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CN115826422B - Household equipment control method and device based on artificial intelligence - Google Patents

Household equipment control method and device based on artificial intelligence Download PDF

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Publication number
CN115826422B
CN115826422B CN202211292712.6A CN202211292712A CN115826422B CN 115826422 B CN115826422 B CN 115826422B CN 202211292712 A CN202211292712 A CN 202211292712A CN 115826422 B CN115826422 B CN 115826422B
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household
energy consumption
level
household device
determining
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CN115826422A (en
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朱湘军
彭永坚
汪壮雄
唐伟文
任继光
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Guangzhou Video Star Intelligent Co ltd
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Guangzhou Video Star Intelligent Co ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The invention discloses a household equipment control method and device based on artificial intelligence, which relate to the technical field of artificial intelligence and specifically comprise the following steps: acquiring energy consumption data and using times of each household device in a specified period; acquiring reference information corresponding to each household device from a mapping relation table, wherein the reference information comprises a security index of a user for marking any household device in advance; determining a target trigger level corresponding to each household device according to the energy consumption data, the use times and the reference information of each household device; and configuring the corresponding working parameters of each household device based on the target trigger level. Therefore, personalized triggering conditions can be set for each household appliance according to different conditions of the household appliance, the safety of the household appliance is improved, and the energy consumption caused by false triggering is effectively reduced.

Description

Household equipment control method and device based on artificial intelligence
Technical Field
The disclosure relates to the technical field of artificial intelligence, in particular to a household equipment control method and device based on artificial intelligence.
Background
The intelligent home is embodied in an Internet of things manner under the influence of the Internet of things. The intelligent home is connected with various devices (such as audio and video equipment, a lighting system, curtain control, air conditioner control, a security system, a digital cinema system, network home appliances, three-meter copy and the like) in the home through the internet of things technology, and various functions and means such as home appliance control, lighting control, curtain control, telephone remote control, indoor and outdoor remote control, anti-theft alarm, environment monitoring, heating ventilation control, infrared forwarding and programmable timing control are provided. Compared with the common home, the intelligent home not only has the traditional living function, but also has the functions of building, network communication, information home appliances and equipment automation, and integrates the functions of system, structure, service and management into a whole, thereby being efficient, comfortable, safe, convenient and environment-friendly living environment.
Because smart home is an intelligent operation means to control various devices in home, and home appliances are various, some are commonly used, such as lighting lamps, monitoring and televisions, and some are not commonly used, such as air conditioning and telephones, and only need to be used in a specific time period. Some household appliances play an abnormally important role in household safety, such as security equipment and anti-theft alarm equipment, if the household appliances are closed carelessly, some dangerous factors can be brought to the household, and if the household appliances are operated in a specific working mode carelessly, the household safety is even jeopardized under the condition that a user is careless, such as electric lock access control, gas equipment and water heater equipment.
Therefore, how to make the smart home be able to consider the unique attribute of each home appliance, improve the security of the home, and effectively reduce the energy consumption of the home is a problem to be solved at present.
Disclosure of Invention
The disclosure provides a household equipment control method, device and equipment based on artificial intelligence and a storage medium.
According to an aspect of the present disclosure, there is provided a home appliance control method based on artificial intelligence, including:
acquiring energy consumption data and using times of each household device in a specified period;
acquiring reference information corresponding to each household device from a mapping relation table, wherein the reference information comprises a security index of a user for marking any household device in advance;
determining a target trigger level corresponding to each household device according to the energy consumption data, the use times and the reference information of each household device;
and configuring the corresponding working parameters of each household device based on the target trigger level.
According to a second aspect of the present disclosure, there is provided an artificial intelligence-based home appliance control apparatus, including:
The first acquisition module is used for acquiring the energy consumption data and the use times of each household device in a specified period;
The second acquisition module is used for acquiring reference information corresponding to each household device from the mapping relation table, wherein the reference information comprises a security index marked by a user on any household device in advance;
The determining module is used for determining a target trigger level corresponding to each household device according to the energy consumption data, the using times and the reference information of each household device;
And the configuration module is used for configuring the corresponding working parameters of each household device based on the target trigger level.
Embodiments of a third aspect of the present disclosure provide a computer device comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, which processor implements the method as proposed by the embodiment of the first aspect of the application when executing the program.
