阅读说明：本技术 设备运行控制方法、装置、设备及存储介质 (Equipment operation control method, device, equipment and storage medium ) 是由 岳冬 王玉宾 陈翀 罗晓宇 于 2021-09-03 设计创作，主要内容包括：本申请涉及一种设备运行控制方法、装置、设备及存储介质,涉及智能设备控制技术领域。该设备运行控制方法包括：获取预设时间段内的各个智能设备的运行参数,运行参数包括各个智能设备在各个时间段的运行次数,各个时间段属于预设时间段；根据运行参数,获得用户使用习惯参数；根据用户使用习惯参数,在目标时间段内控制目标智能设备运行,其中,目标时间段属于各个时间段。本申请用以解决家电设备的运行依赖用户主动操作,不够智能的问题。(The application relates to a method, a device, equipment and a storage medium for controlling equipment operation, and relates to the technical field of intelligent equipment control. The equipment operation control method comprises the following steps: acquiring operation parameters of each intelligent device in a preset time period, wherein the operation parameters comprise the operation times of each intelligent device in each time period, and each time period belongs to the preset time period; obtaining a user use habit parameter according to the operation parameter; and controlling the target intelligent equipment to operate in a target time period according to the use habit parameters of the user, wherein the target time period belongs to each time period. The method and the device are used for solving the problem that the running of the household appliance depends on the active operation of a user and is not intelligent enough.)

1. An apparatus operation control method characterized by comprising:

acquiring operation parameters of each intelligent device in a preset time period, wherein the operation parameters comprise the operation times of each intelligent device in each time period, and each time period belongs to the preset time period;

obtaining a user use habit parameter according to the operation parameter;

and controlling the target intelligent equipment to operate in a target time period according to the user use habit parameters, wherein the target time period belongs to each time period.

2. The device operation control method according to claim 1, wherein the user usage habit parameters include a support degree and a confidence degree of the operation of each smart device in each time period;

controlling the target intelligent equipment to operate in a target time period according to the user use habit parameters, and the method comprises the following steps:

and executing the following processes for the support degree and the confidence degree of any intelligent device in any time period:

comparing the support degree with a minimum support degree threshold value;

comparing the confidence level to a minimum confidence level threshold;

if the support degree is greater than the minimum support degree threshold value and the confidence degree is greater than the minimum confidence degree threshold value, taking any intelligent device as the target intelligent device, taking any time period as the target time period, and controlling the target intelligent device to operate in the target time period.

3. The device operation control method according to claim 1, wherein the obtaining of the operation parameter of each intelligent device within the preset time period includes:

acquiring power consumption change parameters of each intelligent device in each time period;

performing the following for any of said time periods:

screening intelligent equipment with unchanged power consumption as first intelligent equipment according to the power consumption change parameter, and controlling the operation times of the first intelligent equipment to be unchanged;

and screening the intelligent equipment with the increased power consumption according to the power consumption change parameter to serve as second intelligent equipment, and controlling the operation times of the second intelligent equipment to increase a preset value.

4. The device operation control method according to claim 2, wherein the obtaining of the user usage habit parameter according to the operation parameter comprises:

the support degree and the confidence degree of the operation of any intelligent device in any time period are obtained according to the following procedures:

according to the operation parameters, obtaining the total operation times of any intelligent device in the preset time period and the first operation times of any intelligent device in at least two time periods, wherein the at least two time periods comprise any time period, and obtaining the second operation times of any intelligent device in the time periods except any time period in the at least two time periods;

calculating a first ratio of the first operation times to the total operation times, and taking the first ratio as the support degree of the operation of any intelligent equipment in any time period;

and calculating a second ratio of the first operation times to the second operation times, and taking the second ratio as the confidence degree of the operation of any intelligent equipment in any time period.

