High-haze anti-glare fingerprint-resistant eye-protecting display module and display method thereof

Abstract

The application provides an eye-protecting display module with high haze, anti-glare and anti-fingerprint functions and a display method thereof, and belongs to the technical field of photoelectric display. The method comprises the following steps: constructing an integrated micro-nano composite structure layer on the outer surface of a cover plate; precisely controlling the microstructure morphology and spatial distribution based on the integrated micro-nano composite structure layer; forming a stable protective layer on the surface of the cover plate by using a chemical bonding process; dynamically optimizing the backlight brightness parameters according to the environmental light intensity and user physiological state data, and generating personalized display modes suitable for different use scenarios; and through the design of the integrated micro-nano composite structure layer, the anti-glare and anti-fingerprint double performance of the display module is significantly improved, the image definition loss is less than 15%, and a more comfortable visual experience is brought to the user.

Description

Technical Field

[0001] This invention proposes a high-haze, anti-glare, and fingerprint-resistant eye-protection display module and its display method, belonging to the field of optoelectronic display technology. Background Technology

[0002] Current eye-protection display technology for educational tablets faces multiple challenges. Traditional solutions often employ randomized roughening or a single moth-eye structure, making it difficult to balance high haze requirements with low contrast loss, resulting in compromised image clarity. Regarding anti-fingerprint coatings, existing technologies rely on one-time chemical plating, which significantly degrades its hydrophobic properties after tens of thousands of wipes, losing its anti-fouling ability. In terms of display parameters, fixed backlight brightness cannot adapt to changes in ambient light, exacerbating user eye fatigue. Performance evaluation systems are limited to instrument measurements and lack a mechanism for providing feedback on real user visual comfort.

[0003] While basic solutions enhance wear resistance through integrated micro / nano structures, they haven't yet achieved deep integration of dynamic optimization of display parameters and human factors engineering. Existing patents mostly focus on isolated technologies such as microstructure anti-glare and AF coatings, lacking a cognitive-level architecture for light field control, self-healing, and visual closed-loop systems. This method addresses these shortcomings by innovatively integrating precision micro / nano structure control, chemical bonding self-healing processes, and dynamic light field optimization technology to form an intelligent eye-protection display system with environmental adaptability and user perception capabilities, driving a paradigm shift in eye-protection tablets from passive protection to proactive health management. Summary of the Invention

[0004] This invention provides a high-haze, anti-glare, and fingerprint-resistant eye-protection display module and its display method to solve the problems mentioned in the background art above: The present invention proposes a display method for a high-haze, anti-glare, and fingerprint-resistant eye-protection display module, the method comprising: S1. Construct an integrated micro-nano composite structure layer on the outer surface of the cover plate; S2. Based on an integrated micro-nano composite structure layer, the morphology and spatial distribution of the microstructure can be precisely controlled. S3. A stable protective layer is formed on the surface of the cover plate using a chemical bonding process; S4. Based on ambient light intensity and user physiological state data, dynamically optimize backlight brightness parameters to generate personalized display modes that adapt to different usage scenarios; S5. Through a real user visual comfort feedback system, collect and analyze the visual experience data of users during use, form a human factor verification closed loop, and continuously optimize the various performance indicators of the display module. S6. Deeply integrate key technologies to build a cognitive-level eye-protection display architecture.

[0005] This invention proposes a high-haze, anti-glare, and fingerprint-resistant eye-protection display module, the module comprising: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method described in any one of the above.

[0006] The beneficial effects of this invention are as follows: Through an integrated micro-nano composite structure layer design, the anti-glare and anti-fingerprint performance of the display module is significantly improved, ensuring that image clarity loss is less than 15%, providing users with a more comfortable visual experience. Simultaneously, the robust protective layer formed by the chemical bonding process greatly enhances the wear resistance and stain resistance of the cover surface, maintaining over 85% of its performance after tens of thousands of wear tests, reducing the inconvenience of frequent cleaning for users. Dynamic backlight optimization technology adjusts brightness according to ambient light and user status, effectively reducing visual fatigue caused by prolonged use. Furthermore, the introduction of a real user visual comfort feedback system avoids deviations caused by relying solely on instrument measurements, ensuring a precise match between the technical solution and user needs. This method achieves both highly efficient anti-glare and durable stain resistance, and dynamically adapts to different usage scenarios, providing users with a more intelligent and healthy eye-protection display solution. Attached Figure Description

