LCM screen burning correction method and device, equipment and storage medium

Abstract

The invention relates to the field of liquid crystal display, and discloses an LCM screen burning correction method, device and equipment and a storage medium, and the method comprises the following steps: collecting display characteristic data of a screen, and establishing an aging effect model to simulate a screen degradation process; predicting a display state of the screen at a future moment by using a manifold learning technology; generating a compensation function according to the current display state and the future prediction state; and dynamically adjusting the screen by applying the compensation function in the burning correction process so as to counteract the influence of the aging effect on the display characteristics. Comprehensive compensation of multi-dimensional display characteristics such as brightness, color and contrast can be realized, local regionalization adjustment is supported, a correction mechanism for real-time feedback and dynamic optimization is provided, the service life of a screen is effectively prolonged, the consistency and long-term stability of display quality are improved, and the method is suitable for the screen correction process of large-scale production.

Description

Technical Field

[0001] The present invention relates to the field of liquid crystal display technology, in particular to an LCM screen burning correction method, device, equipment and storage medium. Background Art

[0002] With the rapid development of liquid crystal display technology, LCM screens have been widely used in various consumer electronic products. However, during long-term use, LCM screens will experience varying degrees of aging effects, mainly manifested in brightness attenuation, color distortion, and contrast reduction. These degradation effects not only affect the visual quality of the screen, but also reduce the user experience, especially in some high-demand display applications. Traditional LCM screen calibration methods often only focus on the current screen status without considering the long-term use of the screen. This method causes the display effect of the screen to gradually decline as the use time increases, and it is impossible to effectively solve the problems caused by aging in the production stage.

[0003] Existing technologies usually rely on static compensation models or manual adjustments to deal with these degradation effects. However, due to the highly nonlinear and multi-dimensional characteristics of the screen aging process, a single compensation method is difficult to meet the needs of different screens. In addition, traditional methods are mainly based on local compensation, ignoring the possible aging differences between different areas of the screen display, resulting in uneven compensation effects and affecting the overall display quality. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an LCM screen burn-in correction method, device, equipment and storage medium, which solves the display degradation problem of the existing LCM screen caused by the aging effect during long-term use.

[0005] To achieve the above purpose, the present invention is implemented by the following technical scheme: an LCM screen burning correction method comprises the following steps: Collect display characteristic data of LCM screen; Based on the display characteristic data, an aging effect model is established to simulate the degradation process of the screen; Predict the display status of the screen at future moments; Generate a compensation function based on the current display state and the future predicted state; The compensation function is applied during the burn-in correction process to compensate for the aging effect of the screen in advance.

[0006] Preferably, collecting the display characteristic data of the LCM screen includes measuring each display area of ​​the screen one by one through a sensor to obtain complete display characteristic data.

[0007] Preferably, the display characteristic data includes values ​​of brightness, color and contrast.

[0008] Preferably, the step of establishing an aging effect model based on the display characteristic data comprises: Selecting an appropriate decay model that introduces an exponential decay form for each display dimension; For each display dimension , according to its initial value and the decay rate constant , the following formula is used to simulate the degradation process of this dimension: ; in, is a time variable, indicating the duration of use; For the A decay rate constant that shows dimension dependence; The degradation process of all display dimensions of the screen is modeled to obtain the Display status; The degradation models of each display dimension are combined to form a multidimensional aging effect model.

[0009] Preferably, the step of predicting the display state of the screen at a future moment includes: Using manifold learning technology, according to the display characteristics data of the current screen Establish nonlinear mapping relationship; Through the mapping relationship, the screen will be calculated at the future time Display status , and its calculation formula is: ; in, is the mapping function obtained by manifold learning, which indicates that the screen changes from the current moment To the future Display status changes; Based on the mapping function, predict the future moment of the screen The state changes in each display dimension and the prediction results of display characteristic data are obtained; Generate a multidimensional vector of the future usage state of the screen .

[0010] Preferably, the step of generating a compensation function according to the current display state and the future predicted state includes: According to the display characteristic data of the current screen and predicted future display characteristics data , design an objective function whose optimization goal is to minimize the difference between the current display state and the ideal state and the future predicted state; Set the objective function as: in, is the compensation function, Represents the compensation function About Time The derivative of is the aging effect model, For the ideal state, Displaying characteristic data for the predicted future, and is the weight coefficient; Solve the objective function by variational method and get the compensation function .

[0011] Preferably, the compensation function A segmented optimization strategy is adopted to adjust the compensation amplitude for different areas and display dimensions of the screen to achieve compensation for local areas.

