CN-121978847-A - Defocus lens structure parameter optimization method and system fusing eyeball adaptation parameters

CN121978847ACN 121978847 ACN121978847 ACN 121978847ACN-121978847-A

Abstract

The invention is suitable for the technical field of lens matching optimization, in particular to a method and a system for optimizing the structural parameters of a defocused lens by fusing eyeball adaptive parameters, wherein the method comprises the steps of recording the eyeball adaptive parameters and the structural parameters of the defocused lens of a user and constructing a lens matching database; recording eyeball adaptive parameters according to time sequence, constructing a change curve of each parameter to generate a parameter change prediction function, generating a prediction parameter, comparing the prediction parameter with the recently acquired eyeball adaptive parameters to obtain a parameter difference value, constructing a basic lens structure parameter, and correcting the basic lens structure parameter based on the parameter difference value to obtain the defocus lens parameter of the present lens. The invention realizes the accurate conversion from the original eyeball parameters to the manufacturable lens structure by constructing the systematic basic lens structure parameter generation flow, effectively ensures the accurate adaptation effect of the lens in the initial wearing stage, and lays a solid technical foundation for the subsequent dynamic optimization.

Inventors

ZENG BOQIANG
ZENG QIMING
JIANG JIANJUN
GUAN ZHENGWEN

Assignees

上饶市晶鑫光学元件有限公司

Dates

Publication Date: 20260505
Application Date: 20260202

Claims (10)

