A method and system for automatically adjusting brightness of an organic electroluminescent display panel

Abstract

The present invention discloses an automatic brightness adjustment method and system for an organic electroluminescent display panel. The method and system use an ambient light sensor to monitor the ambient light intensity and convert the light intensity into an electrical signal. Then, the central processing module converts the electrical signal into a first adjustment instruction for the brightness of the organic electroluminescent display panel. In addition, the method collects the manual adjustment operation data of the user on the brightness of the organic electroluminescent display panel in different time periods and different usage scenarios, and uses a machine learning algorithm to analyze the manual adjustment operation data and establish a user habit model. A second adjustment instruction is generated according to the user habit model and current environmental information. The central processing module combines the first adjustment instruction and the second adjustment instruction to realize automatic adjustment of the brightness of the organic electroluminescent display panel, thereby improving the flexibility of brightness adjustment and providing users with a better usage experience.

Description

Technical Field

[0001] The present invention relates to the technical field of display panels, and in particular to a method and system for automatically adjusting the brightness of an organic electroluminescent display panel. Background Art

[0002] Organic electroluminescent display, or organic light-emitting diode (OLED) display, achieves the purpose of emitting light and displaying by driving organic semiconductor thin films with electric current. OLED has the advantages of being thin and light, actively emitting light, having a wide viewing angle, fast response, low energy consumption, excellent low temperature and shock resistance, and potential flexible design. OLED is a fully solid-state device with no vacuum cavity or liquid components, so it is not afraid of vibration and is easy to use. With its high resolution, wide viewing angle, and wide operating temperature range, it has been widely used in fields such as weapons and equipment and harsh environments.

[0003] Organic Light-Emitting Diode Display Panel (OLED panel for short) is a display technology based on the principle of organic electroluminescence. Organic electroluminescent display panel is a technology used in computer monitors, televisions, mobile devices and various other display devices. With the rapid development of mobile devices and display technology, the application of organic electroluminescent display panels is becoming more and more extensive. In order to adapt to the lighting conditions of different environments, the brightness of the organic electroluminescent display panel needs to be automatically adjusted.

[0004] However, the existing automatic brightness adjustment methods for organic electroluminescent display panels mostly only detect the light brightness of the surrounding environment and automatically adjust the display brightness of the organic electroluminescent display panel according to the light brightness of the surrounding environment. However, in actual applications, different users have different feelings about screen display. It is difficult to meet the brightness of the user's actual personal needs based solely on the light brightness of the surrounding environment, which may lead to poor flexibility in automatic brightness adjustment of the organic electroluminescent display panel and poor user experience, and fail to meet the actual needs of users. Summary of the invention

[0005] In view of the above technical problems, the purpose of the present invention is to provide a method and system for automatically adjusting the brightness of an organic electroluminescent display panel. The method and system for automatically adjusting the brightness of an organic electroluminescent display panel can realize fast and flexible adjustment of the brightness of the organic electroluminescent display panel, and can automatically adjust the brightness of the organic electroluminescent display panel according to user preferences, thereby improving the flexibility, reliability and intelligence of brightness adjustment.

[0006] In order to achieve the above object, the present invention provides a method for automatically adjusting the brightness of an organic electroluminescent display panel, comprising:

[0007] Using an ambient light sensor to monitor the ambient light intensity, the ambient light sensor is used to convert the monitored ambient light intensity into an electrical signal;

[0008] Transmitting the electrical signal to a central processing module of the organic electroluminescent display panel, wherein the central processing module is preset with an algorithm, and the algorithm is used to convert the electrical signal into a first adjustment instruction for the brightness of the organic electroluminescent display panel;

[0009] Collecting manual adjustment operation data of the brightness of the organic electroluminescent display panel by the user in different time periods and different usage scenarios;

[0010] Analyzing the manual adjustment operation data using a machine learning algorithm and establishing a user habit model, wherein the user habit model includes the user's brightness preferences in different time periods and different usage scenarios, and continuously updating the user habit model as the user uses the organic electroluminescent display panel for an increasing period of time;

[0011] generating a second adjustment instruction according to the user habit model and current environment information;

[0012] The central processing module combines the first adjustment instruction and the second adjustment instruction to automatically adjust the brightness of the organic electroluminescent display panel by changing the current or voltage applied to the organic electroluminescent display panel.

[0013] In some preferred embodiments of the present invention, the ambient light sensor is a photodiode or a phototransistor, and the monitoring frequency of the ambient light sensor is once every N milliseconds, where N is a settable positive number, to ensure real-time acquisition of changes in ambient light intensity. The central processing module amplifies and filters the electrical signal converted from the ambient light intensity monitored by the ambient light sensor, and then converts it into the first adjustment instruction.

[0014] In some preferred embodiments of the present invention, the method for automatically adjusting the brightness of an organic electroluminescent display panel further includes: analyzing the image content displayed by the organic electroluminescent display panel to extract image brightness feature information;

[0015] generating a third adjustment instruction according to the image brightness feature information and a preset mapping relationship, wherein the mapping relationship is a correspondence between the image brightness feature and the display panel brightness;

[0016] The first adjustment instruction, the second adjustment instruction and the third adjustment instruction are combined to adjust the brightness of the organic electroluminescent display panel.

