CN113055423B - Policy pushing method, policy execution method, device, equipment and medium - Google Patents
Policy pushing method, policy execution method, device, equipment and medium Download PDFInfo
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- CN113055423B CN113055423B CN201911380390.9A CN201911380390A CN113055423B CN 113055423 B CN113055423 B CN 113055423B CN 201911380390 A CN201911380390 A CN 201911380390A CN 113055423 B CN113055423 B CN 113055423B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
- G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
- G06F1/3212—Monitoring battery levels, e.g. power saving mode being initiated when battery voltage goes below a certain level
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0209—Power saving arrangements in terminal devices
- H04W52/0261—Power saving arrangements in terminal devices managing power supply demand, e.g. depending on battery level
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The embodiment of the application provides a strategy pushing method, a strategy executing method, a device, equipment and a medium, and relates to the technical field of the Internet. The method comprises the following steps: receiving target power consumption data reported by a target terminal, wherein the target power consumption data is data related to power consumption and collected in the running process of the target terminal; constructing a target power consumption image according to the target power consumption data, wherein the target power consumption image is used for representing power consumption characteristics when a target terminal is used; determining a target group to which a target terminal corresponds to a user according to the target power consumption figure; and pushing a target power consumption strategy corresponding to the target group to the target terminal, wherein the target terminal is used for executing the target power consumption strategy during operation. The power consumption strategy provided by the embodiment of the application is more accurate, more conforms to the behavior habit of the user, and improves the personal difference and diversity of the power consumption strategy.
Description
Technical Field
The embodiment of the application relates to the technical field of internet, in particular to a strategy pushing method, a strategy executing method, a strategy pushing device, a strategy executing device, equipment and a medium.
Background
The power consumption strategy is used for managing and controlling the power consumption of the terminal.
In the related art, the power consumption policy has been prepared by a technician and stored in the terminal before the terminal is shipped from the factory. After the terminal leaves the factory, the terminal can only manage and control the power consumption according to the power consumption strategy.
Disclosure of Invention
The embodiment of the application provides a strategy pushing method, a strategy executing method, a device, equipment and a medium. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides a method for pushing a power consumption policy, where the method includes:
receiving target power consumption data reported by a target terminal, wherein the target power consumption data is data which is collected in the operation process of the target terminal and is related to power consumption;
constructing a target power consumption image according to the target power consumption data, wherein the target power consumption image is used for representing power consumption characteristics when the target terminal is used;
determining a target group to which a user corresponding to the target terminal belongs according to the target power consumption image;
and pushing a target power consumption strategy corresponding to the target group to the target terminal, wherein the target terminal is used for executing the target power consumption strategy during operation.
In another aspect, an embodiment of the present application provides a method for executing a power consumption policy, where the method includes:
reporting target power consumption data to a server, wherein the target power consumption data is data which is collected in the running process of the target terminal and is related to power consumption;
receiving a target power consumption strategy pushed by the server, wherein the target power consumption strategy is a strategy corresponding to a target group to which a user corresponding to the target terminal belongs, and is determined by the server according to the target power consumption data;
and executing the target power consumption strategy.
On the other hand, an embodiment of the present application provides a device for pushing a power consumption policy, where the device includes:
the data receiving module is used for receiving target power consumption data reported by a target terminal, wherein the target power consumption data is data which is collected in the running process of the target terminal and is related to power consumption;
the image construction module is used for constructing a target power consumption image according to the target power consumption data, and the target power consumption image is used for representing the power consumption characteristics when the target terminal is used;
the group determining module is used for determining a target group to which the user corresponding to the target terminal belongs according to the target power consumption image;
and the strategy pushing module is used for pushing the target power consumption strategy corresponding to the target group to the target terminal, and the target terminal is used for executing the target power consumption strategy during running.
In another aspect, an embodiment of the present application provides an apparatus for executing a power consumption policy, where the apparatus includes:
the data reporting module is used for reporting target power consumption data to a server, wherein the target power consumption data is data which is collected in the running process of the target terminal and is related to power consumption;
the strategy receiving module is used for receiving a target power consumption strategy pushed by the server, wherein the target power consumption strategy is a strategy corresponding to a target group to which a user corresponding to the target terminal belongs, and the strategy is determined by the server according to the target power consumption data;
and the strategy execution module is used for executing the target power consumption strategy.
In another aspect, an embodiment of the present application provides a computer device, where the computer device includes a processor and a memory, where the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the push method or the execution method of the power consumption policy according to the above aspect.
In still another aspect, an embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored, and the computer program is loaded and executed by a processor to implement the push method or the execution method of the power consumption policy according to the above aspect.
The technical scheme provided by the embodiment of the application can bring the following beneficial effects:
the power consumption strategy determined by the embodiment of the application is dynamic, and compared with a constant power consumption strategy in the related technology, the power consumption strategy provided by the embodiment of the application is more accurate and more conforms to the behavior habit of the user, and the difference and diversity of the power consumption strategy to individuals are improved.
