Optical system for fog display point diffusion and preparation method thereof

Abstract

The invention relates to the technical field of optical elements, and discloses a fog display point diffusion optical system and a preparation method thereof, and the preparation method comprises the steps: obtaining user visual parameters, and building a visual behavior probability density model through kernel density estimation; designing the front surface of the lens based on the model, and generating an asymmetric defocus system coupled with a gazing habit; the rear surface of the lens is designed, and the distribution density of a fog display point diffusion unit is cooperatively modulated by the front surface defocusing amount, the fixation probability and the pupil diameter; and finally integrating front and rear surface design to form an optical lens body. According to the method, the asymmetric defocus field on the front surface and the fog display point diffusion field on the rear surface are subjected to collaborative design, and the defocus intensity and the contrast modulation intensity are accurately applied to the effective retina area of the user through the visual behavior probability density model; the technical problem that a traditional out-of-focus lens is fixed in signal and cannot adapt to individual staring habits and physiological parameter changes is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of optical elements, and in particular to an optical system for fog display point diffusion and a preparation method thereof. Background Art

[0002] Currently, the mainstream approach to preventing and controlling myopia in adolescents is to create peripheral retinal defocus using optical components such as lenses. As a fundamental optical component, the core function of optical lenses is to correct refractive errors by regulating the path of light. In recent years, the development trend of functional optical lenses has been to provide additional optical functions while ensuring central vision correction. For example, this can be achieved by introducing a specific defocus distribution in the lens's peripheral area to influence the wearer's peripheral vision, or by integrating microstructures to control the contrast of localized imaging to achieve specific visual intervention effects.

[0003] Regarding the aforementioned related technologies, traditional functional optical designs typically employ radially symmetric patterns for their defocus distribution or microstructure layout. This design is based on a universal model that presupposes equal optical contributions from all lens orientations. However, this static, symmetrical component design ignores the individualized and asymmetric nature of user visual behavior, resulting in the inability to precisely target the optical function in the user's critical visual areas, limiting the component's effectiveness. Furthermore, existing technical solutions typically decouple the physical implementation of the defocus function and contrast control. For example, the defocus function is determined by the lens substrate curvature, while contrast control is achieved through surface coating or etching. This design separation results in a lack of intrinsic functional correlation between the two optical effects, making it impossible to coordinately and quantitatively control the contrast of a region based on its defocus intensity, limiting the ability to generate composite optical signals. Furthermore, the optical parameters of most optical lenses are fixed once manufactured. However, as optical components that interact with the human eye, the final imaging effect is significantly affected by the dynamic physiological changes of the human eye, such as pupil dilation and zooming with light. These physiological changes alter the light flux and beam shape entering the eye, affecting the effectiveness of the lens's preset functions (such as defocus). Existing static components are unable to compensate for these dynamic physiological changes, resulting in insufficient performance stability across different application scenarios.

[0004] Therefore, existing optical component designs generally suffer from rigid functional modes and a lack of dynamic interaction with the user's individual characteristics. Designing and manufacturing a new type of optical component that can personalize the spatial distribution of optical functions (such as defocus field and contrast control), achieve synergistic coupling between multiple functions, and adaptively respond to the wearer's dynamic physiological parameters, thereby improving the accuracy and stability of optical component function transmission, is a technical challenge that urgently needs to be solved in this field of optical technology. Summary of the Invention

[0005] The purpose of the present invention is to provide an optical system with fog display point diffusion and a preparation method thereof, which solves the problem that traditional defocused lenses have fixed signals and cannot adapt to changes in individual gaze habits and physiological parameters.

[0006] In order to solve the above technical problems, the first aspect of the present invention provides an optical system for fog display point diffusion.

[0007] The optical system includes an optical element body including a front surface and a back surface.

[0008] A defocusing system is provided on the front surface, and the defocusing system is configured as an asymmetric microstructure array for forming positive defocus in a portion of the optical element body. In a specific embodiment, the defocusing system includes a plurality of microlens arrays arranged in an asymmetric honeycomb ring shape, wherein the microlens array has 15 to 20 concentric rings and forms a defocusing zone with a gradient of increasing defocus from the center area of ​​the optical element to the edge area, and the defocusing amount of the outermost ring of the defocusing zone is not less than 600μm.

[0009] A fog display point diffusion system is provided on the rear surface, and the fog display point diffusion system includes a plurality of fog display diffusion units, which are used to reduce the contrast of light passing through the peripheral area of ​​the optical element.

[0010] The core technical solution of the present invention is that there is a preset functional correspondence between the spatial distribution characteristics of the multiple fog display diffusion units on the rear surface and the defocus amount formed by the defocus system in the corresponding area of ​​the front surface.

[0011] In one embodiment, the fog display diffusion unit is designed to have wavelength-selective scattering characteristics, and its scattering rate for short-wavelength light in the visible light spectrum is higher than that for long-wavelength light. It can superimpose a layer of physiological defocus signal by enhancing the longitudinal chromatic aberration of light entering the peripheral retina.

[0012] In order to achieve personalized configuration of the system, the spatial distribution characteristics of the multiple fog display diffusion units on the rear surface are also associated with a visual behavior probability density model established based on the user's biological parameters including corneal topography, pupil diameter, axial length, and dynamic gaze behavior data.

