CN113093897A - Power consumption management method, terminal device and readable storage medium - Google Patents

Power consumption management method, terminal device and readable storage medium Download PDF

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Publication number
CN113093897A
CN113093897A CN202110430346.5A CN202110430346A CN113093897A CN 113093897 A CN113093897 A CN 113093897A CN 202110430346 A CN202110430346 A CN 202110430346A CN 113093897 A CN113093897 A CN 113093897A
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power consumption
behavior
user
saving scheme
preset
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陈良
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Shanghai Chuanying Information Technology Co Ltd
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Shanghai Chuanying Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26Power supply means, e.g. regulation thereof
    • G06F1/32Means for saving power
    • G06F1/3203Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3206Monitoring of events, devices or parameters that trigger a change in power modality
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26Power supply means, e.g. regulation thereof
    • G06F1/32Means for saving power
    • G06F1/3203Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3234Power saving characterised by the action undertaken
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/3058Monitoring 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
    • G06F11/3062Monitoring 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
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Abstract

The application discloses a power consumption management method, terminal equipment and a readable storage medium, relates to the technical field of terminals, and can solve the problems that the current power consumption management is not intelligent enough and the user experience is not good. The application provides a power consumption management method, which comprises the following steps: s1, collecting historical machine information of the terminal equipment; s2, predicting the next using behavior according to the historical using information; and S3, operating a power consumption saving scheme adaptive to the user behavior on the terminal equipment according to the user behavior.

Description

Power consumption management method, terminal device and readable storage medium
Technical Field
The present application relates to the field of terminal technologies, and in particular, to a power consumption management and control method, a terminal device, and a readable storage medium.
Background
Smart phones have become terminal devices frequently used in daily life, and the smart phones can realize various functions through various applications, including resource display of news, information, live broadcasts, pictures, audio and video and the like, and realize network downloading and loading through various applications.
With the abundance of various network resources and various applications, the power consumption problem of terminal devices such as mobile phones, IPADs, etc. is more and more prominent. At present, several working modes such as a power saving mode and a super power saving mode are generally designed for power consumption management of a terminal device for a user to select. In the course of conceiving and implementing the present application, the inventors found that at least the following problems existed: the current power consumption management is not intelligent enough and needs the user to select.
The foregoing description is provided for general background information and is not admitted to be prior art.
Disclosure of Invention
In view of the above technical problems, the present application provides a power consumption management method, a terminal device and a storage medium, which can adopt a targeted power consumption management scheme according to the user-machine situation, are simple and convenient to operate, have good user experience, and can solve the problem that the current power consumption management is not intelligent enough and needs to be set manually by a user.
The application provides a power consumption management method, which comprises the following steps:
s1, collecting historical machine information of the terminal equipment;
s2, predicting the next using behavior according to the historical using information;
and S3, operating a power consumption saving scheme adaptive to the user behavior on the terminal equipment according to the user behavior.
Optionally, the historical use information comprises at least one of: touch operation of a user, an application program or a function used.
Optionally, step S2 includes:
step S21, acquiring application programs or functions to be used in the next step according to the historical information of the user equipment through a preset algorithm;
and step S22, dividing the next using behavior into at least one of preset behavior classes according to the application program or function used in the next step.
Optionally, step S3 includes: and according to the preset behavior class corresponding to the user behavior, matching a power saving scheme for the user behavior in at least one preset power saving scheme, or generating and operating a power saving scheme corresponding to the user behavior.
Optionally, the preset behavior class includes at least one of: playing games, watching videos, browsing web pages, using less machine load, and using application programs in a preset application library.
Optionally, the at least one power consumption saving scheme comprises: and the power consumption saving scheme corresponds to the preset behavior classes one by one.
Optionally, the power consumption saving scheme corresponding to the preset behavior class of the game play comprises at least one of the following schemes:
cleaning unnecessary running applications or services of the background of the terminal equipment;
freezing unnecessary running applications or services of the background of the terminal equipment;
turning on a cooling function of the terminal device;
limiting the frequency of a CPU and a GPU of the terminal equipment according to the requirements of application programs or functions to be used in the next step;
and increasing or decreasing the refresh rate and the touch sampling rate according to the requirements of the application program or the function to be used next.
Optionally, the power consumption saving scheme corresponding to the preset behavior class for watching the video includes at least one of the following schemes:
cleaning unnecessary running applications or services of the background of the terminal equipment;
operating a content adaptive brightness control program of a screen;
and reducing the touch sampling rate.
Optionally, the power consumption saving scheme corresponding to the preset behavior class of the browsed web page includes at least one of the following schemes: and the refresh rate and the touch sampling rate are reduced.
