Method for Controlling Characteristics of Optical Translucent Textured Film

Abstract

The present invention relates to the technical field of optical thin film manufacturing, and discloses a method for controlling the characteristics of an optical transparent texture film. The method first determines the light intensity fluctuation range and the total distribution range of the light source, and then determines the film thickness configuration of the candidate texture configuration points according to the target light transmittance requirement. Next, based on the film thickness configuration and the target light transmittance, alternative texture configuration points are selected, and the single-day processing total cost of each of them with respect to the associated light source is calculated to determine the target texture configuration points. Furthermore, the final texture configuration scheme is determined according to the processing cost. In addition, auxiliary coatings are screened according to the film thickness configuration. This method effectively solves the problems in the prior art such as unstable light intensity control, difficulty in adapting the film thickness to the texture configuration, poor cost control, and unreasonable selection of auxiliary coatings, and can accurately control the characteristics of the optical transparent texture film, reduce production costs, and improve product quality and market competitiveness.

Description

Technical Field

[0001] The present invention relates to the technical field of optical thin film manufacturing, and specifically to a method for controlling the characteristics of an optical transparent texture film. Background Art

[0002] In the field of modern optical technology, as a key component, the optical transparent texture film is widely used in many fields, such as liquid crystal displays (LCDs), organic light-emitting diode displays (OLEDs), solar panels, and optical instruments. Its performance directly affects the final performance of related products. For example, in display devices, characteristics such as the light transmittance and surface roughness of the optical transparent texture film significantly affect the clarity, color reproduction, and viewing angle of images; in the field of solar panels, these characteristics are related to the light capture efficiency and conversion efficiency.

[0003] Currently, the manufacturing of optical transparent texture films faces many challenges. In terms of light intensity control, the unstable light intensity distribution of the light source is a major problem. During the operation of multiple light sources, due to factors such as equipment aging and power supply fluctuations, the light intensity will fluctuate, and the fluctuation conditions of different light sources are different. This makes it difficult to design and manufacture the film layer based on stable light intensity parameters during the manufacturing of optical transparent texture films, thereby affecting the optical performance consistency of the film. For example, if the light intensity fluctuates too much, it will cause uneven refraction and transmission effects of the film layer on light, resulting in uneven brightness and darkness in the display screen.

[0004] There are also problems with the adaptation of the film layer thickness and texture configuration. Different texture densities have different compatibilities with the material surface, that is, the surface roughness parameters will change with the change of texture density. And to determine the film layer thickness required to meet the target light transmittance, the surface roughness corresponding to the texture configuration points needs to be accurately considered. However, the existing technology lacks a systematic and effective method to accurately match the film layer thickness and texture configuration. In actual production, adjustments are often made tentatively based on experience, which not only consumes a large amount of manpower, material resources, and time, but also makes it difficult to ensure that each film produced can achieve the ideal light transmittance and other performance indicators, resulting in unstable product quality and a high defective rate.

[0005] Cost control is also an important factor restricting the development of optical light-transmitting texture films. The manufacturing process involves multiple cost aspects, including light source calibration costs, material consumption costs, and equipment depreciation costs, etc. Currently, when calculating the total daily processing cost, there is a lack of a comprehensive and accurate calculation model, and the correlations and impacts among various cost factors cannot be fully considered. For example, when selecting the material supply node, the positioning error of the material and the matching degree between the batch specifications and the manufacturing requirements of the texture film are not comprehensively considered, resulting in an increase in material supply costs, and at the same time, it may also affect the processing accuracy and quality of the film. In addition, when determining the final texture configuration plan, the relationship between meeting the light transmittance standard and the cost is not fully weighed, making the product have too high a cost while meeting the performance requirements and lacking market competitiveness.

[0006] In terms of the selection of the auxiliary coating, there are also deficiencies in the existing technology. The auxiliary coating plays an important role in improving the anti-reflection performance of the optical light-transmitting texture film, etc. However, during the selection process, only partial performance parameters of the coating are often concerned, such as the anti-reflection layer configuration parameters, while ignoring the position adaptability between the coating and the target texture configuration points and the comprehensive performance of the coating itself. This may lead to poor bonding between the coating and the texture film, affecting the overall performance of the film, such as problems like coating peeling off and unstable anti-reflection effects. Summary of the Invention

[0007] The purpose of the present invention is to provide a method for controlling the characteristics of an optical light-transmitting texture film to solve the problems raised in the above-mentioned background technology.

[0008] To achieve the above purpose, the present invention provides the following technical solution: A method for controlling the characteristics of an optical light-transmitting texture film, the method comprising:

[0009] Based on the light intensity distribution parameters of multiple light sources within a set control period, determine the light intensity fluctuation range corresponding to each of the light sources, and summarize the total light intensity distribution range corresponding to the multiple light sources;

[0010] After determining the film layer thickness requirements for meeting the target light transmittance, determine the film layer thickness configuration adapted to each candidate texture configuration point under the corresponding surface roughness parameter, wherein the surface roughness parameter is used to characterize the compatibility of the material surface in the target area with different texture densities, and the film layer thickness configuration is determined according to the number of film layer superpositions associated with the candidate texture configuration point;

[0011] Based on the film layer thickness configuration and the target light transmittance requirements, select at least one alternative texture configuration point from multiple candidate texture configuration points, and after calculating the total daily processing cost corresponding to the alternative texture configuration point and the associated multiple light sources, select the target texture configuration point from at least one of the alternative texture configuration points at least according to the total daily processing cost to obtain the texture configuration result;

[0012] Determine the final texture configuration plan according to the processing cost corresponding to each of the alternative texture configuration points and the total daily processing cost.

