WO2020133413A1 - Procédé et appareil d'ajustement de regroupement d'applications, support de stockage et dispositif électronique - Google Patents

Procédé et appareil d'ajustement de regroupement d'applications, support de stockage et dispositif électronique Download PDF

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Publication number
WO2020133413A1
WO2020133413A1 PCT/CN2018/125626 CN2018125626W WO2020133413A1 WO 2020133413 A1 WO2020133413 A1 WO 2020133413A1 CN 2018125626 W CN2018125626 W CN 2018125626W WO 2020133413 A1 WO2020133413 A1 WO 2020133413A1
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Prior art keywords
application
usage information
applications
electronic device
priority
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PCT/CN2018/125626
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English (en)
Chinese (zh)
Inventor
陆天洋
张寅祥
帅朝春
吴建文
戴堃
Original Assignee
深圳市欢太科技有限公司
Oppo广东移动通信有限公司
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Application filed by 深圳市欢太科技有限公司, Oppo广东移动通信有限公司 filed Critical 深圳市欢太科技有限公司
Priority to CN201880099432.9A priority Critical patent/CN112997543B/zh
Priority to PCT/CN2018/125626 priority patent/WO2020133413A1/fr
Publication of WO2020133413A1 publication Critical patent/WO2020133413A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/725—Cordless telephones
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • This application relates to the field of electronic technology, and in particular, to an application group adjustment method, device, storage medium, and electronic equipment.
  • the Android system includes an application standby grouping function.
  • the application standby grouping function is a power management function.
  • the application standby group includes the following five groups: Active (Active), Working (Setting), Frequent (Frequent), Rare (Rare), and Occasionally (Apply is not frequently used).
  • the system will divide each application into one of the above groups according to the usage of each application, and each group has different restrictions on the scheduling of device resources.
  • Embodiments of the present application provide an application group adjustment method, apparatus, storage medium, and electronic equipment, which can effectively control resource consumption of electronic equipment.
  • an embodiment of the present application provides an application grouping adjustment method, which is applied to an electronic device.
  • the operating system of the electronic device includes multiple levels of application standby groups.
  • the application standby group with a higher grouping level is configured The stronger the scheduling capability of the electronic equipment resources, the method includes:
  • the applications in the multiple application standby groups are adjusted.
  • an embodiment of the present application provides an application grouping adjustment apparatus, which is applied to an electronic device.
  • the operating system of the electronic device includes multiple levels of application standby groups.
  • the application standby group with a higher grouping level is configured The stronger the scheduling capability of the electronic equipment resources, the device includes:
  • the applications in the application standby group of multiple levels are adjusted based on the priority, wherein the application standby group with a higher group level is configured to have a stronger scheduling capability for the resources of the electronic device.
  • an embodiment of the present application provides a storage medium in which multiple instructions are stored, and the instructions are adapted to be loaded by a processor to perform the following steps:
  • the applications in the application standby group of multiple levels are adjusted based on the priority, wherein the application standby group with a higher group level is configured to have a stronger scheduling capability for the resources of the electronic device.
  • an embodiment of the present application provides an electronic device, including a processor and a storage medium, where multiple instructions are stored in the storage medium, and an operating system of the electronic device includes multiple levels of application standby packets, and the packet levels The higher the application standby packet is configured to have the stronger ability to schedule the resources of the electronic device, the processor loads the instruction to perform the following steps:
  • the applications in the application standby group of multiple levels are adjusted.
  • FIG. 1 is a first schematic flowchart of an application group adjustment method provided by an embodiment of the present application.
  • FIG. 2 is a second schematic flowchart of an application group adjustment method provided by an embodiment of the present application.
  • FIG. 3 is a schematic diagram of an application scenario of an application group adjustment method provided by an embodiment of the present application.
  • FIG. 4 is a first schematic structural diagram of an application packet adjustment device provided by an embodiment of the present application.
  • FIG. 5 is a second schematic structural diagram of an application packet adjustment device provided by an embodiment of the present application.
