CN104361465A - Log analysis method and device - Google Patents
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Abstract
The invention discloses a log analysis method and device. The log analysis method comprises the steps that log information is obtained, statistical analysis is conducted on the log information with time as a clue, so that use information of users is obtained; wherein the use information comprises the information of application use habits, the information of battery use habits, the information of terminal use habits, the information of power consumption of the applications and the like. In this way, big data of the use information of the user can be used as reference by all the units so that project investment, project research and development and other activities can be conducted by the units in a targeted mode. The log analysis method and device are oriented to the whole Android system, statistical analysis of the use information of the users of Android system terminals can be conducted without the need for limits such as the limit of authorities, and the log analysis method and device are universal for the Android system platforms.
Description
Technical field
The present invention relates to communication technical field, especially relate to a kind of log analysis method and device.
Background technology
Terminal is in operational process, and meeting generating log information, have recorded the data such as the ruuning situation of terminal and application wherein in this log information.Inventor is through carefully studying discovery, if can carry out statistical study in some way to these data, just can obtain the user having reference value uses information, uses information can carry out the activity such as project investment, Project-developing targetedly according to user.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of log analysis method and device, is intended to from log information, obtain valuable data, for the activity such as project investment, Project-developing provides reference.
To achieve these objectives, the present invention proposes a kind of log analysis method, comprises step:
Obtain log information;
Be that clue carries out statistical study to described log information with time, obtain the use information of user.
Preferably, described use information comprises the habits information using application, and described is that clue comprises the use information that described log information carries out statistical study acquisition user with time:
Statistical study is carried out to the start-up time respectively applied in described log information and shut-in time, obtains the habits information that user uses each application.
Preferably, described use the habits information of application to comprise to use application duration information, period information is or/and frequency information.
Preferably, described use information comprises the habits information using battery, and described is that clue comprises the use information that described log information carries out statistical study acquisition user with time:
Statistical study is carried out to the battery using state of each time period in described log information, obtains the habits information that user uses battery.
Preferably, described use information comprises the habits information using terminal, and described is that clue comprises the use information that described log information carries out statistical study acquisition user with time:
Statistical study is carried out to lighting time of terminal screen in described log information and fall time, obtains the habits information that user uses terminal.
Preferably, described use information comprises the power consumption information of application, and described is that clue comprises the use information that described log information carries out statistical study acquisition user with time:
Statistical study is carried out to start-up time of application each in described log information and the electricity service condition of shut-in time and each time period, obtains the power consumption information of each application.
Preferably, described method also comprises: terminal carries out statistical study to described log information, obtains the use information of user, and described use information is uploaded onto the server.
Preferably, described method also comprises: server obtains the log information that terminal sends, and carries out statistical study to described log information, obtains the use information of user.
The present invention proposes a kind of log analysis device simultaneously, comprises acquisition module and analysis module, wherein:
Acquisition module, for obtaining log information;
Analysis module, for being that clue carries out statistical study to described log information with time, obtains the use information of user.
Preferably, described use information comprises the habits information using application, and described analysis module is used for: carry out statistical study to the start-up time respectively applied in described log information and shut-in time, obtains the habits information that user uses each application.
Preferably, described use the habits information of application to comprise to use application duration information, period information is or/and frequency information.
Preferably, described use information comprises the habits information using battery, and described analysis module is used for: carry out statistical study to the battery using state of each time period in described log information, obtains the habits information that user uses battery.
Preferably, described use information comprises and uses the habits information of terminal, and described analysis module is used for: carry out statistical study to lighting time of terminal screen in described log information and fall time, obtain the habits information that user uses terminal.
Preferably, described use information comprises the power consumption information of application, and described analysis module is used for: carry out statistical study to start-up time of application each in described log information and the electricity service condition of shut-in time and each time period, obtain the power consumption information of each application.
Preferably, also comprise sending module, described sending module is used for described use information to upload onto the server.
