CN113759735B - Electrical appliance operation parameter value recommendation method and device, electronic equipment and storage medium - Google Patents
Electrical appliance operation parameter value recommendation method and device, electronic equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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Abstract
The application discloses an electrical appliance operation parameter value recommendation method, an electrical appliance operation parameter value recommendation device, electronic equipment and a storage medium. The method comprises the steps of receiving buried point data sent by an application program; the application program is used for controlling the target electrical appliance; recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data. By adopting the scheme provided by the application, the proper operation parameter value of the target electric appliance can be recommended to the user, the repeated debugging of the operation parameter value of the target electric appliance by the user is avoided, and the use experience of the user is improved.
Description
Technical Field
The present application relates to the field of target electrical appliances, and in particular, to a method and apparatus for recommending an electrical appliance operation parameter value, an electronic device, and a storage medium.
Background
With the continuous development of the internet of things technology, smart home has become more and more popular. Currently, for smart home, various vendors provide various control methods, for example, using an application program on a terminal to perform intelligent control. The control mode is remote control, can provide convenience for users, and enhances the use experience of the users.
However, at present, when a user uses an application program to control a target electric appliance, the problem that the set operation parameters of the target electric appliance are not suitable and the operation parameters of the target electric appliance need to be repeatedly debugged often occurs, so that the experience of the user is poor. For example, for the operating temperature of intelligent air conditioners, users often need to adjust repeatedly to a proper temperature multiple times, affecting the user experience.
Disclosure of Invention
In order to solve the technical problem of repeated debugging of operation parameters of a target electric appliance, the embodiment of the application provides an electric appliance operation parameter value recommending method, an electric appliance operation parameter value recommending device, electronic equipment and a storage medium.
The technical scheme of the embodiment of the application is realized as follows:
the embodiment of the application provides a method for recommending an electric appliance operation parameter value, which comprises the following steps:
receiving buried point data sent by an application program; the application program is used for controlling the target electrical appliance;
recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data.
In the above scheme, the embedded data includes position information of a terminal where the application program is located and an operation parameter value used by the target electric appliance; the recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data comprises the following steps:
determining a first area where a terminal where the application program is located according to the position information in the buried point data;
acquiring a first embedded point data set sent by the application programs on a plurality of different terminals in the first area according to the first area;
taking the operation parameter value with the largest number of users of the target electric appliance as a first target electric appliance operation parameter value from the first embedded point data set;
recommending the first target electric appliance operation parameter value to the application program.
In the above scheme, the embedded point data includes an operation parameter value used by the target electrical appliance; the recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data comprises the following steps:
taking the operation parameter value with the largest number of times of use used by the target electric appliance as a second operation parameter value of the target electric appliance from the operation parameter values used by the target electric appliance;
recommending the operation parameter value of the second target electric appliance to the application program.
In the above scheme, the receiving the buried data sent by the application program includes:
and receiving buried point data sent by the application program at fixed time.
In the above scheme, the receiving the buried data sent by the application program includes:
and receiving buried point data reaching a preset quantity sent by the application program.
In the above scheme, after receiving the buried data sent by the application program, the method further includes:
analyzing and counting the using times of the buried data to obtain a counting result;
and storing the statistical result.
In the above scheme, the analyzing and counting the number of times of using the buried data, and obtaining the statistical result includes:
and carrying out analysis statistics on the using times of the buried point data according to a preset frequency to obtain a statistical result.
The embodiment of the application also provides a device for recommending the operation parameter value of the electric appliance, which comprises:
the receiving module is used for receiving buried point data sent by the application program; the application program is used for controlling the target electrical appliance;
and the recommending module is used for recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data.
The embodiment of the application also provides electronic equipment, which comprises: a processor and a memory for storing a computer program capable of running on the processor; wherein,
the processor is configured to perform the steps of any of the methods described above when the computer program is run.
