Liquid crystal display screen display optimization method and system

Abstract

The invention relates to the technical field of data processing and optimization, in particular to a liquid crystal display screen display optimization method and system. The method comprises the following steps: acquiring display data of a liquid crystal display screen by using a sensor to obtain the display data of the liquid crystal display screen; preprocessing the display data of the liquid crystal display screen to obtain standard display data of the liquid crystal display screen; performing multi-dimensional feature recognition on the display data of the standard liquid crystal display screen to obtain multi-dimensional display feature data; performing key display information extraction on the multi-dimensional display feature data to obtain key display information; according to the invention, through a data processing technology, an image identification technology and an intelligent regulation and control technology, a specific environment condition is analyzed so as to obtain an abnormal display condition of the liquid crystal display screen caused by environmental influence; and dynamic display optimization adjustment is carried out on abnormal display conditions of the liquid crystal display screen, so that the display effect of the liquid crystal display screen is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing and optimization, and in particular to a liquid crystal display screen display optimization method and system. Background Art

[0002] Liquid crystal display is a digital and character display device developed based on a series of electro-optical effects such as dynamic scattering of liquid crystal and phase change of liquid crystal. Early liquid crystal display was designed based on current control to achieve the display purpose. With the introduction of color management technology, liquid crystal display can display higher resolution image information. For example, liquid crystal display ADS Pro technology enables liquid crystal display to have high ambient light contrast, full viewing angle without color deviation, high refresh rate and dynamic picture optimization. It reduces the light reflectivity of the display screen and achieves light adaptability and picture quality. However, the existing display optimization method of liquid crystal display does not take into account the abnormal conditions of the display performance of liquid crystal display under specific environmental conditions, and it is difficult to dynamically optimize the display of abnormal conditions, resulting in poor display effect of liquid crystal display. Summary of the invention

[0003] Based on this, it is necessary to provide a liquid crystal display screen display optimization method and system to solve at least one of the above technical problems.

[0004] To achieve the above object, a method for optimizing the display of a liquid crystal display screen is provided, the method comprising the following steps: Step S1: using a sensor to collect display data of a liquid crystal display screen to obtain display data of the liquid crystal display screen; preprocessing the display data of the liquid crystal display screen to obtain display data of a standard liquid crystal display screen; performing multi-dimensional feature recognition on the display data of the standard liquid crystal display screen to obtain multi-dimensional display feature data; extracting key display information from the multi-dimensional display feature data to obtain key display information; Step S2: acquiring liquid crystal display screen environment data; extracting display response characteristics of key display information according to the liquid crystal display screen environment data to generate display response characteristic data; performing response anomaly analysis on multi-dimensional display characteristic data through the display response characteristic data to obtain display response anomaly data; Step S3: determining the display color of key display information according to the liquid crystal display screen environment data to obtain display color data; recording the display brightness of key display information in real time in combination with the display color data to generate display brightness data; measuring the display viewing angle of multi-dimensional display feature data according to the display brightness data and the display color data to obtain display viewing angle data; performing viewing angle anomaly detection on the display viewing angle data to obtain viewing angle anomaly data; Step S4: perform intelligent response optimization on the display response abnormality data to generate response abnormality optimization data; perform adaptive adjustment on the viewing angle abnormality data to obtain viewing angle abnormality adjustment data; construct a LCD display optimization model based on the response abnormality optimization data and the viewing angle abnormality adjustment data to generate a LCD display optimization model; perform display optimization on the LCD screen based on the LCD display optimization model to obtain a LCD display optimization report.

[0005] The present invention uses sensors to collect display data of a liquid crystal display screen, ensuring the originality and accuracy of the data; preprocessing the collected liquid crystal display screen display data, converting it into standard liquid crystal display screen display data, can remove noise and abnormal values ​​in the data, and improve the quality of the data; multi-dimensional feature recognition is performed on the standard liquid crystal display screen display data, which can comprehensively capture the performance characteristics of the display screen; key display information is extracted from the multi-dimensional display feature data to obtain key display information, so as to focus on the core elements of the display screen performance and provide a precise target for optimization. The liquid crystal display screen environmental data is obtained to provide specific environmental information for the display screen performance analysis, ensuring the accuracy of the display screen performance analysis; display response feature extraction is performed on the key display information according to the liquid crystal display screen environmental data, so as to identify the response characteristics of the display screen in different environments, and provide a basis for the subsequent optimization of the display screen; response abnormality analysis is performed on the multi-dimensional display feature data by display response feature data, so as to timely discover the abnormal response of the display screen. According to the LCD screen environment data, the display color of key display information is determined to clarify the relevant situation of the display screen color; the key display information is recorded in real time in combination with the display color data, and the brightness of the display screen can be monitored in real time; the display viewing angle of multi-dimensional display feature data is measured according to the display brightness data and display color data, and the viewing angle performance of the display screen can be evaluated, providing a data basis for the subsequent viewing angle display optimization; the display viewing angle data is detected for viewing angle anomalies, and the viewing angle anomalies of the display screen can be identified. Intelligent response optimization is performed on the display response anomaly data, and the abnormal response can be optimized through intelligent algorithms, thereby improving the response performance of the display screen; the viewing angle anomaly data is adaptively adjusted, and the viewing angle anomaly is adjusted through adaptive technology, thereby improving the viewing angle display performance of the display screen; the LCD display optimization model is constructed according to the response anomaly optimization data and the viewing angle anomaly adjustment data, and the LCD display optimization model is generated, which can optimize the display of the LCD screen; the LCD display is optimized according to the LCD display optimization model, and the LCD display optimization report is obtained, which can achieve an overall improvement in the performance of the display screen, and a detailed record of the optimization results is provided in the form of a report. Therefore, the present invention uses data processing technology, image recognition technology and intelligent control technology to analyze specific environmental conditions to obtain abnormal display conditions of the LCD screen caused by environmental influences; and dynamically optimizes and adjusts the display of abnormal conditions on the LCD screen, thereby improving the display effect of the LCD screen.

[0006] Preferably, step S2 comprises the following steps: Step S21: using sensors to obtain liquid crystal display screen environment data, including display screen environment temperature characteristics and display screen environment humidity characteristics; Step S22: extracting display screen environmental humidity features from the liquid crystal display screen environmental data to obtain display screen environmental humidity data; measuring the environmental humidity level of the display screen environmental humidity data to generate environmental humidity level data; Step S23: extracting display brightness characteristics of key display information based on the environmental humidity data to generate display brightness characteristic data; performing brightness change recognition on the display brightness characteristic data to obtain display brightness change data; performing response time characteristic recognition on the display brightness change data to generate response time characteristic data; performing power consumption response detection on the response time characteristic data to obtain response power consumption characteristic data; integrating the response time characteristic data and the response power consumption characteristic data to obtain display response characteristic data; Step S24: performing response anomaly analysis on the multi-dimensional display characteristic data through the display response characteristic data to obtain display response anomaly data.

[0007] The present invention uses sensors to obtain liquid crystal display screen environmental data, including display screen environmental temperature characteristics and display screen environmental humidity characteristics, thereby ensuring comprehensive monitoring of the display screen working environment; extracting display screen environmental humidity characteristics from the liquid crystal display screen environmental data can refine the environmental data and clarify the influence of humidity on the display screen performance; measuring the environmental humidity level from the display screen environmental humidity data can quantify the specific influence of humidity on the display screen performance; extracting display brightness characteristics from key display information based on the environmental humidity level data can convert the influence of environmental humidity into specific characteristics of display screen brightness, thereby providing a basis for brightness adjustment; identifying brightness changes from the display brightness characteristic data can monitor the actual brightness of the display screen. The response time characteristics of the display brightness change data can be identified to evaluate the relationship between the response speed of the display and the brightness change, providing a data basis for the response speed optimization; the power consumption response detection of the response time characteristic data can identify the relationship between power consumption and response time; the response time characteristic data and the response power consumption characteristic data are integrated to obtain the display response characteristic data. This step combines the response time and power consumption data to provide a comprehensive data analysis for the energy efficiency optimization of the display; the response anomaly analysis of the multi-dimensional display characteristic data by display response characteristic data can identify the anomalies in the response of the display, providing key data for fault diagnosis and performance optimization.

[0008] Preferably, step S24 includes the following steps: Step S241: extracting the pixel features of the liquid crystal display screen from the multi-dimensional display feature data to obtain the pixel features of the liquid crystal display screen; marking the grayscale status of the pixel points on the liquid crystal display screen pixel features to generate the grayscale status data of the pixel points; Step S242: performing state type identification on the grayscale state data of the pixel point to obtain grayscale state type data; performing type conversion time measurement on the grayscale state type data by displaying the response characteristic data to generate the grayscale state conversion time; performing display screen drag recording on the multi-dimensional display characteristic data according to the grayscale state conversion time to obtain display screen drag information; performing display time anomaly detection on the display screen drag information to generate time anomaly response data; Step S243: monitoring the state power consumption of the multi-dimensional display characteristic data according to the grayscale state type data to obtain state type power consumption data; comparing the state type power consumption data with the preset state type power consumption data, and if the state type power consumption data is greater than the preset state type power consumption data, marking the state type power consumption data as power consumption abnormality response data; Step S244: Integrate the time abnormal response data and the power consumption abnormal response data to obtain display response abnormal data.

[0009] The present invention extracts pixel features of a liquid crystal display screen from multi-dimensional display feature data, and can clarify the characteristics of each pixel in the display screen; the grayscale state of the pixel is marked for the pixel features of the liquid crystal display screen, and data support is provided for the grayscale performance of the display screen by marking the pixels of different grayscale states; the state type is identified for the grayscale state data of the pixel points, and structured data is provided for understanding the grayscale performance of the display screen by classifying the grayscale states of the pixels; the type conversion time of the grayscale state type data is measured by display response feature data, and the conversion speed of the grayscale state of the pixel points is quantified, and time data is provided for evaluating the response speed of the display screen; the multi-dimensional display feature data is displayed according to the grayscale state conversion time. The display screen smear is recorded, and the grayscale state conversion time can be identified and classified. Analyze the performance of the display screen in dynamic images; perform display time anomaly detection on the display screen ghosting information, so as to timely discover the abnormal situation of the display screen in time response; perform state power consumption monitoring on the multi-dimensional display feature data according to the grayscale state type data, and specifically monitor the power consumption under different grayscale states to evaluate the energy efficiency performance of the display screen under different display states; compare the state type power consumption data with the preset state type power consumption data, if the state type power consumption data is greater than the preset state type power consumption data, then mark the state type power consumption data as power consumption abnormality response data; by comparing the actual power consumption with the preset value, the power consumption anomaly can be identified; integrating the time abnormality response data and the power consumption abnormality response data, the response performance of the display screen can be comprehensively evaluated.

