A method, device and system for brightness compensation of an LED display screen

Abstract

This invention relates to the field of display screen technology, specifically to a method, device, and system for brightness compensation of LED displays. The method includes: collecting current data from each light-emitting unit in the LED display and temperature data from the LED display; based on the temperature data, selecting target temperature periods where temperature fluctuations meet preset stability conditions, and determining an initial global compensation coefficient based on the temperature deviation within the target temperature period; based on the current data, analyzing the current change trend of each light-emitting unit, and comparing the consistency of current change trends among light-emitting units within the same reference group to obtain comparison results; selecting aging units based on the comparison results and determining the aging degree corresponding to each aging unit; combining the initial global compensation coefficient and the aging degree to determine the target compensation coefficient corresponding to each light-emitting unit, and performing brightness compensation on the LED display based on the target compensation coefficient. This invention can improve the brightness compensation effect of LED displays.

Description

Technical Field

[0001] This invention relates to the field of display technology, and specifically to a method, device and system for brightness compensation of LED displays. Background Technology

[0002] With the continuous iteration and upgrading of light-emitting diode (LED) packaging and micro-display technology, LED displays have expanded their application scenarios from traditional outdoor advertising and stage performances to high-precision display fields such as high-end commercial displays and indoor high-definition conferencing, thanks to their outstanding advantages such as high brightness, high contrast, wide color gamut, ultra-long lifespan, and flexible seamless splicing. However, LEDs are semiconductor light-emitting devices, and their brightness output is constrained by multiple physical factors such as temperature, device aging, and driving current coupling. They exhibit significant nonlinear decay characteristics, which can easily cause uneven brightness distribution across the screen, greatly reducing the consistency of image display.

[0003] Currently, mainstream LED brightness compensation solutions rely solely on ambient temperature to achieve uniform dimming across the entire screen. This only provides a rough compensation for overall brightness shifts caused by temperature, lacking refined correction logic based on real-time current data from individual modules. Such solutions cannot distinguish between normal current fluctuations caused by screen content load and abnormal current deviations caused by module light decay. They struggle to accurately pinpoint and quantify the degree of module aging over long-term use, and cannot apply differentiated compensation to modules with varying degrees of aging. Even with global temperature compensation, localized brightness differences still appear on the screen, leading to a continuous exacerbation of visual defects over extended use, failing to meet the demands of high-end applications for uniform and stable display effects.

[0004] In other words, the brightness compensation effect of existing LED displays is poor. Summary of the Invention

[0005] The purpose of this invention is to provide a method, device and system for LED display screen brightness compensation, which solves the technical problem of poor brightness compensation effect of LED display screen in the prior art.

[0006] In a first aspect, one embodiment of the present invention provides a method for compensating the brightness of an LED display screen, the method comprising: Collect current data of each light-emitting unit in the LED display screen and temperature data of the LED display screen; Based on temperature data, target temperature periods that meet preset stability conditions are selected, and initial global compensation coefficients are determined according to temperature deviations within the target temperature periods. The initial global compensation coefficients are used to characterize the overall brightness decay of the LED display screen due to thermal effects. The preset stability conditions are used to indicate whether the LED display screen is in a thermal equilibrium state or a quasi-static change process. Based on current data, the current variation trend of each light-emitting unit is analyzed, and the consistency of the current variation trend is compared among the light-emitting units in the same reference group to obtain the comparison results; among them, the current variation trend is used to characterize the evolution law of the electrical characteristics of each light-emitting unit under the corresponding driving conditions over time. Based on the comparison results, aged units are screened and the aging degree of each aged unit is determined. Among them, the aged unit is used to characterize individuals whose current change trend deviates from other light-emitting units in the same reference group and has abnormal performance degradation; the aging degree is used to characterize the degree of performance degradation of the aged unit relative to other light-emitting units. By combining the initial global compensation coefficient and aging degree, the target compensation coefficient corresponding to each light-emitting unit is determined, and the brightness of the LED display is compensated based on the target compensation coefficient; wherein, the target compensation coefficient is used to characterize the driving adjustment parameter for correcting the input signal of the corresponding light-emitting unit.

[0007] In one embodiment, the step of selecting target temperature periods whose temperature fluctuations meet preset stability conditions based on temperature data includes: Based on the reference time period, the absolute value of the difference between the temperature data at each moment within the reference time period and the reference temperature is calculated to obtain the temperature deviation sequence; wherein, the reference time period is used to characterize the running period of the LED display screen within the preset time window after startup; Curve fitting is performed on the temperature deviation sequence to obtain the temperature fitting curve. Based on the slope of the tangent of the temperature fitting curve, multiple temperature stability periods and the stability corresponding to multiple temperature stability periods are determined. The target temperature period is determined from multiple stable temperature periods based on stability; the target temperature period is used to characterize the period in which the stability meets the preset stability conditions among multiple stable temperature periods.

[0008] In one embodiment, the step of determining the initial global compensation coefficient based on the temperature deviation within the target temperature period includes: The mean temperature deviation within the target temperature period is calculated, and combined with the preset temperature attenuation coefficient, the global brightness attenuation coefficient is calculated. The initial global compensation coefficient is determined based on the global brightness attenuation coefficient and the numerical clipping function.

[0009] In one embodiment, the step of determining multiple temperature stabilization periods includes: Calculate the slope of the tangent line at each moment on the temperature fitting curve, and determine the difference in the slope of the tangent line between any two adjacent moments. Based on the difference in tangent slope and preset stability conditions, multiple temperature stabilization periods are determined; among them, the temperature stabilization period is used to characterize the continuous time period during which the temperature change rate of the LED display screen tends to be stable.

[0010] In one embodiment, the calculation steps for the current change trend include: The current data within the reference time period are fitted to obtain the current fitting curve; The number of data points whose tangent slope on the current fitting curve meets the preset stability condition is counted, and the ratio of the number of data points to the total number of data in the reference period is calculated to obtain the value of the drastic change in the current data. The current change trend is calculated based on the drastic change value of the current data, the absolute value of the current difference between the first data point that meets the preset stability condition and the adjacent second data point that meets the preset stability condition on the current fitting curve, and the average value of the absolute values ​​of the tangent slopes of each data point between the first data point and the second data point; where the first data point and the second data point are any two adjacent data points on the current fitting curve that meet the preset stability condition.

