Backlight panel design method, device and storage medium based on algorithm optimization

Abstract

The application belongs to the technical field of display technology and intelligent algorithm cross technology, and discloses a backlight plate design method and device based on algorithm optimization and a storage medium, including constructing a backlight module optical model containing a reflection layer, a light guide layer, a diffusion layer, a first brightening layer, a second brightening layer and a light source, wherein the dot and microstructure of the light guide layer, the prism extension direction of the first prism sheet layer and the second prism sheet layer are perpendicular to each other in pairs; initializing the dot distribution parameters and the microstructure parameters; performing light ray tracing simulation to obtain the brightness distribution; evaluating the simulation results according to the evaluation function in terms of uniformity and brightness, and updating the dot parameters, the microstructure parameters and the two-layer prism sheet layer parameters based on the evaluation results; repeating iteration until the preset condition is met, and outputting the final design parameters. The above-mentioned method realizes the joint adjustment of the dot, the microstructure and the prism sheet layer through the step-by-step collaborative optimization of the multi-layer structure parameters, effectively improves the light uniformity and brightness of the backlight plate, and shortens the design cycle.

Description

Technical Field

[0001] This invention relates to the field of display technology and intelligent algorithm intersection technology, and in particular to a backlight design method, device and storage medium based on algorithm optimization. Background Technology

[0002] In existing technologies, backlight panels, as a key component of liquid crystal display devices, are primarily used to convert edge-lit point or line light sources into uniform surface light sources. Traditional backlight panel designs typically rely on manual experience or simple rules to arrange the dots on the light guide layer, and are combined with a brightness enhancement film at a fixed angle to improve brightness. To meet the demands of mass production and order fulfillment, companies generally deploy multiple production lines and employ manufacturing execution systems for production management, entering the mass production stage only after prototyping. Although existing technologies possess certain iterative compensation mechanisms, most are limited to optimizing single parameters such as dot density, failing to achieve closed-loop adjustment of multi-layer structural parameters, and neglecting adaptive compensation for the structural characteristics of the microstructure and the brightness enhancement layer prisms in the three vertical directions.

[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main objective of this invention is to provide a backlight design method, device, and storage medium based on algorithm optimization, aiming to solve the technical problems of inconsistent dot distribution, microstructure, and prism angle parameter adjustment, difficulty in balancing uniformity and brightness, and low production efficiency in existing backlight designs.

[0005] To achieve the above objectives, the present invention provides a backlight design method based on algorithm optimization, the backlight design method based on algorithm optimization comprising the following steps: An optical model of a backlight module is constructed. The optical model includes the structural parameters and material properties of a reflective layer, a light guide layer, a diffusion layer, a first brightness enhancement layer, a second brightness enhancement layer, and a light source. The light guide layer has a dot distribution on the side facing the reflective layer and a microstructure distribution on the side facing the light emission side. The first brightness enhancement layer includes a first prism sheet layer, and the second brightness enhancement layer includes a second prism sheet layer. Based on the constructed optical model, the distribution parameters of the dots and the parameters of the microstructure are initialized according to the position of the light source and the size of the light guide layer, and the initialized parameters are assigned to the optical model. Perform ray tracing simulation on the assigned optical model, calculate the output light brightness distribution under the current parameters, and collect brightness data of each region based on the light brightness distribution; The uniformity and brightness of the brightness data are evaluated according to the preset evaluation function. If the evaluation result does not meet the preset standard, the dot distribution parameters, microstructure parameters, first prism sheet layer parameters and second prism sheet layer parameters in the optical model are updated and adjusted based on the evaluation result. The repeated parameter update and adjustment steps are carried out iteratively using the optical model as a carrier until the uniformity change is less than a preset threshold or the preset upper limit of the number of iterations is reached, and then the iteration stops. The dot distribution parameters and microstructure parameters are extracted from the adjusted optical model as the design results and output.

[0006] In one embodiment, the preset evaluation function is:

[0007] in, This is a comprehensive evaluation score for optical performance, ranging from 0 to 1. The value is positively correlated with the optical performance. These are weighting coefficients, all of which are positive and satisfy the following conditions: Allows adjustment of weight priority based on application scenario. It is the average brightness of the entire light-emitting surface. It is the preset target average brightness. It is the coefficient of variation, the ratio of the standard deviation to the mean. Standard deviation , It is the first The brightness value of a pixel or test point.

[0008] In one embodiment, adjusting the network distribution parameters includes: Maintain a uniform distribution of dots along the first axis with constant spacing; The dots are arranged non-uniformly along the second axis using a power-law gradient. Linear scanning optimization is performed on the diameter of the dots.

[0009] In one embodiment, adjusting the microstructure parameters includes: Linear scan optimization is performed on the apex corners of the microstructure; The length of the waist is calculated in conjunction with the constant height of the prism.

[0010] In one embodiment, adjusting the parameters of the first prism sheet layer and the second prism sheet layer includes: Linear scanning optimization is performed on the prism apex angle of the first prism sheet layer, and the waist length is calculated in conjunction with the constant first prism height; The prism apex angle of the second prism sheet layer is optimized by linear scanning, and the waist length is calculated in conjunction with the constant second prism height.

[0011] In one embodiment, the setting angle of the microstructure is based on the light guide layer body structure as a reference angle, the setting angle of the first prism sheet layer is perpendicular to the microstructure, the setting angle of the second prism sheet layer is perpendicular to the first prism sheet layer, and the prism extension directions of the three are perpendicular to each other.

