CN110335410A - Vending machine replenishment method, device and computer equipment based on big data - Google Patents

Abstract

This application provides a vending machine replenishment method, device, computer equipment and readable storage medium based on big data. Whether to complete the transaction; if the transaction is completed, obtain the current product information and location information respectively; judge whether to set the preset time period; if the preset time period is set, then judge whether the current moment is included in the preset time period; Within the set time period, the number of hot-selling products corresponding to each preset product name is respectively retrieved; respectively, whether the current number of products is greater than the corresponding number of hot-selling products is judged; if not, the first replenishment is formulated according to the preset rules information. This application monitors the transaction status of vending machines in real time, and dynamically adjusts the replenishment information corresponding to each vending machine according to the big data of commodity transactions of each vending machine, so as to realize the intelligent prediction of the replenishment trend of vending machines by remote terminals.

Description

Vending machine replenishment method, device and computer equipment based on big data

technical field

The present application relates to the technical field of data analysis, in particular to a method, device and computer equipment for vending machine replenishment based on big data.

Background technique

More and more vending machines have entered people's lives, and it is becoming more and more important for the commodity distribution management of vending machines. The supplier of the goods needs to replenish the goods in the automatic vending device. At present, the replenishment method usually adopted is that the special replenishment personnel arranged by the supplier regularly check the automatic vending device and find that there is a need Where the goods are replenished, carry the corresponding goods for supplementation. This replenishment method is too troublesome and not efficient. Therefore, how to generate corresponding replenishment information at the remote terminal according to the sales trend of the automatic vending machine is a technical problem that needs to be solved at this stage.

Contents of the invention

The main purpose of this application is to provide a vending machine replenishment method, device and computer equipment based on big data, aiming to solve the problem that existing vending machines cannot generate corresponding replenishment at the remote terminal according to the sales trend of the vending machine The evils of information.

In order to achieve the above purpose, the present application provides a method for replenishing vending machines based on big data, which is applied to a vending platform, and the vending platform is connected to a plurality of vending machines through wireless signals, and each of the vending machines is respectively set in In different regions, the sales platform records the location information corresponding to each of the vending machines, including:

receiving a transaction completion signal uploaded by each of the vending machines;

Respectively acquire the remaining commodity information and location information in the vending machines where each transaction is completed, the commodity information includes multiple commodity names and the quantity of commodities corresponding to each of the commodity names;

Judging whether to set a hot-selling time period for the vending machine that completed the transaction, the hot-selling time period is a preset time period when the unit time sales volume of the vending machine is greater than the first threshold;

If there is a hot sale time period of the commodity, it is judged whether the current moment is included in the hot sale time period of the commodity;

If it is included in the hot sale time period of the commodity, obtain a plurality of hot sales volumes of the commodity per unit time corresponding to each commodity name of the vending machine that completed the transaction before the current time, wherein the commodity per unit time Hot sales volume refers to the sales volume per unit time of the commodity in the vending machine during the hot-selling period of the commodity;

According to the hot sales volume of each commodity per unit time, the average commodity hot sales per unit time is calculated, and the average commodity best sales per unit time is set as the first replenishment threshold corresponding to each commodity name, and the first The replenishment threshold is the minimum value that needs to be replenished during the hot sale period of the commodities in the vending machine;

Screen out the first replenishment commodity whose quantity is smaller than the corresponding first replenishment threshold, and send the first replenishment information according to the preset rules, and the first replenishment information is used to prompt the replenishment of the commodity to be replenished For replenishment, the first replenishment information includes the identification information of the commodity to be replenished, the location information of the vending machine corresponding to the commodity to be replenished, and the quantity of the commodity to be replenished.

Further, before the step of judging whether to set a hot sale time period for the vending machine that completed the transaction, it includes:

Acquiring a plurality of first sales volumes per unit time of each of the vending machines according to a first preset frequency, the first sales volume per unit time being the total sales volume of the vending machines within a unit time period;

Comparing each of the first sales volumes per unit time with the first threshold, and selecting the unit time period corresponding to the first sales volume per unit time greater than the first threshold as the commodity best-selling time period.

Further, after the step of judging whether to set a hot sale time period for the vending machine that completed the transaction, it includes:

If no commodity hot sale time period is set, the second replenishment threshold corresponding to each commodity name is called respectively;

Screening out the second commodities to be replenished whose quantity is smaller than the corresponding second replenishment threshold, and sending the second replenishment information according to the preset rule.

Further, the step of screening out the first commodities to be replenished whose quantity is smaller than the corresponding first replenishment threshold, and sending the first replenishment information according to preset rules includes:

Comparing the quantity of each of the commodities with the corresponding first replenishment threshold, and selecting the commodity whose quantity is smaller than the corresponding first replenishment threshold as the first commodity name to be replenished;

Retrieving the preset commodity quantity corresponding to the first commodity name to be replenished, the preset commodity quantity is the upper limit quantity of commodities corresponding to the first commodity name to be replenished in the vending machine;

Calculating the difference between the preset commodity quantity and the commodity quantity corresponding to the first commodity name to be replenished, and selecting the difference as the first replenishment commodity quantity;

generating the first replenishment information according to the name of the first commodity to be replenished and the quantity of the first replenishment commodity;

Sending the first replenishment information to the terminal of the replenishment personnel corresponding to the location information.

Further, before the step of receiving the signal of completion of the transaction uploaded by each vending machine in real time, it includes:

updating the sales information of each of the vending machines according to a second preset frequency, the sales information including at least one sold commodity name, the sales quantity corresponding to each of the sold commodity names, and the total sales volume;

Calculating the proportion of each sales volume in the total sales volume;

According to the total capacity of the vending machine and the ratio, the preset commodity quantity of the commodity corresponding to each ratio in the vending machine is calculated.

Further, the total sales volume is composed of a plurality of second unit time sales volumes, after the step of updating the sales information of each vending machine according to the second preset frequency, it includes:

Comparing each of the sales volume per unit time with a second threshold, and selecting a unit time period corresponding to the second sales volume per unit time that is smaller than the second threshold, as the sleep time period of the vending machine, the The sleep time period is correspondingly associated with the location information of the vending machine, and the sleep time period is a time period when the vending machine enters a sleep state.

Further, the step of sending the first replenishment information to the terminal of the replenishment personnel corresponding to the location information includes:

Screening the first replenishment information of each of the vending machines belonging to the same area according to the location information;

Sending the first replenishment information of each of the vending machines in the same area to the terminal of the corresponding replenishment personnel.

The application also provides a vending machine replenishment device based on big data, including:

The receiving module is used to receive the signal of the completion of the transaction uploaded by each vending machine;

The first obtaining module is used to separately obtain the remaining product information and location information in the vending machines where each transaction is completed;

The first judging module is used to judge whether to set a hot sale time period for the vending machine that completed the transaction;

The second judging module is used for judging whether the current moment is included in the hot sale time period of the commodity;

The second acquiring module is used to acquire a plurality of commodity hot sales per unit time corresponding to each commodity name of the vending machine that has completed the transaction before the current time;

A setting module, configured to calculate the average best-selling commodity per unit time according to the hot sales volume of each commodity per unit time, and set the average best-selling commodity per unit time as the first replenishment threshold corresponding to each commodity name ;

The first sending module is configured to filter out the first commodities to be replenished whose quantity is smaller than the corresponding first replenishment threshold, and send the first replenishment information according to preset rules.

