Micro Chip display screen outdoor environment adaptive system

Abstract

The invention relates to the technical field of control adjustment, in particular to a Micro Chip display screen outdoor environment self-adaption system which comprises an acquisition module, a modeling module, an optimization module, a verification module, an execution module and a feedback module. The modeling module generates thermal constraint information of the maximum safety driving current threshold of the partition according to the data acquired by the acquisition module; the optimization module encodes the driving current combination, the partition weight coefficient and the blue light gain coefficient into gene segments, and generates candidate driving parameters through a genetic algorithm; the verification module screens the verified driving parameters; the execution module starts a sub-pixel alternating strategy for the high-temperature area and increases cold-tone pixel output brightness to the adjacent area; and the feedback module captures actual chromaticity data through a spectrum sensor, and corrects thermodynamic model parameters when the chromatic aberration continuously exceeds the limit. The heat-sensitive color drift of the material is inhibited through cooperation of heat distribution optimization and dynamic color temperature compensation, and the original color standard of the display unit in the outdoor high-brightness environment is maintained.

Description

Technical Field

[0001] This invention relates to the field of control and regulation technology, and more particularly to an outdoor environment adaptive system for Micro Chip displays. Background Technology

[0002] Micro Chip displays are a cutting-edge display technology that operates based on the principle of direct light emission from pixel units composed of micron-sized light-emitting diodes, unlike liquid crystal displays which rely on complex structures with external backlight layers or organic light-emitting diodes. Because each pixel independently controls its light emission process, light scattering loss and color filtering requirements are avoided, theoretically allowing for infinitely high contrast and more precise image detail. Furthermore, the use of inorganic semiconductor materials for light emission results in a more stable light source than organic materials, reducing the risk of degradation over long-term use and significantly extending the lifespan.

[0003] When a Micro Chip display implements adaptive brightness adjustment in an outdoor environment, the high brightness output causes an increase in local temperature rise at the pixel level. The thermal sensitivity of inorganic semiconductor materials induces color drift, making it difficult for the display unit to maintain the original color accuracy. For example, in an outdoor billboard under strong sunlight, the system automatically increases brightness to cope with the ambient light. Repeated high-power emission in densely pixelated areas leads to accelerated heat accumulation, causing the color consistency of the displayed content to gradually deviate from the set value, resulting in color deviation in visual perception and affecting the user's ability to recognize information. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an outdoor environment adaptive system for Micro Chip displays. This system solves the technical problem that high brightness output during outdoor brightness adaptive adjustment leads to increased local temperature rise at the pixel level, and color drift induced by the thermal sensitivity of inorganic semiconductor materials. This causes the display unit to have difficulty maintaining its original color accuracy, affecting the accuracy of information recognition in outdoor applications such as billboards.

[0005] To solve the above-mentioned technical problems, the specific details of the present invention are as follows: The Micro Chip Display Outdoor Environment Adaptive System provided by this invention includes: The acquisition module is used to acquire ambient optical parameters, wherein the ambient optical parameters include the illumination distribution on the display surface and the temperature distribution at the pixel position; The modeling module receives environmental optical parameters from the acquisition module and constructs a thermodynamic relationship model containing adjustable weight parameters based on the difference in thermal expansion coefficients of red, green and blue sub-pixels. The thermodynamic relationship model describes the mapping relationship between driving current and temperature change and chromaticity shift, and generates thermal constraint information containing the maximum safe driving current threshold of the partition under different brightness targets. The optimization module receives thermal constraint information from the modeling module and target brightness instructions from external input. It encodes the driving current combination, partition weight coefficient, and blue light gain coefficient into gene fragments. It then uses a genetic algorithm to perform selection, crossover, and mutation operations with the optimization objective of minimizing color difference and temperature variance to generate candidate driving parameters. The verification module receives candidate driving parameters from the optimization module, simulates the heat conduction process through finite element simulation, predicts the chromaticity coordinate distribution and temperature rise gradient, and selects parameters with color difference less than a preset threshold and temperature rise gradient that meet safety standards as verified driving parameters. The execution module loads the verification-driven parameters from the verification module, divides the screen into temperature control areas, dynamically adjusts the refresh rate and duty cycle of each area, initiates a sub-pixel rotation strategy for high-temperature areas, and increases the output brightness of cool-toned pixels in adjacent areas. The feedback module captures the actual display colorimetric data output by the execution module through a spectral sensor, calculates the color difference between the preset color coordinates and the measured color coordinates, and transmits the corrected coefficients for the thermodynamic relationship model parameters to the modeling module when the color difference exceeds the preset upper limit for multiple consecutive frames.

