CN107809542A - application control method, device, storage medium and electronic equipment - Google Patents
application control method, device, storage medium and electronic equipment Download PDFInfo
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- CN107809542A CN107809542A CN201711122479.6A CN201711122479A CN107809542A CN 107809542 A CN107809542 A CN 107809542A CN 201711122479 A CN201711122479 A CN 201711122479A CN 107809542 A CN107809542 A CN 107809542A
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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
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
-
- 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
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72406—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by software upgrading or downloading
-
- 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
- H04W52/0209—Power saving arrangements in terminal devices
- H04W52/0261—Power saving arrangements in terminal devices managing power supply demand, e.g. depending on battery level
- H04W52/0264—Power saving arrangements in terminal devices managing power supply demand, e.g. depending on battery level by selectively disabling software applications
-
- 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
-
- 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
Abstract
The embodiment of the present application discloses a kind of application control method, device, storage medium and electronic equipment；Methods described includes：Obtain the current running status of destination application, and judge whether state meets preparatory condition, if, then obtain the operational factor of electronic equipment, operational factor includes current time, foreground application, dump energy, bright screen duration, charged state and network connection state, training sample is generated according to operational factor, default Bayesian model is trained using training sample, destination application is controlled based on the Bayesian model after training.The application can preferably predict whether the application program needs to clear up according to the service condition of conventional application program, and method is simple, and flexibility is high, and can reduce the power consumption of electronic equipment, so as to lift the endurance of electronic equipment.
Description
Technical field
The application is related to electronic device field, and in particular to a kind of application control method, device, storage medium and electricity
Sub- equipment.
Background technology
With the development of terminal technology, terminal have begun to from simply provided in the past verbal system become gradually one it is logical
With the platform of running software.The platform no longer to provide call management as main purpose, and be to provide one include call management,
Running environment including the types of applications softwares such as Entertainment, office account, mobile payment, it is deep with substantial amounts of popularization
Enter to the every aspect of the life of people, work.
At present, use of the people for mobile phone is more and more frequent, makes a phone call, sends short messages, playing games, listening music etc. for hand
The consumption of electromechanics amount is increasing.Wherein, many people like having on earphone before sleep listens music, radio or sees video
Deng some audiovisual applications.But many times just unawares fallen asleep when listening, cause these in mobile phone should
Bolt down procedure is actively removed with running up to always after you wake up, electricity is consumed very much, certain pressure can be brought to the continuation of the journey of terminal.
The content of the invention
The embodiment of the present application provides a kind of application control method, device, storage medium and electronic equipment, can reduce
The power consumption of electronic equipment.
In a first aspect, the embodiment of the present application provides a kind of application control method, including：
The current running status of destination application is obtained, and judges whether the state meets preparatory condition；
If so, then obtain the operational factor of the electronic equipment, the operational factor include current time, foreground application,
Dump energy, bright screen duration, charged state and network connection state；
Training sample is generated according to the operational factor；
Default Bayesian model is trained using the training sample；
The destination application is controlled based on the Bayesian model after training.
Second aspect, the embodiment of the present application additionally provide a kind of application program controlling device, including：Judge module, acquisition
Module, generation module, training module and control module；
The judge module, the running status current for obtaining destination application, and judge whether the state is full
Sufficient preparatory condition；
The acquisition module, for obtaining the operational factor of the electronic equipment when the state meets preparatory condition,
The operational factor includes current time, foreground application, dump energy, bright screen duration, charged state and network connection shape
State；
The generation module, for generating training sample according to the operational factor；
The training module, for being trained using the training sample to default Bayesian model；
The control module, for being controlled based on the Bayesian model after training to the destination application.
The third aspect, the embodiment of the present application also provide a kind of storage medium, are stored thereon with computer program, the calculating
The step of machine program realizes above-mentioned application control method when being executed by processor.
Fourth aspect, the embodiment of the present application also provide a kind of electronic equipment, including memory, processor and are stored in storage
Above-mentioned application program control is realized on device and the computer program that can run on a processor, during the computing device described program
The step of method processed.
The application control method that the embodiment of the present application provides obtains the current running status of destination application first,
And judge whether state meets preparatory condition, if so, the operational factor of electronic equipment is then obtained, when operational factor includes current
Between, foreground application, dump energy, bright screen duration, charged state and network connection state, according to operational factor generate train
Sample, default Bayesian model is trained using training sample, based on the Bayesian model after training to intended application
Program is controlled.The application can preferably be predicted according to the service condition of conventional application program the application program whether needs
Cleaning, method is simple, and flexibility is high, and can reduce the power consumption of electronic equipment, so as to lift the continuation of the journey energy of electronic equipment
Power.
Brief description of the drawings
In order to illustrate more clearly of the technical scheme in the embodiment of the present application, make required in being described below to embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present application, for
For those skilled in the art, on the premise of not paying creative work, it can also be obtained according to these accompanying drawings other attached
Figure.
Fig. 1 is the system schematic for the application program controlling device that the embodiment of the present application provides.
Fig. 2 is a kind of schematic flow sheet for the application control method that the embodiment of the present application provides.
Fig. 3 is another schematic flow sheet for the application control method that the embodiment of the present application provides.
Fig. 4 is a kind of structural representation for the application program controlling device that the embodiment of the present application provides.
Fig. 5 is another structural representation for the application program controlling device that the embodiment of the present application provides.
Fig. 6 is a kind of structural representation for the electronic equipment that the embodiment of the present application provides.
Fig. 7 is another structural representation for the electronic equipment that the embodiment of the present application provides.
