OLED screen service life compensation method and system based on pre-stored aging Gamma curve

Abstract

The invention discloses an OLED screen service life compensation method and system based on a pre-stored aging Gamma curve. The method comprises the following steps: measuring the brightness of each continuously aged OLED display module under different gray scales at different aging time nodes; respectively fitting different aging Gamma curves by taking the initial brightness of each display module as an independent variable and taking the brightness of each gray scale of each display module under each aging time node as a dependent variable; inputting an initial Gamma lookup table, and calling a corresponding aging Gamma curve to calculate a complete Gamma lookup table of the display module at different aging time nodes in the future; and carrying out service life compensation on the new OLED display module based on the data. According to the OLED aging compensation method, a perspective compensation strategy of data prediction and on-demand calling is adopted, OLED aging compensation is achieved, and the visual consistency and reliability of OLED display products in the whole life cycle are remarkably improved.

Description

Technical Field

[0001] This invention relates to display panel aging compensation technology, and more particularly to an OLED screen lifespan compensation method and system based on a pre-stored aging Gamma curve. Background Technology

[0002] Because of its self-emissive nature, OLED screens experience aging of their organic materials over time, leading to reduced luminous efficiency. This manifests as a decrease in overall screen brightness, color shift, and "image retention" or "burn-in" due to inconsistent aging rates among different pixels.

[0003] Current mainstream compensation methods mostly focus on real-time detection and compensation of the OLED's voltage across (Vth) or drive current. While these methods are effective, they have some inherent drawbacks: 1. High system complexity: It requires the integration of sophisticated online detection circuits, which increases hardware costs and design difficulty; 2. Delayed compensation: It is a passive compensation method of "compensation after a problem occurs", which is difficult to cope with extreme situations such as rapid aging or severe local aging. 3. Dependence on initial performance: The compensation accuracy is limited by the accuracy of the detection circuit and the initial uniformity of the transistor.

[0004] Currently, no compensation schemes that can proactively address aging, offer high compensation accuracy, and are easy to implement in mass production have been reported. Summary of the Invention

[0005] Objective of this invention: The objective of this invention is to provide an OLED screen lifetime compensation method based on a pre-stored aging Gamma curve, addressing the problems of complexity, high cost, and lag in existing real-time voltage compensation methods. Another objective of this invention is to propose an OLED screen lifetime compensation system based on a pre-stored aging Gamma curve, solving the problem of how to execute an OLED screen lifetime compensation method based on a pre-stored aging Gamma curve.

[0006] Technical solution: The OLED screen lifetime compensation method based on a pre-stored aging Gamma curve, as described in this invention, includes the following steps: Continuous aging of OLED display modules: The brightness of each OLED display module at different gray levels was measured at different aging time points. Using the initial brightness of each OLED display module as the independent variable and the brightness of each gray level of each OLED display module at each aging time node as the dependent variable, the aging Gamma curve of each gray level at each time node is fitted respectively. Input the initial Gamma lookup table of the new OLED display module, and call the corresponding aging Gamma curve to calculate the complete Gamma lookup table of the OLED display module at different aging time points in the future. Lifetime compensation for new OLED display modules is performed based on a complete Gamma lookup table. Preferably, the continuously aging OLED display module includes: Different OLED display modules were placed in a constant temperature environment not exceeding 60°C, and a display image was applied. A constant current was applied to drive the OLED display modules to accelerate their aging process. By mapping the accelerated aging time points to the aging time points under normal use at room temperature, a time conversion relationship is obtained. This time conversion relationship is used as a benchmark for different aging time points.

[0007] Furthermore, the method for extracting the different OLED display modules includes: The sampled OLED display modules cover the normal process fluctuation range; initial optical and electrical parameters of all sampled OLED display modules are measured to ensure that their initial performance is within specifications.

[0008] Furthermore, the correspondence between the accelerated aging time point and the aging time point under normal use at room temperature is determined by the Arrhenius model. The displayed image is either a white screen or a grayscale mixed screen.