The embodiment of the application also provides a storage medium, wherein a computer program is stored in the storage medium, and when the computer program is executed by a processor, the steps of any one of the methods are realized.
The embodiment of the application provides a method, a device, electronic equipment and a storage medium for recommending an electric appliance operation parameter value, which are used for receiving buried point data sent by an application program; the application program is used for controlling the target electrical appliance; recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data. By adopting the scheme provided by the application, the proper operation parameter value of the target electric appliance can be recommended to the user, the repeated debugging of the operation parameter value of the target electric appliance by the user is avoided, and the use experience of the user is improved.
Drawings
FIG. 1 is a schematic flow chart of a method for recommending electrical appliance operation parameter values according to an embodiment of the present application;
FIG. 2 is a flow chart of collecting and analyzing buried point data according to an embodiment of the present application;
FIG. 3 is a flow chart illustrating the recommended device operating parameter values according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of an electrical appliance operation parameter value recommendation device according to an embodiment of the present application;
fig. 5 is an internal structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the accompanying drawings and examples.
The embodiment of the application provides a method for recommending operation parameter values of an electric appliance, which is shown in fig. 1 and comprises the following steps:
step 101: receiving buried point data sent by an application program; the application program is used for controlling the target electrical appliance;
step 102: recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data.
The embodiment can solve the problems of poor user experience and low device control intelligence caused by the fact that the set operation parameter value of the target electric appliance is not suitable for the user when the user controls the household electric appliance and the operation parameter value of the household electric appliance needs to be adjusted repeatedly.
Specifically, the target electrical apparatus in this embodiment is an intelligent device, and may receive a control instruction sent by a remote application program, and set an operation parameter value of the target electrical apparatus according to the control instruction.
Further, the application may be located at a terminal, which may be a mobile terminal. For example, a cell phone, tablet, smart wearable device, etc. used by the user.
In particular, code may be provided in the application for gathering some information in a particular flow in the application for tracking the usage of the application. Here, the information collected in the application may be defined as buried point information. Further, a code may be set in the application program, and the location information of the terminal where the application program is located, the operation parameter value included in the instruction for controlling the target electric appliance sent by the application program, and the like are acquired. Of course, other data may be obtained in addition to the above data, for example, the model of the target electric appliance controlled corresponding to the operation parameter value.
Here, one application program can control a plurality of types and models of target appliances. For example, application A on the user's cell phone may control an air conditioner, refrigerator, television, model A humidifier, model B humidifier, etc. In addition, each target appliance can be controlled by a plurality of application programs located at different terminals. For example, the air conditioner C may be controlled by an application program on the mobile phone 1, by an application program on the mobile phone 2, or by an application program on the tablet computer 3.
In addition, here, the operation parameter value of the target appliance may be different according to the type of the target appliance. For example, for a type of target appliance such as an air conditioner, the operation parameter value may include a temperature of the air conditioner, a wind speed of the air conditioner, an operation mode of the air conditioner, and the like.
After the buried data is obtained, the operating parameter values of the target appliance may be recommended to the user in a variety of ways in order to enhance the user experience.
For example, in one embodiment, the embedded data includes location information of a terminal where the application program is located, and an operation parameter value used by the target electrical appliance; the recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data comprises the following steps:
determining a first area where a terminal where the application program is located according to the position information in the buried point data;
acquiring a first embedded point data set sent by the application programs on a plurality of different terminals in the first area according to the first area;
taking the operation parameter value with the largest number of users of the target electric appliance as a first target electric appliance operation parameter value from the first embedded point data set;
recommending the first target electric appliance operation parameter value to the application program.
Here, the divided area ranges may be set in advance. And after the position information in the buried point data is acquired, determining a first area corresponding to the position information according to the area range to which the position information belongs. Specifically, the region ranges may be set in a divided manner of administrative regions. For example, in administrative division, XX region of XX City, XX province, and the like. The division may also be performed in other ways. Such as coastal areas, plateau areas, mountain areas, etc.