[0012] In one embodiment, the method further includes: Coordinated optimization of the extension orientation of dots, microstructures, first prism sheet layer and second prism sheet layer along the Z-axis, with each structure orientation corresponding to the extension along the positive or negative direction of the Z-axis respectively; By iterating through different orientation combinations and repeatedly performing parameter update and adjustment steps for each combination, the optical performance indicators corresponding to each combination are recorded, and the orientation combination with the best optical performance is selected as the design result for output.

[0013] Furthermore, to achieve the above objectives, the present invention also proposes an algorithm-optimized backlight panel design device, which includes: a memory, a processor, and an algorithm-optimized backlight panel design program stored in the memory and executable on the processor. The algorithm-optimized backlight panel design program is configured to implement the steps of the algorithm-optimized backlight panel design method described above.

[0014] Furthermore, to achieve the above objectives, the present invention also proposes a storage medium storing an algorithm-optimized backlight panel design program, wherein when the algorithm-optimized backlight panel design program is executed by a processor, it implements the steps of the algorithm-optimized backlight panel design method described above.

[0015] Furthermore, to achieve the above objectives, the present invention also proposes a computer program product, wherein the computer program product stores an algorithm-optimized backlight panel design program, and when the algorithm-optimized backlight panel design program is executed by a processor, it implements the steps of the algorithm-optimized backlight panel design method described above.

[0016] This invention constructs an optical model of a backlight module comprising a reflective layer, a light guide layer, a diffusion layer, a first brightness enhancement layer, a second brightness enhancement layer, and a light source. The dot distribution and microstructure of the light guide layer, the prism extension directions of the first prism sheet layer, and the second prism sheet layer are all mutually perpendicular. Dot distribution parameters and microstructure parameters are initialized. Ray tracing simulation is performed to obtain the brightness distribution. The uniformity and brightness of the simulation results are evaluated according to an evaluation function, and the dot parameters, microstructure parameters, and parameters of the two prism sheet layers are updated based on the evaluation results. This process is repeated iteratively until preset conditions are met, and the final design parameters are output. This method, through step-by-step collaborative optimization of multi-layer structural parameters, achieves joint adjustment of the dot distribution, microstructure, and prism sheet layers, effectively improving the light emission uniformity and brightness of the backlight panel and shortening the design cycle. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating the first embodiment of the algorithm-optimized backlight panel design method of the present invention. Figure 2 This is a flowchart of the algorithm-optimized backlight design method in the algorithm-optimized backlight design method of the present invention; Figure 3 This is a schematic diagram of the light source side cross-section of the backlight module 1 in the algorithm-optimized backlight panel design method of the present invention; Figure 4 This is a three-dimensional front view of the backlight module 1 in the algorithm-optimized backlight panel design method of the present invention.

[0018] Explanation of reference numerals in the attached figures: 1. Backlight module; 11. Reflective layer; 12. Light guide layer; 13. Diffuse layer; 14. First brightness enhancement layer; 15. Second brightness enhancement layer; 16. Light source; 121. Dots; 122. Microstructure; 123. Light guide substrate; 141. First brightness enhancement sub-layer; 142. First prism sheet layer; 151. Second brightness enhancement sub-layer; 152. Second prism sheet layer; 2. Optimization algorithm; 21. First optimization control unit; 22. Second optimization control unit; 23. Third optimization control unit; 3. Evaluation function; 31. Uniformity evaluation sub-module; 32. Brightness evaluation sub-module.

[0019] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0020] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.

[0021] This invention provides a backlight panel design method based on algorithm optimization, referring to... Figure 1 , Figure 1This is a flowchart illustrating the first embodiment of a backlight panel design method based on algorithm optimization according to the present invention.

[0022] In this embodiment, the algorithm-optimized backlight design method includes the following steps: Step S10: Construct the optical model of the backlight module.

[0023] In this embodiment, the execution subject is a backlight design device based on algorithm optimization. This backlight design device based on algorithm optimization has functions such as data processing, data communication, and program execution. The backlight design device based on algorithm optimization can be a computer terminal device or other network device, or other devices with similar functions. This embodiment does not limit the scope of the application.

[0024] It should be noted that in existing technologies, the backlight panel, as a key component of liquid crystal display devices, is mainly used to convert edge-lit point or line light sources into uniform surface light sources. Traditional backlight panel design typically relies on manual experience or simple rules to arrange the dots on the light guide layer, and uses a brightness enhancement film at a fixed angle to improve brightness. To meet the demands of mass production and order fulfillment, companies generally deploy multiple production lines and use manufacturing execution systems for production management, entering the mass production stage only after prototyping. Although existing technologies have certain iterative compensation mechanisms, most are limited to optimizing single parameters such as dot density, failing to achieve closed-loop adjustment of multi-layer structural parameters, and also failing to adaptively compensate for the structural characteristics of the microstructure and the brightness enhancement layer prisms in the three vertical directions.

[0025] To address the aforementioned technical issues, this embodiment constructs an optical model of a backlight module comprising a reflective layer, a light guide layer, a diffusion layer, a first brightness enhancement layer, a second brightness enhancement layer, and a light source. The dot distribution and microstructure of the light guide layer, the prism extension directions of the first and second prism sheet layers are mutually perpendicular. Dot distribution parameters and microstructure parameters are initialized. Ray tracing simulation is performed to obtain the brightness distribution. The simulation results are evaluated for uniformity and brightness using an evaluation function, and the dot parameters, microstructure parameters, and parameters of the two prism sheet layers are updated based on the evaluation results. This iteration is repeated until preset conditions are met, and the final design parameters are output. This method, through step-by-step collaborative optimization of multi-layer structural parameters, achieves joint adjustment of the dot distribution, microstructure, and prism sheet layers, effectively improving the light emission uniformity and brightness of the backlight panel and shortening the design cycle. Specifically, it can be implemented as follows.

