CN110543403B - Power consumption assessment method and device - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
- G06F11/3062—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations where the monitored property is the power consumption
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
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- 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
Abstract
The application relates to a power consumption assessment method and device, and belongs to the field of communication. The method comprises the following steps: acquiring a first factor of an application to be evaluated, wherein the first factor is a factor influencing terminal power consumption in the application to be evaluated; invoking a power consumption evaluation model, wherein the power consumption evaluation model is a nonlinear model, an independent variable of the power consumption evaluation module is the first factor, and an independent variable of the power consumption evaluation model is the power consumption obtained based on the first factor; and determining a first power consumption amount consumed in a unit time period when the terminal runs the application to be evaluated by the first factor through the power consumption evaluation model according to the first factor. The method and the device can evaluate the power consumption condition of the terminal caused by various factors of the application.
Description
Technical Field
The present disclosure relates to the field of communications, and in particular, to a method and apparatus for power consumption assessment.
Background
Mobile terminals play an indispensable important role in the life of people, for example, mobile phones are commonly used by people, and are widely used in various aspects such as people communication, work and entertainment, and have become an indispensable tool.
The standby time of the mobile terminal is one of the problems of pain affecting the user experience of using the mobile terminal. In order to prolong the standby time, each application manufacturer tries to optimize the application so as to reduce the power consumption of the application on the mobile terminal and achieve the purpose of prolonging the standby time.
Before optimizing the application, the application manufacturer needs to evaluate which factors of the application consume large power consumption and which factors consume small power consumption, so that the application can be optimized based on the evaluation result. However, there is no method for evaluating consumption of power consumption corresponding to each factor of the application.
Disclosure of Invention
The embodiment of the application provides a method and a device for evaluating power consumption, so as to evaluate the power consumption condition of each factor of an application on a terminal. The technical scheme is as follows:
in one aspect, the present application provides a method for power consumption assessment, the method comprising:
acquiring a first factor of an application to be evaluated, wherein the first factor is a factor influencing terminal power consumption in the application to be evaluated;
invoking a power consumption evaluation model, wherein the power consumption evaluation model is a nonlinear model, an independent variable of the power consumption evaluation module is the first factor, and an independent variable of the power consumption evaluation model is the power consumption obtained based on the first factor;
And determining a first power consumption amount consumed in a unit time period when the terminal runs the application to be evaluated by the first factor through the power consumption evaluation model according to the first factor.
Optionally, before the at least one first factor is input to the power consumption evaluation model, the method further includes:
acquiring factor sets and second power consumption amounts of m terminals, wherein the factor sets of the terminals comprise at least one second factor adopted by the terminals in running the application to be evaluated, the second power consumption is the power consumption amount consumed by the terminals in running the application to be evaluated by the factor sets, and m is an integer greater than 1;
and constructing the power consumption evaluation model according to the factor sets of the m terminals and the second power consumption amount.
Optionally, the power consumption evaluation model is a nonlinear function, and the constructing the power consumption evaluation model according to the factor set of the m terminals includes:
fitting the weight and bias of the power consumption evaluation model according to the factor sets of the m terminals;
and generating a power consumption evaluation model taking the first factor as an independent variable and the first power consumption amount as an independent variable according to the weight and the bias.
Optionally, the application to be evaluated is a video playing application, and the second factor in the factor set of the terminal includes at least one of a video frame rate, a video resolution, a video decoding mode, a screen brightness of the terminal, a network condition of the terminal, a positioning system switch condition of the terminal, a current charging condition of the terminal, or model information of the terminal adopted by the application to be evaluated.
Optionally, the second power consumption amount consumed by the terminal when the terminal runs the application to be evaluated is the power consumption amount consumed by the terminal when the terminal runs the application to be evaluated in a unit time period, or is the power consumption amount consumed by the terminal when the terminal runs the application to be evaluated at one time.
In another aspect, the present application provides an apparatus for power consumption assessment, the apparatus comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a first factor of an application to be evaluated, wherein the first factor is a factor influencing the power consumption of a terminal in the application to be evaluated;
the power consumption evaluation module is used for acquiring the independent variable of the power consumption evaluation module, and the independent variable of the power consumption evaluation module is the power consumption obtained based on the first factor;
and the determining module is used for determining a first power consumption amount consumed in a unit time period when the terminal runs the application to be evaluated by the first factor through the power consumption evaluation model according to the first factor.
Optionally, the apparatus further includes:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring factor sets of m terminals and second power consumption, the factor sets of the terminals comprise at least one second factor adopted by the terminals in running the application to be evaluated, the second power consumption is the power consumption consumed by the terminals in running the application to be evaluated by the factor sets, and m is an integer greater than 1;
And the construction module is used for constructing the power consumption evaluation model according to the factor sets of the m terminals and the second power consumption amount.