[0011] In one embodiment, the step of screening aging units based on the comparison results includes: For the first light-emitting unit in the same reference group, the light-emitting units in the other light-emitting units in the same reference group whose current change trend is consistent with that of the first light-emitting unit are identified as candidate units. The number of candidate units whose absolute deviation from the current change of the first light-emitting unit is less than a preset consistency threshold is counted. If the number of units is greater than or equal to a preset threshold, the first light-emitting unit is determined to be an aging unit.

[0012] In one embodiment, the step of determining the degree of aging corresponding to each aging unit includes: For each target aging unit in each aging unit, obtain the set of consistency parameters between the target aging unit and the other light-emitting units in the same reference group; Based on the set of consistency parameters, reference indicators characterizing the aging features of the target aging unit are extracted; Determine the degree of aging corresponding to the target aging unit based on the reference indicators.

[0013] In one embodiment, the step of determining the target compensation coefficient for each light-emitting unit by combining the initial global compensation coefficient and the aging degree includes: For each target aging unit in each aging unit, the compensation adjustment amount is determined based on the aging degree corresponding to the target aging unit and the preset aging compensation weight coefficient. The initial global compensation coefficient and the compensation adjustment amount are then fused to obtain the target compensation coefficient corresponding to the target aging unit. For light-emitting units other than the aging unit, the initial global compensation coefficient is determined as the target compensation coefficient for the other light-emitting units.

[0014] Secondly, another embodiment of the present invention provides an LED display screen brightness compensation system, the system comprising: The data acquisition module is used to collect current data of each light-emitting unit in the LED display screen and temperature data of the LED display screen. The filtering module is used to filter out target temperature periods where temperature fluctuations meet preset stability conditions based on temperature data. The determination module is used to determine the initial global compensation coefficient based on the temperature deviation within the target temperature period; wherein, the initial global compensation coefficient is used to characterize the degree of brightness decay of the LED display screen as a whole due to thermal effects; the preset stability condition is used to indicate whether the LED display screen is in a thermal equilibrium state or a quasi-static change process; The analysis module is used to analyze the current change trend of each light-emitting unit based on the current data; The comparison module is used to compare the consistency of current change trends among various light-emitting units within the same reference group and obtain the comparison results; wherein, the current change trend is used to characterize the evolution of the electrical characteristics of each light-emitting unit under the corresponding driving conditions over time. The determination module is also used to screen aging units based on the comparison results and determine the aging degree corresponding to each aging unit. Among them, the aging unit is used to characterize individuals whose current change trend deviates from other light-emitting units in the same reference group and has abnormal performance degradation. The aging degree is used to characterize the degree of performance degradation of the aging unit relative to other light-emitting units. Combining the initial global compensation coefficient and the aging degree, the target compensation coefficient corresponding to each light-emitting unit is determined. The compensation module is used to perform brightness compensation on the LED display screen based on the target compensation coefficient; wherein, the target compensation coefficient is used to characterize the driving adjustment parameter for correcting the input signal of the corresponding light-emitting unit.

[0015] Thirdly, in another embodiment of the present invention, an electronic device is provided, including a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method described in the first aspect.

[0016] Fourthly, in another embodiment of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the method described in the first aspect.

[0017] The present invention has the following beneficial effects: This invention simultaneously collects full-screen temperature and current data of each light-emitting unit, achieving layered full-area temperature compensation and differentiated correction for unit aging. By selecting target temperature periods that meet stability conditions to calculate the initial global compensation coefficient, short-term temperature disturbances can be filtered out. The overall thermally induced brightness decay is quantified based solely on the device's near-thermal equilibrium state, avoiding frequent screen brightness jumps and stabilizing the overall screen's basic brightness benchmark. By comparing the consistency of current trends with a reference group of the same screen, normal current fluctuations caused by screen load and abnormal electrical deviations caused by module light decay can be effectively distinguished, aging units can be selected and their aging degree quantified, reducing misjudgments. Finally, the global compensation coefficient and aging degree are combined to generate a target compensation coefficient specific to each unit. This uniformly offsets the full-screen synchronous brightness drift caused by ambient temperature and adds differentiated correction amounts to aging units with different degrees of decay, balancing overall brightness stability and local brightness uniformity, significantly eliminating screen brightness unevenness defects, and thus improving the brightness compensation effect of the LED display. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating an LED display screen brightness compensation method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of an LED display screen brightness compensation system provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0019] The specific scheme of the LED display brightness compensation method provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0020] This invention proposes a brightness compensation method for LED displays. Please refer to [link / reference]. Figure 1 The diagram illustrates a schematic flowchart of an LED display screen brightness compensation method according to an embodiment of the present invention, which includes the following steps: Step S1: Collect the current data of each light-emitting unit in the LED display screen and the temperature data of the LED display screen.

[0021] Among them, LED display screen refers to semiconductor display device composed of multi-module LED beads, driving circuit and temperature sensing unit, and is the object of brightness compensation control.

[0022] Each light-emitting unit refers to a single module as the smallest unit. Each module integrates an independent current detection unit, which is the basic unit for current acquisition and differential compensation.

[0023] Current data refers to the real-time current values ​​collected by the driving circuits of each LED module. It is the original electrical sampling data when the module emits light and serves as the basic data source for distinguishing between screen load fluctuations and current deviations caused by aging.

[0024] Temperature data refers to global temperature time-series data obtained by averaging the data collected by multiple sensors on the screen. It is used to calculate global brightness decay and offset overall temperature drift.

[0025] It should be noted that, in the embodiments of the present invention, the simultaneous acquisition of current timing data of the entire module and global temperature data of the screen can take into account the nonlinear effects of the strong coupling between temperature and current on LED brightness. It can identify the uniform brightness shift problem of the entire screen by relying on temperature data and avoid frequent brightness fluctuations caused by short-term temperature disturbances. It can also distinguish between normal current fluctuations caused by screen load and abnormal current deviations caused by long-term light decay of the module by relying on current data of each module. This provides complete and reliable raw data support for subsequent calculation of global compensation coefficients, screening of aging modules and quantification of aging degree.

[0026] Step S2: Based on temperature data, select the target temperature period that meets the preset stability conditions for temperature fluctuations, and determine the initial global compensation coefficient according to the temperature deviation within the target temperature period; wherein, the initial global compensation coefficient is used to characterize the degree of brightness decay of the LED display screen as a whole due to thermal effects; the preset stability conditions are used to indicate whether the LED display screen is in a thermal equilibrium state or a quasi-static change process.

