Method for generating prescription of optical stable photochromic multi-point out-of-focus myopia control lens

Abstract

The invention relates to the technical field of multi-point defocusing, in particular to an optical stable photochromic multi-point defocusing myopia control lens prescription generation method, which comprises the following steps of: based on eyes of a wearer, scanning cornea by using a non-contact optical device, extracting iris and pupil characteristics, monitoring an adjustment reaction, and performing three-dimensional reconstruction and multi-direction light path tracking analysis to obtain a myopia control lens prescription. And the distribution configuration of the annular belt is optimized, and the overlapping area is adjusted by combining the photochromic requirement, so that the fusion function partition structure is formed. Through collection of multi-source visual parameters and combination of spatial modeling and focusing path analysis, cut-through association of individual visual behaviors and structural attributes in lens customization is realized, functional requirements of different areas and photochromic response are dynamically fused through hierarchical adjustment of the spatial structure of an intervention area, and the visual performance of the lens is improved. And the material and microstructure data are synchronously output to a manufacturing link, so that the collaborative matching capability of the visual area partition is enhanced, and the requirements of a wearer on visual comfort and optical reaction are met.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of multi-point defocus, in particular to a prescription generation method of an optical stable photochromic multi-point defocus myopia control lens. BACKGROUND

[0002] The technical field of multi-point defocus involves adjusting and controlling the refractive state of the human eye through specially designed optical lenses, mainly focusing on using lens structures with multiple defocus regions to adjust the distribution of light entering the eye to delay the occurrence and development of myopia. Among them, the prescription generation of an optical stable photochromic multi-point defocus myopia control lens refers to generating a lens manufacturing scheme (i.e. lens prescription) that fits the individual needs of each wearer according to their individual eye-related parameters, combined with photochromic and defocus requirements. In addition, according to the lens prescription, the lens is prepared through processes such as injection molding or pressing, and is preliminarily customized according to the wearer's basic refractive parameters to produce the lens.

[0003] The existing technology is mainly based on single parameter collection and static space division, lacking deep integration with the specific visual behavior and spatial structure characteristics of the wearer, and unable to respond to dynamic needs in multiple scenarios, resulting in insufficient matching between the lens ring band functional area and the actual vision needs, difficulty in adapting the functional partition to the variable eye environment, unstable vision area correction and photosensitive response effect in some use scenarios, and difficulty in ensuring the simultaneous coordination of the overall performance of the lens under complex demands. SUMMARY

[0004] In order to solve the technical problems existing in the prior art, the present application provides a prescription generation method of an optical stable photochromic multi-point defocus myopia control lens. The technical solution is as follows: On the one hand, a prescription generation method of an optical stable photochromic multi-point defocus myopia control lens is provided, comprising the following steps: S1: Based on the wearer's eye, use a non-contact optical device to scan the cornea, extract the feature points of the iris boundary and the outer edge of the pupil, monitor the accommodation response changes, collect eye behavior and photochromic sensitivity, and obtain structured visual behavior parameters; S2: Based on the structured visual behavior parameters, three-dimensionally reconstruct each structure partition of the eyeball, analyze the focusing path of the main visual line, correlate the spatial distribution with the eye use scenario, adjust the intervention sequence, and obtain defocus intervention space priority data; S3: Based on the defocus intervention space priority data, refer to the multi-point defocus lens ring band structure parameters, partition search the ring band distribution, fine-tune the ring band spatial position of each partition, optimize the coverage area, and obtain the ring band structure distribution configuration; S4: Based on the distribution configuration of the ring structure, determine the range of the multi-point defocus intervention zone, combine the wearer's eye usage scenario and photochromic requirements, determine the spatial overlap between the defocus zone and the photochromic response zone, adjust the boundary of the overlapping functional area, and obtain the fused functional partition structure. S5: Based on the fusion functional partition structure, read the microstructure positioning and material layout parameters by partition, import the spatial layout and material parameters into the lens manufacturing process platform, and obtain customized lens data.

[0005] On the other hand, the structured visual behavior parameters include visual function data, pupil feature information, and photosensitivity response type; the defocus intervention spatial priority data includes intervention area division, focus adjustment order, and spatial priority indication; the ring structure distribution configuration includes functional ring hierarchy, ring spatial position, and coverage characteristic description; the fusion functional zoning structure includes overlapping area definition, zoning boundary attributes, and functional compounding allocation; and the customized lens data includes microstructure layout configuration, manufacturing material list, and data output format.

[0006] On the other hand, the specific steps for obtaining the structured visual behavior parameters are as follows: S101: Based on the wearer's eyes, the corneal surface is scanned through a non-contact optical device to obtain eye image data, identify the boundary features of the cornea, iris and pupil, analyze the geometric position of the outer edge of the pupil and the boundary of the iris, optimize the feature point localization, and obtain the coordinate set of the pupil and iris boundary. S102: Based on the set of coordinates of the pupil and iris boundaries, monitor the wearer's accommodation response dynamics, analyze the state changes of the ciliary muscle and lens based on continuous image or video data, track the focal length adjustment process, and obtain the accommodation response curve by fitting and analyzing the state change trend during the accommodation process in combination with time series changes. S103: Based on the aforementioned adjustment response curve, collect the wearer's eye behavior data, combine it with their daily activity scenarios, analyze the wearer's photochromic sensitivity in various environments, and obtain structured visual behavior parameters through correlation analysis between behavior data and sensitivity.

[0007] On the other hand, the specific steps for obtaining the defocus intervention space priority data are as follows: S201: Based on the structured visual behavior parameters, spatial localization of the cornea, anterior chamber, lens and retina is performed. An anatomical structure mesh is constructed using three-dimensional spatial coordinates. The boundaries of each structural region are optimized based on geometric algorithms. The structural partitions are adjusted in combination with the visual behavior parameters to obtain the coordinate set of the eyeball structural partitions. S202: Based on the coordinate set of the eye structure partition, set the incident points of multiple directions of the line of sight and mark the intersection area of ​​the visual axis, analyze the propagation path of light in each structure of the eye, fit the focusing path of each viewpoint, calculate the relationship between each path and the focal point of the retina, and obtain the main line of sight focusing path sequence. S203: Based on the main line of sight focusing path sequence, the spatial overlap area between each path and the eye use scene is marked, the usage intensity of each area is analyzed in combination with the eye use frequency data, and the intervention priority is adjusted according to the intensity ranking to obtain the defocus intervention spatial priority data.