[0026] In the specific implementation, this embodiment first combines Figure 2 The overall process of the design methodology is explained, with reference to... Figure 2As shown, the core components include a backlight module 1, an optimization algorithm 2, and an evaluation function 3. The backlight module 1 has a reflective layer 11, a light guide layer 12, a diffusion layer 13, a first brightness enhancement layer 14, and a second brightness enhancement layer 15 arranged sequentially along the optical path, and is equipped with a light source 16. The optimization algorithm 2 includes a first optimization control unit 21, a second optimization control unit 22, and a third optimization control unit 23, each unit working together to perform targeted optimization operations. The evaluation function 3 consists of a uniformity evaluation submodule 31 and a brightness evaluation submodule 32, used to quantitatively evaluate the optical performance of the backlight module 1. Furthermore, the light guide layer 12 is composed of dots 121, microstructures 122, and a light guide substrate 123; the first brightness enhancement layer 14 includes a first brightness enhancement sublayer 141 and a first prism sheet layer 142, and the second brightness enhancement layer 15 includes a second brightness enhancement sublayer 151 and a second prism sheet layer 152. The setting angle of the microstructure 122 is based on the main structure of the light guide layer 12 as a reference angle, the setting angle of the first prism sheet layer 142 is perpendicular to the microstructure 122, and the setting angle of the second prism sheet layer 152 is perpendicular to the first prism sheet layer 142. The prism extension directions of the three are mutually perpendicular. A schematic diagram of the above structure is shown below. Figure 3 and Figure 4 As shown, where Figure 3 This is a cross-sectional view of the light source side of backlight module 1. Figure 4 This is a three-dimensional front view schematic diagram of backlight module 1.

[0027] In this embodiment, the overall optimization and iterative process is as follows: First, the optical simulation results of the backlight module 1 are obtained. The simulation results are then transmitted to the evaluation function 3 for analysis and processing. The uniformity evaluation submodule 31 and the brightness evaluation submodule 32 are used to quantify and determine the uniformity and brightness indices corresponding to the simulation results, respectively. If the simulation results do not meet the preset evaluation criteria, the optimization algorithm 2 is activated to perform hierarchical collaborative optimization: The first optimization control unit 21 performs precise adjustment and optimization of the density, size, position, and arrangement of the dots 121; the second optimization control unit 22 performs adaptive adjustment and optimization of the orientation, size, position, and arrangement of the microstructures 122; and the third optimization control unit 23 performs synchronous adjustment and optimization of the prism angle, height, spacing, and arrangement of the first prism sheet layer 142 and the second prism sheet layer 152. The above optimization process is iterated until the simulation results of the backlight module 1 meet the preset evaluation criteria.

[0028] It should be noted that the optical model constructed in this embodiment includes the structural parameters and material properties of the reflective layer 11, the light guide layer 12, the diffusion layer 13, the first brightening layer 14, the second brightening layer 15, and the light source 16; wherein, the light guide layer 12 has a dot matrix 121 distributed on the side facing the reflective layer 11 and a microstructure 122 distributed on the side facing the light emitting side, the first brightening layer 14 includes a first prism sheet layer 142, and the second brightening layer 15 includes a second prism sheet layer 152.

[0029] In one embodiment, the reflective layer 11 specifically includes a high-reflectivity film layer whose size, thickness, and material properties are set in simulation software, with a reflectivity of not less than 98% and a haze of not less than 95%, ensuring efficient reflection of light back to the light guide layer 12. The light guide layer 12 specifically includes a light guide substrate 123 whose size, thickness, and material properties are set in simulation software, without additional coating. Dots 121 are distributed on the side of the light guide substrate 123 facing the reflective layer 11, and microstructures 122 are distributed on the side facing the light-emitting side, i.e., the diffusion layer 12. The initial arrangement of the dots 121 is described below: "Uniform arrangement in the XY directions" means arranging points, objects, or pixels into a grid with fixed intervals on a two-dimensional plane. In a Cartesian coordinate system, assuming a grid is generated... OK Column grid:

[0030]

[0031] in, They are the first Column, No. The coordinates of grid point 121 in the row; These are the coordinates of the starting point 121; These are index variables; These are the spacing steps along the X and Y axes, respectively.

[0032] The microstructure 122 is a triangular prism with an isosceles triangular cross-section, extending in the X direction and uniformly arranged on the light-emitting side surface of the light guide substrate 123 near the diffuser layer 13, with consistent and parallel spacing. Its extension direction is perpendicular to the prism extension directions of the first prism sheet layer 142 and the second prism sheet layer 152, conforming to a three-perpendicular structure layout, synergistically improving light emission uniformity and brightness. The initial arrangement of the microstructure 122 is described here: Let the starting point of the arrangement of microstructure 122 be... The spacing between the rows is , No. The center coordinates of microstructure 122 are:

[0033] in, It is the first The X-coordinate of each microstructure center remains unchanged; It is the first The Y-coordinate of the center of each microstructure 122 increases uniformly with the index; It is the fixed X-coordinate of all microstructures 122; It is the Y-coordinate of the first microstructure 122; It is the vertical spacing between adjacent microstructures 122, and the spacing between them is consistent. It is the index of microstructure 122 (from) , (Total quantity).

[0034] The diffusion layer 13 specifically includes setting the size, thickness, and material properties of the diffusion layer 13 in the simulation software. The diffusion layer 13 is a high transmittance film layer with a transmittance of not less than 90% and a haze of not less than 90%, which is used to eliminate dot shadows and make the light distribution more uniform.