[0010] Preferably, step S3 comprises the following steps: Step S31: extracting display screen ambient temperature characteristics from the liquid crystal display screen ambient data to obtain display screen ambient temperature data; calculating the ambient temperature degree of the display screen ambient temperature data to generate ambient temperature degree data; and identifying display color characteristics of key display information according to the ambient temperature degree data to obtain display color data; Step S32: Based on the display color data, the display brightness characteristic data is monitored in real time to obtain display brightness monitoring data; brightness parameter mapping is performed on the display brightness monitoring data to generate display brightness mapping parameters; real-time parameter recording is performed on the display brightness mapping parameters to generate display brightness data; Step S33: extracting display brightness distribution features from the display brightness data to obtain display brightness distribution features; performing brightness partitioning on the display brightness distribution features according to the display brightness distribution features to generate display brightness area information; performing color difference marking on the display color data according to the display brightness area information to generate display color difference data; Step S34: performing display viewing angle measurement on the multi-dimensional display feature data based on the display color difference data to obtain display viewing angle data; performing viewing angle anomaly detection on the display viewing angle data to obtain viewing angle anomaly data.

[0011] The present invention extracts the environmental temperature characteristics of the liquid crystal display screen from the environmental data of the liquid crystal display screen, and can capture the temperature conditions of the environment in which the display screen is located; the environmental temperature degree is measured for the environmental temperature data of the display screen, and the degree of the environmental temperature is clearly quantified, so that the performance changes of the display screen under different temperature conditions can be understood; the display color characteristics of key display information are identified according to the environmental temperature degree data, and the characteristics of the display screen color can be identified according to the change of the environmental temperature, which provides a basis for the adjustment and optimization of color accuracy; the display brightness characteristic data is monitored in real time based on the display color data, and the brightness change of the display screen can be monitored in real time; the display brightness monitoring data is mapped with brightness parameters, so that the monitoring data can be converted into parameters that can be used for analysis and adjustment by mapping the brightness parameters; the display brightness mapping parameters are recorded in real time, and the brightness mapping parameters can be recorded by the display brightness mapping parameters. Recording brightness parameters can track real-time changes in display brightness; extracting display brightness distribution features from display brightness data can identify the distribution characteristics of display brightness, providing a data basis for brightness uniformity analysis; performing brightness partitioning on display brightness distribution features according to display brightness distribution features, and specifically through partitioned brightness distribution, the brightness characteristics of different areas of the display can be identified; marking color differences on display color data through display brightness area information can mark color differences according to different brightness areas, providing detailed data support for color consistency optimization; measuring the display viewing angle of multi-dimensional display feature data based on display color difference data, and calculating the viewing angle of the display based on the color difference data; performing viewing angle anomaly detection on display viewing angle data can detect whether there are anomalies on the display at different viewing angles.

[0012] Preferably, step S34 includes the following steps: Step S341: setting display observation points for the multi-dimensional display feature data based on the display color difference data to obtain display observation point data; performing display angle simulation on the multi-dimensional display feature data according to the display observation point data to generate display angle simulation data; Step S342: using a camera to collect display images of display angle simulation data to obtain simulated angle display image information; performing image feature enhancement on the simulated angle display image information to generate a simulated angle feature enhanced image; performing display parameter recording on the simulated angle feature enhanced image to obtain simulated angle display parameter information; Step S343: performing display brightness state identification on the analog angle display parameter information to obtain analog angle brightness state data; performing visual brightness feature marking on the analog angle brightness state data to generate visual brightness feature data; performing display color state determination on the analog angle display parameter information according to the visual brightness feature data to generate analog angle color state data; performing visual color feature marking on the analog angle color state data to obtain visual color feature data; Step S344: performing display viewing angle parameter identification on the display angle simulation data based on the visible brightness characteristic data and the visible color characteristic data to obtain display viewing angle parameters; performing angle measurement on the display viewing angle parameters to obtain display viewing angle data; Step S345: performing brightness display abnormality detection on the multi-dimensional display feature data according to the display viewing angle data to generate visible brightness display abnormality data; performing visible color display abnormality detection on the multi-dimensional display feature data in combination with the visible brightness display abnormality data and the display viewing angle data to obtain visible color display abnormality data; Step S346: Integrate the visual brightness display abnormality data and the visual color display abnormality data to generate visual angle abnormality data.

[0013] The present invention sets display observation points for multi-dimensional display feature data based on display color difference data, and can clarify the observation data points of the display screen; performs display angle simulation on multi-dimensional display feature data according to display observation point data, and can show the performance of the display screen at different viewing angles, providing simulation data support for optimizing the viewing angle performance of the display screen; uses a camera to collect display images of display angle simulation data, verifies the accuracy of simulation data through actual image collection, and provides empirical data for evaluating the image quality of the display screen; performs image feature enhancement on simulated angle display image information, and specifically improves the clarity and recognizability of the image by enhancing image features; performs display parameter recording on simulated angle feature enhanced images, and enhances the display parameters of the images, providing detailed data records for adjusting and optimizing display screen parameters; performs display brightness state recognition on simulated angle display parameter information, and can identify the brightness states at different display angles; performs visual brightness feature marking on simulated angle brightness state data, and can identify and optimize the brightness performance of the display screen, providing for brightness uniformity. The data basis is established; the display color state of the simulated angle display parameter information is determined according to the visible brightness characteristic data, so that the color state at different display angles can be determined; the simulated angle color state data is marked with visual color characteristics, so that the color performance of the display screen can be identified and optimized; the display angle simulation data is identified based on the visual brightness characteristic data and the visual color characteristic data, so that the visual angle parameters of the display screen can be clarified, and the key parameters for the viewing angle performance evaluation of the display screen can be provided; the display viewing angle parameters are measured, and the viewing angle performance of the display screen can be quantified by measuring the viewing angle parameters; the brightness display anomaly detection is performed on the multi-dimensional display feature data according to the display viewing angle data, so that the brightness anomaly of the display screen can be detected; the visual color display anomaly detection is performed on the multi-dimensional display feature data in combination with the visual brightness display anomaly data and the display viewing angle data, so that the color anomaly of the display screen can be detected; the visual brightness display anomaly data and the visual color display anomaly data are integrated to comprehensively evaluate the anomaly of the viewing angle performance of the display screen.

[0014] Preferably, step S4 comprises the following steps: Step S41: performing intelligent response optimization on the display response abnormality data to generate response abnormality optimization data; Step S42: adaptively adjusting the viewing angle abnormality data to obtain viewing angle abnormality adjustment data; Step S43: constructing a liquid crystal display screen display optimization model according to the response abnormality optimization data and the viewing angle abnormality adjustment data to obtain a liquid crystal display screen display optimization pre-model; and training the liquid crystal display screen display optimization pre-model using the response abnormality optimization data and the viewing angle abnormality adjustment data to obtain a liquid crystal display screen display optimization training model; Step S44: performing model cross-validation evaluation on the LCD display optimization training model to obtain model evaluation data; adjusting model parameters of the LCD display optimization training model using the model evaluation data to obtain the LCD display optimization model; Step S45: Optimizing the display of the LCD screen according to the LCD screen display optimization model to obtain an LCD screen display optimization report.

[0015] The present invention performs intelligent response optimization on display response abnormality data, can optimize the display response abnormality, and improves the response speed and stability of the liquid crystal display screen; performs adaptive adjustment on the visual angle abnormality data, adjusts the visual angle abnormality through adaptive technology, optimizes the color and brightness performance of the liquid crystal display screen at different viewing angles, and improves the viewing angle performance of the display screen; constructs a liquid crystal display screen display optimization model according to the response abnormality optimization data and the visual angle abnormality adjustment data, obtains a liquid crystal display screen display optimization pre-model, and provides a basis for subsequent training and optimization; trains the liquid crystal display screen display optimization pre-model using the response abnormality optimization data and the visual angle abnormality adjustment data, and obtains a liquid crystal display screen display optimization training model. The optimization model can better adapt to the actual display needs and improve the practicality and effectiveness of the model; the LCD display optimization training model is cross-validated and evaluated to obtain model evaluation data, and the performance of the model is evaluated by cross-validation to ensure the accuracy and generalization ability of the model; the model parameters of the LCD display optimization training model are adjusted by the model evaluation data, and the performance of the model is further optimized by adjusting the model parameters to ensure the efficiency and accuracy of the model in practical applications; the LCD display is optimized according to the LCD display optimization model to obtain the LCD display optimization report. In this step, the optimized model is used to adjust the display to improve the performance of the display.

