WO2020147558A1 - Method and device for pushing food information, and storage medium - Google Patents

Abstract

A method and device for pushing food information, and a storage medium, wherein the method for pushing food information comprises: obtaining a first recommended intake of calories and a second recommended intake of nutrients required by a target object per unit time (S102); determining, from a food information set, a target food combination matching the first recommended intake and the second recommended intake (S104); and pushing the target food combination to a target terminal (S106). The problem of failing to taking the intakes of both calories and nutrients into consideration in food matching is solved, and the effect of making the diets of the user more reasonable is achieved.

Description

Food information pushing method, device and storage medium Technical field

This application relates to the field of diet, and specifically to a method and device for pushing food information, and a storage medium.

Background technique

With the improvement of people's living standards, there are more and more types of food for people to choose. However, people usually choose corresponding foods according to their personal preferences in daily life, for example, some people like greasy food, some people like hemp and/or spicy food, some people like sweets, and so on. If things go on like this, it will often bring negative effects to the body, such as obesity, inflammation, various chronic diseases and so on. There are also some technical solutions in the prior art that only select food based on simple calorie calculations. However, this method only considers food to meet the needs of the human body's caloric dimension, and long-term consumption of food selected by this method may also be detrimental to health.

Summary of the invention

The embodiments of the present application provide a method, a device, and a storage medium for pushing food information, so as to at least solve the problem in the related art that the intake of calories and nutrients cannot be taken into consideration at the same time for food matching.

According to an embodiment of the present application, a method for pushing food information is provided, which includes: obtaining a first recommended amount of calories required by a target object per unit time and a second recommended amount of nutrients required by the target object; The set determines a target food combination that matches the first recommended amount and the second recommended amount; and pushes the target food combination to a target terminal.

According to an embodiment of the present application, there is provided a food information pushing device, including: a first acquisition module configured to acquire the first recommended amount of calories required by a target object per unit time and the first recommended amount of nutrients required 2. Recommended amount; a determining module, configured to determine a target food combination matching the first recommended amount and the second recommended amount in the food information collection; a pushing module, configured to push the target food combination to a target terminal.

According to an embodiment of the present application, there is provided a storage medium in which a computer program is stored, wherein the computer program is configured to execute the method described in the method for pushing food information when running.

Through this application, the first recommended amount of calories required by the target object per unit time and the second recommended amount of nutrients needed are obtained, and then the first recommended amount and the second recommended amount are determined according to the predetermined food information set Match the target food combination, and push the target food combination to the target terminal, that is, the pushed target food combination is obtained according to the first recommended amount of calories and the second recommended amount of nutrients, so that it can push more for the target object Reasonable food combination, rather than choosing the corresponding food according to personal preference, solves the problem that related technologies fail to take into account the intake of calories and nutrients at the same time to consider food matching, and achieves the effect of making the user's diet more reasonable.

BRIEF DESCRIPTION

The drawings described here are used to provide a further understanding of the application and constitute a part of the application. The exemplary embodiments and descriptions of the application are used to explain the application, and do not constitute an improper limitation of the application. In the drawings:

Fig. 1 is a flowchart of a method for pushing diet information according to an embodiment of the present application;

Fig. 2 is a flowchart of a method for displaying diet information according to an embodiment of the present application;

Fig. 3 is a schematic structural diagram of a device for pushing diet information according to an embodiment of the present application;

Fig. 4 is a schematic diagram of the results of the display device for diet information according to an embodiment of the present application.

detailed description

Hereinafter, the present application will be described in detail with reference to the drawings and in conjunction with the embodiments. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other if there is no conflict.

It should be noted that the terms “first” and “second” in the description and claims of the present application and the above drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence.

The food information collection described in this application refers to a collection that contains a variety of food names and categories of various foods; further, the food information collection may also include the origin, price, time of sale, and efficacy of various foods ( Such as lowering blood pressure, lowering blood fat, lowering cholesterol, etc.), purine content, glycemic index and other information.

Example 1

In this embodiment, a method for pushing diet information is provided. FIG. 1 is a flowchart of a method for pushing diet information according to an embodiment of the present application. As shown in FIG. 1, the process includes the following steps:

Step S102, obtaining the first recommended amount of calories required by the target object per unit time and the second recommended amount of nutrients required by the target object;

Step S104: Determine a target food combination matching the first recommended amount and the second recommended amount according to the predetermined food information set;

Step S106: Push the target food combination to the target terminal.

Through the above steps S102 to S106, the first recommended amount of calories required by the target object per unit time and the second recommended amount of nutrients needed are obtained, and then the sum of the first recommended amount and the first recommended amount are determined according to the predetermined food information set. The target food combination that matches the second recommended amount and push the target food combination to the target terminal, that is, the pushed target food combination is obtained according to the first recommended amount of calories and the second recommended amount of nutrients, so that it can be The target object pushes a more reasonable food combination, rather than choosing the corresponding food according to personal preferences, thus solving the problem of not taking into account the intake of calories and nutrients at the same time in the related technology to consider food matching, and achieving a more reasonable diet for users effect.

It should be noted that the execution subject of the method steps involved in this embodiment may be a server or a terminal, where the terminal includes: a mobile phone, a tablet computer, and other devices.

In addition, the first recommended amount of heat required per unit time involved in step S102 of this embodiment can be obtained according to an anthropometric method in an optional implementation of this embodiment. Of course, this is only an example. Other ways to obtain the first recommended amount are also within the scope of protection of this application. The following takes an anthropometric method as an example to illustrate how to obtain the first recommended amount. This anthropometric method is based on the target The subject’s personal information and estimated exercise intensity are obtained. In addition, the anthropometric method uses 1 day as an example. The specific method is as follows:

The personal information of the target object includes but is not limited to: age, gender, height, weight, estimated exercise intensity; the personal information of the target object may further include characteristic information, including but not limited to current season, hometown, and usual residence , Current location, taste, physical condition, price requirements, etc.; the physical condition includes, but is not limited to: whether you have chronic diseases such as gout, diabetes, and/or hypertension. Based on this, the anthropometric method includes the following formula:

Human basal metabolic rate (BMR kcal, male) = 10 * weight (kg) + 6.25 * height (cm)-5 * age (years) + 5 formula 1

Human basal metabolic rate (BMR kcal, female) = 10 * weight (kg) + 6.25 * height (cm)-5 * age (years)-161 formula 2

The first recommended amount (kcal) = BMR* estimated exercise intensity (or exercise coefficient) Equation 3

Among them, exercise intensity or exercise coefficient can be as shown in Table 1;

Crowd classification Self-evaluated reference score Motion coefficient No or little exercise 1 1.2 Do low-intensity exercise 1 to 3 times a week (heart rate <120) 2 1.375 Do moderate-intensity exercise 3 to 5 times a week (heart rate <150) 3 1.55 Do 6-7 times of heavy exercise a week 4 1.725 People engaged in very high intensity sports or activities 5 1.9

Table 1

In an optional implementation of this embodiment, there is a preset first relationship between food types and calories; wherein, the first relationship is used to indicate the relationship between different calorie requirements and the calories that different food types should provide. Correspondence. That is to say, through the first relationship, after the first recommended amount of the target object is obtained through the above-mentioned anthropometric method, the calories that should be provided by different food types can be determined. In a specific application scenario, the first relationship may be a preset diet standard, and then the type of food corresponding to the first recommended amount and the required calories can be obtained, where the diet standard includes but is not limited to: Shu Diet, Healthy Vegetarian Diet, Chinese Resident Dietary Guidelines-Diet Pagoda (for example, 2016 edition), Mediterranean diet.

Below, taking the Mediterranean diet as an example, according to the increment of 200kcal, it is divided into 11 calorie categories from 1000-3200kcal, and Table 2 is formed for the calorie value provided by 13 types of foods respectively;

Calorie Level(kcal/day) 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000 3200 Fruit (kcal) 110.5 103.6 152.8 191.7 205.3 267.0 266.0 267.4 269.2 322.5 328.1 342.0 Starchy vegetables (kcal) 14.4 27.0 26.5 37.4 40.1 41.7 55.4 55.7 70.1 70.0 71.2 74.2 Other vegetables (kcal) 19.4 21.8 21.4 26.9 39.6 41.2 44.7 45.0 52.8 52.7 57.5 59.9 Red orange and purple vegetables (kcal) 3.5 3.2 3.2 6.0 9.6 10.0 13.3 13.4 16.8 16.8 20.5 21.4 Dark green vegetables (kcal) 10.6 17.4 17.2 18.4 24.7 25.7 30.7 30.9 36.3 36.2 42.1 43.9 Beans and peas (kcal) 58.9 92.1 90.6 119.3 146.0 151.9 189.2 190.1 210.6 210.2 272.2 283.7 Whole grain (kcal) 154.8 193.6 238.1 268.7 287.8 299.4 348.0 399.8 452.8 502.3 511.0 532.6 Refined grain (kcal) 142.8 178.6 219.6 247.8 265.5 276.2 321.0 368.8 417.7 463.3 471.4 491.3 Meat and Egg (kcal) 107.3 141.0 188.1 214.2 229.5 269.9 289.5 322.2 324.4 344.7 350.7 365.5 Seafood (kcal) 24.2 30.2 44.6 76.8 112.2 116.8 124.1 124.7 133.4 133.2 135.5 141.2 Nut seed soybean (kcal) 28.0 26.2 38.7 48.5 52.0 67.6 67.3 67.7 68.1 81.6 83.0 86.5 Edible oil (kcal) 152.2 161.7 159.1 193.6 226.3 264.8 283.4 304.5 336.2 355.4 441.9 533.9 Dairy products (kcal) 173.6 203.5 200.2 150.6 161.3 167.8 167.2 210.1 211.5 211.1 214.8 223.9

Table 2

It should be noted that the above table 2 is only a preferred embodiment of the food types corresponding to the first recommended amount in this application and the required calories, and this application is not limited to the first relationship corresponding to the above table 2 , The corresponding relationship indicated by the first relationship may still be in other forms. For example, Table 3 specifically records the corresponding relationship between the weight of various foods and different energy intake levels. This relationship can be calculated by converting the average energy density of various foods into the first relationship described in the application, that is, indicating different calorie requirements and different The corresponding relationship between the calories that should be provided by the food types.

table 3

It can be seen from the above table 2 that the 13 foods corresponding to different calories have corresponding calories; if the unit time is 1 day, and the first recommended amount of the target object is 2000kcal according to anthropometric measurements, it can be determined from Table 2 If the calorie intake is 2000kcal, the calorie content corresponding to the 13 kinds of foods required is shown in the sixth column of Table 2: Fruits need to provide 267.0 kilocalories, starchy vegetables need to provide 41.7 kilocalories, and so on.