Further, the replenishment device also includes:

A third acquisition module, configured to acquire a plurality of first unit time sales volumes of each of the vending machines according to a first preset frequency;

The first selection module is configured to respectively compare each of the first unit-time sales volumes with the first threshold, and select the unit time period corresponding to the first unit-time sales volume greater than the first threshold as the unit time period. The hot selling time period of the above-mentioned commodities.

Further, the replenishment device also includes:

The second retrieval module is used to respectively retrieve the second replenishment thresholds corresponding to the commodity names;

The second sending module is configured to screen out the second commodities to be replenished whose quantity is smaller than the corresponding second replenishment threshold, and send the second replenishment information according to the preset rule.

Further, the first sending module includes:

The selection unit is used to compare the quantity of each commodity with the corresponding first replenishment threshold, and select the commodity whose quantity is smaller than the corresponding first replenishment threshold as the first commodity name to be replenished;

A calling unit, configured to call the preset quantity of goods corresponding to the name of the first commodity to be replenished;

A calculation unit, configured to calculate the difference between the preset commodity quantity and the commodity quantity corresponding to the first commodity name to be replenished, and select the difference as the first replenishment commodity quantity;

A generating unit, configured to generate the first replenishment information according to the name of the first commodity to be replenished and the quantity of the first replenishment commodity;

A sending unit, configured to send the first replenishment information to the terminal of the replenishment personnel corresponding to the location information.

Further, the replenishment device also includes:

An update module, configured to update the vending information of each vending machine according to a second preset frequency;

The first calculation module is used to separately calculate the proportion of each sales volume in the total sales volume;

The second calculation module is configured to calculate the preset quantity of commodities corresponding to each proportion in the vending machine according to the total capacity of the vending machine and the proportion.

Further, the replenishment device also includes:

The second selection module is configured to respectively compare each of the second unit time sales volume with a second threshold, and select a unit time period corresponding to the second unit time sales volume smaller than the second threshold value as a vending machine sleep period.

Further, the sending unit includes:

A screening subunit, configured to screen the first replenishment information of each of the vending machines belonging to the same area according to the location information;

The sending subunit is configured to send the first replenishment information of each of the vending machines in the same area to the terminal of the corresponding replenishment personnel.

The present application also provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of any one of the methods described above when executing the computer program.

The present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of any one of the methods described above are implemented.

The big data-based vending machine replenishment method, device and computer equipment provided in this application monitor the transaction status of the vending machines in real time and dynamically adjust the corresponding The replenishment time, replenishment quantity and replenishment products can be realized, and the remote terminal intelligently predicts the replenishment trend of the vending machine.

Description of drawings

Fig. 1 is a schematic diagram of steps of a vending machine replenishment method based on big data in an embodiment of the present application;

Fig. 2 is a block diagram of the overall structure of a vending machine replenishment device based on big data in an embodiment of the present application;

Fig. 3 is a schematic block diagram of a computer device according to an embodiment of the present application.

The realization, functional features and advantages of the present application will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

Referring to FIG. 1 , an embodiment of the present application provides a big data-based vending machine replenishment method, which is applied to a vending platform, and the vending platform is connected to a plurality of vending machines through a wireless network, and each of the vending machines Set in different areas respectively, the vending platform records the position information corresponding to each of the vending machines, including:

S1: Receive the signal of the completion of the transaction uploaded by each vending machine;

S2: Respectively acquire remaining product information and location information in each vending machine, where the product information includes a plurality of product names and the quantity of products corresponding to each of the product names;

S3: Judging whether to set a hot-selling time period for the vending machine that completed the transaction, the hot-selling time period is a preset time period when the unit time sales volume of the vending machine is greater than the first threshold;

S4: If there is a hot-selling time period of the commodity, determine whether the current moment is included in the hot-selling time period of the commodity;

S5: If it is included in the hot sale time period of the commodity, obtain a plurality of hot sales volumes of the commodity corresponding to each of the commodity names before the current time of the vending machine that completed the transaction, wherein the unit Time commodity hot sales volume refers to the sales volume per unit time of the commodity in the vending machine during the commodity hot sales period;

S6: Calculate the average best-selling commodity per unit time according to the hot sales volume of each commodity per unit time, and set the average best-selling commodity per unit time as the first replenishment threshold corresponding to each commodity name, the The first replenishment threshold is the minimum value that needs to be replenished during the time period when the commodities in the vending machine are hot;

S7: Screen out the first commodity to be replenished whose quantity is smaller than the corresponding first replenishment threshold, and send the first replenishment information according to the preset rules, and the first replenishment information is used to remind the to-be-replenishment The commodity is replenished, and the first replenishment information includes the identification information of the commodity to be replenished, the location information of the vending machine corresponding to the commodity to be replenished, and the quantity of the commodity to be replenished.

In this embodiment, the vending platform is a direct sales service platform for vending machines, which is used to record commodity information and location information of each vending machine and realize automatic vending services for vending machines. The vending platform is connected with each vending machine through wireless signals. Among them, each vending machine is located in different areas. When using the automatic vending function of the vending machine, the user first scans the static code that comes with the vending machine through the mobile terminal, then enters the amount, and selects the payment bank. Among them, payment banks include major state-owned banks and small and medium-sized banks. After the user selects the payment bank, the vending machine sends the payment information to the vending platform. The payment information includes the payment amount, the name of the product to be purchased, and the quantity to be purchased. After the vending platform completes the deduction, it sends an instruction to the vending machine, allowing the user to take out the corresponding product. At the same time, the vending platform updates the current commodity information corresponding to the vending machine according to the commodity name and the purchase quantity. The vending platform receives the transaction completion signal uploaded by each vending machine in real time or at regular intervals. If the transaction is completed, the vending platform obtains the remaining commodity information and location information of each vending machine that has completed the transaction. Wherein, the commodity information includes commodity names of all commodities currently remaining in the vending machine and commodity quantities corresponding to each commodity name. According to the sales volume in each region, the vending platform sets a commodity hot-selling time period for the vending machine. The commodity hot-selling time period is a preset time period when the sales volume of the vending machine per unit time is greater than the first threshold. The vending platform can associate the hot selling time of the commodity with the location information of the vending machine, wherein the location information of the vending machine serves as an identification and is used for the association identification between the vending platform and the vending machine. Therefore, the vending platform can directly inquire whether there is a best-selling time period associated with the vending machine based on the location information of the vending machine that completed the transaction, so as to directly determine whether the vending machine is set with a best-selling time period. If the vending machine that completes the transaction is set with a hot commodity time zone, the vending platform acquires the current time and judges whether the current moment is included in the commodity hot sales time zone. For example, the best-selling time period of a product is 12:00-13:00, and the current time is 12:45, then the sales platform determines that the current time is included in the best-selling time period of the product. At this time, the vending platform separately obtains the hot sales volume of the vending machine corresponding to each product name before the current time. The goods platform retrieves the sales volume corresponding to the unit time of each product in the hot-selling time period in the week before the current time, that is, obtains the detailed data of the hot sales volume of each product with a total of 7 products per unit time. The sales platform calculates the total sales volume of each product corresponding to each product in the week before the current time based on the hot sales volume of each unit time, and then calculates Obtain the average sales volume of commodities per unit time. According to this calculation rule, the ticketing platform calculates the average best-selling commodity per unit time corresponding to each commodity name, and sets the average best-selling commodity per unit time as the first replenishment threshold corresponding to each commodity name. Wherein, the first replenishment threshold is the minimum value that triggers the replenishment function within the time period for the vending machine that is set with a hot-selling commodity period. For example, the first replenishment threshold is 50, and when the current commodity quantity of the product is 40, which is less than the first replenishment threshold, the replenishment function is triggered. The vending platform respectively judges whether the quantity of each commodity is greater than the corresponding first replenishment threshold according to the preset commodity name of the commodity. The sales platform compares the quantity of each commodity with the corresponding first replenishment threshold, and selects the commodity name corresponding to the commodity quantity smaller than the first replenishment threshold as the first commodity name to be replenished. Then the preset commodity quantity corresponding to the first commodity name to be replenished is called. Wherein, the preset commodity quantity is the upper limit quantity of the commodity corresponding to the first commodity name to be replenished in the vending machine. The sales platform calculates the difference between the preset commodity quantity and the commodity quantity corresponding to the first replenishment commodity name, and selects the difference as the first replenishment commodity quantity. Finally, according to the name of the first product to be replenished and the quantity of the first replenishment product, the first replenishment information is generated, and the first replenishment information is sent to the location information corresponding to the vending machine that completed the transaction. A terminal for replenishment personnel.