An embodiment of a fourth aspect of the present disclosure proposes a non-transitory computer readable storage medium storing a computer program which, when executed by a processor, implements a method as proposed by an embodiment of the first aspect of the present application.
Embodiments of a fifth aspect of the present disclosure propose a computer program product which, when executed by an instruction processor in the computer program product, performs the method proposed by the embodiments of the first aspect of the present disclosure.
In the embodiment of the disclosure, firstly, energy consumption data and usage times of each household device in a specified period are obtained, then, reference information corresponding to each household device is obtained from a mapping relation table, the reference information comprises a safety index marked by a user on any household device in advance, then, a target trigger level corresponding to each household device is determined according to the energy consumption data, the usage times and the reference information of each household device, and finally, working parameters corresponding to each household device are configured based on the target trigger level. Therefore, when the household equipment is triggered, the influence of the household equipment on the household safety can be considered, the triggering level is determined according to the energy consumption data and the use times, so that the household equipment with higher energy consumption and the household equipment with lower use times need higher triggering conditions, namely the household equipment with higher triggering level needs to be subjected to more legal verification, the household equipment with higher energy consumption is prevented from being triggered by mistake, the equipment with lower use times is prevented from being triggered by mistake, and the household equipment with higher importance on the household safety is prevented from being triggered by mistake to be closed. Therefore, personalized triggering conditions can be set for each household appliance according to different conditions of the household appliance, the safety of the household appliance is improved, and the energy consumption caused by false triggering is effectively reduced.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
Fig. 1 is a schematic flow chart of a home appliance control method based on artificial intelligence according to an embodiment of the disclosure;
fig. 2 is a schematic flow chart of another method for controlling home devices based on artificial intelligence according to an embodiment of the disclosure;
fig. 3 is a block diagram of a home appliance control device based on artificial intelligence according to an embodiment of the present disclosure;
fig. 4 is a block diagram of an electronic device for implementing an artificial intelligence based home device control method of an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The method for controlling the household equipment based on the artificial intelligence provided by the disclosure can be executed by the household equipment control device based on the artificial intelligence provided by the disclosure, and can also be executed by the electronic equipment provided by the disclosure, and is not limited herein.
The following performs an artificial intelligence based home appliance control method provided by the present disclosure with an artificial intelligence based home appliance control device provided by the present disclosure, not as a limitation of the present disclosure.
The method, the device, the computer equipment and the storage medium for controlling the household equipment based on the artificial intelligence provided by the disclosure are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a home device control method based on artificial intelligence according to an embodiment of the disclosure.
As shown in fig. 1, the method for controlling home equipment based on artificial intelligence may include the following steps:
step 101, obtaining energy consumption data and using times of each household device in a specified period.
The specified period may be half a year, 1 year, or half a year, which is not limited herein.
For example, the device can acquire the current energy consumption data and the current use times of each household device from the historical data every half year.
The home devices may be home electric devices that can be controlled by a general control device in the current smart home, for example, an audio/video device, a lighting device, a curtain control device, an air conditioning device, a security device, a digital cinema system device, a network home appliance, a three-meter copy device, and the like, where the plurality of home devices are not limited.
The number of times of use may be the number of times of opening and closing the home appliance.
For example, if the specified period is half a year, the number of times of use of the air conditioning apparatus is 60, that is, 60 times of use of the air conditioning apparatus is turned on or 60 times of use of the air conditioning apparatus is turned off, which may be also referred to as 60 times of use of the air conditioning apparatus.
In the present disclosure, the energy consumption is electricity consumption, that is, total electricity consumption in a specified period. For example, when the specified period is one month, the measured air conditioning energy consumption for this month is 255kWh.
Step 102, obtaining reference information corresponding to each piece of home equipment from a mapping relation table, wherein the reference information comprises a security index marked by a user on any piece of home equipment in advance.
In the present application, the security index section is set to [0-100]. The higher the safety index, the greater the function of the household equipment for guaranteeing the household safety, or the serious consequences can be caused if the household equipment is improperly used.
For example, the corresponding safety indexes of gas equipment, safety equipment and burglar alarm equipment are usually high, and are not listed here.
The reference information not only comprises a security index corresponding to any household device, but also comprises a corresponding electricity consumption notice. For example, for a gas appliance, the corresponding reference information may be the safety index 65, and the electricity consumption notice indicates that the gas appliance cannot be always in the on state for a long time.