It should be noted that the first recommended amount in this application may be a range value or a fixed point value. Under the condition that the first recommended amount remains unchanged, it means that the calories provided by each specific food combination are within the range of the first recommended amount, or the calories provided by each specific food combination are all the first recommended amount The corresponding point value, or the calories provided by each specific food combination, fall around the point value corresponding to the first recommended amount (for example: plus or minus 5% or plus or minus 10%).

In addition, in an optional implementation of this embodiment, there is a preset second relationship between nutrients and calories; wherein, the second relationship is used to indicate the correspondence between different caloric requirements and the recommended intake of each nutrient relationship. In an alternative implementation of this embodiment, the nutrient content corresponding to different recommended amounts of calories can be shown in Table 4. Of course, Table 4 is only an example. The second relationship for other specific forms is also in this application. Within the scope of protection.

Calorie intake (kcal) 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000 Protein (g) 44.0 59.0 69.0 77.0 86.0 89.0 98.0 108.0 114.0 120.0 122.0 Carbohydrate (g) 128.0 155.0 185.0 212.0 236.0 259.0 289.0 313.0 343.0 376.0 394.0 Dietary fiber (g) 14.0 18.0 21.0 26.0 30.0 31.0 36.0 38.0 43.0 46.0 49.0 Total lipid (g) 36.0 41.0 45.0 58.0 62.0 72.0 78.0 85.0 92.0 97.0 111.0 Trans fatty acids (g) 0.4 0.4 0.4 0.6 0.6 0.8 0.9 1.0 1.0 1.1 1.3 Saturated fatty acid (g) 9.3 10.1 11.0 14.3 14.7 18.0 19.4 21.4 23.0 24.3 27.5 Monounsaturated fat (g) 12.8 14.8 16.3 21.0 22.3 26.0 28.3 30.7 33.2 35.1 39.9 Polyunsaturated fat (g) 11.5 13.4 14.4 18.5 20.0 22.6 24.7 26.6 29.0 30.9 35.6 Linoleic acid (g) 10.1 11.7 12.6 16.0 17.2 19.5 21.3 22.5 25.2 26.8 31.0 Linolenic acid (g) 1.2 1.4 1.5 1.9 2.0 2.3 2.5 2.7 3.0 3.2 3.7 Eicosapentaenoic acid/EPA(g) 0.0 0.0 0.1 0.1 0.1 0.1 0.1 0.4 0.2 0.2 0.2 Docosahexaenoic acid/DHA(g) 0.1 0.1 0.1 0.2 0.3 0.3 0.3 0.3 0.3 0.3 0.3 Stearic acid (g) 2.3 2.5 2.7 3.5 3.7 4.5 4.8 5.3 5.7 6.1 6.9 Cholesterol (mg) 88.0 121.0 153.0 198.0 212.0 232.0 251.0 268.0 274.0 289.0 293.0 Calcium (mg) 768.0 975.0 1030.0 936.0 988.0 1001.0 1064.0 1250.0 1309.0 1358.0 1376.0 Iron (mg) 8.0 10.0 13.0 15.0 17.0 17.0 20.0 22.0 24.0 26.0 27.0 Magnesium (mg) 169.0 223.0 262.0 305.0 337.0 352.0 396.0 429.0 469.0 502.0 519.0 Phosphorus (mg) 900.0 1184.0 1331.0 1401.0 1528.0 1572.0 1722.0 1929.0 2053.0 2157.0 2204.0 Potassium (mg) 1611.0 2102.0 2407.0 2823.0 3158.0 3353.0 3701.0 3916.0 4242.0 4,494.0 4,721.0 Sodium (mg) 919.0 1221.0 1404.0 1457.0 1634.0 1685.0 1847.0 2078.0 2210.0 2339.0 2368.0 Zinc (mg) 7.0 9.0 11.0 12.0 13.0 14.0 15.0 17.0 18.0 19.0 20.0 Copper (mg) 0.6 0.8 1.0 1.2 1.4 1.5 1.6 1.7 1.9 2.0 2.1 Manganese (mg) 2.0 2.0 3.0 4.0 4.0 4.0 5.0 5.0 6.0 6.0 6.0 Selenium (μg) 51.0 70.0 86.0 99.0 114.0 118.0 130.0 143.0 152.0 161.0 162.0 Vitamin A (μg, RAE) 467.0 599.0 646.0 713.0 790.0 815.0 901.0 985.0 1083.0 1125.0 1161.0 Vitamin E (mg, AT) 4.9 5.9 6.6 8.6 9.5 10.5 11.5 12.2 13.4 14.2 15.8 Vitamin D (IU) 157.0 203.0 219.0 225.0 246.0 251.0 263.0 299.0 308.0 314.0 316.0 Vitamin C (mg) 54.0 64.0 82.0 109.0 117.0 134.0 144.0 145.0 155.0 172.0 179.0 Vitamin B1 (mg) 0.8 1.1 1.3 1.4 1.7 1.7 2.0 2.2 2.4 2.6 2.7 Vitamin B2 (mg) 1.1 1.5 1.7 1.7 1.8 1.9 2.0 2.3 2.4 2.6 2.6 Niacin (mg) 10.0 14.0 18.0 21.0 24.0 25.0 28.0 30.0 33.0 35.0 36.0 Vitamin B-6 (mg) 1.1 1.4 1.7 2.1 2.3 2.4 2.7 2.9 3.1 3.4 3.5 Vitamin B-12 (μg) 3.4 4.6 5.3 6.3 7.2 7.4 7.9 8.7 9.1 9.4 9.4 Choline (mg) 159.0 216.0 257.0 300.0 323.0 345.0 379.0 409.0 429.0 454.0 466.0 Vitamin K (μg) 58.0 88.0 90.0 125.0 134.0 140.0 172.0 176.0 206.0 211.0 229.0 Folic acid (μg, DFE) 274.0 363.0 437.0 495.0 579.0 592.0 693.0 757.0 853.0 924.0 956.0

Table 4

It should be noted that in this application, the first relationship and the second relationship may be stored on the terminal side or the server side at the same time or separately.

In an alternative implementation of this embodiment, the method steps of this embodiment may further include:

Step S108, obtaining food types; where the number of food types is N, and N is a positive integer;

It should be noted that this step S108 can be performed before or after any of the above steps S102 to S106. In addition, the food type N involved in this step S108 can refer to all existing food types. It can be part of all food types, such as the 13 types of food in Table 2. In other words, the food category can be obtained according to the actual situation.

In an optional implementation manner of this embodiment, the target food combination mode that matches the first recommended amount and the second recommended amount in the food information set involved in step S104 in this embodiment may be:

Step S104-11: Preliminarily determine the first food combination according to the food type and the first recommended amount;

For this step S104-11, the first food combination can be preliminarily determined after the food type and the first recommended amount are determined. Taking Table 2 as an example, if there are 13 food types, and the determined first recommended amount is 2000kcal /day, the preliminarily determined calories provided by various foods in the first food combination are: fruits 267.0kcal; starchy vegetables 41.7kcal; other vegetables 41.2kcal; red orange and purple vegetables 10.0kcal; dark green vegetables 25.7kcal; Beans and peas; 151.9kcal; whole grains 299.4kcal; refined grains 276.2kcal; meat and eggs 269.9kcal; seafood 116.8kcal; nut seeds and soybeans 67.6kcal; edible oil 264.8kcal; dairy products 167.8kcal. Further combining the energy density of each specific food, in a specific embodiment, the first food combination can be randomly obtained, as shown in Table 5.

Food type Food name Total (g) fruit apple 500 Dark green vegetables Chrysanthemum 57 Red orange and purple vegetables carrot 171 Beans and peas Carob 57 Starchy vegetables sweet potato 171 Other vegetables Qianbaocai 142 Whole grains barley 112 Refined grains flour 112

Meat and eggs Pork front leg 125 seafood Serrano 64 Nut Seed Soy peanut 20 Dairy products Fresh milk 625 Cooking oil Sesame oil 31

table 5

It should be noted that the above is the first food combination randomly selected when the first recommended amount is 2000kcal/day, and when the first recommended amount is other values, in specific application scenarios, the above table 2 and The energy density of each specific food determines other first food combinations.

Step S104-12: Under the condition that the first recommended amount remains unchanged, the food in the first food combination and the corresponding food amount are adjusted through heuristic search or random search to determine the second recommended amount Matching target food combination;

It should be noted that there are many kinds of nutrients required in this embodiment; the second recommended amount of required nutrients includes the third recommended amount respectively corresponding to different required nutrients. That is to say, the second recommended amount involved in this embodiment includes the third recommended amount corresponding to each specific nutrient. In a specific application scenario, combining Table 2 and Table 4 above, it can be seen that the first recommended amount is In the case of 2000kcal/day, the second recommended amount includes the third recommended amount of each specific nutrient, for example, protein is 89g; carbohydrate is 259g; fiber food is 31g and so on.

The random search method is simple and easy to implement; the heuristic search method is relatively random search scheme, in the case of food types, nutrient quantities, and specific foods under each food type, it can greatly improve the determination of the target The efficiency of food combinations.

Wherein, for this step S104-12 in an optional implementation of this embodiment, it may be:

Step A, adjustment step: replace the first food in the first food combination with foods in the food information set that belong to the same food category as the first food in the first food combination, and adjust the amount of food replaced each time, Obtain the score of each adjusted food combination; wherein, the score of the adjusted food combination is obtained according to the comparison result of the nutrient content in each adjusted food combination with the second recommended amount.

Among them, in a specific application scenario, taking the above-mentioned Mediterranean diet as an example, there are 13 types of food in the first food combination of this embodiment. In the first adjustment process, one of the food types is selected as the adjustment object, for example, select The food category of is 13 kinds of fruits, and the food in this fruit category includes one or more specific fruits (such as grapes, bananas, apples, pears, etc.), that is to say, only the first food combination Foods belonging to fruits are adjusted, and foods other than fruits are not replaced. The specific replacement method is as follows: randomly or in a certain order from the food information set, replace the fruits in the first food combination with specific fruits, such as replacing the grapes in the first food combination with lychees, and combine them simultaneously To determine the amount of lychees in the first food combination after the replacement, or to replace the bananas in the first food combination with watermelon, and combine the original food The calories required by the fruit in a food combination, the energy density of the watermelon, the amount of watermelon in the first food combination after replacement, and so on are determined.

In addition, it should be noted that the score of the adjusted food combination is obtained based on the comparison between the nutrient content after each adjustment and the second recommended amount. This means that the content of each nutrient after each adjustment is corresponding to the first recommended amount. Three recommended amounts are compared to obtain the score of each nutrient, and the score of each nutrient is synthesized to obtain the adjusted food combination score.