A kind of log analysis method provided by the present invention, by obtaining the log information of terminal, and be that clue carries out statistical study to log information with time, from log information, obtain valuable user use information, this use information comprises the habits information using application, the habits information using battery, uses the habits information of terminal, the power consumption information etc. of application, make constituent parts can use the large data of information as a reference with user, carry out the activity such as project investment, Project-developing targetedly.The embodiment of the present invention, for whole android system, does not need the restrictions such as other authorities to get final product the use information of statistical study Android system terminal user, has the versatility of android system platform.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of log analysis method first embodiment of the present invention;
Fig. 2 be in the embodiment of the present invention in log information about application ruuning situation schematic diagram;
Fig. 3 is the process flow diagram of log analysis method second embodiment of the present invention;
Fig. 4 is the schematic diagram about battery using state in log information in the embodiment of the present invention;
Fig. 5 is another schematic diagram about battery using state in log information in the embodiment of the present invention;
Fig. 6 is the process flow diagram of log analysis method of the present invention 3rd embodiment;
Fig. 7 is the process flow diagram of log analysis method of the present invention 4th embodiment;
Fig. 8 is the module diagram of log analysis device one embodiment of the present invention.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Embodiment
Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Log analysis method of the present invention, first obtains the log information of terminal, and then is that clue carries out statistical study to log information with time, obtains the use information of user.Wherein, log information mainly comprises event (events) log information; The use information of user refers to the information produced after user uses terminal, comprise the habits information using application, the habits information using battery, use the habits information of terminal, the power consumption information etc. of application, and use the habits information of application to comprise the duration information, period information, frequency information etc. that use application.In the present invention, can be that terminal carries out statistical study to the log information of the machine, and use information to upload onto the server by analyzing the user obtained, server uses the large data of information based on user, can invest targetedly and development project etc.; Or, also directly can be uploaded onto the server by the log information of terminal by the machine, after server obtains the log information that one or more terminal uploads, statistical study is carried out to log information, obtain the use information of each terminal user, and based on the large data that user uses information, invest targetedly and development project etc.
Be described in detail below by way of specific embodiment.
See Fig. 1, propose log analysis method first embodiment of the present invention, described log analysis method comprises the following steps:
Step S10: obtain log information
When carrying out log analysis in terminal, terminal gathers the log information of the machine, and obtains this log information.When carrying out log analysis on the server, the log information of collection then uploads onto the server by terminal, and server obtains the log information that terminal sends.
In specific implementation, can install an apk in terminal, this apk, after acquisition user agrees to, carries out daily record collection and arranges on backstage startup service (service).This apk can select according to user " local collect, local analytics ", " analysis of raw data upload server ", each different options such as " local analytics data upload server " carry out corresponding operating.For android system, log information can be obtained by methods such as Android Runtime Process orders " logcat-v time-b events ".
Step S11: carry out statistical study to the start-up time respectively applied in log information and shut-in time, obtains the habits information that user uses each application
Can be undertaken by terminal the statistical study of daily record, also can be undertaken by server.Such as, when user selects " local collection, local analytics " or " local analytics data upload server " option, then statistical study is carried out by terminal; When selecting options such as " analyses of raw data upload server " as user, then carry out statistical study by server.
After terminal or server obtain log information, can be that clue carries out statistical study to the ruuning situation respectively applying (comprising each assembly) in log information, as the start-up time, shut-in time etc. of application with time.Concrete, by carrying out filtering statistical to key words such as time-based am_proc_start (process initiation), am_proc_bound (process binding) and am_proc_died (process is dead), obtaining the working time of each application, running period and running frequency.Be applied as example with qq, intercept a fragment in log information as follows:
09-06 10:06:04.614I/am_proc_start(1131)：[0，15708，10101，com.tencent.mobileqq，activity，com.tencent.mobileqq/.activity.SplashActivity]
09-06 10:06:04.624I/am_proc_bound(1131)：[0，15708，com.tencent.mobileqq]
09-06 10:06:27.514I/am_proc_died(1131)：[0，15708，com.tencent.mobileqq]
Wherein, in log information 15708 represent qq application process ID, com.tencent.mobileqq represents the Apply Names of qq application, .activity.SplashActivity current component is represented, am_proc_start (process initiation) represents the start-up time of qq application, and am_proc_died (process is dead) represents the shut-in time of qq application.By to start-up time of qq application in log information and shut-in time carrying out statistical study, user's (as a day, month, a year etc.) within the unit interval can be obtained and use the duration of qq application, period or/and frequency.By analyzing one by one each application, the duration information that acquisition user uses each to apply, period information are or/and frequency information, and can sort, thus can know that user uses than being which application more frequently, which which application that what service time was long is, uses apply in which usually time period.And use frequent degree to carry out rank to the popularity of each application or pouplarity by application.
