WO2016023520A1 - 引起终端温度升高的应用程序识别方法、装置及终端 - Google Patents

引起终端温度升高的应用程序识别方法、装置及终端 Download PDF

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Publication number
WO2016023520A1
WO2016023520A1 PCT/CN2015/087035 CN2015087035W WO2016023520A1 WO 2016023520 A1 WO2016023520 A1 WO 2016023520A1 CN 2015087035 W CN2015087035 W CN 2015087035W WO 2016023520 A1 WO2016023520 A1 WO 2016023520A1
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WIPO (PCT)
Prior art keywords
terminal
temperature
app
current device
current
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PCT/CN2015/087035
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English (en)
French (fr)
Inventor
杨海英
熊佳林
张康宗
Original Assignee
北京金山安全软件有限公司
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Priority claimed from CN201410400878.4A external-priority patent/CN104199727B/zh
Priority claimed from CN201410400632.7A external-priority patent/CN104199765B/zh
Priority claimed from CN201410400879.9A external-priority patent/CN104199759B/zh
Application filed by 北京金山安全软件有限公司 filed Critical 北京金山安全软件有限公司
Priority to US15/503,595 priority Critical patent/US10387193B2/en
Publication of WO2016023520A1 publication Critical patent/WO2016023520A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • G06F9/4893—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues taking into account power or heat criteria
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/48—Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806—Task transfer initiation or dispatching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3013—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is an embedded system, i.e. a combination of hardware and software dedicated to perform a certain function in mobile devices, printers, automotive or aircraft systems
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5094—Allocation of resources, e.g. of the central processing unit [CPU] where the allocation takes into account power or heat criteria
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

Definitions

  • the present invention relates to the field of terminal technologies, and in particular, to an application identification method, apparatus, and terminal that cause an increase in temperature of a terminal.
  • the instantaneous value of the temperature of each device in the terminal can be obtained by reading the interface of the terminal system.
  • the terminal is a smart phone
  • the central processing unit CPU (Central Processing Unit) in the smart phone can be obtained by reading the system interface of the smart phone.
  • Instantaneous values of device temperature such as graphics cards and sound cards.
  • the application APP (APPlication) installed in the terminal causes a change in the temperature of the terminal device during the operation, which causes a change in the temperature of the terminal.
  • the application APP APPlication
  • the application APP APPlication
  • the application APP causes a change in the temperature of the terminal device during the operation, which causes a change in the temperature of the terminal.
  • the APP that usually causes the terminal temperature to rise will occupy a large number of terminals during operation. Resources will not only cause the terminal temperature to rise, but also affect the terminal's operating efficiency, and the user experience is poor.
  • a first object of the present invention is to provide an application identification method that causes an increase in temperature of a terminal, which can accurately identify an APP that causes an increase in temperature of the terminal, and further determines an APP that causes an increase in temperature of the terminal. The user may be prompted to process the APP to reduce the impact of the APP on the terminal.
  • a second object of the present invention is to provide an application identification device that causes an increase in temperature of a terminal.
  • a third object of the present invention is to propose a terminal.
  • an embodiment of the first aspect of the present invention provides an application identification method for causing a temperature rise of a terminal, including: obtaining, in an environment in which the terminal is located, the terminal during operation of a current application APP a range of values for the current device temperature; calculating the difference between the range of values and the normal range of values of the current device temperature when the terminal is in an idle state in the environment, and when the terminal is in an idle state in the environment And determining, by the ratio of the normal value range of the current device temperature, if the ratio is greater than a preset threshold, determining that the APP that causes the terminal temperature to rise is the current APP.
  • the application identification method for causing the terminal temperature to increase in the embodiment of the present invention obtains the numerical range of the current device temperature during the current APP operation in the environment in which the terminal is located, and calculates the value range and the normal value of the current device temperature when the terminal is in the idle state.
  • the ratio of the difference between the range and the normal value range of the current device temperature when the terminal is in an idle state if the ratio is greater than the preset threshold, determining that the APP causing the terminal temperature rise is the current APP, thereby accurately identifying the terminal temperature rise
  • the high APP when determining the APP that causes the terminal temperature to rise, may prompt the user to process the APP to reduce the impact of the APP on the terminal.
  • an embodiment of the second aspect of the present invention provides an application identification device that causes an increase in temperature of a terminal, including: a first acquisition module, configured to obtain a current application in an environment in which the terminal is located a range of values of a current device temperature of the terminal during operation of the program APP; a first determining module configured to calculate the range of values and a normal range of values of the current device temperature when the terminal is in an idle state in the environment And a ratio of a difference between the normal value range of the current device temperature when the terminal is in an idle state in the environment, and if the ratio is greater than a preset threshold, determining that the APP that causes the terminal temperature to rise is the current APP.
  • the application identification device for causing the terminal temperature to increase in the embodiment of the present invention obtains a numerical range of the current device temperature during the current APP operation in the environment in which the terminal is located, and calculates the numerical range and the terminal is idle through the first determining module.
  • the APP that causes the temperature rise of the terminal can be accurately identified, and when the APP that causes the temperature rise of the terminal is determined, the user may be prompted to process the APP to reduce the impact of the APP on the terminal.
  • a third aspect of the present invention provides a terminal, the terminal including a housing, a processor, a memory, a circuit board, and a power supply circuit, wherein the circuit board is disposed in the housing Internally, the processor and the memory are disposed on the circuit board; the power supply circuit is configured to supply power to each circuit or device of the terminal; the memory is configured to store executable program code;
  • the processor runs a program corresponding to the executable program code by reading executable program code stored in the memory for performing the following steps: at the terminal a range of values of the current device temperature of the terminal during operation of the current application APP; calculating the range of values and a normal range of values of the current device temperature when the terminal is in an idle state in the environment And a ratio of the difference between the normal value range of the current device temperature when the terminal is in an idle state in the environment, and if the ratio is greater than a preset threshold, determining that the APP causing the terminal temperature to rise is the Current APP.
  • the terminal of the embodiment of the present invention obtains a numerical range of the current device temperature during the current APP operation in the environment in which the terminal is located, and calculates a difference between the value range and the normal value range of the current device temperature when the terminal is in an idle state, and when the terminal is in an idle state.
  • the ratio of the normal value range of the current device temperature if the ratio is greater than the preset threshold, determining that the APP causing the terminal temperature rise is the current APP, thereby accurately identifying the APP that causes the terminal temperature to rise, and thereby determining the terminal
  • the user may be prompted to process the APP to reduce the impact of the APP on the terminal.
  • FIG. 1 is a flow chart of a method of obtaining a range of normal temperature values of a terminal device in accordance with one embodiment of the present invention.
  • FIG. 2 is a flow chart of an application identification method that causes a temperature rise of a terminal in accordance with one embodiment of the present invention.
  • FIG. 3 is a flow chart of an application identification method that causes a temperature rise of a terminal in accordance with another embodiment of the present invention.
  • FIG. 4 is a flow chart of a method of reducing terminal temperature in accordance with one embodiment of the present invention.
  • FIG. 5 is a block diagram showing the structure of an application identification device that causes a temperature rise of a terminal according to an embodiment of the present invention.
  • FIG. 6 is a block diagram showing the structure of an application identifying apparatus that causes a temperature rise of a terminal according to another embodiment of the present invention.
  • FIG. 1 is a flow chart of a method for obtaining a normal value range of a terminal device temperature according to an embodiment of the present invention. As shown in FIG. 1, the method includes:
  • the terminal may be a hardware device having various operating systems such as a personal computer PC, a mobile phone, or a tablet computer.
  • the foregoing scenario may include, but is not limited to, an environment and/or a state in which the terminal is located, and the environment in which the terminal is located includes an indoor environment and an outdoor environment, and the state in which the terminal is located includes an idle state and a non-idle state.
  • the light sensor or the positioning sensor can be used to determine whether the environment in which the terminal is located is an indoor environment or an outdoor environment.
  • the temperature information of the current device within the preset time period may be obtained from the terminal system interface according to the first sampling period.
  • the preset time period may be defaulted in the terminal system, or may be set by the user in the terminal system according to different requirements.
  • the current device may be a central processing unit CPU, a graphics card, a sound card, a memory, etc., and the embodiment does not limit the device.
  • the terminal is a smart phone
  • the current device is a CPU
  • the smart phone is in an indoor environment
  • the CPU can be obtained from the system interface of the smart phone in a preset time, for example, 30 minutes, according to a first sampling period, for example, 10 seconds. Temperature information.
  • temperature information of the graphics card within a preset time may be obtained from the terminal system interface according to a first sampling period, for example, 2 minutes.
  • S102 Process the acquired temperature information to obtain a normal value range of the current device temperature in the scene.
  • the obtained temperature value may be processed by a preset algorithm, and in a environment in which the terminal is located, a normal value range of the current device temperature when the terminal is in an idle state or a non-idle state is obtained.
  • the preset algorithm may include a peak clipping algorithm.
  • the current device may be obtained from the terminal system interface according to the first sampling period, for example, 5 seconds, by using a peak clipping algorithm.
  • the temperature information in 30 minutes is processed, and the sample value of the current device temperature in the preset time period, for example, 30 minutes, can be processed by the peak clipping algorithm, and the preset time period, for example, the terminal within 30 minutes can be obtained by processing the same.
  • a sampling value of 240 CPU temperatures can be obtained.
  • the sampling values of 240 CPU temperatures are as follows: 60 CPU temperature sampling value is 25 ° C, 60 CPU temperature sampling value is 28 ° C, 80 CPU temperature sampling value is 30 ° C, 20 CPU temperature sampling The value is 29 ° C, the sampling value of 20 CPU temperature is 40 ° C. At this time, the data of 20 CPU temperature samples can be removed at 40 ° C, and finally the CPU temperature in the idle state of the terminal can be obtained within 20 minutes.
  • the range of values is from 25 ° C to 30 ° C.
  • the terminal If the terminal is in a non-idle state, at this time, it can be obtained from the terminal system interface according to the first sampling period, for example, 5 seconds. Taking the temperature information of the current device within a preset time period, for example, 30 minutes, and after obtaining the temperature information, similarly, the sample value of the current device temperature within a preset time period, for example, within 30 minutes, may be processed by the peak clipping algorithm. Through the processing, a normal value range of the current device temperature in which the terminal is in a non-idle state within a preset time period, for example, 30 minutes, can be obtained.
  • the normal value range of the current device temperature when the terminal is in the non-idle state can also be obtained by obtaining the normal value range of the current device temperature when the terminal is in the idle state, according to the current device.
  • the load state sets the first weight, and according to the first weight and the normal value range of the current device temperature when the terminal is in the idle state, the normal value range of the current device temperature when the terminal is in the load state is calculated.
  • the normal value of the CPU temperature when the terminal is in an idle state ranges from 25 ° C to 30 ° C.
  • the CPU in the corresponding terminal is in a load state.
  • the predetermined time period is, for example, 10 minutes
  • the load state of the CPU is 10%
  • the corresponding first weight is obtained according to the load state, such as 1.1.
  • the normal value range of the CPU temperature when the terminal is in the idle state is 25 ° C.
