WO2019120028A1 - Intelligent screen brightness adjustment method and apparatus, and storage medium and mobile terminal - Google Patents

Intelligent screen brightness adjustment method and apparatus, and storage medium and mobile terminal Download PDF

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Publication number
WO2019120028A1
WO2019120028A1 PCT/CN2018/116794 CN2018116794W WO2019120028A1 WO 2019120028 A1 WO2019120028 A1 WO 2019120028A1 CN 2018116794 W CN2018116794 W CN 2018116794W WO 2019120028 A1 WO2019120028 A1 WO 2019120028A1
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Prior art keywords
brightness
value
adjustment
screen
target
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PCT/CN2018/116794
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French (fr)
Chinese (zh)
Inventor
陈岩
刘耀勇
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Oppo广东移动通信有限公司
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Publication of WO2019120028A1 publication Critical patent/WO2019120028A1/en

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    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/10Intensity circuits
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/725Cordless telephones

Definitions

  • the embodiment of the present invention relates to a mobile terminal technology, for example, to an intelligent adjustment method, device, storage medium, and mobile terminal for screen brightness.
  • the current mobile terminal can automatically adjust the brightness of the screen according to the ambient light intensity.
  • the screen brightness adjustment scheme provided in the related art has defects, and cannot meet the actual requirements of the screen brightness of the mobile terminal user. Manual adjustments are made on the basis of automatic adjustment to achieve the desired brightness effect, which limits the intelligence of the screen brightness adjustment.
  • the embodiment of the present invention provides an intelligent adjustment method, device, storage medium, and mobile terminal for screen brightness, which can optimize the adjustment scheme of the screen brightness in the related technology, and improve the intelligence of the mobile terminal.
  • an embodiment of the present application provides an intelligent adjustment method for screen brightness, including: acquiring an intensity value of ambient light, an application identifier of an application running in a foreground, and a terminal state; when a preset brightness adjustment event is triggered. Determining, by a pre-configured brightness prediction model, a target brightness value corresponding to the intensity value, an application, and a terminal state, wherein the brightness prediction model is a deep learning model based on historical brightness adjustment recording training; and according to the target The brightness value adjusts the screen brightness.
  • the embodiment of the present application further provides an intelligent adjusting device for screen brightness, the device comprising: a state acquiring module, configured to acquire an intensity value of ambient light, an application identifier of an application running in a foreground, and a terminal state; a value determining module, configured to determine, by a pre-configured brightness prediction model, a target brightness value corresponding to the intensity value, an application, and a terminal state, when the preset brightness adjustment event is triggered, wherein the brightness prediction model is A depth learning model for recording training according to historical brightness adjustment; and a brightness adjustment module configured to adjust the brightness of the screen according to the target brightness value.
  • a state acquiring module configured to acquire an intensity value of ambient light, an application identifier of an application running in a foreground, and a terminal state
  • a value determining module configured to determine, by a pre-configured brightness prediction model, a target brightness value corresponding to the intensity value, an application, and a terminal state, when the preset brightness adjustment event is triggered, wherein the brightness
  • the embodiment of the present application further provides a computer readable storage medium, where the computer program is stored, and when the program is executed by the processor, the smart adjustment method of the screen brightness as described in the first aspect above is implemented.
  • the embodiment of the present application further provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and executable by the processor, where the processor executes the computer program as described above An intelligent adjustment method for screen brightness as described on the one hand.
  • An embodiment of the present application provides an intelligent adjustment scheme for screen brightness, which obtains an intensity value of ambient light, an application identifier of an application running in the foreground, and a terminal state; and when a preset brightness adjustment event is triggered, the preset brightness is adopted.
  • the prediction model determines a target brightness value corresponding to the intensity value, the application, and the terminal state, and adjusts the screen brightness according to the target brightness value, and implements a historical brightness adjustment record based on the state of the user currently using the terminal, and analyzes the user preference.
  • the target brightness value, and automatically adjusts the screen brightness based on the target brightness value, and the adjustment result is more in line with the user's actual experience requirements.
  • FIG. 1 is a flowchart of a method for intelligently adjusting screen brightness according to an embodiment of the present application.
  • FIG. 2 is a flowchart of another method for intelligently adjusting screen brightness according to an embodiment of the present application.
  • FIG. 3 is a structural block diagram of an intelligent adjusting device for screen brightness according to an embodiment of the present application.
  • FIG. 4 is a structural block diagram of a mobile terminal according to an embodiment of the present application.
  • FIG. 5 is a structural block diagram of a smart phone according to an embodiment of the present application.
  • the brightness prediction model is a deep learning model based on the historical brightness adjustment record training of the mobile terminal user.
  • the number of hidden layers and the number of nodes of each layer of the input layer, the hidden layer and the output layer may be preset, and the first parameter of the deep neural network is initialized, wherein the first parameter includes the offset value and the edge of each layer.
  • the weight of the initial, deep learning model is used. Then, using the sample set corresponding to the historical brightness adjustment record, the deep learning model is trained in two stages of forward propagation and backward propagation; when the error calculated by the backward propagation training reaches the expected error value, the training ends and is obtained. Brightness prediction model.
  • the brightness prediction model is learned by the mobile terminal user's large number of historical screen brightness adjustment operations and adjustment operations, the foreground function is learned, thereby learning the screen brightness according to the user's preference, and improving the current based on the current The state predicts the accuracy of the screen brightness.
  • the brightness adjustment event is satisfied, the current ambient light intensity value, the current running application in the foreground, and the historical adjustment record of the screen backlight brightness are integrated, and the screen brightness parameter suitable for the current scene is obtained through artificial intelligence technology analysis.
  • network parameters such as the number of layers of the neural network model, the number of neurons, the convolution kernel, and/or the weight are not limited.
  • the construction of the brightness prediction model may be performed by the mobile terminal, and the implementation of the model construction operation is not limited in this embodiment.
  • the source of the sample set is the relevant data of the mobile terminal user when performing the screen brightness adjustment operation.
  • the mobile terminal records and records the following information as a historical brightness adjustment record: the current ambient light intensity value (which can also be recorded as light intensity), the application running in the foreground, and the screen adjustment operation before the operation.
  • the first screen brightness, the system time for performing the screen brightness adjustment operation may be referred to simply as the adjustment time), the current network environment status (which may be the network identification), and the second screen brightness after performing the screen adjustment operation.
  • the network identifier may be a name of a network accessed by the mobile terminal, including but not limited to the name of the accessed WIFI (Wireless Fidelity).
  • the above adjustment time may select a time to start the screen brightness adjustment operation, or select a time when the screen brightness adjustment operation is completed, or select an intermediate time between the start time and the end time of the screen brightness adjustment operation.
  • the mobile terminal can store the above historical brightness adjustment record in the form of a data table.
  • the data table is stored in a mobile terminal database.
  • Second screen brightness 300 QQ 20% maximum brightness 1497590695469 SSID1 30% maximum brightness 500 WeChat 40% maximum brightness 1497609107922 SSID2 50% maximum brightness ... ... ... ... ... ... ...
  • one row of data in the above table may be used as a piece of sample data, and the features listed in the above table include the intensity value of the current ambient light (corresponding to the light intensity in the table), the application program, and the operation before the screen brightness adjustment operation is performed.
  • the second screen brightness after the second, but the historical brightness adjustment record is not limited to the above features, and features such as remaining power and/or position information may be increased according to actual needs of the model construction.
  • adjustment time in Table 1 above can be converted into the year, month, day, hour, minute, and second format.
  • 1497590695469 is converted to year, month, day, hour, minute and second format as 2017/6/16 13:24:55.
  • the data in the above table needs to be preprocessed to obtain a sample matrix, and the sample matrix is trained to construct a brightness prediction model.
  • the pre-processing may be:
  • the program number of the application in the mobile terminal is matched according to a preset rule, and the application includes all applications (ie, APPs) installed by the user in the mobile terminal, and each application is given a non-repeating number.
  • the application installed by the user includes QQ, WeChat, Today's headline, Weibo, etc.
  • each application is assigned a program number, that is, the APP ID, and the application is replaced by the APP ID.
  • the program number assigned to QQ is 0, the program number assigned to WeChat is 1, and the program number assigned to today's headlines is 2, whereas, and the maximum number of program numbers depends on the number of applications installed by the user.
  • the network identifier includes, but is not limited to, the SSID information of the WIFI that is recorded by the mobile terminal in the background (also can be understood as the name of all the used WIFIs of the user).
  • Each SSID is given a number that does not overlap. It can be understood that the network number u ⁇ [0, 1, 2...], the maximum network number depends on how many different WIFIs the mobile terminal has accessed in total. Optionally, the number may be numbered according to the SSID of the WIFI accessed by the mobile terminal described in Table 1, and the different SSIDs appearing in Table 1 are assigned non-repeating numbers as the network number, and the maximum network number depends on Table 1. How many different SSIDs have appeared.
  • the 24-hour natural day is divided into several time periods in advance. For example, if the interval is 1 hour, then a natural day has 24 time periods of 24 hours, and 24 time segments are sequentially numbered.
  • the time number corresponding to the access time is t ⁇ [0,1,2,3.. .23], that is, the screen brightness adjustment operation detected between 0:00 am and 1 am is given time number 0, and the screen brightness adjustment operation detected between 1 am and 2 am is given time number 1.
  • . . gives the time number 23 for the screen brightness adjustment operation detected between 23 o'clock and 24 o'clock.
  • the time number is determined according to the time period to which the adjustment time belongs. For example, when the mobile terminal detects that QQ is running in the foreground, the user inputs a brightness adjustment indication, and the adjustment time of the adjustment operation is 13:24:55, and it can be determined that the time number corresponding to the adjustment time is 13.
  • the time interval in which the user uses the mobile terminal can be divided according to the usage habit of the user. For example, if the user is in a sleep state between 12 am and 6 am, and the mobile terminal is not used, the time interval outside the rest time interval can be divided to obtain a time period.
  • the feature set is composed of the intensity value of the ambient light, the program number, the time number, the first screen brightness value and the network number, and the second screen brightness value constitutes a set of expected results, and the feature set and the expected result set form a sample set for use.
  • the supervised learning method trains the pre-designed deep learning network through the sample set to form a brightness prediction model.
  • the maximum brightness is the maximum screen brightness, which is related to the screen attributes. If the maximum brightness is represented by I max , the data of Table 1 is preprocessed according to the above method, and the following sample set table is obtained.
  • Second screen brightness 300 0 20% I max 13 0 30% I max 500 1 40% I max 13 1 50% I max ... ... ... ... ... ... ...
  • the sample matrix D corresponding to the sample set table described in Table 2 is:
  • the sample set table and the sample matrix do not enumerate all historical brightness adjustment records, and the ellipsis represents the omitted historical brightness adjustment record.
  • FIG. 1 is a flowchart of a method for intelligently adjusting screen brightness according to an embodiment of the present application.
  • the method can be performed by an intelligent adjustment device for screen brightness, wherein the device can be implemented by software and/or hardware, and can generally be integrated in a mobile terminal.
  • the method includes: Step 110 - Step 130.
  • step 110 the intensity value of the ambient light, the application identifier of the application running in the foreground, and the terminal status are acquired.
  • the intensity value of the ambient light in the embodiment of the present application is a value indicating that the ambient light intensity is weak.
  • This value can be acquired by a setting sensor built into the mobile terminal.
  • the setting sensor includes but is not limited to an ambient light sensor.
  • the intensity value of the ambient light is acquired by the ambient light sensor at a set sampling interval. According to the intensity value, it can be determined whether the preset brightness adjustment event is triggered.
  • the manner of determining whether the preset brightness adjustment event is triggered may be: using the value output by the ambient light sensor at the current sampling time as the first intensity value of the current sampling time. Reading a second intensity value output by the ambient light sensor at the last sampling time in the set storage space, calculating a deviation amount between the first intensity value and the second intensity value; determining the brightness when the deviation amount exceeds the set threshold The adjustment event is triggered.
  • the setting threshold may be the system default, or may be set by the user according to actual needs, and the setting threshold is used to determine whether to trigger the execution of the screen brightness adjustment event.
  • the application identifier of the application running in the foreground is obtained to determine which application is running in the foreground. And obtaining the current system time, the current brightness value of the screen, and the network identifier as the terminal status, where the network identifier is a name (may be an SSID) of the wireless network accessed by the terminal.
  • the value output by the ambient light sensor is obtained according to the set sampling interval, and the application identifier of the application running in the foreground and the current terminal state are not obtained, so as to reduce the occupation of the detection data.
  • the storage space of the mobile terminal is not accessed.
  • the application running in the foreground refers to an application displayed in the display interface of the mobile terminal, and the user can operate the application running in the foreground.
  • the application A, the application B, and the application C are simultaneously run in the mobile terminal, wherein only the application A is the application displayed in the current mobile terminal display interface, and the application A can be determined to be running in the foreground.
  • the application, application B and application C are determined to be running applications in the background.
  • the application identifier is a character that can uniquely determine the application, including but not limited to the application package name, the application's username (UID), or the application's process name (PID).
  • the terminal may be a mobile terminal equipped with an operating system, including but not limited to a smart phone, a tablet computer, a handheld game console, a notebook computer, and a smart watch.
  • the terminal status includes at least one of a network identifier, a brightness value before the screen brightness adjustment operation (ie, a current screen brightness value), a current system time, a remaining power amount, and location information.
  • the current terminal status includes the current WIFI SSID, the current system time, and the current screen brightness value.
  • step 120 when the preset brightness adjustment event is triggered, the target brightness value corresponding to the intensity value, the application, and the terminal state is determined by the pre-configured brightness prediction model.
  • the brightness prediction model is a deep learning model based on historical brightness adjustment recording training.
  • the construction method of the brightness prediction model may be implemented in the manner described in the embodiments of the present application, or may be constructed in other manners, which is not limited herein.
  • the application, the system time, and the SSID of the time when the brightness adjustment event is triggered are preprocessed to meet the input requirement of the brightness preset model, and the intensity value, the application program, the system time, and the ambient light are obtained.
  • a model input record of the SSID and the current screen brightness value may also be considered as the state of the terminal currently used by the user, including the status of the terminal itself, usage, ambient light conditions, etc.).
  • the method for pre-processing the application, the system time, and the SSID includes: matching the program number a of the current foreground running application according to the preset first rule, and a ⁇ [0, 1, 2...] Matching the network number u of the SSID according to the preset second rule, and u ⁇ [0,1,2...]; according to the above description, it is known that the preset time interval in the natural day is equally divided to obtain the time period, The time segment is associated with the time number and stored in the whitelist. The whitelist is queried according to the time period to which the current system time belongs, and the time number corresponding to the time segment is determined. The intensity value, the program number, the time number, the current brightness value of the screen, and the network number are input to a pre-configured brightness prediction model to calculate a target brightness value by the brightness prediction model.
  • step 130 the screen brightness is adjusted according to the target brightness value.