The mapping relation table is a corresponding relation between household equipment and reference information, wherein the corresponding relation is generated in advance or is generated by the autonomous recording of a user. Each home device has a unique reference information. It may be stored in the database in the form of a hash table, i.e. a hash table.
Optionally, the device may configure, in advance, reference information corresponding to each home device in a mapping relationship table according to a safety standard of the home appliance.
The household appliance standard is formulated for ensuring personal safety and use environment not to be damaged, and the design and manufacture of the household appliance should ensure safe and reliable operation in normal use, and even if misoperation possibly occurs in use, the household appliance cannot cause harm to users and surrounding environment. The national safety requirements of common electric appliances are divided into five major classes of class 0, class 01, class I, class II and class III, and the international safety standard IEC 60335 of the household appliances can be specifically referred.
In the present disclosure, different reference information, i.e., safety indexes, may be set in advance according to home appliances of different safety requirements. It will be appreciated that the higher the safety index, the greater the harm to the user and the surrounding environment caused by a malfunction that indicates the safety of the household device.
Or the device can also configure the reference information corresponding to any household equipment in the mapping relation table as target reference information when the type of any household equipment accords with one of preset types, wherein the preset types comprise an anti-theft alarm type, an electric lock access control type, a monitoring type and an environment monitoring type.
The preset type home appliances are home appliances that play a very important role in ensuring the safety of the home, such as an anti-theft alarm type home appliance, an electric lock access type home appliance, a monitoring type home appliance, and an environmental monitoring type home appliance. If the user is not triggered little, the household appliance is closed, which may cause great harm to the safety of the household, for example, the household appliance of the environment monitoring type can monitor whether flame, water flow, gas leakage or unknown animals exist or whether strangers enter the household, so that the household safety is guaranteed. The anti-theft alarm, the electric lock access control and the monitoring type are the same, and the anti-theft alarm, the electric lock access control and the monitoring type play a very important role in protecting the safety of households, so that the anti-theft alarm, the electric lock access control and the monitoring type can be determined as household equipment of a preset type in advance for the equipment.
Therefore, if the type of any home equipment is one of the preset types of home equipment, the corresponding target reference information can be determined for the home equipment.
The target reference information may be reference information of the security index in a designated security index interval. And the power consumption note included in the target reference information is explained as: sensitive to the security attribute of the home, and has certain unsafe property if the home is closed for a long time.
In embodiments of the present disclosure, the security index interval is specified to be [90-100].
And step 103, determining a target trigger level corresponding to each household device according to the energy consumption data, the use times and the reference information of each household device.
The target trigger level is the trigger level to which any home device belongs.
Optionally, the device may normalize the energy consumption data, the number of times of use, and the security index included in the reference information, so that the energy consumption data, the number of times of use, and the reference information may be in the same order, that is, dimensionless data.
For example, the triggering factor E may be calculated based on the following formula, where a represents a scalar normalized by the energy consumption data, B represents a scalar normalized by the number of times of use, and C represents a scalar normalized by the reference information:
e=k1×a+k2×1-B) +k3×c, where k1, k2, k3 are weights corresponding to the energy consumption data, the number of times of use, and the reference information, respectively, where k1+k2+k3=1. A. B, C are all values between [0,1 ].
Further, the target trigger level corresponding to each home device may be calculated according to the interval where the trigger factor E corresponding to each home device is located.
For example, if E is in the range of [0,1], it is possible to use [0,0.25 ] as the first stage, [0.25, 0.5) as the second stage, [0.5, 0.75) as the third stage, and [0.75,1] as the fourth stage, which is not limited herein. If the trigger factor E corresponding to any home device is calculated to be 0.8, the corresponding target trigger level is four.
Step 104, configuring the working parameters corresponding to each household device based on the target trigger level.
In the embodiment of the disclosure, the triggering parameters corresponding to the triggering conditions corresponding to the home devices with different triggering levels are different.
The working parameters mainly include parameters of an on trigger condition, an off trigger condition and a special mode trigger condition, which are not limited herein.
The on triggering condition and the off triggering condition may be classified into a plurality of levels, for example, if the home device is controlled by touch clicking, the touch force needs to be classified.
For example, the touch pressure may be divided into a plurality of sections, if the touch pressure is small, the touch may be a false touch, and if the touch pressure is large, the touch may be a false touch, so that the description is a reasonable trigger only in the case of the designated section. For the household equipment with higher target trigger level, the corresponding trigger pressure is required to be positioned in the designated interval, and for the household equipment with lower target trigger level, the household equipment is not required.