[0016] Preferably, step S41 includes the following steps: Step S411: Calculate the duration of the time abnormal response on the display response abnormal data to obtain time abnormal duration data; associate the time abnormal duration data with the environmental humidity degree data to perform humidity abnormal time correlation to generate humidity abnormal time data; Step S412: extracting pixel conversion features of the liquid crystal display screen pixel features according to the humidity abnormality time data to obtain pixel conversion feature data; converting the pixel conversion feature data into voltage records to obtain pixel conversion voltage values; calculating the duration value of the time abnormality duration data to generate the abnormality duration value; Step S413: numerically mapping the abnormal duration value and the pixel conversion voltage value to obtain the time abnormality-pixel conversion value; intelligently improving the pixel conversion voltage of the liquid crystal display screen display data based on the time abnormality-pixel conversion value to generate pixel conversion voltage optimization measures; Step S414: Calculate the power consumption abnormality degree of the display response abnormal data to obtain power consumption abnormality degree data; match the power consumption abnormality degree data with the environmental humidity degree data to generate humidity power consumption situation data; identify the display state of the multi-dimensional display feature data according to the humidity power consumption situation data to obtain display state data; extract the standby state of the display state data to generate standby display state data; extract the working state of the display state data to generate working display state data; Step S415: based on the standby display state data and the humidity power consumption data, the backlight brightness of the liquid crystal display screen is reduced to obtain a backlight brightness optimization measure for the liquid crystal display screen; based on the working display state data and the humidity power consumption data, the display refresh rate of the liquid crystal display screen is reduced to obtain a display refresh rate optimization measure; the backlight brightness optimization measure and the display refresh rate optimization measure are integrated to perform a power consumption abnormality response optimization measure; Step S416: Integrate the pixel conversion voltage optimization measure and the power consumption abnormal response optimization measure to obtain abnormal response optimization data.

[0017] The present invention calculates the duration of the time abnormal response of the display response abnormality data, can quantify the duration of the display response abnormality, and provides data support of the time dimension for subsequent analysis; associates the time abnormality duration data with the environmental humidity degree data for the humidity abnormality time, and can identify the influence of humidity change on the display response; extracts the pixel conversion feature of the liquid crystal display screen pixel characteristics according to the humidity abnormality time data, and can analyze the specific influence of humidity change on pixel conversion; records the pixel conversion feature data for conversion voltage, so that the voltage change under different humidity conditions is recorded, and provides basic data for optimizing voltage adjustment; calculates the duration value of the time abnormality duration data, and can further quantify the influence of the abnormality duration; maps the abnormality duration value with the pixel conversion voltage value, and can analyze the relationship between time and voltage through mapping; based on the time abnormality-pixel conversion value, the pixel conversion voltage of the liquid crystal display screen display data is intelligently improved, so that the voltage setting is optimized through an intelligent algorithm, and the display performance can be improved. The power consumption abnormality degree of the display response abnormal data is measured to obtain the power consumption abnormality degree data, which can quantify the power consumption of the display screen under abnormal conditions; the power consumption abnormality degree data is matched with the environmental humidity degree data for humidity power consumption, and the influence of humidity on power consumption is analyzed by matching; the display state of the multi-dimensional display feature data is identified according to the humidity power consumption data, which can clarify the display state under different humidity conditions; the standby state is extracted from the display state data, which can identify the performance of the LCD screen in the standby state; the working state is extracted from the display state data, which can clarify the performance of the LCD screen in the working state; based on the standby display state data and the humidity power consumption data, the backlight brightness of the LCD screen is reduced, which can effectively reduce power consumption and optimize energy efficiency; based on the working display state data and the humidity power consumption data, the display refresh rate of the LCD screen is reduced, which can further reduce power consumption and optimize display performance; the display backlight brightness optimization measures and the display refresh rate optimization measures are integrated to perform power consumption abnormal response optimization measures; the pixel conversion voltage optimization measures and the power consumption abnormal response optimization measures are integrated to obtain response abnormality optimization data.

[0018] Preferably, step S42 includes the following steps: Step S421: extracting abnormal display brightness parameters from the abnormal viewing angle data to obtain abnormal display brightness parameters; matching the abnormal display brightness parameters with the ambient temperature data to generate temperature abnormal brightness data; Step S422: Calculate the brightness difference between the temperature abnormality brightness data and the preset visual display brightness to obtain visual display brightness difference data; dynamically compensate the display brightness difference of the liquid crystal display screen based on the visual display brightness difference data to generate display brightness adjustment measures; Step S423: extracting abnormal display color features from the abnormal viewing angle data to obtain abnormal display color features; pairing the abnormal display color features with the ambient temperature data to generate temperature abnormal color data; Step S424: performing display color accuracy detection on the temperature abnormal color data to obtain abnormal display color accuracy data; performing display screen color richness extraction on the abnormal display color accuracy data to generate abnormal display color richness; performing display color adaptive correction on the liquid crystal display screen based on the abnormal display color richness to generate display color accuracy correction measures; Step S425: Integrate the display brightness adjustment measure and the display color accuracy correction measure to obtain viewing angle abnormality adjustment data.

[0019] The present invention extracts abnormal display brightness parameters from visual angle abnormal data, and clarifies the brightness abnormality of the display screen at different viewing angles; corresponds the abnormal display brightness parameters with the ambient temperature degree data, and specifically identifies the influence of temperature on display brightness by associating the brightness abnormality with the ambient temperature; calculates the brightness difference between the temperature abnormal brightness data and the preset visual display brightness, thereby obtaining the visual display brightness difference data; dynamically compensates the display brightness difference of the liquid crystal display screen based on the visual display brightness difference data, optimizes the brightness performance of the display screen under different temperature conditions, and improves the display quality; extracts abnormal display color features from the visual angle abnormal data, and can clarify the color abnormality of the display screen at different viewing angles, providing accurate color adjustment. Data support; by pairing abnormal display color characteristics with ambient temperature data, the impact of temperature on display color can be clarified, providing a basis for subsequent color optimization; by performing display color accuracy detection on temperature abnormal color data, the color accuracy issues of the display screen under different temperature conditions can be identified, providing data support for color correction; by extracting the color richness of the display screen from abnormal display color accuracy data, the color performance capability of the display screen can be clarified; by performing adaptive display color correction on the LCD screen based on the abnormal display color richness, the color performance of the display screen is optimized, and the color accuracy and visual effects are improved; by integrating display brightness adjustment measures and display color accuracy correction measures, the performance of the display screen at different viewing angles is improved, achieving optimization of display performance.

[0020] Preferably, step S45 includes the following steps: Step S451: performing real-time display monitoring on the liquid crystal display screen to obtain display screen display monitoring data; extracting display response abnormality monitoring conditions from the display screen display monitoring data to obtain display response abnormality monitoring conditions; extracting viewing angle abnormality monitoring conditions from the display screen display monitoring data to obtain viewing angle abnormality monitoring conditions; Step S452: executing pixel conversion voltage optimization measures for display response abnormality monitoring conditions based on the display optimization model of the liquid crystal display screen, and generating pixel conversion voltage execution data; executing power consumption abnormal response optimization measures for display response abnormality monitoring conditions based on the display optimization model of the liquid crystal display screen, and generating power consumption optimization measures execution data; Step S453: performing display brightness adjustment measures for abnormal viewing angle monitoring conditions according to the display optimization model of the liquid crystal display screen, and generating display brightness adjustment execution data; performing display color accuracy correction measures for abnormal viewing angle monitoring conditions according to the display optimization model of the liquid crystal display screen, and generating display color accuracy correction execution data; Step S454: Integrate the pixel conversion voltage execution data, the power consumption optimization measure execution data, the display brightness adjustment execution data and the display color accuracy correction execution data to obtain a liquid crystal display screen display optimization report.

[0021] The present invention performs real-time display monitoring of a liquid crystal display screen according to a quality control strategy model, and can continuously track display performance; extracts display response abnormality monitoring conditions from display monitoring data of the display screen, and can extract abnormalities in response time of the display screen, providing specific abnormality data for optimizing response speed; extracts visual angle abnormality monitoring conditions from display monitoring data of the display screen, and can identify performance abnormalities of the display screen at different viewing angles, providing specific abnormality data for optimizing viewing angle performance; performs pixel conversion voltage optimization measures on display response abnormality monitoring conditions based on a display optimization model for a liquid crystal display screen, and improves the response speed and display quality of the display screen; and optimizes the display response abnormality monitoring conditions through a liquid crystal display screen display optimization model. The power consumption abnormality response optimization measures are executed according to the abnormal display response monitoring situation, so that energy consumption is reduced by optimizing the power consumption abnormality response, and the energy efficiency ratio of the display screen is improved; the display brightness adjustment measures are executed according to the LCD display optimization model for the viewing angle abnormality monitoring situation, so that the viewing angle abnormality is optimized by adjusting the display brightness; the display color correction measures are executed based on the LCD display optimization model for the viewing angle abnormality monitoring situation, which improves the color accuracy and consistency of the display screen; the pixel conversion voltage execution data, the power consumption optimization measures execution data, the display brightness adjustment execution data and the display color correction execution data are integrated to provide a display screen performance optimization report by integrating the execution data of various optimization measures.

[0022] In this specification, a liquid crystal display screen display optimization system is provided, which is used to execute the above-mentioned liquid crystal display screen display optimization method, and the liquid crystal display screen display optimization system includes: The LCD display data acquisition module is used to acquire display data of the LCD display using a sensor to obtain LCD display data; pre-process the LCD display data to obtain standard LCD display data; perform multi-dimensional feature recognition on the standard LCD display data to obtain multi-dimensional display feature data; extract key display information from the multi-dimensional display feature data to obtain key display information; The display response anomaly analysis module is used to obtain LCD screen environment data; extract display response features of key display information according to the LCD screen environment data to generate display response feature data; perform response anomaly analysis on multi-dimensional display feature data through the display response feature data to obtain display response anomaly data; The viewing angle anomaly detection module is used to determine the display color of key display information according to the liquid crystal display screen environment data to obtain display color data; record the display brightness of key display information in real time in combination with the display color data to generate display brightness data; calculate the display viewing angle of multi-dimensional display feature data according to the display brightness data and display color data to obtain display viewing angle data; perform viewing angle anomaly detection on the display viewing angle data to obtain viewing angle anomaly data; The LCD display optimization model module is used to perform intelligent response optimization on display response abnormality data and generate response abnormality optimization data; to perform adaptive adjustment on viewing angle abnormality data and obtain viewing angle abnormality adjustment data; to construct an LCD display optimization model based on the response abnormality optimization data and the viewing angle abnormality adjustment data and generate an LCD display optimization model; to optimize the display of the LCD screen based on the LCD display optimization model and obtain an LCD display optimization report.