[0027] For example, temperature data is collected in real time by multiple sets of temperature sensors arranged at the four corners, center and heat source area of ​​the LED screen. After the temperature values ​​collected by each sensor are summarized and processed, a global temperature time series dataset of the screen is generated. This dataset is the original input data for all temperature analysis and brightness compensation calculations in this embodiment.

[0028] The specific process for selecting the target temperature period that meets the preset stability conditions is as follows: taking the current time as the endpoint, extract 60 consecutive time nodes to form a reference period; perform curve fitting using the least squares method on the temperature deviation sequence generated within the reference period, solve for the tangent slope corresponding to each time node, and calculate the difference in tangent slope between adjacent time nodes; define the continuous time interval where the difference in the slope of adjacent tangents throughout the entire process is not greater than the preset slope difference threshold as the temperature stable interval, and then select the interval with the highest stability based on the stability index of each temperature stable interval as the target temperature period for subsequent calculations.

[0029] For example, the process of solving the initial global compensation coefficient based on the target temperature period includes extracting all temperature deviation data within the target temperature period and calculating the mean value, calculating the global brightness attenuation coefficient based on the mean value, then constraining the calculation result through a numerical clipping function, and finally outputting the initial global compensation coefficient adapted to the entire screen.

[0030] The initial global compensation coefficient refers to the unified compensation benchmark parameter obtained by solving only the global brightness drift caused by ambient temperature. It is used to correct the synchronous overall brightness and darkness offset of the entire display screen caused by temperature changes. All modules in the screen share this basic adjustment parameter. The coefficient is limited to the value range of [-1,1] by the clipping function. When the coefficient is positive, it means that brightness increase compensation needs to be performed. When the coefficient is negative, it means that brightness decrease compensation needs to be performed.

[0031] Brightness decay refers to the reduction in the luminous efficiency of LED chips caused by increased ambient and operating temperatures, resulting in uniform light decay across all modules of the screen. This type of brightness decay does not exhibit individual differences between modules and is a uniform brightness offset across the entire screen, directly generated by the thermal effects of module operation.

[0032] The preset stability conditions are used as a quantitative judgment standard to distinguish the temperature operation status (exemplary threshold: the difference in the slope of the tangent of adjacent time series temperatures ≤ 0.3). This can distinguish between instantaneous temperature change disturbances such as intermittent air supply of air conditioner and environmental airflow disturbances and the long-term stable thermal balance of the screen, and screen out effective time series intervals with gentle temperature changes and no drastic fluctuations.

[0033] Thermal equilibrium refers to a state where the heating rate of the LED module itself is basically equal to the cooling rate of the environment, and the overall temperature of the screen only fluctuates slightly and gently, without a continuous heating or cooling trend. At this time, the luminous efficiency of the LED remains stable and there will be no continuous overall brightness drift.

[0034] Quasi-static change process refers to a process in which the temperature only changes slightly and gradually, without any step-like or large-scale temperature abrupt changes, and the overall temperature change rate is extremely low. Under this condition, there is a stable linear mapping relationship between temperature and brightness decay, and the compensation coefficient calculated based on the data of this period will not show frequent or large-scale jumps.

[0035] It should be noted that, in the embodiments of the present invention, the stable temperature period of thermal equilibrium and quasi-static conditions is first screened before the global compensation coefficient is calculated. This can filter out invalid data caused by short-term temperature disturbances such as air conditioning blowing and instantaneous temperature differences in the environment, and avoid screen brightness flicker caused by frequent adjustments of the compensation coefficient with small fluctuations in instantaneous temperature. The global brightness attenuation benchmark is calculated based on the average value of the stable period, and the uniform thermal light attenuation offset of the entire screen can be quantified to establish a unified and reliable full-screen brightness compensation benchmark. This eliminates the synchronous brightness and darkness drift of the entire screen caused by temperature from the root, and ensures that the basic brightness of the screen remains stable in the long term.

[0036] Furthermore, the step of filtering out target temperature periods whose temperature fluctuations meet preset stability conditions based on temperature data includes: Based on the reference time period, the absolute value of the difference between the temperature data at each moment within the reference time period and the reference temperature is calculated to obtain the temperature deviation sequence; wherein, the reference time period is used to characterize the running period of the LED display screen within the preset time window after startup.

[0037] The reference period refers to a continuous time window consisting of 60 moments preceding the current moment. It is a fixed operating observation period defined after the LED display screen is turned on. It is used to uniformly capture temperature and current time series data for centralized analysis, serving as a unified data base for all subsequent temperature and attenuation coefficient calculations.

[0038] The reference temperature refers to the standard operating temperature obtained by photoelectric calibration of LED beads before they leave the factory. It is a reference standard for judging whether the actual operating temperature of the screen deviates from the ideal light-emitting state.

[0039] Curve fitting is performed on the temperature deviation sequence to obtain the temperature fitting curve. Based on the slope of the tangent of the temperature fitting curve, multiple temperature stability periods and the stability corresponding to the multiple temperature stability periods are determined.

[0040] Temperature deviation refers to the absolute value of the difference between the measured temperature and the standard junction temperature at each moment within the reference period, quantifying the magnitude of the temperature deviation from the standard operating conditions at a single moment.

[0041] Temperature deviation sequence refers to a set of time-series values ​​formed by arranging the temperature deviations calculated at all times within a reference period in chronological order.

[0042] Curve fitting refers to using the least squares method to fit a function to a temperature deviation sequence, generating a continuous and smooth temperature fitting curve, thus transforming discrete single-point temperature deviations into a continuously changing temperature fluctuation trend.

[0043] The slope of the tangent line of the temperature fitting curve refers to the first derivative of the fitting curve at each time point, which characterizes how fast the temperature deviation changes at that moment. The larger the slope, the more violent the temperature fluctuation, and the smaller the slope, the more stable the temperature tends to be.

[0044] A stable temperature period refers to a continuous time interval in which the difference in the slope of the tangent between adjacent moments does not exceed a preset slope difference threshold. This represents a continuous period in which the temperature of the screen changes slowly without drastic disturbances.