1. The method for optimizing the structure parameters of the defocus lens by fusing the eyeball adaptive parameters is characterized by comprising the following steps of: recording eyeball adaptive parameters of a user and used defocus lens structure parameters, and constructing a lens matching database of the user, wherein the eyeball adaptive parameters comprise refraction degree, eye axis length and cornea curvature, and the defocus lens structure parameters comprise defocus amount of a micro lens; Recording eyeball adaptive parameters according to a time sequence, constructing a change curve of each parameter, and generating a parameter change prediction function; Generating a predicted parameter corresponding to the corresponding time through a parameter change prediction function according to a preset eyeglass wearing period, and comparing the predicted parameter with the recently acquired eyeball adaptive parameter to obtain a parameter difference value; And constructing a basic lens structure parameter based on the latest eyeball adaptation parameter, and correcting the basic lens structure parameter based on the parameter difference value to obtain the defocused lens parameter of the present lens.
2. The method for optimizing the structure parameters of the defocus lens fusing eyeball adapter parameters according to claim 1, wherein the steps of recording the eyeball adapter parameters according to the time sequence, constructing a change curve of each parameter and generating a parameter change prediction function specifically comprise the following steps: marking the refraction data points of the same user in the past by taking time as a horizontal axis and taking a single eyeball adaptive parameter as a vertical axis to form a parameter scatter diagram; generating a parameter change curve for reflecting the historical change trend of the parameter by using a curve fitting algorithm based on the parameter scatter diagram; and generating a parameter change prediction function for predicting future parameter values according to the mathematical characteristics of the parameter change curve.
3. The method for optimizing the parameters of the defocus lens according to claim 2, wherein the generating a parameter variation prediction function for predicting future parameter values according to the mathematical characteristics of the parameter variation curve specifically comprises: calculating the total change amount and the average change rate of each eyeball adaptive parameter in a history period based on the parameter change curve to obtain a dynamic index for representing the eyeball change activity of a user; According to the dynamic index for representing the eyeball change activity of the user, matching corresponding buffer zone levels from a preset buffer zone configuration rule base to obtain an initial buffer zone configuration scheme, wherein the buffer zone levels comprise buffer zone width and defocus gradient; packaging the dynamic index for representing the eyeball change activity of the user and the mapping relation between the dynamic index and the initial buffer configuration scheme according to a mathematical relation, and establishing a functional relation taking the dynamic index as input and the buffer structure parameter as output to obtain an initial buffer configuration prediction function; Introducing a time variable as an input parameter of the initial buffer configuration prediction function to obtain a parameterized buffer configuration prediction function, wherein the time variable represents a future time point taking the current mirror as a starting point, so that the function can output ideal buffer parameters required at any future time point; determining the basic defocus amount of the central area of the lens by taking the eyeball adapter parameters acquired by the user last time as a reference; Invoking the parameterized buffer area configuration prediction function, taking a preset eyeglass wearing period end point as time input, calculating a buffer area structure parameter of a target period, and performing optical fusion with a basic defocus amount of a lens center area to generate defocus lens parameters applicable to the target wearing period; Acquiring eyeball adaptive parameters of a target user, feeding back the defocused lens parameters applicable to the target wearing period and the eyeball adaptive parameters of the target user to a preset buffer area configuration rule base as verification data, generating a final configuration prediction function, and taking the final configuration prediction function as a parameter change prediction function.
4. The method for optimizing the structure parameters of the defocus lens with the eyeball adapter parameters fused according to claim 3, wherein the step of generating the predicted parameters corresponding to the corresponding time through the parameter variation prediction function according to the preset eyeglass wearing period, and comparing the predicted parameters with the recently acquired eyeball adapter parameters to obtain the parameter difference value specifically comprises the following steps: acquiring a preset eyeglass wearing period, and defining the midpoint or end time of the period as a predicted time point; Inputting the predicted time point into the parameter change prediction function, and calculating to obtain a predicted eyeball adaptation parameter of a user at the predicted time point; and calculating the numerical difference between the predicted eyeball adaptive parameter and the eyeball adaptive parameter which is actually acquired last time to obtain a parameter difference value for guiding the correction of the lens structural parameter.
5. The method for optimizing out-of-focus lens structure parameters with fusion of eyeball adapter parameters according to claim 4, wherein the calculating the numerical difference between the predicted eyeball adapter parameters and the last actually collected eyeball adapter parameters to obtain the parameter difference for guiding the correction of the lens structure parameters specifically comprises: calculating a single difference value between the predicted value of each predicted eyeball fit parameter and the latest actual acquired value to obtain a basic parameter difference value set, wherein the single difference value comprises a diopter number difference value, an eye axis length difference value and a cornea curvature difference value; according to the importance degree of each predicted eyeball adaptive parameter in myopia prevention and control, corresponding weight coefficients are distributed to each single difference value in the basic parameter difference value set, and the weight coefficients of the eye axis length difference value are highest, the weight coefficients of diopter numbers are the second, and the weight coefficient of cornea curvature is lowest, so that a weighted parameter difference value set is obtained; Carrying out trend consistency check on each weighted parameter in the weighted parameter difference value set by utilizing the change trend characteristic reflected by the parameter change prediction function, keeping the original weight if the change trend is consistent with a history rule in the consistency check process, and dynamically adjusting the weight if abnormality occurs to obtain a checked parameter difference value set; Matching corresponding correction priority schemes from a preset correction strategy rule base according to the verified parameter difference value set, wherein the correction priority schemes comprise correction sequences and correction intensity grades of different areas of the lens; Calculating influence coefficients of each single difference value on different structural areas of the lens based on a correction priority scheme to obtain an area influence coefficient matrix, wherein the influence coefficients comprise influence coefficients of a central correction area and influence coefficients of a peripheral defocus area; carrying out fusion calculation on each influence coefficient in the area influence coefficient matrix and each parameter difference value in the verified parameter difference value set to generate a differential correction parameter set; and packaging each parameter in the differential correction parameter set into a structured parameter difference object, wherein the parameter difference object comprises the original numerical value of each difference, weight distribution, influence coefficient and area correction parameter, and the parameter difference for guiding the correction of the lens structural parameter is obtained.
