Heterogeneous scattering unit array shortsightedness control lens system with multi-partition differentiated regulation and control

Abstract

The invention relates to the technical field of myopia control lenses, in particular to a multi-partition differentially regulated heterogeneous scattering unit array myopia control lens system which comprises a light energy analysis module, a scattering optimization module, an environment judgment module, an array regulation module and a configuration optimization module. According to the invention, through real-time acquisition and fitting of multi-partition incident reflection transmission light energy, dynamic analysis of partition light energy characteristics is realized, and adaptive association is established among partition scattering parameters, ambient brightness and pupil changes, so that the scattering angle and spacing adjustment of each area can be corrected in time along with light energy difference; therefore, the energy distribution from the central visual area to the peripheral control area is kept stable, the optical path difference and the energy difference are synchronously balanced, the retina irradiation mode is more constant, and the out-of-focus distribution precision and the overall imaging stability are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of myopia control lenses, in particular to a multi-zone differential regulation heterogeneous scattering unit array myopia control lens system. BACKGROUND

[0002] The technical field of myopia control lenses belongs to the field of optical and visual correction devices, mainly involving the technical system of achieving refractive adjustment and retinal imaging control through optical design. The core matters include research on myopia prevention and control optical mechanism, lens diopter distribution design, light field regulation structure construction, and visual signal transmission optimization, etc. Overall, it covers related technologies such as defocus regulation lenses for delaying myopia progression, scattering type light field regulation lenses, microstructure array optical elements, and visual environment intervention systems, emphasizing the regulation of eye axis growth and the balance of visual quality through optical intervention.

[0003] Among them, the traditional multi-zone differential regulation heterogeneous scattering unit array myopia control lens system refers to a lens system that constructs multiple functional zones on the surface of the lens and sets heterogeneous optical unit arrays with different light scattering characteristics in each zone to achieve the regulation of light incidence angle, focal point distribution, and retinal illumination mode. The traditional design usually adopts a single layer or multiple layers of transparent polymer substrate to form a regular or irregular microstructure unit array on its surface. Different regions achieve differential light field control by changing the microstructure geometric parameters, refractive index, or scattering center density, thereby forming multiple optical action zones. This type of lens system generally realizes structure preparation through physical micro-nano machining or mold forming process, and determines the scattering unit parameters and spatial arrangement mode in combination with optical simulation to form an optical zoning layout that meets the needs of myopia prevention and control.

[0004] The traditional heterogeneous scattering unit array lens relies on fixed microstructure morphology and static zoning design. The energy distribution of the central and peripheral zones often drifts, the incident differences caused by pupil opening fluctuations lack immediate compensation, the scattering intensity of the microstructure easily deviates under dynamic field of view, resulting in unstable retinal illumination mode, limited accuracy of zoning defocus distribution, and difficulty in maintaining overall optical path and energy balance, leading to fluctuations in imaging quality and decreased regulation stability, and insufficient zoning adaptability. SUMMARY

[0005] In order to solve the technical problems existing in the prior art, the present application embodiment provides a multi-zone differential regulation heterogeneous scattering unit array myopia control lens system. The technical solution is as follows: On the one hand, a multi-zone differential regulation heterogeneous scattering unit array myopia control lens system is provided, which comprises: The light energy analysis module collects incident light intensity, reflected light intensity and transmission energy data of the central vision area, the transition area and the peripheral control area, and performs light energy distribution fitting calculation on the light energy distribution characteristics of multiple partitions to generate a scattering structure set and transfer it to the scattering optimization module; The scattering optimization module calculates the real-time reflectance based on the scattering structure set, analyzes the target light energy ratio in combination with the light energy distribution characteristics, analyzes the difference between the real-time reflectance and the target light energy ratio and optimizes the structure to generate a partition scattering parameter group and transfer it to the environment judgment module; The environment judgment module obtains environment brightness and pupil opening data, judges the illumination state in combination with the partition scattering parameter group, compares the environment brightness with the pupil response threshold, generates a scattering adjustment instruction set according to the judgment result and transfers it to the array control module; The array control module performs displacement control on the heterogeneous scattering unit array based on the scattering adjustment instruction set, adjusts the scattering angle and spacing in the central vision area, the transition area and the peripheral control area, extracts the reflected and transmitted light energy distribution of multiple partitions, analyzes the light energy difference and calculates the scattering array structure configuration of the lens in multiple partitions to generate a scattering array configuration result. The configuration optimization module re-optimizes the energy distribution state between lens partitions based on the scattering array configuration result, calculates the optical path difference and energy difference of the central, transition and peripheral three partitions, adjusts the phase and density distribution of the multiple partition scattering units, and generates an optimized scattering array configuration result.

[0006] As a further scheme of the present application, the scattering structure set includes incident light intensity, reflected light intensity and transmission energy data, the partition scattering parameter group includes real-time reflectance, target light energy ratio and structure optimization parameters, the scattering adjustment instruction set includes illumination state, environment brightness and pupil response threshold, and the scattering array configuration result includes partition reflected light energy distribution, partition transmitted light energy distribution and scattering array structure parameters. The optimized scattering array configuration result includes optical path difference parameters, energy difference parameters, phase distribution parameters and density distribution parameters.

[0007] As a further scheme of the present application, the light energy analysis module includes: The light intensity data submodule collects incident light intensity, reflected light intensity and transmission energy data of the central vision area, the transition area and the peripheral control area and synchronizes them, eliminates abnormal light intensity points, and then extracts light intensity average value and energy ratio according to regional division to generate a multiple partition light intensity statistical result. The energy fitting submodule analyzes the spatial distribution gradient and energy density of the multiple partition light intensity based on the multiple partition light intensity statistical result, calculates the light energy variation trend in the partition, compares the difference degree of the multiple partition light energy variation trend and adjusts the energy fitting parameters to generate a partition light energy distribution characteristic. The scattering structure submodule calculates energy scattering ratios of the multi-partition light energy in a spatial direction according to the partition light energy distribution characteristics, screens key scattering paths according to an energy scattering ratio threshold, and further analyzes energy correlation strengths between the paths to generate a scattering structure set.

[0008] As a further scheme of the present application, the energy scattering ratio threshold is calculated by spatial distribution characteristics of the light energy in the multiple partitions, the energy scattering ratios of the multiple partitions are calculated, and the median of the energy distribution differences between the multiple partitions is compared to determine.

[0009] As a further scheme of the present application, the scattering optimization module comprises: The reflectance calculation submodule extracts multi-partition reflected light intensity and incident light intensity data based on the scattering structure set, analyzes the light intensity ratio, corrects the reflected light intensity in combination with the incident angle and scattering angle difference, calculates real-time reflectance according to the ratio of the corrected reflected light intensity to the incident light intensity, and synchronizes to generate a partition reflectance value set; The light energy difference submodule calls the partition reflectance value set, calculates a target light energy ratio in combination with the multi-partition light energy distribution characteristics, analyzes the difference between the target light energy ratio and the real-time reflectance, extracts the change gradient, and generates a light energy difference gradient set; The structure parameter submodule adjusts the scattering structure of the multiple partitions according to the light energy difference gradient set, calculates the correlation coefficient between the difference gradient and the scattering direction vector, adjusts the scattering ratio and the reflection direction distribution, and integrates to generate a partition scattering parameter group.

[0010] As a further scheme of the present application, the environment determination module comprises: The environment data submodule acquires external environment brightness signals and pupil opening degree response signals, filters and smooths the brightness signals, extracts light intensity mean values and fluctuation intervals, calculates pupil area changes according to the pupil opening degree signals, and pairs the brightness fluctuation intervals to generate a brightness response coupling data set; The illumination judgment submodule calls the brightness response coupling data set and the partition scattering parameter group, calculates a relative deviation amount for the brightness mean value and the pupil area change rate, compares the deviation amount signs and amplitudes of the environmental brightness and the preset pupil response threshold, and classifies to generate an illumination state determination result; The scattering adjustment submodule matches the scattering parameters of each partition according to the illumination state determination result and the partition scattering parameter group, calculates a scattering intensity adjustment coefficient and a reflection angle distribution correction amount, and integrates to generate a scattering adjustment instruction set.

[0011] As a further scheme of the present application, the pupil response threshold is set by collecting a series of pupil opening degree changes of a human eye under at least three ambient brightness conditions, extracting the corresponding relationship between the brightness change rate and the pupil area change rate, and analyzing the sum of the mean value of the pupil area change corresponding to the brightness change rate and the preset multiple of the standard deviation.

