Display equipment brightness and color temperature control system based on ambient light adaptive adjustment

Abstract

The invention belongs to the technical field of display equipment optimization, and discloses a display equipment brightness and color temperature control system based on ambient light adaptive adjustment, and the system comprises the steps: collecting multi-sensor data, constructing a polarization responsibility domain matrix, and generating a salt mist scattering field intensity graph; acquiring a solar altitude, and when the altitude meets an abnormal triggering condition, triggering low-angle light field reconstruction, generating an angle-region suppression mapping table, calculating a light compensation coefficient, and generating a suppression-compensation dual-channel instruction set; analyzing instruction conflicts, generating a driving instruction chain, and executing dynamic dimming; calculating a credibility index, freezing a partition voucher and activating a security mode when an abnormal state is triggered, and generating a verification report; and updating a polarization responsibility domain matrix, calibrating a salt mist scattering field intensity graph, optimizing an angle-region suppression mapping table, generating a new generation of control parameter set, and refreshing a final driving instruction chain.

Description

Technical Field

[0001] The present invention relates to the technical field of display device optimization, and more particularly to a display device brightness and color temperature control system based on ambient light adaptive adjustment. Background Art

[0002] With the increasing use of display devices in complex environments such as offshore platforms and ports, image quality is increasingly affected by environmental parameters such as salt spray concentration and polarized light reflected from the water surface. However, current display control technology faces multiple challenges: traditional static control strategies cannot adapt to dynamic environmental changes (such as sudden changes in salt spray concentration and fluctuations in solar altitude), resulting in a decrease in image visual quality; resource allocation logic is rigid and unable to dynamically respond to partition anomalies or safety mode switching requirements, resulting in command conflicts or execution delays; and abnormal state determination relies on a single threshold (such as a fixed color difference value), resulting in a high rate of false positives.

[0003] Although existing solutions use methods such as multi-source data fusion, they still have obvious defects: first, environmental perception relies on a single sensor (such as a brightness sensor), which cannot fully monitor the salt spray concentration gradient and polarized light intensity, resulting in a lag in the control strategy; second, the suppression-compensation instruction generation logic is static and cannot dynamically reconstruct the light field according to the solar altitude angle, and the interference suppression effect of low-angle incident light is poor; finally, the anomaly judgment and security mode switching mechanism is missing. When the environment is abnormal, it is impossible to freeze the credentials and activate the default parameters, which poses a risk of system crash. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the prior art and to achieve the above-mentioned objectives, the present invention provides the following technical solution: a display device brightness and color temperature control system based on ambient light adaptive adjustment, comprising:

[0005] Environmental perception unit: This unit collects the intensity distribution and main angle vector of polarized light reflected from the water surface in real time, and simultaneously obtains salt fog concentration gradient data. It then calculates the contribution weight of direct light, constructs a polarization responsibility domain matrix, and generates a salt fog scattering field intensity map based on the attenuation of the blue light band.

[0006] Suppression compensation generation unit: Based on the polarization responsibility domain matrix and salt fog scattering field intensity map, the solar altitude angle is obtained. When the altitude angle meets the abnormal trigger condition, the low-angle light field reconstruction is triggered and an angle-region suppression mapping table is generated. The light compensation coefficients of different regions are then dynamically calculated based on the salt fog scattering field intensity map to generate a suppression-compensation dual-channel instruction set.

[0007] Credential arbitration and execution unit: Generates polarization suppression credentials and salt spray compensation credentials based on the angle-region suppression mapping table and the suppression-compensation dual-channel instruction set. It resolves instruction conflicts through the credential conflict arbitration mechanism, generates a drive instruction chain, and then triggers the partitioned execution of dynamic dimming.

[0008] Verification and control unit: This unit collects the display image after adjusting the display parameters and generates a partitioned color difference vector based on a physical color card benchmark comparison. It also calculates a credibility index based on the salt spray concentration change rate and polarization angle drift. If the partitioned color difference vector or credibility index does not meet the normal state, the corresponding partition credentials are frozen, the preset security mode is activated, and a verification report is generated simultaneously.

[0009] Parameter update unit: Based on historical verification reports, it updates the polarization responsibility domain matrix, calibrates the salt spray scattering field intensity map, optimizes the angle-area suppression mapping table, generates a new generation of control parameter sets, and refreshes the final drive instruction chain.

[0010] Furthermore, the polarization responsibility domain matrix is ​​constructed in the following manner:

[0011] Deploy a four-directional polarization sensor array to continuously collect the intensity distribution and main angle vector of polarized light reflected from the water surface;

[0012] Synchronously collect and display the concentration value of the space where the equipment is located to obtain salt spray concentration gradient data;

[0013] Filter and normalize the collected polarized light intensity distribution, main angle vector, and salt spray concentration gradient data, and align the timestamps;

[0014] Obtain the main polarization direction of sunlight and display equipment, and then divide the polarized light intensity distribution into four responsibility areas;

[0015] Calculate the angle difference between the polarization sensor angle of each responsibility domain and the main polarization direction of the sun to obtain the direct light contribution weight;

[0016] The direct light contribution weight and the polarized light intensity are weighted together to calculate the responsibility weight. The responsibility weights of all responsibility domains are superimposed and normalized to generate the polarization domain weight value of each image point and integrate it into the polarization responsibility domain matrix.

[0017] Furthermore, the method for generating the salt fog scattering field intensity map includes:

[0018] Based on the salt spray concentration gradient data after time stamp alignment, the salt spray concentration gradient data is converted into a two-dimensional gradient map consistent with the resolution of the polarization sensor;

[0019] For each grid point in the two-dimensional gradient map, the blue light attenuation is calculated by combining the salt spray concentration and the attenuation coefficient of the blue light band;

[0020] Set a concentration threshold interval, and divide the grid points into edge area, center area and transition area according to the blue light attenuation in the concentration threshold interval;

[0021] The blue light attenuation at each grid point is mapped to a field intensity value to generate a two-dimensional salt fog scattering field intensity map;

[0022] Preset the color temperature reference values ​​for the edge area and the center area, and calculate the product of the field strength values ​​for the edge area and the center area and the corresponding color temperature reference values ​​as the color temperature offsets for the edge area and the center area;

[0023] For the transition zone, the color temperature offset of the transition zone is calculated based on the relative position of the blue light attenuation in the concentration threshold range and the color temperature offset of the edge zone and the center zone.

[0024] The color temperature offset of each grid point is added to the two-dimensional salt fog scattering field intensity map to generate the final salt fog scattering field intensity map.

[0025] Furthermore, the angle-area suppression mapping table includes:

[0026] All the field intensity values ​​in the salt fog scattering field intensity map are integrated into the salt fog scattering field intensity matrix. The comprehensive suppression factor matrix is ​​calculated by combining the polarization responsibility domain matrix and the salt fog scattering field intensity matrix.