  • adjusting the brightness of the screen according to the target brightness value may directly replace the current brightness value of the screen by using the target brightness value.
  • the adjustment method here is relatively blunt, and if the target brightness value differs greatly from the current brightness value, direct replacement may result in poor user experience.
  • a preset number of intermediate values may be set between the target brightness value and the current brightness value to avoid a situation in which the brightness of the screen suddenly jumps to make the human eye feel uncomfortable. For example, calculating a difference between the target brightness value and the current brightness value; when the difference exceeds the set adjustment interval value, dividing the difference into at least two value intervals according to a brightness deviation from the target brightness value; The numerical interval is used to smoothly adjust the screen brightness.
  • the at least two value intervals may be a result of equally dividing the interval between the current brightness value and the target brightness value. It is also possible to adjust the current brightness away from the target brightness value with a small value change according to actual needs, and increase the value change amount when approaching the target brightness value. For example, if the target brightness value is 500 and the current brightness value is 400, it can be determined that the difference between the target brightness value and the current brightness value is 100, and the difference can be divided into 4 parts to set the screen brightness every set time interval. The value is increased by 25 to gradually adjust the current brightness value to reach the target brightness value.
  • a change adjustment strategy may be set according to actual needs, for example, before the current brightness value reaches 460, the screen brightness is increased by 10 every set time interval, after the current brightness reaches 460, Adjust the screen brightness by 20 in the set time interval.
  • the technical solution of the embodiment obtains the intensity value of the ambient light, the application identifier of the application running in the foreground, and the terminal state; when the preset brightness adjustment event is triggered, the brightness value is determined by the pre-configured brightness prediction model.
  • the target brightness value corresponding to the application and the terminal state is adjusted according to the target brightness value, and the historical brightness adjustment record based on the user's current use terminal state is combined with the user's historical brightness adjustment record, and the target brightness value of the user preference is analyzed, and based on The target brightness value automatically adjusts the screen brightness, and the adjustment result is more in line with the user's actual experience requirements.
  • the above technical solution solves the problem that the adjustment result of the screen brightness adjustment scheme in the related art is inconsistent with the user's expectation of brightness, resulting in multiple adjustments, and improves the intelligence of the mobile terminal in adjusting the brightness of the screen.
  • FIG. 2 is a flowchart of another method for intelligently adjusting screen brightness according to an embodiment of the present application. As shown in FIG. 2, the method includes: Step 201 - Step 212.
  • step 201 the acquired value of the ambient light sensor is used as the intensity value of the ambient light according to the set sampling interval.
  • the intensity value of the ambient light It is not limited to the above-listed acquisition by the ambient light sensor. It is also possible to capture an image of the external environment through the camera and analyze the image to obtain the intensity value of the ambient light. and many more.
  • step 202 it is determined whether the preset brightness adjustment event is triggered according to the intensity value of the ambient light. If the brightness adjustment event is triggered, step 203 is performed; if the brightness adjustment event is not triggered, return to step 201.
  • step 203 calculating a deviation between a first intensity value collected by the ambient light sensor acquired at the current sampling time and a second intensity value acquired by the ambient light sensor acquired at the previous sampling time; where the deviation amount is greater than or equal to
  • step 203 is performed; when the deviation value is less than the set threshold, step 201 is performed.
  • the current system time may also be obtained, and the time interval between the current system time and the time of the last screen brightness adjustment operation may be determined.
  • the brightness adjustment event may also be triggered.
  • the start timer starts timing to record the time interval between the current time and the time of the last screen brightness adjustment operation.
  • the time threshold may be set by the system or set by the user according to actual needs, and is used to trigger a brightness adjustment event.
  • the set time interval may be 1 hour, the reading of the timer is obtained, and it is determined whether the time interval exceeds 1 hour.
  • the control timer is cleared to re-time after the screen brightness adjustment operation is completed.
  • step 203 the application identifier of the application running in the foreground is obtained, and the system time, the current brightness value of the screen, and the network identifier are obtained as the terminal status.
  • step 204 the program number of the application is matched according to a preset first rule.
  • the first rule may be to assign different numbers to different applications installed in the mobile terminal as program numbers.
  • step 205 the network number of the network identifier is matched according to a preset second rule.
  • the second rule may be to assign different numbers to the SSIDs of different WIFIs accessed by the mobile terminal as the network number.
  • step 206 the time number is determined according to the time period to which the system time belongs.
  • step 207 the intensity value, the program number, the time number, the current brightness value of the screen, and the network number are input to the pre-configured brightness prediction model.
  • step 208 a target brightness value output by the brightness prediction model is acquired, and a difference between the current brightness value and the target brightness value is calculated.
  • step 209 it is determined whether the difference exceeds the set adjustment interval value. If the set adjustment interval value is exceeded, step 210 is performed; if the set adjustment interval value is not exceeded, step 211 is performed.
  • the above adjustment interval value may be analyzed and determined according to the screen brightness history adjustment record of a large number of user groups. For example, after the operation of adjusting the brightness from the current brightness to the target brightness value, the user manually adjusts the brightness of the screen, and it is considered that the brightness deviation between the current brightness value and the target brightness value is larger in the current screen brightness adjustment operation, according to the Regularity, analyze the screen brightness history adjustment record, and determine the setting adjustment interval value.
  • step 210 the difference is divided into at least two numerical intervals according to the deviation of the real-time luminance value acquired during the screen brightness adjustment process from the target luminance value, and the screen brightness is smoothly adjusted according to the numerical interval.
  • the above numerical interval may be divided according to the numerical interval corresponding to the difference.
  • the dividing basis may further be that, during the screen brightness adjustment process, the value interval corresponding to the difference is divided into at least two numerical intervals according to the deviation between the real-time acquired screen brightness value and the target brightness value.
  • the screen brightness is acquired in real time (hereinafter referred to as the real-time screen brightness), and when the real-time screen brightness is far from the target brightness value, the smaller value interval is used for smooth adjustment, in the real-time screen.
  • the brightness is adjusted using a larger value interval.
  • the target brightness value is 500
  • the current screen brightness is 400
  • a threshold value is set to 460.
  • the first A numerical interval (such as a numerical interval of 10) adjusts the brightness of the screen.
  • the real-time screen brightness 460 is equal to the threshold value, and it is determined that the real-time screen brightness is closer to the target brightness value, and the second numerical interval (such as the numerical interval is 20) is used to adjust the screen brightness, and after adjusting 2 times, the screen is adjusted. The brightness reaches the target brightness value.
  • step 212 is performed.
  • step 211 the current brightness value is replaced with the target brightness value.
  • step 212 is performed.
  • step 212 a target image brightness value corresponding to the target brightness value is acquired, and a brightness of the current display content is adjusted according to the target image brightness value.
  • the factor that affects the user's perception of the screen is not only the brightness of the screen, but also the content displayed on the screen affects the viewing experience of the user.
  • a set number of user groups are collected for the historical setting operation of the screen brightness and the brightness of the image displayed on the screen, and the above-mentioned history setting operation is analyzed by using data analysis means to obtain the brightness of the display image matching the screen brightness.
  • the correspondence between the above screen brightness and the image brightness may be stored in the form of a white list.
  • the white list is queried according to the target brightness value, the corresponding image brightness value is determined, and the brightness of the current display content is adjusted according to the image brightness value.
  • the deviation between the current image brightness value and the target image brightness value when the deviation between the current image brightness value and the target image brightness value is large (for example, the difference between the current image brightness value and the target image brightness value is greater than the image brightness adjustment interval value), it may be adjusted according to the brightness adjustment process.
  • the difference interval (the range of the difference between the current image brightness value and the target image brightness value) is divided into at least two sub-intervals, and the image brightness is smoothly adjusted according to the sub-interval.
  • the image brightness adjustment process for realizing the display content is adapted to the smoothness of the screen brightness.
  • the target image brightness value is 800
  • the current image brightness value is 600
  • the image brightness adjustment interval value is 150.
  • the difference between the current image brightness value and the target image brightness value is 200, which is greater than the image brightness adjustment interval value, and the deviation between the current image brightness value and the target image brightness value is considered to be large.
  • the image brightness adjustment process when a threshold value is set to 750 and the real-time image brightness is less than the threshold value 750, it is determined that the real-time image brightness is far from the target image brightness value, and the first numerical interval (eg, the numerical interval is 20) is used. The screen brightness is adjusted.
  • the second numerical value interval (such as the numerical interval is 40) is used to adjust the image brightness, and after adjusting once, The image brightness reaches the target image brightness value.
  • step 212 is not a necessary step of the embodiment of the present application, that is, the step 212 may or may not be performed. Meanwhile, the execution order of step 212 is not limited to the case described in the embodiment of the present application, and step 212 may be performed after determining the target brightness value.
  • FIG. 3 is a structural block diagram of an intelligent adjusting device for screen brightness according to an embodiment of the present application.
  • the device may be implemented by software and/or hardware, and may be integrated into the mobile terminal for performing an intelligent adjustment method of the screen brightness provided by the embodiment of the present application.
  • the device includes a state acquisition module 310, a target value determination module 320, and a brightness adjustment module 330.
  • the state obtaining module 310 is configured to acquire an intensity value of the ambient light, an application identifier of the application running in the foreground, and a terminal state.
  • the target value determining module 320 is configured to determine a target brightness value corresponding to the intensity value, an application, and a terminal state by a pre-configured brightness prediction model when the preset brightness adjustment event is triggered, wherein the brightness prediction model A deep learning model for training training is adjusted according to historical brightness.
  • the brightness adjustment module 330 is configured to adjust the brightness of the screen according to the target brightness value.
  • the technical solution of the embodiment provides an intelligent adjusting device for screen brightness, which realizes the historical brightness adjustment record based on the user's current use state combined with the user, analyzes the target brightness value preferred by the user, and automatically adjusts the screen brightness based on the target brightness value. Adjustment, and the adjustment results are more in line with the user's actual experience requirements.
  • the above technical solution solves the problem that the adjustment result of the screen brightness adjustment scheme in the related art is inconsistent with the user's expectation of brightness, resulting in multiple adjustments, and improves the intelligence of the mobile terminal in adjusting the brightness of the screen.
  • the state obtaining module 310 is further configured to obtain, according to the set sampling interval, a value output by the ambient light sensor as an intensity value of the ambient light;
  • the screen brightness intelligent adjusting device further includes: an event determining module.
  • the event determination module is configured to determine whether the preset brightness adjustment event is triggered according to the intensity value.
  • the event determining module is further configured to calculate a deviation amount between the first intensity value corresponding to the current sampling time and the second intensity value corresponding to the previous sampling time; and determine the brightness adjustment when the deviation exceeds the set threshold The event is triggered.
  • the state obtaining module 310 is further configured to: when the brightness adjustment event is triggered, acquire an application identifier of an application running in the foreground, and obtain a system time, a current brightness value of the screen, and a network identifier as a terminal state, where The network identifier is the name of the wireless network accessed by the terminal.
  • the screen brightness intelligent adjusting device further includes: a preprocessing module and a model input module.
  • the pre-processing module is configured to match the program number of the application according to the preset first rule; according to the preset second rule Matching the network number of the network identifier; determining a time number according to the time period to which the system time belongs, wherein the time period is obtained by equally dividing the preset time interval in the natural day, and the time period is stored in association with the time number;
  • the model input module is configured to input the intensity value, the program number, the time number, the current brightness value of the screen, and the network number into a pre-configured brightness prediction model.
  • the brightness adjustment module 330 is further configured to calculate a difference between the current brightness value and the target brightness value; and when the difference exceeds the set adjustment interval value, according to a brightness deviation from the target brightness value The difference is divided into at least two numerical intervals; and the screen brightness is smoothly adjusted according to the numerical interval. When the difference does not exceed the set adjustment interval value, the current brightness value is directly replaced with the target brightness value to achieve adjustment of the screen brightness.
  • the screen brightness intelligent adjusting device further includes: a content brightness adjusting module.
  • the content brightness adjustment module is configured to acquire a target image brightness value corresponding to the target brightness value, and adjust a brightness of the current display content according to the target image brightness value.
  • the content brightness adjustment module is further configured to: calculate a difference between the current image brightness value and the target image brightness value; and when the difference exceeds a set image brightness adjustment interval value, adjust according to the brightness The deviation of the real-time image luminance value acquired in the process from the target image luminance value divides the difference into at least two numerical intervals; and smooth adjustment of image brightness according to the numerical interval.
  • Embodiments of the present application also provide a storage medium including computer executable instructions for performing an intelligent adjustment method of screen brightness when executed by a computer processor, the method comprising: acquiring ambient light The intensity value, the application identifier of the application running in the foreground, and the terminal status; when the preset brightness adjustment event is triggered, determining the target brightness value corresponding to the intensity value, the application, and the terminal state by using the pre-configured brightness prediction model
  • the brightness prediction model is a depth learning model that is based on historical brightness adjustment recording training; and the screen brightness is adjusted according to the target brightness value.
  • Storage medium Any of various types of memory devices or storage devices.
  • the term "storage medium” is intended to include: a mounting medium such as a CD-ROM, a floppy disk or a tape device; a computer system memory or a random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.
  • Non-volatile memory such as flash memory, magnetic media (such as hard disk or optical storage); registers or other similar types of memory elements, and the like.
  • the storage medium may also include other types of memory or a combination thereof. Additionally, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system, the second computer system being coupled to the first computer system via a network, such as the Internet.
  • the second computer system can provide program instructions to the first computer for execution.
  • storage medium can include two or more storage media that can reside in different locations (eg, in different computer systems connected through a network).
  • a storage medium may store program instructions (eg, embodied as a computer program) executable by one or more processors.
  • the computer executable instructions are not limited to the intelligent adjustment operation of the screen brightness as described above, and may also execute the screen provided by any embodiment of the present application. Related operations in the intelligent adjustment method of brightness.
  • FIG. 4 is a structural block diagram of a mobile terminal according to an embodiment of the present application.
  • the memory 410 and the processor 420 are configured to store a computer program, a brightness prediction model, and a historical intensity value, etc.; the central processor 420 reads and executes a computer program stored in the memory 410.
  • the processor 420 when executing the computer program, implements the following steps: acquiring an intensity value of ambient light, an application identifier of an application running in the foreground, and a terminal status; and pre-configuring when a preset brightness adjustment event is triggered.
  • the brightness prediction model determines a target brightness value corresponding to the intensity value, an application, and a terminal state, wherein the brightness prediction model is a depth learning model based on historical brightness adjustment recording training; and the screen brightness is performed according to the target brightness value Adjustment.
  • FIG. 5 is a structural block diagram of a smart phone according to an embodiment of the present application.
  • the smart phone may include: a memory 501, a central processing unit (CPU) 502 (also referred to as a processor, hereinafter referred to as a CPU), a peripheral interface 503, and an RF (Radio Frequency) circuit.
  • CPU central processing unit
  • RF Radio Frequency
  • 505 audio circuit 506, speaker 511, display 512, power management chip 508, input/output (I/O) subsystem 509, other input/control devices 510, and external port 504, through one or more communication buses or Signal line 507 is in communication.