[0009] Preferably, the different aging time nodes are multiple time nodes with the same time interval during the aging process.

[0010] Preferably, the initial brightness of the OLED display module is the brightness of the OLED display module after 0 hours of aging.

[0011] Preferably, after fitting the aging Gamma curve of each gray level at each time node, the following steps are also included: Based on the fitted aging Gamma curve, the initial brightness of the OLED display module is input to obtain the brightness prediction value at different aging time points. The brightness prediction value is compared with the actual brightness measurement value at the corresponding time point. The prediction ability of the aging Gamma curve is judged to be qualified based on the standard that the brightness difference is lower than the threshold that can be perceived by the human eye.

[0012] Preferably, the step of calling the corresponding aging Gamma curve includes: Construct a three-dimensional matrix by combining the coefficients in the aging Gamma curve with the corresponding aging time nodes and gray levels; Based on the initial Gamma lookup table, retrieve the corresponding aging Gamma curve from the three-dimensional matrix.

[0013] Preferably, the lifetime compensation for the new OLED display module based on the complete Gamma lookup table includes: Once the OLED display module is turned on, record the cumulative usage time. In the complete Gamma lookup table, query the Gamma data table for two adjacent aging time nodes based on the cumulative usage time point; Based on the Gamma data table obtained from the query, for each gray level, linear interpolation is performed according to the position of the cumulative usage time point between two aging time points to obtain a new Gamma lookup table. Once the new Gamma lookup table takes effect in the OLED display module, lifetime compensation will be performed on the OLED display module.

[0014] Preferably, the above method further includes the following steps: Set a maximum compensation time limit. When the maximum compensation time limit is exceeded, the Gamma lookup table for the maximum compensation time limit will be called and the cumulative usage time will be stopped. The design incorporates a verification mechanism to ensure that the burned Gamma data is complete and error-free. If corrupted Gamma data is detected, the system will automatically revert to the initial Gamma lookup table.

[0015] Another aspect of the present invention discloses an OLED screen lifetime compensation system based on a pre-stored aging Gamma curve for performing the above-described method, comprising: Gamma data storage is used to pre-store a complete Gamma lookup table for OLED display modules at different aging time points in the future; The timing and control module is used to continuously record the cumulative usage time of the OLED display module. When lifespan compensation is required, the current cumulative usage time is sent as an instruction to the interpolation calculation module. The interpolation calculation module is used to query the Gamma data storage for two pre-stored Gamma lookup tables adjacent to the cumulative usage time point after receiving the cumulative usage time instruction, and calculate a new Gamma lookup table that precisely matches the current cumulative usage time point through the interpolation algorithm. The data execution and display module is used to output the new Gamma lookup table to the pixel array of the OLED display panel and drive the OLED display module to display the precisely compensated image.

[0016] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: (1) High precision and forward-looking: Based on a large amount of actual sample data, the compensation curve truly reflects the aging law of OLED, and the compensation behavior is synchronized with the aging process, resulting in more accurate results.

[0017] (2) Low cost and easy mass production: The complex real-time voltage / current detection circuit is eliminated, reducing hardware costs. During mass production, only the initial Gamma data needs to be burned, simplifying the production process and improving efficiency.

[0018] (3) Excellent smooth transition experience: Through multi-node pre-storage and interpolation algorithm, brightness or color level jumps are avoided in the compensation process, ensuring the consistency of visual experience for users in long-term use.

[0019] (4) Strong versatility: This solution does not depend on a specific pixel circuit design and can be widely used in various OLED display panels, with strong universality. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating the OLED screen lifespan compensation method of the present invention. Figure 2 This is a schematic diagram of the collaborative process of each module in the OLED screen lifespan compensation system of the present invention. Detailed Implementation

[0021] The technical solution of the present invention will be further described below with reference to the accompanying drawings.

[0022] The technical concept of this invention includes: This invention employs a forward-looking compensation strategy of "data prediction and on-demand retrieval." By pre-storing Gamma data at multiple time points and dynamically retrieving it based on the actual screen usage time, it compensates for OLED aging. This method eliminates complex real-time detection circuits, reducing hardware costs and power consumption. Simultaneously, through multi-node pre-storage and interpolation technology, it achieves high-precision, seamless lifetime compensation, significantly improving the visual consistency and reliability of OLED display products throughout their entire lifecycle.