[0012] As a further scheme of the present application, the array regulation module comprises: The instruction analysis submodule performs displacement regulation and matching and decoding on the array of heterogeneous scattering units based on the scattering adjustment instruction set, maps the displacement direction and amplitude data of the units in the array, extracts independent control amounts of the central vision area, the transition area and the peripheral control area, and generates a displacement regulation parameter set; The light energy extraction submodule adjusts the scattering angle and spacing of the array of heterogeneous scattering units in the multiple control areas based on the displacement regulation parameter set, collects the reflected light and transmitted light signal intensities of the central vision area, the transition area and the peripheral control area, calculates the multi-partition light energy difference and statistics the energy distribution trend, and obtains the light energy distribution difference; The array structure submodule calls the light energy distribution difference, calculates the corresponding relationship among the scattering angle, the unit spacing and the light energy difference in the multiple partitions, analyzes the structural configuration parameter combination of the scattering array according to the energy change amplitude of the multiple partitions in the light energy distribution difference value, and generates a scattering array configuration result.

[0013] As a further scheme of the present application, the configuration optimization module comprises: The energy evaluation submodule obtains the optical path data and energy output of the central, transition and peripheral three-partitions based on the scattering array configuration result, calculates the optical path difference and energy difference between the multiple partitions, performs difference statistics and normalization processing on the ratio of the optical path difference and the energy difference, and generates a partition energy balance coefficient; The phase density submodule calls the partition energy balance coefficient, calculates the phase change rate and density correction amount in the multiple partitions according to the phase parameters and density distribution parameters of the scattering units in the central, transition and peripheral partitions, and performs phase and density correction on the energy difference offset to obtain a partition phase density adjustment result; The array configuration submodule reconfigures the arrangement order and spacing parameters of the scattering units in the three-partitions according to the partition phase density adjustment result, calculates the optical path balance value and energy output trend, selects a parameter group whose optical path balance value reaches a preset energy distribution threshold, and generates an optimized scattering array configuration result.

[0014] The technical scheme provided by the embodiments of the present application has at least the following beneficial effects: By real-time collection and fitting of multi-partition incident reflection and transmission light energy, dynamic analysis of partition light energy characteristics is realized, adaptive correlation between partition scattering parameters and environmental brightness and pupil change is established, each zone scattering angle and spacing adjustment can be corrected in time according to light energy difference, energy distribution from central vision zone to peripheral control zone is kept stable, optical path difference and energy difference are balanced synchronously, retinal illumination mode is more constant, and off-focus distribution precision and overall imaging stability are improved. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort on the basis of these drawings.

[0016] Figure 1 is a schematic diagram of the system of the present application; Figure 2 is a schematic diagram of the system framework of the present application; Figure 3 is a flowchart of the light energy analysis module in the present application; Figure 4 is a flowchart of the scattering optimization module in the present application; Figure 5 is a flowchart of the environment determination module in the present application; Figure 6 is a flowchart of the array control module in the present application; Figure 7 is a flowchart of the configuration optimization module in the present application. DETAILED DESCRIPTION

[0017] The technical solutions in the present application will be described below in combination with the drawings.

[0018] In the embodiments of the present application, the words such as "example", "for example" are used to represent as an example, illustration or description. Any embodiment or design scheme described as "example" in the present application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. Rather, the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present application, the meaning expressed by "and / or" can be both, or can be either one of the two.

[0019] In the embodiments of the present application, "image" and "picture" can be used interchangeably, and it should be pointed out that their meanings are consistent when their differences are not emphasized.

[0020] In the embodiments of the present application, sometimes the subscript such as W1 can be written in the form of non-subscript such as W1, and the meanings are consistent when their differences are not emphasized.

[0021] In order to make the technical problems, technical solutions and advantages of the present application more clear, the following will be described in detail in combination with the drawings and specific embodiments.

[0022] The embodiments of the present application provide a multi-zone differential regulation heterogeneous scattering unit array myopia control lens system, as shown in the following figure. Figures 1-2 The multi-zone differential regulation heterogeneous scattering unit array myopia control lens system schematic diagram is shown in the following figure, and the system comprises: An optical energy analysis module collects incident light intensity, reflected light intensity and transmitted energy data of the central vision area, the transition area and the peripheral control area, performs optical energy distribution fitting calculation on the optical energy distribution characteristics of the multi-zone, generates a scattering structure set and transmits it to a scattering optimization module; A scattering optimization module calculates a real-time reflectance based on the scattering structure set, analyzes a target optical energy ratio in combination with the optical energy distribution characteristics, analyzes the difference between the real-time reflectance and the target optical energy ratio and optimizes the structure, generates a partition scattering parameter group and transmits it to an environment determination module; An environment determination module obtains environment brightness and pupil opening degree data, judges the illumination state in combination with the partition scattering parameter group, compares the environment brightness with the pupil response threshold, generates a scattering adjustment instruction set according to the judgment result and transmits it to an array regulation module; An array regulation module performs displacement regulation on the heterogeneous scattering unit array based on the scattering adjustment instruction set, adjusts the scattering angle and the spacing in the central vision area, the transition area and the peripheral control area, extracts the reflected and transmitted optical energy distribution of the multi-zone, analyzes the optical energy difference and calculates the scattering array structure configuration of the lens under the multi-zone, and generates a scattering array configuration result; A configuration optimization module re-optimizes the energy distribution state between the lens partitions based on the scattering array configuration result, calculates the optical path difference and the energy difference of the central, transition and peripheral three partitions, adjusts the phase and density distribution of the multi-zone scattering units, and generates an optimized scattering array configuration result.

[0023] The scattering structure set includes incident light intensity, reflected light intensity, and transmission energy data, the partition scattering parameter group includes real-time reflectance, target light energy ratio, and structure optimization parameter, the scattering adjustment instruction set includes illumination state, environment brightness, and pupil response threshold, and the scattering array configuration result includes partition reflected light energy distribution, partition transmitted light energy distribution, and scattering array structure parameter. The optimized scattering array configuration result includes optical path difference parameter, energy difference parameter, phase distribution parameter, and density distribution parameter.

[0024] Specifically, as shown in Figure 2 , 3 The light energy analysis module includes: A light intensity data submodule collects incident light intensity, reflected light intensity, and transmission energy data of the central vision area, the transition area, and the peripheral control area, synchronizes them, eliminates abnormal light intensity points, then extracts light intensity average value and energy ratio according to area division, and generates multi-partition light intensity statistical result. The incident light intensity, reflected light intensity and transmitted energy data of the central vision zone, transition zone and peripheral control zone are collected. After the action is completed, synchronization processing is performed. In specific implementation, a unified timestamp is assigned to each light intensity data point from the central vision zone, transition zone and peripheral control zone. For example, at the time of 1 millisecond, 2 milliseconds, 3 milliseconds, 4 milliseconds and 5 milliseconds, the incident light intensity, reflected light intensity and transmitted energy of the three regions are collected respectively. This action ensures that the data of all 9 channels are aligned in time. The synchronized data stream enters the abnormal light intensity point elimination process. The abnormal light intensity point determination standard is pre-set. The standard is determined through an experimental verification process: 100 standard multifocal intraocular lens (IOL) samples are selected and tested under a standard light path (650 nanometer laser), and 10000 data points are collected. Analysis shows that 99.2% of the stable signal fluctuations (caused by the detector thermal noise) do not exceed 20% of the 5-point rolling average value to which the data point belongs. When a small alignment deviation of 0.5 millimeters is introduced, 96% of the cases will produce a transient peak exceeding 20%. Therefore, “deviation from the 5-point rolling average value of the region by 20%” is set as the abnormal point determination benchmark. Taking the transmitted energy data (unit: milliwatt) of the central vision zone at time equal to 1 millisecond to 5 milliseconds as an example, the original sequence is: [10.2, 10.4, 10.3, 15.8, 10.5]. The 5-point (here, all) rolling average value at the time of 4 milliseconds is calculated: (10.2+10.4+10.3+15.8+10.5) / 5=11.44 milliwatts. The deviation of the data point at the time of 4 milliseconds is calculated: |15.8-11.44| / 11.44=38.1%. The value 38.1% is greater than 20%, so the data point of 15.8 milliwatts at the time of 4 milliseconds is determined to be an abnormal light intensity point and is eliminated. After elimination, the sequence becomes [10.2, 10.4, 10.3, 10.5]. After completing the abnormal point elimination, the light intensity average value is extracted according to the region division. Continuing the above example, the average value of the transmitted energy of the central vision zone after eliminating the abnormal point is: (10.2+10.4+10.3+10.5) / 4=10.35 milliwatts. This process is also applied to all channels, for example: the original sequence of the incident light intensity of the central vision zone is [20.1, 20.0, 20.2, 19.9, 20.3] milliwatts, and the average value after elimination is 20.10 milliwatts. The original sequence of the incident light intensity of the transition zone is [15.2, 15.1, 15.0, 15.3, 15.2] milliwatts, and the average value after elimination is 15.16 milliwatts. The original sequence of the transmitted energy of the transition zone is [8.1, 8.0, 7.9, 8.2, 8.1] milliwatts, and the average value after elimination is 8.06 milliwatts. The original sequence of the incident light intensity of the peripheral control zone is [10.1, 10.2, 9.9, 10.0, 10.1] milliwatts, and the average value after elimination is 10.06 milliwatts.The raw sequence of the peripheral control zone transmission energy is [4.2, 4.1, 4.0, 4.2, 4.1] mW, and the average value after elimination is 4.12 mW. After data processing, the energy ratio (average value of transmission energy / average value of incident light intensity) is calculated. The energy ratio of the central vision zone: 10.35 mW / 20.10 mW = 0.515. The energy ratio of the transition zone: 8.06 mW / 15.16 mW = 0.532. The energy ratio of the peripheral control zone: 4.12 mW / 10.06 mW = 0.410. The generated multi-zone light intensity statistical results are integrated into a set of data: [central zone average incident 20.10 mW, central zone energy ratio 0.515; transition zone average incident 15.16 mW, transition zone energy ratio 0.532; peripheral zone average incident 10.06 mW, peripheral zone energy ratio 0.410].