[0012] Preferably, the step of applying the compensation function during the burning correction process includes: Use the optimized compensation function As correction input, it is dynamically adjusted according to the difference between the current display characteristics and the future predicted state; Combined with the display characteristics of different areas of the screen, the compensation amplitude of the compensation function is adjusted by weight, so that the compensation function can be applied to each display area in real time during the burning process; The output of the compensation function is calculated and applied to gradually adjust the screen display parameters to ensure that the display effect of the screen in future use is close to the ideal state.

[0013] The present invention also provides an LCM screen burning correction device, comprising: A data acquisition module, used to collect display characteristic data of the LCM screen; An aging effect modeling module, used to establish an aging effect model based on the display characteristic data to simulate the degradation process of the screen; Display state prediction module, used to predict the display state of the screen at a future moment; A compensation function generation module, used to generate a compensation function according to a current display state and a future predicted state; The compensation function application module is used to apply the compensation function during the burning correction process to compensate for the aging effect of the screen in advance.

[0014] The present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the above method is implemented.

[0015] The present invention also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the method described above is implemented.

[0016] The present invention provides a method, device, equipment and storage medium for LCM screen burning correction, which has the following beneficial effects: The present invention establishes an aging effect model and predicts the future display state to compensate for the aging effect that may occur on the screen in advance during the burn-in correction stage. The compensation function dynamically adjusts the aging phenomena such as brightness attenuation and color distortion of the screen, thereby reducing the impact of degradation on the display effect during long-term use and effectively extending the service life of the screen.

[0017] The present invention uses manifold learning technology to accurately predict the future degradation trend of the screen, can generate a highly adaptable compensation function, and dynamically adjust the display parameters of the screen so that the screen can still maintain ideal brightness, color uniformity and contrast after long-term use, significantly improving the stability of display quality.

[0018] The present invention can perform comprehensive compensation for multiple display dimensions of the screen (such as brightness, color, contrast, etc.), and supports separate adjustment of local areas. This multi-dimensional and regionalized compensation strategy effectively solves the problems of local screen aging and uneven display, and ensures the consistency of the full-screen display effect.

[0019] During the burning and correction process, the present invention collects screen display status data in real time and dynamically adjusts it in combination with the compensation function to ensure that the compensation strategy is adaptively optimized as the actual aging situation changes. This real-time feedback mechanism improves the accuracy and flexibility of the correction process and ensures the reliability of the compensation effect.

[0020] The present invention predicts and compensates for the aging effect during the burning stage, thus avoiding multiple debugging and rework caused by aging problems in the production process. The automatic generation and application of compensation functions further improves production efficiency, while enhancing the consistency of screen display effects of different batches, providing technical support for large-scale production. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the method flow of the present invention; Figure 2 It is a schematic diagram of the structure of the device of the present invention; Figure 3 It is a schematic diagram of the computer device structure of the present invention.

[0022] Among them, 100, data acquisition module; 200, aging effect modeling module; 300, display state prediction module; 400, compensation function generation module; 500, compensation function application module; 40, computer equipment; 41, processor; 42, memory; 43, storage medium. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] Please refer to the attached Figure 1 The present invention provides an LCM screen burn-in correction method, the main purpose of which is to simulate and compensate for the aging effect of the screen during the production process to ensure that the screen can maintain good display performance during long-term use. By correcting the possible degradation of the screen in future use in advance, the purpose of improving production efficiency and display stability is achieved.

[0025] like Figure 1 As shown, the LCM screen burn-in correction method may include the following steps: S1. Collecting display characteristic data of the LCM screen; S2. Based on the display characteristic data, establish an aging effect model to simulate the degradation process of the screen; S3, predicting the display state of the screen at a future moment; S4, generating a compensation function according to the current display state and the future predicted state; S5. Apply the compensation function during the burning correction process to compensate for the aging effect of the screen in advance.

[0026] Each step of the method of the present invention is described in detail below.

[0027] For step S1, in this embodiment, the display characteristic data of the LCM (liquid crystal display module) screen is obtained through a high-precision acquisition device. The core of this step is to ensure that various parameters related to the screen display are fully and accurately collected through various test methods. These data will provide necessary information for subsequent aging effect modeling, state prediction, and compensation function generation.

