Naked eye 3D grating simulation method and system

Abstract

The invention discloses a naked eye 3D grating simulation method and system, and the method comprises the steps: obtaining the angle data through instrument measurement when the moire fringes formed by the sub-pixel arrangement of an LED display screen and the grating are small, and recording the sub-pixel arrangement parameters and the moire fringe change trend; generating a high-precision digital model of the black and white film grating by adopting the calculated initial design parameters and combining an artificial intelligence aided design algorithm; judging whether the moire fringes are smaller than a preset threshold value or not by simulating the distribution characteristics of the grating period and the horizontal pitch under the preset sight distance of the display screen, and obtaining verification result data; according to the method, the development cycle is shortened, the flexibility and adaptability of the technology are improved, the problems of long development cycle and insufficient flexibility in the prior art are solved, the automation degree and efficiency of design are improved, and powerful support is provided for rapid iteration and development of the naked eye 3D technology.

Description

Technical Field

[0001] The present invention relates to the technical field of grating design and manufacturing, and in particular to a method and system for simulating a naked-eye 3D grating. Background Art

[0002] With the continuous development of digital audio-visual technology, naked-eye 3D technology, as a technology that can bring immersive visual experience to users, has received widespread attention and has made significant development and progress. However, the existing lens grating naked-eye 3D technology still has many key defects in practical application, which limits its further development and promotion.

[0003] First of all, the production process of lens grating involves complex manufacturing processes and high-precision material requirements. This not only requires high-precision processing equipment and strict quality control, but also leads to high overall production costs, increasing product production costs and market promotion difficulties.

[0004] Secondly, in the process of lens grating production, accurate estimation of mold size is crucial. However, existing technologies often make it difficult to accurately estimate mold size, which directly affects the image clarity of the final product. Specifically, it manifests itself in image blur and ghosting, which seriously affects the user's viewing experience and reduces the practicality and market competitiveness of the technology.

[0005] In addition, the production of lens gratings requires multiple mold opening, verification and adjustment processes. This process is not only time-consuming and labor-intensive, but also leads to a relatively long development cycle. This not only increases R&D costs, but also slows down the market promotion of new technologies, limiting the rapid iteration and development of naked-eye 3D technology.

[0006] In summary, the existing lens grating naked-eye 3D technology has defects to varying degrees in terms of production cost, mold size estimation, development cycle, and flexibility. Therefore, a more efficient and accurate naked-eye 3D grating simulation method is urgently needed to reduce development costs, shorten development cycles, and improve the flexibility and adaptability of the technology, thereby promoting the further development and widespread application of naked-eye 3D technology. Summary of the invention

[0007] In order to solve the above-mentioned technical problems, the present invention provides a method and system for simulating naked-eye 3D gratings.

[0008] The technical solution of the present invention is achieved in this way: A method for simulating naked-eye 3D gratings comprises the following steps: The angle data when the moiré fringes formed by the sub-pixel arrangement of the LED display screen and the grating are small is obtained through instrument measurement, and the sub-pixel arrangement parameters and the change trend of the moiré fringes are recorded; According to the sub-pixel arrangement parameters, the preset viewing distance, the length and width of the pixel, and the initial distance between the grating and the color filter, the grating period and horizontal grating pitch of the film grating are calculated to obtain the preliminary design parameters; Using the calculated preliminary design parameters and combining them with the AI-assisted design algorithm, a high-precision digital model of the black-and-white film grating is generated; Through this digital model, the distribution characteristics of the grating period and horizontal pitch are intelligently extracted and analyzed using a machine learning algorithm. At the same time, multi-dimensional parameter optimization is introduced to predict the performance of moiré fringes at different viewing distances and viewing angles. By simulating the distribution characteristics of the grating period and the horizontal grating pitch of the display screen at a preset viewing distance, it is determined whether the moiré fringes are smaller than a preset threshold value, and the verification result data is obtained; The design parameters are adjusted according to the verification result data to obtain the cylindrical lens design scheme.

[0009] Furthermore, the process of recording the sub-pixel arrangement parameters and the moiré fringe variation trend includes: The instrument collects the angle data when the sub-pixel arrangement and the grating structure interact to form moiré fringes, and obtains the initial measurement value; Extracting the characteristic data of arrangement parameters and grating structure from the initial measurement values ​​to determine the conditions for fringe formation; If the stripe formation conditions meet the preset threshold, the relationship between the angle data and the arrangement parameters is analyzed by an algorithm to determine the direction of the change trend; The support vector machine algorithm is used to classify the direction of the changing trend and obtain the stable characteristics of the trend; By comparing the morphological data of the moiré fringes with the stable characteristics of the trend, the corresponding relationship between the fringes and the sub-pixel arrangement is determined; Process the measurement results according to the corresponding relationship to obtain mapping data between sub-pixel arrangement parameters and stripe change trends; Extract key features from the mapping data to determine the extent to which the display characteristics affect the moiré fringes.

[0010] Furthermore, the process of calculating the grating period and horizontal grating pitch of the film grating to obtain preliminary design parameters includes: Through the corresponding relationship between the sub-pixel arrangement and the pixel length and width, the initial distribution data of the grating structure is obtained, and the preliminary calculation result of the grating period is obtained; According to the interactive data of the preset viewing distance and the initial distance, the variation range of the grating period is adjusted to determine the boundary value of the horizontal grating pitch; The distribution law of horizontal grid pitch is analyzed by using grid pitch characteristics to obtain stable characteristic data of the distribution law; The stable feature data is classified by the support vector machine algorithm to determine the matching degree between the grating period and the grating pitch feature; If the matching degree exceeds a preset threshold, the optimization parameters of the grating structure are extracted from the classification results to obtain the adjusted design parameters; According to the corresponding relationship between the adjusted design parameters and the distribution law, the final calculated value of the grating period is obtained; By comparing the final calculated value with the initial distribution data, the adaptability of the grating structure to the sub-pixel arrangement is determined, and the optimized grating pitch distribution is obtained.

[0011] Furthermore, the process of generating a high-precision digital model of a black-and-white film grating includes: Through the corresponding relationship between the preliminary parameters and the combined parameters, the initial digital generation data of the black and white grating is obtained, and the preliminary distribution of the grating structure is obtained; According to the interactive data between the grating structure and the design algorithm, the auxiliary design is used to adjust the variation range of the digital generation and determine the boundary value of the high-precision model; By using algorithms to generate and analyze the distribution patterns of digital models, stable characteristic data of model accuracy can be obtained to determine the adaptability of structural parameters; If the model accuracy exceeds a preset threshold, the optimization parameters of the grating structure are extracted from the stable feature data to obtain an adjusted digital model; According to the correspondence between the adjusted digital model and the black and white grating, the final distribution data of the high-precision model is obtained, and the optimal value of the parameter combination is determined; By comparing the final distribution data with the initial digitally generated data, the matching degree of the grating structure to the auxiliary design is determined, and the accuracy of the optimized model is obtained; The optimized interactive data of model accuracy and structural parameters are used to generate a complete digital model of the black and white film grating to determine the final design result.

[0012] Furthermore, the process of predicting the performance of moire fringes at different viewing distances and viewing angles includes: The initial distribution characteristic data of the grating period and horizontal grating pitch are obtained through the digital model to determine the range of feature extraction; Use machine learning algorithms to analyze the initial distribution feature data and obtain structural regularity data after feature extraction; According to the structural law data, combined with multi-dimensional parameter optimization, the distribution impact of changes in viewing distance and viewing angle is determined; By distributing the impact data, the preliminary performance data of the moiré fringes at different viewing distances are predicted; Using preliminary performance data, combined with the characteristics of viewing angle changes, we obtain the complete predicted distribution of moiré fringes; By comparing the complete predicted distribution with the initial distribution characteristic data, the adjustment value for parameter optimization is determined; The digital model is updated according to the adjustment value to obtain optimized distribution characteristic data.

[0013] Furthermore, the process of obtaining the verification result data includes: The distribution characteristic data of the grating period and the horizontal grating pitch are generated by simulating the display screen to obtain the initial distribution data; According to the initial distribution data, support vector machine algorithm is used to analyze the distribution characteristics and obtain the structural data after feature extraction; By combining the structural data with the preset viewing distance, the change trend of the moiré fringes is determined to obtain the change trend data; If the change trend data exceeds a preset threshold, new distribution feature data is generated by adjusting the grating period to obtain adjusted distribution data; According to the adjusted distribution data, a clustering algorithm is used to analyze the matching degree between the moiré fringes and the preset threshold value to obtain matching result data; By combining the matching result data with the display screen parameters, determine whether the verification result meets the conditions and obtain the final verification data; According to the final verification data, statistical tools are used to analyze the stability of the feature distribution and obtain the optimized distribution data.