[0008] On the other hand, the specific steps for obtaining the distribution configuration of the ring structure are as follows: S301: Based on the defocus intervention space priority data, analyze the spatial distribution of the wearer's eye center and peripheral refractive structures, and combine the wearer's visual behavior data to map each refractive region to obtain refractive structure spatial mapping data; S302: Based on the refractive structure spatial mapping data, combined with the ring structure parameters of the multi-point defocus lens, analyze the spatial distribution characteristics of each ring, partition and filter the rings according to each functional requirement, optimize the functional layout of the rings, and obtain the ring spatial distribution data. S303: Based on the spatial distribution data of the ring zone, adjust the spatial distribution of the ring zone, fine-tune the coverage range of each region's ring zone according to the intervention priority order, optimize the coverage area of ​​low priority regions, and obtain the ring zone structure distribution configuration.

[0009] On the other hand, the specific steps for obtaining the fusion functional partition structure are as follows: S401: Based on the distribution and configuration of the ring structure, determine the range of the multi-point defocus intervention zone within the lens design plane, evaluate the boundary of the defocus intervention zone by combining the wearer's eye usage scenario data, and determine the coverage range according to the eye's accommodation needs to obtain the defocus intervention zone range data. S402: Based on the defocusing intervention zone range data and the wearer's photochromic needs, analyze the spatial overlap between the defocusing intervention zone and the photochromic response zone, determine the overlapping area, and obtain the overlapping area data; S403: Based on the overlapping area data, the boundaries of each overlapping functional area are fine-tuned to optimize the overlapping area, and the boundary positions and area distribution are adjusted according to functional requirements to obtain a fused functional partition structure.

[0010] On the other hand, the specific steps for obtaining the customized lens data are as follows: S501: Based on the fusion functional partition structure, read the microstructure positioning data and material layout requirements of each partition in sequence, match the microstructure coordinates of each partition with the material properties, and obtain microstructure and material data; S502: Based on the microstructure and material data, import the spatial layout information and material parameters of each partition into the lens manufacturing process platform, perform an integrated layout operation, and obtain customized lens data.

[0011] On the other hand, the change in regulatory response refers to the reaction process of the ciliary muscle and lens state changing over time when the eye's focusing distance changes, and the photochromic sensitivity refers to an individual's subjective sensitivity to the speed of lens color change, color change status, and changes in ambient light.

[0012] On the other hand, the aforementioned structural partitions of the eyeball refer to the spatial partitioning of the cornea, anterior chamber, lens, and retina through three-dimensional modeling, and the focal path refers to the path of light from entering the eye to focusing or defocusing on the retina.

[0013] On the other hand, the boundary fine-tuning process specifically involves using a geometric optimization algorithm based on a spatial coordinate system to fine-tune the boundaries of each functional area within the overlapping area. This algorithm adjusts the functional area boundaries according to preset spatial density and positional constraints. The preset spatial density includes a weighted consideration of the frequency of use of the area.

[0014] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following: By collecting multi-source visual parameters and combining spatial modeling and focusing path analysis, the system achieves a seamless connection between individual visual behavior and structural attributes in lens customization. Through hierarchical adjustment of the spatial structure of the intervention area, the functional requirements of different areas are dynamically integrated with photochromic responses. Material and microstructure data are simultaneously output to the manufacturing process, enhancing the ability of visual area zoning and collaborative matching. This supports diverse eye usage scenarios and environmental changes, meets the wearer's comprehensive needs for visual comfort and optical response, and improves the stability and response consistency of the lens in dynamic environments. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart of the main steps of the present invention; Figure 2 This is a flowchart of steps S1 of the present invention; Figure 3 This is a flowchart of steps S2 of the present invention; Figure 4 This is a flowchart of steps S3 of the present invention; Figure 5 This is a flowchart of step S4 of the present invention; Figure 6 This is a flowchart of step S5 of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0018] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0019] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0020] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0021] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0022] This invention provides a method for generating prescriptions for optically stable photochromic multi-point defocus myopia control lenses, such as... Figure 1 As shown, it includes the following steps: S1: Based on the wearer's eyes, a non-contact optical device is used to continuously scan the corneal surface, extract feature points of the iris boundary and the outer edge of the pupil, monitor the dynamics of the accommodation response, collect eye behavior and photochromic sensitivity item by item, and obtain structured visual behavior parameters. S2: Based on structured visual behavior parameters, the eyeball is reconstructed and its structural partitions are restored through three-dimensional structural reconstruction. Multi-directional optical path tracking is used to analyze the focusing path of the main line of sight one by one. The spatial distribution information is matched with the eye use scenario. The intervention order is adjusted from high to low according to the frequency of use of the area to obtain the spatial priority data for defocus intervention. S3: Based on the spatial priority data of defocus intervention, the spatial correspondence between the wearer's center and the surrounding refractive structure is considered. Combined with the ring structure parameters of the multi-point defocus lens, the ring distribution data is retrieved in sections. The position of the ring in each section is finely adjusted according to the intervention priority order to reduce the ring coverage area of ​​the lower priority area and obtain the ring structure distribution configuration. S4: Based on the ring structure distribution configuration, locate the range of multi-point defocus intervention zone in the lens design plane, combine the photochromic needs of the wearer's eye use scenario, determine whether the defocus intervention zone and the photochromic response area overlap in space, adjust the boundary of the functional area with overlap area by area, and obtain the fused functional partition structure. S5: Based on the integrated functional zoning structure, the microstructure positioning and material layout requirements are read sequentially according to each zone. All spatial layout points and material parameters are imported into the lens manufacturing process platform, and an integrated layout operation is performed to obtain customized lens data.

[0023] Structured visual behavior parameters include visual function data, pupil feature information, and photosensitivity response type; defocus intervention spatial priority data includes intervention area division, focus adjustment order, and spatial priority indication; ring structure distribution configuration includes functional ring hierarchy, ring spatial location, and coverage characteristic description; fusion functional zoning structure includes overlapping area definition, zoning boundary attributes, and functional compounding allocation; and customized lens data includes microstructure layout configuration, manufacturing material list, and data output format.

[0024] In S1, non-contact optical devices refer to instruments and equipment that scan the eye structure without direct contact with the eye and utilize optical principles (such as OCT, Scheimpflug imaging, etc.); feature point extraction refers to the operation of locking key boundaries or geometric locations (such as the outer edge of the pupil and the edge of the iris) in the scanned corneal, iris, and pupil images using image algorithms; accommodation response dynamics refers to the reaction process of the ciliary muscle and lens state changing over time when the eye's focusing distance changes, usually obtained through continuous shooting or measurement; eye use behavior refers to the wearer's specific habits and environmental categories in daily life, such as reading, looking into the distance, and using screens; photochromic sensitivity refers to an individual's subjective sensitivity to the speed of lens color change, the color change situation, and changes in ambient light.