[0028] In this step, you first need to select the appropriate acquisition equipment. Usually, high-precision measurement tools such as colorimeters, brightness meters, and spectrometers are used to evaluate the display effect of the screen. These devices can record the brightness, color, contrast and other parameters of the screen in different display modes in real time and accurately. The colorimeter is mainly used to measure the change of screen color, the brightness meter is used to measure the brightness level of the screen, and the spectrometer can accurately capture the brightness distribution under different spectrums. Through the combination of these devices, the display status of the LCM screen can be fully understood from multiple angles.

[0029] In actual operation, the collected data includes but is not limited to brightness, color uniformity, contrast, color saturation, color temperature and other dimensions. For example, brightness measurement can calculate the brightness distribution of the screen by testing the brightness values ​​in different modes such as full white, full black, and grayscale; color testing can obtain the uniformity of screen color performance by testing the color saturation and color deviation under different tones.

[0030] Furthermore, when collecting screen display characteristics, a region-by-region collection method is adopted. That is, for a large-size screen, the screen is divided into multiple small areas using a sensor array, and the display characteristics of each area are measured one by one. This method ensures that comprehensive and accurate data can be obtained in the display state of different areas, even if there are uneven brightness or color changes. This is crucial for subsequent modeling and compensation steps.

[0031] During the data collection process, the raw data obtained needs to be preprocessed to ensure the quality of the data. Usually, preprocessing includes data denoising, data filtering and other operations. For example, the Kalman filter algorithm is used to process the collected signal to eliminate noise and interference and obtain more stable and reliable data. In addition, for different display modes, standardization processing may be required to ensure data consistency so that the collected data display is more in line with the needs of subsequent calculations.

[0032] For example, if a brightness meter is used to measure the brightness of the screen in full white mode, a value is obtained. , while in full black mode, the measured brightness is These two data will provide a basis for the establishment of the subsequent screen brightness decay model. In addition, for color measurement, the color difference formula can be used to evaluate color uniformity and color deviation: ; in, , , and , , The chromaticity values ​​of the two colors are given in this way. In this way, the accuracy and difference of different colors can be quantified.

[0033] When all display data are collected, they will be stored in the data storage module and further used in subsequent analysis and modeling steps.

[0034] For step S2, in this embodiment, based on the display characteristic data collected in step S1, an effective aging effect model is established to simulate the degradation process of the LCM screen. The aging effect model can describe how the display characteristics (such as brightness, color, and contrast) change with the increase of screen usage time, and provide the necessary mathematical basis for subsequent prediction and compensation.

[0035] In this embodiment, an appropriate degradation model is first selected according to the display characteristic data of the screen. Since the aging effect of the screen is mainly manifested in brightness decay, color distortion, and contrast change, etc., these changes usually conform to the exponential decay law, so this embodiment selects an exponential decay model to describe the aging process. Specifically, each display dimension of the screen (such as brightness, color channel, etc.) can be expressed as a function that decays over time.

[0036] For each display dimension , its decay process over time can be modeled by the following formula: ; in, Indicates Display dimensions in time The value of the moment, is the display characteristic value at the initial moment, is the decay rate constant of this dimension, For the duration of use.

[0037] Next, based on the collected display characteristic data, the decay rate constant is calculated through a fitting algorithm. , these constants will be used to describe the degradation process of each display dimension. The fitting process can be implemented by least squares method, maximum likelihood estimation and other methods. Specifically, given a set of display characteristic data of the screen under different usage time , the decay rate constant can be estimated by minimizing the following error function: ; in, Indicates the time point when the data was collected. For in time The display characteristic data at that time. By optimizing the error function, the optimal decay rate constant for each display dimension is obtained. .

[0038] By obtaining the decay rate constants of all display dimensions, a complete aging effect model can be constructed. This model can reflect the degradation of each display dimension of the screen over time and provide a basis for prediction and compensation in subsequent steps.

[0039] In addition, for multiple display dimensions of the screen, the coupling relationship between dimensions needs to be considered in the model. In some cases, brightness attenuation may affect the saturation of the color, or the change in color temperature may be related to the change in contrast. In order to accurately simulate these relationships, a coupled attenuation model can be introduced, that is, the mutual influence between the display dimensions is considered during modeling. Specifically, multiple regression or other statistical methods can be used to further analyze the correlation between dimensions and reflect this mutual influence in the aging effect model.

[0040] For step S3, in this embodiment, based on the display characteristic data collected above and the established aging effect model, the display state of the LCM screen at a future moment is predicted using manifold learning technology. The core of this step is to model the current state of the screen through a manifold learning algorithm, capture its changing trend, and extrapolate this trend to the future moment to predict the possible degradation state of the screen. Manifold learning technology can process high-dimensional, nonlinear data and can provide accurate predictions without explicit linear relationship assumptions.