Optionally, the power consumption saving scheme corresponding to the preset behavior class of the low-load machine includes:
enabling the terminal device to operate a power saving mode, optionally, the power saving mode includes at least one of: cleaning a program of the background of the terminal equipment; enabling the terminal equipment to switch the theme and the background of the dark color; controlling the alarm information and the network packet; and the network packet awakening which is not concerned by the user is filtered in a time period.
Optionally, the power consumption saving scheme corresponding to the preset behavior class of the small amount of users includes: operating the terminal device in a sleep mode, the sleep mode comprising at least one of: and (4) closing WIFI and data traffic, and limiting background application or service, Bluetooth, global positioning GPS and bright screen notification.
Optionally, the power saving schemes corresponding to the different preset behavior classes may be combined with each other, or may be separately applicable.
Optionally, before the running of the power consumption saving scheme adapted to the user behavior in step S3, the method further includes: acquiring the current use condition of the terminal equipment; judging whether the power consumption saving scheme adaptive to the user behavior conflicts with the current user condition or not; and if the power-saving scheme adapted to the user behavior does not conflict with the current user condition, operating the power-saving scheme.
Optionally, step S3 further includes: if the power-saving scheme adapted to the user behavior conflicts with the current user situation, step S1 is executed and/or the power-saving scheme is not run any more.
Optionally, the preset algorithm is stored as a model in a model library.
Optionally, if the current user condition conflicts with the power consumption saving scheme adapted to the user behavior in step S3, recording the number of times of the conflict, and when the number of times of the conflict is greater than or equal to a preset value, taking the user condition where the conflict occurs as a marking feedback; and performing machine learning on the labeling feedback to correct the model in the model library or generate a new model.
The application also provides a terminal device, which comprises a memory and a processor, wherein the memory stores a power consumption management program, and the power consumption management program is used for realizing the steps in the power consumption management program when being executed by the processor.
The application provides a readable storage medium, in which a power consumption management program is stored, and the power consumption management program is used for being executed by a processor to realize the steps in the power consumption management program according to any one of the above items.
As described above, according to the power consumption management method, the terminal device, and the readable storage medium, by providing at least one power consumption saving scheme, the next-step user behavior is predicted according to the user history, and the appropriate power consumption saving scheme is selected according to the next-step user behavior, so that power consumption saving in different scenes is realized, reasonable management and control of power consumption use are facilitated, and endurance and user experience of the device are balanced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a hardware structure of a terminal device for implementing various embodiments of the present application;
fig. 2 is a communication network system architecture diagram according to an embodiment of the present application;
FIG. 3 is a flow chart illustrating a power consumption management method according to a first embodiment of the present application;
FIG. 4 is a schematic diagram of a building flow of a power consumption management system in the first embodiment of the present application;
FIG. 5 is a flow chart illustrating a power consumption management method according to a second embodiment of the present application;
FIG. 6 is a schematic diagram of an interface for selecting power consumption management from a pull-down menu of a terminal device according to a second embodiment of the present application;
FIG. 7 is an operational diagram of a call setup interface to select power management;
FIG. 8 is an operational diagram illustrating the calling of a game-type power management interface for power saving setting;
fig. 9 is a flowchart illustrating a power consumption management method according to a third embodiment of the present application;
fig. 10 is a schematic flow chart of a power consumption management method according to a fourth embodiment of the present application;
fig. 11 is a schematic block diagram of a terminal device according to a fifth embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or apparatus that comprises the element, and further, where similarly-named elements, features, or elements in different embodiments of the disclosure may have the same meaning, or may have different meanings, that particular meaning should be determined by their interpretation in the embodiment or further by context with the embodiment.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context. Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. Further, the terms "comprises," "comprising," or any other variation thereof, specify the presence of stated features, steps, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, steps, operations, elements, components, items, species, and/or groups. The terms "or," "and/or," "including at least one of the following," and the like, as used herein, are to be construed as inclusive or mean any one or any combination. For example, "includes at least one of: A. b, C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C ", again for example," A, B or C "or" A, B and/or C "means" any of the following: a; b; c; a and B; a and C; b and C; a and B and C'. An exception will occur only when a combination of elements, functions, steps or operations are inherently mutually exclusive in some manner.
Although the steps in the flowcharts in the embodiments of the present application are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in a strict order unless explicitly stated herein, but may be performed in other orders. Moreover, at least a portion of the steps may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, may be performed at different times, are not necessarily performed in the same order, and may be performed in turn or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context.
Optionally, step numbers such as S1 and S2 are used herein for the purpose of more clearly and briefly describing the corresponding content, and do not constitute a substantial limitation on the sequence, and those skilled in the art may perform S2 and then perform S1 in specific implementation, which all fall within the protection scope of the present application.