  • the normal value of the CPU temperature within 10 minutes obtained by multiplying 30 ° C by the first weight such as 1.1 is 27.5 ° C to 33 ° C.
  • load states correspond to different first weights
  • the correspondence between the load states and the first weights is an empirical value obtained by analyzing a large amount of historical data.
  • the method for obtaining a normal value range of the terminal device is used to determine a scenario where the terminal is located, and obtain temperature information of the current device in the preset time period in the scenario, and process the obtained temperature information to obtain The normal value range of the current device temperature in the scene, thereby accurately obtaining the normal value range of the terminal device temperature in different scenarios, so that the user can know the operation status of the terminal device in time.
  • FIG. 2 is a flowchart of an application identification method for causing a temperature rise of the terminal according to an embodiment of the present invention. Just run an application as an example, as shown in Figure 2, the method includes:
  • Step S200 is the same as step S100, and the explanation of step S100 is also applied to step S200.
  • Step S201 is the same as step S101, and the explanation of step S101 is also applied to step S201.
  • the obtained temperature value is processed by using a preset algorithm, and a normal value range of the current device temperature when the terminal is in an idle state is obtained.
  • the preset algorithm may include a peak clipping algorithm. Specifically, obtaining the environment described by the terminal, for example, The terminal is in the indoor environment, and the terminal is in an idle state, and the temperature information of the current device in the preset time period, for example, 30 minutes, is obtained from the terminal system interface according to the first sampling period, for example, 5 seconds, by using a peak clipping algorithm.
  • the sampled value of the current device temperature in a preset time period, for example, 30 minutes can be processed by the peak clipping algorithm, and the normal value range of the current device temperature in the idle state of the terminal within 30 minutes can be obtained by processing the same. .
  • the current device is a CPU
  • the peak clipping algorithm obtains a preset time period, for example, the terminal is in an idle state within 30 minutes, and the normal value range of the current device temperature is 25 ° C to 30 ° C.
  • the temperature information of the current device during the current APP operation may be obtained according to the second sampling period, and the temperature information obtained according to the second sampling period is processed by the peak clipping algorithm to obtain the current device temperature during the current APP operation.
  • first sampling period and the second sampling period may be the same or different.
  • S204 Calculate a ratio between a difference between a normal value range of the current device temperature when the terminal is in an idle state and a normal value range of the current device temperature when the terminal is in an idle state. If the ratio is greater than a preset threshold, determine that the terminal temperature is raised. The app is the current app.
  • the current device is a CPU and the terminal is in an idle state
  • the normal value of the CPU temperature ranges from 25°C to 30°C.
  • the current CPU value during the current APP operation ranges from 36°C to 40°C.
  • the preset threshold is 15%
  • the prompt information may also be displayed in the terminal.
  • the boot information of stopping the running or uninstalling the current APP may be displayed in the terminal, so as to facilitate the user. Stopping the operation or unloading the APP causing the terminal temperature to rise according to the boot information.
  • the trigger operation performed by the user according to the guidance information may also be obtained, and the APP that causes the terminal temperature to rise is stopped based on the trigger operation.
  • the foregoing embodiment of the application identification method for causing the terminal temperature to increase obtains a numerical range of the current device temperature during the current APP operation in the environment in which the terminal is located, and calculates a value range and a normal value range of the current device temperature when the terminal is in an idle state. If the ratio is greater than the preset threshold, the APP that determines the temperature rise of the terminal is the current APP, thereby accurately identifying the temperature rise of the terminal.
  • the APP when determining the APP that causes the terminal temperature to rise, may prompt the user to process the APP to reduce the impact of the APP on the terminal.
  • FIG. 3 is a flowchart of an application identification method for causing a temperature rise of a terminal according to another embodiment of the present invention. This embodiment is described by taking an example that the terminal currently runs only one application, as shown in FIG. include:
  • Step S300 is the same as step S100, and the explanation of step S100 is also applied to step S300.
  • Step S301 is the same as step S101, and the explanation of step S301 is also applied to step S101.
  • the obtained temperature value is processed by using a preset algorithm, and a normal value range of the current device temperature when the terminal is in an idle state is obtained.
  • the preset algorithm may include a peak clipping algorithm.
  • the temperature information of the current device in the preset time period for example, 30 minutes
  • the first sampling period for example, 5 seconds
  • the peak algorithm processes the sampled value of the current device temperature within a preset time period, for example, within 30 minutes, and by processing it, a normal value range of the current device temperature in which the terminal is in an idle state within a preset time period, for example, within 30 minutes, can be obtained.
  • the current device is a CPU
  • the peak clipping algorithm obtains a preset time period, for example, the terminal is in an idle state within 30 minutes, and the normal value range of the current device temperature is 25 ° C to 30 ° C.
  • the temperature information of the current device during the current APP operation may be obtained according to the second sampling period, and the temperature information obtained according to the second sampling period is processed by the peak clipping algorithm to obtain the current device during the current APP operation.
  • the range of values for temperature may be obtained according to the second sampling period, and the temperature information obtained according to the second sampling period is processed by the peak clipping algorithm to obtain the current device during the current APP operation.
  • first sampling period and the second sampling period may be the same or different.
  • the first weight is set according to the load state corresponding to the current device in the current APP running, and the current device is calculated according to the first weight and the normal value range of the current device temperature when the terminal is in the idle state, when the terminal is in the corresponding load state.
  • the normal range of values for temperature is set according to the load state corresponding to the current device in the current APP running.
  • load states correspond to different first weights
  • the correspondence between the load states and the first weights is an empirical value obtained by analyzing a large amount of historical data.
  • the current device is a CPU. It is assumed that the normal value of the CPU temperature when the terminal is in the idle state is 25° C. to 30° C., and the load state corresponding to the CPU of the current APP is 10%, and the corresponding first weight is obtained according to the load state. 1.1. At this time, the normal value range of the CPU temperature when the terminal is in the idle state is 25 ° C ⁇ 30 ° C and multiplied by the first weight such as 1.1 to obtain the normal value range of the CPU temperature corresponding to the current APP operation period is 27.5 ° C ⁇ 33 °C.
  • the value of the CPU temperature during the current APP operation is calculated to be in the range of 29 ° C to 35 ° C.
  • the normal value of the CPU temperature during the current APP operation is 27.5 ° C to 33 ° C, which can be judged by comparison. If the value range of the CPU temperature during the current APP operation is not within its corresponding normal value range, it may be determined that the current APP is an APP that causes the terminal temperature to rise.
  • the prompt information may also be displayed in the terminal.
  • the boot information of stopping the running or uninstalling the current APP may be displayed in the terminal, so as to facilitate the user. Stopping the operation or unloading the APP causing the terminal temperature to rise according to the boot information.
  • the trigger operation performed by the user according to the guidance information is obtained, and the APP that causes the terminal temperature to rise is stopped based on the trigger operation.
  • the foregoing embodiment of the application identification method for causing the terminal temperature to increase obtains a numerical range of the current device temperature during the current APP operation in the environment in which the terminal is located, and obtains a normal value range of the current device temperature when the terminal is in the corresponding load state, If the value range is not within the normal value range, it is determined that the APP causing the terminal temperature rise is the current APP, thereby accurately identifying the APP causing the terminal temperature to rise, and further determining the APP causing the terminal temperature rise. The user is prompted to process the APP to reduce the impact of the APP on the terminal.
  • FIG. 4 is a flow chart of a method of reducing temperature of a terminal according to an embodiment of the present invention. As shown in FIG. 4, the method includes:
  • the terminal in the environment in which the terminal is located, if only one APP is run in the terminal, a range of values of the current device temperature of the terminal during the running of the current application APP is obtained; and the range of the calculated value and the terminal in the environment in which the terminal is located are obtained.
  • the app is the current app.
  • the environment in which the terminal is located may be an indoor environment or an outdoor environment. It should be noted that the detailed process of identifying the APP that causes the terminal temperature to rise is the current APP can be seen in FIG. 2 , and details are not described herein.
  • the preset threshold may be defaulted in the terminal system, or may be set by the user in the terminal system according to different requirements.
  • the APP that causes the temperature rise of the terminal to be recognized as the current APP may be identified by another manner. Specifically, obtaining a value range of the current device temperature during the current APP operation and a load status corresponding to the current device during the current APP operation; obtaining a normal value range of the current device temperature when the terminal is in the corresponding load state; and if the value range is not in the normal state Within the range of values, it is determined that the APP causing the temperature rise of the terminal is the current APP. It should be noted that the above identification causes the terminal temperature to rise. The detailed process of the high APP being the current APP can be seen in FIG. 3, and details are not described herein.
  • the temperature information of the current device during the current APP operation may be obtained according to the second sampling period, and the temperature information obtained according to the second sampling period is processed by the peak clipping algorithm to obtain the current device temperature during the current APP operation.
  • the value range of the current device temperature during each APP operation is obtained, and the normal value range of the current device temperature according to the value range and the terminal is in the idle state is applied to the APP. Sorting is performed, and a list of APPs causing an increase in terminal temperature is determined based on the sorting result.
  • the occupancy information may be, for example, a length of time, or may occupy a size of a current device resource. Since the occupancy information of each APP is different, the corresponding second weight is different.
  • the occupancy information is the length of time
  • the current device is the CPU
  • the value of the temperature of the CPU during the running of the APP ranges from 25 ° C to 30 ° C
  • the terminal currently runs five APP1, APP2, APP3, APP4, and APP5, according to
  • Each APP occupies a CPU time length to obtain a second weight corresponding to each APP, which is 2, 1, 3, 1.5, and 2.5.
  • a second weight corresponding to each APP which is 2, 1, 3, 1.5, and 2.5.
  • the corresponding CPU temperature ranges from 5 °C to 6 °C, 2.5 °C to 3 °C, 7.5 °C to 9 °C, 3.75 °C to 4.5 °C, and 6.25 °C to 7.5 °C, and after calculating the range of values for each APP,
  • the five APPs are sorted according to the value range, and the sorted APP order is APP3, APP5, APP1, APP4, and APP2.
  • the terminal device temperature normal value range may be acquired, specifically, in the scenario, the temperature information of the current device of the terminal in the preset time period is acquired, and The obtained temperature information is processed to obtain a normal range of values of the current device temperature in the scene.
  • the temperature information of the current device in the preset time period may be obtained from the terminal system interface according to the first sampling period, and the obtained temperature value is processed by using a preset algorithm.
  • the preset algorithm includes a peak clipping algorithm to obtain a normal range of values for the current device temperature when the terminal is in an idle state or a non-idle state.
  • the normal range of values for the current device temperature for the non-idle state can also be obtained by also obtaining:
  • the first weight may be set according to the load state of the current device, and the first weight is calculated according to the first weight and the normal value range of the current device temperature when the terminal is in the idle state.
  • the normal range of values for the current device temperature when the terminal is in a load state may be set according to the load state of the current device, and the first weight is calculated according to the first weight and the normal value range of the current device temperature when the terminal is in the idle state.
  • the normal value of the CPU temperature when the terminal is in the idle state ranges from 25 ° C to 30 ° C.