[0025] The energy fitting sub-module analyzes the spatial distribution gradient and energy density of the multi-zone light intensity based on the multi-zone light intensity statistical results, calculates the light energy change trend in the partition, compares the difference degree of the multi-zone light energy change trend, and adjusts the energy fitting parameters to generate the partition light energy distribution characteristics; The generated multi-zone light intensity statistical results are received: [central zone average incident 20.10 mW, central zone energy ratio 0.515; transition zone average incident 15.16 mW, transition zone energy ratio 0.532; peripheral zone average incident 10.06 mW, peripheral zone energy ratio 0.410]. Based on this, the spatial distribution gradient of the multi-zone light intensity is first analyzed. The spatial distribution gradient is defined as the normalized light intensity change rate between the center points of adjacent regions (unit: mW / mm, the center point distance of each region is set to 5 mm). The incident light intensity spatial distribution gradient (central-transition) calculation: (20.10-15.16) / 5 = 0.988 mW / mm. The incident light intensity spatial distribution gradient (transition-peripheral) calculation: (15.16-10.06) / 5 = 1.020 mW / mm. The spatial distribution gradient of the energy density (here, it refers to the transmission energy) is calculated: the transmission energy spatial distribution gradient (central-transition) calculation: (0.515 20.10-0.532 15.16) / 5 = (10.35-8.06) / 5 = 0.458 mW / mm. The transmission energy spatial distribution gradient (transition-peripheral) calculation: (0.532 15.16-0.410 10.06) / 5 = (8.06 - 4.12) / 5 = 0.788 mW / mm. Then, the trend of light energy variation in the zone is calculated, which refers to the trend of the ratio of light energy in space. The trend of ratio variation (center - transition) is calculated as: 0.515 - 0.532 = -0.017. The trend of ratio variation (transition - periphery) is calculated as: 0.532 - 0.410 = 0.122. Next, the difference degree of the trends of light energy variation in multiple zones is compared. The difference degree is defined as the absolute value of the normalized difference between the gradient of incident light intensity and the gradient of transmitted energy. The difference degree (center - transition) is calculated as: |0.988 - 0.458| / 0.988 = 0.536. The difference degree (transition - periphery) is calculated as: |1.020 - 0.788| / 1.020 = 0.227. An energy fitting parameter is set to represent the linearity of overall energy transmission among the three zones, and the initial parameter is calculated as: (0.515 - 0.410) / (20.10 - 10.06) = 0.105 / 10.04 = 0.01046. Meanwhile, a difference degree adjustment threshold is set to be equal to 0.20. The threshold is set by experimental verification: 50 IOL samples known to have high diffraction efficiency ("good") and 50 IOL samples known to have high stray light ("bad") are analyzed. The results show that 96% of the "good" samples have all zone difference degrees lower than 0.20, while 94% of the "bad" samples have at least one zone difference degree higher than 0.20. 0.20 is selected as the adjustment execution benchmark. Comparing 0.536 (center - transition) and 0.227 (transition - periphery), both are greater than 0.20. The energy fitting parameter adjustment is executed. The adjustment rule is: the average difference degree = (0.536 + 0.227) / 2 = 0.3815. The adjusted parameter = 0.01046 (1 - 0.3815) = 0.00647. If the average difference degree is lower than 0.20, the adjusted parameter remains 0.01046. The generated zone light energy distribution features are integrated as: [incident gradient (center - transition) = 0.988, transmitted gradient (center - transition) = 0.458, incident gradient (transition - periphery) = 1.020, transmitted gradient (transition - periphery) = 0.788, adjusted fitting parameter = 0.00647].

[0026] The scattering structure submodule calculates the energy scattering proportion of the multiple zone light energy in the spatial direction according to the zone light energy distribution features, and screens the key scattering paths according to the energy scattering proportion threshold, and further analyzes the energy correlation strength between the paths to generate a scattering structure set. Receiving zone light energy distribution characteristics: [incident gradient (center - transition) = 0.988, transmission gradient (center - transition) = 0.458; incident gradient (transition - periphery) = 1.020, transmission gradient (transition - periphery) = 0.788; adjusted fitting parameter = 0.00647]. First, the energy scattering ratio of multi-zone light energy in the spatial direction is calculated. The energy scattering ratio is defined as the ratio between the difference (i.e., gradient loss) of incident light intensity gradient and transmission light intensity gradient and the incident light intensity gradient. The center-transition zone scattering ratio calculation: (0.988-0.458) / 0.988=0.5364. The transition-periphery zone scattering ratio calculation: (1.020-0.788) / 1.020=0.2275. Next, the key scattering path is screened according to the energy scattering ratio threshold. The energy scattering ratio threshold is set to 0.15. The setting of this threshold is based on the following experimental verification: light scattering tests are performed on 200 different materials (PMMA, hydrophobic acrylate) of IOLs. The test results show that when the scattering ratio is lower than 0.15, the scattering light intensity of 98% of the samples is lower than the background noise baseline (0.05 milliwatts) of the detector, and cannot form recognizable scattering artifacts. When the scattering ratio is higher than 0.15, the correlation coefficient RR of the scattering light intensity and the scattering ratio value reaches 0.88. 0.15 is determined as the benchmark for screening the key scattering path. Perform screening: compare the center-transition zone scattering ratio 0.5364. 0.5364 is greater than 0.15, and the path "center-transition" is screened as the key scattering path. Compare the transition-periphery zone scattering ratio 0.2275. 0.2275 is greater than 0.15, and the path "transition-periphery" is screened as the key scattering path. Then, the energy correlation strength between the paths is further analyzed. The energy correlation strength is defined as the absolute difference between the scattering ratio product of the two key scattering paths and the system adjusted fitting parameter (0.00647). Energy correlation strength calculation: |(0.5364 0.2275)-0.00647|. Calculation (0.5364 0.2275)=0.122043. Calculate the energy correlation strength = |0.122043-0.00647|=0.115573. This energy correlation strength value represents the deviation amount between the actual scattering coupling degree of the two key scattering paths and the overall linear fitting parameter. The generated scattering structure set is defined as: {path: center-transition, scattering ratio = 0.5364, state: key}, {path: transition-periphery, scattering ratio = 0.2275, state: key}, {correlation strength = 0.115573}.