After determining the first area, a first buried data set sent by a plurality of application programs in the first area is acquired. Specifically, buried point data within a preset first time range can be obtained, and the buried point data within the preset first time range is used as a first buried point data set. Here, the preset first time range may be set based on the situation, for example, 1 month, 1 year, or the like.
And determining an operation parameter value with the largest number of users of the target electric appliance of the model in the embedded point data by utilizing a statistical means according to the first embedded point data set, and setting the operation parameter value as a first target electric appliance operation parameter value. And sending the first target electric appliance operation parameter value to an application program so as to be recommended to a user, and improving user experience.
Here, by collecting the position information of the user and recommending the home appliance operation parameter values used by the most people around the user according to the position information, the user can conveniently control the intelligent device, and the control intelligence of the home appliance is improved.
For another example, in one embodiment, the embedded data includes operating parameter values used by the target appliance; the recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data comprises the following steps:
taking the operation parameter value with the largest number of times of use used by the target electric appliance as a second operation parameter value of the target electric appliance from the operation parameter values used by the target electric appliance;
recommending the operation parameter value of the second target electric appliance to the application program.
Specifically, after the embedded data is acquired, the operation parameter value of the last use time of the user is determined according to the operation parameter value of the target electric appliance of the model controlled by the user in the past, and the operation parameter value is set as the operation parameter value of the second target electric appliance. And sending the second target electric appliance operation parameter value to an application program so as to be recommended to a user, and improving user experience.
Here, according to the intelligent equipment parameters set by the user history, the most commonly used household appliance operation parameter values are recommended to the user, so that the user can conveniently control the intelligent equipment, and the intelligent of household appliance control is improved.
In practical application, the two modes can be adopted to recommend the user. The first recommendation mode may be used to recommend to the user before the second recommendation mode is used to recommend to the user. Or the second recommendation mode can be used for recommending to the user, and then the first recommendation mode can be used for recommending to the user.
In making recommendations to a user in two ways, referring to FIG. 2, the process of collecting and analyzing buried point data may include:
step 1: starting;
step 2: collecting buried point data of a user geographic position;
step 3: collecting buried point data of operation parameter values of user equipment;
step 4: analyzing the most commonly used operation parameter values of the equipment in each region according to the buried point data;
step 5: analyzing the most commonly used operation parameter value of each user according to the embedded data;
step 6: and (5) ending.
Further, referring to fig. 3, the process of recommending device operating parameter values may include:
step 1: starting;
step 2: a user control device;
step 3: recommending the most commonly used operation parameter value of the user according to the equipment model;
step 4: recommending the most common equipment operation parameter value of the user area according to the positioning;
step 5: and (5) ending.
Through the process, two modes of recommending the operation parameter values of the target electric appliance to the user can be realized.
Further, in an embodiment, the receiving the buried data sent by the application program includes:
and receiving buried point data sent by the application program at fixed time.
Here, the buried point data during the running of the application may be transmitted by the code setting application at intervals. For example, every 5 minutes, every 10 minutes, or the like may be provided.
Additionally, in an embodiment, the receiving the embedded data sent by the application includes:
and receiving buried point data reaching a preset quantity sent by the application program.
Here, it may be configured that when the number of buried data in the application reaches a certain number, the buried data is packaged and transmitted.
Further, in an embodiment, after receiving the embedded data sent by the application, the method further includes:
analyzing and counting the using times of the buried data to obtain a counting result;
and storing the statistical result.
In practical application, after receiving buried point data sent by an application program, recommending to a user in time, and after acquiring the buried point data, carrying out analysis statistics on the buried point data according to the use times of regions, users and models to obtain a statistical result; and storing the statistical result. So as to make recommendations to the user in time.
Further, in an embodiment, the analyzing and counting the number of times of using the buried data, and obtaining the statistical result includes:
and carrying out analysis statistics on the using times of the buried point data according to a preset frequency to obtain a statistical result.
