Photochromic lens myopia prevention and control adaptability analysis method and system

Abstract

The present application belongs to the technical field of optical lens performance detection and data analysis, and discloses a kind of photochromic lens myopia prevention and control adaptability analysis method and system.The method carries out dynamic optical detection to the photochromic lens to be measured under different preset illumination scenes and different sampling time nodes, obtains dynamic detection data, and constructs standardized dynamic dataset in combination with process correlation data and user correlation data;Based on the dynamic dataset, threshold compliance features, dynamic response features, binocular consistency features and basic compliance features are extracted, and the lens is executed veto determination and comprehensive evaluation, and grade division, evaluation report, sorting control information, process feedback information and application parameter information are output.The present application can improve the matching between the detection results and the actual myopia prevention and control use scene, and support lens grading, mass production sorting and process optimization.

Description

Technical Field

[0001] This invention relates to the field of optical lens performance testing and data analysis technology, and more specifically, to a method and system for analyzing the adaptability of photochromic lenses for myopia control. Background Technology

[0002] Photochromic lenses automatically reduce light transmittance in ultraviolet and high-illuminance environments, thus achieving shading and UV protection, and are widely used in outdoor eyewear. For myopia prevention and control in children and adolescents, effective light entering the eyes during outdoor activities is one of the important environmental factors affecting the occurrence and development of myopia. Therefore, lenses used in this scenario not only need to have basic sunshade and UV protection capabilities, but also need to maintain the light transmitted to the eyes within a target range that balances myopia prevention and strong light safety under different outdoor illuminance and wearing duration conditions.

[0003] Therefore, photochromic lenses for myopia prevention in children and adolescents should not simply pursue "the stronger the light blocking, the better" or "the higher the light transmission, the better." Instead, they need to simultaneously meet the requirements of strong light protection and effective light penetration for myopia prevention in dynamically changing outdoor lighting environments. Existing technologies mainly have the following shortcomings:

[0004] (1) The testing methods are mainly static and single-point parameters, which cannot reflect the dynamic performance during actual use. Existing photochromic lens testing usually focuses on single parameters such as ground state transmittance, colored state transmittance, and ultraviolet blocking rate, and is mostly completed under single illuminance and single time point conditions, which makes it difficult to reflect the dynamic change of the lens in the early stage of strong outdoor light exposure, the middle stage of continuous wear, and the later stage of long-term wear.

[0005] (2) The existing evaluation system is mainly oriented towards general sunglasses standards and cannot determine whether it is suitable for myopia prevention and control scenarios. The existing evaluation system mainly examines ultraviolet blocking ability, light transmission category and basic safety indicators. It can determine whether the lens meets general sun protection requirements, but it cannot answer whether the lens can meet both the effective lower limit of light entering the eye required for myopia prevention and control and the upper limit of strong light safety requirements under different outdoor illumination scenarios, nor can it evaluate the fit and stability during continuous wear.

[0006] (3) Lack of dynamic constraint analysis on the target range of incoming light. For myopia control scenarios, what really needs to be monitored and evaluated is not only the transmittance of the lens itself, but also the intensity of the transmitted light or the equivalent incoming light value after the lens has acted. If only the transmittance is detected without combining the illuminance scenario analysis of the transmitted light, it is impossible to establish a direct relationship between the dynamic performance of the lens and the adaptability of myopia control.

[0007] (4) Lack of joint evaluation of long-term stability and binocular consistency. Photochromic lenses may experience transmittance drift, response saturation, or recovery lag under prolonged exposure; at the same time, differences in substrate, coating, and curing state between the left and right lenses may also lead to inconsistencies in transmittance, color-changing speed, and transmitted light illumination. Existing evaluation methods usually do not analyze long-term stability and binocular consistency as joint technical indicators, making it difficult to reflect the actual wearing effect.

[0008] (5) There is a lack of linkage between test results and mass production sorting, process optimization and application output. Most of the existing lens test data are only used to determine whether they are qualified or not, and it is difficult to further use them for batch grading and sorting, process traceability optimization and back-end application parameter output, resulting in low utilization of test data and inability to effectively support product mass production and application.

[0009] Therefore, there is an urgent need to develop a dynamic detection and analysis method for photochromic lenses for myopia prevention and control scenarios. This method would enable the unified collection, quantitative characterization, and automatic determination of the lens's transmitted light intensity, transmittance, ultraviolet blocking rate, dynamic response, and binocular consistency under multiple typical outdoor illumination scenarios and throughout the entire wearing period. The analysis results would then be directly used for lens grading, batch sorting, process traceability, and parameter output, thereby improving the matching between the detection results and actual myopia prevention and control application scenarios. Summary of the Invention

[0010] In view of the shortcomings of the existing technology, the purpose of this application is to provide a method and system for analyzing the adaptability of photochromic lenses for myopia control.

