Parameterized simulation model design method suitable for LED display screen box

Abstract

The invention relates to the field of electric data processing, in particular to a parameterized simulation model design method suitable for an LED display screen box. The method comprises the following steps: acquiring the spectrum of the display surface of the LED display screen box; performing sensing light color weight analysis on the spectral data of the display surface to obtain sensing light three-primary color weight data; circuit simulation model construction is carried out on the LED display screen box, model data mapping is carried out on the sensing light three-primary color weight data, and a display screen photoelectric parameter model is obtained; drawing a relation curve of output changes of the ambient light data and the driving current data for the LED display screen box to obtain an ambient light influence current curve; and calculating the pixel pitch of the LED display screen box, and optimizing the display screen photoelectric parameter model based on the display screen photoelectric parameter model, the ambient light influence current curve and the pixel pitch of the display surface to obtain a parameterized simulation model of the LED display screen box. According to the method, the parameter model is optimized by obtaining the pixel pitch, so that the model precision is improved.

Description

Technical Field

[0001] The invention relates to the field of electrical data processing, and in particular to a parameterized simulation model design method suitable for an LED display screen box. Background Art

[0002] At present, with the widespread application of LED display boxes, their box design faces more and more challenges. Traditional manual design methods are difficult to meet the increasingly complex box shape and performance requirements. At the same time, the market demand for box customization and rapid iteration is also increasing, which requires a more efficient and flexible design method. Therefore, the parametric simulation model design method came into being. This method can establish a fine LED display box model, and accurately predict the box performance by establishing a parametric model in combination with the actual working environment parameters. At the same time, it can flexibly control the design parameters of the box, quickly evaluate the design scheme through the simulation model, shorten the design cycle, and improve the design efficiency. However, the parametric simulation model design method for LED display boxes requires parameters to establish the model. The lack of sufficient model parameters reduces the simulation accuracy of the parametric simulation model, resulting in deviations in the prediction of box performance and a waste of time to obtain deviation parameters for model optimization. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a parameterized simulation model design method suitable for an LED display screen box to solve at least one of the above technical problems.

[0004] To achieve the above purpose, a parametric simulation model design method suitable for LED display box includes the following steps:

[0005] Step S1: performing display surface light sensing processing on the LED display box to obtain display surface light sensing data; performing display surface spectrum extraction on the display surface light sensing data to obtain display surface spectrum data; performing sensing light color weight analysis on the display surface light sensing data based on the display surface spectrum data to obtain sensing light three primary color weight data;

[0006] Step S2: constructing a circuit simulation model for the LED display box to obtain a display circuit simulation model; constructing an optoelectronic model for the display circuit simulation model based on the weight data of the three primary colors of the sensing light and the display surface spectrum data to obtain an optoelectronic parameter model of the display;

[0007] Step S3: Acquire the ambient spectrum data of the LED display box to obtain the ambient spectrum data of the display surface; extract the ambient light data of the display surface ambient spectrum data to obtain the ambient light intensity data and the ambient color temperature data of the display surface; analyze the output change of the driving current data of the optoelectronic parameter model of the display screen based on the ambient light intensity data and the ambient color temperature data of the display surface to obtain the driving current output adjustment data and the calibration output driving current ratio data; draw the ambient light influence current curve of the display surface ambient spectrum data based on the driving current output adjustment data and the calibration output driving current ratio data to obtain the ambient light influence current curve;

[0008] Step S4: Calculate the pixel spacing of the LED display box to obtain the pixel spacing of the display surface; draw a spacing signal influence curve on the pixel spacing of the display surface based on the optoelectronic parameter model of the display screen, the ambient light influence current curve and the LED display box to obtain the spacing signal influence curve; optimize the simulation parameters of the optoelectronic parameter model of the display screen based on the spacing signal influence curve to obtain a parameterized simulation model of the LED display box.

[0009] By deploying light sensors and acquiring display surface spectrum data, the present invention can accurately grasp the luminous characteristics of the LED display screen itself. On this basis, the weight data of the three primary colors of the sensing light is obtained through spectral analysis, which lays the foundation for the subsequent establishment of an accurate photoelectric model and improves the accuracy of color restoration. The establishment of a circuit simulation model can simulate the circuit characteristics of the LED display screen, and the photoelectric model constructed in combination with the weight data of the three primary colors of the sensing light can link the optical signal with the electrical signal to achieve accurate control of the brightness and chromaticity parameters of the display screen, providing a theoretical basis for subsequent ambient light compensation; by acquiring ambient spectrum data and extracting ambient light intensity and color temperature information, the influence of ambient light changes on the display screen can be monitored in real time. By analyzing the influence of ambient light on the driving current and drawing the ambient light influence current curve, data support can be provided for the subsequent formulation of an accurate ambient light compensation strategy, thereby effectively reducing the interference of ambient light on the display effect; considering the pixel spacing Drawing the spacing signal influence curve can incorporate the mutual influence between adjacent pixels into the simulation model, further improving the accuracy of the model. Based on the curve, the optoelectronic parameter model can be optimized to obtain a comprehensive LED display box parametric simulation model, which can accurately simulate the behavior of the display according to ambient light conditions, circuit characteristics and pixel spacing. This simulation method can improve the performance, image quality and energy efficiency of the display, while ensuring that LED display boxes of different shapes, sizes and clarity maintain visibility and color accuracy in different lighting environments. A parametric simulation model of LED display that is closer to the actual situation can be obtained, thereby accurately simulating the parametric simulation model, obtaining accurate box performance predictions, and reducing model optimization time, providing a powerful tool for developing more accurate and intelligent ambient light compensation algorithms, and ultimately achieving the goal of maintaining excellent display effects regardless of how the ambient light changes.

[0010] Preferably, step S1 comprises the following steps:

[0011] Step S11: performing display surface light sensing processing on the LED display screen box to obtain display surface light sensing data;

[0012] Step S12: extracting the display surface spectrum from the display surface light sensing data to obtain display surface spectrum data;

[0013] Step S13: extracting light wavelength data from the display surface spectrum data to obtain the display surface light wavelength data;

[0014] Step S14: extracting light color response characteristics of the display surface spectrum based on the display surface light wavelength data to obtain light color response characteristic data;

[0015] Step S15: performing sensing light color recognition on the display surface light sensing data based on the light color response characteristic data to obtain sensing light color data;

[0016] Step S16: performing color weight analysis on the sensing light color data based on the display surface spectrum data to obtain weight data of the three primary colors of the sensing light.

[0017] The present invention can capture the light information on the surface of the display screen in real time and accurately by deploying a light sensor on the LED display screen box, providing a reliable data basis for subsequent color correction; the light sensor collects the light emitted by the display screen and decomposes it into spectral data of different wavelengths, which can accurately describe the luminous intensity of the display screen in different colors, providing more detailed information for subsequent analysis; extracting data of each wavelength from the spectral data can more intuitively analyze the performance of the display screen in specific colors, such as red, green, and blue, which is convenient for subsequent targeted color correction; based on the display surface light wavelength data, the light color response feature of the spectrum is extracted. This step is intended to identify and capture the response intensity of different color components in the display surface light, thereby providing feature data support for the light color recognition of the sensor; using the light color response feature data, the display surface light sensing data is subjected to sensor light color recognition, which can determine the specific color of the light captured by the sensor and express it digitally, providing a basis for subsequent color weight analysis and display screen color calibration; based on the display surface light wavelength data, the light color response feature of the spectrum is extracted, which is intended to identify and capture the response intensity of different color components in the display surface light, thereby providing feature data support for the light color recognition of the sensor.

[0018] Preferably, step S16 comprises the following steps:

[0019] Step S161: extracting three-primary color spectrum from the display surface spectrum data to obtain three-primary color spectrum data;

[0020] Step S162: constructing a color space coordinate system for the three-primary color spectrum data to obtain a three-primary color space coordinate system;

[0021] Step S163: mapping the color feature points of the three-primary color space system based on the sensing light color data to obtain the sensing light color point data;

[0022] Step S164: Calculate the color weight of the sensed light color data based on the sensed light color point data to obtain weight data of the three primary colors of the sensed light.

[0023] The present invention can effectively separate and obtain the spectral components of the three primary colors of red, green and blue in the display surface light by extracting the three primary color spectrum of the display surface spectrum data, which helps to accurately analyze the distribution of the display surface light in the three primary color space and provide basic data support for the subsequent construction of the color space coordinate system; the color space coordinate system is constructed for the three primary color spectrum data to establish a unique three-dimensional color space. In this coordinate system, the various colors of the display surface light under the combination of the three primary colors can be accurately represented. This step provides a quantitative analysis framework for the mapping and weight calculation of the sensor light color data; by mapping the color feature points of the three primary color space coordinate system, the sensor light color data can be projected into this three-dimensional space, which is conducive to intuitively showing the specific position and color characteristics of the sensor light under the three primary color spectrum of the display surface, thereby providing a visual reference for the subsequent color weight calculation; by mapping the color feature points of the three primary color space coordinate system, the sensor light color data can be projected into this three-dimensional space. This is conducive to intuitively showing the specific position and color characteristics of the sensing light under the three primary color spectrum of the display surface, thereby providing a visual reference for the subsequent color weight calculation. Through the above steps, the spectral data can be converted into more intuitive color space coordinate information, and the weight of each color in the final color presentation can be accurately calculated.

[0024] Preferably, step S2 comprises the following steps:

[0025] Step S21: constructing a circuit simulation model for the LED display screen box to obtain a display screen circuit simulation model;

[0026] Step S22: acquiring the driving current of the display screen circuit simulation model to obtain circuit driving current data;

[0027] Step S23: performing drive current output ratio allocation on the circuit drive current data based on the weight data of the three primary colors of the sensing light to obtain drive current output allocation ratio data;

[0028] Step S24: performing data mapping on the display screen circuit simulation model based on the drive current output distribution ratio data and the display surface spectrum data to obtain the display screen optoelectronic parameter model.

[0029] The present invention can simulate and analyze the circuit characteristics and behaviors of the display screen by constructing a circuit simulation model of the LED display screen box. This model can comprehensively consider the electrical parameters, component characteristics and interconnection relationship of the display screen, and provide a virtual test platform for driving current acquisition and subsequent driving current output distribution; by obtaining circuit driving current data through the simulation model, the current level required for driving the LED display screen to emit light can be understood and analyzed, which is helpful to determine the relationship between the power consumption characteristics of the display screen, the performance of the driving circuit and the luminous efficiency of the display screen, thereby providing basic data for optimizing the driving current output distribution of the display screen; the output ratio of the circuit driving current is distributed based on the weight data of the three primary colors of the sensing light, which can optimize the balance between the current consumption and color performance of the display screen. This step can reasonably distribute the output ratio of the driving current according to the different current requirements of different colors of light; by mapping the circuit driving current output distribution ratio data and the display surface spectrum data into the simulation model, a comprehensive display screen photoelectric parameter model can be established, which can comprehensively consider the circuit characteristics and optical characteristics, and simulate the photoelectric response of the display screen under different driving current and ambient light conditions, which is conducive to the comprehensive and accurate prediction and optimization of the visual effect and performance of the display screen before the actual manufacturing and deployment of the display screen.