Further, for certain application, statistical study can also be carried out to the start-up time at the appointment interface of this application and shut-in time, obtain user to the use habit information of this application.Equally for qq, intercepted a fragment of log information as shown in Figure 2, as seen from the figure, user, at xx time [time], starts or closes [action] and specify interface [screen].
When being obtained user by terminal statistical study and using the habits information of application, also this information can be uploaded onto the server.After user that is that server receives terminal transmission or that analyze acquisition uses the habits information of application, then can carry out the activity such as related development and investment targetedly according to this information.
See Fig. 3, propose log analysis method second embodiment of the present invention, described log analysis method comprises the following steps:
Step S20: obtain log information
Step S21: carry out statistical study to the battery using state of each time period in log information, obtains the habits information that user uses battery
Be the partial information about battery using state in log information as shown in Figure 4, Figure 5, wherein Fig. 5 is the corresponding relation of battery-using state (battery_status) and each numeral.As can be seen from the figure, the information such as the electricity of battery under each time period, voltage, charge condition.By statistical study, the habits information that user uses battery can be obtained, as fill once electricity with how long, the frequency of charging, which time period power consumption in electricity residue how many times charge etc. at most, usually.
When being obtained user by terminal statistical study and using the habits information of battery, also this information can be uploaded onto the server.After user that is that server receives terminal transmission or that analyze acquisition uses the habits information of battery, then can carry out the activity such as related development and investment targetedly according to this information.
See Fig. 6, propose log analysis method of the present invention 3rd embodiment, described log analysis method comprises the following steps:
Step S30: obtain log information
Step S31: carry out statistical study to lighting time of terminal screen in log information and fall time, obtains the habits information that user uses terminal
Such as, light about terminal screen in log information and the partial information extinguished as follows:
10-31 00:02:47.063 I/screen_toggled( 1018)： 1
10-31 00:02:47.183 I/screen_toggled( 1018)： 0
10-31 00:05:26.503 I/screen_toggled( 1018)： 1
10-31 00:11:21.323 I/screen_toggled( 1018)： 0
10-31 00:11:23.223 I/screen_toggled( 1018)： 1
Which show lighting time and the fall time of screen, 0 represents the screen (screen extinguishing) that goes out, 1 representative point bright screen (lighting screen).The bright screen that can obtain mobile phone every day according to the time point of screen_toggled goes out screen situation, as bright screen go out screen frequency, bright screen duration, once go out screen duration, bright screen T.T., go out screen T.T. etc., thus obtain the habits information that user uses terminal.
When being obtained user by terminal statistical study and using the habits information of terminal, also this information can be uploaded onto the server.After user that is that server receives terminal transmission or that analyze acquisition uses the habits information of terminal, then can carry out the activity such as related development and investment targetedly according to this information.
See Fig. 7, propose log analysis method of the present invention 4th embodiment, described log analysis method comprises the following steps:
Step S40: obtain log information
Step S41: statistical study is carried out to start-up time of application each in log information and the electricity service condition of shut-in time and each time period, obtains the power consumption information of each application
According to the electricity service condition (or battery drain situation) of each time period, and the start-up time of each application and shut-in time, then can inquire which application of fixed time section and consume how many electricity, through statistical study, then can obtain the power consumption information of each application.And statistical study can be carried out for abnormal power consumption information, can obtain the application that conventional power consumption is large, or sort to the power consumption of each application, know which application power consumption is comparatively large, which application power consumption is less.