[0011] To achieve the above objectives, this application provides the following technical solution:

[0012] A method for analyzing the myopia control adaptability of photochromic lenses, characterized by comprising the following steps:

[0013] S1, under preset illumination scenarios and sampling time points, performs dynamic optical testing on the photochromic lens to be tested, acquires dynamic testing data, and simultaneously collects process-related data and user-related data;

[0014] S2 performs outlier removal, missing value completion, normalization, and unified indexing preprocessing on the raw data collected by S1 to construct a standardized dynamic dataset.

[0015] S3, based on a standardized dynamic dataset, extracts key features to characterize the myopia control adaptability of the photochromic lens under test, including threshold compliance features, dynamic response features, binocular consistency features, and basic compliance features;

[0016] S4, determine the suitability of the photochromic lens to be tested, including rejection based on preset baseline conditions and comprehensive evaluation based on multiple key features;

[0017] S5, based on the compatibility determination results, outputs evaluation results including grade classification, evaluation report, sorting control information, process feedback information, and application parameter information.

[0018] In a preferred embodiment, the preset illumination scenario includes at least three different illumination scenarios containing ultraviolet radiation, and the sampling time nodes at least cover the initial state of the lens, the rapid color change response stage, the intermediate stabilization stage, and the long-term wearing stage.

[0019] In a preferred embodiment, the preset illuminance scenarios include illuminance scenarios of (100000±5000) lx, (80000±4000) lx, and (30000±1500) lx;

[0020] The sampling time nodes include (0±1) min, (10±1) min, (30±1) min, (60±1) min and (150±1) min.

[0021] In a preferred embodiment, the dynamic detection data includes the light intensity on the transmission side of the left and right lenses, the lens transmittance, the ultraviolet blocking rate, the color change response parameters, the fading response parameters, and the response speed.

[0022] The process-related data includes substrate batch, coating parameters, curing parameters, and annealing parameters;

[0023] The user-related data includes age, degree of myopia, medication intervention status, and outdoor activity habits.

[0024] In a preferred embodiment, the threshold compliance features include effective prevention and control threshold compliance features, enhanced prevention and control threshold compliance features, and strong light safety threshold compliance features, wherein:

[0025] The effective prevention and control threshold compliance feature is used to characterize the proportion of sampling points in all sampling points where the equivalent light intensity entering the eye is not lower than the first preset lower limit threshold.

[0026] The enhanced prevention and control threshold compliance feature is used to characterize the proportion of sampling points in all sampling points where the equivalent light intensity value entering the eye is not lower than the second preset lower limit threshold.

[0027] The strong light safety threshold compliance feature is used to characterize the proportion of sampling points in all sampling points where the equivalent light value entering the eye does not exceed the preset safety upper limit threshold.

[0028] The equivalent light value entering the eye is calculated based on the illuminance value corresponding to the preset illuminance scene and the lens transmittance.

[0029] The first preset lower threshold is 1000 lx; ​​the second preset lower threshold is 3000 lx; ​​and the preset safety upper threshold is 8000 lx.

[0030] In a preferred embodiment, the dynamic response class features include:

[0031] Fast color-changing response characteristics used to characterize the light reduction capability of a photochromic lens under test within a preset short-time response range;

[0032] Long-term stability characteristics used to characterize the degree of light transmission fluctuation of the photochromic lens under test during continuous wear;

[0033] The color change response characteristics and fading response characteristics are used to characterize the time required for the photochromic lens under test to reach a preset response level under switching between light and dark scenes.

[0034] The preset short-time response interval is within 10 minutes after the lens is placed, and the continuous wearing phase includes at least sampling time nodes corresponding to 30 minutes, 60 minutes, and 150 minutes.

[0035] In a preferred embodiment, the binocular consistency features include transmittance deviation, light intensity difference on the transmission side, and response difference of the left and right lenses under different illumination scenarios and different sampling time points;

[0036] The basic compliance characteristics include full-band ultraviolet blocking rate and ground-state transmittance.