Embodiment
Schema is refer to, wherein identical element numbers represent identical component, and the principle of the application is to implement one
Illustrated in appropriate computing environment.The following description is based on illustrated the application specific embodiment, and it should not be by
It is considered as limitation the application other specific embodiments not detailed herein.
In the following description, the specific embodiment of the application is by with reference to as the step performed by one or multi-section computer
And symbol illustrates, unless otherwise stating clearly.Therefore, these steps and operation will have to mention for several times is performed by computer, this paper institutes
The computer of finger, which performs, to be included by representing with the computer processing unit of the electronic signal of the data in a structuring pattern
Operation.The data or the opening position being maintained in the memory system of the computer are changed in this operation, and its is reconfigurable
Or change the running of the computer in a manner of known to the tester of this area in addition.The data structure that the data are maintained
For the provider location of the internal memory, it has the particular characteristics as defined in the data format.But the application principle is with above-mentioned text
Word illustrates that it is not represented as a kind of limitation, this area tester will appreciate that plurality of step as described below and behaviour
Also may be implemented among hardware.
The principle of the application is grasped using many other wide usages or specific purpose computing, communication environment or configuration
Make.The example of the known arithmetic system for being suitable for the application, environment and configuration may include (but not limited to) hold phone,
Personal computer, server, multicomputer system, system, body frame configuration computer and distributed arithmetic ring based on micro computer
Border, which includes any said system or device.
It will be described in detail respectively below.
The present embodiment will be described from the angle of application program controlling device, and the device can specifically be integrated in electronics and set
In standby, the electronic equipment can connect the network equipment (such as smart mobile phone, tablet personal computer) for mobile internet and possess network service work(
The electronic equipment of energy.
Referring initially to Fig. 1, Fig. 1 is the system schematic for the application program controlling device that the embodiment of the present application provides.It should answer
It is mainly used in presetting apparatus：The operational factor of electronic equipment is extracted among user behavior data, according to operational factor
Training sample is generated, default Bayesian model is trained using training sample, last can is based on the shellfish after training
This model of leaf is controlled to destination application, such as application program is cleared up or freezed.
With continued reference to Fig. 2, Fig. 2 is a kind of schematic flow sheet for the application control method that the embodiment of the present application provides,
Comprise the following steps：
Step S101, obtain the current running status of destination application.
Among practical application, by taking the smart machine based on Android system as an example, all are all that software process event is touched
Caused by starting from row backstage.Because the management of process mechanism of Android system is event-triggered, for example, during start, open certain
During application process, network connection change when, not enough power supply when, time change, when plugging in, deenergization when etc. these shapes
The change of state can all regard an event as, and after Android system allows program to associate these events, such as association power-on event, just
Equivalent to our starting up generally.But Android system can allow a program to associate multiple events, with
Google Maps is illustrated, and the trigger event that it is associated has " after start, installation procedure, Uninstaller, more new procedures, plug in " etc.
Deng, any one state in these events changes, system will AutoBackground operation Google Maps.Many software installations
Self-starting item caused by after complete, can voluntarily start the process of itself according to different trigger conditions.Each application in terminal
Program will be recorded in launching process by management of process mechanism.
Wherein, the current running status of each application program can be obtained by management of process mechanism, the management of process machine
System can include an application manager, and each application program in terminal is record among above-mentioned application manager
Usage record, the usage record can include the run time of application program, and certain usage record can also include application
Other use informations of program, for example, automatically wake up the time, using the opening time, using the shut-in time, apply in running background
Time etc..
Step S102, judges whether above-mentioned state meets preparatory condition, if so, step S103 is then performed, if it is not, then terminating
Current process.
In embodiments of the present invention, destination application is audio frequency and video class application, therefore when the destination application is being transported
During row state, it is also necessary to further determine that whether the application program is playing audio or video.If, it is determined that the application program
Meet preparatory condition, if not satisfied, then terminating current process.
Step S103, the operational factor of the electronic equipment is obtained, the operational factor includes current time, foreground is answered
With, dump energy, bright screen duration, charged state and network connection state.
In one embodiment, above-mentioned current time can be x points when showing as the x x x month, x day of form.The charging connection
State and network connection state may each comprise connection and be not connected with two kinds of situations.
In actual application, the operational factor can obtain in real time, for example reach sampling time point when being current
Between carry out the acquisition operations of corresponding data or disposably obtain, for example electronic equipment can shift to an earlier date in local data
In storehouse in the log history period each time light on and off screen delta data, charged state delta data, network state delta data and
Using data are opened, afterwards, the operational factor of electronic equipment can be disposably extracted according to current time.
Step S104, training sample is generated according to operational factor.
In one embodiment, above-mentioned steps can specifically include:
1-1, date collected type and sampling periods determined according to the current time.
In the present embodiment, the date collected type is to dividing weekly, and it can include working day and weekend.This is adopted
The sample period is to dividing daily, and it can be divided into 48 periods by one day.
1-2, determine default electricity scope belonging to the dump energy, and determine this default belonging to bright screen duration when
Long scope.
In the present embodiment, default the electricity scope and preset duration scope can be manually set, the default electricity scope
Three interval ranges for indicating high electricity, middle electricity and low battery can be included, for example high electricity can be 70%-100%, in
Electricity can be 40%-70%, and low battery can be 0-40% etc., and the preset duration scope can include instruction short, medium, and long
Three interval ranges, for example length can be more than 10min, in can be 5-10min, short can be 0-5min.
1-3, according to the date collected type, sampling periods, default electricity scope, preset duration scope, foreground application, fill
Status of electrically connecting and network connection state generation training sample.
