LCM Screen Burning Calibration Method, Device, Equipment and Storage Medium

Abstract

The present application relates to the field of liquid crystal displays, and discloses an LCM screen burning and calibration method, device, equipment and storage medium, including the following steps: collecting display characteristic data of the screen, establishing an aging effect model to simulate the screen degradation process; using manifold learning technology to predict the display state of the screen at a future moment; generating a compensation function according to the current display state and the future predicted state; applying the compensation function during the burning and calibration process to dynamically adjust the screen to offset the influence of the aging effect on the display characteristics. The present invention can achieve comprehensive compensation of multi-dimensional display characteristics such as brightness, color and contrast, support local area adjustment, provide a real-time feedback and dynamic optimization calibration mechanism, effectively extend the service life of the screen, improve the consistency and long-term stability of the display quality, and is applicable to the screen calibration process of large-scale production.

Description

Technical Field

[0001] The present invention relates to the technical field of liquid crystal display, and specifically to an LCM screen burning and calibration 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, the LCM screen will show varying degrees of aging effects, mainly manifested as phenomena such as brightness attenuation, color distortion, and contrast decline. 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 state and do not consider the long-term use effect of the screen. This approach leads to a gradual decline in the display effect as the usage time increases, and the problems caused by aging cannot be effectively solved during the production stage.

[0003] Existing technologies usually rely on static compensation models or manual adjustment when dealing with these degradation effects. However, due to the highly non-linear 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 mainly focus on local compensation and ignore the possible aging differences between different display areas of the screen, resulting in uneven compensation effects and affecting the overall display quality. Summary of the Invention

[0004] Aiming at the deficiencies of the existing technologies, the present invention provides an LCM screen burning and calibration method, device, equipment and storage medium, which solves the problem of display degradation caused by aging effects during the long-term use of existing LCM screens.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: The LCM screen burning and calibration method includes the following steps:

[0006] Collect the display characteristic data of the LCM screen;

[0007] Based on the display characteristic data, establish an aging effect model to simulate the degradation process of the screen;

[0008] Predict the display state of the screen at a future moment;

[0009] Generate a compensation function according to the current display state and the future predicted state;

[0010] Apply the compensation function during the burning and calibration process to compensate for the aging effect of the screen in advance.

[0011] 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.

[0012] Preferably, the display characteristic data includes values ​​of brightness, color and contrast.

[0013] Preferably, the step of establishing an aging effect model based on the display characteristic data comprises:

[0014] Selecting an appropriate decay model that introduces an exponential decay form for each display dimension;

[0015] 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:

[0016] ;

[0017] in, is a time variable, indicating the duration of use; For the A decay rate constant that shows dimension dependence;

[0018] The degradation process of all display dimensions of the screen is modeled to obtain the Display status;

[0019] The degradation models of each display dimension are combined to form a multidimensional aging effect model.

[0020] Preferably, the step of predicting the display state of the screen at a future moment includes:

[0021] Using manifold learning technology, according to the display characteristics data of the current screen Establish nonlinear mapping relationship;

[0022] Through the mapping relationship, the screen will be calculated at the future time Display status , and its calculation formula is:

[0023] ;

[0024] 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;

[0025] Based on the mapping function, predict the future moment of the screen The state changes in each display dimension are obtained, and the prediction result of the display characteristic data is obtained;

[0026] Generate a multi-dimensional vector of the future usage state of the screen 。

[0027] Preferably, the step of generating a compensation function according to the current display state and the future predicted state includes:

[0028] According to the display characteristic data of the current screen and the predicted future display characteristic data , design an objective function, and the optimization objective of this objective function is to minimize the differences between the current display state, the ideal state, and the future predicted state;

[0029] Set the objective function as:

[0030]

[0031] where, is the compensation function, represents the derivative of the compensation function with respect to time , is the aging effect model, is the ideal state, is the predicted future display characteristic data, and are weight coefficients;

[0032] Solve the objective function by the variational method to obtain the compensation function 。

[0033] Preferably, the compensation function adopts a segmented optimization strategy, and adjusts the compensation amplitude respectively for different regions and display dimensions of the screen to achieve the compensation for local regions.