[0013] The function correspondence is configured to determine the distribution density or scattering intensity of the fog display diffusion unit based on the defocus amount of the front surface and the visual behavior probability density model, so that the distribution density or scattering intensity is locally enhanced at the rear surface position corresponding to the area with a large defocus amount or a high probability of fixation on the front surface; the function correspondence also includes parameters that are dynamically adjusted according to changes in the user's pupil diameter. Its specific implementation can be represented by the following function: ρ(p ′ )=ρ base (p ′ )+f(w D ·D(p),w P ·P(p ′ )); Where: p is any point on the front surface, p ′ is the point on the back surface corresponding to p; ρ(p ′ ) is at point p ′ The final fog diffusion unit distribution density at ; ρ base (p ′ ) is a preset basic gradient density, the gradient increasing from the central area to the edge area of ​​the optical element; D(p) is the defocus amount at point p; P(p ′ ) is the probability density model of visual behavior at point p ′ The probability of fixation at ; w D and w P is the preset weight coefficient; f is a function that maps defocus amount and fixation probability to density increment.

[0014] The preset function correspondence is configured to jointly determine the distribution density or scattering intensity of the fog display diffusion unit based on the defocus amount of the front surface and the visual behavior probability density model, and the determination method is such that the local enhancement amount of the distribution density or scattering intensity is an increasing function of the defocus amount and the gaze probability.

[0015] In addition, this functional relationship can further introduce pupil diameter Φ as a dynamic adjustment parameter: ρ(p ′ ,Φ)=k(Φ)·[ρ base (p ′ )+f(w D ·D(p),w P ·P(p ′ ))]; Where: p′ is any point on the back surface; Φ is the user's real-time pupil diameter; ρ(p′,Φ) is the final fog diffusion unit distribution density at point p′ after considering the pupil diameter Φ; k(Φ) is a pupil diameter-dependent adjustment factor used to compensate or enhance the overall diffusion intensity when the pupil diameter changes; ρ base (p′) is a predetermined base gradient density at point p′; f is a function that maps the weighted defocus amount and fixation probability into density increments, and the output value of function f increases as its two input parameters increase; ω D 、ω P are the preset weight coefficients corresponding to the defocus amount and fixation probability respectively; p is the point on the front surface corresponding to p′; D(p) is the amount of defocus at point p; P(p′) is the fixation probability at point p′ given by the visual behavior probability density model.

[0016] Correspondingly, the defocus gradient of the defocus system or the density of the microlens array is asymmetric, and the asymmetry is formed by weighted regulation based on the visual behavior probability density model so that the intensity of the defocus signal matches the position of the user's high-frequency gaze area.

[0017] To ensure that the above functional correspondence is accurately realized physically, the coaxiality error between the optical center of the defocus system of the front surface and the optical center of the fog display point diffusion system of the rear surface is no more than 0.01 mm.

[0018] In a specific embodiment, the spatial distribution of the plurality of fog display diffusion units has a basic gradient, which is distributed in an increasing manner from the central area to the edge area of ​​the optical element body, wherein the density of the central area is 0.5 / mm 2 , the density in the edge area is 3.0 / mm 2 ; Moreover, the basic gradient distribution is further locally modulated according to the preset functional correspondence, so that the total coverage of the multiple fog display diffusion units on the rear surface is 40% to 60%.

[0019] At the same time, the surface of the optical element body is provided with a multifunctional composite coating consisting of 21 layers of nano-coatings. The reflectivity of the coating is less than 0.5%, and the coating includes a blue light filter layer and an ultraviolet cutoff layer. The blue light blocking rate of the blue light filter layer is greater than or equal to 98%.

[0020] A second aspect of the present invention provides a method for preparing an optical system with fog display point diffusion, the method comprising the following steps: S1: providing an optical element body based on a user's corneal topography, pupil diameter, and axial length biological parameters, and designing its front surface to form a defocus system with a predetermined defocus distribution, wherein the asymmetry of the defocus system is determined based on the user's dynamic gaze behavior data; S2: Designing the rear surface of the optical element body to form a fog display point diffusion system including a plurality of fog display diffusion units, and designing the fog display diffusion units to have wavelength selective scattering characteristics; S3: Establish a function correspondence relationship, and determine the spatial distribution characteristics of the multiple fog display diffusion units on the rear surface based on the relationship, so that the spatial distribution characteristics are associated with the defocus amount generated by the defocus system in the corresponding area of ​​the front surface, and the function correspondence relationship further introduces the user's dynamic gaze behavior data for weighted adjustment.

[0021] In summary, the present invention includes at least one of the following beneficial technical effects: 1. The present invention achieves synergistic enhancement of two different myopia prevention and control mechanisms by establishing a preset functional correspondence between the front surface defocus amount and the spatial distribution of the fog display diffusion units on the back surface. This functional relationship ensures that the intensity of the contrast reduction signal and the intensity of the positive defocus signal are precisely matched and positively correlated in space. This synergistic effect allows a strong contrast attenuation signal to be applied simultaneously in areas where a strong defocus signal is required, forming a composite, more intense inhibition signal, thereby more effectively inhibiting abnormal growth of the eye axis than a technical solution that simply superimposes the two signals.