Further, before the step of judging whether to set a hot sale time period for the vending machine that completed the transaction, it includes:

S8: Obtain a plurality of first sales volumes per unit time of each of the vending machines according to a first preset frequency, where the first sales volume per unit time is the total sales volume of the vending machines within a unit time period;

S9: Comparing each of the first unit-time sales volumes with the first threshold, and selecting the unit time period corresponding to the first unit-time sales volume greater than the first threshold as the commodity hot sales time part.

In this embodiment, the vending platform acquires a plurality of first unit time sales quantities corresponding to each vending machine according to a first preset frequency. Wherein, the first unit time sales volume is the total sales volume of the vending machine per unit time. For example, in every day, the total number of sales of No. 1 vending machine at 8-9 o'clock; the total number of sales of No. 1 vending machine at 9-10 o'clock. The sales platform retrieves the first threshold, and compares the sales volume of each first unit time with the first threshold, and screens out the part of the first unit time sales that are greater than the first threshold from the sales volume of each first unit time. quantity. The sales platform sets the unit time period corresponding to the part of the first unit time sales volume as the commodity best-selling time period. For example, the first threshold is 100, the sales volume of No. 1 vending machine is 50 per unit time from 8 to 9 o'clock, and the sales volume is 120 per unit time from 9 to 10 o'clock, then the vending platform sets No. 1 vending machine The hot selling time period for cargo aircraft is . Further, the goods receiving platform associates the best-selling time period of the product with the location information of the vending machine, for example, associates the best-selling time period of the product at 9-10 o'clock with the location information of the No. 1 vending machine.

Further, after the step of judging whether to set a hot sale time period for the vending machine that completed the transaction, it includes:

S10: If no commodity hot-selling time period is set, respectively call the second replenishment threshold corresponding to each of the preset commodity names;

S11: Screen out the second pending commodities whose quantity is smaller than the corresponding second replenishment threshold, and send the second replenishment information according to the preset rule.

In this embodiment, the vending platform can directly inquire whether there is a hot-selling time period associated with the vending machine based on the location information of the vending machine that completed the transaction, so as to directly determine whether the vending machine is set with a hot-selling time period. If the vending machine is not set with a time period for the hot sale of commodities, it means that the vending machine does not have a time period for the hot sale of commodities, and its sales speed is gentle, and the situation that the commodities will not be sold out in a short time will not occur. The sales platform retrieves the second replenishment threshold corresponding to each commodity name. Wherein, the second replenishment threshold is the minimum value that the commodity needs to be replenished when the vending machine is not currently in a commodity hot sale time period or is not set in a commodity hot sale time period. For example, the normal product quantity of product A is 30, and the normal product quantity of product B is 20. The sales platform sets different second replenishment thresholds according to the historical sales records of each product. The sales platform respectively compares the quantity of each commodity with the second replenishment threshold, and selects the commodity name corresponding to the commodity quantity smaller than the second replenishment threshold as the name of the second commodity to be replenished. Then, the preset commodity quantity corresponding to the second commodity name to be replenished is retrieved. Wherein, the preset quantity of commodities is the upper limit quantity of commodities corresponding to the name of the second commodity to be replenished in the vending machine. The sales platform calculates the difference between the preset commodity quantity and the commodity quantity corresponding to the second commodity name to be replenished, and selects the difference as the second replenishment commodity quantity. Finally, the second replenishment information is generated according to the name of the second commodity to be replenished and the quantity of the second replenishment commodity, and the second replenishment information is sent to the terminal of the corresponding replenishment personnel.

Further, if there are multiple second commodity names to be replenished, the after-sales platform finally classifies each second commodity name to be replenished and the quantity of the second replenishment commodity corresponding to each second commodity name to be replenished according to commodity types , to generate the second replenishment information.

Further, the step of screening out the first commodities to be replenished whose quantity is smaller than the corresponding first replenishment threshold, and sending the first replenishment information according to preset rules includes:

S701: Comparing the quantity of each commodity with the corresponding first replenishment threshold, and selecting the name of the commodity whose quantity is smaller than the corresponding first replenishment threshold as the name of the first commodity to be replenished;

S702: Retrieve the preset commodity quantity corresponding to the first commodity name to be replenished, where the preset commodity quantity is the upper limit quantity of commodities corresponding to the first commodity name to be replenished in the vending machine;

S703: Calculating the difference between the preset commodity quantity and the commodity quantity corresponding to the first commodity name to be replenished, and selecting the difference as the first replenishment commodity quantity;

S704: Generate the first replenishment information according to the name of the first commodity to be replenished and the quantity of the first replenishment commodity;

S705: Send the first replenishment information to the terminal of the replenishment personnel corresponding to the location information.

In this embodiment, the sales platform compares the quantity of each product with the corresponding first replenishment threshold, and selects the name of the product whose quantity is smaller than the corresponding second replenishment threshold as the name of the first product to be replenished. Then, the sales platform retrieves the preset quantity of commodities corresponding to the name of the first commodity to be replenished. Wherein, the preset commodity quantity is the upper limit quantity of the commodity corresponding to the first commodity name to be replenished in the vending machine. The sales platform calculates the difference between the preset commodity quantity and the commodity quantity corresponding to the first commodity name to be replenished, and selects the difference as the first replenishment commodity quantity. The sales platform generates the first replenishment information after one-to-one correspondence between the name of the first commodity to be replenished and the quantity of the first replenishment commodity, and classifying them according to the type of commodity. For example, the quantity of the first replenishment product that needs to be replenished, such as fruit juice and mineral water, and the name of the first product to be replenished are divided into the same group as the beverage group; the first replenishment of potato chips and bread lamps that need to be replenished The quantity of the product and the name of the first product to be replenished are divided into the same group as a food group, so that when replenishing later, the replenishment personnel can quickly find the corresponding product according to the type of product. After generating all the first replenishment information, the sales platform screens the first replenishment information of each vending machine belonging to the same area according to the location information, and then sends the first replenishment information of each vending machine in the same area to the corresponding The terminal of the replenishment personnel is convenient for the replenishment personnel to replenish the goods nearby and improve the efficiency of replenishment.

Further, before the step of receiving the signal of completion of the transaction uploaded by each vending machine in real time, it includes:

S12: Update the sales information of each of the vending machines according to a second preset frequency, the sales information includes at least one sold commodity name, the sales quantity corresponding to each sold commodity name, and the total sales quantity ;

S13: Calculate the proportion of each sales volume in the total sales volume;

S14: According to the total capacity of the vending machine and the ratio, calculate and obtain the preset commodity quantity of the commodity corresponding to each ratio in the vending machine.