[0030] Preferably, step S21 includes the following steps:

[0031] Step S211: setting display surface nodes for the LED display screen box to obtain display surface node data;

[0032] Step S212: performing current sensing processing on the LED display screen box based on the display surface node data to obtain node current sensing data;

[0033] Step S213: extracting node electrical characteristic data from the node current sensing data to obtain node electrical characteristic data;

[0034] Step S214: Scan the circuit layout of the LED display box to obtain the circuit layout of the display screen;

[0035] Step S215: constructing a circuit simulation model for the display screen circuit layout based on the node electrical characteristic data to obtain a display screen circuit simulation model.

[0036] The present invention can determine the key positions and measurement points on the display surface by setting display surface nodes on the LED display box. This step helps to plan and deploy current sensors to ensure comprehensive collection and analysis of the current distribution on the display surface; deploying current sensors according to the display surface node data can monitor and collect current information of each node on the display surface in real time. The current sensor can accurately measure the current flowing through each node, providing basic data for obtaining the current distribution characteristics of the display surface and circuit simulation; the node current sensor collects the current and voltage electrical parameters of each node under different working conditions, and records the relevant data. These data reflect the current distribution of the LED display during actual operation, and provide a data basis for building a circuit simulation model that is closer to reality; use a scanner or other equipment to scan the circuit routing inside the LED display box to obtain a clear circuit connection topology diagram. This provides the necessary structural information for building a circuit simulation model; combined with the scanned circuit layout diagram and the electrical characteristic data of each node, the circuit simulation model of the LED display is established using circuit simulation software. This model can more realistically reflect the working state of the actual circuit and provide a reliable simulation platform for subsequent performance analysis, fault diagnosis and optimization design; through the above steps, the actual measurement data is combined with circuit simulation technology to build a more accurate and reliable LED display circuit simulation model, which provides a powerful tool for further improving the performance of the display.

[0037] Preferably, step S3 comprises the following steps:

[0038] Step S31: deploying ambient light sensors on the LED display box to obtain ambient light sensors;

[0039] Step S32: acquiring ambient spectrum data of the LED display box based on the ambient light sensor to obtain display surface ambient spectrum data;

[0040] Step S33: performing ambient light intensity analysis on the display surface ambient spectrum data to obtain display surface ambient light intensity data;

[0041] Step S34: Acquire the ambient color temperature of the display surface ambient spectrum data to obtain ambient color temperature data;

[0042] Step S35: adjusting the output of the driving current data of the display screen optoelectronic parameter model based on the display surface ambient light intensity data to obtain driving current output adjustment data;

[0043] Step S36: performing display color temperature correction on the LED display box based on the ambient color temperature data to obtain display color temperature correction data;

[0044] Step S37: calibrating the output ratio of the driving current of the display screen optoelectronic parameter model based on the display color temperature correction data to obtain calibrated output driving current ratio data;

[0045] Step S38: Based on the drive current output adjustment data and the calibration output drive current ratio data, the display surface ambient spectrum data is subjected to an ambient light influence current curve drawing to obtain the ambient light influence current curve.

[0046] The present invention can monitor and collect the light conditions of the surrounding environment in real time by deploying an ambient light sensor on the LED display box. This includes the spectrum, intensity and color temperature information of natural light, artificial lighting or mixed light sources, providing basic data for analyzing the ambient light impact of the display screen and optimizing the performance of the display screen; obtaining the display surface environmental spectrum data can understand and analyze the spectral composition of the surrounding ambient light. This step helps to determine the intensity of different wavelength components in the ambient light, capture the color characteristics of the ambient light, and thus provide basic spectrum information for subsequent ambient light intensity analysis and color temperature acquisition; obtaining the display surface environmental spectrum data can understand and analyze the spectral composition of the surrounding ambient light. This step helps to determine the intensity of different wavelength components in the ambient light, capture the color characteristics of the ambient light, and thus provide basic spectrum information for subsequent ambient light intensity analysis and color temperature acquisition; by analyzing the ambient spectrum data, the color temperature value of the current ambient light is calculated, which is used to judge the cold and warm tones of the ambient light, and provide a basis for subsequent color temperature correction; based on the ambient light intensity data, the drive current data output of the display screen optoelectronic parameter model can be adjusted. This step can dynamically adjust the brightness and contrast of the display screen, while ensuring the display effect and saving energy. When the ambient light gets darker, the drive current output is reduced to reduce power consumption; when the ambient light gets brighter, the drive current output is increased to ensure the visibility of the display screen; according to the ambient color temperature data, the color temperature of the display screen is adjusted accordingly to match it with the color temperature of the ambient light to avoid color cast or inconsistency with the environment; through the feedback of the ambient color temperature data, the output drive current ratio of the display screen optoelectronic parameter model is calibrated. This step can fine-tune the color performance of the display screen to ensure the color accuracy and consistency of the display screen; based on the ambient light intensity data and the calibrated output drive current ratio data, an ambient light impact current curve can be drawn. This curve can intuitively represent the output adjustment of the drive current under different ambient light intensity conditions, providing guidance for the design and optimization of the drive circuit of the display screen.

[0047] Preferably, step S4 comprises the following steps:

[0048] Step S41: acquiring display parameters of the LED display box to obtain display parameter data of the display;

[0049] Step S42: Calculate the pixel spacing of the display screen display parameter data to obtain the display surface pixel spacing;

[0050] Step S43: plotting a spacing-temperature curve for the pixel spacing on the display surface based on the display screen optoelectronic parameter model and the current curve of the ambient light influence, to obtain a spacing-temperature curve;

[0051] Step S44: performing signal error analysis on the pixel spacing of the display surface based on the display screen optoelectronic parameter model and the LED display screen box to obtain spacing signal error influencing parameters;

[0052] Step S45: performing curve fitting on the pixel pitch on the display surface based on the pitch temperature curve and the pitch signal error influencing parameter to obtain a pitch signal influencing curve;

[0053] Step S46: Optimizing the simulation parameters of the display screen optoelectronic parameter model based on the spacing signal influence curve to obtain a parameterized simulation model of the LED display screen box.

[0054] The present invention obtains display parameter data of an LED display box, including resolution, number of pixels and size information, which provides basic data for subsequent calculation of display surface pixel spacing and analysis of signal bit error impact; obtains display parameter data of an LED display box, including resolution, number of pixels and size information, which provides basic data for subsequent calculation of display surface pixel spacing and analysis of signal bit error impact; and draws a spacing temperature curve based on a display screen optoelectronic parameter model and an ambient light impact current curve, which can represent the relationship between the display surface pixel spacing and temperature. Temperature changes will affect the physical properties of pixel spacing, and thus affect the display effect. Drawing this curve helps analyze the impact of temperature changes on display performance so that the temperature factor can be incorporated into the simulation model. Based on the display optoelectronic parameter model and the ambient light impact current curve, a spacing temperature curve is drawn. This curve can represent the relationship between the pixel spacing and temperature of the display surface. Temperature changes will affect the physical properties of the pixel spacing, and thus affect the display effect. Drawing this curve helps analyze the impact of temperature changes on display performance so that the temperature factor can be incorporated into the simulation model. Based on the spacing temperature curve and the signal error impact parameter, curve fitting is performed to obtain the spacing signal impact curve. This curve combines the impact of temperature changes and pixel spacing on signal transmission. It can help designers predict and evaluate the impact of pixel spacing on signal integrity and accuracy at different temperatures, thereby optimizing the display drive circuit and signal processing technology accordingly. Using the spacing signal impact curve, the simulation parameters of the display optoelectronic parameter model are optimized. This step can obtain a more accurate and comprehensive LED display box parametric simulation model. The model takes into account the impact of temperature factors and pixel pitch on signal transmission, thereby more accurately simulating and analyzing the performance of the display under different environmental conditions, which helps to optimize the design of the display, improve display effects and image quality, and reduce errors in signal transmission.

[0055] Preferably, step S43 includes the following steps:

[0056] Step S431: performing pixel point positioning on the pixel spacing of the display surface to obtain pixel point positions;

[0057] Step S432: performing single-point power analysis on the pixel points based on the display screen optoelectronic parameter model and the current curve of ambient light impact, and obtaining pixel point power data;

[0058] Step S433: Calculating the power density per unit area of ​​the pixel power data based on the pixel spacing of the display surface to obtain the power density per unit area;

[0059] Step S434: Calculate the power density heat value for the power density per unit area to obtain the power density heat value;

[0060] Step S435: performing thermal coupling increase analysis on the power density heat value to obtain pixel thermal coupling increase data;

[0061] Step S436: performing data fitting on the power density heat value and the pixel point thermal coupling increase data to obtain the heat value per unit area;

[0062] Step S437: Draw a temperature influence curve for the pixel spacing on the display surface based on the heat generated per unit area to obtain a spacing temperature curve.

[0063] The present invention can determine the specific pixel position on the display surface by performing pixel point positioning on the pixel spacing of the display surface. This step provides an accurate reference position for subsequent single-point power analysis and calculation of power density per unit area; based on the optoelectronic parameter model of the display screen and the current curve of ambient light affecting the current, single-point power analysis is performed on the pixel points. This step can analyze and calculate the power level of the specific pixel points, taking into account the electro-optical characteristics of the display screen and the influence of ambient light on the power; based on the optoelectronic parameter model of the display screen and the current curve of ambient light affecting the current, single-point power analysis is performed on the pixel points. This step can analyze and calculate the power level of the specific pixel points, taking into account the electro-optical characteristics of the display screen and the influence of ambient light on the power; based on the optoelectronic parameter model of the display screen and the current curve of ambient light affecting the current, single-point power analysis is performed on the pixel points. This step can analyze and calculate the power level of the specific pixel points, taking into account the electro-optical characteristics of the display screen and the influence of ambient light on the power Influence; Consider the heat conduction and heat radiation effects between adjacent pixels, analyze the thermal coupling phenomenon between pixels, and calculate the additional temperature rise caused by thermal coupling, that is, the pixel thermal coupling increase data. This step can evaluate how the power density heat generation affects the overall temperature of the display component and provide data support for subsequent processing; By fitting the power density heat generation and pixel thermal coupling increase data, the heat generation per unit area of ​​the display surface can be determined. This step integrates the thermal transfer characteristics of the display component and provides basic data for drawing the temperature influence curve and simulating the temperature distribution of the display; Based on the heat generation per unit area and the display optoelectronic parameter model, the influence curve between the pixel spacing and the temperature of the display surface can be drawn. This curve can intuitively represent the relationship between the pixel spacing and the display surface temperature. It helps designers analyze and predict the temperature distribution under different pixel spacings, identify potential hot spots, and optimize the heat dissipation design of the display.