[0037] In a preferred embodiment, the suitability determination first involves a rejection determination. For photochromic lenses under test that do not trigger a rejection determination, a comprehensive evaluation is performed, wherein:

[0038] A rejection decision will be made if any of the following conditions are met: the compliance rate of the enhanced prevention and control threshold is below 80%; the compliance rate of the effective prevention and control threshold is below 80%; the ultraviolet blocking rate in the basic compliance category is below 99%; or the difference in light transmittance between the left and right lenses in the binocular consistency category is greater than 15%.

[0039] The comprehensive evaluation includes: based on threshold compliance features, dynamic response features, binocular consistency features, and basic compliance features, each key feature is converted into a corresponding feature score according to a preset mapping relationship, and then weighted and summarized according to the preset weights corresponding to each feature score to obtain the comprehensive evaluation result;

[0040] The grade classification of the photochromic lens to be tested is determined based on the comprehensive evaluation results.

[0041] A photochromic lens myopia control adaptability analysis system, characterized in that it includes:

[0042] The data acquisition module is used to perform dynamic optical inspection on the photochromic lens under the preset illumination scene and sampling time node, acquire dynamic inspection data, and simultaneously acquire process-related data and user-related data.

[0043] The data preprocessing module is used to perform outlier removal, missing value completion, normalization, and indexing on the raw data to build a standardized dynamic dataset.

[0044] The feature extraction module is used to extract threshold compliance features, dynamic response features, binocular consistency features, and basic compliance features based on a standardized dynamic dataset.

[0045] The adaptability determination module is used to perform a rejection determination based on preset bottom line conditions, and to perform a weighted summary based on the feature evaluation values ​​corresponding to various key features to obtain a comprehensive evaluation result;

[0046] The results output module is used to output evaluation results based on the adaptability determination results, including grade classification, evaluation report, sorting control information, process feedback information, and application parameter information.

[0047] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method as described above.

[0048] By adopting the above technical solution, the beneficial effects of the present invention are as follows:

[0049] By conducting dynamic optical testing on photochromic lenses under different preset illumination scenarios and sampling time points, and standardizing, extracting features, and determining suitability of the dynamic testing data, this approach covers the performance changes of the lens from its initial state and rapid response phase to long-term wear. Compared to existing static, single-point testing methods, this approach more accurately reflects the dynamic optical behavior of the lens in actual outdoor use. Simultaneously, this solution incorporates the transmitted light intensity or equivalent incident light value into the suitability analysis, and evaluates it in conjunction with the effective threshold for myopia control, the enhancement threshold, and the upper limit of strong light safety. This enables a unified determination of the lens's strong light protection capability and the effective incident light requirements for myopia control, thereby improving the match between lens evaluation results and the usage scenarios for myopia control in children and adolescents.

[0050] Furthermore, this solution incorporates dynamic response features, binocular consistency features, and basic compliance features to jointly analyze the lens's rapid photochromic capability, long-term stability, left-right lens matching degree, and basic protection capability. Based on the fit determination results, it outputs grade classification, evaluation reports, sorting control information, process feedback information, and application parameter information, thereby achieving linkage between lens fit analysis results and batch sorting, process traceability, and product application. Therefore, this solution not only improves the utilization efficiency of photochromic lens testing data but also provides a unified data analysis foundation for lens mass production grading, process optimization, and scenario-based application matching. Attached Figure Description

[0051] Figure 1 This is a schematic diagram of the method flow according to the first embodiment of this application;

[0052] Figure 2 This is a schematic diagram of the system architecture according to the second embodiment of this application. Detailed Implementation

[0053] In the following description, many technical details are presented to help the reader better understand this application. However, those skilled in the art will understand that the technical solutions claimed in this application can be implemented even without these technical details and various variations and modifications based on the following embodiments.

[0054] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0055] The first embodiment of this application provides a method for analyzing the adaptability of photochromic lenses for myopia prevention. This method can be executed by a dedicated testing and analysis device, an industrial control terminal, a server, or a computing platform with data processing capabilities. It is applicable to the testing and analysis of photochromic lenses in the context of myopia prevention for children and adolescents, and is especially suitable for the research and development verification, batch testing, grading and sorting, and application matching of lens products that need to take into account both strong light protection and effective light entering the eye.

[0056] like Figure 1 As shown, the method in this embodiment includes the following steps:

[0057] Step S1: Dynamic Data Acquisition

[0058] First, dynamic optical testing is performed on the photochromic lens under multiple preset illumination scenarios and multiple sampling time points to obtain dynamic testing data, and process-related data and user-related data are collected simultaneously.