Optionally, the power consumption evaluation model is a nonlinear function, and the building module includes:
the fitting unit is used for fitting the weight and bias of the power consumption evaluation model according to the factor sets of the m terminals;
and the generating unit is used for generating a power consumption evaluation model taking the first factor as an independent variable and the first power consumption amount as an independent variable according to the weight and the bias.
In another aspect, the present application provides an electronic device, including:
a processor and a memory for storing at least one instruction, the at least one instruction being loaded and executed by the processor to implement the method of power consumption assessment described above.
In another aspect, the present application provides a computer-readable medium storing at least one instruction that, when executed on a computer, cause the computer to implement the method of power consumption assessment described above.
The technical scheme provided by the embodiment of the application can comprise the following beneficial effects:
the method includes the steps of inputting a first factor into a power consumption evaluation model, and determining a first power consumption amount of a terminal consumed in a unit time period when the terminal runs an application to be evaluated with the first factor through the power consumption evaluation model. Therefore, the corresponding power consumption amount when the terminal runs the application with different factors can be estimated through the power consumption estimation model, and a technician can optimize the application based on the power consumption amount.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic diagram of a network architecture according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for power consumption assessment provided by an embodiment of the present application;
FIG. 3 is a flow chart of another method for power consumption assessment provided by an embodiment of the present application;
FIG. 4 is a schematic diagram of a device for power consumption assessment according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram of a terminal structure according to an embodiment of the present application;
fig. 6 is a schematic diagram of another device structure for power consumption assessment according to an embodiment of the present application.
Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
Referring to fig. 1, an embodiment of the present application provides a system architecture, including:
a network connection may be established between the terminal 1 and the server 2 in a communication network between the terminal 1 and the server 2.
An application may be installed in the terminal 1, which is run by different factors, which consumes different power consumption of the terminal 1.
The application can be a mobile terminal application, a video playing application or a game application, etc., and the video playing application can be a video player or a video live broadcast application or other applications in a video scene, etc.
In this embodiment, a video playing video will be described as an example. For the video playing application, the factors influencing the consumption of the power consumption of the video playing application to the terminal include at least one factor such as video frame rate, video resolution, video decoding mode, screen brightness of the terminal 1, network condition of the terminal 1, switch condition of a positioning module of the terminal 1, current charging condition of the terminal 1 or model information of the terminal 1. Of course, when the application is of another type, the factor may also be a factor of power consumption of the terminal by the other application.
When the video playing application is run on the terminal 1 with different factors, the terminal 1 can collect at least one factor used by the terminal 1 when the terminal runs the application, so as to obtain a factor set corresponding to the terminal 1. When the video playback application is running on the terminal 1 with different factors, the video playback application consumes different power consumption of the terminal 1 in a unit period of time.
The factor currently used by the terminal 1 is referred to as a second factor. At least one second factor collected by the terminal 1 is a factor that may have an influence on the power consumption of the terminal 1.
The terminal 1 also collects the amount of power consumption it consumes in running the application, which is referred to as the second amount of power consumption for ease of explanation. The second power consumption amount may be the power consumption amount consumed by the terminal 1 to run the application for a unit time period, or the total power consumption amount consumed by the terminal 1 to run the application once.
The terminal 1 may establish a network connection with the server 2 over which the set of factors and the second amount of power consumption of the terminal 1 are transmitted to the server 1.
The server 2 receives the factor set and the second power consumption amount of the terminal 1, and correspondingly stores the factor set and the second power consumption amount of the terminal 1 in a corresponding relation between the factor set and the second power consumption amount of the terminal.
The server 2 may establish network connection with the terminals 1 of different users, and receive the factor set and the second power consumption amount of the terminals sent by the terminals 1 of different users, and correspondingly store the corresponding relationship between the factor set and the second power consumption amount of the terminals.
Then, the server 2 may train a power consumption evaluation model based on the correspondence between the factor set of the terminal and the second power consumption amount, so that the power consumption amount of the terminal 1 consumed by the application in a unit time period when the application is run by the terminal 1 with a certain factor can be evaluated based on the power consumption evaluation model. So that the skilled person can optimize the application based on the estimated amount of power consumption.
The time length of the unit time period is a preset time length. For example, the preset time period may be 10 minutes, 15 minutes, 20 minutes, or the like, and specific values of the preset time period are limited herein.
Alternatively, the terminal 1 may be a mobile terminal, for example, a mobile phone or a tablet computer.
Referring to fig. 2, an embodiment of the present application provides a method for power consumption assessment, the method including:
step 201: and acquiring a first factor of the application to be evaluated, wherein the first factor is a factor influencing the power consumption of the terminal in the application to be evaluated.
The first factor may be a factor that the technician adjusts to the factors of the application to be evaluated. For example, assume that the application to be evaluated is a video application, and the adopted encoding and decoding mode is a GPU rendering mode. The technician modifies the codec mode to the H265 codec mode. The first factor is the H265 codec mode modified by the technician.