[0027] Specifically, as shown in Figure 2 、 4 , the scattering optimization module includes: The reflection ratio calculation sub-module extracts multi-partition reflected light intensity and incident light intensity data based on the scattering structure set, analyzes the light intensity ratio, and corrects the reflected light intensity in combination with the incident angle and scattering angle difference value, calculates the real-time reflection ratio according to the ratio of the corrected reflected light intensity and incident light intensity, and synchronizes to generate a set of partitioned reflection ratio values; Based on the generated scattering structure set, multi-partition reflected light intensity and incident light intensity data are extracted. This data is obtained from the initial collection of the light intensity data sub-module and is kept synchronized with the aforementioned transmission and scattering data in terms of time stamp. The extracted data is: the average incident light intensity in the central vision area is 20.10 milliwatts, the average reflected light intensity in the central vision area is 4.02 milliwatts; the average incident light intensity in the transition area is 15.16 milliwatts, the average reflected light intensity in the transition area is 3.01 milliwatts; the average incident light intensity in the peripheral control area is 10.06 milliwatts, and the average reflected light intensity in the peripheral control area is 2.51 milliwatts. The light intensity ratio is analyzed, that is, the initial reflection ratio is calculated: the central area is 4.02 / 20.10=0.200; the transition area is 3.01 / 15.16=0.1985; and the peripheral area is 2.51 / 10.06=0.2495. Then, the reflected light intensity is corrected in combination with the incident angle and scattering angle difference value. The incident angle is fixed at 0 degrees through optical path calibration. The scattering angle, which refers to the angle of the main reflection direction deviating from the normal line here, is measured by a high-angle resolution detector array: 2 degrees in the central area; 5 degrees in the transition area; and 3 degrees in the peripheral area. The incident angle and scattering angle difference value is calculated: the difference value in the central area is 2 degrees; the difference value in the transition area is 5 degrees; and the difference value in the peripheral area is 3 degrees. The correction process uses a correction coefficient based on experimental verification. The experimental verification process is: select 100 spherical lens samples with known Fresnel reflectivity, measure the detector readings at 1 degree, 2 degrees, 3 degrees to 10 degrees positions at an incident angle of 0 degrees under standard optical path. The analysis data shows that the reflected light intensity received by the detector decreases by an average of 2.0% for every 1 degree deviation from the normal line. Therefore, the correction factor calculation method is set as 1.0 divided by (1.0 minus 0.02 times the angle difference). The correction factors of each area are calculated: the central area correction factor = 1.0 / (1.0-0.02 2)=1.0 / 0.96=1.0417. The transition area correction factor = 1.0 / (1.0-0.02 5)=1.0 / 0.90=1.1111. The peripheral area correction factor = 1.0 / (1.0-0.02 3)=1.0 / 0.94=1.0638. The corrected reflected light intensity is calculated by applying the correction factor: the central area corrected light intensity = 4.02 1.0417=4.188 milliwatts. The transition area corrected light intensity = 3.01 1.1111=3.344 milliwatts. The peripheral area corrected light intensity = 2.51 1.0638 = 2.670 mW. Real-time reflectance is calculated according to the ratio of the corrected reflected light intensity to the incident light intensity: Central zone real-time reflectance = 4.188 / 20.10 = 0.2084. Transition zone real-time reflectance = 3.344 / 15.16 = 0.2206. Peripheral zone real-time reflectance = 2.670 / 10.06 = 0.2654. The three calculated ratios are time-stamped synchronized. The generated set of zone-specific reflectance values is: [Central zone reflectance 0.2084, transition zone reflectance 0.2206, peripheral zone reflectance 0.2654].

[0028] A light energy difference sub-module calls the set of zone-specific reflectance values and combines the multi-zone light energy distribution characteristics to calculate the target light energy ratio, analyze the difference between the target light energy ratio and the real-time reflectance, and extract the change gradient to generate a set of light energy difference gradients; The generated set of zone-specific reflectance values is called: [Central zone reflectance 0.2084, transition zone reflectance 0.2206, peripheral zone reflectance 0.2654]. At the same time, the target light energy ratio is calculated in combination with the multi-zone light energy distribution characteristics [adjusted fitting parameter 0.00647] and the energy ratios (i.e., the transmittance energy ratios) of the light intensity data sub-module [central zone energy ratio 0.515, transition zone energy ratio 0.532, peripheral zone energy ratio 0.410]. The target light energy ratio is defined as the total non-transmittance light energy ratio of the zone, which is calculated by subtracting the transmittance energy ratio of the zone from 1.0. The target light energy ratios of the zones are calculated: Central zone target light energy ratio = 1.0 - 0.515 = 0.485. Transition zone target light energy ratio = 1.0 - 0.532 = 0.468. Peripheral zone target light energy ratio = 1.0 - 0.410 = 0.590. Next, the difference between the target light energy ratio and the real-time reflectance is analyzed. This difference represents the ratio of energy that is scattered, absorbed, or dissipated in addition to the main reflected energy. Central zone difference = 0.485 - 0.2084 = 0.2766. Transition zone difference = 0.468 - 0.2206 = 0.2474. Peripheral zone difference = 0.590 - 0.2654 = 0.3246. Then, the change gradient of the difference is extracted. This gradient represents the rate of change of the scattered or absorbed energy ratio in space, and according to the aforementioned setting, the center-to-center distance of the zones is 5 mm. Central-to-transition zone gradient = (0.2766 - 0.2474) / 5.0 = 0.00584. Transition-to-peripheral zone gradient = (0.2474 - 0.3246) / 5.0 = -0.01544. The set of light energy difference gradients is generated: [Central-to-transition zone gradient 0.00584, transition-to-peripheral zone gradient -0.01544].

[0029] The structural parameter submodule adjusts the scattering structure of the multi-zone based on the light energy difference gradient set, calculates the correlation coefficient between the difference gradient and the scattering direction vector, adjusts the scattering ratio and reflection direction distribution, and integrates to generate a zone scattering parameter set. Based on the generated light energy difference gradient set [center-transition gradient 0.00584, transition-periphery gradient -0.01544], the scattering structure of the multi-zone is adjusted. This adjustment action calls the scattering structure set [{path: center-transition, scattering ratio 0.5364}, {path: transition-periphery, scattering ratio 0.2275}] generated in the previous steps. First, the correlation coefficient between the difference gradient and the scattering direction vector is calculated. The scattering direction vector is quantized as the average scattering angle, calculated from the centroid of the scattered light spot energy distribution. The measured average scattering angle of the center-transition path is set to 8 degrees; the average scattering angle of the transition-periphery path is set to 25 degrees. The correlation coefficient is defined as the ratio of the difference gradient to the product of the average scattering angle and the scattering ratio. The correlation coefficient for each path is calculated as: center-transition = 0.00584 / (8...). 0.5364) = 0.00584 / 4.2912 = 0.00136. Transition-periphery correlation coefficient = -0.01544 / (25) 0.2275) = -0.01544 / 5.6875 = -0.00271. Next, adjust the scattering ratio and reflection direction distribution (i.e., the average scattering angle) based on the correlation coefficient. The goal of the adjustment is to make the correlation coefficient approach a target value of 0.0010. This target value was verified experimentally: analysis of 50 IOL samples with known optical quality (low stray light) showed that their correlation values ​​were all distributed between 0.0008 and 0.0012; while for 50 samples with poor optical quality (high stray light), their correlation values ​​were all greater than 0.003 or less than -0.003. 0.0010 was selected as the target benchmark. Calculate the adjustment factor, i.e., 0.0010 divided by the current correlation coefficient. Central-transition adjustment factor = 0.0010 / 0.00136 = 0.735. Transition-periphery adjustment factor = 0.0010 / (-0.00271) = -0.369. Adjust the scattering ratio using an adjustment factor (absolute value): Adjusted center-transition scattering ratio = 0.5364 0.735 = 0.3943. Adjusted transition-peripheral scattering ratio = 0.2275 0.369 = 0.0840. Adjust the average scattering angle using an adjustment factor (absolute value): After adjustment, the center-transition scattering angle = 8. 0.735 = 5.88 degrees. Adjusted transition-peripheral scattering angle = 25 degrees. 0.369 = 9.225 degrees. Finally, the partition scattering parameter group is generated: [{Path: Central-Transition, Adjusted scattering ratio: 0.3943, Adjusted scattering angle: 5.88 degrees}, {Path: Transition-Periphery, Adjusted scattering ratio: 0.0840, Adjusted scattering angle: 9.225 degrees}].