[0017] In some preferred embodiments of the present invention, the image brightness characteristic information includes at least one of image overall brightness, image contrast, and image color distribution information.

[0018] In some preferred embodiments of the present invention, the third adjustment instruction specifically includes:

[0019] Determine the overall brightness of the image according to the image brightness feature information;

[0020] When it is determined that the image is overall dark, the current or voltage applied to the organic electroluminescent display panel is increased to increase the panel brightness; when it is determined that the image is overall bright, the current or voltage applied to the organic electroluminescent display panel is reduced to reduce the panel brightness;

[0021] Different brightness adjustment strategies are adopted for different types of image content, and the image content types include text, video and game. Among them, the text display maintains a relatively high brightness, the video dynamically adjusts the brightness according to the light and dark changes of the video scene, and the game adjusts the brightness according to the brightness of key elements in the game scene and the overall visual effect.

[0022] In some preferred embodiments of the present invention, the central processing module combines the first adjustment instruction and the second adjustment instruction to specifically set the brightness adjustment value corresponding to the first adjustment instruction to , the brightness adjustment value corresponding to the second adjustment instruction is set to , through the formula Calculate the final brightness adjustment value ,in and is the weight coefficient.

[0023] In some preferred embodiments of the present invention, the collecting of the manual adjustment operation data of the brightness of the organic electroluminescent display panel by the user in different time periods and different usage scenarios specifically includes:

[0024] By setting up a data acquisition module and a data recording program, when the user manually adjusts the brightness of the organic electroluminescent display panel, the data recording program is used to record the time point when the operation occurs, the adjusted brightness value, and the current scene information of the organic electroluminescent display panel, and record them in real time in the data acquisition module, wherein the user habit model includes the correspondence between different time periods, different usage scenarios and brightness settings.

[0025] In some preferred embodiments of the present invention, the machine learning algorithm is a K-Means clustering algorithm, which is used to classify the brightness adjustment behaviors of users in different time periods and scenes, and the calculation formula is: , set the data point to , and set the feature dimension to represent the data point, the feature dimension includes encoding the time and scene features and forming multi-dimensional data, the cluster center is .

[0026] In some preferred embodiments of the present invention, the calculation formula is also used Assign the data point to the cluster with the closest distance, where Represents the set of data points contained in the kth cluster. After all data points are assigned to clusters, the calculation formula is used Recalculate the center of each cluster, where Represents the number of data points in the kth cluster, and then the above process is repeated.

[0027] An organic electroluminescent display panel brightness automatic adjustment system, comprising:

[0028] Ambient light sensor module, used to monitor the ambient light intensity and convert it into an electrical signal;

[0029] A user habit data collection module, used to collect the manual adjustment operation data of the user on the brightness of the organic electroluminescent display panel in different time periods and different usage scenarios, and use a machine learning algorithm to analyze the manual adjustment operation data and establish a user habit model;

[0030] A central processing module, wherein the central processing module is connected to the ambient light sensor module and the user habit data collection module respectively, and the central processing module includes a preset algorithm for generating an adjustment instruction for the brightness of the organic electroluminescent display panel according to the electrical signal from the ambient light sensor and the user habit data of the user habit data collection module, and realizing automatic adjustment of the brightness of the organic electroluminescent display panel by changing the current or voltage applied to the organic electroluminescent display panel.

[0031] Compared with the prior art, the method and system for automatically adjusting the brightness of an organic electroluminescent display panel provided by the present invention have the following beneficial effects:

[0032] The present invention provides a method and system for automatically adjusting the brightness of an organic electroluminescent display panel. The method and system use an ambient light sensor to monitor the ambient light intensity and convert the light intensity into an electrical signal. Then, the central processing module converts the electrical signal into a first adjustment instruction for the brightness of the organic electroluminescent display panel. In addition, the method collects the manual adjustment operation data of the user on the brightness of the organic electroluminescent display panel in different time periods and different usage scenarios, and uses a machine learning algorithm to analyze the manual adjustment operation data and establish a user habit model. As the duration of the user using the organic electroluminescent display panel increases, the user habit model is continuously updated. A second adjustment instruction is generated according to the user habit model and current environmental information. The central processing module combines the first adjustment instruction and the second adjustment instruction to realize automatic adjustment of the brightness of the organic electroluminescent display panel. By combining the ambient light signal with the user's usage habits, the flexibility, reliability, pertinence and intelligence of the brightness adjustment are improved, so that the user has a better usage experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0034] Figure 1 is a flow chart of a method for automatically adjusting brightness of an organic electroluminescent display panel according to a preferred embodiment of the present invention;

[0035] Figure 2 is a flow chart of a K-Means clustering algorithm used in a method for automatically adjusting brightness of an organic electroluminescent display panel according to a preferred embodiment of the present invention;

[0036] Figure 3 It is a structural schematic diagram of an automatic brightness adjustment system for an organic electroluminescent display panel according to a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings and other implementation methods can be obtained based on these drawings without creative work.