5. The device operation control method according to claim 2, wherein the obtaining of the user usage habit parameter according to the operation parameter comprises:

performing the following for any of said time periods:

according to the operation parameters, obtaining the sum of the total operation times of each intelligent device in the preset time period as a third operation time, and obtaining a fourth operation time corresponding to any time period; the fourth operation frequency is the frequency of the third intelligent device operating in any time period and the fourth intelligent device operating in the time period adjacent to the any time period; acquiring the running times of the fourth intelligent device in the time period adjacent to the any time period as a fifth running time;

calculating a third ratio of the fourth operation times to the third operation times, and taking the third ratio as the support degree of the third intelligent device in operation in any time period;

and calculating a fourth ratio of the fourth operation times to the fifth operation times, and taking the fourth ratio as the confidence degree of the third intelligent device in the operation in any time period.

6. The plant operation control method according to claim 2, characterized by further comprising:

acquiring user parameters for using each intelligent device;

acquiring the minimum support threshold according to the first mapping relation between the user parameters and the minimum support threshold;

and acquiring the minimum confidence coefficient threshold according to the second mapping relation between the user parameters and the minimum confidence coefficient threshold.

7. The device operation control method according to claim 1, wherein the controlling of the operation of the target smart device within the target time period according to the user usage habit parameter comprises:

acquiring a historical operating mode of the target intelligent equipment;

and controlling the target intelligent equipment to operate according to the historical operation mode in the target time period.

8. An apparatus operation control device, characterized by comprising:

the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring operation parameters of each intelligent device in a preset time period, the operation parameters comprise the operation times of each intelligent device in each time period, and each time period belongs to the preset time period;

the second acquisition module is used for acquiring the user use habit parameters according to the operation parameters;

and the processing module is used for controlling the target intelligent equipment to operate in a target time period according to the user use habit parameters, wherein the target time period belongs to each time period.

9. An electronic device, comprising: the system comprises a processor, a memory and a communication bus, wherein the processor and the memory are communicated with each other through the communication bus;

the memory for storing a computer program;

the processor is configured to execute the program stored in the memory to implement the apparatus operation control method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the apparatus operation control method according to any one of claims 1 to 7.

Technical Field

The present application relates to the field of intelligent device control technologies, and in particular, to a device operation control method, apparatus, device, and storage medium.

Background

Today, internet of things manufacturers have finished how to remotely check and operate household appliances through terminal devices, and preliminary intellectualization of user life is realized. However, this still requires the user to actively operate the home appliance to control the home appliance, and there is room for improvement.

Disclosure of Invention

The application provides a device operation control method, a device, equipment and a storage medium, which are used for solving the problem that the operation of household appliances depends on the active operation of a user and is not intelligent enough.

In a first aspect, an embodiment of the present application provides an apparatus operation control method, including:

acquiring operation parameters of each intelligent device in a preset time period, wherein the operation parameters comprise the operation times of each intelligent device in each time period, and each time period belongs to the preset time period;

obtaining a user use habit parameter according to the operation parameter;

and controlling the target intelligent equipment to operate in a target time period according to the user use habit parameters, wherein the target time period belongs to each time period.

Optionally, the user usage habit parameters include support and confidence of operation of each smart device in each time period;

controlling the target intelligent equipment to operate in a target time period according to the user use habit parameters, and the method comprises the following steps:

and executing the following processes for the support degree and the confidence degree of any intelligent device in any time period:

comparing the support degree with a minimum support degree threshold value;

comparing the confidence level to a minimum confidence level threshold;

if the support degree is greater than the minimum support degree threshold value and the confidence degree is greater than the minimum confidence degree threshold value, taking any intelligent device as the target intelligent device, taking any time period as the target time period, and controlling the target intelligent device to operate in the target time period.

Optionally, the obtaining of the operation parameters of each intelligent device in the preset time period includes:

acquiring power consumption change parameters of each intelligent device in each time period;

performing the following for any of said time periods:

screening intelligent equipment with unchanged power consumption as first intelligent equipment according to the power consumption change parameter, and controlling the operation times of the first intelligent equipment to be unchanged;

and screening the intelligent equipment with the increased power consumption according to the power consumption change parameter to serve as second intelligent equipment, and controlling the operation times of the second intelligent equipment to increase a preset value.