Among an embodiment, above-mentioned steps 1-3 can specifically include：
1-3-1, the upper switching application that the foreground application is determined according to the current time from operational factor and it is lower all
Change application.
In the present embodiment, because the foreground application that sampling obtains every time in historical period is all known, therefore for any
The foreground application of acquisition is once sampled, the different foreground applications obtained before current time are construed as current foreground should
Upper switching application, the different foreground applications obtained after current time are construed as under current foreground application
One switching application, generally, the different foreground applications nearest from current time can be taken as upper one switching application and next switching
Using.In actual mechanical process, first all foreground applications can be ranked up according to current time, for any after sequence
Three adjacent different foreground applications, foreground application above can be applied as a upper switching for the foreground application of centre, after
The foreground application in face can be as next switching application of the foreground application of centre.
1-3-2, the prediction of the destination application determined according to current time, next switching application and foreground application
Value.
In the present embodiment, the predicted value can be the numerical value being manually set, such as 0 and 1, wherein, 0 can represent the target
Application program can be cleared up, and 1 can represent that the destination application cannot be cleared up.Due to being adopted in historical period
All foreground applications of collection are all known, therefore can determine intended application according to known foreground application and current time
The predicted value of program.
1-3-3, according to a switching application on this, foreground application, date collected type, sampling periods, preset electricity scope,
Preset duration scope, charging connection state, network connection state, target prediction application and predicted value generation training sample.
In the present embodiment, to be analyzed from multiple dimensions user behavior, so that the machine learning model trained is more
Personalize, each training sample can be made up of the data of multiple known features items and tag entry, and the known features item can be with
Including a switching application on this, foreground application, date collected type, sampling periods, preset electricity scope, preset duration scope,
Charging connection state and network connection state etc., the tag entry are mainly.
For example, above-mentioned steps 1-3-3 can specifically include：
Switching application, foreground application, date collected type, sampling periods, default electricity scope, in advance are obtained on this respectively
If duration scope, charging connection state, network connection state and characteristic value corresponding to target prediction application；
According to this feature value and predicted value generation training sample.
In the present embodiment, because computer program is typically run with the form coding of character, therefore this feature value mainly can be with
Showing as the form of Arabic numerals or letter, such as 1-10, each characteristic item can also show as the form of letter, such as before
For platform using being H, date collected type is B, etc..When generating training sample, can directly using the characteristic value of characteristic item as
Priori conditions, using the predicted value of each destination application as posteriority result, generate the training sample.
It is easily understood that characteristic value corresponding to each characteristic item can be pre-set, the spy of different characteristic item
Value indicative can be with identical, can also be different, for example foreground application and the characteristic value of sampling periods can include 0~10, still, often
The meaning that individual numeral refers in different characteristic items is different, for example may refer to group of U.S. for foreground application, 0, for sampling
Period, 0 may refer to 0:00-1:00 this period.
Step S105, default Bayesian model is trained using training sample.
For example, this feature value can include (q1, q2…qm), the predicted value can include j1 and j2, now, above-mentioned steps
S105 can specifically include：
The predicted value is inputted in the first preset formula, obtains the probability of corresponding predicted value, first formula is：Wherein N (j1) represents the number that event j1 occurs, and N (j2) represents the number that event j2 occurs, P
(j2) probability that event j2 occurs is represented；
This feature value and predicted value are inputted in the second preset formula, obtain the probability of character pair value and predicted value, should
Second formula is：Wherein, 1≤k≤m, P (qi| j2) represent on the premise of event j2 occurs, thing
Part qiThe probability of generation, N (qi, j2) and represent event qiWith the simultaneous numbers of j2.
In the present embodiment, the Bayesian model can be：Wherein,
q1,q2…qmFor the characteristic value of priori conditions, J is the predicted value of target prediction application.Calculated to simplify, it is assumed that q1,q2…qmIt is
Separate, thenSo as to obtain Naive Bayes Classifier
Model：
JMAX=arg max P (J | q1, q2...qm)=arg maxP (q1|J)P(q2|J)...P(qm| J), wherein J can be with
J1 or j2 is represented, each characteristic item probable value is the statistical probability of occurrence number, namely above-mentioned formula：
Wherein, j1 is the first default value, and j2 is second pre-
If numerical value.Easily learn, the process for training Bayesian model is exactly the process of probability statistics, namely Bayesian model is trained
Afterwards, the probable value of different characteristic value in each characteristic item, such as P (q can be obtained1)、P（q1|j2)。
Step S106, destination application is controlled based on the Bayesian model after training.
Among an embodiment, above-mentioned steps can specifically include：
2-1, obtain application cleaning instruction.
In the present embodiment, application cleaning instruction can be that electronic equipment automatically generates, such as when reaching preset time
Section, EMS memory occupation amount reach certain limit, either not enough power supply or during the excessively slow speed of service etc., generate the application and clear up
Instruction, certainly, application cleaning instruction can also be the manually operated generations of user, for example user can be specified clear by clicking on
Reason icon instructs to generate application cleaning.
2-2, the destination application and current operation ginseng for obtaining the electronic equipment are instructed according to the application cleaning
Number.
2-3, calculate using the Bayesian model after training and current operational factor destination application clear up rate.
For example, above-mentioned steps 2-3 can specifically include：
Current characteristic value is determined according to current operational factor；
Current characteristic value is inputted in the 3rd preset formula and calculated, obtains that rate can be cleared up, the 3rd preset formula is：Wherein, 1≤k≤m, qkFor current characteristic value.