It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In the following description, suffixes such as "module", "component", or "unit" used to indicate elements are merely for convenience of description of the present application, and have no specific meaning in themselves. Thus, "module", "component" or "unit" may be used in a mixture.
The terminal device may be implemented in various forms. For example, the terminal devices described herein may include mobile terminals such as mobile phones, tablet computers, notebook computers, palmtop computers, Personal Digital Assistants (PDAs), Portable Media Players (PMPs), navigation devices, wearable devices, smart bands, pedometers, and fixed terminal devices such as Digital TVs, desktop computers, and the like.
The following description will be given taking a mobile terminal as an example, and it will be understood by those skilled in the art that the configuration according to the embodiment of the present application can be applied to a fixed type terminal device in addition to elements particularly used for mobile purposes.
Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present application, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the configuration of the mobile terminal 100 shown in fig. 1 is not intended to be limiting of the mobile terminal 100, and that the mobile terminal 100 may include more or less components than those shown, or some components may be combined, or a different arrangement of components.
The various components of the mobile terminal 100 are described in detail below with reference to fig. 1:
the rf unit 101 may be configured to receive and transmit information or receive and transmit signals during a call, and specifically, receive downlink information of a base station and send the downlink information to the processor 110 for processing, and send uplink data to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).
WiFi belongs to a short-distance wireless transmission technology, and the mobile terminal 100 can help a user send and receive e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides the user with wireless broadband internet access. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal 100, and may be omitted as needed within the scope not changing the essence of the invention.
The audio output unit 103 converts audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and outputs as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. The audio output unit 103 may also provide audio output related to the mobile terminal 100 performing a specific function (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 includes a speaker, a buzzer, and the like.
The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing still pictures or video image data obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphics processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 can receive sound (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and can process the sound into audio data. The processed audio (voice) data may be converted into a format output that can be transmitted to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.
The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, motion sensor, or other sensor. The light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect acceleration in various directions (generally three axes), detect the magnitude and direction of gravity when stationary, and be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration) for recognizing the attitude of the mobile phone, and related functions (such as pedometer and tapping) for vibration recognition; the mobile phone may also be configured with other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein.
The display unit 106 is used to display information input by the user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in a form including, but not limited to, a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), and the like.
The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal 100. Alternatively, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect touch operations of a user (e.g., operations of the user on or near the touch panel 1071 using any suitable object or accessory such as a finger, a stylus, etc.) thereon or nearby, and drive corresponding connection devices according to a preset program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. Optionally, the touch detection device detects a touch orientation of a user, detects a signal caused by a touch operation, and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. Other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.
Alternatively, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are illustrated as two separate components in fig. 1 to implement the input and output functions of the mobile terminal 100, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal 100, and is not limited herein.
The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. The external device includes, for example, a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input from external devices (e.g., data information, power, etc.) and transmit the input to one or more elements of the mobile terminal 100 or to transmit data between the mobile terminal 100 and the external devices.
The memory 109 is used to store software programs and various data. The memory 109 mainly includes a program storage area and a data storage area, and the program storage area can store an operating system, at least one program required by the function (such as a sound playing function and an image playing function), and the like; the storage data area may store data created according to the use of the cellular phone (such as audio data, a phonebook), and the like. Further, the memory 109 includes high speed random access memory, non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 110 is a control center of the mobile terminal 100, connects various parts of the entire mobile terminal 100 using various interfaces and lines, and performs various functions of the mobile terminal 100 and processes data by running or executing software programs and/or modules stored in the memory 109 and calling data in the memory 109, thereby monitoring the mobile terminal 100 as a whole. Processor 110 may include one or more processing units. Preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The mobile terminal 100 may also include a power supply 111 (e.g., a battery) to power the various components. Preferably, the power source 111 may be logically connected to the processor 110 through a power management system, and the power management system may implement functions such as charging, discharging, and power consumption management.
Although not shown in fig. 1, it is understood that the mobile terminal 100 may further include other components such as a bluetooth module, which are not described herein.
In order to facilitate understanding of the embodiments of the present application, a communication network system on which the mobile terminal 100 is based is described below.
Referring to fig. 2, an architecture diagram of a communication Network system provided in this embodiment of the present application is shown, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are sequentially in communication connection.
Alternatively, the UE 201 may be the mobile terminal 100 described above.
The E-UTRAN 202 may include eNodeB 2021 and other eNodeBs 2022, among others. Alternatively, the eNodeB 2021 may be connected with other enodebs 2022 through a backhaul (e.g., X2 interface), the eNodeB 2021 is connected to the EPC 203, and the eNodeB 2021 may provide the UE 201 access to the EPC 203.
The EPC 203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. Optionally, the MME 2031 is a control node that handles signaling between the UE 201 and the EPC 203, providing bearer and connection management. HSS 2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW 2034, PGW 2035 may provide IP address assignment for UE 201 and other functions, and PCRF 2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).