[0013] Preferably, the texture configuration result includes all the selected target texture configuration points, the film layer thickness configuration and the stacking position of each target texture configuration point under the target surface roughness parameters.

[0014] Preferably, the determining the final texture configuration plan according to the processing cost corresponding to each of the alternative texture configuration points and the total daily processing cost includes:

[0015] Obtain a preset light transmittance compliance threshold, where the threshold is used to determine whether the light transmittance of the target texture configuration point meets the multi-light source cooperation requirements;

[0016] Based on the light transmittance compliance threshold, calculate the total light transmittance deviation value of each combination of alternative texture configuration points, and select the combination with the smallest deviation value as the final texture configuration plan, where the combination is generated by traversing all the arrangement ways of the alternative texture configuration points;

[0017] Preferably, the calculating the total daily processing cost corresponding to each alternative texture configuration point and a plurality of associated light sources includes:

[0018] Determine the film layer calibration cost of a single light source according to the position deviation between each light source and the corresponding alternative texture configuration point, and sum up the calibration costs of all light sources to obtain the total calibration cost;

[0019] Based on the number of film layer stacking corresponding to the candidate texture configuration point, determine the material consumption cost of each layer of stacking;

[0020] Add the total calibration cost, the material consumption cost and the equipment depreciation cost to obtain the total daily processing cost;

[0021] Preferably, the selecting the target texture configuration points from at least one of the alternative texture configuration points according to at least the total daily processing cost includes:

[0022] Determine the film layer positioning accuracy and the material batch specification according to the calibration parameters required for each alternative texture configuration point, and select the node with the smallest positioning error and meeting the batch specification from a plurality of candidate material supply nodes as the target material node;

[0023] Calculate the material supply cost based on the positioning error and the batch matching degree, and stack it with the total daily processing cost to generate a comprehensive cost;

[0024] Select the target texture configuration points in ascending order of the comprehensive cost, and the total cost does not exceed the preset budget threshold.

[0025] Preferably, determining the film layer thickness configuration specifically includes:

[0026] Retrieve the texture parameter comparison table, where the comparison table includes surface roughness parameters, the number of film layer superpositions, the distance from the reference point of the target area, and the mapping relationship among the three;

[0027] According to the position information of the candidate texture configuration points, calculate their actual distances from the reference point, and query the number of film layer superpositions that match in the comparison table;

[0028] Generate the film layer thickness configuration based on the number of superpositions;

[0029] Preferably, based on the film layer thickness configuration and the target light transmittance requirement, selecting at least one alternative texture configuration point from multiple candidate texture configuration points includes:

[0030] Calculate the light transmittance compliance probability of each candidate texture configuration point under different surface roughness parameters;

[0031] Screen the candidate points with a compliance probability higher than the preset threshold, and generate candidate combinations based on their surface compatibility parameters;

[0032] Select the candidate combination with the highest combination compatibility score as the alternative texture configuration point;

[0033] Preferably, after obtaining the texture configuration result, the method further includes:

[0034] Obtain the second target information of multiple candidate auxiliary coatings, where the information includes coating position parameters and antireflection layer configuration parameters;

[0035] According to the film layer thickness configuration of each target texture configuration point, determine the corresponding antireflection layer superposition requirement;

[0036] Based on the superposition requirement and the configuration parameters of the candidate coatings, screen the alternative coatings that meet the antireflection performance;

[0037] Calculate the position fitness of the alternative coatings with the target texture configuration points, and select the coating with the highest fitness as the final auxiliary coating;

[0038] Preferably, the selecting the coating with the highest fitness as the final auxiliary coating includes:

[0039] Generate a coating performance score according to the refractive index deviation range and adhesion parameters of the coating;

[0040] Perform a weighted sum of the performance score and the position fitness to obtain a comprehensive fitness value;

[0041] Select the candidate coating with the highest comprehensive fitness value as the final auxiliary coating;

[0042] Preferably, the present invention further includes a storage medium storing a computer program, wherein the program, when executed by a processor, implements any one of the above-mentioned methods for controlling the characteristics of the optically transmissive textured film.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] In terms of the relationship between light intensity control and film design, by determining the light intensity fluctuation range of each light source and summarizing the total light intensity distribution range based on the light intensity distribution parameters of multiple light sources within a set control cycle, an accurate light intensity data foundation is provided for subsequent film design. This allows the impact of light intensity fluctuations on the optical properties of the film to be fully considered when manufacturing optically transparent textured films, effectively avoiding the problem of inconsistent optical properties of the film due to unstable light intensity. For example, in the manufacture of optically transparent textured films for display devices, it is possible to ensure that the film has a uniform refraction and transmission effect on light, thereby improving the clarity and color reproduction of the displayed image, avoiding uneven brightness and darkness, and enhancing the user's visual experience.