Drawings
FIG. 1 is a schematic illustration of an implementation environment provided by one embodiment of the present application;
FIG. 2 is a flow chart of a power consumption policy pushing method according to an embodiment of the present application;
fig. 3 is a flowchart of a power consumption policy pushing method according to another embodiment of the present application;
FIG. 4 is a flow diagram of a method for implementing a power consumption policy provided by one embodiment of the present application;
FIG. 5 is a flow diagram of a method for implementing a power consumption policy provided by another embodiment of the present application;
FIG. 6 is a block diagram of a push device for power consumption policies provided by one embodiment of the present application;
FIG. 7 is a block diagram of a push device for power consumption policies provided by another embodiment of the present application;
FIG. 8 is a block diagram of an apparatus for implementing a power consumption policy provided by one embodiment of the present application;
FIG. 9 is a block diagram of an apparatus for enforcing a power consumption policy according to another embodiment of the present application;
fig. 10 is a block diagram of a computer device according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, a schematic diagram of an implementation environment provided by an embodiment of the present application is shown. The implementation environment may include: a terminal 10 and a server 20.
In the embodiment of the present application, the terminal 10 refers to an electronic device that generates power consumption, for example, the terminal 10 may refer to a mobile phone, a tablet Computer, a PC (Personal Computer), or other electronic devices.
The server 20 is a device for determining a power consumption policy, and the server 20 may be one server, a server cluster composed of multiple servers, or a cloud computing service center.
The server 20 and the terminal 10 may communicate with each other through a network, which may be a wired network or a wireless network. The terminal 10 collects power consumption data in the operation process and reports the power consumption data to the server, and after receiving the power consumption data, the server determines a power consumption strategy corresponding to the terminal according to the power consumption data and then sends the power consumption strategy to the terminal, so that the terminal executes the power consumption strategy.
For convenience of description, in the following method embodiments, only the execution subject of each step is described as a computer device (the computer device refers to an electronic device with computing and processing capabilities), but the present invention is not limited thereto.
Referring to fig. 2, a flowchart of a push method of a power consumption policy according to an embodiment of the present application is shown. The execution subject of the method may be a server in the implementation environment, and the method may include the following steps.
The target terminal may be any one terminal, and the target power consumption data is data related to power consumption acquired in an operation process of the target terminal, for example, the target power consumption data may be data related to power consumption, such as charge and discharge data, power consumption application data, and power consumption hardware data.
The target terminal can acquire and report the target power consumption data to the server in real time, or can acquire and report the target power consumption data to the server at intervals of a preset time interval, or can acquire and report the target power consumption data to the server when receiving an acquisition instruction issued by the server.
In the embodiment of the application, the target power consumption figure is used for representing the power consumption characteristics when the target terminal is used. The portrait dimensions of the target power consumption portrait include at least one of: the system comprises the following components of electric quantity sensitivity, charging habit, charging times, endurance time, high-power-consumption application types and high-power-consumption hardware. Optionally, the power sensitivity level refers to a charging or power saving mode that is started when the remaining power is large, and may be classified into the following levels: high (very sensitive to electric quantity), medium (more sensitive to electric quantity), low (less sensitive to electric quantity), high level can be designated by 2, medium level can be designated by 1, and low level can be designated by 0. The charging habit refers to where and when charging, charging in the morning can be referred to as 0, charging in the noon can be referred to as 1, charging in the afternoon can be referred to as 2, charging in the evening can be referred to as 3, charging at home can be referred to as 0, charging at home can be referred to as 1 instead of charging at home, charging at home in the morning can be referred to as 00, charging at home in the morning can be referred to as 01 instead of charging at home in the morning, charging at home in the afternoon can be referred to as 20, charging at home in the evening can be referred to as 30, and so on. The number of charges refers to the average daily charge number or the average monthly charge number or the average annual charge number. The endurance time refers to the time that the terminal can be used in the case of full charge. The high power consumption application type refers to an application type with high power consumption in the terminal, and different application types can be represented by different characters, for example, a video application can be represented by 0, a game application can be represented by 1, a social application can be represented by 2, and so on; the high power consumption hardware refers to hardware with higher power consumption in the terminal, and different hardware may be represented by different characters, for example, a CPU (Central Processing Unit, CPU) may be represented by 0, a GPU (Graphics Processing Unit, graphics processor) may be represented by 1, a distance sensor may be represented by 2, and so on.
Alternatively, the target power consumption profile may be presented in the form of a vector, for example, assuming that the profile dimensions of the target power consumption profile include the power sensitivity, the charging habit, the charging time, and the duration, the power sensitivity is high, the charging habit is charging at home at night, the charging time is 2 times per day, and the duration is 8h (hours), the target power consumption profile may be represented as [2, 30,2,8].
And step 203, determining a target group to which the target terminal corresponds to the user according to the target power consumption figure.
The power consumption characteristics of the terminals in the same group are similar, and the target group to which the target terminal corresponds to the user can be determined according to the target power consumption image.
And 204, pushing a target power consumption strategy corresponding to the target group to the target terminal.