  • the CPU in the corresponding terminal will be in the load state.
  • the predetermined time period is, for example, 10 minutes
  • the load state of the CPU is 10%
  • the corresponding first weight is obtained according to the load state, such as 1.1.
  • the normal value range of the CPU temperature when the terminal is in the idle state is 25 ° C. 30 ° C
  • the normal value range of the CPU temperature within 10 minutes obtained by multiplying the first weight such as 1.1 is 27.5 ° C to 33 ° C.
  • load states correspond to different first weights
  • the correspondence between the load states and the first weights is an empirical value obtained by analyzing a large amount of historical data.
  • the terminal displays the stop information of the current APP or uninstalls the current APP, so that the user stops the operation or uninstalls according to the boot information. APP with elevated temperature.
  • the trigger operation performed by the user according to the boot information is obtained, and the current APP that causes the terminal temperature to rise is stopped based on the trigger operation.
  • the APP list that causes the terminal temperature to rise is determined according to the sorting result, the guiding information is displayed on the terminal, and the APP that causes the terminal temperature to rise is stopped according to the triggering operation of the user.
  • the APP list includes five APPs that are sorted by value range and can cause the terminal temperature to rise.
  • the terminal displays the guidance information including the APP list.
  • the user can stop running or uninstall one or more of the terminal temperature rises as needed.
  • APP the terminal will stop running or uninstall one or more APPs that cause the terminal temperature to rise according to the user's triggering operation. Therefore, the influence of the APP that can cause the temperature rise of the terminal on the terminal can be reduced, the phenomenon that the terminal is overheated is avoided, and the user experience of the terminal to the terminal is improved.
  • the foregoing method for reducing the temperature of the terminal determines the APP that causes the temperature of the terminal to rise, and stops running or uninstalling the APP that causes the temperature of the terminal to rise, thereby reducing the influence of the APP that can cause the temperature rise of the terminal to the terminal, and avoiding The terminal is overheated, which improves the user experience of the terminal.
  • the present invention also proposes an application identification device that causes an increase in temperature of the terminal.
  • FIG. 5 is a schematic structural diagram of an application identification apparatus for causing a temperature rise of a terminal according to an embodiment of the present invention. As shown in FIG. 5, the apparatus includes an acquisition module 100 and a first determination module 200, wherein:
  • the obtaining module 100 is configured to obtain a numerical range of the current device temperature of the terminal during the running of the current application program in the environment in which the terminal is located; the first determining module 200 is configured to calculate the above numerical range and the terminal is in the environment The ratio of the difference between the normal value range of the current device temperature in the idle state and the normal value range of the current device temperature when the terminal is in the idle state in the above environment, if the ratio is greater than the preset threshold, determining to cause the terminal temperature rise
  • the high APP is the current APP mentioned above.
  • the obtaining module 100 may obtain temperature information of the current device during the current APP operation according to the second sampling period, and process the temperature information obtained according to the second sampling period by using a peak clipping algorithm to obtain the current device during the current APP operation.
  • the range of values for temperature may be obtained using a peak clipping algorithm.
  • the above apparatus may further include a first processing module 300, the first processing module 300 is configured to calculate, between the first determining module 200, the difference between the normal value range of the current device temperature and the normal value range of the current device when the terminal is in an idle state. Before the ratio of the normal value range of the current device temperature in the idle state, determine the scenario where the terminal is located; in the above scenario, obtain the temperature information of the current device of the terminal in the preset time period; and obtain the obtained The temperature information is processed to obtain a normal range of values for the current device temperature in the above scenario.
  • the foregoing scenario may include, but is not limited to, an environment and/or a state in which the terminal is located, the environment in which the terminal is located includes an indoor environment and an outdoor environment, and the state in which the terminal is located includes an idle state and a non-idle state, and the current device may be a central processing unit. CPU, graphics card, sound card and other devices.
  • the first processing module 300 may be configured to: obtain the temperature information of the current device in the preset time period from the terminal system interface according to the first sampling period.
  • the foregoing preset time period may be default in the terminal system, or may be set in the terminal system according to different requirements of the user.
  • the first processing module 300 may obtain, from the terminal system interface, a plurality of sample values of a temperature of a current device, such as a CPU, within a preset time period, for example, 30 minutes, according to a first sampling period, for example, 10 seconds.
  • the foregoing first processing module 300 may be specifically configured to: process the obtained temperature value by using a preset algorithm, where the preset algorithm includes a peak clipping algorithm; and in the foregoing environment, obtain that the terminal is in an idle state or a non-idle state.
  • the foregoing apparatus may further include a second processing module 400, configured to obtain, after the first processing module 300, the normal value range of the current device temperature when the terminal is in an idle state. And setting a first weight according to the load state of the current device, and calculating, according to the first weight and a normal value range of the current device temperature when the terminal is in an idle state, the current device temperature when the terminal is in the load state Normal range of values.
  • the normal value range of the current device temperature when the terminal is in the non-idle state can also be obtained by the second processing module 400.
  • the device may further include a third processing module 500, where the third processing module 500 is configured to obtain, at the first processing module 300, the current current when the terminal is in an idle state, in order to identify the application APP that causes the temperature of the terminal to rise.
  • the third processing module 500 is configured to obtain, at the first processing module 300, the current current when the terminal is in an idle state, in order to identify the application APP that causes the temperature of the terminal to rise.
  • the value range of the current device temperature during the current APP operation is obtained, and the difference between the above numerical range and the normal value range of the current device temperature when the terminal is in the idle state is calculated and the terminal is in an idle state.
  • the ratio of the normal value range of the current device temperature if the ratio is greater than the preset threshold, determining that the APP causing the temperature increase of the terminal is the current APP.
  • the third processing module 500 is specifically configured to: obtain temperature information of the current device during the current APP operation according to the second sampling period, and process the temperature information obtained according to the second sampling period by using a peak clipping algorithm to obtain the current APP.
  • the preset time period may be defaulted in the terminal system, or may be set in the terminal system according to different requirements of the user.
  • the foregoing apparatus may further include a second determining module 600, configured to obtain a value range of the current device temperature during the current APP operation, and corresponding to the current device when the current APP is running. a load state; obtaining a normal value range of the current device temperature when the terminal is in a corresponding load state; and if the value range is not within the normal value range, determining that the APP causing the terminal temperature increase is the current APP.
  • the APP that causes the above-mentioned terminal temperature rise can be similarly identified by the second determination module 600.
  • the second determining module 600 may be configured to: obtain temperature information of the current device during the current APP running according to the second sampling period, and process the temperature information obtained according to the second sampling period by using a peak clipping algorithm to obtain the current The range of values for the current device temperature described above during APP operation.
  • the device may further include a display processing module 700, where the display processing module 700 is configured to determine, at the first determining module 200 or the second determining module 600, the terminal. After the APP with the temperature rise, the guidance information is displayed; and the trigger operation performed by the user according to the above-described guidance information is obtained, and the APP that causes the temperature rise of the terminal is stopped based on the above-described trigger operation.
  • An application identification device that includes an acquisition module 100, a first determination module 200, a first processing module 300, a second processing module 400, a third processing module 500, a second determination module 600, and a display processing module 700 that causes a terminal temperature rise
  • the process of identifying an application that causes an increase in temperature of the terminal can be seen in FIG. 2 or FIG. 3, and details are not described herein.
  • the embodiment of the application identification device for causing the temperature rise of the terminal is obtained by obtaining the value range of the current device temperature during the current APP operation in the environment in which the terminal is located, and calculating the value range by the first determining module and the terminal is in the idle state.
  • the APP that causes the terminal temperature to rise is identified, and when the APP that causes the terminal temperature to rise is determined, the user may be prompted to process the APP to reduce the impact of the APP on the terminal.
  • the present invention further provides a terminal including a housing, a processor, a memory, a circuit board, and a power supply circuit, wherein the circuit board is disposed inside a space enclosed by the housing, and the processor And the above-mentioned memory is disposed on the circuit board; the power supply circuit is configured to supply power to each circuit or device of the terminal; the memory is used to store executable program code; and the processor reads the executable program stored in the memory by reading The code runs a program corresponding to the above executable program code for performing the following steps:
  • the terminal may be a hardware device having various operating systems such as a personal computer PC, a mobile phone, or a tablet computer.
  • the foregoing scenario may include, but is not limited to, an environment and/or a state in which the terminal is located, and the environment in which the terminal is located includes a room.
  • the state in which the terminal is located includes an idle state and a non-idle state.
  • the light sensor or the positioning sensor can be used to determine whether the environment in which the terminal is located is an indoor environment or an outdoor environment.
  • the temperature information of the current device within the preset time period may be obtained from the terminal system interface according to the first sampling period.
  • the preset time period may be defaulted in the terminal system, or may be set by the user in the terminal system according to different requirements.
  • the current device may be a central processing unit CPU, a graphics card, a sound card, a memory, etc., and the embodiment does not limit the device.
  • the terminal is a smart phone
  • the current device is a CPU
  • the smart phone is in an indoor environment
  • the CPU can be obtained from the system interface of the smart phone in a preset time, for example, 30 minutes, according to a first sampling period, for example, 10 seconds. Temperature information.
  • temperature information of the graphics card within a preset time may be obtained from the terminal system interface according to a first sampling period, for example, 2 minutes.
  • the obtained temperature value may be processed by a preset algorithm, and in the environment, a normal value range of the current device temperature when the terminal is in an idle state or a non-idle state is obtained.
  • the preset algorithm may include a peak clipping algorithm.
  • the temperature information of the current device in the preset time period may be processed from the terminal system interface according to the first sampling period, for example, 5 seconds, by using the peak clipping algorithm.
  • the peak algorithm processes the sampled value of the current device temperature within a preset time period, for example, within 30 minutes, and by processing it, a normal value range of the current device temperature in which the terminal is in an idle state within a preset time period, for example, within 30 minutes, can be obtained.
  • a sampling value of 240 CPU temperatures can be obtained, which is 240 CPU temperatures.
  • the sampled values are as follows: 60 CPU temperature samples are 25 ° C, 60 CPU temperature samples are 28 ° C, 80 CPU temperature samples are 30 ° C, and 20 CPU temperatures are 29 ° C.
  • the sampling value of 20 CPU temperatures is 40 °C.
  • the data with a sampling value of 20 CPU temperatures of 40 °C can be removed.
  • the normal value of the CPU temperature in the idle state of the terminal within 20 minutes can be obtained. ⁇ 30 ° C.
  • the temperature information of the current device in the preset time period may be obtained from the terminal system interface according to the first sampling period, for example, 5 seconds, and after obtaining the temperature information, the same
  • the peak clipping algorithm can be used to process the sampled value of the current device temperature within a preset time period, for example, within 30 minutes, and the normal value range of the current device temperature in the non-idle state of the terminal within a predetermined time period, for example, within 30 minutes, can be obtained by processing. .
  • the normal value range of the current device temperature when the terminal is in the non-idle state can also pass Obtained as follows: after obtaining the normal value range of the current device temperature when the terminal is in the idle state, the first weight may be set according to the load state of the current device, according to the first weight and the current device temperature is normal when the terminal is in the idle state. The range of values calculates the normal range of values for the current device temperature when the terminal is in the load state.