[0006] Furthermore, in the Micro Chip display outdoor environment adaptive system of the present invention, the acquisition module is configured as follows: A light sensor array captures the light distribution on the display surface; Thermal imaging detectors measure the temperature distribution at pixel locations; The synchronization device aligns the sampling timestamps of the light sensor array and the thermal imaging detector, integrates the illumination distribution and the temperature distribution into a coordinate-bound temperature and illuminance data matrix, and transmits the environmental optical parameters to the modeling module.

[0007] Furthermore, in the Micro Chip display outdoor environment adaptive system of the present invention, the modeling module includes: The coefficient loading module calls the thermal expansion coefficients of the red, green, and blue sub-pixels in the material database; The differential calculation module calculates the temperature rise gradient caused by the driving power based on the thermal expansion coefficients of the red, green and blue sub-pixels, the thermal coupling distance between pixels and the thermal conductivity of the substrate. Based on the heat sink efficiency and the temperature rise gradient, the constraint generation module generates the maximum safe drive current threshold for different brightness targets and transmits the thermal constraint information to the optimization module.

[0008] Furthermore, in the Micro Chip display outdoor environment adaptive system of the present invention, the optimization module is configured as follows: The driving current combination, partition weight coefficient, and blue light gain coefficient in the thermal constraint information transmitted by the modeling module are encoded into binary bits respectively. The binary bits of the driving current combination, partition weight coefficient, and blue light gain coefficient are combined to generate chromosome gene fragments; The candidate driver parameters are generated by performing selection, crossover, and mutation operations on the chromosome gene segments using a genetic algorithm.

[0009] Furthermore, in the Micro Chip display outdoor environment adaptive system of the present invention, the optimization module is further configured to: Calculate the fitness value of the current chromosome gene segment, where the fitness value is the weighted sum of the color difference index and the temperature variance; The individual with the highest fitness value is retained as the elite chromosome; Perform crossover and mutation operations on non-elite chromosomes to generate a new population, iterate until convergence, and output the candidate driving parameters to the verification module.

[0010] Furthermore, in the Micro Chip display outdoor environment adaptive system of the present invention, the verification module is configured as follows: The display surface will be divided into a geometric mesh; The candidate driving parameters are injected into the geometric mesh to calculate the Joule thermal distribution and thermal deformation photon shift. The chromaticity coordinate distribution prediction results are generated based on thermally deformed photon migration. The chromaticity error prediction cloud map is output to the verifier for filtering and verifying the driving parameters.

[0011] Furthermore, in the Micro Chip display outdoor environment adaptive system of the present invention, the execution module is configured to: Map the screen temperature control area to the physical drive channel; Based on the verified driving parameters, the sub-pixel rotation duty cycle is set in the high-temperature area, and the brightness of blue pixels is increased in the adjacent area. The driving waveform timing signal is generated and transmitted to the screen driver to perform display output.

[0012] Furthermore, in the Micro Chip display outdoor environment adaptive system of the present invention, the feedback module includes: The spectral sensor captures the actual displayed spectral data at a preset frame rate; The residual analysis device module receives the actual spectral data and calculates the color difference index between the measured color coordinates and the preset color coordinates of each partition; When the model update module detects that the color difference of multiple consecutive frames exceeds the preset upper limit, it corrects the thermal expansion coefficient of the thermodynamic relationship model and transmits the corrected coefficient to the modeling module.