When obtaining the power consumption information of application by terminal statistical study, also this information can be uploaded onto the server.Server then can carry out the activity such as related development and investment according to this information after receiving the power consumption information of application that is that terminal sends or analysis acquisition targetedly.
Applied the analysis that the users such as power consumption condition of single application ruuning situation, overall operation situation, system power consumption condition, each application in systems in which use information by each in each terminal to user feedback under large data platform, the activity such as related development and investment can be carried out very targetedly.For example:
1), user is used to the habits information of application.
Application developer, by single application ruuning situation, is corresponding UE and is optimized.Such as whether there are the backstage of unnecessary operation, networking situation optimization, enter path, appointed function interface and whether can improve.
Large data analysis team, based on the popular terminal use habit of these data analyses, can include but not limited to the use habits such as chat, shopping, game, information, provides commercial plan and government policy to provide Data support to relevant departments and team.As by the analysis to each chat software, can be each chat software market share situation analysis, the popular social situation in a certain region can be obtained, put into effect for departments of government and improve interpersonal relation, promote social harmony etc. policy provides reference; By the analysis to each shopping application use habit such as Taobao, Jingdone district, can carry out the activities such as various sales promotion for electric business provides data reference; By the analysis to game application use habit, type of play development decision-making can be provided for game developer, throw in advertisement for advertiser and data reference is provided.
Android system research team, can obtain current application popularity after usage data rank, carry out trend study.
2) user is used to the habits information of terminal.
Go out for terminal bright screen and shield time curve analysis, obtain each user daily schedule information, be supplied to society as common data, each businessman can carry out corresponding business activity according to the popular daily schedule.
3) user is used to the power consumption information of the habits information of battery and each application.
Power supply power consumption team can consider effectively to forbid running background for power consumption rich and influential family application, reaches complete machine power saving effect.Such as: in 10 minutes, electricity reduces 5%, can as the basis for estimation of the large data of power consumption.
System development business is by overall operation situation, and obtain the power consumption condition of each application, optimization system performance, provides better Consumer's Experience.
Thus, log analysis method of the present invention, by obtaining the log information of terminal, and be that clue carries out statistical study to log information with time, thus obtain the use information of user, this use information comprises the habits information using application, the habits information using battery, uses the habits information of terminal, the power consumption information etc. of application, makes constituent parts can use the large data of information as a reference with user, carries out the activity such as project investment, Project-developing targetedly.The embodiment of the present invention, for whole android system, does not need the restrictions such as other authorities to get final product the use information of statistical study Android system terminal user, has the versatility of android system platform.
See Fig. 8, propose log analysis one embodiment of the present invention, described log analysis device can be applied to terminal, as the mobile terminal such as mobile phone, flat board or personal computer terminal etc., also can be applied to server, as cloud server etc.Described log analysis device comprises acquisition module and analysis module.
Acquisition module: for obtaining log information.Described log information mainly comprises event (events) log information.
When daily record analytical equipment is applied to terminal, acquisition module obtains the log information of terminal.For android system, acquisition module can obtain log information by methods such as Android Runtime Process orders " logcat-v time-b events ".
When daily record analytical equipment is applied to server, acquisition module then obtains the log information that terminal is sent to server.
Analysis module: for being that clue carries out statistical study to log information with time, obtain the use information of user.The use information of user comprises the habits information using application, the habits information using battery, uses the habits information of terminal, the power consumption information etc. of application.
In certain embodiments, analysis module can carry out statistical study to the start-up time of application each in log information and shut-in time, obtains the habits information that user uses each application.Wherein, use the habits information of application to comprise and use duration information, period information or the frequency information applied.