6. The method for optimizing out-of-focus lens structure parameters with fusion of eyeball adapter parameters according to claim 5, wherein the step of constructing a basic lens structure parameter based on the latest eyeball adapter parameters and correcting the basic lens structure parameter based on a parameter difference value to obtain the out-of-focus lens parameter of the present lens comprises the following steps: The eyeball adaptive parameter which is acquired by the user last time is used as input, and the basic lens structure parameter which is completely adaptive at the current moment is generated through optical calculation; establishing a mapping relation between the parameter difference and the lens structure parameter correction, and determining a specific correction value for the micro lens defocus amount in the basic lens structure parameter according to the calculated parameter difference; and applying the correction value to the basic lens structure parameter to generate a pair of defocus lens parameters suitable for a target wear cycle.
7. The method for optimizing out-of-focus lens structure parameters with fusion of eyeball adapting parameters according to claim 6, wherein the method for generating the base lens structure parameters completely adapted at the current moment by optical calculation with the last eyeball adapting parameters collected by the user as input specifically comprises: Extracting eyeball adaptive parameters which are acquired by a user for the last time from a preset lens matching database, wherein the eyeball adaptive parameters comprise refraction degree, an eye axis length value and a cornea curvature value, and forming a current eyeball parameter set; calculating the basic diopter correction amount of the central area of the lens according to the diopter in the current eyeball parameter set to obtain a central vision correction parameter; Analyzing the defocus demand of the peripheral area of the retina based on the eye axis length value and the cornea curvature value in the current eyeball parameter set, and determining a basic defocus signal intensity value; Presetting initial distribution of a micro lens array by combining the central vision correction parameter and the basic defocus signal intensity value, and generating lens optical parameter configuration; According to the historical wearing data of the user and the optical characteristics of the lens materials, optimizing the defocusing amount distribution uniformity of the micro lens array for the optical parameter configuration of the lens to obtain a uniform optical parameter scheme; verifying the imaging effect of the uniform optical parameter scheme on the eyeball model through ray tracing simulation so as to correct the defocus deviation of the micro lens and obtain a verified optical parameter set; And converting each parameter in the verified optical parameter set into a lens structure parameter, including the defocus amount, the distribution density and the curvature radius of the micro lens, and generating a basic lens structure parameter which is completely adapted at the current moment.
8. The method for optimizing defocus lens structure parameters with eyeball adaptive parameters according to claim 7, wherein the establishing a mapping relation between the parameter difference and the lens structure parameter correction and determining a specific correction value for the defocus amount of the microlens in the basic lens structure parameter according to the calculated parameter difference comprises: Analyzing the parameter difference value used for guiding the correction of the lens structural parameter, and extracting an original numerical value, weight distribution, an influence coefficient and a region correction parameter contained in the parameter difference value to obtain structural difference value data; Determining the priority order of different eyeball parameter differences in lens correction according to weight distribution in the structured difference data, and generating a parameter correction priority sequence; calculating the influence degree of each parameter difference on the lens center correction area and the peripheral defocus area by using the influence coefficient in the structured difference data to obtain an area influence degree matrix; Calculating defocus adjustment values required by different areas of the lens based on the area correction parameters in the area influence degree matrix and the area correction parameters in the structured difference data, and generating an area differentiation correction scheme; Fusing the regional differentiation correction scheme with the basic lens structure parameters, and adjusting defocus values of corresponding microlens positions to obtain preliminary correction lens parameters; Optimizing the sequence of the preliminary correction lens parameters according to the parameter sequence in the parameter correction priority sequence so as to preferentially process the corresponding areas of the high-weight parameters and obtain optimized lens parameters; And verifying the optical performance of the optimized lens parameters at a predicted time point to ensure that the defocus signal is continuously effective, obtaining the verified microlens defocus amount, and taking the verified microlens defocus amount as a specific correction value for determining the microlens defocus amount in the basic lens structure parameters.
9. The method of claim 8, wherein the predetermined eyewear wear period is at least 6 months.
10. An out-of-focus lens structural parameter optimization system fusing eyeball adapter parameters, which is characterized in that the system adopts the out-of-focus lens structural parameter optimization method fusing eyeball adapter parameters according to any one of claims 1 to 9, and the system comprises: the data recording module is used for recording eyeball adaptation parameters of a user and used defocus lens structure parameters, and constructing a lens matching database of the user, wherein the eyeball adaptation parameters comprise refraction degree, eye axis length and cornea curvature, and the defocus lens structure parameters comprise defocus of a micro lens; The function construction module is used for recording eyeball adaptation parameters according to a time sequence, constructing a change curve of each parameter and generating a parameter change prediction function; The parameter comparison module is used for generating a predicted parameter corresponding to the corresponding time through a parameter change prediction function according to a preset eyeglass wearing period, and comparing the predicted parameter with the recently acquired eyeball adaptive parameter to obtain a parameter difference value; And the parameter optimization module is used for constructing basic lens structure parameters based on the latest eyeball adaptation parameters, and correcting the basic lens structure parameters based on the parameter difference value to obtain the defocused lens parameters of the present lens.