For example, if the target trigger level of any home device is four and the four level is the highest, the trigger condition of the user when controlling the home device is highest, for example, voice control, face recognition, identity confirmation, and touch control need to be performed at the same time, and the home device can be used, which is not limited herein.
And different standards can be provided for voice control and touch control, so that the home appliance with a higher target trigger level needs to meet the voice control condition and the touch control condition of the high standard, such as a wake-up word with a specified word number or a part of keys designated by touch control, according to the target trigger level corresponding to the home appliance.
For example, if the target trigger level is four, 4 specified instruction words or wake-up words are required to be spoken, and if the target trigger level is two, only 2 specified instruction words or wake-up words are required to be spoken.
In the embodiment of the disclosure, firstly, energy consumption data and usage times of each household device in a specified period are obtained, then, reference information corresponding to each household device is obtained from a mapping relation table, the reference information comprises a safety index marked by a user on any household device in advance, then, a target trigger level corresponding to each household device is determined according to the energy consumption data, the usage times and the reference information of each household device, and finally, working parameters corresponding to each household device are configured based on the target trigger level. Therefore, when the household equipment is triggered, the influence of the household equipment on the household safety can be considered, the triggering level is determined according to the energy consumption data and the use times, so that the household equipment with higher energy consumption and the household equipment with lower use times need higher triggering conditions, namely the household equipment with higher triggering level needs to be subjected to more legal verification, the household equipment with higher energy consumption is prevented from being triggered by mistake, the equipment with lower use times is prevented from being triggered by mistake, and the household equipment with higher importance on the household safety is prevented from being triggered by mistake to be closed. Therefore, personalized triggering conditions can be set for each household appliance according to different conditions of the household appliance, the safety of the household appliance is improved, and the energy consumption caused by false triggering is effectively reduced.
Fig. 2 is a schematic flow chart of a home device control method based on artificial intelligence according to an embodiment of the disclosure.
As shown in fig. 2, the method for controlling home equipment based on artificial intelligence may include the following steps:
Step 201, obtaining energy consumption data and using times of each household device in a specified period.
It should be noted that, the specific implementation manner of step 201 may refer to the above embodiment, and will not be described herein.
Step 202, in response to determining that any home equipment is started for the first time, displaying prompt information to a user using the any home equipment in a target display screen so as to prompt the user to enter a security index corresponding to the any home equipment, wherein the prompt information comprises a plurality of candidate security indexes to be selected corresponding to the any home equipment.
The target display screen is a total display screen of the household appliance central total control equipment.
It should be noted that, when the user uses the home device for the first time, the device will display the prompt information of the home device in the display screen, so that the user can enter his security index. I.e. the security index may be user-defined.
It will be appreciated that the apparatus may display the candidate security index for the home appliance for selection by the user when the user first uses the home appliance. The candidate safety indexes can enable a user to define whether misoperation of the household appliance can bring harm to the user according to the characteristics of the user, so that a proper candidate safety index is selected to serve as a corresponding safety index in the reference information of the household equipment. Therefore, the method and the device can be more in line with the characteristics of the user, are more personalized, and add the consideration of the self factors of the user on the safety.
Step 203, obtaining reference information corresponding to each home device from the mapping relation table, where the reference information includes a security index marked by a user on any home device in advance.
It should be noted that, the specific implementation of step 203 may refer to the above embodiments, and will not be described herein.
Step 204, determining a security index corresponding to each home device according to the reference information corresponding to each home device.
The reference information of the home equipment comprises a security index corresponding to the home equipment.
As an example, the security index interval may be [0-100].
Step 205, determining a first trigger level corresponding to each home device according to the security index corresponding to each home device.
Optionally, when the security index of any home device is in a preset first security index interval, determining that the first trigger level of any home device is first level, when the security index of any home device is in a preset second security index interval, determining that the first trigger level of any home device is second level, and when the security index of any home device is in a preset third security index interval, determining that the first trigger level of any home device is third level, wherein the security index in the third security index interval is higher than the security index in the second security index interval, and the security index in the second security index interval is higher than the security index in the first security index interval.
The first trigger level may be used to characterize misoperation of the home device, which may cause harm to a user and surrounding environment. If misoperation on one household device causes great harm to an operator or the environment, the corresponding first trigger level is higher.