[0035] The first brightening layer 14 specifically includes the size, thickness, and material properties of the first brightening sub-layer 141 and the first prism sheet layer 142, which are set in the simulation software. The first brightening layer 14 adopts a high transmittance film layer with a transmittance of not less than 90% and a haze of not less than 20%. The first prism sheet layer 142 included in the first brightening layer 14 has an angle of 90° based on the microstructure 122. The first prism sheet layer 142 is similar to the microstructure 122 as a triangular prism columnar structure with an isosceles triangle cross-section, extending in the Y direction. The initial arrangement of the first prism sheet layer 142 is described here: Let the starting point of the prism arrangement of the first prism sheet layer 142 be... The spacing between the rows is , No. The center coordinates of the prisms are:

[0036] in, It is the first The X-coordinate of the center of each prism increases uniformly with the index; It is the first The Y-coordinate of the center of each prism remains unchanged; It is the X-coordinate of the first prism; It is the fixed Y-coordinate of all prisms; It is the horizontal spacing between adjacent prisms, and the spacing between them is consistent. It is the index of the prism (from) , (Total quantity).

[0037] The second brightening layer 15 specifically includes setting the size, thickness, and material properties of the second brightening sub-layer 152 and the second prism sheet layer 152 in the simulation software. The second brightening layer 15 adopts a high transmittance film layer with a transmittance of not less than 90% and a haze of not less than 20%. The angle of the second prism sheet layer 152 included in the second brightening layer 15 is set to 90° based on the first prism sheet layer 142. The second prism sheet layer 152 is similar to the microstructure 122 as a triangular prism columnar structure with an isosceles triangle cross-section, extending in the X direction. The initial arrangement of the second prism sheet layer 152 is described here: Let the starting point of the prism arrangement of the second prism sheet layer 152 be... The spacing between the rows is , No. The center coordinates of the prisms are:

[0038] in, It is the first The X-coordinate of the center of each prism remains unchanged; It is the first The Y-coordinate of the center of each prism increases uniformly with the index; It is the fixed X-coordinate of all prisms; It is the Y-coordinate of the first prism; It is the vertical spacing between adjacent prisms, and the spacing between them is consistent. It is the index of the prism (from) , (Total quantity) Specifically, light source 16 includes setting the side-lit light source type to a Lambertian light source in the simulation software, and simultaneously configuring the light source size, light source energy, light divergence angle, apodization type, and visible light spectral power distribution curve.

[0039] Step S20: Based on the constructed optical model, initialize the distribution parameters of the dots and the parameters of the microstructure according to the position of the light source and the size of the light guide layer, and assign the initialized parameters to the optical model.

[0040] In the specific implementation, the initialization of the distribution parameters of dot 121, for example, "uniformly distributed in the XY direction," is performed on a two-dimensional plane, arranging points, objects, or pixels into a grid with fixed intervals. In a Cartesian coordinate system, assuming a... OK Column grid:

[0041]

[0042] in, They are the first Column, No. The coordinates of grid point 121 in the row; These are the coordinates of the starting point 121; These are index variables; These are the spacing steps along the X and Y axes, respectively.

[0043] Furthermore, the microstructure 122 is a triangular prism structure with an isosceles triangular cross-section, extending in the X direction and uniformly arranged on the light-emitting side surface of the light guide substrate 123 near the diffuser layer 13, with consistent and parallel spacing. Its extension direction is perpendicular to the prism extension directions of the first prism sheet layer 142 and the second prism sheet layer 152, conforming to a three-perpendicular structure layout, synergistically improving light emission uniformity and brightness. For example, the initialization of the parameters of the microstructure 122 can be achieved by setting the starting point of the arrangement of the microstructure 122 as... The spacing between the rows is , No. The center coordinates of microstructure 122 are:

[0044] in, It is the first The X-coordinate of each microstructure center remains unchanged; It is the first The Y-coordinate of the center of each microstructure 122 increases uniformly with the index; It is the fixed X-coordinate of all microstructures 122; It is the Y-coordinate of the first microstructure 122; It is the vertical spacing between adjacent microstructures 122, and the spacing between them is consistent. It is the index of microstructure 122 (from) , (Total quantity).

[0045] Step S30: Perform ray tracing simulation on the assigned optical model, calculate the output brightness distribution under the current parameters, and collect brightness data of each region based on the brightness distribution.

[0046] In the specific implementation, ray tracing simulation is executed collaboratively by simulation software and automated scripts, as follows: Scripted simulation parameter preset: Parameter constraints are set in the simulation software through algorithm script code, including setting thresholds for the number of rays and luminous flux, while also presetting the maximum number of iterations per simulation; Ray tracing execution: The algorithm script calls the ray tracing engine of the simulation software to automatically collect simulation data from the entire emitting surface. The simulation engine automatically collects simulation data from the entire emitting surface and generates a brightness distribution map. The emitting surface can be divided into multiple regions (e.g., 20×20 grids), and the average brightness of each region is collected. This brightness data is subsequently used to calculate the average brightness and coefficient of variation, serving as input to the evaluation function. Step S40: Evaluate the uniformity and brightness of the brightness data according to the preset evaluation function. If the evaluation result does not meet the preset standard, update and adjust the dot distribution parameters, microstructure parameters, first prism sheet layer parameters and second prism sheet layer parameters in the optical model based on the evaluation result.

[0047] It should be noted that, in order to quantitatively evaluate the optical performance of backlight module 1, a comprehensive evaluation function covering two dimensions, brightness and uniformity, is introduced. The details are as follows:

[0048] in, This is a comprehensive evaluation score for optical performance, ranging from 0 to 1. The value is positively correlated with the optical performance. These are weighting coefficients, all of which are positive and satisfy the following conditions: Allows adjustment of weight priority based on application scenario. It is the average brightness of the entire light-emitting surface. It is the preset target average brightness. It is the coefficient of variation, the ratio of the standard deviation to the mean. Standard deviation , It is the first The brightness value of a pixel or test point.