Step 202: and calling a power consumption evaluation model, wherein the power consumption evaluation model is a nonlinear model, the independent variable of the power consumption evaluation module is a first factor, and the dependent variable of the power consumption evaluation model is the power consumption obtained based on the first factor.
Step 203: and determining a first power consumption amount consumed in a unit time period when the terminal runs the application to be evaluated by the first factor through the power consumption evaluation model according to the first factor.
In the embodiment of the application, a first factor of an application to be evaluated is obtained, and a first power consumption amount of a terminal is determined through a power consumption evaluation model, wherein the first power consumption amount of the terminal is consumed in a unit time period when the terminal runs the application to be evaluated with the first factor. Therefore, the corresponding power consumption amount when the terminal runs the application with different factors can be estimated through the power consumption estimation model, and a technician can optimize the application based on the power consumption amount.
Referring to fig. 3, an embodiment of the present application provides a method for evaluating power consumption, where the method may apply the network architecture shown in fig. 1, and the method execution body may be a server in the network architecture, and includes:
Step 301: and receiving factor sets of m terminals and second power consumption, wherein the factor sets of the terminals comprise at least one second factor adopted by the terminals in running the application to be evaluated, and the second power consumption is consumed by the terminals in running the application to be evaluated with the factor sets.
The terminal may run the application to be evaluated, and the terminal may collect at least one second factor employed to run the application when running the application to be evaluated, and collect a second amount of power consumption consumed when running the application.
The application to be evaluated may be a video playing application or a game application, etc. Taking the application to be evaluated as the video playing application as an example, the second factor in the factor set of the terminal includes at least one of video frame rate, video resolution, video decoding mode, screen brightness of the terminal, network condition of the terminal, positioning system switch condition of the terminal, current charging condition of the terminal or model information of the terminal adopted by the application to be evaluated.
The video playing application may be a video player or a video live application, etc. When the video playing application is a video player, the video player plays a video file, and contents such as video frame rate, video resolution, video decoding mode and the like are stored in the video file. The terminal can read the contents such as video frame rate, video resolution, video decoding mode and the like from the video file played by the video player. When the video playing application is a video live application, the configuration items of the video live application comprise video frame rate, video resolution, video decoding mode and the like. The terminal can directly read the contents such as video frame rate, video resolution, video decoding mode and the like from the configuration items of the video live broadcast application.
The video decoding method may be one including a hardware codec method, a graphics processor (Graphics Processing Unit, GPU) rendering method, an H264 codec method, an H265 codec method, or the like. In this step, the video decoding method may be represented by a quantization value, and for example, a hardware codec method may be represented by a quantization value 0, a GPU rendering method may be represented by a quantization value 1, an H264 codec method may be represented by a quantization value 2, and an H265 codec method may be represented by a quantization value 3. Of course, the above quantized values are only examples, and other quantized values may be used to represent the four video decoding modes, which are not listed here.
The terminal can directly acquire at least one of screen brightness, network condition, positioning system switch condition, current charging condition or model information and the like.
The network condition of the terminal refers to whether the terminal is currently connected to the communication network, and in this step, a quantized value may be used to indicate whether the terminal is currently connected to the communication network. For example, a quantized value of 0 indicates that the terminal is not currently connected to the communication network, and a quantized value of 1 indicates that the terminal is currently connected to the communication network. Alternatively, a quantized value of 1 is used to indicate that the terminal is not currently connected to the communication network, and a quantized value of 0 is used to indicate that the terminal is currently connected to the communication network.
In the case of connecting a communication network, the network condition of the terminal may further include a connected communication network type, and the communication network type may be a wifi, 4G, 5G or other network type. In this step, a quantized value may be used to indicate whether the terminal is currently connected to the communication network. For example, a quantization value of 0 is used to indicate that the type of communication network to which the terminal is currently connected is wifi, and a quantization value of 1 is used to indicate that the type of communication network to which the terminal is currently connected is 4G. The quantized value 3 is used to indicate that the type of communication network to which the terminal is currently connected is 5G.
The switching condition of the positioning system of the terminal refers to whether the positioning system of the terminal is currently on or off, and in this step, a quantized value may be used to indicate whether the positioning system of the terminal is currently on or off. For example, a quantization value of 0 indicates that the positioning system of the terminal is currently on, and a quantization value of 1 indicates that the positioning system of the terminal is currently off. Alternatively, a quantization value of 1 indicates that the positioning system of the terminal is currently on and a quantization value of 0 indicates that the positioning system of the terminal is currently off.