[0023] The present invention uses a liquid crystal display screen display data acquisition module and a sensor to collect display data of a liquid crystal display screen, thereby ensuring the originality and accuracy of the data; preprocessing the collected liquid crystal display screen display data and converting it into standard liquid crystal display screen display data can remove noise and abnormal values ​​in the data and improve the quality of the data; multi-dimensional feature recognition is performed on the standard liquid crystal display screen display data, thereby fully capturing the performance characteristics of the display screen; key display information is extracted from the multi-dimensional display feature data to obtain key display information, thereby focusing on the core elements of the display screen performance and providing a precise target for optimization. Through the display response abnormality analysis module, the liquid crystal display screen environmental data is obtained to provide specific environmental information for the display screen performance analysis and ensure the accuracy of the display screen performance analysis; display response feature extraction is performed on the key display information according to the liquid crystal display screen environmental data, thereby identifying the response characteristics of the display screen in different environments and providing a basis for the subsequent optimization of the display screen; response abnormality analysis is performed on the multi-dimensional display feature data through the display response feature data, thereby timely discovering the abnormal response of the display screen. Through the viewing angle anomaly detection module, the display color of key display information is determined according to the LCD screen environment data, and the relevant situation of the display screen color is clarified; the real-time display brightness of key display information is recorded in combination with the display color data, and the brightness of the display screen can be monitored in real time; the display viewing angle of multi-dimensional display feature data is measured according to the display brightness data and display color data, and the viewing angle performance of the display screen can be evaluated, providing a data basis for subsequent viewing angle display optimization; the display viewing angle data is detected for viewing angle anomalies, and the viewing angle anomalies of the display screen can be identified. Through the LCD display optimization model module, the display response abnormal data is intelligently optimized, and the abnormal response can be optimized through an intelligent algorithm, thereby improving the performance of the display screen in terms of response; the visual angle abnormal data is adaptively adjusted, and the viewing angle abnormality is adjusted through adaptive technology, thereby improving the performance of the display screen in terms of the visual angle display; the LCD display optimization model is constructed according to the response abnormality optimization data and the visual angle abnormality adjustment data, and a LCD display optimization model is generated, which can optimize the display of the LCD screen; the LCD screen is optimized according to the LCD display optimization model, and a LCD display optimization report is obtained, which can achieve an overall improvement in the performance of the display screen, and a detailed record of the optimization results is provided in the form of a report. Therefore, the present invention realizes the analysis of specific environmental conditions through data processing technology, image recognition technology and intelligent control technology, so as to obtain the LCD display abnormality caused by environmental influences; and the LCD display abnormality is dynamically optimized and adjusted, thereby improving the display effect of the LCD screen. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1A schematic diagram of the steps of a method for optimizing the display of a liquid crystal display; Figure 2 for Figure 1 Detailed implementation steps of step S3 in FIG. Figure 3 for Figure 2 Detailed implementation steps of step S34 are shown in the flowchart; The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0025] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are 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 technicians in this field without creative work are within the scope of protection of the present invention.

[0026] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0027] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0028] To achieve this, please refer to Figures 1 to 3 , a method for optimizing the display of a liquid crystal display screen, the method comprising the following steps: Step S1: using a sensor to collect display data of a liquid crystal display screen to obtain display data of the liquid crystal display screen; preprocessing the display data of the liquid crystal display screen to obtain display data of a standard liquid crystal display screen; performing multi-dimensional feature recognition on the display data of the standard liquid crystal display screen to obtain multi-dimensional display feature data; extracting key display information from the multi-dimensional display feature data to obtain key display information; Step S2: acquiring liquid crystal display screen environment data; extracting display response characteristics of key display information according to the liquid crystal display screen environment data to generate display response characteristic data; performing response anomaly analysis on multi-dimensional display characteristic data through the display response characteristic data to obtain display response anomaly data; Step S3: determining the display color of key display information according to the liquid crystal display screen environment data to obtain display color data; recording the display brightness of key display information in real time in combination with the display color data to generate display brightness data; measuring the display viewing angle of multi-dimensional display feature data according to the display brightness data and the display color data to obtain display viewing angle data; performing viewing angle anomaly detection on the display viewing angle data to obtain viewing angle anomaly data; Step S4: perform intelligent response optimization on the display response abnormality data to generate response abnormality optimization data; perform adaptive adjustment on the viewing angle abnormality data to obtain viewing angle abnormality adjustment data; construct a LCD display optimization model based on the response abnormality optimization data and the viewing angle abnormality adjustment data to generate a LCD display optimization model; perform display optimization on the LCD screen based on the LCD display optimization model to obtain a LCD display optimization report.

[0029] The present invention uses sensors to collect display data of a liquid crystal display screen, ensuring the originality and accuracy of the data; preprocessing the collected liquid crystal display screen display data, converting it into standard liquid crystal display screen display data, can remove noise and abnormal values ​​in the data, and improve the quality of the data; multi-dimensional feature recognition is performed on the standard liquid crystal display screen display data, which can comprehensively capture the performance characteristics of the display screen; key display information is extracted from the multi-dimensional display feature data to obtain key display information, so as to focus on the core elements of the display screen performance and provide a precise target for optimization. The liquid crystal display screen environmental data is obtained to provide specific environmental information for the display screen performance analysis, ensuring the accuracy of the display screen performance analysis; display response feature extraction is performed on the key display information according to the liquid crystal display screen environmental data, so as to identify the response characteristics of the display screen in different environments, and provide a basis for the subsequent optimization of the display screen; response abnormality analysis is performed on the multi-dimensional display feature data by display response feature data, so as to timely discover the abnormal response of the display screen. According to the LCD screen environment data, the display color of key display information is determined to clarify the relevant situation of the display screen color; the key display information is recorded in real time in combination with the display color data, and the brightness of the display screen can be monitored in real time; the display viewing angle of multi-dimensional display feature data is measured according to the display brightness data and display color data, and the viewing angle performance of the display screen can be evaluated, providing a data basis for the subsequent viewing angle display optimization; the display viewing angle data is detected for viewing angle anomalies, and the viewing angle anomalies of the display screen can be identified. Intelligent response optimization is performed on the display response anomaly data, and the abnormal response can be optimized through intelligent algorithms, thereby improving the response performance of the display screen; the viewing angle anomaly data is adaptively adjusted, and the viewing angle anomaly is adjusted through adaptive technology, thereby improving the viewing angle display performance of the display screen; the LCD display optimization model is constructed according to the response anomaly optimization data and the viewing angle anomaly adjustment data, and the LCD display optimization model is generated, which can optimize the display of the LCD screen; the LCD display is optimized according to the LCD display optimization model, and the LCD display optimization report is obtained, which can achieve an overall improvement in the performance of the display screen, and a detailed record of the optimization results is provided in the form of a report. Therefore, the present invention uses data processing technology, image recognition technology and intelligent control technology to analyze specific environmental conditions to obtain abnormal display conditions of the LCD screen caused by environmental influences; and dynamically optimizes and adjusts the display of abnormal conditions on the LCD screen, thereby improving the display effect of the LCD screen.

[0030] In the embodiment of the present invention, reference Figure 1 The above is a schematic diagram of the steps of a liquid crystal display screen display optimization method of the present invention. In this example, the liquid crystal display screen display optimization method includes the following steps: Step S1: using a sensor to collect display data of a liquid crystal display screen to obtain display data of the liquid crystal display screen; preprocessing the display data of the liquid crystal display screen to obtain display data of a standard liquid crystal display screen; performing multi-dimensional feature recognition on the display data of the standard liquid crystal display screen to obtain multi-dimensional display feature data; extracting key display information from the multi-dimensional display feature data to obtain key display information; In an embodiment of the present invention, a spectral radiometer is used to collect data from a liquid crystal display screen; the collected raw data is preprocessed, specifically including normalization processing, centering processing and noise reduction processing; a filter is further designed using an interference bandwidth to filter outside the interference band, thereby reducing the influence of noise and clutter to obtain standard liquid crystal display screen display data; multi-dimensional feature recognition is performed on the standard liquid crystal display screen display data, specifically extracting multi-dimensional feature parameters from the time domain, frequency domain and transform domain; for example, the moment kurtosis coefficient in the time domain and the average spectrum flatness coefficient in the frequency domain are used to extract multi-dimensional feature parameters; based on the multi-dimensional display feature data, a classifier such as a decision tree or a support vector machine (SVM) is used to extract key display information; specifically, the multi-dimensional feature recognition technology is used to extract key information from the liquid crystal display screen display data; for example, the multi-dimensional display feature data is judged by an SVM identifier to extract key information such as display brightness and display color.

[0031] Step S2: acquiring liquid crystal display screen environment data; extracting display response characteristics of key display information according to the liquid crystal display screen environment data to generate display response characteristic data; performing response anomaly analysis on multi-dimensional display characteristic data through the display response characteristic data to obtain display response anomaly data; In an embodiment of the present invention, environmental sensors, such as temperature sensors, humidity sensors, and light intensity sensors, are used to monitor the environmental conditions of the liquid crystal display screen in real time; for example, temperature data is obtained using a temperature sensor, humidity data is obtained using a temperature and humidity sensor, and light intensity data is obtained using a photodiode; display response features are extracted using image processing technology based on the environmental data of the liquid crystal display screen; for example, OpenCV technology is used to perform feature point detection on the image of the liquid crystal display screen, and features such as corner points and edges are extracted; specifically, the FAST feature detection algorithm is used, and the threshold is set to 80 to detect key feature points in the image, and the location and intensity information of the feature points are stored; a machine learning algorithm, such as a support vector machine (SVM), is used to classify the display response feature data and identify abnormal data; for example, the SVM is used to perform binary classification on the feature data to distinguish between normal and abnormal display responses; specifically, based on the extracted display response feature data, an SVM classifier is constructed, the feature point data is input, and the classification result is output; by analyzing the classification result, abnormal data in the display response, such as display tearing, is identified.