[0038] In order to simplify the drawings, only the parts related to the invention are schematically shown in each figure, and they do not represent the actual structure of the product. In addition, in order to simplify the drawings and facilitate understanding, in some figures, only one of the parts with the same structure or function is schematically drawn or marked. In this article, "one" not only means "only one", but also means "more than one".

[0039] It should be further understood that the term “and / or” used in the specification and appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0040] In this document, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0041] In addition, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0042] The present invention provides a method for automatically adjusting the brightness of an organic electroluminescent display panel, comprising:

[0043] An ambient light sensor is used to monitor the ambient light intensity. The ambient light sensor is used to convert the monitored ambient light intensity into an electrical signal. The ambient light sensor is a photodiode or a phototransistor. The monitoring frequency of the ambient light sensor is once every N milliseconds, where N is a settable positive number to ensure real-time acquisition of changes in ambient light intensity.

[0044] The electrical signal is transmitted to a central processing module of the organic electroluminescent display panel, wherein an algorithm is preset in the central processing module, and the algorithm is used to convert the electrical signal into a first adjustment instruction for the brightness of the organic electroluminescent display panel. The central processing module amplifies and filters the electrical signal converted from the ambient light intensity monitored by the ambient light sensor, and then converts it into the first adjustment instruction.

[0045] The method collects the manual adjustment operation data of the brightness of the organic electroluminescent display panel by the user in different time periods and different usage scenarios. Specifically, by setting a data acquisition module and a data recording program, when the user manually adjusts the brightness of the organic electroluminescent display panel, the data recording program is used to record the time point when the operation occurs, the adjusted brightness value, and the current scene information of the organic electroluminescent display panel, and records them in real time in the data acquisition module.

[0046] A machine learning algorithm is used to analyze the manual adjustment operation data and establish a user habit model, wherein the user habit model includes the user's brightness preferences in different time periods and different usage scenarios. As the duration of the user's use of the organic electroluminescent display panel increases, the user habit model is continuously updated, wherein the user habit model includes a correspondence between different time periods, different usage scenarios and brightness settings.

[0047] A second adjustment instruction is generated according to the user habit model and current environment information.

[0048] The central processing module combines the first adjustment instruction and the second adjustment instruction to automatically adjust the brightness of the organic electroluminescent display panel by changing the current or voltage applied to the organic electroluminescent display panel, wherein the central processing module combines the first adjustment instruction and the second adjustment instruction to specifically set the brightness adjustment value corresponding to the first adjustment instruction to , the brightness adjustment value corresponding to the second adjustment instruction is set to , through the formula Calculate the final brightness adjustment value ,in and is the weight coefficient.

[0049] In some preferred embodiments of the present invention, the method further comprises: analyzing the image content displayed by the organic electroluminescent display panel to extract image brightness feature information;

[0050] generating a third adjustment instruction according to the image brightness feature information and a preset mapping relationship, wherein the mapping relationship is a correspondence between the image brightness feature and the display panel brightness;

[0051] The first adjustment instruction, the second adjustment instruction and the third adjustment instruction are combined to adjust the brightness of the organic electroluminescent display panel.

[0052] In some preferred embodiments of the present invention, the image brightness characteristic information includes at least one of image overall brightness, image contrast, and image color distribution information.

[0053] In some preferred embodiments of the present invention, the third adjustment instruction specifically includes:

[0054] Determine the overall brightness of the image according to the image brightness feature information;

[0055] When it is determined that the image is overall dark, the current or voltage applied to the organic electroluminescent display panel is increased to increase the panel brightness; when it is determined that the image is overall bright, the current or voltage applied to the organic electroluminescent display panel is reduced to reduce the panel brightness;

[0056] Different brightness adjustment strategies are adopted for different types of image content, and the image content types include text, video and game. Among them, the text display maintains a relatively high brightness, the video dynamically adjusts the brightness according to the light and dark changes of the video scene, and the game adjusts the brightness according to the brightness of key elements in the game scene and the overall visual effect.

[0057] In some preferred embodiments of the present invention, the basis for judging the overall brightness of the image is to compare the average brightness of the image with a preset brightness threshold, and the preset brightness threshold can be adjusted according to different image content types.

[0058] In some preferred embodiments of the present invention, the machine learning algorithm is a K-Means clustering algorithm, which is used to classify the brightness adjustment behaviors of users in different time periods and scenes, and the calculation formula is: , set the data point to , and set the feature dimension to represent the data point, the feature dimension includes encoding the time and scene features and forming multi-dimensional data, the cluster center is .

[0059] In some preferred embodiments of the present invention, the calculation formula is also used Assign the data point to the cluster with the closest distance, where Represents the set of data points contained in the kth cluster. When all data points are assigned to clusters, the calculation formula is used Recalculate the center of each cluster, where Represents the number of data points in the kth cluster, and then the above process is repeated.