[0064] Preferably, step S44 includes the following steps:

[0065] Step S441: performing signal transmission line analysis on the display screen optoelectronic parameter model based on the display surface pixel pitch to obtain signal transmission line data;

[0066] Step S442: Calculating the signal transmission line arrangement density for the signal transmission line data to obtain the signal transmission line arrangement density;

[0067] Step S443: extracting density pixel noise from the LED display box based on the arrangement density of the signal transmission lines to obtain density pixel noise data;

[0068] Step S444: Calculating the pixel noise ratio of the LED display box based on the density pixel noise data to obtain pixel noise ratio data;

[0069] Step S445: performing transmission signal bit error rate conversion on the pixel noise ratio data to obtain the transmission signal bit error rate;

[0070] Step S446: performing pitch-influence-signal-bit-error-parameter analysis on the transmission signal bit error rate based on the display surface pixel pitch to obtain pitch-signal-bit-error-influence-parameter.

[0071] The present invention can obtain the layout and characteristic information of the signal transmission lines in the display screen by performing signal transmission line analysis on the optoelectronic parameter model of the display screen. This step helps to understand the transmission path and potential influencing factors of the electrical signal in the display screen, and provides basic data for subsequent analysis of signal transmission quality and identification of noise impact; the arrangement density of the signal transmission lines is calculated to evaluate the distribution density of the signal transmission lines in the display screen. This step helps to analyze the difference in signal transmission quality in different areas of the display screen and identify existing signal congestion or transmission delay problems; based on the arrangement density of the signal transmission lines, density pixel noise data is extracted from the LED display screen box. This step can identify and locate the noise or interference generated by the signal transmission line density in the display screen; by calculating L The density pixel noise data of the ED display box can determine the proportion of pixel noise in the display. This step quantifies the number of pixels in the display that are affected by the density of signal transmission lines, providing a reference for analyzing signal transmission quality and optimizing display performance; converting the pixel noise ratio data into the transmission signal bit error rate can evaluate the signal transmission quality. This step converts the noise ratio into a specific signal bit error rate value, providing a quantitative indicator for subsequent analysis of the impact of noise on the signal and optimization of the transmission quality of the display; converting the pixel noise ratio data into the transmission signal bit error rate can evaluate the signal transmission quality. This step converts the noise ratio into a specific signal bit error rate value, providing a quantitative indicator for subsequent analysis of the impact of noise on the signal and optimization of the transmission quality of the display.

[0072] Preferably, step S45 includes the following steps:

[0073] Step S451: acquiring the spacing temperature data of the pixel spacing on the display surface based on the spacing temperature curve to obtain the spacing temperature data;

[0074] Step S452: performing channel resistance analysis on the spacing temperature data to obtain channel resistance data;

[0075] Step S453: performing transmission signal delay calculation on the channel resistance data to obtain transmission signal delay data;

[0076] Step S454: performing signal timing offset analysis on the transmission signal delay data to obtain signal timing offset data;

[0077] Step S455: Drawing a temperature signal timing offset curve for the spacing temperature data based on the signal timing offset data to obtain a temperature signal timing offset curve;

[0078] Step S456: performing data fitting on the temperature signal timing offset curve based on the spacing signal error influence parameter to obtain the spacing signal influence curve.

[0079] The present invention acquires data of the spacing temperature curve of the pixel spacing on the display surface, so as to intuitively understand the corresponding relationship between the pixel spacing and the temperature, and provide basic data for subsequent analysis and calculation; and performs channel resistance analysis on the spacing temperature data to obtain the change information of the channel resistance. Channel resistance is correlated with temperature. By analyzing the change in resistance, the temperature change can be inferred, which provides an effective method for monitoring and controlling temperature. Channel resistance analysis of the spacing temperature data can obtain information on the change in channel resistance. Channel resistance is correlated with temperature. By analyzing the change in resistance, the temperature change can be inferred, which provides an effective method for monitoring and controlling temperature. The timing offset of the transmission signal is analyzed. The transmission signal delay data can reflect the impact of the channel resistance change on the signal transmission time. Through the timing offset analysis, the offset of the signal reception time caused by the signal delay can be determined. This step helps to reveal the impact of temperature change on the signal timing and provides a basis for the subsequent drawing of the temperature signal timing offset curve. The temperature signal timing offset curve is drawn. Temperature change will cause the offset of the signal timing. By drawing the temperature signal timing offset curve, the relationship between temperature change and signal timing offset can be intuitively displayed, which helps to understand the mechanism of the impact of temperature on signal transmission and provides an intuitive basis for the subsequent spacing signal impact analysis. Data fitting of the temperature signal timing offset curve can obtain a mathematical model that matches the spacing signal error influencing parameters, thereby revealing the influence of temperature on signal timing offset. Through this step, the impact of temperature on signal transmission quality can be quantified and the performance and reliability of the display can be optimized based on this. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0081] Figure 1 It is a schematic diagram of the steps of the parameterized simulation model design method applicable to the LED display screen box of the present invention;

[0082] Figure 2 for Figure 1 Detailed step flow diagram of step S4;

[0083] Figure 3 for Figure 2Detailed step flow chart of step S45. DETAILED DESCRIPTION

[0084] 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.

[0085] 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.

[0086] 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.

[0087] To achieve this, please refer to Figures 1 to 3 The present invention provides a parameterized simulation model design method suitable for an LED display box, the method comprising the following steps:

[0088] Step S1: performing display surface light sensing processing on the LED display box to obtain display surface light sensing data; performing display surface spectrum extraction on the display surface light sensing data to obtain display surface spectrum data; performing sensing light color weight analysis on the display surface light sensing data based on the display surface spectrum data to obtain sensing light three primary color weight data;

[0089] Step S2: constructing a circuit simulation model for the LED display box to obtain a display circuit simulation model; constructing an optoelectronic model for the display circuit simulation model based on the weight data of the three primary colors of the sensing light and the display surface spectrum data to obtain an optoelectronic parameter model of the display;

[0090] Step S3: Acquire the ambient spectrum data of the LED display box to obtain the ambient spectrum data of the display surface; extract the ambient light data of the display surface ambient spectrum data to obtain the ambient light intensity data and the ambient color temperature data of the display surface; analyze the output change of the driving current data of the optoelectronic parameter model of the display screen based on the ambient light intensity data and the ambient color temperature data of the display surface to obtain the driving current output adjustment data and the calibration output driving current ratio data; draw the ambient light influence current curve of the display surface ambient spectrum data based on the driving current output adjustment data and the calibration output driving current ratio data to obtain the ambient light influence current curve;

[0091] Step S4: Calculate the pixel spacing of the LED display box to obtain the pixel spacing of the display surface; draw a spacing signal influence curve on the pixel spacing of the display surface based on the optoelectronic parameter model of the display screen, the ambient light influence current curve and the LED display box to obtain the spacing signal influence curve; optimize the simulation parameters of the optoelectronic parameter model of the display screen based on the spacing signal influence curve to obtain a parameterized simulation model of the LED display box.

[0092] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the parameterized simulation model design method for an LED display box according to the present invention. In this example, the parameterized simulation model design method for an LED display box includes the following steps:

[0093] Step S1: performing display surface light sensing processing on the LED display box to obtain display surface light sensing data; performing display surface spectrum extraction on the display surface light sensing data to obtain display surface spectrum data; performing sensing light color weight analysis on the display surface light sensing data based on the display surface spectrum data to obtain sensing light three primary color weight data;

[0094] In an embodiment of the present invention, first, a plurality of light sensors are reasonably deployed on the display surface of the LED display box to ensure that the spectral information of the display surface can be fully obtained. Then, the spectral data of the display screen when working is collected by using these light sensors to obtain the spectral data of the display surface. Then, according to the color matching function of the CIE1931 color space, the collected spectral data of the display surface is analyzed, and the weight ratio of the three primary colors of red, green and blue corresponding to each light sensor is calculated to obtain the weight data of the three primary colors of the sensing light.

[0095] Step S2: constructing a circuit simulation model for the LED display box to obtain a display circuit simulation model; constructing an optoelectronic model for the display circuit simulation model based on the weight data of the three primary colors of the sensing light and the display surface spectrum data to obtain an optoelectronic parameter model of the display;

[0096] In an embodiment of the present invention, a circuit simulation model is constructed according to the circuit schematic diagram of the LED display box by using circuit simulation software, such as Spice or Multisim, to simulate the circuit characteristics of the display screen. The model should include key components such as LED driver chips, LED lamp beads, and current-limiting resistors. Then, based on the acquired weight data of the three primary colors of sensor light and combined with the photoelectric characteristic curve of the LED lamp beads, a photoelectric conversion module is added to the circuit simulation model to establish a photoelectric parameter model of the display screen to simulate the light output of the LED lamp beads under different driving currents.

[0097] Step S3: Acquire the ambient spectrum data of the LED display box to obtain the ambient spectrum data of the display surface; extract the ambient light data of the display surface ambient spectrum data to obtain the ambient light intensity data and the ambient color temperature data of the display surface; analyze the output change of the driving current data of the optoelectronic parameter model of the display screen based on the ambient light intensity data and the ambient color temperature data of the display surface to obtain the driving current output adjustment data and the calibration output driving current ratio data; draw the ambient light influence current curve of the display surface ambient spectrum data based on the driving current output adjustment data and the calibration output driving current ratio data to obtain the ambient light influence current curve;

[0098] In the embodiment of the present invention, the spectral data of the environment in which the LED display box is located is collected by using a light sensor to obtain the display surface environmental spectral data, and then the environmental spectral data is analyzed to extract the ambient light intensity and color temperature information, and the display surface ambient light intensity data and ambient color temperature data are obtained respectively. The constructed display screen optoelectronic parameter model is used to simulate the brightness and chromaticity changes of the LED display screen under different ambient light intensities and color temperatures, and the influence of ambient light on the display effect of the display screen is analyzed. According to the analysis results, the display screen driving current output is adjusted to compensate for the influence of ambient light, and the driving current adjustment data and the calibration output driving current ratio data required under different ambient light conditions are recorded. Finally, according to the driving current adjustment data and the calibration output driving current ratio data, the ambient light influence current curve is drawn to intuitively show the influence of ambient light on the driving current.

[0099] Step S4: Calculate the pixel spacing of the LED display box to obtain the pixel spacing of the display surface; draw a spacing signal influence curve on the pixel spacing of the display surface based on the optoelectronic parameter model of the display screen, the ambient light influence current curve and the LED display box to obtain the spacing signal influence curve; optimize the simulation parameters of the optoelectronic parameter model of the display screen based on the spacing signal influence curve to obtain a parameterized simulation model of the LED display box.