[0013] Furthermore, the Micro Chip display outdoor environment adaptive system of the present invention further includes: the sub-pixel rotation strategy of the execution module to reduce heat accumulation in high-temperature areas, and the residual analysis device module of the feedback module to monitor the actual color drift offset. When the color drift offset exceeds the threshold, the model update module corrects the thermodynamic relationship model parameters, drives the modeling module to update the thermal constraint information, and improves the accuracy of the candidate driving parameters generated by the optimization module.

[0014] Furthermore, the Micro Chip display outdoor environment adaptive system of the present invention further includes: the verification result of the verification module identifies invalid candidate driving parameters, and the optimization module receives the invalid parameter features; In the genetic algorithm iteration, the crossover and mutation probability is adjusted to avoid similar parameter combinations, which is used to improve the pass rate of subsequently generated candidate driving parameters in the verification module.

[0015] Beneficial effects of this invention; The Micro Chip display outdoor environment adaptive system of this invention achieves multiple beneficial effects through a closed-loop architecture of environmental perception and intelligent control: Based on the spatiotemporal synchronous acquisition of light sensor arrays and thermal imaging detectors, a pixel-level temperature-illuminance fusion data matrix is ​​generated, enabling the thermodynamic relationship model to accurately quantify the material thermal expansion effect and color shift correlation caused by the driving current input; a genetic algorithm encodes heat dissipation constraints and color difference suppression targets into chromosome gene fragments, iteratively optimizing the output driving parameter combination, breaking through the efficiency bottleneck of traditional trial-and-error parameter tuning; finite element simulation pre-enacts the thermal deformation photon shift effect in a virtual environment, screening feasible solutions that meet color tolerance and temperature rise safety thresholds, avoiding physical execution risks; the partitioned dynamic control strategy of the execution module disperses heat accumulation in the spatial dimension and implements sub-pixel rotation and dormancy in the temporal dimension, combined with cool tone compensation to balance the visual color temperature; spectral feedback data drives the real-time evolution of thermodynamic model parameters, enabling the system to continuously adapt to environmental disturbances and material aging, forming a self-learning compensation mechanism for thermal characteristics. This collaborative control system suppresses local temperature rise gradients at the physical level and dynamically corrects thermally induced color drift at the optical level, ensuring the original color accuracy and information recognition reliability of the display unit in outdoor high-brightness output scenarios. Attached Figure Description

[0016] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on the drawings without creative effort.

[0017] Figure 1This is a system architecture diagram of the Micro Chip display screen outdoor environment adaptive system provided in an embodiment of the present invention. Detailed Implementation

[0018] To make the technical solution of the present invention clearer, the present invention will be clearly and completely described below with reference to specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. The present invention provided by various embodiments will be described in detail below with reference to the accompanying drawings. To better understand the purpose of the present invention, the present invention will be described in further detail below.

[0019] Please see Figure 1 The present invention provides an outdoor environment adaptive system for Micro Chip displays, comprising: The acquisition module is used to acquire ambient optical parameters, wherein the ambient optical parameters include the illumination distribution on the display surface and the temperature distribution at the pixel position; The modeling module receives environmental optical parameters from the acquisition module and constructs a thermodynamic relationship model containing adjustable weight parameters based on the difference in thermal expansion coefficients of red, green and blue sub-pixels. The thermodynamic relationship model describes the mapping relationship between driving current and temperature change and chromaticity shift, and generates thermal constraint information containing the maximum safe driving current threshold of the partition under different brightness targets. The optimization module receives thermal constraint information from the modeling module and target brightness instructions from external input. It encodes the driving current combination, partition weight coefficient, and blue light gain coefficient into gene fragments. It then uses a genetic algorithm to perform selection, crossover, and mutation operations with the optimization objective of minimizing color difference and temperature variance to generate candidate driving parameters. The verification module receives candidate driving parameters from the optimization module, simulates the heat conduction process through finite element simulation, predicts the chromaticity coordinate distribution and temperature rise gradient, and selects parameters with color difference less than a preset threshold and temperature rise gradient that meet safety standards as verified driving parameters. The execution module loads the verification-driven parameters from the verification module, divides the screen into temperature control areas, dynamically adjusts the refresh rate and duty cycle of each area, initiates a sub-pixel rotation strategy for high-temperature areas, and increases the output brightness of cool-toned pixels in adjacent areas. The feedback module captures the actual display colorimetric data output by the execution module through a spectral sensor, calculates the color difference between the preset color coordinates and the measured color coordinates, and transmits the corrected coefficients for the thermodynamic relationship model parameters to the modeling module when the color difference exceeds the preset upper limit for multiple consecutive frames.