The current charging condition of the terminal means whether the terminal is currently connected to the power supply for charging, and in this step, a quantized value may be used to indicate whether the terminal is currently connected to the power supply for charging. For example, a quantized value of 0 indicates that the terminal is not currently connected to the power supply charge, and a quantized value of 1 indicates that the terminal is currently connected to the power supply charge. Alternatively, a quantized value of 1 indicates that the terminal is not currently connected to the power supply charge, and a quantized value of 0 indicates that the terminal is connected to the power supply charge.
The second power consumption amount of the terminal may be the power consumption amount consumed by the terminal to run the application to be evaluated in a unit time period, or the second power consumption amount of the terminal may be the total power consumption amount consumed by the terminal to run the application to be evaluated once.
The terminal can read the current power consumption of the terminal when the application to be evaluated starts to run, then read the current power consumption every preset time length, and calculate the power consumption amount consumed by the terminal for running the application to be evaluated in a unit time period according to the current power consumption and the last power consumption. The terminal then sends the set of factors and the second amount of power consumption of the terminal to the server. Or,
the terminal can read the current power consumption of the terminal when the application to be evaluated starts to run, then read the current power consumption when the application to be evaluated ends to run, and calculate the power consumption amount consumed by the terminal for running the application to be evaluated once according to the power consumption read twice. The terminal then sends the set of factors and the second amount of power consumption of the terminal to the server.
The server receives the factor set and the second power consumption sent by the terminal, and correspondingly stores the factor set and the second power consumption of the terminal in the corresponding relation between the factor set and the second power consumption of the terminal.
For other user terminals, the other user terminals also send the set of factors and the second amount of power consumption to the server in the manner described above. The server receives the factor set and the second power consumption amount sent by the terminals of other users, and correspondingly stores the factor set and the second power consumption amount of the terminals of the other users in the corresponding relation between the factor set and the second power consumption amount of the terminals.
Step 302: and training a power consumption evaluation model according to the factor sets of the m terminals and the second power consumption amount.
The power consumption evaluation model may be a nonlinear model, where the nonlinear model uses factors adopted by the terminal to run the application to be evaluated as independent variables and uses the amount of power consumption consumed by the terminal to run the application to be evaluated as dependent variables.
The power consumption assessment model may be a deep learning network comprising one or more layers of network.
In this step, this can be achieved by the operations of 3021 to 3022 as follows. The operations of 3021 to 3022 are respectively:
3021: and adjusting network parameters of the power consumption evaluation model according to the factor sets of the m terminals, wherein the network parameters comprise weights and biases.
In this step, for the j-th terminal of the m terminals, the second factor included in the factor set of the j-th terminal is formed into a factor vector. Assuming that the factor set of the j-th terminal includes n second factors, the n second factors are x respectively 1j 、x 2j 、……、x nj . The n second factors constitute the factor vector of the terminal as [ x ] 1j ，x 2j ，……，x nj ]. And constructing a power consumption model of the j-th terminal according to the factor vector and the second power consumption amount of the j-th terminal, wherein the power consumption model is shown in the first formula.
The first formula is:
in the first formula, w ij And the weight vector is the weight vector of the j-th terminal, and comprises the weight corresponding to each second factor in the factor set of the j-th terminal, wherein the weight corresponding to each second factor is an unknown quantity. Weight vector w ij Is [ w ] 1j 、w 2j 、……、w nj ]. b is the bias, which is also unknown at this time. y is j A second amount of power consumption for the j-th terminal.
And constructing a power consumption model corresponding to each of the m terminals in the above manner, and forming the power consumption model of each terminal into a power consumption evaluation model of the m terminals, wherein the power consumption evaluation model of the m terminals is shown in the following second formula.
The second formula is:
constructing the m terminalsAfter the power consumption evaluation model of (2), the weight vector w corresponding to each terminal needs to be solved ij And a bias b. In the step, the weight vector w corresponding to each terminal can be solved by using a deep learning network ij And bias b, the solving process may be:
(1): the deep learning network initializes the weight vector w corresponding to each terminal ij An initial value of b and an initial value of bias b.
The deep learning network can use the weight vector w corresponding to each terminal ij The initial value of (a) and the initial value of the offset b are both set to preset values. Assuming that the preset value is 1, the weight vector w corresponding to each terminal ij Is 1 and the offset b is also 1.
(2): and the deep learning network acquires the third power consumption of each terminal according to the factor vector of each terminal through the second formula.
(3): and the deep learning network calculates the difference between the second power consumption and the third power consumption of each terminal to obtain the power consumption difference corresponding to each terminal.
(4): when the power consumption difference value greater than or equal to the preset threshold exists in the power consumption difference values corresponding to each terminal, the deep learning network adjusts the weight vector w corresponding to each terminal according to the difference value of each terminal ij And the value of bias b, and returns to execution (2).
(5): when the power consumption difference value of each terminal is smaller than a preset threshold value, the weight vector of each terminal is formed into a weight matrix, the weight matrix is used as the weight of the power consumption evaluation model, and the bias b is used as the bias of the power consumption evaluation model.