[0100] In an embodiment of the present invention, the distance between adjacent pixels on the LED display box is measured to obtain the pixel spacing of the display surface. Combined with the constructed display optoelectronic parameter model and the drawn ambient light impact current curve, the influence of optical crosstalk between LED lamp beads on the brightness and chromaticity uniformity of the display screen under different pixel spacings is analyzed, and the spacing signal impact curve is drawn. Finally, according to the spacing signal impact curve, the simulation parameters of the display optoelectronic parameter model are optimized, such as adjusting the optical model parameters and driving current waveform parameters of the LED lamp beads to reduce the influence of the pixel spacing on the display effect, and finally a parameterized simulation model of the LED display box is obtained.

[0101] By deploying light sensors and acquiring display surface spectrum data, the present invention can accurately grasp the luminous characteristics of the LED display screen itself. On this basis, the weight data of the three primary colors of the sensing light is obtained through spectral analysis, which lays the foundation for the subsequent establishment of an accurate photoelectric model and improves the accuracy of color restoration. The establishment of a circuit simulation model can simulate the circuit characteristics of the LED display screen, and the photoelectric model constructed in combination with the weight data of the three primary colors of the sensing light can link the optical signal with the electrical signal to achieve accurate control of the brightness and chromaticity parameters of the display screen, providing a theoretical basis for subsequent ambient light compensation; by acquiring ambient spectrum data and extracting ambient light intensity and color temperature information, the influence of ambient light changes on the display screen can be monitored in real time. By analyzing the influence of ambient light on the driving current and drawing the ambient light influence current curve, data support can be provided for the subsequent formulation of an accurate ambient light compensation strategy, thereby effectively reducing the interference of ambient light on the display effect; considering the pixel spacing Drawing the spacing signal influence curve can incorporate the mutual influence between adjacent pixels into the simulation model, further improving the accuracy of the model. Based on the curve, the optoelectronic parameter model can be optimized to obtain a comprehensive LED display box parametric simulation model, which can accurately simulate the behavior of the display according to ambient light conditions, circuit characteristics and pixel spacing. This simulation method can improve the performance, image quality and energy efficiency of the display, while ensuring that LED display boxes of different shapes, sizes and clarity maintain visibility and color accuracy in different lighting environments. A parametric simulation model of LED display that is closer to the actual situation can be obtained, thereby accurately simulating the parametric simulation model, obtaining accurate box performance predictions, and reducing model optimization time, providing a powerful tool for developing more accurate and intelligent ambient light compensation algorithms, and ultimately achieving the goal of maintaining excellent display effects regardless of how the ambient light changes.

[0102] Preferably, step S1 comprises the following steps:

[0103] Step S11: performing display surface light sensing processing on the LED display screen box to obtain display surface light sensing data;

[0104] In an embodiment of the present invention, first, according to the size, shape and display area of ​​the LED display box, a deployment plan of the light sensor is determined, and a suitable type of light sensor, such as a photodiode, is selected and evenly distributed on the display surface of the display box, ensuring that the light sensor maintains a suitable distance and angle with the display surface to avoid blocking the display content or being interfered by external light.

[0105] Step S12: extracting the display surface spectrum from the display surface light sensing data to obtain display surface spectrum data;

[0106] In an embodiment of the present invention, a spectrometer is used to measure the LED display box, the probe of the spectrometer is aimed at the display surface light sensor, and a certain distance is maintained to ensure that the light signal can be completely received by the probe, and the measurement parameters of the spectrometer are set, including the wavelength range, sampling interval and integration time, to obtain the display surface spectrum data.

[0107] Step S13: extracting light wavelength data from the display surface spectrum data to obtain the display surface light wavelength data;

[0108] In the embodiment of the present invention, by analyzing the display surface spectrum data, the light wavelength information corresponding to each sampling point is extracted, which can be realized by using data processing software to store the extracted light wavelength data as an array or a list.

[0109] Step S14: extracting light color response characteristics of the display surface spectrum based on the display surface light wavelength data to obtain light color response characteristic data;

[0110] In the embodiment of the present invention, the light color response characteristic data is obtained by performing weighted calculation on the extracted display surface light wavelength data according to the CIE1931 color matching function.

[0111] Step S15: performing sensing light color recognition on the display surface light sensing data based on the light color response characteristic data to obtain sensing light color data;

[0112] In an embodiment of the present invention, the obtained light color response characteristic data is used in combination with a color space conversion algorithm, such as CIEXYZ color space conversion, to convert the display surface spectrum data into color data perceivable by the human eye, namely, sensor light color data.

[0113] Step S16: performing color weight analysis on the sensing light color data based on the display surface spectrum data to obtain weight data of the three primary colors of the sensing light.

[0114] In an embodiment of the present invention, the sensor light color data is mapped into a color space based on the acquired display surface spectral data and the obtained sensor light color data, and the color point positions of the sensor light color data are obtained. The proportions of red, green and blue in the sensor light color data are calculated based on the color point positions to obtain the weight data of the three primary colors of the sensor light.

[0115] The present invention can capture the light information on the surface of the display screen in real time and accurately by deploying a light sensor on the LED display screen box, providing a reliable data basis for subsequent color correction; the light sensor collects the light emitted by the display screen and decomposes it into spectral data of different wavelengths, which can accurately describe the luminous intensity of the display screen in different colors, providing more detailed information for subsequent analysis; extracting data of each wavelength from the spectral data can more intuitively analyze the performance of the display screen in specific colors, such as red, green, and blue, which is convenient for subsequent targeted color correction; based on the display surface light wavelength data, the light color response feature of the spectrum is extracted. This step is intended to identify and capture the response intensity of different color components in the display surface light, thereby providing feature data support for the light color recognition of the sensor; using the light color response feature data, the display surface light sensing data is subjected to sensor light color recognition, which can determine the specific color of the light captured by the sensor and express it digitally, providing a basis for subsequent color weight analysis and display screen color calibration; based on the display surface light wavelength data, the light color response feature of the spectrum is extracted, which is intended to identify and capture the response intensity of different color components in the display surface light, thereby providing feature data support for the light color recognition of the sensor.

[0116] Preferably, step S16 comprises the following steps:

[0117] Step S161: extracting three-primary color spectrum from the display surface spectrum data to obtain three-primary color spectrum data;

[0118] In an embodiment of the present invention, by acquiring the spectral data of the standard RGB three primary colors, the spectral data of the RGB sub-pixels in the LED display screen can be used, and then the acquired display surface spectral data is analyzed to decompose the spectral data into a linear combination of red, green, and blue color spectra to obtain the three primary color spectral data. The decomposition method can use linear regression and principal component analysis algorithms.

[0119] Step S162: constructing a color space coordinate system for the three-primary color spectrum data to obtain a three-primary color space coordinate system;

[0120] In the embodiment of the present invention, the three-primary color spectrum data is used to construct a three-primary color space coordinate system. The RGB color space model can be selected, and the three-color spectrum data are used as the basis vectors of the coordinate system to establish a three-dimensional color space, where each coordinate axis represents a color and the coordinate value represents the intensity of the color spectrum.

[0121] Step S163: mapping the color feature points of the three-primary color space system based on the sensing light color data to obtain the sensing light color point data;

[0122] In an embodiment of the present invention, the obtained sensor light color data is converted into a constructed three-primary color space coordinate system, and the coordinate values ​​of the sensor light color data in the three-primary color space are calculated according to the conversion formula of the selected color space model to obtain the sensor light color point data.

[0123] Step S164: Calculate the color weight of the sensed light color data based on the sensed light color point data to obtain weight data of the three primary colors of the sensed light.

[0124] In an embodiment of the present invention, the projection ratio of the color point in the three-primary color space coordinate system relative to the origin is calculated based on the obtained sensor light color point data. The three ratio values ​​respectively represent the weights of the three colors red, green and blue in the sensor light color, that is, the sensor light three-primary color weight data. For example, if the projection ratio of the color point on the red axis is larger, it means that the color contains more red components, and the corresponding red weight is relatively large.

[0125] The present invention can effectively separate and obtain the spectral components of the three primary colors of red, green and blue in the display surface light by extracting the three primary color spectrum of the display surface spectrum data, which helps to accurately analyze the distribution of the display surface light in the three primary color space and provide basic data support for the subsequent construction of the color space coordinate system; the color space coordinate system is constructed for the three primary color spectrum data to establish a unique three-dimensional color space. In this coordinate system, the various colors of the display surface light under the combination of the three primary colors can be accurately represented. This step provides a quantitative analysis framework for the mapping and weight calculation of the sensor light color data; by mapping the color feature points of the three primary color space coordinate system, the sensor light color data can be projected into this three-dimensional space, which is conducive to intuitively showing the specific position and color characteristics of the sensor light under the three primary color spectrum of the display surface, thereby providing a visual reference for the subsequent color weight calculation; by mapping the color feature points of the three primary color space coordinate system, the sensor light color data can be projected into this three-dimensional space. This is conducive to intuitively showing the specific position and color characteristics of the sensing light under the three primary color spectrum of the display surface, thereby providing a visual reference for the subsequent color weight calculation. Through the above steps, the spectral data can be converted into more intuitive color space coordinate information, and the weight of each color in the final color presentation can be accurately calculated.

[0126] Preferably, step S2 comprises the following steps:

[0127] Step S21: constructing a circuit simulation model for the LED display screen box to obtain a display screen circuit simulation model;

[0128] In an embodiment of the present invention, by using professional circuit simulation software, such as LTspice and PSpice, a detailed circuit simulation model is constructed according to the circuit schematic diagram of the LED display box. The model should include key components such as LED driver chips, MOSFET switch tubes, LED lamp beads, and current-limiting resistors, and accurately describe their electrical characteristics and connection relationships. In addition, it is also necessary to set appropriate simulation parameters, such as power supply voltage, clock frequency, and drive waveform to simulate the actual working environment.

[0129] Step S22: acquiring the driving current of the display screen circuit simulation model to obtain circuit driving current data;

[0130] In an embodiment of the present invention, different input signals and control parameters are set in the constructed display screen circuit simulation model to simulate the working state of the LED display screen under different brightness and colors. Through simulation operation, the driving current data flowing through the LED lamp beads under different working states is obtained, and its change pattern, i.e., the circuit driving current data, is recorded.