[0007] Figure 1 This is a diagram illustrating the steps of the method described in this invention. Detailed Implementation

[0008] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0009] One embodiment of the present invention, such as Figure 1 As shown, a display method for a high-haze, anti-glare, fingerprint-resistant eye-protection display module is provided, the method comprising: S1. An integrated micro-nano composite structure layer is constructed on the outer surface of the cover plate. This structure layer integrates anti-glare and anti-fingerprint functions, eliminates the interface bonding fragility problem caused by traditional multi-layer coating technology, and improves surface wear resistance and overall structural reliability. S2. Based on the integrated micro-nano composite structure layer, the microstructure morphology and spatial distribution are precisely controlled to keep the cover haze within the range of 45%±5%, achieving a highly efficient anti-glare effect with a mirror reflectivity of ≤2.5%, while ensuring that the image contrast loss is less than 15% and maintaining high visual clarity. S3. A stable protective layer is formed on the surface of the cover plate using a chemical bonding process. The initial water contact angle of the protective layer is ≥118°, and after 10,000 wear resistance tests, the performance retention rate exceeds 85%, which significantly improves the anti-fouling durability and reduces the maintenance cost for users. S4. Based on ambient light intensity and user physiological data, dynamically optimize backlight brightness parameters to generate personalized display modes that adapt to different usage scenarios, effectively alleviating visual fatigue caused by prolonged use. S5. Through a real user visual comfort feedback system, collect and analyze the visual experience data of users during use, form a human factor verification closed loop, continuously optimize the various performance indicators of the display module, and ensure that the technical solution is deeply in line with the actual needs of users. S6. Deeply integrate key technologies, including integrated micro-nano structure control, chemical bonding self-repair, dynamic light field optimization and human factor verification closed loop, to construct a cognitive-level eye-protection display architecture. The cognitive-level eye-protection display architecture has precise light field control, self-repairing protective layer and visual comfort closed loop.

[0010] The working principle and effects of the above technical solution are as follows: The integrated micro-nano composite structure simultaneously achieves anti-glare and anti-fingerprint functions, avoiding the fragile interface bonding problem of traditional multi-layer coatings, and enhancing surface wear resistance and overall structural stability. Precise control of microstructure parameters improves anti-glare efficiency and reduces specular reflection interference, enabling it to cope with strong light environments while maintaining high image clarity and reducing visual blurring. A chemically bonded protective layer enhances anti-fouling capabilities, prolongs the durability of the anti-fingerprint effect, reduces the hassle of frequent cleaning, and lowers usage and maintenance costs. Dynamically optimized backlight brightness alleviates eye fatigue during prolonged use, enhancing eye protection practicality. Continuous performance optimization based on user feedback improves the fit between the technical solution and actual needs, avoiding a disconnect between function and usage scenarios, making the display experience more suitable for the needs of students.

[0011] In one embodiment of the present invention, S1 includes: S11. Select a cover plate substrate that is compatible with the educational tablet to ensure the flatness of the substrate surface and the optical compatibility. S12. Composite structural units are formed on the outer surface of the cover plate using micro-nano fabrication technology, with the unit spacing set to 5~20um and the cone angle controlled at 60°~100°. S13. Deeply integrate the anti-fingerprint functional components with micro-nano structural units to form an integrated structural form with dual functions; S14. Optimize the bonding state between the structural layer and the cover plate substrate to eliminate the interface gaps caused by traditional multi-layer coating; enhance the overall stability of the structural layer and improve the surface wear resistance and the reliability of the structure for long-term use. S15. Complete the construction of the integrated micro-nano composite structure layer to form a basic structure with both anti-glare and anti-fingerprint functions.