[0014] Furthermore, the process of obtaining the cylindrical lens design includes: If the verification result data indicates that the moiré fringes are smaller than a preset threshold, the curvature parameters and spacing parameters of the cylindrical lens are calculated according to the distribution characteristics of the grating period and the horizontal grating pitch to obtain the first design solution data; Acquire the relative position data between the cylindrical lens and the color filter by combining the first design scheme data with the initial position of the color filter; According to the relative position data, a clustering algorithm is used to analyze the matching degree between the cylindrical lens and the grating period to obtain first matching result data; If the first matching result data exceeds the preset range, the distance between the color filter and the grating is adjusted, and the distribution characteristics are recalculated to obtain the second design solution data; Obtaining the distribution data of the adjusted curvature parameter and spacing parameter through the second design scheme data; According to the distribution data, statistical tools are used to analyze the stability of the cylindrical lens design scheme to obtain the optimized design parameter data; The compatibility between the cylindrical lens and the grating period is determined through the optimized design parameter data to obtain the final adaptation data.

[0015] Furthermore, the process of obtaining the cylindrical lens design solution also includes: If the verification result data indicates that the moiré fringes are greater than a preset threshold, the distance between the grating and the color filter is adjusted, the grating period and the horizontal grating pitch are recalculated, and the adjusted design parameters are obtained; Specifically, S100, adjusting the distance between the grating and the color filter, wherein the specific adjustment amount is quantitatively calculated according to the degree of excess of the moiré fringes; S200, recalculate the grating period and horizontal grating pitch according to the adjusted distance to obtain the adjusted design parameters. Introduce an error analysis model in the calculation process to evaluate the impact of the adjustment on the moiré fringes; S300, based on the adjusted design parameters, using a multi-dimensional parameter optimization algorithm, comprehensively considering factors such as viewing distance, viewing angle, pixel arrangement, etc., further optimize the grating period and horizontal grating pitch to reduce moiré fringes; S400, by simulating the distribution characteristics of the grating period and the horizontal grating pitch at the preset viewing distance of the display screen, it is determined again whether the moiré fringes are smaller than the preset threshold value, and new verification result data is obtained; If the moiré fringes are still greater than the preset threshold, the distance between the grating and the color filter is further adjusted according to the new verification result data, and the above steps S100 to S400 are repeated until the moiré fringes meet the requirements; It also includes establishing a dynamic adjustment mechanism to monitor the changing trend of the moiré fringes in real time, and dynamically adjust the distance between the grating and the color filter according to the real-time data to ensure that the moiré fringes are always within the controllable range; The distance adjusted each time, the calculated design parameters and the changing trend of the moiré fringes were recorded, and the rules in the adjustment process were analyzed using data analysis tools.

[0016] Furthermore, after the step of obtaining the verification result data, the method further includes: Based on the adjusted design parameters, sub-pixel arrangement, preset viewing distance and pixel length and width, a dynamic matching algorithm between the grating period and the microlens unit arrangement is established to obtain a matching parameter set; By optimizing the arrangement characteristics of the grating and the microlens unit through the matching parameter set, determining whether the image blur level is lower than a preset threshold, and obtaining the optimized arrangement data; The final cylindrical lens grating digital model is generated based on the optimized arrangement data, and the curvature, spacing and arrangement parameters are extracted from the digital model to determine the final design solution.

[0017] A naked eye 3D grating simulation system, comprising: The measurement module is used to obtain the angle data when the moiré fringes formed by the sub-pixel arrangement of the LED display screen and the grating are small through instrument measurement, and record the sub-pixel arrangement parameters and the change trend of the moiré fringes; A calculation module is used to calculate the grating period and horizontal grating pitch of the film grating according to the sub-pixel arrangement parameters, the preset viewing distance, the pixel length and width, and the initial distance between the grating and the color filter to obtain preliminary design parameters; Design module, which uses the calculated preliminary design parameters and combines them with the AI-assisted design algorithm to generate a high-precision digital model of the black-and-white film grating; An analysis module is used to intelligently extract and analyze the distribution characteristics of the grating period and horizontal pitch through the digital model using a machine learning algorithm, while introducing multi-dimensional parameter optimization to predict the performance of moiré fringes at different viewing distances and viewing angles; A verification module is used to determine whether the moiré fringes are smaller than a preset threshold value by simulating the distribution characteristics of the grating period and the horizontal grating pitch of the display screen at a preset viewing distance, and obtain verification result data; An adjustment module, for adjusting the distance between the grating and the color filter, recalculating the grating period and the horizontal grating pitch, and obtaining adjusted design parameters if the verification result data indicates that the moiré fringes are greater than a preset threshold value; A matching module is used to establish a dynamic matching algorithm between the grating period and the microlens unit arrangement based on the adjusted design parameters, sub-pixel arrangement, preset viewing distance and pixel length and width, and obtain a matching parameter set; An optimization module is used to optimize the arrangement characteristics of the grating and the microlens unit by matching the parameter set, determine whether the image blur level is lower than a preset threshold, and obtain optimized arrangement data; The generation module is used to generate the final cylindrical lens grating digital model according to the optimized arrangement data, extract the curvature, spacing and arrangement parameters from the digital model, and determine the final design scheme.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention obtains the angle data of the LED display screen sub-pixel arrangement and the grating when the moiré fringes are small through instrument measurement, and records the relevant parameters and change trends, providing an accurate data basis for subsequent design, avoiding the image quality problem caused by inaccurate estimation in the traditional method, thereby effectively solving the problem of inaccurate mold size estimation in the prior art; 2. The present invention calculates the grating period and horizontal grating pitch of the film grating according to the measured sub-pixel arrangement parameters, the preset viewing distance, the pixel length and width, and the initial distance between the grating and the color filter, and obtains preliminary design parameters. On this basis, combined with the artificial intelligence-assisted design algorithm, a high-precision digital model of the black-and-white film grating is generated, and the distribution characteristics of the grating period and the horizontal grating pitch are intelligently extracted and analyzed using a machine learning algorithm. At the same time, multi-dimensional parameter optimization is introduced to predict the performance of moiré fringes at different viewing distances and viewing angles, thereby improving the accuracy and efficiency of the design, reducing the dependence on high-precision physical manufacturing equipment, and effectively reducing the production cost; 3. The present invention simulates the distribution characteristics of the grating period and the horizontal grating pitch at the preset viewing distance of the display screen, determines whether the moiré fringes are smaller than the preset threshold, obtains the verification result data, adjusts the design parameters according to the verification result, and finally obtains the cylindrical lens design scheme. If the verification result shows that the moiré fringes are smaller than the preset threshold, the design is optimized; if it is greater than the preset threshold, the distance between the grating and the color filter is adjusted, and the design parameters are recalculated. This dynamic adjustment mechanism greatly shortens the development cycle, improves the flexibility and adaptability of the technology, and solves the problems of long development cycle and insufficient flexibility in the prior art. 4. The present invention also establishes a dynamic matching algorithm for the grating period and the arrangement of the microlens units, optimizes the arrangement characteristics of the grating and the microlens units, and further improves the image quality. Through this algorithm, the design parameters of the grating can be flexibly adjusted according to the needs of different application scenarios to ensure the stability and reliability of the technology under different conditions. Finally, a digital model of the cylindrical lens grating is generated according to the optimized arrangement data, and the final design scheme is determined, which improves the automation and efficiency of the design and provides strong support for the rapid iteration and development of naked-eye 3D technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of a method for simulating a naked-eye 3D grating in Example 1; Figure 2 This is a flow chart of a method for simulating a naked-eye 3D grating according to Example 2; Figure 3 This is a module framework diagram of a naked-eye 3D grating simulation system according to Example 3. DETAILED DESCRIPTION

[0020] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Example 1 like Figure 1 As shown, this embodiment provides a method for simulating a naked-eye 3D grating, comprising the following steps: The angle data when the moiré fringes formed by the sub-pixel arrangement of the LED display screen and the grating are small is obtained through instrument measurement, and the sub-pixel arrangement parameters and the change trend of the moiré fringes are recorded; According to the sub-pixel arrangement parameters, the preset viewing distance, the length and width of the pixel, and the initial distance between the grating and the color filter, the grating period and horizontal grating pitch of the film grating are calculated to obtain the preliminary design parameters; Using the calculated preliminary design parameters and combining them with the AI-assisted design algorithm, a high-precision digital model of the black-and-white film grating is generated; Through this digital model, the distribution characteristics of the grating period and horizontal pitch are intelligently extracted and analyzed using a machine learning algorithm. At the same time, multi-dimensional parameter optimization is introduced to predict the performance of moiré fringes at different viewing distances and viewing angles. By simulating the distribution characteristics of the grating period and the horizontal grating pitch of the display screen at a preset viewing distance, it is determined whether the moiré fringes are smaller than a preset threshold value, and the verification result data is obtained; The design parameters are adjusted according to the verification result data to obtain the cylindrical lens design scheme.