For example, as one example, the security index interval may be [0-100], where [0-33] may be the first security index interval, (33-66) may be the second security index interval, and [66-100] may be the third security index interval.
For example, if the security index of the home device a is 30, the first trigger level of the home device a is one level, if the security index of the home device B is 60, the first trigger level of the home device B is two levels, and if the security index of the home device C is 90, the first trigger level of the home device C is three levels, which is not limited herein.
Step 206, determining average use energy consumption of each household device according to the energy consumption data and the use times corresponding to each household device.
Wherein the average usage energy consumption may be the energy consumption consumed per usage.
For example, if the energy consumption data of any home device is 60kwh, the number of times of use is 3, and the average energy consumption is 20kwh, which is not limited herein.
Step 207, determining a second trigger level corresponding to each home device according to the average usage energy consumption and the usage times corresponding to each home device.
The second triggering level is used for representing that the false triggering or the false operation of household equipment may cause great electric energy loss, for example, an air conditioner which is opened a certain room carelessly forgets to turn off, an electric watering device which is opened a garden not small enough, and the like, which are not limited herein. The higher the second trigger level, the more serious the false operation or false trigger result is indicated.
Optionally, when the number of times of use of any home device is greater than a preset number of times threshold, and the average energy consumption of use corresponding to any home device is less than a preset energy consumption threshold, determining that the second trigger level of any home device is a first level. Thus, the second trigger level may be set somewhat lower, since it is very frequent and uses little energy.
Optionally, when the number of times of use of any home device is smaller than or equal to a preset number of times of use threshold, or the average energy consumption of use corresponding to any home device is larger than or equal to a preset energy consumption threshold, determining that the second trigger level of any home device is three-level. The second trigger level may be set somewhat higher since very little use is made and the energy consumption is very high.
Optionally, when the number of times of use of any home device is smaller than or equal to a preset number of times of use threshold, and the average energy consumption of use corresponding to any home device is greater than a preset energy consumption threshold, determining that the second trigger level of any home device is two-level.
Optionally, when the number of times of use of any home device is greater than a preset number of times threshold, and the average energy consumption of use corresponding to any home device is less than or equal to the preset energy consumption threshold, determining that the second trigger level of any home device is two-level.
The preset usage number threshold and the preset energy consumption threshold may be set according to actual experience, and are not limited herein.
If the number of times of use is lower than the preset number of times of use threshold, the number of times of use is very small, and if the average energy consumption of use is greater than the preset energy consumption threshold, the energy consumption of each time of use is very large.
If the number of times of use is small, it should be noted whether the touch is false, so that the touch is open, the triggering difficulty is increased, and if the average energy consumption is large, it should be noted whether the touch is false, so that the energy consumption is not great.
Step 208, calculating a target trigger level corresponding to each home device according to the first trigger level and the second trigger level.
As a first way, the first trigger level and the second trigger level are added, so that a target trigger level corresponding to each home device can be calculated.
Wherein the first trigger level has 3 stages, and the second trigger level has 3 stages, so that the interval of the added target trigger levels is [ stage 2-stage 6 ]. I.e. the sum of the levels obtained after addition is level 2, level 3, level 4, level 5, level 6. The target trigger class can thus be divided into 5 classes.
It should be noted that, the higher the target trigger level is, the greater the difficulty of triggering is, and the more complex and strict the procedure is, so that the false triggering or false input can be ensured, and serious consequences are avoided.
As a second way, if the first trigger level is three levels, or the second trigger level is three levels, the target trigger level may be determined as the highest level, that is, if one of the first trigger level or the second trigger level is the highest level, the target trigger level may be determined as the highest level.
If the first trigger level is two-level and the second trigger level is two-level, the target trigger level may also be determined to be the next highest level. If the first trigger level is one level and the second trigger level is also one level, the target trigger level may also be determined to be a low level.
If the first trigger level is one level and the second trigger level is two levels, or if the first trigger level is two levels and the second trigger level is one level, the target trigger level may be determined to be a middle level.
Thus, the target trigger level can be classified into four types of low, medium, next highest, and highest.
That is, if the first trigger level and the second trigger level are both lowest, the target trigger level is lowest, if the first trigger level and the second trigger level are both second, the target trigger level is next highest, and if one of the first trigger level and the second trigger level is third, it can be determined as highest.
Step 209, configuring working parameters corresponding to each home device based on the target trigger level.
It should be noted that, the specific implementation manner of step 209 may refer to the above embodiment, and will not be described herein.