[0034] Preferably, the step of applying the compensation function in the programming correction process includes:

[0035] Use the optimized compensation function as the correction input, and dynamically adjust according to the difference between the current display characteristics and the future predicted state;

[0036] Combined with the display characteristics of different regions of the screen, adjust the compensation amplitude of the compensation function by weighting, so that the compensation function can be applied to each display region in real time during the programming process;

[0037] Calculate and apply the output of the compensation function, and gradually adjust the screen display parameters to ensure that the display effect of the screen in future use is close to the ideal state.

[0038] The present invention also provides an LCM screen programming and calibration device, comprising:

[0039] A data acquisition module for acquiring the display characteristic data of the LCM screen;

[0040] An aging effect modeling module for establishing an aging effect model based on the display characteristic data to simulate the degradation process of the screen;

[0041] A display state prediction module for predicting the display state of the screen at a future time;

[0042] A compensation function generation module for generating a compensation function according to the current display state and the future predicted state;

[0043] A compensation function application module for applying the compensation function during the programming and calibration process to compensate in advance for the aging effect of the screen.

[0044] The present invention also provides a computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method as described above is implemented.

[0045] 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 as described above is implemented.

[0046] The present invention provides an LCM screen programming and calibration method, device, equipment, and storage medium. It has the following beneficial effects:

[0047] By establishing an aging effect model and predicting the future display state, the present invention compensates in advance for the possible aging effect of the screen during the programming and calibration stage. The compensation function dynamically adjusts for 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.

[0048] By using manifold learning technology, the present invention accurately predicts the future degradation trend of the screen, can generate a highly adaptable compensation function, and dynamically adjusts the display parameters of the screen, enabling the screen to still maintain ideal brightness, color uniformity, and contrast after long-term use, and significantly improving the stability of the display quality.

[0049] The present invention can perform comprehensive compensation for multiple display dimensions of the screen (such as brightness, color, contrast, etc.) and supports individual adjustment of local areas. This multi-dimensional and regional compensation strategy effectively solves the problems of local aging and uneven display of the screen, and ensures the consistency of the full-screen display effect.

[0050] During the programming and calibration process of the present invention, by collecting real-time screen display status data and combining it with a compensation function for dynamic adjustment, it is ensured that the compensation strategy is adaptively optimized according to the actual aging situation. This real-time feedback mechanism improves the accuracy and flexibility of the calibration process, ensuring the reliability of the compensation effect.

[0051] By predicting and compensating for the aging effect during the programming stage, the present invention avoids multiple debugging and rework caused by subsequent aging problems during the production process. The automatic generation and application of the compensation function further improve production efficiency, while enhancing the consistency of the screen display effects of different batches, providing technical support for large-scale production. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 is a schematic flowchart of the method of the present invention;

[0053] Figure 2 is a schematic structural diagram of the device of the present invention;

[0054] Figure 3 is a schematic structural diagram of the computer device of the present invention.

[0055] Among them, 100, data acquisition module; 200, aging effect modeling module; 300, display status prediction module; 400, compensation function generation module; 500, compensation function application module; 40, computer device; 41, processor; 42, memory; 43, storage medium. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0057] Please refer to the attached Figure 1 , the present invention provides an LCM screen programming and calibration method, and the main purpose 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 pre-calibrating the possible degradation of the screen in future use, the purpose of improving production efficiency and display stability is achieved.

[0058] As Figure 1 shown, the LCM screen programming and calibration method may include the following steps:

[0059] S1. Collect the display characteristic data of the LCM screen;

[0060] S2. Based on the display characteristic data, establish an aging effect model to simulate the degradation process of the screen;

[0061] S3. Predict the display state of the screen at a future time;

[0062] S4. Generate a compensation function according to the current display state and the future predicted state;

[0063] S5. Apply the compensation function during the burn-in calibration process to compensate for the aging effect of the screen in advance.

