WO2015172725A1 - 一种终端的硬件刷新率的调节方法及装置 - Google Patents

一种终端的硬件刷新率的调节方法及装置 Download PDF

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Publication number
WO2015172725A1
WO2015172725A1 PCT/CN2015/078947 CN2015078947W WO2015172725A1 WO 2015172725 A1 WO2015172725 A1 WO 2015172725A1 CN 2015078947 W CN2015078947 W CN 2015078947W WO 2015172725 A1 WO2015172725 A1 WO 2015172725A1
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Prior art keywords
frame rate
software
information
terminal
time period
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PCT/CN2015/078947
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English (en)
French (fr)
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郑超
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中兴通讯股份有限公司
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Priority to EP15793377.1A priority Critical patent/EP3144773A4/en
Priority to US15/310,976 priority patent/US10339987B2/en
Publication of WO2015172725A1 publication Critical patent/WO2015172725A1/zh

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    • G—PHYSICS
    • G11—INFORMATION STORAGE
    • G11C—STATIC STORES
    • G11C7/00—Arrangements for writing information into, or reading information out from, a digital store
    • G11C7/10—Input/output [I/O] data interface arrangements, e.g. I/O data control circuits, I/O data buffers
    • G11C7/1072—Input/output [I/O] data interface arrangements, e.g. I/O data control circuits, I/O data buffers for memories with random access ports synchronised on clock signal pulse trains, e.g. synchronous memories, self timed memories
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/14—Digital output to display device ; Cooperation and interconnection of the display device with other functional units
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/18—Timing circuits for raster scan displays
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2330/00—Aspects of power supply; Aspects of display protection and defect management
    • G09G2330/02—Details of power systems and of start or stop of display operation
    • G09G2330/021—Power management, e.g. power saving
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2340/00—Aspects of display data processing
    • G09G2340/04—Changes in size, position or resolution of an image
    • G09G2340/0407—Resolution change, inclusive of the use of different resolutions for different screen areas
    • G09G2340/0435—Change or adaptation of the frame rate of the video stream
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
    • G09G3/36—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals
    • G09G3/3611—Control of matrices with row and column drivers
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/12—Synchronisation between the display unit and other units, e.g. other display units, video-disc players
    • 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 display technologies, and in particular, to a method and an apparatus for adjusting a hardware refresh rate of a terminal.
  • the current battery life has become a common shortcoming of smart mobile terminals, and the power consumption of LCD screens occupies the vast majority. If you can reduce the power consumption of the LCD screen, you can greatly improve the endurance and enhance the user experience of the product.
  • the software frame rate is the actual refresh rate of the system, such as the static picture, basically in the 0-1 frame; for large game pictures, the software frame rate can reach 60 frames.
  • the other is the hardware refresh rate. At present, the actual product LCD hardware refresh rate is refreshed at a fixed frequency, such as 60fps. So there is a difference between the two.
  • the embodiment of the invention provides a method and a device for adjusting the hardware refresh rate of the terminal, which can at least automatically adjust the hardware refresh rate to reduce the power consumption of the terminal.
  • an embodiment of the present invention provides a method for adjusting a hardware refresh frequency of a terminal, including the following steps:
  • the hardware refresh frequency of the terminal is adjusted according to the predicted frame rate.
  • the step of predicting a frame rate of the software currently running by the terminal in a preset time period in the future includes:
  • the related information of the software image processor includes : frequency information and load information of the software image processor
  • the acquiring a real-time frame rate of the software, related information of a software image processor in the terminal, and at least one of historical frame rate information when the software is running in the foreground includes: collecting related information of the software image processor in the terminal;
  • the frame rate steps include:
  • the frame rate of the software in a preset preset time period is predicted according to the determination result.
  • the step of predicting a frame rate of the software in a preset time period according to the determination result includes:
  • the frame rate of the software in a preset preset time period is set according to a preset rule.
  • the acquiring at least one of a real-time frame rate of the software, related information of a software image processor in the terminal, and historical frame rate information when the software is running in the foreground includes: collecting a real-time frame rate of the software and related information of a software image processor in the terminal;
  • Predicting a frame rate of the currently running software of the terminal in a preset preset time period according to at least one of a real-time frame rate of the software, related information of the software image processor, and the historical frame rate information The steps include:
  • the step of determining, according to the frequency information and the load information, whether the value of the frame rate needs to be adjusted includes:
  • the step of determining, according to the determination result, whether the value of the frame rate needs to be adjusted includes:
  • the step of adjusting the value of the frame rate includes:
  • the step of determining the type of software to which the software belongs includes:
  • the step of determining, according to the historical frame rate information, the software type to which the software belongs includes determining whether the software belongs to a reading type software, a general type software, or a game type software according to the historical frame rate information.
  • the embodiment of the present invention further provides a device for adjusting a hardware refresh frequency of a terminal, including: a frame rate prediction module and an adjustment module;
  • the frame rate prediction module is configured to predict a frame rate of the software currently running by the terminal in a preset time period in the future;
  • the adjustment module is configured to adjust a hardware refresh frequency of the terminal according to a predicted frame rate.
  • the frame rate prediction module includes: an acquisition module and a frame rate prediction processing module;
  • the acquiring module is configured to collect at least one of a real-time frame rate of the software, related information of a software image processor in the terminal, and historical frame rate information when the software runs in a foreground; the software image
  • the related information of the processor includes: frequency information and load information of the software image processor;
  • the frame rate prediction processing module is configured to predict, according to at least one of a real-time frame rate of the software, related information of the software image processor, and the historical frame rate information, that the software currently running by the terminal is The frame rate in the future preset time period.
  • the collection module is configured to collect related information of a software image processor in the terminal;
  • the frame rate prediction processing module is configured to determine a frame rate scenario in which the software is currently located according to the frequency information and the load information, and predict a frame rate of the software in a preset time period according to the determination result.
  • the frame rate prediction processing module is configured to determine, according to the frequency information and the load information, whether the software is currently in a frame rate smooth scene, a frame rate steep increase scene, or a frame rate steep decrease scene; when the software is in a frame rate smooth scene Obtaining a real-time frame rate of the software, and acquiring a frame rate of the software in a preset preset time period according to the real-time frame rate; when the software is in a steep frame rate reduction scenario, acquiring each software in the terminal in the foreground
  • the historical frame rate information of the runtime determines the software type to which the software belongs according to the historical frame rate information, and obtains a frame rate of the software in a preset preset time period according to the determination result; when the software is in a steep increase scenario
  • the frame rate of the software in a preset time period in the future is set according to a preset rule.
  • the acquisition module is configured to collect a real-time frame rate of the software and related information of a software image processor in the terminal;
  • the frame rate prediction processing module is configured to obtain a value of a frame rate of the software in a preset time according to a real-time frame rate of the software; and determine, according to the frequency information and the load information, whether the frame rate needs to be adjusted. The value, if yes, adjusts the value of the frame rate, and if not, maintains the value of the frame rate unchanged.
  • the frame rate prediction processing module is configured to determine, according to the frequency information and the load information, a frame rate scenario in which the software is currently located; and determine, according to the determination result, whether the value of the frame rate needs to be adjusted.
  • the frame rate prediction processing module is configured to determine, according to the frequency information and the load information, whether the software is currently in a frame rate stable scene, a frame rate steep increase scenario, or a frame rate steep decrease scenario; when determining that the software is currently in the When the frame rate is stable, it is determined that it is not necessary to adjust the value of the frame rate; when it is determined that the software is in the frame rate steep increase scene or the frame rate sharp decrease scene, it is determined that the value of the frame rate needs to be adjusted.
  • the frame rate prediction processing module is configured to determine a software type to which the software belongs when determining that the software is in a frame rate steep reduction scenario, and reacquire a frame rate of the software in a preset time period according to the determination result. value.
  • the frame rate prediction processing module is configured to acquire historical frame rate information when each software in the terminal runs in the foreground, and determine a software type to which the software belongs according to the historical frame rate information.
  • the process of determining, by the frame rate prediction processing module, the software type to which the software belongs according to the historical frame rate information includes: determining, according to the historical frame rate information, whether the software belongs to a reading type software, a general type software, or a game type.
  • the embodiment of the invention provides a method and a device for adjusting the hardware refresh rate of the terminal, which can automatically adjust the hardware refresh rate to reduce the power consumption of the terminal.