In the embodiment of the application, the target terminal is used for executing the target power consumption strategy during operation. Alternatively, the target power consumption policy may be represented in a structured format file, for example, the structured format file may be a JSON (JavaScript Object Notation) format file, a Protocol Buffer (Protocol Buffer) format file. And the target power consumption strategy is expressed in a structured format file, so that the terminal can store and analyze the strategy conveniently.
Optionally, the target power consumption policy comprises at least one of: the method comprises the following steps of switching on and off a power saving mode strategy, adjusting a CPU frequency strategy, adjusting a network state strategy, adjusting a screen state strategy, adjusting a sensor state strategy and adjusting a background management and control strategy. Illustratively, the switching power saving mode policy refers to a policy of turning on or off the power saving mode if a target condition is satisfied. The strategy of adjusting the CPU frequency refers to a strategy of increasing or decreasing the CPU frequency under the condition that the target condition is met. Adjusting a network state policy refers to a policy to turn on or off a network if a target condition is met. The adjustment screen state strategy is a strategy for reducing screen brightness or increasing screen brightness, reducing screen refresh frequency or increasing screen refresh frequency under the condition that target conditions are met. A tune sensor state strategy refers to a strategy to turn off or on a sensor if a target condition is met. Adjusting the background management and control strategy refers to managing and controlling a strategy applied by the background under the condition that a target condition is met.
Optionally, the server may push a target power consumption policy corresponding to the target group to the target terminal through the secure encrypted link, so as to ensure privacy of the user corresponding to the target terminal. And heartbeat connection can be established between the server and the terminal, and a target power consumption strategy corresponding to a target group is pushed to the target terminal at intervals.
To sum up, in the technical scheme provided in the embodiment of the present application, power consumption data reported by a receiving terminal is received, a power consumption image is constructed according to the power consumption data, a target group to which a user corresponding to the terminal belongs is determined according to the power consumption image, then a target power consumption policy corresponding to the target group is pushed to the terminal, a server determines a target power consumption policy according to the power consumption data reported by the terminal, power consumption policies determined by different terminals may be different, the power consumption policy determined by the embodiment of the present application is dynamic, and compared with a constant power consumption policy in the related art, the power consumption policy provided in the embodiment of the present application is more accurate, more conforms to a behavior habit of the user, and improves a difference and diversity of the power consumption policy to individuals.
Referring to fig. 3, a flowchart of a push method of a power consumption policy according to another embodiment of the present application is shown. The execution subject of the method may be a server in the implementation environment, and the method may include the following steps.
In the embodiment of the application, the target power consumption data is data related to power consumption collected in the operation process of the target terminal. For the introduction and description of the target power consumption data, reference may be made to the above embodiments, which are not described herein again.
In the embodiment of the application, the target power consumption figure is used for representing the power consumption characteristics when the target terminal is used. For the description of the target power consumption image, refer to the above embodiments, and are not repeated herein.
Illustratively, the server may construct the target power consumption profile according to the target power consumption data and the power consumption profile construction criteria. And when the quantity of the sample power consumption data reaches a second quantity threshold value, determining a power consumption portrait construction standard according to the data distribution condition of the sample power consumption data, wherein the power consumption portrait construction standard comprises a construction standard of each portrait dimension in the power consumption portrait. For example, the server can analyze the charge and discharge data in the sample power consumption data to determine that the power consumption portrait construction standard comprises a construction standard of high power sensitivity, a construction standard of sensitivity in power and a construction standard of low power sensitivity, for example, when the residual power reaches about 50%, the terminal is charged to be in the high power sensitivity, when the residual power reaches about 30%, the terminal is charged to be in the sensitivity, and when the residual power reaches about 5%, the terminal is charged to be in the low power sensitivity.
Of course, in a possible implementation manner, the server may issue the power consumption portrait construction standard to the target terminal, and the target terminal is configured to construct the target power consumption portrait locally according to the power consumption portrait construction standard and the target power consumption data. The power consumption portrait localization processing is beneficial to the safety of data, and meanwhile, the power consumption portrait can be established locally without depending on a network.
And step 303, inputting the target power consumption portrait into the clustering model to obtain a crowd classification label corresponding to the target power consumption portrait.
In the embodiment of the application, the clustering model is used for dividing the users into preset groups according to the power consumption images, and the crowd classification label is used for indicating the target group to which the target terminal corresponds the user. Optionally, the clustering model is generated using a machine learning clustering algorithm (e.g., distance clustering, density clustering algorithm, etc.). After people are classified, analyzing the group characteristics of different groups can help terminal manufacturers to better understand the behavior habits of the part of people and the characteristics of the terminal used by the people. The embodiment of the application can bring tailored terminal performance and power consumption optimization experience to users of different groups, and meanwhile, the value of the users can be mined by matching with commercial operation.