  • FIG. 6 is a third schematic structural diagram of an application packet adjustment device provided by an embodiment of the present application.
  • FIG. 7 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • FIG. 8 is another schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • Embodiments of the present application provide an application grouping adjustment method, device, storage medium, and electronic equipment, which will be described in detail below.
  • the grouping adjustment method is applied to electronic devices.
  • the electronic device may be a smart terminal such as a smart phone or a tablet computer.
  • multiple applications are installed in the electronic device.
  • the operating system of the electronic device may include multiple levels of application standby packets, and application standby packets with a higher packet level are configured to have a stronger ability to schedule electronic device resources.
  • the operating system may be an Android (Android) operating system, and multiple levels of application standby grouping may be a power framework under the Android operating system.
  • the Android system includes an application standby grouping function.
  • the application standby grouping function is a power management function.
  • the application standby group includes the following five groups, namely: active (the application is being used), working (the application is frequently used), commonly used (the application is often used but not every day), rarely (the application is rarely used), Occasionally (applications are used occasionally).
  • the system will divide each application into one of the above groups according to the usage of each application, and each group has different restrictions on the scheduling of device resources. Among them, in terms of scheduling capability of device resources, active grouping, working grouping, common grouping, rare grouping, and occasional grouping decrease in sequence.
  • the scheduling capability of applications in active grouping on device resources is configured to be stronger than working groupings.
  • the ability to schedule equipment resources of applications that are divided into work groups is configured to be stronger than commonly used groups.
  • the device of the Android system divides an application into one of the five groups according to the usage behavior of the application, that is, the device has poor flexibility in adjusting the application standby group.
  • the application group adjustment method provided in the embodiments of the present application may include the following processes:
  • a Global Positioning System Global Positioning System, GPS for short
  • base station positioning technology may also be used, and after the base station determines the geographic location of the electronic device, corresponding information is sent to the terminal to obtain the current geographic location.
  • other positioning methods may also be used, such as wireless fidelity (WIreless-FIdelity, Wi-Fi for short) positioning, Bluetooth positioning, and the like.
  • the acquired geographic location information may be more precise geographic location information such as specific longitude, latitude, altitude, etc., or rough geographic location information such as geographic interval and location range.
  • the application (application, APP for short) mentioned in this embodiment may be any application installed on the electronic device, such as an office application, a social application, a game application, a shopping application, and the like.
  • the usage information of the application may be a usage record of the application, such as a record of the opening time of each application.
  • the usage information of each installed application can be recorded, converted into corresponding data and stored in a preset storage area.
  • the historical time period may be the past month, the most recent week, and so on.
  • the sampling time point can be set to monitor the usage records of each application for each application. If you want to obtain high-precision results, you can set the collection time point more densely, such as every 1 minute is a sampling time point; if you want to save the resources of electronic equipment and do not require the accuracy of the result, you can Set the sampling time point loosely, for example, every 10 minutes is a sampling time point.
  • the operation of acquiring usage information of each application may be set to be triggered only when the electronic device is in a standby state.
  • the step "Acquiring usage information of each application in the historical time period according to the geographic location" may include the following process:
  • the first usage information of each local application in the historical time period and the second usage information of each application installed in the associated electronic device in the historical time period are obtained.
  • the sample location set may include indoor location information, such as a home location, office geographic location, school geographic location, and so on.
  • indoor location information such as a home location, office geographic location, school geographic location, and so on.
  • weights can be correspondingly set for the usage data in different devices. For example, if the mobile phone is used more frequently, the corresponding weight value of the mobile phone can be set larger.
  • the application information ie, the first usage information and the second practical information
  • device user identification devices such as fingerprint identification, face recognition, etc.
  • a timer can be integrated in the electronic device to detect the current time information in real time, such as a time stamp. Then, convert the obtained timestamp to the time information in the current common time format, such as xx year xx month xx day xx hour xx minutes xx seconds, and can also be converted into week xx, week xx, xx hours xx minutes xx seconds, etc. .