[0045] Stability refers to an index that quantifies the degree of stability of a single temperature period. It is obtained by multiplying the length of the period by the reciprocal of the difference between the maximum slope of that period. The longer the duration and the smaller the fluctuation, the higher the stability value.

[0046] The target temperature period is determined from multiple stable temperature periods based on stability; the target temperature period is used to characterize the period in which the stability meets the preset stability conditions among multiple stable temperature periods.

[0047] The target temperature period refers to the continuous period with the most stable temperature change and the least temperature disturbance selected from the 60-hour reference period. It is selected by the maximum temperature stability and is used to avoid interference from short-term external instantaneous temperature fluctuations such as air conditioning blowing.

[0048] It should be noted that, in the embodiments of the present invention, by uniformly collecting temperature time series by extracting a fixed-length reference time period, calculating the standardized temperature deviation sequence, and fitting the curve to extract slope features, the main temperature time period with the least disturbance is selected from multiple stable temperature ranges as the calculation basis. This can filter out invalid fluctuation data caused by short-term sudden temperature disturbances such as air conditioning supply and environmental ventilation, avoid using instantaneous fluctuating temperature in brightness attenuation calculation, and ensure that the subsequent calculation of global brightness attenuation coefficient and initial global compensation coefficient relies only on stable and reliable temperature samples. This avoids frequent changes in screen brightness from the source and provides stable basic parameters for uniformly offsetting the screen-wide synchronous brightness drift caused by temperature.

[0049] Furthermore, the step of determining the initial global compensation coefficient based on the temperature deviation within the target temperature period includes: The mean temperature deviation within the target temperature period is calculated, and combined with the preset temperature attenuation coefficient, the global brightness attenuation coefficient is calculated.

[0050] The mean temperature deviation refers to the average value of the temperature deviation at all times within the main temperature period. By eliminating small temperature fluctuations during the stable period, a uniform temperature offset for that period can be obtained.

[0051] The preset temperature decay coefficient refers to a fixed parameter obtained by photoelectric calibration before the LED chips leave the factory. It represents the LED brightness decay ratio corresponding to a unit temperature deviation and is the conversion benchmark between temperature and brightness loss.

[0052] The global brightness attenuation coefficient represents the proportion of overall brightness loss of the entire display screen due to temperature deviation. The larger the value, the more severe the brightness attenuation caused by temperature.

[0053] The initial global compensation coefficient is determined based on the global brightness attenuation coefficient and the numerical clipping function.

[0054] Among them, the numerical clipping function refers to the constraint function that limits the output value range to [-1,1], to prevent the compensation coefficient from being too large or too small, which would cause the module power to exceed the limit, burn out due to excessive brightness, or have no compensation effect.

[0055] For example, the global brightness attenuation coefficient is calculated based on the average temperature deviation of the selected stable main temperature period, and the initial global compensation coefficient is output through the constraint of the clipping function. This can not only filter out the invalid compensation fluctuations caused by instantaneous and small ambient temperature disturbances, avoiding frequent screen brightness flicker, but also quantify the global synchronous brightness drift caused by temperature based on the inherent photoelectric calibration parameters of the LED beads, while limiting the compensation adjustment range within a safe range. This can uniformly offset the rise or fall of the screen brightness caused by temperature at the overall level, providing a stable and reliable global compensation benchmark for subsequent module differentiated aging compensation.

[0056] Furthermore, the step of determining the multiple temperature stabilization periods includes: Calculate the slope of the tangent line at each moment on the temperature fitting curve, and determine the difference in the slope of the tangent line between any two adjacent moments.

[0057] Among them, the temperature fitting curve refers to the continuous curve generated by fitting the entire temperature deviation data sequence within the reference period, which is composed of 60 time points prior to the current time, using the least squares method. It intuitively reflects the change law of the screen temperature deviation over time.

[0058] The difference in the slope of the tangent at adjacent time points refers to the value obtained by subtracting the slopes of the tangent at two consecutive time points, and is used to quantify the fluctuation range of the rate of temperature change over a continuous period of time.

[0059] Based on the difference in tangent slope and preset stability conditions, multiple temperature stabilization periods are determined; among them, the temperature stabilization period is used to characterize the continuous time period during which the temperature change rate of the LED display screen tends to be stable.

[0060] It should be noted that, in the embodiments of the present invention, by extracting the slope of the tangent line of the temperature fitting curve at each moment and calculating the difference between adjacent slopes, a stable period with a stable rate of temperature change is selected. This can filter out invalid temperature data caused by short-term temperature disturbances such as intermittent air supply of air conditioners and instantaneous heat dissipation fluctuations in the environment. Only the average value of the temperature stable period is used to calculate the global brightness attenuation coefficient and the initial global compensation coefficient, avoiding frequent jumps in compensation parameters with small fluctuations in instantaneous temperature, preventing continuous flickering of screen brightness, ensuring the stability of the whole screen temperature compensation benchmark, and smooth output brightness without visual flicker.

[0061] Step S3: Based on the current data, analyze the current change trend of each light-emitting unit, and compare the consistency of the current change trend among the light-emitting units in the same reference group to obtain the comparison results; wherein, the current change trend is used to characterize the evolution law of the electrical characteristics of each light-emitting unit under the corresponding driving conditions over time.

[0062] Among them, the current change trend refers to the quantitative index calculated from the current time series data, which characterizes the overall trend of current fluctuation and undulation over time, and reflects the current response law of the light-emitting unit as the load of the screen changes.

[0063] The same reference group refers to dividing the screen into regions with approximately the same pattern elements through threshold segmentation. All modules in the region constitute a set of reference units. The screen loads of modules in the same group are similar, and the theoretical current fluctuation patterns should be highly consistent, so they can be used as comparison benchmarks.

[0064] The consistency comparison of current change trends refers to constructing a consistency quantification index using DTW distance and the number of synchronous fluctuation moments, and comparing the degree of fit of the current change trends of any two modules in the same group.

[0065] The comparison results refer to the quantitative comparison data obtained by calculating the DTW distance, the number of synchronous fluctuation moments, and the trend consistency values ​​of the current change trend sequence of all modules in the group, with the screen partition as the reference group. It is the basis for judging whether the module is aging.

[0066] Driving conditions refer to the operating conditions of the unified input signals, such as the target brightness and original driving power corresponding to the screen playback image.