[0012] The working principle and effects of the above technical solution are as follows: Selecting a suitable cover plate substrate solidifies the optical and flatness foundation, improving the adaptability of subsequent structural construction. Precisely shaping composite structural units and deeply integrating anti-fingerprint components achieves both anti-glare and anti-fingerprint functions, while overcoming the limitations of traditional multi-layer coatings. The design eliminating interface gaps avoids the problem of fragile multi-layer structure bonding, enhancing the adhesion between the structural layer and the substrate. Simultaneously, it strengthens overall stability, improves surface wear resistance and long-term reliability, reduces structural damage during use, and makes the basic protective performance of the display module more durable, reducing maintenance hassles caused by structural failures.

[0013] In one embodiment of the present invention, S2 includes: S21. Collect basic parameters of microstructure morphology and spatial distribution, and establish a multi-dimensional control system; S22. Adjust the height of the microstructure to precisely control the height within the range of 2~8um; optimize the spatial distribution density of the microstructure so that the haze of the cover plate remains stable within the range of 45%±5%. S23. By optimizing the microstructure morphology to change the light reflection path, the intensity of specular reflection is reduced; the specular reflectivity is controlled at ≤2.5%, achieving a highly efficient anti-glare effect. S24. Verify the contrast data during image transmission to ensure that the contrast loss is less than 15%; S25. Maintain high visual clarity and achieve a balance between anti-glare and high light transmittance.

[0014] The working principle and effects of the above technical solution are as follows: A multi-dimensional control system is established to improve the accuracy of microstructure parameter control, laying the foundation for subsequent performance optimization. Precise adjustment of the microstructure height and distribution density keeps the cover plate haze stable, alters the light reflection path, effectively reduces specular reflection intensity, enhances anti-glare effects, and reduces visual interference in strong light environments. Strict verification of contrast data avoids image blurring due to anti-glare processing, effectively resisting reflections while maintaining high visual clarity, achieving a good balance between anti-glare and high light transmittance. This design allows students to obtain a clear and comfortable visual experience in different lighting scenarios, reducing eye discomfort caused by reflections or blurry images, and improving the viewing experience and efficiency during learning.

[0015] In one embodiment of the present invention, S3 includes: S31. Select chemically bonded materials that are compatible with the cover plate substrate and micro / nano structure layer; use precision coating technology to uniformly cover the chemically bonded materials on the cover plate surface; S32. A dense and stable protective layer is formed by triggering a chemical bonding reaction under specific process conditions. S33. Inspect the initial water contact angle of the protective layer to ensure it reaches ≥118°; conduct 10,000 abrasion resistance simulation tests on the protective layer and record the performance degradation; ensure that the performance retention rate of the protective layer exceeds 85% after the test. S34. Enhances stain resistance and durability, reducing the frequency of cleaning and maintenance costs during user operation.

[0016] The working principle and effects of the above technical solution are as follows: Selecting chemically bonded materials compatible with the substrate and micro / nano structure layer avoids problems such as detachment and cracking of the protective layer due to poor compatibility, enhancing the adhesion to the substrate. Precision coating technology ensures uniform material coverage of the surface, and combined with chemical bonding reactions triggered by specific processes, forms a dense and stable protective layer, improving the overall integrity and durability of the protective structure. Achieving the required initial water contact angle enhances anti-fouling capabilities, reducing the adhesion and residue of fingerprints and stains. Performance remains stable even after tens of thousands of abrasion tests, extending the durability of the protective effect. This not only reduces the hassle of frequent cleaning for users but also lowers long-term maintenance costs. It keeps the display module surface clean and fresh for a long time while resisting wear from high-frequency touch, making the anti-fouling and abrasion-resistant performance suitable for the use scenarios of educational tablets, improving the product's user experience and lifespan.

[0017] In one embodiment of the present invention, step S4 includes: S41. Deploy light intensity sensing devices to capture ambient light data of the usage scenario in real time; S42. Collect user physiological information, including screen time, visual state, etc. S43. Analyze the correlation between illumination data and physiological information, and establish a brightness adaptation model; dynamically adjust the backlight brightness parameters based on the model to adapt to different illumination intensity scenarios. S44. Generate a personalized display mode adapted to the classroom scene, including strong light, soft indoor light, etc. S45. Continuously monitors the display mode's performance to alleviate visual fatigue caused by prolonged use.