[0060] The present invention also provides an organic electroluminescent display panel brightness automatic adjustment system, comprising:

[0061] Ambient light sensor module, used to monitor the ambient light intensity and convert it into an electrical signal;

[0062] A user habit data collection module, used to collect the manual adjustment operation data of the user on the brightness of the organic electroluminescent display panel in different time periods and different usage scenarios, and use a machine learning algorithm to analyze the manual adjustment operation data and establish a user habit model;

[0063] A central processing module, wherein the central processing module is connected to the ambient light sensor module and the user habit data collection module respectively, and the central processing module includes a preset algorithm for generating an adjustment instruction for the brightness of the organic electroluminescent display panel according to the electrical signal from the ambient light sensor and the user habit data of the user habit data collection module, and realizing automatic adjustment of the brightness of the organic electroluminescent display panel by changing the current or voltage applied to the organic electroluminescent display panel.

[0064] The present invention provides an organic electroluminescent display panel brightness automatic adjustment method and system, which realizes automatic adjustment of the brightness of the organic electroluminescent display panel. By combining the ambient light signal with the user's usage habits, the flexibility, reliability, pertinence and intelligence of the brightness adjustment are improved, so that the user has a better usage experience.

[0065] Specifically, in this embodiment, please refer to Figures 1 to 3 ,in, Figure 1 is a flow chart of a method for automatically adjusting brightness of an organic electroluminescent display panel according to a preferred embodiment of the present invention. Figure 2 is a flow chart of a K-Means clustering algorithm used in a method for automatically adjusting brightness of an organic electroluminescent display panel according to a preferred embodiment of the present invention, Figure 3 It is a structural schematic diagram of an automatic brightness adjustment system for an organic electroluminescent display panel according to a preferred embodiment of the present invention.

[0066] In this embodiment, please refer to Figure 1 A preferred embodiment of the present invention provides a method for automatically adjusting the brightness of an organic electroluminescent display panel, comprising:

[0067] S1: Use an ambient light sensor to monitor the ambient light intensity, the ambient light sensor is used to convert the monitored ambient light intensity into an electrical signal, wherein the ambient light sensor is a photodiode or a phototransistor, and the monitoring frequency of the ambient light sensor is once every N milliseconds, wherein N is a settable positive number, to ensure real-time acquisition of changes in ambient light intensity. In this embodiment, the ambient light sensor is preferably a photodiode. Since the photodiode works based on the photovoltaic effect, under illumination conditions, electron-hole pairs are generated in a PN junction (a structure composed of a P-type semiconductor and an N-type semiconductor). These electrons and holes move to the N region and the P region respectively under the action of the electric field in the PN junction, thereby forming a photoinduced electromotive force at both ends of the PN junction.

[0068] In this embodiment, a current-to-voltage conversion circuit is set up to convert the photocurrent into a voltage signal. When the photodiode operates in a reverse bias state and when ambient light shines on the photodiode, the photocurrent generated is proportional to the light intensity. The photocurrent is converted into a voltage signal through a current-to-voltage conversion circuit (such as a transimpedance amplifier). This voltage signal reflects the change in ambient light intensity.

[0069] In addition, ambient light sensors usually have an optical window to allow ambient light to enter the sensor. In order to increase the sensor's sensitivity to light in a specific wavelength range or reduce the impact of interfering light, a filter may be installed behind the optical window. For example, in some applications, only the light intensity in the visible light range needs to be monitored, so a filter that only allows visible light to pass can be used.

[0070] S2: Transmitting the electrical signal to the central processing module of the organic electroluminescent display panel, wherein the central processing module is preset with an algorithm for converting the electrical signal into a first adjustment instruction for the brightness of the organic electroluminescent display panel. The central processing module amplifies and filters the electrical signal converted from the ambient light intensity monitored by the ambient light sensor, and then converts it into the first adjustment instruction.

[0071] In this embodiment, the ambient light sensor is electrically connected to the central processing module, or connected by a communication protocol. For example, the ambient light sensor and the central processing module of the organic electroluminescent display panel are directly soldered on a circuit board, or electrically connected by plugging and unplugging a connector, so as to ensure that the electrical signal can be stably transmitted from the ambient light sensor to the central processing module. In order to reduce interference during signal transmission, shielded wires can be used, and areas that may cause interference, such as high-frequency signal sources and power supplies, should be avoided as much as possible during wiring; a suitable communication protocol can also be determined to transmit electrical signals, such as I2C (Inter-Integrated Circuit), SPI (Serial Peripheral Interface), etc. In the I2C protocol, the ambient light sensor serves as a slave device and the central processing module serves as a master device. The ambient light sensor converts the collected ambient light intensity into data in a specific format (such as 8-bit or 16-bit binary data), and transmits the data bit by bit to the central processing module according to the timing and address information specified in the I2C protocol.

[0072] In this embodiment, optimally, the I / O (input / output) interface in the central processing module receives data from the ambient light sensor according to a predetermined communication protocol. For example, under the SPI protocol, the data sent by the ambient light sensor is read bit by bit through the coordination of the clock signal and the data signal, and the data is stored in an internal register or memory buffer. The algorithm can be at least one of a linear mapping algorithm, a piecewise linear algorithm, and a nonlinear algorithm. The corresponding brightness adjustment value is calculated by the algorithm, and this brightness adjustment value will be used as a parameter of the first adjustment instruction.