[0067] The evolution of electrical characteristics over time refers to the long-term changes in the driving current of a module after long-term use, due to LED light decay, resulting in a continuous increase in current and current fluctuation characteristics that differ from those of a normal module under the same brightness requirements.

[0068] It should be noted that, in the embodiments of the present invention, the current change trend of each unit is quantified by relying on the real-time current data of the module, and the consistency of the trend is compared horizontally with the same pattern area with the same screen load as the reference group. This can isolate the interference of normal current fluctuation caused by different screen brightness loads, distinguish the temporary current difference caused by screen switching from the permanent electrical offset caused by the light aging of the module, and quickly locate the aging module and quantify the degree of aging without additional optical acquisition equipment. This provides a reliable basis for subsequent global brightness compensation and module differentiation correction, and eliminates the problem of uneven brightness of the same screen module from the root.

[0069] Furthermore, the calculation steps for the current change trend include: The current data within the reference time period are fitted to obtain the current fitting curve.

[0070] Among them, the fitting process refers to using the least squares method to perform curve fitting on the discrete current time series data of the reference period, transforming the discrete sampling points into a continuous and smooth current change curve.

[0071] The current fitting curve refers to the continuous curve generated after fitting discrete current sampling points using the least squares method. It can intuitively reflect the continuous change of module current over time and facilitate the extraction of slope features.

[0072] The number of data points whose tangent slope on the current fitting curve meets the preset stability condition is counted, and the ratio of the number of data points to the total number of data in the reference period is calculated to obtain the value of the drastic change in the current data.

[0073] The tangent slope refers to the first derivative of the current fitting curve at any point, representing the instantaneous rate of change of the module current at that moment.

[0074] Stable data points refer to sampling points on the current fitting curve where the slope of the tangent line is equal to 0 and the current remains stable.

[0075] The number of data points refers to the total number of stable points within the reference period that all satisfy the condition that the tangent slope is 0.

[0076] The total number of data points refers to the total number of all current sampling points collected within the complete reference period.

[0077] The drastic change value of the current data refers to the ratio of the number of stable points to the total number of sampling points, which quantifies the overall current stability of the module. The smaller the ratio, the more drastic the current fluctuation.

[0078] The current change trend is calculated based on the drastic change value of the current data, the absolute value of the current difference between the first data point that meets the preset stability condition and the adjacent second data point that meets the preset stability condition on the current fitting curve, and the average value of the absolute values ​​of the tangent slopes of each data point between the first data point and the second data point; where the first data point and the second data point are any two adjacent data points on the current fitting curve that meet the preset stability condition.

[0079] For example, the trend of current change It can be represented as: in, This indicates a value indicating a drastic change in current data. This represents the absolute value of the current difference between the first data point on the current fitting curve that meets the preset stability condition and the adjacent second data point that also meets the preset stability condition. This represents the mean of the absolute values ​​of the slopes of the tangent lines between the first and second data points. This represents the normalization function.

[0080] Here, the first data point and the second data point refer to the stable points on the fitted curve that are adjacent to each other and both have a slope of 0.

[0081] The absolute value of the current difference refers to the absolute value of the difference between the current values ​​corresponding to two adjacent stable points, representing the current drop between two stable intervals.

[0082] The mean absolute value of the tangent slope refers to the average of the absolute values ​​of the tangent slopes of all sampling points between two adjacent stable points, which represents the current fluctuation amplitude between two stable intervals.

[0083] It should be noted that, in the embodiments of the present invention, a continuous curve is obtained by fitting the discrete current time series using the least squares method. Multi-level feature indicators are constructed based on stable points with a slope of 0. First, the overall fluctuation intensity of the module current is quantified by the proportion of stable points. Then, the current drop of adjacent stable intervals and the average fluctuation within the interval are superimposed to calculate the normalized current change trend. This can isolate the short-term, periodic normal current fluctuations caused by playing different images and capture the continuous and systematic current shift characteristics of the module caused by photoaging. This provides a quantitative and standardized unified feature indicator for subsequent comparison of the trend similarity of multiple modules in the same image area and for distinguishing between normal and aging modules, which greatly reduces the probability of misjudgment caused by image load interference.

[0084] Step S4: Screen aging units based on the comparison results and determine the aging degree of each aging unit; wherein, aging unit is used to characterize individuals whose current change trend deviates from other light-emitting units in the same reference group and has abnormal performance degradation; aging degree is used to characterize the degree of performance degradation of aging unit relative to other light-emitting units.

[0085] For example, modules with a consistent current trend within the same reference group that are below a threshold are counted. When the proportion of abnormal modules exceeds half, the module is determined to be an aging unit, thus completing the screening of aging units.

[0086] The numerical value of aging degree corresponds to the severity of light decay of the module, representing the magnitude of the decline in light emission performance of the aged unit compared to the normal module in the same group, and providing correction parameters for subsequent differentiated brightness compensation.

[0087] An aging unit refers to a module whose current change trend deviates significantly from that of surrounding normal modules within the same screen load and pattern reference group; due to the light decay of LED chips and the permanent decrease in luminous efficiency, the driving circuit is forced to continuously increase the current to maintain brightness, which is an individual module that has experienced abnormal performance degradation.

[0088] For example, performance degradation refers to the irreversible light decay that occurs when an LED module is used for a long time. Under the same screen input, the luminous efficiency decreases, the driving current is consistently higher than that of a normal module, and the current fluctuation pattern deviates systematically from that of a normal module in the same group, which is different from the temporary normal current fluctuation caused by screen switching.

[0089] It should be noted that, in the embodiments of the present invention, using the same screen load modules as a unified reference group to compare the current change trend can filter the normal current difference caused by different screen loads, distinguish the temporary current fluctuations caused by screen switching from the permanent light aging abnormality of the modules, can identify all aging modules in batches, and can output quantifiable aging degree values, providing a basis for differentiated correction for modules with different aging degrees, avoiding the problem that global temperature compensation alone cannot eliminate the difference in brightness between modules, and solving the problem of uneven brightness across the entire screen from the module individual level.

[0090] Furthermore, the step of screening aging units based on the comparison results includes: For the first light-emitting unit within the same reference group, the light-emitting units in the remaining light-emitting units within the same reference group whose current change trend is consistent with that of the first light-emitting unit are identified as candidate units.

[0091] The first light-emitting unit refers to any target LED module within the reference group that is to be tested and judged to have undergone photoaging, serving as a comparison benchmark unit.