Illustratively, before inputting the target power consumption sketch into the clustering model and obtaining the crowd classification label corresponding to the target power consumption sketch, the server further performs the following steps:
firstly, receiving sample power consumption data reported by a sample terminal;
the sample terminal can be any terminal, and the sample power consumption data is data related to power consumption collected in the operation process of the sample terminal. The sample power consumption data can be data related to power consumption, such as charging and discharging data, power consumption application data, power consumption hardware data and the like, and the type of the sample power consumption data is not limited in the embodiment of the application. The sample power consumption data includes a data category that is consistent with a data category included in the target power consumption data.
Secondly, constructing a sample power consumption image according to the sample power consumption data;
for the description of constructing the sample power consumption image, the above description of constructing the target power consumption image may be referred to, and will not be repeated herein.
And thirdly, when the number of the sample power consumption figures reaches a first number threshold, training a clustering model according to the sample power consumption figures.
The first quantity threshold may be a default value or a value set by a human. Only when the number of the sample power consumption figures reaches a first number threshold value, the accuracy of the clustering model obtained through training according to the sample power consumption figures can be basically guaranteed.
In one example, the server may train the clustering model by:
3.1, inputting the sample power consumption image into n candidate clustering models to obtain n clustering results corresponding to the n candidate clustering models, wherein n is an integer greater than or equal to 2, and different candidate clustering models adopt different clustering algorithms;
the clustering algorithm may include a distance clustering algorithm, a density clustering algorithm, and the like.
3.2, performing cross training on the n candidate clustering models according to the n clustering results;
assume that there are 2 candidate clustering models: and the model 1 and the model 2 train the model 2 by using the result of the model 1, train the model 1 by using the result of the model 2, and finally enable the obtained clustering effects of different models to be similar.
3.3, determining any candidate clustering model obtained by training as a clustering model.
The training method is an unsupervised training method, and different clustering algorithms are used to enable the algorithm to be plugged in, so that cross-checking of unsupervised clustering results is facilitated.
In another example, the server may train the clustering model by:
firstly, acquiring training data;
the training data comprises at least one training sample, and the training sample comprises sample power consumption data of a sample terminal and a standard crowd classification label of a user corresponding to the sample terminal. The standard crowd classification labels may be manually labeled.
Secondly, inputting sample power consumption data of a sample terminal into a clustering model to obtain a predicted crowd classification label of a user corresponding to the sample terminal;
and thirdly, training the clustering model according to the predicted crowd classification label and the standard crowd classification label.
And when the numerical value of the loss function between the predicted crowd classification label and the standard crowd classification standard is smaller than a preset numerical value, stopping training the clustering model. Or stopping training the clustering model when the training times reach the preset training times.
And 304, acquiring a target power consumption strategy corresponding to the target group.
Illustratively, the server determines respective population characteristics of each preset population, wherein the population characteristics are used for representing distinguishing characteristics between different preset populations, and the population characteristics belong to the dimension of the power consumption image; and generating power consumption strategies corresponding to all preset groups according to the group characteristics.
For example, the power consumption policies including the background regulation policy are described, the level of the background regulation policy corresponding to the preset group 1 is high, that is, the terminal does not have background application, the level of the background regulation policy corresponding to the preset group 2 is medium, that is, the terminal may have a small amount of background application, the level of the background regulation policy corresponding to the preset group 3 is low, that is, the terminal background application is not cleaned, and the terminal may have a large amount of background application.
After the server determines the crowd classification label of the user corresponding to the target terminal, the target power consumption strategy corresponding to the target crowd can be obtained.
And 305, determining the level degree of the target power consumption image according to the target group characteristics corresponding to the target group and the image dimension of the target power consumption image.
In the embodiment of the present application, the level degree refers to a level of a target terminal corresponding to a user in a target group. For example, the portrait dimension is the electric quantity sensitivity, the electric quantity sensitivity corresponding to the target group is the electric quantity high sensitivity, and the target terminal charges the terminal when the remaining electric quantity of the terminal is 70%, so that the electric quantity sensitivity corresponding to the target terminal is also high level at the electric quantity high sensitivity, that is, the level degree of the target power consumption portrait is high.
And step 306, adjusting the target power consumption strategy according to the level degree, and pushing the adjusted target power consumption strategy to the target terminal.
And if the target power consumption image is in a high level, the server can adjust the target power consumption strategy according to the high level and push the adjusted target power consumption strategy to the target terminal. For example, taking the power consumption policy as the policy for adjusting the CPU frequency as an example, the server may further reduce the CPU frequency on the basis that the target power consumption policy corresponding to the target group is to reduce the CPU frequency, and push the policy for further reducing the CPU frequency to the target terminal. According to the technical scheme provided by the embodiment of the application, a user who is interested in electric quantity can enjoy extremely power-saving experience; users with strong performance requirements enjoy the extreme performance experience, but certainly at the expense of some endurance, but this is most relevant for the user. According to the method and the device, the target power consumption strategy can be adaptively adjusted according to the change of the user behavior habit.
To sum up, in the technical scheme provided by the embodiment of the application, the target power consumption strategy is adjusted according to the level degree, and the adjusted target power consumption strategy is pushed to the target terminal, so that the exclusive power consumption strategy of the user can be dynamically formulated, and the adaptability of the power consumption strategy is improved.