[0027] Set the inhibition threshold interval, and divide the grid points corresponding to each comprehensive inhibition factor in the comprehensive inhibition factor matrix into inhibition area types, including high inhibition area, medium inhibition area or low inhibition area, according to the inhibition threshold interval, thereby generating an inhibition area matrix;

[0028] Obtain the solar altitude angle of the display device in the area, preset an altitude angle threshold, and when the altitude angle is less than the altitude angle threshold, determine that the abnormal trigger condition is met, triggering low-angle light field reconstruction, including: capturing grid point light field information and reconstructing light field data;

[0029] For each grid point, based on the inhibition area type and solar incident angle in the inhibition area matrix, the light intensity distribution corresponding to the incident angle is matched from the reconstructed light field data;

[0030] According to the matched grid points, the solar incident angle is divided into discrete intervals to obtain different incident angle intervals, and then inhibition weights are assigned to different inhibition area types and corresponding incident angle intervals;

[0031] The area type, incident angle interval and suppression weight of all grid points are integrated to generate an angle-area suppression mapping table.

[0032] Furthermore, the generation method of the suppression-compensation dual-channel instruction set includes:

[0033] According to the salt fog scattering field intensity map, the regional gain coefficients are set for the edge area, central area and transition area respectively, and then the light compensation coefficient of each grid point is calculated according to the field intensity value and the regional gain coefficient;

[0034] Combining the suppression weight and the comprehensive suppression factor, the brightness suppression factor of each grid point is calculated as the suppression channel instruction of the display device;

[0035] The brightness compensation factor of each grid point is calculated based on the light compensation coefficient and field intensity value of the grid point;

[0036] The color temperature compensation factor is calculated based on the color temperature offset of the grid point and the maximum allowable color temperature offset of the display device;

[0037] Mapping the grid points to the pixels of the display device according to the grid point range and the physical size of the display device;

[0038] Then, the color temperature of the RGB components of the pixel is adjusted according to the color temperature compensation factor;

[0039] The brightness compensation factor and the RGB components after color temperature adjustment are used as compensation channel instructions;

[0040] Integrate the suppression channel instructions and compensation channel instructions of all pixel points corresponding to the grid points to generate a suppression-compensation dual-channel instruction set.

[0041] Furthermore, the polarization suppression certificate and the salt spray compensation certificate are generated in the following manner:

[0042] Based on the angle-area suppression mapping table, the suppression priority of each grid point is dynamically assigned according to the suppression weight;

[0043] Integrate the network point coordinates, area type, incident angle interval, suppression weight, comprehensive suppression factor and suppression priority of the network point to generate a polarization suppression certificate, and integrate the polarization suppression certificates of all grid points to form a polarization suppression certificate set;

[0044] Based on the suppression-dual-channel instruction set, the compensation priority of each grid point is dynamically assigned according to the light compensation coefficient;

[0045] The grid point coordinates, area type, light compensation coefficient, brightness compensation factor, color temperature compensation factor and compensation priority of the grid point are integrated to generate a salt spray compensation certificate, and the salt spray compensation certificates of all grid points are integrated to form a salt spray compensation certificate set.

[0046] Furthermore, the method of generating a drive instruction chain and triggering the partition to perform dynamic dimming includes:

[0047] The credential conflict arbitration mechanism is defined as follows: Based on the polarization suppression credential set and the salt spray compensation credential set, each grid point is checked to see if it has both polarization suppression credential and salt spray compensation credential. If so, it is marked as a potential conflict area. The suppression priority and compensation priority are compared to perform priority arbitration on the grid point:

[0048] Priority arbitration is as follows: if the suppression priority is greater than the compensation priority, the suppression operation is performed first; if the compensation priority is greater than the suppression priority, the compensation operation is performed first;

[0049] If the suppression priority and the compensation priority are equal, the weight arbitration step is entered;

[0050] The weight arbitration step is to normalize the comprehensive suppression factor and the brightness compensation factor respectively, use the normalized values ​​as the suppression weight and compensation weight respectively, and compare them, and perform the operation with the larger value first;

[0051] For each pixel, a comprehensive adjustment instruction is generated according to the priority arbitration result of the corresponding grid point, including a brightness adjustment instruction and a color temperature adjustment instruction;

[0052] The comprehensive adjustment instruction is converted into a driving instruction chain, and the dynamic dimming is performed according to the driving instruction chain by the partition controller of the display device.

[0053] Furthermore, the generation method of the partition color difference vector includes:

[0054] Collect the display image of the display device after dynamic dimming, divide the display image into grids consistent with the backlight partitions of the display device, extract the average RGB value of each grid, and bind it to the corresponding backlight partition;

[0055] For each backlight partition bound to the average RGB value, the color difference between the average RGB value and the physical color card reference is calculated, and then the color differences of all backlight partitions are horizontally spliced ​​to form a partition color difference vector.

[0056] Furthermore, the method of freezing the corresponding partition credentials and activating the preset security mode includes:

[0057] Real-time collection of salt fog concentration change rate and polarization angle drift in the space corresponding to the backlight partition;

[0058] For each backlight partition, the credibility index is calculated by combining the salt spray concentration change rate and polarization angle drift;

[0059] The abnormal state determination condition is set as follows: if the credibility index is less than a preset credibility index threshold, or the color difference value of the corresponding backlight partition in the partition color difference vector is greater than a preset maximum color difference value threshold, then it is determined that the corresponding backlight partition is in an abnormal state;

[0060] If there is an abnormal state in the backlight partition, the polarization suppression certificate and salt spray compensation certificate of the corresponding backlight partition will be frozen;

[0061] Defines that when the number of frozen backlight zones exceeds the preset threshold, the safety mode is triggered.

[0062] Furthermore, the generation method of the new generation control parameter set includes:

[0063] According to the historical frozen backlight partition record, the polarization domain weight value of the corresponding regional grid point in the polarization responsibility domain matrix is ​​adjusted;

[0064] At the same time, the salt fog scattering field intensity map is updated according to the salt fog concentration change rate;

[0065] Optimize the incident angle interval division in the angle-area suppression mapping table based on the suppression priority conflict data in the historical verification report;

[0066] The updated polarization responsibility domain matrix, salt fog scattering field intensity map and angle-area suppression mapping table are integrated to generate a new generation of control parameter set, and the suppression-compensation dual-channel instruction set is regenerated based on the new generation of control parameter set.

[0067] The technical effects and advantages of the display device brightness and color temperature control system based on ambient light adaptive adjustment of the present invention are as follows:

[0068] The present invention solves the problems of image quality degradation, response lag and insufficient system reliability of display devices in complex environments through multi-sensor environment modeling, dynamic dimming control and abnormal state verification.

[0069] First, by fusing a four-axis polarization sensor with a salt fog concentration sensor, a polarization responsibility matrix and a salt fog scattering field intensity map are generated. This accurately quantifies the contribution of direct and reflected light and blue light attenuation, overcoming the environmental perception limitations of traditional single sensors.

[0070] Secondly, based on the sun's altitude angle, low-angle light field reconstruction is triggered. Combined with dynamically calculated light compensation coefficients for different regions, a suppression-compensation dual-channel instruction set is generated to achieve millisecond-level dynamic response of display parameters (brightness / color temperature), adapting to sudden changes in salt spray concentration and lighting changes.

[0071] Then, the priority and weight arbitration mechanism resolves command conflicts and generates a drive command chain to ensure high reliability and real-time performance of zoned dynamic dimming, avoiding delays or failures caused by conflicts in traditional control logic.