[0092] The remaining light-emitting units refer to all LED modules other than the first light-emitting unit within the same pattern reference group.

[0093] The consistent direction of change means that the current rise, fall, and steady fluctuation of the candidate unit and the first light-emitting unit are synchronized at each synchronization moment, without any reverse deviation.

[0094] Candidate units refer to modules within the same reference group whose current change trend fluctuates in the same direction as the first light-emitting unit. The first layer of coarse screening is completed first to eliminate modules with completely different fluctuation trends.

[0095] The number of candidate cells whose absolute deviation from the current change of the first light-emitting cell is less than a preset consistency threshold is counted.

[0096] Among them, the absolute deviation of the current change refers to the absolute value of the difference between the current fluctuation amplitudes of the candidate unit and the first light-emitting unit at the same synchronization moment, which quantifies the difference in the current fluctuation amplitudes of the two.

[0097] The preset consistency threshold refers to the pre-selected critical deviation value, which is used to define whether the current fluctuation amplitude of the two modules is close and whether it belongs to normal synchronous fluctuation.

[0098] The number of units refers to the total number of normal modules in the candidate units where the absolute deviation of the current fluctuation amplitude is lower than the consistency threshold and the current pattern is highly matched with the first light-emitting unit.

[0099] If the number of units is greater than or equal to a preset threshold, the first light-emitting unit is determined to be an aging unit.

[0100] The preset quantity threshold refers to the standard for determining the number of valid matching units within the reference group (e.g., 1 / 2 of the total number of modules in the reference group), which is used to determine whether the target unit is out of sync with the majority of modules in the group.

[0101] It should be noted that, in the embodiments of the present invention, the screen is first divided into a module reference group with similar loads. Any first light-emitting unit in the group is selected as the detection benchmark. The units in the other units in the same group whose current change fluctuations are the same as those of the first light-emitting unit are selected as candidate units. Then, the absolute difference between the current change of the candidate unit and the first light-emitting unit is calculated one by one. The total number of units whose difference is less than a preset consistency threshold and whose current fluctuation amplitude is highly matched is counted. Finally, the number of matched units obtained by the count is compared with a preset number threshold. If the number of matched units reaches or exceeds the threshold, the first light-emitting unit is determined to be an aging module. Otherwise, it is determined to be a normal unit.

[0102] Furthermore, the step of determining the degree of aging corresponding to each aging unit includes: For each target aging unit in each aging unit, obtain the set of consistency parameters between the target aging unit and the other light-emitting units in the same reference group.

[0103] The target aging unit refers to a specific aging module that is currently being calculated for its aging level and is being analyzed.

[0104] The consistency parameter refers to the degree of matching between the current change trends of two modules within the same pattern area. It is calculated by normalizing the synchronization time ratio and the time distance of the dynamic time warping (DTW). The higher the value, the more synchronized the current change patterns of the two modules are.

[0105] The consistency parameter set refers to the dataset formed by summing all consistency parameters after pairwise calculation of the target aging unit and all other normal modules in the reference group.

[0106] Based on the set of consistency parameters, reference indicators characterizing the aging features of the target aging unit are extracted.

[0107] Among them, the reference index for aging characteristics is taken from the minimum value in the consistency parameter set, as well as the proportion of modules with low consistency with the target unit in the region (abnormal module proportion), which is used to quantify the degree to which the module deviates from the normal module.

[0108] Determine the degree of aging corresponding to the target aging unit based on the reference indicators.

[0109] For example, the screen image is first divided into multiple pattern reference groups with consistent loads, and all the preliminarily determined aging units are locked. Then, a single module is selected as the target aging unit in turn. All other light-emitting units in the same reference group are traversed, and the consistency parameters of the module current change trend are calculated for each pair. A complete set of consistency parameters is generated. The minimum consistency value and the proportion of abnormal modules are extracted from the set as reference indicators. Finally, the aging degree value specific to the target aging unit is calculated based on the two reference indicators.

[0110] For example, the degree of aging corresponding to the l-th target aging unit It can be represented as: in, This represents the number of modules in the e-th pattern region whose current variation trend is less than or equal to a consistency threshold (which can be set to 0.3 empirically). This represents the total number of modules within the e-th pattern region. This represents the minimum value among all modules in the pattern region that show the consistency of current change trends between the l-th aging module and the e-th pattern region. This indicates the percentage of abnormal modules.

[0111] It should be noted that, in the embodiments of the present invention, modules with the same screen load are used as a reference comparison benchmark. Aging feature indicators are extracted by the time-series consistency dataset of the target aging unit and all normal modules in the area, and then the aging degree is quantified and calculated. This can distinguish between normal current fluctuations caused by changes in screen pattern and permanent current anomalies caused by module light decay, quantify the differences in the severity of aging of different modules, avoid misjudging screen load fluctuations as module aging, provide a layered differential compensation basis for modules with different aging degrees, and eliminate the problem of uneven brightness in local areas of the screen.

[0112] Step S5: Combine the initial global compensation coefficient and aging degree to determine the target compensation coefficient corresponding to each light-emitting unit, and perform brightness compensation on the LED display screen based on the target compensation coefficient; wherein, the target compensation coefficient is used to characterize the driving adjustment parameter for correcting the input signal of the corresponding light-emitting unit.

[0113] Among them, the normal module directly reuses the initial global compensation coefficient as the target compensation coefficient, while the aging module obtains a uniquely updated target compensation coefficient by superimposing the aging-differential correction amount on the basis of the global compensation. This is the final adjustment parameter that is independent and exclusive to each module.

[0114] Input signal correction refers to the driver chip adjusting the original driving power of the module according to the compensation coefficient, which is equivalent to increasing or decreasing the gain of the input brightness signal of the screen.

[0115] The drive adjustment parameters refer to the values ​​sent from the control system to the module drive unit, which are used to adjust the actual working power of the module and ultimately change the output brightness of the LED beads.

[0116] Brightness compensation refers to correcting the original operating power of each module according to the target compensation coefficient, and then outputting the corrected target power to drive the LED to emit light, thereby offsetting the brightness deviation caused by temperature drift and module aging.

[0117] Furthermore, the step of determining the target compensation coefficient for each light-emitting unit by combining the initial global compensation coefficient and the aging degree includes: For each target aging unit in each aging unit, the compensation adjustment amount is determined based on the aging degree corresponding to the target aging unit and the preset aging compensation weight coefficient. The initial global compensation coefficient and the compensation adjustment amount are then merged to obtain the target compensation coefficient corresponding to the target aging unit.