The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, etc.
Although the LTE system is described as an example, it should be understood by those skilled in the art that the embodiments of the present application are not limited to the LTE system, but may also be applied to other current or future new wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.
Based on the hardware structure of the mobile terminal 100 depicted in fig. 1 and the communication network system depicted in fig. 2, the present application proposes the following embodiments.
Example 1
As shown in fig. 3, a power consumption management method provided by the present application includes:
and S1, collecting the historical machine information of the terminal equipment.
The history information is defined as information related to power consumption management in the use condition of the terminal device before the power consumption management method is executed, and in some scenarios, includes but is not limited to at least one of a touch operation of a user and an application or a function used by the user. The historical user information is generally information related to the user and the system time. For example, when a user uses an APP, what is mainly used, the time period for using the APP, the corresponding power consumption, CPU occupation, and the operating frequency. In some embodiments, information used by the terminal device is collected in real time as historical user information. It should be understood that the historical information of the machine may also be historical information of an unnatural person, for example, historical information of the machine for the terminal device by the test device in the test scene, or historical information of the machine for the terminal device by other external devices, such as an intelligent robot and various chips, etc., and the execution subject of the machine behavior is not limited to a natural person.
For ease of explanation, some of the description herein is exemplified by the use of natural human machine behavior.
And S2, predicting the next using behavior according to the historical using information.
In this embodiment, a next possible user behavior is obtained according to the historical user information of the terminal device, and a specific implementation method is not limited. For example, the step can predict the next using behavior of the user through a preset algorithm which is constructed. The preset algorithm may use a combination of one or more of the following algorithms: such as decision trees, bayesian algorithms, Random Forest (Random Forest) and logic model (logic model) algorithms, etc.
And S3, operating a power consumption saving scheme adaptive to the user behavior on the terminal equipment according to the user behavior.
According to the predicted next using behavior, the power consumption saving scheme matched with the predicted using behavior is operated on the terminal equipment. In some embodiments, a plurality of power saving schemes can be designed in advance according to the possible user behavior, and in step S3, a power saving scheme adapted to the user behavior is selected and executed according to the predicted user behavior.
As described above, according to the power consumption management and control method, the next-step computer-using behavior of the user is predicted according to the user history computer-using condition, and the adaptive power consumption saving scheme is selected according to the next-step computer-using behavior of the user, so that power consumption saving under different scenes is realized, rationalization and control of power consumption are facilitated, and endurance and user experience of the terminal device are balanced.
As shown in fig. 4, for the power consumption management system based on big data and machine learning provided by the present application, taking the situation of the user using the machine as an example, the big data and the machine learning are used to predict the next-step machine using behavior, and then the power consumption of the device is reduced according to the predicted next-step machine using behavior. The basic flow is as follows:
1) and collecting data: and collecting the conditions of touch operation and APP or functions used by the user by using the big data system. The data is used as source data to predict the next action of the user.
2) Preparing data: the construction algorithm is only suitable for nominal data, so numerical data generally needs discretization; this step discretizes the data collected from the big data.
3) And analyzing data: after the construction is completed, the algorithm should be checked for conformity with expectations, using algorithms such as Decision Trees (DT), or bayesian algorithms (NBC), Random Forest (Random Forest), logic model algorithms, etc.;
4) and training algorithm: data structures such as construction trees;
5) and a test algorithm: calculating error rate, and adjusting an optimization algorithm;
6) and predicting the next using behavior of the user by using the optimized algorithm.
7) And aiming at the machine-using behavior, running a matched power-saving scheme, wherein the power-saving scheme comprises a combination of a plurality of power-saving means, such as: if the video is predicted to be watched, the power consumption saving scheme corresponding to the video is operated, so that the power consumption during the video watching can be saved. The power consumption saving scheme corresponding to the video watching mode may specifically include a cab c mode for operating the screen to save power consumption of the screen, reduce a touch sampling rate, and the like. If it is predicted that the terminal device enters a situation of low usage (e.g., a night break or a work period), the power saving mode or the sleep mode is operated.
In the cabac (Content Adaptive Brightness Control) mode, a Content analyzer circuit is additionally provided in a driver IC (driver IC) of a screen (e.g., LCD), and when a processor of the device transmits a picture data to the driver IC, the Content analyzer calculates and counts the picture data, and then automatically increases the gray-scale Brightness of the LCD by, for example, 30% (at this time, the picture becomes bright) and decreases the backlight Brightness by, for example, 30% (at this time, the picture becomes dark) according to a setting and an algorithm. Since the picture is compensated for brightness by the analyzer circuit in advance, the user can obtain a display effect which is almost the same as that of the original circuit, but the backlight power consumption is reduced by 30%. Therefore, the effect of saving electricity is achieved by reducing the backlight, and the effect of the same display quality is achieved by adjusting the gray scale.