[0022] Furthermore, the process of recording the sub-pixel arrangement parameters and the moiré fringe variation trend includes: The instrument collects the angle data when the sub-pixel arrangement and the grating structure interact to form moiré fringes, and obtains the initial measurement value; Extracting the characteristic data of arrangement parameters and grating structure from the initial measurement values ​​to determine the conditions for fringe formation; If the stripe formation conditions meet the preset threshold, the relationship between the angle data and the arrangement parameters is analyzed by an algorithm to determine the direction of the change trend; The support vector machine algorithm is used to classify the direction of the changing trend and obtain the stable characteristics of the trend; By comparing the morphological data of the moiré fringes with the stable characteristics of the trend, the corresponding relationship between the fringes and the sub-pixel arrangement is determined; Process the measurement results according to the corresponding relationship to obtain mapping data between sub-pixel arrangement parameters and stripe change trends; Extract key features from the mapping data to determine the extent to which the display characteristics affect the moiré fringes.

[0023] In one embodiment, the process of recording the sub-pixel arrangement parameters and the moiré fringe variation trend may be as follows: Obtain the angle data when the moiré fringes formed by the sub-pixel arrangement of the LED display screen and the grating are small through instrument measurement. For example, use a high-precision angle measuring instrument to record the change trend of the moiré fringes when the sub-pixel arrangement parameters are 0.5°, 1.0°, and 1.5°; Extract the initial measurement value when the moiré fringes are formed according to the recorded angle data and sub-pixel arrangement parameters, for example, extract the characteristic data of the grating period of 50 μm at 0.5°; The interactive relationship between the sub-pixel arrangement parameters and the grating structure is analyzed through the characteristic data in the initial measurement value. For example, the Fourier transform algorithm is used to analyze the matching degree between the grating period and the sub-pixel spacing, and the condition for the formation of stripes is determined to be that the ratio of the grating period to the sub-pixel spacing is less than 0.8. If the stripe formation condition meets the preset threshold, the corresponding relationship between the angle data and the arrangement parameters is processed by the algorithm, for example, the relationship curve between the angle data and the sub-pixel spacing is fitted using the least squares method, and the change trend direction is determined to be positive growth. The support vector machine algorithm is used to classify the direction of the change trend. For example, the kernel function is set to the radial basis function, and the classification accuracy reaches 95%. The stable feature of the trend is the linear relationship between the angle data and the sub-pixel spacing; Comparing the morphological data of the moiré fringes according to the stable characteristics of the trend, for example, comparing the ratio of the fringes width to the sub-pixel spacing, and determining that the corresponding relationship between the fringes and the sub-pixel arrangement is that the fringes width is proportional to the sub-pixel spacing; Process the measurement results through the corresponding relationship, for example, use the interpolation algorithm to calculate the stripe width when the sub-pixel spacing is 10 μm, and obtain the mapping data of the sub-pixel arrangement parameters and the stripe change trend; Key features are extracted from the mapping data. For example, the maximum value of the fringe width change rate is 0.2, which indicates that the influence of the display characteristics on the moiré fringes is moderate.

[0024] Furthermore, the process of calculating the grating period and horizontal grating pitch of the film grating to obtain preliminary design parameters includes: Through the corresponding relationship between the sub-pixel arrangement and the pixel length and width, the initial distribution data of the grating structure is obtained, and the preliminary calculation result of the grating period is obtained; According to the interactive data of the preset viewing distance and the initial distance, the variation range of the grating period is adjusted to determine the boundary value of the horizontal grating pitch; The distribution law of horizontal grid pitch is analyzed by using grid pitch characteristics to obtain stable characteristic data of the distribution law; The stable feature data is classified by the support vector machine algorithm to determine the matching degree between the grating period and the grating pitch feature; If the matching degree exceeds a preset threshold, the optimization parameters of the grating structure are extracted from the classification results to obtain the adjusted design parameters; According to the corresponding relationship between the adjusted design parameters and the distribution law, the final calculated value of the grating period is obtained; By comparing the final calculated value with the initial distribution data, the adaptability of the grating structure to the sub-pixel arrangement is determined, and the optimized grating pitch distribution is obtained.

[0025] In one embodiment, the process of calculating the grating period and horizontal grating pitch of the film grating to obtain preliminary design parameters can be as follows: According to the sub-pixel arrangement parameters (such as RGB strip arrangement), the preset viewing distance of 600mm, the pixel length and width of 0.1mm×0.3mm, and the initial distance between the grating and the color filter of 0.5mm, the grating period of the film grating is calculated to be 0.15mm and the horizontal grating pitch is 0.05mm using the geometric optics formula, and the preliminary design parameters are obtained; Through the correspondence between the sub-pixel arrangement and the length and width of the pixel, the pixel spacing of 0.1mm is extracted as the initial distribution data of the grating structure, and the grating period is calculated to be 0.148mm in combination with the moiré fringe suppression condition. According to the interactive data of the preset viewing distance of 600mm and the initial distance of 0.5mm, the parallax formula is used to adjust the grating period variation range between 0.145-0.155mm, and the horizontal grating boundary value is determined to be 0.048-0.052mm; Fourier transform is used to analyze the distribution of horizontal grating pitch, and the spectrum peak of 0.05mm is extracted as stable feature data. The 0.05mm grating pitch feature data is classified by support vector machine algorithm, and the matching threshold is set to 90%. When the classification confidence reaches 92%, the match is determined. If the match is established, the tilt angle of 5° and the period fine-tuning coefficient of 1.02 are extracted from the classification results as optimization parameters, and the adjusted grating period is 0.151mm. According to the corresponding relationship between the optimization parameters and the distribution law, the least square method is used to fit the final grating period of 0.1502mm; The final calculated value of 0.1502mm is compared with the initial distribution data of 0.148mm, and the adaptability is judged by the difference of 0.0022mm, generating an optimized grating pitch distribution of 0.0501mm.

[0026] Furthermore, the process of generating a high-precision digital model of a black-and-white film grating includes: Through the corresponding relationship between the preliminary parameters and the combined parameters, the initial digital generation data of the black and white grating is obtained, and the preliminary distribution of the grating structure is obtained; According to the interactive data between the grating structure and the design algorithm, the auxiliary design is used to adjust the variation range of the digital generation and determine the boundary value of the high-precision model; By using algorithms to generate and analyze the distribution patterns of digital models, stable characteristic data of model accuracy can be obtained to determine the adaptability of structural parameters; If the model accuracy exceeds a preset threshold, the optimization parameters of the grating structure are extracted from the stable feature data to obtain an adjusted digital model; According to the correspondence between the adjusted digital model and the black and white grating, the final distribution data of the high-precision model is obtained, and the optimal value of the parameter combination is determined; By comparing the final distribution data with the initial digitally generated data, the matching degree of the grating structure to the auxiliary design is determined, and the accuracy of the optimized model is obtained; The optimized interactive data of model accuracy and structural parameters are used to generate a complete digital model of the black and white film grating to determine the final design result.

[0027] In one embodiment, the process of generating a high-precision digital model of a black-and-white film grating may be as follows: According to the correspondence between the preliminary design parameters and the sub-pixel arrangement, the initial distribution data of the grating structure is obtained, and the preliminary calculation result of the grating period (0.3 mm) is determined; An AI-assisted design algorithm (such as a deep learning model) is used to analyze the initial distribution data, adjust the range of the grating period (0.28 mm to 0.32 mm), and obtain the adjusted design parameters (0.31 mm); Through the interaction data between the adjusted design parameters and the initial distribution data, the distribution law of the horizontal grating pitch is analyzed to obtain the stable characteristic data of the distribution law (the standard deviation is 0.01 mm); Use the support vector machine algorithm to classify the stable feature data, determine the matching degree of the grating period and the grating pitch characteristics, and obtain the classification result (matching degree is 95%). If the matching degree exceeds the preset threshold (90%), extract the optimization parameters of the grating structure (grating period is 0.31 mm, horizontal grating pitch is 0.155 mm) from the classification result, and determine the optimized design parameters; According to the correspondence between the optimized design parameters and the distribution law, the final calculated value of the grating period (0.31 mm) is calculated to obtain the optimized grating pitch distribution (0.155 mm); By comparing the final calculated value with the initial distribution data, the adaptability of the grating structure to the sub-pixel arrangement is analyzed, and the distribution data of the high-precision digital model is obtained (the error is less than 0.001 mm); Using the distribution data of the high-precision digital model and combining it with artificial intelligence-assisted design algorithms (such as convolutional neural networks), a complete digital model of the black and white film grating is generated to determine the final design result (the grating period is 0.31 mm and the horizontal grating pitch is 0.155 mm.