[0022] 2. The invention achieves a high degree of personalization of the optical system and high efficiency of signal delivery by introducing a visual behavior probability density model based on the user's dynamic gaze behavior data. This model is used to determine the asymmetric layout of the defocus system and the fog display point diffusion system, precisely delivering a stronger composite inhibition signal to the user's most frequently used peripheral retinal area. This optimization based on individual eye habits not only maximizes the accumulation of effective treatment signals, but also avoids unnecessary visual quality degradation in non-critical visual areas, thereby improving the prevention and control effect while ensuring the user's visual comfort and long-term wear compliance.

[0023] 3. By designing wavelength-selective scattering properties for the fog display diffusion unit, this invention introduces a third physiological defocus signal, independent of geometric optics. This property physically enhances the human eye's inherent longitudinal chromatic aberration, superimposing an additional layer of physiological defocus on the peripheral retina. This enables the optical system of this invention to generate a multimodal, composite suppression signal composed of geometric defocus, contrast attenuation, and physiological chromatic defocus. This signal is more robust and less susceptible to neural adaptation than a single signal, thus providing a more stable and long-lasting effect in controlling myopia progression. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a system structure diagram of the present invention; Figure 2 This is a functional block diagram of the data acquisition and modeling system of the present invention; Figure 3 Schematic diagram of the visual behavior probability density model of the present invention; Figure 4 Schematic diagram of the layout of the front surface asymmetric defocusing system of the present invention; Figure 5 Schematic diagram of the distribution of units of the rear surface fog display point diffusion system of the present invention; Figure 6 This is a functional block diagram of the system integration and optimization module of the present invention; Figure 7 This is a flow chart of the optical system preparation method of the present invention.

[0025] Among them, 100 is the lens body; 110 is the front surface; 120 is the back surface; 112 is the defocusing system; 122 is the fog display point diffusion system; 124 is the fog display diffusion unit. DETAILED DESCRIPTION

[0026] The following is combined with Figure 1 -Attached Figure 7 , the present invention is described in further detail.

[0027] The optical element referred to in the present invention, in a preferred embodiment, is a spectacle lens. However, those skilled in the art will appreciate that the technical solution of the present invention is also applicable to other forms of optical elements, such as corneal contact lenses, intraocular lenses, etc.

[0028] Refer to the attached Figure 1 , Figure 1 1 is a schematic structural diagram of an optical system for fog display and point diffusion according to an embodiment of the present invention. The present invention provides an optical system for fog display and point diffusion, which includes a lens body 100.

[0029] The lens body 100 has a front surface 110 and a back surface 120. The front surface 110 and the back surface 120 are two main optical surfaces of the optical lens.

[0030] A defocusing system 112 is provided on the front surface 110. This defocusing system 112 comprises an asymmetrically arranged array of microstructures. Its function is to create a predetermined positive defocus in a specific area of ​​the lens body 100, typically the peripheral vision area. This positive defocus is used to form a defocused image plane in front of the user's retina, generating a signal to inhibit axial eye growth.

[0031] The rear surface 120 is provided with a fog display point diffusion system 122. The fog display point diffusion system 122 is composed of a plurality of fog display diffusion units 124. The fog display diffusion units 124 scatter light to reduce the contrast of the image passing through the lens area, thereby providing an additional dimension of myopia progression inhibition signal.

[0032] The core technical solution of this embodiment lies in the existence of a preset functional relationship between the spatial distribution characteristics of the multiple fog display diffusion units 124 in the fog display point diffusion system 122 on the rear surface 120 and the defocus amount formed by the defocus system 112 in the corresponding area on the front surface 110. This relationship couples the functional parameters of the two optical systems located on different surfaces, achieving synergy.

[0033] This function correspondence is configured to determine the distribution density or scattering intensity of the fog display diffusion unit 124 based on the defocus amount of the front surface 110 and the visual behavior probability density model established based on user data. The mathematical relationship can be represented by the following formula: ρ(p ′ )=ρ base (p ′ )+f(w D ·D(p),w P ·P(p ′ )); Where: p is any point on the front surface, p ′ is the point on the back surface corresponding to p; ρ(p ′ ) is at point p ′ The final fog diffusion unit distribution density at ; ρ base (p ′ ) is a predetermined basic gradient density, the gradient increasing from the center area to the edge area of ​​the lens; D(p) is the defocus amount at point p; P(p ′) is the probability density model of visual behavior at point p ′ The probability of fixation at ; w D and w P is the preset weight coefficient; f is a function that maps defocus amount and fixation probability to density increment.

[0034] To further compensate for visual changes under different lighting environments, the functional relationship can further introduce the user's real-time pupil diameter Φ as a dynamic adjustment parameter. The mathematical relationship is given by the following formula: ρ(p ′ ,Φ)=k(Φ)·[ρ base (p ′ )+f(w D ·D(p),w P ·P(p ′ ))]; Where: p′ is any point on the back surface; Φ is the user's real-time pupil diameter; ρ(p′,Φ) is the final fog diffusion unit distribution density at point p′ after considering the pupil diameter Φ; k(Φ) is a pupil diameter-dependent adjustment factor used to compensate or enhance the overall diffusion intensity when the pupil diameter changes; ρ base (p′) is a predetermined base gradient density at point p′; f is a function that maps the weighted defocus amount and fixation probability into density increments, and the output value of function f increases as its two input parameters increase; ω D 、ω P are the preset weight coefficients corresponding to the defocus amount and fixation probability respectively; p is the point on the front surface corresponding to p′; D(p) is the amount of defocus at point p; P(p′) is the fixation probability at point p′ given by the visual behavior probability density model.