In summary, three factors including the use times, the energy consumption and the safety index are comprehensively considered, so that the household equipment with the small use times, the large energy consumption and the large safety index has a higher trigger level and is not easy to trigger, namely, when a user triggers or operates, the household equipment can be controlled only through stricter verification, unnecessary energy consumption caused by false triggering and false operation is reduced, and the household safety is improved.
Fig. 3 is a block diagram of a home appliance control device based on artificial intelligence according to an embodiment of the present disclosure.
As shown in fig. 3, the artificial intelligence-based home appliance control apparatus 300 may include:
a first obtaining module 310, configured to obtain energy consumption data and usage times of each home device in a specified period;
The second obtaining module 320 is configured to obtain, from the mapping relationship table, reference information corresponding to each home device, where the reference information includes a security index that a user marks any home device in advance;
a determining module 330, configured to determine a target trigger level corresponding to each home device according to the energy consumption data, the usage number and the reference information of each home device;
The configuration module 340 is configured to configure the working parameters corresponding to each of the home devices based on the target trigger level.
Optionally, the second obtaining module is further configured to:
Configuring reference information corresponding to each household device in a mapping relation table according to the safety standard of the household appliance;
Or alternatively
In response to determining that any household equipment is started for the first time, displaying prompt information to a user using the any household equipment in a target display screen so as to prompt the user to input a safety index corresponding to the any household equipment, wherein the prompt information comprises a plurality of candidate safety indexes to be selected corresponding to the any household equipment;
Or alternatively
When the type of any household equipment accords with one of preset types, configuring the reference information corresponding to the any household equipment in a mapping relation table as target reference information, wherein the preset types comprise an anti-theft alarm type, an electric lock access type, a monitoring type and an environment monitoring type.
Optionally, the determining module includes:
The first determining unit is used for determining the corresponding safety index of each household device according to the corresponding reference information of each household device;
The second determining unit is used for determining a first trigger level corresponding to each household device according to the corresponding safety index of each household device;
the third determining unit is used for determining average use energy consumption of each household device according to the energy consumption data and the use times corresponding to each household device;
a fourth determining unit, configured to determine a second trigger level corresponding to each home device according to an average usage energy consumption and the usage number corresponding to each home device;
and the calculating unit is used for calculating the target trigger level corresponding to each household device according to the first trigger level and the second trigger level.
Optionally, the fourth determining unit is specifically configured to:
When the using times of any household device are larger than a preset using times threshold value and the average using energy consumption corresponding to the any household device is smaller than the preset energy consumption threshold value, determining a second triggering level of the any household device as a first level;
Or alternatively
When the using times of any household device is smaller than or equal to a preset using times threshold value or the average using energy consumption corresponding to any household device is larger than or equal to a preset energy consumption threshold value, determining that a second triggering level of any household device is three-level;
Or alternatively
When the using times of any household device are smaller than or equal to a preset using times threshold value and the average using energy consumption corresponding to any household device is larger than the preset energy consumption threshold value, determining that a second triggering level of any household device is two-level;
Or alternatively
And when the using times of any household equipment are larger than a preset using times threshold value and the average using energy consumption corresponding to any household equipment is smaller than or equal to the preset energy consumption threshold value, determining that the second triggering level of any household equipment is two-level.
Optionally, the second determining unit is specifically configured to:
When the safety index of any household device is in a preset first safety index interval, determining a first trigger level of any household device as a first level;
when the safety index of any household device is in a preset second safety index interval, determining that the first trigger level of any household device is a second level;
When the safety index of any household equipment is in a preset third safety index interval, determining that the first trigger level of any household equipment is three-level,
Wherein the safety index in the third safety index section is higher than the safety index in the second safety index section, and the safety index in the second safety index section is higher than the safety index in the first safety index section.
In the embodiment of the disclosure, firstly, energy consumption data and usage times of each household device in a specified period are obtained, then, reference information corresponding to each household device is obtained from a mapping relation table, the reference information comprises a safety index marked by a user on any household device in advance, then, a target trigger level corresponding to each household device is determined according to the energy consumption data, the usage times and the reference information of each household device, and finally, working parameters corresponding to each household device are configured based on the target trigger level. Therefore, when the household equipment is triggered, the influence of the household equipment on the household safety can be considered, the triggering level is determined according to the energy consumption data and the use times, so that the household equipment with higher energy consumption and the household equipment with lower use times need higher triggering conditions, namely the household equipment with higher triggering level needs to be subjected to more legal verification, the household equipment with higher energy consumption is prevented from being triggered by mistake, the equipment with lower use times is prevented from being triggered by mistake, and the household equipment with higher importance on the household safety is prevented from being triggered by mistake to be closed. Therefore, personalized triggering conditions can be set for each household appliance according to different conditions of the household appliance, the safety of the household appliance is improved, and the energy consumption caused by false triggering is effectively reduced.