  • the adjustment method of the embodiment of the present invention includes: predicting a frame rate of the software currently running by the terminal in a preset preset time period; and adjusting a hardware refresh frequency of the terminal according to the predicted frame rate;
  • the method dynamically adjusts the hardware refresh rate of the terminal according to the future frame rate of the software, so that the frame rate and the hardware refresh rate of the software can be dynamically adapted, and the power consumption of the terminal screen is optimized to optimize the power consumption of the terminal;
  • the method of the embodiment of the invention saves the power consumption of the terminal and improves the endurance capability of the terminal, thereby improving the user experience.
  • FIG. 1 is a schematic flowchart of a method for adjusting a hardware refresh frequency of a terminal according to Embodiment 1 of the present invention
  • FIG. 2 is a schematic flowchart of a frame rate of a prediction software in a preset time period according to Embodiment 1 of the present invention
  • FIG. 3 is a schematic flowchart of a method for adjusting a hardware refresh frequency of a terminal according to Embodiment 2 of the present invention
  • FIG. 4 is a schematic flowchart of a frame rate of a prediction software in a preset time period according to Embodiment 2 of the present invention.
  • FIG. 5 is a schematic structural diagram of a device for adjusting a hardware refresh rate of a terminal according to Embodiment 2 of the present invention.
  • FIG. 6 is a schematic structural diagram of a device for adjusting a hardware refresh rate of a terminal according to Embodiment 3 of the present invention.
  • FIG. 7 is a schematic structural diagram of another apparatus for adjusting a hardware refresh rate of a terminal according to Embodiment 3 of the present invention.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • this embodiment provides a method for adjusting a hardware refresh rate of a terminal, including:
  • Step 101 Predict the frame rate of the software currently running by the terminal in a preset time period in the future.
  • the preset time period in this embodiment can be set according to actual needs. For example, in the next 10 seconds.
  • Step 102 Adjust a hardware refresh frequency of the terminal according to the predicted frame rate.
  • the method of this embodiment can dynamically adapt the software frame rate and the hardware refresh rate to achieve the purpose of optimizing the power consumption of the terminal display, thereby reducing the power consumption of the entire terminal.
  • the method of the embodiment needs to predict the software frame rate in a later period of time according to various collected information, and can also set the frame rate of the software in the time period according to the empirical value. .
  • the method of this embodiment can collect various information, and predict the frame rate of the software in a preset time period according to the information.
  • the above step 101 may include:
  • the related information of the software image processor includes : frequency information and load information of the software image processor
  • the real-time frame rate acquisition of the software is relatively simple: when the image has any refresh, the count is incremented by one; the number of image changes in one second is counted, and the software real-time frame rate information can be obtained.
  • the step 101 of this embodiment may include: collecting a real-time frame rate of the software, and predicting a frame rate of the software currently running by the terminal in a preset preset time period according to the real-time frame rate of the software.
  • a preset number of typical frame rates may be set, the real-time frame rate of the collected software is compared with a preset frame rate, and the frame rate of the software in the future time period is set according to the comparison result.
  • the preset frame rate in this embodiment may be a typical value of the hardware refresh rate.
  • the typical values of the hardware refresh rate are: F1, F2, and F3, where F1 ⁇ F2 ⁇ F3; the real-time frame rate of the software is collected. After Fs, compare it with F1, F2, and F3:
  • the method for obtaining the future frame rate of the software according to the real-time frame rate of the software is not limited to the above-mentioned introduction method, and may also perform a series of calculations on the real-time frame rate of the software to obtain a frame of the software in a future time period. Rate value.
  • a separate image processor such as a CPU
  • the frequency of the GPU will increase, and the load of the GPU will increase; and this change of the GPU is very real-time and fast. Therefore, the frequency and load of the CPU are related to the frame rate of the software. We can predict the frame rate of the software in the future preset time period based on the information of the image processor.
  • the step 101 in this embodiment may include: collecting frequency information and load information of the software image processor in the terminal, and predicting, according to the frequency information and the load information, the software currently running by the terminal in a preset time period in the future. Frame rate.
  • the process of predicting the frame rate of the currently running software of the terminal in the preset preset time period according to the frequency information and the load information in the embodiment may include:
  • the frame rate of the software in a preset preset time period is predicted according to the determination result.
  • the method can determine the frame rate scenario of the currently running software according to the frequency and load of the CPU, and then set the frame rate of the software in the future preset time period according to the frame rate scenario in which the CPU is located.
  • the method in this embodiment presets three frame rate scenarios, including: a frame rate stable scene, a frame rate steep increase scene, and a frame rate steep reduction scene. Therefore, the process of determining, according to the frequency information and the load information, the frame rate scenario that the software is currently in the embodiment, may include: determining, according to the frequency information and the load information, that the software is currently in a frame rate stable scene, and the frame rate is steep. Increasing the scene is also a scene with a steep frame rate reduction.
  • the specific decision process refers to the following:
  • the GPUFreq (CUP frequency) and GPULoad (load) information of the CPU within 10 seconds can be collected, and the average information within 10 seconds can be calculated.
  • the calculation method is as follows:
  • Load_average sum(GPULoad(1), GPULoad(10))/10
  • GPUFreq-Freq_average>100Mhz and GPULoad-Load_average>20 the scenario is considered to be a scene in which the software real-time frame rate is sharply increased
  • GPUFreq-Freq_average ⁇ -100Mhz and GPULoad-Load_average ⁇ -20 the scenario is considered to be a scene where the software real-time frame rate drops sharply.
  • the scene other than the above two scenes is a frame rate smooth scene.
  • the process of predicting the frame rate of the software in a preset time period according to the determination result may include The following situations:
  • the real-time frame rate of the software is obtained, and the frame rate of the software in a preset preset time period is obtained according to the real-time frame rate. Or you can directly set the preset frame rate to the frequency within the software's future preset time period.
  • the frame rate value of the software in the future time period may be set according to the software type required by the current software. Or you can directly set the preset frame rate to the frequency within the software's future preset time period.
  • the historical frame rate information of each software in the terminal running in the foreground may be first recorded, and then the software type to which the software belongs is determined according to the historical frame rate information; of course, the type of the software may be determined by other means, for example, according to the software. Name to determine.
  • the process of determining the software type according to the historical frame rate information may refer to the following process:
  • Collect and record the frame rate of each application running in the foreground for example, collect and record 500 real-time frame rates for each application; then count the frame rate range of each application running in the foreground, and count each application The number of times the program has been acquired within each frame rate range. As shown in the following table:
  • App Name 0-15 frames 15-40 frames 40-60 frames App1 50 50 400 App2 400 100 0 App3 100 350 50
  • the frame rate is in the range of 40-60 frames with a statistical value of S>350, which is considered to be a gameplay application.
  • Such as App1 its long-term high frame rate of 40-60 frames;
  • the statistical value of the frame rate in the range of 0-15 frames is S>350, which is considered to be a reading type application.
  • App2 has a historical frame rate of at most 15 frames, marking the application as a reading application;
  • the default mark is a normal type application; that is, no acquisition is completed 500 times.
  • the type of software that the terminal is currently running in the foreground can be determined.
  • the frame rate of the software in the future time may be set according to the judgment result. For example, three frame rates F1, F2, and F3 may be preset, where F1 ⁇ F2 ⁇ F3; For normal software, set the frame rate Fh of the software to F2 in the future time; when the software is game-type software, it indicates that the frame rate of the software in the current application scenario will continue to be high, and the software will be in the future time.
  • the frame rate Fh is set to F3 (maximum frame rate value); when the software is reading software, it indicates that the frame rate of the software in the current application scenario will continue to be relatively low, then Fh is set to F1.
  • the frame rate of the software in a preset preset time period is set according to a preset rule.
  • the frame rate Fh in the future time period is set to a high frame rate.
  • the frame rate Fh can be set to F3.
  • the embodiment method can use the real-time frame rate to combine the relevant information of the processor to predict the frame rate of the software in the future time period; as shown in FIG. 2, specifically, the method in this embodiment may include:
  • Step 201 Collect a real-time frame rate of the software and frequency information and load information of the software image processor in the terminal;
  • Step 202 Obtain a value of a frame rate of the software in a preset time according to a real-time frame rate of the software.
  • This step uses the real-time frame rate to obtain the value of the frame rate of the software in the future preset time.
  • the Fh of the software For example, set the Fh of the software to F1 in the future preset time period.