[0018] The working principle and effects of the above technical solution are as follows: Real-time capture of ambient light data and user physiological information allows for precise brightness adjustments, avoiding the problems of glare or excessive darkness caused by fixed brightness levels. Analysis of the correlation between these two factors establishes an adaptation model, dynamically adjusting backlight parameters to generate personalized display modes adapted to different lighting scenarios. This addresses both the glare issues of strong classroom light and the need for clear display under soft indoor lighting. Continuous monitoring of the mode's performance effectively alleviates visual fatigue caused by prolonged eye use, reduces eye discomfort, and provides students with a comfortable visual experience in various usage scenarios. This improves eye comfort and concentration during study and reduces the potential impact of long-term eye use on vision.

[0019] In one embodiment of the present invention, S43 includes: S431. Integrate the captured ambient light data and collected physiological information to generate a comprehensive photo-physiological dataset; classify and organize the comprehensive photo-physiological dataset, and divide it into different light intensity ranges and physiological state categories. S432. Extract key factors affecting visual comfort under each category to form a multi-dimensional factor set; construct a basic framework for brightness adaptation based on the factor set, and clarify the correspondence between factors and brightness parameters. S433. Input brightness adaptation data from historical usage scenarios, train and optimize the basic framework, and generate a brightness adaptation model; calculate the initial backlight brightness benchmark value corresponding to different light intensity ranges through the model. S434. Adjust the initial baseline value based on the user's real-time physiological information to generate dynamic backlight brightness adjustment parameters; apply the adjustment parameters to the display module to achieve accurate brightness adaptation for different lighting scenarios.

[0020] The working principle and effects of the above technical solution are as follows: Integrating and categorizing ambient lighting data and user physiological information makes the data presentation more organized, avoiding adaptation deviations caused by data clutter, and laying a solid foundation for subsequent brightness adjustments. Extracting key factors affecting visual comfort and constructing a basic adaptation framework improves the targeting of brightness adjustments and reduces interference from irrelevant factors. Inputting historical data to train and optimize the model ensures that the initial backlight brightness baseline value is more closely aligned with actual usage scenarios, avoiding discomfort caused by blindly setting values. Dynamically adjusting the baseline value in conjunction with real-time physiological information enhances the flexibility of brightness adaptation, accurately matching different light intensities while also aligning with the user's real-time eye usage state. Applying the adjustment parameters to the display module achieves precise brightness adaptation, reducing visual fatigue caused by improper brightness, improving eye comfort, and ensuring that the display effect always meets user needs and environmental changes, avoiding the poor experience caused by a one-size-fits-all brightness setting.

[0021] In one embodiment of the present invention, S431 includes: The captured ambient light data and collected physiological information are combined to form initial integrated data; redundancy is removed from the initial integrated data, and valid data entries are retained. Based on the numerical distribution of light data, different light intensity ranges are divided, including low light, medium light, and strong light; and corresponding physiological state categories are divided according to the duration of eye use and differences in visual state. The divided light intensity ranges, physiological state categories, and valid data entries are matched one by one. The normalized and corresponding data are used to generate a unified photophysiological dataset.

[0022] The working principle and effects of the above technical solution are as follows: Initial integrated data is formed by summarizing ambient lighting data and user physiological information. Redundant entries are removed, retaining only valid content to improve data purity and avoid invalid information interfering with subsequent analysis processes. Different intensity ranges are divided based on the distribution of lighting values, and physiological categories are distinguished according to eye usage duration and visual state, making data classification clearer and reducing the cost of subsequent key factor extraction. The divided ranges and categories are matched one-to-one with valid data to ensure the accuracy of data association and avoid analytical bias caused by mismatches. A unified comprehensive dataset with standardized corresponding data structure is generated, enhancing data usability and adaptability. This provides a solid foundation for subsequently building a brightness adaptation framework and training and optimizing models, making subsequent brightness adjustments more reliable and preventing data clutter from affecting adaptation accuracy. This lays a solid data foundation for the generation of personalized display modes.