In this embodiment, the sales platform updates the sales information of each vending machine according to the second preset frequency, for example, updates the sales information of each vending machine in this week or this day once a week or a day. Wherein, the sales information includes the names of the commodities sold by the vending machine, the sales quantity corresponding to each commodity name, and the total sales quantity within the time period. Taking a week as an example, the vending platform calculates the ratio of each sales volume of the vending machine to the total sales volume in this week, that is, the proportion of each sales volume to the total sales volume. Then, according to the total capacity and proportion of the vending machine, the vending platform calculates the preset quantity of commodities corresponding to each proportion in the vending machine, that is, the total quantity of commodities in the next week corresponding to the commodity names of each commodity. For example, in a week, the total sales volume is 1000, the sales volume of mineral water is 100, and the number of potato chips is 50. Correspondingly, the ratio between potato chips and the total sales volume, that is, the proportion relative to the total sales volume is 5%; the proportion of mineral water to the total sales volume is 10%. The total storage capacity of the vending machine is 100, then in the next week, the preset product quantity of mineral water is 10, and the preset product quantity of potato chips is 5. The vending platform updates the sales information of each vending machine according to the second preset frequency, which can realize the setting of the optimal commodity quantity of vending machines in each area.

Further, in this implementation, when the vending platform detects that the total sales volume of the updated vending machine is less than the standard sales volume, it will update the non-standard times of the vending machine. If the number of times the vending machine fails to meet the standard is greater than the first preset number of times, the vending platform will output a first alarm message, prompting the direct seller of the vending platform whether to cancel the vending machine.

Further, in this implementation, when the sales platform detects that the sales quantity corresponding to the updated commodity name is less than the minimum sales quantity, it will update the number of unsold goods of the commodity name. If the unsalable times of the product name is greater than the second preset number of times, the sales platform will output a second alarm message, prompting the direct seller of the sales platform whether to remove the product corresponding to the product name.

Further, the total sales volume is composed of a plurality of second unit time sales volumes, after the step of updating the sales information of each vending machine according to the second preset frequency, it includes:

S15: Comparing each of the second sales volume per unit time with a second threshold, and selecting a unit time period corresponding to the second sales volume per unit time smaller than the second threshold as a sleep time period of the vending machine, The sleep time period is correspondingly associated with the location information of the vending machine, and the sleep time period is a time period when the vending machine enters a sleep state.

In this embodiment, the total sales volume corresponding to each vending machine updated by the sales platform is composed of multiple second unit time sales volumes. For example, the sales volume of No. 1 vending machine in the second unit time of 8-9 o'clock; the sales volume of No. 1 vending machine in the second unit time of 9-10 o'clock. After the vending platform updates the sales information of each vending machine according to the second preset frequency, it calls the preset second threshold value, and compares the corresponding second unit time sales volume of each vending machine with the second threshold value. A comparison. Among them, the second threshold is freely defined by the personnel of the vending platform. When the sales volume per unit time of the vending machine is less than the second threshold, the personnel of the vending platform considers the unit time to be a slow-moving period of commodities, and fewer transactions occur. If any of the second sales volumes per unit time is greater than the second threshold, the sales platform sets the unit time period corresponding to the second unit time sales volume as the sleep time period of the corresponding vending machine. Wherein, the sleep time period is correspondingly associated with the position information of the vending machine, and the sleep time period is a time period when the vending machine enters a sleep state. For example, if the second threshold is 10, the sales volume of No. 1 vending machine in the second unit time from 20-21 o'clock is 20, and the sales volume in the second unit time from 21-22 o'clock is 5, then the vending platform sets 1 The sleep time period of vending machine No. 1 is 21-22 o'clock, and the sleep time period is associated with the position information of vending machine No. 1. The vending platform will monitor the time in real time, and activate the dormancy function of the vending machine corresponding to the dormancy time period within the dormancy time period of each vending machine. For example, turn off the display screen of the vending machine and turn off the lighting to save energy consumption.

Further, the step of sending the first replenishment information to the terminal of the replenishment personnel corresponding to the location information includes:

S7051: Screen the first replenishment information of each of the vending machines belonging to the same area according to the location information;

S7052: Send the first replenishment information of each of the vending machines in the same area to the terminal of the corresponding replenishment personnel.

In this embodiment, after obtaining the first replenishment information corresponding to each vending machine, the vending platform screens all the replenishment information according to the location information of the vending machines, so that the replenishment information corresponding to each vending machine in the same area aggregated into a group. After the screening is completed, the vending platform sends the location information of each group of vending machines and the first replenishment information to a designated terminal, that is, a preset terminal corresponding to replenishment personnel in the same area. Wherein, the vending platform is pre-assigned with terminals corresponding to replenishment personnel according to different regions, so that the replenishment personnel can replenish the vending machines in the same area. For example, the vending machines set up in a certain street and the vending machines set up in a shopping mall both belong to No. 1 area, and No. 1 area corresponds to the No. 1 preset terminal with replenishment personnel. The goods information is sent to the No. 1 preset terminal, so that the replenishment personnel can quickly complete the replenishment of goods.

The big data-based replenishment method for vending machines provided in this embodiment monitors the transaction status of the vending machines in real time, and dynamically adjusts the replenishment time, Replenishment quantity and replenishment products, realize remote terminal intelligent prediction of vending machine replenishment trend.

Referring to Figure 2, an embodiment of the present application also provides a big data-based vending machine replenishment device, including:

The receiving module 1 is used to receive the signal of the completion of the transaction uploaded by each vending machine;

The first acquiring module 2 is used to respectively acquire the commodity information and location information remaining in the vending machines where each transaction is completed;

The first judging module 3 is used for judging whether to set a hot sale time period for the vending machine that has completed the transaction;

The second judging module 4 is used to judge whether the current moment is included in the time period when the product is hot;

The second acquisition module 5 is used to acquire a plurality of commodity hot sales per unit time corresponding to each commodity name of the vending machine that has completed the transaction before the current time;

The setting module 6 is used to calculate the average best-selling commodity per unit time according to the hot sales volume of each commodity per unit time, and set the average best-selling commodity per unit time as the first replenishment corresponding to each commodity name threshold;

The first sending module 7 is configured to screen out the first commodities to be replenished whose quantity is smaller than the corresponding first replenishment threshold, and send the first replenishment information according to preset rules.