  • Step 203 Determine, according to the frequency information and the load information, whether the value of the frame rate needs to be adjusted. If yes, execute step 204. If no, execute step 205.
  • the determining, according to the frequency information and the load information, whether the value of the frame rate needs to be adjusted may include: determining, according to the frequency information and the load information, a frame rate scenario in which the software is currently located; It is judged based on the determination result whether the value of the frame rate needs to be adjusted.
  • the three frame rate scenarios may include: a frame rate smooth scene, a frame rate steep increase scene, and a frame rate steep drop scene.
  • the software When it is determined that the software is in a frame rate steep increase scenario or a frame rate sharp drop scenario, it indicates that the frame rate value of the software acquired according to the real-time frame rate in the future time period is not suitable for the current scene, so adjustment is needed, and the adjustment is performed.
  • the frame rate value is used as the final frame rate value of the software in the future time period.
  • Step 204 Adjust the value of the frame rate.
  • the value of the frame rate of the software in the preset time period may be reset, for example, Fh is set to F3, that is, set to the highest frame rate.
  • the process of adjusting the frame rate value of the software in the future preset time period may include: determining a software type to which the software belongs, and re-acquiring the software according to the determination result, when determining that the software is in a frame rate steep reduction scenario Set the value of the frame rate over the time period.
  • the process of determining the software type to which the software belongs may include: acquiring historical frame rate information when each software in the terminal runs in the foreground, and determining, according to the historical frame rate information, a software type to which the software belongs.
  • how to determine the software type of the software and how to adjust the frame rate value of the software in the future time period can refer to the introduction of the third prediction mode described above.
  • whether the software belongs to the reading type software, the general type software, or the game type software may be determined according to the historical frame rate information; and then the frame rate value of the software in the future time period is adjusted according to the software type to which the software belongs. For example, when it is determined that the software is a normal type software, Fh is set to F2; when the software is a reading type software, Fh is set to F1, and when the software is game type software, Fh is set to F1.
  • Step 205 Maintain the value of the frame rate unchanged.
  • the frame rate value of the software to be acquired by the real-time frame rate in the future time period is taken as the final frame rate value.
  • the above describes the specific content of the prediction mode 1-4, and uses a single acquisition information or two kinds of acquisition information to predict the frame rate value of the software in the preset time period in the future.
  • the manner in which the three types of acquisition information and the other two types of acquisition information are used to predict the frame rate value of the software in a preset time period in the future is similar to the above manner, or a combination of the foregoing prediction modes 1-3.
  • the method in this embodiment can automatically adjust the hardware refresh rate of the terminal, thereby achieving the purpose of optimizing the power consumption of the terminal.
  • Embodiment 2 is a diagrammatic representation of Embodiment 1:
  • This embodiment uses the Qualcomm platform as an example to introduce the method of the present invention. As shown in FIG. 3, the method includes the following steps:
  • Step 301 Collect a real-time frame rate of the software and frequency information and load information of the software image processor in the terminal.
  • this embodiment provides a framework diagram of a device for adjusting a hardware refresh rate of a terminal, including: a software real-time frame rate acquisition module, a CPU information collection module, a system frame rate learning module, a frame rate prediction module, and LCD refresh rate setting module.
  • the process of collecting the real-time frame rate may include: every time an image is updated, it is sent to the underlying driver for processing, and a special counter is added to record the image update change.
  • the interfaces used on Qualcomm's android platform are as follows:
  • the acquisition module reads this counter value every 1 second, which is recorded as f(t).
  • the GPU information collection module stores the GPUFreq and GPULoad information within 10 seconds, and calculates the average information within 10 seconds.
  • Step 302 Obtain a value of a frame rate of the software in a preset time according to a real-time frame rate of the software.
  • the software real-time frame rate acquisition module After the software real-time frame rate acquisition module obtains Fs, it determines the difference between the current Fs and F1, F2, and F3.
  • Step 303 Determine, according to the frequency information and the load information, whether the software is currently in a frame rate smooth scene, a frame rate steep increase scene, or a frame rate steep decrease scene.
  • the average information in 10 seconds is calculated, and the calculation method is as follows:
  • Load_average sum(GPULoad(1), GPULoad(10))/10
  • the scene other than the above two scenes is a frame rate smooth scene.
  • Step 304 When it is determined that the software is currently in the frame rate smoothing scenario, the value of the frame rate is maintained unchanged.
  • Step 305 Adjust the value of the frame rate when it is determined that the software is in the frame rate steep increase scenario.
  • Step 306 When it is determined that the software is in a frame rate frame rate steep reduction scenario, determine a software type to which the software belongs, and reacquire a value of a frame rate of the software in a preset time period according to the determination result.
  • a system frame rate learning module may be set to collect historical frame rate information of each application when running in the foreground; a historical software frame rate database in the frame rate learning system, and the current foreground application is a game application or a reading application. Still a normal application.
  • the real-time frame rate acquisition part of the software sends the collected real-time frame rate of the software to the system frame rate learning module.
  • the system stores the software real-time frame rate Fs when each application runs in the foreground. When the frame rate information acquisition times are more than 500 times, the historical data collection is considered complete. Based on these historical frame rate information, the frame rate range of each application running in the foreground is counted. As shown in the following table:
  • App Name 0-15 frames 15-40 frames 40-60 frames App1 50 50 400 App2 400 100 0 App3 100 350 50
  • the system evaluates which types of applications the current foreground application belongs to.
  • the frame rate is in the range of 40-60 frames with a statistical value of S>350, which is considered to be a gameplay application.
  • Such as App1 its long-term high frame rate of 40-60 frames;
  • the statistical value of the frame rate in the range of 0-15 frames is S>350, which is considered to be a reading type application.
  • App2 has a historical frame rate of at most 15 frames, and the system marks the application as a reading application;
  • Step 307 setting an LCD hardware refresh rate according to the frame rate predicted value Fh of the software obtained in the future time period.
  • Step 401 Collect the current real-time frame rate Fs of the software.
  • Step 402 Determine whether Fs is less than F1. If yes, go to step 403. If no, go to step 404.
  • Step 403 Set Fh to F1, and go to step 407.
  • Step 404 Determine whether Fs is less than F2, and if so, go to step 405, if no, go to step 406;
  • Step 405 Set Fh to F2, and go to step 407.
  • Step 406 Set Fh to F3.
  • Steps 402 to 406 in this embodiment refer to the specific description of step 302 above.
  • Step 407 Determine, according to the collected CPU information, whether the scene where the current software is located is a frame rate steep increase scenario. If yes, go to step 408. If no, go to step 409.
  • Step 408 Force Fx to be the maximum frame rate F3.
  • Step 409 Determine whether the scene where the current software is located is a frame rate steep reduction scenario according to the collected CPU information. If yes, execute step 410. If no, execute step 411.
  • Step 410 Determine, according to the historical frame rate information of the software, what type the current software belongs to, and adjust Fh to Fh'.
  • Step 411 Determine that the current software is in a frame rate smoothing scenario, and maintain the current Fh value unchanged.
  • Embodiment 3 is a diagrammatic representation of Embodiment 3
  • the embodiment provides a device for adjusting a hardware refresh frequency of a terminal, including: a frame rate prediction module and an adjustment module;
  • the frame rate prediction module is configured to predict a frame rate of the software currently running by the terminal in a preset time period in the future;
  • the adjustment module is configured to adjust a hardware refresh frequency of the terminal according to a predicted frame rate.
  • the device in this embodiment can dynamically adapt the software frame rate and the hardware refresh rate to optimize the power consumption of the terminal display, thereby reducing the power consumption of the entire terminal.
  • the frame rate prediction module in this embodiment includes: an acquisition module and a frame rate prediction processing module;
  • the acquiring module is configured to collect at least one of a real-time frame rate of the software, related information of a software image processor in the terminal, and historical frame rate information when the software runs in a foreground; the software image
  • the related information of the processor includes: frequency information and load information of the software image processor;
  • the frame rate prediction processing module is configured to predict, according to at least one of a real-time frame rate of the software, related information of the software image processor, and the historical frame rate information, that the software currently running by the terminal is The frame rate in the future preset time period.
  • the collecting module is configured to collect related information of a software image processor in the terminal;
  • the frame rate prediction processing module is configured to determine a frame rate scenario in which the software is currently located according to the frequency information and the load information, and predict a frame rate of the software in a preset time period according to the determination result.