Optionally, the obtaining a user usage habit parameter according to the operation parameter includes:

the support degree and the confidence degree of the operation of any intelligent device in any time period are obtained according to the following procedures:

according to the operation parameters, obtaining the total operation times of any intelligent device in the preset time period and the first operation times of any intelligent device in at least two time periods, wherein the at least two time periods comprise any time period, and obtaining the second operation times of any intelligent device in the time periods except any time period in the at least two time periods;

calculating a first ratio of the first operation times to the total operation times, and taking the first ratio as the support degree of the operation of any intelligent equipment in any time period;

and calculating a second ratio of the first operation times to the second operation times, and taking the second ratio as the confidence degree of the operation of any intelligent equipment in any time period.

Optionally, the obtaining a user usage habit parameter according to the operation parameter includes:

performing the following for any of said time periods:

according to the operation parameters, obtaining the sum of the total operation times of each intelligent device in the preset time period as a third operation time, and obtaining a fourth operation time corresponding to any time period; the fourth operation frequency is the frequency of the third intelligent device operating in any time period and the fourth intelligent device operating in the time period adjacent to the any time period; acquiring the running times of the fourth intelligent device in the time period adjacent to the any time period as a fifth running time;

calculating a third ratio of the fourth operation times to the third operation times, and taking the third ratio as the support degree of the third intelligent device in operation in any time period;

and calculating a fourth ratio of the fourth operation times to the fifth operation times, and taking the fourth ratio as the confidence degree of the third intelligent device in the operation in any time period.

Optionally, the method further comprises:

acquiring user parameters for using each intelligent device;

acquiring the minimum support threshold according to the first mapping relation between the user parameters and the minimum support threshold;

and acquiring the minimum confidence coefficient threshold according to the second mapping relation between the user parameters and the minimum confidence coefficient threshold.

Optionally, the controlling, according to the user usage habit parameter, the target smart device to operate in a target time period includes:

acquiring a historical operating mode of the target intelligent equipment;

and controlling the target intelligent equipment to operate according to the historical operation mode in the target time period.

In a second aspect, an embodiment of the present application provides an apparatus operation control device, including:

the system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring operation parameters of each intelligent device in a preset time period, the operation parameters comprise the operation times of each intelligent device in each time period, and each time period belongs to the preset time period;

the second acquisition module is used for acquiring the user use habit parameters according to the operation parameters;

and the processing module is used for controlling the target intelligent equipment to operate in a target time period according to the user use habit parameters, wherein the target time period belongs to each time period. In a third aspect, an embodiment of the present application provides an electronic device, including: the system comprises a processor, a memory and a communication bus, wherein the processor and the memory are communicated with each other through the communication bus;

the memory for storing a computer program;

the processor is configured to execute the program stored in the memory, and implement the device operation control method according to the first aspect.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the apparatus operation control method according to the first aspect.

Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages: the method provided by the embodiment of the application obtains the operation parameters of each intelligent device in the preset time period, wherein the operation parameters comprise the operation times of each intelligent device in each time period, each time period belongs to the preset time period, the user use habit parameters are obtained according to the operation parameters, the target intelligent device is controlled to operate in the target time period according to the user use habit parameters, and the target time period belongs to each time period. For the operation of household electrical appliances among the prior art relies on user's initiative operation, this application is through acquireing the number of times of operation of each smart machine in each time quantum, the habit that the analysis user used each smart machine, obtain user's use habit parameter, and then control the operation of target smart machine in the target time quantum, make the operation of smart machine more accord with user's habit, and do not need user's initiative operation, just can control the operation of target smart machine, promote the intelligent level of smart machine operation, the operation of having solved household electrical appliances relies on user's initiative operation, problem not intelligent enough.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.

FIG. 1 is a schematic flow chart of an apparatus operation control method according to an embodiment of the present application;

FIG. 2 is a schematic flow chart illustrating a method for obtaining support and confidence in an embodiment of the present application;

FIG. 3 is a schematic flow chart illustrating a method for obtaining support and confidence in an embodiment of the present application;

FIG. 4 is a flowchart illustrating a method for controlling the operation of a target smart device within a target time period according to a user usage habit parameter in an embodiment of the present application;

FIG. 5 is a schematic flow chart illustrating a method for controlling the operation of a device according to an embodiment of the present application;

FIG. 6 is a schematic structural diagram of an apparatus operation control device according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of an electronic device in an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In the embodiment of the present application, an apparatus operation control method is provided, and the method may be applied to a server, and of course, may also be applied to other electronic apparatuses, such as a terminal (a mobile phone, a tablet computer, and the like). In the embodiment of the present application, the method is described as being applied to a server.