In addition, the server issues a power consumption portrait construction standard to the terminal, so that the terminal can construct a power consumption portrait locally according to the power consumption portrait construction standard and power consumption data, the data security is improved, and the terminal is independent of a network.
Referring to fig. 4, a flowchart of an execution method of a power consumption policy provided by an embodiment of the present application is shown, where an execution subject of the method may be a terminal in the above implementation environment, and the method includes the following steps.
In the embodiment of the application, the target power consumption data is data related to power consumption collected in the operation process of the target terminal.
The target terminal can collect and report target power consumption data to the server in real time, can collect and report the target power consumption data to the server at intervals of a preset time interval, and can collect and report the target power consumption data to the server when receiving a collection instruction issued by the server.
In the embodiment of the application, the target power consumption policy is a policy corresponding to a target group to which a target terminal corresponding to a user belongs, which is determined by the server according to the target power consumption data. For an introduction description of how the server determines the target power consumption policy, reference may be made to the above embodiments, and details are not repeated here.
Certainly, in a possible implementation manner, the terminal may receive a power consumption image construction standard issued by the server; and locally constructing a target power consumption portrait according to the power consumption portrait construction standard and the target power consumption data. The power consumption portrait is locally processed, which is favorable for the safety of data, and meanwhile, the establishment of the power consumption portrait does not depend on a network, and the power consumption portrait establishing process can be locally completed. After the terminal constructs the target power consumption image locally, the target power consumption image is reported to the server, so that the server determines a target group to which a user corresponding to the target terminal belongs according to the target power consumption image, and a target power consumption strategy is determined.
The target power consumption strategy pushed by the server can be quickly received by the terminal, the target power consumption strategy can be quickly effective, and user experience is improved.
In step 403, a target power consumption policy is executed.
Optionally, the terminal executes the target power consumption policy by: selecting an executable power consumption strategy matched with a target terminal in the target power consumption strategies; an executable power consumption policy is executed.
After the target terminal receives the target power consumption strategy pushed by the server, the power consumption strategy which can be executed in the target power consumption strategy needs to be selected in combination with the service state of the target terminal, so that the terminal can execute a new power consumption strategy when a corresponding scene is triggered next time in the process of using the target terminal by a user.
To sum up, in the technical solution provided in the embodiment of the present application, the power consumption policy pushed by the server is received by reporting the power consumption data to the server, so as to execute the power consumption policy, and the power consumption policy determined in the embodiment of the present application is dynamic, and compared with an unchangeable power consumption policy in the related art, the power consumption policy provided in the embodiment of the present application is more accurate and more suitable for the behavior habit of the user, and the difference and diversity of the power consumption policy for individuals are improved.
Referring to fig. 5, a flowchart of a method for executing a power consumption policy according to another embodiment of the present application is shown, where the method may include the following steps.
Step 501, a target terminal reports target power consumption data to a server.
In the embodiment of the application, the target power consumption data is data related to power consumption collected in the operation process of the target terminal.
Step 502, the server constructs a target power consumption portrait according to the target power consumption data and the power consumption portrait construction standard.
In the embodiment of the application, the target power consumption figure is used for representing the power consumption characteristics when the target terminal is used. The power consumption portrait construction standard comprises construction standards of all portrait dimensions in the power consumption portrait.
Step 503, the server inputs the target power consumption sketch into the clustering model to obtain a crowd classification label corresponding to the target power consumption sketch.
In the embodiment of the application, the clustering model is used for dividing the users into preset groups according to the power consumption images, and the crowd classification label is used for indicating the target group to which the target terminal corresponds the user.
Step 504, the server obtains a target power consumption strategy corresponding to the target group.
And 505, the server determines the level degree of the target power consumption image according to the target group characteristics corresponding to the target group and the image dimension of the target power consumption image.
Step 506, the server adjusts the target power consumption strategy according to the level degree, and pushes the adjusted target power consumption strategy to the target terminal.
And step 507, the target terminal selects an executable power consumption strategy matched with the target terminal in the target power consumption strategies.
In step 508, the target terminal executes the executable power consumption policy.
The above description of steps 501 to 508 can refer to the above embodiments, and are not repeated herein.
To sum up, in the technical scheme provided in the embodiment of the present application, power consumption data is sent to a server through a terminal, the server constructs a power consumption image according to the power consumption data, determines a target group to which a user corresponding to the terminal belongs according to the power consumption image, then pushes a target power consumption policy corresponding to the target group to the terminal, and determines a target power consumption policy according to the power consumption data reported by the terminal.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 6, a block diagram of a push apparatus for power consumption policy according to an embodiment of the present application is shown, where the apparatus has a function of implementing the above method example, and the function may be implemented by hardware or by hardware executing corresponding software. The apparatus 600 may include: a data receiving module 610, a representation construction module 620, a group determination module 630, and a policy pushing module 640.