  • the frame rate prediction processing module is configured to determine, according to the frequency information and the load information, whether the software is currently in a frame rate smooth scene, a frame rate steep increase scene, or a frame rate steep decrease scene; when the software is at a frame rate Obtaining a real-time frame rate of the software, obtaining a frame rate of the software in a preset preset time period according to the real-time frame rate, and acquiring each of the terminals when the software is in a steep frame rate reduction scenario
  • the acquiring module is configured to collect a real-time frame rate of the software and related information of a software image processor in the terminal;
  • the frame rate prediction processing module is configured to obtain a value of a frame rate of the software in a preset time according to a real-time frame rate of the software; and determine, according to the frequency information and the load information, whether the frame rate needs to be adjusted. The value, if yes, adjusts the value of the frame rate, and if not, maintains the value of the frame rate unchanged.
  • the frame rate prediction processing module is configured to determine, according to the frequency information and the load information, a frame rate scenario in which the software is currently located; and determine, according to the determination result, whether the value of the frame rate needs to be adjusted.
  • the frame rate prediction processing module is configured to determine, according to the frequency information and the load information, whether the software is currently in a frame rate smooth scene, a frame rate steep increase scenario, or a frame rate steep decrease scenario; when determining the software When it is currently in the frame rate smoothing scenario, it is determined that the value of the frame rate does not need to be adjusted; when it is determined that the software is in the frame rate steep increase scenario or the frame rate steep drop scenario, it is determined that the frame rate needs to be adjusted. value.
  • the frame rate prediction processing module is configured to determine a software type to which the software belongs when determining that the software is in a frame rate steep reduction scenario, and re-acquire the software within a preset time period according to the determination result. The value of the frame rate.
  • the frame rate prediction processing module is configured to acquire historical frame rate information when each software in the terminal runs in the foreground, and determine a software type to which the software belongs according to the historical frame rate information.
  • the process of determining, by the frame rate prediction processing module, the software type to which the software belongs according to the historical frame rate information comprises: determining, according to the historical frame rate information, whether the software belongs to a reading type software, a general type software, or Game software.
  • the method and apparatus for adjusting the hardware refresh rate of the terminal have the following beneficial effects: the hardware refresh rate can be automatically adjusted to reduce the power consumption of the terminal, and the method according to the embodiment of the present invention is based on the future of the software.
  • the frame rate dynamically adjusts the hardware refresh rate of the terminal, so that the frame rate and the hardware refresh rate of the software can be dynamically adapted, and the power consumption of the terminal screen is optimized to achieve the effect of optimizing the power consumption of the terminal; compared with the prior art, the present invention
  • the method of the embodiment saves the power consumption of the terminal and improves the endurance capability of the terminal, thereby improving the user experience.

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Abstract

一种终端的硬件刷新率的调节方法及装置。所述调节方法包括：预测所述终端当前运行的软件在未来预设时间段内的帧率；根据预测的帧率调节所述终端的硬件刷新频率；所述调节方法能够自动调节硬件刷新率从而降低终端的功耗。

Description