[0041] First, based on the aging effect model established in step S2, the display characteristics of the screen at the current moment are obtained. Here, the display characteristic vector Contains multiple display dimensions of the screen (such as brightness, color, contrast, etc.). For example, the current display status may be: ; in, Represents the initial value of the screen in various dimensions (such as brightness, color, contrast, etc.).

[0042] Next, through manifold learning technology, based on the current display state It uses the historical data to learn a low-dimensional manifold that describes the changes in screen display. This manifold can help understand the changing patterns of the screen in multiple display dimensions and predict future states based on this pattern. Manifold learning uses mathematical models to find the inherent low-dimensional structure in high-dimensional data, so that it can better capture the nonlinear relationships in the data.

[0043] In manifold learning, assuming that the current display state and time There is a nonlinear mapping relationship between them. In order to predict a certain moment in the future Display status , we construct a mapping function To describe the change of display state over time. The form of this function is: ; in, is the predicted future display state, is the nonlinear mapping function obtained by manifold learning, is the display status at the current moment, A future moment, usually a point in time based on a preset usage time.

[0044] For example, suppose that at the current moment When the screen displays ,in is brightness, is the initial value of the color. The mapping function obtained by manifold learning The current display status and time Mapping display states to future times . Assume that the prediction result is ,So and Represents brightness and color at the future moment The predicted value of .

[0045] The advantage of manifold learning technology is that it can process data with complex nonlinear relationships. Therefore, even if there are interactions between multiple display dimensions of the screen, manifold learning can still make accurate predictions by learning the intrinsic structure of the data. Unlike traditional linear regression or statistical methods, manifold learning can adaptively select appropriate low-dimensional representations, avoid the limitations of linear assumptions, and better capture the multidimensional and nonlinear changes of screen degradation.

[0046] This method can generate future prediction results for each display dimension of the screen, thus providing the necessary reference for the subsequent compensation function generation. These prediction values ​​will be used to calculate the compensation function in the subsequent steps to compensate for the possible degradation of the screen in advance.

[0047] For step S4, in this embodiment, based on the current display state of the screen and the predicted future display state, an effective compensation function is generated. The function of the compensation function is to dynamically adjust the display parameters of the screen (such as brightness, color, contrast, etc.) to offset the impact caused by the aging effect, thereby ensuring that the display effect of the screen after long-term use is as close to the ideal state as possible.

[0048] In this embodiment, the step of generating the compensation function involves the difference between the current display state and the future predicted state. First, assume that the current display state of the screen is obtained through the aforementioned step S3. and predicted future display status In order to maintain the ideal display effect after long-term use, it is necessary to calculate the difference between the two to determine the amount of adjustment required for compensation. The compensation function is generated based on these differences and applied to the display parameters of the screen.

[0049] Specifically, the design goal of the compensation function is to minimize the error between the current display state and the future predicted state, while considering the difference between the ideal display state and the current state. To this end, we designed a comprehensive objective function. This objective function considers both the difference between the current display state and the predicted state, and the difference between the current display state and the ideal display state. The form of the objective function is as follows: ; in: is the compensation function; Represents the compensation function About Time The derivative of is the influence of the aging effect model, which represents the degradation of display characteristics over time; It is the ideal display state, that is, the display effect when no aging occurs; Displays the status of the predicted future, indicating the screen will be Display characteristics when , is a weighting coefficient used to control the relative importance of different parts in the objective function.

[0050] By optimizing the above objective function, the compensation function It can be obtained through the variational method. The solution process of the compensation function needs to take into account possible changes in actual use while ensuring smoothness and minimizing errors. The minimization process is usually implemented through numerical optimization algorithms (such as gradient descent, Newton's method, etc.). The optimized compensation function can provide an adjustment solution that can effectively compensate for the screen aging effect based on the difference between the current display state and the future predicted state.

[0051] For example, assuming the current display state Represents the brightness and color value of the screen, predicting the future state Represents the expected value of brightness and color in the future. The ideal display state is By optimizing the objective function, we can get the compensation function .in and Represents compensation for brightness and color respectively.

[0052] The application of compensation functions is not limited to simple brightness or color compensation, but can comprehensively consider multi-dimensional display characteristics and dynamically adjust according to real-time feedback at different time points. The generation process of compensation functions is essentially to continuously adjust the display settings to adapt to the degradation of the screen during long-term use, ensuring that the final display effect is as stable and ideal as possible.