[0118] The preset aging compensation weight coefficient refers to a fixed parameter calibrated in advance by the system (e.g., a value of 0.1 to 0.3) used to control the additional brightness correction caused by aging and prevent excessive compensation from causing screen tearing.

[0119] The compensation adjustment amount refers to the differential brightness correction increment superimposed only on the aging module. It is calculated by associating the aging degree, compensation weight, and global compensation coefficient, and is used to compensate for the light decay loss of the individual module.

[0120] For example, the target compensation coefficient corresponding to the target aging unit It can be represented as: in, This represents the initial global compensation coefficient. This represents the degree of aging corresponding to the l-th target aging unit. This represents the preset aging compensation weighting coefficient (based on experience, the value is taken as 0.1-0.3). This indicates the amount of compensation adjustment.

[0121] For light-emitting units other than the aging unit, the initial global compensation coefficient is determined as the target compensation coefficient for the other light-emitting units.

[0122] For example, an initial global compensation coefficient driven by temperature is used as the benchmark for uniform brightness adjustment across the entire screen. This uniformly offsets the synchronous drift of screen brightness caused by ambient temperature. Then, based on the actual aging degree of each aging module, a controllable differential compensation adjustment is added to generate a unique compensation coefficient. Normal modules directly use the unified benchmark. This avoids the overall brightness shift of the entire screen due to temperature, and also makes up for the local darkening problem caused by the differential light decay of different modules. It takes into account the overall stability of screen brightness and the brightness balance of individual modules, avoiding the defects of the unified compensation being unable to eliminate local brightness differences and the lack of a temperature benchmark for individual differential compensation leading to overall screen brightness imbalance.

[0123] In summary, this invention simultaneously collects full-screen temperature and current data of each light-emitting unit, achieving layered full-area temperature compensation and differentiated correction for unit aging. By selecting target temperature periods that meet stability conditions to calculate the initial global compensation coefficient, short-term temperature disturbances can be filtered out. The overall thermally induced brightness decay is quantified solely based on the device's quasi-thermal equilibrium state, avoiding frequent screen brightness jumps and stabilizing the overall screen's basic brightness benchmark. By comparing the consistency of current trends with a reference group of the same screen, normal current fluctuations caused by screen load and abnormal electrical offsets caused by module light decay can be effectively distinguished, aging units can be selected and their aging degree quantified, reducing misjudgments. Finally, the global compensation coefficient and aging degree are combined to generate a target compensation coefficient specific to each unit. This uniformly offsets the full-screen synchronous brightness drift caused by ambient temperature and adds differentiated correction amounts to aging units with different degrees of decay, balancing overall brightness stability and local brightness uniformity, significantly eliminating screen brightness unevenness defects, and thus improving the brightness compensation effect of the LED display.

[0124] This invention proposes an LED display screen brightness compensation system; please refer to [link / reference]. Figure 2 The diagram illustrates a structural schematic of an LED display screen brightness compensation system 200 according to an embodiment of the present invention. The system includes: The acquisition module 201 is used to acquire the current data of each light-emitting unit in the LED display screen and the temperature data of the LED display screen; The filtering module 202 is used to filter out target temperature periods where temperature fluctuations meet preset stability conditions based on temperature data. The determination module 203 is used to determine the initial global compensation coefficient based on the temperature deviation within the target temperature period; wherein, the initial global compensation coefficient is used to characterize the degree of brightness decay of the LED display screen caused by the thermal effect; the preset stability condition is used to indicate whether the LED display screen is in a thermal equilibrium state or a quasi-static change process; Analysis module 204 is used to analyze the current change trend of each light-emitting unit based on current data; The comparison module 205 is used to compare the consistency of current change trends among the light-emitting units in the same reference group and obtain the comparison results; wherein, the current change trend is used to characterize the evolution of the electrical characteristics of each light-emitting unit under the corresponding driving conditions over time. The determination module is also used to screen aging units based on the comparison results and determine the aging degree corresponding to each aging unit. Among them, the aging unit is used to characterize individuals whose current change trend deviates from other light-emitting units in the same reference group and has abnormal performance degradation. The aging degree is used to characterize the degree of performance degradation of the aging unit relative to other light-emitting units. Combining the initial global compensation coefficient and the aging degree, the target compensation coefficient corresponding to each light-emitting unit is determined. The compensation module 206 is used to perform brightness compensation on the LED display screen based on the target compensation coefficient; wherein, the target compensation coefficient is used to characterize the driving adjustment parameter for correcting the input signal of the corresponding light-emitting unit.

[0125] It should be noted that the system provided in the above embodiments is only an example of the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device can be divided into different functional modules to complete all or part of the functions described above. In addition, the LED display brightness compensation system and the LED display brightness compensation method embodiment provided in the above embodiments belong to the same concept, and their specific implementation process can be found in the method embodiment, which will not be repeated here.

[0126] This invention also provides an electronic device. Please refer to [link to relevant documentation]. Figure 3 The electronic device may include a processor 301, a memory 302, and a program 3021 stored in the memory 302 and capable of running on the processor 301.

[0127] When program 3021 is executed by processor 301, it can achieve the following: Figure 1 Any steps in the corresponding method embodiments and the achievement of the same beneficial effects will not be repeated here.

Claims

1. A method for brightness compensation of an LED display screen, characterized in that, The method includes: Collect current data of each light-emitting unit in the LED display screen and temperature data of the LED display screen; Based on the temperature data, target temperature periods that meet preset stability conditions are selected, and an initial global compensation coefficient is determined based on the temperature deviation within the target temperature periods. The initial global compensation coefficient is used to characterize the overall brightness decay of the LED display screen due to thermal effects. The preset stability conditions are used to indicate whether the LED display screen is in a thermal equilibrium state or a quasi-static change process. Based on the current data, the current change trend of each light-emitting unit is analyzed, and the consistency of the current change trend is compared among the light-emitting units in the same reference group to obtain the comparison result; wherein, the current change trend is used to characterize the evolution law of the electrical characteristics of each light-emitting unit under the corresponding driving conditions over time. Based on the comparison results, aged units are screened and the degree of aging corresponding to each aged unit is determined; wherein, the aged unit is used to characterize individuals whose current change trend deviates from other light-emitting units in the same reference group and exhibits abnormal performance degradation; the degree of aging is used to characterize the degree of performance degradation of the aged unit relative to the other light-emitting units; By combining the initial global compensation coefficient and the aging degree, a target compensation coefficient is determined for each light-emitting unit, and the brightness of the LED display screen is compensated based on the target compensation coefficient; wherein, the target compensation coefficient is used to characterize the driving adjustment parameter for correcting the input signal of the corresponding light-emitting unit.