[0028] Furthermore, the process of predicting the performance of moire fringes at different viewing distances and viewing angles includes: The initial distribution characteristic data of the grating period and horizontal grating pitch are obtained through the digital model to determine the range of feature extraction; Use machine learning algorithms to analyze the initial distribution feature data and obtain structural regularity data after feature extraction; According to the structural law data, combined with multi-dimensional parameter optimization, the distribution impact of changes in viewing distance and viewing angle is determined; By distributing the impact data, the preliminary performance data of the moiré fringes at different viewing distances are predicted; Using preliminary performance data, combined with the characteristics of viewing angle changes, we obtain the complete predicted distribution of moiré fringes; By comparing the complete predicted distribution with the initial distribution characteristic data, the adjustment value for parameter optimization is determined; The digital model is updated according to the adjustment value to obtain optimized distribution characteristic data.

[0029] In one embodiment, the process of predicting the performance of moire fringes at different viewing distances and viewing angles may be as follows: The initial distribution feature data of the grating period and the horizontal grating pitch are extracted through the digital model, and the feature extraction range is set to the grating period interval of 0.1mm to 0.5mm; The support vector machine algorithm is used to perform cluster analysis on the initial distribution data and extract the structural regularity data, for example, the grating period is divided into 5 categories and the mean and variance of each category are calculated; According to the structural law data combined with multi-dimensional parameter optimization, the weight coefficients of viewing distance and viewing angle are adjusted using the gradient descent method to determine whether the distribution influence factor exceeds 0.8; The distribution impact data is input into the convolutional neural network model to predict the preliminary performance data of the moiré fringes at a viewing distance of 1m to 3m, and the distribution characteristics of the fringe spacing and contrast are output; Using preliminary performance data combined with the characteristics of viewing angle changes, the random forest algorithm is used to analyze the deformation trend of moiré fringes under different viewing angles to generate a complete prediction distribution map; By comparing the complete predicted distribution with the initial distribution characteristic data, the mean square error is calculated and the parameter adjustment value is determined to be ±0.05mm; The grating period parameters in the digital model are updated according to the adjustment values ​​to obtain optimized distribution characteristic data, for example, the horizontal grating pitch is corrected to 0.25 mm.

[0030] Furthermore, the process of obtaining the verification result data includes: The distribution characteristic data of the grating period and the horizontal grating pitch are generated by simulating the display screen to obtain the initial distribution data; According to the initial distribution data, support vector machine algorithm is used to analyze the distribution characteristics and obtain the structural data after feature extraction; By combining the structural data with the preset viewing distance, the change trend of the moiré fringes is determined to obtain the change trend data; If the change trend data exceeds a preset threshold, new distribution feature data is generated by adjusting the grating period to obtain adjusted distribution data; According to the adjusted distribution data, a clustering algorithm is used to analyze the matching degree between the moiré fringes and the preset threshold value to obtain matching result data; By combining the matching result data with the display screen parameters, determine whether the verification result meets the conditions and obtain the final verification data; According to the final verification data, statistical tools are used to analyze the stability of the feature distribution and obtain the optimized distribution data.

[0031] In one embodiment, the process of obtaining the verification result data may be as follows: By simulating the display screen at a preset viewing distance of 1.5 meters, the initial distribution data of the grating period of 50 microns and the horizontal grating pitch of 30 microns are collected, and the radial basis kernel function in the support vector machine algorithm is used to train the distribution features to extract the spatial frequency characteristics of the grating structure; Combined with the preset viewing distance of 1.5 meters and the periodic change law of the moiré fringes, the contrast change trend of the moiré fringes is calculated. If the contrast exceeds the threshold of 0.3, the gradient descent method is used to adjust the grating period to 48 microns to generate new distribution data; Use the K-means clustering algorithm to classify the adjusted data and analyze the matching degree between the moiré fringes and the preset threshold. If the matching degree is less than 90%, the distribution characteristics are re-optimized in combination with the sub-pixel arrangement parameters of the display screen. Based on the optimized data, variance analysis was used to evaluate the stability of the feature distribution. If the standard deviation was less than 0.05, the distribution was considered stable; The optimized distribution data and the initial data are differentially calculated to determine that the grating period needs to be adjusted to 47.5 microns and the horizontal grating pitch needs to be adjusted to 28.5 microns; The grating parameters in the digital model are updated according to the adjustment values, and the optimized grating period and horizontal grating pitch distribution characteristic data are output.

[0032] Furthermore, the process of obtaining the cylindrical lens design includes: If the verification result data indicates that the moiré fringes are smaller than a preset threshold, the curvature parameters and spacing parameters of the cylindrical lens are calculated according to the distribution characteristics of the grating period and the horizontal grating pitch to obtain the first design solution data; Acquire the relative position data between the cylindrical lens and the color filter by combining the first design scheme data with the initial position of the color filter; According to the relative position data, a clustering algorithm is used to analyze the matching degree between the cylindrical lens and the grating period to obtain first matching result data; If the first matching result data exceeds the preset range, the distance between the color filter and the grating is adjusted, and the distribution characteristics are recalculated to obtain the second design solution data; Obtaining the distribution data of the adjusted curvature parameter and spacing parameter through the second design scheme data; According to the distribution data, statistical tools are used to analyze the stability of the cylindrical lens design scheme to obtain the optimized design parameter data; The compatibility between the cylindrical lens and the grating period is determined through the optimized design parameter data to obtain the final adaptation data.

[0033] In one embodiment, if the verification result data indicates that the moiré fringes are smaller than a preset threshold value of 0.05, then according to the distribution characteristics of the grating period of 500nm and the horizontal grating pitch of 200nm, the curvature radius of the cylindrical lens grating is calculated to be 1.2mm and the spacing parameter is 0.8mm using a geometric optical formula to obtain cylindrical lens design solution data; if the verification result data indicates that the moiré fringes are larger than the preset threshold value of 0.05, then the distance between the grating and the color filter is adjusted from 1.5mm to 2.0mm, and the grating period is recalculated to be 550nm and the horizontal grating pitch is 220nm to obtain the adjusted design parameter data; The distribution characteristics of the grating period and the horizontal grating pitch are calculated by using the Fourier transform algorithm through the adjusted design parameter data to obtain the first distribution characteristic data. According to the first distribution characteristic data, the curvature parameter of the cylindrical lens is designed to be 1.3 mm and the spacing parameter is designed to be 0.85 mm to obtain the first design scheme data; The first design scheme data is combined with the initial position of the color filter being 2.0 mm, and the relative position data between the cylindrical lens and the color filter is calculated using a spatial geometry algorithm to obtain the first relative position data of 0.5 mm; According to the first relative position data, the K-means clustering algorithm is used to analyze the matching degree between the cylindrical lens and the grating period, and the first matching result data is obtained to be 0.92. If the first matching result data exceeds the preset range of 0.90, the distance between the color filter and the grating is adjusted from 2.0 mm to 2.2 mm, and the distribution characteristics are recalculated to obtain the second design scheme data; The second design scheme data is used to obtain the distribution data of the adjusted curvature parameter of 1.35 mm and the spacing parameter of 0.88 mm using a statistical analysis tool to obtain distribution statistical data; According to the distribution statistics, the variance analysis algorithm is used to analyze the stability of the cylindrical lens design scheme and obtain the optimized design parameter data.

[0034] Furthermore, the process of obtaining the cylindrical lens design solution also includes: If the verification result data indicates that the moiré fringes are greater than a preset threshold, the distance between the grating and the color filter is adjusted, the grating period and the horizontal grating pitch are recalculated, and the adjusted design parameters are obtained; Specifically, S100, adjusting the distance between the grating and the color filter, wherein the specific adjustment amount is quantitatively calculated according to the degree of excess of the moiré fringes; S200, recalculate the grating period and horizontal grating pitch according to the adjusted distance to obtain the adjusted design parameters. Introduce an error analysis model in the calculation process to evaluate the impact of the adjustment on the moiré fringes; S300, based on the adjusted design parameters, using a multi-dimensional parameter optimization algorithm, comprehensively considering factors such as viewing distance, viewing angle, pixel arrangement, etc., further optimize the grating period and horizontal grating pitch to reduce moiré fringes; S400, by simulating the distribution characteristics of the grating period and the horizontal grating pitch at the preset viewing distance of the display screen, it is determined again whether the moiré fringes are smaller than the preset threshold value, and new verification result data is obtained; If the moiré fringes are still greater than the preset threshold, the distance between the grating and the color filter is further adjusted according to the new verification result data, and the above steps S100 to S400 are repeated until the moiré fringes meet the requirements; It also includes establishing a dynamic adjustment mechanism to monitor the changing trend of the moiré fringes in real time, and dynamically adjust the distance between the grating and the color filter according to the real-time data to ensure that the moiré fringes are always within the controllable range; The distance adjusted each time, the calculated design parameters and the changing trend of the moiré fringes were recorded, and the rules in the adjustment process were analyzed using data analysis tools.