[0025] In S2, the structural partitioning of the eyeball refers to the spatial partitioning of the anatomical parts of the eye, such as the cornea, anterior chamber, lens, and retina, through 3D modeling; multi-directional light path tracing refers to simulating the propagation path of light entering the eyeball from different perspectives and tracking its refraction and focusing behavior in each structure; focusing path refers to the actual path of light from entering the eye to focusing (or defocusing) on ​​the retina; spatial distribution information refers to the 3D spatial location information related to actual eye activity scenarios (such as eye height, distance, and direction); area usage frequency refers to the probability or number of times a certain visual field or spatial area appears in daily visual tasks; intervention sequence refers to adjusting the priority of vision intervention measures in different visual field areas according to the area usage frequency and individual needs.

[0026] In S3, the central and peripheral refractive structures refer to the structural characteristics and differences in refractive power (i.e., light focusing ability) of the central axis (macula) and its surrounding areas in the eye; spatial correspondence refers to the one-to-one correspondence between different refractive areas in the center and periphery and different functional areas of the lens in space; lens ring structure parameters refer to the specific geometric and optical parameter information of the multi-layer defocus functional rings arranged concentrically around the optical center when designing the lens; ring distribution data refers to the specific position and coverage data of each lens ring in space (planar or spherical); fine-tuning the position of each zone ring refers to appropriately adjusting the spatial position of some rings according to intervention needs, so that they can act more accurately on the corresponding visual field area; ring coverage area refers to the actual area covered by each functional ring on the lens surface or in space.

[0027] In S4, the multi-point defocus intervention zone range refers to the actual spatial range of the functional area zone defined in the lens design to achieve the multi-point defocus effect; photochromic demand refers to the individual's actual requirements for the lens's photochromic performance, area, speed, and sensitivity; the photochromic response zone refers to the functional area in the lens that can respond to external light intensity and undergo a photochromic reaction; the overlapping functional area refers to the area where the multi-point defocus zone and the photochromic response zone overlap in space, and the area has both defocus and photochromic functions; adjusting the boundary refers to correcting or fine-tuning the spatial boundary line or block edge of the overlapping or adjacent functional areas.

[0028] In S5, each zone refers to a different functional block (such as defocus zone, photochromic zone, etc.) segmented based on the aforementioned analysis in lens design; microstructure positioning refers to determining the accurate coordinate position of one or more microstructural elements in space during lens manufacturing; material layout requirements refer to the manufacturing requirements of different blocks for material type, distribution density, thickness, etc.; spatial layout refers to determining and recording the spatial distribution points of all functional points and microstructures on the plane or curved surface of the lens structure; material parameters refer to the detailed attribute requirements such as the specific type of material, optical performance indicators, and response characteristics; lens manufacturing process platform refers to the comprehensive processing equipment and information system platform used in the lens manufacturing process; integrated layout operation refers to the manufacturing operation process of uniformly planning and implementing all structural and material data.

[0029] In addition, specifically: D1 acquires the wearer's ocular biometric data and personalized visual needs parameters. The ocular biometric data includes corneal curvature, axial length, pupil diameter, and accommodative hysteresis. The personalized visual needs parameters include the distribution of daily eye use scenarios, sensitivity to glare, and preference for the speed of lens color change. D2, based on ocular biometric data, constructs a personalized optical model of the wearer's eyeball and calculates the distribution map of the defocus amount required by the retina under different field of view. D3. Based on the defocus distribution map, design the spatial arrangement parameters and geometric morphology parameters of the distributed defocus microstructure layer. The spatial arrangement parameters include the latitude and longitude coordinates of the center point of the microstructure unit on the lens surface, and the geometric morphology parameters include the radius of curvature, sag, and edge transition slope of each microstructure unit. In step D1, the wearer's eye biometric data and personalized visual needs parameters are obtained.

[0030] Ocular biometric data acquisition was performed using a non-contact biometric instrument. This instrument emits a low-coherence beam to scan the anterior segment of the eye, reconstructing the curvature of the anterior and posterior corneal surfaces, anterior chamber depth, lens thickness, and total axial length through interference signals. Pupil diameter data was obtained by capturing the pupil's edge contour under standard lighting conditions using an infrared imaging system and calculating its equivalent circle diameter. Accommodative hysteresis was measured using dynamic retinoscopy, requiring the wearer to fixate on targets at different distances, and recording the hysteresis difference between their accommodative response curve and the ideal accommodative curve. Personalized visual needs parameters were collected through a standardized questionnaire. The questionnaire covered the wearer's daily time spent in scenarios such as indoor office work, outdoor activities, and night driving, their subjective discomfort rating for glare under strong light, and their expected time required for the lens to transition from a transparent to a dark state. All collected data was stored in a structured format in a central database for subsequent use by the optical model building module. This step ensured that the lens design was based entirely on the wearer's physiological characteristics and subjective preferences, laying the foundation for precise personalized myopia control.

[0031] In step D2, a personalized optical model of the wearer's eye is constructed based on ocular biometric data to calculate the required defocus distribution map of the retina at different field of view angles. The personalized optical model is constructed using a ray tracing algorithm, simplifying the eyeball into a multi-layered optical system composed of the cornea, aqueous humor, lens, and vitreous humor. The refractive index and thickness of each layer are directly assigned from the biometric data. The model's input is the incident direction of parallel incident rays at different field of view angles, and the output is the focal position of the rays on the retinal plane. By comparing the positional difference between the focal position and the ideal retinal plane, the required defocus amount at that field of view angle is calculated. The calculation process covers a range from zero degrees in the central visual field to forty degrees in the peripheral visual field, generating defocus data points at five-degree intervals.

[0032] For wearers with significant accommodative lag, the model incorporates an additional negative defocus offset during calculation to compensate for hyperopic defocus caused by insufficient accommodative ability. The resulting defocus distribution map is a two-dimensional matrix, where row indices correspond to the horizontal field of view, column indices to the vertical field of view, and matrix elements represent the required defocus amount at that field of view, in diopters. This map serves as the direct basis for the design of the distributed defocus microstructure layer, ensuring that the lens provides physiologically appropriate defocus stimulation in any gaze direction.

[0033] In step D3, based on the defocus distribution map, the spatial arrangement and geometric parameters of the distributed defocus microstructure layer are designed. The distributed defocus microstructure layer consists of tens of thousands of micrometer-level protrusions or depressions, each of which introduces a small additional optical power in a local area. The design principle of the spatial arrangement parameters is to match the density distribution of the microstructure units with the spatial gradient of the defocus distribution map. In areas with drastic changes in defocus, such as the nasal peripheral field of view, the microstructure units are densely arranged; in areas with gradual changes in defocus, such as the temporal field of view, the microstructure units are sparsely arranged.