[0032] Step S3: determining the display color of key display information according to the liquid crystal display screen environment data to obtain display color data; recording the display brightness of key display information in real time in combination with the display color data to generate display brightness data; measuring the display viewing angle of multi-dimensional display feature data according to the display brightness data and the display color data to obtain display viewing angle data; performing viewing angle anomaly detection on the display viewing angle data to obtain viewing angle anomaly data; In the embodiment of the present invention, a color measuring instrument is used to accurately measure the color displayed on the liquid crystal display screen and record the LAB value; specifically, the LAB value of the color is provided, including the L component (brightness), the A component (ranging from magenta to dark green), and the B component (ranging from yellow to blue); a photometer is used to monitor the brightness of the liquid crystal display screen in real time, and the light output intensity of the display screen under different brightness settings is measured; specifically, when the display screen displays a series of standard test images, the process of display brightness changing from 200cd / m² to 100cd / m² is recorded; a viewing angle tester is used, Measure the color and contrast changes of the LCD screen at different angles to determine the horizontal and vertical viewing angles. Specifically, measure the viewing angle of the display and record the color and contrast data at different angles. For example, the horizontal viewing angle is measured to be 178° and the vertical viewing angle is 178°. Use computer vision technology, such as feature extraction and matching algorithms, to analyze the display viewing angle data and identify abnormal angle changes. For example, it is found that at a certain angle, the matching degree of the key points of the image is significantly reduced, indicating that the angle is a viewing angle abnormal point, and the viewing angle abnormal data is obtained.

[0033] Step S4: perform intelligent response optimization on the display response abnormality data to generate response abnormality optimization data; perform adaptive adjustment on the viewing angle abnormality data to obtain viewing angle abnormality adjustment data; construct a LCD display optimization model based on the response abnormality optimization data and the viewing angle abnormality adjustment data to generate a LCD display optimization model; perform display optimization on the LCD screen based on the LCD display optimization model to obtain a LCD display optimization report.

[0034] In an embodiment of the present invention, a display optimization technology is adopted, specifically by synchronizing the refresh rate of the display with the frame rate of the graphics card to reduce screen tearing and stuttering; further, the OverDrive technology is used to increase the driving voltage to improve the pixel response speed and reduce the ghosting phenomenon; the display optimization technology is used again to adaptively adjust the viewing angle of the display screen; deep learning technology is used to combine the response abnormality optimization data and the viewing angle abnormality adjustment data to construct a liquid crystal display screen display optimization model; the liquid crystal display screen is optimized according to the liquid crystal display screen display optimization model, and corresponding optimization measures are executed for different abnormal situations of the display screen, thereby obtaining a liquid crystal display screen display optimization report.

[0035] Preferably, step S2 comprises the following steps: Step S21: using sensors to obtain liquid crystal display screen environment data, including display screen environment temperature characteristics and display screen environment humidity characteristics; Step S22: extracting display screen environmental humidity features from the liquid crystal display screen environmental data to obtain display screen environmental humidity data; measuring the environmental humidity level of the display screen environmental humidity data to generate environmental humidity level data; Step S23: extracting display brightness characteristics of key display information based on the environmental humidity data to generate display brightness characteristic data; performing brightness change recognition on the display brightness characteristic data to obtain display brightness change data; performing response time characteristic recognition on the display brightness change data to generate response time characteristic data; performing power consumption response detection on the response time characteristic data to obtain response power consumption characteristic data; integrating the response time characteristic data and the response power consumption characteristic data to obtain display response characteristic data; Step S24: performing response anomaly analysis on the multi-dimensional display characteristic data through the display response characteristic data to obtain display response anomaly data.

[0036] In an embodiment of the present invention, environmental sensors, such as digital temperature sensors and temperature and humidity sensors, are used to monitor the ambient temperature and humidity conditions of the liquid crystal display screen in real time; a microcontroller is used to read the data of the sensor and extract the environmental humidity characteristics of the display screen. For example, if the humidity reading is 60%RH, the data is recorded as environmental humidity level data; based on the environmental humidity level data, an ambient light sensor is used to record the brightness data of the display screen, and at the same time, a pulse width modulation signal is used to identify the display brightness change, and the response time of the display brightness change data is measured to generate response time characteristic data; while changing the display brightness, an electronic load is used to test the power consumption change of the liquid crystal display screen, and specifically by comparing the power consumption data before and after the brightness change, response power consumption characteristic data is generated; and the response time characteristic data is integrated with the response time characteristic data to finally generate display response characteristic data; for example, the increase in brightness causes the power consumption to increase from 2W to 2.5W, which will be integrated and recorded; the multi-dimensional display characteristic data is analyzed for response anomaly by displaying the response characteristic data, and the response anomaly is specifically analyzed to obtain the display response anomaly data.

[0037] Preferably, step S24 includes the following steps: Step S241: extracting the pixel features of the liquid crystal display screen from the multi-dimensional display feature data to obtain the pixel features of the liquid crystal display screen; marking the grayscale status of the pixel points on the liquid crystal display screen pixel features to generate the grayscale status data of the pixel points; Step S242: performing state type identification on the grayscale state data of the pixel point to obtain grayscale state type data; performing type conversion time measurement on the grayscale state type data by displaying the response characteristic data to generate the grayscale state conversion time; performing display screen drag recording on the multi-dimensional display characteristic data according to the grayscale state conversion time to obtain display screen drag information; performing display time anomaly detection on the display screen drag information to generate time anomaly response data; Step S243: monitoring the state power consumption of the multi-dimensional display characteristic data according to the grayscale state type data to obtain state type power consumption data; comparing the state type power consumption data with the preset state type power consumption data, and if the state type power consumption data is greater than the preset state type power consumption data, marking the state type power consumption data as power consumption abnormality response data; Step S244: Integrate the time abnormal response data and the power consumption abnormal response data to obtain display response abnormal data.

[0038] In an embodiment of the present invention, a high-resolution camera is used to capture an image of a liquid crystal display screen to obtain high-definition image data of the display screen; further, OpenCV technology is used to perform image processing, including grayscale and binarization processing, for example, the imread function of OpenCV is used to read the image in grayscale mode, and local binarization processing is performed to highlight the numbers in the display area; the connected area in the binary image is identified by the connected domain analysis function of OpenCV, and the grayscale state is marked, for example, the connected domain analysis is performed on the binarized image, the digital main area is extracted, and the grayscale state data is marked; the state space model identification toolbox of MATLAB is used to analyze the dynamic response of the display screen and identify the smear phenomenon; the load analyzer is used to monitor the power consumption of the liquid crystal display screen in different grayscale states, and the real-time monitored power consumption data is compared with the preset power consumption threshold, for example, the preset power consumption threshold is set to 5W, and the power consumption data exceeding the threshold is marked as abnormal; the time abnormal response data and the power consumption abnormal response data are integrated by using data fusion technology to form complete display response abnormal data.

[0039] As an example of the present invention, refer to Figure 2 As shown, in this example, step S3 includes: Step S31: extracting display screen ambient temperature characteristics from the liquid crystal display screen ambient data to obtain display screen ambient temperature data; calculating the ambient temperature degree of the display screen ambient temperature data to generate ambient temperature degree data; and identifying display color characteristics of key display information according to the ambient temperature degree data to obtain display color data; Step S32: Based on the display color data, the display brightness characteristic data is monitored in real time to obtain display brightness monitoring data; brightness parameter mapping is performed on the display brightness monitoring data to generate display brightness mapping parameters; and real-time parameter recording is performed on the display brightness mapping parameters to generate display brightness data; Step S33: extracting display brightness distribution features from the display brightness data to obtain display brightness distribution features; performing brightness partitioning on the display brightness distribution features according to the display brightness distribution features to generate display brightness area information; performing color difference marking on the display color data according to the display brightness area information to generate display color difference data; Step S34: performing display viewing angle measurement on the multi-dimensional display feature data based on the display color difference data to obtain display viewing angle data; performing viewing angle anomaly detection on the display viewing angle data to obtain viewing angle anomaly data.

[0040] In the embodiment of the present invention, feature extraction technology is used to extract display screen ambient temperature features from liquid crystal display screen environmental data; sensor data is read by a microcontroller to calculate the ambient temperature degree, thereby generating ambient temperature degree data; a color measuring instrument is used to identify the display color, measure the color features of the liquid crystal display, record the LAB value, and specifically provide the LAB value of the color, including the L component (brightness), the A component (ranging from magenta to dark green), and the B component (ranging from yellow to blue); at the same time, the display brightness is monitored in real time by a sensor to obtain display brightness monitoring data; the display brightness monitoring data is processed by OpenCV to extract display brightness distribution features; then, the RGB color data is converted to the Lab color space, the color difference is marked, and the display color difference data is generated; a viewing angle calculator is used to calculate the viewing angle according to the visible size and the observation point distance, and based on the display viewing angle data, an abnormality detection algorithm is used to detect the visual angle abnormality to obtain the display color difference data; the viewing angle is calculated by the viewing angle calculator according to the display color difference data; the visual angle is detected abnormally on the visual angle data to generate the visual angle abnormality data.

[0041] As an example of the present invention, refer to Figure 3 As shown, in this example, step S34 includes: Step S341: setting display observation points for the multi-dimensional display feature data based on the display color difference data to obtain display observation point data; performing display angle simulation on the multi-dimensional display feature data according to the display observation point data to generate display angle simulation data; Step S342: using a camera to collect display images of display angle simulation data to obtain simulated angle display image information; performing image feature enhancement on the simulated angle display image information to generate a simulated angle feature enhanced image; performing display parameter recording on the simulated angle feature enhanced image to obtain simulated angle display parameter information; Step S343: performing display brightness state identification on the analog angle display parameter information to obtain analog angle brightness state data; performing visual brightness feature marking on the analog angle brightness state data to generate visual brightness feature data; performing display color state determination on the analog angle display parameter information according to the visual brightness feature data to generate analog angle color state data; performing visual color feature marking on the analog angle color state data to obtain visual color feature data; Step S344: performing display viewing angle parameter identification on the display angle simulation data based on the visible brightness characteristic data and the visible color characteristic data to obtain display viewing angle parameters; performing angle measurement on the display viewing angle parameters to obtain display viewing angle data; Step S345: performing brightness display abnormality detection on the multi-dimensional display feature data according to the display viewing angle data to generate visible brightness display abnormality data; performing visible color display abnormality detection on the multi-dimensional display feature data in combination with the visible brightness display abnormality data and the display viewing angle data to obtain visible color display abnormality data; Step S346: Integrate the visual brightness display abnormality data and the visual color display abnormality data to generate visual angle abnormality data.