[0053] In addition, the compensation function can be adaptively adjusted according to the specific screen type, display area, and aging mode. For example, for areas with faster brightness decay, stronger compensation can be applied to that area, while for areas with slower color decay, the compensation strength can be appropriately reduced. Through this adaptive adjustment, the compensation function can achieve more accurate compensation based on the actual degradation of the screen.

[0054] For step S5, in this embodiment, the compensation function generated in step S4 is applied to the burn-in correction process of the LCM screen to compensate for the aging effect that may occur on the screen in advance, ensuring that the display effect of the screen is stable and close to the ideal state after long-term use. The compensation function eliminates the influence caused by the aging effect by adjusting the display parameters of the screen in real time, such as brightness, color and contrast.

[0055] During the burn-in calibration process, you first need to determine the current display state based on the screen display data (such as brightness, color, contrast, etc.) collected at the current moment. On this basis, the aging effect model is used to predict the future Screen display status , and using the generated compensation function, to adjust the display settings of the screen to minimize the effects of degradation.

[0056] Compensation function It is calculated based on the difference between the current display state and the predicted future state. The specific goal is to adjust the screen display parameters so that it can maintain the ideal display effect after long-term use. In this process, the role of the compensation function is to dynamically adjust multiple display characteristics such as brightness and color, and compensate for different degradation effects (such as brightness attenuation, color distortion, etc.) to ensure the stability of the display effect.

[0057] For example, assume that at the current moment, the display state of the screen is ,in is brightness, For color. Predict the future moment through manifold learning technology Display status , and then through the compensation function To adjust the current display status and ensure brightness and colors The ideal state can still be maintained in the future moment.

[0058] In actual applications, the compensation function will work together through hardware and software to apply the compensation results to the screen's control system. The control system dynamically adjusts the screen's brightness, color and other display parameters based on the compensation function calculation results. For example, if the brightness of a certain area decays quickly, the compensation function will adjust the brightness output of that area to keep it consistent with the area that has not decayed.

[0059] The application of compensation function is not just a simple numerical adjustment, but a real-time feedback adjustment based on the actual situation. During the calibration process, the compensation function will be dynamically adjusted according to the real-time status of the screen. The display status of the screen will continue to change, so during the burning calibration process, the compensation function will also adjust the compensation strength and compensation content at any time according to the feedback information.

[0060] To ensure the accuracy of compensation, a real-time feedback mechanism is essential. By continuously monitoring the display status, the system can detect deviations from the predicted state and adjust the compensation function. For example, if the aging of certain areas of the screen is more serious than expected, the compensation function will automatically increase the compensation strength of that area. On the contrary, if the aging of certain areas is less serious, the compensation strength will be appropriately reduced to avoid over-compensation.

[0061] The application steps of the compensation function are based on the real-time data of the screen, which can be obtained in real time through various sensors. These sensors are responsible for collecting parameters such as screen brightness and color during the calibration process and transmitting the data to the control system. The control system adjusts the display parameters according to the compensation function to ensure that the display effect of the screen meets the design requirements after long-term use.

[0062] The ultimate goal of applying the compensation function is to ensure the long-term stability of the display effect of the LCM screen in future use. By compensating for the aging effect in advance, the screen can maintain the consistency and stability of display characteristics such as brightness and color during continuous use. Even after a long period of use, the screen can still maintain good display quality and meet the user's demand for display effects.

[0063] In general, the present invention collects the display characteristic data of the screen and establishes an aging effect model based on these data to simulate the degradation process of the screen. Then, the display state of the screen at a future moment is predicted using manifold learning technology, and a compensation function is generated based on the difference between the current display state and the future predicted state. During the burning correction process, the compensation function is applied to compensate for the aging effect of the screen in advance, thereby ensuring that the screen can maintain a stable display effect during long-term use and avoiding problems such as color distortion and brightness attenuation caused by aging. This method can effectively extend the service life of the LCM screen and improve the stability of the display quality.

[0064] The LCM screen burn-in correction device described below and the LCM screen burn-in correction method described above can be referred to each other.

[0065] Please refer to the attached Figure 2 The present invention also provides an LCM screen burning correction device, comprising: The data acquisition module 100 is used to acquire display characteristic data of the LCM screen; An aging effect modeling module 200 is used to establish an aging effect model based on the display characteristic data to simulate the degradation process of the screen; A display state prediction module 300, used to predict the display state of the screen at a future moment; A compensation function generating module 400, for generating a compensation function according to a current display state and a future predicted state; The compensation function application module 500 is used to apply the compensation function during the burning correction process to compensate for the aging effect of the screen in advance.