[0035] Through the above-mentioned structure and functional relationship, the optical system of this embodiment performs precise and functional collaborative configuration of the geometric defocus signal intensity of the front surface 110 and the contrast control intensity of the rear surface 120 in space, and deeply customizes it in combination with the user's individual biological parameters and dynamic behavior data to form a complex and efficient myopia progression inhibition system.

[0036] Refer to the attached Figure 2 , Figure 2is a functional block diagram of a data acquisition and modeling system according to an embodiment of the present invention. To achieve personalized customization of an optical system, the system is used to obtain user visual parameters and establish a visual behavior probability density model, the output of which serves as input for designing the optical system. The system may include: The static parameter acquisition module is configured to measure the user's static ocular biometric parameters. This module integrates a corneal topographer for acquiring the curvature distribution of the user's corneal anterior surface; an autorefractor for measuring the user's refractive status and axial length; and a pupillometer for measuring the user's pupil diameter under different standard illumination levels. The module outputs a static parameter set consisting of corneal topography data, axial length values, and pupil diameter data.

[0037] Static parameter acquisition module, which is used to obtain basic visual data of individual users. The basic visual data may include: Refractive parameters: including spherical power, cylindrical power and axis position.

[0038] Eye physiological parameters: including corneal curvature, corneal topography, axial length and pupil diameter (measured at at least three standard brightness levels, such as 5cd / m 2 ,50cd / m 2 ,300cd / m 2 ).

[0039] Visual behavior data: Through the eye tracking unit, while the user performs a preset visual task (for example, reading continuously for 30 minutes, watching a video for 15 minutes), the user's continuous gaze point coordinate sequence is recorded at a sampling frequency of no less than 50Hz.

[0040] The dynamic behavior acquisition module is configured to record the user's dynamic gaze behavior during specific visual tasks. This module includes an infrared eye tracker, which captures the user's pupil center at a sampling rate of at least 60Hz; a visual stimulus presentation device, such as a display screen, which displays preset visual stimulus patterns to the user, guiding them to perform eye movements such as scanning, tracking, and gazing; and a synchronization controller, which ensures that the eye tracking data is accurately synchronized with the timestamps of the visual stimulus presentation. The module outputs a raw data stream of eye movement trajectories with timestamps over a specific time period.

[0041] The data processing and modeling module is connected to the static parameter acquisition module and the dynamic behavior acquisition module through data interfaces, and is used to receive the static parameter set and the original eye movement trajectory data stream, and generate the final visual behavior probability density model.

[0042] The data processing and modeling module includes a coordinate transformation unit. This unit accurately transforms the eye movement trajectory data received from the dynamic behavior acquisition module based on the screen coordinate system into the coordinate system of the rear surface 120 of the lens body 100 to be designed, based on parameters such as the user's head posture and lens-eye distance. This unit then generates a spatial scatter plot of the gaze points on the lens surface.

[0043] The data processing and modeling module also includes a probability density generation unit. This unit receives the gaze point space scatter plot after coordinate transformation and processes it using the kernel density estimation (KDE) algorithm. Through this algorithm, the discrete gaze point distribution is fitted into a continuous two-dimensional probability density function P(p'). This function P(p ′ ) is the probability density model of visual behavior, which is the probability density model of visual behavior at any point p on the back surface of the lens. ′ The function value of represents the probability that the user will look at this point in their daily eye activities. The model is ultimately output in the form of a data matrix or function expression to guide the subsequent design of the defocus system 112 and the fog display point diffusion system 122.

[0044] Specifically, the kernel density estimation algorithm transforms each discrete fixation point p ′ As the center, place a kernel function K, then superimpose all N kernel functions and normalize them to get any point p ′ The probability density of . Its mathematical expression is: Where: P(p ′ ) is the final generated visual behavior probability density model, which means that at any point p on the back surface ′ The probability density of gaze at the location; N is the total number of gaze points collected; p i ′ is the coordinate of the i-th fixation point in the back surface coordinate system; p ′ are the coordinates of any point on the back surface used to calculate the probability density; K is the kernel function, a non-negative function whose integral over the entire space is 1. In this embodiment, a two-dimensional standard Gaussian function is used; h is the bandwidth parameter, a positive smoothing parameter used to control the influence of a single fixation point. The value of the bandwidth h determines the smoothness of the final probability density function.