  • the normal value of the CPU temperature when the terminal is in the idle state is 25 ° C to 30 ° C.
  • the CPU in the corresponding terminal will be in the load state, if the predetermined time period For example, within 10 minutes, the load state of the CPU is 10%, and the corresponding first weight is obtained according to the load state, such as 1.1.
  • the normal value range of the CPU temperature when the terminal is in the idle state is 25 ° C to 30 ° C and the first The normal value range of the CPU temperature within 10 minutes obtained by multiplying the weights such as 1.1 is 27.5 ° C to 33 ° C.
  • load states correspond to different first weights
  • the correspondence between the load states and the first weights is an empirical value obtained by analyzing a large amount of historical data.
  • the processor is further configured to perform the following steps in the process of identifying an application that causes a temperature rise of the terminal:
  • the terminal may be a hardware device having various operating systems such as a personal computer PC, a mobile phone, or a tablet computer.
  • the foregoing scenario may include, but is not limited to, an environment and/or a state in which the terminal is located, and the environment in which the terminal is located includes an indoor environment and an outdoor environment, and the state in which the terminal is located includes an idle state and a non-idle state.
  • the light sensor or the positioning sensor can be used to determine whether the environment in which the terminal is located is an indoor environment or an outdoor environment.
  • the temperature information of the current device within the preset time period may be obtained from the terminal system interface according to the first sampling period.
  • the preset time period may be defaulted in the terminal system, or may be set by the user in the terminal system according to different requirements.
  • the current device may be a central processing unit CPU, a graphics card, a sound card, a memory, etc., and the embodiment does not limit the device.
  • the terminal is a smart phone
  • the current device is a CPU
  • the smart phone is in an indoor environment
  • the CPU can be obtained from the system interface of the smart phone in a preset time, for example, 30 minutes, according to a first sampling period, for example, 10 seconds. Temperature information.
  • temperature information of the graphics card within a preset time may be obtained from the terminal system interface according to a first sampling period, for example, 2 minutes.
  • the preset temperature algorithm is used to process the obtained temperature value, and obtain a normal value range of the current device temperature when the terminal is in an idle state.
  • the preset algorithm may include a peak clipping algorithm.
  • the environment that is obtained by the terminal for example, the terminal is in an indoor environment, and the terminal is in an idle state, and may be subjected to a peak clipping algorithm according to a first sampling period, for example, 5
  • the temperature information of the current device in a preset time period for example, 30 minutes
  • the peak value algorithm is used to process the sampling value of the current device temperature within a preset time period, for example, 30 minutes.
  • the normal value range of the current device temperature in which the terminal is in an idle state within a preset time period, for example, within 30 minutes, can be obtained.
  • the current device is a CPU
  • the peak clipping algorithm obtains a preset time period, for example, the terminal is in an idle state within 30 minutes, and the normal value range of the current device temperature is 25 ° C to 30 ° C.
  • the temperature information of the current device during the current APP operation may be obtained according to the second sampling period, and the temperature information obtained according to the second sampling period is processed by the peak clipping algorithm to obtain the current device temperature during the current APP operation.
  • first sampling period and the second sampling period may be the same or different.
  • the current device is a CPU and the terminal is in an idle state
  • the normal value of the CPU temperature ranges from 25°C to 30°C.
  • the current CPU value during the current APP operation ranges from 36°C to 40°C.
  • the preset threshold is 15%
  • the prompt information may also be displayed in the terminal.
  • the boot information of stopping the running or uninstalling the current APP may be displayed in the terminal, so as to facilitate the user. Stopping the operation or unloading the APP causing the terminal temperature to rise according to the boot information.
  • the trigger operation performed by the user according to the guidance information may also be obtained, and the APP that causes the terminal temperature to rise is stopped based on the trigger operation.
  • the value range of the current device temperature during the current APP operation in the environment in which the terminal is located is obtained, and the difference between the value range and the normal value range of the current device temperature when the terminal is in the idle state and the current device when the terminal is in the idle state are calculated.
  • the ratio of the normal value range of the temperature if the ratio is greater than the preset threshold, determining that the APP causing the temperature rise of the terminal is the current APP, thereby accurately identifying the APP that causes the terminal temperature to rise, and further determining the temperature rise of the terminal.
  • the user may be prompted to process the APP to reduce the impact of the APP on the terminal.
  • first and second are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated.
  • features defining “first” or “second” may include at least one of the features, either explicitly or implicitly.