In the embodiment of the present application, as shown in fig. 1, a method flow of device operation control mainly includes:

step 101, obtaining operation parameters of each intelligent device in a preset time period, wherein the operation parameters comprise operation times of each intelligent device in each time period, and each time period belongs to the preset time period.

The preset time period may be 1 month, 3 months or 1 year. Each intelligent device can be intelligent equipment such as intelligent sound equipment, intelligent air conditioner, intelligent refrigerator, intelligent TV set, intelligent lampblack absorber, intelligent washing machine, intelligent photo holder frame, intelligent wardrobe, router. Each time period may be each time period into which 1 day is divided, may be each time period into which 1 day is divided evenly, or may be each time period into which 1 day is divided unevenly, for example, each time period may be [00:00-4:00 ], [4:00-8:00 ], [8:00-12:00 ], [12:00-16:00 ], [16:00-20:00 ], [20:00-24:00 ], each time period may also be [00:00-8:00 ], [8:00-10:00 ], [10:00-12:00 ], [12:00-16:00 ], [16:00-18:00 ], [18:00-22:00 ], [22:00-24:00 ], each time period may also be each time period into which 1 week is divided, may be each time period into which 1 week is divided evenly, the respective time periods may be divided unevenly for 1 week.

The operation parameters include the number of operations of each smart device in each time period, for example: the preset time period is 1 month, the operation times of the intelligent washing machine in the range of 12:00-16:00) are 4 times, the operation times of the intelligent washing machine in the range of 18:00-22:00) are 10 times, the operation times of the intelligent air conditioner in the range of 6:00-8:00) are 8 times, and the operation times of the intelligent air conditioner in the range of 19:00-22:00) are 20 times.

In a specific embodiment, the obtaining of the operating parameters of each intelligent device within the preset time period includes: acquiring power consumption change parameters of each intelligent device in each time period; the following process is performed for any time period: screening intelligent equipment with unchanged power consumption as first intelligent equipment according to the power consumption change parameter, and controlling the operation times of the first intelligent equipment to be unchanged; and screening the intelligent equipment with the increased power consumption according to the power consumption change parameter, and controlling the operation times of the second intelligent equipment to increase a preset value as the second intelligent equipment.

Wherein the preset value may be 1.

The power consumption change parameters comprise that the power consumption is kept unchanged and the power consumption is increased, and the power consumption change parameters are acquired through the intelligent electric meter. For example: at [11:00-12:30), the first intelligent device with unchanged power consumption is a bedroom air conditioner, the first intelligent device indicates that the bedroom air conditioner does not operate in the time period of [11:00-12:30), the operation frequency of the bedroom air conditioner at [11:00-12:30) is controlled to be unchanged, at [11:00-12:30), the second intelligent device with increased power consumption is a washing machine, a refrigerator and a living room air conditioner, the power consumption increase can be sudden power consumption increase or stable power consumption increase, the second intelligent device indicates that the washing machine, the refrigerator and the living room air conditioner operate in the time period of [11:00-12:30), and the operation frequency of the washing machine, the refrigerator and the living room air conditioner at [11:00-12:30) is controlled to be increased by 1.

Through the power consumption change parameter, the operation parameter of each intelligent device in the preset time period can be accurately obtained.

In a specific embodiment, the obtaining of the operating parameters of each intelligent device within the preset time period includes: acquiring running states sent by each intelligent device in each time period, wherein the running states comprise running or non-running; and obtaining the running times of each intelligent device in each time period according to the running state.

The running times of each intelligent device in each time period can be calculated through the running state actively uploaded by each intelligent device.

And 102, acquiring a user use habit parameter according to the operation parameter.

In one embodiment, the user usage habit parameters include support and confidence level of each smart device operating in each time period.