[0064] The following details each step of the method of the present invention.

[0065] For step S1, in this embodiment, display characteristic data of an LCM (Liquid Crystal Display Module) screen is obtained through a high-precision acquisition device. The core of this step is to ensure that through various test methods, all parameters related to the screen display are comprehensively and accurately collected. These data will provide necessary information for subsequent aging effect modeling, state prediction, and compensation function generation.

[0066] In this step, first, an appropriate acquisition device needs to be selected. Usually, high-precision measurement tools such as colorimeters, luminance meters, and spectrometers are used to evaluate the display effect of the screen. These devices can record the brightness, color, and contrast of the screen in real time and accurately. The colorimeter is mainly used to measure the color change of the screen, the luminance meter is used to measure the brightness level of the screen, and the spectrometer can accurately capture the brightness distribution under different spectra. Through the combination of these devices, the display state of the LCM screen can be comprehensively understood from multiple angles.

[0067] In actual operation, the collected data includes but is not limited to multiple dimensions such as brightness, color uniformity, contrast, color saturation, and color temperature. For example, brightness measurement tests the brightness values of the screen in different modes such as all-white, all-black, and gray-scale, and the brightness distribution of the screen can be calculated; color testing obtains the uniformity of the screen color performance by testing the color saturation and color deviation under different hues.

[0068] Furthermore, when collecting the display characteristics of the screen, a per-region acquisition method is adopted. That is, for a large-sized screen, the screen is divided into multiple small regions using a sensor array, and the display characteristics of each region are measured one by one. This method ensures that even if there are uneven brightness or color changes in the display states of different regions, comprehensive and accurate data can still be obtained. This is crucial for subsequent modeling and compensation steps.

[0069] During the data acquisition process, the obtained raw data needs to be preprocessed to ensure data quality. Usually, preprocessing includes operations such as data denoising and data filtering. For example, the Kalman filtering algorithm is used to process the collected signals 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, making the collected data display more in line with the requirements of subsequent calculations.

[0070] Exemplarily, if a luminance meter is used to measure the luminance in the full-white mode of the screen, a value is obtained , and in the full-black mode, the measured luminance value is . These two data will provide the basis for the establishment of the subsequent screen luminance decay model. In addition, for color measurement, the color difference formula can be used to evaluate color uniformity and color deviation:

[0071] ;

[0072] where , , and , , are the chromaticity values of the two colors respectively. In this way, the accuracy and difference of different colors can be quantified.

[0073] When all display data acquisition is completed, these data will be stored in the data storage module and further used for subsequent analysis and modeling steps.

[0074] 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. This aging effect model can describe how display characteristics (such as luminance, color, and contrast, etc.) change with the increase of the screen usage duration and provide the necessary mathematical basis for subsequent prediction and compensation.

[0075] In this embodiment, first, an appropriate degradation model is selected according to the display characteristic data of the screen. Since the aging effect of the screen is mainly manifested as luminance attenuation, color distortion, and contrast change, etc., and these changes usually conform to the exponential decay law, an exponential decay model is selected in this embodiment to describe the aging process. Specifically, each display dimension of the screen (such as luminance, color channel, etc.) can be expressed as a function that decays with time.

[0076] For each display dimension , its decay process with time can be modeled by the following formula:

[0077] ;

[0078] Among them, represents the value of the th display dimension at time moment, is the display characteristic value at the initial moment, is the decay rate constant of this dimension, is the usage duration.