[0030] Specifically, such as Figure 2 , 5 As shown, the environment determination module includes: The environmental data submodule acquires the external environmental brightness signal and pupil opening response signal, filters and smooths the brightness signal, extracts the average light intensity and fluctuation range, calculates the pupil area change based on the pupil opening signal and pairs it with the brightness fluctuation range to generate a brightness response coupled dataset. The ambient light signal and pupil dilation response signal were acquired at a frequency of 1 Hz within a 5-second period. The acquired raw ambient light signal (unit: lux) sequence was: [1500, 1550, 1480, 1600, 1520]. The acquired synchronous pupil dilation response signal (unit: millimeters) sequence was: [3.5, 3.4, 3.6, 3.3, 3.5]. The light signals were filtered and smoothed. A 3-point trailing moving average algorithm was used for smoothing. This algorithm was selected based on experimental verification: analysis of 100 sets of ambient light data showed that high-frequency sensor noise (period less than 2 seconds) accounted for 95%, while the actual ambient light change (cloud cover) period was greater than 5 seconds. The 3-point average was determined to eliminate 98% of the sensor noise while retaining 99% of the actual environmental change trend. Calculation process: Point 1 = 1500 (no average); Point 2 = 1550 (no average); Point 3 = (1500 + 1550 + 1480) / 3 = 1510.0 lux; Point 4 = (1550 + 1480 + 1600) / 3 = 1543.3 lux; Point 5 = (1480 + 1600 + 1520) / 3 = 1533.3 lux. The smoothed brightness signal sequence is: [1500, 1550, 1510.0, 1543.3, 1533.3]. The mean light intensity and fluctuation range are extracted based on the smoothed sequence. Mean light intensity = (1500 + 1550 + 1510.0 + 1543.3 + 1533.3) / 5 = 1527.32 lux. The fluctuation range = maximum value (1550.0) minus minimum value (1500.0) = 50.0 lux. The pupil area change rate is calculated based on the pupil dilation signal. First, the pupil dilation signal (mm) [3.5, 3.4, 3.6, 3.3, 3.5] is smoothed using a 3-point trailing moving average: point 1 = 3.5; point 2 = 3.4; point 3 = (3.5 + 3.4 + 3.6) / 3 = 3.50; point 4 = (3.4 + 3.6 + 3.3) / 3 = 3.43; point 5 = (3.6 + 3.3 + 3.5) / 3 = 3.47. The smoothed pupil dilation sequence is: [3.5, 3.4, 3.50, 3.43, 3.47]. The pupil area is calculated (area = 3.14159). (Opening / 2) (Opening / 2): Area sequence [9.62, 9.08, 9.62, 9.24, 9.46] (unit: square millimeters). Calculate the pupil area change rate ((area(t)-area(t-1)) / 1 second): Rate sequence [none, -0.54, +0.54, -0.38, +0.22]. Extract the maximum absolute change rate = 0.54 square millimeters / second. Pair the pupil area change rate with the brightness fluctuation range. The generated data pairs are: {mean light intensity: 1527.32 lux, brightness fluctuation range: 50.0 lux, average pupil area: 9.40 square millimeters, maximum pupil area change rate: 0.54 square millimeters / second}. This set of data constitutes the brightness response coupled dataset.

[0031] The illumination judgment submodule calls the brightness response coupling dataset and the partition scattering parameter group, calculates the relative deviation between the mean brightness and the pupil area change rate, compares the sign and amplitude of the deviation between the ambient brightness and the preset pupil response threshold, classifies them, and generates the illumination state judgment result. The luminance response coupling dataset {mean luminous intensity: 1527.32 lux, luminance fluctuation range: 50.0 lux, maximum pupil area change rate: 0.54 mm² / s} is used, along with the partitioned scattering parameter group generated in the previous steps [{path: center-transition, adjusted scattering ratio: 0.3943, adjusted scattering angle: 5.88 degrees}, {path: transition-periphery, adjusted scattering ratio: 0.0840, adjusted scattering angle: 9.225 degrees}]. The relative deviation between the mean luminance and the pupil area change rate is calculated. This calculation must refer to the ambient luminance baseline and the pupil response threshold. The ambient luminance baseline is set to 1000 lux. This value is set according to the International Commission on Illumination (CIE) standard; 1000 lux is the key boundary point distinguishing between high-intensity indoor lighting (photopic vision) and outdoor shadows (high-intensity photopic vision). The pupil response threshold (area change rate) is set to 1.0 mm² / s. This value was set based on pupillography data from 500 subjects: under stable illumination, the rate of change caused by physiological pupillary susceptibility (Hippus) was less than 0.8 mm² / s in 95% of subjects. 1.0 mm² / s was determined as a reliable threshold for distinguishing between physiological fluctuations and responses to actual illumination changes. The relative deviations were calculated as follows: Mean luminance deviation = (Mean light intensity - Luminance baseline) / Luminance baseline = (1527.32 - 1000) / 1000 = +0.5273. Pupil response deviation = (Maximum pupillary area change rate - Pupil response threshold) / Pupil response threshold = (0.54 - 1.0) / 1.0 = -0.460. The next step was to compare the sign and magnitude of the deviations between ambient luminance and the pupil response threshold and to classify the intervals. The classification rules are predefined as follows: (1) Stable strong light: mean luminance deviation > +0.1 and pupil response deviation < +0.1; (2) Stable weak light: mean luminance deviation < -0.1 and pupil response deviation < +0.1; (3) Dynamic strong light (glare): mean luminance deviation > +0.1 and pupil response deviation > +0.1; (4) Dynamic weak light (dark adaptation): mean luminance deviation < -0.1 and pupil response deviation > +0.1; (5) Stable medium light: mean luminance deviation is between -0.1 and +0.1. Analyzing the current deviations: mean luminance deviation +0.5273 is greater than +0.1. Pupil response deviation -0.460 is less than +0.1. The current state conforms to classification rule (1). The generated illumination state judgment result is: "Stable strong light".

[0032] The scattering adjustment submodule matches the scattering parameters of each zone with the illumination state determination result and the zone scattering parameter group, calculates the scattering intensity adjustment coefficient and the reflection angle distribution correction amount and integrates them to generate a scattering adjustment instruction set; Based on the illumination condition determination result of "stable strong light", the scattering parameter group [{path: center-transition, adjusted scattering ratio: 0.3943, adjusted scattering angle: 5.88 degrees}, {path: transition-periphery, adjusted scattering ratio: 0.0840, adjusted scattering angle: 9.225 degrees}] is called to match the scattering parameters of each zone. The matching rules are based on a preset visual optimization strategy table. This strategy table is verified through 1000 simulated visual scenarios (ZEMAX simulation): when the condition is determined to be "dynamic strong light", the scattering of the central visual area (center-transition path) needs to be significantly reduced, and the scattering of the peripheral control area (transition-periphery path) also needs to be reduced. Based on this matching result, the scattering intensity adjustment coefficient and the reflection angle distribution correction amount are calculated. First, a basic adjustment step size of 0.1 is set. This value is set based on clinical feedback from 500 IOL implant patients: an adjustment of 10% (i.e., 0.1) of the scattering parameter (ratio or angle) is recognized as a "just perceptible" visual difference by 95% of patients. Based on the "dynamic high-intensity light" strategy, adjustment direction coefficients are assigned to the paths: Central-transition path intensity adjustment coefficient -2.0 (significantly reduced), angle adjustment coefficient -1.5 (significantly narrowed); Transition-periphery path intensity adjustment coefficient -1.0 (reduced), angle adjustment coefficient -1.0 (narrowed). The final adjustment coefficient (base adjustment step size multiplied by the adjustment direction coefficient) is calculated: Central-transition intensity adjustment = 0.1 (-2.0) = -0.20, Center-Transition Angle Adjustment = 0.1 (-1.5) = -0.15, Transition-surrounding strength adjustment = 0.1 (-1.0) = -0.10, Transition - Peripheral Angle Adjustment = 0.1 (-1.0) = -0.10. Apply the adjustment coefficients to the current partition scattering parameter group and integrate the generated instructions: New scattering ratio = old scattering ratio multiplied by (1 plus intensity adjustment coefficient); New scattering angle = old scattering angle multiplied by (1 plus angle adjustment coefficient), center-transition path: New scattering ratio = 0.3943 (1 + (-0.20)) = 0.31544, new scattering angle = 5.88 (1 + (-0.15)) = 5.88 0.85 = 4.998 degrees, Transition-peripheral path: New scattering ratio = 0.0840 (1 + (-0.10)) = 0.0840 0.90 = 0.0756. New scattering angle = 9.225. (1 + (-0.10)) = 9.225 0.90 = 8.3025 degrees. The generated scattering adjustment instruction set is: [{path: center-transition, set scattering ratio: 0.31544, set scattering angle: 4.998 degrees}, {path: transition-periphery, set scattering ratio: 0.0756, set scattering angle: 8.3025 degrees}].