3022: and generating a power consumption evaluation model taking the first factor as an independent variable and the first power consumption amount as an independent variable according to the weight of the power consumption evaluation model and the bias.
The constructed power consumption evaluation model may be shown in the following third formula. Of course, the following third formula is only an example of a power consumption evaluation model, and may be other forms, which are not listed here.
The third formula is:
in the third formula of the present invention,is a weight matrix, namely the weight of the power consumption evaluation model, and b is the bias of the power consumption evaluation model
After the power consumption evaluation model is constructed, the power consumption evaluation model can be used for evaluating the power consumption amount consumed by the terminal when the application to be evaluated runs in a unit time period by using a certain factor. For ease of description, this factor is referred to as the first factor.
Step 303: and acquiring a first factor of the application to be evaluated, wherein the first factor is a factor influencing the power consumption of the terminal in the application to be evaluated.
The first factor may be a factor that the technician adjusts to the factors of the application to be evaluated. For example, assume that the application to be evaluated is a video application, and the adopted encoding and decoding mode is a GPU rendering mode. The technician modifies the GPU rendering mode of the application to be evaluated into an H265 encoding and decoding mode. The first factor is the H265 codec mode modified by the technician. The technician needs to evaluate the terminal and the first power consumption amount when the H265 codec mode operates to determine whether the modified H265 codec mode affects the application to be evaluated, so as to reduce the consumed power consumption amount or increase the consumed power consumption amount.
In this step, the first factor may be entered when the technician needs to evaluate some of the first factor. Accordingly, a first factor of the input is received.
Step 304: and calling a power consumption evaluation model, and acquiring a first power consumption amount output by the terminal in a unit time period by running the application to be evaluated by a first factor through the power consumption evaluation model.
In this step, a first factor is input as an argument to the power consumption evaluation model, and a first power consumption amount is calculated by the power consumption evaluation model.
In the embodiment of the application, the second factors and the second power consumption amount adopted by a large number of terminal running applications are collected, and the power consumption evaluation model with higher precision can be constructed based on the second factors and the second power consumption amount adopted by the large number of terminal running applications, so that the precision of the power consumption amount evaluated by the power consumption evaluation model can be improved. When a certain factor is evaluated, the factor is input into the power consumption evaluation model, and the power consumption corresponding to the factor can be obtained through the power consumption evaluation model, so that a technician can optimize the application based on the power consumption corresponding to the factor.
The following are device embodiments of the present application, which may be used to perform method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.
Referring to fig. 4, an embodiment of the present application provides an apparatus 400 for power consumption assessment, where the apparatus 400 may be deployed in the server of any of the foregoing embodiments, and includes:
an obtaining module 401, configured to obtain a first factor of an application to be evaluated, where the first factor is a factor affecting power consumption of a terminal in the application to be evaluated;
a calling module 402, configured to call a power consumption evaluation model, where the power consumption evaluation model is a nonlinear model, an argument of the power consumption evaluation module is the first factor, and an argument of the power consumption evaluation model is power consumption obtained based on the first factor;
a determining module 403, configured to determine, according to the first factor, a first power consumption amount consumed in a unit time period when the terminal runs the application to be evaluated with the first factor through the power consumption evaluation model.
Optionally, the apparatus 400 further includes:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring factor sets of m terminals and second power consumption, the factor sets of the terminals comprise at least one second factor adopted by the terminals in running the application to be evaluated, the second power consumption is the power consumption consumed by the terminals in running the application to be evaluated by the factor sets, and m is an integer greater than 1;
And the construction module is used for constructing the power consumption evaluation model according to the factor sets of the m terminals and the second power consumption amount.
Optionally, the building module includes:
the fitting unit is used for fitting the weight and bias of the power consumption evaluation model according to the factor sets of the m terminals;
and the generating unit is used for generating a power consumption evaluation model taking the first factor as an independent variable and the first power consumption amount as an independent variable according to the weight and the bias.
Optionally, the application to be evaluated is a video playing application, and the second factor in the factor set of the terminal includes at least one of a video frame rate, a video resolution, a video decoding mode, a screen brightness of the terminal, a network condition of the terminal, a positioning system switch condition of the terminal, a current charging condition of the terminal, or model information of the terminal adopted by the application to be evaluated.
Optionally, the second power consumption amount consumed by the terminal when the terminal runs the application to be evaluated is the power consumption amount consumed by the terminal when the terminal runs the application to be evaluated in a unit time period, or is the power consumption amount consumed by the terminal when the terminal runs the application to be evaluated at one time.