[0072] Next, based on the dual determination of abnormalities based on the partitioned color difference vector and the credibility index, the credentials are frozen and a security mode (such as fixed brightness / color temperature) is activated, significantly improving system reliability. The verification report generated simultaneously supports subsequent optimization.

[0073] Finally, models and parameters are dynamically updated through historical verification reports, forming a closed loop of "perception-dimming-verification-optimization." This solves the long-term performance degradation problem of traditional technologies and enables the system to continuously maintain optimal display effects in complex environments such as offshore platforms and ports.

[0074] Through full-process optimization, the present invention achieves high adaptability, high reliability and self-optimizing display control capabilities in complex environments. Its technical effects and advantages are significantly superior to existing technologies in terms of environmental adaptability, real-time control accuracy, system reliability and long-term performance optimization, and is suitable for high-demand scenarios such as marine engineering and outdoor displays. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 Schematic diagram of a brightness and color temperature control system for a display device based on adaptive adjustment of ambient light according to the present invention;

[0076] Figure 2 Schematic diagram of the verification and control process of the brightness and color temperature control system of a display device based on ambient light adaptive adjustment of the present invention;

[0077] Figure 3 Schematic diagram of the method for controlling brightness and color temperature of a display device based on adaptive adjustment of ambient light according to the present invention. DETAILED DESCRIPTION

[0078] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0079] Example 1

[0080] See also Figure 1 and Figure 2 As shown, the present invention discloses a display device brightness and color temperature control system based on ambient light adaptive adjustment, including:

[0081] Environmental perception unit: This unit collects the intensity distribution and main angle vector of polarized light reflected from the water surface in real time, and simultaneously obtains salt fog concentration gradient data. It then calculates the contribution weight of direct light, constructs a polarization responsibility domain matrix, and generates a salt fog scattering field intensity map based on the attenuation of the blue light band.

[0082] Suppression compensation generation unit: Based on the polarization responsibility domain matrix and salt fog scattering field intensity map, the solar altitude angle is obtained. When the altitude angle meets the abnormal trigger condition, the low-angle light field reconstruction is triggered and an angle-region suppression mapping table is generated. The light compensation coefficients of different regions are then dynamically calculated based on the salt fog scattering field intensity map to generate a suppression-compensation dual-channel instruction set.

[0083] Credential arbitration and execution unit: Generates polarization suppression credentials and salt spray compensation credentials based on the angle-region suppression mapping table and the suppression-compensation dual-channel instruction set. It resolves instruction conflicts through the credential conflict arbitration mechanism, generates a drive instruction chain, and then triggers the partitioned execution of dynamic dimming.

[0084] Verification and control unit: This unit collects the display image after adjusting the display parameters and generates a partitioned color difference vector based on a physical color card benchmark comparison. It also calculates a credibility index based on the salt spray concentration change rate and polarization angle drift. If the partitioned color difference vector or credibility index does not meet the normal state, the corresponding partition credentials are frozen, the preset security mode is activated, and a verification report is generated simultaneously.

[0085] Parameter update unit: Based on historical verification reports, it updates the polarization responsibility domain matrix, calibrates the salt spray scattering field intensity map, optimizes the angle-area suppression mapping table, generates a new generation of control parameter sets, and refreshes the final drive instruction chain.

[0086] The polarization responsibility domain matrix is ​​constructed in the following ways:

[0087] Deploy a four-directional polarization sensor array (0°, 45°, 90°, and 135°) to cover the multi-angle acquisition requirements of reflected polarized light from the water surface. Mount the sensor on a fixed bracket to ensure alignment with the reflection direction of the water surface. Simultaneously, install multiple salt fog concentration gradient sensors evenly distributed around the display device (for example, arrange four salt fog concentration gradient sensors in a horizontal direction) to ensure coverage of the main salt fog diffusion path for real-time monitoring of the salt fog concentration distribution in the environment.

[0088] Then, perform zero-point calibration on the polarization sensor. That is, in an environment without salt fog interference (such as a laboratory), turn off the ambient light source, and record the zero-point value of the polarization sensor to eliminate ambient light interference (such as white light background in the laboratory).

[0089] At the same time, according to the ASTM B117 standard, the salt spray sensor is calibrated using a salt spray solution of known concentration (such as 5% NaCl solution) to ensure that the concentration measurement range (such as 0–50 mg / m 3 ) and accuracy (such as ±0.5mg / m 3 ) meets the requirements;

[0090] Continuously collect the intensity of polarized light reflected from the water surface at a fixed frequency (e.g., 10 Hz), then record the output values ​​of the four-directional polarization sensor array and save them as time series data as a polarized light intensity distribution (i.e., containing the reflected polarized light intensity at each angle for each image point in the image space);

[0091] It should be noted that the four-axis polarization sensor covers the entire image space, so the polarization light intensity distribution includes the polarization light intensity of each image point in the image space;

[0092] The main polarization direction of the reflected light is calculated by the polarizer rotation method as the main angle vector;

[0093] The concentration values ​​of each salt spray concentration gradient sensor in the space where the display device is located are synchronously collected at a preset recording period (e.g., once every 5 seconds) as salt spray concentration gradient data, and then an interpolation algorithm (e.g., Kriging) is used to generate a two-dimensional salt spray concentration distribution map (x-axis is horizontal distance, y-axis is vertical distance, and z-axis is concentration value);

[0094] The collected polarized light intensity distribution, main angle vector, and salt spray concentration gradient data are filtered (e.g., low-pass filtering to eliminate high-frequency noise) and normalized (mapped to a range of 0–1), and the timestamps are aligned.

[0095] Obtain the principal polarization direction of sunlight and the display device (which can be directly measured by a polarization sensor). Use a rotating platform to adjust the polarization sensor at each angle to be orthogonal to the principal polarization direction of the sun. Then, based on the orthogonal relationship between the polarization sensor and the principal polarization direction of the sun, each image point in the polarized light intensity distribution is divided into four orthogonal extinction responsibility regions.

[0096] It should be noted that the four-directional polarization sensor covers the entire image space, so the polarization response of each image point is dynamically divided into four orthogonal responsibility domains according to the main polarization direction of the sun;

[0097] The angle difference between the polarization sensor angle and the main polarization direction of the sun in each responsibility domain is then calculated (for example, the angle between the 0° sensor and the main polarization direction of the sun is θ, which is the absolute difference between the sensor angle and the main polarization direction of the sun). The direct light contribution weight is then calculated (i.e., the weight ratio of direct light to reflected light is quantified using the cosine square function to ensure that the total weight is 1).

[0098] The formula for calculating the direct light contribution weight is:

[0099] Among them, W k Indicates the direct light contribution weight of the kth polarization sensor angle, k = 1, 2, 3, 4, corresponding to the four polarization sensor angles (0°, 45°, 90°, 135°), Δθ k Indicates the angle difference between the polarization sensor angle and the main polarization direction of the sun; cos 2 (Δθ k ) represents the cosine square relationship between the polarization sensor angle and the main polarization direction of the sun; This means summing the cosine squares of all polarization sensor angles (0°, 45°, 90°, 135°) to ensure that the weights are normalized (the sum is 1).

[0100] The direct light contribution weight and polarized light intensity at the corresponding angle of the responsibility domain are weighted and combined to calculate the responsibility weight. The responsibility weights of all responsibility domains are superimposed and normalized to generate the polarization domain weight value of each image point. The polarization domain weight values ​​of all image points are integrated to form the polarization responsibility domain matrix.