The support degree and the confidence degree are terms in an Apriori algorithm (association rule mining algorithm), the support degree refers to the probability of the event a and the event B occurring simultaneously, and the confidence degree refers to the ratio of the probability of the event a and the event B occurring simultaneously to the probability of the event a occurring, that is, the confidence degree refers to the probability of the event B occurring under the condition of the event a occurring, and belongs to the conditional probability. The Apriori algorithm is to mine the association relationship between the event a and the event B.

In order to mine the association relationship of the same intelligent device operating in different time periods, in a specific embodiment, as shown in fig. 2, the support degree and the confidence degree of any intelligent device operating in any time period are obtained according to the following procedures:

step 201, obtaining a total operation frequency of any intelligent device in a preset time period and a first operation frequency of any intelligent device in at least two time periods according to the operation parameters, wherein the at least two time periods include any time period, and obtaining a second operation frequency of any intelligent device in at least two time periods except any time period.

Step 202, calculating a first ratio of the first operation times to the total operation times, and taking the first ratio as the support degree of any intelligent device in any time period.

And 203, calculating a second ratio of the first operation times to the second operation times, and taking the second ratio as the confidence of the operation of any intelligent device in any time period.

For example, the support and confidence for the operation of the bedroom air conditioner at [11:00-12:30) are obtained according to the following process: the total number of times of operation of the bedroom air conditioner within 1 month is obtained as 20 times, the first number of times of operation of the bedroom air conditioner in [11:00-12:30) and [19:00-22:00) is obtained as 4 times, and the second number of times of operation of the bedroom air conditioner in [19:00-22:00) is obtained as 10 times. Calculating a first ratio of the first operation time to the total operation time, wherein the first ratio is 4/20-20%, the support degree of the operation of the bedroom air conditioner at [11:00-12:30) is 20%, namely the probability that the bedroom air conditioner is operated at [11:00-12:30) and [19:00-22:00) is 20%, and the second ratio of the first operation time to the second operation time is 4/10-40%, the confidence coefficient of the operation of the bedroom air conditioner at [11:00-12:30) is 40%, namely the probability of the operation of the bedroom air conditioner at [11:00-12:30) is 40% under the condition that the bedroom air conditioner is operated at [19:00-22: 00).

As another example, the support and confidence for the operation of the bedroom air conditioner at [11:00-12:30) are obtained according to the following process: the total operation times of the bedroom air conditioner in 1 month is obtained to be 20 times, the first operation times of the bedroom air conditioner in [11:00-12:30 ], [14:00-16:00 ]) and [19:00-22:00) are operated to be 4 times, and the second operation times of the bedroom air conditioner in [14:00-16:00 ]) and [19:00-22:00) are obtained to be 10 times. Calculating a first ratio of the first operation time to the total operation time, wherein the first ratio is 4/20-20%, the support degree of the operation of the bedroom air conditioner at [11:00-12:30) is 20%, namely the probability that the bedroom air conditioner operates at [11:00-12:30), [14:00-16:00) and [19:00-22:00) is 20%, the second ratio of the first operation time to the second operation time is 4/10-40%, the confidence coefficient of the operation of the bedroom air conditioner at [11:00-12:30) is 40%, namely the probability that the bedroom air conditioner operates at [11:00-12:30) is 40% under the condition that the bedroom air conditioner operates at [14:00-16:00) and [19:00-22: 00).

The method can be used for mining the incidence relation of the same intelligent equipment in operation in different time periods, analyzing the possibility that the same intelligent equipment operates in any time period under the condition that the same intelligent equipment operates in at least two time periods except any time period, and further determining whether the same intelligent equipment is controlled to operate in any time period, so that the habit of using a single intelligent equipment by a user is better met.

In order to mine the association relationship between different intelligent devices operating in adjacent time periods, in a specific embodiment, as shown in fig. 3, the following process is performed for any time period:

step 301, obtaining the sum of the total operation times of each intelligent device in a preset time period as a third operation time and obtaining a fourth operation time corresponding to any time period according to the operation parameters; the fourth operation frequency is the frequency of the third intelligent device operating in any time period and the fourth intelligent device operating in the adjacent time period of any time period; and acquiring the running times of the fourth intelligent device in any time period adjacent to the time period as a fifth running time.

