CN109951594A - Intelligent adjusting method, device, storage medium and the mobile terminal of screen intensity - Google Patents
Intelligent adjusting method, device, storage medium and the mobile terminal of screen intensity Download PDFInfo
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- CN109951594A CN109951594A CN201711382131.0A CN201711382131A CN109951594A CN 109951594 A CN109951594 A CN 109951594A CN 201711382131 A CN201711382131 A CN 201711382131A CN 109951594 A CN109951594 A CN 109951594A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
- G09G5/10—Intensity circuits
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
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Abstract
The embodiment of the present application discloses intelligent adjusting method, device, storage medium and the mobile terminal of a kind of screen intensity.This method includes the application identities and the SOT state of termination of the intensity value for obtaining environment light, the application program of front stage operation；When preset brightness regulation event is triggered, target brightness value corresponding with the intensity value, application program and the SOT state of termination is determined by preconfigured luma prediction model, wherein, the luma prediction model is the deep learning model that record training is adjusted according to historical light；Screen intensity is adjusted according to the target brightness value.By adopting the above technical scheme, it solves the problems, such as to cause repeatedly to adjust because the adjusted result of screen intensity regulation scheme is not consistent with expection at heart of the user to brightness in the related technology, improves degree of intelligence of the mobile terminal in terms of screen intensity adjusting.
Description
Technical field
The invention relates to mobile terminal technology more particularly to a kind of intelligent adjusting method of screen intensity, device,
Storage medium and mobile terminal.
Background technique
Currently, mobile terminal is increasingly used in life, user stares at mobile terminal screen for a long time
It sees, if screen intensity is improper, the eyes of user can be stimulated.To solve this problem, basis may be implemented in current mobile terminal
External environment luminous intensity is from the dynamic brightness for adjusting screen, and still, the screen intensity regulation scheme provided in the related technology exists
Defect, is unable to satisfy mobile terminal user to the actual requirement of screen intensity, user often on the basis of automatic adjustment again
It is limited to be manually adjusted the degree of intelligence for adjusting screen intensity to reach expected brightness effects.
Summary of the invention
The embodiment of the present application provides intelligent adjusting method, device, storage medium and the mobile terminal of a kind of screen intensity, can
To optimize the regulation scheme of screen intensity in the related technology, the degree of intelligence of mobile terminal is improved.
In a first aspect, the embodiment of the present application provides a kind of intelligent adjusting method of screen intensity, comprising:
Obtain the application identities and the SOT state of termination of the intensity value of environment light, the application program of front stage operation；
When preset brightness regulation event is triggered, pass through the determination of preconfigured luma prediction model and the intensity
Value, application program and the corresponding target brightness value of the SOT state of termination, wherein the luma prediction model is to be adjusted according to historical light
Record the deep learning model of training；
Screen intensity is adjusted according to the target brightness value.
Second aspect, the embodiment of the present application also provides a kind of intelligent regulating device of screen intensity, which includes:
State acquisition module, for obtaining the intensity value of environment light, the application identities of the application program of front stage operation and end
End state；
Target value determining module, it is pre- by preconfigured brightness for when preset brightness regulation event is triggered
It surveys model and determines target brightness value corresponding with the intensity value, application program and the SOT state of termination, wherein the luma prediction mould
Type is the deep learning model that record training is adjusted according to historical light；
Luminance adjustment module, for screen intensity to be adjusted according to the target brightness value.
The third aspect, the embodiment of the present application also provides the embodiment of the present application also provides a kind of computer-readable storage mediums
Matter is stored thereon with computer program, and the screen intensity as described in above-mentioned first aspect is realized when which is executed by processor
Intelligent adjusting method.
Fourth aspect processor and is stored in the embodiment of the present application also provides a kind of mobile terminal, including memory
On reservoir and the computer program that can run in processor, the processor realizes such as above-mentioned the when executing the computer program
The intelligent adjusting method of screen intensity described in one side.
The embodiment of the present application provides a kind of intelligent regulation scheme of screen intensity, by the intensity value, preceding for obtaining environment light
The application identities and the SOT state of termination of the application program of platform operation；When preset brightness regulation event is triggered, by matching in advance
The luma prediction model set determines target brightness value corresponding with the intensity value, application program and the SOT state of termination, according to the target
Screen intensity is adjusted in brightness value, realizes that the historical light of the combinations of states user based on the currently used terminal of user is adjusted
Record is analyzed the target brightness value of user preference, and is automatically adjusted based on the target brightness value to screen intensity, and adjust
Nodule fruit more meets the real experiences requirement of user.By adopting the above technical scheme, it solves in the related technology because of screen intensity tune
The adjusted result of section scheme is not consistent with expection at heart of the user to brightness leads to the problem of repeatedly adjusting, and improves mobile terminal
Degree of intelligence in terms of screen intensity adjusting.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the intelligent adjusting method of screen intensity provided by the embodiments of the present application；
Fig. 2 is the flow chart of the intelligent adjusting method of another screen intensity provided by the embodiments of the present application；
Fig. 3 is a kind of structural block diagram of the intelligent regulating device of screen intensity provided by the embodiments of the present application；
Fig. 4 is a kind of structural block diagram of mobile terminal provided by the embodiments of the present application；
Fig. 5 is a kind of structural block diagram of smart phone provided by the embodiments of the present application.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the application, rather than the restriction to the application.It also should be noted that in order to just
Part relevant to the application is illustrated only in description, attached drawing rather than entire infrastructure.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail
The processing or method described as flow chart.Although each step is described as the processing of sequence by flow chart, many of these
Step can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of each step can be rearranged.When its operation
The processing can be terminated when completion, it is also possible to have the additional step being not included in attached drawing.The processing can be with
Corresponding to method, function, regulation, subroutine, subprogram etc..