The embodiment provides a scheme for predicting user behaviors and then operating different power-saving modes for different behaviors based on big data and artificial intelligence technology, so that the purpose of saving power consumption is achieved, and the endurance time of the terminal equipment is prolonged.
Example 2
As shown in fig. 5, this embodiment further provides another power consumption management and control method, including: in step S1, collecting historical information of the terminal device, where optionally, the historical information of the terminal device includes at least one of a touch operation of a user, an application program used, or a function used by the user; step S2 includes:
and step S21, acquiring the application program or function to be used next according to the historical information of the user equipment through a preset algorithm. For example, if the user runs a certain game APP from 9 pm to 11 pm for many times in the history information, the step predicts that the game APP will be run from 9 pm to 11 pm in the current day according to the preset algorithm.
And step S22, dividing the next using behavior into at least one of preset behavior classes according to the application program or function used in the next step.
Alternatively, the machine behavior with high frequency of use can be abstracted into several behavior classes in order to design a power consumption saving scheme in a targeted manner. For example, the preset behavior class may include one or more of the following: playing games, watching videos, browsing web pages, using less machine load, and using application programs in a preset application library. The low-load operation means that a small operation amount is to be performed within a period of time, for example, the use of a very light-load apk (Android application package). For this, the parameters of the scheduling policy can be preset, so that the loads are all operated on the small cores, and the large cores are idle, thereby saving electricity. If the operation with large computation amount is predicted, such as large-scale games, the scheduling strategy parameters can be set in advance, so that the load can run on a large core, the system is not jammed, and the user experience is improved. The small number of use means a case where the terminal device is used in a small number for a long time, such as a rest period at night or a working period. For this, a power saving mode or a sleep mode may be set to save power consumption.
The preset application library stores some application programs or function catalogues which are frequently used, such as Royal, Taobao, Kuangsho and the like. Accordingly, a more optimal and targeted power consumption saving scheme can be designed for the applications in the preset application library for adaptation.
In the step, the next using behavior is divided into at least one of preset behavior classes according to the application program or the function used in the next step. For example, the next action may be one of playing a game, watching a video, browsing a web page, using less power, and using an application program in a preset application library.
And step S3, according to the preset behavior class corresponding to the user behavior, matching the user behavior with the power saving scheme in at least one power saving scheme, or generating and operating the power saving scheme corresponding to the user behavior.
At least one power consumption saving scheme of the step comprises the following steps: and the power consumption saving scheme corresponds to the preset behavior classes one by one. Examples may include: the game power-saving scheme corresponding to the game playing mode, the video watching scheme corresponding to the video watching mode, the power-saving scheme corresponding to the webpage browsing mode, the power-saving scheme corresponding to the low-load machine usage mode and the power-saving scheme designed aiming at the application program in the preset application library. At least one power consumption saving scheme of the step can be preset before delivery.
In the step, according to the preset behavior class to which the predicted next-step computer-using behavior belongs, a proper power-saving scheme is matched for the predicted next-step computer-using behavior in at least one power-saving scheme and is operated, and a power-saving scheme corresponding to the predicted next-step computer-using behavior can be generated and operated.
For example, the power-saving scheme corresponding to the preset behavior class of the game play may optionally include at least one of: cleaning unnecessary running applications or services of a background of the terminal equipment; freezing unnecessary running applications or services of the background of the terminal equipment; turning on a cooling function of the terminal device; limiting the frequency of a CPU and a GPU of the terminal equipment according to the requirement of an application program to be used in the next step; and increasing or decreasing the refresh rate and the touch sampling rate according to the requirements of the application program or the function to be used next. Some games need higher CPU and GPU frequency, some games need higher refresh rate and touch sampling rate, and the game power-saving scheme can be correspondingly adjusted according to the requirements of game programs, so that the power consumption is saved to the maximum extent while the resource requirements are met. For example, in a fruit cutting game, the refresh rate and the touch sampling rate need to be increased to achieve better game experience without blocking, and the requirement on the frequency of the CPU is not high, so that the power consumption saving scheme correspondingly comprises the steps of increasing the refresh rate and the touch sampling rate, properly limiting the frequency of the CPU, and the like.
The power-saving scheme corresponding to the preset behavior class for watching the video may include at least one of: cleaning unnecessary running applications or services of a background of the terminal equipment; running a screen content adaptive brightness control program; reduce touch sampling rate, etc. When a user plays a series and watches videos in a longer time, the power consumption can be reduced by a screen content self-adaptive brightness control program, and the power consumption can be further saved by reducing the touch sampling rate.