[0131] Step S23: performing drive current output ratio allocation on the circuit drive current data based on the weight data of the three primary colors of the sensing light to obtain drive current output allocation ratio data;

[0132] In an embodiment of the present invention, the obtained circuit driving current data is distributed according to the weight ratio of red, green and blue according to the acquired weight data of the three primary colors of sensor light, so as to obtain the driving current output distribution ratio data. For example, if the weight data of the three primary colors of sensor light show that red accounts for 60%, green accounts for 30%, and blue accounts for 10%, then the total driving current is distributed to the red, green and blue LED lamp beads in the ratio of 6:3:1.

[0133] Step S24: performing data mapping on the display screen circuit simulation model based on the drive current output distribution ratio data and the display surface spectrum data to obtain the display screen optoelectronic parameter model.

[0134] In an embodiment of the present invention, by combining the acquired display surface spectral data and the obtained driving current output distribution ratio data, the current data in the circuit simulation model is mapped to the light output data, and a photoelectric parameter model of the display screen is constructed. Specifically, a functional relationship between the driving current and the light output can be established based on the photoelectric characteristic curve of the LED lamp bead, and the driving current output distribution ratio data is applied to the function, and finally the spectral power distribution data of the display screen under different driving current combinations is obtained, thereby completing the construction of the photoelectric parameter model.

[0135] The present invention can simulate and analyze the circuit characteristics and behaviors of the display screen by constructing a circuit simulation model of the LED display screen box. This model can comprehensively consider the electrical parameters, component characteristics and interconnection relationship of the display screen, and provide a virtual test platform for driving current acquisition and subsequent driving current output distribution; by obtaining circuit driving current data through the simulation model, the current level required for driving the LED display screen to emit light can be understood and analyzed, which is helpful to determine the relationship between the power consumption characteristics of the display screen, the performance of the driving circuit and the luminous efficiency of the display screen, thereby providing basic data for optimizing the driving current output distribution of the display screen; the output ratio of the circuit driving current is distributed based on the weight data of the three primary colors of the sensing light, which can optimize the balance between the current consumption and color performance of the display screen. This step can reasonably distribute the output ratio of the driving current according to the different current requirements of different colors of light; by mapping the circuit driving current output distribution ratio data and the display surface spectrum data into the simulation model, a comprehensive display screen photoelectric parameter model can be established, which can comprehensively consider the circuit characteristics and optical characteristics, and simulate the photoelectric response of the display screen under different driving current and ambient light conditions, which is conducive to the comprehensive and accurate prediction and optimization of the visual effect and performance of the display screen before the actual manufacturing and deployment of the display screen.

[0136] Preferably, step S21 includes the following steps:

[0137] Step S211: setting display surface nodes for the LED display screen box to obtain display surface node data;

[0138] In an embodiment of the present invention, by determining the basic display units, such as a single pixel and a light board module, of the LED display box according to its model and specifications, a two-dimensional coordinate system is established on the display surface of the display box, and according to the arrangement of the display surface units, the position of each unit in the coordinate system is identified and marked, and its coordinate value is recorded as node data, and the coordinate data of all nodes is stored.

[0139] Step S212: performing current sensing processing on the LED display screen box based on the display surface node data to obtain node current sensing data;

[0140] In an embodiment of the present invention, the current direction and size of each node are analyzed according to the circuit design and power supply method of the LED display box, and a suitable current sensor type, such as a Hall current sensor or a current transformer, is selected according to the size and accuracy requirements of the node current. According to the measurement principle of the current sensor and the direction of the node current, the position of each sensor in the circuit is determined, the information of each current sensor is recorded, and associated with the corresponding node data.

[0141] Step S213: extracting node electrical characteristic data from the node current sensing data to obtain node electrical characteristic data;

[0142] In an embodiment of the present invention, the node current sensor is connected to a data acquisition device, such as a data acquisition card, for collecting current signals. The sampling frequency and sampling accuracy parameters of the data acquisition device are set according to the operating frequency and current variation characteristics of the LED display box. When the LED display box is in normal working condition, the data acquisition device is controlled to collect data from each node current sensor, and the collected current data is analyzed and processed to extract the current peak value, current mean value, and current waveform electrical characteristic data of each node.

[0143] Step S214: Scan the circuit layout of the LED display box to obtain the circuit layout of the display screen;

[0144] In an embodiment of the present invention, a suitable circuit layout scanning method, such as image recognition or X-ray scanning, is selected according to the structure and complexity of the LED display box, and a circuit image inside the LED display box is acquired using the selected scanning method. The acquired circuit image is processed and analyzed, and various components in the circuit are identified and marked. Based on the connection relationship between the components, a topological structure of the display circuit is established, which can be represented in the form of a circuit diagram or a network diagram.

[0145] Step S215: constructing a circuit simulation model for the display screen circuit layout based on the node electrical characteristic data to obtain a display screen circuit simulation model.

[0146] In an embodiment of the present invention, appropriate circuit simulation software is selected according to the circuit type and simulation requirements of the LED display box, and a corresponding circuit model is constructed in the simulation software according to the obtained display circuit layout, including the models and connection relationships of each component, and the parameters of each component in the circuit model are set according to the actual component parameters of the LED display box and the obtained node electrical characteristic data, and the circuit simulation model is run to simulate the circuit behavior of the LED display box in different working states, such as current distribution, voltage change, and power consumption analysis.

[0147] The present invention can determine the key positions and measurement points on the display surface by setting display surface nodes on the LED display box. This step helps to plan and deploy current sensors to ensure comprehensive collection and analysis of the current distribution on the display surface; deploying current sensors according to the display surface node data can monitor and collect current information of each node on the display surface in real time. The current sensor can accurately measure the current flowing through each node, providing basic data for obtaining the current distribution characteristics of the display surface and circuit simulation; the node current sensor collects the current and voltage electrical parameters of each node under different working conditions, and records the relevant data. These data reflect the current distribution of the LED display during actual operation, and provide a data basis for building a circuit simulation model that is closer to reality; use a scanner or other equipment to scan the circuit routing inside the LED display box to obtain a clear circuit connection topology diagram. This provides the necessary structural information for building a circuit simulation model; combined with the scanned circuit layout diagram and the electrical characteristic data of each node, the circuit simulation model of the LED display is established using circuit simulation software. This model can more realistically reflect the working state of the actual circuit and provide a reliable simulation platform for subsequent performance analysis, fault diagnosis and optimization design; through the above steps, the actual measurement data is combined with circuit simulation technology to build a more accurate and reliable LED display circuit simulation model, which provides a powerful tool for further improving the performance of the display.

[0148] Preferably, step S3 comprises the following steps:

[0149] Step S31: deploying ambient light sensors on the LED display box to obtain ambient light sensors;

[0150] In an embodiment of the present invention, a light sensor with a wide spectral response range, high precision and fast response speed is selected and installed on the front of the display screen cabinet to avoid direct sunlight, so as to obtain the ambient light information around the display screen to the greatest extent, connect the sensor to the control system, and perform calibration.

[0151] Step S32: acquiring ambient spectrum data of the LED display box based on the ambient light sensor to obtain display surface ambient spectrum data;

[0152] In an embodiment of the present invention, the deployed ambient light sensor collects ambient spectral data at a preset sampling frequency, and the photocurrent signal output by the sensor is converted into a digital signal after amplification and filtering, and transmitted to the control system. The control system converts the digital signal into a spectral intensity value within the corresponding wavelength range according to the sensor calibration parameters, and finally obtains the display surface ambient spectral data containing light intensity information of different wavelengths.

[0153] Step S33: performing ambient light intensity analysis on the display surface ambient spectrum data to obtain display surface ambient light intensity data;

[0154] In an embodiment of the present invention, the ambient light intensity is calculated by utilizing the acquired display surface ambient spectral data. The integration method can be used to integrate the spectral intensity values ​​of all bands to obtain a total light intensity value, or different weight coefficients can be assigned to the spectral intensity values ​​of different bands, and then the weighted sum is performed to obtain the ambient light intensity value.

[0155] Step S34: Acquire the ambient color temperature of the display surface ambient spectrum data to obtain ambient color temperature data;

[0156] In an embodiment of the present invention, the ambient color temperature is calculated based on the ambient spectrum data of the display surface. First, the spectrum data is converted into chromaticity coordinates using a chromaticity system. Then, based on the correspondence between the blackbody radiation curve and the chromaticity diagram, the blackbody radiation color temperature closest to the calculated chromaticity coordinates is found, which is the current ambient color temperature.

[0157] Step S35: adjusting the output of the driving current data of the display screen optoelectronic parameter model based on the display surface ambient light intensity data to obtain driving current output adjustment data;

[0158] In an embodiment of the present invention, the LED driving current is adjusted based on the acquired display surface ambient light intensity data combined with a pre-established display screen optoelectronic parameter model, which describes the relationship between LED brightness, chromaticity and driving current. The required driving current adjustment amount is calculated through the model according to changes in ambient light intensity.

[0159] Step S36: performing display color temperature correction on the LED display box based on the ambient color temperature data to obtain display color temperature correction data;

[0160] In the embodiment of the present invention, the display color temperature of the LED display box is corrected after obtaining the ambient color temperature data, and the correction value is calculated by comparing the ambient color temperature with the current color temperature of the display. This process involves adjusting the driving current of the three primary colors of the LED to change the overall color temperature of the display. If the ambient light is cold and the color temperature is high, the intensity of the red light needs to be increased to warm the display color temperature; if the ambient light is warm, the intensity of the blue light needs to be increased to cool the display color temperature.

[0161] Step S37: calibrating the output ratio of the driving current of the display screen optoelectronic parameter model based on the display color temperature correction data to obtain calibrated output driving current ratio data;

[0162] In an embodiment of the present invention, the driving current output ratio of the display screen optoelectronic parameter model is accurately calibrated based on the display color temperature correction data, the current driving current ratio between the three primary colors of the LED is analyzed, and the target driving current ratio is calculated according to the display color temperature correction data, thereby obtaining the calibrated output driving current ratio data.

[0163] Step S38: Based on the drive current output adjustment data and the calibration output drive current ratio data, the display surface ambient spectrum data is subjected to an ambient light influence current curve drawing to obtain the ambient light influence current curve.

[0164] In an embodiment of the present invention, by integrating the acquired ambient spectrum data, the calculated driving current adjustment data and the calculated calibrated output driving current ratio data, an ambient light influence current curve is drawn with the ambient light intensity as the horizontal coordinate and the calibrated output driving current ratio of the red, green and blue LED lights as the vertical coordinate.