In this embodiment, the vending platform is a direct sales service platform for vending machines, which is used to record commodity information and location information of each vending machine and realize automatic vending services for vending machines. The vending platform is connected with each vending machine through wireless signals. Among them, each vending machine is located in different areas. When using the automatic vending function of the vending machine, the user first scans the static code that comes with the vending machine through the mobile terminal, then enters the amount, and selects the payment bank. Among them, payment banks include major state-owned banks and small and medium-sized banks. After the user selects the payment bank, the vending machine sends the payment information to the vending platform. The payment information includes the payment amount, the name of the product to be purchased, and the quantity to be purchased. After the vending platform completes the deduction, it sends an instruction to the vending machine, allowing the user to take out the corresponding product. At the same time, the vending platform updates the current commodity information corresponding to the vending machine according to the commodity name and the purchase quantity. The vending platform receives the transaction completion signal uploaded by each vending machine in real time or at regular intervals. If the transaction is completed, the vending platform obtains the remaining commodity information and location information of each vending machine that has completed the transaction. Wherein, the commodity information includes commodity names of all commodities currently remaining in the vending machine and commodity quantities corresponding to each commodity name. According to the sales volume in each region, the vending platform sets a commodity hot-selling time period for the vending machine. The commodity hot-selling time period is a preset time period when the sales volume of the vending machine per unit time is greater than the first threshold. The vending platform can associate the hot selling time of the commodity with the location information of the vending machine, wherein the location information of the vending machine serves as an identification and is used for the association identification between the vending platform and the vending machine. Therefore, the vending platform can directly inquire whether there is a best-selling time period associated with the vending machine based on the location information of the vending machine that completed the transaction, so as to directly determine whether the vending machine is set with a best-selling time period. If the vending machine that completes the transaction is set with a hot commodity time zone, the vending platform acquires the current time and judges whether the current moment is included in the commodity hot sales time zone. For example, the best-selling time period of a product is 12:00-13:00, and the current time is 12:45, then the sales platform determines that the current time is included in the best-selling time period of the product. At this time, the vending platform separately obtains the hot sales volume of the vending machine corresponding to each product name before the current time. The goods platform retrieves the sales volume corresponding to the unit time of each product in the hot-selling time period in the week before the current time, that is, obtains the detailed data of the hot sales volume of each product with a total of 7 products per unit time. The sales platform calculates the total sales volume of each product corresponding to each product in the week before the current time based on the hot sales volume of each unit time, and then calculates Obtain the average sales volume of commodities per unit time. According to this calculation rule, the ticketing platform calculates the average best-selling commodity per unit time corresponding to each commodity name, and sets the average best-selling commodity per unit time as the first replenishment threshold corresponding to each commodity name. Wherein, the first replenishment threshold is the minimum value that triggers the replenishment function within the time period for the vending machine that is set with a hot-selling commodity period. For example, the first replenishment threshold is 50, and when the current commodity quantity of the product is 40, which is less than the first replenishment threshold, the replenishment function is triggered. The vending platform respectively judges whether the quantity of each commodity is greater than the corresponding first replenishment threshold according to the preset commodity name of the commodity. The sales platform compares the quantity of each commodity with the corresponding first replenishment threshold, and selects the commodity name corresponding to the commodity quantity smaller than the first replenishment threshold as the first commodity name to be replenished. Then the preset commodity quantity corresponding to the first commodity name to be replenished is called. Wherein, the preset commodity quantity is the upper limit quantity of the commodity corresponding to the first commodity name to be replenished in the vending machine. The sales platform calculates the difference between the preset commodity quantity and the commodity quantity corresponding to the first replenishment commodity name, and selects the difference as the first replenishment commodity quantity. Finally, according to the name of the first product to be replenished and the quantity of the first replenishment product, the first replenishment information is generated, and the first replenishment information is sent to the location information corresponding to the vending machine that completed the transaction. Terminal for replenishment personnel.

Further, the replenishment device also includes:

A third acquisition module 8, configured to acquire a plurality of first unit time sales volumes of each of the vending machines according to a first preset frequency;

The first selection module 9 is configured to respectively compare each of the first unit-time sales volumes with the first threshold, and select the unit time period corresponding to the first unit-time sales volume greater than the first threshold as The hot selling time period of the commodity.

In this embodiment, the vending platform acquires a plurality of first unit time sales quantities corresponding to each vending machine according to a first preset frequency. Wherein, the first unit time sales volume is the total sales volume of the vending machine per unit time. For example, in every day, the total number of sales of No. 1 vending machine at 8-9 o'clock; the total number of sales of No. 1 vending machine at 9-10 o'clock. The sales platform retrieves the first threshold, and compares the sales volume of each first unit time with the first threshold, and screens out the part of the first unit time sales that are greater than the first threshold from the sales volume of each first unit time. quantity. The sales platform sets the unit time period corresponding to the part of the first unit time sales volume as the commodity best-selling time period. For example, the first threshold is 100, the sales volume of No. 1 vending machine is 50 per unit time from 8 to 9 o'clock, and the sales volume is 120 per unit time from 9 to 10 o'clock, then the vending platform sets No. 1 vending machine The hot selling time period for cargo aircraft is . Further, the goods receiving platform associates the best-selling time period of the product with the location information of the vending machine, for example, associates the best-selling time period of the product at 9-10 o'clock with the location information of the No. 1 vending machine.

Further, the replenishment device also includes:

The second retrieval module 10 is used to respectively retrieve the second replenishment thresholds corresponding to the commodity names;

The second sending module 11 is configured to screen out the second commodities to be replenished whose quantity is smaller than the corresponding second replenishment threshold, and send the second replenishment information according to the preset rule.

In this embodiment, the vending platform can directly inquire whether there is a hot-selling time period associated with the vending machine based on the location information of the vending machine that completed the transaction, so as to directly determine whether the vending machine is set with a hot-selling time period. If the vending machine is not set with a time period for the hot sale of commodities, it means that the vending machine does not have a time period for the hot sale of commodities, and its sales speed is gentle, and the situation that the commodities will not be sold out in a short time will not occur. The sales platform retrieves the second replenishment threshold corresponding to each commodity name. Wherein, the second replenishment threshold is the minimum value that the commodity needs to be replenished when the vending machine is not currently in a commodity hot sale time period or is not set in a commodity hot sale time period. For example, the normal product quantity of product A is 30, and the normal product quantity of product B is 20. The sales platform sets different second replenishment thresholds according to the historical sales records of each product. The sales platform respectively compares the quantity of each commodity with the second replenishment threshold, and selects the commodity name corresponding to the commodity quantity smaller than the second replenishment threshold as the name of the second commodity to be replenished. Then, the preset commodity quantity corresponding to the second commodity name to be replenished is retrieved. Wherein, the preset quantity of commodities is the upper limit quantity of commodities corresponding to the name of the second commodity to be replenished in the vending machine. The sales platform calculates the difference between the preset commodity quantity and the commodity quantity corresponding to the second commodity name to be replenished, and selects the difference as the second replenishment commodity quantity. Finally, the second replenishment information is generated according to the name of the second commodity to be replenished and the quantity of the second replenishment commodity, and the second replenishment information is sent to the terminal of the corresponding replenishment personnel.

Further, if there are multiple second commodity names to be replenished, the after-sales platform finally classifies each second commodity name to be replenished and the quantity of the second replenishment commodity corresponding to each second commodity name to be replenished according to commodity types , to generate the second replenishment information.

Further, the first sending module 7 includes:

The selection unit is used to compare the quantity of each commodity with the corresponding first replenishment threshold, and select the commodity whose quantity is smaller than the corresponding first replenishment threshold as the first commodity name to be replenished;

A calling unit, configured to call the preset quantity of goods corresponding to the name of the first commodity to be replenished;

A calculation unit, configured to calculate the difference between the preset commodity quantity and the commodity quantity corresponding to the first commodity name to be replenished, and select the difference as the first replenishment commodity quantity;

A generating unit, configured to generate the first replenishment information according to the name of the first commodity to be replenished and the quantity of the first replenishment commodity;

A sending unit, configured to send the first replenishment information to the terminal of the replenishment personnel corresponding to the location information.

In this embodiment, the sales platform compares the quantity of each product with the corresponding first replenishment threshold, and selects the name of the product whose quantity is smaller than the corresponding second replenishment threshold as the name of the first product to be replenished. Then, the sales platform retrieves the preset quantity of commodities corresponding to the name of the first commodity to be replenished. Wherein, the preset commodity quantity is the upper limit quantity of the commodity corresponding to the first commodity name to be replenished in the vending machine. The sales platform calculates the difference between the preset commodity quantity and the commodity quantity corresponding to the first commodity name to be replenished, and selects the difference as the first replenishment commodity quantity. The sales platform generates the first replenishment information after one-to-one correspondence between the name of the first commodity to be replenished and the quantity of the first replenishment commodity, and classifying them according to the type of commodity. For example, the quantity of the first replenishment product that needs to be replenished, such as fruit juice and mineral water, and the name of the first product to be replenished are divided into the same group as the beverage group; the first replenishment of potato chips and bread lamps that need to be replenished The quantity of the product and the name of the first product to be replenished are divided into the same group as a food group, so that when replenishing later, the replenishment personnel can quickly find the corresponding product according to the type of product. After generating all the first replenishment information, the sales platform screens the first replenishment information of each vending machine belonging to the same area according to the location information, and then sends the first replenishment information of each vending machine in the same area to the corresponding The terminal of the replenishment personnel is convenient for the replenishment personnel to replenish the goods nearby and improve the efficiency of replenishment.