[0034] Specifically, the front surface of the lens is divided into several hexagonal grid regions. The coordinates of the center point of each grid region are defined by the latitude and longitude system, with longitude ranging from -30 degrees to 30 degrees and latitude ranging from -20 degrees to 20 degrees. A microstructure unit is arranged in each grid region, and its position is the center point of the grid. The design of the geometric parameters is based on the thin lens formula, converting the required defocus amount into the local curvature of the microstructure unit. For convex microstructures, the relationship between the radius of curvature R and the defocus amount D is determined by Formula 1: D = (n - 1) / R Wherein, n is the refractive index of the basic optical resin material, which is taken as 1.25. According to this formula, the greater the defocus, the smaller the required radius of curvature, that is, the steeper the microstructure protrusion. The sag parameter is determined by the radius of curvature and the bottom diameter of the microstructure unit to ensure a smooth transition between the microstructure edge and the lens substrate, avoiding the generation of scattered light spots. The edge transition slope is limited to between 0.5 and 2 degrees to ensure visual comfort. The design parameters of all microstructure units are stored in the three-dimensional geometric model file for the lens manufacturing equipment to read, execute and manufacture the lens.

[0035] like Figure 2 As shown, the specific steps for obtaining structured visual behavior parameters are as follows: S101: Based on the wearer's eyes, the corneal surface is scanned through a non-contact optical device to obtain eye image data, identify the boundary features of the cornea, iris and pupil, analyze the geometric position of the outer edge of the pupil and the boundary of the iris, optimize the feature point localization, and obtain the coordinate set of the pupil and iris boundary. The corneal surface is scanned using a non-contact optical device. Near-infrared light and a high-resolution photosensitive device are used for image acquisition. During acquisition, the wearer is guided to maintain a stable gaze by fixing a fixed target. After continuously acquiring a sequence of static images, the anterior corneal surface boundary is identified using grayscale gradient changes. Pixel-by-pixel analysis of grayscale changes identifies abrupt changes, and curve fitting is performed on the locations of these abrupt changes to determine the coordinates of the corneal outer edge. Subsequently, the iris region is segmented based on differences in image brightness and texture, and regions matching grayscale characteristics are extracted as initial pupil candidate regions. Noise regions are removed through region connectivity analysis, and closed boundary curves are detected to confirm the pupil contour. Further processing is then performed... The circular texture structure in the image is analyzed to identify the inner and outer boundaries of the iris. Coordinate points on the boundary are sampled at equal angular intervals according to the image resolution. Local contrast analysis is performed on the area surrounding each point, and the degree of contrast change is used as the reference weight for each boundary point. The boundary curve is smoothed and optimized using a weighted average method. Outliers with excessively drastic curvature changes are excluded during the processing, and their coordinate positions are readjusted to make them closer to the trend of the surrounding boundary. The above operation is repeated to process each frame of the entire image sequence one by one. The coordinates of the boundary points of the outer edge of the pupil, the inner edge of the iris, and the outer edge identified in each frame are uniformly summarized to obtain a complete and optimized set of pupil and iris boundary coordinates.

[0036] S102: Based on the coordinate set of the pupil and iris boundary, monitor the dynamics of the wearer's accommodation response. Based on continuous image or video data, analyze the state changes of the ciliary muscle and lens, track the focal length adjustment process, and combine time series changes to obtain the accommodation response curve by fitting and analyzing the state change trend during the accommodation process. Keyframes from continuous image or video sequences are selected and processed frame by frame. By comparing changes in pupil diameter and iris boundary between consecutive frames, the activity state of the ciliary muscle is identified, and the accommodation stage is distinguished based on the magnitude of the change. The pupil size and iris morphology of each frame are recorded via a time axis. If the pupil diameter continuously increases and the iris boundary expands outward within a certain time period, it is considered a relaxation process; otherwise, it is considered a tension process. The relative positions of the anterior and posterior boundaries of the lens in the image are also recorded. The change in lens thickness over time is analyzed in conjunction with the boundary change trend. Based on this, the data of all frames are arranged in chronological order, and the trends of changes in pupil diameter, iris boundary curvature, and lens thickness are judged. The data is structured by dividing it into feature segments. If a segment shows rapid boundary movement in multiple consecutive frames with significant lens changes, it is identified as a rapid accommodation segment. The segments are connected end to end and trend smoothing is performed using interpolation. The segments are combined into a complete accommodation response curve to describe the movement trend and response intensity of the eye's accommodation structure at different times, forming the accommodation response curve as the basic input for the next stage of analysis.

[0037] S103: Based on the accommodation response curve, collect the wearer's eye behavior data, combine it with their daily activity scenarios, analyze the wearer's photochromic sensitivity in various environments, and obtain structured visual behavior parameters through the correlation analysis between behavior data and sensitivity. Based on the time-varying information of the accommodation response curve, it is mapped to the wearer's eye behavior data, and tagged with the daily activity scenarios provided by the wearer in the questionnaire. Specific behaviors occurring in the morning, noon, and evening are marked separately, such as reading in the morning, going out at noon, and using electronic screens at night. The fluctuation amplitude and response speed of the accommodation curve during activities are analyzed, and representative feature values ​​of the dynamic eye response under each scenario are extracted. The actual recorded ambient light data in each scenario are organized, and different light intensity scenarios are classified by setting fixed intervals. The correlation between accommodation response and light environment is compared. Then, the wearer's subjective evaluation score of photochromic lenses under various lighting conditions is analyzed, and the score is converted into a rating ratio and cross-compared with the accommodation response amplitude. All scenarios are graded according to the wearer's activity intensity and light change response needs. Different sensitive groups are divided by comparing the degree of difference between accommodation characteristics and light change sensitivity. Then, a joint attribute with behavioral response characteristics and light change response evaluation value is constructed for each scenario. After normalizing all data, a unified structured visual behavior parameter dataset is output.