[0035] In one embodiment, the process of obtaining the cylindrical lens design solution can be described as follows: Assume that the verification result data shows that the moiré fringes are greater than the preset threshold, and the specific degree of exceeding the threshold is 20%. At this time, the distance between the grating and the color filter needs to be adjusted. The specific steps are as follows: S100: According to the degree of excess of the moiré fringes, quantitative calculation is performed to adjust the distance between the grating and the color filter. For example, the initial distance is 0.5 mm, and after calculation according to the degree of excess, it is decided to adjust the distance to 0.52 mm.

[0036] S200: Recalculate the grating period and horizontal pitch based on the adjusted distance of 0.52mm. Assuming that the initial grating period is 0.2mm and the horizontal pitch is 0.1mm, after recalculation, the adjusted grating period is 0.21mm and the horizontal pitch is 0.105mm. In this process, an error analysis model is introduced to evaluate the impact of the adjustment on the moiré fringes, and it is predicted that the intensity of the adjusted moiré fringes will be reduced by 15%.

[0037] S300: Based on the adjusted design parameters, the multi-dimensional parameter optimization algorithm is used to further optimize the grating period and horizontal grating pitch by comprehensively considering factors such as viewing distance (assuming the preset viewing distance is 500mm), viewing angle (assuming 30°), and pixel arrangement (assuming RGB Delta arrangement). After optimization, the grating period is 0.208mm and the horizontal grating pitch is 0.104mm. At this time, the predicted moiré fringe intensity is further reduced to below the preset threshold.

[0038] S400: By simulating the distribution characteristics of the grating period of 0.208mm and the horizontal grating pitch of 0.104mm under the preset viewing distance of 500mm, it is judged again whether the moiré fringe is less than the preset threshold. After simulation verification, the moiré fringe intensity is 0.03 (assuming the preset threshold is 0.05), which meets the requirements and obtains new verification result data.

[0039] If the moiré fringes are still greater than the preset threshold after a certain adjustment, the distance between the grating and the color filter is further adjusted according to the new verification result data, and the above steps S100~S400 are repeated until the moiré fringes meet the requirements. For example, if the moiré fringes intensity is still 0.06 after a certain adjustment, exceeding the preset threshold of 0.05, the distance is adjusted to 0.53mm again, the grating period and the horizontal grating pitch are recalculated, and the optimization is continued until the moiré fringes intensity drops to 0.04, which meets the requirements.

[0040] During the entire adjustment process, a dynamic adjustment mechanism is established to monitor the changing trend of the moiré fringes in real time. For example, the moiré fringes intensity data is collected in real time through sensors, and the distance between the grating and the color filter is dynamically adjusted according to the real-time data. At the same time, the distance adjusted each time (such as 0.5mm, 0.52mm, 0.53mm, etc.), the calculated design parameters (such as grating period 0.2mm, 0.21mm, 0.208mm, etc., horizontal grating pitch 0.1mm, 0.105mm, 0.104mm, etc.) and the changing trend of the moiré fringes (such as from 0.08 to 0.06, and then to 0.04, etc.) are recorded, and the rules in the adjustment process are analyzed using data analysis tools (such as regression analysis) to provide reference for subsequent optimization and ensure that the moiré fringes are always within the controllable range.

[0041] Finally, based on the required design parameters such as the grating period of 0.208mm and the horizontal grating pitch of 0.104mm, combined with information such as the initial position of the color filter, the curvature parameters and spacing parameters of the cylindrical lens are calculated to obtain the cylindrical lens design scheme. For example, the calculated curvature radius of the cylindrical lens is 100mm and the spacing is 0.2mm, thus determining the complete cylindrical lens design scheme and providing precise guidance for subsequent manufacturing.

[0042] Example 2 like Figure 2As shown, this embodiment provides a method for simulating a naked-eye 3D grating, comprising the following steps: The angle data when the moiré fringes formed by the sub-pixel arrangement of the LED display screen and the grating are small is obtained through instrument measurement, and the sub-pixel arrangement parameters and the change trend of the moiré fringes are recorded; According to the sub-pixel arrangement parameters, the preset viewing distance, the length and width of the pixel, and the initial distance between the grating and the color filter, the grating period and horizontal grating pitch of the film grating are calculated to obtain the preliminary design parameters; Using the calculated preliminary design parameters and combining them with the AI-assisted design algorithm, a high-precision digital model of the black-and-white film grating is generated; Through this digital model, the distribution characteristics of the grating period and horizontal pitch are intelligently extracted and analyzed using a machine learning algorithm. At the same time, multi-dimensional parameter optimization is introduced to predict the performance of moiré fringes at different viewing distances and viewing angles. By simulating the distribution characteristics of the grating period and the horizontal grating pitch of the display screen at a preset viewing distance, it is determined whether the moiré fringes are smaller than a preset threshold value, and the verification result data is obtained; Based on the adjusted design parameters, sub-pixel arrangement, preset viewing distance and pixel length and width, a dynamic matching algorithm between the grating period and the microlens unit arrangement is established to obtain a matching parameter set; By optimizing the arrangement characteristics of the grating and the microlens unit through the matching parameter set, determining whether the image blur level is lower than a preset threshold, and obtaining the optimized arrangement data; The final cylindrical lens grating digital model is generated based on the optimized arrangement data, and the curvature, spacing and arrangement parameters are extracted from the digital model to determine the final design solution.

[0043] Furthermore, the process of recording the sub-pixel arrangement parameters and the moiré fringe variation trend includes: The instrument collects the angle data when the sub-pixel arrangement and the grating structure interact to form moiré fringes, and obtains the initial measurement value; Extracting the characteristic data of arrangement parameters and grating structure from the initial measurement values ​​to determine the conditions for fringe formation; If the stripe formation conditions meet the preset threshold, the relationship between the angle data and the arrangement parameters is analyzed by an algorithm to determine the direction of the change trend; The support vector machine algorithm is used to classify the direction of the changing trend and obtain the stable characteristics of the trend; By comparing the morphological data of the moiré fringes with the stable characteristics of the trend, the corresponding relationship between the fringes and the sub-pixel arrangement is determined; Process the measurement results according to the corresponding relationship to obtain mapping data between sub-pixel arrangement parameters and stripe change trends; Extract key features from the mapping data to determine the extent to which the display characteristics affect the moiré fringes.

[0044] Furthermore, the process of calculating the grating period and horizontal grating pitch of the film grating to obtain preliminary design parameters includes: Through the corresponding relationship between the sub-pixel arrangement and the pixel length and width, the initial distribution data of the grating structure is obtained, and the preliminary calculation result of the grating period is obtained; According to the interactive data of the preset viewing distance and the initial distance, the variation range of the grating period is adjusted to determine the boundary value of the horizontal grating pitch; The distribution law of horizontal grid pitch is analyzed by using grid pitch characteristics to obtain stable characteristic data of the distribution law; The stable feature data is classified by the support vector machine algorithm to determine the matching degree between the grating period and the grating pitch feature; If the matching degree exceeds a preset threshold, the optimization parameters of the grating structure are extracted from the classification results to obtain the adjusted design parameters; According to the corresponding relationship between the adjusted design parameters and the distribution law, the final calculated value of the grating period is obtained; By comparing the final calculated value with the initial distribution data, the adaptability of the grating structure to the sub-pixel arrangement is determined, and the optimized grating pitch distribution is obtained.

[0045] Furthermore, the process of generating a high-precision digital model of a black-and-white film grating includes: Through the corresponding relationship between the preliminary parameters and the combined parameters, the initial digital generation data of the black and white grating is obtained, and the preliminary distribution of the grating structure is obtained; According to the interactive data between the grating structure and the design algorithm, the auxiliary design is used to adjust the variation range of the digital generation and determine the boundary value of the high-precision model; By using algorithms to generate and analyze the distribution patterns of digital models, stable characteristic data of model accuracy can be obtained to determine the adaptability of structural parameters; If the model accuracy exceeds a preset threshold, the optimization parameters of the grating structure are extracted from the stable feature data to obtain an adjusted digital model; According to the correspondence between the adjusted digital model and the black and white grating, the final distribution data of the high-precision model is obtained, and the optimal value of the parameter combination is determined; By comparing the final distribution data with the initial digitally generated data, the matching degree of the grating structure to the auxiliary design is determined, and the accuracy of the optimized model is obtained; The optimized interactive data of model accuracy and structural parameters are used to generate a complete digital model of the black and white film grating to determine the final design result.