[0023] In one embodiment of the present invention, step S5 includes: S51. Establish a visual comfort feedback collection system covering students of different age groups; collect visual experience data and comfort evaluations from users in real time during use. S52. Classify and organize the feedback data, and extract key performance influencing factors; perform correlation analysis between the influencing factors and indicators, including display module haze, reflectivity, and protective performance. S53. Adjust the technical parameters based on the analysis results to optimize the overall performance of the display module; S54. Repeated feedback collection and parameter optimization process to form a closed loop of continuous iterative human factor verification; ensuring that the technical solution is deeply aligned with the actual needs of users.

[0024] The working principle and effects of the above technical solution are as follows: A feedback collection system covering students of different age groups is established, enabling the collection of more comprehensive visual experience data and comfort evaluations. This avoids misjudgments of needs due to a single sample, allowing optimization directions to better align with a broader user base. The feedback data is categorized and organized, and key influencing factors are extracted. These are then correlated with core indicators such as haze and reflectivity to improve the targeting of performance optimization and reduce resource waste caused by blind adjustments. Based on the analysis results, technical parameters are adjusted to directly enhance the overall performance of the display module, making the user experience more closely resemble actual user experience. Repeated feedback collection and parameter optimization form a continuous iterative closed loop, preventing a disconnect between the technical solution and user needs caused by a static approach. This ensures a long-term deep alignment between the product and user needs, continuously upgrades eye protection performance, reduces user concerns due to insufficient experience, and enhances the product's practical value and user acceptance.

[0025] In one embodiment of the present invention, S52 includes: Receive collected visual experience data and comfort evaluations to form a raw feedback dataset; perform deduplication and filtering on the raw feedback dataset to remove invalid and duplicate feedback items; Visual experience data and comfort evaluation are divided into two categories based on data type; core elements affecting display effect are selected from the two categories of data, and key performance influencing factors are extracted. The system summarizes and displays relevant indicators such as module haze, reflectivity, and protective performance, forming a complete list of indicators. The key performance influencing factors are matched one by one with the indicator list to establish corresponding relationships; the degree of influence of each influencing factor on the corresponding indicator is analyzed to generate the relationship analysis results.

[0026] The working principle and effects of the above technical solution are as follows: The original feedback dataset is deduplicated and filtered to remove invalid and duplicate entries, improving data purity and avoiding interference from cluttered information, allowing subsequent refinement to focus more on the core aspects. Visual experience data and comfort evaluations are categorized by data type, making the classification clearer, reducing the difficulty of sorting out key factors, and accurately identifying the core elements affecting display effects. A complete list of indicators such as haze and reflectivity is compiled to avoid missing key indicators and provide a comprehensive basis for correlation analysis. Key influencing factors and indicators are matched one by one to establish a correlation, clarifying the correspondence between them and avoiding analytical biases caused by mismatches. The degree of influence of each factor on the indicators is analyzed, making the focus of performance optimization more prominent, improving the targeting of subsequent parameter adjustments, reducing resource waste caused by blind optimization, building solid data support for the comprehensive performance upgrade of the display module, and ensuring that the optimization direction is more in line with the actual user experience needs.

[0027] In one embodiment of the present invention, step S6 includes: S61. Identify key technology modules, including integrated micro / nano structure control, chemical bonding self-healing, dynamic light field optimization, and human factor verification closed loop; establish a collaborative working mechanism for each technology module and clarify data transmission and action paths; S62. Optimize the thickness of the diamond-like carbon film layer to increase the surface pencil hardness to the range of 4H-6H; expand the adjustable haze range to 30%-70% to adapt to different lighting environment requirements. S63 integrates the ability to precisely control the light field with the characteristics of a self-healing protective layer, enhancing core eye protection functions; S64, incorporates a visual comfort closed-loop mechanism to achieve dynamic performance optimization; S65. Construct a cognitive-level eye-protection display architecture with precise light field control, self-healing protection, and a closed loop for visual comfort.