[0038] like Figure 3 As shown, the specific steps for obtaining the defocus intervention space priority data are as follows: S201: Based on structured visual behavior parameters, spatial localization of the cornea, anterior chamber, lens and retina is performed. An anatomical structure mesh is constructed using three-dimensional spatial coordinates. The boundaries of each structural region are optimized based on geometric algorithms. The structural partitions are adjusted in combination with visual behavior parameters to obtain the coordinate set of the eyeball structural partitions. Data such as the wearer's pupil center coordinates, visual axis direction, and ciliary muscle range of motion were extracted. The anterior corneal surface, anterior chamber depth, anterior and posterior lens interfaces, and fovea position were spatially located sequentially. During corneal localization, a coordinate mapping relationship was established between the wearer's iris edge and the corneal apex, and the variation trend of corneal curvature in the horizontal and vertical directions was determined by combining the three-dimensional depth data of the image. Subsequently, the relative position of the pupil's outer edge was selected for comparison during iris localization to identify the spatial distribution of the iris and determine its morphological characteristics by combining the refractive axis offset. Then, the spatial boundary of the lens region was set according to the ciliary muscle activity amplitude and the range of lens thickness variation. The above structures were arranged according to anatomical hierarchy and a point set was constructed in a three-dimensional coordinate system. A structural mesh was constructed at 0.1 mm intervals and divided along the Z-axis. The system generates an initial anatomical structure mesh. During boundary optimization, the boundaries of the cornea, lens, and retina are smoothed. The Euclidean distance between each mesh point and its surrounding points is calculated. Nodes with a distance difference greater than a set threshold of 0.3 mm are replaced and repositioned. In the positioning operation, the adjustment direction of the mesh point on the mesh surface is set according to the degree of offset between the mesh point and the central axis of the structure, ensuring that the curvature of each boundary remains uniform in spatial continuity. Based on the visual task frequency label in the structural behavior parameters, frequently used visual areas are prioritized for adjustment. For example, for wearers whose reading frequency label is higher than 50%, the area within 20 degrees above and below the visual axis will be classified as a high-frequency use structural block. Based on this, functional zones with differentiated usage characteristics are divided, and the coordinate set of the eye structure zones is output.

[0039] S202: Based on the coordinate set of the eye structure partition, set the incident points of multiple directions of the line of sight and mark the intersection area of ​​the visual axis. Analyze the propagation path of light in each structure of the eye, combine the focusing path of each viewpoint to fit, calculate the relationship between each path and the focal point of the retina, and obtain the main line of sight focusing path sequence. First, multiple line-of-sight incident points are set outside the eyeball model. Each line of sight is projected into the eyeball model at different elevation and azimuth angles, with the center of the wearer's pupil as the reference origin. The incident points are spaced 10 degrees apart, corresponding to typical eye use directions such as reading, screen viewing, and outdoor distant viewing. During calibration, the angle between the incident light rays on the anterior surface of the cornea and the actual visual axis is calculated. All light rays are recorded according to their propagation trajectory in the eye after refraction. The intersection point between the refracted light rays and the anterior surface of the lens is traced along the path from the cornea to the anterior chamber. Then, the direction of travel after refraction into the lens is calculated, and the exit direction after passing through the lens thickness is recorded. The intersection of the path and the retina position is used to track all light rays and record their landing positions on the retina and their spatial deviation from the fovea. All light rays are stored as independent path sequences according to their incident numbers in different directions. During the calibration of the visual axis intersection area, path points within 0.2 mm of the retina fovea are selected and clustered as the main visual axis region. The incident direction, number of refractive segments, and path length of all path points in this region are recorded. Trend fitting is performed on the path, and spatial smoothing is used to connect the discrete path segments to form a continuous main visual line focusing path sequence.

[0040] S203: Based on the main line of sight focusing path sequence, the spatial overlap area between each path and the eye use scene is marked, and the usage intensity of each area is analyzed in combination with eye use frequency data. The intervention priority is adjusted according to the intensity ranking to obtain the defocus intervention spatial priority data. Based on the primary line of sight focusing path sequence, the areas traversed by each path in three-dimensional space are matched with the wearer's predefined visual scenarios. The matching method is to calculate the spatial intersection between the path's movement range in space and the daily visual task area. If the path spends more than 30% of its time in a certain area, it is marked as a key usage area for that scenario. Then, based on the visual frequency data in the behavioral parameters, the frequency of all overlapping areas is statistically analyzed. Based on the statistical results, each area is assigned a usage intensity level: areas with a frequency exceeding 60% are defined as high-intensity areas, 30% to 60% as medium-intensity areas, and less than 30% as low-intensity areas. All spatial blocks are numbered and sorted according to the intensity level distribution. The top 20% of high-intensity areas are set as Level 1 intervention areas, 21%-50% as Level 2 intervention areas, and the rest as Level 3 intervention areas. When setting the area priority, if an area of ​​the same level overlaps with the primary line of sight, its priority is increased by one level. Areas that do not overlap but are within 5 degrees of the primary line of sight are given half a level of priority. Finally, the priority numbers of all areas are jointly labeled with their spatial coordinates to form defocus intervention spatial priority data.

[0041] like Figure 4 As shown, the specific steps for obtaining the distribution configuration of the ring structure are as follows: S301: Based on defocus intervention space priority data, analyze the spatial distribution of the wearer's central and peripheral refractive structures, and combine the wearer's visual behavior data to map each refractive region to obtain refractive structure spatial mapping data; First, the three-dimensional coordinate points of all high-priority, medium-priority, and low-priority spatial regions in the data are extracted. The focal offset direction, incident angle, and visual axis angle within each region are then classified. When analyzing the spatial distribution of the refractive structures at the center and periphery of the wearer's eyeball, the macula is first determined as the starting point of the visual axis, and its coordinates on the eyeball surface are recorded. Then, equally spaced concentric circles are established outwards, dividing the distance from the center to the edge into three regions: 0-2mm, 2-4mm, and 4-6mm, labeled as the central, mid-peripheral, and far-peripheral regions, respectively. Spatial interpolation is performed on the corneal curvature, anterior chamber depth, and lens thickness of each region to generate a refractive power distribution map for each region. The extension direction and curvature of each structure in space are marked on each visual plane in the form of slices perpendicular to the visual axis. The changes in the interstices between different regions are then compared. The refractive curvature gradient is categorized, with curvature changes less than 0.5D / mm defined as a gradual change region, 0.5D / mm to 1.2D / mm as a moderate change region, and values ​​exceeding 1.2D / mm as a sudden change region. The distribution of each structure is paired with the visual activity direction in the wearer's daily eye use data. For example, for wearers who use screens for more than 3 hours a day, their visual direction is concentrated within ±10 degrees of the eyeball center, so the central refractive structure is mapped to this behavior label. At the same time, for wearers with hyperopia, if their daily outdoor activity time exceeds 2 hours and they mainly focus on distant targets during the activity, the peripheral refractive structure is linked to this behavior label. In this way, the spatial correspondence binding between refractive structures and various visual behavior labels is completed sequentially, and the mapped coordinate relationship data is recorded to form refractive structure spatial mapping data.