Here, the preset frequency may be set according to circumstances. For example, setting the analysis and statistics of the using times of the buried data according to the region, the user and the model every day to obtain a statistical result; the method can also set the analysis and statistics of the using times of the buried data according to the region, the user and the model every week to obtain a statistical result.
By collecting the embedded point data of the application program of the user control device, namely by collecting the embedded point data such as the geographic position of the user and the operating parameter value of the user control intelligent device at ordinary times, the operating parameter value most used by the user in the region and the most used parameter of the user at ordinary times are analyzed and recommended, namely according to the collected user positioning, the household appliance operating parameter value most used by the user around is recommended to the user, or according to the intelligent device parameter set by the user history, the most used household appliance operating parameter value is recommended to the user, so that the user experience and the device control intelligence are improved.
The method for recommending the operation parameter values of the target electrical appliance, provided by the embodiment of the application, receives buried point data sent by an application program; the application program is used for controlling the target electrical appliance; recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data. By adopting the scheme provided by the application, the proper operation parameter value of the target electric appliance can be recommended to the user, the repeated debugging of the operation parameter value of the target electric appliance by the user is avoided, and the use experience of the user is improved.
The present application will be described in further detail with reference to examples of application.
The application embodiment is used for solving the problems that when a user controls the household appliance, the user does not determine the operation parameter value suitable for the user, and the user experience is poor and the control intelligence of the appliance is low due to frequent adjustment.
First, data embedded points, such as user geographic position data embedded points, device operation parameter value data embedded points and the like, are set on an application program for controlling intelligent household appliances by a user. The device operation parameter values include the temperature, wind speed, operation mode, etc. of the air conditioner. The data embedded points can send data to the equipment operation recommendation system at fixed time, or when the collected embedded point data reaches a certain quantity, the data are packaged and sent. The device operation parameter value recommendation system is used for summarizing all the buried data, classifying the buried data according to regions, users and models and recommending summarized results to the users. After the recommendation system acquires the data, firstly summarizing the equipment operation parameter values of each region through the geographic position data, analyzing the operation parameter values used by the most users of the equipment of different types of each region, and storing the analysis results in a database. The recommendation system also needs to analyze and collect the most common operation parameter values of the equipment of each model of the user according to the historical equipment operation parameter values of each user, and stores the operation parameter values. When the buried data is continuously sent to the recommendation system, the recommendation system can update the data collected by analysis at regular time, real-time and accuracy of recommendation of the operation parameter values of the equipment are guaranteed, and one-week updating of the analysis collection result can be set.
When a user uses the APP control equipment, the APP collects the positioning of the user and equipment model data controlled by the user in real time, and after the positioning and the equipment model data are successfully collected, the data are sent to a recommendation system.
Here, the location of the user is transmitted, requiring the user to authorize consent. After the recommendation system receives the data, firstly, according to the user name and the device model, the most common device operation parameter value of the user's device is searched, and then the device operation parameter value is returned to the application program. The recommendation system can also search the operation parameter values which are used by the user and have the most equipment types in the area where the user is located according to the geographic position of the user and the equipment types, return the operation parameter values to the application program and recommend the operation parameter values to the user by the application program. The user may choose whether to use the recommended operating parameter values based on personal preferences. Thus, the experience of the user and the intelligence of the control device can be improved.
According to the embodiment, the buried point data of the application program of the user control device are collected, and the most commonly used operation parameter value of a certain device in the region and the most commonly used parameter of the user are analyzed and recommended, so that the user experience and the device control intelligence are improved.
In order to implement the method of the embodiment of the present application, the embodiment of the present application further provides an appliance operation parameter value recommending apparatus, as shown in fig. 4, the appliance operation parameter value recommending apparatus 400 includes: a receiving module 401 and a recommending module 402; wherein,
a receiving module 401, configured to receive buried point data sent by an application program; the application program is used for controlling the target electrical appliance;
and the recommending module 402 is used for recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data.