[0073] In this embodiment, a signal amplification and conditioning circuit can be set to amplify the electrical signal output from the ambient light sensor. Optimally, the amplified electrical signal is conditioned, such as removing noise and interference signals through a filtering circuit to improve the quality of the electrical signal. The amplified and conditioned analog electrical signal is converted into a digital signal through an analog-to-digital conversion circuit, and the central processing module converts the digital signal into a first adjustment instruction, wherein the first adjustment instruction can be data in a specific format, which not only includes a brightness adjustment value, but also may include some control information, such as an instruction type (brightness adjustment instruction), a target device (organic electroluminescent display panel), etc. For example, the first adjustment instruction can be one byte of data, wherein the upper 4 bits represent the instruction type, and the lower 4 bits represent the brightness adjustment value, thereby improving the adjustment efficiency and adaptability.

[0074] S3: Collecting the user's manual adjustment operation data on the brightness of the organic electroluminescent display panel in different time periods and different usage scenarios. Specifically, by setting a data acquisition module and a data recording program, when the user manually adjusts the brightness of the organic electroluminescent display panel, the data recording program is used to record the time point when the operation occurs, the adjusted brightness value, and the current scene information of the organic electroluminescent display panel, and record them in real time in the data acquisition module.

[0075] S4: Use a machine learning algorithm to analyze the manual adjustment operation data and establish a user habit model, wherein the user habit model includes the user's brightness preferences in different time periods and different usage scenarios. As the user uses the organic electroluminescent display panel for an increasing duration, the user habit model is continuously updated, wherein the user habit model includes a correspondence between different time periods, different usage scenarios and brightness settings.

[0076] In this embodiment, please refer to Figure 2 , the machine learning algorithm is the K-Means clustering algorithm, wherein the specific processing flow of the K-Means clustering algorithm is as follows:

[0077] S41: Calculate the distance. Assume that we have n data points, each of which represents a user's brightness adjustment behavior, including time, scene, brightness value and other information. Cluster them into K categories. Let data point , where d represents the characteristic dimension of the data point. For example, time, scene and other features can be encoded to form multi-dimensional data, and the cluster center , Euclidean distance is usually used to calculate the distance from a data point to the cluster center: ;

[0078] S42: randomly select a data point as the initial cluster center. Of course, in some cases, other initialization methods can also be used;

[0079] S43: Assign data points to clusters, for example, for each data point , calculate its distance to the K cluster centers, and then use the calculation formula Assign it to the cluster with the closest distance, where Represents the set of data points contained in the kth cluster;

[0080] S44: After all data points are assigned to clusters, use the calculation formula Recalculate the center of each cluster, where represents the number of data points in the kth cluster;

[0081] S45: Continuously repeat steps S43 and S44 until the cluster center no longer changes significantly, for example, the sum of the moving distances of the cluster center in two iterations is less than a certain threshold, or the preset maximum number of iterations is reached. For example, to classify the user's brightness adjustment behavior when reading at night and when playing games during the day, we can classify the time from 6 am to 6 pm as daytime and 6 pm to 6 am as night, which are encoded as 0 and 1 respectively, where reading is encoded as 0 and playing games is encoded as 1, and the brightness value is used as the feature of the data point, and then clustering and classification are performed through the calculation process of the above-mentioned K-Means algorithm.

[0082] S5: Generate a second adjustment instruction according to the user habit model and current environment information.

[0083] S6: The central processing module combines the first adjustment instruction and the second adjustment instruction to automatically adjust the brightness of the organic electroluminescent display panel by changing the current or voltage applied to the organic electroluminescent display panel.

[0084] In this embodiment, specifically, the input interface of the central processing module continuously monitors the input signals of the first adjustment instruction from the ambient light sensor and the second adjustment instruction generated based on the user habit model, wherein the first adjustment instruction and the second adjustment instruction can be transmitted to the central processing module through a specific communication protocol, such as I2C, SPI, etc.

[0085] Next, when the central processing module receives the first adjustment instruction and the second adjustment instruction signal, the central processing module converts the first adjustment instruction into a corresponding brightness adjustment value according to a preset algorithm. At the same time, the central processing module extracts the user's habitual brightness preference value contained in the second adjustment instruction. Then, the central processing module combines the first adjustment instruction and the second adjustment instruction in a weighted fusion manner. In this embodiment, the brightness adjustment value corresponding to the first adjustment instruction is The brightness adjustment value corresponding to the second adjustment instruction is , the final brightness adjustment value can be calculated by the following formula : ,in and It is a weight coefficient, which can be adjusted according to actual needs. The selection of the weight coefficient can take into account factors such as the importance of ambient light changes and the stability of user habits. If a simpler fusion method is required, the priority can also be set. For example, if the ambient light changes greatly, the first adjustment instruction can be given a higher priority, and the brightness adjustment value of the first adjustment instruction can be directly used as the final value. If the ambient light changes slightly, but the user habits are significantly different from the current brightness, the second adjustment instruction can be directly given a higher priority.