The power saving scheme corresponding to the preset behavior class of the browsing webpage may include reducing at least one of a refresh rate and a touch sampling rate.
The power consumption saving scheme corresponding to the preset behavior class of the low-load machine may include: enabling the terminal equipment to operate a power saving mode, wherein the power saving mode comprises at least one of the following means: cleaning a program of a background of the terminal equipment; enabling the terminal equipment to switch the theme and the background of the deep color; controlling the alarm information and the network packet; and the network packet awakening which is not concerned by the user is filtered in a time period.
The power saving scheme corresponding to the preset behavior class of the small number of the user equipment may include: operating the terminal device in a sleep mode, wherein the sleep mode comprises at least one of the following means: and (4) closing WIFI and data traffic, and limiting background application or service, Bluetooth, global positioning GPS and bright screen notification.
And when the next machine using behavior is predicted to belong to one of the preset behavior classes, such as game playing, video watching, webpage browsing, low-load machine using and low-load machine using, running a power consumption saving scheme corresponding to the preset behavior class on the terminal equipment.
Optionally, a specifically designed power-saving scheme is further provided for each application program in the preset application library, and when it is predicted that the application program in the preset application library will be run next, the power-saving scheme corresponding to the application program is run on the terminal device.
For ease of understanding, the present application will be further described below in conjunction with user-specific user behavior.
If the condition that the terminal equipment enters a small amount of use is predicted, the terminal equipment can enter a power saving mode, a system switches a dark theme and a dark background, strict control is carried out on an alarm and a network packet, the network packet which is not concerned by a user is filtered in different periods is awakened, and the average current can be reduced by 8%. As shown in table 1.
Software schema Power saving mode Normal mode Gain of
Bright screen average current 291 315 8%
TABLE 1
If the user is predicted to play a game or watch video, the terminal device can be made to run the CABC scheme. For example, running an angry bird game may save 10% of power consumption, and running youtube video may yield a 7.9% revenue, as shown in table 2.
Figure BDA0003031218700000171
TABLE 2
If a user is predicted to run a large game, the system can enter a power-saving scheme corresponding to a game mode, a background program is cleaned in advance, a memory space is released for the foreground program, some background applications or services are frozen, the liquid cooling and air cooling functions of the terminal equipment are turned on, the temperature of the terminal equipment can be reduced, part of cpu and gpu frequencies can be limited, and the purpose of saving power is achieved. As shown in table 3, by turning on the game mode, running the trivia game and the trivia game, 11% of power consumption can be saved.
Figure BDA0003031218700000172
Figure BDA0003031218700000181
TABLE 3
If it is detected that the user does not want to run the game, but ordinary browsing pages to watch news and the like can reduce the screen refresh rate, for example, from 90hz to 60hz, and can also reduce the touch sampling rate of the screen, for example, from 240hz to 120hz, so that the power consumption of the terminal device can be saved.
If the game is predicted to be run, the screen refresh rate of the system can be increased, for example, from 60hz to 90hz, and the touch sampling rate of the screen can be increased, for example, from 120hz to 240hz, so that the game experience of the user can be improved.
Figure BDA0003031218700000182
TABLE 4
If it is predicted that the user will use the machine with a small load and perform a small operation amount, such as using a very light-load apk, parameters of a scheduling strategy can be set in advance, the load can be operated on the small core, and the large core is idle, so that electricity can be saved. If the operation with large computation amount is predicted, such as large-scale games, the scheduling strategy parameters can be set in advance, so that the load can run on a large core, the system is not jammed, and the user experience is improved. As shown in table 5.
Figure BDA0003031218700000183
TABLE 5
The embodiment provides a plurality of preset behavior classes and power saving schemes corresponding to the preset behavior classes, and the predicted preset behavior class to which the next user behavior belongs is matched with the corresponding power saving scheme, so that the power consumption of the terminal equipment can be efficiently managed, the endurance of the terminal equipment is improved, and the user experience is improved.
Fig. 6 to 8 are interfaces of a terminal device adopting the power consumption management method of the present application. As shown in fig. 6, a button for power consumption management may be provided on a pull-down interface of the terminal device. When a button for power consumption management is clicked, a power consumption management program is run in a background of the terminal device, so that the steps in the power consumption management method are realized. As shown in fig. 7, it may also be configured on a setting interface of the terminal device whether to start power consumption management, and whether to enable power consumption saving schemes of various preset behaviors or to set a specific power consumption saving means. As shown in fig. 8, the power saving interface of the game system may be configured to save power used during playing the game. Similarly, the power consumption saving means adopted by the user behavior can be set in the power consumption saving interfaces of preset behavior classes such as videos, web browsing, low-load users, small-amount users and application programs in a preset application library.