Concrete, by carrying out filtering statistical to key words such as time-based am_proc_start (process initiation), am_proc_bound (process binding) and am_proc_died (process is dead), obtaining the working time of each application, running period and running frequency.Be applied as example with qq, intercept a fragment in log information as follows:
09-06 10:06:04.614I/am_proc_start(1131)：[0，15708，10101，com.tencent.mobileqq，activity，com.tencent.mobileqq/.activity.SplashActivity]
09-06 10:06:04.624I/am_proc_bound(1131)：[0，15708，com.tencent.mobileqq]
09-06 10:06:27.514I/am_proc_died(1131)：[0，15708，com.tencent.mobileqq]
Wherein, in log information 15708 represent qq application process ID, com.tencent.mobileqq represents the Apply Names of qq application, .activity.SplashActivity current component is represented, am_proc_start (process initiation) represents the start-up time of qq application, and am_proc_died (process is dead) represents the shut-in time of qq application.By to start-up time of qq application in log information and shut-in time carrying out statistical study, user's (as a day, month, a year etc.) within the unit interval can be obtained and use the duration of qq application, period or/and frequency.By analyzing one by one each application, the duration information that acquisition user uses each to apply, period information are or/and frequency information, and can sort, thus can know that user uses than being which application more frequently, which which application that what service time was long is, uses apply in which usually time period.And use frequent degree to carry out rank to the popularity of each application or pouplarity by application.
Further, for certain application, statistical study can also be carried out to the start-up time at the appointment interface of this application and shut-in time, obtain user to the use habit information of this application.Equally for qq, intercepted a fragment of log information as shown in Figure 2, as seen from the figure, user, at xx time [time], starts or closes [action] and specify interface [screen].
In further embodiments, analysis module can carry out statistical study to the battery using state of each time period in log information, obtains the habits information that user uses battery.Concrete, be the partial information about battery using state in log information as shown in Figure 4, Figure 5, wherein Fig. 5 is the corresponding relation of battery-using state (battery_status) and each numeral.As can be seen from the figure, the information such as the electricity of battery under each time period, voltage, charge condition.By statistical study, the habits information that user uses battery can be obtained, as fill once electricity with how long, the frequency of charging, which time period power consumption in electricity residue how many times charge etc. at most, usually.
Also have in some embodiments, analysis module can carry out statistical study to the lighting time of terminal screen in log information and fall time, obtains the habits information that user uses terminal.Such as, light about terminal screen in log information and the partial information extinguished as follows:
10-31 00:02:47.063 I/screen_toggled( 1018)： 1
10-31 00:02:47.183 I/screen_toggled( 1018)： 0
10-31 00:05:26.503 I/screen_toggled( 1018)： 1
10-31 00:11:21.323 I/screen_toggled( 1018)： 0
10-31 00:11:23.223 I/screen_toggled( 1018)： 1
Which show lighting time and the fall time of screen, 0 represents the screen (screen extinguishing) that goes out, 1 representative point bright screen (lighting screen).The bright screen that can obtain mobile phone every day according to the time point of screen_toggled goes out screen situation, as bright screen go out screen frequency, bright screen duration, once go out screen duration, bright screen T.T., go out screen T.T. etc., thus obtain the habits information that user uses terminal.
In certain embodiments, analysis module can also carry out statistical study to start-up time of application each in log information and the electricity service condition of shut-in time and each time period, obtains the power consumption information of each application.Concrete, analysis module is according to the electricity service condition (or battery drain situation) of each time period, and the start-up time of each application and shut-in time, then can inquire which application of fixed time section and consume how many electricity, through statistical study, then can obtain the power consumption information of each application.And statistical study can be carried out for abnormal power consumption information, can obtain the application that conventional power consumption is large, or sort to the power consumption of each application, know which application power consumption is comparatively large, which application power consumption is less.
Further, when daily record analytical equipment is applied to terminal, can also comprise a sending module, this sending module is used for the use information of user to upload onto the server.Server then can carry out the activity such as related development and investment according to this information after receiving the use information of user that is that terminal sends or analysis acquisition targetedly.