[0086] In this embodiment, the brightness of the organic electroluminescent display panel is automatically adjusted by changing the current or voltage applied to the organic electroluminescent display panel. For example, if the brightness of the organic electroluminescent display panel is automatically adjusted by controlling the current, specifically:

[0087] The central processing module converts the calculated brightness adjustment value into an analog voltage signal through a digital-to-analog converter (DAC). This analog voltage signal is input into the drive circuit of the display panel as a reference signal for current control. The drive circuit usually adopts a constant current source drive method to control the luminous intensity of the pixels in the organic electroluminescent display panel by adjusting the output current. For example, when the brightness needs to be increased, the analog voltage signal output by the central processing module increases, and the drive circuit increases the output current accordingly; conversely, when the brightness needs to be reduced, the output current is reduced.

[0088] In order to achieve precise current control, a feedback mechanism can be used to set a current detection resistor in the driving circuit, monitor the output current in real time, and feed back the detected current signal to the central processing module. The central processing module adjusts the output analog voltage signal according to the feedback signal to ensure that the output current matches the desired brightness adjustment value.

[0089] In some cases, if the voltage control method is used to realize automatic adjustment of the brightness of the organic electroluminescent display panel, specifically:

[0090] After the central processing module converts the brightness adjustment value into an analog voltage signal, it is directly input into the pixel electrode or common electrode of the display panel, and the luminous intensity of the pixel is controlled by changing the voltage difference between the electrodes. Different organic electroluminescent display panels may require different voltage control ranges and methods. For example, for an active matrix organic electroluminescent display panel (AMOLED), the driving voltage of each pixel needs to be controlled separately; while for a passive matrix organic electroluminescent display panel (PMOLED), row scanning and column driving methods can be used to control the voltage of the entire panel. In addition, a feedback mechanism can also be used to ensure the accuracy of voltage control. For example, a voltage detection point is set on the electrode of the display panel to monitor the voltage between the electrodes in real time, and the detected voltage signal is fed back to the central processing module. The central processing module adjusts the output analog voltage signal according to the feedback signal to achieve accurate brightness adjustment.

[0091] In addition, in this embodiment, the method for automatically adjusting the brightness of an organic electroluminescent display panel further includes image processing, specifically including:

[0092] S100: Analyze the image content displayed by the organic electroluminescent display panel to extract image brightness feature information, wherein the image brightness feature information includes at least one of image overall brightness, image contrast, and image color distribution information.

[0093] S101: Generate a third adjustment instruction based on the image brightness characteristic information and a preset mapping relationship, wherein the mapping relationship is a correspondence between the image brightness characteristic and the display panel brightness, wherein the third adjustment instruction specifically includes: judging the overall brightness of the image based on the image brightness characteristic information; when it is judged that the image is overall dark, increasing the current or voltage applied to the organic electroluminescent display panel to increase the panel brightness; when it is judged that the image is overall bright, reducing the current or voltage applied to the organic electroluminescent display panel to reduce the panel brightness.

[0094] In addition, in this embodiment, the basis for judging the overall brightness of the image is to compare the average brightness of the image with a preset brightness threshold. The preset brightness threshold can be adjusted according to different image content types, that is, different brightness adjustment strategies are adopted for different types of image content. For example, the image content types include text, video and game, wherein a relatively high brightness is maintained for the text display, the brightness of the video is dynamically adjusted according to the light and dark changes of the video scene, and the brightness of the game is adjusted according to the brightness of key elements in the game scene and the overall visual effect.

[0095] S102: Combining the first adjustment instruction, the second adjustment instruction and the third adjustment instruction to adjust the brightness of the organic electroluminescent display panel, wherein the weighted average method can be used to combine the first adjustment instruction, the second adjustment instruction and the third adjustment instruction, that is, a weight coefficient is assigned to each of the first adjustment instruction, the second adjustment instruction and the third adjustment instruction, and then a weighted average calculation is performed on the brightness adjustment values ​​corresponding to each instruction according to the weight coefficient. For example, assuming that the brightness value corresponding to the first adjustment instruction is , the weight is ; The brightness value corresponding to the second adjustment instruction is , the weight is ; The brightness value corresponding to the third adjustment instruction is , the weight is , the final brightness adjustment value can be calculated as: , where the weight coefficient , and The sum is 1, which can be adjusted according to actual conditions to reflect the importance of different instructions.

[0096] In addition, in this embodiment, please refer to Figure 3 The present invention also provides an organic electroluminescent display panel brightness automatic adjustment system 1, comprising:

[0097] An ambient light sensor module 10 is used to monitor the ambient light intensity and convert it into an electrical signal;

[0098] A user habit data collection module 12, for collecting the manual adjustment operation data of the user on the brightness of the organic electroluminescent display panel in different time periods and different usage scenarios, and using a machine learning algorithm to analyze the manual adjustment operation data and establish a user habit model;

[0099] A central processing module 11, wherein the central processing module 11 is connected to the ambient light sensor module 10 and the user habit data collection module 12 respectively, and the central processing module 11 includes a preset algorithm for generating an adjustment instruction for the brightness of the organic electroluminescent display panel according to the electrical signal from the ambient light sensor module 10 and the user habit data of the user habit data collection module 12, and realizing automatic adjustment of the brightness of the organic electroluminescent display panel by changing the current or voltage applied to the organic electroluminescent display panel.