[0023] A method for compensating the lifetime of an OLED screen based on a pre-stored aging Gamma curve includes the following steps: Continuous aging of OLED display modules: The brightness of each OLED display module at different gray levels was measured at different aging time points. Using the initial brightness of each OLED display module as the independent variable and the brightness of each gray level of each OLED display module at each aging time node as the dependent variable, the aging Gamma curve of each gray level at each time node is fitted respectively. Input the initial Gamma lookup table of the new OLED display module, and call the corresponding aging Gamma curve to calculate the complete Gamma lookup table of the OLED display module at different aging time points in the future. Lifetime compensation for new OLED display modules is performed based on a complete Gamma lookup table.

[0024] Optionally, the continuously aging OLED display module includes: Different OLED display modules were placed in a constant temperature environment not exceeding 60°C, and a display image was applied. A constant current was applied to drive the OLED display modules to accelerate their aging process. By mapping the accelerated aging time points to the aging time points under normal use at room temperature, a time conversion relationship is obtained. This time conversion relationship is used as a benchmark for different aging time points.

[0025] This aging method can accelerate the aging process of organic materials in OLED display modules, shorten the data collection time for aging, improve the efficiency of constructing aging Gamma curves, and enable the rapid construction of a large set of aging Gamma curves that can be used for aging compensation under actual room temperature conditions of screen use.

[0026] Optionally, the method for extracting the different OLED display modules includes: The sampled OLED display modules cover the normal process fluctuation range; initial optical and electrical parameters of all sampled OLED display modules are measured to ensure that their initial performance is within specifications.

[0027] This test sample extraction method ensures the universality of the model subsequently built.

[0028] Optionally, the correspondence between the accelerated aging time point and the aging time point under normal use at room temperature is determined by the Arrhenius model. The displayed image is either a white screen or a grayscale mixed screen.

[0029] By correlating accelerated aging time with normal temperature usage time, the accelerated aging data of the screen under experimental conditions can be accurately equated to the aging data under normal temperature usage conditions, thus accurately simulating the aging process of the screen under normal temperature usage conditions.

[0030] Optionally, the different aging time nodes are multiple time nodes with the same time interval during the aging process.

[0031] Setting appropriate intervals and the number of nodes for different aging time points can further improve the efficiency of constructing aging Gamma curves, reduce unnecessary aging test processes, and efficiently obtain mathematical models that predict future aging behavior based on the initial state of the screen.

[0032] Optionally, the initial brightness of the OLED display module is the brightness of the OLED display module after 0 hours of aging.

[0033] The initial brightness of the screen is the brightness before it begins to age, and this initial state can be used as input for subsequent models and predictions.

[0034] Optionally, after fitting the aging Gamma curve for each grayscale at each time point, the following steps are also included: Based on the fitted aging Gamma curve, the initial brightness of the OLED display module is input to obtain the brightness prediction value at different aging time points. The brightness prediction value is compared with the actual brightness measurement value at the corresponding time point. The prediction ability of the aging Gamma curve is judged to be qualified based on the standard that the brightness difference is lower than the threshold that can be perceived by the human eye.

[0035] This step can be used to verify the predictive power of the mathematical model composed of the aging Gamma curves, ensuring that the model can explain larger data variations and achieve better fitting results.

[0036] Optionally, the corresponding aging Gamma curve for the call includes: Construct a three-dimensional matrix by combining the coefficients in the aging Gamma curve with the corresponding aging time nodes and gray levels; Based on the initial Gamma lookup table, retrieve the corresponding aging Gamma curve from the three-dimensional matrix.

[0037] Based on this three-dimensional matrix, the aging Gamma curve corresponding to the initial Gamma lookup table can be conveniently searched and retrieved from numerous aging Gamma curves.