  • the illustrated smartphone 500 is merely one example of a mobile terminal, and that the smartphone 500 may have more or fewer components than those shown in the figures, and two or more components may be combined. Or it can have different component configurations.
  • the various components shown in the figures can be implemented in hardware, software, or a combination of hardware and software, including one or more signal processing and/or application specific integrated circuits.
  • the memory 501 can be accessed by the CPU 502, the peripheral interface 503, etc., and the memory 501 can include a high speed random access memory, and can also include a non-volatile memory, such as one or more disk storage devices, flash memory. Devices, or other volatile solid-state storage devices.
  • the computer program is stored in the memory 511, and a face state understanding model, a face image, a white list, and the like can also be stored.
  • Peripheral interface 503 can connect the input and output peripherals of the device to CPU 502 and memory 501.
  • the I/O subsystem 509 can connect input and output peripherals on the device, such as screen 512 and other input/control devices 510, to peripheral interface 503.
  • the I/O subsystem 509 can include a display controller 5091 and one or more input controllers 5092 for controlling other input/control devices 510.
  • one or more input controllers 5092 receive electrical signals from other input/control devices 510 or transmit electrical signals to other input/control devices 510, and other input/control devices 510 may include physical buttons (press buttons, rocker buttons, etc.) ), dial, slide switch, joystick, click wheel.
  • the input controller 5092 can be connected to any of the following: a keyboard, an infrared port, a USB interface, and a pointing device such as a mouse.
  • Screen 512 is an input interface and an output interface between the user terminal and the user, and displays the visual output to the user.
  • the visual output may include graphics, text, icons, video, and the like.
  • Display controller 5051 in I/O subsystem 509 receives an electrical signal from screen 512 or an electrical signal to screen 512.
  • Screen 512 detects contact on the screen
  • display controller 5091 converts the detected contact into interaction with a user interface object displayed on screen 512, i.e., enables human-computer interaction, and the user interface object displayed on screen 512 can be run
  • the device may also include a light mouse, which is a touch sensitive surface that does not display a visual output, or an extension of a touch sensitive surface formed by the screen.
  • the RF circuit 505 establishes communication between the mobile phone and the wireless network (ie, the network side) to implement data reception and transmission between the mobile phone and the wireless network. For example, sending and receiving short messages, emails, and the like.
  • the RF circuit 505 receives and transmits an RF signal, also referred to as an electromagnetic signal, and the RF circuit 505 converts the electrical signal into an electromagnetic signal or converts the electromagnetic signal into an electrical signal, and through the electromagnetic signal to the communication network and others The device communicates.
  • RF circuitry 505 may include known circuitry for performing these functions including, but not limited to, an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC ( COder-DE Coder, Chipset, Subscriber Identity Module (SIM), etc.
  • CODEC COder-DE Coder, Chipset, Subscriber Identity Module (SIM)
  • the audio circuit 506 receives audio data from the peripheral interface 503, converts the audio data into an electrical signal, and transmits the electrical signal to the speaker 511.
  • the speaker 511 restores the voice signal received by the mobile phone from the wireless network through the RF circuit 505 to sound and plays the sound to the user.
  • the power management chip 508 provides power and power management for the hardware connected to the CPU 502, the I/O subsystem, and the peripheral interface.
  • the mobile terminal provided by the embodiment of the present application can realize the historical brightness adjustment record based on the user's current use state and the user's historical brightness adjustment value, and automatically adjust the screen brightness based on the target brightness value, and adjust The result is more in line with the user's actual experience requirements, thereby improving the user experience.
  • the intelligent adjustment device, the storage medium and the mobile terminal provided in the above embodiments can perform the intelligent adjustment method of the screen brightness provided by any embodiment of the present application, and have the corresponding functional modules and beneficial effects of performing the method.
  • the intelligent adjustment method of the screen brightness provided by any embodiment of the present application.

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Abstract

Disclosed are an intelligent screen brightness adjustment method and apparatus, and a storage medium and a mobile terminal. The method comprises: acquiring an intensity value of ambient light, an application identifier of an application program running in the foreground, and a terminal state; when a pre-set brightness adjustment event is triggered, determining, by means of a pre-configured brightness prediction model, a target brightness value corresponding to the intensity value, the application program and the terminal state, wherein the brightness prediction model is a deep learning model trained according to a historical brightness adjustment record; and adjusting the screen brightness according to the target brightness value.

Description

屏幕亮度的智能调节方法、装置、存储介质及移动终端Intelligent adjustment method, device, storage medium and mobile terminal for screen brightness
本申请要求在2017年12月20日提交中国专利局、申请号为201711382131.0的中国专利申请的优先权,该申请的全部内容通过引用结合在本申请中。The present application claims the priority of the Chinese Patent Application No. PCT Application No.
技术领域Technical field
本申请实施例涉及移动终端技术,例如涉及一种屏幕亮度的智能调节方法、装置、存储介质及移动终端。The embodiment of the present invention relates to a mobile terminal technology, for example, to an intelligent adjustment method, device, storage medium, and mobile terminal for screen brightness.
背景技术Background technique
目前,移动终端被越来越多的应用于生活当中,用户长时间的盯着移动终端屏幕看,若屏幕亮度不合适,则会刺激用户的眼睛。为解决该问题,当前移动终端可以实现根据外部环境光强度来自动调节屏幕的亮度,但是,相关技术中提供的屏幕亮度调节方案存在缺陷,无法满足移动终端用户对屏幕亮度的实际要求,用户往往会在自动调节的基础上再进行手动调节以达到预期的亮度效果,使屏幕亮度调节的智能程度受限。At present, mobile terminals are increasingly used in life, and users are staring at the screen of the mobile terminal for a long time. If the brightness of the screen is not suitable, the user's eyes will be stimulated. In order to solve the problem, the current mobile terminal can automatically adjust the brightness of the screen according to the ambient light intensity. However, the screen brightness adjustment scheme provided in the related art has defects, and cannot meet the actual requirements of the screen brightness of the mobile terminal user. Manual adjustments are made on the basis of automatic adjustment to achieve the desired brightness effect, which limits the intelligence of the screen brightness adjustment.
发明内容Summary of the invention
本申请实施例提供一种屏幕亮度的智能调节方法、装置、存储介质及移动终端,可以优化相关技术中屏幕亮度的调节方案,提高移动终端的智能度。The embodiment of the present invention provides an intelligent adjustment method, device, storage medium, and mobile terminal for screen brightness, which can optimize the adjustment scheme of the screen brightness in the related technology, and improve the intelligence of the mobile terminal.
第一方面,本申请实施例提供了一种屏幕亮度的智能调节方法,包括:获取环境光的强度值、前台运行的应用程序的应用标识及终端状态;在预设的亮度调节事件被触发时,通过预先配置的亮度预测模型确定与所述强度值、应用程序及终端状态对应的目标亮度值,其中,所述亮度预测模型为根据历史亮度调节记录训练的深度学习模型;以及根据所述目标亮度值对屏幕亮度进行调节。In a first aspect, an embodiment of the present application provides an intelligent adjustment method for screen brightness, including: acquiring an intensity value of ambient light, an application identifier of an application running in a foreground, and a terminal state; when a preset brightness adjustment event is triggered. Determining, by a pre-configured brightness prediction model, a target brightness value corresponding to the intensity value, an application, and a terminal state, wherein the brightness prediction model is a deep learning model based on historical brightness adjustment recording training; and according to the target The brightness value adjusts the screen brightness.
第二方面,本申请实施例还提供了一种屏幕亮度的智能调节装置,该装置包括:状态获取模块,设置为获取环境光的强度值、前台运行的应用程序的应 用标识及终端状态;目标值确定模块,设置为在预设的亮度调节事件被触发时,通过预先配置的亮度预测模型确定与所述强度值、应用程序及终端状态对应的目标亮度值,其中,所述亮度预测模型为根据历史亮度调节记录训练的深度学习模型;以及亮度调节模块,设置为根据所述目标亮度值对屏幕亮度进行调节。In a second aspect, the embodiment of the present application further provides an intelligent adjusting device for screen brightness, the device comprising: a state acquiring module, configured to acquire an intensity value of ambient light, an application identifier of an application running in a foreground, and a terminal state; a value determining module, configured to determine, by a pre-configured brightness prediction model, a target brightness value corresponding to the intensity value, an application, and a terminal state, when the preset brightness adjustment event is triggered, wherein the brightness prediction model is A depth learning model for recording training according to historical brightness adjustment; and a brightness adjustment module configured to adjust the brightness of the screen according to the target brightness value.
第三方面,本申请实施例还提供了一种计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现如上述第一方面所述的屏幕亮度的智能调节方法。In a third aspect, the embodiment of the present application further provides a computer readable storage medium, where the computer program is stored, and when the program is executed by the processor, the smart adjustment method of the screen brightness as described in the first aspect above is implemented.
第四方面,本申请实施例还提供了一种移动终端,包括存储器,处理器及存储在存储器上并可在处理器运行的计算机程序,所述处理器执行所述计算机程序时实现如上述第一方面所述的屏幕亮度的智能调节方法。In a fourth aspect, the embodiment of the present application further provides a mobile terminal, including a memory, a processor, and a computer program stored in the memory and executable by the processor, where the processor executes the computer program as described above An intelligent adjustment method for screen brightness as described on the one hand.
本申请实施例提供一种屏幕亮度的智能调节方案,通过获取环境光的强度值、前台运行的应用程序的应用标识及终端状态;在预设的亮度调节事件被触发时,通过预先配置的亮度预测模型确定与该强度值、应用程序及终端状态对应的目标亮度值,根据该目标亮度值对屏幕亮度进行调节,实现基于用户当前使用终端的状态结合用户的历史亮度调节记录,分析出用户偏好的目标亮度值,并基于该目标亮度值对屏幕亮度进行自动调节,且调节结果更符合用户的实际体验要求。采用上述技术方案,解决了相关技术中因屏幕亮度调节方案的调节结果与用户对亮度的心里预期不相符导致多次调节的问题,提升了移动终端在屏幕亮度调节方面的智能度。An embodiment of the present application provides an intelligent adjustment scheme for screen brightness, which obtains an intensity value of ambient light, an application identifier of an application running in the foreground, and a terminal state; and when a preset brightness adjustment event is triggered, the preset brightness is adopted. The prediction model determines a target brightness value corresponding to the intensity value, the application, and the terminal state, and adjusts the screen brightness according to the target brightness value, and implements a historical brightness adjustment record based on the state of the user currently using the terminal, and analyzes the user preference. The target brightness value, and automatically adjusts the screen brightness based on the target brightness value, and the adjustment result is more in line with the user's actual experience requirements. The above technical solution solves the problem that the adjustment result of the screen brightness adjustment scheme in the related art is inconsistent with the user's expectation of brightness, resulting in multiple adjustments, and improves the intelligence of the mobile terminal in adjusting the brightness of the screen.
附图说明DRAWINGS
图1是本申请实施例提供的一种屏幕亮度的智能调节方法的流程图。FIG. 1 is a flowchart of a method for intelligently adjusting screen brightness according to an embodiment of the present application.
图2是本申请实施例提供的另一种屏幕亮度的智能调节方法的流程图。FIG. 2 is a flowchart of another method for intelligently adjusting screen brightness according to an embodiment of the present application.
图3是本申请实施例提供的一种屏幕亮度的智能调节装置的结构框图。FIG. 3 is a structural block diagram of an intelligent adjusting device for screen brightness according to an embodiment of the present application.
图4是本申请实施例提供的一种移动终端的结构框图。FIG. 4 is a structural block diagram of a mobile terminal according to an embodiment of the present application.
图5是本申请实施例提供的一种智能手机的结构框图。FIG. 5 is a structural block diagram of a smart phone according to an embodiment of the present application.
具体实施方式Detailed ways
下面结合附图和实施例对本申请作相关说明。可以理解的是,此处所描述的具体实施例仅仅用于解释本申请,而非对本申请的限定。另外还需要说明的是,为了便于描述,附图中仅示出了与本申请相关的部分而非全部结构。The present application will be described in conjunction with the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting. In addition, it should be noted that, for the convenience of description, only some but not all of the structures related to the present application are shown in the drawings.
在讨论示例性实施例之前应当提到的是,一些示例性实施例被描述成作为流程图描绘的处理或方法。虽然流程图将多个步骤描述成顺序的处理,但是其中的许多步骤可以被并行地、并发地或者同时实施。此外,多个步骤的顺序可以被重新安排。当其操作完成时所述处理可以被终止,但是还可以具有未包括在附图中的附加步骤。所述处理可以对应于方法、函数、规程、子例程、子程序等等。It should be noted that prior to discussing the exemplary embodiments, some exemplary embodiments are described as a process or method depicted as a flowchart. Although the flowchart depicts multiple steps as a sequential process, many of the steps can be implemented in parallel, concurrently, or concurrently. In addition, the order of the multiple steps can be rearranged. The process may be terminated when its operation is completed, but may also have additional steps not included in the figures. The processing may correspond to methods, functions, procedures, subroutines, subroutines, and the like.
需要说明的是,亮度预测模型是基于移动终端用户的历史亮度调节记录训练的深度学习模型。示例性的,可以预先设置隐藏层的数目以及输入层、隐藏层和输出层各层的节点数,以及初始化深度神经网络的第一参数,其中,第一参数包括各层的偏置值及边的权重,初步得到深度学习模型。然后,利用历史亮度调节记录对应的样本集合对该深度学习模型进行前向传播和后向传播两个阶段的训练;在后向传播训练计算得到的误差达到期望误差值时,训练结束,并得到亮度预测模型。由于该亮度预测模型是由移动终端用户的大量的历史屏幕亮度调节操作及调节操作时前台运行的应用程序中学习出有效地特征,从而,可以学习出符合用户偏好的屏幕亮度,提升了基于当前状态预测屏幕亮度的准确度。在满足亮度调节事件时,综合当前环境光的强度值、当前在前台运行的应用程序及屏幕背光亮度的历史调节记录,通过人工智能技术分析得出适合当前场景的屏幕亮度参数。It should be noted that the brightness prediction model is a deep learning model based on the historical brightness adjustment record training of the mobile terminal user. Exemplarily, the number of hidden layers and the number of nodes of each layer of the input layer, the hidden layer and the output layer may be preset, and the first parameter of the deep neural network is initialized, wherein the first parameter includes the offset value and the edge of each layer. The weight of the initial, deep learning model. Then, using the sample set corresponding to the historical brightness adjustment record, the deep learning model is trained in two stages of forward propagation and backward propagation; when the error calculated by the backward propagation training reaches the expected error value, the training ends and is obtained. Brightness prediction model. Since the brightness prediction model is learned by the mobile terminal user's large number of historical screen brightness adjustment operations and adjustment operations, the foreground function is learned, thereby learning the screen brightness according to the user's preference, and improving the current based on the current The state predicts the accuracy of the screen brightness. When the brightness adjustment event is satisfied, the current ambient light intensity value, the current running application in the foreground, and the historical adjustment record of the screen backlight brightness are integrated, and the screen brightness parameter suitable for the current scene is obtained through artificial intelligence technology analysis.