It should be noted that luma prediction model is the depth that the historical light based on mobile terminal user adjusts record training
Spend learning model.Illustratively, the number and input layer of hidden layer, the section of each layer of hidden layer and output layer can be preset
Points, and the first parameter of initialization deep neural network, wherein the first parameter includes the bias of each layer and the power on side
Weight, tentatively obtains deep learning model.Then, it is adjusted using historical light and records corresponding sample set to the deep learning mould
The training in type progress two stages of propagated forward and back-propagating；Reach expectation in the error that back-propagating training is calculated to miss
When difference, training terminates, and obtains luma prediction model.Since the luma prediction model is by a large amount of of mobile terminal user
Learn out effectively feature in the application program of front stage operation when History screen brightness adjustment operation and adjusting operation, thus, it can
To learn to meet the screen intensity of user preference out, the accuracy based on current state prediction screen intensity is improved.Meeting
When brightness regulation event, the intensity value of current environment light is integrated, currently in the application program of front stage operation and screen backlight brightness
History adjust record, analysis is carried out by artificial intelligence technology and obtains the screen intensity parameter of suitable current scene.
It should be noted that the number of plies of the neural network model, the quantity of neuron, convolution kernel in the embodiment of the present application
And/or the network parameters such as weight are not construed as limiting.
It should be noted that the building of the luma prediction model can be by mobile terminal execution, for executing model construction
Executing subject the embodiment of the present application of operation is simultaneously not construed as limiting.
The source of sample set is related data of the mobile terminal user when executing screen intensity and adjusting operation.Each
When user carries out screen intensity adjusting, mobile terminal will record the intensity value (also can recorde as light intensity), preceding of current environment light
The application program of platform operation executes preoperative first screen intensity of screen adjustment, executes the system that screen intensity adjusts operation
After time (regulating time can be referred to as), current network environment state (can be network identity) and execution screen adjustment operation
The second screen intensity etc., adjust and record as historical light.Wherein, network identity can be the network of mobile terminal access
Title, the title of the WIFI including but not limited to accessed (Wireless Fidelity).It should be noted that above-mentioned regulating time can choose
Start to execute the time that screen intensity adjusts operation, or selection screen intensity adjusts operation and executes the time completed, Huo Zhexuan
It selects screen intensity and adjusts the interlude at the beginning of operated with the end time.Mobile terminal can be deposited in the form of tables of data
It stores up above-mentioned historical light and adjusts record.The tables of data is stored in mobile terminal data library.
Table 1, historical light adjust record
It should be noted that can be arranged in above table using the data line in above table as a sample data
The feature of act includes the intensity value of current environment light, application program, executes preoperative first screen intensity of screen intensity adjusting
Value, execution screen intensity adjust the time of operation, the network identity of access network (can be SSID, Service Set
Identifier, service set, indicate WIFI title) and execute screen intensity adjust operation after the second screen intensity,
But historical light adjusts record and is not limited to features described above, can also increase remaining capacity according to the actual needs of model construction
And/or the features such as location information.In addition, the time can be converted to date Hour Minute Second format in above-mentioned table 1.For example,
1497590695469=2017/6/1613:24:55.
It is understood that needing to be pre-processed to obtain sample matrix to the data in above table, it is based on sample moment
Battle array is trained, and constructs luma prediction model.In the embodiment of the present application, which may is that
The program number of the application program is matched according to preset rules, including is counted user from the background and pacified in the terminal
All application programs (i.e. APP) of dress assign unduplicated number for each application program.It is assumed that user according to application journey
Sequence includes the APP such as QQ, wechat, today's tops and microblogging, then numbers for each application assigned one, i.e. APP ID, with this
APP ID alternate application program.It is wechat distribution program number is 1 for example, be QQ distribution program number be 0, for today's tops
Distribution program number is 2 ... .., the quantity of application program of the maximum number of program number depending on user installation.Optionally,
It is also based on application program recorded in table 1 to be numbered, each unduplicated application program difference as occurred in table 1
Unduplicated number is assigned, as program number, the maximum number of program number depends on the quantity of application program in table 1.
The network numbering of the network identity is matched according to preset rules, is including but not limited to counted mobile terminal from the background and is gone through
The SSID information (it can be appreciated that title of all used WIFI of user) of the WIFI of history access, assigns for each SSID
Nonoverlapping number.It is understandable that network label u ∈ [0,1,2 ...], maximum network number depends on mobile terminal in total
The different WIFI of how many accessed.Optionally, it is also based on the SSID of the WIFI of mobile terminal access recorded in table 1
It is numbered, the different SSID to occur in table 1 assign unduplicated number, and as network numbering, maximum network number is taken
Certainly occurred how many different SSID in table 1.