  • the usage information of each application can be counted, and it can be concluded that users often use high-frequency applications at different time points according to the statistical results, as a habit of using applications by users, to prioritize applications.
  • a prediction algorithm model (such as a mixed Gaussian algorithm model and a convolutional neural network algorithm model) of application usage can be constructed based on the usage information of each application, so as to adjust the priority of each application at different time points according to the prediction results.
  • the priority of each application in real time according to the usage information. For example, only the application usage data local to the device can be selected to predict user habits, and the priority of each application can be adjusted based on this You can also select the application usage data of one or more associated devices and merge them with the device’s local application usage data to predict user habits and adjust the priority of each application based on this.
  • the step "adjust the priority of each application at the current time point according to the usage information” may include the following process:
  • the priority of each application at the current time point is adjusted based on the third usage information.
  • the usage information of the same application may be directly superimposed.
  • the application duration of the local application A of the electronic device in a certain period of time is 10 minutes
  • the application duration of the application A in the associated electronic device 1 in the certain period of time is 5 minutes
  • the application A in a certain period after data processing The duration of use is 15 minutes.
  • weights can be set for the usage information therein. For example, if the electronic device is used more frequently than the associated electronic device 1 and the electronic associated electronic device 2, the weight ratio can be set to 3:1:1, that is, the first use information of each application of the local application of the electronic device has a weight of 60%, the second usage information of each application associated with the local application of the electronic device 1 accounts for 20%, and the second usage information of each application associated with the local application of the electronic device 2 accounts for 20%.
  • the weight proportion distribution can be adjusted according to the actual use frequency difference. This application does not limit this.
  • the step "adjust the priority of each application at the current time point according to the usage information" may include the following process:
  • the priority of each application at the current time point is adjusted based on the fourth usage information.
  • the second use information of the similar application of the local application type belonging to the same application type can be selected from the associated electronic device, and used as reference information to integrate the first use of each application local to the electronic device Predict user habits in the information.
  • the electronic device locally has 6 applications including A, B, C, D, E, and F
  • the associated electronic device 1 has 4 applications including A, G, H, and I.
  • applications A and B belong to The same type (such as games)
  • applications C, D, F, and G belong to the same type (such as office)
  • applications H and I belong to the same type (such as communications).
  • similar applications: A and E can be selected from the associated electronic device 1.
  • the second usage information of the common applications A and E is filtered out. Finally, the filtered second usage information and the first usage information of the local application of the electronic device are superimposed to obtain fourth usage information of each local application.
  • the applications configured in the application standby group can be adjusted according to the priority order of the electronic devices at the current time point, so as to dynamically adjust each level under the power frame according to the user's usage habits and the current time point
  • the applications in the group make it possible to reduce the resource consumption of electronic devices without closing the applications.
  • the state parameter may be a power parameter of an electronic device, a network state parameter, a motion state parameter, and so on.
  • the step "adjusting applications in multiple application standby groups based on priority” may include the following process:
  • the number distribution information is information about the number of applications correspondingly configured in the application standby group of each level. For example, there are a total of five levels of application standby groups, the first level is the highest level, then the number distribution information can be set as follows: the first level of application standby group corresponds to the number of configured applications is 3, the second level of application standby group corresponds to the configuration The number of applications is 4, the third-level application standby group corresponds to 5 configured applications, the fourth-level application standby group corresponds to 6 configured applications, and the fifth-level application standby group corresponds to 7 configured applications .
  • the power area assuming that the full power is 100%, the power can be divided into multiple intervals according to actual demand, such as 0-20%, 20%-40%, 40%-80%, 80%-100%, etc. Four battery intervals.
  • the power of each section set the number of allowed applications in each level of the application standby group. In actual applications, the higher the power, the higher the number of applications allowed to be configured in the application standby group corresponding to the higher level.