需要说明的是,本申请实施例中对该神经网络模型的层数、神经元的数量、卷积核和/或权重等网络参数不作限定。It should be noted that, in the embodiment of the present application, network parameters such as the number of layers of the neural network model, the number of neurons, the convolution kernel, and/or the weight are not limited.
需要说明的是,该亮度预测模型的构建可以由移动终端执行,对于执行模型构建操作的执行主体本申请实施例并不作限定。It should be noted that the construction of the brightness prediction model may be performed by the mobile terminal, and the implementation of the model construction operation is not limited in this embodiment.
样本集合的来源是移动终端用户在执行屏幕亮度调节操作时的相关数据。 在每次用户进行屏幕亮度调节时,移动终端记录并将以下信息作为历史亮度调节记录:当前环境光的强度值(也可以记录为光强)、前台运行的应用程序、执行屏幕调节操作前的第一屏幕亮度、执行屏幕亮度调节操作的系统时间(可以简称为调节时间)、当前网络环境状态(可以是网络标识)及执行屏幕调节操作后的第二屏幕亮度等。其中,网络标识可以为移动终端接入的网络的名称,包括但不限于接入的WIFI(无线保真)的名称。需要说明的是,上述调节时间可以选择开始执行屏幕亮度调节操作的时间,或者选择屏幕亮度调节操作执行完成的时间,或者选择屏幕亮度调节操作的开始时间与结束时间的中间时间。移动终端可以以数据表的形式存储上述历史亮度调节记录。该数据表存储于移动终端数据库。The source of the sample set is the relevant data of the mobile terminal user when performing the screen brightness adjustment operation. Each time the user performs screen brightness adjustment, the mobile terminal records and records the following information as a historical brightness adjustment record: the current ambient light intensity value (which can also be recorded as light intensity), the application running in the foreground, and the screen adjustment operation before the operation. The first screen brightness, the system time for performing the screen brightness adjustment operation (may be referred to simply as the adjustment time), the current network environment status (which may be the network identification), and the second screen brightness after performing the screen adjustment operation. The network identifier may be a name of a network accessed by the mobile terminal, including but not limited to the name of the accessed WIFI (Wireless Fidelity). It should be noted that the above adjustment time may select a time to start the screen brightness adjustment operation, or select a time when the screen brightness adjustment operation is completed, or select an intermediate time between the start time and the end time of the screen brightness adjustment operation. The mobile terminal can store the above historical brightness adjustment record in the form of a data table. The data table is stored in a mobile terminal database.
表1 历史亮度调节记录Table 1 Historical brightness adjustment record
光强Light intensity 应用程序application 第一屏幕亮度First screen brightness 调节时间Adjustment time 网络标识Network identification 第二屏幕亮度Second screen brightness
300300 QQQQ 20%最大亮度20% maximum brightness 14975906954691497590695469 SSID1SSID1 30%最大亮度30% maximum brightness
500500 微信WeChat 40%最大亮度40% maximum brightness 14976091079221497609107922 SSID2SSID2 50%最大亮度50% maximum brightness
...... ...... ...... ...... ...... ......
需要说明的是,可以将上述表格中的一行数据作为一条样本数据,上述表格中列举的特征包括当前环境光的强度值(对应表格中的光强)、应用程序、执行屏幕亮度调节操作前的第一屏幕亮度、执行屏幕亮度调节操作的时间(对应表格中的调节时间)、接入网络的网络标识(可以是SSID,Service Set Identifier,服务集标识,表示WIFI名称)以及执行屏幕亮度调节操作后的第二屏幕亮度,但历史亮度调节记录并不限于上述特征,还可以根据模型构建的实际需要增加剩余电量和/或位置信息等特征。另外,上述表1中的调节时间可以转换为年月日时分秒格式。例如,1497590695469转换为年月日时分秒格式为2017/6/16 13:24:55。It should be noted that one row of data in the above table may be used as a piece of sample data, and the features listed in the above table include the intensity value of the current ambient light (corresponding to the light intensity in the table), the application program, and the operation before the screen brightness adjustment operation is performed. First screen brightness, time to perform screen brightness adjustment operation (corresponding to adjustment time in the table), network identification of access network (may be SSID, Service Set Identifier, service set identifier, indicating WIFI name) and performing screen brightness adjustment operation The second screen brightness after the second, but the historical brightness adjustment record is not limited to the above features, and features such as remaining power and/or position information may be increased according to actual needs of the model construction. In addition, the adjustment time in Table 1 above can be converted into the year, month, day, hour, minute, and second format. For example, 1497590695469 is converted to year, month, day, hour, minute and second format as 2017/6/16 13:24:55.
可以理解的是,需要对上述表格中的数据进行预处理得到样本矩阵,基于样本矩阵进行训练,构建亮度预测模型。在本申请实施例中,该预处理可以是:It can be understood that the data in the above table needs to be preprocessed to obtain a sample matrix, and the sample matrix is trained to construct a brightness prediction model. In the embodiment of the present application, the pre-processing may be:
根据预设规则匹配移动终端中应用程序的程序编号,该应用程序包括后台统计出的用户在移动终端中安装的所有应用程序(即APP),为每个应用程序赋 予不重复的数字。假设,用户安装的应用程序包括QQ、微信、今日头条、微博等APP,则为每个应用程序分配一个程序编号,即APP ID,以该APP ID替代应用程序。例如,为QQ分配程序编号为0,为微信分配程序编号为1,为今日头条分配程序编号为2,.....,程序编号的最大编号取决于用户安装的应用程序的数量。可选的,还可以基于表1中记载的应用程序进行编号,即为表1中出现的多个不重复的应用程序分别赋予不重复的数字,作为程序编号,程序编号的最大编号取决于表1中应用程序的数量。The program number of the application in the mobile terminal is matched according to a preset rule, and the application includes all applications (ie, APPs) installed by the user in the mobile terminal, and each application is given a non-repeating number. Assume that the application installed by the user includes QQ, WeChat, Today's headline, Weibo, etc., and each application is assigned a program number, that is, the APP ID, and the application is replaced by the APP ID. For example, the program number assigned to QQ is 0, the program number assigned to WeChat is 1, and the program number assigned to today's headlines is 2, ....., and the maximum number of program numbers depends on the number of applications installed by the user. Optionally, it may also be numbered based on the application described in Table 1, that is, multiple non-repeating applications appearing in Table 1 are respectively assigned non-repeating numbers, as the program number, the maximum number of the program number depends on the table. The number of applications in 1.
根据预设规则匹配移动终端的网络标识的网络编号,该网络标识包括但不限于后台统计出移动终端历史接入的WIFI的SSID信息(也可以理解为用户所有使用过的WIFI的名称),为每个SSID赋予不重叠的数字。可以理解的是网络编号u∈[0,1,2...],最大网络编号取决于移动终端总共接入过的多少个不同的WIFI。可选的,还可以基于表1中记载的移动终端接入的WIFI的SSID进行编号,为表1中出现的不同的SSID赋予不重复的数字,作为网络编号,最大网络编号取决于表1中出现过多少的不同的SSID。Matching the network ID of the network identifier of the mobile terminal according to the preset rule, where the network identifier includes, but is not limited to, the SSID information of the WIFI that is recorded by the mobile terminal in the background (also can be understood as the name of all the used WIFIs of the user). Each SSID is given a number that does not overlap. It can be understood that the network number u ∈ [0, 1, 2...], the maximum network number depends on how many different WIFIs the mobile terminal has accessed in total. Optionally, the number may be numbered according to the SSID of the WIFI accessed by the mobile terminal described in Table 1, and the different SSIDs appearing in Table 1 are assigned non-repeating numbers as the network number, and the maximum network number depends on Table 1. How many different SSIDs have appeared.
预先将自然日内24小时均分为若干个时间段。例如,若以1小时为时间间隔,则一个自然日24小时具有24个时间段,分别为24个时间段进行顺序编号,访问时间对应的时间编号t∈[0,1,2,3...23],即为凌晨0点至凌晨1点之间检测到的屏幕亮度调节操作赋予时间编号0,为凌晨1点至凌晨2点之间检测到的屏幕亮度调节操作赋予时间编号1,......为23点至24点之间检测到的屏幕亮度调节操作赋予时间编号23。从而,根据该调节时间所属的时间段确定时间编号。例如,移动终端在检测到QQ于前台运行时,用户输入亮度调节指示,且调节操作的调节时间是13:24:55,可以确定调节时间对应的时间编号是13。The 24-hour natural day is divided into several time periods in advance. For example, if the interval is 1 hour, then a natural day has 24 time periods of 24 hours, and 24 time segments are sequentially numbered. The time number corresponding to the access time is t∈[0,1,2,3.. .23], that is, the screen brightness adjustment operation detected between 0:00 am and 1 am is given time number 0, and the screen brightness adjustment operation detected between 1 am and 2 am is given time number 1. ..... gives the time number 23 for the screen brightness adjustment operation detected between 23 o'clock and 24 o'clock. Thereby, the time number is determined according to the time period to which the adjustment time belongs. For example, when the mobile terminal detects that QQ is running in the foreground, the user inputs a brightness adjustment indication, and the adjustment time of the adjustment operation is 13:24:55, and it can be determined that the time number corresponding to the adjustment time is 13.
可以理解的是,由于用户不可能24小时均使用移动终端,也可以根据用户的使用习惯,对用户使用移动终端的时间区间进行划分。例如,用户在凌晨12点至早晨6点之间处于睡眠状态,不会使用移动终端,则可以对刨除这一休息时间区间之外的时间区间进行划分,得到时间段。It can be understood that, since the user cannot use the mobile terminal 24 hours a day, the time interval in which the user uses the mobile terminal can be divided according to the usage habit of the user. For example, if the user is in a sleep state between 12 am and 6 am, and the mobile terminal is not used, the time interval outside the rest time interval can be divided to obtain a time period.
由环境光的强度值、程序编号、时间编号、第一屏幕亮度值及网络编号构 成特征集合,以第二屏幕亮度值构成预期结果集合,由特征集合及预期结果集合构成样本集合,以便于采用监督式学习方式,通过该样本集合对预先设计的深度学习网络进行训练,构成亮度预测模型。示例性的,最大亮度为最大屏幕亮度,该数值与屏幕属性相关。若以I max代表最大亮度,按照上述方法对表1的数据进行预处理,得到如下样本集合表。 The feature set is composed of the intensity value of the ambient light, the program number, the time number, the first screen brightness value and the network number, and the second screen brightness value constitutes a set of expected results, and the feature set and the expected result set form a sample set for use. The supervised learning method trains the pre-designed deep learning network through the sample set to form a brightness prediction model. Illustratively, the maximum brightness is the maximum screen brightness, which is related to the screen attributes. If the maximum brightness is represented by I max , the data of Table 1 is preprocessed according to the above method, and the following sample set table is obtained.
表2 样本集合表Table 2 Sample Collection Table
光强Light intensity 应用程序application 第一屏幕亮度First screen brightness 调节时间Adjustment time 网络标识Network identification 第二屏幕亮度Second screen brightness
300300 00 20%I max 20% I max 1313 00 30%I max 30% I max
500500 11 40%I max 40% I max 1313 11 50%I max 50% I max
...... ...... ...... ...... ...... ......
表2所述的样本集合表对应的样本矩阵D为:The sample matrix D corresponding to the sample set table described in Table 2 is:
Figure PCTCN2018116794-appb-000001
Figure PCTCN2018116794-appb-000001
其中,上述样本集合表及样本矩阵并未列举全部历史亮度调节记录,省略号代表省略的历史亮度调节记录。The sample set table and the sample matrix do not enumerate all historical brightness adjustment records, and the ellipsis represents the omitted historical brightness adjustment record.
图1为本申请实施例提供的一种屏幕亮度的智能调节方法的流程图。该方法可以由屏幕亮度的智能调节装置来执行,其中,该装置可由软件和/或硬件实现,一般可集成在移动终端中。如图1所示,该方法包括:步骤110-步骤130。FIG. 1 is a flowchart of a method for intelligently adjusting screen brightness according to an embodiment of the present application. The method can be performed by an intelligent adjustment device for screen brightness, wherein the device can be implemented by software and/or hardware, and can generally be integrated in a mobile terminal. As shown in FIG. 1, the method includes: Step 110 - Step 130.
在步骤110中,获取环境光的强度值、前台运行的应用程序的应用标识及终端状态。In step 110, the intensity value of the ambient light, the application identifier of the application running in the foreground, and the terminal status are acquired.
需要说明的是,本申请实施例中的环境光的强度值为表征环境光强弱的数值。该数值可以由内置于移动终端的设定传感器采集。其中,设定传感器包括但不限于环境光传感器。例如,按照设定的采样间隔由环境光传感器获取环境光的强度值。根据该强度值可以判断预设的亮度调节事件是否被触发。It should be noted that the intensity value of the ambient light in the embodiment of the present application is a value indicating that the ambient light intensity is weak. This value can be acquired by a setting sensor built into the mobile terminal. Wherein, the setting sensor includes but is not limited to an ambient light sensor. For example, the intensity value of the ambient light is acquired by the ambient light sensor at a set sampling interval. According to the intensity value, it can be determined whether the preset brightness adjustment event is triggered.
示例性的,根据当前采样时刻设定传感器采集的第一强度值与上一采样时刻设定传感器采集的第二强度值判断移动终端内预设的亮度调节事件是否被触发。判断预设的亮度调节事件是否被触发的方式可以是:将当前采样时刻由环 境光传感器输出的数值作为当前采样时刻的第一强度值。由设定存储空间内读取上一采样时刻环境光传感器输出的第二强度值,计算该第一强度值与第二强度值的偏差量;在所述偏差量超过设定阈值时,确定亮度调节事件被触发。可以理解的是,设定阈值可以是系统默认,还可以是由用户根据实际需要进行设置,该设定阈值用于判断是否触发执行屏幕亮度调节事件。Illustratively, determining whether the preset brightness adjustment event in the mobile terminal is triggered according to the first intensity value collected by the current sampling time setting sensor and the second intensity value collected by the previous sampling time setting sensor. The manner of determining whether the preset brightness adjustment event is triggered may be: using the value output by the ambient light sensor at the current sampling time as the first intensity value of the current sampling time. Reading a second intensity value output by the ambient light sensor at the last sampling time in the set storage space, calculating a deviation amount between the first intensity value and the second intensity value; determining the brightness when the deviation amount exceeds the set threshold The adjustment event is triggered. It can be understood that the setting threshold may be the system default, or may be set by the user according to actual needs, and the setting threshold is used to determine whether to trigger the execution of the screen brightness adjustment event.