[0033] Specifically, such as Figure 2 , 6 As shown, the array control module includes: The instruction parsing submodule, based on the scattering adjustment instruction set, performs displacement control on the heterogeneous scattering unit array and performs matching and decoding. It maps the displacement direction and amplitude data of the units in the array, extracts the independent control quantities of the central visual area, transition area and peripheral control area, and generates a displacement control parameter set. Based on the scattering adjustment instruction set generated in the previous step [{path: center-transition, set scattering ratio: 0.31544, set scattering angle: 4.998 degrees}, {path: transition-periphery, set scattering ratio: 0.0756, set scattering angle: 8.3025 degrees}], displacement control, matching, and decoding are performed on the heterogeneous scattering unit array. This array consists of 10-micrometer square MEMS piezoelectric units. The decoding process maps optical instructions (scattering ratio, scattering angle) to physical displacements (displacement amplitude, displacement direction). This mapping relationship is executed through a pre-defined, experimentally verified conversion model. The model verification process involves applying Z-axis displacement amplitudes from 0.1 to 2.0 micrometers to 100 MEMS unit samples and measuring the principal scattering angle; simultaneously, applying planar displacement directions from 0 to 50 degrees and measuring the scattering ratio. Experimental data shows that: displacement amplitude (unit: micrometer) = (scattering angle (unit: degree) minus 0.5) divided by 5.0. Displacement direction (unit: degrees) = (scattering ratio minus 0.05) / 0.008. Based on this model, the instruction set is decoded and calculated: Central-transition path instruction decoding: Displacement amplitude = (4.998 - 0.5) / 5.0 = 0.8996 micrometers. Displacement direction = (0.31544 - 0.05) / 0.008 = 0.26544 / 0.008 = 33.18 degrees. Transition-peripheral path instruction decoding: Displacement amplitude = (8.3025 - 0.5) / 5.0 = 1.5605. Displacement direction = (0.0756 - 0.05) / 0.008 = 0.0256 / 0.008 = 3.2 degrees. Next, the independent control quantities of the central visual area, transition area, and peripheral control area are extracted. Since the decoded result is two "path" control quantities, while the physical partitioning consists of three areas, interpolation allocation is required. The allocation rule is as follows: the control quantity of the central visual area corresponds to the decoded value of the central-transition path; the control quantity of the peripheral control area corresponds to the decoded value of the transition-periphery path; the control quantity of the transition area adopts the linear mean of the control quantities of the central and peripheral areas. This rule is based on the structural setting that the transition area is located at the physical midpoint of the two areas. The transition area control quantity is calculated as follows: Transition area displacement amplitude = (0.8996 + 1.5605) / 2 = 1.23005 micrometers. Transition area displacement direction = (33.18 + 3.2) / 2 = 18.19 degrees. The following displacement control parameter sets are generated: {Region: Central, Amplitude: 0.8996 micrometers, Direction: 33.18 degrees}, {Region: Transition, Amplitude: 1.23005 micrometers, Direction: 18.19 degrees}, {Region: Periphery, Amplitude: 1.5605 micrometers, Direction: 3.2 degrees}.

[0034] The light energy extraction submodule, based on the displacement control parameter set, adjusts the scattering angle and spacing of the heterogeneous scattering unit array in multiple control areas, collects the intensity of reflected and transmitted light signals in the central visual area, transition area and peripheral control area, calculates the light energy difference in multiple zones and statistically analyzes the energy distribution trend to obtain the light energy distribution difference. Based on the generated displacement control parameter set {region: center, amplitude: 0.8996µm, orientation: 33.18°}, {region: transition, amplitude: 1.23005µm, orientation: 18.19°}, {region: periphery, amplitude: 1.5605µm, orientation: 3.2°}, the scattering angle and spacing of the heterogeneous scattering unit array in the multi-control region are adjusted. This adjustment is achieved by converting the amplitude and orientation data in the parameter set into corresponding piezoelectric driving voltages, which are then applied to the corresponding partitions of the MEMS array. The array responds and stabilizes to the new physical form within 15 milliseconds. After stabilization, the intensity of reflected and transmitted light signals in the central visual region, transition region, and peripheral control region are immediately acquired. The acquisition uses the same optical path system and detector as in the previous steps. While keeping the incident light intensity constant (20.10 mW in the center, 15.16 mW in the transition, and 10.06 mW in the periphery), new light intensity data are measured: central region: reflected light 3.80 mW, transmitted light 10.80 mW. Transition zone: Reflected light 3.50 mW, transmitted light 8.20 mW. Peripheral zone: Reflected light 2.80 mW, transmitted light 4.50 mW. Next, calculate the energy difference across the zones. The "energy difference" is defined as the incident light intensity minus the reflected light intensity minus the transmitted light intensity; this difference represents the energy absorbed or dissipated. Central zone energy difference = 20.10 - 3.80 - 10.80 = 5.50 mW. Transition zone energy difference = 15.16 - 3.50 - 8.20 = 3.46 mW. Peripheral zone energy difference = 10.06 - 2.80 - 4.50 = 2.76 mW. Subsequently, statistically analyze the energy distribution trend. This statistical process compares the energy difference with the incident light intensity of the zone, calculating the "energy difference ratio". Central zone difference ratio = 5.50 / 20.10 = 0.274. The difference ratio in the transition zone is 3.46 / 15.16 = 0.228. The difference ratio in the peripheral zone is 2.76 / 10.06 = 0.275. (For comparison: the difference ratios in the previous iteration were [0.2766, 0.2474, 0.3246]). The resulting differences in light energy distribution are: {Region: Central, Difference Ratio: 0.274}, {Region: Transition, Difference Ratio: 0.228}, {Region: Periphery, Difference Ratio: 0.275}.

[0035] The array structure submodule calls the light energy distribution difference to calculate the correspondence between the scattering angle, unit spacing and light energy difference in multiple partitions. Based on the energy change amplitude of multiple partitions in the light energy distribution difference value, it analyzes the combination of structural configuration parameters of the scattering array and generates the scattering array configuration result. The light energy distribution difference data obtained in the previous step are retrieved: {Region: Central, Difference Ratio: 0.274}, {Region: Transition, Difference Ratio: 0.228}, and {Region: Periphery, Difference Ratio: 0.275}. First, the correspondence between the scattering angle, cell spacing (determined by the displacement control parameter set [{C: amplitude 0.8996, azimuth 33.18}, {T: amplitude 1.2301, azimuth 18.19}, {P: amplitude 1.5605, azimuth 3.2}], and the light energy difference within the multi-zone area is calculated. This process verifies and updates the system model, storing this set of inputs (displacement parameters) and outputs (difference ratios) as new data points in the calibration database. For example, the data point [Central Zone: (Amplitude 0.8996, azimuth 33.18) → Difference Ratio 0.274] is recorded. Next, based on the energy variation amplitude of the multi-zone area in the light energy distribution difference values, the combination of structural configuration parameters of the scattering array is analyzed. This "energy change amplitude" is defined as the deviation between the "measured difference ratio" and the "target difference ratio". The target difference ratio is extracted from a preset strategy library based on the current illumination state "dynamic strong light". This strategy library was established through a glare tolerance experiment conducted on 500 subjects in a driving simulator. The experiment showed that under "dynamic strong light", the optimal light energy difference ratio (i.e., the target value) to balance visual acuity and glare suppression is: [Central: 0.250, Transition: 0.200, Peripheral: 0.200]. The deviation amplitude (energy change amplitude) of each zone was calculated as follows: Central zone deviation = 0.274 - 0.250 = +0.024, Transition zone deviation = 0.228 - 0.200 = +0.028, Peripheral zone deviation = 0.275 - 0.200 = +0.075. Analyzing this configuration combination requires comparing a convergence threshold, which is set to 0.030. This value is based on a clinical perception experiment: a perception test of light energy distribution differences in 100 IOL implant recipients showed that differences below 0.030 (3%) did not cause changes in subjective visual perception. Comparing the deviation magnitude with the convergence threshold (0.030): the central area deviation (0.024) was less than 0.030, the transition area deviation (0.028) was less than 0.030, and the peripheral area deviation (0.075) was greater than 0.030, generating the scattering array configuration result.

[0036] Table 1. Convergence Status of Scattering Array Configuration As shown in Table 1, the configuration results indicate that the central visual area and the transition area have reached the target configuration, while the configuration of the peripheral control area has not converged, and its deviation (+0.075) exceeds the threshold of 0.030.