In one embodiment, the recommendation module 402 is further configured to:
determining a first area where a terminal where the application program is located according to the position information in the buried point data;
acquiring a first embedded point data set sent by the application programs on a plurality of different terminals in the first area according to the first area;
taking the operation parameter value with the largest number of users of the target electric appliance as a first target electric appliance operation parameter value from the first embedded point data set;
recommending the first target electric appliance operation parameter value to the application program.
In one embodiment, the recommendation module 402 is further configured to:
taking the operation parameter value with the largest number of times of use used by the target electric appliance as a second operation parameter value of the target electric appliance from the operation parameter values used by the target electric appliance;
recommending the operation parameter value of the second target electric appliance to the application program.
In an embodiment, the receiving module 401 is further configured to:
and receiving buried point data sent by the application program at fixed time.
In an embodiment, the receiving module 401 is further configured to:
and receiving buried point data reaching a preset quantity sent by the application program.
In one embodiment, the recommendation module 402 is further configured to:
analyzing and counting the using times of the buried data to obtain a counting result;
and storing the statistical result.
In one embodiment, the recommendation module 402 is further configured to:
and carrying out analysis statistics on the using times of the buried point data according to a preset frequency to obtain a statistical result.
In practical applications, the receiving module 401 and the recommending module 402 may be implemented by a processor in the appliance operation parameter value recommending device.
It should be noted that: the above-mentioned apparatus provided in the above-mentioned embodiment is only exemplified by the division of the above-mentioned program modules when executing, and in practical application, the above-mentioned process allocation may be performed by different program modules according to needs, i.e. the internal structure of the terminal is divided into different program modules to complete all or part of the above-mentioned processes. In addition, the apparatus provided in the foregoing embodiment and the method embodiment belong to the same concept, and specific implementation processes of the apparatus and the method embodiment are detailed in the method embodiment and are not repeated herein.
Based on the hardware implementation of the program modules, and in order to implement the method of the embodiment of the present application, the embodiment of the present application further provides an electronic device (computer device). In particular, in one embodiment, the computer device may be a terminal, the internal structure of which may be as shown in fig. 5. The computer apparatus includes a processor a01, a network interface a02, a display screen a04, an input device a05, and a memory (not shown in the figure) which are connected through a system bus. Wherein the processor a01 of the computer device is adapted to provide computing and control capabilities. The memory of the computer device includes an internal memory a03 and a nonvolatile storage medium a06. The nonvolatile storage medium a06 stores an operating system B01 and a computer program B02. The internal memory a03 provides an environment for the operation of the operating system B01 and the computer program B02 in the nonvolatile storage medium a06. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. Which when executed by a processor a01, performs the method of any of the embodiments described above. The display screen a04 of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device a05 of the computer device may be a touch layer covered on the display screen, or may be a key, a track ball or a touch pad arranged on a casing of the computer device, or may be an external keyboard, a touch pad or a mouse.
It will be appreciated by those skilled in the art that the structure shown in FIG. 5 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
The device provided by the embodiment of the application comprises a processor, a memory and a program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the method of any one of the embodiments.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash memory (flashRAM). Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transshipment) such as modulated data signals and carrier waves.