  • the power range is 0-20%
  • the number of applications allowed to be configured in the corresponding highest level application standby group is 1, and the number of applications allowed to be configured in the corresponding lowest level application standby group is 10.
  • the power range is 80-100%, and the number of applications allowed to be configured in the corresponding highest-level application standby group is 5
  • the number of applications allowed to be configured in the corresponding highest-level application standby group is 5.
  • the step "adjusting applications in multiple application standby groups based on the number distribution information and priority" may include the following process:
  • the corresponding number of applications are screened in order from high to low priority to obtain multiple application sets;
  • the grouping level is five levels, and the quantity distribution information from the high level to the low level is: 1, 1, 2, 3, 3.
  • five sets can be selected from multiple applications, namely set 1 ⁇ A ⁇ , set 2 ⁇ B ⁇ , set 3 ⁇ C, D ⁇ , set 4 ⁇ E, F, G ⁇ , Collection 5 ⁇ H, I, J ⁇ .
  • the corresponding application set can be matched for each level according to the order of the grouping levels, so as to replace the applications in each application standby group with the applications in the matched application set.
  • the step of "matching application standby groups of multiple levels with multiple application sets in the order of packet hierarchy” may include the following processes:
  • the priority of the application in the high-level application set is higher than the priority of the application in the low-level application set;
  • the multiple application sets are matched with the multiple application standby groups in a one-to-one correspondence.
  • an aggregation level may be set for multiple application aggregations. For example, set 1 ⁇ A ⁇ to the first level (that is, the highest level), set 2 ⁇ B ⁇ to the second level, set 3 ⁇ C, D ⁇ to the third level, and set 4 ⁇ E, F, G ⁇ Set to the fourth level and set 5 ⁇ H, I, J ⁇ to the fifth level (ie the lowest level). Then, according to the order of the collection level from high to low, and the grouping level from high to low, set 1 is matched with the application standby group of the first level, set 2 is matched with the application standby group of the second level, and set 3 Match with the third-level application standby group, and so on.
  • the step "replace applications in each application standby group with applications in the matched application set” may include the following process:
  • the historical time period includes multiple time periods, and each time period is divided into multiple sampling periods; with continued reference to FIG. 2, the step "Acquiring usage information of each application in the historical time period according to geographic location” may include the following Process:
  • the same sampling period of each application in each day of the past week is counted (if a day can include 24 hours, the first hour of Monday and the The first hour is the same sampling period; then the 24th hour on Monday and the 24th hour on Sunday are the same sampling period)
  • the usage information of the acquired applications may be preprocessed to calculate the usage probability of each application in different sampling periods, to further obtain the probability distribution of the usage change of each application with time, and
  • the training samples are generated in one-to-one correspondence with the use probability.
  • the preset algorithm model can be trained based on the generated training samples to obtain an algorithm model that can predict the application use probability at different time points.
  • the training samples generated above can be input into a preset mixed Gaussian model, and the relevant parameters in the preset mixed Gaussian model can be continuously modified according to the input training samples, so that the trained mixed Gaussian model can be applied to All training samples are used to predict the application usage probability at different time points.
  • the step "adjust the priority of each application at the current time point according to the usage information” may include the following process:
  • the corresponding target sampling period may be determined to be the 9th hour from multiple sampling periods (such as the above-mentioned 24 hours). Then, it is sufficient to obtain the use probability corresponding to each application in the 9th hour, and adjust the priority of each application based on the use probability.
  • the usage information includes usage frequency and duration; then the step "process the usage information corresponding to the same sampling period of each application in different time periods to obtain the corresponding correspondences of different sampling periods of each application in the time period "Probability of use” can include the following processes:
  • Probability calculations are respectively performed on the usage frequency and duration of the same sampling period of each application in different time periods to obtain the first probability corresponding to the usage frequency of each application and the second probability corresponding to the running duration under different sampling periods;
  • the first probability and the second probability are weighted, and the usage probabilities of different applications in different sampling periods are calculated.