[0045] In terms of matching film thickness and texture configuration, this method determines the film thickness required to meet the target transmittance, and then determines the appropriate film thickness configuration based on the surface roughness parameters of the candidate texture configuration points. This process uses a texture parameter comparison table to accurately query the number of film stacking layers based on the distance between the candidate texture configuration point and the reference point, and then generates the film thickness configuration. This precise matching method abandons the traditional empirical trial adjustment and greatly improves the adaptation accuracy of the film thickness and texture configuration. In actual production, it can effectively ensure that each optically transparent texture film produced can achieve the ideal transmittance and other performance indicators, reduce product defective rate, improve production efficiency, reduce resource waste caused by unqualified products, and reduce production costs.

[0046] In terms of cost control, this method is comprehensive and accurate when calculating the total daily processing cost. By determining the single-light-source film layer calibration cost according to the position deviation between the light source and the alternative texture configuration points, the total calibration cost is summarized; the material consumption cost is determined based on the number of film layer superpositions at the candidate texture configuration points; and together with the equipment depreciation cost, the comprehensive and accurate total daily processing cost is obtained. When selecting the target texture configuration point, comprehensively considering the film layer positioning accuracy determined by the calibration parameters and the material batch specifications, the material supply node with the smallest positioning error and meeting the batch specifications is selected, the material supply cost is calculated and superimposed with the total daily processing cost to generate the comprehensive cost, and the target texture configuration point is selected from low to high according to the comprehensive cost without exceeding the preset budget threshold. This cost control method can effectively reduce production costs and improve the market competitiveness of products on the premise of ensuring product performance. For example, in the large-scale production of optical light-transmitting texture films, through accurate cost calculation and reasonable material node selection, the cost expenditure in the production process can be significantly reduced, bringing greater economic benefits to the enterprise.

[0047] When determining the final texture configuration scheme, obtain the preset light transmittance compliance threshold, calculate the total light transmittance deviation values of each alternative texture configuration point combination, and select the combination with the smallest deviation value as the final scheme. This method ensures that the product light transmittance meets the multi-light-source collaborative requirements while fully considering cost factors, achieving a balance between performance and cost. Compared with traditional methods, it not only ensures product quality but also optimizes the cost structure, making the product more competitive in the market.

[0048] In terms of the selection of the auxiliary coating, obtain various information of the candidate auxiliary coatings, determine the anti-reflection layer superposition requirements according to the film layer thickness of the target texture configuration point, screen the alternative coatings that meet the anti-reflection performance, and calculate their position adaptability with the target texture configuration point, and select the coating with the highest adaptability as the final auxiliary coating. During the selection process, comprehensively consider the refractive index deviation range and adhesion parameters of the coating to generate a performance score, and perform weighted summation with the position adaptability to obtain the comprehensive adaptability value, and select the one with the highest comprehensive adaptability value as the final choice. This method ensures a good combination of the auxiliary coating and the texture film, effectively improves the overall performance such as the anti-reflection performance of the optical light-transmitting texture film, avoids problems such as coating peeling and unstable anti-reflection effect, extends the product service life, and further improves product quality. Description of the Drawings

[0049] Figure 1 It is the working principle diagram of the characteristic control method for the optical light-transmitting texture film described in the present invention;

[0050] Figure 2 It is the working principle diagram of the texture configuration combination screening method for minimizing the light transmittance deviation;

[0051] Figure 3Schematic diagram of the working principle of the method for selecting texture configuration points based on comprehensive cost

[0052] Figure 4 Schematic diagram of the working principle of the method for screening texture configuration points based on surface roughness

[0053] Figure 5 Schematic diagram of the working principle of the method for optimizing the adaptation of the auxiliary coating to the texture configuration points Specific implementation manners

[0054] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0055] Please refer to Figures 1 - 5 , the present invention provides a method for controlling the characteristics of an optical transparent texture film, and the specific implementation steps are as follows:

[0056] Based on the light intensity distribution parameters of multiple light sources within a set control period, determine the light intensity fluctuation range corresponding to each of the light sources, and summarize the total light intensity distribution range corresponding to the multiple light sources. In actual operation, a professional light intensity monitoring device is used to monitor multiple light sources in real time to obtain the light intensity data of each light source at different time points within the control period. These data reflect the light intensity change situation of the light source during operation. Through data analysis and processing, determine the light intensity fluctuation range of each light source, such as the interval between the lowest light intensity value and the highest light intensity value. Then, summarize the light intensity fluctuation ranges of all light sources to obtain the total light intensity distribution range, which provides important basic data on the lighting conditions for subsequent texture film characteristic control.

[0057] After determining the film layer thickness requirement to meet the target light transmittance, determine the film layer thickness configuration adapted to each candidate texture configuration point under the corresponding surface roughness parameter. Here, the surface roughness parameter is used to characterize the compatibility of the material surface in the target area with different texture densities, and the film layer thickness configuration is determined according to the number of film layer superpositions associated with the candidate texture configuration point. When determining the film layer thickness required for the target light transmittance, a large amount of experimental data and theoretical models are referred to, and calculations are performed in combination with the material characteristics of the texture film and the expected optical performance requirements. For each candidate texture configuration point, according to the surface roughness parameter at its location, use the existing data correlation relationship to determine the number of film layer superpositions adapted to it, and then obtain the film layer thickness configuration.