[0165] The present invention can monitor and collect the light conditions of the surrounding environment in real time by deploying an ambient light sensor on the LED display box. This includes the spectrum, intensity and color temperature information of natural light, artificial lighting or mixed light sources, providing basic data for analyzing the ambient light impact of the display screen and optimizing the performance of the display screen; obtaining the display surface environmental spectrum data can understand and analyze the spectral composition of the surrounding ambient light. This step helps to determine the intensity of different wavelength components in the ambient light, capture the color characteristics of the ambient light, and thus provide basic spectrum information for subsequent ambient light intensity analysis and color temperature acquisition; obtaining the display surface environmental spectrum data can understand and analyze the spectral composition of the surrounding ambient light. This step helps to determine the intensity of different wavelength components in the ambient light, capture the color characteristics of the ambient light, and thus provide basic spectrum information for subsequent ambient light intensity analysis and color temperature acquisition; by analyzing the ambient spectrum data, the color temperature value of the current ambient light is calculated, which is used to judge the cold and warm tones of the ambient light, and provide a basis for subsequent color temperature correction; based on the ambient light intensity data, the drive current data output of the display screen optoelectronic parameter model can be adjusted. This step can dynamically adjust the brightness and contrast of the display screen, while ensuring the display effect and saving energy. When the ambient light gets darker, the drive current output is reduced to reduce power consumption; when the ambient light gets brighter, the drive current output is increased to ensure the visibility of the display screen; according to the ambient color temperature data, the color temperature of the display screen is adjusted accordingly to match it with the color temperature of the ambient light to avoid color cast or inconsistency with the environment; through the feedback of the ambient color temperature data, the output drive current ratio of the display screen optoelectronic parameter model is calibrated. This step can fine-tune the color performance of the display screen to ensure the color accuracy and consistency of the display screen; based on the ambient light intensity data and the calibrated output drive current ratio data, an ambient light impact current curve can be drawn. This curve can intuitively represent the output adjustment of the drive current under different ambient light intensity conditions, providing guidance for the design and optimization of the drive circuit of the display screen.

[0166] Preferably, step S4 comprises the following steps:

[0167] Step S41: acquiring display parameters of the LED display box to obtain display parameter data of the display;

[0168] Step S42: Calculate the pixel spacing of the display screen display parameter data to obtain the display surface pixel spacing;

[0169] Step S43: plotting a spacing-temperature curve for the pixel spacing on the display surface based on the display screen optoelectronic parameter model and the current curve of the ambient light influence, to obtain a spacing-temperature curve;

[0170] Step S44: performing signal error analysis on the pixel spacing of the display surface based on the display screen optoelectronic parameter model and the LED display screen box to obtain spacing signal error influencing parameters;

[0171] Step S45: performing curve fitting on the pixel pitch on the display surface based on the pitch temperature curve and the pitch signal error influencing parameter to obtain a pitch signal influencing curve;

[0172] Step S46: Optimizing the simulation parameters of the display screen optoelectronic parameter model based on the spacing signal influence curve to obtain a parameterized simulation model of the LED display screen box.

[0173] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S4 in FIG. 1 , in this embodiment, step S4 includes the following steps:

[0174] Step S41: acquiring display parameters of the LED display box to obtain display parameter data of the display;

[0175] In an embodiment of the present invention, by reading the control system information or product parameter manual of the LED display box, various display parameters of the display screen are obtained, including but not limited to: screen size, resolution, pixel composition, and these parameter data are sorted and summarized to form a display screen display parameter data set.

[0176] Step S42: Calculate the pixel spacing of the display screen display parameter data to obtain the display surface pixel spacing;

[0177] In an embodiment of the present invention, the pixel spacing of the display surface is calculated by obtaining display parameter data of the display screen, especially the screen size and resolution information. For example, the horizontal spacing is obtained by calculating the horizontal size of the screen and the horizontal resolution, and the horizontal and vertical spacings are obtained by calculating the vertical size of the screen and the vertical resolution. The two data are combined to calculate and obtain the pixel spacing of the display surface.

[0178] Step S43: plotting a spacing-temperature curve for the pixel spacing on the display surface based on the display screen optoelectronic parameter model and the current curve of the ambient light influence, to obtain a spacing-temperature curve;

[0179] In an embodiment of the present invention, by combining the acquired ambient light impact current curve and the pre-established display screen optoelectronic parameter model, the LED driving current and luminous efficiency changes corresponding to different ambient temperature intensities and different pixel spacings are analyzed. Since the LED luminous efficiency is closely related to its junction temperature, the temperature intensity of the display screen box with different pixel spacings in the same environment and the LED junction temperature change curve corresponding to different pixel spacings can be obtained by calculation, that is, the spacing temperature curve.

[0180] Step S44: performing signal error analysis on the pixel spacing of the display surface based on the display screen optoelectronic parameter model and the LED display screen box to obtain spacing signal error influencing parameters;

[0181] In an embodiment of the present invention, by analyzing the pixel noise data of LED display screens with different pixel pitches, combining the display screen optoelectronic parameter model and the circuit design parameters of the LED display screen box, the bit error situation that occurs during signal transmission under different pixel pitches is simulated, and the relationship between the bit error rate and the pixel pitch is quantitatively analyzed to obtain the pitch signal bit error influencing parameter.

[0182] Step S45: performing curve fitting on the pixel spacing on the display surface based on the spacing temperature curve and the signal error influencing parameter to obtain a spacing signal influencing curve;

[0183] In an embodiment of the present invention, the comprehensive performance of the LED display screen under different pixel spacings is evaluated by comprehensively acquiring the spacing temperature curve and calculating the spacing signal error influence parameter. The pixel spacing, LED junction temperature, and signal error rate factors are comprehensively analyzed and fitted by curve fitting. The curve fitting process involves polynomial regression to obtain the spacing signal influence curve.

[0184] Step S46: Optimizing the simulation parameters of the display screen optoelectronic parameter model based on the spacing signal influence curve to obtain a parameterized simulation model of the LED display screen box.

[0185] In an embodiment of the present invention, the optimal pixel spacing is selected according to the spacing signal influence curve, and based on this, the relevant parameters in the display screen optoelectronic parameter model are optimized and adjusted, such as LED drive current, refresh frequency, and gamma correction curve. The effect of parameter optimization is verified through simulation, and finally a parameterized simulation model of the LED display screen box is obtained.

[0186] The present invention obtains display parameter data of an LED display box, including resolution, number of pixels and size information, which provides basic data for subsequent calculation of display surface pixel spacing and analysis of signal bit error impact; obtains display parameter data of an LED display box, including resolution, number of pixels and size information, which provides basic data for subsequent calculation of display surface pixel spacing and analysis of signal bit error impact; and draws a spacing temperature curve based on a display screen optoelectronic parameter model and an ambient light impact current curve, which can represent the relationship between the display surface pixel spacing and temperature. Temperature changes will affect the physical properties of pixel spacing, and thus affect the display effect. Drawing this curve helps analyze the impact of temperature changes on display performance so that the temperature factor can be incorporated into the simulation model. Based on the display optoelectronic parameter model and the ambient light impact current curve, a spacing temperature curve is drawn. This curve can represent the relationship between the pixel spacing and temperature of the display surface. Temperature changes will affect the physical properties of the pixel spacing, and thus affect the display effect. Drawing this curve helps analyze the impact of temperature changes on display performance so that the temperature factor can be incorporated into the simulation model. Based on the spacing temperature curve and the signal error impact parameter, curve fitting is performed to obtain the spacing signal impact curve. This curve combines the impact of temperature changes and pixel spacing on signal transmission. It can help designers predict and evaluate the impact of pixel spacing on signal integrity and accuracy at different temperatures, thereby optimizing the display drive circuit and signal processing technology accordingly. Using the spacing signal impact curve, the simulation parameters of the display optoelectronic parameter model are optimized. This step can obtain a more accurate and comprehensive LED display box parametric simulation model. The model takes into account the impact of temperature factors and pixel pitch on signal transmission, thereby more accurately simulating and analyzing the performance of the display under different environmental conditions, which helps to optimize the design of the display, improve display effects and image quality, and reduce errors in signal transmission.

[0187] Preferably, step S43 includes the following steps:

[0188] Step S431: performing pixel point positioning on the pixel spacing of the display surface to obtain pixel point positions;

[0189] In an embodiment of the present invention, the pixel pitch of the target display screen, that is, the distance between two adjacent pixels, is determined, and then a two-dimensional coordinate system is established, with the upper left corner of the display screen as the origin, the horizontal direction as the X-axis, and the vertical direction as the Y-axis. According to the pixel pitch, the position coordinates of each pixel point in the coordinate system are calculated one by one, and the coordinates of all pixel points are recorded to form a pixel point data set.

[0190] Step S432: performing single-point power analysis on the pixel points based on the display screen optoelectronic parameter model and the current curve of ambient light impact, and obtaining pixel point power data;

[0191] In an embodiment of the present invention, a pixel power calculation model is established based on the optoelectronic parameter model of the target display screen, such as the pixel luminous efficiency, driving voltage, and the influence curve of ambient light on current. The model takes the pixel coordinates and ambient light intensity as input parameters, and outputs the power value of the corresponding pixel. The pixel point data set obtained in the traversal substitutes the coordinate information of each pixel into the model for calculation to obtain the power data of each pixel, thereby forming a pixel point power data set.

[0192] Step S433: Calculating the power density per unit area of ​​the pixel power data based on the pixel spacing of the display surface to obtain the power density per unit area;

[0193] In an embodiment of the present invention, the unit area represented by each pixel is calculated based on the determined pixel spacing. For example, for a square pixel arrangement, the unit area is the square of the pixel spacing. The power data of each pixel is divided by its corresponding unit area to obtain the unit area power density of each pixel, thereby forming a unit area power density data set.

[0194] Step S434: Calculate the power density heat value for the power density per unit area to obtain the power density heat value;

[0195] In an embodiment of the present invention, a conversion model between power density and calorific value is established, which can take into account thermal conduction efficiency and material specific heat capacity factors. The power density per unit area of ​​each pixel is substituted into the model for calculation to obtain the power density calorific value of each pixel, thereby forming a power density calorific value data set.

[0196] Step S435: performing thermal coupling increase analysis on the power density heat value to obtain pixel thermal coupling increase data;

[0197] In an embodiment of the present invention, a pixel thermal coupling model is established by analyzing the heat conduction effect between adjacent pixels. The model takes the pixel position and power density heat generation as input parameters, outputs the additional heat increase value of each pixel due to the thermal coupling effect, and forms a pixel thermal coupling increase data set.

[0198] Step S436: performing data fitting on the power density heat value and the pixel point thermal coupling increase data to obtain the heat value per unit area;

[0199] In an embodiment of the present invention, the power density calorific value data set is superimposed with the pixel thermal coupling increase data set to obtain the total heat actually generated by each pixel, and the total heat data of all pixels are fitted using data fitting techniques, such as the least squares method and spline interpolation, to obtain the functional relationship between the calorific value per unit area and the pixel position.

[0200] Step S437: Draw a temperature influence curve for the pixel spacing on the display surface based on the heat generated per unit area to obtain a spacing temperature curve.