  • the probability of the usage frequency corresponding to the same sampling period in different time periods for each application it can be used under the same sampling period in different time periods (such as 12:00 to 13:00 every day)
  • the first probability corresponding to the frequency of use in the sampling period ie, 12:00 to 13:00.
  • the first probability corresponding to the use frequency of each application under different sampling periods can be calculated.
  • the probability calculation is performed for the usage duration corresponding to the same sampling period in different time periods for each application
  • the same sampling period in different time periods (such as 12:00 to 13:00 every day) can be counted Use the total duration of the application, and then count the sum of the duration of the target application that needs to be calculated in the same sampling period in different time periods (such as 12:00 to 13:00 every day), and finally calculate the ratio, which is the target
  • the second probability corresponding to the duration of use in the sampling period ie, 12:00 to 13:00
  • the second probability corresponding to the usage duration of each application in different sampling periods can be calculated.
  • the preset weight can be set by the product manufacturer, for example, the weight corresponding to the use frequency is set to 40%, and the weight corresponding to the use time is set to 60%.
  • the usage information may also include other application usage parameters, such as the length of time the foreground runs, power consumption, and so on.
  • the application grouping adjustment method obtained by the embodiment of the present application obtains the current geographic location; obtains the usage information of each application in the historical time period according to the geographic location; determines the current time point; adjusts the location based on the usage information Describe the priority of each application at the current time; adjust the applications in the application standby group at multiple levels based on the priority.
  • the solution of this application can dynamically retrieve application usage data in associated devices based on the current geographic location to predict the user's usage habits, and dynamically adjust the applications in each level group under the power framework in real time, realizing the premise of not closing applications To achieve the purpose of reducing the consumption of electronic equipment resources.
  • FIG. 3 is a schematic diagram of an application scenario of an application grouping adjustment method provided in an embodiment of the present application.
  • the preset power ranges are: 0-20%, 20%-40%, 40%-80%, and 80%-100%.
  • the standby group of each application in the figure gradually decreases from the top to the lower level, when the electronic device is in the standby mode, the application standby group adjustment mode is triggered to start, at this time the electronic device can obtain each application in the past week (assuming There are 11 applications such as application 1 to application 11 installed in the electronic device.
  • the priority of each application under the current time point (that is, Monday 11:10) is adjusted to obtain the priority from high to
  • the result of the low order is: application 1 to application 11, when the power is 90%, and the power interval is 80%-100%, then obtain the application number distribution information of the application standby group at each level under the power interval (assuming The order from high to low is: 2, 3, 3, 2, 1), then the configuration of the application standby group at the current time can refer to Figure 3(a).
  • the application standby group at each level is from high level to low level
  • the application distribution is: application 1, application 2; application 3, application 4, application 5; application 6, application 7, application 8; application 9, application 10; application 11.
  • the electronic device can obtain the usage information of each application in the past week, and then, according to the usage information, adjust the priority of each application under the current time point (that is, Monday 12:20) ,
  • the results of the priority order from high to low are: Application 3, Application 4, Application 6, Application 7, Application 8, Application 1, Application 2, Application 5, Application 11, Application 10, Application 9.
  • the power is 85%, and the power interval is between 80% and 100%, which is the same as when the power is 90%. Therefore, the distribution information of the number of applications in the application standby group at each level remains unchanged.
  • the application distribution of the application standby group at each level from the upper level to the lower level is: application 3, application 4; application 6, application 7, application 8; Application 1, Application 2, Application 5; Application 11, Application 10; Application 9.
  • the electronic device can obtain the usage information of each application in the past week, and then, according to the usage information, adjust the priority of each application under the current time point (that is, Monday 12:50) ,
  • the order of priority from high to low is still as follows: application 3, application 4, application 6, application 7, application 8, application 1, application 2, application 5, application 11, application 10, application 9.
  • the power is 75%, and the power range is 40%-80%, then obtain the distribution information of the number of applications in the application standby group of each level under the power range (assuming that the order from high to low is: 1, 3, 3 , 3, 1).