Further, the replenishment device also includes:

An update module 12, configured to update the vending information of each vending machine according to a second preset frequency;

The first calculation module 13 is used to separately calculate the proportion of each sales volume in the total sales volume;

The second calculation module 14 is configured to calculate and obtain the preset quantity of commodities in the vending machine corresponding to each proportion according to the total capacity of the vending machine and the proportion.

In this embodiment, the sales platform updates the sales information of each vending machine according to the second preset frequency, for example, updates the sales information of each vending machine in this week or this day once a week or a day. Wherein, the sales information includes the names of the commodities sold by the vending machine, the sales quantity corresponding to each commodity name, and the total sales quantity within the time period. Taking a week as an example, the vending platform calculates the ratio of each sales volume of the vending machine to the total sales volume in this week, that is, the proportion of each sales volume to the total sales volume. Then, according to the total capacity and proportion of the vending machine, the vending platform calculates the preset quantity of commodities corresponding to each proportion in the vending machine, that is, the total quantity of commodities in the next week corresponding to the commodity names of each commodity. For example, in a week, the total sales volume is 1000, the sales volume of mineral water is 100, and the number of potato chips is 50. Correspondingly, the ratio between potato chips and the total sales volume, that is, the proportion relative to the total sales volume is 5%; the proportion of mineral water to the total sales volume is 10%. The total storage capacity of the vending machine is 100, then in the next week, the preset product quantity of mineral water is 10, and the preset product quantity of potato chips is 5. The vending platform updates the sales information of each vending machine according to the second preset frequency, which can realize the setting of the optimal commodity quantity of vending machines in each area.

Further, in this implementation, when the vending platform detects that the total sales volume of the updated vending machine is less than the standard sales volume, it will update the non-standard times of the vending machine. If the number of times the vending machine fails to meet the standard is greater than the first preset number of times, the vending platform will output a first alarm message, prompting the direct seller of the vending platform whether to cancel the vending machine.

Further, in this implementation, when the sales platform detects that the sales quantity corresponding to the updated commodity name is less than the minimum sales quantity, it will update the number of unsold goods of the commodity name. If the unsalable times of the product name is greater than the second preset number of times, the sales platform will output a second alarm message, prompting the direct seller of the sales platform whether to remove the product corresponding to the product name.

Further, the replenishment device also includes:

The second selection module 15 is configured to compare each of the second unit time sales volumes with a second threshold, and select the unit time period corresponding to the second unit time sales volume smaller than the second threshold value as the sales volume. The sleep period of the cargo aircraft.

In this embodiment, the total sales volume corresponding to each vending machine updated by the sales platform is composed of multiple second unit time sales volumes. For example, the sales volume of No. 1 vending machine in the second unit time of 8-9 o'clock; the sales volume of No. 1 vending machine in the second unit time of 9-10 o'clock. After the vending platform updates the sales information of each vending machine according to the second preset frequency, it calls the preset second threshold value, and compares the corresponding second unit time sales volume of each vending machine with the second threshold value. A comparison. Among them, the second threshold is freely defined by the personnel of the vending platform. When the sales volume per unit time of the vending machine is less than the second threshold, the personnel of the vending platform considers the unit time to be a slow-moving period of commodities, and fewer transactions occur. If any of the second sales volumes per unit time is greater than the second threshold, the sales platform sets the unit time period corresponding to the second unit time sales volume as the sleep time period of the corresponding vending machine. Wherein, the sleep time period is correspondingly associated with the position information of the vending machine, and the sleep time period is a time period when the vending machine enters a sleep state. For example, if the second threshold is 10, the sales volume of No. 1 vending machine in the second unit time from 20-21 o'clock is 20, and the sales volume in the second unit time from 21-22 o'clock is 5, then the vending platform sets 1 The sleep time period of vending machine No. 1 is 21-22 o'clock, and the sleep time period is associated with the position information of vending machine No. 1. The vending platform will monitor the time in real time, and activate the dormancy function of the vending machine corresponding to the dormancy time period within the dormancy time period of each vending machine. For example, turn off the display screen of the vending machine and turn off the lighting to save energy consumption.

Further, the sending unit includes:

A screening subunit, configured to screen the first replenishment information of each of the vending machines belonging to the same area according to the location information;

The sending subunit is configured to send the first replenishment information of each of the vending machines in the same area to the terminal of the corresponding replenishment personnel.

In this embodiment, after obtaining the first replenishment information corresponding to each vending machine, the vending platform screens all the replenishment information according to the location information of the vending machines, so that the replenishment information corresponding to each vending machine in the same area aggregated into a group. After the screening is completed, the vending platform sends the location information of each group of vending machines and the first replenishment information to a designated terminal, that is, a preset terminal corresponding to replenishment personnel in the same area. Wherein, the vending platform is pre-assigned with terminals corresponding to replenishment personnel according to different regions, so that the replenishment personnel can replenish the vending machines in the same area. For example, the vending machines set up in a certain street and the vending machines set up in a shopping mall both belong to No. 1 area, and No. 1 area corresponds to the No. 1 preset terminal with replenishment personnel. The goods information is sent to the No. 1 preset terminal, so that the replenishment personnel can quickly complete the replenishment of goods.

A vending machine replenishment device based on big data provided in this embodiment monitors the transaction status of the vending machines in real time, and dynamically adjusts the replenishment time, Replenishment quantity and replenishment products, to realize the remote terminal intelligently predict the replenishment trend of the vending machine.

Referring to FIG. 3 , an embodiment of the present application further provides a computer device, which may be a server, and its internal structure may be as shown in FIG. 3 . The computer device includes a processor, memory, network interface and database connected by a system bus. Among them, the processor designed by the computer is used to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs and databases. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store data such as preset time periods. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for replenishing vending machines based on big data is realized.

The above-mentioned processor executes the above-mentioned steps of vending machine replenishment based on big data:

S1: Receive the signal of the completion of the transaction uploaded by each vending machine;

S2: Respectively acquire remaining product information and location information in each vending machine, where the product information includes a plurality of product names and the quantity of products corresponding to each of the product names;

S3: Judging whether to set a hot-selling time period for the vending machine that completed the transaction, the hot-selling time period is a preset time period when the unit time sales volume of the vending machine is greater than the first threshold;

S4: If there is a hot-selling time period of the commodity, determine whether the current moment is included in the hot-selling time period of the commodity;

S5: If it is included in the hot sale time period of the commodity, obtain a plurality of hot sales volumes of the commodity per unit time corresponding to each of the commodity names of the vending machine that completed the transaction before the current time, wherein the Product hot sales per unit time refers to the sales volume per unit time of the product on the vending machine during the hot-selling time period of the product;

S6: Calculate the average best-selling commodity per unit time according to the hot sales of each commodity per unit time, and set the average best-selling commodity per unit time as the first replenishment threshold corresponding to each commodity name, the The first replenishment threshold is the minimum value that needs to be replenished during the time period when the commodity in the vending machine is hot;

S7: Screen out the first commodity to be replenished whose quantity is smaller than the corresponding first replenishment threshold, and send the first replenishment information according to the preset rules, and the first replenishment information is used to remind the to-be-replenishment The commodity is replenished, and the first replenishment information includes the identification information of the commodity to be replenished, the location information of the vending machine corresponding to the commodity to be replenished, and the quantity of the commodity to be replenished.