在判定预设的亮度调节事件被触发时,获取当前前台运行的应用程序的应用标识,以确定前台运行何种应用程序。并且,获取当前的系统时间、屏幕的当前亮度值及网络标识作为终端状态,其中,所述网络标识为终端接入的无线网络的名称(可以是SSID)。在判定预设的亮度调节事件未被触发时,按照设定的采样间隔获取环境光传感器输出的数值,而并不获取前台运行的应用程序的应用标识及当前的终端状态,以减少检测数据占用移动终端的存储空间。When it is determined that the preset brightness adjustment event is triggered, the application identifier of the application running in the foreground is obtained to determine which application is running in the foreground. And obtaining the current system time, the current brightness value of the screen, and the network identifier as the terminal status, where the network identifier is a name (may be an SSID) of the wireless network accessed by the terminal. When it is determined that the preset brightness adjustment event is not triggered, the value output by the ambient light sensor is obtained according to the set sampling interval, and the application identifier of the application running in the foreground and the current terminal state are not obtained, so as to reduce the occupation of the detection data. The storage space of the mobile terminal.
可以理解的是,前台运行的应用程序是指在移动终端显示界面中显示的应用程序,用户可以对前台运行的应用程序进行操作。例如,移动终端中同时运行有应用程序A、应用程序B和应用程序C,其中,仅有应用程序A是当前移动终端显示界面中显示的应用程序,那么可以将应用程序A确定为前台运行的应用程序,应用程序B和应用程序C确定为后台运行的应用程序。需要说明的是,应用标识是可以唯一确定应用程序的字符,包括但不限于应用包名、应用的用户名(UID)或应用的进程名(PID)。It can be understood that the application running in the foreground refers to an application displayed in the display interface of the mobile terminal, and the user can operate the application running in the foreground. For example, the application A, the application B, and the application C are simultaneously run in the mobile terminal, wherein only the application A is the application displayed in the current mobile terminal display interface, and the application A can be determined to be running in the foreground. The application, application B and application C are determined to be running applications in the background. It should be noted that the application identifier is a character that can uniquely determine the application, including but not limited to the application package name, the application's username (UID), or the application's process name (PID).
一般地,终端可以是搭载有操作系统的移动终端,包括但不限于智能手机、平板电脑、掌上游戏机、笔记本电脑及智能手表等。需要说明的是,终端状态包括网络标识、屏幕亮度调节操作前的亮度值(即当前屏幕亮度值)、当前的系统时间、剩余电量、位置信息中的至少一项。在本申请实施例中,当前的终端状态包括当前WIFI的SSID、当前系统时间及当前屏幕亮度值。Generally, the terminal may be a mobile terminal equipped with an operating system, including but not limited to a smart phone, a tablet computer, a handheld game console, a notebook computer, and a smart watch. It should be noted that the terminal status includes at least one of a network identifier, a brightness value before the screen brightness adjustment operation (ie, a current screen brightness value), a current system time, a remaining power amount, and location information. In the embodiment of the present application, the current terminal status includes the current WIFI SSID, the current system time, and the current screen brightness value.
在步骤120中,在预设的亮度调节事件被触发时,通过预先配置的亮度预测模型确定与所述强度值、应用程序及终端状态对应的目标亮度值。In step 120, when the preset brightness adjustment event is triggered, the target brightness value corresponding to the intensity value, the application, and the terminal state is determined by the pre-configured brightness prediction model.
需要说明的是,亮度预测模型为根据历史亮度调节记录训练的深度学习模型。亮度预测模型的构建方式可以如本申请实施例中记载的方式,也可以采用 其它方式进行构建,此处并不作限定。It should be noted that the brightness prediction model is a deep learning model based on historical brightness adjustment recording training. The construction method of the brightness prediction model may be implemented in the manner described in the embodiments of the present application, or may be constructed in other manners, which is not limited herein.
在本申请实施例中,对亮度调节事件被触发时刻的应用程序、系统时间、SSID进行预处理,以符合亮度预设模型的输入要求,得到关于环境光的强度值、应用程序、系统时间、SSID及当前屏幕亮度值的一条模型输入记录(也可以认为是用户当前使用终端的状态,该状态包括终端本身的状态、使用情况及环境光情况等)。其中,对上述应用程序、系统时间、SSID进行预处理的方式包括:根据预设第一规则匹配该当前前台运行的应用程序的程序编号a,且a∈[0,1,2...];根据预设第二规则匹配该SSID的网络编号u,且u∈[0,1,2...];根据上述记载可知对自然日内预设时间区间进行均分得到所述时间段,该时间段与时间编号关联存储于白名单内,可以根据当前的系统时间所属的时间段查询该白名单确定该时间段对应的时间编号。将该强度值、程序编号、时间编号、屏幕的当前亮度值及网络编号输入预先配置的亮度预测模型,以通过该亮度预测模型计算出目标亮度值。In the embodiment of the present application, the application, the system time, and the SSID of the time when the brightness adjustment event is triggered are preprocessed to meet the input requirement of the brightness preset model, and the intensity value, the application program, the system time, and the ambient light are obtained. A model input record of the SSID and the current screen brightness value (may also be considered as the state of the terminal currently used by the user, including the status of the terminal itself, usage, ambient light conditions, etc.). The method for pre-processing the application, the system time, and the SSID includes: matching the program number a of the current foreground running application according to the preset first rule, and a∈[0, 1, 2...] Matching the network number u of the SSID according to the preset second rule, and u∈[0,1,2...]; according to the above description, it is known that the preset time interval in the natural day is equally divided to obtain the time period, The time segment is associated with the time number and stored in the whitelist. The whitelist is queried according to the time period to which the current system time belongs, and the time number corresponding to the time segment is determined. The intensity value, the program number, the time number, the current brightness value of the screen, and the network number are input to a pre-configured brightness prediction model to calculate a target brightness value by the brightness prediction model.
在步骤130中,根据所述目标亮度值对屏幕亮度进行调节。In step 130, the screen brightness is adjusted according to the target brightness value.
在本申请实施例中,根据目标亮度值对屏幕亮度进行调节可以是采用该目标亮度值直接替换上述屏幕的当前亮度值。但是,此处调节方式比较生硬,对于目标亮度值与当前亮度值相差较大的情况,直接替换会导致用户体验不佳。可选的,可以在目标亮度值与当前亮度值之间设置预设数量的中间值,以避免屏幕亮度骤然跳变使人眼感觉不适的情况发生。例如,计算该目标亮度值与该当前亮度值的差值;在该差值超过设定调节间隔值时,根据与该目标亮度值的亮度偏差将该差值分成至少两个数值区间;根据所述数值区间对屏幕亮度进行平滑调节。可选的,上述至少两个数值区间可以是均分当前亮度值与目标亮度值的差值对应的间隔区间的结果。还可以根据实际需要采用较小的数值变化量调整远离目标亮度值的当前亮度,在靠近目标亮度值时可以增加数值变化量。例如,目标亮度值是500,当前亮度值是400,则可以确定目标亮度值与当前亮度值的差值是100,可以均分该差值成为4份,以每隔设定时间区间将屏幕亮度值增加25的方式逐步调整当前亮度值,以达到目标亮度值。可选的,还可以根 据实际需要设置变化的调节策略,如在当前亮度值达到460之前,以每隔设定时间区间将屏幕亮度增加10的方式进行调整,在当前亮度达到460后,以每隔设定时间区间将屏幕亮度增加20的方式进行调整。In the embodiment of the present application, adjusting the brightness of the screen according to the target brightness value may directly replace the current brightness value of the screen by using the target brightness value. However, the adjustment method here is relatively blunt, and if the target brightness value differs greatly from the current brightness value, direct replacement may result in poor user experience. Optionally, a preset number of intermediate values may be set between the target brightness value and the current brightness value to avoid a situation in which the brightness of the screen suddenly jumps to make the human eye feel uncomfortable. For example, calculating a difference between the target brightness value and the current brightness value; when the difference exceeds the set adjustment interval value, dividing the difference into at least two value intervals according to a brightness deviation from the target brightness value; The numerical interval is used to smoothly adjust the screen brightness. Optionally, the at least two value intervals may be a result of equally dividing the interval between the current brightness value and the target brightness value. It is also possible to adjust the current brightness away from the target brightness value with a small value change according to actual needs, and increase the value change amount when approaching the target brightness value. For example, if the target brightness value is 500 and the current brightness value is 400, it can be determined that the difference between the target brightness value and the current brightness value is 100, and the difference can be divided into 4 parts to set the screen brightness every set time interval. The value is increased by 25 to gradually adjust the current brightness value to reach the target brightness value. Optionally, a change adjustment strategy may be set according to actual needs, for example, before the current brightness value reaches 460, the screen brightness is increased by 10 every set time interval, after the current brightness reaches 460, Adjust the screen brightness by 20 in the set time interval.
本实施例的技术方案,通过获取环境光的强度值、前台运行的应用程序的应用标识及终端状态;在预设的亮度调节事件被触发时,通过预先配置的亮度预测模型确定与该强度值、应用程序及终端状态对应的目标亮度值,根据该目标亮度值对屏幕亮度进行调节,实现基于用户当前使用终端的状态结合用户的历史亮度调节记录,分析出用户偏好的目标亮度值,并基于该目标亮度值对屏幕亮度进行自动调节,且调节结果更符合用户的实际体验要求。采用上述技术方案,解决了相关技术中因屏幕亮度调节方案的调节结果与用户对亮度的心里预期不相符导致多次调节的问题,提升了移动终端在屏幕亮度调节方面的智能度。The technical solution of the embodiment obtains the intensity value of the ambient light, the application identifier of the application running in the foreground, and the terminal state; when the preset brightness adjustment event is triggered, the brightness value is determined by the pre-configured brightness prediction model. The target brightness value corresponding to the application and the terminal state is adjusted according to the target brightness value, and the historical brightness adjustment record based on the user's current use terminal state is combined with the user's historical brightness adjustment record, and the target brightness value of the user preference is analyzed, and based on The target brightness value automatically adjusts the screen brightness, and the adjustment result is more in line with the user's actual experience requirements. The above technical solution solves the problem that the adjustment result of the screen brightness adjustment scheme in the related art is inconsistent with the user's expectation of brightness, resulting in multiple adjustments, and improves the intelligence of the mobile terminal in adjusting the brightness of the screen.
图2是本申请实施例提供的另一种屏幕亮度的智能调节方法的流程图。如图2所示,该方法包括:步骤201-步骤212。FIG. 2 is a flowchart of another method for intelligently adjusting screen brightness according to an embodiment of the present application. As shown in FIG. 2, the method includes: Step 201 - Step 212.
在步骤201中,按照设定的采样间隔,将获取的环境光传感器输出的数值作为环境光的强度值。In step 201, the acquired value of the ambient light sensor is used as the intensity value of the ambient light according to the set sampling interval.
可以理解的是,环境光的强度值的获取方式有很多种,并不限于上述列举的通过环境光传感器获取,还可以通过摄像头拍摄一幅外界环境的图像,分析该图像得到环境光的强度值等等。It can be understood that there are many ways to obtain the intensity value of the ambient light. It is not limited to the above-listed acquisition by the ambient light sensor. It is also possible to capture an image of the external environment through the camera and analyze the image to obtain the intensity value of the ambient light. and many more.
在步骤202中,根据所述环境光的强度值判断预设的亮度调节事件是否被触发,若亮度调节事件被触发,则执行步骤203;若亮度调节事件未被触发,返回执行步骤201。In step 202, it is determined whether the preset brightness adjustment event is triggered according to the intensity value of the ambient light. If the brightness adjustment event is triggered, step 203 is performed; if the brightness adjustment event is not triggered, return to step 201.
在本申请实施例中,计算当前采样时刻获取的环境光传感器采集的第一强度值与上一采样时刻获取的环境光传感器采集的第二强度值的偏差量;在该偏差量大于或等于设定阈值时,执行步骤203;在该偏差值小于设定阈值时,执行步骤201。In the embodiment of the present application, calculating a deviation between a first intensity value collected by the ambient light sensor acquired at the current sampling time and a second intensity value acquired by the ambient light sensor acquired at the previous sampling time; where the deviation amount is greater than or equal to When the threshold is determined, step 203 is performed; when the deviation value is less than the set threshold, step 201 is performed.
可选的,还可以获取当前的系统时间,确定当前的系统时间与上一次屏幕 亮度调节操作的时间的时间间隔,在该时间间隔超过设定时间阈值时,也可以触发亮度调节事件。需要说明的是,在每次完成屏幕亮度调节操作时,启动计时器开始计时,以记录当前时间与上一次屏幕亮度调节操作的时间的时间间隔。上述时间阈值可以是系统默认,或用户根据实际需要自行设置的,用于触发亮度调节事件。例如,设定时间间隔可以是1小时,获取计时器的读数,判断该时间间隔是否超过1小时。在计时器达到预设时间阈值时,控制计时器清零,以待完成屏幕亮度调节操作后,重新计时。Optionally, the current system time may also be obtained, and the time interval between the current system time and the time of the last screen brightness adjustment operation may be determined. When the time interval exceeds the set time threshold, the brightness adjustment event may also be triggered. It should be noted that, each time the screen brightness adjustment operation is completed, the start timer starts timing to record the time interval between the current time and the time of the last screen brightness adjustment operation. The time threshold may be set by the system or set by the user according to actual needs, and is used to trigger a brightness adjustment event. For example, the set time interval may be 1 hour, the reading of the timer is obtained, and it is determined whether the time interval exceeds 1 hour. When the timer reaches the preset time threshold, the control timer is cleared to re-time after the screen brightness adjustment operation is completed.
在步骤203中,获取前台运行的应用程序的应用标识,并获取系统时间、屏幕的当前亮度值及网络标识作为终端状态。In step 203, the application identifier of the application running in the foreground is obtained, and the system time, the current brightness value of the screen, and the network identifier are obtained as the terminal status.
在步骤204中,根据预设第一规则匹配所述应用程序的程序编号。In step 204, the program number of the application is matched according to a preset first rule.
需要说明的是,该第一规则可以是为移动终端内安装的不同应用程序赋予不同的数字编号,作为程序编号。It should be noted that the first rule may be to assign different numbers to different applications installed in the mobile terminal as program numbers.
在步骤205中,根据预设第二规则匹配所述网络标识的网络编号。In step 205, the network number of the network identifier is matched according to a preset second rule.
需要说明的是,该第二规则可以是为移动终端接入过的不同WIFI的SSID赋予不同的数字编号,作为网络编号。It should be noted that the second rule may be to assign different numbers to the SSIDs of different WIFIs accessed by the mobile terminal as the network number.
在步骤206中,根据所述系统时间所属的时间段确定时间编号。In step 206, the time number is determined according to the time period to which the system time belongs.
在步骤207中,将所述强度值、程序编号、时间编号、屏幕的当前亮度值及网络编号输入预先配置的亮度预测模型。In step 207, the intensity value, the program number, the time number, the current brightness value of the screen, and the network number are input to the pre-configured brightness prediction model.