[0059] Specifically, in a simulated lighting environment containing ultraviolet radiation, at least three different illuminance scenarios are set up to simulate typical environmental illuminance conditions that children and adolescents may encounter during outdoor activities. Preferably, the illuminance scenarios include illuminance scenarios with illuminances of (100000±5000) lx, (80000±4000) lx, and (30000±1500) lx. Simultaneously, multiple sampling time points are set under each illuminance scenario to cover the complete testing cycle of the lens from its initial state, rapid color change response stage, intermediate stable stage to long-term wear stage. Preferably, the sampling time points include (0±1) min, (10±1) min, (30±1) min, (60±1) min, and (150±1) min after lens placement.

[0060] In the above-mentioned detection process, the dynamic detection data includes at least the light intensity on the transmission side of the left and right lenses, lens transmittance, ultraviolet blocking rate, color change response parameters, fading response parameters, and response speed. It should be noted that the light intensity on the transmission side can be directly obtained through a light-receiving detection unit located on the transmission side of the lens; for implementations requiring further characterization of the actual light received by the eye, an equivalent light value received by the eye can also be obtained based on the illuminance value corresponding to a preset illuminance scenario and the lens transmittance. Preferably, the equivalent light value received by the eye can be calculated using the following formula:

[0061]

[0062] in, Indicates the first The first preset illumination scene, the first The sampling time node, the first The equivalent incident light value corresponding to each side of the lens; Indicates the first Illumination values ​​corresponding to a preset illumination scene; This indicates the lens transmittance under the corresponding scene, time point, and lens side. Indicates the left or right lens; η is the device geometric correction coefficient or calibration coefficient, used to correct measurement deviations caused by factors such as light source arrangement, lens mounting position, and sensor structure.

[0063] In addition to dynamic detection data, this embodiment also simultaneously collects process-related data and user-related data. Process-related data includes, but is not limited to, substrate batch, coating parameters, curing parameters, and annealing parameters, used for subsequent process traceability and batch variation analysis; user-related data includes, but is not limited to, age, degree of myopia, drug intervention status, and outdoor activity habits, used for subsequent application matching and optimization analysis. Step S2: Construction of Standardized Dynamic Dataset

[0064] After obtaining the raw data, the raw data collected in step S1 is subjected to outlier removal, missing value completion, normalization and indexing preprocessing to construct a standardized dynamic dataset.

[0065] Specifically, for obviously discrete data or abnormal sampling points caused by instantaneous equipment jitter during the detection process, anomaly judgment rules based on statistical intervals can be used for rejection. For example, when the deviation of a certain detection value from the mean of the corresponding parameter exceeds a preset threshold, it is considered an abnormal value. For missing data caused by instantaneous acquisition failure, communication interruption, or equipment omission, interpolation between adjacent time points can be used for completion, preferably expressed as follows:

[0066]

[0067] in, The parameter value represents the moment to be completed; and These represent two adjacent sampling time points before and after the missing point.

[0068] Furthermore, to facilitate unified analysis across different detection parameters, this embodiment performs normalization processing on each detection data. Preferably, a minimum-maximum normalization method can be used:

[0069]

[0070] in, This represents the normalized parameter value; Indicates the original value of the parameter; and These represent the minimum and maximum values ​​of the corresponding parameters within the specified range, respectively.

[0071] Furthermore, to ensure the clarity and consistency of the data processing, this embodiment indexes the processed data uniformly according to lens number, illumination scene, sampling time point, left and right lens identification, and corresponding detection parameters, constructing a standardized dynamic dataset. This standardized dynamic dataset enables unified comparison and subsequent automatic analysis between different scenes, time points, and lens samples.

[0072] Step S3: Key Feature Extraction

[0073] Based on the standardized dynamic dataset constructed in step S2, key features for characterizing the myopia control adaptability of the photochromic lens under test are extracted, including threshold compliance features, dynamic response features, binocular consistency features, and basic compliance features.

[0074] Among them, the threshold compliance features are used to evaluate whether the lens can simultaneously meet the basic requirements of myopia prevention and strong light safety under multiple illumination scenarios and multiple time points. Preferably, the threshold compliance features include effective prevention threshold compliance features, enhanced prevention threshold compliance features, and strong light safety threshold compliance features. Specifically, let the total number of sampling points be... ,but:

[0075]

[0076] Where N represents the total number of sampling points; |S| represents the number of illumination scenes; |T| represents the number of time points; and |K| represents the number of lens sides.

[0077] The effective prevention and control threshold compliance rate can be expressed as:

[0078] in, This indicates the rate at which the effective prevention and control threshold is met; 1000 represents the equivalent light intensity entering the eye; 1000 represents the effective prevention and control threshold.