  • the meaning of "a plurality” is at least two, such as two, three, etc., unless specifically defined otherwise.
  • a "computer-readable medium” can be any apparatus that can contain, store, communicate, propagate, or transport a program for use in an instruction execution system, apparatus, or device, or in conjunction with the instruction execution system, apparatus, or device.
  • computer readable media include the following: electrical connections (electronic devices) having one or more wires, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM).
  • the computer readable medium may even be a paper or other suitable medium on which the program can be printed, as it may be optically scanned, for example by paper or other medium, followed by editing, interpretation or, if appropriate, other suitable The method is processed to obtain the program electronically and then stored in computer memory.
  • portions of the invention may be implemented in hardware, software, firmware or a combination thereof.
  • multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques well known in the art: having logic gates for implementing logic functions on data signals. Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.
  • each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • the integrated modules, if implemented in the form of software functional modules and sold or used as stand-alone products, may also be stored in a computer readable storage medium.
  • the above mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

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Abstract

一种引起终端温度升高的应用程序识别方法、装置及终端。其中，该方法包括：在终端所处的环境下，获得在当前应用程序APP运行期间终端的当前器件温度的数值范围；计算数值范围和在环境下终端处于空闲状态时当前器件温度的正常数值范围之差与在环境下终端处于空闲状态时当前器件温度的正常数值范围的比值，若比值大于预设阈值，则确定引起终端温度升高的APP为当前APP。该引起终端温度升高的应用程序识别方法、装置及终端，可以准确识别出引起终端温度升高的APP，进而在确定引起终端温度升高的APP时，可提示用户对该APP进行处理，以减少该APP对终端的影响。

Description

引起终端温度升高的应用程序识别方法、装置及终端
相关申请的交叉引用
本申请要求于2014年8月14日提交中国专利局、申请号为201410400632.7、发明名称为“获取终端器件温度正常数值范围的方法、装置及终端”、申请号为201410400879.9、发明名称为“引起终端温度升高的应用程序识别方法、装置及终端”以及申请号为201410400878.4、发明名称为“降低终端温度的方法、装置及终端”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及终端技术领域，尤其涉及一种引起终端温度升高的应用程序识别方法、装置及终端。
背景技术
目前，通过读取终端系统接口可以获得终端中每个器件温度的瞬时值，例如，终端为智能手机，通过读取智能手机的系统接口可以获得智能手机中的中央处理单元CPU(Central Processing Unit)、显卡、声卡等器件温度的瞬时值。
通常情况下，安装在终端的应用程序APP(APPlication)在运行的过程中会引起终端器件温度的变化，进而引起终端温度的变化，相关技术中仅是给出终端器件温度的瞬时值，并未给出不同场景下终端器件温度的正常数值范围，目前无法通过终端器件的正常数值范围识别出引起终端温度升高的APP，通常能引起终端温度升高的APP在运行过程中会占用终端的大量资源，不仅会引起终端温度的升高，还会影响终端的运行效率，用户体验较差。
发明内容
本发明旨在至少在一定程度上解决相关技术中的技术问题之一。为此，本发明的第一个目的在于提出一种引起终端温度升高的应用程序识别方法，该方法可以准确识别出引起终端温度升高的APP，进而在确定引起终端温度升高的APP时，可提示用户对该APP进行处理，以减少该APP对终端的影响。
本发明的第二个目的在于提出一种引起终端温度升高的应用程序识别装置。
本发明的第三个目的在于提出一种终端。
为了实现上述目的，本发明第一方面实施例提出了一种引起终端温度升高的应用程序识别方法，包括：在所述终端所处的环境下，获得在当前应用程序APP运行期间所述终端的当前器件温度的数值范围；计算所述数值范围和在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围之差与在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围的比值，若所述比值大于预设阈值，则确定引起所述终端温度升高的APP为所述当前APP。
本发明实施例的引起终端温度升高的应用程序识别方法，获得终端所处的环境下当前APP运行期间当前器件温度的数值范围，并计算数值范围和终端处于空闲状态时当前器件温度的正常数值范围之差与终端处于空闲状态时当前器件温度的正常数值范围的比值，若比值大于预设阈值，则确定引起终端温度升高的APP为当前APP，由此，可以准确识别出引起终端温度升高的APP，进而在确定引起终端温度升高的APP时，可提示用户对该APP进行处理，以减少该APP对终端的影响。
为了实现上述目的，本发明第二方面实施例提出了一种引起终端温度升高的应用程序识别装置，包括：第一获取模块，用于在所述终端所处的环境下，获得在当前应用程序APP运行期间所述终端的当前器件温度的数值范围；第一确定模块，用于计算所述数值范围和在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围之差与在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围的比值，若所述比值大于预设阈值，则确定引起所述终端温度升高的APP为所述当前APP。
本发明实施例的引起终端温度升高的应用程序识别装置，通过获取模块获得终端所处的环境下当前APP运行期间当前器件温度的数值范围，并通过第一确定模块计算数值范围和终端处于空闲状态时当前器件温度的正常数值范围之差与终端处于空闲状态时当前器件温度的正常数值范围的比值，若比值大于预设阈值，则确定引起终端温度升高的APP为当前APP，由此，可以准确识别出引起终端温度升高的APP，进而在确定引起终端温度升高的APP时，可提示用户对该APP进行处理，以减少该APP对终端的影响。
为实现上述目的，本发明第三方面实施例提出了一种终端，所述终端包括壳体、处理器、存储器、电路板和电源电路，其中，所述电路板安置在所述壳体围成的空间内部，所述处理器和所述存储器设置在所述电路板上；所述电源电路，用于为所述终端的各个电路或器件供电；所述存储器用于存储可执行程序代码；所述处理器通过读取所述存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以用于执行以下步骤：在所述终端所处 的环境下，获得在当前应用程序APP运行期间所述终端的当前器件温度的数值范围；计算所述数值范围和在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围之差与在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围的比值，若所述比值大于预设阈值，则确定引起所述终端温度升高的APP为所述当前APP。
本发明实施例的终端，获得终端所处的环境下当前APP运行期间当前器件温度的数值范围，并计算数值范围和终端处于空闲状态时当前器件温度的正常数值范围之差与终端处于空闲状态时当前器件温度的正常数值范围的比值，若比值大于预设阈值，则确定引起终端温度升高的APP为当前APP，由此，可以准确识别出引起终端温度升高的APP，进而在确定引起终端温度升高的APP时，可提示用户对该APP进行处理，以减少该APP对终端的影响。
本发明附加的方面和优点将在下面的描述中部分给出，部分将从下面的描述中变得明显，或通过本发明的实践了解到。
附图说明
图1是根据本发明一个实施例的获取终端器件温度正常数值范围的方法的流程图。
图2是根据本发明一个实施例的引起终端温度升高的应用程序识别方法的流程图。
图3是根据本发明另一个实施例的引起终端温度升高的应用程序识别方法的流程图。
图4是根据本发明一个实施例的降低终端温度的方法的流程图。
图5是根据本发明一个实施例的引起终端温度升高的应用程序识别装置的结构示意图。
图6是根据本发明另一个实施例的引起终端温度升高的应用程序识别装置的结构示意图。
具体实施方式
下面详细描述本发明的实施例，所述实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，旨在用于解释本发明，而不能理解为对本发明的限制。
下面参考附图描述本发明实施例的引起终端温度升高的应用程序识别方法、装置及终端。
图1是根据本发明一个实施例的获取终端器件温度正常数值范围的方法的流程图，如图1所示，该方法包括：
S100，确定所述终端所处的场景。
在该实施例中，上述终端可以是个人计算机PC、手机、平板电脑等具有各种操作系统的硬件设备。
其中，上述场景可以包括但不限于终端所处的环境和/或状态，终端所处的环境包括室内环境和室外环境，终端所处的状态包括空闲状态和非空闲状态。
例如，可通过光线传感器或者定位传感器确定终端所处的环境是室内环境还是室外环境。
S101，在场景下，获取终端当前器件在预设时间段内的温度信息。
具体地，确定终端所处的场景后，在场景下，可按照第一采样周期从终端系统接口中获取当前器件在预设时间段内的温度信息。其中，预设时间段可以是终端系统中默认的，也可以是用户根据不同的需求在终端系统中设置的。其中，上述当前器件可以是中央处理单元CPU、显卡、声卡、内存等器件，该实施例不对器件不做限定。
例如，假定终端为智能手机，当前器件为CPU，智能手机处于室内环境下，此时，可按照第一采样周期例如10秒从智能手机的系统接口中获得CPU在预设时间例如30分钟内的温度信息。
再例如，假定终端处于室外环境下，当前器件为显卡，可按照第一采样周期例如2分钟从终端系统接口中获得显卡在预设时间例如20分钟内的温度信息。
S102，对获取到的温度信息进行处理，获得在场景下当前器件温度的正常数值范围。
在该实施例中，可采用预设算法对获取到的温度值进行处理，并在终端所处的环境下，获得在终端处于空闲状态或非空闲状态时当前器件温度的正常数值范围。其中，预设算法可以包括削峰算法。
具体地，确定终端所处的环境比如终端位于室内环境中，假定终端处于空闲状态下，可通过削峰算法对按照第一采样周期例如5秒从终端系统接口中获取当前器件在预设时间段例如30分钟内的温度信息进行处理，即可通过削峰算法对预设时间段例如30分钟内的当前器件温度的采样值进行处理，通过对其处理可以获得预设时间段例如30分钟内终端处于空闲状态当前器件温度的正常数值范围。
例如，终端处于室内环境，当前器件为CPU，且终端处于空闲状态下，假定预设时间段为20分钟，第一采样周期为5秒，此时，可以获得240个CPU温度的采样值，这240个CPU温度的采样值的情况如下：60个CPU温度的采样值为25℃，60个CPU温度的采样值为28℃，80个CPU温度的采样值为30℃，20个CPU温度的采样值为29℃，20个CPU温度的采样值为40℃，此时，可将20个CPU温度的采样值为40℃的数据去掉，最终可以获得20分钟内终端处于空闲状态下CPU温度的正常数值范围为25℃～30℃。
若终端处于非空闲状态下，此时，可以按照第一采样周期例如5秒从终端系统接口中获 取当前器件在预设时间段例如30分钟内的温度信息，并在获得温度信息后，同样地，可通过削峰算法对预设时间段内例如30分钟内的当前器件温度的采样值进行处理，通过处理可以获得预设时间段例如30分钟内终端处于非空闲状态当前器件温度的正常数值范围。