[0101] The calculation method for superposition and normalization is:

[0102] Where P(x,y) represents the polarization domain weight value of each image point (x,y) in the polarization responsibility domain matrix, and W k (x,y) represents the kth responsibility weight of the image point (x,y);

[0103] The way to get the responsibility weight is:

[0104] A proportional factor is set, the proportional factor is multiplied by the direct light contribution weight, the complement of the proportional factor (ie, 1-proportional factor) is multiplied by the polarized light intensity, and the two multiplication results are added to obtain the responsibility weight.

[0105] The generation methods of salt fog scattering field intensity map include:

[0106] Based on the salt spray concentration gradient data after time stamp alignment, the salt spray concentration gradient data is converted into a two-dimensional gradient map consistent with the resolution of the polarization sensor;

[0107] Specifically, the Kriging interpolation or linear interpolation algorithm is used to expand the discrete salt spray concentration data into a two-dimensional gradient distribution grid map, and the grid resolution is kept consistent with the image resolution. That is, each grid point in the grid map corresponds to an image point (the x-axis is the horizontal distance, the y-axis is the vertical distance, and the z-axis is the concentration value);

[0108] For each grid point in the two-dimensional gradient image (because the grid points correspond to the image points one by one, they are also referred to as (x, y)), combined with the salt spray concentration and the attenuation coefficient of the blue light band (450–495 nm) (which can be preset by the Mie scattering model, such as 0.02m -1 ), calculate the blue light attenuation;

[0109] An exemplary formula for calculating blue light attenuation is:

[0110] Where sj is the attenuation coefficient of the blue light band, C salt (x,y) represents the salt spray concentration at the grid point (x,y), and A(x,y) represents the blue light attenuation at the grid point (x,y);

[0111] Set a concentration threshold interval (e.g., [0.5-0.8]), and divide the grid points into edge areas, center areas, and transition areas based on the blue light attenuation according to the concentration threshold interval;

[0112] Specifically, the grid points where the blue light attenuation is greater than the maximum value of the concentration threshold interval are divided into the edge area (corresponding to the high salt fog concentration area); the grid points where the blue light attenuation is less than the minimum value of the concentration threshold interval are divided into the center area (corresponding to the low salt fog concentration area);

[0113] The grid points where the blue light attenuation is less than or equal to the maximum value of the concentration threshold interval and greater than or equal to the minimum value of the concentration threshold interval are divided into transition zones (corresponding to the medium salt fog concentration area between the high concentration and low concentration salt fog areas);

[0114] The blue light attenuation at each grid point is mapped to a field intensity value (such as the range of 0-1) to generate a two-dimensional salt fog scattering field intensity map.

[0115] The angle-area suppression mapping table methods include:

[0116] Preset color temperature reference values ​​for the edge and center areas (e.g., -300K for the edge area and -100K for the center area). Calculate the product of the field strength values ​​for the edge and center areas and the corresponding color temperature reference values, respectively, as the color temperature offset for the edge and center areas (e.g., if the blue light attenuation in the edge area is 0.9, the color temperature offset is -270K; if the blue light attenuation in the center area is 0.4, the offset is -40K).

[0117] For the transition zone, the color temperature offset of the transition zone is calculated based on the relative position of the blue light attenuation in the concentration threshold range and the color temperature offset of the edge zone and the center zone.

[0118] The formula for calculating the color temperature offset in the transition zone is:

[0119]

[0120] Where, ΔT transition Indicates the color temperature offset in the transition zone, ΔT edge Indicates the color temperature offset of the edge area, ΔT center Indicates the color temperature offset of the center area, nd max Indicates the maximum value of the concentration threshold interval, nd min Indicates the minimum value of the concentration threshold interval, It is used to measure the normalized weight (range 0-1) of the blue light attenuation A(x,y) of the grid point (x,y) in the concentration threshold range. represents the reverse weight (range 0-1);

[0121] Add the color temperature offset of each grid point to the two-dimensional salt fog scattering field intensity map to generate the final salt fog scattering field intensity map;

[0122] All the field intensity values ​​in the salt fog scattering field intensity map are integrated into the salt fog scattering field intensity matrix. The comprehensive suppression factor matrix is ​​calculated by combining the polarization responsibility domain matrix and the salt fog scattering field intensity matrix.

[0123] Specifically, the comprehensive inhibition factor is defined as the calculation of the weighted combination of the responsibility domain matrix and the salt fog scattering field intensity matrix. That is, a matrix proportional weight is set, the product of the polarization responsibility domain matrix and the matrix proportional weight is calculated, and then the product of the salt fog scattering field intensity matrix and the complement of the matrix proportional weight (i.e., 1-matrix proportional weight) is calculated. The two products are added together to obtain the comprehensive inhibition factor matrix.

[0124] Set an inhibition threshold interval (e.g., [0.5, 0.8]), and divide the grid points corresponding to each comprehensive inhibition factor in the comprehensive inhibition factor matrix into inhibition region types according to the inhibition threshold interval, including high inhibition region, medium inhibition region, or low inhibition region, and then generate an inhibition region matrix (i.e., the inhibition region type of each grid point is represented by a numerical value, such as high inhibition region = 2, medium inhibition region = 1, and low inhibition region = 0, and then the inhibition region type values ​​of all grid points are integrated into a matrix form);

[0125] Specifically, if the comprehensive inhibition factor is greater than the maximum value of the inhibition threshold interval, it is classified as a high inhibition zone (characterized by high polarization sensitivity and strong salt fog scattering); if the comprehensive inhibition factor is less than the minimum value of the inhibition threshold interval, it is classified as a low inhibition zone (characterized by low polarization sensitivity and weak salt fog scattering); if the comprehensive inhibition factor is greater than or equal to the minimum value of the inhibition threshold interval and less than or equal to the maximum value of the inhibition threshold interval, it is classified as a medium inhibition zone (characterized by medium sensitivity / scattering);

[0126] The solar altitude angle of the display device's location is obtained through the astronomical clock, and an altitude angle threshold is preset (e.g., 10°). When the altitude angle is less than the altitude angle threshold, it is determined that an abnormal trigger condition is met, triggering low-angle light field reconstruction, including: using a light field camera (e.g., based on a microlens array or a polarization metasurface) to capture light field information of grid points (4D light field data: spatial position (x, y) and angle (including the solar altitude angle and incident angle)), and performing light field reconstruction to obtain reconstructed light field data (including the light intensity distribution (including spatial position and angle) of each spatial grid point at different incident angles);

[0127] Specifically, the light field reconstruction algorithm can separate the spatial information and angular information of the light field by combining Fourier convolution with the channel attention algorithm to obtain the reconstructed light field data. It can also estimate the scene depth and map it to a new perspective through physical modeling methods such as 3DEPI (Epipolar Plane Image) to obtain the reconstructed light field data.