[0201] In an embodiment of the present invention, a relationship model between heat generation per unit area and temperature is established through the principles of thermodynamics. The model can take into account factors such as ambient temperature and heat dissipation conditions. The heat generation function per unit area is substituted into the model, and the pixel spacing is used as an independent variable to calculate the temperature values ​​at different pixel spacings. Finally, the calculation results are plotted into a graph to obtain a spacing-temperature curve.

[0202] The present invention can determine the specific pixel position on the display surface by performing pixel point positioning on the pixel spacing of the display surface. This step provides an accurate reference position for subsequent single-point power analysis and calculation of power density per unit area; based on the optoelectronic parameter model of the display screen and the current curve of ambient light affecting the current, single-point power analysis is performed on the pixel points. This step can analyze and calculate the power level of the specific pixel points, taking into account the electro-optical characteristics of the display screen and the influence of ambient light on the power; based on the optoelectronic parameter model of the display screen and the current curve of ambient light affecting the current, single-point power analysis is performed on the pixel points. This step can analyze and calculate the power level of the specific pixel points, taking into account the electro-optical characteristics of the display screen and the influence of ambient light on the power; based on the optoelectronic parameter model of the display screen and the current curve of ambient light affecting the current, single-point power analysis is performed on the pixel points. This step can analyze and calculate the power level of the specific pixel points, taking into account the electro-optical characteristics of the display screen and the influence of ambient light on the power Influence; Consider the heat conduction and heat radiation effects between adjacent pixels, analyze the thermal coupling phenomenon between pixels, and calculate the additional temperature rise caused by thermal coupling, that is, the pixel thermal coupling increase data. This step can evaluate how the power density heat generation affects the overall temperature of the display component and provide data support for subsequent processing; By fitting the power density heat generation and pixel thermal coupling increase data, the heat generation per unit area of ​​the display surface can be determined. This step integrates the thermal transfer characteristics of the display component and provides basic data for drawing the temperature influence curve and simulating the temperature distribution of the display; Based on the heat generation per unit area and the display optoelectronic parameter model, the influence curve between the pixel spacing and the temperature of the display surface can be drawn. This curve can intuitively represent the relationship between the pixel spacing and the display surface temperature. It helps designers analyze and predict the temperature distribution under different pixel spacings, identify potential hot spots, and optimize the heat dissipation design of the display.

[0203] Preferably, step S44 includes the following steps:

[0204] Step S441: performing signal transmission line analysis on the display screen optoelectronic parameter model based on the display surface pixel pitch to obtain signal transmission line data;

[0205] In an embodiment of the present invention, the physical parameters of the signal transmission line, such as line width and line spacing, are determined according to the pixel spacing and optoelectronic parameter model of the target display screen. These parameters will change with the change of the pixel spacing. For example, the smaller the pixel spacing, the thinner and denser the signal transmission line needs to be to meet the signal transmission requirements. The characteristic impedance parameters of the signal transmission line at different pixel spacings are calculated through electromagnetic field simulation software, and these parameters are associated with the corresponding pixel spacing to form a signal transmission line data set.

[0206] Step S442: Calculating the signal transmission line arrangement density for the signal transmission line data to obtain the signal transmission line arrangement density;

[0207] In an embodiment of the present invention, the number of signal transmission lines per unit area, that is, the arrangement density of the signal transmission lines, is calculated based on the signal transmission line data, especially the line width and line spacing parameters. For example, the total length of the signal transmission lines per square millimeter, or the average area occupied by each signal transmission line, can be calculated, and the signal transmission line arrangement density corresponding to different pixel spacings is recorded to form a signal transmission line arrangement density data set.

[0208] Step S443: extracting density pixel noise from the LED display box based on the arrangement density of the signal transmission lines to obtain density pixel noise data;

[0209] In an embodiment of the present invention, through the relationship between the arrangement density of signal transmission lines and the pixel noise of the LED display box, the higher the arrangement density of signal transmission lines, the stronger the electromagnetic interference between the lines, and the more likely it is to generate pixel noise. Through simulation, a model between the arrangement density of signal transmission lines and the amount of pixel noise is established, and the obtained signal transmission line arrangement density data set is substituted into the model to calculate the corresponding pixel noise amount under different pixel spacings to form a density pixel noise data set.

[0210] Step S444: Calculating the pixel noise ratio of the LED display box based on the density pixel noise data to obtain pixel noise ratio data;

[0211] In the embodiment of the present invention, the obtained density pixel noise data is converted into a pixel noise ratio according to the total number of pixels in the LED display screen box, that is, the percentage of the number of pixel noise to the total number of pixels.

[0212] Step S445: performing transmission signal bit error rate conversion on the pixel noise ratio data to obtain the transmission signal bit error rate;

[0213] In an embodiment of the present invention, by establishing a relationship model between the pixel noise ratio and the transmission signal bit error rate, the higher the pixel noise ratio, the greater the interference to the transmission signal and the higher the bit error rate. The model can be determined by theoretical deduction, and the pixel noise ratio data set is substituted into the model to calculate the corresponding transmission signal bit error rate at different pixel spacings to form a transmission signal bit error rate data set.

[0214] Step S446: performing pitch-influence-signal-bit-error-parameter analysis on the transmission signal bit error rate based on the display surface pixel pitch to obtain pitch-signal-bit-error-influence-parameter.

[0215] In an embodiment of the present invention, by analyzing the transmission signal bit error rate data set, the influence of pixel spacing on the transmission signal bit error rate is extracted, and curve fitting and regression analysis methods can be used to quantitatively describe the relationship between pixel spacing and transmission signal bit error rate, and finally obtain the spacing signal bit error influencing parameter. For example, every time the pixel spacing is reduced by 0.1mm, the transmission signal bit error rate increment is calculated and obtained.

[0216] The present invention can obtain the layout and characteristic information of the signal transmission lines in the display screen by performing signal transmission line analysis on the optoelectronic parameter model of the display screen. This step helps to understand the transmission path and potential influencing factors of the electrical signal in the display screen, and provides basic data for subsequent analysis of signal transmission quality and identification of noise impact; the arrangement density of the signal transmission lines is calculated to evaluate the distribution density of the signal transmission lines in the display screen. This step helps to analyze the difference in signal transmission quality in different areas of the display screen and identify existing signal congestion or transmission delay problems; based on the arrangement density of the signal transmission lines, density pixel noise data is extracted from the LED display screen box. This step can identify and locate the noise or interference generated by the signal transmission line density in the display screen; by calculating L The density pixel noise data of the ED display box can determine the proportion of pixel noise in the display. This step quantifies the number of pixels in the display that are affected by the density of signal transmission lines, providing a reference for analyzing signal transmission quality and optimizing display performance; converting the pixel noise ratio data into the transmission signal bit error rate can evaluate the signal transmission quality. This step converts the noise ratio into a specific signal bit error rate value, providing a quantitative indicator for subsequent analysis of the impact of noise on the signal and optimization of the transmission quality of the display; converting the pixel noise ratio data into the transmission signal bit error rate can evaluate the signal transmission quality. This step converts the noise ratio into a specific signal bit error rate value, providing a quantitative indicator for subsequent analysis of the impact of noise on the signal and optimization of the transmission quality of the display.

[0217] Preferably, step S45 includes the following steps:

[0218] Step S451: acquiring the spacing temperature data of the pixel spacing on the display surface based on the spacing temperature curve to obtain the spacing temperature data;

[0219] Step S452: performing channel resistance analysis on the spacing temperature data to obtain channel resistance data;

[0220] Step S453: performing transmission signal delay calculation on the channel resistance data to obtain transmission signal delay data;

[0221] Step S454: performing signal timing offset analysis on the transmission signal delay data to obtain signal timing offset data;

[0222] Step S455: Drawing a temperature signal timing offset curve for the spacing temperature data based on the signal timing offset data to obtain a temperature signal timing offset curve;

[0223] Step S456: performing data fitting on the temperature signal timing offset curve based on the spacing signal error influence parameter to obtain the spacing signal influence curve.

[0224] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 FIG. 4 is a schematic diagram of a detailed step flow chart of step S45 in FIG. 4 . In this embodiment, step S45 includes the following steps:

[0225] Step S451: acquiring the spacing temperature data of the pixel spacing on the display surface based on the spacing temperature curve to obtain the spacing temperature data;

[0226] In an embodiment of the present invention, by using the previously obtained spacing temperature curve, all pixel spacings that need to be analyzed are traversed, and the corresponding display screen temperature values ​​are queried, and these pixel spacing values ​​and their corresponding temperature values ​​are recorded one by one to form a spacing temperature data set.

[0227] Step S452: performing channel resistance analysis on the spacing temperature data to obtain channel resistance data;

[0228] In the embodiment of the present invention, by adopting TFT thin film transistors for the driving circuit, there is a linear relationship between the channel resistance and temperature, and the slope and intercept of the linear relationship can be obtained by experimental measurement. For each spacing temperature data, the linear relationship model is substituted to calculate the corresponding channel resistance value, and finally the channel resistance data corresponding to the spacing temperature data is obtained.

[0229] Step S453: performing transmission signal delay calculation on the channel resistance data to obtain transmission signal delay data;

[0230] In an embodiment of the present invention, by calculating the delay time of signal transmission at each pixel pitch based on the channel resistance data and the circuit model of the signal transmission path of the display screen, the signal transmission path can be simplified into a distributed RC circuit model, wherein the resistance is the channel resistance, and the capacitance is the pixel capacitance and the parasitic capacitance of the routing. By using circuit simulation software or transmission line theory, the propagation delay time of the signal in the distributed RC circuit can be calculated. For each resistance data in the channel resistance data set, it is substituted into the calculation model to obtain the corresponding signal transmission delay time.

[0231] Step S454: performing signal timing offset analysis on the transmission signal delay data to obtain signal timing offset data;

[0232] In an embodiment of the present invention, changes in signal transmission delay may cause signal timing to shift, and it is necessary to analyze and calculate the corresponding signal timing shifts at different temperatures based on the transmission signal delay data. The specific analysis method may be to use a timing analysis tool, based on the timing specifications of the display panel and the calculated signal transmission delay data, to analyze and calculate the time it takes for the signal to reach each node at different temperatures, and compare it with the standard timing to obtain the signal timing shift data.

[0233] Step S455: Drawing a temperature signal timing offset curve for the spacing temperature data based on the signal timing offset data to obtain a temperature signal timing offset curve;

[0234] In the embodiment of the present invention, by matching the signal timing offset data with the obtained spacing temperature data, a curve is drawn with temperature as the abscissa and the signal timing offset as the ordinate, so as to obtain a temperature signal timing offset curve.

[0235] Step S456: performing data fitting on the temperature signal timing offset curve based on the spacing signal error influence parameter to obtain the spacing signal influence curve.