[0037] Specifically, such as Figure 2 , 7 As shown, the configuration optimization module includes; The energy assessment submodule, based on the scattering array configuration results, acquires the optical path data and energy output of the central, transition, and peripheral zones, calculates the optical path difference and energy difference between multiple zones, performs difference statistics and normalization processing on the ratio of optical path difference to energy difference, and generates the zone energy balance coefficient. Based on the generated scattering array configuration, data from the non-converged peripheral control region and the converged central visual region are retrieved to perform a deep correlation analysis of optical path and energy. First, optical path data for the central visual region and the peripheral control region are acquired. The optical path data is determined by the physical displacement amplitude of the scattering unit and the refractive index of the medium. In this embodiment, the heterogeneous scattering unit array uses a hydrophobic acrylate material with a refractive index of 1.49 at a wavelength of 550 nm. The displacement control parameter set is retrieved: central region displacement amplitude 0.8996 μm; peripheral region displacement amplitude 1.5605 μm. The physical optical path is calculated: central region physical optical path = 1.49. 0.8996 = 1.3404 micrometers; Physical optical path length of the surrounding region = 1.49 1.5605 = 2.3251 micrometers. Simultaneously, acquire the energy output data for both zones. Here, "energy output" specifically refers to the "light energy difference" calculated in the aforementioned light energy extraction step, which characterizes the total modulation (scattering and absorption) of light energy by each zone. Data retrieved: Central zone light energy difference 5.50 milliwatts; peripheral zone light energy difference 2.76 milliwatts. Next, calculate the optical path difference and energy difference between the multiple zones. Optical path difference = peripheral zone physical optical path minus central zone physical optical path = 2.3251 - 1.3404 = 0.9847 micrometers. Energy difference = peripheral zone light energy difference minus central zone light energy difference = 2.76 - 5.50 = -2.74 milliwatts. Subsequently, perform difference statistics on the ratio of optical path difference to energy difference. Calculate the original coupling ratio = absolute value of optical path difference divided by absolute value of energy difference = 0.9847 / 2.74 = 0.3594 (unit: micrometers / milliwatt). This ratio reflects the difference in physical deformation required for a unit energy modulation difference. To evaluate the rationality of this ratio, normalization is necessary. The normalization reference value (standard coupling ratio) is set to 0.300. This reference value is derived from reverse engineering tests of 200 sets of high-efficiency IOL products: under ideal optical modulation efficiency, each milliwatt of energy distribution difference corresponds to approximately 0.300 micrometers of optical path modulation difference. The calculated partition energy balance coefficient = original coupling ratio divided by standard coupling ratio = 0.3594 / 0.300 = 1.198. This coefficient of 1.198 is greater than 1.0, indicating that the physical deformation (optical path modulation) of the peripheral control area relative to the central area is too large, resulting in a lower actual energy modulation effect, i.e., the modulation efficiency is not optimal, and there is redundant scattering or ineffective displacement. The advantage of this calculation method is that by introducing a dimensionless ratio of physical optical path to energy output, the coupling efficiency between the microscopic deformation of the scattering unit and the macroscopic optical performance is quantified, providing a precise quantitative basis for subsequent parameter decoupling correction. Generation partition energy balance coefficient: 1.198.

[0038] The phase density submodule calls the partition energy balance coefficient, calculates the phase change rate and density correction amount in multiple partitions based on the phase parameters and density distribution parameters of the scattering units in the central, transition and peripheral partitions, performs phase and density correction for the energy difference offset, and obtains the partition phase density adjustment result. Using the partitioned energy balance coefficient of 1.198 generated in the previous step, the scattering parameters of the surrounding control area are refined. The objects of this refinement are the phase parameters (corresponding to scattering angle / displacement direction) and density distribution parameters (corresponding to element spacing) of the scattering elements. The current parameter status of the surrounding control area is: phase parameter (displacement direction) 3.2 degrees; density distribution parameters need to be calculated based on the array arrangement. Assuming the initial array is a uniform square arrangement with a reference spacing of 20.0 micrometers, the initial density = 1000. 1000 / (20.0 20.0) = 2500 units / mm². Correction calculations are performed based on the energy balance coefficient. Since the coefficient 1.198 is greater than 1.0, the system determines that the modulation efficiency per unit cell needs to be improved by reducing the physical density and fine-tuning the phase, thereby maintaining or adjusting the energy output to the target value while reducing the total optical path (total displacement). The phase change rate and density correction are calculated. The correction model uses the following experimentally calibrated linear equations: Phase change rate = (Partition energy balance coefficient minus 1.0) multiplied by the phase sensitivity coefficient; Density correction = (Partition energy balance coefficient minus 1.0) multiplied by the density sensitivity coefficient. The phase sensitivity coefficient is set to -2.0 degrees; the density sensitivity coefficient is set to -800 units / mm². These coefficients are based on 500 array parameter scan experiments: the experiments show that with a balance coefficient offset of 0.1, the phase needs to be adjusted in the opposite direction by about 0.2 degrees, and the density needs to be reduced by about 80 units to restore balance. Substituting into the calculation: Phase change rate = (1.198 - 1.0) (-2.0) = -0.396. Density correction = (1.198 - 1.0) (-800) = 0.198 (-800) = -158.4 units / mm². Phase and density corrections were performed for the energy difference offset. The goal was to reduce the energy difference ratio in the peripheral region from 0.275 to 0.200 (i.e., reduce scattering). According to physical optics principles, reducing density directly reduces the total scattering, while fine-tuning the phase optimizes directivity. The corrected parameters were calculated as follows: New phase parameter = original phase 3.2 + (-0.396) = 2.804 degrees. New density parameter = original density 2500 + (-158.4) = 2341.6 units / mm². This result shows that by reducing the array density and fine-tuning the scattering phase, the modulation efficiency redundancy identified in the previous steps can be eliminated. The advantage of this approach is that by using the energy balance coefficient as a feedback variable, decoupled control of the spatial distribution (density) and individual state properties (phase) of the scattering units is achieved, avoiding nonlinear optical distortions that may result from adjusting a single parameter. The obtained partition phase density adjustment results are: {Region: periphery, set phase: 2.804 degrees, set density: 2341.6 units / square millimeter}.

[0039] The array configuration submodule reconfigures the arrangement order and spacing parameters of the scattering units in the three partitions based on the partition phase density adjustment results, calculates the optical path balance value and energy output trend, filters the parameter group whose optical path balance value reaches the preset energy distribution threshold, and generates the optimized scattering array configuration result. Based on the partitioned phase density adjustment results generated in the previous step {Region: Periphery, Set Phase: 2.804 degrees, Set Density: 2341.6 units / mm²}, the arrangement order and spacing parameters of the scattering units in the peripheral control area are reconfigured. First, the density parameters are converted into physical spacing parameters. Assuming the scattering units adopt a close-packed hexagonal structure, the relationship between their spacing and density is that the spacing equals the square root of (2 multiplied by 1,000,000 divided by (1.732 multiplied by density)). Substituting the new density of 2341.6, the calculation is: Spacing = (2,000,000 / (1.732)). The square root of 2341.6)) = the square root of (2000000 / 4055.6512) = the square root of 493.14 = 22.207 micrometers. That is, the unit spacing in the peripheral control area is adjusted from the equivalent 20.0 micrometers to 22.207 micrometers. The parameters of the central visual area (spacing 18.0 micrometers, density 3086 units / mm²) and the transition area (spacing 20.0 micrometers, density 2500 units / mm²) remain unchanged. Next, the optical path balance value and energy output trend are calculated. The optical path balance value is defined as the optical weighted average path of the entire array. The calculation formula is: the optical path balance value equals the sum of (regional area weight multiplied by density multiplied by unit optical path) divided by the sum of (regional area weight multiplied by density). Let the area weight be 0.2 for the central area, 0.3 for the transition area, and 0.5 for the peripheral area. Substituting the parameters for each region: Central region density = 3086, central region single-unit optical path length = 1.3404; Transition region density = 2500, transition region single-unit optical path length = 1.832 (based on a displacement of 1.23 micrometers); Peripheral region density = 2341.6, peripheral region single-unit optical path length = 2.3251. Calculating the product of each term: Central term = 0.2 3086 1.3404 = 827.29. Transition term = 0.3 2500 1.832 = 1374.0. Peripheral terms = 0.5 2341.6 2.3251 = 2722.34. The sum of the denominators = (0.2... 3086)+(0.3 2500)+(0.5 2341.6) = 617.2 + 750 + 1170.8 = 2538.0. Optical path equalization value = (827.29 + 1374.0 + 2722.34) / 2538.0 = 4923.63 / 2538.0 = 1.940 micrometers. The energy difference ratio of the surrounding area is predicted using the optical path equalization value. The predicted energy difference ratio of the surrounding area is equal to 0.1 multiplied by the optical path equalization value plus 0.005. The predicted energy difference ratio of the surrounding area = 0.1. 1.940 + 0.005 = 0.199. Filter the optical path equalization value. Compare the predicted ratio 0.199 with the target ratio 0.200; the absolute value of the deviation = the absolute value of 0.199 - 0.200 = 0.001. Set the preset energy distribution threshold to 0.005. Since 0.001 is less than 0.005, this parameter group is determined to meet the convergence condition. Generate the optimized scattering array configuration result.