Several periods were divided by 24 hours in consecutive days in advance.For example, if with 1 hour for time interval, one
At 24 hours a consecutive days had 24 periods, carried out serial number, access time corresponding time domain t ∈ for the period
[0,1,2,3 ... 23], as 0 point of morning adjusts operation to the screen intensity detected between 1:00 AM and assigns time domain 0,
Adjusting operation to assign time domain 1 ... ... for 1:00 AM to the screen intensity detected between 2:00 AM is 23 points to 24 points
Between the screen intensity that detects adjust operation and assign time domain 23.To true according to the period belonging to the regulating time
It fixes time number.For example, mobile terminal is detecting QQ when front stage operation, user inputs brightness regulation instruction, and adjusts behaviour
The regulating time of work is 13:24:55, can determine that the corresponding time domain of regulating time is 13.
It is understood that since user can not use mobile terminal in 24 hours, it can also be according to the use of user
Habit, user is divided using the time interval of mobile terminal.For example, user is between 12 points to 6 points of morning of morning
In sleep state, mobile terminal not will use, then the time interval excluded except this time of having a rest section can be drawn
Point, obtain the period.
By the intensity value of environment light, program number, time domain, the first screen brightness value and network numbering constitutive characteristic collection
It closes, expected results set is constituted with the second screen brightness value, sample set is constituted by characteristic set and expected results set, so as to
In using supervised mode of learning, the deep learning network being pre-designed is trained by the sample set, constitutes brightness
Prediction model.Illustratively, maximum brightness is maximum screen brightness, and the numerical value is related to screen attribute.If with ImaxRepresent maximum
Brightness according to the method described above pre-processes the data of table 1, obtains following sample set table.
Table 2, sample set table
| Light intensity | Application program | First screen intensity | Regulating time | Network identity | Second screen intensity |
| 300 | 0 | 20%Imax | 13 | 0 | 30%Imax |
| 500 | 1 | 40%Imax | 13 | 1 | 50%Imax |
| … | … | … | … | … | … |
The corresponding sample matrix D of sample set table described in table 2 are as follows:
Wherein, above-mentioned sample set table and sample matrix and unlisted whole historical light's adjusting records, ellipsis representative
The historical light of omission adjusts record.
Fig. 1 is a kind of flow chart of the intelligent adjusting method of screen intensity provided by the embodiments of the present application.This method can be with
It is executed by the intelligent regulating device of screen intensity, wherein the device can be implemented by software and/or hardware, and can generally be integrated in
In mobile terminal.As shown in Figure 1, this method comprises:
The application identities and the SOT state of termination of step 110, the application program of the intensity value for obtaining environment light, front stage operation.
It should be noted that the intensity value of the environment light in the embodiment of the present application is to characterize the weak numerical value of environmental light intensity.It should
Numerical value can be acquired according to the setting sensor for being built in mobile terminal.Wherein, setting sensor includes but is not limited to environment light
Sensor.For example, the intensity value of environment light is obtained by ambient light sensor according to the sampling interval of setting.It can according to the intensity value
To judge whether preset brightness regulation event is triggered.
Illustratively, according to corresponding first intensity value of current sample time the second intensity corresponding with a upper sampling instant
Value judges whether preset brightness regulation event is triggered in mobile terminal.Judge whether preset brightness regulation event is triggered
Mode may is that and obtain the numerical value that is exported by ambient light sensor of current sample time, first as current sample time
Intensity value.By reading corresponding second intensity value of a upper sampling instant in setting memory space, first intensity value and the are calculated
The departure of two intensity values；When the departure is more than given threshold, determine that brightness regulation event is triggered.It is understood that
It is that given threshold can be system default, can also be and be configured according to actual needs by user, the given threshold is for sentencing
Disconnected whether trigger executes screen intensity adjusting event.
When determining that preset brightness regulation event is triggered, the application mark of the application program of current foreground operation is obtained
Which kind of know, front stage operation application program determined；Also, obtain the present intensity value and network of current system time, screen
Mark is used as the SOT state of termination, wherein the network identity is the title (can be SSID) of the wireless network of terminal access.Sentencing
When fixed preset brightness regulation event is not triggered, the numerical value of ambient light sensor output is obtained according to the sampling interval of setting,
And the application identities and the current SOT state of termination of the application program of front stage operation are not obtained, movement is occupied to reduce detection data
The memory space of terminal.
It is understood that the application program of front stage operation refers to the application program shown in interface of mobile terminal, use
Family can operate the application program of front stage operation.For example, operation has application program A, using journey simultaneously in mobile terminal
Sequence B and application program C, wherein only application program A is the application program shown in current mobile terminal interface, then can be with
Application program A is determined as to the application program of front stage operation, application program B and application program C are determined as the application of running background
Program.It should be noted that application identities are the characters that can uniquely determine application program, including but not limited to using packet name,
The user name (UID) of application or the process name (PID) of application.