[0100] In this embodiment, the organic electroluminescent display panel brightness automatic adjustment system 1 also includes an image processing module, which is connected to the central processing module 11, and the image processing module is used to analyze the image content displayed by the organic electroluminescent display panel, extract the image brightness feature information, and generate a third adjustment instruction according to the image brightness feature information and a preset mapping relationship.

[0101] The organic electroluminescent display panel brightness automatic adjustment system 1 may adopt the above-mentioned organic electroluminescent display panel brightness automatic adjustment method to automatically adjust the brightness of the organic electroluminescent display panel, which will not be described in detail herein.

[0102] The present invention provides a method and system for automatically adjusting the brightness of an organic electroluminescent display panel. The method and system use an ambient light sensor to monitor the ambient light intensity and convert the light intensity into an electrical signal. Then, the central processing module converts the electrical signal into a first adjustment instruction for the brightness of the organic electroluminescent display panel. In addition, the method collects the manual adjustment operation data of the user on the brightness of the organic electroluminescent display panel in different time periods and different usage scenarios, and uses a machine learning algorithm to analyze the manual adjustment operation data and establish a user habit model. As the duration of the user using the organic electroluminescent display panel increases, the user habit model is continuously updated. A second adjustment instruction is generated according to the user habit model and current environmental information. The central processing module combines the first adjustment instruction and the second adjustment instruction to realize automatic adjustment of the brightness of the organic electroluminescent display panel. By combining the ambient light signal with the user's usage habits, the flexibility, reliability, pertinence and intelligence of the brightness adjustment are improved, so that the user has a better usage experience.

[0103] It should be noted that the above embodiments can be freely combined as needed. The above are only preferred embodiments of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be regarded as the protection scope of the present invention.

[0104] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0105] In addition, the terms "system" and "network" are often used interchangeably in this article. The term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0106] It should be understood that in the embodiment of the present invention, "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B according to A does not mean determining B only according to A, and B can also be determined according to A and / or other information.

[0107] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0108] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0109] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, or it can be an electrical, mechanical or other form of connection.

[0110] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0111] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0112] Through the description of the above embodiments, it is clear to those skilled in the art that the present invention can be implemented in hardware, firmware, or a combination thereof. When implemented using software, the above functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein the communication media include any medium that facilitates the transmission of computer programs from one place to another. The storage medium can be any available medium that a computer can access. Taking this as an example but not limited to: a computer-readable medium can include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store a desired program code in the form of an instruction or data structure and can be accessed by a computer. In addition. Any connection can be appropriately a computer-readable medium. For example, if the software is transmitted from a website, server or other remote source using a coaxial cable, optical fiber cable, twisted pair, digital subscriber line (DSL) or wireless technologies such as infrared, radio and microwaves, then the coaxial cable, optical fiber cable, twisted pair, DSL or wireless technologies such as infrared, wireless and microwaves are included in the fixing of the medium. As used in the present invention, disk and disc include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and blue-ray disc, wherein disk usually reproduces data magnetically, while disc uses laser to reproduce data optically. The above combination should also be included in the scope of protection of computer-readable media.

[0113] In short, the above is only a preferred embodiment of the technical solution of the present invention, and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for automatically adjusting the brightness of an organic electroluminescent display panel, characterized in that: include: Using an ambient light sensor to monitor the ambient light intensity, the ambient light sensor is used to convert the monitored ambient light intensity into an electrical signal; Transmitting the electrical signal to a central processing module of the organic electroluminescent display panel, wherein the central processing module is preset with an algorithm, and the algorithm is used to convert the electrical signal into a first adjustment instruction for the brightness of the organic electroluminescent display panel; Collecting manual adjustment operation data of the brightness of the organic electroluminescent display panel by the user in different time periods and different usage scenarios, specifically comprising: by setting a data acquisition module and a data recording program, when the user manually adjusts the brightness of the organic electroluminescent display panel, the data recording program is used to record the time point of the operation, the adjusted brightness value and the current scene information of the organic electroluminescent display panel and record them in real time in the data acquisition module; Using a machine learning algorithm to analyze the manual adjustment operation data and establish a user habit model, wherein the user habit model includes the user's brightness preferences in different time periods and different usage scenarios, wherein the user habit model includes a correspondence between different time periods, different usage scenarios and brightness settings, and the user habit model is continuously updated as the duration of the user using the organic electroluminescent display panel increases; generating a second adjustment instruction according to the user habit model and current environment information; Analyzing the image content displayed by the organic electroluminescent display panel to extract image brightness feature information; generating a third adjustment instruction according to the image brightness feature information and a preset mapping relationship, wherein the mapping relationship is a corresponding relationship between the image brightness feature and the display panel brightness; The third adjustment instruction specifically includes: Determine the overall brightness of the image according to the image brightness feature information; When it is determined that the image is overall dark, the current or voltage applied to the organic electroluminescent display panel is increased to increase the panel brightness; when it is determined that the image is overall bright, the current or voltage applied to the organic electroluminescent display panel is reduced to reduce the panel brightness; Different brightness adjustment strategies are adopted for different types of image content, wherein the image content types include text, video and game, wherein the text display is kept at a relatively high brightness, the video is dynamically adjusted in brightness according to the light and dark changes of the video scene, and the game is adjusted in brightness according to the brightness of key elements in the game scene and the overall visual effect; The central processing module combines the first adjustment instruction, the second adjustment instruction and the third adjustment instruction to adjust the brightness of the organic electroluminescent display panel, and sets the brightness value corresponding to the first adjustment instruction to , the weight is The brightness value corresponding to the second adjustment instruction is , the weight is The brightness value corresponding to the third adjustment instruction is , the weight is , the final brightness adjustment value for: , where the weight coefficient , and The sum is 1, and the brightness of the organic electroluminescent display panel is automatically adjusted by changing the current or voltage applied to the organic electroluminescent display panel.