In the embodiment of the application, the acquisition module acquires a first factor of the application to be evaluated, and the determination module determines, through the power consumption evaluation model, a first power consumption amount of the terminal consumed in a unit time period when the terminal runs the application to be evaluated with the first factor. Therefore, the corresponding power consumption amount when the terminal runs the application with different factors can be estimated through the power consumption estimation model, and a technician can optimize the application based on the power consumption amount.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
Fig. 5 shows a block diagram of a terminal 500 according to an exemplary embodiment of the present invention. The terminal 500 may be a portable mobile terminal such as: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion picture expert compression standard audio plane 3), an MP4 (Moving Picture Experts Group Audio Layer IV, motion picture expert compression standard audio plane 4) player, a notebook computer, or a desktop computer. The terminal 500 may also be referred to by other names of user devices, portable terminals, laptop terminals, desktop terminals, etc.
In general, the terminal 500 includes: a processor 501 and a memory 502.
Processor 501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 501 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 501 may also include a main processor and a coprocessor, the main processor being a processor for processing data in an awake state, also referred to as a CPU (Central Processing Unit ); a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 501 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and drawing of content required to be displayed by the display screen. In some embodiments, the processor 501 may also include an AI (Artificial Intelligence ) processor for processing computing operations related to machine learning.
Memory 502 may include one or more computer-readable storage media, which may be non-transitory. Memory 502 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 502 is used to store at least one instruction for execution by processor 501 to perform the operations performed by the terminal in step 201 of the method embodiments of the present application.
In some embodiments, the terminal 500 may further optionally include: a peripheral interface 503 and at least one peripheral. The processor 501, memory 502, and peripheral interface 503 may be connected by buses or signal lines. The individual peripheral devices may be connected to the peripheral device interface 503 by buses, signal lines or circuit boards. Specifically, the peripheral device includes: at least one of radio frequency circuitry 504, touch display 505, camera 506, audio circuitry 507, positioning component 508, and power supply 509.
Peripheral interface 503 may be used to connect at least one Input/Output (I/O) related peripheral to processor 501 and memory 502. In some embodiments, processor 501, memory 502, and peripheral interface 503 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 501, memory 502, and peripheral interface 503 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.
The Radio Frequency circuit 504 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuitry 504 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 504 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 504 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuitry 504 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: the world wide web, metropolitan area networks, intranets, generation mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity ) networks. In some embodiments, the radio frequency circuitry 504 may also include NFC (Near Field Communication ) related circuitry, which is not limited in this application.
The display 505 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 505 is a touch display, the display 505 also has the ability to collect touch signals at or above the surface of the display 505. The touch signal may be input as a control signal to the processor 501 for processing. At this time, the display 505 may also be used to provide virtual buttons and/or virtual keyboards, also referred to as soft buttons and/or soft keyboards. In some embodiments, the display 505 may be one, providing a front panel of the terminal 500; in other embodiments, the display 505 may be at least two, respectively disposed on different surfaces of the terminal 500 or in a folded design; in still other embodiments, the display 505 may be a flexible display disposed on a curved surface or a folded surface of the terminal 500. Even more, the display 505 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The display 505 may be made of LCD (Liquid Crystal Display ), OLED (Organic Light-Emitting Diode) or other materials.
The camera assembly 506 is used to capture images or video. Optionally, the camera assembly 506 includes a front camera and a rear camera. Typically, the front camera is disposed on the front panel of the terminal and the rear camera is disposed on the rear surface of the terminal. In some embodiments, the at least two rear cameras are any one of a main camera, a depth camera, a wide-angle camera and a tele camera, so as to realize that the main camera and the depth camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting and Virtual Reality (VR) shooting function or other fusion shooting functions. In some embodiments, camera assembly 506 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The dual-color temperature flash lamp refers to a combination of a warm light flash lamp and a cold light flash lamp, and can be used for light compensation under different color temperatures.
The audio circuitry 507 may include a microphone and a speaker. The microphone is used for collecting sound waves of users and environments, converting the sound waves into electric signals, and inputting the electric signals to the processor 501 for processing, or inputting the electric signals to the radio frequency circuit 504 for voice communication. For the purpose of stereo acquisition or noise reduction, a plurality of microphones may be respectively disposed at different portions of the terminal 500. The microphone may also be an array microphone or an omni-directional pickup microphone. The speaker is used to convert electrical signals from the processor 501 or the radio frequency circuit 504 into sound waves. The speaker may be a conventional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only the electric signal can be converted into a sound wave audible to humans, but also the electric signal can be converted into a sound wave inaudible to humans for ranging and other purposes. In some embodiments, audio circuitry 507 may also include a headphone jack.
The location component 508 is used to locate the current geographic location of the terminal 500 to enable navigation or LBS (Location Based Service, location-based services). The positioning component 508 may be a positioning component based on the United states GPS (Global Positioning System ), the Beidou system of China, or the Galileo system of Russia.
A power supply 509 is used to power the various components in the terminal 500. The power supply 509 may be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 509 comprises a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, the terminal 500 further includes one or more sensors 510. The one or more sensors 510 include, but are not limited to: an acceleration sensor 511, a gyro sensor 512, a pressure sensor 513, a fingerprint sensor 514, an optical sensor 515, and a proximity sensor 516.