2. The LED display screen brightness compensation method according to claim 1, characterized in that, The step of filtering out target temperature periods whose temperature fluctuations meet preset stability conditions based on the temperature data includes: Based on a reference time period, the absolute value of the difference between the temperature data and the reference temperature at each moment within the reference time period is calculated to obtain a temperature deviation sequence; wherein, the reference time period is used to characterize the running segment of the LED display screen within a preset time window after startup; The temperature deviation sequence is subjected to curve fitting to obtain a temperature fitting curve, and multiple temperature stable periods and the stability corresponding to the multiple temperature stable periods are determined based on the slope of the tangent of the temperature fitting curve. A target temperature period is determined from the plurality of temperature stable periods based on the stability; wherein the target temperature period is used to characterize the period in the plurality of temperature stable periods where the stability satisfies the preset stability condition.

3. The LED display screen brightness compensation method according to claim 1, characterized in that, The step of determining the initial global compensation coefficient based on the temperature deviation within the target temperature period includes: The mean temperature deviation within the target temperature period is calculated, and combined with the preset temperature attenuation coefficient, the global brightness attenuation coefficient is calculated. The initial global compensation coefficient is determined based on the global brightness attenuation coefficient and the numerical clipping function.

4. The LED display screen brightness compensation method according to claim 2, characterized in that, The steps for determining the multiple temperature stable periods include: Calculate the slope of the tangent line at each moment on the temperature fitting curve, and determine the difference in the slope of the tangent line between any two adjacent moments. Based on the difference in the tangent slope and the preset stability condition, multiple temperature stabilization periods are determined; wherein, the temperature stabilization periods are used to characterize the continuous time period during which the temperature change rate of the LED display screen tends to be stable.

5. The LED display screen brightness compensation method according to claim 2, characterized in that, The calculation steps for the current change trend include: The current data within the reference time period are fitted to obtain a current fitting curve; The number of data points whose tangent slope on the current fitting curve meets the preset stability condition is counted, and the ratio of the number of data points to the total number of data in the reference time period is calculated to obtain the value of the drastic change in the current data. The current change trend is calculated based on the drastic change value of the current data, the absolute value of the current difference between the first data point that satisfies the preset stability condition and the adjacent second data point that satisfies the preset stability condition on the current fitting curve, and the average value of the absolute values ​​of the tangent slopes of each data point between the first data point and the second data point; wherein, the first data point and the second data point are any two adjacent data points on the current fitting curve that satisfy the preset stability condition.

6. The LED display screen brightness compensation method according to claim 1, characterized in that, The step of screening aging units based on the comparison results includes: For the first light-emitting unit in the same reference group, the light-emitting units in the other light-emitting units in the same reference group whose current change trend is consistent with that of the first light-emitting unit are identified as candidate units. The number of candidate units whose absolute deviation from the current change of the first light-emitting unit is less than a preset consistency threshold is counted. If the number of units is greater than or equal to a preset number threshold, the first light-emitting unit is determined to be an aging unit.

7. The LED display screen brightness compensation method according to claim 6, characterized in that, The steps for determining the degree of aging corresponding to each aging unit include: For each target aging unit in the aging units, obtain the set of consistency parameters between the target aging unit and the other light-emitting units in the same reference group; Based on the set of consistency parameters, reference indicators characterizing the aging characteristics of the target aging unit are extracted; The degree of aging corresponding to the target aging unit is determined based on the reference indicators.

8. The LED display screen brightness compensation method according to claim 7, characterized in that, The step of determining the target compensation coefficient for each light-emitting unit by combining the initial global compensation coefficient and the aging degree includes: For each target aging unit in the aging units, a compensation adjustment amount is determined based on the aging degree corresponding to the target aging unit and the preset aging compensation weight coefficient, and the initial global compensation coefficient is fused with the compensation adjustment amount to obtain the target compensation coefficient corresponding to the target aging unit. For light-emitting units other than the aging unit, the initial global compensation coefficient is determined as the target compensation coefficient corresponding to the other light-emitting units.

9. An electronic device, characterized in that, The electronic device includes a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other through the communication bus; The memory is used to store executable instructions that cause the processor to perform the LED display brightness compensation method as described in any one of claims 1 to 8.

10. A brightness compensation system for an LED display screen, characterized in that, The system includes: The acquisition module is used to acquire the current data of each light-emitting unit in the LED display screen and the temperature data of the LED display screen; The filtering module is used to filter out target temperature periods where the temperature fluctuations meet preset stability conditions based on the temperature data. The determination module is used to determine an initial global compensation coefficient based on the temperature deviation within the target temperature period; wherein, the initial global compensation coefficient is used to characterize the degree of brightness decay of the LED display screen as a whole due to thermal effects; the preset stability condition is used to indicate whether the LED display screen is in a thermal equilibrium state or a quasi-static change process; An analysis module is used to analyze the current change trend of each light-emitting unit based on the current data; The comparison module is used to compare the consistency of the current change trend among the light-emitting units in the same reference group to obtain the comparison result; wherein, the current change trend is used to characterize the evolution law of the electrical characteristics of each light-emitting unit under the corresponding driving conditions over time. The determining module is further configured to screen aging units based on the comparison results and determine the aging degree corresponding to each aging unit; wherein, the aging unit is used to characterize individuals whose current change trend deviates from other light-emitting units in the same reference group and exhibits abnormal performance degradation; the aging degree is used to characterize the degree of performance degradation of the aging unit relative to the other light-emitting units; and the target compensation coefficient corresponding to each light-emitting unit is determined by combining the initial global compensation coefficient and the aging degree. The compensation module is used to perform brightness compensation on the LED display screen based on the target compensation coefficient; wherein the target compensation coefficient is used to characterize the driving adjustment parameter for correcting the input signal of the corresponding light-emitting unit.

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