[0079] Next, based on the collected display characteristic data, calculate the decay rate constant through a fitting algorithm. These constants will be used to describe the degradation process of each display dimension. The fitting process can be achieved by methods such as the least squares method and maximum likelihood estimation. Specifically, given a set of display characteristic data of the screen at different usage durations, the decay rate constant can be estimated by minimizing the following error function:

[0080] ;

[0081] Among them, represents the time point when the data is collected, is the display characteristic data at time . By optimizing the error function, the best decay rate constant for each display dimension is obtained.

[0082] Having obtained 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.

[0083] In addition, for multiple display dimensions of the screen, the coupling relationship between dimensions also needs to be considered in the model. In some cases, brightness decay may affect color saturation, or changes in color temperature may be related to changes in contrast. To accurately simulate these relationships, a coupled decay model can be introduced, that is, the mutual influence between each display dimension 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.

[0084] For step S3, in this embodiment, based on the previously collected display characteristic data and the established aging effect model, the manifold learning technique is used to predict the display state of the LCM screen at a future time. The core of this step is to model the current state of the screen through the manifold learning algorithm, capture its change trend, and extrapolate this trend to the future time to predict the possible degradation state of the screen. The manifold learning technique can handle high-dimensional and non-linear data and can provide accurate predictions without explicit linear relationship assumptions.

[0085] First, based on the aging effect model established in step S2, the display characteristics of the screen at the current time are obtained. The display characteristic vector here includes multiple display dimensions of the screen (such as brightness, color, contrast, etc.). For example, the current display state may be:

[0086] ;

[0087] wherein, represents the initial values of the screen in each dimension (such as brightness, color, contrast, etc.).

[0088] Next, through the manifold learning technique, based on the current display state and its historical data, a low-dimensional manifold describing the display change of the screen is learned. This manifold can help understand the change law of the screen in multiple display dimensions and predict the future state through this law. Manifold learning finds the intrinsic low-dimensional structure in high-dimensional data through a mathematical model, so as to better capture the non-linear relationship in the data.

[0089] In manifold learning, it is assumed that there is a non-linear mapping relationship between the current display state and time . To predict the display state at a future time , we construct a mapping function to describe the change of the display state over time. The form of this function is:

[0090] ;

[0091] wherein, is the predicted future display state, is the non-linear mapping function obtained by manifold learning, is the display state at the current time, is the future time, usually a time point based on the preset usage time.

[0092] Exemplarily, assume that at the current time , the display state of the screen is , where is the brightness, and is the initial value of color. The mapping function obtained through manifold learning can map the current display state and time to the display state at a future time . Assuming the obtained prediction result is , then and represent the predicted values of brightness and color at a future time

[0093] The advantage of manifold learning technology lies in its ability to handle data with complex non-linear relationships. Therefore, even if there are interactions between multiple display dimensions of the screen, manifold learning can still make accurate predictions by learning the internal structure of the data. Different from traditional linear regression or statistical methods, manifold learning can adaptively select an appropriate low-dimensional representation, avoiding the limitations of linear assumptions and being able to better capture the multi-dimensional and non-linear changes in screen degradation.

[0094] Through this method, future prediction results can be generated for each display dimension of the screen, thereby providing necessary references for the generation of subsequent compensation functions. These predicted values will be used in subsequent steps to calculate the compensation function, so as to compensate in advance for possible degradation phenomena of the screen.

[0095] 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 role of this 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, so as to ensure that the display effect of the screen after long-term use is as close as possible to the ideal state.

[0096] 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 and the predicted future display state are obtained through the aforementioned step S3. In order to enable the screen to still maintain an ideal display effect after long-term use, it is necessary to calculate the difference between the two to determine the adjustment amount required for compensation. The compensation function will be generated based on these differences and applied to the display parameters of the screen.

[0097] 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 takes into account 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:

[0098] ;

[0099] where:

[0100] is the compensation function;

[0101] represents the compensation function with respect to time ;

[0102] is the influence of the aging effect model, representing the degradation of the display characteristics over time;

[0103] is the ideal display state, i.e., the display effect when aging has not occurred;

[0104] is the predicted future display state, representing the display characteristics of the screen at the future time ;

[0105] , is the weighting coefficient, used to control the relative importance of different parts in the objective function.