[0128] For each grid point, based on the inhibition area type and solar incident angle (90°-altitude angle = solar incident angle) in the inhibition area matrix, the light intensity distribution corresponding to the incident angle is matched from the reconstructed light field data;

[0129] According to the matched grid points, the solar incident angle is divided into discrete intervals to obtain different incident angle intervals (such as [0°, 30°], [30°, 60°], [60°, 90°]), and then inhibition weights are assigned to different inhibition area types and corresponding incident angle intervals;

[0130] It should be noted that the suppression weight assignment must be consistent with the physical meaning of the suppression area type, such as high suppression areas are assigned higher weights at low incident angles.

[0131] An exemplary suppression weight assignment formula is:

[0132]

[0133] Where W(φ) represents the suppression weight W corresponding to the incident angle φ interval;

[0134] Integrate the region types, incident angle intervals, and suppression weights of all grid points to generate an angle-region suppression mapping table (structured as a triplet table);

[0135] It should be noted that the angle-area mapping table needs to be stored in the form of a triple (area type, incident angle interval, suppression weight) for subsequent suppression-compensation instruction set generation, and the angle-area mapping table covers the spatial position and angle conditions of all grid points.

[0136] The generation method of the suppression-compensation dual-channel instruction set includes:

[0137] According to the salt fog scattering field intensity map, the regional gain coefficients are set for the edge area, central area and transition area respectively (e.g. edge area = 1.2, central area = 0.8, transition area = 1.0), and then the light compensation coefficient of each grid point is calculated according to the field intensity value and the regional gain coefficient;

[0138] Specifically, for each grid point, the product of the corresponding field intensity value and the regional gain coefficient of the corresponding type of partition is calculated as the light compensation coefficient;

[0139] A dynamic loading mechanism is set up to dynamically adjust the field intensity value of the grid point according to the real-time salt spray concentration change, and recalculate the light compensation coefficient to ensure that the light compensation coefficient is synchronized with the environmental conditions;

[0140] Combining the suppression weight and the comprehensive suppression factor, the brightness suppression factor of each grid point is calculated as the suppression channel instruction of the display device;

[0141] Specifically, the product of the suppression weight and the comprehensive suppression factor is taken to obtain the brightness suppression factor of the grid point;

[0142] According to the light compensation coefficient and field intensity value of the grid point, the brightness compensation factor of each grid point is calculated (the product of the light compensation coefficient and the field intensity value is taken as the brightness compensation factor);

[0143] The color temperature compensation factor is calculated based on the color temperature offset of the grid point and the maximum allowable color temperature offset of the display device (the ratio of the color temperature offset to the maximum allowable color temperature offset is taken as the color temperature compensation factor);

[0144] Map the grid points to the pixels of the display device based on the grid point range and the physical size of the display device (this can be achieved through scaling formulas and coordinate transformation formulas. For misaligned pixels, bilinear interpolation can be used to obtain the comprehensive suppression factor, brightness suppression factor, brightness compensation factor, and color temperature compensation factor from the grid points);

[0145] Then, the color temperature of the RGB components of the pixel is adjusted according to the color temperature compensation factor;

[0146] Specifically, the color temperature compensation factor is used to adjust the RGB components of the display device pixels:

[0147] If the color temperature offset is greater than the preset color temperature threshold, the color temperature is too high or too cold, and the red channel brightness needs to be reduced and the blue channel brightness needs to be increased:

[0148] For example, the adjusted R component = the original R component × (1-0.1 × color temperature compensation factor);

[0149] Adjusted B component = original B component × (1 + 0.1 × color temperature compensation factor);

[0150] If the color temperature offset is less than the preset color temperature threshold, the color temperature is too low and too warm. You need to reduce the brightness of the blue channel and increase the brightness of the red channel:

[0151] For example, the adjusted R component = the original R component × (1 + 0.1 × color temperature compensation factor);

[0152] Adjusted B component = original B component × (1-0.1 × color temperature compensation factor);

[0153] The brightness compensation factor and the RGB components after color temperature adjustment are used as compensation channel instructions;

[0154] Integrate the suppression channel instructions and compensation channel instructions of all pixel points corresponding to the grid points to generate a suppression-compensation dual-channel instruction set.

[0155] The methods for generating polarization suppression certificates and salt spray compensation certificates include:

[0156] Based on the angle-area suppression mapping table, the suppression priority of each grid point is dynamically assigned according to the suppression weight;

[0157] Specifically, all grid points are arranged in descending order of inhibition weight to form an inhibition priority sequence. The first grid point has the highest inhibition priority, the second grid point has the second highest, and so on. The last grid point has the lowest inhibition priority.

[0158] Integrate the network point coordinates, area type, incident angle interval, suppression weight, comprehensive suppression factor and suppression priority of the network point to form a polarization suppression certificate, and integrate the polarization suppression certificates of all grid points to form a polarization suppression certificate set;

[0159] The process for constructing a polarization suppression certificate is summarized as follows: for each grid point, the suppression weight is calculated by matching the area type and incident angle range according to the angle-area suppression mapping table; the comprehensive suppression factor is calculated by combining the salt fog scattering field intensity map; the priorities are then dynamically assigned and finally combined;

[0160] Based on the suppression-dual-channel instruction set, the compensation priority of each grid point is dynamically assigned according to the light compensation coefficient;

[0161] Specifically, all grid points are arranged in descending order according to the light compensation coefficient to form a compensation priority sequence. The first grid point has the highest compensation priority, the second grid point has the second highest priority, and so on. The last grid point has the lowest compensation priority.

[0162] Integrate the grid point coordinates, area type, light compensation coefficient, brightness compensation factor, color temperature compensation factor and compensation priority of the grid point to form a salt spray compensation certificate, and integrate the salt spray compensation certificates of all grid points to form a salt spray compensation certificate set;

[0163] The construction process of the salt fog compensation certificate is summarized as follows: for each grid point, the brightness compensation factor is calculated based on the light compensation coefficient and the salt fog scattering field intensity map; the color temperature compensation factor is calculated based on the color temperature offset; the compensation priority is dynamically assigned and finally combined together.

[0164] The credential conflict arbitration mechanism is defined as follows: Based on the polarization suppression credential set and the salt spray compensation credential set, each grid point is checked to see if it has both polarization suppression and salt spray compensation credentials. If so, it is marked as a potential conflict area. The suppression priority and compensation priority are compared to perform priority arbitration on the grid point:

[0165] If not, the subsequent comprehensive adjustment instruction generation step is directly entered according to the corresponding polarization suppression certificate or delay compensation certificate;

[0166] Priority arbitration is as follows: if the suppression priority is greater than the compensation priority, the suppression operation is performed first; if the compensation priority is greater than the suppression priority, the compensation operation is performed first;

[0167] If the suppression priority and the compensation priority are equal, the weight arbitration step is entered;

[0168] The weight arbitration step is to normalize the comprehensive suppression factor and the brightness compensation factor respectively, use the normalized values ​​as the suppression weight and compensation weight respectively, and compare them, and perform the operation with the larger value first;

[0169] Specifically, based on all the comprehensive suppression factors in the polarization suppression certificate set, the normalized value of the comprehensive suppression factor of the grid points with equal priority is calculated. Similarly, the normalized value of the brightness compensation factor is calculated.

[0170] Then the two normalized values ​​are used as the corresponding arbitration weights. If the suppression weight is greater than the compensation weight, the suppression operation is performed first. If the compensation weight is greater than the suppression weight, the compensation operation is performed first.