Further, before the step of judging whether to set a hot sale time period for the vending machine that completed the transaction, it includes:

S8: Obtain a plurality of first sales volumes per unit time of each of the vending machines according to a first preset frequency, where the first sales volume per unit time is the total sales volume of the vending machines within a unit time period;

S9: Comparing each of the sales volumes per unit time with the first threshold, and selecting the unit time period corresponding to the sales volume per unit time greater than the first threshold as the commodity hot sales time part.

Further, after the step of judging whether to set a hot sale time period for the vending machine that completed the transaction, it includes:

S10: If no commodity hot-selling time period is set, respectively call the second replenishment threshold corresponding to each of the preset commodity names;

S11: Screen out the second pending commodities whose quantity is smaller than the corresponding second replenishment threshold, and send the second replenishment information according to the preset rule.

Further, the step of screening out the first commodities to be replenished whose quantity is smaller than the corresponding first replenishment threshold, and sending the first replenishment information according to preset rules includes:

S701: Comparing the quantity of each commodity with the corresponding first replenishment threshold, and selecting the name of the commodity whose quantity is smaller than the corresponding first replenishment threshold as the name of the first commodity to be replenished;

S702: Retrieve the preset commodity quantity corresponding to the first commodity name to be replenished, where the preset commodity quantity is the upper limit quantity of commodities corresponding to the first commodity name to be replenished in the vending machine;

S703: Calculating the difference between the preset commodity quantity and the commodity quantity corresponding to the first commodity name to be replenished, and selecting the difference as the first replenishment commodity quantity;

S704: Generate the first replenishment information according to the name of the first commodity to be replenished and the quantity of the first replenishment commodity;

S705: Send the first replenishment information to the terminal of the replenishment personnel corresponding to the location information.

Further, before the step of receiving the signal of completion of the transaction uploaded by each vending machine in real time, it includes:

S12: Update the sales information of each of the vending machines according to a second preset frequency, the sales information includes at least one sold commodity name, the sales quantity corresponding to each sold commodity name, and the total sales quantity ;

S13: Calculate the proportion of each sales volume in the total sales volume;

S14: According to the total capacity of the vending machine and the ratio, calculate and obtain the preset commodity quantity of the commodity corresponding to each ratio in the vending machine.

Further, the total sales volume is composed of a plurality of second unit time sales volumes, after the step of updating the sales information of each vending machine according to the second preset frequency, it includes:

S15: Comparing each of the second sales volume per unit time with a second threshold, and selecting a unit time period corresponding to the second sales volume per unit time smaller than the second threshold as a sleep time period of the vending machine, The sleep time period is correspondingly associated with the location information of the vending machine, and the sleep time period is a time period when the vending machine enters a sleep state.

Further, the step of sending the first replenishment information to the terminal of the replenishment personnel corresponding to the location information includes:

S7051: Screen the first replenishment information of each of the vending machines belonging to the same area according to the location information;

S7052: Send the first replenishment information of each of the vending machines in the same area to the terminal of the corresponding replenishment personnel.

Those skilled in the art can understand that the structure shown in FIG. 3 is only a block diagram of a partial structure related to the solution of this application, and does not constitute a limitation on the computer equipment to which the solution of this application is applied.

An embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, a method for replenishing vending machines based on big data is implemented, specifically:

S1: Receive the signal of the completion of the transaction uploaded by each vending machine;

S2: Respectively acquire remaining product information and location information in each vending machine, where the product information includes a plurality of product names and the quantity of products corresponding to each of the product names;

S3: Judging whether to set a hot-selling time period for the vending machine that completed the transaction, the hot-selling time period is a preset time period when the unit time sales volume of the vending machine is greater than the first threshold;

S4: If there is a hot-selling time period of the commodity, determine whether the current moment is included in the hot-selling time period of the commodity;

S5: If it is included in the hot sale time period of the commodity, obtain a plurality of hot sales volumes of the commodity per unit time corresponding to each of the commodity names of the vending machine that completed the transaction before the current time, wherein the Product hot sales per unit time refers to the sales volume per unit time of the product on the vending machine during the hot-selling time period of the product;

S6: Calculate the average best-selling commodity per unit time according to the hot sales volume of each commodity per unit time, and set the average best-selling commodity per unit time as the first replenishment threshold corresponding to each commodity name, the The first replenishment threshold is the minimum value that needs to be replenished during the time period when the commodities in the vending machine are hot;

S7: Screen out the first commodity to be replenished whose quantity is smaller than the corresponding first replenishment threshold, and send the first replenishment information according to the preset rules, and the first replenishment information is used to remind the to-be-replenishment The commodity is replenished, and the first replenishment information includes the identification information of the commodity to be replenished, the location information of the vending machine corresponding to the commodity to be replenished, and the quantity of the commodity to be replenished.

Further, before the step of judging whether to set a hot sale time period for the vending machine that completed the transaction, it includes:

S8: Obtain a plurality of first sales volumes per unit time of each of the vending machines according to a first preset frequency, where the first sales volume per unit time is the total sales volume of the vending machines within a unit time period;

S9: Comparing each of the sales volumes per unit time with the first threshold, and selecting the unit time period corresponding to the sales volume per unit time greater than the first threshold as the commodity hot sales time part.

Further, after the step of judging whether to set a hot sale time period for the vending machine that completed the transaction, it includes:

S10: If no commodity hot-selling time period is set, respectively call the second replenishment threshold corresponding to each of the preset commodity names;

S11: Screen out the second pending commodities whose quantity is smaller than the corresponding second replenishment threshold, and send the second replenishment information according to the preset rule.

Further, the step of screening out the first commodities to be replenished whose quantity is smaller than the corresponding first replenishment threshold, and sending the first replenishment information according to preset rules includes:

S701: Comparing the quantity of each commodity with the corresponding first replenishment threshold, and selecting the name of the commodity whose quantity is smaller than the corresponding first replenishment threshold as the name of the first commodity to be replenished;

S702: Retrieve the preset commodity quantity corresponding to the first commodity name to be replenished, where the preset commodity quantity is the upper limit quantity of commodities corresponding to the first commodity name to be replenished in the vending machine;

S703: Calculating the difference between the preset commodity quantity and the commodity quantity corresponding to the first commodity name to be replenished, and selecting the difference as the first replenishment commodity quantity;

S704: Generate the first replenishment information according to the name of the first commodity to be replenished and the quantity of the first replenishment commodity;

S705: Send the first replenishment information to the terminal of the replenishment personnel corresponding to the location information.

Further, before the step of receiving the signal of completion of the transaction uploaded by each vending machine in real time, it includes:

S12: Update the sales information of each of the vending machines according to a second preset frequency, the sales information includes at least one sold commodity name, the sales quantity corresponding to each sold commodity name, and the total sales quantity ;

S13: Calculate the proportion of each sales volume in the total sales volume;

S14: According to the total capacity of the vending machine and the ratio, calculate and obtain the preset commodity quantity of the commodity corresponding to each ratio in the vending machine.