Example 3
As shown in fig. 9, the power consumption management method according to this embodiment is different from the above embodiment in that after the power consumption saving scheme is matched to the user behavior predicted in step S31 in step S3, before the power consumption saving scheme adapted to the user behavior is run in step S34, the method further includes:
and step S32, acquiring the current use condition of the terminal equipment.
Step S33, judging whether the power consumption saving scheme adapted to the using behavior conflicts with the current using condition; if not, executing the power consumption saving scheme matched with the operation machine behavior in the step S34. And/or if so, executing step S1, and not running the power consumption saving scheme adaptive to the user behavior.
The conflict between the power consumption saving scheme and the current user experience condition of the user in the step can mean that the current user experience is influenced by running the power consumption saving scheme. And/or, there is no conflict, it may mean that running the power saving scheme does not affect the user's current user experience. For example, if the next usage behavior predicted from the historical usage behavior is a small usage (e.g. corresponding to the user's sleep rest period), then matching the class of the small usage behavior should be to make the terminal device operate the sleep mode. However, if the acquired current use situation is that the user is still playing games or still watching videos, if the terminal device enters the sleep mode, the user will be disturbed, which results in poor user experience, or the user will not be able to continue to perform the current use behavior, which means that the power saving scheme conflicts with the current use situation of the user, the operation of the power saving scheme should be stopped, and the process jumps to step S1 or S2 to continue to collect data or pause until the conflict disappears. If the obtained current user condition is that the user does not use the terminal device, the sleep mode can be operated to enable the terminal device to enter the sleep state so as to achieve the purpose of saving electricity.
The power consumption management method of the embodiment runs the power consumption saving scheme matched with the machine using behavior under the condition that no conflict exists with the current machine using condition, so that the influence on user experience caused by the implementation of the power consumption management method can be avoided.
Example 4
As shown in fig. 10, the power consumption management method provided in this embodiment is different from that of embodiment 3 in that:
in step S2, the next usage behavior is predicted based on the models in the model library. The model in the model library may be the preset algorithm in step S2 above, and optionally, the preset algorithm is stored as the model in the model library. Step S3 further includes:
and step S35, if the machine condition of the terminal equipment conflicts with the power consumption saving scheme which is adaptive to the predicted machine behavior in the step S3, recording the number of conflicts.
And step 36, judging whether the number of the conflicts is larger than or equal to a preset value.
And step S37, if the number of conflicts is larger than or equal to the preset value, using the machine condition with conflicts as the annotation feedback, and performing machine learning on the annotation feedback to correct the model in the model library or generate a new model. And then predicting the next using behavior according to the corrected model or generating a new model.
In some other embodiments of this embodiment, the number of times of continuous collisions occurring may be recorded, and when the number of times of continuous collisions is greater than or equal to a preset value, the machine utilization condition of collisions occurring is used as annotation feedback, and machine learning is performed on the annotation feedback to modify the model in the model library or generate a new model. And then predicting the next using behavior according to the corrected model or generating a new model.
According to the power consumption management method, when the matched power consumption-saving scheme conflicts with the current user condition and the number of conflicts is large, the algorithm or the model for predicting the user behavior is directly modified, so that the power consumption management method can adapt to the new user habit of the user quickly and enables the user experience to be better. Optionally, the algorithm or model for predicting the behavior of the user can be evolved autonomously in an artificial intelligence learning manner, so that the accuracy of prediction is improved. Moreover, the modification of the algorithm or the model for predicting the behavior of the user does not need the participation of the user, and the whole process is carried out under the condition of no sense of the user, so that the intelligent degree of power consumption management is improved.
Example 4
The application further provides a terminal device, which includes a memory and a processor, where the memory stores a power consumption management program, and the power consumption management program is used when being executed by the processor, so as to implement the steps in the power consumption management method according to any one of the above.
As shown in fig. 11, the processor 61 is a control center of the terminal device 60, connects various parts of the entire terminal device 60 by using a communication bus 63 (e.g., various interfaces and lines), executes various functions of the terminal device 60 and processes data by running or loading a program stored in the memory 62 and calling data stored in the memory 62, thereby performing overall monitoring of the terminal device 60.
Alternatively, the processor 61 may load instructions corresponding to applications or services of one or more programs into the memory 62 according to the following steps, and the processor 61 executes the programs stored in the memory 62, thereby implementing the steps of any of the foregoing embodiments.
For the specific implementation of each step, that is, the specific content of the step executed by the processor 61 calling the program can refer to the foregoing, and details are not described here. Here, the terminal device 60 has the advantageous effects that can be achieved by the foregoing embodiment.
It should be understood that, when implemented in an actual application scenario, the execution bodies of the above steps may not be the processor 61 and the memory 62, but may be implemented by other modules and units respectively, according to the device type of the terminal device 60.