Among them, it should be noted that the third recommended amount in this embodiment can be a range value or a fixed point value; however, in this embodiment, it is preferably a range value; each nutrient has a corresponding The third recommended amount; based on this, there are many ways to obtain the score of each nutrient by comparing the content of each nutrient after each replacement with the corresponding third recommended amount, such as method (1) Determine after each replacement Whether the content of each nutrient falls within the value range indicated by the corresponding third recommended amount, the nutrient falling within the value range gets the corresponding score, and the nutrient that does not fall within the value range is zero. Method (2) Determine whether the content of each nutrient of the food combination after each replacement falls within the value range indicated by the corresponding third recommended amount, and the nutrients falling into the value range get the corresponding score, and then calculate The ratio between the nutrient content that does not fall into the value range and the corresponding third recommended amount, and the corresponding score is obtained according to the ratio. It should be noted that the above method is only an example to illustrate the method of comparing the third recommended amount of each nutrient content after each adjustment to obtain the score of each nutrient. The same is true for other methods of obtaining scores based on comparison. Within the protection scope of this application.

Taking method (1) as an example, if there are 36 nutrients involved in this example, the adjusted nutrients fall within the value range indicated by the third recommended amount and count 1 point (of course, other scoring systems can also be used) There are 20 nutrients for food, and the nutrients that do not fall into 0 points are 16. Therefore, the sum of the scores of the nutrients after the statistical adjustment is used as the score of the food combination, that is, the score of the food combination is 20 points.

It should be noted that the content of each nutrient in the first food combination and the adjusted food combination is calculated based on the amount of each specific food in the corresponding food combination and the density of each nutrient of each specific food.

It should be noted that the nutrients and quantities in this application can be selected according to actual conditions, that is, the selection range of nutrients in this application includes but is not limited to those shown in Table 4 above.

Step B, random step: arrange the scores of all food combinations in the previous step A in order, and give corresponding indexes to each food combination in the order of arrangement, and perform the scores of all the food combinations in the previous step A The sum is calculated to obtain the total, and the obtained total is a random range, a random value is randomly generated within the random range, and the food combination corresponding to the index corresponding to the random value is used as the adjusted food combination.

It should be noted that the sequential arrangement is preferably arranged in the order of replacement, or arranged according to the score value, or arranged randomly, etc.; all the food combinations in the previous step A refer to before the step B All the food combinations that occurred in the most recent step A, or all the food combinations that occurred in the most recent step A before the step B, except for the first food combination; preferably, the most recent food combination before the step B For all the food combinations that appeared in step A at one time, this preferred solution can further improve the efficiency of obtaining the target food combination.

Wherein, the step B is preferably: normalize the scores of all food combinations in the previous step A, and arrange the normalized results in order, and give each food combination in the order of arrangement. The corresponding index is calculated by summing all the normalized results in the current step B to obtain the total number. The total number obtained is the random range, and a random value is randomly selected within the random range. The random value is determined by the random value. The food combination corresponding to the corresponding index is used as the adjusted food group.

It should be noted that there are many ways of normalization, including but not limited to normalization according to the sum as a certain number, or normalization according to the maximum number as a certain number, and so on.

Furthermore, in step B, the scores of each food combination in the random step are processed according to the following preferred methods, and then the corresponding steps are executed:

Using the base e of the natural logarithm as the base, and the product of the score of each food combination and the preset value as the index, the score of each food combination after preliminary processing is obtained;

The step B is specifically:

Normalize the scores of all the food combinations after the preliminary treatment in the previous step A, and arrange the results after the normalization in order, and separate the food combinations in the previous step A in the order of arrangement Given the corresponding index, sum up all the normalized results in step B of the current time to calculate the total number, and use the total number as a random range, and randomly select a random value within the random range. The food combination corresponding to the index corresponding to the value is used as the adjusted food group.

Preferably, the preset value is between 1.1-30, more preferably between 2-20.

It should be noted that processing the scores of each food combination by the above-mentioned optimization method can increase the gap between the scores of each food combination and increase the scores of the food combinations obtained through random numerical correspondence to a higher score. The probability of the value interval, thereby further improving the efficiency of obtaining the target food combination.

In a specific application scenario, the normalization process can be: the sum of the calculation results obtained after all food replacements is normalized to 1, and each time the food is replaced according to its index value, and the order of the food is adjusted from Sort in order from 0 to 1; and then a random number R between 0-1, and the food combination corresponding to the index value of R is determined as the adjusted food combination.

Step C, the first cycle step: the adjusted food combination obtained in the previous step B is used as the first food combination in the next step A, and the food type of the first food to be replaced in the process of performing step A again is replaced In principle, steps A to B are repeated until all N foods in the first food combination have been adjusted from step A to step B.

In other words, after adjusting a fixed specified type of food, use the adjusted food combination as the object of the next adjustment, and continue to adjust the other types of food in the first food combination until all N types are adjusted. Have been adjusted. For example, after all fruit foods are replaced, it is necessary to adjust other foods in the first food combination, such as seafood foods. The replacement method is the same as the fruit replacement method. A variety of (fish, shrimp, clams, scallops, etc.), the specific seafood foods are replaced in turn, and the amount of specific seafood foods after replacement is calculated according to the caloric density of the corresponding foods, and the adjusted food combination is obtained until All types of food in the first food combination have been replaced.

Step D, the second cycle step: repeat the above steps A to C until the target food combination that meets the preset conditions is obtained.

It can be seen that for this step D, after replacing all the foods for the first time, the above-mentioned replacement operation can be repeated again until the target food combination that meets the preset conditions appears.

Preferably, the preset conditions include at least one of the following:

(1) The number of repeated steps A to C reaches the preset number;

For this method (1), in this embodiment, the preset number of times can be in the range of 10 to 30 times. Of course, this is only an example. The range of other preset times is possible, and the corresponding can be done according to the actual situation. The setting is not limited in this application.

(2) In the process of repeating steps A to B, or repeating steps A to C, there are X adjusted first food combinations, and each of the X adjusted first food combinations contains the first order The amount of bit nutrients all fall within the range indicated by the second recommended amount; X is a positive integer.

For this method (2), since nutrients can be prioritized according to actual conditions (daily required amounts or personal conditions), that is to say, each specific nutrient has a corresponding priority order, and in specific applications The scene can be as shown in Table 6;

Nutrient classification priority Nutrient classification priority Nutrient classification priority protein 1 Stearic acid 3 Vitamin A 2

Carbohydrates 1 cholesterol 2 Vitamin E 2 Dietary fiber 1 calcium 2 Vitamin D 2 Total fat 1 iron 2 Vitamin C 2 trans fat 2 magnesium 4 Vitamin B1 4 saturated fatty acid 2 phosphorus 4 Vitamin B2 4 Monounsaturated fatty acid 3 Potassium 4 Vitamin B3 4 Polyunsaturated fatty acid 3 sodium 4 Vitamin B6 4 Linoleic acid 3 Zinc 4 Vitamin B12 4 Linolenic acid 3 copper 4 choline 4 EPA 3 manganese 4 Vitamin K 4 DHA 3 selenium 4 Vitamin B9 4

Table 6

It can be seen from Table 6 above that the priority is represented by numbers from 1 to 4. The larger the number, the lower the priority. Therefore, the first order nutrients involved in this embodiment include: protein, carbohydrate, dietary fiber, Total fat. Of course, the above-mentioned nutrients in the first order are just examples, and adjustments can also be made according to the actual situation of each person. For example, if a person is relatively deficient in vitamins, set the vitamin-related nutrients as the first Nutrients in order. That is, the above method (2) is only for illustration. For the preset condition, only some of the high priority nutrients are required to meet the range indicated by the second recommended amount, and then the adjusted food combination can be used as the target food Combination, without all nutrients meeting the range indicated by the second recommended amount.

(3) In the process of repeating steps A to B, or repeating steps A to C, Y adjusted first food combinations appear, and the scores of the Y adjusted first food combinations fall into the first A preset range.

For this method (3), since each adjusted food combination obtains a corresponding score, as long as there are Y adjusted first food combinations whose scores fall within the first preset range, they can be regarded as Target food combination. Since the value of Y is flexible, that is, the value of Y can be selected according to different situations. If 35 nutrients are taken as an example, the highest score is 35 points. Therefore, the first preset range may be greater than or equal to 30 and less than or equal to 35, or greater than or equal to 28 and less than or equal to 33. The first preset range can also be valued according to actual conditions, which is not limited in this application.

Taking the above Table 2 and Table 4 as an example, for the above steps A to B, in a specific application scenario, there are 13 types of food and 35 types of nutrients. After the first food combination is obtained, assume the first type There are only 10 specific food types for food, and only the first type of food in the first food combination is replaced when the above steps A to B are performed for the first time, so including the first food combination, ten food combinations can be obtained The scores are 11, 15, 18, 20, 14, 23, 28, 29, 30, 25 according to the order of replacement. The sum of these scores is normalized to 1, and the normalized scores are: 0.05, 0.07, 0.08, 0.09, 0.07, 0.1, 0.13, 0.14, 0.14, 0.11. Using 1 as the random range, a random value is randomly generated within the random range, and the food combination corresponding to the index corresponding to the random value is used as the adjusted food combination, and the subsequent steps D and D are continued.

It should be noted that the above is only an example and does not constitute a limitation to the application.

In addition, on the basis of any of the above embodiments, it may further include:

Acquire the personal information of the target object, adjust the food information set according to the characteristic information in the personal information of the target object; and then determine the difference between the first recommended amount and the second recommended amount in the adjusted food information set Matched target food combination. That is, a screening step based on the target object is added to the food information set. This solution can reduce the budget for subsequent steps, improve efficiency, and provide more personalized target food combinations suitable for target objects.

In an embodiment of the present application, if the target object suffers from diabetes, the food with a glycemic index higher than a first preset value (for example, 65) is removed from the food information set, and then the adjusted food information set determines A target food combination that matches the first recommended amount and the second recommended amount. This embodiment can provide a more personalized target food combination suitable for the target object.

In an embodiment of the present application, if the target object suffers from gout, the food with purine content higher than the second preset value (for example, 180mg/100g) is removed from the food information set, and then the adjusted food information set is determined A target food combination that matches the first recommended amount and the second recommended amount is calculated. This embodiment can provide a more personalized target food combination suitable for the target object.

Example 2

This embodiment provides a method for displaying food information. FIG. 2 is a flowchart of the method for displaying food information according to an embodiment of the present application. As shown in FIG. 2, the steps of the method include:

Step S202, obtaining the first recommended amount of calories required by the target object per unit time and the second recommended amount of nutrients required by the target object;

Step S204: Obtain the target food combination that matches the first recommended amount and the second recommended amount determined in the food information set;

Step S206: Display the target food combination on the target terminal.