[0046] Furthermore, the process of predicting the performance of moire fringes at different viewing distances and viewing angles includes: The initial distribution characteristic data of the grating period and horizontal grating pitch are obtained through the digital model to determine the range of feature extraction; Use machine learning algorithms to analyze the initial distribution feature data and obtain structural regularity data after feature extraction; According to the structural law data, combined with multi-dimensional parameter optimization, the distribution impact of changes in viewing distance and viewing angle is determined; By distributing the impact data, the preliminary performance data of the moiré fringes at different viewing distances are predicted; Using preliminary performance data, combined with the characteristics of viewing angle changes, we obtain the complete predicted distribution of moiré fringes; By comparing the complete predicted distribution with the initial distribution characteristic data, the adjustment value of parameter optimization is determined; The digital model is updated according to the adjustment value to obtain optimized distribution characteristic data.

[0047] Furthermore, the process of obtaining the verification result data includes: Generate distribution characteristic data of grating period and horizontal grating pitch by simulating the display screen to obtain initial distribution data; According to the initial distribution data, support vector machine algorithm is used to analyze the distribution characteristics and obtain the structural data after feature extraction; By combining the structural data with the preset viewing distance, the change trend of the moiré fringes is determined to obtain the change trend data; If the change trend data exceeds a preset threshold, new distribution feature data is generated by adjusting the grating period to obtain adjusted distribution data; According to the adjusted distribution data, a clustering algorithm is used to analyze the matching degree between the moiré fringes and the preset threshold value to obtain matching result data; By combining the matching result data with the display screen parameters, determine whether the verification result meets the conditions and obtain the final verification data; According to the final verification data, statistical tools are used to analyze the stability of the feature distribution and obtain the optimized distribution data.

[0048] Furthermore, the process of obtaining the cylindrical lens design includes: If the verification result data indicates that the moiré fringes are smaller than a preset threshold, the curvature parameters and spacing parameters of the cylindrical lens are calculated according to the distribution characteristics of the grating period and the horizontal grating pitch to obtain the first design solution data; Acquire the relative position data between the cylindrical lens and the color filter by combining the first design scheme data with the initial position of the color filter; According to the relative position data, a clustering algorithm is used to analyze the matching degree between the cylindrical lens and the grating period to obtain first matching result data; If the first matching result data exceeds the preset range, the distance between the color filter and the grating is adjusted, and the distribution characteristics are recalculated to obtain the second design solution data; Obtaining the distribution data of the adjusted curvature parameter and spacing parameter through the second design scheme data; According to the distribution data, statistical tools are used to analyze the stability of the cylindrical lens design scheme to obtain the optimized design parameter data; The compatibility between the cylindrical lens and the grating period is determined through the optimized design parameter data to obtain the final adaptation data.

[0049] Furthermore, the process of obtaining the cylindrical lens design solution also includes: If the verification result data indicates that the moiré fringes are greater than a preset threshold, the distance between the grating and the color filter is adjusted, the grating period and the horizontal grating pitch are recalculated, and the adjusted design parameters are obtained; Specifically, S100, adjusting the distance between the grating and the color filter, wherein the specific adjustment amount is quantitatively calculated according to the degree of excess of the moiré fringes; S200, recalculate the grating period and horizontal grating pitch according to the adjusted distance to obtain the adjusted design parameters. Introduce an error analysis model in the calculation process to evaluate the impact of the adjustment on the moiré fringes; S300, based on the adjusted design parameters, using a multi-dimensional parameter optimization algorithm, comprehensively considering factors such as viewing distance, viewing angle, pixel arrangement, etc., further optimize the grating period and horizontal grating pitch to reduce moiré fringes; S400, by simulating the distribution characteristics of the grating period and the horizontal grating pitch at the preset viewing distance of the display screen, it is determined again whether the moiré fringes are smaller than the preset threshold value, and new verification result data is obtained; If the moiré fringes are still greater than the preset threshold, the distance between the grating and the color filter is further adjusted according to the new verification result data, and the above steps S100 to S400 are repeated until the moiré fringes meet the requirements; It also includes establishing a dynamic adjustment mechanism to monitor the changing trend of the moiré fringes in real time, and dynamically adjust the distance between the grating and the color filter according to the real-time data to ensure that the moiré fringes are always within the controllable range; The distance adjusted each time, the calculated design parameters and the changing trend of the moiré fringes were recorded, and the rules in the adjustment process were analyzed using data analysis tools.

[0050] Furthermore, the process of obtaining the matching parameter set includes: According to the correlation between the design parameters and the grating period, the distribution data of the sub-pixel arrangement and the micro-lens unit are obtained; Through the distribution data, the dynamic matching algorithm is used to calculate the preliminary matching parameters between the grating period and the microlens unit; By initially matching parameters, combined with the preset viewing distance and pixel length and width, the adjustment data of the arrangement features is obtained; According to the adjustment data, the degree of adaptation between the grating period and the microlens unit is determined to obtain an adaptability parameter. If the adaptability parameter exceeds a preset threshold, the arrangement of the microlens unit is adjusted according to the characteristic data to obtain an updated matching parameter. Obtaining distribution characteristic data of the grating period and the microlens unit through the updated matching parameters; According to the distribution characteristic data, statistical tools are used to analyze the stability of matching parameters and obtain the optimized parameter set; The dynamic matching degree between the sub-pixel arrangement and the grating period is determined by the optimized parameter set to obtain the final matching data; For the final matching data, clustering algorithm is used to analyze the correlation between design parameters and arrangement characteristics to obtain the verification parameter set; By verifying the parameter set, the final adaptation scheme of the grating period and the microlens unit is determined, and a complete matching parameter set is obtained.

[0051] In one embodiment, the process of obtaining the matching parameter set may be as follows: According to the adjusted design parameters, such as the sub-pixel arrangement as RGB stripe, the preset viewing distance of 600 mm, and the pixel length and width of 0.1 mm × 0.3 mm, the initial distribution data of the grating period and the microlens unit arrangement are obtained, and the preliminary feature set is obtained, including the grating period of 0.15 mm and the microlens unit spacing of 0.05 mm; Through the preliminary feature set, a dynamic matching algorithm, such as the least square method, is used to calculate the correlation parameters between the grating period and the microlens unit, and the preliminary matching parameters are obtained, including a matching error of 0.02 mm; According to the preliminary matching parameters, combined with the interaction data of the preset viewing distance and the length and width of the pixel, the adjustment data of the arrangement characteristics is obtained to obtain the adaptability parameters. For example, if the adaptability score is 85, if the adaptability parameter exceeds the preset threshold of 90, the arrangement of the microlens unit is updated by adjusting the data, such as adjusting the spacing of the microlens units to 0.048 mm, to obtain the updated matching parameters; The distribution characteristic data of the grating period and the microlens unit are obtained through the updated matching parameters, and the characteristic stability data is obtained, such as the standard deviation of 0.01 mm; Based on the characteristic stability data, statistical tools such as variance analysis are used to analyze the distribution of matching parameters and obtain the optimized parameter set, including a grating period of 0.148 mm and a microlens unit spacing of 0.048 mm; Through the optimized parameter set, the dynamic matching degree between the sub-pixel arrangement and the grating period is determined to obtain the final matching data, such as a matching error of 0.01 mm; Based on the final matching data, clustering algorithms, such as K-means clustering, are used to analyze the correlation between design parameters and arrangement characteristics, and a set of verification parameters is obtained, including a cluster center of 0.148 mm; By verifying the parameter set, the final adaptation scheme of the grating period and the microlens unit was determined, and a complete matching parameter set was obtained, including a grating period of 0.148 mm and a microlens unit spacing of 0.048 mm.

[0052] Furthermore, the process of obtaining the optimized arrangement data includes: The distribution data of the grating period and the microlens unit are obtained by matching the parameter set to obtain the preliminary arrangement characteristics; Adjusting the distribution data of the microlens unit according to the preliminary arrangement characteristics to obtain adjusted characteristic data; Determine whether the image blur is lower than a preset threshold value through the adjusted feature data to obtain a blur determination result. If the blur determination result is lower than the preset threshold value, update the matching parameters through the distribution data to obtain an updated parameter set. Acquire characteristic data of grating period and unit adaptation through updated parameter set to obtain adaptability parameters; According to the adaptability parameters, statistical tools are used to analyze the stability of the arrangement characteristics to obtain the optimized arrangement data; The matching degree between the microlens unit and the grating period is determined by the optimized arrangement data to obtain the final distribution characteristics.