Fig. 4 illustrates a schematic block diagram of an example electronic device 400 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 4, the apparatus 400 includes a computing unit 401 that can perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 402 or a computer program loaded from a storage unit 408 into a Random Access Memory (RAM) 403. In RAM 403, various programs and data required for the operation of device 400 may also be stored. The computing unit 401, ROM 402, and RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Various components in device 400 are connected to I/O interface 405, including: an input unit 406 such as a keyboard, a mouse, etc.; an output unit 407 such as various types of displays, speakers, and the like; a storage unit 408, such as a magnetic disk, optical disk, etc.; and a communication unit 404 such as a network card, modem, wireless communication transceiver, etc. The communication unit 404 allows the device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks.
The computing unit 401 may be a variety of general purpose and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as an artificial intelligence based home device control method. For example, in some embodiments, the artificial intelligence-based household device control method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 408. In some embodiments, some or all of the computer program may be loaded and/or installed onto device 400 via ROM 402 and/or communication unit 404. When the computer program is loaded into RAM 403 and executed by computing unit 401, one or more steps of the artificial intelligence-based household device control method described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the artificial intelligence based home device control method by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), the internet, and blockchain networks.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service ("Virtual PRIVATE SERVER" or simply "VPS") are overcome. The server may also be a server of a distributed system or a server that incorporates a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims (9)

1. The household equipment control method based on the artificial intelligence is characterized by comprising the following steps of:
acquiring energy consumption data and using times of each household device in a specified period;
acquiring reference information corresponding to each household device from a mapping relation table, wherein the reference information comprises a security index of a user for marking any household device in advance;
determining a target trigger level corresponding to each household device according to the energy consumption data, the use times and the reference information of each household device;
Configuring working parameters corresponding to each household device based on the target trigger level, wherein the working parameters comprise parameters of an opening trigger condition, a closing trigger condition and a special mode trigger condition, and the opening trigger condition and the closing trigger condition comprise touch clicks;
the determining, according to the energy consumption data, the usage times and the reference information of each home device, a target trigger level corresponding to each home device includes:
determining a safety index corresponding to each household device according to the reference information corresponding to each household device;
determining a first trigger level corresponding to each household device according to the corresponding safety index of each household device;
determining average use energy consumption of each household device according to the energy consumption data and the use times corresponding to each household device;
determining a second trigger level corresponding to each household device according to the average use energy consumption and the use times corresponding to each household device;
and calculating a target trigger level corresponding to each household device according to the first trigger level and the second trigger level.
2. The method according to claim 1, further comprising, before the obtaining the reference information corresponding to each home device from the mapping table:
Configuring reference information corresponding to each household device in a mapping relation table according to the safety standard of the household appliance;
Or alternatively
In response to determining that any household equipment is started for the first time, displaying prompt information to a user using the any household equipment in a target display screen so as to prompt the user to input a safety index corresponding to the any household equipment, wherein the prompt information comprises a plurality of candidate safety indexes to be selected corresponding to the any household equipment;
Or alternatively
When the type of any household equipment accords with one of preset types, configuring the reference information corresponding to the any household equipment in a mapping relation table as target reference information, wherein the preset types comprise an anti-theft alarm type, an electric lock access type, a monitoring type and an environment monitoring type.
3. The method according to claim 1, wherein the determining the second trigger level corresponding to each home device according to the average usage energy consumption and the usage number corresponding to each home device includes:
When the using times of any household device are larger than a preset using times threshold value and the average using energy consumption corresponding to the any household device is smaller than the preset energy consumption threshold value, determining a second triggering level of the any household device as a first level;
Or alternatively
When the using times of any household device is smaller than or equal to a preset using times threshold value or the average using energy consumption corresponding to any household device is larger than or equal to a preset energy consumption threshold value, determining that a second triggering level of any household device is three-level;
Or alternatively
When the using times of any household device are smaller than or equal to a preset using times threshold value and the average using energy consumption corresponding to any household device is larger than the preset energy consumption threshold value, determining that a second triggering level of any household device is two-level;
Or alternatively
And when the using times of any household equipment are larger than a preset using times threshold value and the average using energy consumption corresponding to any household equipment is smaller than or equal to the preset energy consumption threshold value, determining that the second triggering level of any household equipment is two-level.