Step 302, calculating a third ratio of the fourth operation times to the third operation times, and taking the third ratio as a support degree of the third intelligent device in any time period.

Step 303, calculating a fourth ratio of the fourth operation frequency to the fifth operation frequency, and taking the fourth ratio as a confidence degree of the third intelligent device operating in any time period.

For example, for [11:00-12:30) the following process is performed: obtaining the sum of the total operation times of each intelligent device in a home such as a washing machine, a refrigerator, a living room air conditioner and a dryer within 1 month as a third operation time, obtaining that the washing machine operates within 11:00-12:30), and the dryer operates 20 times in the adjacent time period [12:30-14:00 ] of [11:00-12:30), and obtaining that the dryer operates 25 times in the adjacent time period [12:30-14:00 ] of [11:00-12: 30). Calculating a third ratio of the fourth operation number to the third operation number, which is 20/50-40%, the support degree of the washing machine operating at [11:00-12:30) is 40%, that is, the washing machine operating at [11:00-12:30), and the probability of the dryer operating at [12:30-14:00) is 40%, calculating a fourth ratio of the fourth operation number to the fifth operation number, which is 20/25-80%, the confidence of the washing machine operating at [11:00-12:30) is 80%, that is, the probability of the washing machine operating at [11:00-12:30) under the condition that the dryer operates at [12:30-14:00) is 80%.

The incidence relation of the operation of different intelligent devices in the adjacent time periods can be mined, the possibility that the third intelligent device operates in any time period under the condition that the fourth intelligent device operates in any time period in the adjacent time period is analyzed, and then whether the third intelligent device is controlled to operate in any time period is determined, so that the habit of using a plurality of intelligent devices by a user is better met.

And 103, controlling the target intelligent equipment to operate in a target time period according to the use habit parameters of the user, wherein the target time period belongs to each time period.

In a specific embodiment, as shown in fig. 4, controlling the target smart device to operate in the target time period according to the habit parameters of the user includes:

and executing the following processes for the support degree and the confidence degree of any intelligent device in any time period:

step 401, compare the support with the minimum support threshold.

Step 402, the confidence is compared to a minimum confidence threshold.

The minimum support threshold and the minimum confidence threshold may be values set by a user, for example, the minimum support threshold is 30% and the minimum confidence threshold is 70%.

In one embodiment, the method for controlling the operation of the device further includes: acquiring user parameters for using each intelligent device; acquiring a minimum support threshold according to a first mapping relation between the user parameter and the minimum support threshold; and acquiring the minimum confidence coefficient threshold according to the second mapping relation between the user parameters and the minimum confidence coefficient threshold.

Wherein the user parameter includes at least one of a user age and a user gender.

The user parameters of using each intelligent device are obtained, the user parameters input by the user when the user controls each intelligent device through the APP can be obtained, user images can be shot when the user uses each intelligent device, and the user parameters are obtained by identifying the user images. The user parameter includes at least one of the age and the gender of the user, and the user parameter may further include other parameters, and the specific parameters included in the user parameter are not limited herein.

The first mapping relationship between the user parameter and the minimum support threshold may be that when the user parameter is old, the minimum support threshold is 40%, and when the user parameter is middle aged, the minimum support threshold is 30%. The second mapping relationship between the user parameter and the minimum confidence threshold may be that the minimum confidence threshold is 80% when the user parameter is old, and the minimum confidence threshold is 70% when the user parameter is middle aged.

Different minimum support degree thresholds and minimum confidence degree thresholds can be set according to different user parameters, and habits of different crowds are met.

And step 403, if the support degree is greater than the minimum support degree threshold and the confidence degree is greater than the minimum confidence degree threshold, taking any intelligent device as a target intelligent device, taking any time period as a target time period, and controlling the target intelligent device to operate in the target time period.

For example: the support degree of the operation of the bedroom air conditioner in the range from [11:00 to 12:30) is 40%, the confidence degree is 80%, the minimum support degree threshold value is 30%, the minimum confidence degree threshold value is 70%, the support degree is larger than the minimum support degree threshold value, and the confidence degree is larger than the minimum confidence degree threshold value, the operation of the bedroom air conditioner is controlled in the range from [11:00 to 12: 30).