[0106] By optimizing the above objective function, the compensation function can be obtained through the variational method. The solution process of the compensation function needs to consider the possible changes in actual use while ensuring smoothness and minimizing the error. The minimization process is usually achieved through numerical optimization algorithms (such as gradient descent, Newton's method, etc.). The optimized compensation function can provide an adjustment scheme that can effectively compensate for the screen aging effect according to the difference between the current display state and the future predicted state.

[0107] Exemplarily, assume that the current display state represents the brightness and color values of the screen, and the predicted future state represents the expected values of brightness and color at the future time, and the ideal display state is . By optimizing the objective function, we can obtain the compensation function . Where and represent the compensation for brightness and color respectively.

[0108] The application of the compensation function is not limited to simple brightness or color compensation. Instead, it can comprehensively consider multi-dimensional display characteristics and make dynamic adjustments according to real-time feedback at different time points. The process of generating the compensation function is essentially a continuous adjustment of display settings to adapt to the degradation that occurs during the long-term use of the screen, ensuring that the final display effect is as stable and ideal as possible.

[0109] In addition, the compensation function can also be adaptively adjusted according to the specific screen type, display area, and aging mode. For example, for areas with faster brightness attenuation, stronger compensation can be applied to this area, while for areas with slower color degradation, the compensation intensity can be appropriately reduced. Through this adaptive adjustment, the compensation function can achieve more accurate compensation according to the actual degradation of the screen.

[0110] For step S5, in this embodiment, the compensation function generated in step S4 is applied to the programming and calibration process of the LCM screen to pre-compensate for the possible aging effects of the screen, 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 aging effects by adjusting the display parameters of the screen in real time, such as brightness, color, and contrast.

[0111] During the programming and calibration process, it is first necessary 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, through the prediction of the aging effect model, the screen display state at a future time is calculated, and the generated compensation function is used to adjust the display settings of the screen to minimize the degradation effect.

[0112] The compensation function is calculated based on the difference between the current display state and the future predicted state. The specific goal is to adjust the screen display parameters so that it can still maintain an 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.

[0113] Exemplarily, assume that at the current moment, the display state of the screen is , where is the brightness, is the color. Through manifold learning technology, the display state at a future time is predicted, and then through the compensation function To adjust the current display state and ensure the brightness and color can still maintain an ideal state at future moments.

[0114] In practical applications, the compensation function works through the cooperation of hardware and software, and applies the compensation result to the control system of the screen. According to the calculation result of the compensation function, the control system dynamically adjusts display parameters such as the brightness and color of the screen. For example, if the brightness of a certain area decays rapidly, the compensation function will adjust the brightness output of that area to make it consistent with the non-decayed areas.

[0115] The application of the compensation function is not just a simple numerical adjustment, but real-time feedback adjustment according to the actual situation. During the calibration process, the compensation function will be dynamically adjusted according to the real-time state of the screen. The display state of the screen will continue to change, so during the burn-in calibration process, the compensation function will also adjust the compensation intensity and content according to the feedback information at any time.

[0116] To ensure the accuracy of compensation, a real-time feedback mechanism is essential. By continuously monitoring the display state, the system can detect the deviation from the predicted state and adjust the compensation function. For example, if the aging degree of some areas of the screen is more serious than expected, the compensation function will automatically increase the compensation intensity for that area. On the contrary, if the aging of some areas is less, the compensation intensity will be appropriately reduced to avoid overcompensation.

[0117] The application steps of the compensation function are based on the real-time data of the screen, and these data can be obtained in real time through various sensors. These sensors are responsible for collecting parameters such as the brightness and color of the screen 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.

[0118] The ultimate goal of the application of 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, it is possible to maintain the consistency and stability of display characteristics such as brightness and color during the continuous use of the screen. Even after a long period of use, the screen can still maintain good display quality and meet the user's requirements for the display effect.