2. The method for automatically adjusting the brightness of an organic electroluminescent display panel according to claim 1, characterized in that: The ambient light sensor is a photodiode or a phototransistor. The monitoring frequency of the ambient light sensor is once every N milliseconds, where N is a settable positive number, to ensure real-time acquisition of changes in ambient light intensity. The central processing module amplifies and filters the electrical signal converted from the ambient light intensity monitored by the ambient light sensor, and then converts it into the first adjustment instruction.

3. The method for automatically adjusting the brightness of an organic electroluminescent display panel according to claim 1, characterized in that: The image brightness characteristic information includes at least one of image overall brightness, image contrast, and image color distribution information.

4. The method for automatically adjusting the brightness of an organic electroluminescent display panel according to claim 1, characterized in that: The machine learning algorithm is a K-Means clustering algorithm, which is used to classify the user's brightness adjustment behavior in different time periods and scenes. The calculation formula is: , set the data point to , and set the feature dimension to represent the data point, the feature dimension includes encoding the time and / or scene features and forming multi-dimensional data, the cluster center is , k represents the kth cluster center, d represents the data point x i The dth data of .

5. An organic electroluminescent display panel brightness automatic adjustment system, characterized in that: include: Ambient light sensor module, used to monitor the ambient light intensity and convert it into an electrical signal; A user habit data collection module, used to collect the manual adjustment operation data of the user on the brightness of the organic electroluminescent display panel in different time periods and different usage scenarios, specifically including: by setting a data collection module and a data recording program, when the user manually adjusts the brightness of the organic electroluminescent display panel, the data recording program is used to record the time point of the operation, the adjusted brightness value and the current scene information of the organic electroluminescent display panel and record them in real time in the data collection module, and use a machine learning algorithm to analyze the manual adjustment operation data and establish a user habit model, wherein the user habit model includes the correspondence between different time periods, different usage scenarios and brightness settings, and as the duration of the user using the organic electroluminescent display panel increases, the user habit model is continuously updated, and a second adjustment instruction is generated according to the user habit model and current environmental information; An image processing module, the image processing module is used to analyze the image content displayed by the organic electroluminescent display panel, extract image brightness feature information, and generate a third adjustment instruction according to the image brightness feature information and a preset mapping relationship, wherein the mapping relationship is a correspondence between the image brightness feature and the display panel brightness; the third adjustment instruction specifically includes: judging the overall brightness of the image according to the image brightness feature information; when judging that the image is overall dark, increasing the current or voltage applied to the organic electroluminescent display panel to increase the panel brightness; when judging that the image is overall bright, reducing the current or voltage applied to the organic electroluminescent display panel to reduce the panel brightness; adopting different brightness adjustment strategies for different types of image content, the image content types include text, video and game, wherein the text display maintains a relatively high brightness, the video dynamically adjusts the brightness according to the light and dark changes of the video scene, and the game adjusts the brightness according to the brightness of key elements in the game scene and the overall visual effect; a central processing module, the central processing module is connected to the ambient light sensor module and the user habit data collection module respectively, the central processing module includes a preset algorithm, and is used to generate an adjustment instruction for the brightness of the organic electroluminescent display panel according to the electrical signal from the ambient light sensor and the user habit data of the user habit data collection module, the central processing module converts the electrical signal into a first adjustment instruction for the brightness of the organic electroluminescent display panel, the central processing module combines the first adjustment instruction, the second adjustment instruction and the third adjustment instruction to adjust the brightness of the organic electroluminescent display panel, and sets the brightness value corresponding to the first adjustment instruction to be , the weight is The brightness value corresponding to the second adjustment instruction is , the weight is The brightness value corresponding to the third adjustment instruction is , the weight is , the final brightness adjustment value for: , where the weight coefficient , and The sum is 1, and the brightness of the organic electroluminescent display panel is automatically adjusted by changing the current or voltage applied to the organic electroluminescent display panel.

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