[0171] It should be noted that the arbitration weight can be dynamically adjusted based on real-time environmental parameters (such as the salt spray concentration change rate). For example, when the salt spray concentration increases rapidly, the suppression priority can be artificially enhanced to reduce the scattering effect.

[0172] For each pixel, a comprehensive adjustment instruction is generated according to the priority arbitration result of the corresponding grid point, including a brightness adjustment instruction and a color temperature adjustment instruction;

[0173] Specifically, the calculation of the brightness adjustment instruction is to subtract the sum of the brightness suppression factor and the brightness compensation factor from the initial brightness of the pixel;

[0174] The color temperature adjustment instruction uses the RGB components after color temperature adjustment as the color temperature adjustment instruction;

[0175] It should be noted that the adjusted brightness and color temperature values ​​need to be within a reasonable range, that is, reasonable thresholds need to be preset in advance (for example, if the brightness is less than the reasonable threshold of brightness, the color temperature range remains within the reasonable threshold interval of color temperature). If the adjusted brightness and color temperature values ​​are not within the reasonable range, the maximum value of the reasonable threshold is used as the comprehensive adjustment instruction. For example, if the adjusted brightness is greater than the reasonable threshold of brightness, the reasonable threshold of brightness is used as the adjusted brightness value. Similarly, if the color temperature range is not within the reasonable threshold interval of color temperature, for example, if the color temperature value is less than the minimum value of the reasonable threshold interval of color temperature, the minimum value of the reasonable threshold interval of color temperature is used as the adjusted color temperature value.

[0176] Convert the comprehensive adjustment instructions for each pixel into a drive instruction chain (the drive instruction chain includes brightness adjustment instructions and color temperature adjustment instructions, and is organized into an instruction chain structure according to the partition granularity (such as independent partition control)). Then, the partition controller of the display device executes dynamic dimming according to the drive instruction chain and generates a partition execution status report (recording the dimming execution status of each partition (such as success / failure) for subsequent processes);

[0177] Specifically, the generated drive instruction chain is sent to the partition controller of the display device to implement dynamic dimming for different backlight partitions;

[0178] The partition controller will adjust the backlight brightness and color temperature of the corresponding partition according to the received drive instruction chain to achieve precise brightness and color management;

[0179] Set up a real-time feedback mechanism to collect and record the actual effects after partition execution, which will serve as the basic data for subsequent verification feedback, thereby realizing a closed-loop optimization process.

[0180] The generation methods of the partition color difference vector include:

[0181] Use a high-precision camera or spectrophotometer to capture the display image of the display device after dynamic dimming, and ensure that the image resolution is consistent with the physical color card (such as 1920x1080);

[0182] Perform denoising, white balance correction and gamma correction on the displayed image to eliminate ambient light interference;

[0183] Divide the displayed image into grids that are consistent with the backlight partitions of the display device (e.g., each grid corresponds to one partition), extract the average RGB value of each grid, and bind it to the corresponding backlight partition;

[0184] For each backlight zone bound to the average RGB value, calculate (using the CIELAB color difference formula) the color difference between the average RGB value and the physical color card reference, and then horizontally splice the color differences of all backlight zones to form a zone color difference vector (used to represent the color difference distribution of each backlight zone);

[0185] The partition color difference vectors are visualized to obtain a partition color difference heat map, which can be used to assist manual or automatic analysis of abnormal areas.

[0186] Methods for freezing the corresponding partition credentials and activating the preset security mode include:

[0187] The dynamic change of the salt fog concentration in the space corresponding to the backlight partition is collected in real time by the environmental sensor (e.g., once per second), and the salt fog concentration change rate of the space corresponding to each backlight partition is obtained; the polarization angle change of the display device is measured by the polarization sensor (e.g., once per second), and the polarization angle drift of the space corresponding to each backlight partition is obtained;

[0188] For each backlight partition, the credibility index is calculated by combining the salt spray concentration change rate and polarization angle drift;

[0189] The formula for calculating credibility is:

[0190] Where KX(t) represents the credibility index, bl represents the credibility scale factor (e.g., 0.6), which is used to reflect the impact of salt spray concentration and polarization angle on credibility; cv1 and cv2 represent preset sensitivity coefficients (e.g., 0.1 and 0.2), which are used to control the sensitivity of changes to credibility; ΔAB(t) represents the rate of change of salt spray concentration, ΔAP(t) represents the polarization angle drift, and e is a natural constant.

[0191] It should be noted that the credibility calculation formula is based on the Sigmoid function. The Sigmoid function maps the salt fog concentration change rate and polarization angle drift to the [0, 1] interval to represent the impact of environmental parameters on system stability. The credibility scale factor needs to be adjusted according to actual needs. For example, if the salt fog concentration has a greater impact on the display effect, increase the credibility scale factor; otherwise, decrease the credibility scale factor.

[0192] The abnormal state determination condition is set as follows: if the credibility index is less than a preset credibility index threshold (such as 0.7), or the color difference value of the corresponding backlight partition in the partition color difference vector is greater than a preset maximum color difference value threshold (such as 5), then it is determined that the corresponding backlight partition is in an abnormal state;

[0193] If there is an abnormal state in the backlight partition, the polarization suppression certificate and salt spray compensation certificate of the corresponding backlight partition will be frozen;

[0194] The freezing mechanism is to mark the corresponding voucher of the abnormal backlight partition as unavailable in the polarization suppression voucher set and the salt spray compensation voucher set, and then skip the adjustment instruction of the abnormal backlight partition when updating the driving instruction chain;

[0195] Define that when the number of frozen backlight partitions exceeds a preset threshold (e.g., 20% backlight partitions are abnormal), the safety mode is triggered;

[0196] After the safety mode is triggered, the display device is switched to the default fixed brightness and color temperature values ​​(e.g., brightness is fixed at 100% and color temperature is fixed at 6500K), and an alarm signal is generated, indicating the abnormal state through the LED indicator or software interface;

[0197] The restrictive measures defined for safe mode are: suspending all dynamic dimming operations to ensure minimum display quality requirements (such as brightness not less than 50% and color temperature error not exceeding ±1000K);

[0198] If environmental parameters continue to deteriorate (e.g., salt spray concentration surges), gradually reduce brightness to prevent overload;

[0199] The generated verification report includes timestamp (recording the time when the abnormality occurred), abnormal partition list (listing the frozen backlight partition numbers and their color difference values), credibility index (current credibility index and its threshold), and handling measures (activating the safe mode operation and default control parameters).

[0200] The generation methods of the new generation control parameter set include:

[0201] Based on the historical verification report and the historical frozen backlight partition records, adjust the polarization domain weight values ​​of the corresponding regional grid points in the polarization responsibility domain matrix;

[0202] The adjustment method is to take the ratio of the corresponding color difference value to the maximum color difference value threshold, subtract the ratio result from 1, and then multiply it by the polarization domain weight value of the corresponding regional grid point in the polarization responsibility domain matrix to obtain the new polarization domain weight value;

[0203] Synchronously update the salt fog scattering field intensity map according to the salt fog concentration change rate;

[0204] The specific updating method is to set a learning rate (such as 0.1), take the product of the learning rate and the salt spray concentration change rate, and then add the product result to the field intensity value of the corresponding grid point in the salt spray scattering field intensity map to obtain the new field intensity value;

[0205] Based on the suppression priority conflict data in the historical verification report, optimize the incident angle interval division in the angle-area suppression mapping table (for example, increase the coverage of high suppression weight areas);

[0206] The specific optimization method can dynamically optimize and adjust the incident angle range and the corresponding suppression weight through a machine learning model (such as a decision tree);

[0207] The updated polarization responsibility domain matrix, salt spray scattering field intensity map, and angle-area suppression mapping table are integrated to generate a new generation of control parameter set. Based on the new generation of control parameter set, the suppression-compensation dual-channel instruction set is regenerated, and the drive instruction chain is refreshed to form a closed-loop optimization.