另外，在该实施例中，终端处于非空闲状态时当前器件温度的正常数值范围，还可以通过如下方式获得：在获得在终端处于空闲状态时当前器件温度的正常数值范围之后，可以根据当前器件的负载状态设置第一权重，根据第一权重和在终端处于空闲状态时当前器件温度的正常数值范围，计算出在终端处于负载状态时当前器件温度的正常数值范围。
例如，终端处于室内环境，当前器件为CPU，假定获得终端处于空闲状态时CPU温度的正常数值范围为25℃～30℃，当终端处于非空闲状态时，对应的终端中的CPU将处于负载状态，若预定时间段例如10分钟内，CPU的负载状态为10％，根据负载状态获得对应的第一权重比如1.1，此时，可将终端处于空闲状态时CPU温度的正常数值范围为25℃～30℃与第一权重比如1.1相乘获得10分钟内CPU温度的正常数值范围为27.5℃～33℃。
需要说明的是，不同负载状态对应着不同的第一权重，并且负载状态与第一权重的对应关系为根据大量历史数据进行分析获得的经验值。
上述获取终端器件温度正常数值范围的方法实施例，确定终端所处的场景，并获取该场景下终端当前器件在预设时间段内的温度信息，并对获取到的温度信息进行处理，以获得在场景下当前器件温度的正常数值范围，由此，可以准确获得不同场景下终端器件温度的正常数值范围，方便用户及时了解终端器件的运行情况。
通常情况下，终端中运行的应用程序APP(APPlication)会引起终端器件温度的变化，若终端中运行的应用程序引起器件温度变化超出了预设阈值，终端中运行的应用程序容易导致终端温度升高。其中，预设阈值可以是终端系统中默认的，也可以是用户根据不同的需求在终端系统中设置的。具体地，识别引起终端温度升高的应用程序的过程如图2所示，图2是根据本发明一个实施例的引起终端温度升高的应用程序识别方法的流程图，该实施例以终端当前仅运行了一个应用程序为例进行描述，如图2所示，该方法包括：
S200，确定所述终端所处的场景。
步骤S200与步骤S100相同，对步骤S100的解释说明也适用于步骤S200。
S201，在场景下，获取终端当前器件在预设时间段内的温度信息。
步骤S201与步骤S101相同，对步骤S101的解释说明也适用于步骤S201。
S202，采用预设算法对获取到的温度值进行处理，并获得在终端处于空闲状态时当前器件温度的正常数值范围。
在该实施例中，上述预设算法可以包括削峰算法。具体地，获得终端所述的环境例如终 端处于室内环境中，并且终端处于空闲状态下，可通过削峰算法对按照第一采样周期例如5秒从终端系统接口中获取当前器件在预设时间段例如30分钟内的温度信息进行处理，即可通过削峰算法对预设时间段例如30分钟内的当前器件温度的采样值进行处理，通过对其处理可以获得预设时间段例如30分钟内终端处于空闲状态当前器件温度的正常数值范围。
例如，当前器件为CPU，通过削峰算法获得预设时间段例如30分钟内终端处于空闲状态当前器件温度的正常数值范围为25℃～30℃。
S203，获得在当前APP运行期间当前器件温度的数值范围。
在该实施例中，可以按照第二采样周期获得在当前APP运行期间当前器件的温度信息，采用削峰算法对按照第二采样周期获得的温度信息进行处理，获得在当前APP运行期间当前器件温度的数值范围。
需要说明的是，第一采样周期与第二采样周期可以相同，也可以不相同。
S204，计算数值范围和终端处于空闲状态时当前器件温度的正常数值范围之差与终端处于空闲状态时当前器件温度的正常数值范围的比值，若比值大于预设阈值，则确定引起终端温度升高的APP为当前APP。
例如，当前器件为CPU，终端处于空闲状态CPU温度的正常数值范围为25℃～30℃，当前APP运行期间CPU温度的数值范围为36℃～40℃，假定预设阈值为15％，计算当前APP运行期间CPU温度与终端处于空闲状态时CPU温度的最小比值是否大于15％，通过计算可以获得当前APP运行期间CPU温度与终端处于空闲状态时CPU温度的最小比值为0.2(20％)大于预设阈值15％，则确定当前APP可以引起终端温度升高。
在该实施例中，在确定当前APP为引起终端温度升高的APP之后，还可以在终端中显示提示信息，具体地，可在终端中显示停止运行或者卸载当前APP的引导信息，以方便用户根据引导信息停止运行或卸载引起终端温度升高的APP。
在显示引导信息后，若用户需要停止运行或卸载引起终端温度升高的APP，则还可以获得用户根据引导信息执行的触发操作，并基于触发操作停止运行或卸载引起终端温度升高的APP。
上述引起终端温度升高的应用程序识别方法实施例，获得终端所处的环境下当前APP运行期间当前器件温度的数值范围，并计算数值范围和终端处于空闲状态时当前器件温度的正常数值范围之差与终端处于空闲状态时当前器件温度的正常数值范围的比值，若比值大于预设阈值，则确定引起终端温度升高的APP为当前APP，由此，可以准确识别出引起终端温度升高的APP，进而在确定引起终端温度升高的APP时，可提示用户对该APP进行处理，以减少该APP对终端的影响。
图3是根据本发明另一个实施例的引起终端温度升高的应用程序识别方法的流程图，该实施例以终端当前仅运行了一个应用程序为例进行描述，如图3所示，该方法包括：
S300，确定所述终端所处的场景。
步骤S300与步骤S100相同，对步骤S100的解释说明也适用于步骤S300。
S301，在场景下，获取终端当前器件在预设时间段内的温度信息。
步骤S301与步骤S101相同，对步骤S301的解释说明也适用于步骤S101。
S302，采用预设算法对获取到的温度值进行处理，并获得在终端处于空闲状态时当前器件温度的正常数值范围。
在该实施例中，上述预设算法可以包括削峰算法。具体地，终端处于空闲状态下，可通过削峰算法对按照第一采样周期例如5秒从终端系统接口中获取当前器件在预设时间段例如30分钟内的温度信息进行处理，即可通过削峰算法对预设时间段例如30分钟内的当前器件温度的采样值进行处理，通过对其处理可以获得预设时间段例如30分钟内终端处于空闲状态当前器件温度的正常数值范围。
例如，当前器件为CPU，通过削峰算法获得预设时间段例如30分钟内终端处于空闲状态当前器件温度的正常数值范围为25℃～30℃。
S303，获得在当前APP运行期间当前器件温度的数值范围和当前APP运行时当前器件对应的负载状态。
在该实施例中，可以按照第二采样周期获得在当前APP运行期间当前器件的温度信息，并采用削峰算法对按照第二采样周期获得的温度信息进行处理，获得在当前APP运行期间当前器件温度的数值范围。
需要说明的是，第一采样周期与第二采样周期可以相同，也可以不相同。
S304，获得终端处于对应的负载状态时当前器件温度的正常数值范围。
具体地，根据当前APP运行时当前器件对应的负载状态设置第一权重，根据第一权重和在终端处于空闲状态时当前器件温度的正常数值范围，计算出在终端处于对应的负载状态时当前器件温度的正常数值范围。
需要说明的是，不同负载状态对应着不同的第一权重，并且负载状态与第一权重的对应关系为根据大量历史数据进行分析获得的经验值。
例如，当前器件为CPU，假定获得终端处于空闲状态时CPU温度的正常数值范围为25℃～30℃，当前APP运行时CPU对应的负载状态为10％，根据负载状态获得对应的第一权重比如1.1，此时，可将终端处于空闲状态时CPU温度的正常数值范围为25℃～30℃与第一权重比如1.1相乘获得当前APP运行期间对应的CPU温度的正常数值范围为27.5℃～33℃。
S305，若数值范围未位于正常数值范围内，则确定引起终端温度升高的APP为当前APP。
例如，当前器件为CPU，计算出在当前APP运行期间CPU温度的数值范围29℃～35℃，当前APP运行期间对应的CPU温度的正常数值范围为27.5℃～33℃，通过比较可以判断出在当前APP运行期间CPU温度的数值范围未位于其对应的正常数值范围内，则可以确定当前APP为引起终端温度升高的APP。
在该实施例中，在确定当前APP为引起终端温度升高的APP之后，还可以在终端中显示提示信息，具体地，可在终端中显示停止运行或者卸载当前APP的引导信息，以方便用户根据引导信息停止运行或卸载引起终端温度升高的APP。
在显示引导信息后，若用户需要停止运行或卸载引起终端温度升高的APP，则获得用户根据引导信息执行的触发操作，并基于触发操作停止运行或卸载引起终端温度升高的APP。
上述引起终端温度升高的应用程序识别方法实施例，获得终端所处的环境下当前APP运行期间当前器件温度的数值范围，并获得终端处于对应的负载状态时当前器件温度的正常数值范围，若数值范围未位于正常数值范围内，则确定引起终端温度升高的APP为当前APP，由此，可以准确识别出引起终端温度升高的APP，进而在确定引起终端温度升高的APP时，可提示用户对该APP进行处理，以减少该APP对终端的影响。
图4是根据本发明一个实施例的降低终端温度的方法的流程图，如图4所示，该方法包括：
S401，确定引起终端温度升高的APP。
具体地，在终端所处的环境下，若终端中仅运行一个APP，则获得在当前应用程序APP运行期间终端的当前器件温度的数值范围；以及计算数值范围和在终端所处的环境下终端处于空闲状态时当前器件温度的正常数值范围之差与在终端所处的环境下终端处于空闲状态时当前器件温度的正常数值范围的比值，若比值大于预设阈值，则确定引起终端温度升高的APP为当前APP。其中，终端所处的环境可以是室内环境，也可以是室外环境。需要说明的是，上述识别出引起终端温度升高的APP为当前APP的详细过程可参见图2，此处不赘述。
上述预设阈值可以是终端系统中默认的，也可以是用户根据不同的需求在终端系统中设置的。
另外，作为一种可选方式，在终端所处的环境下，若终端中仅运行一个APP，还可以通过另一种方式识别出引起终端温度升高的APP为当前APP。具体地，获得在当前APP运行期间当前器件温度的数值范围和当前APP运行时当前器件对应的负载状态；获得终端处于对应的负载状态时当前器件温度的正常数值范围；以及若数值范围未位于正常数值范围内，则确定引起终端温度升高的APP为当前APP。需要说明的是，上述识别出引起终端温度升 高的APP为当前APP的详细过程可参见图3，此处不赘述。
在该实施例中，可按照第二采样周期获得在当前APP运行期间当前器件的温度信息，采用削峰算法对按照第二采样周期获得的温度信息进行处理，获得在当前APP运行期间当前器件温度的数值范围。
在终端所处的环境下，若终端中运行了多个APP，则获得在每个APP运行期间当前器件温度的数值范围，按照数值范围和终端处于空闲状态时当前器件温度的正常数值范围对APP进行排序，并根据排序结果确定引起终端温度升高的APP列表。
在该实施例中，占用信息例如可以是时间长度，还可以是占用当前器件资源的大小，由于每个APP的占用信息不同，其对应的第二权重也不相同。
例如，假定占用信息为时间长度，当前器件为CPU，获得APP运行过程中的CPU的温度的数值范围为25℃～30℃，终端当前运行了五个APP1、APP2、APP3、APP4和APP5，根据每个APP占用CPU时间长度获得每个APP分别对应的第二权重为2、1、3、1.5、2.5，由此通过每个APP的权重，可以计算出APP1、APP2、APP3、APP4和APP5分别对应的CPU温度的数值范围为5℃～6℃、2.5℃～3℃、7.5℃～9℃、3.75℃～4.5℃和6.25℃～7.5℃，并在计算每个APP的数值范围后，可按照数值范围对这五个APP进行排序，排序后的APP顺序为APP3、APP5、APP1、APP4和APP2。
另外，在该实施例中，在计算比值或者对APP进行排序之前，还可以获取终端器件温度正常数值范围，具体地，在场景下，获取终端当前器件在预设时间段内的温度信息，以及对获取到的温度信息进行处理，获得在场景下当前器件温度的正常数值范围。
需要说明的是，获取终端器件温度正常数值范围的详细过程可参见图1，此处不赘述。
具体而言，在终端所处的环境下，可按照第一采样周期从终端系统接口中获取当前器件在预设时间段内的温度信息，并采用预设算法对获取到的温度值进行处理，预设算法包括削峰算法，获得在终端处于空闲状态或非空闲状态时当前器件温度的正常数值范围。
在该实施例中，对于非空闲状态时当前器件温度的正常数值范围还可以通过还可以通过如下方式获得：
在获得在终端处于空闲状态时当前器件温度的正常数值范围之后，可以根据当前器件的负载状态设置第一权重，根据第一权重和在终端处于空闲状态时当前器件温度的正常数值范围，计算出在终端处于负载状态时当前器件温度的正常数值范围。
例如，终端位于室内，并且当前器件为CPU，假定获得终端处于空闲状态时CPU温度的正常数值范围为25℃～30℃，当终端处于非空闲状态时，对应的终端中的CPU将处于负载状态，若预定时间段例如10分钟内，CPU的负载状态为10％，根据负载状态获得对应的第一权重比如1.1，此时，可将终端处于空闲状态时CPU温度的正常数值范围为25℃～30℃ 与第一权重比如1.1相乘获得10分钟内CPU温度的正常数值范围为27.5℃～33℃。
需要说明的是，不同负载状态对应着不同的第一权重，并且负载状态与第一权重的对应关系为根据大量历史数据进行分析获得的经验值。
S402，停止运行或卸载引起终端温度升高的APP。
若终端中当前仅运行一个APP，若确定当前APP为确定引起终端温度升高的APP，则在终端上显示停止运行或者卸载当前APP的引导信息，以方便用户根据引导信息停止运行或卸载引起终端温度升高的APP。
在显示引导信息后，若用户需要停止运行或卸载当前APP，则获得用户根据引导信息执行的触发操作，并基于触发操作停止运行或卸载引起终端温度升高的当前APP。
若当前中当前仅运行多个APP，则根据排序结果确定引起终端温度升高的APP列表，在终端上显示引导信息，并根据用户的触发操作停止运行或卸载引起终端温度升高的APP。