The present application also provides a computer-readable storage medium having a program, such as a power consumption management program, stored thereon, which when executed by a processor implements the steps of the power consumption management method in any of the above embodiments.
In the embodiments of the terminal device and the computer-readable storage medium provided in the present application, all technical features of the embodiments of the method are included, and the expanding and explaining contents of the specification are basically the same as those of the embodiments of the method, and are not described herein again.
Embodiments of the present application also provide a computer program product, which includes computer program code, when the computer program code runs on a computer, causes the computer to execute the method as described in the above various possible embodiments.
Embodiments of the present application further provide a chip, which includes a memory for storing a computer program and a processor for calling and executing the computer program from the memory, so that a device in which the chip is installed performs the method in the above various possible embodiments.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
The technical features of the technical solution of the present application may be arbitrarily combined, and for brevity of description, all possible combinations of the technical features in the embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, the scope of the present application should be considered as being described in the present application.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are included in the scope of the present application.

Claims (10)

1. A method for power consumption management, comprising:
s1, collecting historical machine information of the terminal equipment;
s2, predicting the next using behavior according to the historical using information;
and S3, operating a power consumption saving scheme adaptive to the user behavior on the terminal equipment according to the user behavior.
2. The method according to claim 1, wherein step S2 includes:
step S21, acquiring application programs or functions to be used in the next step according to the historical information of the user equipment through a preset algorithm;
and step S22, dividing the using behavior into at least one of preset behavior classes according to the application program or function used in the next step.
3. The method according to claim 2, wherein the step S3 includes: and according to the preset behavior class corresponding to the user behavior, matching a power saving scheme for the user behavior in at least one preset power saving scheme, or generating and operating a power saving scheme corresponding to the user behavior.
4. The method of claim 3, wherein the preset behavior class comprises at least one of: playing games, watching videos, browsing web pages, using less machines with less loads, using less machines and using application programs in a preset application library; and/or the presence of a gas in the gas,
the at least one power consumption saving scheme comprises: and the power consumption saving scheme corresponds to the preset behavior classes one by one.
5. The method of claim 4, wherein the power-saving scheme corresponding to the preset behavior class of the game play comprises at least one of the following schemes:
cleaning unnecessary running applications or services of the background of the terminal equipment;
freezing unnecessary running applications or services of the background of the terminal equipment;
turning on a cooling function of the terminal device;
limiting the frequency of a CPU and a GPU of the terminal equipment according to the requirements of application programs or functions to be used in the next step;
and increasing or decreasing the refresh rate and the touch sampling rate according to the requirements of the application program or the function to be used next.
6. The method according to any one of claims 1 to 5, wherein before running the power consumption saving scheme adapted to the user behavior in step S3, the method further comprises:
acquiring the current use condition of the terminal equipment;
judging whether a power consumption saving scheme adaptive to the user behavior conflicts with the current user condition or not;
if not, the power consumption saving scheme is operated.
7. The method according to claim 6, wherein step S3 further comprises:
if the power saving scheme adapted to the user behavior conflicts with the current user situation, step S1 is executed, and the power saving scheme is not operated.
8. The method according to any one of claims 1 to 5, wherein if the current using situation conflicts with the power consumption saving scheme adapted to the using behavior in step S3, recording the number of conflicts, and when the number of conflicts is greater than or equal to a preset value, using the using situation where the conflict occurs as annotation feedback;
and performing machine learning on the labeling feedback to correct the model in the model library or generate a new model.
9. A terminal device comprising a memory and a processor, the memory storing a power consumption management program for execution by the processor to implement the steps in the power consumption management program of any one of claims 1 to 8.
10. A readable storage medium, having stored therein a power consumption management program for execution by a processor to implement the steps in the power consumption management program of any one of claims 1 to 8.
CN202110430346.5A 2021-04-21 2021-04-21 Power consumption management method, terminal device and readable storage medium Pending CN113093897A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113794256A (en) * 2021-09-15 2021-12-14 深圳市科雷特能源科技股份有限公司 Intelligent management method and device for battery charging and discharging
CN116804960A (en) * 2023-05-24 2023-09-26 荣耀终端有限公司 Power consumption processing method and system of terminal equipment
CN116804960B (en) * 2023-05-24 2024-06-04 荣耀终端有限公司 Power consumption processing method and system of terminal equipment

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113794256A (en) * 2021-09-15 2021-12-14 深圳市科雷特能源科技股份有限公司 Intelligent management method and device for battery charging and discharging
CN116804960A (en) * 2023-05-24 2023-09-26 荣耀终端有限公司 Power consumption processing method and system of terminal equipment
CN116804960B (en) * 2023-05-24 2024-06-04 荣耀终端有限公司 Power consumption processing method and system of terminal equipment

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