一种终端的硬件刷新率的调节方法及装置 技术领域
本发明涉及终端显示技术领域，尤其涉及一种终端的硬件刷新率的调节方法及装置。
背景技术
目前续航时间成为智能移动终端的常见短板，而其中LCD屏幕的功耗占据了绝大部分。如果能降低lcd屏幕的功耗，能大大提升续航能力，提升产品的用户体验。对于显示方面，有两个层面的刷新率。一个是软件帧率：该帧率为系统实际的刷新频率，比如静置画面，基本在0-1帧；对于大型游戏画面，软件帧率能达到60帧。另一个是硬件刷新率，目前实际产品LCD硬件刷新率都是以一个固定频率在刷新，比如60fps。这样两者之间就存在一个差值，实际上如果软件帧率比较低而硬件刷新率比较高的时候，用户感受到的帧率仍然是软件帧率，相当于硬件做了很多次无谓的刷新，提高了LCD屏幕的功耗进而提高了终端的功耗。而且从实验发现，当lcd硬件刷新率降低的情况下，功耗是能改善的。
发明内容
本发明实施例提供了一种终端的硬件刷新率的调节方法及装置，至少能够自动调节硬件刷新率从而降低终端的功耗。
为至少解决上述技术问题，本发明实施例提供了一种终端的硬件刷新频率的调节方法，包括如下步骤：
预测所述终端当前运行的软件在未来预设时间段内的帧率；
根据预测的帧率调节所述终端的硬件刷新频率。
所述预测所述终端当前运行的软件在未来预设时间段内的帧率的步骤包括：
采集所述软件的实时帧率、所述终端中软件图像处理器的相关信息以及所述软件在前台运行时的历史帧率信息中的至少一种信息；所述软件图像处理器的相关信息包括：所述软件图像处理器的频率信息和负载信息；
根据所述软件的实时帧率、所述软件图像处理器的相关信息、以及所述历史帧率信息中的至少一种信息预测所述终端当前运行的软件在未来预设时间段内的帧率。
在本发明一个实施例中，所述采集所述软件的实时帧率、所述终端中软件图像处理器的相关信息以及所述软件在前台运行时的历史帧率信息中的至少一种信息的步骤包括：采集所述终端中软件图像处理器的相关信息；
所述根据所述软件的实时帧率、所述软件图像处理器的相关信息、以及所述历史帧率信息中的至少一种信息预测所述终端当前运行的软件在未来预设时间段内的帧率的步骤包括：
根据所述频率信息和负载信息判定所述软件当前处于的帧率场景；
根据判定结果预测所述软件在未来预设时间段内的帧率。
所述根据所述频率信息和负载信息判定所述软件当前处于的帧率场景的步骤包括：
根据所述频率信息和负载信息判定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景；
所述根据判定结果预测所述软件在未来预设时间段内的帧率的步骤包括：
当所述软件处于帧率平稳场景时，获取所述软件的实时帧率，根据所述实时帧率获取所述软件在未来预设时间段内的帧率；
当所述软件处于陡减帧率场景时，获取终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型，根据确定结果获取所述软件在未来预设时间段内的帧率；
当所述软件处于陡增场景时，根据预设规则设置所述软件在未来预设时间段内的帧率。
在本发明的另一实施例中，所述采集所述软件的实时帧率、所述终端中软件图像处理器的相关信息以及所述软件在前台运行时的历史帧率信息中的至少一种信息的步骤包括：采集所述软件的实时帧率和所述终端中软件图像处理器的相关信息；
根据所述软件的实时帧率、所述软件图像处理器的相关信息、以及所述历史帧率信息中的至少一种信息预测所述终端当前运行的软件在未来预设时间段内的帧率的步骤包括：
根据所述软件的实时帧率得到所述软件在未来预设时间内的帧率的值；
根据所述频率信息和负载信息判断是否需要调整所述帧率的值,若是,则对所述帧率的值进行调整,若否,则维持所述帧率的值不变。
所述根据所述频率信息和负载信息判断是否需要调整所述帧率的值的步骤包括：
根据所述频率信息和所述负载信息确定所述软件当前所处的帧率场景；
根据确定结果判断是否需要调整所述帧率的值。
所述根据所述频率信息和所述负载信息确定所述软件当前所处的帧率场景的步骤包括：根据所述频率信息和所述负载信息确定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景；
所述根据确定结果判断是否需要调整所述帧率的值的步骤包括:
当判断所述软件当前处于所述帧率平稳场景时，判定不需要调整所述帧率的值；
当判断所述软件处于所述帧率陡增场景或者帧率陡减场景时，判定需要调整所述帧率的值。
当确定所述软件处于帧率陡减场景时，所述对所述帧率的值进行调整的步骤包括：
确定所述软件所属的软件类型，根据该确定结果重新获取所述软件在预设时间段内的帧率的值。
所述确定所述软件所属的软件类型的步骤包括：
获取所述终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型。
上述根据所述历史帧率信息确定所述软件所属的软件类型的步骤包括：根据所述历史帧率信息确定所述软件属于阅读型软件、普通型软件还是游戏型软件。
同样为了至少解决上述的技术问题，本发明实施例还提供了一种终端的硬件刷新频率的调节装置，包括：帧率预测模块和调节模块；
所述帧率预测模块设置为预测所述终端当前运行的软件在未来预设时间段内的帧率；
所述调节模块设置为根据预测的帧率调节所述终端的硬件刷新频率。
所述帧率预测模块包括：采集模块和帧率预测处理模块；
所述采集模块设置为采集所述软件的实时帧率、所述终端中软件图像处理器的相关信息以及所述软件在前台运行时的历史帧率信息中的至少一种信息；所述软件图像处理器的相关信息包括：所述软件图像处理器的频率信息和负载信息；
所述帧率预测处理模块设置为根据所述软件的实时帧率、所述软件图像处理器的相关信息、以及所述历史帧率信息中的至少一种信息预测所述终端当前运行的软件在未来预设时间段内的帧率。
在本发明的一个实施例中所述采集模块设置为采集所述终端中软件图像处理器的相关信息；
所述帧率预测处理模块设置为根据所述频率信息和负载信息判定所述软件当前处于的帧率场景，根据判定结果预测所述软件在未来预设时间段内的帧率。
所述帧率预测处理模块设置为根据所述频率信息和负载信息判定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景；当所述软件处于帧率平稳场景时，获取所述软件的实时帧率，根据所述实时帧率获取所述软件在未来预设时间段内的帧率；当所述软件处于陡减帧率场景时，获取终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型，根据确定结果获取所述软件在未来预设时间段内的帧率；当所述软件处于陡增场景时，根据预设规则设置所述软件在未来预设时间段内的帧率。
在本发明另一个实施例中所述采集模块设置为采集所述软件的实时帧率和所述终端中软件图像处理器的相关信息；
所述帧率预测处理模块设置为根据所述软件的实时帧率得到所述软件在未来预设时间内的帧率的值；根据所述频率信息和负载信息判断是否需要调整所述帧率的值,若是，则对所述帧率的值进行调整,若否,则维持所述帧率的值不变。
所述帧率预测处理模块设置为根据所述频率信息和所述负载信息确定所述软件当前所处的帧率场景；根据确定结果判断是否需要调整所述帧率的值。
所述帧率预测处理模块设置为根据所述频率信息和所述负载信息确定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景；当判断所述软件当前处于所述帧率平稳场景时，判定不需要调整所述帧率的值；当判断所述软件处于所述帧率陡增场景或者帧率陡减场景时，判定需要调整所述帧率的值。
所述帧率预测处理模块设置为当确定所述软件处于帧率陡减场景时，确定所述软件所属的软件类型，根据该确定结果重新获取所述软件在预设时间段内的帧率的值。
所述帧率预测处理模块设置为获取所述终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型。
所述帧率预测处理模块设置为根据所述历史帧率信息确定所述软件所属的软件类型的过程包括：根据所述历史帧率信息确定所述软件属于阅读型软件、普通型软件还是游戏型软件
本发明实施例的有益效果是：
本发明实施例提供了一种终端的硬件刷新率的调节方法及装置，能够自动调节硬件刷新率从而降低终端的功耗。具体地，本发明实施例的调节方法包括：预测所述终端当前运行的软件在未来预设时间段内的帧率；根据预测的帧率调节所述终端的硬件刷新频率；本发明实施例的方法依据软件未来的帧率来动态调节终端的硬件刷新率，使得软件的帧率和硬件刷新率可以动态适配，优化了终端屏幕的功耗从而达到优化终端功耗的效果；与现有相比，本发明实施例的方法节省了终端的功耗，提高了终端的续航能力，从而提升了用户的体验。
附图说明
图1为本发明实施例一提供的一种终端的硬件刷新频率的调节方法的流程示意图；
图2为本发明实施例一提供的一种预测软件在未来预设时间内的帧率的流程示意图；
图3为本发明实施例二提供的一种终端的硬件刷新频率的调节方法的流程示意图；
图4为本发明实施例二提供的一种预测软件在未来预设时间内的帧率的流程示意图；
图5为本发明实施例二提供的一种终端的硬件刷新率的调节装置的结构示意图；
图6为本发明实施例三提供的一种终端的硬件刷新率的调节装置的结构示意图；
图7为本发明实施例三提供的另一种终端的硬件刷新率的调节装置的结构示意图。
具体实施方式
下面通过具体实施方式结合附图对本发明作进一步详细说明。
实施例一：
如图1所示，本实施例提供了一种终端的硬件刷新率的调节方法，包括：
步骤101：预测所述终端当前运行的软件在未来预设时间段内的帧率。
本实施例中预设时间段可以根据实际需求进行设定。例如未来10秒内等。
步骤102：根据预测的帧率调节所述终端的硬件刷新频率。