It is similar with training process in the present embodiment, current date collected first can be obtained according to current operational factor
Type, sampling periods, default electricity scope, preset duration scope, foreground application, charging connection state, network connection state with
And background application these characteristic items that need to currently predict, and obtain characteristic value q corresponding to these characteristic items1,q2…qm, it
Formula is utilized afterwards：
P(j2|q1, q2...qm)=P (j2) P (q1|j2)P(q2|j2)...P(qm| j2) sent out to calculate in current characteristic value
On the premise of life, the probable value for the probability (namely whether the destination application that need to currently predict needs to clear up) that j2 occurs, make
For rate can be cleared up.
2-4, according to this can the rate of clearing up close the destination application.
For example, above-mentioned steps 2-4 can specifically include：
When the destination application is when clearing up rate and being more than predetermined threshold value, the destination application is closed.
In the present embodiment, the predetermined threshold value can be manually set, for example the predetermined threshold value can be 0.5, namely when calculating
Go out P (j2 | q1, q2...qm) be more than 0.5 when, it is believed that the destination application can be cleared up, so can be used as cleaning
Object is cleared up.
In actual use, there may be the situation that the destination application is used in user, the mesh is now closed
Mark application program may influence user's use, therefore, among an embodiment, can also be generated before closing destination application
One prompt message is simultaneously shown in terminal screen, for example destination application is " XX music " player, and electronic equipment determines again
"No" button can be clicked on to prevent to close the target with pop-up " whether closing XX music ", user when clearing up the application program
Application program, if the pop-up ejects a preset time and do not receive user's operation after 10 seconds for example, can close the target should
Use program.
From the foregoing, it will be observed that the embodiment of the present application can obtain the current running status of destination application, and judge that state is
No to meet preparatory condition, if so, then obtaining the operational factor of electronic equipment, operational factor includes current time, foreground application, remained
Remaining electricity, bright screen duration, charged state and network connection state, training sample is generated according to operational factor, utilizes training
Sample is trained to default Bayesian model, and destination application is controlled based on the Bayesian model after training.
The application can preferably predict whether the application program needs to clear up according to the service condition of conventional application program, method letter
Single, flexibility is high, and can reduce the power consumption of electronic equipment, so as to lift the endurance of electronic equipment.
According to the description of a upper embodiment, illustrate the application control method of the application by further below.
Referring to Fig. 3, Fig. 3 is the schematic flow sheet for another application control method that the embodiment of the present application provides,
Comprise the following steps：
Step S201, electronic equipment obtain the current running status of destination application.
In one embodiment, the current running status of destination application can be obtained by management of process mechanism, and this enters
Thread management mechanism can include an application manager, record among above-mentioned application manager each in terminal
The usage record of application program, the usage record can include the run time of application program, and certain usage record can be with
Other use informations including application program, for example, automatically wake up the time, using the opening time, using the shut-in time, apply
Time of running background etc..
Step S202, electronic equipment judge whether destination application is currently in broadcast state, if so, then performing step
S203, if it is not, then terminating flow.
In embodiments of the present invention, destination application is audio frequency and video class application, therefore when the destination application is being transported
During row state, it is also necessary to further determine that whether the application program is playing audio or video.If, it is determined that the application program
Meet preparatory condition, if not satisfied, then terminating current process.
Step S203, electronic equipment obtain the operational factor of electronic equipment, and operational factor includes current time, foreground is answered
With, dump energy, bright screen duration, charged state and network connection state.
The operational factor can be extracted from database, and the past period can be stored with the database
The usage record applied in inner electronic equipment, including the light on and off record of screen, record of charging and WiFi linkage records, afterwards,
The operational factor of each sampling time point can be extracted according to these records.The charging connection state and network connection state are equal
It can include connecting and being not connected with two kinds of situations.
Step S204, electronic equipment determine date collected type and sampling periods according to current time, determine dump energy
Affiliated default electricity scope, and determine the preset duration scope belonging to bright screen duration.
For example, if 55 minutes when sampling time point is 17 days 10 October in 2017,48 periods can be divided into daily, then the same day
For Tuesday, its date collected type is working day, and sampling periods are the 11st period.If dump energy is 80%, it is default
Electricity may range from the high electricity corresponding to 70%-100%.If a length of 3min during bright screen, its preset duration scope can
Think growing in short-term corresponding to 0-5min.
Step S205, electronic equipment determined according to current time from operational factor foreground application upper switching application and
Next switching application.
For example, the destination application can be that user chooses, and can first obtain recent frequency of occurrences highest ten
The APP10 using APP1, APP2 ....First all foreground applications are ranked up according to sampling time point, for any after sequence
Three adjacent different foreground applications, foreground application above can be applied as a upper switching for the foreground application of centre, after
The foreground application in face can be as next switching application of the foreground application of centre, such as some sampling time point, foreground
Using that can be APP10, upper switching application can be APP1, and next switching application can be APP5.
Step S206, electronic equipment determine the mesh according to the current time, next switching application and foreground application
Mark the predicted value of application program.
Step S207, electronic equipment obtain respectively one switching application, foreground application, date collected type, sampling periods,
Default electricity scope, preset duration scope, charging connection state, network connection state and feature corresponding to destination application
Value.
For example, the corresponding relation of this feature value and characteristic item can be table 1 below：
Table 1
Step S208, electronic equipment generate training sample according to characteristic value and predicted value.
Step S209, electronic equipment inputs each training sample in default Bayesian model, to the Bayesian model
It is trained.