[0028] The working principle and effects of the above technical solution are as follows: Core technology modules are streamlined and a collaborative working mechanism is established to avoid functional disconnect caused by each technology operating independently, thereby enhancing the overall operational consistency and efficiency. Optimizing the thickness of the diamond-like carbon film layer increases surface hardness, reduces wear caused by high-frequency touch, extends the lifespan of the display module, and makes the product more suitable for long-term use in educational scenarios. Expanding the adjustable haze range addresses both the anti-glare requirements of strong light environments and the clear display under soft indoor light, avoiding the limitations of a single haze setting being unsuitable for diverse scenarios. Integrating precise light field control and self-healing protective characteristics strengthens core eye protection functions and reduces eye discomfort. A visual comfort closed-loop mechanism is incorporated to achieve dynamic performance optimization, avoiding lag in user experience caused by rigid technical solutions. The resulting cognitive-level eye-protection display architecture makes eye protection more precise, protection more durable, and the experience more tailored to user needs, reducing user concerns and comprehensively enhancing the product's overall competitiveness and practical value.

[0029] In one embodiment of the present invention, a high-haze, anti-glare, fingerprint-resistant eye-protection display module is provided, the module comprising: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method described in any one of the above.

[0030] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A display method for a high-haze, anti-glare, fingerprint-resistant eye-protection display module, characterized in that, The method includes: S1. Construct an integrated micro-nano composite structure layer on the outer surface of the cover plate; S2. Based on an integrated micro-nano composite structure layer, the morphology and spatial distribution of the microstructure can be precisely controlled. S3. A stable protective layer is formed on the surface of the cover plate using a chemical bonding process; S4. Based on ambient light intensity and user physiological state data, dynamically optimize backlight brightness parameters to generate personalized display modes that adapt to different usage scenarios; S5. Through a real user visual comfort feedback system, collect and analyze the visual experience data of users during use, form a human factor verification closed loop, and continuously optimize the various performance indicators of the display module. S6. Deeply integrate key technologies to build a cognitive-level eye-protection display architecture.

2. The display method of the high-haze, anti-glare, fingerprint-resistant eye-protection display module according to claim 1, characterized in that, S1 includes: S11. Select a cover plate substrate that is compatible with educational tablets; S12. Composite structural units are formed on the outer surface of the cover plate using micro-nano fabrication technology, with the unit spacing set to 5~20um and the cone angle controlled at 60°~100°. S13. Deeply integrate the anti-fingerprint functional components with micro-nano structural units to form an integrated structural form with dual functions; S14. Optimize the bonding state between the structural layer and the cover plate substrate to eliminate the interface gaps caused by traditional multi-layer coating; enhance the overall stability of the structural layer and improve the surface wear resistance and the reliability of the structure for long-term use. S15. Complete the construction of the integrated micro-nano composite structure layer to form a basic structure with both anti-glare and anti-fingerprint functions.

3. The display method of the high-haze, anti-glare, fingerprint-resistant eye-protection display module according to claim 1, characterized in that, The S2 includes: S21. Collect basic parameters of microstructure morphology and spatial distribution, and establish a multi-dimensional control system; S22. Adjust the height of the microstructure to precisely control the height within the range of 2~8um; optimize the spatial distribution density of the microstructure so that the haze of the cover plate remains stable within the range of 45%±5%. S23. By optimizing the microstructure morphology to change the light reflection path, the intensity of specular reflection is reduced, and the specular reflectivity is controlled to ≤2.5%. S24. Verify the contrast data during image transmission to ensure that the contrast loss is less than 15%; S25. Maintain high visual clarity and achieve a balance between anti-glare and high light transmittance.