[0079] The enhanced prevention and control threshold compliance rate can be expressed as:

[0080]

[0081] in, This indicates the rate of compliance with the enhanced prevention and control threshold; 3000 represents the enhanced prevention and control threshold.

[0082] The enhanced prevention and control threshold compliance rate can be expressed as:

[0083]

[0084] in, This indicates the compliance rate of the strong light safety threshold; This represents the upper limit threshold for strong light safety, preferably set to 8000. This indicator represents the percentage of all sampling points where the equivalent light entering the eye does not exceed the upper limit of safety.

[0085] Dynamic response features are used to evaluate the response efficiency and stability of lenses during illumination excitation and continuous wear. Specifically, dynamic response features include rapid photochromic response features, long-term stability features, photochromic response features, and fading response features.

[0086] Preferably, the rapid color-changing response characteristic can be characterized by its ability to reduce illumination within a short-time response range, for example:

[0087]

[0088] in, Indicates the scene s, lens side The rate of decrease in light intensity over the next 10 minutes; This represents the equivalent incident light value at the initial time point; This represents the equivalent incident light intensity at 10 minutes. This indicator is used to characterize the intensity of the lens's color change response within the first 10 minutes.

[0089] Long-term stability characteristics are used to characterize the degree of light transmittance fluctuation during continuous wear. Preferably, the continuous wear period includes sampling time nodes corresponding to at least 30 min, 60 min, and 150 min, and the light transmittance fluctuation amplitude can be expressed as:

[0090]

[0091] in, This indicates the range of light transmittance fluctuations over a long period of time. These correspond to time points of 30 minutes, 60 minutes, and 150 minutes, respectively. This indicator is used to highlight the stability during the continuous wear phase.

[0092] For color change response characteristics and fading response characteristics, the time required to reach a preset response level can be used for characterization, that is, the time corresponding to the lens changing from a high-transmittance state to a low-transmittance state, or from a low-transmittance state to a high-transmittance state to a preset ratio is recorded.

[0093] Binocular consistency features are used to evaluate the matching degree of the left and right lenses under different illumination scenarios and different sampling time points. Preferably, the binocular consistency features include the transmittance deviation of the left and right lenses, the difference in light intensity on the transmitted side, and the response difference. The transmittance deviation of the left and right lenses can be expressed as:

[0094]

[0095] in, This indicates the maximum deviation in light transmittance between the left and right lenses; and These represent the light transmittance of the left and right lenses respectively under the same scene and at the same time point. This indicator is used to evaluate the consistency of light transmittance between the left and right lenses.

[0096] The difference in light intensity on the transmitted side can be expressed as:

[0097]

[0098] in, This represents the maximum difference in transmitted light or equivalent incoming light between the left and right lenses; and These represent the equivalent incident light values ​​for the left and right lenses, respectively.

[0099] The difference in response between the left and right lenses can be expressed as:

[0100]

[0101] in, This indicates the maximum difference in the rate of light reduction between the left and right lenses after 10 minutes. and These represent the left and right lenses in the scene, respectively. The rate of decrease in light intensity over 10 minutes.

[0102] Basic compliance features are used to evaluate the lens's basic protection capability and initial performance, preferably including full-spectrum UV blocking rate and ground-state transmittance. These features primarily ensure that the lens meets basic protection requirements before entering the fit evaluation stage. The UV blocking rate can be expressed as:

[0103]

[0104] in, It represents the minimum UV blocking rate across all scenarios, all time points, and the range of the left and right lenses, and is used to characterize the minimum UV protection level of the lens throughout the entire testing process.

[0105] Ground state transmittance can be expressed as:

[0106]

[0107] in, Indicates the ground-state average transmittance; and These represent the left and right lenses at the initial time points, respectively. The light transmittance below.

[0108] Step S4: Adaptability Determination

[0109] After extracting the aforementioned key features, a suitability assessment is performed on the photochromic lens to be tested. This suitability assessment includes a rejection decision based on preset baseline conditions and a comprehensive evaluation based on multiple key features.

[0110] Specifically, this embodiment first performs a rejection judgment. If a lens meets any of the following conditions, it is directly judged as unsuitable: the enhanced prevention threshold compliance characteristic is less than 80%; the effective prevention threshold compliance characteristic is less than 80%; the ultraviolet blocking rate in the basic compliance characteristics is less than 99%; the light transmittance deviation between the left and right lenses in the binocular consistency characteristics is greater than 15%. By setting a rejection judgment in advance, lens samples that obviously do not meet the basic usage requirements in the myopia prevention scenario can be preferentially eliminated.