For example, this feature value can include (q1, q2…qm), the predicted value can include j1 and j2, now, above-mentioned steps
S209 can specifically include：
The predicted value is inputted in the first preset formula, obtains the probability of corresponding predicted value, first formula is：Wherein N (j1) represents the number that event j1 occurs, and N (j2) represents the number that event j2 occurs, P (j2)
The probability that expression event j2 occurs；
This feature value and predicted value are inputted in the second preset formula, obtain the probability of character pair value and predicted value, should
Second preset formula is：Wherein, 1≤i≤m, P (qi| j2) represent on the premise of event j2 occurs,
Event qiThe probability of generation, N (qi, j2) and represent event qiWith the simultaneous numbers of j2.
In the present embodiment, the Bayesian model can be：Wherein,
q1,q2…qmFor the characteristic value of priori conditions, J is the predicted value of target prediction application.Calculated to simplify, it is assumed that q1,q2…qmIt is
Separate, thenSo as to obtain Naive Bayes Classifier mould
Type：
JMAX=arg max P (J | q1, q2...qm)=arg maxP (q1|J)P(q2|J)...P(qm| J), wherein J can be with
J1 or j2 is represented, each characteristic item probable value is the statistical probability of occurrence number, namely above-mentioned formula：
Wherein, j1 is the first default value, and j2 is the second default value.Easily learn, train the process of Bayesian model
It is exactly the process of probability statistics, namely after being trained to Bayesian model, the general of different characteristic value in each characteristic item can be obtained
Rate value, such as P (q1)、P(q1|j2)。
Step S210, electronic equipment are controlled based on the Bayesian model after training to destination application.
Among an embodiment, what the above-mentioned Bayesian model based on after training was controlled to the destination application
Step can specifically include：
Obtain application cleaning instruction；
Instruction is cleared up according to application and obtains the destination application of electronic equipment and current operational factor；
Rate is cleared up using what the Bayesian model after training and current operational factor calculated destination application；
Destination application is closed according to rate can be cleared up.
Wherein, it is above-mentioned using training after Bayesian model and current operational factor calculate destination application can be clear
The step of reason rate, can include：
Current characteristic value is determined according to current operational factor；
Current characteristic value is inputted in the 3rd preset formula and calculated, obtains that rate can be cleared up, the 3rd preset formula is：Wherein, 1≤k≤m, qkFor current characteristic value.
It is similar with training process in the present embodiment, current date collected first can be obtained according to current operational factor
Type, sampling periods, default electricity scope, preset duration scope, foreground application, charging connection state, network connection state with
And background application these characteristic items that need to currently predict, and obtain characteristic value q corresponding to these characteristic items1,q2…qm, it
Formula is utilized afterwards：
P(j2|q1, q2...qm)=P (j2) P (q1|j2)P(q2|j2)...P(qm| j2) sent out to calculate in current characteristic value
On the premise of life, j2 occur probability (namely the background application that need to currently predict will not switch to foreground in a short time) it is general
Rate value, as rate can be cleared up.
In the present embodiment, the predetermined threshold value can be manually set, for example the predetermined threshold value can be 0.5, namely when calculating
Go out P (j2 | q1, q2...qm) be more than 0.5 when, it is believed that the destination application can be cleared up, so can be used as cleaning
Object is cleared up.
From the foregoing, it will be observed that the embodiment of the present application provides a kind of application control method, wherein electronic equipment can obtain mesh
The current running status of application program is marked, judges whether destination application is currently in broadcast state, if so, then obtaining electronics
The operational factor of equipment, operational factor include current time, foreground application, dump energy, bright screen duration, charged state and
Network connection state, date collected type and sampling periods are determined according to current time, determine the default electricity belonging to dump energy
Scope is measured, and determines the preset duration scope belonging to bright screen duration, foreground is determined from operational factor according to current time
The upper switching application of application and next switching are applied, true according to the current time, next switching application and foreground application
The predicted value of the fixed destination application, when obtaining upper switching application, foreground application, date collected type, sampling respectively
Corresponding to section, default electricity scope, preset duration scope, charging connection state, network connection state and destination application
Characteristic value, training sample is generated according to characteristic value and predicted value, each training sample is inputted in default Bayesian model, it is right
The Bayesian model is trained, and last electronic equipment is controlled based on the Bayesian model after training to destination application
System.The application can preferably predict whether the application program needs to clear up according to the service condition of conventional application program, method
Simply, flexibility is high, and can reduce the power consumption of electronic equipment, so as to lift the endurance of electronic equipment, saves
System resource, user experience are good.
For the ease of preferably implementing the application control method that the embodiment of the present application provides, the embodiment of the present application also carries
A kind of device based on above-mentioned application control method is supplied.Wherein in the implication of noun and above-mentioned application control method
Identical, specific implementation details may be referred to the explanation in embodiment of the method.
Referring to Fig. 4, Fig. 4 is a kind of structural representation for application program controlling device that the embodiment of the present application provides, should
Application program controlling device 30 includes：Judge module 301, acquisition module 302, generation module 303, training module 304 and control
Molding block 305；
The judge module 301, the running status current for obtaining destination application, and it is pre- to judge whether state meets
If condition；
The acquisition module 302, for obtaining the operational factor of electronic equipment, operation when above-mentioned state meets preparatory condition
Parameter includes current time, foreground application, dump energy, bright screen duration, charged state and network connection state；
The generation module 303, for generating training sample according to operational factor；
The training module 304, for being trained using training sample to default Bayesian model；
The control module 305, for being controlled based on the Bayesian model after training to destination application.
With continued reference to Fig. 5, among an embodiment, above-mentioned judge module 301 includes：Judging submodule 3011 and determination
Module 3012；
The judging submodule 3011, for judging whether destination application is currently in broadcast state；
The determination sub-module 3012, for when judging submodule 3011 is judged as YES, the state of determination to meet preparatory condition.