[0020] The acquisition module captures the ambient light intensity distribution through an array of light sensors covering the surface of the display screen, while simultaneously measuring pixel-level temperature distribution using a thermal imaging detector. A synchronization device aligns the sampling times of the light and temperature data, generating a spatially bound temperature and illuminance matrix, and transmits standardized environmental optical parameters to the modeling module.

[0021] After receiving the environmental optical parameters, the modeling module calls upon the thermal expansion coefficients of the red, green, and blue sub-pixels from the materials database. The differential calculation device establishes a quantitative model of the relationship between driving current and temperature change based on the differences in sub-pixel thermal expansion coefficients, the thermal coupling distance between pixels, and the substrate's thermal conductivity. This model describes the photon wavelength shift effect caused by temperature rise through thermodynamic equations, outputting the maximum safe driving current threshold for each display zone under different brightness targets, thus forming the thermal constraint information that is transmitted to the optimization module.

[0022] The optimization module encodes the driving current value, partition brightness weight coefficient, and blue light compensation coefficient from the thermal constraint information into binary gene fragments. The genetic algorithm combines these gene fragments into a chromosome population, aiming to minimize the color difference index and temperature distribution variance. It generates a new generation population by selecting the chromosome with the highest fitness and performing crossover, recombination, and site mutation operations. After iterative convergence, candidate driving parameters are output to the verification module.

[0023] The verification module segments the substrate geometry into a finite element mesh. Candidate driving parameters are injected into the mesh for multiphysics coupled simulation, calculating the material deformation caused by Joule thermal distribution, and then deriving the photon emission angle shift due to thermal deformation. Based on the shift, the chromaticity coordinate error distribution is predicted, and parameters that meet the chromaticity tolerance standard and whose temperature rise gradient is below the heat dissipation limit are selected as the verification driving parameters.

[0024] The execution module maps the physical area of ​​the screen to an independent temperature control channel. After loading and verification, the driver parameters dynamically configure the refresh rate and pulse width modulation duty cycle of each channel, initiate a sub-pixel rotation sleep strategy for the temperature warning area, and simultaneously increase the output brightness of blue light pixels in adjacent areas for visual compensation, generating a driver waveform signal to control the screen display.

[0025] The feedback module captures the actual output spectrum of the screen through a high-speed spectral sensor. The residual analysis device calculates the color difference index between the preset color coordinates and the measured values ​​by zone. When the color difference exceeds the tolerance threshold for multiple consecutive frames, the weight of the thermal expansion coefficient in the thermodynamic relationship model is corrected in reverse. The updated model coefficients are sent back to the modeling module to reconstruct the thermal constraint information, forming a closed-loop control.

[0026] Specifically, in the Micro Chip display outdoor environment adaptive system of the present invention, the acquisition module is configured as follows: A light sensor array captures the light distribution on the display surface; Thermal imaging detectors measure the temperature distribution at pixel locations; The synchronization device aligns the sampling timestamps of the light sensor array and the thermal imaging detector, integrates the illumination distribution and the temperature distribution into a coordinate-bound temperature and illuminance data matrix, and transmits the environmental optical parameters to the modeling module.

[0027] An array of light sensors covers preset zones on the display screen surface, capturing spatial distribution data of ambient light intensity. A thermal imaging detector, matched to the pixel pitch resolution, simultaneously acquires pixel-level temperature distribution maps. A synchronization device aligns the timestamps of the light and temperature data at the millisecond level, integrating them to generate a spatially coordinate-bound temperature and illuminance data matrix. This matrix contains location coordinates and corresponding physical quantity measurements, transmitting standardized environmental optical parameters to the modeling module.