Through the above steps S202 to S206, the first recommended amount of calories needed by the target object per unit time and the second recommended amount of nutrients needed are obtained, and then the sum of the first recommended amount and the first recommended amount are determined according to the predetermined food information set. The target food combination that matches the second recommended amount, and the target food combination is displayed on the target terminal, that is, the displayed target food combination is obtained based on the first recommended amount of calories and the second recommended amount of nutrients, so that Show a more reasonable food combination for the target object, instead of choosing the corresponding food according to personal preference, so as to solve the problem of not taking into account the intake of calories and nutrients at the same time in the related technology to consider the food matching problem, and achieve a more reasonable diet for users Effect.

It should be noted that the execution subject of the method steps involved in this embodiment may be a terminal, where the terminal includes: mobile phones, tablet computers and other devices.

In addition, the first recommended amount of heat required per unit time involved in step S202 of this embodiment can be obtained according to an anthropometric method in an optional implementation of this embodiment, of course, this is only an example. Other ways to obtain the first recommended amount are also within the scope of protection of this application. The following takes an anthropometric method as an example to illustrate how to obtain the first recommended amount. This anthropometric method is based on the target The subject’s personal information and estimated exercise intensity are obtained. In addition, the anthropometric method uses 1 day as an example. The specific method is as follows:

The personal information of the target object includes but is not limited to: age, gender, height, weight, estimated exercise intensity; the personal information of the target object may further include characteristic information, including but not limited to current season, hometown, and usual residence , Current location, taste, physical condition, price requirements, etc.; the physical condition includes but is not limited to whether it includes chronic diseases such as gout, diabetes, and/or hypertension. Based on this, the anthropometric method is consistent with the thermal body measurement method in Example 1, that is, the anthropometric method in this embodiment includes Formula 1 to Formula 3, which will not be repeated here.

In an optional implementation of this embodiment, there is a preset first relationship between food types and calories; wherein, the first relationship is used to indicate the relationship between different calorie requirements and the calories that different food types should provide. Correspondence. That is to say, through the first relationship, after the first recommended amount of the target object is obtained through the above-mentioned anthropometric method, the calories that should be provided by different food types can be determined. In a specific application scenario, the first relationship may be a preset diet standard, and then the type of food corresponding to the first recommended amount and the required calories can be obtained, where the diet standard includes but is not limited to: Shu Diet Method, Healthy Vegetarian Diet Method, Chinese Resident Diet Guide Edition-Diet Pagoda (for example, 2016 version), Mediterranean diet method.

Taking the Mediterranean diet as an example, according to the 200kcal increment, it is divided into 11 calorie categories from 1000-3200kcal, and the formation of the caloric value required for 13 types of food is shown in Table 2 or Table 3.

It can be seen from the above table 2 that the 13 foods corresponding to different calories have corresponding calories; if the unit time is 1 day, and the first recommended amount of the target object is 2000kcal according to anthropometric measurements, it can be determined from Table 2 If the calorie intake is 2000kcal, the calorie content corresponding to the 13 kinds of foods required is shown in the sixth column of Table 2: Fruits need to provide 267.0 kilocalories, starchy vegetables need to provide 41.7 kilocalories, and so on.

In addition, in an optional implementation of this embodiment, there is a preset second relationship between nutrients and calories; wherein, the second relationship is used to indicate the correspondence between different caloric requirements and the recommended intake of each nutrient relationship. In an alternative implementation of this embodiment, the nutrient content corresponding to different recommended amounts of calories can be shown in Table 4. Of course, Table 4 is only an example. The second relationship for other specific forms is also in this application. Within the scope of protection.

In an alternative implementation of this embodiment, the method steps of this embodiment may further include:

Step S208, obtaining food types; wherein the number of food types is N, and N is a positive integer;

It should be noted that this step S208 can be performed before or after any of the above steps S202 to S206. In addition, the food type N involved in this step S208 can refer to all existing food types. It can be part of all food types, such as the 13 types of food in Table 2. In other words, the food category can be obtained according to the actual situation.

In an optional implementation of this embodiment, the method of obtaining the target food combination determined in the food information set that matches the first recommended amount and the second recommended amount involved in step S204 of this embodiment includes:

Step S204-11: Preliminarily determine the first food combination according to the food type and the first recommended amount;

For this step S204-11, the first food combination can be preliminarily determined after the food type and the first recommended amount are determined. Taking Table 2 as an example, if there are 13 food types, and the determined first recommended amount is 2000kcal /day, the preliminarily determined calories provided by various foods in the first food combination are: fruits 267.0kcal; starchy vegetables 41.7kcal; other vegetables 41.2kcal; red orange and purple vegetables 10.0kcal; dark green vegetables 25.7kcal; Beans and peas; 151.9kcal; whole grains 299.4kcal; refined grains 276.2kcal; meat and eggs 269.9kcal; seafood 116.8kcal; nuts seed soybeans 67.6kcal; edible oils 264.8kcal; dairy products 167.8kcal. Further combining the energy density of each specific food, in a specific embodiment, the first food combination can be randomly obtained, as shown in Table 5.

Step S204-12: Under the condition that the first recommended amount remains unchanged, the food in the first food combination and the corresponding food amount are adjusted through heuristic search or random search to determine the second recommended amount The matched target food combination; wherein, there are multiple required nutrients; the second recommended amount of required nutrients includes the third recommended amount respectively corresponding to different required nutrients.

It should be noted that there are many kinds of nutrients required in this embodiment; the second recommended amount of required nutrients includes the third recommended amount respectively corresponding to different required nutrients. That is to say, the second recommended amount involved in this embodiment includes the third recommended amount corresponding to each specific nutrient. In a specific application scenario, combining Table 2 and Table 4 above, it can be seen that the first recommended amount is In the case of 2000kcal/day, the second recommended amount includes the third recommended amount of each specific nutrient, for example, protein is 89g; carbohydrate is 259g; fiber food is 31g and so on.

The random search method is simple and easy to implement; the heuristic search method is relatively random search scheme, in the case of food types, nutrient quantities, and specific foods under each food type, it can greatly improve the determination of the target The efficiency of food combinations.

Wherein, for this step S204-13 in an optional implementation manner of this embodiment, it may be:

Step A, adjustment step: replace the first food in the first food combination with foods in the food information set that belong to the same food category as the first food in the first food combination, and adjust the amount of food replaced each time, Obtain the score of each adjusted food combination; wherein, the score of the adjusted food combination is obtained based on the comparison result of the nutrient content in each adjusted food combination with the second recommended amount;

Among them, in a specific application scenario, taking the above-mentioned Mediterranean diet as an example, there are 13 types of food in the first food combination of this embodiment. In the first adjustment process, one of the food types is selected as the adjustment object, for example, select The food category of is 13 kinds of fruits, and the food in this fruit category includes one or more specific fruits (such as grapes, bananas, apples, pears, etc.), that is to say, only the first food combination Foods that belong to the fruit category are adjusted, and other types of foods except fruits are not replaced. The specific replacement method is as follows: randomly or in a certain order from the food information set, replace the fruits in the first food combination with specific fruits, such as replacing the grapes in the first food combination with lychees, and combine them simultaneously To determine the amount of lychees in the first food combination after the replacement, or to replace the bananas in the first food combination with watermelon, and combine the original food The calories required by the fruit in a food combination, the energy density of the watermelon, the amount of watermelon in the first food combination after replacement, and so on are determined.

In addition, it should be noted that the score of the adjusted food combination is obtained based on the comparison between the nutrient content after each adjustment and the second recommended amount. This means that the content of each nutrient after each adjustment is corresponding to the first recommended amount. Three recommended amounts are compared to obtain the score of each nutrient, and the score of each nutrient is synthesized to obtain the adjusted food combination score.

Among them, it should be noted that the third recommended amount in this embodiment can be a range value or a fixed point value; however, in this embodiment, it is preferably a range value; each nutrient has a corresponding The third recommended amount; based on this, there are many ways to obtain the score of each nutrient by comparing the content of each nutrient after each replacement with the corresponding third recommended amount, such as method (1) Determine after each replacement Whether the content of each nutrient falls within the value range indicated by the corresponding third recommended amount, the nutrient falling within the value range gets the corresponding score, and the nutrient that does not fall within the value range is zero. Method (2) Determine whether the content of each nutrient of the food combination after each replacement falls within the value range indicated by the corresponding third recommended amount, and the nutrients falling into the value range get the corresponding score, and then calculate The ratio between the nutrient content that does not fall into the value range and the corresponding third recommended amount, and the corresponding score is obtained according to the ratio. It should be noted that the above method is only an example to illustrate the method of comparing the third recommended amount of each nutrient content after each adjustment to obtain the score of each nutrient. The same is true for other methods of obtaining scores based on comparison. Within the protection scope of this application, take mode (1) as an example. If there are 35 nutrients involved in this example, the adjusted nutrients fall within the value range indicated by the second recommended amount and count as 1 point ( Of course, it can also be other scoring system) There are 20 nutrients, and the nutrients that do not fall into 0 points are 15. Therefore, the sum of the scores of the nutrients after the statistical adjustment is used as the score of the food combination, that is, the food The score for the combination is 20 points.

It should be noted that the content of each nutrient in the first food combination and the adjusted food combination is calculated based on the amount of each specific food in the corresponding food combination and the density of each nutrient of each specific food.

It should be noted that the quantity of nutrients in this application can be selected according to actual conditions, that is, the quantity of nutrients in this application includes but is not limited to those shown in Table 4 above.

Step B, random step: arrange the scores of all food combinations in the previous step A in order, and give corresponding indexes to each food combination in the order of arrangement, and perform the scores of all the food combinations in the previous step A The sum is calculated to obtain the total, and the obtained total is a random range, a random value is randomly generated within the random range, and the food combination corresponding to the index corresponding to the random value is used as the adjusted food combination.

It should be noted that the sequential arrangement is preferably arranged in the order of replacement, or arranged according to the score value, or arranged randomly, etc.; all the food combinations in the previous step A refer to before the step B All the food combinations that occurred in the most recent step A, or all the food combinations that occurred in the most recent step A before the step B, except for the first food combination; preferably, the most recent food combination before the step B For all the food combinations that appeared in step A at one time, this preferred solution can further improve the efficiency of obtaining the target food combination.

Wherein, the step B is preferably: normalize the scores of all food combinations in the previous step A, and arrange the normalized results in order, and give each food combination in the order of arrangement. The corresponding index is calculated by summing all the normalized results in the current step B to obtain the total number. The total number obtained is the random range, and a random value is randomly selected within the random range. The random value is determined by the random value. The food combination corresponding to the corresponding index is used as the adjusted food group.

It should be noted that there are many ways of normalization, including but not limited to normalization according to the sum as a certain number, or normalization according to the maximum number as a certain number, and so on.