Further, above-mentioned generation module 303 can specifically include：First determination sub-module 3031, second determines submodule
Block 3032 and generation submodule 3033；
First determination sub-module 3031, for determining date collected type and sampling periods according to current time；
Second determination sub-module 3032, for determining the default electricity scope belonging to dump energy, and determine bright
Shield the preset duration scope belonging to duration；
The generation submodule 3033, for according to date collected type, sampling periods, default electricity scope, preset duration
Scope, foreground application, charging connection state and network connection state generation training sample.
From the foregoing, it will be observed that the application program controlling device 30 that the embodiment of the present application provides can be obtained by judge module 301
The current running status of destination application, and judge whether state meets preparatory condition, if so, then being obtained by acquisition module 302
The operational factor of electronic equipment is taken, operational factor includes current time, foreground application, dump energy, bright screen duration, charging shape
State and network connection state, generation module 303 generate training sample according to operational factor, and training module 304 utilizes and trains sample
This is trained to default Bayesian model, and control module 305 is based on the Bayesian model after training to destination application
It is controlled.The application can preferably predict whether the application program needs clearly according to the service condition of conventional application program
Reason, method is simple, and flexibility is high, and can reduce the power consumption of electronic equipment, so as to lift the endurance of electronic equipment.
The application also provides a kind of storage medium, is stored thereon with computer program, it is characterised in that computer program quilt
The application control method that implementation method embodiment provides during computing device.
The application also provides a kind of electronic equipment, including memory, and processor and storage on a memory and can handled
The computer program run on device, it is characterised in that the application program that implementation method embodiment provides during computing device program
Control method.
A kind of electronic equipment is also provided in the another embodiment of the application, the electronic equipment can be smart mobile phone, flat board
Apparatus such as computer.As shown in fig. 6, electronic equipment 400 includes processor 401, memory 402.Wherein, processor 401 and storage
Device 402 is electrically connected with.
Processor 401 is the control centre of electronic equipment 400, utilizes various interfaces and the whole electronic equipment of connection
Various pieces, by the application program of operation or load store in memory 402, and call and be stored in memory 402
Data, the various functions and processing data of electronic equipment are performed, so as to carry out integral monitoring to electronic equipment.
In the present embodiment, processor 401 in electronic equipment 400 can according to the steps, by one or one with
On application program process corresponding to instruction be loaded into memory 402, and be stored in memory by processor 401 to run
Application program in 402, so as to realize various functions：
The current running status of destination application is obtained, and judges whether the state meets preparatory condition；
If so, then obtain the operational factor of the electronic equipment, the operational factor include current time, foreground application,
Dump energy, bright screen duration, charged state and network connection state；
Training sample is generated according to the operational factor；
Default Bayesian model is trained using the training sample；
The destination application is controlled based on the Bayesian model after training.
Referring to Fig. 7, Fig. 7 is the electronic devices structure schematic diagram that the embodiment of the present application provides.The electronic equipment 500 can be with
Including radio frequency (RF, Radio Frequency) circuit 501, include one or more computer-readable recording mediums
Memory 502, input block 503, display unit 504, sensor 504, voicefrequency circuit 506, Wireless Fidelity (WiFi,
Wireless Fidelity) module 507, include one or the processor 508 and power supply of more than one processing core
509 grade parts.It will be understood by those skilled in the art that the electronic devices structure shown in Fig. 7 is not formed to electronic equipment
Limit, can include than illustrating more or less parts, either combine some parts or different parts arrangement.
Radio circuit 501 can be used for receive and send messages, or in communication process signal reception and transmission, especially, by base station
Downlink information receive after, transfer to one or more than one processor 508 handled；In addition, sent up data are related to
To base station.Generally, radio circuit 501 includes but is not limited to antenna, at least one amplifier, tuner, one or more vibrations
Device, subscriber identity module (SIM, Subscriber Identity Module) card, transceiver, coupler, low noise amplification
Device (LNA, Low Noise Amplifier), duplexer etc..In addition, radio circuit 501 can also pass through radio communication and network
Communicated with other equipment.The radio communication can use any communication standard or agreement, including but not limited to global mobile communication
System (GSM, Global System of Mobile communication), general packet radio service (GPRS, General
Packet Radio Service), CDMA (CDMA, Code Division Multiple Access), wideband code division it is more
Location (WCDMA, Wideband Code Division Multiple Access), Long Term Evolution (LTE, Long Term
Evolution), Email, Short Message Service (SMS, Short Messaging Service) etc..
Memory 502 can be used for storage application program and data.Include and can hold in the application program that memory 502 stores
Line code.Application program can form various functions module.Processor 508 is stored in the application journey of memory 502 by operation
Sequence, so as to perform various function application and data processing.Memory 502 can mainly include storing program area and data storage
Area, wherein, storing program area can storage program area, needed at least one function application program (such as sound-playing function,
Image player function etc.) etc.；Storage data field can store uses created data (such as audio number according to electronic equipment
According to, phone directory etc.) etc..In addition, memory 502 can include high-speed random access memory, non-volatile deposit can also be included
Reservoir, for example, at least a disk memory, flush memory device or other volatile solid-state parts.Correspondingly, memory
502 can also include Memory Controller, to provide the access of processor 508 and input block 503 to memory 502.