[0208] Example 2

[0209] See also Figure 3 As shown, for the parts not described in detail in this embodiment, please refer to the description of embodiment 1. A method for controlling brightness and color temperature of a display device based on adaptive adjustment of ambient light is provided, including:

[0210] S1: Real-time collection of polarized light intensity distribution and main angle vector reflected from the water surface, simultaneous acquisition of salt fog concentration gradient data, and then calculation of the contribution weight of direct light, construction of the polarization responsibility domain matrix, and generation of the salt fog scattering field intensity map based on the blue light band attenuation;

[0211] S2: Based on the polarization responsibility domain matrix and the salt fog scattering field intensity map, the solar altitude angle is obtained. When the altitude angle meets the abnormal trigger condition, the low-angle light field reconstruction is triggered and an angle-region suppression mapping table is generated. Then, the light compensation coefficients of different regions are dynamically calculated based on the salt fog scattering field intensity map to generate a suppression-compensation dual-channel instruction set.

[0212] S3: Generates polarization suppression credentials and salt spray compensation credentials based on the angle-region suppression mapping table and the suppression-compensation dual-channel instruction set. Resolves instruction conflicts through the credential conflict arbitration mechanism, generates a drive instruction chain, and triggers dynamic dimming execution in each partition.

[0213] S4: Acquire the display image after adjusting the display parameters and generate the partition color difference vector based on the physical color card benchmark comparison. Combined with the salt spray concentration change rate and polarization angle drift, calculate the credibility index. If the partition color difference vector or credibility index does not meet the normal state, freeze the corresponding partition credentials and activate the preset security mode. Generate a verification report simultaneously.

[0214] S5: Based on the historical verification report, update the polarization responsibility domain matrix, calibrate the salt spray scattering field intensity map, optimize the angle-area suppression mapping table, generate a new generation of control parameter sets and refresh the final drive instruction chain.

[0215] Example 3

[0216] This embodiment discloses an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the operation mode of the above-mentioned method for controlling the brightness and color temperature of a display device based on adaptive adjustment of ambient light is implemented.

[0217] Since the electronic device introduced in this embodiment is an electronic device used to implement the method for controlling the brightness and color temperature of a display device based on adaptive adjustment of ambient light in the embodiment of this application, those skilled in the art will be able to understand the specific implementation of the electronic device of this embodiment and its various variations based on the method for controlling the brightness and color temperature of a display device based on adaptive adjustment of ambient light introduced in the embodiment of this application, so how the electronic device implements the method in the embodiment of this application will not be described in detail here. As long as those skilled in the art implement the electronic device used by the method for controlling the brightness and color temperature of a display device based on adaptive adjustment of ambient light in the embodiment of this application, it falls within the scope of protection to be provided by this application.

[0218] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters and thresholds in the formulas are set by technicians in this field according to actual conditions.

[0219] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions based on the principles of the present invention are within the scope of protection of the present invention. It should be noted that for users of ordinary skill in the art, various improvements and modifications that do not depart from the principles of the present invention are also within the scope of protection of the present invention.

Claims

1. A display device brightness and color temperature control system based on ambient light adaptive adjustment, characterized in that: include: Environmental perception unit: This unit collects the intensity distribution and main angle vector of polarized light reflected from the water surface in real time, and simultaneously obtains salt fog concentration gradient data. It then calculates the contribution weight of direct light, constructs a polarization responsibility domain matrix, and generates a salt fog scattering field intensity map based on the attenuation of the blue light band. Suppression compensation generation unit: Based on the polarization responsibility domain matrix and salt fog scattering field intensity map, the solar altitude angle is obtained. When the altitude angle meets the abnormal trigger condition, the low-angle light field reconstruction is triggered and an angle-region suppression mapping table is generated. The light compensation coefficients of different regions are then dynamically calculated based on the salt fog scattering field intensity map to generate a suppression-compensation dual-channel instruction set. Credential arbitration and execution unit: Generates polarization suppression credentials and salt spray compensation credentials based on the angle-region suppression mapping table and the suppression-compensation dual-channel instruction set. It resolves instruction conflicts through the credential conflict arbitration mechanism, generates a drive instruction chain, and then triggers the partitioned execution of dynamic dimming. Verification and control unit: This unit collects the display image after adjusting the display parameters and generates a partitioned color difference vector based on a physical color card benchmark comparison. It also calculates a credibility index based on the salt spray concentration change rate and polarization angle drift. If the partitioned color difference vector or credibility index does not meet the normal state, the corresponding partition credentials are frozen, the preset security mode is activated, and a verification report is generated simultaneously. Parameter update unit: Based on historical verification reports, it updates the polarization responsibility domain matrix, calibrates the salt spray scattering field intensity map, optimizes the angle-area suppression mapping table, generates a new generation of control parameter sets, and refreshes the final drive instruction chain.

2. The display device brightness and color temperature control system based on ambient light adaptive adjustment according to claim 1, characterized in that: The polarization responsibility domain matrix is ​​constructed in the following manner: Deploy a four-directional polarization sensor array to continuously collect the intensity distribution and main angle vector of polarized light reflected from the water surface; Synchronously collect and display the concentration value of the space where the equipment is located to obtain salt spray concentration gradient data; Filter and normalize the collected polarized light intensity distribution, main angle vector, and salt spray concentration gradient data, and align the timestamps; Obtain the main polarization direction of sunlight and display equipment, and then divide the polarized light intensity distribution into four responsibility areas; Calculate the angle difference between the polarization sensor angle of each responsibility domain and the main polarization direction of the sun to obtain the direct light contribution weight; The direct light contribution weight and the polarized light intensity are weighted together to calculate the responsibility weight. The responsibility weights of all responsibility domains are superimposed and normalized to generate the polarization domain weight value of each image point and integrate it into the polarization responsibility domain matrix.

3. The display device brightness and color temperature control system based on ambient light adaptive adjustment according to claim 2, characterized in that: The method for generating the salt fog scattering field intensity map includes: Based on the salt spray concentration gradient data after time stamp alignment, the salt spray concentration gradient data is converted into a two-dimensional gradient map consistent with the resolution of the polarization sensor; For each grid point in the two-dimensional gradient map, the blue light attenuation is calculated by combining the salt spray concentration and the attenuation coefficient of the blue light band; Set a concentration threshold interval, and divide the grid points into edge area, center area and transition area according to the blue light attenuation in the concentration threshold interval; The blue light attenuation at each grid point is mapped to a field intensity value to generate a two-dimensional salt fog scattering field intensity map; Preset the color temperature reference values ​​for the edge area and the center area, and calculate the product of the field strength values ​​for the edge area and the center area and the corresponding color temperature reference values ​​as the color temperature offsets for the edge area and the center area; For the transition zone, the color temperature offset of the transition zone is calculated based on the relative position of the blue light attenuation in the concentration threshold range and the color temperature offset of the edge zone and the center zone. The color temperature offset of each grid point is added to the two-dimensional salt fog scattering field intensity map to generate the final salt fog scattering field intensity map.