[0058] Based on the film layer thickness configuration and the target light transmittance requirement, select at least one alternative texture configuration point from multiple candidate texture configuration points. After calculating the total daily processing cost corresponding to the alternative texture configuration point and multiple associated light sources, select the target texture configuration point from at least one alternative texture configuration point at least according to the total daily processing cost to obtain the texture configuration result. When selecting alternative texture configuration points, the matching degree between the film layer thickness configuration and the target light transmittance requirement will be comprehensively considered to screen out the points that initially meet the conditions. When calculating the total daily processing cost, multiple cost factors will be involved, such as film layer calibration cost, material consumption cost, and equipment depreciation cost, etc. Through the comprehensive calculation of these costs, the total daily processing cost of each alternative texture configuration point is obtained. Then, according to the total daily processing cost and combined with other relevant factors, select the target texture configuration point from the alternative texture configuration points to determine the texture configuration result.

[0059] Determine the final texture configuration plan according to the processing cost corresponding to each alternative texture configuration point and the total daily processing cost. When determining the final texture configuration plan, the processing cost and the total daily processing cost of each alternative texture configuration point will be comprehensively considered. Through specific calculation methods and evaluation criteria, different alternative plans will be compared and analyzed, and finally the optimal texture configuration plan will be determined.

[0060] The technical solution of the present invention will be further described in detail through 5 embodiments as follows:

[0061] Embodiment 1: When determining the film layer thickness configuration adapted to each candidate texture configuration point under the corresponding surface roughness parameter, the specific operation is as follows: Retrieve the texture parameter comparison table, which includes surface roughness parameters, film layer stacking layers, distance from the reference point of the target area, and the mapping relationship among the three. According to the position information of the candidate texture configuration point, use technical means such as coordinate measurement to calculate its actual distance from the reference point. Then, substitute this actual distance into the texture parameter comparison table to query the matching film layer stacking layers. For example, through measurement, the distance between a certain candidate texture configuration point and the reference point is [X], and the film layer stacking layer corresponding to this distance is found to be [N] in the comparison table. Generate the film layer thickness configuration based on this stacking layer, that is, determine the final film layer thickness configuration according to the characteristics of the film layer material and the known thickness standard of each layer of the film. This process ensures that each candidate texture configuration point can obtain a suitable film layer thickness configuration according to the characteristics of its location, providing a basic guarantee for meeting the target light transmittance requirement in the follow-up.

[0062] In actual production of the optical light-transmitting texture film, assume that the produced texture film is applied to a certain new type of electronic display screen, and this display screen has relatively high requirements for the optical performance and surface quality of the texture film.

[0063] Before production, a large amount of basic data on the texture film has been obtained, and a texture parameter comparison table has been made. This comparison table covers the mapping relationships between various surface roughness parameters, different numbers of film layer superpositions, and the distances from the reference points in the target area. For example, the surface roughness parameters are divided into different levels such as Ra0.1 - Ra0.5μm, the number of film layer superpositions ranges from 1 layer to 10 layers, and the distance range from the reference point is divided according to the actual production area.

[0064] Now, start to determine the film layer thickness configuration suitable for each candidate texture configuration point under the corresponding surface roughness parameter. First, use a high-precision position measurement instrument to obtain the position information of the candidate texture configuration point. Assume that the coordinates of one candidate texture configuration point A are (x1, y1), and the coordinates of the reference point in the target area are (0, 0). Using the distance formula between two points, calculate the actual distance d1 between point A and the reference point.

[0065] Substitute the distance d1 into the texture parameter comparison table for query. Assume that the query result shows that when the distance is d1, the corresponding number of film layer superpositions is 5 layers.

[0066] Generate the film layer thickness configuration based on these 5 layers of superpositions. Given that the standard thickness of each layer of this texture film is t (predetermined according to the characteristics of the film material and the production process), then the film layer thickness configuration suitable for the candidate texture configuration point A is 5t. In actual production, the operator will accurately perform the film layer superposition operation according to this film layer thickness configuration to ensure that the texture film at this position meets the subsequent optical performance and other quality requirements.

[0067] When determining another candidate texture configuration point B, first obtain its position information in the same way and calculate the distance d2 from the reference point. After querying the texture parameter comparison table, the corresponding number of film layer superpositions is obtained as 3 layers, so the film layer thickness configuration of point B is 3t.

[0068] In this way, all candidate texture configuration points are processed one by one. According to their respective distances from the reference point, obtain the corresponding number of film layer superpositions from the texture parameter comparison table, and then generate the suitable film layer thickness configuration, providing crucial basic data and operation basis for meeting the target light transmittance requirements and the production and manufacturing of the entire texture film.

[0069] Embodiment 2: Based on the film layer thickness configuration and the target light transmittance requirements, the process of selecting at least one alternative texture configuration point from multiple candidate texture configuration points is as follows: Under different surface roughness parameters, calculate the light transmittance compliance probability of each candidate texture configuration point through optical simulation software or actual light transmittance testing equipment. For example, for candidate texture configuration points with different surface roughnesses, simulate or test the light transmittance under the set light source conditions respectively, and count the probability of reaching the target light transmittance. Screen the candidate points with a compliance probability higher than the preset threshold. Assume the preset threshold is [P], and select the candidate points with a compliance probability greater than [P]. Then, based on the surface compatibility parameters of these candidate points, such as surface energy, texture distribution uniformity, etc., generate candidate combinations. Conduct a compatibility score for each candidate combination. The scoring criteria can include the tightness of the combination between the texture and the film layer, the comprehensive evaluation of the light scattering and refraction effects, etc. Select the candidate combination with the highest combination compatibility score as the alternative texture configuration point. This can ensure that the selected alternative texture configuration point has good surface compatibility while meeting the light transmittance requirements, which is beneficial to improving the overall performance of the textured film.