[0053] In one embodiment, the process of obtaining the optimized arrangement data may be as follows: The distribution data of the grating period of 500nm and the microlens unit are obtained by matching the parameter set, and the spatial frequency is analyzed by Fourier transform algorithm to obtain the preliminary arrangement characteristics; According to the preliminary arrangement characteristics, the distribution data of the microlens unit is adjusted, and the unit spacing is optimized to 10 μm using the least square method to obtain the adjusted characteristic data; The PSF (point spread function) model is used to calculate the image blur degree through the adjusted feature data to determine whether it is lower than the preset threshold of 0.05, and the blur judgment result is obtained. If the blur judgment result is lower than the preset threshold, the matching parameters are updated through the distribution data, and the parameter set is optimized by the gradient descent method to obtain the updated parameter set; The updated parameter set is used to obtain the characteristic data of the adaptation between the grating period and the microlens unit, and the adaptability is analyzed using the correlation coefficient, and the adaptability parameter is 0.92; According to the adaptability parameters, the stability of the arrangement characteristics is analyzed by Monte Carlo simulation to obtain the optimized arrangement data; The distribution characteristics of sub-pixel arrangement and micro-lens unit are obtained through optimized arrangement data, and preliminary matching parameters are calculated using dynamic matching algorithm; According to the preliminary matching parameters, combined with the preset viewing distance of 50cm and the pixel length and width of 1.2μm, the distribution characteristics are adjusted to obtain the updated matching data; Through the updated matching data, the K-means clustering algorithm is used to analyze the correlation between the design parameters and the arrangement characteristics to obtain the verification parameter set.

[0054] Furthermore, the process of determining the final design solution includes: Generate a digital model of the cylindrical lens grating through the optimized arrangement data to obtain complete model structure data. Extract curvature parameters, spacing parameters and arrangement parameters from the model structure data to obtain a set of key feature parameters; Calculate the distribution characteristics of the key feature parameter set using statistical analysis tools to obtain distribution feature data. Determine the matching degree between the cylindrical lens and the grating structure through the distribution feature data to obtain a matching evaluation result. If the matching evaluation result is lower than a preset threshold, update the arrangement data through the key feature parameter set to obtain adjusted arrangement data. Regenerate the digital model through the adjusted arrangement data to obtain optimized model structure data; The final design scheme is determined based on the optimized model structure data to obtain the final distribution parameters.

[0055] In one embodiment, the process of determining the final design solution may be as follows: The digital model of the cylindrical lens grating is generated by using the ray tracing algorithm through the optimized arrangement data. The model structure data includes parameters such as the lens curvature radius of 0.5mm and the spacing of 0.2mm. Extract the curvature parameter range of 0.45-0.55mm, the spacing parameter of 0.18-0.22mm and the periodic arrangement parameter from the model structure data to form a key feature parameter set; Monte Carlo simulation was used to statistically analyze the key characteristic parameter set, and distribution characteristic data such as the curvature standard deviation of 0.02 mm and the spacing variation coefficient of 5% were calculated; By comparing the distribution feature data with the preset grating period of 0.21mm, the matching evaluation value of 0.85 is calculated. If the matching evaluation value is lower than the threshold of 0.9, the key feature parameters are adjusted using the parameter optimization algorithm to generate new arrangement data with a spacing of 0.19mm and a curvature of 0.52mm. Based on the adjusted arrangement data, the digital model is rebuilt using finite element analysis to obtain the optimized lens array structure; The updated curvature parameter of 0.51 ± 0.01 mm and the spacing parameter of 0.195 ± 0.005 mm were extracted from the optimization model to form a normally distributed parameter set; The K-means clustering algorithm is used to analyze the matching degree between the parameter set and the grating period of 0.21mm, and the adaptation data with a cluster center distance of 0.208mm is obtained; According to the results of the adaptation data analysis, the final design parameters are determined to be a curvature of 0.51 mm and a spacing of 0.20 mm, and the distribution parameters that meet the grating matching requirements are output.

[0056] Example 3 like Figure 3 As shown, this embodiment provides a naked eye 3D grating simulation system, including: The measurement module is used to obtain the angle data when the moiré fringes formed by the sub-pixel arrangement of the LED display screen and the grating are small through instrument measurement, and record the sub-pixel arrangement parameters and the change trend of the moiré fringes; A calculation module is used to calculate the grating period and horizontal grating pitch of the film grating according to the sub-pixel arrangement parameters, the preset viewing distance, the pixel length and width, and the initial distance between the grating and the color filter to obtain preliminary design parameters; Design module, which uses the calculated preliminary design parameters and combines them with the AI-assisted design algorithm to generate a high-precision digital model of the black-and-white film grating; An analysis module is used to intelligently extract and analyze the distribution characteristics of the grating period and horizontal pitch through the digital model using a machine learning algorithm, while introducing multi-dimensional parameter optimization to predict the performance of moiré fringes at different viewing distances and viewing angles; A verification module is used to determine whether the moiré fringes are smaller than a preset threshold value by simulating the distribution characteristics of the grating period and the horizontal grating pitch of the display screen at a preset viewing distance, and obtain verification result data; An adjustment module, for adjusting the distance between the grating and the color filter, recalculating the grating period and the horizontal grating pitch, and obtaining adjusted design parameters if the verification result data indicates that the moiré fringes are greater than a preset threshold value; A matching module is used to establish a dynamic matching algorithm between the grating period and the microlens unit arrangement based on the adjusted design parameters, sub-pixel arrangement, preset viewing distance and pixel length and width, and obtain a matching parameter set; An optimization module is used to optimize the arrangement characteristics of the grating and the microlens unit by matching the parameter set, determine whether the image blur level is lower than a preset threshold, and obtain optimized arrangement data; The generation module is used to generate the final cylindrical lens grating digital model according to the optimized arrangement data, extract the curvature, spacing and arrangement parameters from the digital model, and determine the final design scheme.

[0057] The specific embodiments of the invention are described in detail above, but they are only examples. The present invention is not limited to the specific embodiments described above. Those skilled in the art should understand that the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for simulating naked-eye 3D grating, characterized in that: The following steps are involved: The angle data when the moiré fringes formed by the sub-pixel arrangement of the LED display screen and the grating are small is obtained through instrument measurement, and the sub-pixel arrangement parameters and the change trend of the moiré fringes are recorded; According to the sub-pixel arrangement parameters, the preset viewing distance, the length and width of the pixel, and the initial distance between the grating and the color filter, the grating period and horizontal grating pitch of the film grating are calculated to obtain the preliminary design parameters; Using the calculated preliminary design parameters and combining them with the AI-assisted design algorithm, a high-precision digital model of the black-and-white film grating is generated; Through this digital model, the distribution characteristics of the grating period and horizontal grating pitch are intelligently extracted and analyzed, and multi-dimensional parameter optimization is introduced to predict the performance of moiré fringes at different viewing distances and viewing angles. By simulating the distribution characteristics of the grating period and the horizontal grating pitch of the display screen at a preset viewing distance, it is determined whether the moiré fringes are smaller than a preset threshold value, and the verification result data is obtained; The design parameters are adjusted according to the verification result data to obtain the cylindrical lens design scheme.

2. The method for simulating naked-eye 3D grating according to claim 1, characterized in that: The process of recording the sub-pixel arrangement parameters and the moiré fringe variation trend comprises: The instrument collects the angle data when the sub-pixel arrangement and the grating structure interact to form moiré fringes, and obtains the initial measurement value; Extracting the characteristic data of arrangement parameters and grating structure from the initial measurement values ​​to determine the conditions for fringe formation; If the stripe formation conditions meet the preset threshold, the relationship between the angle data and the arrangement parameters is analyzed by an algorithm to determine the direction of the change trend; The support vector machine algorithm is used to classify the direction of the changing trend and obtain the stable characteristics of the trend; By comparing the morphological data of the moiré fringes with the stable characteristics of the trend, the corresponding relationship between the fringes and the sub-pixel arrangement is determined; Process the measurement results according to the corresponding relationship to obtain mapping data between sub-pixel arrangement parameters and stripe change trends; Extract key features from the mapping data to determine the extent to which the display characteristics affect the moiré fringes.

3. The method for simulating naked-eye 3D grating according to claim 1, characterized in that: The process of calculating the grating period and horizontal grating pitch of the film grating to obtain preliminary design parameters includes: Through the corresponding relationship between the sub-pixel arrangement and the pixel length and width, the initial distribution data of the grating structure is obtained, and the preliminary calculation result of the grating period is obtained; According to the interactive data of the preset viewing distance and the initial distance, the variation range of the grating period is adjusted to determine the boundary value of the horizontal grating pitch; The distribution law of horizontal grid pitch is analyzed by using grid pitch characteristics to obtain stable characteristic data of the distribution law; The stable feature data is classified by the support vector machine algorithm to determine the matching degree between the grating period and the grating pitch feature; If the matching degree exceeds a preset threshold, the optimization parameters of the grating structure are extracted from the classification results to obtain the adjusted design parameters; According to the corresponding relationship between the adjusted design parameters and the distribution law, the final calculated value of the grating period is obtained; By comparing the final calculated value with the initial distribution data, the adaptability of the grating structure to the sub-pixel arrangement is determined, and the optimized grating pitch distribution is obtained.