在步骤208中,获取亮度预测模型输出的目标亮度值,计算所述当前亮度值与所述目标亮度值的差值。In step 208, a target brightness value output by the brightness prediction model is acquired, and a difference between the current brightness value and the target brightness value is calculated.
在步骤209中,判断所述差值是否超过设定调节间隔值,若超过设定调节间隔值,则执行步骤210;若未超过设定调节间隔值,执行步骤211。In step 209, it is determined whether the difference exceeds the set adjustment interval value. If the set adjustment interval value is exceeded, step 210 is performed; if the set adjustment interval value is not exceeded, step 211 is performed.
需要说明的是,上述调节间隔值可以根据大量用户群体的屏幕亮度历史调节记录进行分析确定。例如,在执行完由当前亮度调节至目标亮度值的操作后,用户又手动调节了屏幕亮度,则认为本次屏幕亮度调节操作中,当前亮度值与目标亮度值的亮度偏差较大,根据该规律,对屏幕亮度历史调节记录进行分析,确定设定调节间隔值。It should be noted that the above adjustment interval value may be analyzed and determined according to the screen brightness history adjustment record of a large number of user groups. For example, after the operation of adjusting the brightness from the current brightness to the target brightness value, the user manually adjusts the brightness of the screen, and it is considered that the brightness deviation between the current brightness value and the target brightness value is larger in the current screen brightness adjustment operation, according to the Regularity, analyze the screen brightness history adjustment record, and determine the setting adjustment interval value.
在步骤210中,根据屏幕亮度调整过程中获取的实时亮度值与所述目标亮度值的偏差将所述差值分成至少两个数值区间,根据所述数值区间对屏幕亮度进行平滑调节。In step 210, the difference is divided into at least two numerical intervals according to the deviation of the real-time luminance value acquired during the screen brightness adjustment process from the target luminance value, and the screen brightness is smoothly adjusted according to the numerical interval.
需要说明的是,上述数值区间的划分依据可以是均分该差值对应的数值间隔。划分依据还可以是在屏幕亮度调整过程中,根据实时获取的屏幕亮度值与目标亮度值的偏差将该差值对应的数值间隔划分为至少两个数值区间。例如,在屏幕亮度调整过程中,实时获取屏幕亮度(下文将该亮度称为实时屏幕亮度),在实时屏幕亮度距离目标亮度值较远时,采用较小的数值区间进行平滑调整,在实时屏幕亮度距离目标亮度值较近时,采用较大的数值区间进行亮度调节。举例说明,目标亮度值为500,当前屏幕亮度为400,设置一阈值为460,在调整过程中,实时屏幕亮度小于该阈值460时,则判定实时屏幕亮度距离目标亮度值较远,则采用第一数值区间(如数值区间为10)对屏幕亮度进行调整。调整6次后,实时屏幕亮度460等于该阈值,则判定实时屏幕亮度距离目标亮度值较近,则采用第二数值区间(如数值区间为20)对屏幕亮度进行调整,调整2次后,屏幕亮度达到目标亮度值。It should be noted that the above numerical interval may be divided according to the numerical interval corresponding to the difference. The dividing basis may further be that, during the screen brightness adjustment process, the value interval corresponding to the difference is divided into at least two numerical intervals according to the deviation between the real-time acquired screen brightness value and the target brightness value. For example, in the screen brightness adjustment process, the screen brightness is acquired in real time (hereinafter referred to as the real-time screen brightness), and when the real-time screen brightness is far from the target brightness value, the smaller value interval is used for smooth adjustment, in the real-time screen. When the brightness is closer to the target brightness value, the brightness is adjusted using a larger value interval. For example, the target brightness value is 500, the current screen brightness is 400, and a threshold value is set to 460. When the real-time screen brightness is less than the threshold value 460 during the adjustment process, it is determined that the real-time screen brightness is far from the target brightness value, and the first A numerical interval (such as a numerical interval of 10) adjusts the brightness of the screen. After adjusting 6 times, the real-time screen brightness 460 is equal to the threshold value, and it is determined that the real-time screen brightness is closer to the target brightness value, and the second numerical interval (such as the numerical interval is 20) is used to adjust the screen brightness, and after adjusting 2 times, the screen is adjusted. The brightness reaches the target brightness value.
需要说明的是,本步骤执行完成后,执行步骤212。It should be noted that after the execution of this step is completed, step 212 is performed.
在步骤211中,采用所述目标亮度值替换当前亮度值。In step 211, the current brightness value is replaced with the target brightness value.
可以理解的是,由于目标亮度值与当前亮度值的差值并不大,可以采用直接替换的方式调节屏幕亮度,本步骤执行完成后执行步骤212。It can be understood that, since the difference between the target brightness value and the current brightness value is not large, the screen brightness can be adjusted by using a direct replacement method. After the step is performed, step 212 is performed.
在步骤212中,获取与所述目标亮度值对应的目标图像亮度值,并根据所述目标图像亮度值调节当前显示内容的亮度。In step 212, a target image brightness value corresponding to the target brightness value is acquired, and a brightness of the current display content is adjusted according to the target image brightness value.
可以理解的是,在某些场景下,影响用户看屏幕的感受的因素不仅是屏幕亮度,屏幕中所显示内容也会影响用户的观看体验。考虑到这一点,采集设定数量的用户群体针对屏幕亮度及屏幕中显示的图像亮度的历史设置操作,采用数据分析手段对上述历史设置操作进行分析,得到与屏幕亮度匹配的显示图像的亮度,并预先配置于移动终端内。例如,可以采用白名单的形式存储上述屏幕亮度与图像亮度的对应关系。It can be understood that in some scenarios, the factor that affects the user's perception of the screen is not only the brightness of the screen, but also the content displayed on the screen affects the viewing experience of the user. With this in mind, a set number of user groups are collected for the historical setting operation of the screen brightness and the brightness of the image displayed on the screen, and the above-mentioned history setting operation is analyzed by using data analysis means to obtain the brightness of the display image matching the screen brightness. And pre-configured in the mobile terminal. For example, the correspondence between the above screen brightness and the image brightness may be stored in the form of a white list.
本申请实施例中,在获取目标亮度值之后,根据目标亮度值查询上述白名单,确定对应的图像亮度值,根据该图像亮度值调节当前显示内容的亮度。In the embodiment of the present application, after acquiring the target brightness value, the white list is queried according to the target brightness value, the corresponding image brightness value is determined, and the brightness of the current display content is adjusted according to the image brightness value.
需要说明的是,在当前图像亮度值与目标图像亮度值的偏差较大时(例如,当前图像亮度值与目标图像亮度值的差值大于图像亮度调节间隔值),可以根据亮度调整过程中的实时图像亮度值与目标图像亮度值的偏差将差值区间(当前图像亮度值与目标图像亮度值的差值的取值范围)分成至少两个子区间,根据该子区间对图像亮度进行平滑调节,实现显示内容的图像亮度调节过程与屏幕亮度平滑过度相适应。举例说明,目标图像亮度值为800,当前图像亮度值为600,图像亮度调节间隔值为150。当前图像亮度值与目标图像亮度值的差值为200,大于图像亮度调节间隔值,则认为当前图像亮度值与目标图像亮度值的偏差较大。在图像亮度调整过程中,设定一阈值为750,实时图像亮度小于该阈值750时,则判定实时图像亮度距离目标图像亮度值较远,则采用第一数值区间(如数值区间为20)对屏幕亮度进行调整。调整8次后,实时屏幕亮度760大于该阈值,则判定实时图像亮度距离目标图像亮度值较近,则采用第二数值区间(如数值区间为40)对图像亮度进行调整,调整1次后,图像亮度达到目标图像亮度值。It should be noted that when the deviation between the current image brightness value and the target image brightness value is large (for example, the difference between the current image brightness value and the target image brightness value is greater than the image brightness adjustment interval value), it may be adjusted according to the brightness adjustment process. Deviating the real-time image brightness value from the target image brightness value, the difference interval (the range of the difference between the current image brightness value and the target image brightness value) is divided into at least two sub-intervals, and the image brightness is smoothly adjusted according to the sub-interval, The image brightness adjustment process for realizing the display content is adapted to the smoothness of the screen brightness. For example, the target image brightness value is 800, the current image brightness value is 600, and the image brightness adjustment interval value is 150. The difference between the current image brightness value and the target image brightness value is 200, which is greater than the image brightness adjustment interval value, and the deviation between the current image brightness value and the target image brightness value is considered to be large. In the image brightness adjustment process, when a threshold value is set to 750 and the real-time image brightness is less than the threshold value 750, it is determined that the real-time image brightness is far from the target image brightness value, and the first numerical interval (eg, the numerical interval is 20) is used. The screen brightness is adjusted. After adjusting 8 times, if the real-time screen brightness 760 is greater than the threshold value, it is determined that the real-time image brightness is closer to the target image brightness value, and the second numerical value interval (such as the numerical interval is 40) is used to adjust the image brightness, and after adjusting once, The image brightness reaches the target image brightness value.
需要说明的是,本步骤并非本申请实施例的必要步骤,即步骤212可执行也可不执行。同时,步骤212的执行顺序并不限于本申请实施例所记载的情况,步骤212在确定目标亮度值之后执行即可。It should be noted that this step is not a necessary step of the embodiment of the present application, that is, the step 212 may or may not be performed. Meanwhile, the execution order of step 212 is not limited to the case described in the embodiment of the present application, and step 212 may be performed after determining the target brightness value.
本实施例的技术方案,通过获取与目标亮度值对应的目标图像亮度值,并根据该目标图像亮度值调节当前显示内容的亮度,实现在调节屏幕亮度之外,还调节显示内容的亮度,更好的符合用户感受,有效地避免多次调节屏幕亮度,提高移动终端的执行效率。In the technical solution of the embodiment, by acquiring the target image brightness value corresponding to the target brightness value, and adjusting the brightness of the current display content according to the target image brightness value, adjusting the brightness of the display content in addition to adjusting the brightness of the screen, Good to meet the user's feelings, effectively avoiding adjusting the screen brightness multiple times and improving the execution efficiency of the mobile terminal.
图3是本申请实施例提供的一种屏幕亮度的智能调节装置的结构框图。该装置可以通过软件和/或硬件实现,可被集成于移动终端内,用于执行本申请实施例提供的屏幕亮度的智能调节方法。如图3所示,该装置包括:状态获取模块310,目标值确定模块320和亮度调节模块330。FIG. 3 is a structural block diagram of an intelligent adjusting device for screen brightness according to an embodiment of the present application. The device may be implemented by software and/or hardware, and may be integrated into the mobile terminal for performing an intelligent adjustment method of the screen brightness provided by the embodiment of the present application. As shown in FIG. 3, the device includes a state acquisition module 310, a target value determination module 320, and a brightness adjustment module 330.
状态获取模块310设置为获取环境光的强度值、前台运行的应用程序的应用标识及终端状态。The state obtaining module 310 is configured to acquire an intensity value of the ambient light, an application identifier of the application running in the foreground, and a terminal state.
目标值确定模块320设置为在预设的亮度调节事件被触发时,通过预先配置的亮度预测模型确定与所述强度值、应用程序及终端状态对应的目标亮度值,其中,所述亮度预测模型为根据历史亮度调节记录训练的深度学习模型。The target value determining module 320 is configured to determine a target brightness value corresponding to the intensity value, an application, and a terminal state by a pre-configured brightness prediction model when the preset brightness adjustment event is triggered, wherein the brightness prediction model A deep learning model for training training is adjusted according to historical brightness.
亮度调节模块330设置为根据所述目标亮度值对屏幕亮度进行调节。The brightness adjustment module 330 is configured to adjust the brightness of the screen according to the target brightness value.
本实施例的技术方案提供一种屏幕亮度的智能调节装置,实现基于用户当前使用状态结合用户的历史亮度调节记录,分析出用户偏好的目标亮度值,并基于该目标亮度值对屏幕亮度进行自动调节,且调节结果更符合用户的实际体验要求。采用上述技术方案,解决了相关技术中因屏幕亮度调节方案的调节结果与用户对亮度的心里预期不相符导致多次调节的问题,提升了移动终端在屏幕亮度调节方面的智能度。The technical solution of the embodiment provides an intelligent adjusting device for screen brightness, which realizes the historical brightness adjustment record based on the user's current use state combined with the user, analyzes the target brightness value preferred by the user, and automatically adjusts the screen brightness based on the target brightness value. Adjustment, and the adjustment results are more in line with the user's actual experience requirements. The above technical solution solves the problem that the adjustment result of the screen brightness adjustment scheme in the related art is inconsistent with the user's expectation of brightness, resulting in multiple adjustments, and improves the intelligence of the mobile terminal in adjusting the brightness of the screen.
可选的,状态获取模块310还设置为按照设定的采样间隔获取环境光传感器输出的数值作为环境光的强度值;Optionally, the state obtaining module 310 is further configured to obtain, according to the set sampling interval, a value output by the ambient light sensor as an intensity value of the ambient light;
该屏幕亮度智能调节装置还包括:事件判定模块。The screen brightness intelligent adjusting device further includes: an event determining module.
在状态获取模块获取环境光的强度值之后,事件判定模块设置为根据所述强度值判断预设的亮度调节事件是否被触发。After the state acquisition module acquires the intensity value of the ambient light, the event determination module is configured to determine whether the preset brightness adjustment event is triggered according to the intensity value.
可选的,事件判定模块还设置为计算当前采样时刻对应的第一强度值与上一采样时刻对应的第二强度值的偏差量;以及在所述偏差量超过设定阈值时,确定亮度调节事件被触发。Optionally, the event determining module is further configured to calculate a deviation amount between the first intensity value corresponding to the current sampling time and the second intensity value corresponding to the previous sampling time; and determine the brightness adjustment when the deviation exceeds the set threshold The event is triggered.
可选的,状态获取模块310还设置为在所述亮度调节事件被触发时,获取前台运行的应用程序的应用标识,并获取系统时间、屏幕的当前亮度值及网络标识作为终端状态,其中,所述网络标识为终端接入的无线网络的名称。Optionally, the state obtaining module 310 is further configured to: when the brightness adjustment event is triggered, acquire an application identifier of an application running in the foreground, and obtain a system time, a current brightness value of the screen, and a network identifier as a terminal state, where The network identifier is the name of the wireless network accessed by the terminal.
可选的,该屏幕亮度智能调节装置还包括:预处理模块和模型输入模块。Optionally, the screen brightness intelligent adjusting device further includes: a preprocessing module and a model input module.