[0045] Refer to the attached Figure 3 , Figure 3is a schematic diagram of the layout of the front surface asymmetric defocusing system according to an embodiment of the present invention. The design of the optical system includes a defocusing system design module, which is used to receive the visual behavior probability density model output by the data processing and modeling module and generate a specific design scheme for the defocusing system 112 on the front surface 110 based on this model. The defocusing system design module may include: A basic gradient definition unit is configured to generate a radially symmetric basic defocus distribution. In this embodiment, the defocus system 112 is composed of a microlens array arranged in an asymmetric honeycomb ring shape. The basic gradient definition unit sets 15 to 20 concentric rings and defines a basic defocus function D_base(r) with a gradient increasing from the optical center outward, where r is the radial distance from the lens surface point to the optical center. The basic defocus amount increases gradually from +0.5D near the optical center to +3.5D in the outermost ring. The +3.5D defocus amount corresponds to an axial displacement of the focal plane in front of the retina of not less than 600μm in the standard eye model.

[0046] An asymmetric modulation unit configured to receive the basic defocus function D_base(r) and the visual behavior probability density model P(p ′ ), and performs asymmetric weighted modulation on the basic defocus function. For any point p(r,θ) on the front surface 110, the unit first determines its corresponding point p on the back surface 120 ′ , and obtain the gaze probability P(p ′ ). Then, the unit calculates the final asymmetric defocus amount D(p) through a preset modulation function. The modulation can be represented by the following formula: D(p) = D base (r)·[1+w a ·P norm (p ′ )]; Where: D(p) is the final defocus at point p; D base (r) is the basic defocus amount related only to the radial distance r; P norm (p ′ ) is the probability density function P(p ′ )The normalized value; w a is the weight coefficient of asymmetric modulation, which is used to control the influence of fixation probability on the defocus distribution.

[0047] Through this calculation, the ′ ) area, its corresponding defocus amount D(p) is locally enhanced, thereby forming an asymmetric defocus distribution that matches the user's gaze habits.

[0048] A microstructure layout generation unit is configured to convert the asymmetric defocus distribution D(p) into physical layout parameters for the microlens array. This unit calculates the precise position, geometry, and optical power of each microlens in the array to ensure that the average defocus effect across the entire front surface 110, when all microlenses act together, accurately replicates the asymmetric defocus field defined by the function D(p).

[0049] The output unit is configured to integrate the physical layout parameters of the microstructure array into a digital design file in a standard format. The file contains the three-dimensional coordinates and surface normal vector information of each point on the front surface 110, which can be used to drive free-form surface processing equipment or manufacture a master mold for injection molds.

[0050] Refer to the attached Figure 4 , Figure 4 Schematic diagram of the unit distribution of the rear surface fog display point diffusion system according to an embodiment of the present invention. The optical system design also includes a fog display point diffusion system design module, which is used to generate a specific design scheme for the fog display point diffusion system 122 on the rear surface 120. The fog display point diffusion system design module may include: A diffusion unit characteristic definition unit, which is configured to set the physical form and optical characteristics of a single fog display diffusion unit 124. In this embodiment, the fog display diffusion unit 124 is a microstructure formed on the rear surface 120 by a micro-etching process. The unit sets the size range and shape of each microstructure so that it produces a specific scattering effect on the incident light. The unit also sets the wavelength-selective scattering characteristics for the microstructure, that is, by controlling the characteristic size of the microstructure to make it close to the short wavelength part (for example, 400-450nm) in the visible light band, so that its scattering efficiency for blue-violet light is higher than the scattering efficiency for red light. This characteristic is used to physically enhance the longitudinal chromatic aberration of the human eye of light passing through this area.

[0051] This property is used to physically enhance the longitudinal chromatic aberration of the human eye for light passing through this area. The enhanced longitudinal chromatic aberration causes the focus of short-wavelength blue-violet light to be further anterior than the focus of long-wavelength red light. This dispersion separation is believed to provide the retina with additional, non-ambiguous defocus signal directional cues, which, together with the defocus field on the anterior surface, further enhances the inhibitory effect on axial length growth.

[0052] The basic density distribution definition unit is configured to set the basic spatial distribution density of the fog display diffusion unit 124 on the back surface 120. This unit defines a basic density function ρ that increases gradually from the optical center to the peripheral area. base (p ′ The basic density is 0.5 / mm near the optical center. 2 , smoothly increasing to 3.0 / mm at the edge of the lens 2This underlying density distribution ensures that there is a baseline contrast-reducing effect even in regions without defocus or fixation probability modulation.

[0053] The collaborative modulation calculation unit is configured to receive the final defocus amount D(p) of the front surface, the visual behavior probability density model ρ(p ′ ) and the basic density function ρ base (p ′ ), and calculates the final distribution density of the fog display diffusion unit 124 according to the preset function correspondence. This unit performs the function operation defined in the first part, and its mathematical relationship is represented by the following formula: ρ(p ′ )=ρ base (p ′ )+f(w D ·D(p),w P ·P(p ′ )); Where: p is any point on the front surface, p ′ is the point on the back surface corresponding to p; ρ(p ′ ) is at point p ′ The final fog diffusion unit distribution density at ; ρ base (p ′ ) is a predetermined basic gradient density, the gradient increasing from the center area to the edge area of ​​the lens; D(p) is the defocus amount at point p; P(p ′ ) is the probability density model of visual behavior at point p ′ The probability of fixation at ; w D and w P is the preset weight coefficient; f is a function that maps defocus amount and fixation probability to density increment.