The data receiving module 610 is configured to receive target power consumption data reported by a target terminal, where the target power consumption data is data related to power consumption and is collected during an operation process of the target terminal.
And the image construction module 620 is used for constructing a target power consumption image according to the target power consumption data, wherein the target power consumption image is used for representing the power consumption characteristics when the target terminal is used.
And a group determining module 630, configured to determine, according to the target power consumption image, a target group to which the user corresponding to the target terminal belongs.
A policy pushing module 640, configured to push a target power consumption policy corresponding to the target group to the target terminal, where the target terminal is configured to execute the target power consumption policy during running.
To sum up, in the technical scheme provided in the embodiment of the present application, power consumption data reported by a receiving terminal is received, a power consumption image is constructed according to the power consumption data, a target group to which a user corresponding to the terminal belongs is determined according to the power consumption image, then a target power consumption policy corresponding to the target group is pushed to the terminal, a server determines a target power consumption policy according to the power consumption data reported by the terminal, power consumption policies determined by different terminals may be different, the power consumption policy determined by the embodiment of the present application is dynamic, and compared with a constant power consumption policy in the related art, the power consumption policy provided in the embodiment of the present application is more accurate, more conforms to a behavior habit of the user, and improves a difference and diversity of the power consumption policy to individuals.
Optionally, the group determining module 630 is configured to:
and inputting the target power consumption figure into a clustering model to obtain a crowd classification label corresponding to the target power consumption figure, wherein the clustering model is used for classifying users into preset groups according to the power consumption figure, and the crowd classification label is used for indicating a target group to which the target terminal corresponds and the users belong.
Optionally, as shown in fig. 7, the apparatus 600 further includes: a model training module 650.
The data receiving module 610 is further configured to receive sample power consumption data reported by a sample terminal.
The representation construction module 620 is further configured to construct a sample power consumption representation according to the sample power consumption data.
The model training module 650 is configured to train the clustering model according to the sample power consumption profile when the number of the sample power consumption profile reaches a first number threshold.
Optionally, the model training module 650 is configured to:
inputting the sample power consumption image into n candidate clustering models to obtain n clustering results corresponding to the n candidate clustering models, wherein n is an integer greater than or equal to 2, and different candidate clustering models adopt different clustering algorithms;
performing cross training on the n candidate clustering models according to the n clustering results;
and determining any candidate clustering model obtained by training as the clustering model.
Optionally, the apparatus 600 further includes: a criteria determination module 660.
The standard determining module 660 is configured to determine a power consumption portrait construction standard according to a data distribution condition of the sample power consumption data when the number of the sample power consumption data reaches a second number threshold, where the power consumption portrait construction standard includes a construction standard of each portrait dimension in the power consumption portrait.
The portrait building module 620 is configured to:
and constructing the target power consumption image according to the target power consumption data and the power consumption image construction standard.
Optionally, the apparatus 600 further includes: a standard issue module 670.
The standard issuing module 670 is configured to issue the power consumption figure establishing standard to the target terminal, and the target terminal is configured to locally establish the target power consumption figure according to the power consumption figure establishing standard and the target power consumption data.
Optionally, the apparatus 600 further includes: a feature determination module 680 and a policy generation module 690.
The feature determining module 680 is configured to determine respective group features of the preset groups, where the group features are used to represent distinguishing features between different preset groups, and the group features belong to an image dimension of a power consumption image.
The policy generating module 690 is configured to generate a power consumption policy corresponding to each preset group according to the group characteristics.
Optionally, the policy pushing module 640 is configured to:
acquiring a target power consumption strategy corresponding to the target group;
determining the level degree of the target power consumption portrait according to the target group characteristics corresponding to the target group and the portrait dimension of the target power consumption portrait, wherein the level degree is the level degree of a user corresponding to the target terminal in the target group;
and adjusting the target power consumption strategy according to the level degree, and pushing the adjusted target power consumption strategy to the target terminal.
Optionally, the portrait dimensions of the target power consumption portrait include at least one of: the system comprises the following components of electric quantity sensitivity, charging habit, charging times, endurance time, high-power-consumption application types and high-power-consumption hardware.
Optionally, the target power consumption policy comprises at least one of: the method comprises the following steps of switching on and off a power saving mode strategy, adjusting a CPU frequency strategy, adjusting a network state strategy, adjusting a screen state strategy, adjusting a sensor state strategy and adjusting a background management and control strategy.
Referring to fig. 8, a block diagram of an apparatus for executing a power consumption policy according to an embodiment of the present application is shown, where the apparatus has a function of implementing the above method example, and the function may be implemented by hardware or by hardware executing corresponding software. The apparatus 800 may include: a data reporting module 810, a policy receiving module 820 and a policy executing module 830.
A data reporting module 810, configured to report target power consumption data to a server, where the target power consumption data is data related to power consumption collected during an operation process of the target terminal.
A policy receiving module 820, configured to receive a target power consumption policy pushed by the server, where the target power consumption policy is a policy corresponding to a target group to which a user corresponding to the target terminal belongs, and is determined by the server according to the target power consumption data.