  • the application distribution of the application standby group at each level from the upper level to the lower level is: application 3; Application 4, Application 6, Application 7; Application 8, Application 1, Application 2; Application 5, Application 11, Application 10; Application 9.
  • the solution of this application can dynamically retrieve the application usage data of the associated devices based on the current geographic location to predict the user's usage habits, combined with the current time stamp and the status information of the electronic device (such as power, network status, etc.), real-time dynamic adjustment
  • the applications in the standby group of each level of applications under the power framework achieve the purpose of reducing the resource consumption of electronic devices without closing the applications.
  • An embodiment of the present application further provides an application group adjustment device 300, which may be integrated in an electronic device, which may be a smart terminal device such as a smart phone, a tablet computer, or the like, and multiple applications are installed in the electronic device.
  • an electronic device which may be a smart terminal device such as a smart phone, a tablet computer, or the like, and multiple applications are installed in the electronic device.
  • the application group adjustment device 300 may include: a position acquisition module 31, an information acquisition module 32, a determination module 33, a level adjustment module 34, and a group adjustment module 35. among them:
  • the position obtaining module 31 is used to obtain the current geographical position
  • the information obtaining module 32 is used to obtain the usage information of each application in the historical time period according to the geographical position;
  • the determining module 33 is used to determine the current time point
  • the level adjustment module 34 is used to adjust the priority of each application at the current time according to the usage information
  • the grouping adjustment module 35 is configured to adjust applications in a plurality of application standby groups based on the priority.
  • the information acquisition module 31 may be used to:
  • the level adjustment module 33 may be used to:
  • the priority of each application at the current time point is adjusted based on the third usage information.
  • the level adjustment module 33 may be used to:
  • the priority of each application at the current time point is adjusted based on the fourth usage information.
  • the historical time period includes multiple time periods, and each time period is divided into multiple sampling periods; the information acquisition module 32 is used to:
  • the usage information corresponding to the same sampling period of each application in different time periods is processed to obtain the usage probability of each application corresponding to different sampling periods in the time period.
  • the level adjustment module 34 may include:
  • the first determining submodule 341 is configured to determine a target sampling period corresponding to the current time point from the multiple sampling periods;
  • the first obtaining sub-module 342 is configured to obtain the target use probability corresponding to each application during the target sampling period
  • the first adjustment sub-module 343 is used to adjust the priority of each application based on the target use probability.
  • the usage information includes usage frequency and duration
  • the first obtaining sub-module is used to:
  • Probability calculations are respectively performed on the usage frequency and duration of the same sampling period of each application in different time periods to obtain the first probability corresponding to the usage frequency of each application and the second probability corresponding to the running duration under different sampling periods;
  • the first probability and the second probability are weighted, and the usage probabilities of different applications in different sampling periods are calculated.
  • the device 300 may further include:
  • the power quantity obtaining module 36 is configured to obtain the current power quantity of the current electronic device before adjusting the applications in the multiple application standby groups based on the priority;
  • the grouping adjustment module 35 may include:
  • the second determining submodule 351 is used to determine the power interval where the current power is located;
  • the second obtaining submodule 352 is configured to obtain the quantity distribution information of the number of applications in each application standby group under the power interval according to a preset mapping relationship, where the preset mapping relationship includes: the power interval and each application standby group The mapping relationship between the quantity distribution information of the number of applications in
  • the second adjustment sub-module 353 is configured to adjust applications in a plurality of application standby groups based on the number distribution information and the priority.
  • the second adjustment submodule 353 may be used to:
  • the corresponding number of applications are screened in order from high to low priority to obtain multiple application sets;
  • an embodiment of the present application provides an application grouping adjustment device, which obtains the current geographic location; obtains the usage information of each application in the historical time period according to the geographic location; determines the current time point; according to the usage information Adjust the priority of each application at the current time point; adjust the applications in the application standby group of multiple levels based on the priority.