[0042] S302: Based on the refractive structure spatial mapping data and combined with the ring structure parameters of multi-point defocus lenses, the spatial distribution characteristics of each ring are analyzed. The rings are partitioned and screened according to each functional requirement, and the functional layout of the rings is optimized to obtain the ring spatial distribution data. Structural parameters of each functional ring in the lens design are extracted, clarifying the center distance, width, optical refractive power distribution range, and refractive surface tilt angle of each ring to construct a complete initial ring set. The coordinates of each ring on the lens plane are spatially projected and transformed to unify with the coordinate system after refractive structure mapping. When analyzing the spatial distribution characteristics of the rings, it is determined whether the edges of each ring coincide with high-frequency usage areas. By calculating the overlap rate between the ring boundary and the refractive mapping area boundary, if the overlap area exceeds 60%, the ring is classified as a key intervention zone; otherwise, if the overlap rate is less than 30%, it is marked as a low-intervention coverage zone. During the zoning and screening, all key intervention zones are classified according to their overlap area. The distribution mean of focal offset in the domain is arranged from largest to smallest, and the direction of refractive accommodation trend in each band is recorded. Bands with focal offset greater than +1.0D and whose areas are marked as high-priority intervention are retained, while bands with offset less than +0.25D are screened out. Then, combined with the wearer's visual sensitivity direction in different fields of view, the structure of each band is finely adjusted. For example, for wearers with reading preferences, the width of the band in the vertical direction is appropriately narrowed to within 0.8mm, while it is appropriately widened to 1.2mm in the horizontal direction. The functional distribution density of each area is adjusted accordingly, and the optimized center point position of each band and its optical design parameters are recorded together as the band spatial distribution data.

[0043] S303: Based on the spatial distribution data of the ring zone, the spatial distribution of the ring zone is adjusted, the coverage range of each region's ring zone is fine-tuned according to the intervention priority order, and the coverage area of ​​low priority regions is optimized to obtain the ring zone structure distribution configuration; First, the coverage parameters of all annular bands on the lens are extracted and mapped to the functional area numbers in the intervention spatial priority data. The spatial positions of all annular bands are then sorted according to intervention priority. During sorting, the annular band positions in the first-level priority area are set to not exceed ±0.2mm displacement, thus fixing their spatial positions. Adjustment permissions are set for annular bands in the second and third-level areas. The coverage is linearly scaled based on the average visual task frequency of the area. If the frequency in the second-level area is below 40%, the annular band area is compressed to 75% of its original area; if it is below 30%, it is compressed to 60%. This process is repeated. Set the coverage area adjustment value for each region. During the adjustment process, the minimum interval between the rings must be maintained at more than 0.5mm to prevent functional interference. After all adjustment operations are completed, the edges between the rings are smoothly connected to avoid abrupt changes in functional transition. Then, a full scan of the entire lens structure is performed to identify whether there is a functional blind spot caused by the compression of the coverage area. If so, the boundary expansion operation is performed on the rings with similar priority in the adjacent regions to fill the gap. The resulting lens structure map is then reconstructed in three dimensions to confirm that the spatial layout of all rings is consistent with the refractive mapping area. The adjusted ring structure distribution configuration is then output.

[0044] like Figure 5 As shown, the specific steps for obtaining the integrated functional partition structure are as follows: S401: Based on the ring structure distribution configuration, the range of the multi-point defocus intervention zone is determined within the lens design plane. Combined with the wearer's eye usage scenario data, the boundary of the defocus intervention zone is evaluated, and the coverage range is determined according to the eye's accommodation needs, thus obtaining the defocus intervention zone range data. First, the spatial coordinates of all arranged rings are extracted within the lens design plane. A polar coordinate diagram is drawn with the lens optical center as the origin. The boundary points of each ring are then transformed to the design plane coordinate system using polar radius and polar angle. Continuous ring regions are identified, and their envelope curves are fitted to form the preliminary boundary of the multi-point defocus intervention zone. Subsequently, based on the eye usage scenario data provided by the wearer, the incident angle of the visual axis, fixation frequency, and duration corresponding to each scenario are statistically analyzed, and the angular range of their projection on the lens surface is marked. For example, screen reading corresponds to a horizontal ±10 degree and a vertical ±5 degree area, while distance fixation corresponds to a horizontal ±15 degree and a vertical ±10 degree area. The overlap between the area and the rings is compared one by one. If the number of rings in the projection area is greater than 3 and the total coverage width exceeds 2... If the distance is 0.5mm, the area is marked as a high-density field-of-view intervention zone. When evaluating the boundary of the intervention zone, the length of the curve boundary of the area overlapping with the field of view within the intervention zone is first accumulated. If the boundary is continuous and the rate of curvature change is less than 0.2mm / mm, it is determined to be a stable boundary zone; otherwise, it is a transitional accommodation zone. The original boundary is maintained for the stable zone, and the transitional zone is trimmed according to the accommodation needs of the eye. For example, in the accommodation response curve, if the accommodation response amplitude of the area is higher than 1.2mm / 3s, the coverage of the area is expanded outward by 0.5mm, and the area with a response amplitude lower than 0.6mm / 3s is contracted inward by 0.3mm. After the boundary of all intervention zones in the lens design plane is corrected in this way, all adjusted boundaries are closed to obtain the defocus intervention zone range data.

[0045] S402: Based on the defocus intervention zone range data and combined with the wearer's photochromic needs, analyze the spatial overlap between the defocus intervention zone and the photochromic response zone, determine the overlapping area, and obtain the overlapping area data; The set of two-dimensional coordinates of each functional area within this range on the lens design plane is extracted. Then, the wearer's photochromic requirement parameters are imported, including sunlight duration, ambient illuminance distribution, color-changing response time, and the user's sensitivity feedback rating to color changes. The defined photochromic response area in the lens is spatially extracted by calibrating the distribution area of ​​photosensitive materials on the lens surface that respond to visible light radiation and undergo color changes. This area is then subjected to spatial curved surface projection to obtain its boundary envelope. Spatial overlap judgment is then performed between this envelope and the set of intervention zone coordinates. Specifically, each intervention zone boundary point is used as a reference to set outwards a buffer zone. With a buffer zone width of 0.2 mm, calculate the Euclidean distance between the buffer zone and any point within the light response zone. If the distance between any two points is less than the set buffer zone width, it is considered an overlapping area. Record the corresponding intervention zone number and light response zone number for each overlapping point. Perform cluster analysis on all overlapping points, dividing the areas with continuous boundary overlap into unit blocks. If the area of ​​each unit block is greater than 4.5 mm², it is marked as a primary overlapping area; if it is less than 2 mm², it is classified as a secondary overlapping area. Then, according to the area number, calculate the center coordinates, area value, overlap angle, and overlap rate of all overlapping areas, construct an overlapping area data table, and output the overlapping area data.