[0028] Specifically, the modeling module of the Micro Chip display outdoor environment adaptive system of the present invention includes: The coefficient loading module calls the thermal expansion coefficients of the red, green, and blue sub-pixels in the material database; The differential calculation module calculates the temperature rise gradient caused by the driving power based on the thermal expansion coefficients of the red, green and blue sub-pixels, the thermal coupling distance between pixels and the thermal conductivity of the substrate. Based on the heat sink efficiency and the temperature rise gradient, the constraint generation module generates the maximum safe drive current threshold for different brightness targets and transmits the thermal constraint information to the optimization module.

[0029] The coefficient loading device calls a pre-stored material database to obtain the inherent thermal expansion coefficients of the red, green, and blue sub-pixels. The differential calculation device constructs a discretized heat conduction equation based on the difference in the thermal expansion coefficients of the sub-pixels, the thermal coupling distance between pixels, and the substrate's thermal conductivity parameters, calculating the local temperature rise gradient caused by a unit drive power input. The constraint generation device, considering the heat sink's cooling efficiency, converts the temperature rise gradient limit into the maximum allowable drive current threshold for each display zone, generating thermal constraint information that is transmitted to the optimization module.

[0030] Specifically, in the Micro Chip display outdoor environment adaptive system of the present invention, the optimization module is configured as follows: The driving current combination, partition weight coefficient, and blue light gain coefficient in the thermal constraint information transmitted by the modeling module are encoded into binary bits respectively. The binary bits of the driving current combination, partition weight coefficient, and blue light gain coefficient are combined to generate chromosome gene fragments; The candidate driver parameters are generated by performing selection, crossover, and mutation operations on the chromosome gene segments using a genetic algorithm.

[0031] The optimization module extracts three parameters from the thermal constraint information transmitted by the modeling module: the combined value of the driving current, the partition brightness weight coefficient, and the blue light gain compensation coefficient. Each parameter value is converted into a binary encoded sequence, and these sequences are combined to generate chromosome gene fragments. A genetic algorithm is used to select gene fragments with high fitness, and a two-point crossover operation is performed to recombine the gene sequences. Non-uniform mutation is introduced to expand the search space, iteratively generating a set of candidate driving parameters.

[0032] Specifically, in the Micro Chip display outdoor environment adaptive system of the present invention, the optimization module is further configured to: Calculate the fitness value of the current chromosome gene segment, where the fitness value is the weighted sum of the color difference index and the temperature variance; The individual with the highest fitness value is retained as the elite chromosome; Perform crossover and mutation operations on non-elite chromosomes to generate a new population, iterate until convergence, and output the candidate driving parameters to the verification module.

[0033] The fitness calculation device evaluates the color difference index and temperature distribution variance corresponding to the chromosome gene segments, and calculates a weighted sum as the fitness value according to preset weights. The iterative control device retains the elite chromosome individuals with the highest fitness values ​​in each generation and directly enters the next generation. For non-elite chromosomes, a crossover probability adaptive recombination operation is performed, combined with a site flipping operation with adjustable mutation probability to generate a new population. When the population converges or reaches the maximum number of iterations, the optimal candidate driving parameters are output to the verification module.

[0034] Specifically, in the Micro Chip display outdoor environment adaptive system of the present invention, the verification module is configured as follows: The display surface will be divided into a geometric mesh; The candidate driving parameters are injected into the geometric mesh to calculate the Joule thermal distribution and thermal deformation photon shift. The chromaticity coordinate distribution prediction results are generated based on thermally deformed photon migration. The chromaticity error prediction cloud map is output to the verifier for filtering and verifying the driving parameters.

[0035] The verification module discretizes the three-dimensional structure of the display substrate into tetrahedral mesh elements. Current distribution data corresponding to candidate driving parameters is injected into the mesh elements, and the thermal expansion deformation caused by Joule heating of the current is calculated. The photon emission angle offset is derived based on the degree of material deformation and mapped to the chromaticity space to generate a predicted chromaticity coordinate distribution map. The verifier compares the predicted chromatic difference corresponding to the parameter to be verified with a preset tolerance threshold, and selects the driving parameters that pass verification.