Log analysis device of the present invention, by obtaining the log information of terminal, and be that clue carries out statistical study to log information with time, thus obtain the use information of user, this use information comprises the habits information using application, the habits information using battery, uses the habits information of terminal, the power consumption information etc. of application, make constituent parts can use the large data of information as a reference with user, carry out the activity such as project investment, Project-developing targetedly.The embodiment of the present invention, for whole android system, does not need the restrictions such as other authorities to get final product the use information of statistical study Android system terminal user, has the versatility of android system platform.
It should be noted that: the log analysis device that above-described embodiment provides, when carrying out log analysis, is only illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and being completed by different functional modules.In addition, the log analysis device that above-described embodiment provides and log analysis method embodiment belong to same design, and its specific implementation process refers to embodiment of the method, and the technical characteristic in embodiment of the method is all corresponding applicable in device embodiment, repeats no more here.
One of ordinary skill in the art will appreciate that, realize the hardware that all or part of step in above-described embodiment method can control to be correlated with by program to complete, described program can be stored in a computer read/write memory medium, and described storage medium can be ROM/RAM, disk, CD etc.
Above with reference to the accompanying drawings of the preferred embodiments of the present invention, not thereby limit to interest field of the present invention.Those skilled in the art do not depart from the scope and spirit of the present invention, and multiple flexible program can be had to realize the present invention, and the feature such as an embodiment can be used for another embodiment and obtains another embodiment.All use do within technical conceive of the present invention any amendment, equivalently replace and improve, all should within interest field of the present invention.
Claims (15)
1. a log analysis method, is characterized in that, comprises step:
Obtain log information;
Be that clue carries out statistical study to described log information with time, obtain the use information of user.
2. log analysis method according to claim 1, is characterized in that, described use information comprises the habits information using application, and described is that clue comprises the use information that described log information carries out statistical study acquisition user with time:
Statistical study is carried out to the start-up time respectively applied in described log information and shut-in time, obtains the habits information that user uses each application.
3. log analysis method according to claim 2, is characterized in that, the habits information of described use application comprises the duration information of use application, period information or/and frequency information.
4. log analysis method according to claim 1, is characterized in that, described use information comprises the habits information using battery, and described is that clue comprises the use information that described log information carries out statistical study acquisition user with time:
Statistical study is carried out to the battery using state of each time period in described log information, obtains the habits information that user uses battery.
5. log analysis method according to claim 1, is characterized in that, described use information comprises the habits information using terminal, and described is that clue comprises the use information that described log information carries out statistical study acquisition user with time:
Statistical study is carried out to lighting time of terminal screen in described log information and fall time, obtains the habits information that user uses terminal.
6. log analysis method according to claim 1, is characterized in that, described use information comprises the power consumption information of application, and described is that clue comprises the use information that described log information carries out statistical study acquisition user with time:
Statistical study is carried out to start-up time of application each in described log information and the electricity service condition of shut-in time and each time period, obtains the power consumption information of each application.
7. the log analysis method according to any one of claim 1-6, is characterized in that, described method also comprises: terminal carries out statistical study to described log information, obtains the use information of user, and described use information is uploaded onto the server.
8. the log analysis method according to any one of claim 1-6, is characterized in that, described method also comprises: server obtains the log information that terminal sends, and carries out statistical study to described log information, obtains the use information of user.
9. a log analysis device, is characterized in that, comprises acquisition module and analysis module, wherein:
Acquisition module, for obtaining log information;
Analysis module, for being that clue carries out statistical study to described log information with time, obtains the use information of user.
10. log analysis device according to claim 9, it is characterized in that, described use information comprises the habits information using application, described analysis module is used for: carry out statistical study to the start-up time respectively applied in described log information and shut-in time, obtains the habits information that user uses each application.
11. log analysis devices according to claim 10, is characterized in that, the habits information of described use application comprises the duration information of use application, period information or/and frequency information.