It will be appreciated that the memory of embodiments of the application may be either volatile memory or nonvolatile memory, and may include both volatile and nonvolatile memory. Wherein the nonvolatile Memory may be Read Only Memory (ROM), programmable Read Only Memory (PROM, programmable Read-Only Memory), erasable programmable Read Only Memory (EPROM, erasable Programmable Read-Only Memory), electrically erasable programmable Read Only Memory (EEPROM, electrically Erasable Programmable Read-Only Memory), magnetic random access Memory (FRAM, ferromagnetic random access Memory), flash Memory (Flash Memory), magnetic surface Memory, optical disk, or compact disk Read Only Memory (CD-ROM, compact Disc Read-Only Memory); the magnetic surface memory may be a disk memory or a tape memory. The volatile memory may be random access memory (RAM, random Access Memory), which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as static random access memory (SRAM, static Random Access Memory), synchronous static random access memory (SSRAM, synchronous Static Random Access Memory), dynamic random access memory (DRAM, dynamic Random Access Memory), synchronous dynamic random access memory (SDRAM, synchronous Dynamic Random Access Memory), double data rate synchronous dynamic random access memory (ddr SDRAM, double Data Rate Synchronous Dynamic Random Access Memory), enhanced synchronous dynamic random access memory (ESDRAM, enhanced Synchronous Dynamic Random Access Memory), synchronous link dynamic random access memory (SLDRAM, syncLink Dynamic Random Access Memory), direct memory bus random access memory (DRRAM, direct Rambus Random Access Memory). The memory described by embodiments of the present application is intended to comprise, without being limited to, these and any other suitable types of memory.
It should also be noted that 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 one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Claims (9)
1. A method for recommending values of operating parameters of an electrical appliance, the method comprising:
receiving buried point data sent by an application program; the application program is used for controlling the target electrical appliance; the embedded point data is collected from a specific flow in the application program through the proxy;
recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data;
the embedded point data comprises the position information of the terminal where the application program is located and the operation parameter value used by the target electrical appliance; the recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data comprises the following steps:
determining a first area where a terminal where the application program is located according to the position information in the buried point data;
acquiring a first embedded point data set sent by the application programs on a plurality of different terminals in the first area according to the first area;
taking the operation parameter value with the largest number of users of the target electric appliance as a first target electric appliance operation parameter value from the first embedded point data set;
recommending the first target electric appliance operation parameter value to the application program.
2. The method of claim 1, wherein the point-of-burial data includes operating parameter values used by the target appliance; the recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data comprises the following steps:
taking the operation parameter value with the largest number of times of use used by the target electric appliance as a second operation parameter value of the target electric appliance from the operation parameter values used by the target electric appliance;
recommending the operation parameter value of the second target electric appliance to the application program.
3. The method of claim 1, wherein receiving the buried data sent by the application comprises:
and receiving buried point data sent by the application program at fixed time.
4. The method of claim 1, wherein receiving the buried data sent by the application comprises:
and receiving buried point data reaching a preset quantity sent by the application program.
5. The method of claim 1, wherein after receiving the buried data sent by the application, the method further comprises:
analyzing and counting the using times of the buried data to obtain a counting result;
and storing the statistical result.
6. The method of claim 5, wherein said analyzing statistics of the number of uses of the buried data includes:
and carrying out analysis statistics on the using times of the buried point data according to a preset frequency to obtain a statistical result.
7. An appliance operating parameter value recommendation device, characterized in that the appliance operating parameter value recommendation device comprises:
the receiving module is used for receiving buried point data sent by the application program; the application program is used for controlling the target electrical appliance; the embedded point data is collected from a specific flow in the application program through the proxy;
the recommending module is used for recommending the operation parameter value of the target electrical appliance to the application program according to the buried point data;
the embedded point data comprises the position information of the terminal where the application program is located and the operation parameter value used by the target electrical appliance; the recommending module is further used for determining a first area where the terminal where the application program is located according to the position information in the buried point data; acquiring a first embedded point data set sent by the application programs on a plurality of different terminals in the first area according to the first area; taking the operation parameter value with the largest number of users of the target electric appliance as a first target electric appliance operation parameter value from the first embedded point data set; recommending the first target electric appliance operation parameter value to the application program.
8. An electronic device, comprising: a processor and a memory for storing a computer program capable of running on the processor; wherein,
the processor being adapted to perform the steps of the method of any of claims 1 to 6 when the computer program is run.
9. A storage medium having a computer program stored therein, which, when executed by a processor, implements the steps of the method of any one of claims 1 to 6.
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