Generally, terminal can be the mobile terminal equipped with operating system, including but not limited to smart phone, plate electricity
Brain, handheld device, laptop and smartwatch etc..It should be noted that the SOT state of termination includes that network identity, screen are bright
Degree adjust preoperative brightness value (i.e. current screen brightness value), current system time, remaining capacity, in location information to
One item missing.In the embodiment of the present application, the current SOT state of termination includes the SSID, present system time and current screen of current WIFI
Curtain brightness value.
Step 120, when preset brightness regulation event is triggered, by preconfigured luma prediction model determine with
The intensity value, application program and the corresponding target brightness value of the SOT state of termination.
It should be noted that luma prediction model is the deep learning model for adjusting record training according to historical light.It is bright
The building mode for spending prediction model can also carry out structure using other way such as the mode recorded in the embodiment of the present application
It builds, herein and is not construed as limiting.
In the embodiment of the present application, the be triggered application program at moment, system time, SSID of brightness regulation event is carried out
Pretreatment, meeting the input requirements of brightness preset model, obtaining about intensity value, application program, system time, SSID and working as
(it is also assumed that being the state of the currently used terminal of user, which includes the mode input record of forth screen brightness value
State, service condition and ambient light conditions of terminal itself etc.).Wherein, above-mentioned application program, system time, SSID are carried out
Pretreated mode includes: according to the program number a for the application program for presetting the first rule match current front stage operation, and a
∈ [0,1,2 ...]；The network numbering u of the SSID, and u ∈ [0,1,2 ...] are matched according to default Second Rule；According to the above records
Known to the period is respectively obtained to preset time section in consecutive days, the period and time domain associated storage in
In white list, the white list can be inquired the period according to belonging to current system time and determine its time domain.This is strong
Angle value, program number, time domain, the present intensity value of screen and network numbering input preconfigured luma prediction model,
To calculate target brightness value by the luma prediction model.
Step 130 is adjusted screen intensity according to the target brightness value.
In the embodiment of the present application, screen intensity is adjusted according to target brightness value can be using the object brightness
Value replaces the present intensity value of above-mentioned screen.But regulative mode is more stiff herein, for target brightness value and present intensity
Value differs larger situation, and it is bad to will lead to user experience for directly replacement.It optionally, can be in target brightness value and present intensity
The median of preset quantity is set between value, jumps the case where making human eye not feel like oneself suddenly to avoid screen intensity.Example
Such as, the difference of the target brightness value Yu the current brightness value is calculated；The difference be more than setting control interval value when, according to this
The difference is divided at least two numerical intervals by the luminance deviation of target brightness value；According to the numerical intervals to screen intensity into
Row smooth adjustment.Optionally, above-mentioned at least two numerical intervals can be the difference of respectively present intensity value and target brightness value
The result of corresponding interval section.It can also be adjusted first using lesser numerical value change amount according to actual needs bright far from target
The present intensity of angle value can increase numerical value change amount when close to target brightness value.For example, target brightness value is 500, currently
Brightness value is 400, then can determine that the difference of target brightness value and present intensity value is 100, can divide equally the difference as 4
Part, it is bright to reach target gradually to adjust present intensity value in such a way that screen brightness value is increased by 25 by setting time section
Angle value.Optionally, the adjusting strategy of variation can also be set according to actual needs, such as before present intensity value reaches 460, with
The mode that screen intensity increases by 10 is adjusted every setting time section, after present intensity reaches 460, every setting
The mode that screen intensity increases by 20 is adjusted by time interval.
The technical solution of the present embodiment, the application by obtaining the intensity value of environment light, the application program of front stage operation are marked
Knowledge and the SOT state of termination；When preset brightness regulation event is triggered, is determined and be somebody's turn to do by preconfigured luma prediction model
Intensity value, application program and the corresponding target brightness value of the SOT state of termination, are adjusted screen intensity according to the target brightness value,
It realizes that the historical light of the combinations of states user based on the currently used terminal of user adjusts record, analyzes the target of user preference
Brightness value, and automatically adjusted based on the target brightness value to screen intensity, and adjusted result more meets the practical body of user
Test requirement.By adopting the above technical scheme, it solves in the related technology because of the adjusted result of screen intensity regulation scheme and user couple
The expection at heart of brightness is not consistent and leads to the problem of repeatedly adjusting, and improves intelligence of the mobile terminal in terms of screen intensity adjusting
Degree.
Fig. 2 is the flow chart of the intelligent adjusting method of another screen intensity provided by the embodiments of the present application.Such as Fig. 2 institute
Show, this method comprises:
Step 201 obtains intensity of the numerical value of ambient light sensor output as environment light according to the sampling interval of setting
Value.
It is understood that there are many kinds of the acquisition modes of intensity value, however it is not limited to it is above-mentioned enumerate passed by environment light
Sensor obtains, and the image of a width external environment can also be shot by camera, the image is analyzed and obtains the intensity value of environment light
Etc..
Step 202 judges whether preset brightness regulation event is triggered according to the intensity value, if so, executing step
Rapid 203, otherwise return to step 201.
In the embodiment of the present application, it is corresponding with a upper sampling instant to calculate corresponding first intensity value of current sample time
The departure of second intensity value；When the departure is greater than or equal to given threshold, step 203 is executed；It is less than in the deviation
When given threshold, step 201 is executed.