Furthermore, in step B, the scores of each food combination in the random step are processed according to the following preferred methods, and then the corresponding steps are executed:

Using the base e of the natural logarithm as the base, and the product of the score of each food combination and the preset value as the index, the score of each food combination after preliminary processing is obtained;

The step B is specifically:

Normalize the scores of all the food combinations after the preliminary treatment in the previous step A, and arrange the results after the normalization in order, and separate the food combinations in the previous step A in the order of arrangement Given the corresponding index, sum up all the normalized results in step B of the current time to calculate the total number, and take the total number as a random range, and randomly select a random value within the random range. The food combination corresponding to the index corresponding to the value is used as the adjusted food group.

Preferably, the preset value is between 1.1-30, more preferably between 2-20.

It should be noted that processing the scores of each food combination by the above-mentioned optimization method can increase the gap between the scores of each food combination and increase the scores of the food combinations obtained through random numerical correspondence to a higher score. The probability of the value interval, thereby further improving the efficiency of obtaining the target food combination.

In a specific application scenario, the normalization process can be: the sum of the calculation results obtained after all food replacements is normalized to 1, and each time the food is replaced according to its index value, and the order of the food is adjusted from Sort in order from 0 to 1; and then a random number R between 0-1, and the food combination corresponding to the index value of R is determined as the adjusted food combination.

Step C, the first cycle step: the adjusted food combination obtained in the previous step B is used as the first food combination in the next step A, and the food type of the first food to be replaced in the process of performing step A again is replaced In principle, repeat steps A to B until all the N foods in the first food combination have been adjusted from step A to step B;

In other words, after adjusting a fixed specified type of food, use the adjusted food combination as the object of the next adjustment, and continue to adjust the other types of food in the first food combination until all N types are adjusted. Have been adjusted. For example, after all fruit foods are replaced, it is necessary to adjust other foods in the first food combination, such as seafood foods. The replacement method is the same as the fruit replacement method. A variety of (fish, shrimp, clams, scallops, etc.), the specific seafood foods are replaced in turn, and the amount of specific seafood foods after replacement is calculated according to the caloric density of the corresponding foods, and the adjusted food combination is obtained until All types of food in the first food combination have been replaced.

Step D, the second loop step: repeat the above steps A to C until a target food combination that meets the preset conditions is obtained;

It can be seen that for this step D, after all foods are replaced for the first time, the above replacement operation can be repeated again until a target food combination that meets the preset conditions appears.

Preferably, the preset conditions include at least one of the following:

(1) The number of repeated steps A to C reaches the preset number;

For this method (1), in this embodiment, the preset number of times can be in the range of 10 to 30 times. Of course, this is only an example. The range of other preset times is possible, and the corresponding can be done according to the actual situation. The setting is not limited in this application.

(2) In the process of repeating steps A to B, or repeating steps A to C, there are X adjusted first food combinations, and each of the X adjusted first food combinations contains the first order The amount of bit nutrients all fall within the range indicated by the second recommended amount; X is a positive integer.

For this method (2), since nutrients can be prioritized according to actual conditions (daily required amounts or personal conditions), that is to say, each specific nutrient has a corresponding priority order, and in specific applications The scenario can be as shown in Table 5 above.

It can be seen from the above Table 5 that the priority is represented by numbers from 1 to 4. The larger the number, the lower the priority. Therefore, the first-order nutrients involved in this embodiment include: protein, carbohydrate, dietary fiber, Total fat. Of course, the above-mentioned nutrients in the first order are just examples, and adjustments can also be made according to the actual situation of each person. For example, if a person is relatively deficient in vitamins, set the vitamin-related nutrients as the first Nutrients in order. That is, the above method (2) is only for illustration. For the preset condition, only some of the high priority nutrients are required to meet the range indicated by the second recommended amount, and then the adjusted food combination can be used as the target food Combination, without all nutrients meeting the range indicated by the second recommended amount.

(3) In the process of repeating steps A to B, or repeating steps A to C, Y adjusted first food combinations appear, and the scores of the Y adjusted first food combinations fall into the first A preset range.

For this method (3), since each adjusted food combination obtains a corresponding score, as long as there are Y adjusted first food combinations that fall within the first preset range, they can be used as Target food combination. Since the value of Y is flexible, that is, the value of Y can be selected according to different situations. If 35 nutrients are taken as an example, the highest score is 35 points. Therefore, the first preset range may be greater than or equal to 30 and less than or equal to 35, or greater than or equal to 28 and less than or equal to 33. The first preset range can also be valued according to actual conditions, which is not limited in this application.

Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is Better implementation. Based on this understanding, the technical solution of this application essentially or the part that contributes to the existing technology can be embodied in the form of a software product, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, The optical disc) includes several instructions to make a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) execute the methods described in the various embodiments of the present application.

Example 3

In this embodiment, a device for pushing food information is also provided, and the device is used to implement the above-mentioned embodiments and preferred implementations, and those that have been explained will not be repeated. As used below, the term "module" may implement a combination of software and/or hardware that performs predetermined functions. Although the devices described in the following embodiments are preferably implemented in software, implementation of hardware or a combination of software and hardware is also possible and conceived.

FIG. 3 is a schematic structural diagram of a device for pushing food information according to an embodiment of the present application. As shown in FIG. 3, the device includes: a first acquiring module 32 configured to acquire the first amount of calories required by the target object per unit time The recommended amount and the second recommended amount of nutrients required; the determining module 34, coupled to the first obtaining module 32, is configured to determine a target food combination matching the first recommended amount and the second recommended amount in the food information collection; The pushing module 36 is coupled to the determining module 34 and configured to push the target food combination to the target terminal.

It should be noted that the food information pushing device can be applied to a server or a terminal device, and the terminal device can be a mobile phone, a tablet computer, a laptop computer, and so on.

In addition, since the third embodiment is an apparatus embodiment corresponding to the first embodiment. Therefore, the first acquiring module 32 involved in this embodiment can be configured to perform the above step S102, the determining module 34 can be configured to perform the above step S104, and the pushing module 36 can be configured to perform the step S106.

Based on this, the first recommended amount of heat required per unit time involved in this embodiment can be obtained according to an anthropometric method in an alternative implementation of this embodiment. Of course, this is only an example for illustration. The way in which the first recommended amount can be obtained is also within the scope of protection of this application. The following takes an anthropometric method as an example to illustrate how to obtain the first recommended amount. The anthropometric method is based on the target object The personal information and estimated exercise intensity are obtained. In addition, the anthropometric method uses 1 day as an example. The specific method is as follows:

The personal information of the target object but not limited to: age, gender, height, weight, estimated exercise intensity; the personal information of the target object may further include characteristic information including but not limited to the current season, hometown, permanent residence, Current location, taste, physical state, price requirements, etc.; the physical state includes, but is not limited to: whether you have chronic diseases such as gout, diabetes, and/or hypertension, that is, in this embodiment, the anthropometric method includes the formula 1 to 3 are not repeated here.

In an optional implementation of this embodiment, there is a preset first relationship between food types and calories; wherein, the first relationship is used to indicate the relationship between different calorie requirements and the calories that different food types should provide. Correspondence. That is to say, through the first relationship, after the first recommended amount of the target object is obtained through the above-mentioned anthropometric method, the calories that should be provided by different food types can be determined. In a specific application scenario, the first relationship may be a preset diet standard, and then the type of food corresponding to the first recommended amount and the required calories can be obtained, where the diet standard includes but is not limited to: Shu Diet, Healthy Vegetarian Diet, Chinese Resident Dietary Guidelines-Diet Pagoda (for example, 2016 edition), Mediterranean diet.

Taking the Mediterranean diet as an example, according to the 200kcal increment, it is divided into 11 calorie categories from 1000-3200kcal, and the formation of the caloric value required for 13 types of food is shown in Table 2 or Table 3.

It can be seen from Table 2 above that the 13 foods corresponding to different calories have corresponding calories; if the unit time is 1 day and the first recommended amount of the target object is 2000kcal according to anthropometric measurements, it can be determined from Table 2 If the calorie intake is 2000kcal, the calorie content corresponding to the 13 foods required is shown in the sixth column of Table 2: Fruits require 267.0 calories, starchy vegetables require 41.7 calories, and so on.

In addition, in an optional implementation of this embodiment, there is a preset second relationship between nutrients and calories; wherein, the second relationship is used to indicate the correspondence between different caloric requirements and the recommended intake of each nutrient relationship. In an alternative implementation of this embodiment, the nutrient content corresponding to different recommended amounts of calories can be shown in Table 4. Of course, Table 4 is only an example. The second relationship for other specific forms is also in this application. Within the scope of protection.

Optionally, the device of this embodiment may further include: a second acquisition module configured to acquire food types; wherein the number of food types is N, and N is a positive integer.

It should be noted that the obtained food type N may refer to all existing food types, or part of all food types, such as the 13 types of food in Table 2. In other words, the food category can be obtained according to the actual situation.

The determining module 34 involved in this embodiment includes: a first determining unit configured to preliminarily determine a first food combination based on the type of food and the first recommended amount; and a second determining unit configured to change the first recommended amount. In this case, the food in the first food combination and the corresponding food amount are adjusted through heuristic search or random search to determine the target food combination that matches the second recommended amount; wherein, the required nutrients are: Multiple; the second recommended amount of required nutrients includes the third recommended amount corresponding to different required nutrients.

For the first food combination determined by the first determining unit, taking Table 2 above as an example, if there are 13 types of food and the determined first recommended amount is 2000kcal/day, each of the first food combinations determined preliminarily The calories that should be provided by foods are: fruits 267.0kcal; starchy vegetables 41.7kcal; other vegetables 41.2kcal; red orange and purple vegetables 10.0kcal; dark green vegetables 25.7kcal; beans and peas; 151.9kcal; whole grains 299.4kcal; refined Cereals 276.2kcal; meat and eggs 269.9kcal; seafood 116.8kcal; nut seed soybeans 67.6kcal; edible oil 264.8kcal; dairy products 167.8kcal. Further combining the energy density of each specific food, in a specific embodiment, the first food combination can be randomly obtained, as shown in Table 5. The above is the first food combination randomly selected when the first recommended amount is 2000kcal/day, and when the first recommended amount is other values, other preliminary first food combinations can be determined according to Table 2 above in specific application scenarios. Food combination.

It should be noted that there are many kinds of nutrients required in this embodiment; the second recommended amount of required nutrients includes the third recommended amount respectively corresponding to different required nutrients. That is to say, the second recommended amount involved in this embodiment includes the third recommended amount corresponding to each specific nutrient. In a specific application scenario, combining Table 2 and Table 4 above, it can be seen that the first recommended amount is In the case of 2000kcal/day, the second recommended amount includes the third recommended amount of each specific nutrient, for example, protein is 89g; carbohydrate is 259g; fiber food is 31g and so on.