A policy execution module 830 for executing the target power consumption policy.
To sum up, in the technical scheme provided in the embodiment of the present application, the power consumption policy pushed by the server is received by reporting the power consumption data to the server, so as to execute the power consumption policy.
Optionally, the policy executing module 830 is configured to:
selecting an executable power consumption strategy which is adapted to the target terminal in the target power consumption strategies;
executing the executable power consumption policy.
Optionally, as shown in fig. 9, the apparatus 800 further includes: a standard receiving module 840 and a representation construction module 850.
And the standard receiving module 840 is configured to receive the power consumption portrait construction standard issued by the server.
And a sketch constructing module 850, configured to construct a target power consumption sketch locally according to the power consumption sketch constructing standard and the target power consumption data.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
Referring to fig. 10, a block diagram of a computer device according to an embodiment of the present application is shown.
The computer device in the embodiment of the present application may include one or more of the following components: a processor 1010 and a memory 1020.
Optionally, the processor 1010, when executing the program instructions in the memory 1020, implements the methods provided by the various method embodiments described above.
The Memory 1020 may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). Optionally, the memory 1020 includes a non-transitory computer-readable medium. The memory 1020 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 1020 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function, instructions for implementing the various method embodiments described above, and the like; the storage data area may store data created according to use of the computer device, and the like.
The structure of the computer device described above is merely illustrative, and in actual implementation, the computer device may include more or less components, such as: a display screen, etc., which are not limited in this embodiment.
Those skilled in the art will appreciate that the configuration shown in FIG. 10 is not intended to be limiting of the computer device 1000, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.
In an exemplary embodiment, a computer readable storage medium is also provided, in which a computer program is stored, which is loaded and executed by a processor of a computer device to implement the steps in the execution method embodiment of the above power consumption policy.
In an exemplary embodiment, a computer-readable storage medium is also provided, in which a computer program is stored, which is loaded and executed by a processor of a computer device to implement the steps in the above-mentioned power consumption policy push method embodiment.
In an exemplary embodiment, a computer program product for implementing the above power consumption policy enforcement method when executed is also provided.
In an exemplary embodiment, a computer program product is also provided for implementing the push method of the power consumption policy described above when executed.
The above description is only exemplary of the application and should not be taken as limiting the application, and any modifications, equivalents, improvements and the like that are made within the spirit and principle of the application should be included in the protection scope of the application.
Claims (15)
1. A method for pushing a power consumption policy, the method being performed by a server, the method comprising:
receiving target power consumption data reported by a target terminal, wherein the target power consumption data is data related to power consumption and collected in the running process of the target terminal;
constructing a target power consumption portrait according to the target power consumption data, wherein the target power consumption portrait is used for representing power consumption characteristics when the target terminal is used, and portrait dimensions of the target power consumption portrait include at least one of the following: the method comprises the following steps of (1) electric quantity sensitivity degree, charging habit, charging times, endurance time, high power consumption application type and high power consumption hardware;
determining a target group to which a user corresponding to the target terminal belongs according to the target power consumption image;
acquiring a target power consumption strategy corresponding to the target group;
determining the level degree of the target power consumption representation according to the target population characteristics corresponding to the target population and the representation dimension of the target power consumption representation, wherein the level degree refers to the level degree of a user corresponding to the target terminal in the target population;
and adjusting the target power consumption strategy according to the level degree, and pushing the adjusted target power consumption strategy to the target terminal, wherein the target terminal is used for executing the target power consumption strategy during operation.
2. The method according to claim 1, wherein the determining the target group to which the target terminal corresponds to the user according to the target power consumption image comprises:
and inputting the target power consumption figure into a clustering model to obtain a crowd classification label corresponding to the target power consumption figure, wherein the clustering model is used for classifying users into preset groups according to the power consumption figure, and the crowd classification label is used for indicating a target group to which the target terminal corresponds and the users belong.
3. The method of claim 2, wherein before inputting the target power consumption profile into the clustering model and obtaining the crowd classification label corresponding to the target power consumption profile, the method further comprises:
receiving sample power consumption data reported by a sample terminal;
constructing a sample power consumption image according to the sample power consumption data;
and when the number of the sample power consumption figures reaches a first number threshold, training the clustering model according to the sample power consumption figures.
4. The method of claim 3, wherein the training the clustering model from the sample power consumption profile comprises:
inputting the sample power consumption image into n candidate clustering models to obtain n clustering results corresponding to the n candidate clustering models, wherein n is an integer greater than or equal to 2, and different candidate clustering models adopt different clustering algorithms;
performing cross training on the n candidate clustering models according to the n clustering results;
and determining any candidate clustering model obtained by training as the clustering model.
5. The method of claim 3, wherein before receiving the power consumption data reported by the target terminal, the method further comprises:
when the number of the sample power consumption data reaches a second number threshold, determining a power consumption portrait construction standard according to the data distribution condition of the sample power consumption data, wherein the power consumption portrait construction standard comprises construction standards of all portrait dimensions in the power consumption portrait;
the constructing of the target power consumption portrait according to the target power consumption data comprises the following steps:
and constructing the target power consumption image according to the target power consumption data and the power consumption image construction standard.