Optionally, current system time can also be obtained, determines current system time and last screen intensity tune
The time interval for saving the time of operation can also trigger brightness regulation event when the time interval is more than setting time threshold value.
It should be noted that every time complete screen intensity adjust operation when, starting timer start timing, with record current time with
Last screen intensity adjusts the time interval of the time of operation.Above-mentioned time threshold can be system default or user according to
Self-setting is actually needed, for triggering brightness regulation event.For example, setting time interval can be 1 hour, timing is obtained
Whether the reading of device judges the time interval more than 1 hour.When timer reaches preset time threshold, control timer is clear
Zero, after adjusting operation with screen intensity to be done, reclocking.
Step 203, obtain front stage operation application program application identities, and obtain system time, screen it is current bright
Angle value and network identity are as the SOT state of termination.
The program number of step 204, the application program according to default first rule match.
It should be noted that first rule can be assigned for the different application installed in mobile terminal it is different
Digital number, as program number.
Step 205, the network numbering that the network identity is matched according to default Second Rule.
It should be noted that the SSID that the Second Rule can be the different WIFI accessed for mobile terminal assigns difference
Digital number, as network numbering.
Step 206, the period according to belonging to the system time determine time domain.
Step 207 inputs the intensity value, program number, time domain, the present intensity value of screen and network numbering
Preconfigured luma prediction model.
Step 208, the target brightness value for obtaining the output of luma prediction model, calculate the present intensity value and the target
The difference of brightness value.
Step 209 judges whether the difference is more than otherwise setting control interval value is held if so, thening follow the steps 210
Row step 211.
It should be noted that above-mentioned control interval value can be adjusted according to the screen intensity history of above-mentioned a large number of users group
Record carries out analysis determination.For example, user adjusts manually after having executed and being adjusted to the operation of target brightness value by present intensity again
Saved screen intensity, then it is assumed that this screen intensity is adjusted in operation, the luminance deviation of present intensity value and target brightness value compared with
Greatly, according to the rule, record is adjusted to screen intensity history and is analyzed, determine setting control interval value.
The difference is divided at least two numerical intervals according to the luminance deviation with the target brightness value by step 210,
Smooth adjustment is carried out to screen intensity according to the numerical intervals.
It should be noted that the partitioning standards of above-mentioned numerical intervals can be between the respectively corresponding numerical value of the luminance deviation
Every.Optionally, partitioning standards can also be the deviation according to distance objective brightness value.For example, distance objective brightness value farther out
When, it is smoothly adjusted using lesser numerical intervals, when close to target brightness value, is carried out using biggish numerical intervals bright
Degree is adjusted.
It should be noted that executing step 212 after the completion of this step executes.
Step 211 replaces present intensity value using the target brightness value.
It is understood that due to the difference of target brightness value and present intensity value and little, it can be using directly replacement
Mode adjust screen intensity, this step executes step 212 after the completion of executing.
Step 212 obtains target image brightness value corresponding with the target brightness value, and bright according to the target image
The brightness of angle value adjusting present displayed content.
It is understood that in some scenarios, influencing user and seeing that the factor of the impression of screen is not only screen intensity, shield
Displayed content also will affect the viewing experience of user in curtain.In consideration of it, the user group of acquisition setting quantity is directed to
Operation is arranged in the history of the brightness of image shown in screen intensity and screen, is arranged using means of numerical analysis to above-mentioned history and is grasped
It is analyzed, obtains the brightness with the matched display image of screen intensity, and be pre-configured in mobile terminal.For example, can
The corresponding relationship of above-mentioned screen intensity and brightness of image is stored in the form of using white list.
In the embodiment of the present application, after obtaining target brightness value, above-mentioned white list is inquired according to target brightness value, is determined
Corresponding image brightness values adjust the brightness of present displayed content according to the image brightness values.
It should be noted that when the deviation of present image brightness value and target image brightness value is larger, can according to
The deviation of target image brightness value is by difference section (the value model of the difference of present image brightness value and target image brightness value
Enclose) it is divided at least two subintervals, smooth adjustment is carried out to brightness of image according to the subinterval, realizes that the image of display content is bright
It spends adjustment process and screen intensity smooth excessiveness is adapted.
It should be noted that this step is not the steps necessary of the embodiment of the present application, i.e., step 212 is executable to hold
Row.Meanwhile the execution sequence of step 212 is not limited to situation documented by the embodiment of the present application, step 212 is determining that target is bright
It is executed after angle value.
The technical solution of the present embodiment, by obtaining target image brightness value corresponding with target brightness value, and according to this
Target image brightness value adjusts the brightness of present displayed content, and realization is being adjusted except screen intensity, goes back adjusting displayed content
Brightness preferably meets user's impression, is effectively prevented from and repeatedly adjusts screen intensity, improve the execution efficiency of mobile terminal.
Fig. 3 is a kind of structural block diagram of the intelligent regulating device of screen intensity provided by the embodiments of the present application.The device can
It is bright for executing screen provided by the embodiments of the present application can be integrated in mobile terminal by software and or hardware realization
The intelligent adjusting method of degree.As shown in figure 3, the device includes:
State acquisition module 310, for obtain the intensity value of environment light, the application program of front stage operation application identities and
The SOT state of termination；
Target value determining module 320, for passing through preconfigured brightness when preset brightness regulation event is triggered
Prediction model determines target brightness value corresponding with the intensity value, application program and the SOT state of termination, wherein the luma prediction
Model is the deep learning model that record training is adjusted according to historical light；
Luminance adjustment module 330, for screen intensity to be adjusted according to the target brightness value.