Description

Defocus lens structure parameter optimization method and system fusing eyeball adaptation parameters Technical Field The invention belongs to the technical field of lens matching optimization, and particularly relates to a defocusing lens structural parameter optimization method and system for fusing eyeball adaptive parameters. Background The defocusing lens is an optical lens specially designed for controlling the myopia progress of children and teenagers, and the principle is that a myopia defocusing signal is formed in the peripheral area of retina while correcting central vision, so that the excessive increase of the eye axis is slowed down. Such lenses are typically designed with special optics (e.g., multi-point microlens arrays or concentric ring structures) to focus light entering the eye clearly on the retina in the central field of view and in front of the retina in the peripheral field of view, simulating the physiological signal of "stop eye from continuing to elongate". Clinical researches show that the defocused lens can effectively delay the deepening speed of myopia by about 30% -60%, and is one of the important means for preventing and controlling non-drug and non-invasive myopia at present. In the prior art, the structural design of the defocusing lens is carried out based on eyeball parameters obtained through real-time measurement, the eyeball parameters of a user are dynamically changed, and the parameters of the current design cannot be dynamically adapted to eyes of the user. Disclosure of Invention The invention aims to provide a method for optimizing the structural parameters of an out-of-focus lens by fusing eyeball adaptive parameters, which aims to solve the problems that in the prior art, the structural design of the out-of-focus lens is carried out based on eyeball parameters obtained by real-time measurement, the eyeball parameters of a user are dynamically changed, and the parameters of the current design cannot be dynamically adapted to eyes of the user. The invention discloses a defocusing lens structure parameter optimization method fusing eyeball adaptive parameters, which comprises the following steps: recording eyeball adaptive parameters of a user and used defocus lens structure parameters, and constructing a lens matching database of the user, wherein the eyeball adaptive parameters comprise refraction degree, eye axis length and cornea curvature, and the defocus lens structure parameters comprise defocus amount of a micro lens; Recording eyeball adaptive parameters according to a time sequence, constructing a change curve of each parameter, and generating a parameter change prediction function; Generating a predicted parameter corresponding to the corresponding time through a parameter change prediction function according to a preset eyeglass wearing period, and comparing the predicted parameter with the recently acquired eyeball adaptive parameter to obtain a parameter difference value; And constructing a basic lens structure parameter based on the latest eyeball adaptation parameter, and correcting the basic lens structure parameter based on the parameter difference value to obtain the defocused lens parameter of the present lens. Another object of the present invention is a defocus lens structure parameter optimization system that fuses eyeball fitting parameters, the system comprising: the data recording module is used for recording eyeball adaptation parameters of a user and used defocus lens structure parameters, and constructing a lens matching database of the user, wherein the eyeball adaptation parameters comprise refraction degree, eye axis length and cornea curvature, and the defocus lens structure parameters comprise defocus of a micro lens; The function construction module is used for recording eyeball adaptation parameters according to a time sequence, constructing a change curve of each parameter and generating a parameter change prediction function; The parameter comparison module is used for generating a predicted parameter corresponding to the corresponding time through a parameter change prediction function according to a preset eyeglass wearing period, and comparing the predicted parameter with the recently acquired eyeball adaptive parameter to obtain a parameter difference value; And the parameter optimization module is used for constructing basic lens structure parameters based on the latest eyeball adaptation parameters, and correcting the basic lens structure parameters based on the parameter difference value to obtain the defocused lens parameters of the present lens. Compared with the prior art, the invention has the beneficial effects that: 1. According to the invention, the historical change trend of eyeball parameters is converted into dynamic indexes, a buffer area configuration prediction function is constructed, the fundamental transition from static parameter design to dynamic prediction optimization is realized, the buffer area con