[0042] In an embodiment of the present invention, based on the display color difference data, computer vision technology, such as OpenCV library, is used to perform visual analysis on multi-dimensional display feature data to determine key observation points; a ray tracing algorithm is used to simulate the propagation path of light at different display angles to generate display angle simulation data; a camera is used to perform image acquisition on the display angle simulation data through the OpenCV library to obtain simulated angle display image information; image processing technology, such as histogram equalization and sharpening filtering, is used to perform feature enhancement on the simulated angle display image information to obtain a simulated angle feature enhanced image; a camera is used to acquire an image of the display angle simulation data, and through OpenCV technology, histogram equalization and sharpening filters are applied to enhance image features to obtain a simulated angle feature enhanced image; based on the simulated angle display parameter information, an image brightness analysis method, such as an image brightness analysis tool in MATLAB, is used to identify the display brightness state; according to the display brightness state data , use computer vision technology to mark the visible brightness features and obtain visible brightness feature data; specifically, use MATLAB to analyze the brightness state of the simulated angle display parameter information, use computer vision technology to mark the brightness features and obtain visible brightness feature data; based on the visible brightness feature data and the visual color feature data, use the angle measurement algorithm to identify the visual angle parameters of the display angle simulation data; perform angle measurement according to the visual angle parameters; specifically, analyze the visible brightness and color feature data to specifically identify the display visual angle parameters; further measure the angle to obtain display visual angle data; combine the visible brightness display abnormality data and the display visual angle data, use color abnormality detection technology, such as color histogram analysis, to perform visual color display abnormality detection on the multi-dimensional display feature data to obtain visual color display abnormality data; integrate the visible brightness display abnormality data and the visual color display abnormality data to obtain the visual angle abnormality data.

[0043] Preferably, step S4 comprises the following steps: Step S41: performing intelligent response optimization on the display response abnormality data to generate response abnormality optimization data; Step S42: adaptively adjusting the viewing angle abnormality data to obtain viewing angle abnormality adjustment data; Step S43: constructing a liquid crystal display screen display optimization model according to the response abnormality optimization data and the viewing angle abnormality adjustment data to obtain a liquid crystal display screen display optimization pre-model; and training the liquid crystal display screen display optimization pre-model using the response abnormality optimization data and the viewing angle abnormality adjustment data to obtain a liquid crystal display screen display optimization training model; Step S44: performing model cross-validation evaluation on the LCD display optimization training model to obtain model evaluation data; adjusting model parameters of the LCD display optimization training model using the model evaluation data to obtain the LCD display optimization model; Step S45: Optimizing the display of the LCD screen according to the LCD screen display optimization model to obtain an LCD screen display optimization report.

[0044] In an embodiment of the present invention, an image processing technology, such as an OpenCV library, is used to analyze and optimize the display response abnormality data to obtain response abnormality optimization data; the response abnormality optimization data is used to perform intelligent display response optimization on the liquid crystal display screen; the viewing angle abnormality data is adaptively adjusted to obtain viewing angle abnormality adjustment data; the display parameters are dynamically adjusted according to the ambient light and the user's viewing angle using an adaptive algorithm; based on the response abnormality optimization data and the viewing angle abnormality adjustment data, a machine learning framework, such as an SVM algorithm, is used to construct a liquid crystal display screen display optimization pre-model; a cross-validation method, such as K-fold cross-validation, is used to train the liquid crystal display screen display optimization pre-model to improve the generalization ability and stability of the model; the cross_val_score function in scikit-learn is specifically used to perform model cross-validation evaluation to obtain model evaluation data; specifically, the cross_val_score function is used to perform a 5-fold cross-validation evaluation on the trained model to obtain evaluation indicators such as the accuracy and recall rate of the model; then, the C parameter and the kernel function parameter of the SVM algorithm are adjusted according to the evaluation result to obtain the best classification performance; according to the optimized liquid crystal display screen display optimization model, the liquid crystal display screen is displayed optimized, and an optimization report is generated.

[0045] Preferably, step S41 includes the following steps: Step S411: Calculate the duration of the time abnormal response on the display response abnormal data to obtain time abnormal duration data; associate the time abnormal duration data with the environmental humidity degree data to perform humidity abnormal time correlation to generate humidity abnormal time data; Step S412: extracting pixel conversion features of the liquid crystal display screen pixel features according to the humidity abnormality time data to obtain pixel conversion feature data; converting the pixel conversion feature data into voltage records to obtain pixel conversion voltage values; calculating the duration value of the time abnormality duration data to generate the abnormality duration value; Step S413: numerically mapping the abnormal duration value and the pixel conversion voltage value to obtain the time abnormality-pixel conversion value; intelligently improving the pixel conversion voltage of the liquid crystal display screen display data based on the time abnormality-pixel conversion value to generate pixel conversion voltage optimization measures; Step S414: Calculate the power consumption abnormality degree of the display response abnormal data to obtain power consumption abnormality degree data; match the power consumption abnormality degree data with the environmental humidity degree data to generate humidity power consumption situation data; identify the display state of the multi-dimensional display feature data according to the humidity power consumption situation data to obtain display state data; extract the standby state of the display state data to generate standby display state data; extract the working state of the display state data to generate working display state data; Step S415: based on the standby display state data and the humidity power consumption data, the backlight brightness of the liquid crystal display screen is reduced to obtain a backlight brightness optimization measure for the liquid crystal display screen; based on the working display state data and the humidity power consumption data, the display refresh rate of the liquid crystal display screen is reduced to obtain a display refresh rate optimization measure; the backlight brightness optimization measure and the display refresh rate optimization measure are integrated to perform a power consumption abnormality response optimization measure; Step S416: Integrate the pixel conversion voltage optimization measure and the power consumption abnormal response optimization measure to obtain abnormal response optimization data.

[0046] In an embodiment of the present invention, an event-driven programming technology is used to record the timestamps of the occurrence and end of the display response anomaly, and the duration is calculated by the difference of the timestamps; a relative humidity sensor is used to combine the environmental humidity level data and the time anomaly duration data, and the humidity anomaly time data is determined by data association analysis; based on image processing technology, such as OpenCV technology, the pixel characteristics of the liquid crystal display are analyzed to extract the pixel conversion characteristics; an analog-to-digital converter (ADC) technology is used to record the voltage change corresponding to the pixel conversion; OpenCV is used to analyze the pixel characteristics of the liquid crystal display to extract the pixel conversion characteristic data; and the voltage value corresponding to the pixel conversion characteristic data is recorded to generate a pixel conversion voltage value; through a mapping algorithm, the abnormal duration value is associated with the pixel conversion voltage value; based on the numerical mapping result, fuzzy logic control technology is used to intelligently adjust the pixel conversion voltage; the abnormal duration value and the pixel conversion voltage value are numerically mapped to obtain the time anomaly-pixel conversion value. Then, a fuzzy logic controller is applied to intelligently increase the pixel conversion voltage and generate pixel conversion voltage optimization measures; the power consumption monitoring technology is used to calculate the power consumption abnormality of the display response abnormality data; the humidity power consumption data is determined through data matching analysis in combination with the environmental humidity data; pattern recognition technology, such as support vector machine (SVM), is used to classify the display status data and extract the standby and working states; based on the standby display status data, the backlight control technology of the LCD screen is used to reduce the backlight brightness; according to the working display status data, the refresh rate of the LCD screen is adjusted; the pixel conversion voltage optimization measures and the power consumption abnormality response optimization measures are integrated to obtain the response abnormality optimization data.

[0047] Preferably, step S42 includes the following steps: Step S421: extracting abnormal display brightness parameters from the abnormal viewing angle data to obtain abnormal display brightness parameters; matching the abnormal display brightness parameters with the ambient temperature data to generate temperature abnormal brightness data; Step S422: Calculate the brightness difference between the temperature abnormality brightness data and the preset visual display brightness to obtain visual display brightness difference data; dynamically compensate the display brightness difference of the liquid crystal display screen based on the visual display brightness difference data to generate display brightness adjustment measures; Step S423: extracting abnormal display color features from the abnormal viewing angle data to obtain abnormal display color features; pairing the abnormal display color features with the ambient temperature data to generate temperature abnormal color data; Step S424: performing display color accuracy detection on the temperature abnormal color data to obtain abnormal display color accuracy data; performing display screen color richness extraction on the abnormal display color accuracy data to generate abnormal display color richness; performing display color adaptive correction on the liquid crystal display screen based on the abnormal display color richness to generate display color accuracy correction measures; Step S425: Integrate the display brightness adjustment measure and the display color accuracy correction measure to obtain viewing angle abnormality adjustment data.

[0048] In the embodiment of the present invention, OpenCV is used to analyze the visual angle abnormal data of the liquid crystal display screen, extract the parameters of the brightness abnormal area, and record them as abnormal display brightness parameters; in combination with the ambient temperature degree data, a linear mapping algorithm is applied, and a linear or nonlinear mapping technique is used to correspond the abnormal display brightness parameters to the ambient temperature degree data to generate temperature abnormal brightness data; a numerical analysis method, such as the numerical calculation function in MATLAB, is used to calculate the brightness difference between the temperature abnormal brightness data and the preset visual display brightness, for example, the preset visual display brightness is set to 300. cd / m²; based on the brightness difference data, use the display brightness adjustment technology, such as PWM control, to dynamically compensate the display brightness difference of the LCD screen; apply the color extraction method to analyze the abnormal viewing angle data of the LCD screen, extract the characteristics of the color abnormal area, and record it as the abnormal display color characteristics; combine the ambient temperature data, use statistical analysis methods, such as correlation analysis, to match the abnormal display color characteristics with the ambient temperature data; use color calibration technology, such as ICC profile, to perform display color accuracy detection on the temperature abnormal color data; use image analysis technology, such as color histogram analysis, to extract the color richness of the display screen from the abnormal display color data; based on the abnormal display color richness, use an adaptive algorithm to perform adaptive display color correction on the LCD screen; integrate the display brightness adjustment measures and the display color accuracy correction measures to form the viewing angle abnormal adjustment data.