[0038] Optionally, the lifetime compensation for the new OLED display module based on the complete Gamma lookup table includes: Once the OLED display module is turned on, record the cumulative usage time. In the complete Gamma lookup table, query the Gamma data table for two adjacent aging time nodes based on the cumulative usage time point; Based on the Gamma data table obtained from the query, for each gray level, linear interpolation is performed according to the position of the cumulative usage time point between two aging time points to obtain a new Gamma lookup table. Once the new Gamma lookup table takes effect in the OLED display module, lifetime compensation will be performed on the OLED display module.

[0039] An interpolation algorithm calculates a Gamma value that precisely matches the current time point and outputs it to the pixel array of the OLED display panel, ultimately driving the screen to display the precisely compensated image. Through multi-node pre-storage and the interpolation algorithm, brightness or color gradation jumps during the compensation process are avoided, ensuring a consistent visual experience for users over long-term use.

[0040] Optionally, the above method further includes the following steps: Set a maximum compensation time limit. When the maximum compensation time limit is exceeded, the Gamma lookup table for the maximum compensation time limit will be called and the cumulative usage time will be stopped. The design incorporates a verification mechanism to ensure that the burned Gamma data is complete and error-free. If corrupted Gamma data is detected, the system will automatically revert to the initial Gamma lookup table.

[0041] Setting a maximum compensation time limit can effectively prevent overflow, and designing a verification mechanism can avoid display abnormalities caused by Gamma data corruption, ensuring that basic display functions are normal.

[0042] Based on the above method, a further disclosed OLED screen lifetime compensation system based on a pre-stored aging Gamma curve is provided, comprising: Gamma data storage is used to pre-store a complete Gamma lookup table for OLED display modules at different aging time points in the future; The timing and control module is used to continuously record the cumulative usage time of the OLED display module. When lifespan compensation is required, the current cumulative usage time is sent as an instruction to the interpolation calculation module. The interpolation calculation module is used to query the Gamma data storage for two pre-stored Gamma lookup tables adjacent to the cumulative usage time point after receiving the cumulative usage time instruction, and calculate a new Gamma lookup table that precisely matches the current cumulative usage time point through the interpolation algorithm. The data execution and display module is used to output the new Gamma lookup table to the pixel array of the OLED display panel and drive the OLED display module to display the precisely compensated image. Specifically, such as Figure 1 As shown, an OLED screen lifetime compensation method based on a pre-stored aging Gamma curve is as follows: 1. Data Modeling Stage (1.1) Sample screening and grouping: 100 OLED display modules were randomly selected from the production line as test samples. To ensure the universality of the model, the samples should cover the normal process fluctuation range; initial optical parameters (such as brightness and chromaticity) and electrical parameters of all samples were measured to ensure that their initial performance was within the specification range.

[0043] (1.2) Accelerated aging test data: Aging conditions: The sample was placed in a constant temperature environment of 60°C and a constant current was applied with a 100% white screen (or a specific proportion of grayscale mixed screen) to accelerate the aging process of the organic material.

[0044] Stress conversion: The accelerated aging time was correlated with the normal temperature usage time using the Arrhenius model. For example, 10 hours of accelerated aging under the experimental conditions may be equivalent to 100 hours of normal use at room temperature. This conversion relationship will serve as the benchmark for subsequent time points.

[0045] (1.3) Multi-node Gamma data acquisition: Measurement nodes: Aging tests are paused at 11 key aging time nodes, namely 0 hours (initial state), 10 hours, 20 hours, 30 hours, ... 80 hours, 90 hours, and 100 hours.

[0046] Measurement Method: Using a high-precision spectroradiometer or color analyzer, the brightness and color coordinates (x, y) of each sample at different gray levels (e.g., from 0 to 255 levels, every 5 or 10 levels) are measured in a darkroom environment. Based on the measurement data, a unique digital gamma curve is fitted for each sample at each time point. This curve defines the mapping relationship from the input gray level to the target brightness and is typically stored in the form of a lookup table.