[0111] The reason for adopting a veto is that the compliance rate of prevention and control, the effective prevention and control compliance rate, the minimum ultraviolet blocking rate, and the consistency between the two eyes are the bottom line constraints. If any one of them is obviously unbalanced, even if the other indicators are good, it is not appropriate to judge it as suitable for use in the scenario of myopia prevention and control for children and adolescents.

[0112] For photochromic lenses that do not trigger a rejection decision, a comprehensive evaluation is performed. Specifically, each key feature can first be converted into a corresponding feature score according to a preset mapping relationship. For indicators where a larger value indicates better performance, the following mapping method can be used:

[0113]

[0114] in, This represents the feature score of the corresponding indicator; This represents the original value of the indicator; and These represent the minimum and maximum values ​​within the specified range of the indicator, respectively.

[0115] For metrics where smaller values ​​indicate better performance, the following mapping method can be used:

[0116]

[0117] For indicators that are sensitive to local anomalies, such as long-term stability characteristics, a segmented interval mapping method can be used to improve the stability of engineering judgments. For example, for long-term light transmittance fluctuation amplitude, a multi-threshold segmented scoring method can be used, that is, a high score is assigned when the fluctuation amplitude is less than or equal to the first threshold, a medium-high score is assigned when it is between the first and second thresholds, a medium-low score is assigned when it is between the second and third thresholds, and a low score is assigned when it exceeds the third threshold.

[0118] After obtaining the feature scores corresponding to each key feature, the scores are weighted and summed according to preset weights to obtain a comprehensive evaluation result. Preferably, the comprehensive score... It can be represented as:

[0119]

[0120] in, This indicates the score for meeting the enhanced prevention and control threshold. This indicates the score for achieving the effective prevention and control threshold. This indicates the score for meeting the high light safety threshold. Indicates the score for rapid response; This indicates the long-term stability score; Indicates the binocular symmetry score; Indicates the basic compliance score; to The weight coefficients for each item are set to a sum of 1. Preferably, w1=0.30, w2=0.20, w3=0.10, w4=0.15, w5=0.10, w6=0.10, and w7=0.05.

[0121] The above settings embody the core logic of this invention, namely, prioritizing the ability to meet the thresholds related to myopia prevention and control, then considering dynamic response and long-term stability, and finally taking into account binocular consistency and basic compliance.

[0122] It should be noted that the weighting parameters and segmentation thresholds in the comprehensive scoring are preferred implementation methods. For different enterprise product lines, different sample libraries, or different target use scenarios, adjustments can be made based on validation samples, but the essence is still to determine the suitability based on dynamic detection data throughout the entire lifecycle of multiple scenarios.

[0123] Step S5: Output Results

[0124] Based on the compatibility assessment results, the output includes evaluation results such as grade classification, evaluation report, sorting control information, process feedback information, and application parameter information.

[0125] Specifically, after the comprehensive evaluation is completed, the photochromic lenses to be tested can be classified into grades based on the evaluation results. Preferably, the lenses can be classified into Grade S, Grade A, Grade B, and Inappropriate Grade. Preferably, Grade S corresponds to a comprehensive score of not less than 90 points, Grade A corresponds to a comprehensive score of 80 to 89 points, Grade B corresponds to a comprehensive score of 70 to 79 points, and Inappropriate Grade corresponds to a comprehensive score of less than 70 points or triggers a rejection decision.

[0126] Based on this, this embodiment can also output a single lens fit evaluation report to record the analysis results of various key characteristics and the final grade of the lens; output sorting control information to drive the sorting equipment to perform automatic sorting according to the grade; output process feedback information to inversely correlate incompatible or low-grade results with substrate batches, coating parameters, curing parameters, and annealing parameters for process optimization; for smart glasses products with active dimming capabilities, application parameter information can also be output, such as target transmittance ranges, response compensation parameters, and threshold image stabilization parameters under different illumination scenarios, to achieve linkage between lens detection results and backend product applications. Preferably, the application parameter information can be represented as a parameter set. ,in to These represent the target transmittance range, response compensation parameters, threshold stabilization parameters, or other control parameters under different illumination scenarios.

[0127] Optional step S6: Closed-loop optimization

[0128] In an optional implementation, the method further includes a closed-loop optimization step. Specifically, actual lens wearing data and subsequent follow-up data can be acquired and correlated with the initial evaluation results to correct the feature mapping interval, threshold parameters, or weight parameters, thereby improving the model's adaptability to different sample libraries, different product lines, and different target usage scenarios.