[0049] Furthermore, if the evaluation results do not meet the preset standards, such as the optical performance reaching the target performance, the adjustment of the distribution parameters of the dots 121 includes: maintaining the dots 121 uniformly arranged along the first axis with constant spacing; using a power-law gradient to non-uniformly arrange the dots 121 along the second axis; and performing linear scanning optimization on the diameter of the dots 121.

[0050] In one embodiment, a specific implementation, for example, combines the brightness deviation data acquired in the initial simulation with a differentiated optimization strategy of "uniform arrangement on the Y-axis + power-law gradient on the X-axis," which both preserves the basic arrangement regularity and specifically compensates for light attenuation. Maintaining uniform spacing of dots 121 along the Y-axis: Following the uniform Y-axis spacing logic established in step one, the spacing of dots 121 along the Y-axis remains constant. The calculation formula remains the same:

[0051] in, For the first The Y-axis coordinate of grid point 121; The starting coordinates for the Y-axis layout; Y-axis direction index variable ( , (Total number of rows for Y-axis grid points 121). A fixed spacing step size is set in the Y-axis direction to ensure that the dots 121 are evenly distributed in the Y-axis direction, providing a stable benchmark for X-axis gradient optimization.

[0052] Power-law gradient optimization of dot 121 along the X-axis: To address the attenuation issue of light rays traveling from the light source 16 (the starting point of the X-axis) to the far end of the guide layer 12 (the ending point of the X-axis), a modified power-law gradient formula is used to perform a non-uniform gradient adjustment of the X-axis spacing of dot 121. The basic power-law spacing formula describes the spacing as a function of the index. The relationship follows a power-law pattern:

[0053] in, The Y-axis spacing of the i-th row of dots 121; A is the scaling factor; p is the power factor, controlling the gradient rate, when... At that time, the spacing varies Increase and decrease; when At that time, the spacing varies It increases as it grows.

[0054] The above power-law spacing formula is in The denominator may become zero, so an offset is introduced. To avoid the singularity:

[0055] In practical scenarios, it is necessary to ensure that the grid points 121 are not too dense to cause optical interference; therefore, a minimum spacing is incorporated. As a lower limit:

[0056] in, It is the first The X-axis spacing of column points 121, that is, the distance between two adjacent column points 121 in the X-axis direction, varies with the index. Dynamic changes; It is the X-axis direction index variable ( , (Total number of columns of X-axis dots 121), starting from the side of light source 16 and increasing towards the far end of guide light layer 12; It is a scaling factor, which is calculated and assigned by the script based on the brightness attenuation rate of the initial simulation. It controls the overall change range of the X-axis spacing to ensure that the gradual adaptation matches the light attenuation law. It is the offset, and its value range is... ,avoid When a calculation singularity occurs (in the first column of dots on the light source side), it is determined by the script in conjunction with the X-axis dimension of the light guide layer 12. It is a power coefficient that controls the gradual change rate of the X-axis spacing, and its value is... ,at this time Follow The density of the halftone dots increases and decreases, meaning that the halftone dots 121 are gradually increased from the light source 16 side to the far end in the X-axis direction to compensate for light attenuation. This is the lower limit of the minimum spacing along the X-axis, a constraint parameter. Its value is determined based on the characteristics of the light guide substrate 123 and the size of the dot matrix 121, preventing excessively dense dot matrix 121 at the far end of the X-axis from causing optical interference. Script verification ensures all... .

[0057] Dot 121 Diameter Linear Scan Optimization: After determining the location distribution of dots 121, to further optimize overall brightness and uniformity, a uniform linear scan of the diameter of dots 121 is performed across the entire area. The script finds the optimal optical performance point by successively increasing the diameter value. The specific formula and logic are as follows:

[0058] in, It is the first The diameter of the full light guide layer 12 with uniform dots 121 corresponding to each scan; It is the starting value for scanning the diameter of dot 121, set according to the minimum processing capacity of the process; It is a scan count index ( , (Total number of scans preset). It is the diameter scanning step size, with a value range of 0.005~0.02mm, used to control scanning accuracy and calculation efficiency.

[0059] The script calculates the result in each scan. Then, a feasibility check will be performed automatically:

[0060] in, Minimum machining diameter, To achieve the maximum permissible diameter, it must be smaller than the minimum dot spacing of 121. Half of it, to prevent the dots from sticking together; if If the range is exceeded, the script will automatically stop scanning or correct it.

[0061] For each combination of parameters obtained from the scan, "position parameters" + Uniform diameter The script will update the optical model of backlight module 1 and repeat the ray tracing simulation in step two, recording the corresponding brightness and uniformity indicators. The script will iterate through all scan points and select the dot diameter with the best optical performance. The results, along with the corresponding positional parameters, are output as the final optimization results of step three, providing a foundation for microstructure optimization in step four.

[0062] Furthermore, the adjustment of the parameters of microstructure 122 includes: linear scanning optimization of the apex angle of microstructure 122; and calculation of the waist length based on a constant prism height. Specifically, based on the optimized dot distribution parameters of dot 121 and the results of a new round of simulations, the second optimization control unit 22 of optimization algorithm 2 is activated to adjust the variables of the triangular prism structure of microstructure 122. Through dynamic optimization of the apex angle and waist length, the dot effect is adapted to further improve optical performance. The specific operation is as follows: Microstructure 122 maintains its triangular prism structure, X-axis extension direction, and uniform arrangement characteristics, and maintains its three perpendicular structural relationship with the first and second prism sheet layers. The vertices, legs, or vertical spacing of adjacent microstructures 122 are determined by the isosceles triangle cross-section. Set as variables. Among them, the apex of microstructure 122 adopts a unified linear scanning mode, and the waist length changes synchronously with the corresponding apex. Based on the brightness distribution deviation simulated in step three, the dot matrix optimization effect is adapted by linking apex scanning with waist length to further improve optical performance.