The acceleration sensor 511 can detect the magnitudes of accelerations on three coordinate axes of the coordinate system established with the terminal 500. For example, the acceleration sensor 511 may be used to detect components of gravitational acceleration on three coordinate axes. The processor 501 may control the touch display 505 to display a user interface in a landscape view or a portrait view according to a gravitational acceleration signal acquired by the acceleration sensor 511. The acceleration sensor 511 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 512 may detect a body direction and a rotation angle of the terminal 500, and the gyro sensor 512 may collect a 3D motion of the user to the terminal 500 in cooperation with the acceleration sensor 511. The processor 501 may implement the following functions based on the data collected by the gyro sensor 512: motion sensing (e.g., changing UI according to a tilting operation by a user), image stabilization at shooting, game control, and inertial navigation.
The pressure sensor 513 may be disposed at a side frame of the terminal 500 and/or at a lower layer of the touch display 505. When the pressure sensor 513 is disposed at a side frame of the terminal 500, a grip signal of the user to the terminal 500 may be detected, and the processor 501 performs left-right hand recognition or quick operation according to the grip signal collected by the pressure sensor 513. When the pressure sensor 513 is disposed at the lower layer of the touch display screen 505, the processor 501 controls the operability control on the UI interface according to the pressure operation of the user on the touch display screen 505. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.
The fingerprint sensor 514 is used for collecting the fingerprint of the user, and the processor 501 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 514, or the fingerprint sensor 514 identifies the identity of the user according to the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the user is authorized by the processor 501 to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying for and changing settings, etc. The fingerprint sensor 514 may be provided on the front, back or side of the terminal 500. When a physical key or a vendor Logo is provided on the terminal 500, the fingerprint sensor 514 may be integrated with the physical key or the vendor Logo.
The optical sensor 515 is used to collect the ambient light intensity. In one embodiment, the processor 501 may control the display brightness of the touch screen 505 based on the ambient light intensity collected by the optical sensor 515. Specifically, when the intensity of the ambient light is high, the display brightness of the touch display screen 505 is turned up; when the ambient light intensity is low, the display brightness of the touch display screen 505 is turned down. In another embodiment, the processor 501 may also dynamically adjust the shooting parameters of the camera assembly 506 based on the ambient light intensity collected by the optical sensor 515.
A proximity sensor 516, also referred to as a distance sensor, is typically provided on the front panel of the terminal 500. The proximity sensor 516 serves to collect a distance between the user and the front surface of the terminal 500. In one embodiment, when the proximity sensor 516 detects that the distance between the user and the front of the terminal 500 gradually decreases, the processor 501 controls the touch display 505 to switch from the bright screen state to the off screen state; when the proximity sensor 516 detects that the distance between the user and the front surface of the terminal 500 gradually increases, the processor 501 controls the touch display 505 to switch from the off-screen state to the on-screen state.
Those skilled in the art will appreciate that the structure shown in fig. 5 is not limiting and that more or fewer components than shown may be included or certain components may be combined or a different arrangement of components may be employed.
Fig. 6 is a block diagram illustrating an apparatus 600 for power consumption assessment, according to an example embodiment. For example, the apparatus 600 may be provided as a server. Referring to fig. 6, apparatus 600 includes a processing component 622 that further includes one or more processors and memory resources represented by memory 632 for storing instructions, such as application programs, executable by processing component 622. The application programs stored in memory 632 may include one or more modules each corresponding to a set of instructions. Further, the processing component 622 is configured to execute instructions to perform the methods of power consumption assessment described above.