[0049] Preferably, step S45 includes the following steps: Step S451: performing real-time display monitoring on the liquid crystal display screen to obtain display screen display monitoring data; extracting display response abnormality monitoring conditions from the display screen display monitoring data to obtain display response abnormality monitoring conditions; extracting viewing angle abnormality monitoring conditions from the display screen display monitoring data to obtain viewing angle abnormality monitoring conditions; Step S452: executing pixel conversion voltage optimization measures for display response abnormality monitoring conditions based on the display optimization model of the liquid crystal display screen, and generating pixel conversion voltage execution data; executing power consumption abnormal response optimization measures for display response abnormality monitoring conditions based on the display optimization model of the liquid crystal display screen, and generating power consumption optimization measures execution data; Step S453: performing display brightness adjustment measures for the abnormal viewing angle monitoring situation based on the display optimization model of the liquid crystal display screen, and generating display brightness adjustment execution data; performing display color accuracy correction measures for the abnormal viewing angle monitoring situation based on the display optimization model of the liquid crystal display screen, and generating display color accuracy correction execution data; Step S454: Integrate the pixel conversion voltage execution data, the power consumption optimization measure execution data, the display brightness adjustment execution data and the display color accuracy correction execution data to obtain a liquid crystal display screen display optimization report.

[0050] In the embodiment of the present invention, vision and image processing technology is used to specifically monitor display response abnormality and viewing angle abnormality; an image sensor is used to extract display response abnormality monitoring conditions by analyzing pixel signal changes; viewing angle abnormality is identified based on the viewing angle limitation and improvement technology of the liquid crystal display; a pixel conversion voltage is adjusted for the liquid crystal display based on a display optimization model of the liquid crystal display, pixel conversion voltage optimization measures are executed, and pixel conversion voltage execution data is generated; power consumption abnormal response optimization measures are executed for the liquid crystal display based on the display optimization model of the liquid crystal display, and power consumption optimization measures execution data is generated; the liquid crystal display backlight brightness is adjusted for the liquid crystal display according to the display optimization model of the liquid crystal display, and display brightness adjustment execution data is generated; display color accuracy is adjusted specifically according to gamma, brightness, contrast and color, and display color accuracy correction execution data is obtained; and pixel conversion voltage execution data, power consumption optimization measures execution data, display brightness adjustment execution data and display color accuracy correction execution data are integrated using data fusion technology to obtain a display optimization report for the liquid crystal display.

[0051] In this specification, a liquid crystal display screen display optimization system is provided, which is used to execute the above-mentioned liquid crystal display screen display optimization method, and the liquid crystal display screen display optimization system includes: The LCD display data acquisition module is used to acquire display data of the LCD display using a sensor to obtain LCD display data; pre-process the LCD display data to obtain standard LCD display data; perform multi-dimensional feature recognition on the standard LCD display data to obtain multi-dimensional display feature data; extract key display information from the multi-dimensional display feature data to obtain key display information; The display response anomaly analysis module is used to obtain LCD screen environment data; extract display response features of key display information according to the LCD screen environment data to generate display response feature data; perform response anomaly analysis on multi-dimensional display feature data through the display response feature data to obtain display response anomaly data; The viewing angle anomaly detection module is used to determine the display color of key display information according to the liquid crystal display screen environment data to obtain display color data; record the display brightness of key display information in real time in combination with the display color data to generate display brightness data; calculate the display viewing angle of multi-dimensional display feature data according to the display brightness data and display color data to obtain display viewing angle data; perform viewing angle anomaly detection on the display viewing angle data to obtain viewing angle anomaly data; The LCD display optimization model module is used to perform intelligent response optimization on display response abnormality data and generate response abnormality optimization data; to perform adaptive adjustment on viewing angle abnormality data and obtain viewing angle abnormality adjustment data; to construct an LCD display optimization model based on the response abnormality optimization data and the viewing angle abnormality adjustment data and generate an LCD display optimization model; to optimize the display of the LCD screen based on the LCD display optimization model and obtain an LCD display optimization report.

[0052] The present invention uses a liquid crystal display screen display data acquisition module and a sensor to collect display data of a liquid crystal display screen, thereby ensuring the originality and accuracy of the data; preprocessing the collected liquid crystal display screen display data and converting it into standard liquid crystal display screen display data can remove noise and abnormal values ​​in the data and improve the quality of the data; multi-dimensional feature recognition is performed on the standard liquid crystal display screen display data, thereby fully capturing the performance characteristics of the display screen; key display information is extracted from the multi-dimensional display feature data to obtain key display information, thereby focusing on the core elements of the display screen performance and providing a precise target for optimization. Through the display response abnormality analysis module, the liquid crystal display screen environmental data is obtained to provide specific environmental information for the display screen performance analysis and ensure the accuracy of the display screen performance analysis; display response feature extraction is performed on the key display information according to the liquid crystal display screen environmental data, thereby identifying the response characteristics of the display screen in different environments and providing a basis for the subsequent optimization of the display screen; response abnormality analysis is performed on the multi-dimensional display feature data through the display response feature data, thereby timely discovering the abnormal response of the display screen. Through the viewing angle anomaly detection module, the display color of key display information is determined according to the LCD screen environment data, and the relevant situation of the display screen color is clarified; the real-time display brightness of key display information is recorded in combination with the display color data, and the brightness of the display screen can be monitored in real time; the display viewing angle of multi-dimensional display feature data is measured according to the display brightness data and display color data, and the viewing angle performance of the display screen can be evaluated, providing a data basis for subsequent viewing angle display optimization; the display viewing angle data is detected for viewing angle anomalies, and the viewing angle anomalies of the display screen can be identified. Through the LCD display optimization model module, the display response abnormal data is intelligently optimized, and the abnormal response can be optimized through an intelligent algorithm, thereby improving the performance of the display screen in terms of response; the visual angle abnormal data is adaptively adjusted, and the viewing angle abnormality is adjusted through adaptive technology, thereby improving the performance of the display screen in terms of the visual angle display; the LCD display optimization model is constructed according to the response abnormality optimization data and the visual angle abnormality adjustment data, and a LCD display optimization model is generated, which can optimize the display of the LCD screen; the LCD screen is optimized according to the LCD display optimization model, and a LCD display optimization report is obtained, which can achieve an overall improvement in the performance of the display screen, and a detailed record of the optimization results is provided in the form of a report. Therefore, the present invention realizes the analysis of specific environmental conditions through data processing technology, image recognition technology and intelligent control technology, so as to obtain the LCD display abnormality caused by environmental influences; and the LCD display abnormality is dynamically optimized and adjusted, thereby improving the display effect of the LCD screen.

[0053] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0054] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for optimizing the display of a liquid crystal display, characterized in that: The following steps are involved: Step S1: using a sensor to collect display data of a liquid crystal display screen to obtain display data of the liquid crystal display screen; Preprocessing the display data of the liquid crystal display screen to obtain standard display data of the liquid crystal display screen; Performing multi-dimensional feature recognition on the display data of the standard liquid crystal display screen to obtain multi-dimensional display feature data; Extracting key display information from the multi-dimensional display feature data to obtain key display information; Step S2: acquiring liquid crystal display screen environment data; extracting display response characteristics of key display information according to the liquid crystal display screen environment data to generate display response characteristic data; performing response anomaly analysis on multi-dimensional display characteristic data through the display response characteristic data to obtain display response anomaly data; Step S3: determining the display color of the key display information according to the liquid crystal display screen environment data to obtain display color data; recording the display brightness of the key display information in real time in combination with the display color data to generate display brightness data; Performing display viewing angle measurement on the multi-dimensional display feature data according to the display brightness data and the display color data to obtain display viewing angle data; performing viewing angle anomaly detection on the display viewing angle data to obtain viewing angle anomaly data; Step S4: performing intelligent response optimization on the display response abnormality data to generate response abnormality optimization data; Adaptively adjust the viewing angle abnormality data to obtain viewing angle abnormality adjustment data; construct a liquid crystal display optimization model based on the response abnormality optimization data and the viewing angle abnormality adjustment data to generate a liquid crystal display optimization model; optimize the display of the liquid crystal display based on the liquid crystal display optimization model to obtain a liquid crystal display optimization report.

2. The method for optimizing the display of a liquid crystal display screen according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: using sensors to obtain liquid crystal display screen environment data, including display screen environment temperature characteristics and display screen environment humidity characteristics; Step S22: extracting display screen environmental humidity features from the liquid crystal display screen environmental data to obtain display screen environmental humidity data; measuring the environmental humidity level of the display screen environmental humidity data to generate environmental humidity level data; Step S23: extracting display brightness characteristics of key display information based on the environmental humidity data to generate display brightness characteristic data; performing brightness change recognition on the display brightness characteristic data to obtain display brightness change data; performing response time characteristic recognition on the display brightness change data to generate response time characteristic data; performing power consumption response detection on the response time characteristic data to obtain response power consumption characteristic data; integrating the response time characteristic data and the response power consumption characteristic data to obtain display response characteristic data; Step S24: performing response anomaly analysis on the multi-dimensional display characteristic data through the display response characteristic data to obtain display response anomaly data.

3. The method for optimizing the display of a liquid crystal display screen according to claim 2, characterized in that: Step S24 includes the following steps: Step S241: extracting the pixel features of the liquid crystal display screen from the multi-dimensional display feature data to obtain the pixel features of the liquid crystal display screen; marking the grayscale status of the pixel points on the liquid crystal display screen pixel features to generate the grayscale status data of the pixel points; Step S242: performing state type identification on the grayscale state data of the pixel point to obtain grayscale state type data; performing type conversion time measurement on the grayscale state type data by displaying the response characteristic data to generate the grayscale state conversion time; performing display screen drag recording on the multi-dimensional display characteristic data according to the grayscale state conversion time to obtain display screen drag information; performing display time anomaly detection on the display screen drag information to generate time anomaly response data; Step S243: monitoring the state power consumption of the multi-dimensional display characteristic data according to the grayscale state type data to obtain state type power consumption data; comparing the state type power consumption data with the preset state type power consumption data, and if the state type power consumption data is greater than the preset state type power consumption data, marking the state type power consumption data as power consumption abnormality response data; Step S244: Integrate the time abnormal response data and the power consumption abnormal response data to obtain display response abnormal data.