[0054] The function f can be defined as a linear weighted sum: f(w D ·D(p),w P ·P(p′))=C1·w D ·D(p)+C2·w P ·P(p′); Where: C1 and C2 are preset engineering calibration coefficients, which are used to unify the dimensions of defocus and fixation probability, and convert them into units of density increment.

[0055] The unit calculates the defocus value D(p) at the front surface point p and the corresponding point p on the back surface.′ The fixation probability ρ(p ′ ) as input, the density increment is calculated by the function f and compared with the basic density ρ base (p ′ ) add them together to get point p ′ The final target density ρ(p ′ ). This calculation maps the defocus strength of the front surface together with the user's individual gaze behavior to the strength of the back surface contrast modulation.

[0056] A physical layout generation unit configured to convert the continuous final target density function ρ(p ′ ) is converted into the physical coordinate layout of the discrete fog display diffusion unit 124. This unit uses an algorithm such as Poisson disk sampling to generate a set of two-dimensional coordinate points on the back surface 120. The algorithm ensures that the number of generated coordinate points in any local area is exactly consistent with ρ(p ′ ) while maintaining the minimum spacing between points to avoid clustering or overlapping of units.

[0057] The output unit is configured to integrate the physical coordinate layout data of all the fog display diffusion units 124 into a standard format digital mask template file or laser direct writing device instruction file. This file contains the position information of each micro-etched structure to be processed on the rear surface 120 for subsequent physical manufacturing processes.

[0058] Refer to the attached Figure 5 , Figure 5 is a functional block diagram of a system integration and optimization module according to an embodiment of the present invention. The optical system design is ultimately completed by the system integration and optimization module. This module is used to integrate the design data for the front and back surfaces, incorporate dynamic physiological parameters for optimization, and ultimately generate complete lens data suitable for manufacturing. The system integration and optimization module may include: The data integration and alignment unit is configured to receive the front surface digital design file output by the defocus system design module and the back surface physical coordinate layout data output by the fog display point spread system design module. Based on preset lens center thickness, edge thickness, and optical center alignment parameters, this unit spatially aligns and integrates the three-dimensional data of the two surfaces, generating a unified lens geometric model that includes the asymmetric defocus system 112 on the front surface 110 and the fog display point spread system 122 on the back surface 120.

[0059] A dynamic adjustment function definition unit is configured to introduce the user's dynamic physiological parameters to adjust the final effect of the fog display point diffusion system. The unit establishes a pupil diameter-dependent adjustment factor k(Φ) based on the user's pupil diameter data under different standard illuminations obtained from the static parameter acquisition module. This adjustment factor is used to dynamically compensate for the overall action intensity of the fog display diffusion unit 124 under different lighting environments (causing changes in the pupil diameter Φ) to maintain the stability of the myopia suppression signal. The adjustment factor k(Φ) is applied to the previously calculated fog display diffusion unit distribution density function to generate a final density layout that changes dynamically with the pupil diameter.

[0060] In a specific embodiment, the adjustment factor k(Φ) can be defined as a piecewise function or a continuous sigmoid function to simulate the nonlinear effect of pupil diameter on luminous flux. For example, it can be defined using the following piecewise linear function: When Φ≤3.0mm, k(Φ)=1.0; When 3.0mm<Φ<6.0mm, k(Φ)=1.0+0.1*(Φ-3.0); When Φ≥6.0mm, k(Φ)=1.3.

[0061] This functional relationship ensures that when the pupil diameter is small, the accommodation effect is small or absent; as the pupil diameter increases, the accommodation factor increases linearly and tends to an upper limit after the pupil diameter reaches a larger value, which meets the actual compensation requirements in physiological optics.

[0062] An optical performance simulation verification unit is configured to digitally simulate the optical performance of a unified lens geometric model. The unit uses a ray tracing algorithm to simulate the propagation path of a parallel beam or light emitted by a point light source after passing through the lens geometric model. The unit calculates and outputs the optical indicators of the lens in different visual zones, including the refractive power of the central visual zone, the defocus distribution map of the peripheral visual zone, and the modulation transfer function (MTF) or point spread function (PSF) after passing through the fog display point diffusion system. The simulation results are used to verify whether the final design meets the preset goals of central corrected visual acuity, peripheral defocus signal strength, and contrast reduction level.

[0063] The final manufacturing data generation unit is activated after the optical performance simulation verification is passed. This unit converts the verified unified lens geometry model, including the continuous free-form surface data of the front surface and the discrete coordinate data of all fog display diffusion units 124 on the back surface, into a final instruction code or data file compatible with specific manufacturing equipment (for example, a single-point diamond lathe, laser direct writing system, or injection mold processing center). This file constitutes the complete digital blueprint for manufacturing the customized lens.

[0064] Refer to the attached Figure 6, Figure 6 Schematic diagram of the final optical lens body according to an embodiment of the present invention. The design process described in the present invention ultimately outputs an optical lens body 100. This optical lens body 100 is the final physical product that carries all personalized design parameters. Its specific structure and performance parameters are defined by the following systematic parameter set: The lens substrate structure is a transparent solid with predetermined geometry and material properties. This substrate is composed of an optical-grade polymer material with a refractive index of 1.58 to 1.74 and an Abbe number of at least 32. It has specific center and edge thicknesses and includes a front surface 110 and a back surface 120. The front and back surfaces 110 and 120 are precisely spatially aligned to ensure consistent optical centering.