[0046] S403: Based on the overlapping area data, the boundaries of each overlapping functional area are fine-tuned to optimize the overlapping areas. The boundary positions and area distribution are adjusted according to functional requirements to obtain the fused functional partition structure. For each overlapping functional area unit, a fine-tuning operation of the partition boundaries is performed. First, the main overlapping areas are processed with high priority, and their boundary curves are extracted and defined as boundaries to be optimized. Then, the defocus intervention level and photochromic sensitivity level corresponding to this area are read. The defocus intervention level is set to three levels according to the intervention space priority data, labeled as 1, 2, and 3 respectively. The photochromic sensitivity level is divided into three levels according to user rating from 0 to 10: a score above 7 is defined as high sensitivity, 4 to 7 as medium sensitivity, and a score below 4 as low sensitivity. The two levels are weighted and evaluated. When the intervention level corresponding to an overlapping area is 1 and the photochromic sensitivity level is high sensitivity, the weight of intervention is set to 0.6 and photochromic sensitivity to 0.4. The intervention zone is retained first at the boundary. The region is expanded 0.2mm outward from the light-changing response area and compressed 0.1mm in the direction of the light-changing area. Conversely, for some pre-levels of 3 and color-changing levels of high sensitivity, the boundary of the light-changing area is retained, and the intervention zone is contracted by 0.3mm. At the same time, a buffer transition area is set between the transition boundaries, with a width controlled within 0.5mm, to transition the boundary changes of the two functions. This buffer area is set as a composite function buffer. In the secondary overlapping area, if the two function levels are the same, the boundary adjustment ratio is set according to the principle of equal area of ​​the two regions. The regions are translated along their respective boundary center lines by no more than 0.2mm, and the area and boundary closure of the adjusted region are recalculated. Full lens surface mapping is performed on all boundary adjustment regions to ensure continuous and smooth boundary connections and output the fused functional partition structure.

[0047] like Figure 6 As shown, the specific steps for obtaining customized lens data are as follows: S501: Based on the integrated functional zoning structure, the microstructure positioning data and material layout requirements of each zoning are read sequentially, and the microstructure coordinates of each zoning are matched with the material properties to obtain microstructure and material data; The system reads the spatial boundary coordinates of each functional zone within the lens design plane and then places points at equal intervals within each zone. The spacing is set according to the usage frequency of the functional zone: 0.2mm for high-frequency zones, 0.5mm for mid-frequency zones, and 1.0mm for low-frequency zones. During microstructure positioning data reading, the system records the two-dimensional coordinates of each point and labels it with the corresponding functional tag based on its functional zone type, such as defocus intervention zone, optical change response zone, or composite functional zone. Next, it extracts data fields from the material layout requirements file, reading key attributes such as optical refractive index, color change response time, material particle size, microlens array structure, and ultraviolet response threshold. The system matches the functional tag of each point's zone with the material requirements list, determining the compatibility of materials with functional requirements during the matching process. If the required correspondence meets the layout constraints, and the functional area requires a color change time of less than 3 seconds while the material response time field is 5 seconds, it is judged as a mismatch and the material must be excluded. After passing all constraint filtering, the material binding operation is performed according to the functional area. For example, in a defocus intervention area, a material with a refractive power of +1.5D is required, and a microlens structure array is also required. A material unit with a lens array diameter of 0.4mm is selected, and the material number and the corresponding microstructure layout point coordinates are recorded to form a mapping record. Then, this information is converted into a structural data unit containing layout point coordinates, material number, structure number, and corresponding level number. The above operation is repeated to traverse all functional areas in turn, and the layout point and material pairing and binding are performed in each area to form a microstructure and material data set consisting of microstructure points and their corresponding material properties.

[0048] S502: Based on the microstructure and material data, the spatial layout information and material parameters of each partition are imported into the lens manufacturing process platform, and an integrated layout operation is performed to obtain customized lens data. First, organize the layout information of all functional zones according to their area numbers. Combine the two-dimensional coordinates of each point with its corresponding zone, material number, and structure number to form a complete information unit. Then, open the parameter import interface module in the lens manufacturing process platform, set the lens surface base model to spherical or aspherical, and set the curvature range (e.g., setting the base spherical curvature to 7.8mm). During the import process, map all point coordinates to the actual lens surface. By performing point transformation using the spherical height function, project and convert the planar coordinate data to three-dimensional spatial coordinates. After spatial mapping, compensate and correct the Z-axis height of all points to match the positioning accuracy of the manufacturing platform. After correction, use the material number as a template field in the layout module. The printing parameters of the bound materials are retrieved sequentially according to the layout order, including key data such as material viscosity, curing method, and laying thickness. For each layout point, the material placement path and processing trajectory are set. The manufacturing platform executes the layout in sequence according to the process priority. For example, the defocus area is prioritized to be placed in the central area, and the optical change area is placed in the edge area. When two areas have overlapping layout points, it automatically determines whether the two functions conflict. If they are different functions on the same layer, the material mixing process path is started. If they are mutually exclusive materials, the layout failure is indicated and the conflict point number is output for manual adjustment. All layout material parameters and layout order information are integrated into a lens structure layout data file, and a layout instruction set for equipment call is generated according to the platform requirements, forming customized lens data.

[0049] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for generating a prescription for an optically stable photochromic multi- point through-focus myopia control lens, characterized in that, The method comprises: S1: based on the wearer's eye, using a non-contact optical device to scan the cornea, extracting the feature points of the iris boundary and the outer edge of the pupil, monitoring the accommodation response changes, collecting the eye behavior and the photochromic sensitivity, and obtaining the structured visual behavior parameters; S2: based on the structured visual behavior parameters, three-dimensional reconstruction of the structure partition of the eyeball, analysis of the focusing path of the main visual line, correlation of the spatial distribution and the eye scene, adjustment of the intervention order, and obtaining the out-of-focus intervention space priority data; S3: based on the out-of-focus intervention space priority data, referring to the multi-point out-of-focus lens ring structure parameters, partitioning the ring band distribution, fine-tuning the ring band space position of each partition, optimizing the coverage area, and obtaining the ring structure distribution configuration; S4: based on the ring structure distribution configuration, determining the range of multi-point out-of-focus intervention band, combining the eye scene and photochromic demand of the wearer, judging the spatial overlap of the out-of-focus band and the photochromic response area, adjusting the boundary of the overlapping functional area, and obtaining the fusion functional partition structure; S5: based on the fusion functional partition structure, reading the microstructure positioning and material arrangement parameters according to the partition, importing the spatial distribution points and material parameters into the lens manufacturing process platform, and obtaining the customized lens data.