[0063] The vertex angle of the isosceles triangle in section 122 of the microstructure is set as a variable. All microstructures 122 in the full light guide layer 12 have the same apex angle, with no differences between columns or rows. The apex angle value is changed successively using a linear scanning method. The scanning process is adjusted in conjunction with the brightness deviation feedback from the simulation in step three. The specific linear scanning formula and logic are as follows:

[0064] in, It is the first The vertex value corresponding to each scan is used for all microstructures 122 in the entire light guide layer; It is the vertex scanning reference value, with a range of 60°~90°, which serves as the starting reference for linear scanning; It is a scan count index ( , (This is the preset total number of scans), and it increments by 1 with each scan until the preset vertex range is traversed or the optimal value is found. It is the linear scanning step size at the apex, which is a fixed increment value, ranging from 0.5° to 2°. The smaller the step size, the higher the scanning accuracy.

[0065] The entire apex scan must fall within the process-feasible range, as determined by the script. The scan stops when the angle exceeds the range of 135° to 165° to avoid invalid parameters. To ensure that the microstructure cross-section remains a standard isosceles triangle and the structural height is constant, the leg length is... Based on the vertices of the current scan Real-time calculations are performed using trigonometric function formulas, as follows:

[0066] in, It is the 122nd microstructure prism. The waist length value corresponding to each scan; The prism height of microstructure 122 is set by the thickness of light guide layer 12 and design requirements, and does not change with the apex angle; It is the first The formula ensures that the waist length automatically adapts to maintain the structural height when the apex changes, thus avoiding geometric distortion.

[0067] The script calculates the vertex corresponding to each scan according to a preset number of scans and step size. Corresponding changes in waist length The script generates microstructure parameter sets for each scan. After each parameter update, the vertical extension direction, uniform spacing, and three-vertical structure relationship of microstructure 122 remain unchanged. Step two is repeated to perform ray tracing simulation and initial result acquisition, recording the corresponding brightness and uniformity indices. The script calculates the apex angle corresponding to each scan according to the preset number of scans and step size. Corresponding changes in waist length The microstructure parameter set for each scan is generated and synchronously updated to the optical model of backlight module 1.

[0068] Furthermore, the adjustment of the parameters of the first prism sheet layer 142 and the second prism sheet layer 152 includes: performing linear scan optimization on the prism apex angle of the first prism sheet layer 142 and calculating the waist length based on a constant first prism height; performing linear scan optimization on the prism apex angle of the second prism sheet layer 152 and calculating the waist length based on a constant second prism height. Specifically, this is achieved by activating the third optimization control unit 23 of optimization algorithm 2 to optimize the prism parameter variables for the first prism sheet layer 142 of the first brightness enhancement layer 14 and the second prism sheet layer 152 of the second brightness enhancement layer 15. Maintaining the relationship between the two prism sheet layers and the three perpendicular extension directions of the microstructure 122, the core prism parameters are optimized, as follows: Based on the brightness distribution simulation in step four, the vertex angle and edge height of the isosceles triangle of the prism cross-section are selected as the core optimization variables. The sheet parameters of the two prism layers are adjusted independently, maintaining uniform parameters across all layers with no inter-column or inter-row differences. The first prism sheet layer 142 maintains the triangular prism columnar structure, Y-axis extension direction, and uniform arrangement characteristics, and is perpendicular to microstructure 122 (X-axis extension) at 90°. The vertex angle is adjusted using a linear scanning method, and the prism waist length is simultaneously calculated using geometric formulas, as follows: Let the vertex angle variable of the first prism sheet layer 142 prism be... The formula is as follows: The linear scanning method is used to change the value sequentially.

[0069] in, It is the first The parameters of the first prism sheet layer 142 prism apex corner corresponding to the next scan are consistent; It is the reference value for scanning the apex angle of the first prism sheet layer 141, with a value range of 30°~60°; It is the index of the number of scans for the first prism sheet layer 142 ( , (This is the preset total number of scans), incrementing by 1 with each scan; This is the scanning step size at the apex of the 142 prisms in the first prism sheet layer, ranging from 0.5° to 2°; the script automatically verifies this. If the angle exceeds the range of 105°~135°, the scan will stop and the valid parameter range will be recorded.

[0070] Formula for calculating waist length:

[0071] in, It is the first prism sheet layer, 142nd prism. The waist length value corresponding to each scan; The height of the first prism sheet layer 142 prism edge is set by the thickness of the first brightening layer 14 and design requirements, and does not change with the apex angle; It is the first The apex of the next scan.

[0072] The second prism sheet layer 152 maintains the triangular prism columnar structure, X-axis extension direction, and uniform arrangement characteristics. It is perpendicular to the first prism sheet layer 142 (Y-axis extension) at 90°. The apex angle is adjusted using a linear scanning method, and the prism leg length is calculated simultaneously using geometric formulas, as follows: Let the vertex angle variable of the second prism sheet layer 152 prism be... The formula is as follows: The linear scanning method is used to change the value sequentially.

[0073] in, It is the first The parameters of the second prism sheet layer 152 apex angle corresponding to the next scan are consistent; It is the reference value for scanning the apex angle of the second prism sheet layer 152, with a value range of 30°~45°, which may be different from the reference value of the first prism sheet layer 142. It is the index of the number of scans of the 152 prisms in the second prism sheet layer ( , (This is the preset total number of scans), incrementing by 1 with each scan; This refers to the scanning step size at the apex of the 152 prisms in the second prism sheet layer, ranging from 0.5° to 2°; the script automatically verifies this. If the angle exceeds the range of 75°~105°, the scan will stop and the valid parameter range will be recorded.