  • the solution of this application can dynamically retrieve application usage data in associated devices based on the current geographic location to predict the user's usage habits, and dynamically adjust the applications in each level group under the power framework in real time, realizing the premise of not closing applications To achieve the purpose of reducing the consumption of electronic equipment resources.
  • the electronic device 500 includes a processor 501 and a memory 502.
  • the processor 501 and the memory 502 are electrically connected.
  • the processor 500 is the control center of the electronic device 500, which uses various interfaces and lines to connect the various parts of the entire electronic device, executes or loads the computer program stored in the memory 502, and calls the data stored in the memory 502 to execute
  • the electronic device 500 performs various functions and processes data to perform overall monitoring of the electronic device 500.
  • the memory 502 can be used to store software programs and modules.
  • the processor 501 runs computer programs and modules stored in the memory 502 to execute various functional applications and data processing.
  • the memory 502 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, a computer program required for at least one function, and the like; the storage data area may store data created according to the use of electronic devices, and the like.
  • the memory 502 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 502 may further include a memory controller to provide the processor 501 with access to the memory 502.
  • the processor 501 in the electronic device 500 will load the instructions corresponding to the process of one or more computer programs into the memory 502 according to the following steps, and the processor 501 runs and stores the instructions in the memory 502
  • the computer program in order to achieve various functions, as follows:
  • the applications in the multiple application standby groups are adjusted.
  • the processor 501 when acquiring the usage information of each application in the historical time period according to the geographic location, performs the following steps:
  • the first usage information of each local application in the historical time period and the second usage information of each application installed in the associated electronic device in the historical time period are obtained.
  • the processor 501 when adjusting the priority of each application at the current time point according to the usage information, performs the following steps:
  • the priority of each application at the current time point is adjusted based on the third usage information.
  • the processor 501 when acquiring the usage information of each application in the historical time period according to the geographic location, performs the following steps:
  • the priority of each application at the current time point is adjusted based on the fourth usage information.
  • the historical time period includes multiple time periods, and each time period is divided into multiple sampling periods;
  • the processor 501 When acquiring the usage information of each application in the historical time period, the processor 501 performs the following steps:
  • the usage information corresponding to the same sampling period of each application in different time periods is processed to obtain the usage probability of each application corresponding to different sampling periods in the time period.
  • the processor 501 When adjusting the priority of each application at the current time point according to the usage information, the processor 501 performs the following steps:
  • the priority of each application is adjusted based on the target use probability.
  • the usage information includes usage frequency and duration; after processing usage information corresponding to the same sampling period of each application in different time periods, it is obtained that each application corresponds to different sampling periods in the time period
  • the processor 501 performs the following steps:
  • Probability calculations are respectively performed on the usage frequency and duration of the same sampling period of each application in different time periods to obtain the first probability corresponding to the usage frequency of each application and the second probability corresponding to the running duration under different sampling periods;
  • the first probability and the second probability are weighted, and the usage probabilities of each application in different sampling periods are calculated.
  • the processor 501 before adjusting applications in multiple application standby groups based on the priority, the processor 501 performs the following steps:
  • the processor 501 When adjusting applications in multiple application standby groups based on the priority, the processor 501 performs the following steps:
  • the preset mapping relationship includes: between the quantity interval and the number distribution information of the number of applications in each application standby group Mapping relationship
  • the applications in the multiple application standby groups are adjusted.
  • the processor 501 when adjusting applications in a plurality of application standby groups based on the number distribution information and the priority, performs the following steps:
  • the corresponding number of applications are screened in order from high to low priority to obtain multiple application sets;
  • the processor 501 executes the following steps when matching the application standby packets of the multiple levels with multiple application sets according to the order of the packet levels.
  • the multiple application sets are matched with the multiple application standby packets in a one-to-one correspondence in order of the set level from high to low and the grouping level from high to low.