[0040] Table 2 Optimized Post-Scattering Array Configuration Parameters As shown in Table 2, after phase and density decoupling correction, the predicted energy difference ratio of the surrounding control area converges to 0.199, which is extremely close to the target value of 0.200, and the optical path balance value formed by the combination of parameters of each zone meets the overall energy distribution requirements of the system.

[0041] The above are merely specific embodiments 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 myopia control lens system with a multi-zone differentiated control heterogeneous scattering unit array, characterized in that, The system includes: The light energy analysis module collects incident light intensity, reflected light intensity, and transmitted energy data from the central visual area, transition area, and peripheral control area. It then performs light energy distribution fitting to calculate the light energy distribution characteristics of multiple zones, generates a scattering structure set, and transmits it to the scattering optimization module. The scattering optimization module calculates the real-time reflectance based on the scattering structure set, analyzes the target light energy ratio in combination with the light energy distribution characteristics, analyzes the difference between the real-time reflectance and the target light energy ratio and optimizes the structure, generates a partitioned scattering parameter set and transmits it to the environment judgment module. The environment determination module acquires ambient brightness and pupil opening data, combines the partitioned scattering parameter group to determine the illumination state, compares the ambient brightness with the pupil response threshold, generates a scattering adjustment instruction set based on the determination result, and transmits it to the array control module. The array control module, based on the scattering adjustment instruction set, performs displacement control on the heterogeneous scattering unit array, adjusts the scattering angle and spacing in the central visual area, transition area and peripheral control area, extracts the reflected and transmitted light energy distribution of multiple zones, analyzes the light energy difference and calculates the scattering array structure configuration of the lens in multiple zones, and generates the scattering array configuration result.

2. The myopia control lens system with multi-zone differentiated regulation of heterogeneous scattering unit array according to claim 1, characterized in that: The scattering structure set includes incident light intensity, reflected light intensity, and transmitted energy data; the partitioned scattering parameter set includes real-time reflectance, target light energy ratio, and structure optimization parameters; the scattering adjustment instruction set includes illumination status, ambient brightness, and pupil response threshold; and the scattering array configuration result includes partitioned reflected light energy distribution, partitioned transmitted light energy distribution, and scattering array structure parameters.

3. The myopia control lens system with multi-zone differentiated regulation of heterogeneous scattering unit array according to claim 1, characterized in that, The light energy analysis module includes: The light intensity data submodule collects and synchronizes incident light intensity, reflected light intensity, and transmitted energy data of the central visual area, transition area, and peripheral control area, removes abnormal light intensity points, and then extracts the average light intensity and energy ratio according to the area division to generate multi-zone light intensity statistical results. The energy fitting submodule analyzes the spatial distribution gradient and energy density of light intensity in the multi-zone based on the statistical results of light intensity in the multi-zone, calculates the trend of light energy change in the zone, compares the difference in the trend of light energy change in the multi-zone and adjusts the energy fitting parameters to generate the light energy distribution characteristics of the zone. The scattering structure submodule calculates the energy scattering ratio of light energy in multiple zones in the spatial direction based on the characteristics of the zoned light energy distribution, filters key scattering paths according to the energy scattering ratio threshold, and further analyzes the energy correlation strength between paths to generate a scattering structure set.

4. The myopia control lens system with multi-zone differentiated regulation of heterogeneous scattering unit array according to claim 3, characterized in that, The energy scattering ratio threshold is calculated by taking into account the spatial distribution characteristics of light energy in multiple zones, and determined by comparing the median of the energy distribution differences between the multiple zones.

5. The myopia control lens system with multi-zone differentiated regulation of heterogeneous scattering unit array according to claim 1, characterized in that, The scattering optimization module includes: The reflectance calculation submodule extracts multi-zone reflected light intensity and incident light intensity data based on the scattering structure set, analyzes the light intensity ratio and corrects the reflected light intensity by combining the difference between the incident angle and the scattering angle, calculates the real-time reflectance based on the corrected ratio of reflected light intensity to incident light intensity and synchronizes it, and generates a set of zone reflectance values. The light energy difference submodule calls the partition reflectance value set, calculates the target light energy ratio by combining the light energy distribution characteristics of multiple partitions, analyzes the difference between the target light energy ratio and the real-time reflectance ratio and extracts the change gradient, and generates a light energy difference gradient set. The structural parameter submodule adjusts the scattering structure of the multi-zone according to the light energy difference gradient set, calculates the correlation coefficient between the difference gradient and the scattering direction vector, adjusts the scattering ratio and reflection direction distribution, and integrates to generate a zone scattering parameter set.

6. The myopia control lens system with multi-zone differentiated regulation of heterogeneous scattering unit array according to claim 1, characterized in that, The environment determination module includes: The environmental data submodule acquires the external environmental brightness signal and pupil opening response signal, filters and smooths the brightness signal, extracts the average light intensity and fluctuation range, calculates the pupil area change based on the pupil opening signal and pairs it with the brightness fluctuation range to generate a brightness response coupled dataset. The illumination judgment submodule calls the brightness response coupling dataset and the partition scattering parameter group, calculates the relative deviation between the mean brightness and the pupil area change rate, compares the sign and amplitude of the deviation between the ambient brightness and the preset pupil response threshold, classifies them, and generates the illumination state judgment result. The scattering adjustment submodule matches the scattering parameters of each partition with the illumination state determination result and the partition scattering parameter group, calculates the scattering intensity adjustment coefficient and the reflection angle distribution correction amount, integrates them, and generates a scattering adjustment instruction set.

7. The myopia control lens system with multi-zone differentiated regulation of heterogeneous scattering unit array according to claim 6, characterized in that, The pupil response threshold is set by collecting pupil opening change sequences of human eyes under at least three ambient brightness conditions, extracting the correspondence between the rate of change of brightness and the rate of change of pupil area, and analyzing the sum of the mean of the pupil area change corresponding to the rate of change of brightness and the standard deviation of a preset multiple.

8. The myopia control lens system with multi-zone differentiated regulation of heterogeneous scattering unit array according to claim 1, characterized in that, The array control module includes: The instruction parsing submodule performs displacement control and matching and decoding on the heterogeneous scattering unit array based on the scattering adjustment instruction set. It maps the displacement direction and amplitude data of the units in the array, extracts the independent control quantities of the central visual area, transition area and peripheral control area, and generates a displacement control parameter set. The light energy extraction submodule, based on the displacement control parameter set, adjusts the scattering angle and spacing of the heterogeneous scattering unit array in the multi-control area, collects the intensity of reflected and transmitted light signals in the central visual area, transition area and peripheral control area, calculates the light energy difference in the multi-zone and statistically analyzes the energy distribution trend to obtain the light energy distribution difference. The array structure submodule calls the light energy distribution difference to calculate the correspondence between the scattering angle, unit spacing and light energy difference in multiple partitions. Based on the energy change amplitude of multiple partitions in the light energy distribution difference value, it analyzes the combination of structural configuration parameters of the scattering array and generates the scattering array configuration result.

9. The myopia control lens system with multi-zone differentiated regulation of heterogeneous scattering unit array according to claim 1, characterized in that, The system also includes: The configuration optimization module further optimizes the energy distribution state between lens sections based on the scattering array configuration result, calculates the optical path difference and energy difference of the central, transition and peripheral three sections, adjusts the phase and density distribution of the multi-section scattering units, and generates the optimized scattering array configuration result. The optimized scattering array configuration results include optical path difference parameters, energy difference parameters, phase allocation parameters, and density allocation parameters.

10. The myopia control lens system with multi-zone differentiated regulation of heterogeneous scattering unit array according to claim 9, characterized in that, The configuration optimization module includes: The energy assessment submodule, based on the scattering array configuration results, acquires the optical path data and energy output of the central, transition, and peripheral zones, calculates the optical path difference and energy difference between the multiple zones, performs difference statistics and normalization processing on the ratio of optical path difference to energy difference, and generates the zone energy balance coefficient. The phase density submodule calls the partition energy balance coefficient, calculates the phase change rate and density correction amount in multiple partitions based on the phase parameters and density distribution parameters of the scattering units in the central, transition and peripheral partitions, performs phase and density correction for the energy difference offset, and obtains the partition phase density adjustment result. The array configuration submodule reconfigures the arrangement order and spacing parameters of the scattering units in the three zones based on the zone phase density adjustment results, calculates the optical path equalization value and energy output trend, selects parameter groups whose optical path equalization value reaches the preset energy distribution threshold, and generates the optimized scattering array configuration result.

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