The technical solution of the present embodiment provides a kind of intelligent regulating device of screen intensity, realizes currently used based on user
The historical light of combinations of states user adjusts record, analyzes the target brightness value of user preference, and be based on the target brightness value
It automatically adjusts to screen intensity, and adjusted result more meets the real experiences requirement of user.By adopting the above technical scheme, it solves
Determined in the related technology because the adjusted result of screen intensity regulation scheme and user to brightness it is expected at heart be not consistent cause it is more
The problem of secondary adjusting, improves degree of intelligence of the mobile terminal in terms of screen intensity adjusting.
Optionally, state acquisition module 310 is specifically used for: obtaining ambient light sensor output according to the sampling interval of setting
Intensity value of the numerical value as environment light；
And, further includes:
Event determination module, for being judged according to the intensity value preset bright after the intensity value for obtaining environment light
Whether degree adjusting event is triggered.
Optionally, event determination module is specifically used for:
Calculate the deviation of current sample time corresponding first intensity value and corresponding second intensity value of a upper sampling instant
Amount；
When the departure is more than given threshold, determine that brightness regulation event is triggered.
Optionally, state acquisition module 310 also particularly useful for:
When the brightness regulation event is triggered, the application identities of the application program of front stage operation are obtained, and obtain and be
Time, the present intensity value of screen and network identity unite as the SOT state of termination, wherein the network identity is the nothing of terminal access
The title of gauze network.
Optionally, further includes:
Preprocessing module, for obtaining the intensity value of environment light, the application identities of the application program of front stage operation and end
After the state of end, according to the program number of application program described in default first rule match；Institute is matched according to default Second Rule
State the network numbering of network identity；Time domain is determined according to the period belonging to the system time, wherein in consecutive days
Preset time section is respectively obtained the period, the period and time domain associated storage；
Mode input module, for by the intensity value, program number, time domain, the present intensity value of screen and net
Network number inputs preconfigured luma prediction model.
Optionally, luminance adjustment module 330 is specifically used for:
Calculate the difference of the present intensity value and the target brightness value；
When the difference is more than setting control interval value, according to the luminance deviation with the target brightness value by the difference
Value is divided at least two numerical intervals；
Smooth adjustment is carried out to screen intensity according to the numerical intervals.
Optionally, further includes:
Content luminance adjustment module obtains target image brightness value corresponding with the target brightness value, and according to described
The brightness of target image brightness value adjusting present displayed content.
The embodiment of the present application also provides a kind of storage medium comprising computer executable instructions, and the computer is executable
It instructs when being executed by computer processor for executing a kind of intelligent adjusting method of screen intensity, this method comprises:
Obtain the application identities and the SOT state of termination of the intensity value of environment light, the application program of front stage operation；
When preset brightness regulation event is triggered, pass through the determination of preconfigured luma prediction model and the intensity
Value, application program and the corresponding target brightness value of the SOT state of termination, wherein the luma prediction model is to be adjusted according to historical light
Record the deep learning model of training；
Screen intensity is adjusted according to the target brightness value.
Storage medium --- any various types of memory devices or storage equipment.Term " storage medium " is intended to wrap
It includes: install medium, such as CD-ROM, floppy disk or magnetic tape equipment；Computer system memory or random access memory, such as
DRAM, DDR RAM, SRAM, EDO RAM, Lan Basi (Rambus) RAM etc.；Nonvolatile memory, such as flash memory, magnetic medium
(such as hard disk or optical storage)；Register or the memory component of other similar types etc..Storage medium can further include other
Memory of type or combinations thereof.In addition, storage medium can be located at program in the first computer system being wherein performed,
Or can be located in different second computer systems, second computer system is connected to the by network (such as internet)
One computer system.Second computer system can provide program instruction to the first computer for executing." storage is situated between term
Matter " may include may reside in different location (such as by network connection different computer systems in) two or
More storage mediums.Storage medium can store the program instruction that can be performed by one or more processors and (such as implement
For computer program).
Certainly, a kind of storage medium comprising computer executable instructions, computer provided by the embodiment of the present application
The intelligence for the screen intensity that executable instruction is not limited to the described above adjusts operation, and the application any embodiment institute can also be performed
Relevant operation in the intelligent adjusting method of the screen intensity of offer.
The embodiment of the present application provides a kind of mobile terminal, has operating system in the mobile terminal, in the mobile terminal
The intelligent regulating device of screen intensity provided by the embodiments of the present application can be integrated.Wherein, mobile terminal can for smart phone,
PAD (tablet computer), handheld device etc..Fig. 4 is a kind of structural block diagram of mobile terminal provided by the embodiments of the present application.Such as figure
Shown in 4, memory 410 and processor 420.The memory 410, for storing computer program, luma prediction model and going through
History intensity value etc.；The central processing unit 420 reads and executes the computer program stored in the memory 410.The place
Reason device 420 performs the steps of the application journey of the intensity value, front stage operation that obtain environment light when executing the computer program
The application identities and the SOT state of termination of sequence；When preset brightness regulation event is triggered, pass through preconfigured luma prediction mould
Type determines corresponding with the intensity value, application program and SOT state of termination target brightness value, wherein the luma prediction model is
The deep learning model of record training is adjusted according to historical light；Screen intensity is adjusted according to the target brightness value.