[0047] (1.4) Big Data Analysis and Model Building: Data normalization: The Gamma data of all samples at each aging node are normalized based on the data at 0 hours, and the relative change (ΔGamma) is calculated.

[0048] Model Fitting: The core of this invention lies in establishing a mathematical model capable of predicting the future aging behavior of a screen based on its initial state. This model is constructed through the following steps, illustrated with specific data examples: Step (a), Data Acquisition and Preparation: Select 100 OLED screen samples from the same batch and conduct accelerated aging tests under standard conditions. At aging time points of 0 hours and 10 hours, accurately measure the brightness value (in nits) of each sample at grayscale 128. This data is illustrated in the following example: Table 1. Brightness values ​​of different test samples at grayscale 128, both initially and after 10 hours of accelerated aging.

[0049] Step (b), Model selection and fitting: Using the initial brightness (Gamma_0h) as the independent variable (X) and the brightness after 10 hours of aging (Gamma_10h) as the dependent variable (Y), the above 100 sets of data were plotted on a scatter plot. Observation revealed that the data points exhibited a clear non-linear decay trend.

[0050] Using a quadratic polynomial model Y = a * X 2The fit was performed using + b * X + c. Least squares regression analysis was then used to obtain the best fit coefficients for grayscale 128 at the 10-hour aging node. Coefficient a = -0.0012 Coefficient b = 1.352 Coefficient c = -68.1 Therefore, the prediction model for grayscale 128 at the 10-hour node is as follows: The predicted (Gamma_10h) = -0.0012 * (Gamma_0h) 2 + 1.352 * (Gamma_0h) - 68.1 Step (c), Model Validation and Accuracy: To validate the model's predictive ability, the predicted values ​​for all samples were calculated using the formula and compared with the actual measured values. The goodness of fit (R²) reached 0.986, indicating that the model can explain 98.6% of the data variation, demonstrating excellent fit. Residual analysis showed that the mean absolute error (MAE) between the predicted and measured values ​​was less than 0.4 nits, far below the threshold of brightness difference perceptible to the human eye (generally considered to be about 1-2 nits).

[0051] Table 2 Validation results of model predictive ability

[0052] Step (d), Model Expansion and Coefficient Matrix Generation: The above process only applies to one grayscale (128) and one aging time point (10h). To fully describe the aging behavior of the screen, the above modeling process is repeated for all 256 grayscales and all 11 time points (0h, 10h, 20h...80h, 90h, 100h). Finally, a large, three-dimensional coefficient matrix is ​​obtained. The table below shows a partial example of this matrix: Table 3. Three-dimensional coefficient matrix obtained from model expansion

[0053] Step (e), Mass Production Application: This complete coefficient matrix is ​​embedded in the firmware of the mass production programming tool or driver IC. During mass production, for any new screen, the system only needs to measure and program its initial Gamma lookup table for 0 hours. Subsequently, the system automatically reads this initial value and calls the corresponding model in the coefficient matrix to calculate the complete Gamma lookup table for the screen in the next 10h, 20h, ..., 90h, 100h in real time, and pre-stores it in the driver IC.

[0054] 2. Mass production and programming stage (2.1) Initial Gamma Programming: After the screen module is assembled, the optical characteristics of the module in its initial state are measured at a standard optical calibration station, and its unique initial Gamma lookup table is generated. This table is then programmed into the designated memory area (address 0x0000-0x00FF) of the driver IC.

[0055] (2.2) Automatic Fitting and Pre-storage: The driver IC (or host computer programming software) has already stored the coefficient matrix obtained in the previous steps. The system reads the newly programmed initial Gamma data and uses it as input, substituting it into all the pre-stored fitting models to automatically calculate the predicted Gamma lookup table for the screen at 10h, 20h, ... 90h, 100h. These 10 sets of predicted Gamma tables are then programmed sequentially into the subsequent storage address of the driver IC (e.g., address 0x0100-0x01FF corresponds to 10h, and so on). At this point, the driver IC has completely stored 11 sets of Gamma data.