[0036] Specifically, in the Micro Chip display outdoor environment adaptive system of the present invention, the execution module is configured to perform the following: Map the screen temperature control area to the physical drive channel; Based on the verified driving parameters, the sub-pixel rotation duty cycle is set in the high-temperature area, and the brightness of blue pixels is increased in the adjacent area. The driving waveform timing signal is generated and transmitted to the screen driver to perform display output.

[0037] The execution module divides the physical screen area into temperature-controlled sub-regions based on the channel capacity of the driver integrated circuit. After loading and verifying the refresh rate command and pulse width modulation duty cycle value in the driver parameters, it configures a frame-stopping strategy for the red sub-pixels in the temperature warning area, while simultaneously increasing the brightness output value of the blue sub-pixels in the adjacent area. The signal conversion device converts the control commands into drive waveform timing signals, which are then transmitted to the screen driver to execute pixel-level current output.

[0038] Specifically, the feedback module of the Micro Chip display outdoor environment adaptive system of the present invention includes: The spectral sensor captures the actual displayed spectral data at a preset frame rate; The residual analysis device module receives the actual spectral data and calculates the color difference index between the measured color coordinates and the preset color coordinates of each partition; When the model update module detects that the color difference of multiple consecutive frames exceeds the preset upper limit, it corrects the thermal expansion coefficient of the thermodynamic relationship model and transmits the corrected coefficient to the modeling module.

[0039] A spectral sensor acquires the actual spectral radiation data output from the screen at a high frame rate. A residual analysis device extracts the measured color coordinate values ​​of each zone and calculates the CIEDE2000 color difference index by comparing them with preset standard color coordinates. A model update device monitors multiple consecutive frames of color difference data streams; when the color difference index continuously exceeds a set upper limit, it reverse-corrects the weight value of the thermal expansion coefficient in the thermodynamic relationship model and transmits the updated coefficient to the modeling module.

[0040] Specifically, the Micro Chip display outdoor environment adaptive system of the present invention further includes: the sub-pixel rotation strategy of the execution module to reduce heat accumulation in high-temperature areas, and the residual analysis device module of the feedback module to monitor the actual color drift offset. When the color drift offset exceeds the threshold, the model update module corrects the thermodynamic relationship model parameters, drives the modeling module to update the thermal constraint information, and improves the accuracy of the candidate driving parameters generated by the optimization module.

[0041] The execution module's subpixel rotation sleep strategy disperses the heat accumulation effect in high-temperature regions, reducing local temperature peaks. The feedback module's residual analysis device monitors the resulting color drift offset in real time. When the color drift offset exceeds the tolerance threshold, the model update device dynamically corrects the thermodynamic relationship model parameters, driving the modeling module to reconstruct thermal constraint information and improving the color accuracy of the candidate driving parameters generated by the optimization module.

[0042] Specifically, the Micro Chip display outdoor environment adaptive system of the present invention further includes: the verification result of the verification module identifies invalid candidate driving parameters, and the optimization module receives the invalid parameter features; In the genetic algorithm iteration, the crossover and mutation probability is adjusted to avoid similar parameter combinations, which is used to improve the pass rate of subsequently generated candidate driving parameters in the verification module.

[0043] The verification module's validator marks invalid candidate driver parameter feature codes that result in excessive color difference or excessive temperature rise. The optimization module receives statistical distribution data of invalid parameter features and reduces the crossover probability of similar coding patterns during the genetic algorithm iteration process, increasing the perturbation strength of the mutation operator on high-risk gene fragments. This avoids the invalid parameter space and improves the verification pass rate of newly generated candidate driver parameters.