4. The method for optimizing the display of a liquid crystal display screen according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: extracting display screen ambient temperature characteristics from the liquid crystal display screen ambient data to obtain display screen ambient temperature data; calculating the ambient temperature degree of the display screen ambient temperature data to generate ambient temperature degree data; and identifying display color characteristics of key display information according to the ambient temperature degree data to obtain display color data; Step S32: Based on the display color data, the display brightness characteristic data is monitored in real time to obtain display brightness monitoring data; brightness parameter mapping is performed on the display brightness monitoring data to generate display brightness mapping parameters; and real-time parameter recording is performed on the display brightness mapping parameters to generate display brightness data; Step S33: extracting display brightness distribution features from the display brightness data to obtain display brightness distribution features; performing brightness partitioning on the display brightness distribution features according to the display brightness distribution features to generate display brightness area information; performing color difference marking on the display color data according to the display brightness area information to generate display color difference data; Step S34: performing display viewing angle measurement on the multi-dimensional display feature data based on the display color difference data to obtain display viewing angle data; performing viewing angle anomaly detection on the display viewing angle data to obtain viewing angle anomaly data.

5. The method for optimizing the display of a liquid crystal display screen according to claim 4, characterized in that: Step S34 includes the following steps: Step S341: setting display observation points for the multi-dimensional display feature data based on the display color difference data to obtain display observation point data; performing display angle simulation on the multi-dimensional display feature data according to the display observation point data to generate display angle simulation data; Step S342: using a camera to collect display images of display angle simulation data to obtain simulated angle display image information; performing image feature enhancement on the simulated angle display image information to generate a simulated angle feature enhanced image; performing display parameter recording on the simulated angle feature enhanced image to obtain simulated angle display parameter information; Step S343: performing display brightness state identification on the analog angle display parameter information to obtain analog angle brightness state data; performing visual brightness feature marking on the analog angle brightness state data to generate visual brightness feature data; performing display color state determination on the analog angle display parameter information according to the visual brightness feature data to generate analog angle color state data; performing visual color feature marking on the analog angle color state data to obtain visual color feature data; Step S344: performing display viewing angle parameter identification on the display angle simulation data based on the visible brightness characteristic data and the visible color characteristic data to obtain display viewing angle parameters; performing angle measurement on the display viewing angle parameters to obtain display viewing angle data; Step S345: performing brightness display abnormality detection on the multi-dimensional display feature data according to the display viewing angle data to generate visible brightness display abnormality data; performing visible color display abnormality detection on the multi-dimensional display feature data in combination with the visible brightness display abnormality data and the display viewing angle data to obtain visible color display abnormality data; Step S346: Integrate the visual brightness display abnormality data and the visual color display abnormality data to generate visual angle abnormality data.

6. The method for optimizing the display of a liquid crystal display screen according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: performing intelligent response optimization on the display response abnormality data to generate response abnormality optimization data; Step S42: adaptively adjusting the viewing angle abnormality data to obtain viewing angle abnormality adjustment data; Step S43: constructing a liquid crystal display screen display optimization model according to the response abnormality optimization data and the viewing angle abnormality adjustment data to obtain a liquid crystal display screen display optimization pre-model; and training the liquid crystal display screen display optimization pre-model using the response abnormality optimization data and the viewing angle abnormality adjustment data to obtain a liquid crystal display screen display optimization training model; Step S44: performing model cross-validation evaluation on the LCD display optimization training model to obtain model evaluation data; adjusting model parameters of the LCD display optimization training model using the model evaluation data to obtain the LCD display optimization model; Step S45: Optimizing the display of the LCD screen according to the LCD screen display optimization model to obtain an LCD screen display optimization report.

7. The method for optimizing the display of a liquid crystal display screen according to claim 6, characterized in that: Step S41 includes the following steps: Step S411: Calculate the duration of the time abnormal response on the display response abnormal data to obtain time abnormal duration data; associate the time abnormal duration data with the environmental humidity degree data to perform humidity abnormal time correlation to generate humidity abnormal time data; Step S412: extracting pixel conversion features of the liquid crystal display screen pixel features according to the humidity abnormality time data to obtain pixel conversion feature data; converting the pixel conversion feature data into voltage records to obtain pixel conversion voltage values; calculating the duration value of the time abnormality duration data to generate the abnormality duration value; Step S413: numerically mapping the abnormal duration value and the pixel conversion voltage value to obtain the time abnormality-pixel conversion value; intelligently improving the pixel conversion voltage of the liquid crystal display screen display data based on the time abnormality-pixel conversion value to generate pixel conversion voltage optimization measures; Step S414: Calculate the power consumption abnormality degree of the display response abnormal data to obtain power consumption abnormality degree data; match the power consumption abnormality degree data with the environmental humidity degree data to generate humidity power consumption situation data; identify the display state of the multi-dimensional display feature data according to the humidity power consumption situation data to obtain display state data; extract the standby state of the display state data to generate standby display state data; extract the working state of the display state data to generate working display state data; Step S415: based on the standby display state data and the humidity power consumption data, the backlight brightness of the liquid crystal display screen is reduced to obtain a backlight brightness optimization measure for the liquid crystal display screen; based on the working display state data and the humidity power consumption data, the display refresh rate of the liquid crystal display screen is reduced to obtain a display refresh rate optimization measure; the backlight brightness optimization measure and the display refresh rate optimization measure are integrated to perform a power consumption abnormality response optimization measure; Step S416: Integrate the pixel conversion voltage optimization measure and the power consumption abnormal response optimization measure to obtain abnormal response optimization data.

8. The method for optimizing the display of a liquid crystal display screen according to claim 6, characterized in that: Step S42 includes the following steps: Step S421: extracting abnormal display brightness parameters from the abnormal viewing angle data to obtain abnormal display brightness parameters; matching the abnormal display brightness parameters with the ambient temperature data to generate temperature abnormal brightness data; Step S422: Calculate the brightness difference between the temperature abnormality brightness data and the preset visual display brightness to obtain visual display brightness difference data; dynamically compensate the display brightness difference of the liquid crystal display screen based on the visual display brightness difference data to generate display brightness adjustment measures; Step S423: extracting abnormal display color features from the abnormal viewing angle data to obtain abnormal display color features; pairing the abnormal display color features with the ambient temperature data to generate temperature abnormal color data; Step S424: performing display color accuracy detection on the temperature abnormal color data to obtain abnormal display color accuracy data; performing display screen color richness extraction on the abnormal display color accuracy data to generate abnormal display color richness; performing display color adaptive correction on the liquid crystal display screen based on the abnormal display color richness to generate display color accuracy correction measures; Step S425: Integrate the display brightness adjustment measure and the display color accuracy correction measure to obtain viewing angle abnormality adjustment data.

9. The method for optimizing the display of a liquid crystal display screen according to claim 6, characterized in that: Step S45 includes the following steps: Step S451: performing real-time display monitoring on the liquid crystal display screen to obtain display screen display monitoring data; extracting display response abnormality monitoring conditions from the display screen display monitoring data to obtain display response abnormality monitoring conditions; extracting viewing angle abnormality monitoring conditions from the display screen display monitoring data to obtain viewing angle abnormality monitoring conditions; Step S452: executing pixel conversion voltage optimization measures for display response abnormality monitoring conditions based on the display optimization model of the liquid crystal display screen, and generating pixel conversion voltage execution data; executing power consumption abnormal response optimization measures for display response abnormality monitoring conditions based on the display optimization model of the liquid crystal display screen, and generating power consumption optimization measures execution data; Step S453: performing display brightness adjustment measures for the abnormal viewing angle monitoring situation based on the display optimization model of the liquid crystal display screen, and generating display brightness adjustment execution data; performing display color accuracy correction measures for the abnormal viewing angle monitoring situation based on the display optimization model of the liquid crystal display screen, and generating display color accuracy correction execution data; Step S454: Integrate the pixel conversion voltage execution data, the power consumption optimization measure execution data, the display brightness adjustment execution data and the display color accuracy correction execution data to obtain a liquid crystal display screen display optimization report.

10. A liquid crystal display screen display optimization system, characterized in that: Used to execute the liquid crystal display screen display optimization method as claimed in claim 1, the liquid crystal display screen display optimization system comprises: The LCD display data acquisition module is used to acquire display data of the LCD display using a sensor to obtain LCD display data; pre-process the LCD display data to obtain standard LCD display data; perform multi-dimensional feature recognition on the standard LCD display data to obtain multi-dimensional display feature data; extract key display information from the multi-dimensional display feature data to obtain key display information; The display response anomaly analysis module is used to obtain LCD screen environment data; extract display response features of key display information according to the LCD screen environment data to generate display response feature data; perform response anomaly analysis on multi-dimensional display feature data through the display response feature data to obtain display response anomaly data; The viewing angle anomaly detection module is used to determine the display color of key display information according to the liquid crystal display screen environment data to obtain display color data; record the real-time display brightness of key display information in combination with the display color data to generate real-time display brightness data; calculate the display viewing angle of multi-dimensional display feature data according to the display brightness data and the display color data to obtain display viewing angle data; perform viewing angle anomaly detection on the display viewing angle data to obtain viewing angle anomaly data; The LCD display optimization model module is used to perform intelligent response optimization on display response abnormality data and generate response abnormality optimization data; to perform adaptive adjustment on viewing angle abnormality data and obtain viewing angle abnormality adjustment data; to construct an LCD display optimization model based on the response abnormality optimization data and the viewing angle abnormality adjustment data and generate an LCD display optimization model; to optimize the display of the LCD screen based on the LCD display optimization model and obtain an LCD display optimization report.

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