The memory and processor enumerated in above-mentioned example are some components of mobile terminal, and the mobile terminal is also
It may include other components.By taking smart phone as an example, illustrate the possible structure of above-mentioned mobile terminal.Fig. 5 is that the application is implemented
A kind of structural block diagram for smart phone that example provides.As shown in figure 5, the smart phone may include: memory 501, centre
Manage device (Central Processing Unit, CPU) 502 (also known as processor, hereinafter referred to as CPU), Peripheral Interface 503, RF
(Radio Frequency, radio frequency) circuit 505, voicefrequency circuit 506, loudspeaker 511, display 512, power management chip
508, input/output (I/O) subsystem 509, other input/control devicess 510 and outside port 504, these components pass through
One or more communication bus or signal wire 507 communicate.
It should be understood that illustrating the example that smart phone 500 is only mobile terminal, and smart phone 500
It can have than shown in the drawings more or less component, can combine two or more components, or can be with
It is configured with different components.Various parts shown in the drawings can include one or more signal processings and/or dedicated
It is realized in the combination of hardware, software or hardware and software including integrated circuit.
The smart phone of the intelligent regulating device provided in this embodiment for being integrated with screen intensity is carried out below detailed
Description.
Memory 501, the memory 501 can be accessed by CPU502, Peripheral Interface 503 etc., and the memory 501 can
It can also include nonvolatile memory to include high-speed random access memory, such as one or more disk memory,
Flush memory device or other volatile solid-state parts.Computer program is stored in memory 511, face can also be stored
State understands model, facial image and white list etc..
The peripheral hardware that outputs and inputs of equipment can be connected to CPU502 and deposited by Peripheral Interface 503, the Peripheral Interface 503
Reservoir 501.
I/O subsystem 509, the I/O subsystem 509 can be by the input/output peripherals in equipment, such as 512 He of screen
Other input/control devicess 510, are connected to Peripheral Interface 503.I/O subsystem 509 may include display controller 5091 and use
In the one or more input controllers 5092 for controlling other input/control devicess 510.Wherein, one or more input controls
Device 5092 receives electric signal from other input/control devicess 510 or sends electric signal to other input/control devicess 510,
His input/control devices 510 may include physical button (push button, rocker buttons etc.), dial, slide switch, manipulation
Bar clicks idler wheel.It is worth noting that input controller 5092 can with it is following any one connect: keyboard, infrared port, USB
The indicating equipment of interface and such as mouse.
Screen 512, the screen 512 are the input interface and output interface between user terminal and user, will be visual defeated
It is shown to user out, visual output may include figure, text, icon, video etc..
Display controller 5051 in I/O subsystem 509 receives electric signal from screen 512 or sends electricity to screen 512
Signal.Screen 512 detects the contact on screen, and the contact that display controller 5091 will test is converted to and is shown in screen
The interaction of user interface object on 512, i.e. realization human-computer interaction, the user interface object being shown on screen 512 can be
The icon of running game, the icon for being networked to corresponding network etc..It is worth noting that equipment can also include light mouse, light mouse is
Do not show the touch sensitive surface visually exported, or the extension of the touch sensitive surface formed by screen.
RF circuit 505 is mainly used for establishing the communication of mobile phone Yu wireless network (i.e. network side), realizes mobile phone and wireless network
The data receiver of network and transmission.Such as transmitting-receiving short message, Email etc..Specifically, RF circuit 505 receives and sends RF letter
Number, RF signal is also referred to as electromagnetic signal, and RF circuit 505 converts electrical signals to electromagnetic signal or electromagnetic signal is converted to telecommunications
Number, and communicated by the electromagnetic signal with communication network and other equipment.RF circuit 505 may include for executing
The known circuit of these functions comprising but it is not limited to antenna system, RF transceiver, one or more amplifiers, tuner, one
A or multiple oscillators, digital signal processor, CODEC (COder-DECoder, coder) chipset, user identifier mould
Block (Subscriber Identity Module, SIM) etc..
Voicefrequency circuit 506 is mainly used for receiving audio data from Peripheral Interface 503, which is converted to telecommunications
Number, and the electric signal is sent to loudspeaker 511.
Loudspeaker 511 is reduced to sound for mobile phone to be passed through RF circuit 505 from the received voice signal of wireless network
And the sound is played to user.
Power management chip 508, the hardware for being connected by CPU502, I/O subsystem and Peripheral Interface are powered
And power management.
The combinations of states user based on the currently used terminal of user may be implemented in mobile terminal provided by the embodiments of the present application
Historical light adjust record, analyze the target brightness value of user preference, and based on the target brightness value to screen intensity into
Row automatic adjustment, and adjusted result more meets the real experiences requirement of user, thus, the user experience is improved.