[0044] The Micro Chip display outdoor environment adaptive system addresses color drift caused by pixel-level temperature rise through a multi-level collaborative control mechanism. The system first captures ambient light distribution using an array of light sensors covering the display surface, simultaneously measuring the temperature distribution at pixel locations using a thermal imaging detector. This spatiotemporal alignment generates a coordinate-bound temperature-illuminance data matrix. The modeling module utilizes the thermal expansion coefficients of the red, green, and blue sub-pixels, combined with the inter-pixel thermal coupling distance and substrate thermal conductivity, to establish a thermodynamic relationship model. This model quantitatively describes the temperature rise gradient induced by the driving current input and its effect on photon wavelength shift, generating a maximum safe driving current threshold for each zone as a thermal constraint boundary.

[0045] The optimization module encodes the driving current combination, partition weight coefficient, and blue light gain coefficient within the thermally constrained boundary as chromosome gene fragments. A genetic algorithm is then used to perform multi-generational selection, crossover, and mutation operations with the optimization objective of minimizing color difference and temperature variance, outputting candidate driving parameters that balance heat dissipation and color accuracy. The verification module injects candidate parameters into a virtual environment through finite element simulation, calculates the thermal deformation photon shift caused by Joule thermal distribution, predicts the chromaticity coordinate error distribution, and filters parameters that meet safety standards. The execution module divides the screen into temperature-controlled zones, dynamically configures the refresh rate and duty cycle based on the verification parameters, initiates a sub-pixel rotation sleep strategy in high-temperature areas to disperse heat accumulation, and simultaneously increases the brightness of blue light pixels in adjacent areas to compensate for color temperature shift.

[0046] The feedback module captures real-time spectral data of the displayed image using a spectral sensor and calculates the color difference index between preset color coordinates and measured values ​​for each region. When the color difference exceeds the tolerance threshold for multiple consecutive frames, the system determines that the thermodynamic model is mismatched with the actual operating conditions, corrects the model's thermal expansion coefficient weights, and updates the thermal constraint information. This closed-loop control architecture continuously converges the temperature rise gradient and color drift, suppressing color drift caused by the thermosensitive properties of inorganic semiconductor materials through physical-level thermal distribution optimization and optical-level dynamic compensation, maintaining the original color accuracy of the display unit, and ensuring the accuracy of information recognition in scenarios such as outdoor billboards.

Claims

1. A Micro Chip display screen outdoor environment adaptive system, characterized in that, The method comprises the following steps: a collection module is configured to acquire environmental optical parameters, wherein the environmental optical parameters include a light distribution of a display surface and a temperature distribution of pixel positions; a modeling module is configured to receive the environmental optical parameters from the collection module, to construct a thermodynamic relationship model containing adjustable weight parameters according to differences in thermal expansion coefficients of red, green and blue sub-pixels, to describe a mapping relationship between driving current and temperature change and chromaticity shift, and to generate thermal constraint information containing maximum safe driving current thresholds of sub-regions under different brightness targets; an optimization module is configured to receive the thermal constraint information from the modeling module and target brightness instructions input from outside, to encode driving current combinations, sub-region weight coefficients and blue light gain coefficients into gene fragments, to perform selection, crossover and mutation operations by using a genetic algorithm to minimize chromatic aberration and temperature variance, and to generate candidate driving parameters; a verification module is configured to receive the candidate driving parameters from the optimization module, to simulate a heat conduction process by using finite element simulation, to predict chromaticity coordinate distribution and temperature rise gradient, and to select parameters with chromatic aberration less than a preset threshold and temperature rise gradient meeting safety standards as verified driving parameters; an execution module is configured to load the verified driving parameters from the verification module, to divide a screen into temperature control regions, to dynamically adjust refresh frequency and duty cycle of each region, to start a sub-pixel rotation strategy for a high-temperature region and to increase luminance of cold-tone pixel output to adjacent regions; a feedback module is configured to capture actual display chromaticity data after output of the execution module by using a spectrum sensor, to calculate chromatic aberration between preset color coordinates and measured color coordinates, and to transmit coefficients for correcting the thermodynamic relationship model parameters to the modeling module when chromatic aberration of continuous multiple frames exceeds a preset upper limit.