[0074] Formula for calculating waist length:

[0075] in, It is the first prism sheet layer, 152nd prism. The waist length value corresponding to each scan; The height of the second prism sheet layer 152 is determined by the thickness of the second brightening layer 15 and design requirements, and does not change with the apex angle. It is the first The apex of the next scan.

[0076] The script calculates the vertex corresponding to each scan according to a preset number of scans and step size. Corresponding changes in waist length The microstructure parameter set for each scan is generated. After each parameter update, the extension direction, uniform spacing, and three-perpendicular structure relationship of the first prism sheet layer 142 and the second prism sheet layer 152 remain unchanged. Step two is repeated to perform ray tracing simulation and initial result acquisition, and the corresponding brightness and uniformity indices are recorded. The script calculates the apex angle corresponding to each scan according to the preset number of scans and step size. Corresponding changes in waist length The microstructure parameter set for each scan is generated and synchronously updated to the optical model of backlight module 1.

[0077] Step S50: Repeat the parameter update and adjustment steps. Iterative optimization is performed using the optical model as a carrier until the uniformity change is less than the preset threshold or the preset upper limit of the number of iterations is reached. Then, the iteration is stopped, and the dot distribution parameters and microstructure parameters are extracted from the adjusted optical model as the design results for output.

[0078] In this embodiment, the optimization of the Z-axis extension orientation of the dot array 121, microstructure 122, first prism sheet layer 142, and second prism sheet layer 152 is further included. Each structural orientation corresponds to extension along the positive or negative Z-axis direction. By traversing different orientation combinations and repeatedly performing parameter update and adjustment steps for each combination, the optical performance indicators corresponding to each combination are recorded, and the orientation combination with the best optical performance is selected as the design result for output. For example, the orientation of dot array 121 represents the extension direction of the dot array along the Z-axis, with a value of "+1" or "-1", where "+1" indicates extension along the positive Z-axis direction and "-1" indicates extension along the negative Z-axis direction. The orientation of microstructure 122 represents the extension direction of the triangular prism structure, with a value of "+1" or "-1", where "+1" indicates extension along the positive Z-axis direction and "-1" indicates extension along the negative Z-axis direction, maintaining the isosceles triangle shape of the cross-section, uniform spacing, and structural height. The orientation of the first prism sheet layer 142: characterizes the extension direction of the prism structure, with a value of "+1" or "-1", where "+1" indicates that the prism extends along the positive Z-axis, and "-1" indicates that it extends along the negative Z-axis, maintaining the vertices, edge heights, and uniform arrangement characteristics of the isosceles triangles in the cross-section. The orientation of the second prism sheet layer 152: characterizes the extension direction of the prism structure, with a value of "+1" or "-1", where "+1" indicates that the prism extends along the positive Z-axis, and "-1" indicates that it extends along the negative Z-axis, maintaining the vertices, edge heights, and uniform arrangement characteristics of the isosceles triangles in the cross-section. Based on the updated orientation parameters, the optimization process of steps two to five is repeated to adapt each structural dimension parameter to the current Z-axis orientation. After each full-process iteration, the script automatically records the optical performance indicators corresponding to the orientation combination, including but not limited to: light output brightness and light output uniformity, and associates them with all optimization parameters corresponding to the combination to form a complete parameter performance mapping table. The script then selects the orientation combination with the highest score as the optimal solution for this optimization. Based on the optimal orientation combination and corresponding optimization parameters, the final step two ray tracing simulation is performed to verify the optical performance of backlight module 1, record the final brightness distribution, uniformity and optical loss data of each layer, and generate a complete parameter optimization report.

[0079] In this embodiment, an optical model of the backlight module is constructed, comprising a reflective layer, a light guide layer, a diffusion layer, a first brightness enhancement layer, a second brightness enhancement layer, and a light source. The dot distribution and microstructure of the light guide layer, the prism extension directions of the first and second prism sheet layers are mutually perpendicular. Dot distribution parameters and microstructure parameters are initialized. Ray tracing simulation is performed to obtain the brightness distribution. The simulation results are evaluated for uniformity and brightness using an evaluation function, and the dot parameters, microstructure parameters, and parameters of the two prism sheet layers are updated based on the evaluation results. This iteration is repeated until preset conditions are met, and the final design parameters are output. This method, through step-by-step collaborative optimization of multi-layer structural parameters, achieves joint adjustment of the dot distribution, microstructure, and prism sheet layers, effectively improving the light emission uniformity and brightness of the backlight panel and shortening the design cycle.

[0080] Furthermore, embodiments of the present invention also propose a storage medium storing an algorithm-optimized backlight program, wherein when the algorithm-optimized backlight program is executed by a processor, it implements the steps of the algorithm-optimized backlight method described above.

[0081] Furthermore, this embodiment of the invention also proposes a computer program product, which stores an algorithm-optimized backlight panel design program. When the algorithm-optimized backlight panel design program is executed by a processor, it implements the steps of the algorithm-optimized backlight panel design method described above.

[0082] This application embodiment also provides a backlight panel design device based on algorithm optimization, including a processor, a communication interface, a memory, and a communication bus. The processor, communication interface, and memory communicate with each other through the communication bus. The memory is used to store the backlight panel design program based on algorithm optimization. When the processor executes the program stored in the memory, it implements the aforementioned backlight panel design method based on algorithm optimization.

[0083] The communication bus mentioned in the algorithm-optimized backlight design device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc.