[0129] Preferably, actual wearing data and / or subsequent follow-up data can be used to construct a feedback dataset. And update the weights of each item based on the feedback results. For example, weight updates can be done in the following way:

[0130]

[0131] in, This represents the weight of the i-th component in the n-th iteration; Indicates the updated weights; This represents the corrected weights calculated based on the feedback samples; This represents the update coefficient, and its value is generally between 0 and 1.

[0132] It should be noted that step S6 is an optional optimization step and is not a necessary step for implementing the present invention.

[0133] In summary, this embodiment performs dynamic optical testing on photochromic lenses under multiple preset illumination scenarios and multiple sampling time points, and performs standardized processing, feature extraction, rejection judgment, and comprehensive evaluation on the test data. This enables the linkage between lens fit analysis results and grade classification, batch sorting, process traceability, and application parameter output, thereby improving the matching between test results and actual myopia prevention and control application scenarios.

[0134] The second embodiment of this application provides a photochromic lens myopia control adaptability analysis system, which is used to implement the method described in Embodiment 1. The system can be deployed on the testing equipment itself, an industrial control platform, an edge computing terminal, or a server, or it can be implemented using a combination of software and hardware.

[0135] like Figure 2 As shown, the system in this embodiment includes a data acquisition module, a data preprocessing module, a feature extraction module, an adaptability determination module, and a result output module. Optionally, it may also include a closed-loop optimization module and a data storage and interaction module. Wherein:

[0136] The data acquisition module is used to perform dynamic optical testing on the photochromic lens under test under multiple preset illumination scenarios and multiple sampling time points, acquire dynamic test data, and simultaneously collect process-related data and user-related data.

[0137] The data preprocessing module is used to perform outlier removal, missing value completion, normalization, and indexing on the raw data to build a standardized dynamic dataset.

[0138] The feature extraction module is used to extract threshold compliance features, dynamic response features, binocular consistency features, and basic compliance features based on a standardized dynamic dataset.

[0139] The compatibility determination module is used to perform a rejection determination based on preset bottom line conditions, and to perform a comprehensive evaluation on lenses that have not triggered a rejection determination, thereby obtaining a comprehensive evaluation result.

[0140] The results output module is used to output evaluation results based on the adaptability determination results, including grade classification, evaluation report, sorting control information, process feedback information, and application parameter information.

[0141] Optionally, the closed-loop optimization module is used to receive actual wearing data or subsequent feedback data, and update the threshold parameters, mapping relationships or weight parameters used in the fit analysis.

[0142] Optionally, the data storage and interaction module is used to store detection data, analysis results, and historical records, and provides functions such as querying, statistics, exporting, and parameter configuration.

[0143] The system in this embodiment, through the coordinated operation of the above modules, can complete the entire process of myopia control adaptability analysis of photochromic lenses, and supports functions such as lens grading and sorting, process traceability, and application parameter output.

[0144] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any ordinary changes and substitutions made by those skilled in the art within the scope of the technical solution of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for analyzing the adaptability of photochromic lenses for myopia control, characterized in that, Includes the following steps: S1, under preset illumination scenarios and sampling time points, performs dynamic optical testing on the photochromic lens to be tested, acquires dynamic testing data, and simultaneously collects process-related data and user-related data; S2 performs outlier removal, missing value completion, normalization, and unified indexing preprocessing on the raw data collected in S1 to construct a standardized dynamic dataset. S3, based on a standardized dynamic dataset, extracts key features to characterize the myopia control adaptability of the photochromic lens under test, including threshold compliance features, dynamic response features, binocular consistency features, and basic compliance features; S4, determine the suitability of the photochromic lens to be tested, including rejection based on preset baseline conditions and comprehensive evaluation based on multiple key features; S5, based on the compatibility determination results, outputs evaluation results including grade classification, evaluation report, sorting control information, process feedback information, and application parameter information.

2. The method for analyzing the myopia control adaptability of photochromic lenses according to claim 1, characterized in that, The preset illumination scenarios include at least three different illumination scenarios containing ultraviolet radiation, and the sampling time nodes at least cover the initial state of the lens, the rapid color change response stage, the intermediate stabilization stage, and the long-term wearing stage.

3. The method for analyzing the myopia control adaptability of photochromic lenses according to claim 2, characterized in that, The preset illuminance scenarios include illuminance scenarios of (100000±5000) lx, (80000±4000) lx and (30000±1500) lx; The sampling time nodes include (0±1) min, (10±1) min, (30±1) min, (60±1) min and (150±1) min.