  • the processor 501 when the applications in each application standby group are replaced with applications in the matched application set, the processor 501 performs the following steps:
  • the electronic device obtains the current geographic location by using the current geographic location; obtains the usage information of each application in the historical time period according to the geographic location; determines the current time point; and adjusts the current time according to the usage information Click the priority of each application; adjust the applications in the application standby group of multiple levels based on the priority.
  • the solution of this application can dynamically retrieve application usage data in associated devices based on the current geographic location to predict the user's usage habits, and dynamically adjust the applications in each level group under the power framework in real time, realizing the premise of not closing applications To achieve the purpose of reducing the consumption of electronic equipment resources.
  • the electronic device 500 may further include: a display 503, a radio frequency circuit 504, an audio circuit 505, and a power supply 506.
  • the display 503, the radio frequency circuit 504, the audio circuit 505, and the power supply 506 are electrically connected to the processor 501, respectively.
  • the display 503 can be used to display information input by the user or provided to the user and various graphical user interfaces, which can be composed of graphics, text, icons, video, and any combination thereof.
  • the radio frequency circuit 504 can be used to send and receive radio frequency signals to establish wireless communication with network devices or other electronic devices through wireless communication, and send and receive signals with network devices or other electronic devices.
  • the audio circuit 505 can be used to provide an audio interface between a user and an electronic device through speakers and microphones.
  • the power supply 506 can be used to power various components of the electronic device 500.
  • the power supply 506 may be logically connected to the processor 501 through a power management system, so as to implement functions such as charging, discharging, and power consumption management through the power management system.
  • the electronic device 500 may further include a camera, a Bluetooth module, etc., which will not be repeated here.
  • An embodiment of the present application also provides a storage medium that stores a computer program, and when the computer program is run on a computer, the computer is caused to execute the application grouping adjustment method in any of the foregoing embodiments, such as: obtaining the current Geographic location; obtaining usage information of each application in the historical time period according to the geographic location; determining the current time point; adjusting the priority of each application at the current time point according to the usage information; based on the priority for multiple The application in the application standby group at the level is adjusted, wherein the application standby group at a higher group level is configured to have a stronger scheduling capability for the resources of the electronic device.
  • the storage medium may be a magnetic disk, an optical disk, a read-only memory (Read Only Memory, ROM), or a random access memory (Random Access Memory, RAM), etc.
  • the computer program may be stored in a computer-readable storage medium, such as stored in the memory of the electronic device, and executed by at least one processor in the electronic device, during the execution process may include, for example, application group adjustment The process of the method embodiment.
  • the storage medium may be a magnetic disk, an optical disk, a read-only memory, a random access memory, or the like.
  • each functional module may be integrated into one processing chip, or each module may exist alone physically, or two or more modules may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or software function modules. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium, such as a read-only memory, a magnetic disk, or an optical disk.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Telephone Function (AREA)
  • Stored Programmes (AREA)

Abstract

Les modes de réalisation de la présente invention concernent un procédé et un appareil d'ajustement de regroupement d'applications, un support de stockage et un dispositif électronique. Le procédé d'ajustement de regroupement d'applications comprend les étapes consistant à : obtenir un emplacement géographique actuel ; sur la base dudit emplacement géographique, obtenir des informations d'utilisation relatives à chaque application pendant une période historique ; déterminer un instant actuel ; sur la base desdites informations d'utilisation, ajuster un niveau de priorité pour chaque application à l'instant actuel ; et, sur la base des niveaux de priorité, ajuster des applications parmi une pluralité d'applications devant être regroupées par le dispositif.
PCT/CN2018/125626 2018-12-29 2018-12-29 Procédé et appareil d'ajustement de regroupement d'applications, support de stockage et dispositif électronique WO2020133413A1 (fr)

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CN201880099432.9A CN112997543B (zh) 2018-12-29 2018-12-29 应用分组调整方法、装置、存储介质及电子设备
PCT/CN2018/125626 WO2020133413A1 (fr) 2018-12-29 2018-12-29 Procédé et appareil d'ajustement de regroupement d'applications, support de stockage et dispositif électronique

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