The apparatus 600 may also include a power component 626 configured to perform power management of the apparatus 600, a wired or wireless network interface 650 configured to connect the apparatus 600 to a network, and an input output (I/O) interface 658. The apparatus 600 may operate based on an operating system stored in the memory 632, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, or the like.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (5)
1. A method for power consumption assessment, wherein an execution subject of the method is a server, the method comprising:
acquiring a factor set and a second power consumption amount of m terminals, wherein the factor set of the terminals comprises at least one second factor adopted by the terminals in running an application to be evaluated, the application to be evaluated is a video playing application, the at least one second factor comprises a video frame rate, a video resolution, screen brightness, a network condition, a positioning system switching condition, a current charging condition, model information and a video decoding mode adopted by the terminals, the video decoding mode comprises a hardware encoding and decoding mode, a graphic processor rendering mode, an H264 encoding and decoding mode or an H265 encoding and decoding mode, the network condition comprises a communication network type connected with the terminals, the second power consumption is the power consumption amount consumed by the terminals in running the application to be evaluated by the factor set, and m is an integer greater than 1;
Forming a factor vector by a second factor included in the factor set of each terminal, and constructing a power consumption model of each terminal according to the factor vector and the second power consumption of each terminal;
the power consumption model of each terminal is formed into power consumption evaluation models corresponding to the m terminals;
and solving by using a deep learning network, wherein the solving process comprises the steps of:
setting the initial value of the weight vector and the initial value of the bias corresponding to each terminal as preset values, solving the third power consumption of each terminal according to the factor vector of each terminal and the power consumption evaluation model, and calculating the difference between the second power consumption and the third power consumption of each terminal to obtain the power consumption difference corresponding to each terminal;
when the power consumption difference value which is larger than or equal to a preset threshold exists in the power consumption difference value corresponding to each terminal, adjusting the value of the weight vector and the value of the bias corresponding to each terminal in the power consumption evaluation model according to the difference value of each terminal, and turning to execute the factor vector according to each terminal and the power consumption evaluation model to solve the third power consumption of each terminal;
When the power consumption difference value of each terminal is smaller than the preset threshold value, generating a nonlinear power consumption evaluation model which takes a first factor as an independent variable and takes a first power consumption amount as a dependent variable according to a weight matrix formed by weight vectors of each terminal and the bias of each terminal;
acquiring a first factor of the application to be evaluated, wherein the first factor is a video decoding mode of the application to be evaluated after adjustment;
invoking the nonlinear power consumption assessment model;
and determining a first power consumption amount consumed in a unit time period when the terminal runs the application to be evaluated by the first factor through the nonlinear power consumption evaluation model according to the first factor.
2. The method of claim 1, wherein the second amount of power consumption consumed by the terminal when running the application under evaluation is the amount of power consumption consumed by the terminal when running the application under evaluation in a unit time period, or the amount of power consumption consumed by the terminal when running the application under evaluation at a time.
3. An apparatus for power consumption assessment, the apparatus being applied to a server, the apparatus comprising:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring a factor set and a second power consumption amount of m terminals, the factor set of the terminals comprises at least one second factor adopted by the terminals in running an application to be evaluated, the application to be evaluated is a video playing application, the at least one second factor comprises a video frame rate, a video resolution, screen brightness, a network condition, a positioning system switch condition, a current charging condition, model information and a video decoding mode adopted by the terminals, the video decoding mode comprises a hardware encoding and decoding mode, a graphic processor rendering mode, an H264 encoding and decoding mode or an H265 encoding and decoding mode, the network condition comprises a communication network type connected with the terminals, the second power consumption is the power consumption amount consumed by the terminals in running the application to be evaluated by the factor set, and m is an integer greater than 1;
The fitting unit is used for forming a factor vector by a second factor included in the factor set of each terminal, and constructing a power consumption model of each terminal according to the factor vector and the second power consumption of each terminal; the power consumption model of each terminal is formed into power consumption evaluation models corresponding to the m terminals;
the generating unit is used for solving out by using a deep learning network, the weight vector and the bias corresponding to each terminal in the power consumption evaluation model are adopted, and the solving process comprises the following steps: setting the initial value of the weight vector and the initial value of the bias corresponding to each terminal as preset values, solving the third power consumption of each terminal according to the factor vector of each terminal and the power consumption evaluation model, and calculating the difference between the second power consumption and the third power consumption of each terminal to obtain the power consumption difference corresponding to each terminal; when the power consumption difference value which is larger than or equal to a preset threshold exists in the power consumption difference value corresponding to each terminal, adjusting the value of the weight vector and the value of the bias corresponding to each terminal in the power consumption evaluation model according to the difference value of each terminal, and turning to execute the factor vector according to each terminal and the power consumption evaluation model to solve the third power consumption of each terminal; when the power consumption difference value of each terminal is smaller than the preset threshold value, generating a nonlinear power consumption evaluation model which takes a first factor as an independent variable and takes a first power consumption amount as a dependent variable according to a weight matrix formed by weight vectors of each terminal and the bias of each terminal;
The acquisition module is used for acquiring a first factor of the application to be evaluated, wherein the first factor is a video decoding mode of the application to be evaluated after adjustment;
the calling module is used for calling the nonlinear power consumption evaluation model, and the power consumption evaluation model is a nonlinear model;
and the determining module is used for determining a first power consumption amount consumed in a unit time period when the terminal runs the application to be evaluated by the first factor through the nonlinear power consumption evaluation model according to the first factor.
4. An electronic device, comprising:
a processor and a memory for storing at least one instruction, the at least one instruction being loaded and executed by the processor to implement the method of any one of claims 1 to 2.
5. A computer-readable storage medium storing at least one instruction that, when executed on a computer, cause the computer to implement the method of any one of claims 1 to 2.
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| CN114598402B (en) * | 2020-12-03 | 2024-03-19 | Oppo广东移动通信有限公司 | Method for determining power consumption of radio frequency power amplifier of electronic device |
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