4. The method for analyzing the myopia control adaptability of photochromic lenses according to claim 2 or 3, characterized in that, The dynamic detection data includes the light intensity on the transmission side of the left and right lenses, lens transmittance, ultraviolet blocking rate, color change response parameters, fading response parameters, and response speed. The process-related data includes substrate batch, coating parameters, curing parameters, and annealing parameters; The user-related data includes age, degree of myopia, medication intervention status, and outdoor activity habits.

5. The method for analyzing the myopia control adaptability of photochromic lenses according to claim 4, characterized in that, The threshold compliance features include effective prevention and control threshold compliance features, enhanced prevention and control threshold compliance features, and strong light safety threshold compliance features, among which: The effective prevention and control threshold compliance feature is used to characterize the proportion of sampling points in all sampling points where the equivalent light intensity entering the eye is not lower than the first preset lower limit threshold. The enhanced prevention and control threshold compliance feature is used to characterize the proportion of sampling points in all sampling points where the equivalent light intensity value entering the eye is not lower than the second preset lower limit threshold. The strong light safety threshold compliance feature is used to characterize the proportion of sampling points in which the equivalent light value entering the eye does not exceed the preset safety upper limit threshold. The equivalent light value entering the eye is calculated based on the illuminance value corresponding to the preset illuminance scene and the lens transmittance. The first preset lower threshold is 1000 lx; ​​the second preset lower threshold is 3000 lx; ​​and the preset safety upper threshold is 8000 lx.

6. The method for analyzing the myopia control adaptability of photochromic lenses according to claim 5, characterized in that, The dynamic response class features include: Fast color-changing response characteristics used to characterize the light reduction capability of a photochromic lens under test within a preset short-time response range; Long-term stability characteristics used to characterize the degree of light transmission fluctuation of the photochromic lens under test during continuous wear; The color change response characteristics and fading response characteristics are used to characterize the time required for the photochromic lens under test to reach a preset response level under switching conditions of light and dark scenes. The preset short-time response interval is within 10 minutes after the lens is placed, and the continuous wearing phase includes at least sampling time nodes corresponding to 30 minutes, 60 minutes, and 150 minutes.

7. The method for analyzing the myopia control adaptability of photochromic lenses according to claim 6, characterized in that, The binocular consistency features include transmittance deviation, light intensity difference on the transmission side, and response difference of the left and right lenses under different illumination scenarios and different sampling time points; The basic compliance characteristics include full-band ultraviolet blocking rate and ground-state transmittance.

8. The method for analyzing the myopia control adaptability of photochromic lenses according to claim 7, characterized in that, The compatibility determination first involves a rejection process. For photochromic lenses that do not trigger a rejection process, a comprehensive evaluation is performed, including: A rejection decision will be made if any of the following conditions are met: the compliance rate of the enhanced prevention and control threshold is below 80%; the compliance rate of the effective prevention and control threshold is below 80%; the ultraviolet blocking rate in the basic compliance category is below 99%; or the difference in light transmittance between the left and right lenses in the binocular consistency category is greater than 15%. The comprehensive evaluation includes: based on threshold compliance features, dynamic response features, binocular consistency features, and basic compliance features, each key feature is converted into a corresponding feature score according to a preset mapping relationship, and then weighted and summarized according to the preset weights corresponding to each feature score to obtain the comprehensive evaluation result; The grade classification of the photochromic lens to be tested is determined based on the comprehensive evaluation results.

9. A photochromic lens myopia control adaptability analysis system, characterized in that, include: The data acquisition module is used to perform dynamic optical inspection on the photochromic lens under the preset illumination scene and sampling time node, acquire dynamic inspection data, and simultaneously acquire process-related data and user-related data. The data preprocessing module is used to perform outlier removal, missing value completion, normalization, and indexing on the raw data to build a standardized dynamic dataset. The feature extraction module is used to extract threshold compliance features, dynamic response features, binocular consistency features, and basic compliance features based on a standardized dynamic dataset. The adaptability determination module is used to perform a rejection determination based on preset bottom line conditions, and to perform a weighted summary based on the feature evaluation values ​​corresponding to various key features to obtain a comprehensive evaluation result; The results output module is used to output evaluation results based on the adaptability determination results, including grade classification, evaluation report, sorting control information, process feedback information, and application parameter information.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the myopia control adaptability analysis method for photochromic lenses according to any one of claims 1 to 8.

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