Input block 503 can be used for numeral, character information or the user's characteristic information (such as fingerprint) for receiving input, and
Keyboard, mouse, action bars, optics or the trace ball signal relevant with user's setting and function control is produced to input.Specifically
Ground, in a specific embodiment, input block 503 may include touch sensitive surface and other input equipments.Touch sensitive surface,
Referred to as touch display screen or Trackpad, collect user on or near it touch operation (such as user using finger, touch
The operations of any suitable object or annex on touch sensitive surface or near touch sensitive surface such as pen), and according to set in advance
Formula drives corresponding attachment means.Optionally, touch sensitive surface may include both touch detecting apparatus and touch controller.
Wherein, the touch orientation of touch detecting apparatus detection user, and the signal that touch operation is brought is detected, transmit a signal to touch
Controller；Touch controller receives touch information from touch detecting apparatus, and is converted into contact coordinate, then gives processing
Device 508, and the order sent of reception processing device 508 and can be performed.
Display unit 504 can be used for display by the information of user's input or be supplied to the information and electronic equipment of user
Various graphical user interface, these graphical user interface can be made up of figure, text, icon, video and its any combination.
Display unit 504 may include display panel.Optionally, liquid crystal display (LCD, Liquid Crystal can be used
Display), the form such as Organic Light Emitting Diode (OLED, Organic Light-Emitting Diode) configures display surface
Plate.Further, touch sensitive surface can cover display panel, after touch sensitive surface detects the touch operation on or near it,
Processor 508 is sent to determine the type of touch event, is followed by subsequent processing device 508 according to the type of touch event in display panel
It is upper that corresponding visual output is provided.Although in the figure 7, touch sensitive surface is realized with display panel is the part independent as two
Input and input function, but it is in some embodiments it is possible to touch sensitive surface and display panel is integrated and realize and input and defeated
Go out function.
Electronic equipment may also include at least one sensor 505, such as optical sensor, motion sensor and other sensings
Device.Specifically, optical sensor may include ambient light sensor and proximity transducer, wherein, ambient light sensor can be according to environment
The light and shade of light adjusts the brightness of display panel, and proximity transducer can close display surface when electronic equipment is moved in one's ear
Plate and/or backlight.As one kind of motion sensor, gravity accelerometer can detect in all directions (generally three axles)
The size of acceleration, size and the direction of gravity are can detect that when static, the application available for identification mobile phone posture is (such as vertical and horizontal
Shield switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；As for electronics
The other sensors such as gyroscope that equipment can also configure, barometer, hygrometer, thermometer, infrared ray sensor, it is no longer superfluous herein
State.
Voicefrequency circuit 506 can provide the COBBAIF between user and electronic equipment by loudspeaker, microphone.Audio-frequency electric
The voice data received can be converted into electric signal by road 506, be transferred to loudspeaker, and it is defeated to be converted to voice signal by loudspeaker
Go out；On the other hand, the voice signal of collection is converted to electric signal by microphone, and audio is converted to after being received by voicefrequency circuit 506
Data, then after voice data output processor 508 is handled, through radio circuit 501 to be sent to such as another electronic equipment, or
Person exports voice data to memory 502 further to handle.Voicefrequency circuit 506 is also possible that earphone jack, to carry
For the communication of peripheral hardware earphone and electronic equipment.
Wireless Fidelity (WiFi) belongs to short range wireless transmission technology, and electronic equipment can be with by wireless fidelity module 507
Help user to send and receive e-mail, browse webpage and access streaming video etc., it has provided the user wireless broadband internet
Access.Although Fig. 7 shows wireless fidelity module 507, but it is understood that, it is simultaneously not belonging to the necessary structure of electronic equipment
Into can be omitted as needed in the essential scope for do not change invention completely.
Processor 508 is the control centre of electronic equipment, utilizes each of various interfaces and the whole electronic equipment of connection
Individual part, by running or performing the application program being stored in memory 502, and call and be stored in memory 502
Data, the various functions and processing data of electronic equipment are performed, so as to carry out integral monitoring to electronic equipment.Optionally, handle
Device 508 may include one or more processing cores；Preferably, processor 508 can integrate application processor and modulation /demodulation processing
Device, wherein, application processor mainly handles operating system, user interface and application program etc., and modem processor is mainly located
Manage radio communication.It is understood that above-mentioned modem processor can not also be integrated into processor 508.
Electronic equipment also includes the power supply 509 (such as battery) to all parts power supply.Preferably, power supply can pass through electricity
Management system and processor 508 are logically contiguous, so as to realize management charging, electric discharge and power consumption by power-supply management system
The functions such as management.Power supply 509 can also include one or more direct current or AC power, recharging system, power supply event
The random component such as barrier detection circuit, power supply changeover device or inverter, power supply status indicator.
Although not shown in Fig. 7, electronic equipment can also include camera, bluetooth module etc., will not be repeated here.
It when it is implemented, above modules can be realized as independent entity, can also be combined, be made
Realized for same or several entities, the specific implementation of above modules can be found in embodiment of the method above, herein not
Repeat again.
It should be noted that one of ordinary skill in the art will appreciate that whole in the various methods of above-described embodiment or
Part steps are by program the hardware of correlation can be instructed to complete, and the program can be stored in computer-readable storage medium
In matter, such as it is stored in the memory of terminal, and by least one computing device in the terminal, can wraps in the process of implementation
Include the flow of the embodiment such as information issuing method.Wherein, storage medium can include：Read-only storage (ROM, Read Only
Memory), random access memory (RAM, Random Access Memory), disk or CD etc..