[0070] Suppose it is required to produce an optical light-transmitting textured film for a high-end photographic lens. This textured film needs to have a specific light transmittance to ensure the imaging quality of the lens. The imaging area of the lens is divided into multiple regions, and each region has different candidate texture configuration points.

[0071] Under different surface roughness parameters, calculate the light transmittance compliance probability of each candidate texture configuration point. For the candidate texture configuration point in the central part of the imaging area, since the light transmittance requirement is extremely high, its surface roughness parameter is set to Ra0.1μm. Use professional optical simulation software to input the light source characteristics of this area (such as the spectral distribution and light intensity of the light source) and the relevant parameters of the candidate texture configuration point (including texture shape, size, distribution, etc.). The simulation software predicts the light transmittance of this candidate texture configuration point under the current surface roughness through complex optical calculations. After multiple simulation calculations, it is statistically found that the probability of this candidate texture configuration point reaching the target light transmittance (assuming the target light transmittance is 95%) is 80%.

[0072] For the candidate texture configuration point in the edge part of the imaging area, considering that the light refraction and scattering in the edge part are different from those in the central part, its surface roughness parameter is set to Ra0.3μm. Similarly, use optical simulation software for calculation, and the probability of this candidate texture configuration point reaching the target light transmittance is obtained as 60%. Similar calculations and statistics are performed on all candidate texture configuration points to obtain a series of light transmittance compliance probability data.

[0073] Select candidate points with a passing probability higher than a preset threshold. Assuming the preset threshold is 70%, the candidate texture configuration point with a passing probability of 80% in the central part of the imaging area is selected, while the candidate texture configuration point with a passing probability of 60% in the edge part is excluded. Generate candidate combinations based on the surface compatibility parameters of the selected candidate points. For example, there are two selected candidate texture configuration points. One candidate point has a relatively uniform texture distribution and moderate surface energy; the other candidate point has a certain texture directionality and slightly higher surface energy. Combine these two candidate points to form a candidate combination. During the combination process, consider factors such as whether their texture features conflict with each other and whether the surface energy difference will affect the overall stability of the film layer.

[0074] Perform a compatibility score on the generated candidate combinations. When scoring, comprehensively consider multiple factors, such as the synergistic effect of the texture, the comprehensive evaluation of the light scattering and refraction effects, etc. For the candidate combination composed of the above two candidate points, if their textures can complement each other, making the light distribute more evenly when passing through the texture film and not generating excessive scattering loss, then a higher score can be obtained in terms of the texture synergistic effect. At the same time, through the simulation analysis of the light scattering and refraction effects, if the combination can make the propagation direction of the light more in line with the optical design requirements of the lens, a higher score can also be obtained. Weight and sum these scores according to a certain weight to obtain the compatibility score of the candidate combination.

[0075] Select the candidate combination with the highest combination compatibility score as the alternative texture configuration point. Suppose there are multiple candidate combinations participating in the scoring. After calculation and comparison, one of the candidate combinations performs optimally in the compatibility score, then this candidate combination is determined as the alternative texture configuration point, providing a suitable texture configuration choice for the subsequent production of the texture film to meet the strict requirements of high-end photographic lenses for optically transparent texture films.

[0076] Example 3: The specific steps to calculate the total daily processing cost corresponding to multiple associated light sources and alternative texture configuration points are as follows: Obtain deviation data using a positioning detection device based on the position deviation between each light source and the corresponding alternative texture configuration point. By analyzing this data, determine the film layer calibration cost for a single light source. For example, based on the deviation magnitude, determine cost factors such as the labor hours required for calibration and the consumption of calibration materials. Summarize the calibration costs of all light sources to obtain the total calibration cost. Based on the number of film layer superposition layers corresponding to the candidate texture configuration point, combined with the unit price and usage amount of each layer of film material, determine the material consumption cost for each layer of superposition. At the same time, consider factors such as the service life and purchase price of the equipment to calculate the equipment depreciation cost. Finally, add the total calibration cost, material consumption cost, and equipment depreciation cost to obtain the total daily processing cost. Through such a detailed cost calculation process, the daily processing cost of each alternative texture configuration point can be accurately evaluated, providing a reliable cost basis for subsequent selection of the target texture configuration point.

[0077] Suppose an optical material manufacturing enterprise is producing an optical light-transmitting texture film for high-end projectors. This texture film has extremely high requirements for light transmittance and uniformity, and precise control of texture and film layer parameters under multiple light sources is required to achieve the best projection effect. During the production process, it involves calculating the total daily processing cost corresponding to multiple associated light sources and alternative texture configuration points.

[0078] The projector uses 3 different types of light sources, namely Light Source A, Light Source B, and Light Source C. Their positions in the projection system are different, and the illumination angles and intensities on the texture film also vary. Multiple candidate texture configuration points are set within the production area to meet the optical performance requirements of different regions. Here, one of the candidate texture configuration points, P, is selected for a cost calculation example.