2. The method of claim 1, wherein the optical stable photochromic multi- point through-focus myopia control spectacle lens prescription generation method is characterized by, The structured visual behavior parameters include visual function data, pupil feature information, and photosensitive reaction type. The out-of-focus intervention space priority data includes intervention area division, focusing adjustment order, and space priority indication. The ring structure distribution configuration includes functional ring band level, ring band space position, and coverage characteristic description. The fusion functional partition structure includes overlap area definition, partition boundary attribute, and functional composite allocation. The customized lens data includes microstructure distribution point configuration, manufacturing material list, and data output format.

3. The method of claim 1, wherein the optical stable photochromic multi- point through-focus myopia control spectacle lens prescription generation method is characterized by, The acquisition step of the structured visual behavior parameters is specifically: S101: based on the wearer's eye, scanning the corneal surface through a non-contact optical device to obtain eye image data, identifying the boundary features of the cornea, iris and pupil, analyzing the geometric position of the outer edge of the pupil and the boundary of the iris, and optimizing the positioning of the feature points to obtain the pupil and iris boundary coordinate set; S102: based on the pupil and iris boundary coordinate set, monitoring the accommodation response dynamics of the wearer, analyzing the state changes of the ciliary muscle and lens based on continuous image or video data, tracking the adjustment process of the focal length, combining the time series changes, and through fitting analysis of the state change trend in the adjustment process, obtaining the accommodation response curve; S103: based on the accommodation response curve, collecting the eye behavior data of the wearer, combining the daily activity scene, analyzing the photochromic sensitivity of the wearer in each environment, and through the correlation analysis of the behavior data and the sensitivity, obtaining the structured visual behavior parameters.

4. The method of claim 1, wherein the optical stable photochromic multi- point through-focus myopia control spectacle lens prescription generation method is characterized by, The acquisition step of the out-of-focus intervention space priority data is specifically: S201: based on the structured visual behavior parameters, spatial positioning of the cornea, anterior chamber, lens and retina area, constructing an anatomical structure grid using three-dimensional space coordinates, optimizing the boundary of each structure area based on geometric algorithms, and adjusting the structure partition combining the visual behavior parameters, obtaining the eyeball structure partition coordinate set; S202: Based on the eye structure partition coordinate set, a multi-directional visual line incident point is set and a visual axis intersection area is calibrated, the propagation path of light in each structure in the eye is analyzed, each visual angle focusing path is fitted, the relationship between each path and the retinal focus point is calculated, and a main visual line focusing path sequence is obtained; S203: According to the main visual line focusing path sequence, the spatial overlap area of each path with the eye use scene is calibrated, the use intensity of each area is analyzed in combination with the eye use frequency data, and the intervention priority is adjusted according to the intensity ranking, and off-focus intervention space priority data is obtained.

5. The method of claim 1, wherein the optical stable photochromic multi- point through-focus myopia control spectacle lens prescription generation method is characterized by, The acquisition step of the annular zone structure distribution configuration is specifically: S301: Based on the off-focus intervention space priority data, the spatial distribution of the wearer's eyeball center and peripheral refractive structure is analyzed, each refractive area is mapped in combination with the wearer's visual behavior data, and refractive structure spatial mapping data is obtained; S302: Based on the refractive structure spatial mapping data, in combination with the annular zone structure parameters of the multi-point off-focus lens, the spatial distribution characteristics of each annular zone are analyzed, the annular zones are partitioned and screened for each functional requirement, the functional layout of the annular zones is optimized, and annular zone spatial distribution data is obtained; S303: Based on the annular zone spatial distribution data, the spatial distribution of the annular zones is adjusted, the coverage range of each area annular zone is fine-tuned according to the intervention priority order, the coverage area of the low-priority area is optimized, and the annular zone structure distribution configuration is obtained.

6. The method of claim 1, wherein the optical stable photochromic multi- point through-focus myopia control spectacle lens prescription generation method is characterized by, The acquisition step of the fusion function partition structure is specifically: S401: Based on the annular zone structure distribution configuration, the range of the multi-point off-focus intervention zone is determined in the lens design plane, the boundary of the off-focus intervention zone is evaluated in combination with the eye use scene data of the wearer, and the coverage range is determined according to the accommodation requirements of the eye, and off-focus intervention zone range data is obtained; S402: Based on the off-focus intervention zone range data, in combination with the photochromic requirements of the wearer, the spatial overlap of the off-focus intervention zone and the photochromic response area is analyzed, the overlap area is determined, and overlap area data is obtained; S403: Based on the overlap area data, the boundary of each functional area with overlap is fine-tuned one by one, the overlap area is optimized, and the boundary position and area distribution are adjusted according to the functional requirements, and a fusion function partition structure is obtained.

7. The method of claim 1, wherein the optical stable photochromic multi- point through-focus myopia control spectacle lens prescription generation method is characterized by, The acquisition step of the customized lens data is specifically: S501: Based on the fusion function partition structure, the microstructure positioning data and material arrangement requirements of each partition are read in sequence, the microstructure coordinates of each partition are matched with the material characteristics, and microstructure and material data are obtained; S502: According to the microstructure and material data, the spatial distribution point information and material parameters of each partition are imported into the lens manufacturing process platform, and integrated arrangement operation is performed, and customized lens data is obtained.

8. The method of claim 1, wherein the optical stable photochromic multi- point through-focus myopia control spectacle lens prescription generation method is characterized by, The accommodation response change refers to the response process of the ciliary muscle and the state of the lens over time when monitoring the change of the focusing distance of the eye, and the photochromic sensitivity refers to the individual subjective sensitivity to the lens color change speed, color change condition, and light sensitive response to environmental light change.

9. The method of claim 1, wherein the optical stable photochromic multi- point through-focus myopia control spectacle lens prescription generation method is characterized by, The eye structure partition refers to spatial partition of cornea, anterior chamber, lens and retinal eye anatomical parts by three-dimensional modeling, and the focusing path refers to a path of light from entering the eye to focusing on or deviating from the retina.

10. The method of claim 6, wherein the optical stable photochromic multi- point, through-focus myopia control spectacle lens prescription generation method is characterized by, The boundary fine-tuning process specifically includes: when fine-tuning the boundary of each functional area in the overlapping area, a geometric optimization algorithm based on a spatial coordinate system is adopted to adjust the boundary of the functional area according to a preset spatial density and position constraint, and the preset spatial density includes a weighted consideration of the use frequency of the area.

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