Further, the total sales volume is composed of a plurality of second unit time sales volumes, after the step of updating the sales information of each vending machine according to the second preset frequency, it includes:

S15: Comparing each of the second sales volume per unit time with a second threshold, and selecting a unit time period corresponding to the second sales volume per unit time smaller than the second threshold as a sleep time period of the vending machine, The sleep time period is correspondingly associated with the location information of the vending machine, and the sleep time period is a time period when the vending machine enters a sleep state.

Further, the step of sending the first replenishment information to the terminal of the replenishment personnel corresponding to the location information includes:

S7051: Screen the first replenishment information of each of the vending machines belonging to the same area according to the location information;

S7052: Send the first replenishment information of each of the vending machines in the same area to the terminal of the corresponding replenishment personnel.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above-mentioned embodiments can be completed by instructing related hardware through computer programs, and the computer programs can be stored in a non-volatile computer-readable memory In the medium, when the computer program is executed, it may include the processes of the embodiments of the above-mentioned methods. Wherein, any references to memory, storage, database or other media provided in the present application and used in the embodiments may include non-volatile and/or volatile memory. Nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (SSRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

It should be noted that, in this document, the terms "comprising", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion such that a process, apparatus, article or method comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, apparatus, article, or method. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional same elements in the process, apparatus, article or method comprising the element.

The above descriptions are only preferred embodiments of the application, and are not intended to limit the patent scope of the application. Any equivalent structure or equivalent process conversion made by using the specification and drawings of the application, or directly or indirectly used in other relevant All technical fields are equally included in the patent protection scope of the present application.

Claims (10)

1. A vending machine replenishment method based on big data, characterized in that it is applied to a vending platform, and the vending platform is connected with a plurality of vending machines by wireless signals, and each of the vending machines is respectively arranged in different areas, The sales platform records the location information corresponding to each of the vending machines, including: receiving a transaction completion signal uploaded by each of the vending machines; Respectively acquire the remaining product information and location information in each vending machine that has completed the transaction, where the product information includes multiple product names and the number of products corresponding to each of the product names; Judging whether to set a hot-selling time period for the vending machine that completed the transaction, the hot-selling time period is a preset time period when the unit time sales volume of the vending machine is greater than the first threshold; If the time period for the hot sales of commodities is set for the vending machine that completed the transaction, then it is judged whether the current moment is included in the hot sales time period for the commodities; If it is included in the hot sale time period of the commodity, obtain a plurality of hot sales volumes of the commodity per unit time corresponding to each commodity name of the vending machine that completed the transaction before the current time, wherein the commodity per unit time Hot sales volume refers to the sales volume per unit time of the commodity in the vending machine during the hot-selling period of the commodity; According to the hot sales volume of each commodity per unit time, the average commodity hot sales per unit time is calculated, and the average commodity best sales per unit time is set as the first replenishment threshold corresponding to each commodity name, and the first The replenishment threshold is the minimum value that needs to be replenished during the hot sale period of the commodities in the vending machine; Screen out the first replenishment commodity whose quantity is smaller than the corresponding first replenishment threshold, and send the first replenishment information according to the preset rules, and the first replenishment information is used to prompt the replenishment of the commodity to be replenished For replenishment, the first replenishment information includes the identification information of the commodity to be replenished, the location information of the vending machine corresponding to the commodity to be replenished, and the quantity of the commodity to be replenished. 2. The vending machine replenishment method based on big data according to claim 1, characterized in that, before the step of determining whether to set a hot sale time period for the vending machine that has completed the transaction, the method includes: Acquiring a plurality of first sales volumes per unit time of each of the vending machines according to a first preset frequency, the first sales volume per unit time being the total sales volume of the vending machines within a unit time period; Comparing each of the first sales volumes per unit time with the first threshold, and selecting the unit time period corresponding to the first sales volume per unit time greater than the first threshold as the commodity best-selling time period. 3. The vending machine replenishment method based on big data according to claim 1, characterized in that, after the step of determining whether to set a hot sale time period for the vending machine that has completed the transaction, the method includes: If there is no commodity hot-selling time period set for the vending machine that completed the transaction, the second replenishment threshold corresponding to each commodity name is respectively called; Screening out the second commodities to be replenished whose quantity is smaller than the corresponding second replenishment threshold, and sending the second replenishment information according to the preset rule. 4. The method for replenishment of vending machines based on big data according to claim 1, characterized in that, the first commodities to be replenished whose quantity of commodities is less than the corresponding first replenishment threshold are screened out, and the first commodities to be replenished are selected according to preset rules. Steps for sending first replenishment information, including: Comparing the quantity of each of the commodities with the corresponding first replenishment threshold, and selecting the commodity whose quantity is smaller than the corresponding first replenishment threshold as the first commodity name to be replenished; Retrieving the preset commodity quantity corresponding to the first commodity name to be replenished, the preset commodity quantity is the upper limit quantity of commodities corresponding to the first commodity name to be replenished in the vending machine; Calculating the difference between the preset commodity quantity and the commodity quantity corresponding to the first commodity name to be replenished, and selecting the difference as the first replenishment commodity quantity; generating the first replenishment information according to the name of the first commodity to be replenished and the quantity of the first replenishment commodity; Sending the first replenishment information to the terminal of the replenishment personnel corresponding to the location information. 5. The vending machine replenishment method based on big data according to claim 4, characterized in that, before the step of receiving the signal of completion of the transaction uploaded by each of the vending machines in real time, the method includes: updating the sales information of each of the vending machines according to a second preset frequency, the sales information including at least one sold commodity name, the sales quantity corresponding to each of the sold commodity names, and the total sales volume; Calculating the proportion of each sales volume in the total sales volume; According to the total capacity of the vending machine and the ratio, the preset commodity quantity of the commodity corresponding to each ratio in the vending machine is calculated. 6. The vending machine replenishment method based on big data according to claim 5, characterized in that, the total sales volume is composed of a plurality of second unit time sales volumes, and the update according to the second preset frequency After the step of selling information of each vending machine, include: Comparing each of the sales volume per unit time with a second threshold, and selecting a unit time period corresponding to the second sales volume per unit time that is smaller than the second threshold, as the sleep time period of the vending machine, the The sleep time period is correspondingly associated with the location information of the vending machine, and the sleep time period is a time period when the vending machine enters a sleep state. 7. The big data-based vending machine replenishment method according to claim 4, wherein the step of sending the first replenishment information to the terminal of the replenishment personnel corresponding to the location information includes : Screening the first replenishment information of each of the vending machines belonging to the same area according to the location information; Sending the first replenishment information of each of the vending machines in the same area to the terminal of the corresponding replenishment personnel. 8. A vending machine replenishment device based on big data, characterized in that it comprises: The receiving module is used to receive the signal of the completion of the transaction uploaded by each vending machine; The first obtaining module is used to separately obtain the remaining product information and location information in each vending machine that has completed the transaction; The first judging module is used to judge whether to set a hot sale time period for the vending machine that completed the transaction; The second judging module is used for judging whether the current moment is included in the hot sale time period of the commodity; The second acquiring module is used to acquire a plurality of commodity hot sales per unit time corresponding to each commodity name of the vending machine that has completed the transaction before the current time; A setting module, configured to calculate the average best-selling commodity per unit time according to the hot sales volume of each commodity per unit time, and set the average best-selling commodity per unit time as the first replenishment threshold corresponding to each commodity name ; The first sending module is configured to filter out the first commodities to be replenished whose quantity is smaller than the corresponding first replenishment threshold, and send the first replenishment information according to preset rules. 9. A computer device, comprising a memory and a processor, wherein a computer program is stored in the memory, wherein the processor implements the method according to any one of claims 1 to 7 when executing the computer program step. 10. A computer-readable storage medium, on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are realized.