A kind of application control method, device, storage medium and the electronic equipment provided above the embodiment of the present application
It is described in detail, its each functional module can be integrated in a process chip or the independent physics of modules
In the presence of, can also two or more modules be integrated in a module.Above-mentioned integrated module can both use hardware
Form is realized, can also be realized in the form of software function module.Principle of the specific case to the application used herein
And embodiment is set forth, the explanation of above example is only intended to help and understands that the present processes and its core are thought
Think；Meanwhile for those skilled in the art, according to the thought of the application, can in specific embodiments and applications
There is change part, in summary, this specification content should not be construed as the limitation to the application.
Claims (11)
1. a kind of application control method, it is characterised in that comprise the following steps：
The current running status of destination application is obtained, and judges whether the state meets preparatory condition；
If so, then obtaining the operational factor of the electronic equipment, the operational factor includes current time, foreground application, residue
Electricity, bright screen duration, charged state and network connection state；
Training sample is generated according to the operational factor；
Default Bayesian model is trained using the training sample；
The destination application is controlled based on the Bayesian model after training.
2. application control method as claimed in claim 1, it is characterised in that described to judge whether the state meets pre-
If the step of condition, includes：
Judge whether the destination application is currently in broadcast state；
If, it is determined that the state meets preparatory condition.
3. application control method as claimed in claim 1, it is characterised in that described generated according to the operational factor is instructed
The step of practicing sample includes：
Date collected type and sampling periods are determined according to the current time；
Determine the default electricity scope belonging to the dump energy, and the preset duration model belonging to bright screen duration described in determination
Enclose；
According to the date collected type, sampling periods, default electricity scope, preset duration scope, foreground application, charging connection
State and network connection state generation training sample.
4. the application control method described in claim 3, it is characterised in that it is described according to the date collected type, adopt
Sample period, default electricity scope, preset duration scope, foreground application, charging connection state and network connection state generation training
The step of sample, includes：
Determine that the upper switching application of the foreground application and next switching are applied from operational factor according to the current time；
The predicted value of the destination application is determined according to the current time, next switching application and foreground application；
According to the upper switching application, foreground application, date collected type, sampling periods, default electricity scope, preset duration
Scope, charging connection state, network connection state, destination application and predicted value generation training sample.
5. the application control method described in claim 4, it is characterised in that described to be applied according to a upper switching, be preceding
Platform application, date collected type, sampling periods, default electricity scope, preset duration scope, charging connection state, network connection
The step of state, destination application and predicted value generation training sample, includes：
The upper switching application, foreground application are obtained respectively, date collected type, sampling periods, default electricity scope, are preset
Duration scope, charging connection state, network connection state and characteristic value corresponding to destination application；
According to the characteristic value and predicted value generation training sample.
6. application control method as claimed in claim 1, it is characterised in that the Bayesian model based on after training
The destination application is controlled including：
Obtain application cleaning instruction；
Instruction is cleared up according to the application and obtains the destination application of the electronic equipment and current operational factor；
Rate is cleared up using what the Bayesian model after training and current operational factor calculated the destination application；
The destination application is closed according to the rate of clearing up.
A kind of 7. application program controlling device, it is characterised in that including：Judge module, acquisition module, generation module, training mould
Block and control module；
The judge module, the running status current for obtaining destination application, and it is pre- to judge whether the state meets
If condition；
The acquisition module, it is described for obtaining the operational factor of the electronic equipment when the state meets preparatory condition
Operational factor includes current time, foreground application, dump energy, bright screen duration, charged state and network connection state；
The generation module, for generating training sample according to the operational factor；
The training module, for being trained using the training sample to default Bayesian model；
The control module, for being controlled based on the Bayesian model after training to the destination application.
8. application program controlling device as claimed in claim 7, it is characterised in that the judge module includes：Judge submodule
Block and determination sub-module；
The judging submodule, for judging whether the destination application is currently in broadcast state；
The determination sub-module, for when the judging submodule is judged as YES, determining that the state meets preparatory condition.
9. application program controlling device as claimed in claim 7, it is characterised in that the generation module includes：First determines
Submodule, the second determination sub-module and generation submodule；
First determination sub-module, for determining date collected type and sampling periods according to the current time；
Second determination sub-module, for determining the default electricity scope belonging to the dump energy, and described in determination
Preset duration scope belonging to bright screen duration；
The generation submodule, for according to the date collected type, sampling periods, default electricity scope, preset duration model
Enclose, foreground application, charging connection state and network connection state generation training sample.
10. a kind of storage medium, is stored thereon with computer program, it is characterised in that the computer program is held by processor
Realized during row such as the step of any one of claim 1-6 methods described.
11. a kind of electronic equipment, including memory, processor and storage are on a memory and the calculating that can run on a processor
Machine program, it is characterised in that realized during the computing device described program such as the step of any one of claim 1-6 methods described
Suddenly.
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| CN113673080A (en) * | 2021-07-15 | 2021-11-19 | 北京奇艺世纪科技有限公司 | Application duration prediction and model training method, device, equipment and medium |
| CN113673080B (en) * | 2021-07-15 | 2023-08-18 | 北京奇艺世纪科技有限公司 | Method, device, equipment and medium for predicting duration of application and training model |
| CN113885944B (en) * | 2021-08-25 | 2022-09-20 | 荣耀终端有限公司 | Application background keep-alive method and device and electronic equipment |
| CN113885944A (en) * | 2021-08-25 | 2022-01-04 | 荣耀终端有限公司 | Application background keep-alive method and device and electronic equipment |
| CN116663610A (en) * | 2023-08-02 | 2023-08-29 | 荣耀终端有限公司 | Scheduling network training method, task scheduling method and related equipment |
| CN116663610B (en) * | 2023-08-02 | 2023-12-19 | 荣耀终端有限公司 | Scheduling network training method, task scheduling method and related equipment |
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