本实施例的方法可以动态适配软件帧率和硬件刷新率，达到优化终端显示屏功耗的目的，从而降低了整个终端的功耗。
本实施例方法要想达到硬件刷新率适配软件的帧率，需要根据各种采集的信息，预测后面一段时间内的软件帧率，也可以根据经验值来设置软件在时间段内的帧率。
本实施例方法可以采集各种信息，依据这些信息来预测软件在未来预设时间段内的帧率。优选地，上述步骤101可以包括：
采集所述软件的实时帧率、所述终端中软件图像处理器的相关信息以及所述软件在前台运行时的历史帧率信息中的至少一种信息；所述软件图像处理器的相关信息包括：所述软件图像处理器的频率信息和负载信息；
根据所述软件的实时帧率、所述软件图像处理器的相关信息、以及所述历史帧率信息中的至少一种信息预测所述终端当前运行的软件在未来预设时间段内的帧率
下面介绍本实施例方法利用信息预测软件在未来预设时间段内的帧率的几种预测方式：
1、软件的实时帧率；
软件的实时帧率获取比较简单：当图像有任何刷新，计数加1；统计1秒内的图像变化次数，就能得到软件实时帧率信息。我们可以把软件实时帧率作为预测未来软件帧率的一个依据。
因此，本实施例步骤101可以包括：采集所述软件的实时帧率，根据所述软件的实时帧率预测所述终端当前运行的软件在未来预设时间段内的帧率。
在本实施例中可以设置预设几个典型的帧率，将采集的软件的实时帧率与预设的帧率进行比较，根据比较结果来设定软件在未来时间段内的帧率。
优选地，本实施例预设的帧率可以为硬件刷新率的典型值，例如硬件刷新率的典型值为：F1、F2、F3，其中F1<F2<F3；在采集到软件的实时帧率Fs后，将其与F1、F2、F3进行比较：
若Fs<F1(15)时，则设定软件在未来时间段内的帧率预测值Fh＝F1；
若F1(15)<Fs<F2(40)时，则设定软件在未来时间段内的帧率预测值Fh＝F2；
若Fs>F2(40)时，则设定软件在未来时间段内的帧率预测值Fh＝F3。
应当理解的是：本实施例方法根据软件的实时帧率获取软件未来的帧率不仅限于上述介绍方法，还可以为对软件的实时帧率进行一系列的计算得到软件在未来时间段内的帧率值。
2、图像处理器的信息；
对于带有显示模块的移动终端来说，一般都会有独立的图像处理器(例如CPU)用来处理一些关于lcd软件绘图的一些算法。当lcd软件图像变化明显时，显然GPU的频率会升高，GPU处理的负荷会加大；而且GPU的这个变化是非常实时和快速的。所以CPU的频率和负载是软件的帧率是相关联的，我们可以依据这个图像处理器的相关信息来预测软件在未来预设时间段内的帧率。
因此本实施例中步骤101可以包括：采集所述终端中软件图像处理器的频率信息和负载信息，根据所述频率信息和负载信息预测所述终端当前运行的软件在未来预设时间段内的帧率。
具体地，本实施例中根据所述频率信息和负载信息预测所述终端当前运行的软件在未来预设时间段内的帧率的过程可以包括：
根据所述频率信息和负载信息判定所述软件当前处于的帧率场景；
根据判定结果预测所述软件在未来预设时间段内的帧率。
本实施例方法可以依据CPU的频率和负载来判断当前运行软件处于什么样的帧率场景，然后根据CPU所处的帧率场景来设定软件在未来预设时间段的帧率。
优选地，本实施例方法预设三种帧率场景，包括：帧率平稳场景、帧率陡增场景、帧率陡减场景。所以实施例方法中根据所述频率信息和负载信息判定所述软件当前处于的帧率场景的过程可以包括：根据所述频率信息和负载信息判定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景。具体的判定过程参考如下内容：
例如可以采集CPU10秒内的GPUFreq(CUP频率)和GPULoad(负载)信息，计算出10秒内的平均信息，计算方法如下：
Freq_average＝sum(GPUFreq(1),GPUFreq(10))/10
Load_average＝sum(GPULoad(1),GPULoad(10))/10
将当前的GPUFreq和GPULoad，对比前10秒的GPU信息。
若GPUFreq-Freq_average>100Mhz，且GPULoad-Load_average>20，则认为该场景是个软件实时帧率陡增的场景；
若GPUFreq-Freq_average<-100Mhz，且GPULoad-Load_average<-20，则认为该场景是个软件实时帧率陡降的场景。
除上面两个场景之外的场景为帧率平稳场景。
在判定软件当前所处的帧率场景之后，可以根据不同场景设定不同软件未来帧率值，优选地，上述根据判定结果预测所述软件在未来预设时间段内的帧率的过程可以包括以下几种情况：
当所述软件处于帧率平稳场景时，获取所述软件的实时帧率，根据所述实时帧率获取所述软件在未来预设时间段内的帧率。或者可以直接将预设的帧率设置为软件未来预设时间段内的频率。
具体获取过程可以参考上述根据所述实时帧率获取所述软件在未来预设时间段内的帧率的介绍。
当所述软件处于帧率陡减场景时，获取终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型，根据确定结果获取所述软件在未来预设时间段内的帧率。或者可以直接将预设的帧率设置为软件未来预设时间段内的频率
在本实施例中当软件当前处于帧率陡减场景时，可以依据当前软件所需的软件类型来设置软件在未来时间段被的帧率值。或者可以直接将预设的帧率设置为软件未来预设时间段内的频率。在本实施例中可以首先记录终端中各个软件在前台运行时的历史帧率信息，然后根据历史帧率信息确定软件所属的软件类型；当然也可以通过其他方式来确定软件的类型，例如根据软件名称来确定。
本实施例中依据历史帧率信息来确定软件类型的过程可以参考下面的过程：
采集并记录各个应用程序在前台运行时的帧率，例如对于每个应用程序采集500次的实时帧率并记录下；然后统计各个应用程序在前台运行时的帧率范围，并且统计每个应用程序在各个帧率范围内的采集到次数。如下表所示：
表1
App Name 0-15帧 15-40帧 40-60帧
App1 50 50 400
App2 400 100 0
App3 100 350 50
最后根据此表可以判断出当前前台运行的应用程序(即软件)属于哪个类型；
(1)帧率处于40-60帧范围的统计值S>350，认为是游戏性应用。如App1，其长期处于40-60帧的高帧率下；
(2)帧率处于0-15帧范围的统计值S>350，认为是阅读型应用。如App2，其历史帧率大部分处于15帧以下，标记该应用为阅读型应用；
(3)帧率不满足上面两种条件时，标记为普通型应用；
(4)在预定的采集次数没有达到时，默认标记为普通型应用；也就是没有采集满500次。
通过上述的过程可以判断出终端当前在前台运行的软件的类型。
在判断出软件所属的软件类型之后，可以根据该判断结果来设置软件在未来时间内的帧率，例如，可以预设三个帧率F1、F2、F3，其中F1<F2<F3；当软件为普通型软件时，将软件在未来时间内的帧率Fh设定为F2；当软件为游戏型软件时，表明当前应用场景下软件的帧率会持续很高，将软件在未来时间内的帧率Fh设定F3(最大帧率值)；当软件为阅读型软件是，表明当前应用场景下软件的帧率会持续比较低，则设定Fh为F1。
当所述软件处于陡增场景时，根据预设规则设置所述软件在未来预设时间段内的帧率。
在软件处于陡增场景的情况下，可能当前用户有点击或者开启了高软件帧率软件应用等，为了防止出现丢帧的情况，将在未来时间段内的帧率Fh设定为高帧率。例如在预设F1<F2<F3三个预设帧率的情况下，可以将帧率Fh设定为F3。
4、利用软件的实时帧率结合图像处理器的相关信息来预测软件在未来时间段内的帧率。由于，上述第一种预测方式中单纯的利用软件的实时帧率预测软件在未来时间段内的帧率，对于软件帧率突变比较小的时候，预测会很准确；但是对于帧率突变快而且大的场景下，该1s更新一次的信息显然就跟不上图像的变化，会导致设置的硬件刷新率低于软件帧率，从而导致丢帧的危险；所以为了防止丢帧的情况出现，本实施例方法可以利用实时帧率结合处理器的相关信息来预测软件在未来时间段内的帧率；如图2所示，具体地本实施例的方法可以包括：
步骤201：采集所述软件的实时帧率和所述终端中软件图像处理器的频率信息和负载信息；
步骤202：根据所述软件的实时帧率得到所述软件在未来预设时间内的帧率的值。
该步骤利用实时帧率得到软件在未来预设时间内的帧率的值可以参考上述的第一种预测方式的介绍。例如将软件在未来预设时间段内的Fh设定为F1。
步骤203：根据所述频率信息和负载信息判断是否需要调整所述帧率的值，若是，则执行步骤204，若否，则执行步骤205。
优选地，所述根据所述频率信息和负载信息判断是否需要调整所述帧率的值的过程可以包括：根据所述频率信息和所述负载信息确定所述软件当前所处的帧率场景；根据确定结果判断是否需要调整所述帧率的值。例如在本实施例中可以预先三种帧率场景包括：帧率平稳场景、帧率陡增场景以及帧率陡减场景。当确定所述软件处于帧率平稳场景时，则判定不需要对调整所述帧率的值，维持根据实时帧率获取的软件在未来时间段内的帧率值，此时Fh还是F1。当确定所述软件处于帧率陡增场景或者帧率陡减场景时，则表明根据实时帧率获取的软件在未来时间段内的帧率值不合适当下场景，所以需要进行调整，将调整后的帧率值作为软件在未来时间段内的最终帧率值。
步骤204：对所述帧率的值进行调整。
例如当软件处于帧率陡增场景情况下，可以重新设定软件在未来预设时间段内的帧率的值，例如将Fh设定为F3，即设定为最高的帧率。
而当确定软件处于帧率陡减场景时，对软件在未来预设时间段的帧率值调整的过程可以包括：确定所述软件所属的软件类型，根据该确定结果重新获取所述软件在预设时间段内的帧率的值。