[0079] Calculate the film layer calibration cost for a single light source, determined based on the position deviation between each light source and the corresponding alternative texture configuration point. Use a high-precision positioning detection device to measure the position deviation between Light Source A and the candidate texture configuration point P. Assume that through device measurement, the deviation of Light Source A in the horizontal direction is , and the deviation in the vertical direction is , and the comprehensive position deviation value ( represents the comprehensive position deviation value between Light Source A and the candidate texture configuration point P, represents the deviation of Light Source A from the candidate texture configuration point P in the horizontal direction, represents the deviation of Light Source A from the candidate texture configuration point P in the vertical direction). It is known that the calibration cost per unit position deviation is ( is the calibration cost per unit position deviation, with the unit being yuan / unit deviation), then the film layer calibration cost of Light Source A Similarly, the comprehensive position deviation values of light sources B and C are calculated. , , and the corresponding film layer calibration costs , . The total calibration cost .

[0080] Determine the material consumption cost for each layer of stacking. Through preliminary experiments and analysis, it is determined that the number of film layer stacks corresponding to the candidate texture configuration point P is 5 layers. Given that the unit price of each layer of material for this texture film is yuan ( is the unit price of each layer of film material, with the unit being yuan / layer), and the fixed usage amount of materials required for each layer is ( is the fixed usage amount of each layer of film material, and the unit depends on the material measurement method, such as grams, milliliters, etc.), then the material consumption cost for each layer of stacking , and the total material consumption cost for 5 layers .

[0081] Next, calculate the equipment depreciation cost. Assume that the purchase price of the equipment used to produce this texture film is yuan, the expected service life of the equipment is days, and the daily usage time of the equipment is hours (assuming a fixed daily usage time of 8 hours), then the daily depreciation cost of the equipment (here the daily working hours of the equipment are the same, can be cancelled out, and the simplified calculation is ).

[0082] Finally, add the total calibration cost, material consumption cost, and equipment depreciation cost to obtain the total daily processing cost . Through such a detailed calculation process, the total daily processing cost corresponding to each alternative texture configuration point and the associated light source can be accurately obtained, providing an accurate cost basis for subsequent selection of the target texture configuration point, and helping the enterprise to effectively control production costs while ensuring product quality.

[0083] Example 4: The specific operation of selecting the target texture configuration point from at least one alternative texture configuration point according to at least the total daily processing cost is as follows: According to the calibration parameters required for each alternative texture configuration point, use the precision detection equipment to determine the film layer positioning accuracy and clarify the required material batch specifications. From multiple candidate material supply nodes, by comparing the positioning error data of the materials provided by each node and whether they meet the batch specification requirements, select the node with the smallest positioning error and meeting the batch specifications as the target material node. Calculate the material supply cost based on the positioning error and batch matching degree. For example, determine the additional transportation and adjustment costs according to the size of the positioning error, and determine the purchase price adjustment coefficient according to the batch matching degree, etc. Superimpose the material supply cost and the total daily processing cost to generate the comprehensive cost. Select the target texture configuration point in ascending order of the comprehensive cost, while ensuring that the total cost does not exceed the preset budget threshold. In this way, when selecting the target texture configuration point, not only the processing cost is considered, but also the factors in material supply are taken into account, ensuring that the selection result has high feasibility and economy within the cost control range.

[0084] Suppose an optical component manufacturing company plans to produce a batch of optical transmissive texture films for high-definition display devices. During the production process, there are multiple alternative texture configuration points, and the company needs to select the target texture configuration point from them to ensure that the produced texture film meets the optical performance requirements and the cost is controllable.

[0085] At the production site, there are multiple high-precision calibration devices to measure the calibration parameters required for each alternative texture configuration point. For example, the calibration parameters of alternative texture configuration point A show that its film layer positioning accuracy requirement is within ±0.05 mm, and at the same time, according to the production process and product quality standards, the required material batch specification is a specific material model, and the within-batch uniformity requirement of this model of material is relatively high.

[0086] The company has 5 candidate material supply nodes, namely Supplier A, B, C, D, and E. By communicating with each supplier and detecting the material samples provided by them, obtain the positioning error data of the materials of each supplier. The positioning error of the materials provided by Supplier A is within ±0.03 mm, Supplier B is ±0.04 mm, Supplier C is ±0.06 mm, Supplier D is ±0.07 mm, and Supplier E is ±0.05 mm. By comparing these data and the material batch specification requirements, it is found that the materials provided by Supplier A not only have the smallest positioning error but also fully meet the required material batch specifications. Therefore, Supplier A is determined as the target material node.

[0087] Calculate the material supply cost. The material supply cost is related to the positioning error and batch matching degree. Regarding the positioning error, it is assumed that for every ±0.01 mm exceeding the allowable positioning error range, the transportation and adjustment costs will increase by 500 yuan. The positioning error of Supplier A is within the allowable range, so the additional cost in this part is 0 yuan. Regarding the batch matching degree, if the material batch specifications are completely matched, the purchase price is the standard price; for every item of mismatch, the purchase price needs to be increased by 10%. Since the material batch specifications of Supplier A are completely matched, there is no increase in cost in terms of batch matching degree. After comprehensive calculation, the material supply cost of Supplier A is the standard purchase price. Assuming the standard purchase price is 1000 yuan per unit of material, according to the total amount of materials required for production (assumed to be 100 units), the material supply cost is 1000×100 = 100000 yuan.

[0088] After calculating the material supply cost, superimpose it on the total daily processing cost to generate the comprehensive cost. Assuming that through a similar calculation method as in Example 3 before, the total daily processing cost of the alternative texture configuration point A is 50000 yuan, then the comprehensive cost is 100000 + 50000 = 150000 yuan.