4. The method for simulating naked-eye 3D grating according to claim 1, characterized in that: The process of generating a high-precision digital model of a black-and-white film grating comprises: Through the corresponding relationship between the preliminary parameters and the combined parameters, the initial digital generation data of the black and white grating is obtained, and the preliminary distribution of the grating structure is obtained; According to the interactive data between the grating structure and the design algorithm, the auxiliary design is used to adjust the variation range of the digital generation and determine the boundary value of the high-precision model; By using algorithms to generate and analyze the distribution patterns of digital models, stable characteristic data of model accuracy can be obtained to determine the adaptability of structural parameters; If the model accuracy exceeds a preset threshold, the optimization parameters of the grating structure are extracted from the stable feature data to obtain an adjusted digital model; According to the correspondence between the adjusted digital model and the black and white grating, the final distribution data of the high-precision model is obtained, and the optimal value of the parameter combination is determined; By comparing the final distribution data with the initial digitally generated data, the matching degree of the grating structure to the auxiliary design is determined, and the accuracy of the optimized model is obtained; The optimized interactive data of model accuracy and structural parameters are used to generate a complete digital model of the black and white film grating to determine the final design result.

5. The method for simulating naked-eye 3D grating according to claim 1, characterized in that: The process of predicting the performance of moire fringes at different viewing distances and viewing angles includes: The initial distribution characteristic data of the grating period and horizontal grating pitch are obtained through the digital model to determine the range of feature extraction; Use machine learning algorithms to analyze the initial distribution feature data and obtain the structural regularity data after feature extraction; According to the structural law data, combined with multi-dimensional parameter optimization, the distribution impact of changes in viewing distance and viewing angle is determined; By distributing the impact data, the preliminary performance data of the moiré fringes at different viewing distances are predicted; Using preliminary performance data, combined with the characteristics of viewing angle changes, we obtain the complete predicted distribution of moiré fringes; By comparing the complete predicted distribution with the initial distribution characteristic data, the adjustment value for parameter optimization is determined; The digital model is updated according to the adjustment value to obtain optimized distribution characteristic data.

6. The method for simulating naked-eye 3D grating according to claim 1, characterized in that: The process of obtaining verification result data includes: The distribution characteristic data of the grating period and the horizontal grating pitch are generated by simulating the display screen to obtain the initial distribution data; According to the initial distribution data, support vector machine algorithm is used to analyze the distribution characteristics and obtain the structural data after feature extraction; By combining the structural data with the preset viewing distance, the change trend of the moiré fringes is determined to obtain the change trend data; If the change trend data exceeds a preset threshold, new distribution feature data is generated by adjusting the grating period to obtain adjusted distribution data; According to the adjusted distribution data, a clustering algorithm is used to analyze the matching degree between the moiré fringes and the preset threshold value to obtain matching result data; By combining the matching result data with the display screen parameters, determine whether the verification result meets the conditions and obtain the final verification data; According to the final verification data, statistical tools are used to analyze the stability of the feature distribution and obtain the optimized distribution data.

7. The method for simulating naked-eye 3D grating according to claim 1, characterized in that: The process of obtaining the cylindrical lens design scheme comprises: If the verification result data indicates that the moiré fringes are smaller than a preset threshold, the curvature parameters and spacing parameters of the cylindrical lens are calculated according to the distribution characteristics of the grating period and the horizontal grating pitch to obtain the first design solution data; Acquire the relative position data between the cylindrical lens and the color filter by combining the first design scheme data with the initial position of the color filter; According to the relative position data, a clustering algorithm is used to analyze the matching degree between the cylindrical lens and the grating period to obtain first matching result data; If the first matching result data exceeds the preset range, the distance between the color filter and the grating is adjusted, and the distribution characteristics are recalculated to obtain the second design solution data; Obtaining the distribution data of the adjusted curvature parameter and spacing parameter through the second design scheme data; According to the distribution data, statistical tools are used to analyze the stability of the cylindrical lens design scheme to obtain the optimized design parameter data; The compatibility between the cylindrical lens and the grating period is determined through the optimized design parameter data to obtain the final adaptation data.

8. The method for simulating naked-eye 3D grating according to claim 7, characterized in that: The process of obtaining the cylindrical lens design scheme also includes: If the verification result data indicates that the moiré fringes are larger than a preset threshold, the distance between the grating and the color filter is adjusted, the grating period and the horizontal grating pitch are recalculated, and the adjusted design parameters are obtained; Specifically, S100, adjusting the distance between the grating and the color filter, wherein the specific adjustment amount is quantitatively calculated according to the degree of excess of the moiré fringes; S200, recalculating the grating period and the horizontal grating pitch according to the adjusted distance, obtaining the adjusted design parameters, introducing an error analysis model during the calculation process, and evaluating the influence of the adjustment on the moiré fringes; S300, based on the adjusted design parameters, using a multi-dimensional parameter optimization algorithm, comprehensively considering factors such as viewing distance, viewing angle, pixel arrangement, etc., further optimize the grating period and horizontal grating pitch to reduce moiré fringes; S400, by simulating the distribution characteristics of the grating period and the horizontal grating pitch at the preset viewing distance of the display screen, it is determined again whether the moiré fringes are smaller than the preset threshold value, and new verification result data is obtained; If the moiré fringes are still greater than the preset threshold, the distance between the grating and the color filter is further adjusted according to the new verification result data, and the above steps S100 to S400 are repeated until the moiré fringes meet the requirements; It also includes establishing a dynamic adjustment mechanism to monitor the changing trend of the moiré fringes in real time, and dynamically adjust the distance between the grating and the color filter according to the real-time data to ensure that the moiré fringes are always within the controllable range; The distance adjusted each time, the calculated design parameters and the changing trend of the moiré fringes were recorded, and the rules in the adjustment process were analyzed using data analysis tools.

9. The method for simulating naked-eye 3D grating according to claim 1, characterized in that: After the step of obtaining the verification result data, the step of obtaining the verification result data further includes: Based on the adjusted design parameters, sub-pixel arrangement, preset viewing distance and pixel length and width, a dynamic matching algorithm between the grating period and the microlens unit arrangement is established to obtain a matching parameter set; By optimizing the arrangement characteristics of the grating and the microlens unit through the matching parameter set, determining whether the image blur level is lower than a preset threshold, and obtaining the optimized arrangement data; The final cylindrical lens grating digital model is generated based on the optimized arrangement data, and the curvature, spacing and arrangement parameters are extracted from the digital model to determine the final design solution.

10. A naked eye 3D grating simulation system, used to implement the above-mentioned naked eye 3D grating simulation method, characterized in that: include: The measurement module is used to obtain the angle data when the moiré fringes formed by the sub-pixel arrangement of the LED display screen and the grating are small through instrument measurement, and record the sub-pixel arrangement parameters and the change trend of the moiré fringes; A calculation module is used to calculate the grating period and horizontal grating pitch of the film grating according to the sub-pixel arrangement parameters, the preset viewing distance, the length and width of the pixel, and the initial distance between the grating and the color filter to obtain preliminary design parameters; Design module, which uses the calculated preliminary design parameters and combines them with the AI-assisted design algorithm to generate a high-precision digital model of the black-and-white film grating; An analysis module is used to intelligently extract and analyze the distribution characteristics of the grating period and horizontal pitch through the digital model using a machine learning algorithm, while introducing multi-dimensional parameter optimization to predict the performance of moiré fringes at different viewing distances and viewing angles; A verification module is used to determine whether the moiré fringes are smaller than a preset threshold value by simulating the distribution characteristics of the grating period and the horizontal grating pitch of the display screen at a preset viewing distance, and obtain verification result data; An adjustment module, for adjusting the distance between the grating and the color filter, recalculating the grating period and the horizontal grating pitch, and obtaining adjusted design parameters if the verification result data indicates that the moiré fringes are greater than a preset threshold value; A matching module is used to establish a dynamic matching algorithm between the grating period and the microlens unit arrangement based on the adjusted design parameters, sub-pixel arrangement, preset viewing distance and pixel length and width, and obtain a matching parameter set; An optimization module is used to optimize the arrangement characteristics of the grating and the microlens unit by matching the parameter set, determine whether the image blur level is lower than a preset threshold, and obtain optimized arrangement data; The generation module is used to generate the final cylindrical lens grating digital model according to the optimized arrangement data, extract the curvature, spacing and arrangement parameters from the digital model, and determine the final design scheme.

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