12. log analysis devices according to claim 9, it is characterized in that, described use information comprises the habits information using battery, described analysis module is used for: carry out statistical study to the battery using state of each time period in described log information, obtains the habits information that user uses battery.
13. log analysis devices according to claim 9, it is characterized in that, described use information comprises the habits information using terminal, described analysis module is used for: carry out statistical study to lighting time of terminal screen in described log information and fall time, obtains the habits information that user uses terminal.
14. log analysis devices according to claim 9, it is characterized in that, described use information comprises the power consumption information of application, described analysis module is used for: carry out statistical study to start-up time of application each in described log information and the electricity service condition of shut-in time and each time period, obtain the power consumption information of each application.
15. log analysis devices according to any one of claim 9-14, is characterized in that, also comprise sending module, and described sending module is used for described use information to upload onto the server.
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| CN105653434A (en) * | 2015-12-25 | 2016-06-08 | 小米科技有限责任公司 | Method and apparatus for performing tracking processing on use of application |
| CN106527661A (en) * | 2016-10-31 | 2017-03-22 | 乐视控股（北京）有限公司 | Power management method and apparatus for terminal device |
| CN107291603A (en) * | 2017-06-22 | 2017-10-24 | 广东欧珀移动通信有限公司 | Power consumption daily record analytic method, device, mobile terminal and readable storage medium storing program for executing |
| CN107729225A (en) * | 2017-10-27 | 2018-02-23 | 上海斐讯数据通信技术有限公司 | A kind of terminal device heart rate acquisition method and system |
| CN108874572A (en) * | 2018-05-14 | 2018-11-23 | 北京小米移动软件有限公司 | Detection method, device, server and the storage medium of abnormal power consumption |
| CN108922590A (en) * | 2017-05-11 | 2018-11-30 | 杭州九阳小家电有限公司 | Based on the recipe recommendation method and service robot for having screen electronic equipment |
| CN109711805A (en) * | 2018-12-20 | 2019-05-03 | 惠州Tcl移动通信有限公司 | A kind of automation generates the system and method for report |
| US20190156017A1 (en) * | 2016-10-14 | 2019-05-23 | Jrd Communication (Shenzhen) Ltd | Terminal and method for managing launch of an application of a terminal |
| CN109995943A (en) * | 2019-03-28 | 2019-07-09 | 维沃移动通信有限公司 | A kind of information processing method and terminal device |
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| CN105653434A (en) * | 2015-12-25 | 2016-06-08 | 小米科技有限责任公司 | Method and apparatus for performing tracking processing on use of application |
| US20190156017A1 (en) * | 2016-10-14 | 2019-05-23 | Jrd Communication (Shenzhen) Ltd | Terminal and method for managing launch of an application of a terminal |
| US11816200B2 (en) * | 2016-10-14 | 2023-11-14 | Jrd Communication (Shenzhen) Ltd | Terminal and method for managing launch of an application of a terminal |
| CN106527661A (en) * | 2016-10-31 | 2017-03-22 | 乐视控股（北京）有限公司 | Power management method and apparatus for terminal device |
| CN108922590A (en) * | 2017-05-11 | 2018-11-30 | 杭州九阳小家电有限公司 | Based on the recipe recommendation method and service robot for having screen electronic equipment |
| CN107291603A (en) * | 2017-06-22 | 2017-10-24 | 广东欧珀移动通信有限公司 | Power consumption daily record analytic method, device, mobile terminal and readable storage medium storing program for executing |
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| CN108874572A (en) * | 2018-05-14 | 2018-11-23 | 北京小米移动软件有限公司 | Detection method, device, server and the storage medium of abnormal power consumption |
| CN109711805A (en) * | 2018-12-20 | 2019-05-03 | 惠州Tcl移动通信有限公司 | A kind of automation generates the system and method for report |
| CN109995943A (en) * | 2019-03-28 | 2019-07-09 | 维沃移动通信有限公司 | A kind of information processing method and terminal device |
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Application publication date: 20150218 |