[0236] In the embodiment of the present invention, the tolerance range of the signal timing offset is determined according to the bit error rate requirement of the display panel, the tolerance range is used as a constraint condition, the spacing signal bit error influencing parameter is determined, a suitable mathematical model is selected, data fitting is performed on the drawn temperature signal timing offset curve, and the spacing signal bit error influencing parameter is introduced. The curve obtained by fitting is the spacing signal influencing curve.

[0237] The present invention acquires data of the spacing temperature curve of the pixel spacing on the display surface, so as to intuitively understand the corresponding relationship between the pixel spacing and the temperature, and provide basic data for subsequent analysis and calculation; and performs channel resistance analysis on the spacing temperature data to obtain the change information of the channel resistance. Channel resistance is correlated with temperature. By analyzing the change in resistance, the temperature change can be inferred, which provides an effective method for monitoring and controlling temperature. Channel resistance analysis of the spacing temperature data can obtain information on the change in channel resistance. Channel resistance is correlated with temperature. By analyzing the change in resistance, the temperature change can be inferred, which provides an effective method for monitoring and controlling temperature. The timing offset of the transmission signal is analyzed. The transmission signal delay data can reflect the impact of the channel resistance change on the signal transmission time. Through the timing offset analysis, the offset of the signal reception time caused by the signal delay can be determined. This step helps to reveal the impact of temperature change on the signal timing and provides a basis for the subsequent drawing of the temperature signal timing offset curve. The temperature signal timing offset curve is drawn. Temperature change will cause the offset of the signal timing. By drawing the temperature signal timing offset curve, the relationship between temperature change and signal timing offset can be intuitively displayed, which helps to understand the mechanism of the impact of temperature on signal transmission and provides an intuitive basis for the subsequent spacing signal impact analysis. Data fitting of the temperature signal timing offset curve can obtain a mathematical model that matches the spacing signal error influencing parameters, thereby revealing the influence of temperature on signal timing offset. Through this step, the impact of temperature on signal transmission quality can be quantified and the performance and reliability of the display can be optimized based on this.

[0238] 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 parametric simulation model design method suitable for LED display box, characterized in that: The following steps are involved: Step S1: performing display surface light sensing processing on the LED display box to obtain display surface light sensing data; performing display surface spectrum extraction on the display surface light sensing data to obtain display surface spectrum data; performing sensing light color weight analysis on the display surface light sensing data based on the display surface spectrum data to obtain sensing light three primary color weight data; Step S2: constructing a circuit simulation model for the LED display box to obtain a display circuit simulation model; constructing an optoelectronic model for the display circuit simulation model based on the weight data of the three primary colors of the sensing light and the display surface spectrum data to obtain an optoelectronic parameter model of the display; Step S3: Acquire the ambient spectrum data of the LED display box to obtain the ambient spectrum data of the display surface; extract the ambient light data of the display surface ambient spectrum data to obtain the ambient light intensity data and the ambient color temperature data of the display surface; analyze the output change of the driving current data of the optoelectronic parameter model of the display screen based on the ambient light intensity data and the ambient color temperature data of the display surface to obtain the driving current output adjustment data and the calibration output driving current ratio data; draw the ambient light influence current curve of the display surface ambient spectrum data based on the driving current output adjustment data and the calibration output driving current ratio data to obtain the ambient light influence current curve; Step S4: Calculate the pixel spacing of the LED display box to obtain the pixel spacing of the display surface; draw a spacing signal influence curve on the pixel spacing of the display surface based on the optoelectronic parameter model of the display screen, the ambient light influence current curve and the LED display box to obtain the spacing signal influence curve; optimize the simulation parameters of the optoelectronic parameter model of the display screen based on the spacing signal influence curve to obtain a parameterized simulation model of the LED display box.

2. The parametric simulation model design method suitable for LED display box according to claim 1 is characterized in that: Step S1 includes the following steps: Step S11: performing display surface light sensing processing on the LED display screen box to obtain display surface light sensing data; Step S12: extracting the display surface spectrum from the display surface light sensing data to obtain display surface spectrum data; Step S13: extracting light wavelength data from the display surface spectrum data to obtain the display surface light wavelength data; Step S14: extracting light color response characteristics of the display surface spectrum based on the display surface light wavelength data to obtain light color response characteristic data; Step S15: performing sensing light color recognition on the display surface light sensing data based on the light color response characteristic data to obtain sensing light color data; Step S16: performing color weight analysis on the sensing light color data based on the display surface spectrum data to obtain weight data of the three primary colors of the sensing light.

3. The parametric simulation model design method suitable for LED display box according to claim 2 is characterized in that: Step S16 includes the following steps: Step S161: extracting three-primary color spectrum from the display surface spectrum data to obtain three-primary color spectrum data; Step S162: constructing a color space coordinate system for the three-primary color spectrum data to obtain a three-primary color space coordinate system; Step S163: mapping the color feature points of the three-primary color space coordinate system based on the sensing light color data to obtain the sensing light color point data; Step S164: Calculate the color weight of the sensed light color data based on the sensed light color point data to obtain weight data of the three primary colors of the sensed light.

4. The parametric simulation model design method suitable for LED display box according to claim 1 is characterized in that: Step S2 includes the following steps: Step S21: constructing a circuit simulation model for the LED display screen box to obtain a display screen circuit simulation model; Step S22: acquiring the driving current of the display screen circuit simulation model to obtain circuit driving current data; Step S23: performing drive current output ratio allocation on the circuit drive current data based on the weight data of the three primary colors of the sensing light to obtain drive current output allocation ratio data; Step S24: performing data mapping on the display screen circuit simulation model based on the drive current output distribution ratio data and the display surface spectrum data to obtain the display screen optoelectronic parameter model.

5. The parametric simulation model design method suitable for LED display box according to claim 4 is characterized in that: Step S21 includes the following steps: Step S211: setting display surface nodes for the LED display screen box to obtain display surface node data; Step S212: performing current sensing processing on the LED display box based on the display surface node data to obtain node current sensing data; Step S213: extracting node electrical characteristic data from the node current sensing data to obtain node electrical characteristic data; Step S214: Scan the circuit layout of the LED display box to obtain the circuit layout of the display screen; Step S215: constructing a circuit simulation model for the display screen circuit layout based on the node electrical characteristic data to obtain a display screen circuit simulation model.

6. The parametric simulation model design method suitable for LED display box according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: deploying ambient light sensors on the LED display box to obtain ambient light sensors; Step S32: acquiring ambient spectrum data of the LED display box based on the ambient light sensor to obtain display surface ambient spectrum data; Step S33: performing ambient light intensity analysis on the display surface ambient spectrum data to obtain display surface ambient light intensity data; Step S34: Acquire the ambient color temperature of the display surface ambient spectrum data to obtain ambient color temperature data; Step S35: adjusting the output of the driving current data of the display screen optoelectronic parameter model based on the display surface ambient light intensity data to obtain driving current output adjustment data; Step S36: performing display color temperature correction on the LED display box based on the ambient color temperature data to obtain display color temperature correction data; Step S37: calibrating the output ratio of the driving current of the display screen optoelectronic parameter model based on the display color temperature correction data to obtain calibrated output driving current ratio data; Step S38: Based on the drive current output adjustment data and the calibration output drive current ratio data, the display surface ambient spectrum data is subjected to an ambient light influence current curve drawing to obtain the ambient light influence current curve.

7. The parametric simulation model design method suitable for LED display box according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: acquiring display parameters of the LED display box to obtain display parameter data of the display; Step S42: Calculate the pixel spacing of the display screen display parameter data to obtain the display surface pixel spacing; Step S43: plotting a spacing-temperature curve for the pixel spacing on the display surface based on the display screen optoelectronic parameter model and the current curve of the ambient light influence, to obtain a spacing-temperature curve; Step S44: performing signal error analysis on the pixel spacing of the display surface based on the display screen optoelectronic parameter model and the LED display screen box to obtain spacing signal error influencing parameters; Step S45: performing curve fitting on the pixel pitch on the display surface based on the pitch temperature curve and the pitch signal error influencing parameter to obtain a pitch signal influencing curve; Step S46: Optimizing the simulation parameters of the display screen optoelectronic parameter model based on the spacing signal influence curve to obtain a parameterized simulation model of the LED display screen box.

8. The parametric simulation model design method applicable to the LED display box according to claim 7 is characterized in that: Step S43 includes the following steps: Step S431: performing pixel point positioning on the pixel spacing of the display surface to obtain pixel point positions; Step S432: performing single-point power analysis on the pixel points based on the display screen optoelectronic parameter model and the current curve of ambient light impact, and obtaining pixel point power data; Step S433: Calculating the power density per unit area of ​​the pixel power data based on the pixel spacing of the display surface to obtain the power density per unit area; Step S434: Calculate the power density heat value for the power density per unit area to obtain the power density heat value; Step S435: performing thermal coupling increase analysis on the power density heat value to obtain pixel thermal coupling increase data; Step S436: performing data fitting on the power density heat value and the pixel point thermal coupling increase data to obtain the heat value per unit area; Step S437: Draw a temperature influence curve for the pixel spacing on the display surface based on the heat generated per unit area to obtain a spacing temperature curve.

9. The parameterized simulation model design method for LED display box according to claim 7, characterized in that: Step S44 includes the following steps: Step S441: performing signal transmission line analysis on the display screen optoelectronic parameter model based on the display surface pixel pitch to obtain signal transmission line data; Step S442: Calculating the signal transmission line arrangement density for the signal transmission line data to obtain the signal transmission line arrangement density; Step S443: extracting density pixel noise from the LED display box based on the arrangement density of the signal transmission lines to obtain density pixel noise data; Step S444: Calculating the pixel noise ratio of the LED display box based on the density pixel noise data to obtain pixel noise ratio data; Step S445: performing transmission signal bit error rate conversion on the pixel noise ratio data to obtain the transmission signal bit error rate; Step S446: performing pitch-influence-signal-bit-error-parameter analysis on the transmission signal bit error rate based on the display surface pixel pitch to obtain pitch-signal-bit-error-influence-parameter.

10. The parametric simulation model design method applicable to the LED display box according to claim 7, characterized in that: Step S45 includes the following steps: Step S451: acquiring the spacing temperature data of the pixel spacing on the display surface based on the spacing temperature curve to obtain the spacing temperature data; Step S452: performing channel resistance analysis on the spacing temperature data to obtain channel resistance data; Step S453: performing transmission signal delay calculation on the channel resistance data to obtain transmission signal delay data; Step S454: performing signal timing offset analysis on the transmission signal delay data to obtain signal timing offset data; Step S455: Drawing a temperature signal timing offset curve for the spacing temperature data based on the signal timing offset data to obtain a temperature signal timing offset curve; Step S456: performing data fitting on the temperature signal timing offset curve based on the spacing signal error influence parameter to obtain the spacing signal influence curve.

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