4. The display method of the high-haze, anti-glare, fingerprint-resistant eye-protection display module according to claim 1, characterized in that, The S3 includes: S31. Select chemically bonded materials that are compatible with the cover plate substrate and micro / nano structure layer; use precision coating technology to uniformly cover the chemically bonded materials on the cover plate surface; S32. A dense and stable protective layer is formed by triggering a chemical bonding reaction under specific process conditions. S33. Inspect the initial water contact angle of the protective layer to ensure it reaches ≥118°; conduct 10,000 abrasion resistance simulation tests on the protective layer and record the performance degradation; ensure that the performance retention rate of the protective layer exceeds 85% after the test. S34. Enhances stain resistance and durability, reducing the frequency of cleaning and maintenance costs during user operation.

5. The display method of the high-haze, anti-glare, fingerprint-resistant eye-protection display module according to claim 1, characterized in that, The S4 includes: S41. Deploy light intensity sensing devices to capture ambient light data of the usage scenario in real time; S42. Collect user physiological information; S43. Analyze the correlation between illumination data and physiological information, and establish a brightness adaptation model; dynamically adjust the backlight brightness parameters based on the model to adapt to different illumination intensity scenarios. S44. Generate a personalized display mode that adapts to the classroom scene; S45. Continuously monitors the display mode's performance to alleviate visual fatigue caused by prolonged use.

6. The display method of the high-haze, anti-glare, fingerprint-resistant eye-protection display module according to claim 5, characterized in that, S43 includes: S431. Integrate the captured ambient light data and collected physiological information to generate a comprehensive photo-physiological dataset; classify and organize the comprehensive photo-physiological dataset, and divide it into different light intensity ranges and physiological state categories. S432. Extract key factors affecting visual comfort under each category to form a multi-dimensional factor set; construct a basic framework for brightness adaptation based on the factor set, and clarify the correspondence between factors and brightness parameters. S433. Input brightness adaptation data from historical usage scenarios, train and optimize the basic framework, and generate a brightness adaptation model; calculate the initial backlight brightness benchmark value corresponding to different light intensity ranges through the model. S434. Adjust the initial baseline value based on the user's real-time physiological information to generate dynamic backlight brightness adjustment parameters; apply the adjustment parameters to the display module to achieve accurate brightness adaptation for different lighting scenarios.

7. The display method of the high-haze, anti-glare, fingerprint-resistant eye-protection display module according to claim 6, characterized in that, S431 includes: The captured ambient light data and collected physiological information are combined to form initial integrated data; redundancy is removed from the initial integrated data, and valid data entries are retained. Based on the numerical distribution of light data, different light intensity ranges are divided; and corresponding physiological state categories are divided according to the duration of eye use and differences in visual state. The divided light intensity ranges, physiological state categories, and valid data entries are matched one by one. The normalized and corresponding data are used to generate a unified photophysiological dataset.

8. The display method of the high-haze, anti-glare, fingerprint-resistant eye-protection display module according to claim 1, characterized in that, The S5 includes: S51. Establish a visual comfort feedback collection system covering students of different age groups; collect visual experience data and comfort evaluations from users in real time during use. S52. Classify and organize the feedback data, extract key performance influencing factors, and conduct correlation analysis between influencing factors and indicators; S53. Adjust the technical parameters based on the analysis results to optimize the overall performance of the display module; S54, repeated feedback collection and parameter optimization process, forming a closed loop of continuous iterative human factor verification.

9. The display method of the high-haze, anti-glare, fingerprint-resistant eye-protection display module according to claim 1, characterized in that, The S6 includes: S61. Identify key technology modules, establish a collaborative working mechanism for each technology module, and clarify data transmission and action paths; S62. Optimize the thickness of the diamond-like carbon film layer to increase the surface pencil hardness to the range of 4H-6H; expand the adjustable haze range to 30%-70% to adapt to different lighting environment requirements. S63 integrates the ability to precisely control the light field with the characteristics of a self-healing protective layer, enhancing core eye protection functions; S64, incorporates a visual comfort closed-loop mechanism to achieve dynamic performance optimization; S65. Construct a cognitive-level eye-protection display architecture with precise light field control, self-healing protection, and a closed loop for visual comfort.

10. A high-haze, anti-glare, fingerprint-resistant eye-protection display module, characterized in that, The module includes: One or more processors; Memory, used to store one or more programs; Wherein, when the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1 to 9.

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