[0119] Generally speaking, the present invention collects the display characteristic data of the screen, establishes an aging effect model based on these data, and simulates the degradation process of the screen. Then, the manifold learning technology is used to predict the display state of the screen at a future moment, and a compensation function is generated according to the difference between the current display state and the future predicted state. During the programming correction process, this compensation function is applied to compensate for the aging effect of the screen in advance, so as to ensure that the screen can maintain a stable display effect during long-term use and avoid 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.

[0120] The LCM screen programming correction device described below can be referred to in correspondence with the LCM screen programming correction method described above.

[0121] Please refer to the attached Figure 2 , the present invention also provides an LCM screen programming correction device, including:

[0122] A data acquisition module 100, configured to collect the display characteristic data of the LCM screen;

[0123] An aging effect modeling module 200, configured to establish an aging effect model based on the display characteristic data and simulate the degradation process of the screen;

[0124] A display state prediction module 300, configured to predict the display state of the screen at a future moment;

[0125] A compensation function generation module 400, configured to generate a compensation function according to the current display state and the future predicted state;

[0126] A compensation function application module 500, configured to apply the compensation function during the programming correction process to compensate for the aging effect of the screen in advance.

[0127] The device of this embodiment can be used to execute the above method embodiment, and its principle and technical effect are similar, so they will not be elaborated here.

[0128] Please refer to the attached Figure 3 , the present invention also provides a computer device 40, including: a processor 41 and a memory 42. The memory 42 stores a computer program executable by the processor. When the computer program is executed by the processor, it executes the above method.

[0129] The present invention also provides a storage medium 43. A computer program is stored on the storage medium 43. When the computer program is run by the processor 41, it executes the above method.

[0130] 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 (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disc.

[0131] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. 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; Applying the compensation function during the burn-in correction process to compensate for the aging effect of the screen in advance; 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 x i (t), according to its initial value x i (0) and the decay rate constant α i , the following formula is used to simulate the degradation process of this dimension: x i (t)=x i (0)·exp(-α i t); Among them, t is the time variable, indicating the usage time; α i is the decay rate constant associated with the i-th display dimension; Model the degradation process of all display dimensions of the screen and obtain the display state of each dimension at any time t; The degradation models of each display dimension are combined to form a multidimensional aging effect model; The step of predicting the display state of the screen at a future moment comprises: Using manifold learning technology, a nonlinear mapping relationship is established according to the display characteristic data x(0) of the current screen; Through the mapping relationship, the display state x(t1) of the screen at the future time t1 is calculated, and the calculation formula is: x(t1)=f(x(0),t1); Among them, f(·) is the mapping function obtained by manifold learning, which represents the change of the display state of the screen from the current time t0 to the future time t1; Based on the mapping function, predict the state change of the screen in each display dimension at the future time t1, and obtain the multidimensional vector x(t1) of the display state of the screen at the future time t1; 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 x(0) of the current screen and the predicted future display characteristic data x(t1), the design objective function is: Wherein, f(t) is the compensation function to be solved, f'(t) represents the derivative of the compensation function f(t) with respect to time t, g(t) is the degradation rate or influence of the display characteristics over time obtained according to the aging effect model, y0(t) is the ideal screen display state, x(t1) is the predicted future display characteristic data, λ1 and λ2 are weight coefficients; The objective function is solved by the variational method to obtain the compensation function f(t).

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 compensation function f(t) adopts a segmented optimization strategy, and adjusts the compensation amplitude for different areas and display dimensions of the screen to achieve compensation for the local area.

4. 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 f(t) as the correction input and make dynamic adjustments based on 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.

5. An LCM screen burning correction device, used to execute the LCM screen burning correction method according to any one of claims 1 to 4, 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; 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.

6. 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 4 is implemented.

7. 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 4 is implemented.

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