This Shen can be performed in intelligent regulating device, storage medium and the mobile terminal of the screen intensity provided in above-described embodiment
Please screen intensity provided by any embodiment intelligent adjusting method, have and execute the corresponding functional module of this method and beneficial
Effect.The not technical detail of detailed description in the above-described embodiments, reference can be made to screen provided by the application any embodiment is bright
The intelligent adjusting method of degree.
Note that above are only the preferred embodiment and institute's application technology principle of the application.It will be appreciated by those skilled in the art that
The application is not limited to specific embodiment described here, be able to carry out for a person skilled in the art it is various it is apparent variation,
The protection scope readjusted and substituted without departing from the application.Therefore, although being carried out by above embodiments to the application
It is described in further detail, but the application is not limited only to above embodiments, in the case where not departing from the application design, also
It may include more other equivalent embodiments, and scope of the present application is determined by the scope of the appended claims.
Claims (10)
1. a kind of intelligent adjusting method of screen intensity characterized by comprising
Obtain the application identities and the SOT state of termination of the intensity value of environment light, the application program of front stage operation；
When preset brightness regulation event is triggered, by preconfigured luma prediction model it is determining with the intensity value,
Application program and the corresponding target brightness value of the SOT state of termination, wherein the luma prediction model is to be adjusted to remember according to historical light
Record the deep learning model of training；
Screen intensity is adjusted according to the target brightness value.
2. the method according to claim 1, wherein obtaining the intensity value of environment light, comprising:
Intensity value of the numerical value of ambient light sensor output as environment light is obtained according to the sampling interval of setting；
And after the intensity value for obtaining environment light, further includes:
Judge whether preset brightness regulation event is triggered according to the intensity value.
3. according to the method described in claim 2, it is characterized in that, judging preset brightness regulation event according to the intensity value
Whether it is triggered, comprising:
Calculate the departure of corresponding first intensity value of current sample time the second intensity value corresponding with a upper sampling instant；
When the departure is more than given threshold, determine that brightness regulation event is triggered.
4. according to the method described in claim 2, it is characterized in that, obtaining application identities and the end of the application program of front stage operation
End state, comprising:
When the brightness regulation event is triggered, when obtaining the application identities of the application program of front stage operation, and obtaining system
Between, the present intensity value of screen and network identity be as the SOT state of termination, wherein the network identity is the wireless network of terminal access
The title of network.
5. according to the method described in claim 4, it is characterized in that, the application of intensity value, front stage operation in acquisition environment light
After the application identities and the SOT state of termination of program, further includes:
According to the program number of application program described in default first rule match；
The network numbering of the network identity is matched according to default Second Rule；
Time domain is determined according to the period belonging to the system time, wherein is carried out to preset time section in consecutive days
Respectively obtain the period, the period and time domain associated storage；
The intensity value, program number, time domain, the present intensity value of screen and network numbering are inputted preconfigured bright
Spend prediction model.
6. according to the method described in claim 5, it is characterized in that, being adjusted according to the target brightness value to screen intensity
Section, comprising:
Calculate the difference of the present intensity value and the target brightness value；
When the difference is more than setting control interval value, the difference is divided according to the luminance deviation with the target brightness value
At at least two numerical intervals；
Smooth adjustment is carried out to screen intensity according to the numerical intervals.
7. method according to any one of claim 1 to 6, which is characterized in that further include:
Target image brightness value corresponding with the target brightness value is obtained, and is adjusted currently according to the target image brightness value
Show the brightness of content.
8. a kind of intelligent regulating device of screen intensity characterized by comprising
State acquisition module, for obtaining the intensity value of environment light, the application identities of the application program of front stage operation and terminal shape
State；
Target value determining module, for passing through preconfigured luma prediction mould when preset brightness regulation event is triggered
Type determines corresponding with the intensity value, application program and SOT state of termination target brightness value, wherein the luma prediction model is
The deep learning model of record training is adjusted according to historical light；
Luminance adjustment module, for screen intensity to be adjusted according to the target brightness value.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
The intelligent adjusting method of the screen intensity as described in any one of claims 1 to 7 is realized when row.
10. a kind of mobile terminal, including memory, processor and storage are on a memory and can be in the computer of processor operation
Program, which is characterized in that the processor is realized as described in any one of claims 1 to 7 when executing the computer program
Screen intensity intelligent adjusting method.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711382131.0A CN109951594A (en) | 2017-12-20 | 2017-12-20 | Intelligent adjusting method, device, storage medium and the mobile terminal of screen intensity |
| PCT/CN2018/116794 WO2019120028A1 (en) | 2017-12-20 | 2018-11-21 | Intelligent screen brightness adjustment method and apparatus, and storage medium and mobile terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711382131.0A CN109951594A (en) | 2017-12-20 | 2017-12-20 | Intelligent adjusting method, device, storage medium and the mobile terminal of screen intensity |
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| Publication Number | Publication Date |
|---|---|
| CN109951594A true CN109951594A (en) | 2019-06-28 |
Family
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|---|---|---|---|
| CN201711382131.0A Pending CN109951594A (en) | 2017-12-20 | 2017-12-20 | Intelligent adjusting method, device, storage medium and the mobile terminal of screen intensity |
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| WO (1) | WO2019120028A1 (en) |
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