[0065] The parameters of the front surface asymmetric defocus system define the geometrical topography of the front surface 110. The front surface is a continuous free-form surface on which the asymmetric defocus system 112 is integrated. The parameters of the system include: a diopter in the optical center area that meets the user's distance diopter prescription; a defocus amount from the optical center to the peripheral area based on the basic defocus function D base (r) changes gradually within the range of +0.5D to +3.5D; the spatial distribution of the defocus amount is determined by the visual behavior probability density model P(p ′ ) is modulated to form an asymmetric defocus enhancement area corresponding to the user's gaze hotspot area.

[0066] The back surface coordinated fog display system parameters define the microstructure of the back surface 120. The back surface integrates the fog display point diffusion system 122, which is composed of a series of physically discrete fog display diffusion units 124. The parameters of the system include: the geometric dimensions of each fog display diffusion unit 124 are limited to a specific range to produce wavelength selective scattering with higher scattering efficiency in the blue-violet band; the spatial distribution density ρ (p ′ ,Φ) is directly determined by the output of the cooperative modulation calculation unit and the dynamic adjustment function definition unit, and its local density is related to the defocus value D(p) of the corresponding point on the front surface and the fixation probability ρ(p ′ ) and the user’s pupil diameter Φ.

[0067] Overall optical performance indicators are measurable technical standards that the optical lens body 100 should meet as a complete optical element. These indicators include: the modulation transfer function (MTF) of the central visual area is greater than 0.3 at a spatial frequency of 30 cycles / degree to ensure that the corrected visual acuity is not less than 1.0; the average relative defocus generated by the front surface 110 is not less than +1.5D in the mid-peripheral visual field (field of view angle 20° to 40°); the maximum fixation probability ρ (p ′) area, the local contrast reduction caused by the fog display point diffusion system 122 of the rear surface 120 is 5cd / m 2 Under standard brightness conditions, the measured Weber contrast value is reduced by no less than 15%.

[0068] Example 1 This embodiment discloses an optical lens based on a standard children's vision model.

[0069] The lens's base material is an optical resin with a refractive index of 1.67 and an Abbe number of 32. The lens design is based on a semi-finished lens blank with a base curvature of 2.00D, which is then formed through subsequent free-form surface processing in a laboratory.

[0070] Its front surface 110 integrates an asymmetric defocus system 112. This system consists of 18 concentric annular defocus zones. The defocus gradient increases from the optical center of the lens toward the periphery, with the axial displacement of the focal plane in front of the retina increasing continuously from 400 μm in the central zone to 600 μm at the outermost periphery. This asymmetric distribution of defocus is modulated based on a probability density model of visual behavior averaged from a large population of children.

[0071] The rear surface 120 integrates a fog display point diffusion system 122. This system consists of 516 independent fog display diffusion units 124, each with a diameter of 0.14mm. The total coverage of all units on the rear surface 120 is 50%. The spatial distribution density is 0.5 / mm in the optical center area. 2 , increasing smoothly to 3.0 / mm in the edge area 2 .

[0072] During the assembly and processing stages, the optical center of the defocus system on the front surface 110 and the optical center of the haze display point diffusion system on the back surface 120 are precisely aligned, with the coaxial error between the two controlled to within 0.008mm. A 21-layer nanocomposite coating is applied to the molded lens body 100. This coating has an average reflectivity of less than 0.3% in the visible light range and a blue light rejection rate of 98.2% in the 400nm to 450nm band.

[0073] According to a six-month follow-up observation, the average axial length of the test group wearing the lenses of this embodiment regressed by 0.09mm, with a standard deviation of 0.02mm. Compared with the control group using only the defocus system, the effective rate of myopia control increased by 47% (P<0.01).

[0074] Example 2 This embodiment discloses a personalized customized lens for a specific user with high corneal curvature.

[0075] When the design process starts, the user's corneal topography data and pupil diameter data under different illumination are first obtained through the static parameter acquisition module.

[0076] The defocus system design module uses the acquired corneal topography data as input when designing the front surface asymmetric defocus system 112. The base radius of curvature of the defocus zone on the front surface 110 is set to precisely match the user's corneal curvature, ensuring that the difference in curvature radius between the front lens surface and the corneal surface is no greater than 0.05 mm at any corresponding point.

[0077] When designing the rear surface fog display point diffusion system 122, the dynamic adjustment function definition unit uses the acquired pupil diameter data as input to establish the adjustment factor k(Φ). The collaborative modulation calculation unit applies this adjustment factor when calculating the final distribution density of the fog display diffusion unit 124. Specifically, when the system detects or estimates that the user's pupil diameter Φ is greater than 6mm, the dynamic adjustment mechanism is activated, and the distribution density of the fog display diffusion unit ρ(p′,Φ) in the edge area is increased to 3.5 / mm 2 This adjustment is used to compensate for changes in peripheral retinal contrast perception that may occur due to pupil dilation.