例如，APP列表中包含5个按照数值范围排序的能引起终端温度升高的APP，终端显示的包含APP列表的引导信息，用户可根据需要停止运行或卸载引起终端温度升高的一个或者多个APP，终端将根据用户的触发操作停止运行或卸载引起终端温度升高的一个或者多个APP。由此可减少能引起终端温度升高的APP对终端的影响，避免了终端出现过热的现象，提高了用户对终端的用户体验度。
上述降低终端温度的方法实施例，确定引起终端温度升高的APP，并停止运行或卸载引起终端温度升高的APP，由此可减少能引起终端温度升高的APP对终端的影响，避免了终端出现过热的现象，提高了用户对终端的用户体验度。
为了实现上述实施例，本发明还提出一种引起终端温度升高的应用程序识别装置。
图5是根据本发明一个实施例的引起终端温度升高的应用程序识别装置的结构示意图，如图5所示，该装置包括获取模块100和第一确定模块200，其中：
获取模块100用于在终端所处的环境下，获得在当前应用程序APP运行期间上述终端的当前器件温度的数值范围；第一确定模块200用于计算上述数值范围和在上述环境下上述终端处于空闲状态时上述当前器件温度的正常数值范围之差与在上述环境下上述终端处于空闲状态时上述当前器件温度的正常数值范围的比值，若上述比值大于预设阈值，则确定引起上述终端温度升高的APP为上述当前APP。
上述获取模块100可以按照第二采样周期获得在当前APP运行期间上述当前器件的温度信息，采用削峰算法对按照上述第二采样周期获得的温度信息进行处理，获得在当前APP运行期间上述当前器件温度的数值范围。
为了可以获得场景下当前器件温度的正常数值范围，如图6所示，上述装置还可以包括 第一处理模块300，第一处理模块300用于在上述第一确定模块200计算上述数值范围和在上述环境下上述终端处于空闲状态时上述当前器件温度的正常数值范围之差与在上述环境下上述终端处于空闲状态时上述当前器件温度的正常数值范围的比值之前，确定终端所处的场景；在上述场景下，获取上述终端当前器件在预设时间段内的温度信息；以及对获取到的温度信息进行处理，获得在上述场景下上述当前器件温度的正常数值范围。
上述场景可以包括但不限于终端所处的环境和/或状态，终端所处的环境包括室内环境和室外环境，终端所处的状态包括空闲状态和非空闲状态，上述当前器件可以是中央处理单元CPU、显卡、声卡等器件。
上述第一处理模块300具体可以用于：按照第一采样周期从终端系统接口中获取上述当前器件在预设时间段内的温度信息。其中，其中，上述预设时间段可以是终端系统中默认的，也可以是用户根据不同的需求在终端系统中设置的。
具体地，第一处理模块300可按照第一采样周期例如10秒从终端系统接口中获得当前器件例如CPU在预设时间段例如30分钟内温度的多个采样值。
上述第一处理模块300具体可以用于：采用预设算法对获取到的温度值进行处理，上述预设算法包括削峰算法；以及在上述环境下，获得在上述终端处于空闲状态或非空闲状态时上述当前器件温度的正常数值范围。
作为一种可选方式，上述装置还可以包括第二处理模块400，该第二处理模块400用于在上述第一处理模块300获得在上述终端处于空闲状态时上述当前器件温度的正常数值范围之后，根据上述当前器件的负载状态设置第一权重，根据上述第一权重和在上述终端处于空闲状态时上述当前器件温度的正常数值范围，计算出在上述终端处于上述负载状态时上述当前器件温度的正常数值范围。通过第二处理模块400同样可以获得终端处于非空闲状态时上述当前器件温度的正常数值范围。
为了可以识别出引起终端温度升高的应用程序APP，上述装置还可以包括第三处理模块500，该第三处理模块500用于在上述第一处理模块300获得在上述终端处于空闲状态时上述当前器件温度的正常数值范围之后，获得在当前APP运行期间上述当前器件温度的数值范围，并计算上述数值范围和上述终端处于空闲状态时上述当前器件温度的正常数值范围之差与上述终端处于空闲状态时上述当前器件温度的正常数值范围的比值，若上述比值大于预设阈值，则确定引起上述终端温度升高的APP为上述当前APP。
上述第三处理模块500具体用于：按照第二采样周期获得在当前APP运行期间上述当前器件的温度信息，采用削峰算法对按照上述第二采样周期获得的温度信息进行处理，获得在当前APP运行期间上述当前器件温度的数值范围。其中，上述预设时间段可以是终端系统中默认的，也可以是用户根据不同的需求在终端系统中设置的。
作为一种可选方式，上述装置还可以包括第二确定模块600，该第二确定模块600用于获得在上述当前APP运行期间上述当前器件温度的数值范围和上述当前APP运行时上述当前器件对应的负载状态；获得上述终端处于对应的负载状态时上述当前器件温度的正常数值范围；以及若上述数值范围未位于上述正常数值范围内，则确定引起上述终端温度升高的APP为上述当前APP。通过第二确定模块600同样地可以识别出引起上述终端温度升高的APP。
上述第二确定模块600具体可以用于：按照第二采样周期获得在当前APP运行期间上述当前器件的温度信息，采用削峰算法对按照上述第二采样周期获得的温度信息进行处理，获得在当前APP运行期间上述当前器件温度的数值范围。
为了方便用户对引起上述终端温度升高的APP进行处理，上述装置还可以包括显示处理模块700，该显示处理模块700用于在上述第一确定模块200或者上述第二确定模块600确定引起上述终端温度升高的APP之后，显示引导信息；以及获得用户根据上述引导信息执行的触发操作，并基于上述触发操作停止运行或卸载引起上述终端温度升高的APP。
包含获取模块100、第一确定模块200、第一处理模块300、第二处理模块400、第三处理模块500、第二确定模块600和显示处理模块700的引起终端温度升高的应用程序识别装置识别引起终端温度升高的应用程序的过程可参见图2或者图3，此处不赘述。
上述引起终端温度升高的应用程序识别装置实施例，通过获取模块获得终端所处的环境下当前APP运行期间当前器件温度的数值范围，并通过第一确定模块计算数值范围和终端处于空闲状态时当前器件温度的正常数值范围之差与终端处于空闲状态时当前器件温度的正常数值范围的比值，若比值大于预设阈值，则确定引起终端温度升高的APP为当前APP，由此，可以准确识别出引起终端温度升高的APP，进而在确定引起终端温度升高的APP时，可提示用户对该APP进行处理，以减少该APP对终端的影响。
为了实现上述实施例，本发明还提出一种终端，该终端包括壳体、处理器、存储器、电路板和电源电路，其中，上述电路板安置在上述壳体围成的空间内部，上述处理器和上述存储器设置在上述电路板上；上述电源电路，用于为上述终端的各个电路或器件供电；上述存储器用于存储可执行程序代码；上述处理器通过读取上述存储器中存储的可执行程序代码来运行与上述可执行程序代码对应的程序，以用于执行以下步骤：
S100＇，确定所述终端所处的场景。
在该实施例中，上述终端可以是个人计算机PC、手机、平板电脑等具有各种操作系统的硬件设备。
其中，上述场景可以包括但不限于终端所处的环境和/或状态，终端所处的环境包括室 内环境和室外环境，终端所处的状态包括空闲状态和非空闲状态。
例如，可通过光线传感器或者定位传感器确定终端所处的环境是室内环境还是室外环境。
S101＇，在场景下，获取终端当前器件在预设时间段内的温度信息。具体地，确定终端所处的场景后，在场景下，可按照第一采样周期从终端系统接口中获取当前器件在预设时间段内的温度信息。其中，预设时间段可以是终端系统中默认的，也可以是用户根据不同的需求在终端系统中设置的。其中，上述当前器件可以是中央处理单元CPU、显卡、声卡、内存等器件，该实施例不对器件不做限定。
例如，假定终端为智能手机，当前器件为CPU，智能手机处于室内环境下，此时，可按照第一采样周期例如10秒从智能手机的系统接口中获得CPU在预设时间例如30分钟内的温度信息。
再例如，假定终端处于室外环境下，当前器件为显卡，可按照第一采样周期例如2分钟从终端系统接口中获得显卡在预设时间例如20分钟内的温度信息。
S102＇，对获取到的温度信息进行处理，获得在场景下当前器件温度的正常数值范围。
在该实施例中，可采用预设算法对获取到的温度值进行处理，并在环境下，获得在终端处于空闲状态或非空闲状态时当前器件温度的正常数值范围。其中，预设算法可以包括削峰算法。
具体地，终端处于空闲状态下，可通过削峰算法对按照第一采样周期例如5秒从终端系统接口中获取当前器件在预设时间段例如30分钟内的温度信息进行处理，即可通过削峰算法对预设时间段例如30分钟内的当前器件温度的采样值进行处理，通过对其处理可以获得预设时间段例如30分钟内终端处于空闲状态当前器件温度的正常数值范围。
例如，当前器件为CPU，且终端处于空闲状态下，假定预设时间段为20分钟，第一采样周期为5秒，此时，可以获得240个CPU温度的采样值，这240个CPU温度的采样值的情况如下：60个CPU温度的采样值为25℃，60个CPU温度的采样值为28℃，80个CPU温度的采样值为30℃，20个CPU温度的采样值为29℃，20个CPU温度的采样值为40℃，此时，可将20个CPU温度的采样值为40℃的数据去掉，最终可以获得20分钟内终端处于空闲状态下CPU温度的正常数值范围为25℃～30℃。
若终端处于非空闲状态下，此时，可以按照第一采样周期例如5秒从终端系统接口中获取当前器件在预设时间段例如30分钟内的温度信息，并在获得温度信息后，同样地，可通过削峰算法对预设时间段内例如30分钟内的当前器件温度的采样值进行处理，通过处理可以获得预设时间段例如30分钟内终端处于非空闲状态当前器件温度的正常数值范围。
另外，在该实施例中，终端处于非空闲状态时当前器件温度的正常数值范围，还可以通 过如下方式获得：在获得在终端处于空闲状态时当前器件温度的正常数值范围之后，可以根据当前器件的负载状态设置第一权重，根据第一权重和在终端处于空闲状态时当前器件温度的正常数值范围，计算出在终端处于负载状态时当前器件温度的正常数值范围。
例如，当前器件为CPU，假定获得终端处于空闲状态时CPU温度的正常数值范围为25℃～30℃，当终端处于非空闲状态时，对应的终端中的CPU将处于负载状态，若预定时间段例如10分钟内，CPU的负载状态为10％，根据负载状态获得对应的第一权重比如1.1，此时，可将终端处于空闲状态时CPU温度的正常数值范围为25℃～30℃与第一权重比如1.1相乘获得10分钟内CPU温度的正常数值范围为27.5℃～33℃。
需要说明的是，不同负载状态对应着不同的第一权重，并且负载状态与第一权重的对应关系为根据大量历史数据进行分析获得的经验值。
另外，在识别引起终端温度升高的应用程序的过程中，该处理器还用于执行以下步骤：
S200＇，确定所述终端所处的场景。
在该实施例中，上述终端可以是个人计算机PC、手机、平板电脑等具有各种操作系统的硬件设备。
其中，上述场景可以包括但不限于终端所处的环境和/或状态，终端所处的环境包括室内环境和室外环境，终端所处的状态包括空闲状态和非空闲状态。
例如，可通过光线传感器或者定位传感器确定终端所处的环境是室内环境还是室外环境。
S201＇，在场景下，获取终端当前器件在预设时间段内的温度信息。
具体地，确定终端所处的场景后，在场景下，可按照第一采样周期从终端系统接口中获取当前器件在预设时间段内的温度信息。其中，预设时间段可以是终端系统中默认的，也可以是用户根据不同的需求在终端系统中设置的。其中，上述当前器件可以是中央处理单元CPU、显卡、声卡、内存等器件，该实施例不对器件不做限定。
例如，假定终端为智能手机，当前器件为CPU，智能手机处于室内环境下，此时，可按照第一采样周期例如10秒从智能手机的系统接口中获得CPU在预设时间例如30分钟内的温度信息。
再例如，假定终端处于室外环境下，当前器件为显卡，可按照第一采样周期例如2分钟从终端系统接口中获得显卡在预设时间例如20分钟内的温度信息。
S202＇，采用预设算法对获取到的温度值进行处理，并获得在终端处于空闲状态时当前器件温度的正常数值范围。
在该实施例中，上述预设算法可以包括削峰算法。具体地，获得终端所述的环境例如终端处于室内环境中，并且终端处于空闲状态下，可通过削峰算法对按照第一采样周期例如5 秒从终端系统接口中获取当前器件在预设时间段例如30分钟内的温度信息进行处理，即可通过削峰算法对预设时间段例如30分钟内的当前器件温度的采样值进行处理，通过对其处理可以获得预设时间段例如30分钟内终端处于空闲状态当前器件温度的正常数值范围。
例如，当前器件为CPU，通过削峰算法获得预设时间段例如30分钟内终端处于空闲状态当前器件温度的正常数值范围为25℃～30℃。
S203＇，获得在当前APP运行期间当前器件温度的数值范围。
在该实施例中，可以按照第二采样周期获得在当前APP运行期间当前器件的温度信息，采用削峰算法对按照第二采样周期获得的温度信息进行处理，获得在当前APP运行期间当前器件温度的数值范围。
需要说明的是，第一采样周期与第二采样周期可以相同，也可以不相同。
S204＇，计算数值范围和终端处于空闲状态时当前器件温度的正常数值范围之差与终端处于空闲状态时当前器件温度的正常数值范围的比值，若比值大于预设阈值，则确定引起终端温度升高的APP为当前APP。
例如，当前器件为CPU，终端处于空闲状态CPU温度的正常数值范围为25℃～30℃，当前APP运行期间CPU温度的数值范围为36℃～40℃，假定预设阈值为15％，计算当前APP运行期间CPU温度与终端处于空闲状态时CPU温度的最小比值是否大于15％，通过计算可以获得当前APP运行期间CPU温度与终端处于空闲状态时CPU温度的最小比值为0.2(20％)大于预设阈值15％，则确定当前APP可以引起终端温度升高。
在该实施例中，在确定当前APP为引起终端温度升高的APP之后，还可以在终端中显示提示信息，具体地，可在终端中显示停止运行或者卸载当前APP的引导信息，以方便用户根据引导信息停止运行或卸载引起终端温度升高的APP。
在显示引导信息后，若用户需要停止运行或卸载引起终端温度升高的APP，则还可以获得用户根据引导信息执行的触发操作，并基于触发操作停止运行或卸载引起终端温度升高的APP。