[0056] 3. Terminal Application Stage (3.1) Use a time recording mechanism: Implement a high-precision screen-on timer at the device operating system level (such as Android's HAL layer or driver layer). This timer starts accumulating when the screen is turned on and pauses when the screen is turned off. The accumulated time is in hours and stored in the device system's non-volatile memory (such as EEPROM or a specific file) to prevent loss after a reboot. The AP is responsible for maintaining and updating this accumulated time value.

[0057] (3.2) Gamma table calling and switching process: Triggering mechanism: Each time the screen is turned on, or at regular intervals (e.g., 30 minutes), the display service on the AP side will read the cumulative usage time.

[0058] Decision logic: The AP sends commands to the driver IC via communication interfaces such as MIPI-DSI or I2C. The command includes a "time index." For example, if the cumulative time is 45 hours, the index points to the 40-hour and 50-hour data sets.

[0059] Interpolation execution: The microcontroller unit in the driver IC reads the two sets of Gamma tables (such as the 40h table and the 50h table) corresponding to the index from the memory.

[0060] For each grayscale value, linear interpolation is performed based on the position of the current time (45h) between 40h and 50h: Gamma_45h=Gamma_40h+((45-40) / (50-40))*(Gamma_50h-Gamma_40h) After the calculation is completed, the new Gamma lookup table is loaded into the register of the driver IC and takes effect immediately.

[0061] (3.3) Anomaly Handling and Security Assurance: A maximum compensation time limit is set. For example, after 100 hours, the system will always call the 100-hour Gamma table and stop the cumulative timing to prevent overflow. A verification mechanism is designed in the driver IC to ensure that the burned Gamma data is complete and error-free. If data corruption is detected, it will automatically revert to the initial 0-hour Gamma table to ensure that the basic display function is normal.

[0062] Specifically, in another embodiment, such as Figure 2 As shown, an OLED screen lifetime compensation system based on a pre-stored aging Gamma curve is disclosed. This system executes the aforementioned compensation method through the collaborative relationship between the application processing unit (AP), the driver IC, and the OLED display panel, including: 1. Data preparation stage (before leaving the factory): The driver IC's Gamma data memory already contains a complete Gamma data table for 11 time points (0h-100h) generated based on model fitting. This is the data foundation for the entire system to run.

[0063] 2. Real-time operation phase (during user use): (2.1) Recording and Instructions (AP→IC): The timing and control module on the AP side continuously records the total screen-on time. When compensation is needed, the timing and control module will send the current cumulative usage time as an instruction to the interpolation calculation module in the driver IC.

[0064] (2.2) Data request (internal to IC): After receiving the time instruction, the interpolation calculation module will query the Gamma data memory for two pre-stored Gamma data tables adjacent to the time point (for example, if the current time is 45 hours, then query the data for 40 hours and 50 hours).

[0065] (2.3) Data execution and display module (IC→OLED display panel): After the interpolation calculation module obtains two sets of data, it calculates the Gamma value that is precisely matched with the current time point through the interpolation algorithm, and outputs it to the pixel array of the OLED display panel, and finally drives the screen to display the image after precise compensation.

Claims

1. A method for compensating the lifetime of an OLED screen based on a pre-stored aging Gamma curve, characterized in that, Includes the following steps: Continuous aging of OLED display modules: The brightness of each OLED display module at different gray levels was measured at different aging time points. Using the initial brightness of each OLED display module as the independent variable and the brightness of each gray level of each OLED display module at each aging time node as the dependent variable, the aging Gamma curve of each gray level at each time node is fitted respectively. Input the initial Gamma lookup table of the new OLED display module, and call the corresponding aging Gamma curve to calculate the complete Gamma lookup table of the OLED display module at different aging time points in the future. Lifetime compensation for new OLED display modules is performed based on a complete Gamma lookup table.

2. The OLED screen lifetime compensation method based on a pre-stored aging Gamma curve according to claim 1, characterized in that, The continuously aging OLED display module includes: Different OLED display modules were placed in a constant temperature environment not exceeding 60°C, and a display image was applied. A constant current was applied to drive the OLED display modules to accelerate their aging process. By mapping the accelerated aging time points to the aging time points under normal use at room temperature, a time conversion relationship is obtained. This time conversion relationship is used as a benchmark for different aging time points.