优选地，确定所述软件所属的软件类型的过程可以包括：获取所述终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型。
在该步骤中如何确定软件的软件类型以及如何调整软件在未来时间段的帧率值具体过程可以参考上述第三种预测方式的介绍。例如本实施例中可以根据历史帧率信息确定所述软件属于阅读型软件、普通型软件还是游戏型软件；然后根据软件所属的软件类型来调整软件在未来时间段内的帧率值。例如当确定软件为普通型软件时，将Fh设定为F2；当软件为阅读型软件时，将Fh设定为F1，当软件为游戏型软件时，将Fh设定为F1。
步骤205：维持所述帧率的值不变。即将利用实时帧率获取的软件在未来时间段内的帧率值作为最终的帧率值。
上述介绍了预测方式1-4的具体内容，利用单种采集信息或者两种采集信息来预测软件在未来预设时间段内的帧率值。本实施例中利用三种采集信息和其他两种采集信息来预测软件在未来预设时间段内的帧率值的方式与上述方式类似，或者是上述预测方式1-3的组合。
本实施例方法可以自动调节终端的硬件刷新率，从而达到优化终端功耗的目的。
实施例二：
本实施例下面以高通平台为例来介绍本发明的方法，如图3所示，包括如下步骤：
步骤301：采集软件的实时帧率和所述终端中软件图像处理器的频率信息和负载信息。
如图5所示，本实施例提供了一种终端的硬件刷新率的调节装置的框架图，包括：软件实时帧率采集模块、CPU信息采集模块、系统帧率学习模块、帧率预测模块以及LCD刷新率设置模块。
采集实时帧率的过程可以包括：应用每次图像有任何更新时，都会发到底层驱动去处理，底层添加专门的计数器来记录这种图像更新变化。高通android平台上使用的接口如下：
/sys/kernel/debug/msm_fb/0/frame_count
采集模块每隔1秒读取一次这个计数器值，记为f(t)，
那么实时帧率值即为：Fs＝f(t)-f(t-1)；
采集软件图像处理器的相关信息的过程，这里处理器为CPU：GPU信息采集模块保存10秒内的GPUFreq和GPULoad信息，计算出10秒内的平均信息。
步骤302：根据所述软件的实时帧率得到所述软件在未来预设时间内的帧率的值。
假定本实施例中硬件刷新率为三个典型值：F1＝15帧，F2＝40帧，F3＝60帧。
软件实时帧率采集模块得到Fs后，判断当前Fs与F1，F2，F3的差值
若Fs<F1(15)时，则设定软件未来帧率预测值Fh＝F1；
若F1(15)<Fs<F2(40)时，则设定软件未来帧率预测值Fh＝F2；
若Fs>F2(40)时，则设定软件未来帧率预测值Fh＝F3(最高刷新率)。
步骤303：根据所述频率信息和所述负载信息确定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景。
在本实施例中采集到10秒内的GPUFreq和GPULoad信息之后，计算出10秒内的平均信息，计算方法如下：
Freq_average＝sum(GPUFreq(1),GPUFreq(10))/10
Load_average＝sum(GPULoad(1),GPULoad(10))/10
将当前的GPUFreq和GPULoad，对比前10秒的GPU信息。
若GPUFreq-Freq_average>100Mhz，且GPULoad-Load_average>20，则软件处于帧率陡增的场景；
若GPUFreq-Freq_average<-100Mhz，且GPULoad-Load_average<-20，则软件处于帧率陡降的场景。
除上面两个场景之外的场景为帧率平稳场景。
步骤304：当判断所述软件当前处于所述帧率平稳场景时，维持所述帧率的值不变。
平稳状态下，使用软件实时帧率的准确性会大大提高，所以在这个场景下，软件未来帧率预测值保持Fh。
步骤305：当判断所述软件处于所述帧率陡增场景时，对所述帧率的值进行调整。
若是软件帧率陡增状态，可能当前用户有点击或者开启了高软件帧率应用等，为了防止出现丢帧的情况，强制设定Fh＝F3(最高刷新率)。
步骤306：当判断所述软件处于帧率帧率陡减场景时，确定所述软件所属的软件类型，根据该确定结果重新获取所述软件在预设时间段内的帧率的值。
在软件处于帧率帧率陡减场景时这种情况下不好评估出软件未来帧率为多少，需要获取帧率学习系统中历史软件帧率数据库，得出当前前台应用是游戏性应用、阅读型应用还是普通型应用。
本实施例中可以设置系统帧率学习模块来采集各个应用程序在前台运行时的历史帧率信息；帧率学习系统中历史软件帧率数据库，得出当前前台应用是游戏性应用、阅读型应用还是普通型应用。例如软件实时帧率采集部分会将采集到的软件实时帧率送至系统帧率学习模块。系统会存储各个应用程序在前台运行时的软件实时帧率Fs， 当帧率信息采集达到次数为500次以上时，则认为历史数据采集完成。依据这些历史帧率信息，统计出各个应用程序在前台运行时的帧率范围。如下表所示：
表2
App Name 0-15帧 15-40帧 40-60帧
App1 50 50 400
App2 400 100 0
App3 100 350 50
系统依据此表评价出当前前台应用属于哪几类型的应用。
(1)帧率处于40-60帧范围的统计值S>350，认为是游戏性应用。如App1，其长期处于40-60帧的高帧率下；
(2)帧率处于0-15帧范围的统计值S>350，认为是阅读型应用。如App2，其历史帧率大部分处于15帧以下，系统标记该应用为阅读型应用；
(3)帧率不满足上面两种条件时，标记为普通型应用；
(4)在预定的学习时间没有达到时，默认标记为普通型应用。
若是游戏性应用，表明当前应用场景下应用的帧率会持续很高，则设定Fh＝F3(最大刷新率)；
若是阅读型应用，表明当前应用场景下应用的帧率会持续比较低，则设定Fh为F1；
若是普通型应用，设定Fh为F2。
步骤307，根据上述得出的软件在未来时间段内的帧率预测值Fh，设定LCD硬件刷新率。
下面详细介绍预测软件在未来时间段内的帧率的具体过程，假定硬件刷新率为三个典型值：F1＝15帧，F2＝40帧，F3＝60帧，软件未来时间段的帧率预测值为Fh，如图4所示：
步骤401：采集软件当前的实时帧率Fs。
步骤402：判断Fs是否小于F1，若是，执行步骤403，若否，则执行步骤404。
步骤403：设置Fh为F1，转步骤407。
步骤404：判断Fs是否小于F2，若是，执行步骤405，若否，则执行步骤406；
步骤405：设置Fh为F2，转步骤407。
步骤406：设置Fh为F3。
本实施例中步骤402-步骤406参考上述步骤302的具体描述。
步骤407：根据采集的CPU信息判定当前软件所处场景是否为帧率陡增场景，若是，执行步骤408，若否，则执行步骤409。
步骤408：强制调整Fh为最大帧率F3。
步骤409：根据采集的CPU信息判断当前软件所处场景是否为帧率陡减场景，若是，则执行步骤410，若否，则执行步骤411。
步骤410：根据软件的历史帧率信息确定当前软件属于何种类型，调整Fh为Fh’。
步骤411：判定当前软件处于帧率平稳场景，维持当前的Fh值不变。
实施例三：
如图6所示，本实施例提供了一种终端的硬件刷新频率的调节装置，包括：帧率预测模块和调节模块；
所述帧率预测模块设置为预测所述终端当前运行的软件在未来预设时间段内的帧率；
所述调节模块设置为根据预测的帧率调节所述终端的硬件刷新频率。
本实施例的装置可以动态适配软件帧率和硬件刷新率，达到优化终端显示屏功耗的目的，从而降低了整个终端的功耗。
优选地，如图7所示，本实施例中所述帧率预测模块包括：采集模块和帧率预测处理模块；
所述采集模块设置为采集所述软件的实时帧率、所述终端中软件图像处理器的相关信息以及所述软件在前台运行时的历史帧率信息中的至少一种信息；所述软件图像处理器的相关信息包括：所述软件图像处理器的频率信息和负载信息；
所述帧率预测处理模块设置为根据所述软件的实时帧率、所述软件图像处理器的相关信息、以及所述历史帧率信息中的至少一种信息预测所述终端当前运行的软件在未来预设时间段内的帧率。
优选地，所述采集模块设置为采集所述终端中软件图像处理器的相关信息；
所述帧率预测处理模块设置为根据所述频率信息和负载信息判定所述软件当前处于的帧率场景，根据判定结果预测所述软件在未来预设时间段内的帧率。
优选地，所述帧率预测处理模块设置为根据所述频率信息和负载信息判定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景；当所述软件处于帧率平稳场景时，获取所述软件的实时帧率，根据所述实时帧率获取所述软件在未来预设时间段内的帧率；当所述软件处于陡减帧率场景时，获取终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型，根据确定结果获取所述软件在未来预设时间段内的帧率；当所述软件处于陡增场景时，根据预设规则设置所述软件在未来预设时间段内的帧率。
在本实施例另一场景中，所述采集模块设置为采集所述软件的实时帧率和所述终端中软件图像处理器的相关信息；
所述帧率预测处理模块设置为根据所述软件的实时帧率得到所述软件在未来预设时间内的帧率的值；根据所述频率信息和负载信息判断是否需要调整所述帧率的值,若是,则对所述帧率的值进行调整,若否,则维持所述帧率的值不变。
优选地，所述帧率预测处理模块设置为根据所述频率信息和所述负载信息确定所述软件当前所处的帧率场景；根据确定结果判断是否需要调整所述帧率的值。
优选地，所述帧率预测处理模块设置为根据所述频率信息和所述负载信息确定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景；当判断所述软件当前处于所述帧率平稳场景时，判定不需要调整所述帧率的值；当判断所述软件处于所述帧率陡增场景或者帧率陡减场景时，判定需要调整所述帧率的值。