在状态获取模块获取环境光的强度值、前台运行的应用程序的应用标识及终端状态之后,预处理模块设置为根据预设第一规则匹配所述应用程序的程序编号;根据预设第二规则匹配所述网络标识的网络编号;根据所述系统时间所 属的时间段确定时间编号,其中,对自然日内预设时间区间进行均分得到所述时间段,所述时间段与时间编号关联存储;After the state obtaining module obtains the intensity value of the ambient light, the application identifier of the application running in the foreground, and the terminal state, the pre-processing module is configured to match the program number of the application according to the preset first rule; according to the preset second rule Matching the network number of the network identifier; determining a time number according to the time period to which the system time belongs, wherein the time period is obtained by equally dividing the preset time interval in the natural day, and the time period is stored in association with the time number;
模型输入模块设置为将所述强度值、程序编号、时间编号、屏幕的当前亮度值及网络编号输入预先配置的亮度预测模型。The model input module is configured to input the intensity value, the program number, the time number, the current brightness value of the screen, and the network number into a pre-configured brightness prediction model.
可选的,亮度调节模块330还设置为计算所述当前亮度值与所述目标亮度值的差值;在所述差值超过设定调节间隔值时,根据与所述目标亮度值的亮度偏差将所述差值分成至少两个数值区间;以及根据所述数值区间对屏幕亮度进行平滑调节。当所述差值未超过设定调节间隔值时,采用目标亮度值直接替换当前亮度值,以实现对屏幕亮度的调节。Optionally, the brightness adjustment module 330 is further configured to calculate a difference between the current brightness value and the target brightness value; and when the difference exceeds the set adjustment interval value, according to a brightness deviation from the target brightness value The difference is divided into at least two numerical intervals; and the screen brightness is smoothly adjusted according to the numerical interval. When the difference does not exceed the set adjustment interval value, the current brightness value is directly replaced with the target brightness value to achieve adjustment of the screen brightness.
可选的,该屏幕亮度智能调节装置还包括:内容亮度调节模块。Optionally, the screen brightness intelligent adjusting device further includes: a content brightness adjusting module.
内容亮度调节模块设置为获取与所述目标亮度值对应的目标图像亮度值,并根据所述目标图像亮度值调节当前显示内容的亮度。The content brightness adjustment module is configured to acquire a target image brightness value corresponding to the target brightness value, and adjust a brightness of the current display content according to the target image brightness value.
可选的,该内容亮度调节模块还可以设置为:计算所述当前图像亮度值与所述目标图像亮度值的差值;在所述差值超过设定图像亮度调节间隔值时,根据亮度调节过程中获取的实时图像亮度值与所述目标图像亮度值的偏差将所述差值分成至少两个数值区间;以及根据所述数值区间对图像亮度进行平滑调节。Optionally, the content brightness adjustment module is further configured to: calculate a difference between the current image brightness value and the target image brightness value; and when the difference exceeds a set image brightness adjustment interval value, adjust according to the brightness The deviation of the real-time image luminance value acquired in the process from the target image luminance value divides the difference into at least two numerical intervals; and smooth adjustment of image brightness according to the numerical interval.
本申请实施例还提供一种包含计算机可执行指令的存储介质,所述计算机可执行指令在由计算机处理器执行时用于执行一种屏幕亮度的智能调节方法,该方法包括:获取环境光的强度值、前台运行的应用程序的应用标识及终端状态;在预设的亮度调节事件被触发时,通过预先配置的亮度预测模型确定与所述强度值、应用程序及终端状态对应的目标亮度值,其中,所述亮度预测模型为根据历史亮度调节记录训练的深度学习模型;以及根据所述目标亮度值对屏幕亮度进行调节。Embodiments of the present application also provide a storage medium including computer executable instructions for performing an intelligent adjustment method of screen brightness when executed by a computer processor, the method comprising: acquiring ambient light The intensity value, the application identifier of the application running in the foreground, and the terminal status; when the preset brightness adjustment event is triggered, determining the target brightness value corresponding to the intensity value, the application, and the terminal state by using the pre-configured brightness prediction model The brightness prediction model is a depth learning model that is based on historical brightness adjustment recording training; and the screen brightness is adjusted according to the target brightness value.
存储介质一一任何的各种类型的存储器设备或存储设备。术语“存储介质”旨在包括:安装介质,例如CD-ROM、软盘或磁带装置;计算机系统存储器或随机存取存储器,诸如DRAM、DDR RAM、SRAM、EDO RAM,兰巴斯 (Rambus)RAM等;非易失性存储器,诸如闪存、磁介质(例如硬盘或光存储);寄存器或其它相似类型的存储器元件等。存储介质可以还包括其它类型的存储器或其组合。另外,存储介质可以位于程序在其中被执行的第一计算机系统中,或者可以位于不同的第二计算机系统中,第二计算机系统通过网络(诸如因特网)连接到第一计算机系统。第二计算机系统可以提供程序指令给第一计算机用于执行。术语“存储介质”可以包括可以驻留在不同位置中(例如在通过网络连接的不同计算机系统中)的两个或更多存储介质。存储介质可以存储可由一个或多个处理器执行的程序指令(例如具体实现为计算机程序)。Storage medium Any of various types of memory devices or storage devices. The term "storage medium" is intended to include: a mounting medium such as a CD-ROM, a floppy disk or a tape device; a computer system memory or a random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc. Non-volatile memory, such as flash memory, magnetic media (such as hard disk or optical storage); registers or other similar types of memory elements, and the like. The storage medium may also include other types of memory or a combination thereof. Additionally, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system, the second computer system being coupled to the first computer system via a network, such as the Internet. The second computer system can provide program instructions to the first computer for execution. The term "storage medium" can include two or more storage media that can reside in different locations (eg, in different computer systems connected through a network). A storage medium may store program instructions (eg, embodied as a computer program) executable by one or more processors.
当然,本申请实施例所提供的一种包含计算机可执行指令的存储介质,其计算机可执行指令不限于如上所述的屏幕亮度的智能调节操作,还可以执行本申请任意实施例所提供的屏幕亮度的智能调节方法中的相关操作。Certainly, a storage medium containing computer executable instructions provided by the embodiments of the present application, the computer executable instructions are not limited to the intelligent adjustment operation of the screen brightness as described above, and may also execute the screen provided by any embodiment of the present application. Related operations in the intelligent adjustment method of brightness.
本申请实施例提供了一种移动终端,该移动终端内具有操作系统,该移动终端中可集成本申请实施例提供的屏幕亮度的智能调节装置。其中,移动终端可以为智能手机、PAD(平板电脑)、掌上游戏机等。图4是本申请实施例提供的一种移动终端的结构框图。如图4所示,存储器410及处理器420。所述存储器410,用于存储计算机程序、亮度预测模型及历史强度值等;所述中央处理器420读取并执行所述存储器410中存储的计算机程序。所述处理器420在执行所述计算机程序时实现以下步骤:获取环境光的强度值、前台运行的应用程序的应用标识及终端状态;在预设的亮度调节事件被触发时,通过预先配置的亮度预测模型确定与所述强度值、应用程序及终端状态对应的目标亮度值,其中,所述亮度预测模型为根据历史亮度调节记录训练的深度学习模型;根据所述目标亮度值对屏幕亮度进行调节。The embodiment of the present application provides a mobile terminal, which has an operating system, and the smart adjustment device of the screen brightness provided by the embodiment of the present application can be integrated into the mobile terminal. The mobile terminal can be a smart phone, a PAD (tablet), a handheld game machine, or the like. FIG. 4 is a structural block diagram of a mobile terminal according to an embodiment of the present application. As shown in FIG. 4, the memory 410 and the processor 420. The memory 410 is configured to store a computer program, a brightness prediction model, and a historical intensity value, etc.; the central processor 420 reads and executes a computer program stored in the memory 410. The processor 420, when executing the computer program, implements the following steps: acquiring an intensity value of ambient light, an application identifier of an application running in the foreground, and a terminal status; and pre-configuring when a preset brightness adjustment event is triggered. The brightness prediction model determines a target brightness value corresponding to the intensity value, an application, and a terminal state, wherein the brightness prediction model is a depth learning model based on historical brightness adjustment recording training; and the screen brightness is performed according to the target brightness value Adjustment.
上述示例中列举的存储器及处理器均为移动终端的部分元器件,所述移动终端还可以包括其它元器件。以智能手机为例,说明上述移动终端可能的结构。图5是本申请实施例提供的一种智能手机的结构框图。如图5所示,该智能手机可以包括:存储器501、中央处理器(Central Processing Unit,CPU)502(又称处理器,以下简称CPU)、外设接口503、RF(Radio Frequency,射频)电路505、 音频电路506、扬声器511、显示器512、电源管理芯片508、输入/输出(I/O)子系统509、其他输入/控制设备510以及外部端口504,这些部件通过一个或多个通信总线或信号线507来通信。The memory and processor listed in the above examples are all components of the mobile terminal, and the mobile terminal may further include other components. Taking a smart phone as an example, the possible structure of the above mobile terminal will be described. FIG. 5 is a structural block diagram of a smart phone according to an embodiment of the present application. As shown in FIG. 5, the smart phone may include: a memory 501, a central processing unit (CPU) 502 (also referred to as a processor, hereinafter referred to as a CPU), a peripheral interface 503, and an RF (Radio Frequency) circuit. 505, audio circuit 506, speaker 511, display 512, power management chip 508, input/output (I/O) subsystem 509, other input/control devices 510, and external port 504, through one or more communication buses or Signal line 507 is in communication.
应该理解的是,图示智能手机500仅仅是移动终端的一个范例,并且智能手机500可以具有比图中所示出的更多的或者更少的部件,可以组合两个或更多的部件,或者可以具有不同的部件配置。图中所示出的各种部件可以在包括一个或多个信号处理和/或专用集成电路在内的硬件、软件、或硬件和软件的组合中实现。It should be understood that the illustrated smartphone 500 is merely one example of a mobile terminal, and that the smartphone 500 may have more or fewer components than those shown in the figures, and two or more components may be combined. Or it can have different component configurations. The various components shown in the figures can be implemented in hardware, software, or a combination of hardware and software, including one or more signal processing and/or application specific integrated circuits.
下面就本实施例提供的集成有屏幕亮度的智能调节装置的智能手机进行详细的描述。A detailed description will be given below of a smart phone integrated with an intelligent adjustment device for screen brightness provided by the embodiment.
存储器501,所述存储器501可以被CPU 502、外设接口503等访问,所述存储器501可以包括高速随机存取存储器,还可以包括非易失性存储器,例如一个或多个磁盘存储器件、闪存器件、或其他易失性固态存储器件。在存储器511中存储计算机程序,还可以存储人脸状态理解模型、人脸图像及白名单等。The memory 501 can be accessed by the CPU 502, the peripheral interface 503, etc., and the memory 501 can include a high speed random access memory, and can also include a non-volatile memory, such as one or more disk storage devices, flash memory. Devices, or other volatile solid-state storage devices. The computer program is stored in the memory 511, and a face state understanding model, a face image, a white list, and the like can also be stored.
外设接口503可以将设备的输入和输出外设连接到CPU 502和存储器501。 Peripheral interface 503 can connect the input and output peripherals of the device to CPU 502 and memory 501.
I/O子系统509可以将设备上的输入输出外设,例如屏幕512和其他输入/控制设备510,连接到外设接口503。I/O子系统509可以包括显示控制器5091和用于控制其他输入/控制设备510的一个或多个输入控制器5092。其中,一个或多个输入控制器5092从其他输入/控制设备510接收电信号或者向其他输入/控制设备510发送电信号,其他输入/控制设备510可以包括物理按钮(按压按钮、摇臂按钮等)、拨号盘、滑动开关、操纵杆、点击滚轮。值得说明的是,输入控制器5092可以与以下任一个连接:键盘、红外端口、USB接口以及诸如鼠标的指示设备。I/O subsystem 509 can connect input and output peripherals on the device, such as screen 512 and other input/control devices 510, to peripheral interface 503. The I/O subsystem 509 can include a display controller 5091 and one or more input controllers 5092 for controlling other input/control devices 510. Wherein, one or more input controllers 5092 receive electrical signals from other input/control devices 510 or transmit electrical signals to other input/control devices 510, and other input/control devices 510 may include physical buttons (press buttons, rocker buttons, etc.) ), dial, slide switch, joystick, click wheel. It is worth noting that the input controller 5092 can be connected to any of the following: a keyboard, an infrared port, a USB interface, and a pointing device such as a mouse.
屏幕512是用户终端与用户之间的输入接口和输出接口,将可视输出显示给用户,可视输出可以包括图形、文本、图标、视频等。 Screen 512 is an input interface and an output interface between the user terminal and the user, and displays the visual output to the user. The visual output may include graphics, text, icons, video, and the like.
I/O子系统509中的显示控制器5051从屏幕512接收电信号或者向屏幕512发送电信号。屏幕512检测屏幕上的接触,显示控制器5091将检测到的接触转换为与显示在屏幕512上的用户界面对象的交互,即实现人机交互,显示在屏幕512 上的用户界面对象可以是运行游戏的图标、联网到相应网络的图标等。值得说明的是,设备还可以包括光鼠,光鼠是不显示可视输出的触摸敏感表面,或者是由屏幕形成的触摸敏感表面的延伸。Display controller 5051 in I/O subsystem 509 receives an electrical signal from screen 512 or an electrical signal to screen 512. Screen 512 detects contact on the screen, display controller 5091 converts the detected contact into interaction with a user interface object displayed on screen 512, i.e., enables human-computer interaction, and the user interface object displayed on screen 512 can be run The icon of the game, the icon of the network to the corresponding network, and the like. It is worth noting that the device may also include a light mouse, which is a touch sensitive surface that does not display a visual output, or an extension of a touch sensitive surface formed by the screen.
RF电路505建立手机与无线网络(即网络侧)的通信,实现手机与无线网络的数据接收和发送。例如收发短信息、电子邮件等。可选地,RF电路505接收并发送RF信号,RF信号也称为电磁信号,RF电路505将电信号转换为电磁信号或将电磁信号转换为电信号,并且通过该电磁信号与通信网络以及其他设备进行通信。RF电路505可以包括用于执行这些功能的已知电路,其包括但不限于天线系统、RF收发机、一个或多个放大器、调谐器、一个或多个振荡器、数字信号处理器、CODEC(COder-DE Coder,编译码器)芯片组、用户标识模块(Subscriber Identity Module,SIM)等等。The RF circuit 505 establishes communication between the mobile phone and the wireless network (ie, the network side) to implement data reception and transmission between the mobile phone and the wireless network. For example, sending and receiving short messages, emails, and the like. Optionally, the RF circuit 505 receives and transmits an RF signal, also referred to as an electromagnetic signal, and the RF circuit 505 converts the electrical signal into an electromagnetic signal or converts the electromagnetic signal into an electrical signal, and through the electromagnetic signal to the communication network and others The device communicates. RF circuitry 505 may include known circuitry for performing these functions including, but not limited to, an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC ( COder-DE Coder, Chipset, Subscriber Identity Module (SIM), etc.
音频电路506从外设接口503接收音频数据,将该音频数据转换为电信号,并且将该电信号发送给扬声器511。The audio circuit 506 receives audio data from the peripheral interface 503, converts the audio data into an electrical signal, and transmits the electrical signal to the speaker 511.