[0084] The communication interface is used for communication between the aforementioned algorithm-optimized backlight panel design device and other devices.

[0085] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0086] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0087] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (SSD)).

[0088] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0089] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0090] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

[0091] It should be understood that the above are merely illustrative examples and do not constitute any limitation on the technical solutions of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any restrictions on this.

[0092] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this invention. In practical applications, those skilled in the art can select some or all of the workflow to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.

[0093] In addition, for technical details not described in detail in this embodiment, please refer to the algorithm-optimized backlight design method provided in any embodiment of the present invention, which will not be repeated here.

[0094] Furthermore, it should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0095] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0096] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0097] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

[0098] It is understood that the system provided in the embodiments of the present invention corresponds to the method provided in the embodiments of the present invention, and the explanation, examples and beneficial effects of the relevant content can be referred to the corresponding parts of the above method.

Claims

1. A backlight panel design method based on algorithm optimization, characterized in that, The algorithm-optimized backlight design method includes: An optical model of the backlight module is constructed. The optical model includes the structural parameters and material properties of a reflective layer (11), a light guide layer (12), a diffusion layer (13), a first brightness enhancement layer (14), a second brightness enhancement layer (15), and a light source (16). The light guide layer (12) has a dot matrix (121) distributed on the side facing the reflective layer (11) and a microstructure (122) distributed on the side facing the light-emitting side. The first brightness enhancement layer (14) includes a first prism sheet layer (142), and the second brightness enhancement layer (15) includes a second prism sheet layer (152). Based on the constructed optical model, according to the position of the light source (16) and the size of the light guide layer (12), the distribution parameters of the dots (121) and the parameters of the microstructure (122) are initialized, and the initialized parameters are assigned to the optical model. Perform ray tracing simulation on the assigned optical model, calculate the output light brightness distribution under the current parameters, and collect brightness data of each region based on the light brightness distribution; The uniformity and brightness of the brightness data are evaluated according to the preset evaluation function. If the evaluation result does not meet the preset standard, the dot (121) distribution parameters, microstructure (122) parameters, first prism sheet layer (142) parameters and second prism sheet layer (152) parameters in the optical model are updated and adjusted based on the evaluation result. The repeated parameter update and adjustment steps are carried out iteratively using the optical model as a carrier until the uniformity change is less than a preset threshold or the preset upper limit of the number of iterations is reached, and then the iteration stops. The dot distribution parameters and microstructure parameters are extracted from the adjusted optical model as the design results and output.

2. The backlight panel design method based on algorithm optimization as described in claim 1, characterized in that, The preset evaluation function is: in, This is a comprehensive evaluation score for optical performance, ranging from 0 to 1. The value is positively correlated with the optical performance. These are weighting coefficients, all of which are positive and satisfy the following conditions: Allows adjustment of weight priority based on application scenario. It is the average brightness of the entire light-emitting surface. It is the preset target average brightness. It is the coefficient of variation, the ratio of the standard deviation to the mean. Standard deviation , It is the first The brightness value of a pixel or test point.

3. The backlight panel design method based on algorithm optimization as described in claim 1, characterized in that, The adjustments to the distribution parameters of the network points (121) include: Maintain the dot matrix (121) evenly distributed along the first axis with constant spacing; The dots (121) are arranged non-uniformly along the second axis using a power-law gradient. Linear scanning optimization is performed on the diameter of the dot (121).

4. The backlight panel design method based on algorithm optimization as described in claim 1, characterized in that, The adjustments to the parameters of the microstructure (122) include: Linear sweep optimization was performed on the apex corner of the microstructure (122); The length of the waist is calculated in conjunction with the constant height of the prism.

5. The backlight panel design method based on algorithm optimization as described in claim 1, characterized in that, The adjustments to the parameters of the first prism sheet layer (142) and the second prism sheet layer (152) include: Linear scan optimization is performed on the prism apex angle of the first prism sheet layer (142), and the waist length is calculated based on the constant first prism height. Linear scan optimization is performed on the prism apex angle of the second prism sheet layer (152), and the waist length is calculated based on the constant second prism height.

6. The backlight panel design method based on algorithm optimization as described in claim 1, characterized in that, The setting angle of the microstructure (122) is based on the main structure of the light guide layer (12). The setting angle of the first prism sheet layer (142) is perpendicular to the microstructure (122). The setting angle of the second prism sheet layer (152) is perpendicular to the first prism sheet layer (142). The prism extension directions of the three are perpendicular to each other.

7. The backlight panel design method based on algorithm optimization as described in claim 1, characterized in that, The method further includes: Cooperative optimization of the Z-axis extension orientation of the dots (121), microstructures (122), first prism sheet layer (142) and second prism sheet layer (152), with each structure orientation corresponding to the extension along the positive or negative Z-axis direction respectively; By iterating through different orientation combinations and repeatedly performing parameter update and adjustment steps for each combination, the optical performance indicators corresponding to each combination are recorded, and the orientation combination with the best optical performance is selected as the design result for output.

8. A backlight panel design device based on algorithm optimization, characterized in that, The algorithm-optimized backlight design device includes: a memory, a processor, and an algorithm-optimized backlight design program stored in the memory and executable on the processor, wherein the algorithm-optimized backlight design program is configured to implement the steps of the algorithm-optimized backlight design method as described in any one of claims 1 to 7.

9. A storage medium, characterized in that, The storage medium stores an algorithm-optimized backlight design program, which, when executed by a processor, implements the steps of the algorithm-optimized backlight design method as described in any one of claims 1 to 7.

10. A computer program product, characterized in that, The computer program product stores an algorithm-optimized backlight design program, which, when executed by a processor, implements the steps of the algorithm-optimized backlight design method as described in any one of claims 1 to 7.

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