[0078] Refer to the attached Figure 7 , Figure 7 This is a flow chart of a method for preparing an optical system with foggy display and point diffusion according to an embodiment of the present invention. The method for preparing an optical system with foggy display and point diffusion provided by the present invention comprises the following steps: S1: providing a lens body based on a user's corneal topography, pupil diameter, and axial length biological parameters, and designing its front surface to form a defocus system with a predetermined defocus distribution, wherein the asymmetry of the defocus system is determined based on the user's dynamic gaze behavior data; S2: Designing the rear surface of the lens body to form a fog display point diffusion system including a plurality of fog display diffusion units, and designing the fog display diffusion units to have wavelength selective scattering characteristics; S3: Establish a function correspondence relationship, and determine the spatial distribution characteristics of the multiple fog display diffusion units on the rear surface based on the relationship, so that the spatial distribution characteristics are associated with the defocus amount generated by the defocus system in the corresponding area of ​​the front surface, and the function correspondence relationship further introduces the user's dynamic gaze behavior data for weighted adjustment.

[0079] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An optical system for fog display point diffusion, characterized in that: include: an optical element body, the optical element body comprising a front surface and a back surface; A defocusing system is provided on the front surface, wherein the defocusing system is configured as an asymmetric microstructure array for forming positive defocus in a partial area of ​​the optical element body; A mist display point diffusion system is provided on the rear surface, and the mist display point diffusion system includes a plurality of mist display diffusion units; There is a preset functional correspondence between the spatial distribution characteristics of the multiple fog display diffusion units on the rear surface and the defocus amount formed by the defocus system in the corresponding area on the front surface.

2. The optical system for fog display point diffusion according to claim 1, characterized in that: The defocusing system includes a plurality of microlens arrays arranged in an asymmetric honeycomb ring shape. The microlens array has 15 to 20 concentric rings and forms a defocusing zone with a gradually increasing defocusing amount from the central area of ​​the optical element to the edge area. The defocusing amount of the outermost ring of the defocusing zone is not less than 600 μm.

3. The optical system for fog display point diffusion according to claim 1, characterized in that: The fog display diffusion unit is designed to have wavelength-selective scattering characteristics. Its scattering rate for short-wavelength light in the visible light spectrum is higher than that for long-wavelength light. It can superimpose a layer of physiological defocus signal by enhancing the longitudinal chromatic aberration of light entering the peripheral retina.

4. The optical system for fog display point diffusion according to claim 1, characterized in that: The spatial distribution characteristics of the multiple fog display diffusion units on the rear surface are also associated with a visual behavior probability density model established based on the user's biological parameters including corneal topography, pupil diameter, axial length, and dynamic gaze behavior data.

5. The optical system for fog display point diffusion according to claim 4, characterized in that: The function correspondence is configured to jointly determine the distribution density or scattering intensity of the fog display diffusion unit based on the defocus amount of the front surface and the visual behavior probability density model, so that the distribution density or scattering intensity is locally enhanced at the rear surface position corresponding to the area with a larger defocus amount on the front surface or a higher probability of gaze; the function correspondence also includes parameters that are dynamically adjusted according to changes in the user's pupil diameter.

6. The optical system for fog display point diffusion according to claim 4, characterized in that: The defocus gradient of the defocus system or the density of the microlens array is asymmetric, and the asymmetry is formed by weighted regulation based on the visual behavior probability density model so that the intensity of the defocus signal matches the position of the user's high-frequency gaze area.

7. The optical system for fog display point diffusion according to claim 1, characterized in that: The coaxiality error between the optical center of the defocusing system of the front surface and the optical center of the fog display point diffusion system of the rear surface is no more than 0.01 mm.

8. The optical system for fog display point diffusion according to claim 1, characterized in that: The surface of the optical element body is provided with a multifunctional composite coating consisting of 21 layers of nano-coatings. The reflectivity of the coating is less than 0.5%, and the coating includes a blue light filter layer and an ultraviolet cutoff layer. The blue light blocking rate of the blue light filter layer is greater than or equal to 98%.

9. The optical system for fog display and point diffusion according to claim 1, characterized in that: The spatial distribution of the plurality of fog display diffusion units has a basic gradient, which is distributed in an increasing manner from the central area to the edge area of ​​the optical element body, wherein the density of the central area is 0.5 / mm 2 , the density in the edge area is 3.0 / mm 2 ; Moreover, the basic gradient distribution is further locally modulated according to the preset function correspondence, so that the total coverage of the multiple fog display diffusion units on the rear surface is 40% to 60%.

10. A method for preparing a foggy point diffusion optical system, the foggy point diffusion optical system according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1: Based on the user's corneal topography, pupil diameter, and axial length biological parameters, provide an optical element body, and design its front surface to form a defocus system with a predetermined defocus distribution, wherein the asymmetry of the defocus system is determined based on the user's dynamic gaze behavior data; S2: Designing the rear surface of the optical element body to form a fog display point diffusion system including a plurality of fog display diffusion units, and designing the fog display diffusion units to have wavelength selective scattering characteristics; S3: Establish a function correspondence relationship, and determine the spatial distribution characteristics of the multiple fog display diffusion units on the rear surface based on the relationship, so that the spatial distribution characteristics are associated with the defocus amount generated by the defocus system in the corresponding area of ​​the front surface, and the function correspondence relationship further introduces the user's dynamic gaze behavior data for weighted adjustment.

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