The random search method is simple and easy to implement; the heuristic search method is relatively random search scheme, in the case of food types, nutrient quantities, and specific foods under each food type, it can greatly improve the determination of the target The efficiency of food combinations.

In an optional implementation manner of this embodiment, the second determining unit involved in this embodiment includes:

The first replacement subunit is configured to perform step A, the adjustment step: replace the first food in the first food combination with specific foods in the food information set that belong to the same food category as the first food in the first food combination, and Obtain the score of each adjusted food combination; wherein, the score of the adjusted food combination is obtained according to the comparison result of the nutrient content in each adjusted food combination with the second recommended amount.

Among them, in a specific application scenario, taking the above-mentioned Mediterranean diet as an example, there are 13 types of food in the first food combination of this embodiment. In the first adjustment process, one of the food types is selected as the adjustment object, for example, select The food category of is 13 kinds of fruits, and the food in this fruit category includes one or more specific fruits (such as grapes, bananas, apples, pears, etc.), that is to say, only the first food combination Foods that belong to the fruit category are adjusted, and other types of foods except fruits are not replaced. The specific replacement method is: randomly or in a certain order from the food information set, replace the fruits in the first food combination with specific fruits, such as replacing the grapes in the first food combination with lychees, and combine them at the same time To determine the amount of lychees in the first food combination after the replacement, or to replace the bananas in the first food combination with watermelon, and combine the original food The calories required by the fruit in a food combination, the energy density of the watermelon, and the amount of watermelon in the first food combination after replacement are determined.

In addition, it should be noted that the score of the adjusted food combination is obtained based on the comparison between the nutrient content after each adjustment and the second recommended amount. This means that the content of each nutrient after each adjustment is corresponding to the first recommended amount. Three recommended amounts are compared to obtain the score of each nutrient, and the score of each nutrient is synthesized to obtain the adjusted food combination score.

Among them, it should be noted that the third recommended amount in this embodiment can be a range value or a fixed point value; however, in this embodiment, it is preferably a range value; each nutrient has a corresponding The third recommended amount; based on this, there are many ways to obtain the score of each nutrient by comparing the content of each nutrient after each replacement with the corresponding third recommended amount, such as method (1) Determine after each replacement Whether the content of each nutrient falls within the value range indicated by the corresponding third recommended amount, the nutrient falling within the value range gets the corresponding score, and the nutrient that does not fall within the value range is zero. Method (2) Determine whether the content of each nutrient of the food combination after each replacement falls within the value range indicated by the corresponding third recommended amount, and the nutrients falling into the value range get the corresponding score, and then calculate The ratio between the nutrient content that does not fall into the value range and the corresponding third recommended amount, and the corresponding score is obtained according to the ratio. It should be noted that the above method is only an example to illustrate the method of comparing the third recommended amount of each nutrient content after each adjustment to obtain the score of each nutrient. The same is true for other methods of obtaining scores based on comparison. Within the protection scope of this application.

Taking method (1) as an example, if there are 36 nutrients involved in this example, the adjusted nutrients fall within the value range indicated by the third recommended amount and count 1 point (of course, other scoring systems can also be used) There are 20 nutrients for food, and the nutrients that do not fall into 0 points are 16. Therefore, the sum of the scores of the nutrients after the statistical adjustment is used as the score of the food combination, that is, the score of the food combination is 20 points.

It should be noted that in this application, the content of each nutrient in the first food combination and the adjusted food combination is calculated based on the amount of each specific food in the corresponding food combination and the density of each nutrient of each specific food.

It should be noted that the nutrients and quantities in this application can be selected according to actual conditions, that is, the selection range of nutrients in this application includes but is not limited to those shown in Table 4 above.

The first processing subunit is set to perform step B. Random step: arrange the scores of all food combinations in the previous step A in order, and give corresponding indexes to each food combination in the order of arrangement, and compare the previous step A The scores of all the food combinations in are added to calculate the total, and the total obtained is the random range, a random value is randomly selected within the random range, and the food combination corresponding to the index corresponding to the random value is used as the adjusted Food combination.

It should be noted that the sequential arrangement is preferably arranged in the order of replacement, or arranged according to the score value, or arranged randomly, etc.; all the food combinations in the previous step A refer to before the step B All the food combinations that occurred in the most recent step A, or all the food combinations that occurred in the most recent step A before the step B, except for the first food combination; preferably, the most recent food combination before the step B For all the food combinations that appeared in step A at one time, this preferred solution can further improve the efficiency of obtaining the target food combination.

Wherein, the step B is preferably: normalize the scores of all food combinations in the previous step A, and arrange the normalized results in sequence, and give each food combination in the order of arrangement. The corresponding index is calculated by summing all the normalized results in the current step B to obtain the total number. The total number obtained is the random range, and a random value is randomly selected within the random range. The random value is determined by the random value. The food combination corresponding to the corresponding index is used as the adjusted food group. It should be noted that there are many ways of normalization, including but not limited to normalization according to the sum as a certain number, or normalization according to the maximum number as a certain number, and so on.

Furthermore, in step B, the scores of each food combination in the random step are processed according to the following preferred methods, and then the corresponding steps are executed:

Using the base e of the natural logarithm as the base, and the product of the score of each food combination and the preset value as the index, the score of each food combination after preliminary processing is obtained;

The step B is specifically:

Normalize the scores of all food combinations in the previous step A, and arrange the normalized results in order, and give the corresponding indexes to each food combination in the previous step A in the order of arrangement , The sum of all normalized results in step B of the current time is calculated to obtain the total, and the total obtained is the random range, and a random value is randomly selected within the random range, and the random value corresponding to the random value is The food combination corresponding to the index is used as the adjusted food group.

In a specific application scenario, the normalization process can be: the sum of the calculation results obtained after all food replacements is normalized to 1, and each time the food is replaced according to its index value, and the order of the food is adjusted from Sort in order from 0 to 1; and then a random number R between 0-1, and the food combination corresponding to the index value of R is determined as the adjusted food combination.

The first execution subunit is set to execute step C. The first cycle step: the adjusted food combination obtained in step B in the previous step is used as the first food combination in step A in the next step, and the replacement is performed in the process of executing step A again The food type to which the first food to be replaced belongs is a principle, and Step A to Step B are repeated until the N foods in the first food combination have all been adjusted from Step A to Step B.

In other words, after adjusting a fixed specified type of food, use the adjusted food combination as the object of the next adjustment, and continue to adjust the other types of food in the first food combination until all N types are adjusted. Have been adjusted. For example, after all fruit foods are replaced, it is necessary to adjust other foods in the first food combination, such as seafood foods. The replacement method is the same as the fruit replacement method. For multiple types (fish, shrimp, clams, scallops, etc.), specific seafood foods are sequentially replaced to obtain an adjusted food combination until all types of foods in the first food combination have been replaced.

The second execution subunit is configured to execute step D, and the second loop step: repeat the above steps A to C until a target food combination that meets the preset conditions is obtained.

Preferably, the preset condition includes at least one of the following: the number of repeated executions of step A to step C reaches the preset number of times; or, during the repeated execution of step A to step B, or the repeated execution of steps A to C, X The adjusted first food combination, and the amount of the first sequence nutrient contained in each of the X adjusted first food combinations falls within the range indicated by the second recommended amount; or, repeating step A to step B, or in the process of repeating steps A to C, Y adjusted first food combinations appear, and the scores of the Y adjusted first food combinations all fall within the first preset range.

It should be noted that the above modules can be implemented by software or hardware, and the latter can be implemented by the following methods, but not limited to this: the above modules are all located in the same processor; or, the above modules can be combined in any combination The forms are located in different processors.

Example 4

In this embodiment, a food information display device is also provided, and the device is used to implement the above-mentioned embodiments and preferred implementations. What has been described will not be repeated. As used below, the term "module" may implement a combination of software and/or hardware that performs predetermined functions. Although the devices described in the following embodiments are preferably implemented in software, implementation of hardware or a combination of software and hardware is also possible and conceived.

FIG. 4 is a schematic structural diagram of a food information display device according to an embodiment of the present application. As shown in FIG. 4, the device includes: a third acquiring module 42 configured to acquire the first amount of calories required by the target object per unit time Recommended amount and the second recommended amount of nutrients required; the fourth obtaining module 44, coupled to the third obtaining module 42, is configured to obtain the food information set that matches the first recommended amount and the second recommended amount The target food combination; the display module 46 is coupled to the fourth acquisition module and is configured to display the target food combination to the target terminal.

It should be noted that the food information display device can be applied to a terminal device, which can be a mobile phone, a tablet computer, a laptop computer, and so on.

In addition, since the fourth embodiment is an apparatus embodiment corresponding to the second embodiment. Therefore, the third acquisition module 42 involved in this embodiment can be set to perform the above step S202, the fourth acquisition module 44 can be set to perform the above step S204, and the display module 46 can be set to perform step S206.

Based on this, the first recommended amount of heat required per unit time involved in this embodiment can be obtained according to an anthropometric method in an alternative implementation of this embodiment. Of course, this is only an example for illustration. The way in which the first recommended amount can be obtained is also within the scope of protection of this application. The following takes an anthropometric method as an example to illustrate how to obtain the first recommended amount. The anthropometric method is based on the target object The personal information and estimated exercise intensity are obtained. In addition, the anthropometric method uses 1 day as an example. The specific method is as follows:

The personal information of the target object but not limited to: age, gender, height, weight, estimated exercise intensity; the personal information of the target object may further include characteristic information including but not limited to the current season, hometown, permanent residence, Current location, taste, physical state, price requirements, etc.; the physical state includes, but is not limited to: whether you have chronic diseases such as gout, diabetes, and/or hypertension, that is, in this embodiment, the anthropometric method includes the formula 1 to 3 are not repeated here.

In an optional implementation of this embodiment, there is a preset first relationship between food types and calories; wherein, the first relationship is used to indicate the relationship between different calorie requirements and the calories that different food types should provide. Correspondence. That is to say, through the first relationship, after the first recommended amount of the target object is obtained through the above-mentioned anthropometric method, the calories that should be provided by different food types can be determined. In a specific application scenario, the first relationship may be a preset diet standard, and then the type of food corresponding to the first recommended amount and the required calories can be obtained, where the diet standard includes but is not limited to: Shu Diet, Healthy Vegetarian Diet, Chinese Resident Dietary Guidelines-Diet Pagoda (for example, 2016 edition), Mediterranean diet.

Taking the Mediterranean diet as an example, according to the 200kcal increment, it is divided into 11 calorie categories from 1000-3200kcal, and the formation of the caloric value required for 13 types of food is shown in Table 2 or Table 3.