6. The method of claim 5, further comprising:
and issuing the power consumption portrait construction standard to the target terminal, wherein the target terminal is used for locally constructing the target power consumption portrait according to the power consumption portrait construction standard and the target power consumption data.
7. The method according to any one of claims 2 to 6, further comprising:
determining respective group characteristics of the preset groups, wherein the group characteristics are used for representing distinguishing characteristics among different preset groups, and belong to the image dimension of the power consumption image;
and generating a power consumption strategy corresponding to each preset group according to the group characteristics.
8. The method of any of claims 1 to 6, wherein the target power consumption policy comprises at least one of: the method comprises the following steps of switching on and off a power saving mode strategy, adjusting a CPU frequency strategy, adjusting a network state strategy, adjusting a screen state strategy, adjusting a sensor state strategy and adjusting a background management and control strategy.
9. A method for executing a power consumption policy, the method being executed by a terminal, the method comprising:
reporting target power consumption data to a server, wherein the target power consumption data is data related to power consumption and is collected in the running process of a target terminal;
receiving a target power consumption strategy pushed by the server; the target power consumption strategy is a strategy corresponding to a target group to which a user corresponding to the target terminal belongs, which is determined by the server according to the target power consumption data, the target power consumption strategy is adjusted by a level degree of a target power consumption figure corresponding to the target power consumption data, the level degree is determined according to target group characteristics corresponding to the target group and figure dimension of the target power consumption figure, the level degree is the level degree of the user corresponding to the target terminal in the target group, and the figure dimension of the target power consumption figure comprises at least one of the following: the method comprises the following steps of (1) electric quantity sensitivity degree, charging habit, charging times, endurance time, high power consumption application type and high power consumption hardware;
and executing the target power consumption strategy.
10. The method of claim 9, wherein the executing the target power consumption policy comprises:
selecting an executable power consumption strategy which is adapted to the target terminal in the target power consumption strategies;
executing the executable power consumption policy.
11. The method of claim 9, further comprising:
receiving a power consumption portrait construction standard issued by the server;
and locally constructing a target power consumption portrait according to the power consumption portrait construction standard and the target power consumption data.
12. A pushing apparatus of a power consumption policy, the apparatus comprising:
the data receiving module is used for receiving target power consumption data reported by a target terminal, wherein the target power consumption data is data which is collected in the running process of the target terminal and is related to power consumption;
the portrait construction module is used for constructing a target power consumption portrait according to the target power consumption data, the target power consumption portrait is used for representing power consumption characteristics when the target terminal is used, and portrait dimensions of the target power consumption portrait include at least one of the following: the method comprises the following steps of (1) electric quantity sensitivity, charging habit, charging times, endurance time, high-power-consumption application types and high-power-consumption hardware;
the group determining module is used for determining a target group to which the user corresponding to the target terminal belongs according to the target power consumption image;
the strategy pushing module is used for acquiring a target power consumption strategy corresponding to the target group; determining the level degree of the target power consumption portrait according to the target group characteristics corresponding to the target group and the portrait dimension of the target power consumption portrait, wherein the level degree is the level degree of a user corresponding to the target terminal in the target group; and adjusting the target power consumption strategy according to the level degree, and pushing the adjusted target power consumption strategy to the target terminal, wherein the target terminal is used for executing the target power consumption strategy during operation.
13. An apparatus for enforcing a power consumption policy, the apparatus comprising:
the data reporting module is used for reporting target power consumption data to the server, wherein the target power consumption data are data which are collected in the running process of the target terminal and are related to power consumption;
the strategy receiving module is used for receiving a target power consumption strategy pushed by the server; the target power consumption policy is a policy corresponding to a target group to which the target terminal corresponds and determined by the server according to the target power consumption data, the target power consumption policy is adjusted by a level degree of a target power consumption figure corresponding to the target power consumption data, the level degree is determined according to target group characteristics corresponding to the target group and figure dimensions of the target power consumption figure, the level degree is a level degree of the target terminal corresponding to the user in the target group, and the figure dimensions of the target power consumption figure include at least one of the following: the method comprises the following steps of (1) electric quantity sensitivity, charging habit, charging times, endurance time, high-power-consumption application types and high-power-consumption hardware;
and the strategy execution module is used for executing the target power consumption strategy.
14. A computer device, characterized in that the computer device comprises a processor and a memory, the memory storing a computer program which is loaded and executed by the processor to implement the push method of the power consumption policy according to any one of claims 1 to 8 or the execution method of the power consumption policy according to any one of claims 9 to 11.
15. A computer-readable storage medium, in which a computer program is stored, which is loaded and executed by a processor to implement the push method of the power consumption policy according to any one of claims 1 to 8, or to implement the execution method of the power consumption policy according to any one of claims 9 to 11.
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