4. The method according to claim 1, wherein the determining the first trigger level corresponding to each home device according to the security index corresponding to each home device includes:
When the safety index of any household device is in a preset first safety index interval, determining a first trigger level of any household device as a first level;
when the safety index of any household device is in a preset second safety index interval, determining that the first trigger level of any household device is a second level;
When the safety index of any household equipment is in a preset third safety index interval, determining that the first trigger level of any household equipment is three-level,
Wherein the safety index in the third safety index section is higher than the safety index in the second safety index section, and the safety index in the second safety index section is higher than the safety index in the first safety index section.
5. A home appliance control device based on artificial intelligence for implementing the method of any one of claims 1-4, comprising:
The first acquisition module is used for acquiring the energy consumption data and the use times of each household device in a specified period;
The second acquisition module is used for acquiring reference information corresponding to each household device from the mapping relation table, wherein the reference information comprises a security index marked by a user on any household device in advance;
The determining module is used for determining a target trigger level corresponding to each household device according to the energy consumption data, the using times and the reference information of each household device;
And the configuration module is used for configuring the corresponding working parameters of each household device based on the target trigger level.
6. The apparatus of claim 5, wherein the second acquisition module is further configured to:
Configuring reference information corresponding to each household device in a mapping relation table according to the safety standard of the household appliance;
Or alternatively
In response to determining that any household equipment is started for the first time, displaying prompt information to a user using the any household equipment in a target display screen so as to prompt the user to input a safety index corresponding to the any household equipment, wherein the prompt information comprises a plurality of candidate safety indexes to be selected corresponding to the any household equipment;
Or alternatively
When the type of any household equipment accords with one of preset types, configuring the reference information corresponding to the any household equipment in a mapping relation table as target reference information, wherein the preset types comprise an anti-theft alarm type, an electric lock access type, a monitoring type and an environment monitoring type.
7. The apparatus of claim 5, wherein the determining module comprises:
The first determining unit is used for determining the corresponding safety index of each household device according to the corresponding reference information of each household device;
The second determining unit is used for determining a first trigger level corresponding to each household device according to the corresponding safety index of each household device;
the third determining unit is used for determining average use energy consumption of each household device according to the energy consumption data and the use times corresponding to each household device;
a fourth determining unit, configured to determine a second trigger level corresponding to each home device according to an average usage energy consumption and the usage number corresponding to each home device;
and the calculating unit is used for calculating the target trigger level corresponding to each household device according to the first trigger level and the second trigger level.
8. The apparatus according to claim 5, wherein the fourth determining unit is specifically configured to:
When the using times of any household device are larger than a preset using times threshold value and the average using energy consumption corresponding to the any household device is smaller than the preset energy consumption threshold value, determining a second triggering level of the any household device as a first level;
Or alternatively
When the using times of any household device is smaller than or equal to a preset using times threshold value or the average using energy consumption corresponding to any household device is larger than or equal to a preset energy consumption threshold value, determining that a second triggering level of any household device is three-level;
Or alternatively
When the using times of any household device are smaller than or equal to a preset using times threshold value and the average using energy consumption corresponding to any household device is larger than the preset energy consumption threshold value, determining that a second triggering level of any household device is two-level;
Or alternatively
And when the using times of any household equipment are larger than a preset using times threshold value and the average using energy consumption corresponding to any household equipment is smaller than or equal to the preset energy consumption threshold value, determining that the second triggering level of any household equipment is two-level.
9. The apparatus according to claim 5, wherein the second determining unit is specifically configured to:
When the safety index of any household device is in a preset first safety index interval, determining a first trigger level of any household device as a first level;
when the safety index of any household device is in a preset second safety index interval, determining that the first trigger level of any household device is a second level;
When the safety index of any household equipment is in a preset third safety index interval, determining that the first trigger level of any household equipment is three-level,
Wherein the safety index in the third safety index section is higher than the safety index in the second safety index section, and the safety index in the second safety index section is higher than the safety index in the first safety index section.
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