It can be seen from Table 2 above that the 13 foods corresponding to different calories have corresponding calories; if the unit time is 1 day and the first recommended amount of the target object is 2000kcal according to anthropometric measurements, it can be determined from Table 2. If the calorie intake is 2000kcal, the calorie content corresponding to the 13 foods required is shown in the sixth column of Table 2: Fruits require 267.0 calories, starchy vegetables require 41.7 calories, and so on.

In addition, in an optional implementation of this embodiment, there is a preset second relationship between nutrients and calories; wherein, the second relationship is used to indicate the correspondence between different caloric requirements and the recommended intake of each nutrient relationship. In an alternative implementation of this embodiment, the nutrient content corresponding to different recommended amounts of calories can be shown in Table 4. Of course, Table 4 is only an example. The second relationship for other specific forms is also in this application. Within the scope of protection.

Optionally, the device of this embodiment may further include: a fifth acquisition module configured to acquire food types; wherein the number of food types is N, and N is a positive integer.

It should be noted that the food type N obtained by the first obtaining unit may refer to all existing food types, or may be a part of all food types, such as the 13 food types in Table 2. In other words, the food category can be obtained according to the actual situation.

Optionally, the third acquiring module 44 involved in this embodiment includes: a third determining unit configured to preliminarily determine the first food combination according to the food type and the first recommended amount; and the fourth determining unit configured to initially determine the first food combination. Under the condition that the recommended amount is unchanged, the food in the first food combination and the corresponding food amount are adjusted by heuristic search or random search to determine the target food combination that matches the second recommended amount; where , There are many kinds of nutrients required; the second recommended amount of required nutrients includes the third recommended amount corresponding to the different required nutrients.

For the first food combination determined by the third determining unit, taking Table 2 above as an example, if there are 13 types of food and the determined first recommended amount is 2000kcal/day, each of the first food combinations determined preliminarily The calories that should be provided by such foods are: fruits 267.0kcal; starchy vegetables 41.7kcal; other vegetables 41.2kcal; red orange and purple vegetables 10.0kcal; dark green vegetables 25.7kcal; beans and peas; 151.9kcal; whole grains 99.4kcal; refined Cereals 276.2kcal; meat and eggs 269.9kcal; seafood 116.8kcal; nut seed soybeans 67.6kcal; edible oil 264.8kcal; dairy products 167.8kcal. Further combining the energy density of each specific food, in a specific embodiment, the first food combination can be randomly obtained, as shown in Table 5. The above is the first food combination randomly selected when the first recommended amount is 2000kcal/day, and when the first recommended amount is other values, other preliminary first food combinations can be determined according to Table 2 above in specific application scenarios. Food combination.

It should be noted that there are many kinds of nutrients required in this embodiment; the second recommended amount of required nutrients includes the third recommended amount corresponding to different required nutrients. That is to say, the second recommended amount involved in this embodiment includes the third recommended amount corresponding to each specific nutrient. In a specific application scenario, combining Table 2 and Table 4 above, it can be seen that the first recommended amount is In the case of 2000kcal/day, the second recommended amount includes the third recommended amount of each specific nutrient, for example, protein is 89g; carbohydrate is 259g; fiber food is 31g and so on.

The random search method is simple and easy to implement; the heuristic search method is relatively random search scheme, in the case of food types, nutrient quantities, and specific foods under each food type, it can greatly improve the determination of the target The efficiency of food combinations.

In an optional implementation manner of this embodiment, the fourth determining unit involved in this embodiment includes:

The second replacement subunit is configured to perform step A. The adjustment step: replace the first food in the first food combination with specific foods in the food information set that belong to the same food category as the first food in the first food combination, and Adjust the amount of food to be replaced each time, and get the score of each adjusted food combination; among them, the score of the adjusted food combination is based on the nutrient content of the adjusted food combination and the second recommended amount The comparison result is obtained.

Among them, in a specific application scenario, taking the above-mentioned Mediterranean diet as an example, there are 13 types of food in the first food combination of this embodiment. In the first adjustment process, one of the food types is selected as the adjustment object, for example, select The food category of is 13 kinds of fruits, and the food in this fruit category includes one or more specific fruits (such as grapes, bananas, apples, pears, etc.), that is to say, only the first food combination Foods that belong to the fruit category are adjusted, and other types of foods except fruits are not replaced. The specific replacement method is as follows: randomly or in a certain order from the food information set, replace the fruits in the first food combination with specific fruits, such as replacing the grapes in the first food combination with lychees, and combine them simultaneously To determine the amount of lychees in the first food combination after the replacement, or to replace the bananas in the first food combination with watermelon, and combine the original food The calories required by the fruit in a food combination, the energy density of the watermelon, the amount of watermelon in the first food combination after replacement, and so on are determined.

In addition, it should be noted that the score of the adjusted food combination is obtained based on the comparison between the nutrient content after each adjustment and the second recommended amount. This means that the content of each nutrient after each adjustment is corresponding to the first recommended amount. Three recommended amounts are compared to obtain the score of each nutrient, and the score of each nutrient is synthesized to obtain the adjusted food combination score.

Among them, it should be noted that the third recommended amount in this embodiment can be a range value or a fixed point value; however, in this embodiment, it is preferably a range value; each nutrient has a corresponding The third recommended amount; based on this, there are many ways to obtain the score of each nutrient by comparing the content of each nutrient after each replacement with the corresponding third recommended amount, such as method (1) Determine after each replacement Whether the content of each nutrient falls within the value range indicated by the corresponding third recommended amount, the nutrient falling within the value range gets the corresponding score, and the nutrient that does not fall within the value range is zero. Method (2) Determine whether the content of each nutrient of the food combination after each replacement falls within the value range indicated by the corresponding third recommended amount, and the nutrients falling into the value range get the corresponding score, and then calculate The ratio between the nutrient content that does not fall into the value range and the corresponding third recommended amount, and the corresponding score is obtained according to the ratio. It should be noted that the above method is only an example to illustrate the method of comparing the third recommended amount of each nutrient content after each adjustment to obtain the score of each nutrient. The same is true for other methods of obtaining scores based on comparison. Within the protection scope of this application.

Taking method (1) as an example, if there are 36 nutrients involved in this example, the adjusted nutrients fall within the value range indicated by the third recommended amount and count 1 point (of course, other scoring systems can also be used) There are 20 nutrients for food, and the nutrients that do not fall into 0 points are 16. Therefore, the sum of the scores of the nutrients after the statistical adjustment is used as the score of the food combination, that is, the score of the food combination is 20 points.

The second processing sub-unit is set to perform step B. Random step: arrange the scores of all food combinations in the previous step A in order, and give corresponding indexes to each food combination in the order of arrangement, and compare the previous step The scores of all food combinations in A are summed to calculate the total, and the total obtained is a random range, a random value is randomly selected within the random range, and the food combination corresponding to the index corresponding to the random value is used as an adjustment After the food mix.

It should be noted that the sequential arrangement is preferably arranged in the order of replacement, or arranged according to the score value, or arranged randomly, etc.; all the food combinations in the previous step A refer to before the step B All the food combinations that occurred in the most recent step A, or all the food combinations that occurred in the most recent step A before the step B, except for the first food combination; preferably, the most recent food combination before the step B For all the food combinations that appeared in step A at one time, this preferred solution can further improve the efficiency of obtaining the target food combination.

Wherein, the step B is preferably: normalize the scores of all food combinations in the previous step A, and arrange the normalized results in sequence, and give each food combination in the order of arrangement. The corresponding index is calculated by summing all the normalized results in the current step B to obtain the total number. The total number obtained is the random range, and a random value is randomly selected within the random range. The random value is determined by the random value. The food combination corresponding to the corresponding index is used as the adjusted food group. It should be noted that there are many ways of normalization, including but not limited to normalization according to the sum as a certain number, or normalization according to the maximum number as a certain number, and so on.

Furthermore, in step B, the scores of each food combination in the random step are processed according to the following preferred methods, and then the corresponding steps are executed:

Using the base e of the natural logarithm as the base, and the product of the score of each food combination and the preset value as the index, the score of each food combination after preliminary processing is obtained;

The step B is specifically:

Normalize the scores of all food combinations in the previous step A, and arrange the normalized results in order, and give the corresponding indexes to each food combination in the previous step A in the order of arrangement , The sum of all normalized results in step B of the current time is calculated to obtain the total, and the total obtained is the random range, and a random value is randomly selected within the random range, and the random value corresponding to the random value is The food combination corresponding to the index is used as the adjusted food group.

In a specific application scenario, the normalization process can be: the sum of the calculation results obtained after all food replacements is normalized to 1, and each time the food is replaced according to its index value, and the order of the food is adjusted from Sort in order from 0 to 1; and then a random number R between 0-1, and the food combination corresponding to the index value of R is determined as the adjusted food combination.

The third execution subunit is set to execute step C. The first cycle step: the adjusted food combination obtained in step B in the previous step is used as the first food combination in step A in the next step, and the replacement is performed in the process of executing step A again The food type to which the first food to be replaced belongs is a principle, and Step A to Step B are repeated until the N foods in the first food combination have all been adjusted from Step A to Step B.

In other words, after adjusting a fixed specified type of food, use the adjusted food combination as the object of the next adjustment, and continue to adjust the other types of food in the first food combination until all N types are adjusted. Have been adjusted. For example, after all fruit foods are replaced, it is necessary to adjust other foods in the first food combination, such as seafood foods. The replacement method is the same as the fruit replacement method. For multiple types (fish, shrimp, clams, scallops, etc.), specific seafood foods are sequentially replaced to obtain an adjusted food combination until all types of foods in the first food combination have been replaced.

The fourth execution subunit is set to execute step D, and the second loop step: repeat the above steps A to C until a target food combination that meets the preset conditions is obtained.

Preferably, the preset condition includes at least one of the following: the number of repeated executions of step A to step C reaches a preset number of times; or, during the repeated execution of step A to step B, or the repeated execution of steps A to C, X The adjusted first food combination, and the amount of the first sequence nutrient contained in each of the X adjusted first food combinations falls within the range indicated by the second recommended amount; or, repeating step A to step B, or in the process of repeating steps A to C, Y adjusted first food combinations appear, and the scores of the Y adjusted first food combinations all fall within the first preset range.

It should be noted that the above modules can be implemented by software or hardware, and the latter can be implemented by the following methods, but not limited to this: the above modules are all located in the same processor; or, the above modules can be combined in any combination The forms are located in different processors.

Example 5

The embodiment of the present application also provides a storage medium in which a computer program is stored, wherein the computer program is configured to execute the steps in any one of the foregoing food information pushing method embodiments when running.

Optionally, in this embodiment, the above storage medium may be set to store a computer program for performing the following steps:

S1, obtaining the first recommended amount of calories required by the target object per unit time and the second recommended amount of nutrients required by the target object;

S2: Determine a target food combination matching the first recommended amount and the second recommended amount according to a predetermined food information set;

S3, push the target food combination to the target terminal.