4. The display device brightness and color temperature control system based on ambient light adaptive adjustment according to claim 3, characterized in that: The angle-area suppression mapping table includes: All the field intensity values ​​in the salt fog scattering field intensity map are integrated into the salt fog scattering field intensity matrix. The comprehensive suppression factor matrix is ​​calculated by combining the polarization responsibility domain matrix and the salt fog scattering field intensity matrix. Set the inhibition threshold interval, and divide the grid points corresponding to each comprehensive inhibition factor in the comprehensive inhibition factor matrix into inhibition area types, including high inhibition area, medium inhibition area or low inhibition area, according to the inhibition threshold interval, thereby generating an inhibition area matrix; Obtain the solar altitude angle of the display device in the area, preset an altitude angle threshold, and when the altitude angle is less than the altitude angle threshold, determine that the abnormal trigger condition is met, triggering low-angle light field reconstruction, including: capturing grid point light field information and reconstructing light field data; For each grid point, based on the inhibition area type and solar incident angle in the inhibition area matrix, the light intensity distribution corresponding to the incident angle is matched from the reconstructed light field data; According to the matched grid points, the solar incident angle is divided into discrete intervals to obtain different incident angle intervals, and then inhibition weights are assigned to different inhibition area types and corresponding incident angle intervals; The area type, incident angle interval and suppression weight of all grid points are integrated to generate an angle-area suppression mapping table.

5. The display device brightness and color temperature control system based on ambient light adaptive adjustment according to claim 4, characterized in that: The generation method of the suppression-compensation dual-channel instruction set includes: According to the salt fog scattering field intensity map, the regional gain coefficients are set for the edge area, central area and transition area respectively, and then the light compensation coefficient of each grid point is calculated according to the field intensity value and the regional gain coefficient; Combining the suppression weight and the comprehensive suppression factor, the brightness suppression factor of each grid point is calculated as the suppression channel instruction of the display device; The brightness compensation factor of each grid point is calculated based on the light compensation coefficient and field intensity value of the grid point; The color temperature compensation factor is calculated based on the color temperature offset of the grid point and the maximum allowable color temperature offset of the display device; Mapping the grid points to the pixels of the display device according to the grid point range and the physical size of the display device; Then, the color temperature of the RGB components of the pixel is adjusted according to the color temperature compensation factor; The brightness compensation factor and the RGB components after color temperature adjustment are used as compensation channel instructions; Integrate the suppression channel instructions and compensation channel instructions of all pixel points corresponding to the grid points to generate a suppression-compensation dual-channel instruction set.

6. The display device brightness and color temperature control system based on ambient light adaptive adjustment according to claim 5, characterized in that: The generation method of the polarization suppression certificate and the salt spray compensation certificate includes: Based on the angle-area suppression mapping table, the suppression priority of each grid point is dynamically assigned according to the suppression weight; Integrate the network point coordinates, area type, incident angle interval, suppression weight, comprehensive suppression factor and suppression priority of the network point to generate a polarization suppression certificate, and integrate the polarization suppression certificates of all grid points to form a polarization suppression certificate set; Based on the suppression-dual-channel instruction set, the compensation priority of each grid point is dynamically assigned according to the light compensation coefficient; The grid point coordinates, area type, light compensation coefficient, brightness compensation factor, color temperature compensation factor and compensation priority of the grid point are integrated to generate a salt spray compensation certificate, and the salt spray compensation certificates of all grid points are integrated to form a salt spray compensation certificate set.

7. The display device brightness and color temperature control system based on ambient light adaptive adjustment according to claim 6, characterized in that: The method of generating a drive instruction chain and triggering the partition to perform dynamic dimming includes: The credential conflict arbitration mechanism is defined as follows: Based on the polarization suppression credential set and the salt spray compensation credential set, each grid point is checked to see if it has both polarization suppression credential and salt spray compensation credential. If so, it is marked as a potential conflict area. The suppression priority and compensation priority are compared to perform priority arbitration on the grid point: Priority arbitration is as follows: if the suppression priority is greater than the compensation priority, the suppression operation is performed first; if the compensation priority is greater than the suppression priority, the compensation operation is performed first; If the suppression priority and the compensation priority are equal, the weight arbitration step is entered; The weight arbitration step is to normalize the comprehensive suppression factor and the brightness compensation factor respectively, use the normalized values ​​as the suppression weight and compensation weight respectively, and compare them, and perform the operation with the larger value first; For each pixel, a comprehensive adjustment instruction is generated according to the priority arbitration result of the corresponding grid point, including a brightness adjustment instruction and a color temperature adjustment instruction; The comprehensive adjustment instruction is converted into a driving instruction chain, and the dynamic dimming is performed according to the driving instruction chain by the partition controller of the display device.

8. The display device brightness and color temperature control system based on ambient light adaptive adjustment according to claim 7, characterized in that: The generation method of the partition color difference vector includes: Collect the display image of the display device after dynamic dimming, divide the display image into grids consistent with the backlight partitions of the display device, extract the average RGB value of each grid, and bind it to the corresponding backlight partition; For each backlight partition bound to the average RGB value, the color difference between the average RGB value and the physical color card reference is calculated, and then the color differences of all backlight partitions are horizontally spliced ​​to form a partition color difference vector.

9. The display device brightness and color temperature control system based on ambient light adaptive adjustment according to claim 8, characterized in that: The method of freezing the corresponding partition credentials and activating the preset security mode includes: Real-time collection of salt fog concentration change rate and polarization angle drift in the space corresponding to the backlight partition; For each backlight partition, the credibility index is calculated by combining the salt spray concentration change rate and polarization angle drift; The abnormal state determination condition is set as follows: if the credibility index is less than a preset credibility index threshold, or the color difference value of the corresponding backlight partition in the partition color difference vector is greater than a preset maximum color difference value threshold, then it is determined that the corresponding backlight partition is in an abnormal state; If there is an abnormal state in the backlight partition, the polarization suppression certificate and salt spray compensation certificate of the corresponding backlight partition will be frozen; Defines that when the number of frozen backlight zones exceeds the preset threshold, the safety mode is triggered.

10. The display device brightness and color temperature control system based on ambient light adaptive adjustment according to claim 9, characterized in that: The generation method of the new generation control parameter set includes: According to the historical frozen backlight partition record, the polarization domain weight value of the corresponding regional grid point in the polarization responsibility domain matrix is ​​adjusted; At the same time, the salt fog scattering field intensity map is updated according to the salt fog concentration change rate; Optimize the incident angle interval division in the angle-area suppression mapping table based on the suppression priority conflict data in the historical verification report; The updated polarization responsibility domain matrix, salt fog scattering field intensity map and angle-area suppression mapping table are integrated to generate a new generation of control parameter set, and the suppression-compensation dual-channel instruction set is regenerated based on the new generation of control parameter set.

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