2. The Micro Chip display screen outdoor environment adaptive system according to claim 1, wherein, The collection module is configured to: a photosensitive sensor array is configured to capture the light distribution of the display surface; a thermal imaging detector is configured to measure the temperature distribution of the pixel positions; a synchronization device is configured to align sampling time stamps of the photosensitive sensor array and the thermal imaging detector, to integrate the light distribution and the temperature distribution into temperature and illumination data matrixes bound by coordinates, and to transmit the environmental optical parameters to the modeling module.

3. The Micro Chip display screen outdoor environment adaptive system of claim 1, wherein, The modeling module comprises: a coefficient loading module is configured to call thermal expansion coefficients of red, green and blue sub-pixels in a material database; a difference calculation module is configured to calculate temperature rise gradient caused by driving power according to the thermal expansion coefficients of the red, green and blue sub-pixels, a thermal coupling distance between pixels and a substrate thermal conductivity; 4. The Micro Chip display screen outdoor environment adaptive system of claim 1, wherein, a constraint generation module is configured to generate maximum safe driving current thresholds of sub-regions under different brightness targets based on a heat sink efficiency and the temperature rise gradient, and to transmit the thermal constraint information to the optimization module. The optimization module is configured to: encode driving current combinations, sub-region weight coefficients and blue light gain coefficients in the thermal constraint information transmitted by the modeling module into binary bits, respectively; combine the binary bits of the driving current combinations, the sub-region weight coefficients and the blue light gain coefficients to generate chromosome gene fragments; 5. The Micro Chip display screen outdoor environment adaptive system of claim 4, wherein, perform selection, crossover and mutation operations on the chromosome gene fragments by using a genetic algorithm to generate the candidate driving parameters. The optimization module is further configured to: calculate fitness values of current chromosome gene fragments, wherein the fitness values are weighted sums of chromatic aberration indicators and temperature variances. The individual with the highest fitness value is reserved as an elite chromosome; The non-elite chromosomes are subjected to crossover and mutation operations to generate a new population, and iteration is performed until convergence, and the candidate driving parameters are output to the verification module.

6. The Micro Chip display screen outdoor environment adaptive system according to claim 1, wherein, The verification module is configured to: divide the display surface into a geometric grid; inject the candidate driving parameters into the geometric grid, calculate the joule heat distribution and thermal deformation photon shift; generate a chromaticity coordinate distribution prediction result according to the thermal deformation photon shift; output the chromaticity error prediction cloud chart to the checker for screening verified driving parameters.

7. The Micro Chip display screen outdoor environment adaptive system of claim 1, wherein, The execution module is configured to map the screen temperature control area to the physical driving channel; According to the verified driving parameters, set the sub-pixel rotation duty cycle in the high-temperature area, and increase the brightness of the blue pixels in the adjacent area, generate a driving waveform timing signal and transmit it to the screen driver for display output.

8. The Micro Chip display screen outdoor environment adaptive system of claim 1, wherein, The feedback module includes: The spectral sensor captures actual display spectrum data at a preset frame rate; The residual analysis device module receives the actual spectrum data, calculates the color difference index of each partition measured color coordinate and the preset color coordinate; When detecting that the color difference of continuous multiple frames exceeds the preset upper limit, the model updating module corrects the thermal expansion coefficient of the thermodynamic relationship model, and transmits the corrected coefficient to the modeling module.

9. The Micro Chip display screen outdoor environment adaptive system of claim 1, wherein, Further comprising: The sub-pixel rotation strategy of the execution module reduces the thermal accumulation in the high-temperature area, and the residual analysis device module of the feedback module monitors the actual color drift offset; When the color drift offset exceeds the threshold, the model updating module corrects the parameters of the thermodynamic relationship model, drives the modeling module to update the thermal constraint information, and improves the accuracy of the candidate driving parameters generated by the optimization module.

10. The Micro Chip display screen outdoor environment adaptive system according to claim 1, wherein, Further comprising: The verification result of the verification module identifies invalid candidate driving parameters, and the optimization module receives the invalid parameter characteristics; Adjust the crossover and mutation probability in the genetic algorithm iteration to avoid similar parameter combinations, which is used to improve the pass rate of the subsequently generated candidate driving parameters in the verification module.

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