Optionally, in this embodiment, the above storage medium may include, but is not limited to: a USB flash drive, a read-only memory (Read-Only Memory, ROM for short), a random access memory (Random Access Memory, RAM for short), Various media that can store computer programs, such as removable hard disks, magnetic disks, or optical disks.

The embodiment of the present application also provides a storage medium in which a computer program is stored, wherein the computer program is configured to execute the steps in any one of the foregoing food information display method embodiments when running.

Optionally, in this embodiment, the above storage medium may be set to store a computer program for performing the following steps:

S1, obtaining the first recommended amount of calories required by the target object per unit time and the second recommended amount of nutrients required by the target object;

S2: Obtain a target food combination that matches the first recommended amount and the second recommended amount determined in the food information collection;

S3: Display the target food combination to the target terminal.

Optionally, in this embodiment, the above storage medium may include, but is not limited to: a USB flash drive, a read-only memory (Read-Only Memory, ROM for short), a random access memory (Random Access Memory, RAM for short), Various media that can store computer programs, such as removable hard disks, magnetic disks, or optical disks.

Optionally, for specific examples in this embodiment, reference may be made to the examples described in the foregoing embodiments and optional implementation manners, and details are not repeated in this embodiment.

Obviously, those skilled in the art should understand that the above-mentioned modules or steps of this application can be implemented by a general-purpose computing device, and they can be concentrated on a single computing device or distributed in a network composed of multiple computing devices Above, optionally, they can be implemented with program code executable by the computing device, so that they can be stored in the storage device to be executed by the computing device, and in some cases, can be in a different order than here The steps shown or described are performed, or they are made into individual integrated circuit modules respectively, or multiple modules or steps among them are made into a single integrated circuit module for implementation. In this way, the application is not limited to any specific combination of hardware and software.

The above are only the preferred embodiments of the present application, and are not used to limit the present application. For those skilled in the art, the present application may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the principles of this application shall be included in the scope of protection of this application.

Industrial applicability

Through this application, the first recommended amount of calories required by the target object per unit time and the second recommended amount of nutrients needed are obtained, and then the first recommended amount and the second recommended amount are determined according to the predetermined food information set Match the target food combination, and push the target food combination to the target terminal, that is, the pushed target food combination is obtained according to the first recommended amount of calories and the second recommended amount of nutrients, so that it can push more for the target object Reasonable food combination, rather than choosing the corresponding food according to personal preference, solves the problem that related technologies fail to take into account the intake of calories and nutrients at the same time to consider food matching, and achieves the effect of making the user's diet more reasonable.

Claims (15)

A method for pushing food information, including: Obtain the first recommended amount of calories required by the target object per unit time and the second recommended amount of nutrients required by the target object; Determining a target food combination matching the first recommended amount and the second recommended amount in the food information collection; Push the target food combination to the target terminal. The method according to claim 1, further comprising: Obtain food types; wherein the number of the food types is N, and N is a positive integer; The target food combination that matches the first recommended amount and the second recommended amount determined in the food information collection includes: Preliminarily determining a first food combination according to the food type and the first recommended amount; Under the circumstance that the first recommendation quantity remains unchanged, the food and the corresponding food quantity in the first food combination are adjusted by heuristic search or random search, so as to determine the difference between the food and the second recommendation The target food combination with matching amount; Among them, there are many kinds of nutrients required; the second recommended amount of required nutrients includes the third recommended amount respectively corresponding to different required nutrients. According to the method of claim 2, There is a preset first relationship between the food types and the calories; wherein the first relationship is used to indicate the correspondence between different calorie requirements and the calories that different food types should provide; There is a preset second relationship between the nutrients and the calories; wherein, the second relationship is used to indicate the corresponding relationship between different calorie requirements and the recommended intake of each nutrient. The method according to claim 2, under the condition that the first recommended amount remains unchanged, the food in the first food combination and the corresponding amount of food are adjusted by a heuristic search method to determine the The target food combination matched by the second recommended amount includes: Step A, adjustment step: replace the first food in the first food combination with foods in the food information set that belong to the same food category as the first food in the first food combination, and adjust each replacement The amount of food, the score of each adjusted food combination is obtained; wherein the score of the adjusted food combination is based on the comparison of the nutrient content in each adjusted food combination with the second recommended amount The result Step B, random step: arrange the scores of all food combinations in the previous step A in order, and give corresponding indexes to each food combination in the order of arrangement, and perform the scores of all the food combinations in the previous step A Sum and calculate the total number, take the total number obtained as a random range, randomly generate a random value within the random range, and use the food combination corresponding to the index corresponding to the random value as the adjusted food combination; Step C, the first cycle step: the adjusted food combination obtained in the previous step B is used as the first food combination of the next step A, and the first food that is replaced in the process of performing step A again is replaced Food types are the principle, repeat the steps A to B until the N foods in the first food combination have all performed the adjustments in the steps A to B; Step D, the second loop step: repeat the above steps A to C until a target food combination that meets the preset conditions is obtained; Preferably, the preset condition includes at least one of the following: the number of times of repeating step A to step C reaches a preset number of times; or, In the process of repeating steps A to B, or repeating steps A to C, X adjusted first food combinations appear, and each of the X adjusted first food combinations contains the first The amounts of sequential nutrients all fall within the range indicated by the second recommended amount; or, In the process of repeating steps A to B, or repeating steps A to C, Y adjusted first food combinations appear, and the scores of the Y adjusted first food combinations all fall into The first preset range. The method according to claim 4, wherein the score of the adjusted food combination is obtained based on the comparison result of the nutrient content after each adjustment and the second recommended amount, which means: combining each adjusted food The content of each nutrient contained in the corresponding third recommended amount is compared to obtain the score of each nutrient, and the score of each nutrient is synthesized to obtain the score of the adjusted food combination. According to the method according to claim 4, the scores of each food combination in step B and the random step are respectively processed as follows before performing the corresponding steps: Using the base e of the natural logarithm as the base, and the product of the score of each food combination and the preset value as the index, the score of each food combination after preliminary processing is obtained; The step B is specifically: Normalize the scores of all the food combinations after the preliminary treatment in the previous step A, and arrange the normalized results in sequence, and give the food combinations in the previous step A in the order of arrangement Corresponding index, the sum of all normalized results in step B of the current time is calculated to obtain the total, and the total obtained is the random range, and a random value is randomly selected within the random range. The food combination corresponding to the corresponding index is used as the adjusted food group. The method according to any one of claims 1 to 6, the method further comprising: The target food combination is displayed to the target terminal. A device for pushing food information, including: The first obtaining module is configured to obtain the first recommended amount of calories required by the target object per unit time and the second recommended amount of required nutrients; A determining module, configured to determine a target food combination matching the first recommended amount and the second recommended amount in the food information collection; The pushing module is configured to push the target food combination to the target terminal. The device according to claim 8, further comprising: The second acquisition module is configured to acquire food types; wherein the number of the food types is N, and N is a positive integer; The determination module includes: A first determining unit configured to preliminarily determine a first food combination according to the food type and the first recommended amount; The second determining unit is configured to adjust the food and the corresponding amount of food in the first food combination through a heuristic search method or a random search method under the condition that the first recommended amount remains unchanged, to determine Out the target food combination that matches the second recommended amount; Among them, there are many kinds of nutrients required; the second recommended amount of required nutrients includes the third recommended amount respectively corresponding to different required nutrients. The device according to claim 9, There is a preset first relationship between the food types and the calories; wherein the first relationship is used to indicate the correspondence between different calorie requirements and the calories that different food types should provide; There is a preset second relationship between the nutrients and the calories; wherein, the second relationship is used to indicate the corresponding relationship between different calorie requirements and the recommended intake of each nutrient. The device according to claim 9, wherein the second determining unit comprises: The first replacement subunit is configured to perform step A. The adjustment step: replace the first food in the first food combination with specific foods in the food information set that belong to the same food category as the first food in the first food combination. One food, and adjust the amount of food replaced each time to obtain the score of each adjusted food combination; wherein the score of the adjusted food combination is based on the nutrients in the adjusted food combination each time The content is obtained from the comparison result of the second recommended amount; The first processing subunit is set to perform step B. Random step: arrange the scores of all food combinations in the previous step A in order, and give corresponding indexes to each food combination in the order of arrangement, and compare the previous step A The scores of all the food combinations in are added to calculate the total, and the total obtained is the random range, a random value is randomly selected within the random range, and the food combination corresponding to the index corresponding to the random value is used as the adjusted Food mix The first execution subunit is set to execute step C. The first cycle step: the adjusted food combination obtained in step B in the previous step is used as the first food combination in step A in the next step, and the replacement is performed in the process of executing step A again The food type to which the first food is replaced is a principle, and the steps A to B are repeated until the N types of foods in the first food combination have all performed the adjustments from step A to step B ； The second execution subunit is configured to execute step D, and the second loop step: repeat the above steps A to C until a target food combination that meets the preset conditions is obtained; Preferably, the preset condition includes at least one of the following: the number of times of repeating step A to step C reaches a preset number of times; or, In the process of repeating steps A to B, or repeating steps A to C, X adjusted first food combinations appear, and each of the X adjusted first food combinations contains the first The amounts of sequential nutrients all fall within the range indicated by the second recommended amount; or, In the process of repeating steps A to B, or repeating steps A to C, Y adjusted first food combinations appear, and the scores of the Y adjusted first food combinations all fall into The first preset range. The device according to claim 11, wherein the score of the adjusted food combination is obtained based on the comparison result of the nutrient content after each adjustment and the second recommended amount, which means: combining each adjusted food The content of each nutrient contained in the corresponding third recommended amount is compared to obtain the score of each nutrient, and the score of each nutrient is synthesized to obtain the score of the adjusted food combination. The device according to claim 11, The first processing sub-unit is also configured to process the scores of each food combination in step B and random steps in the following manner before executing the corresponding steps: Using the base e of the natural logarithm as the base, and the product of the score of each food combination and the preset value as the index, the score of each food combination after preliminary processing is obtained; The step B is specifically: Normalize the scores of all the food combinations after the preliminary treatment in the previous step A, and arrange the results after the normalization in order, and separate the food combinations in the previous step A in the order of arrangement Given the corresponding index, sum up all the normalized results in step B of the current time to calculate the total number, and use the total number as a random range, and randomly select a random value within the random range. The food combination corresponding to the index corresponding to the value is used as the adjusted food group. The device according to any one of claims 8 to 13, the device further comprising: The display module is configured to display the target food combination to the target terminal. A storage medium, wherein a computer program is stored in the storage medium, and the computer program is configured to execute the method described in any one of claims 1 to 7 when the computer program is run.

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