上述终端实施例，获得终端所处的环境下当前APP运行期间当前器件温度的数值范围，并计算数值范围和终端处于空闲状态时当前器件温度的正常数值范围之差与终端处于空闲状态时当前器件温度的正常数值范围的比值，若比值大于预设阈值，则确定引起终端温度升高的APP为当前APP，由此，可以准确识别出引起终端温度升高的APP，进而在确定引起终端温度升高的APP时，可提示用户对该APP进行处理，以减少该APP对终端的影响。
在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含 于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不必须针对的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外，在不相互矛盾的情况下，本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
此外，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。在本发明的描述中，“多个”的含义是至少两个，例如两个，三个等，除非另有明确具体的限定。
流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为，表示包括一个或更多个用于实现特定逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分，并且本发明的优选实施方式的范围包括另外的实现，其中可以不按所示出或讨论的顺序，包括根据所涉及的功能按基本同时的方式或按相反的顺序，来执行功能，这应被本发明的实施例所属技术领域的技术人员所理解。
在流程图中表示或在此以其他方式描述的逻辑和/或步骤，例如，可以被认为是用于实现逻辑功能的可执行指令的定序列表，可以具体实现在任何计算机可读介质中，以供指令执行系统、装置或设备(如基于计算机的系统、包括处理器的系统或其他可以从指令执行系统、装置或设备取指令并执行指令的系统)使用，或结合这些指令执行系统、装置或设备而使用。就本说明书而言，"计算机可读介质"可以是任何可以包含、存储、通信、传播或传输程序以供指令执行系统、装置或设备或结合这些指令执行系统、装置或设备而使用的装置。计算机可读介质的更具体的示例(非穷尽性列表)包括以下：具有一个或多个布线的电连接部(电子装置)，便携式计算机盘盒(磁装置)，随机存取存储器(RAM)，只读存储器(ROM)，可擦除可编辑只读存储器(EPROM或闪速存储器)，光纤装置，以及便携式光盘只读存储器(CDROM)。另外，计算机可读介质甚至可以是可在其上打印所述程序的纸或其他合适的介质，因为可以例如通过对纸或其他介质进行光学扫描，接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得所述程序，然后将其存储在计算机存储器中。
应当理解，本发明的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中，多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。例如，如果用硬件来实现，和在另一实施方式中一样，可用本领域公知的下列技术中的任一项或他们的组合来实现：具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路，具有合适的组合逻辑门电路的专用集成电路，可编程门阵列(PGA)，现场可编程门阵列(FPGA)等。
本技术领域的普通技术人员可以理解实现上述实施例方法携带的全部或部分步骤是可 以通过程序来指令相关的硬件完成，所述的程序可以存储于一种计算机可读存储介质中，该程序在执行时，包括方法实施例的步骤之一或其组合。
此外，在本发明各个实施例中的各功能单元可以集成在一个处理模块中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。所述集成的模块如果以软件功能模块的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。
上述提到的存储介质可以是只读存储器，磁盘或光盘等。尽管上面已经示出和描述了本发明的实施例，可以理解的是，上述实施例是示例性的，不能理解为对本发明的限制，本领域的普通技术人员在本发明的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (25)

  1. 一种引起终端温度升高的应用程序识别方法，其特征在于，包括：
    在所述终端所处的环境下，获得在当前应用程序APP运行期间所述终端的当前器件温度的数值范围；
    计算所述数值范围和在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围之差与在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围的比值，若所述比值大于预设阈值，则确定引起所述终端温度升高的APP为所述当前APP。
  2. 根据权利要求1所述的方法，其特征在于，在所述计算所述数值范围和在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围之差与在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围的比值之前，还包括：
    确定终端所处的场景；
    在所述场景下，获取所述终端当前器件在预设时间段内的温度信息；以及
    对获取到的温度信息进行处理，获得在所述场景下所述当前器件温度的正常数值范围。
  3. 根据权利要求2所述的方法，其特征在于，所述场景包括所述终端所处的环境和/或状态。
  4. 根据权利要求3所述的方法，其特征在于，所述终端所处的环境包括室内环境和室外环境，所述终端所处的状态包括空闲状态和非空闲状态。
  5. 根据权利要求4所述的方法，其特征在于，所述对获取到的温度值进行处理，获得在所述场景下所述当前器件温度的正常数值范围，包括：
    采用预设算法对获取到的温度值进行处理，所述预设算法包括削峰算法；以及
    在所述环境下，获得在所述终端处于空闲状态或非空闲状态时所述当前器件温度的正常数值范围。
  6. 根据权利要求5所述的方法，其特征在于，在所述获得在所述终端处于空闲状态时所述当前器件温度的正常数值范围之后，还包括：
    根据所述当前器件的负载状态设置第一权重，根据所述第一权重和在所述终端处于空闲状态时所述当前器件温度的正常数值范围，计算出在所述终端处于所述负载状态时所述当前器件温度的正常数值范围。
  7. 根据权利要求2-6任一权利要求所述的方法，其特征在于，所述获取所述终端当前器件在预设时间段内的温度信息，包括：
    按照第一采样周期从终端系统接口中获取所述当前器件在预设时间段内的温度信息。
  8. 根据权利要求6所述的方法，其特征在于，还包括：
    获得在所述当前APP运行期间所述当前器件温度的数值范围和所述当前APP运行时所述当前器件对应的负载状态；
    获得所述终端处于对应的负载状态时所述当前器件温度的正常数值范围；以及
    若所述数值范围未位于所述正常数值范围内，则确定引起所述终端温度升高的APP为所述当前APP。
  9. 根据权利要求1或8所述的方法，其特征在于，所述获得在当前APP运行期间所述当前器件温度的数值范围，包括：
    按照第二采样周期获得在当前APP运行期间所述当前器件的温度信息，采用削峰算法对按照所述第二采样周期获得的温度信息进行处理，获得在当前APP运行期间所述当前器件温度的数值范围。
  10. 根据权利要求9所述的方法，其特征在于，在所述确定引起所述终端温度升高的APP之后，还包括：
    显示引导信息；以及
    获得用户根据所述引导信息执行的触发操作，并基于所述触发操作停止运行或卸载引起所述终端温度升高的APP。
  11. 根据权利要求5所述的方法，其特征在于，在所述获得在所述终端处于空闲状态时所述当前器件温度的正常数值范围之后，还包括：
    获得在每个APP运行期间所述当前器件温度的数值范围；以及
    按照所述数值范围和所述终端处于空闲状态时所述当前器件温度的正常数值范围对所述APP进行排序，并根据排序结果确定引起所述终端温度升高的APP列表。
  12. 根据权利要求11所述的方法，其特征在于，所述获得在每个APP运行期间所述当前器件温度的数值范围，包括：
    获得每个APP对所述当前器件的占用信息，根据所述占用信息为每个APP分配第二权重，根据所述第二权重计算在每个APP运行期间的所述当前器件温度的数值范围。
  13. 一种引起终端温度升高的应用程序识别装置，其特征在于，包括：
    获取模块，用于在所述终端所处的环境下，获得在当前应用程序APP运行期间所述终端的当前器件温度的数值范围；
    第一确定模块，用于计算所述数值范围和在所述环境下所述终端处于空闲状态时所述当 前器件温度的正常数值范围之差与在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围的比值，若所述比值大于预设阈值，则确定引起所述终端温度升高的APP为所述当前APP。
  14. 根据权利要求13所述的装置，其特征在于，还包括：
    第一处理模块，用于在所述第一确定模块计算所述数值范围和在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围之差与在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围的比值之前，确定终端所处的场景；在所述场景下，获取所述终端当前器件在预设时间段内的温度信息；以及对获取到的温度信息进行处理，获得在所述场景下所述当前器件温度的正常数值范围。
  15. 根据权利要求14所述的装置，其特征在于，所述场景包括所述终端所处的环境和/或状态。
  16. 根据权利要求15所述的装置，其特征在于，所述终端所处的环境包括室内环境和室外环境，所述终端所处的状态包括空闲状态和非空闲状态。
  17. 根据权利要求16所述的装置，其特征在于，所述第一处理模块，具体用于：
    采用预设算法对获取到的温度值进行处理，所述预设算法包括削峰算法；以及在所述环境下，获得在所述终端处于空闲状态或非空闲状态时所述当前器件温度的正常数值范围。
  18. 根据权利要求17所述的装置，其特征在于，还包括：
    第二处理模块，用于在所述第一处理模块获得在所述终端处于空闲状态时所述当前器件温度的正常数值范围之后，根据所述当前器件的负载状态设置第一权重，根据所述第一权重和在所述终端处于空闲状态时所述当前器件温度的正常数值范围，计算出在所述终端处于所述负载状态时所述当前器件温度的正常数值范围。
  19. 根据权利要求14-18任一权利要求所述的装置，其特征在于，所述第一处理模块，具体用于：
    按照第一采样周期从终端系统接口中获取所述当前器件在预设时间段内的温度信息。
  20. 根据权利要求18所述的装置，其特征在于，还包括：
    第二确定模块，用于获得在所述当前APP运行期间所述当前器件温度的数值范围和所述当前APP运行时所述当前器件对应的负载状态；获得所述终端处于对应的负载状态时所述当前器件温度的正常数值范围；以及若所述数值范围未位于所述正常数值范围内，则确定引起所述终端温度升高的APP为所述当前APP。
  21. 根据权利要求13或20所述的装置，其特征在于，所述获取模块或者所述第二确定 模块，具体用于：
    按照第二采样周期获得在当前APP运行期间所述当前器件的温度信息，采用削峰算法对按照所述第二采样周期获得的温度信息进行处理，获得在当前APP运行期间所述当前器件温度的数值范围。
  22. 根据权利要求21所述的装置，其特征在于，还包括：
    显示处理模块，用于在所述第一确定模块或者所述第二确定模块确定引起所述终端温度升高的APP之后，显示引导信息；以及获得用户根据所述引导信息执行的触发操作，并基于所述触发操作停止运行或卸载引起所述终端温度升高的APP。
  23. 根据权利要求17所述的装置，其特征在于，还包括：
    第三处理模块，用于在所述第一处理模块获得在所述终端处于空闲状态时所述当前器件温度的正常数值范围之后，获得在每个APP运行期间所述当前器件温度的数值范围；以及
    按照所述数值范围和所述终端处于空闲状态时所述当前器件温度的正常数值范围对所述APP进行排序，并根据排序结果确定引起所述终端温度升高的APP列表。
  24. 根据权利要求23所述的装置，其特征在于，所述第三处理模块，具体用于：
    获得每个APP对所述当前器件的占用信息，根据所述占用信息为每个APP分配第二权重，根据所述第二权重计算在每个APP运行期间的所述当前器件温度的数值范围。
  25. 一种终端，所述终端包括壳体、处理器、存储器、电路板和电源电路，其中，所述电路板安置在所述壳体围成的空间内部，所述处理器和所述存储器设置在所述电路板上；所述电源电路，用于为所述终端的各个电路或器件供电；所述存储器用于存储可执行程序代码；所述处理器通过读取所述存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以用于执行以下步骤：
    在所述终端所处的环境下，获得在当前应用程序APP运行期间所述终端的当前器件温度的数值范围；
    计算所述数值范围和在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围之差与在所述环境下所述终端处于空闲状态时所述当前器件温度的正常数值范围的比值，若所述比值大于预设阈值，则确定引起所述终端温度升高的APP为所述当前APP。
PCT/CN2015/087035 2014-08-14 2015-08-14 引起终端温度升高的应用程序识别方法、装置及终端 WO2016023520A1 (zh)

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