3. The OLED screen lifetime compensation method based on a pre-stored aging Gamma curve according to claim 2, characterized in that, The method for extracting different OLED display modules includes: The sampled OLED display modules cover the normal process fluctuation range; initial optical and electrical parameters of all sampled OLED display modules are measured to ensure that their initial performance is within specifications.

4. The OLED screen lifetime compensation method based on a pre-stored aging Gamma curve according to claim 2, characterized in that, The correspondence between the accelerated aging time point and the aging time point under normal use at room temperature is determined by the Arrhenius model. The displayed image is either a white screen or a grayscale mixed screen.

5. The OLED screen lifetime compensation method based on a pre-stored aging Gamma curve according to claim 1, characterized in that, The different aging time nodes are multiple time nodes with the same time interval during the aging process.

6. The OLED screen lifetime compensation method based on a pre-stored aging Gamma curve according to claim 1, characterized in that, The initial brightness of the OLED display module is the brightness after 0 hours of aging.

7. The OLED screen lifetime compensation method based on a pre-stored aging Gamma curve according to claim 1, characterized in that, After fitting the aging Gamma curve of each gray level at each time node, the following steps are also included: Based on the fitted aging Gamma curve, the initial brightness of the OLED display module is input to obtain the brightness prediction value at different aging time points. The brightness prediction value is compared with the actual brightness measurement value at the corresponding time point. The prediction ability of the aging Gamma curve is judged to be qualified based on the standard that the brightness difference is lower than the threshold that can be perceived by the human eye.

8. The OLED screen lifetime compensation method based on a pre-stored aging Gamma curve according to claim 1, characterized in that, The aging Gamma curve corresponding to the call includes: Construct a three-dimensional matrix by combining the coefficients in the aging Gamma curve with the corresponding aging time nodes and gray levels; Based on the initial Gamma lookup table, retrieve the corresponding aging Gamma curve from the three-dimensional matrix.

9. The OLED screen lifetime compensation method based on a pre-stored aging Gamma curve according to claim 1, characterized in that, The lifetime compensation for new OLED display modules based on a complete Gamma lookup table includes: Once the OLED display module is turned on, record the cumulative usage time. In the complete Gamma lookup table, query the Gamma data table for two adjacent aging time nodes based on the cumulative usage time point; Based on the Gamma data table obtained from the query, for each gray level, linear interpolation is performed according to the position of the cumulative usage time point between two aging time points to obtain a new Gamma lookup table. Once the new Gamma lookup table takes effect in the OLED display module, lifetime compensation will be performed on the OLED display module.

10. The OLED screen lifetime compensation method based on a pre-stored aging Gamma curve according to claim 9, characterized in that, It also includes the following steps: Set a maximum compensation time limit. When the maximum compensation time limit is exceeded, the Gamma lookup table for the maximum compensation time limit will be called and the cumulative usage time will be stopped. The design incorporates a verification mechanism to ensure that the burned Gamma data is complete and error-free. If corrupted Gamma data is detected, the system will automatically revert to the initial Gamma lookup table.

11. An OLED screen lifetime compensation system based on a pre-stored aging Gamma curve for performing the method of any one of claims 1-10, comprising: Gamma data storage is used to pre-store a complete Gamma lookup table for OLED display modules at different aging time points in the future; The timing and control module is used to continuously record the cumulative usage time of the OLED display module. When lifespan compensation is required, the current cumulative usage time is sent as an instruction to the interpolation calculation module. The interpolation calculation module is used to query the Gamma data storage for two pre-stored Gamma lookup tables adjacent to the cumulative usage time point after receiving the cumulative usage time instruction, and calculate a new Gamma lookup table that precisely matches the current cumulative usage time point through the interpolation algorithm. The data execution and display module is used to output the new Gamma lookup table to the pixel array of the OLED display panel and drive the OLED display module to display the precisely compensated image.

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