In one embodiment, controlling the target smart device to operate within the target time period according to the user usage habit parameters includes: acquiring a historical operating mode of target intelligent equipment; and controlling the target intelligent equipment to operate according to the historical operation mode in the target time period.

For example: the support degree of the operation of the bedroom air conditioner in the range from [11:00 to 12:30) is 40%, the confidence degree is 80%, the minimum support degree threshold value is 30%, the minimum confidence degree threshold value is 70%, the support degree is larger than the minimum support degree threshold value, the confidence degree is larger than the minimum confidence degree threshold value, the historical operation mode of the bedroom air conditioner is 27 degrees and refrigeration is obtained, and the bedroom air conditioner is controlled to operate according to the 27 degrees and refrigeration in the range from [11:00 to 12: 30).

In one embodiment, as shown in fig. 5, a method flow of controlling the operation of the device includes:

step 501, obtaining power consumption change parameters of each intelligent device in each time period.

And 502, obtaining the running times of each intelligent device in each time period according to the power consumption change parameters.

And 503, controlling the target intelligent equipment to operate in the target time period according to the operation times.

To sum up, the method provided by the embodiment of the application obtains the operation parameters of each intelligent device in a preset time period, wherein the operation parameters include the operation times of each intelligent device in each time period, each time period belongs to the preset time period, obtains the user use habit parameters according to the operation parameters, and controls the target intelligent device to operate in the target time period according to the user use habit parameters, wherein the target time period belongs to each time period. For the operation of household electrical appliances among the prior art relies on user's initiative operation, this application is through acquireing the number of times of operation of each smart machine in each time quantum, the habit that the analysis user used each smart machine, obtain user's use habit parameter, and then control the operation of target smart machine in the target time quantum, make the operation of smart machine more accord with user's habit, and do not need user's initiative operation, just can control the operation of target smart machine, promote the intelligent level of smart machine operation, the operation of having solved household electrical appliances relies on user's initiative operation, problem not intelligent enough.

Based on the same concept, an apparatus operation control device is provided in the embodiments of the present application, and specific implementation of the device may refer to the description of the method embodiment, and repeated details are not repeated, as shown in fig. 6, the device mainly includes:

a first obtaining module 601, configured to obtain an operation parameter of each intelligent device in a preset time period, where the operation parameter includes an operation frequency of each intelligent device in each time period, and each time period belongs to the preset time period;

a second obtaining module 602, configured to obtain a user usage habit parameter according to the operation parameter;

and the processing module 603 is configured to control the target intelligent device to operate in a target time period according to the user usage habit parameters, where the target time period belongs to each time period.

Based on the same concept, an embodiment of the present application further provides an electronic device, as shown in fig. 7, the electronic device mainly includes: a processor 701, a memory 702, and a communication bus 703, wherein the processor 701 and the memory 702 communicate with each other via the communication bus 703. The memory 702 stores a program executable by the processor 701, and the processor 701 executes the program stored in the memory 702 to implement the following steps:

acquiring operation parameters of each intelligent device in a preset time period, wherein the operation parameters comprise the operation times of each intelligent device in each time period, and each time period belongs to the preset time period; obtaining a user use habit parameter according to the operation parameter; and controlling the target intelligent equipment to operate in a target time period according to the use habit parameters of the user, wherein the target time period belongs to each time period.

The communication bus 703 mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 703 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 7, but this is not intended to represent only one bus or type of bus.

The Memory 702 may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Alternatively, the memory may be at least one memory device located remotely from the processor 701.

The Processor 701 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like, or may be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic devices, discrete gates or transistor logic devices, and discrete hardware components.

In still another embodiment of the present application, there is also provided a computer-readable storage medium having stored therein a computer program which, when run on a computer, causes the computer to execute the apparatus operation control method described in the above-described embodiment.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The available media may be magnetic media (e.g., floppy disks, hard disks, tapes, etc.), optical media (e.g., DVDs), or semiconductor media (e.g., solid state drives), among others.

It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.