[0089] Perform similar calculations for all alternative texture configuration points and arrange them in ascending order of comprehensive cost. Assuming that the budget threshold preset by the company is 200000 yuan, after sorting, preferentially select the alternative texture configuration points with comprehensive costs not exceeding this budget threshold and lower costs as the target texture configuration points. If the comprehensive cost of the alternative texture configuration point A is at a relatively low level among all alternative points and does not exceed the budget threshold, then select the alternative texture configuration point A as the target texture configuration point. In this way, when the company selects the target texture configuration point, it fully considers the processing cost and material supply cost to ensure the maximization of production benefits within the budget and produce an optical light-transmitting texture film that not only meets the optical performance requirements but also has cost competitiveness.

[0090] Example 5: After obtaining the texture configuration result, the specific steps to determine the final auxiliary coating are as follows: Obtain the second target information of multiple candidate auxiliary coatings, including coating position parameters and antireflection layer configuration parameters. According to the film thickness configuration of each target texture configuration point, combined with the optical principle and antireflection performance requirements, determine the corresponding antireflection layer stacking requirements. Based on the stacking requirements and the configuration parameters of the candidate coatings, screen the alternative coatings that meet the antireflection performance. During the screening process, compare the matching degree of parameters such as the antireflection layer thickness and refractive index of the candidate coatings with the antireflection layer stacking requirements. Calculate the position fitness of the alternative coatings with the target texture configuration points. For example, determine the position fitness by calculating indicators such as the fitting area ratio between the coating and the texture film surface and the edge alignment degree. Generate a coating performance score according to the refractive index deviation range and adhesion parameters of the coating. The scoring method can adopt weighted average and other methods. Weighted sum the performance score and the position fitness to obtain a comprehensive fitness value. Select the candidate coating with the highest comprehensive fitness value as the final auxiliary coating, which can ensure that the auxiliary coating and the texture film reach the best state in terms of optical performance and position fitness, and further improve the overall performance of the optical transparent texture film.

[0091] Suppose an enterprise specializing in the production of optical lenses is developing a new type of high-definition optical lens, which requires the use of an optical transparent texture film to optimize its optical performance. After determining the texture configuration result of the texture film, a suitable auxiliary coating needs to be selected for it.

[0092] The enterprise has prepared 5 different candidate auxiliary coatings, labeled as Coating A, Coating B, Coating C, Coating D, and Coating E. Each coating has its specific coating position parameters and antireflection layer configuration parameters. For example, the coating position parameters of Coating A indicate that it is suitable for covering a specific area of the texture film, and its antireflection layer configuration parameters show that the thickness of the antireflection layer is 50 nanometers and the refractive index is 1.38; the antireflection layer of Coating B has a thickness of 60 nanometers and a refractive index of 1.40, and the position parameters are also set accordingly. The same applies to other coatings.

[0093] According to the determined texture configuration result, assume that the film thickness configuration corresponding to one of the target texture configuration points is 100 nanometers. Based on the optical principle, in order to achieve the best antireflection effect, it is calculated that the antireflection layer stacking requirement at this position is an antireflection layer thickness of about 55 nanometers and a refractive index between 1.35 - 1.40.

[0094] Based on this superposition requirement and the configuration parameters of the candidate coatings, the selection of alternative coatings that meet the anti-reflection performance begins. The anti-reflection layer thickness and refractive index of each candidate coating are compared with the requirements. The anti-reflection layer thickness of Coating A is 50 nanometers, within the acceptable error range of about 55 nanometers, and the refractive index of 1.38 is between 1.35 and 1.40, so Coating A meets the requirements; the anti-reflection layer thickness of Coating B is 60 nanometers, which exceeds the acceptable range and is excluded; after similar comparisons of Coatings C, D, and E, only Coating E also meets the anti-reflection performance requirements. Thus, Coatings A and E are selected as alternative coatings.

[0095] Next, calculate the position fitness of the alternative coatings with the target texture configuration points. Assume that the area where the target texture configuration points are located is the central circular area of the lens with a diameter of 20 millimeters. Through precise measurement and calculation, it is found that when Coating A covers this area, the deviation of its edge from the edge of the target area is within 0.1 millimeter, and the coverage rate reaches 98%; the edge deviation of Coating E is 0.2 millimeters, and the coverage rate is 95%. Using the edge deviation and coverage rate as evaluation indicators for position fitness, a calculation model (complicated formulas are not involved here) is established, and the calculated position fitness score of Coating A is 90 points, and the position fitness score of Coating E is 80 points.

[0096] Then, generate the coating performance scores according to the refractive index deviation range and adhesion parameters of the coatings. For Coating A, its refractive index deviation range is within the allowable range, and the adhesion reaches a high standard after testing. Considering these two factors, it is given a coating performance score of 85 points; the refractive index deviation of Coating E is slightly larger, and the adhesion is slightly weaker than that of Coating A, and it gets a coating performance score of 80 points.

[0097] The performance scores and position fitness are weighted and summed. Assume that the weight of position fitness is 0.6 and the weight of coating performance score is 0.4. Then the comprehensive fitness value of Coating A is points; the comprehensive fitness value of Coating E is points.

[0098] Comparing the comprehensive fitness values of the two alternative coatings, the comprehensive fitness value of Coating A is the highest. Therefore, Coating A is selected as the final auxiliary coating. Through such a rigorous screening process, it is ensured that the auxiliary coating and the texture film achieve the best match in terms of optical performance and position fitness, thereby effectively improving the overall performance of the optical lens.