优选地，所述帧率预测处理模块设置为当确定所述软件处于帧率陡减场景时，确定所述软件所属的软件类型，根据该确定结果重新获取所述软件在预设时间段内的帧率的值。
优选地，所述帧率预测处理模块设置为获取所述终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型。
优选地，上述帧率预测处理模块设置为根据所述历史帧率信息确定所述软件所属的软件类型的过程包括：根据所述历史帧率信息确定所述软件属于阅读型软件、普通型软件还是游戏型软件。
以上内容是结合具体的实施方式对本发明所作的进一步详细说明，不能认定本发明的具体实施只局限于这些说明。对于本发明所属技术领域的普通技术人员来说，在不脱离本发明构思的前提下，还可以做出若干简单推演或替换，都应当视为属于本发明的保护范围。
工业实用性
如上所述，本发明实施例提供的一种终端的硬件刷新率的调节方法及装置，具有以下有益效果：能够自动调节硬件刷新率从而降低终端的功耗，本发明实施例的方法依据软件未来的帧率来动态调节终端的硬件刷新率，使得软件的帧率和硬件刷新率可以动态适配，优化了终端屏幕的功耗从而达到优化终端功耗的效果；与现有相比，本发明实施例的方法节省了终端的功耗，提高了终端的续航能力，从而提升了用户的体验。

Claims (20)

  1. 一种终端的硬件刷新频率的调节方法，包括以下步骤：
    预测所述终端当前运行的软件在未来预设时间段内的帧率；
    根据预测的帧率调节所述终端的硬件刷新频率。
  2. 如权利要求1所述的调节方法，其中，所述预测所述终端当前运行的软件在未来预设时间段内的帧率的步骤包括：
    采集所述软件的实时帧率、所述终端中软件图像处理器的相关信息以及所述软件在前台运行时的历史帧率信息中的至少一种信息；所述软件图像处理器的相关信息包括：所述软件图像处理器的频率信息和负载信息；
    根据所述软件的实时帧率、所述软件图像处理器的相关信息、以及所述历史帧率信息中的至少一种信息预测所述终端当前运行的软件在未来预设时间段内的帧率。
  3. 如权利要求2所述的调节方法，其中，
    所述采集所述软件的实时帧率、所述终端中软件图像处理器的相关信息以及所述软件在前台运行时的历史帧率信息中的至少一种信息的步骤包括：
    采集所述终端中软件图像处理器的相关信息；
    所述根据所述软件的实时帧率、所述软件图像处理器的相关信息、以及所述历史帧率信息中的至少一种信息预测所述终端当前运行的软件在未来预设时间段内的帧率的步骤包括：
    根据所述频率信息和负载信息判定所述软件当前处于的帧率场景；
    根据判定结果预测所述软件在未来预设时间段内的帧率。
  4. 如权利要求3所述的调节方法，其中，所述根据所述频率信息和负载信息判定所述软件当前处于的帧率场景的步骤包括：
    根据所述频率信息和负载信息判定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景；
    所述根据判定结果预测所述软件在未来预设时间段内的帧率的步骤包括：
    当所述软件处于帧率平稳场景时，获取所述软件的实时帧率，根据所述实时帧率获取所述软件在未来预设时间段内的帧率；
    当所述软件处于陡减帧率场景时，获取终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型，根据确定结果获取所述软件在未来预设时间段内的帧率；
    当所述软件处于陡增场景时，根据预设规则设置所述软件在未来预设时间段内的帧率。
  5. 如权利要求2所述的调节方法，其中，
    所述采集所述软件的实时帧率、所述终端中软件图像处理器的相关信息以及所述软件在前台运行时的历史帧率信息中的至少一种信息的步骤包括：
    采集所述软件的实时帧率和所述终端中软件图像处理器的相关信息；
    根据所述软件的实时帧率、所述软件图像处理器的相关信息、以及所述历史帧率信息中的至少一种信息预测所述终端当前运行的软件在未来预设时间段内的帧率的步骤包括：
    根据所述软件的实时帧率得到所述软件在未来预设时间内的帧率的值；
    根据所述频率信息和负载信息判断是否需要调整所述帧率的值,若是,则对所述帧率的值进行调整,若否,则维持所述帧率的值不变。
  6. 如权利要求5所述的调节方法，其中，所述根据所述频率信息和负载信息判断是否需要调整所述帧率的值的步骤包括：
    根据所述频率信息和所述负载信息确定所述软件当前所处的帧率场景；
    根据确定结果判断是否需要调整所述帧率的值。
  7. 如权利要求6所述的调节方法，其中，所述根据所述频率信息和所述负载信息确定所述软件当前所处的帧率场景的步骤包括：根据所述频率信息和所述负载信息确定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景；
    所述根据确定结果判断是否需要调整所述帧率的值的步骤包括:
    当判断所述软件当前处于所述帧率平稳场景时，判定不需要调整所述帧率的值；
    当判断所述软件处于所述帧率陡增场景或者帧率陡减场景时，判定需要调整所述帧率的值。
  8. 如权利要求6所述的调节方法，其中，当确定所述软件处于帧率陡减场景时，所述对所述帧率的值进行调整的步骤包括：
    确定所述软件所属的软件类型，根据该确定结果重新获取所述软件在预设时间段内的帧率的值。
  9. 如权利要求8所述的调节方法，其中，所述确定所述软件所属的软件类型的步骤包括：
    获取所述终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型。
  10. 如权利要求4或9所述的调节方法，其中，所述根据所述历史帧率信息确定所述软件所属的软件类型的步骤包括：根据所述历史帧率信息确定所述软件属于阅读型软件、普通型软件还是游戏型软件。
  11. 一种终端的硬件刷新频率的调节装置，包括：帧率预测模块和调节模块；
    所述帧率预测模块设置为预测所述终端当前运行的软件在未来预设时间段内的帧率；
    所述调节模块设置为根据预测的帧率调节所述终端的硬件刷新频率。
  12. 如权利要求11所述的调节装置，其中，所述帧率预测模块包括：采集模块和帧率预测处理模块；
    所述采集模块设置为采集所述软件的实时帧率、所述终端中软件图像处理器的相关信息以及所述软件在前台运行时的历史帧率信息中的至少一种信息；所述软件图像处理器的相关信息包括：所述软件图像处理器的频率信息和负载信息；
    所述帧率预测处理模块设置为根据所述软件的实时帧率、所述软件图像处理器的相关信息、以及所述历史帧率信息中的至少一种信息预测所述终端当前运行的软件在未来预设时间段内的帧率。
  13. 如权利要求12所述的调节装置，其中，所述采集模块设置为采集所述终端中软件图像处理器的相关信息；
    所述帧率预测处理模块设置为根据所述频率信息和负载信息判定所述软件当前处于的帧率场景，根据判定结果预测所述软件在未来预设时间段内的帧率。
  14. 如权利要求13所述的调节装置，其中，所述帧率预测处理模块设置为根据所述频率信息和负载信息判定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景；当所述软件处于帧率平稳场景时，获取所述软件的实时帧率，根据所述实时帧率获取所述软件在未来预设时间段内的帧率；当所述软件处于陡减帧率场景时，获取终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型，根据确定结果获取所述软件在未来预设时间段内的帧率；当所述软件处于陡增场景时，根据预设规则设置所述软件在未来预设时间段内的帧率。
  15. 如权利要求12所述的调节装置，其中，所述采集模块设置为采集所述软件的实时帧率和所述终端中软件图像处理器的相关信息；
    所述帧率预测处理模块设置为根据所述软件的实时帧率得到所述软件在未来预设时间内的帧率的值；根据所述频率信息和负载信息判断是否需要调整所述帧率的值，若是，则对所述帧率的值进行调整，若否,则维持所述帧率的值不变。
  16. 如权利要求15所述的调节装置，其中，所述帧率预测处理模块设置为根据所述频率信息和所述负载信息确定所述软件当前所处的帧率场景；根据确定结果判断是否需要调整所述帧率的值。
  17. 如权利要求16所述的调节装置，其中，所述帧率预测处理模块设置为根据所述频率信息和所述负载信息确定所述软件当前处于帧率平稳场景、帧率陡增场景还是帧率陡减场景；当判断所述软件当前处于所述帧率平稳场景时，判定不需要调整所述帧率的值；当判断所述软件处于所述帧率陡增场景或者帧率陡减场景时，判定需要调整所述帧率的值。
  18. 如权利要求17所述的调节装置，其中，所述帧率预测处理模块设置为当确定所述软件处于帧率陡减场景时，确定所述软件所属的软件类型，根据该确定结果重新获取所述软件在预设时间段内的帧率的值。
  19. 如权利要求18所述的调节装置，其中，所述帧率预测处理模块设置为获取所述终端中各个软件在前台运行时的历史帧率信息，根据所述历史帧率信息确定所述软件所属的软件类型。
  20. 如权利要求14或19所述的调节装置，其中，所述帧率预测处理模块设置为根据所述历史帧率信息确定所述软件所属的软件类型的过程包括：根据所述历史帧率信息确定所述软件属于阅读型软件、普通型软件还是游戏型软件。
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