[0066] The device of this embodiment can be used to execute the above method embodiment, and its principles and technical effects are similar, which will not be repeated here.

[0067] Please refer to the attached Figure 3 The present invention further provides a computer device 40, comprising: a processor 41 and a memory 42, wherein the memory 42 stores a computer program executable by the processor, and when the computer program is executed by the processor, the above method is executed.

[0068] The present invention further provides a storage medium 43 on which a computer program is stored. When the computer program is run by the processor 41, the above method is executed.

[0069] Among them, the storage medium 43 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, disk or optical disk.

[0070] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. LCM screen burning correction method, characterized in that: The following steps are involved: Collect display characteristic data of LCM screen; Based on the display characteristic data, an aging effect model is established to simulate the degradation process of the screen; Predict the display status of the screen at future moments; Generate a compensation function based on the current display state and the future predicted state; The compensation function is applied during the burn-in correction process to compensate for the aging effect of the screen in advance.

2. The LCM screen burning correction method according to claim 1, characterized in that: The acquisition of the display characteristic data of the LCM screen includes measuring each display area of ​​the screen one by one through a sensor to obtain complete display characteristic data; the display characteristic data includes values ​​of brightness, color and contrast.

3. The LCM screen burning correction method according to claim 1, characterized in that: The step of establishing an aging effect model based on the display characteristic data comprises: Selecting an appropriate decay model that introduces an exponential decay form for each display dimension; For each display dimension , according to its initial value and the decay rate constant , the following formula is used to simulate the degradation process of this dimension: ； in, is a time variable, indicating the duration of use; For the A decay rate constant showing dimension dependence; The degradation process of all display dimensions of the screen is modeled to obtain the Display status; The degradation models of each display dimension are combined to form a multidimensional aging effect model.

4. The LCM screen burning correction method according to claim 1, characterized in that: The step of predicting the display state of the screen at a future moment comprises: Using manifold learning technology, according to the display characteristics data of the current screen Establish nonlinear mapping relationship; Through the mapping relationship, the screen will be calculated at the future time Display status , and its calculation formula is: ； in, is the mapping function obtained by manifold learning, which indicates that the screen changes from the current moment To the future Display status changes; Based on the mapping function, predict the future moment of the screen The state changes in each display dimension and the prediction results of display characteristic data are obtained; Generate a multidimensional vector of the screen's future usage status .

5. The LCM screen burning correction method according to claim 1, characterized in that: The step of generating a compensation function according to the current display state and the future predicted state includes: According to the display characteristic data of the current screen and predicted future display characteristics data , design an objective function whose optimization goal is to minimize the difference between the current display state and the ideal state and the future predicted state; Set the objective function as: ； in, is the compensation function, Represents the compensation function About Time The derivative of is the aging effect model, For the ideal state, Displaying characteristic data for the predicted future, and is the weight coefficient; Solve the objective function by variational method and get the compensation function .

6. The LCM screen burning correction method according to claim 5, characterized in that: The compensation function A segmented optimization strategy is adopted to adjust the compensation amplitude for different areas and display dimensions of the screen to achieve compensation for local areas.

7. The LCM screen burning correction method according to claim 1, characterized in that: The step of applying the compensation function during the burning correction process comprises: Use the optimized compensation function As correction input, it is dynamically adjusted according to the difference between the current display characteristics and the future predicted state; Combined with the display characteristics of different areas of the screen, the compensation amplitude of the compensation function is adjusted by weight, so that the compensation function can be applied to each display area in real time during the burning process; The output of the compensation function is calculated and applied to gradually adjust the screen display parameters to ensure that the display effect of the screen in future use is close to the ideal state.

8. An LCM screen burning correction device, used to execute the LCM screen burning correction method according to any one of claims 1 to 7, characterized in that: include: A data acquisition module, used to collect display characteristic data of the LCM screen; An aging effect modeling module, used to establish an aging effect model based on the display characteristic data to simulate the degradation process of the screen; A display state prediction module, used to predict the display state of the screen at a future moment; A compensation function generation module, used to generate a compensation function according to a current display state and a future predicted state; The compensation function application module is used to apply the compensation function during the burning correction process to compensate for the aging effect of the screen in advance.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the LCM screen burn-in correction method according to any one of claims 1 to 7 is implemented.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the LCM screen burn-in correction method as described in any one of claims 1 to 7 is implemented.

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