扬声器511将手机通过RF电路505从无线网络接收的语音信号,还原为声音并向用户播放该声音。The speaker 511 restores the voice signal received by the mobile phone from the wireless network through the RF circuit 505 to sound and plays the sound to the user.
电源管理芯片508为CPU 502、I/O子系统及外设接口所连接的硬件进行供电及电源管理。The power management chip 508 provides power and power management for the hardware connected to the CPU 502, the I/O subsystem, and the peripheral interface.
本申请实施例提供的移动终端,可以实现基于用户当前使用终端的状态结合用户的历史亮度调节记录,分析出用户偏好的目标亮度值,并基于该目标亮度值对屏幕亮度进行自动调节,且调节结果更符合用户的实际体验要求,从而,提升了用户体验。The mobile terminal provided by the embodiment of the present application can realize the historical brightness adjustment record based on the user's current use state and the user's historical brightness adjustment value, and automatically adjust the screen brightness based on the target brightness value, and adjust The result is more in line with the user's actual experience requirements, thereby improving the user experience.
上述实施例中提供的屏幕亮度的智能调节装置、存储介质及移动终端可执行本申请任意实施例所提供的屏幕亮度的智能调节方法,具备执行该方法相应的功能模块和有益效果。未在上述实施例中详尽描述的技术细节,可参见本申请任意实施例所提供的屏幕亮度的智能调节方法。The intelligent adjustment device, the storage medium and the mobile terminal provided in the above embodiments can perform the intelligent adjustment method of the screen brightness provided by any embodiment of the present application, and have the corresponding functional modules and beneficial effects of performing the method. For details of the technical details that are not described in detail in the above embodiments, reference may be made to the intelligent adjustment method of the screen brightness provided by any embodiment of the present application.

Claims (20)

  1. 一种屏幕亮度的智能调节方法,包括:An intelligent adjustment method for screen brightness, including:
    获取环境光的强度值、前台运行的应用程序的应用标识及终端状态;Obtaining the intensity value of the ambient light, the application identifier of the application running in the foreground, and the terminal status;
    在预设的亮度调节事件被触发时,通过预先配置的亮度预测模型确定与所述强度值、应用程序及终端状态对应的目标亮度值,其中,所述亮度预测模型为根据历史亮度调节记录训练的深度学习模型;以及When the preset brightness adjustment event is triggered, the target brightness value corresponding to the intensity value, the application, and the terminal state is determined by a pre-configured brightness prediction model, wherein the brightness prediction model is based on the historical brightness adjustment record training Deep learning model;
    根据所述目标亮度值对屏幕亮度进行调节。The screen brightness is adjusted according to the target brightness value.
  2. 根据权利要求1所述的方法,其中,The method of claim 1 wherein
    获取环境光的强度值,包括:按照设定的采样间隔获取环境光传感器输出的数值,将所述数值作为环境光的强度值;以及Obtaining the intensity value of the ambient light, comprising: obtaining the value output by the ambient light sensor according to the set sampling interval, and using the value as the intensity value of the ambient light;
    在获取环境光的强度值之后,还包括:根据所述强度值判断预设的亮度调节事件是否被触发。After acquiring the intensity value of the ambient light, the method further includes: determining, according to the intensity value, whether the preset brightness adjustment event is triggered.
  3. 根据权利要求2所述的方法,其中,根据所述强度值判断预设的亮度调节事件是否被触发,包括:The method according to claim 2, wherein determining whether the preset brightness adjustment event is triggered according to the intensity value comprises:
    计算当前采样时刻获取的环境光传感器输出的第一强度值与上一采样时刻获取的环境光传感器输出的第二强度值的偏差量;以及Calculating a deviation between a first intensity value of the ambient light sensor output obtained at the current sampling time and a second intensity value output by the ambient light sensor acquired at the previous sampling time;
    在所述偏差量超过设定阈值时,确定亮度调节事件被触发。When the amount of deviation exceeds a set threshold, it is determined that the brightness adjustment event is triggered.
  4. 根据权利要求2所述的方法,其中,获取前台运行的应用程序的应用标识及终端状态,包括:The method according to claim 2, wherein the application identifier and the terminal status of the application running in the foreground are obtained, including:
    在所述亮度调节事件被触发时,获取前台运行的应用程序的应用标识,并将获取的系统时间、屏幕的当前亮度值及网络标识作为终端状态,其中,所述网络标识为终端接入的无线网络的名称。When the brightness adjustment event is triggered, the application identifier of the application running in the foreground is obtained, and the obtained system time, the current brightness value of the screen, and the network identifier are used as the terminal status, where the network identifier is the terminal access The name of the wireless network.
  5. 根据权利要求4所述的方法,在获取环境光的强度值、前台运行的应用程序的应用标识及终端状态之后,还包括:The method of claim 4, after acquiring the intensity value of the ambient light, the application identifier of the application running in the foreground, and the terminal status, the method further includes:
    根据预设第一规则匹配所述应用程序的程序编号;Matching the program number of the application according to a preset first rule;
    根据预设第二规则匹配所述网络标识的网络编号;Matching the network number of the network identifier according to a preset second rule;
    根据所述系统时间所属的时间段确定时间编号,其中,对自然日内预设时间区间进行均分得到所述时间段,所述时间段与时间编号关联存储;以及Determining a time number according to a time period to which the system time belongs, wherein the time period is obtained by equally dividing the preset time interval in the natural day, and the time period is stored in association with the time number;
    将所述强度值、程序编号、时间编号、屏幕的当前亮度值及网络编号输入预先配置的亮度预测模型。The intensity value, the program number, the time number, the current brightness value of the screen, and the network number are input to the pre-configured brightness prediction model.
  6. 根据权利要求5所述的方法,其中,根据所述目标亮度值对屏幕亮度进行调节,包括:The method of claim 5, wherein adjusting the brightness of the screen according to the target brightness value comprises:
    计算所述当前亮度值与所述目标亮度值的差值;Calculating a difference between the current brightness value and the target brightness value;
    在所述差值超过设定调节间隔值时,根据亮度调节过程中获取的实时屏幕亮度值与所述目标亮度值的偏差将所述差值分成至少两个数值区间;以及When the difference exceeds the set adjustment interval value, the difference is divided into at least two value intervals according to a deviation of the real-time screen brightness value acquired during the brightness adjustment process from the target brightness value;
    根据所述数值区间对屏幕亮度进行平滑调节。The screen brightness is smoothly adjusted according to the numerical interval.
  7. 根据权利要求6所述的方法,其中,在所述差值未超过设定调节间隔值时,采用所述目标亮度值替换当前亮度值。The method of claim 6, wherein the current brightness value is replaced with the target brightness value when the difference does not exceed a set adjustment interval value.
  8. 根据权利要求1至7中任一项所述的方法,还包括:A method according to any one of claims 1 to 7, further comprising:
    获取与所述目标亮度值对应的目标图像亮度值,并根据所述目标图像亮度值调节当前显示内容的亮度。Obtaining a target image brightness value corresponding to the target brightness value, and adjusting a brightness of the current display content according to the target image brightness value.
  9. 根据权利要求8所述的方法,其中,根据所述目标图像亮度值调节当前显示内容的亮度包括:The method of claim 8, wherein adjusting the brightness of the currently displayed content according to the target image brightness value comprises:
    计算所述当前图像亮度值与所述目标图像亮度值的差值;Calculating a difference between the current image brightness value and the target image brightness value;
    在所述差值超过设定图像亮度调节间隔值时,根据亮度调节过程中获取的实时图像亮度值与所述目标图像亮度值的偏差将所述差值分成至少两个数值区间;以及When the difference exceeds the set image brightness adjustment interval value, dividing the difference into at least two value intervals according to a deviation of the real-time image brightness value obtained during the brightness adjustment process from the target image brightness value;
    根据所述数值区间对图像亮度进行平滑调节。The image brightness is smoothly adjusted according to the numerical interval.
  10. 一种屏幕亮度的智能调节装置,包括:An intelligent adjustment device for screen brightness, comprising:
    状态获取模块,设置为获取环境光的强度值、前台运行的应用程序的应用标识及终端状态;The state obtaining module is configured to obtain an intensity value of the ambient light, an application identifier of the application running in the foreground, and a terminal state;
    目标值确定模块,设置为在预设的亮度调节事件被触发时,通过预先配置的亮度预测模型确定与所述强度值、应用程序及终端状态对应的目标亮度值,其中,所述亮度预测模型为根据历史亮度调节记录训练的深度学习模型;以及a target value determining module configured to determine a target brightness value corresponding to the intensity value, an application, and a terminal state by a pre-configured brightness prediction model when the preset brightness adjustment event is triggered, wherein the brightness prediction model a deep learning model for training training based on historical brightness adjustment;
    亮度调节模块,设置为根据所述目标亮度值对屏幕亮度进行调节。The brightness adjustment module is configured to adjust the brightness of the screen according to the target brightness value.
  11. 根据权利要求10所述的装置,其中,所述状态获取模块设置为:按照设定的采样间隔获取环境光传感器输出的数值,将所述数值作为环境光的强度值;The device according to claim 10, wherein the state obtaining module is configured to: obtain a value output by the ambient light sensor according to the set sampling interval, and use the value as the intensity value of the ambient light;
    在状态获取模块获取环境光的强度值之后,还包括:事件判断模块,设置为根据所述强度值判断预设的亮度调节事件是否被触发。After the state obtaining module acquires the intensity value of the ambient light, the method further includes: an event determining module, configured to determine, according to the intensity value, whether the preset brightness adjustment event is triggered.
  12. 根据权利要求11所述的装置,其中,所述事件判断模块设置为:The apparatus of claim 11 wherein said event determination module is configured to:
    计算当前采样时刻获取的环境光传感器输出的第一强度值与上一采样时刻获取的环境光传感器输出的第二强度值的偏差量;以及Calculating a deviation between a first intensity value of the ambient light sensor output obtained at the current sampling time and a second intensity value output by the ambient light sensor acquired at the previous sampling time;
    在所述偏差量超过设定阈值时,确定亮度调节事件被触发。When the amount of deviation exceeds a set threshold, it is determined that the brightness adjustment event is triggered.
  13. 根据权利要11所述的装置,其中,所述状态获取模块设置为:The apparatus of claim 11, wherein the state acquisition module is configured to:
    在所述亮度调节事件被触发时,获取前台运行的应用程序的应用标识,并将获取的系统时间、屏幕的当前亮度值及网络标识作为终端状态,其中,所述网络标识为终端接入的无线网络的名称。When the brightness adjustment event is triggered, the application identifier of the application running in the foreground is obtained, and the obtained system time, the current brightness value of the screen, and the network identifier are used as the terminal status, where the network identifier is the terminal access The name of the wireless network.
  14. 根据权利要13所述的装置,在状态获取模块获取环境光的强度值、前台运行的应用程序的应用标识及终端状态之后,还包括:The device of claim 13, after the state acquisition module acquires the intensity value of the ambient light, the application identifier of the application running in the foreground, and the terminal state, the method further includes:
    预处理模块,设置为:根据预设第一规则匹配所述应用程序的程序编号;根据预设第二规则匹配所述网络标识的网络编号;根据所述系统时间所属的时间段确定时间编号,其中,对自然日内预设时间区间进行均分得到所述时间段,所述时间段与时间编号关联存储;以及a pre-processing module, configured to: match a program number of the application according to a preset first rule; match a network number of the network identifier according to a preset second rule; and determine a time number according to a time period to which the system time belongs, The time period is obtained by equally dividing the preset time interval in the natural day, and the time period is stored in association with the time number;
    模型输入模块,设置为将所述强度值、程序编号、时间编号、屏幕的当前亮度值及网络编号输入预先配置的亮度预测模型。The model input module is configured to input the intensity value, the program number, the time number, the current brightness value of the screen, and the network number into the pre-configured brightness prediction model.
  15. 根据权利要求14所述的装置,其中,亮度调节模块设置为:The apparatus of claim 14 wherein the brightness adjustment module is configured to:
    计算所述当前亮度值与所述目标亮度值的差值;Calculating a difference between the current brightness value and the target brightness value;
    在所述差值超过设定调节间隔值时,根据亮度调节过程中获取的实时屏幕亮度值与所述目标亮度值的偏差将所述差值分成至少两个数值区间;以及When the difference exceeds the set adjustment interval value, the difference is divided into at least two value intervals according to a deviation of the real-time screen brightness value acquired during the brightness adjustment process from the target brightness value;
    根据所述数值区间对屏幕亮度进行平滑调节。The screen brightness is smoothly adjusted according to the numerical interval.
  16. 根据权利要求15所述的装置,其中,所述亮度调节模块设置为:The apparatus of claim 15 wherein said brightness adjustment module is configured to:
    在所述差值未超过设定调节间隔值时,采用所述目标亮度值替换当前亮度值。When the difference does not exceed the set adjustment interval value, the target brightness value is used to replace the current brightness value.
  17. 根据权利要求10至16中任一项所述的装置,还包括:内容亮度调节模块,设置为:The apparatus according to any one of claims 10 to 16, further comprising: a content brightness adjustment module, configured to:
    获取与所述目标亮度值对应的目标图像亮度值,并根据所述目标图像亮度值调节当前显示内容的亮度。Obtaining a target image brightness value corresponding to the target brightness value, and adjusting a brightness of the current display content according to the target image brightness value.
  18. 根据权利要17所述的装置,其中,所述内容亮度调节模块设置为:The apparatus of claim 17 wherein said content brightness adjustment module is configured to:
    计算所述当前图像亮度值与所述目标图像亮度值的差值;Calculating a difference between the current image brightness value and the target image brightness value;
    在所述差值超过设定图像亮度调节间隔值时,根据亮度调节过程中获取的实时图像亮度值与所述目标图像亮度值的偏差将所述差值分成至少两个数值区间;以及When the difference exceeds the set image brightness adjustment interval value, dividing the difference into at least two value intervals according to a deviation of the real-time image brightness value obtained during the brightness adjustment process from the target image brightness value;
    根据所述数值区间对图像亮度进行平滑调节。The image brightness is smoothly adjusted according to the numerical interval.
  19. 一种计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现如权利要求1至9中任一项所述的屏幕亮度的智能调节方法。A computer readable storage medium having stored thereon a computer program for performing an intelligent adjustment method of screen brightness according to any one of claims 1 to 9 when executed by a processor.
  20. 一种移动终端,包括存储器,处理器及存储在存储器上并可在处理器运行的计算机程序,所述处理器执行所述计算机程序时实现如权利要求1至9中任一项所述的屏幕亮度的智能调节方法。A mobile terminal comprising a memory, a processor, and a computer program stored on the memory and operable by the processor, the processor executing the computer program to implement the screen of any one of claims 1 to 9. Intelligent adjustment method of brightness.
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CN114927091B (en) * 2022-05-30 2023-11-28 卡莱特云科技股份有限公司 Thermal screen effect processing method, device and system for LED display screen
CN117545122A (en) * 2023-12-07 2024-02-09 广东省科技基础条件平台中心 LED lamp array control method, device, storage medium and equipment

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