[0099] It should be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0100] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for controlling the characteristics of an optically transparent textured film, characterized in that, Including: Based on the light intensity distribution parameters of multiple light sources within a set control period, determine the light intensity fluctuation range corresponding to each light source, and summarize the total light intensity distribution range corresponding to multiple light sources; After determining the film thickness requirement for meeting the target light transmittance, determine the film thickness configuration adapted to each candidate texture configuration point under the corresponding surface roughness parameter, where the surface roughness parameter is used to characterize the compatibility of the material surface in the target area with different texture densities, and the film thickness configuration is determined according to the number of film layers stacked associated with the candidate texture configuration point; Based on the film thickness configuration and the target light transmittance requirement, select at least one alternative texture configuration point from multiple candidate texture configuration points, and after calculating the single-day processing total cost corresponding to the alternative texture configuration point and the associated multiple light sources, select the target texture configuration point from at least one alternative texture configuration point at least according to the single-day processing total cost to obtain the texture configuration result; Determine the final texture configuration plan according to the processing cost corresponding to each alternative texture configuration point and the single-day processing total cost; The calculating the single-day processing total cost corresponding to the alternative texture configuration point and the associated multiple light sources includes: According to the position deviation between each light source and the corresponding alternative texture configuration point, determine the film calibration cost of a single light source, and summarize the calibration costs of all light sources to obtain the total calibration cost; Based on the number of film layers stacked corresponding to the candidate texture configuration point, determine the material consumption cost for each layer of stacking; Add the total calibration cost, material consumption cost, and equipment depreciation cost to obtain the single-day processing total cost.

2. The method for controlling the characteristics of the optically transparent texture film according to claim 1, wherein The texture configuration result includes all selected target texture configuration points, the film thickness configuration and stacking position of each target texture configuration point under the target surface roughness parameter.

3. The method for controlling the characteristics of the optically transparent texture film according to claim 1, characterized in that, The determining the final texture configuration plan according to the processing cost corresponding to each alternative texture configuration point and the single-day processing total cost includes: Obtain a preset light transmittance compliance threshold, where the threshold is used to determine whether the light transmittance of the target texture configuration point meets the multi-light-source collaboration requirement; Based on the light transmittance compliance threshold, calculate the total light transmittance deviation value of each combination of alternative texture configuration points, and select the combination with the smallest deviation value as the final texture configuration plan, where the combination is generated by traversing the arrangement methods of all alternative texture configuration points.

4. The method for controlling the characteristics of the optically transparent textured film according to claim 3, characterized in that, The selecting the target texture configuration point from at least one alternative texture configuration point at least according to the single-day processing total cost includes: According to the calibration parameters required for each alternative texture configuration point, determine the film layer positioning accuracy and material batch specifications, and select the node with the smallest positioning error and meeting the batch specifications as the target material node from multiple candidate material supply nodes; Calculate the material supply cost based on the positioning error and batch matching degree, and superimpose it on the single-day processing total cost to generate the comprehensive cost; Select the target texture configuration point in ascending order of the comprehensive cost, and the total cost does not exceed the preset budget threshold.

5. The method for controlling the characteristics of the optically transparent texture film according to claim 1, wherein Determining the film thickness configuration specifically includes: Retrieve the texture parameter comparison table, where the comparison table includes surface roughness parameters, the number of film layers stacked, the distance from the reference point of the target area, and the mapping relationship among the three; Calculate the actual distance from the candidate texture configuration point to the reference point according to the position information of the candidate texture configuration point, and query the matching number of film layers stacked in the comparison table; Generate the film thickness configuration based on the number of film layers stacked; 6. The method for controlling the characteristics of the optically transparent texture film according to claim 1, wherein, Selecting at least one alternative texture configuration point from multiple candidate texture configuration points based on the film thickness configuration and the target light transmittance requirement includes: Calculate the light transmittance compliance probability of each candidate texture configuration point under different surface roughness parameters; Filter out candidate points with a compliance probability higher than the preset threshold, and generate candidate combinations based on their surface compatibility parameters; Select the candidate combination with the highest combined compatibility score as the alternative texture configuration point; 7. The method for controlling the characteristics of the optically transparent textured film according to claim 1, characterized in that, After obtaining the texture configuration result, the method further includes: Obtain the second target information of multiple candidate auxiliary coatings, where the information includes coating position parameters and antireflection layer configuration parameters; Determine the corresponding antireflection layer stacking requirement according to the film thickness configuration of each target texture configuration point; [[ID=lo]]Based on the stacking requirement and the configuration parameters of the candidate coatings, filter out alternative coatings that meet the antireflection performance; Calculate the position fitness of the alternative coatings with the target texture configuration points, and select the coating with the highest fitness as the final auxiliary coating; 8. The method for controlling the characteristics of the optically transparent textured film according to claim 7, characterized in that, The selecting the coating with the highest fitness as the final auxiliary coating includes: Generate a coating performance score according to the refractive index deviation range and adhesion parameters of the coating; Perform a weighted sum of the performance score and the position fitness to obtain a comprehensive fitness value; Select the candidate coating with the highest comprehensive fitness value as the final auxiliary coating; 9. A storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements the method for controlling the characteristics of the optical light-transmitting texture film according to any one of claims 1 to 8.

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