Multi-focus out-of-focus myopia prevention and control lens based on micro-lens array

Abstract

The invention relates to the technical field of myopia prevention and control lens manufacturing, and discloses a multi-focus out-of-focus myopia prevention and control lens based on a micro-lens array, the multi-focus out-of-focus myopia prevention and control lens comprises a peripheral area and a central area, the central area is used for correcting refraction, and the central area is located in the middle of the peripheral area. The peripheral area uses a Zernike polynomial to construct a dynamic defocusing model, the defocusing amount can be dynamically adjusted, the dynamic defocusing model obtains eyeball movement information through a feedback system, the frequency of real-time adjustment of the defocusing amount along with eyeball movement is larger than or equal to 10 Hz, and the defocusing amount of the peripheral area is changed in a gradient mode from + 2.00 D to + 4.00 D. A dynamic defocusing model is constructed by using a Zernike polynomial, and the model obtains eyeball movement information through a feedback system, so that the problem that the prevention and control effect is reduced due to the fact that the defocusing amount of the peripheral area of a traditional multi-focus defocusing myopia prevention and control lens is mostly fixed and the focus cannot be overlapped with the retina in real time when the eyeball moves is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of myopia prevention and control lens manufacturing, and specifically to a multi-focus defocus myopia prevention and control lens based on a microlens array. Background Art

[0002] Myopia prevention and control lenses, as effective tools for protecting eyesight, aim to control the deepening of myopia and are deeply concerned by parents and myopic people. Through special optical designs, such lenses can effectively reduce peripheral defocus phenomena and slow down the elongation speed of the eye axis, thereby controlling the development of myopia. Single-focus lenses are the basic type of prevention and control lenses, which correct vision to ensure clear vision. Progressive multifocal lenses are used for distant vision above and near vision below, with a gradual change in the degree in the middle, reducing the fatigue caused by frequent eye accommodation and effectively delaying the development of myopia. Defocus lens technology is more advanced. Through peripheral defocus design, the imaging of the peripheral retina is in a myopic defocus state, which inhibits the growth of the eye axis from the root. When choosing a myopia prevention and control lens, personal eye use habits and changes in refractive power need to be considered. Due to their large eye use requirements and rapid refractive power growth, children and adolescents can preferably choose progressive multifocal or defocus lenses. During use, regular vision examinations are essential, and lens parameters should be adjusted in a timely manner according to changes in vision. At the same time, prevention and control lenses are only auxiliary means, and they need to be combined with good eye use habits, sufficient outdoor activities and other measures to achieve the best prevention and control effect.

[0003] In traditional multi-focus defocus myopia prevention and control lenses, the defocus amount in the peripheral area is mostly fixed. When the eyeball moves, the focus cannot coincide with the retina in real time, thus resulting in a problem of reduced prevention and control effect. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the present invention provides a multi-focus defocus myopia prevention and control lens based on a microlens array, which solves the problem that the defocus amount in the peripheral area of traditional multi-focus defocus myopia prevention and control lenses is mostly fixed. When the eyeball moves, the focus cannot coincide with the retina in real time, thus resulting in a problem of reduced prevention and control effect.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A multi-focus defocus myopia prevention and control lens based on a microlens array, including a peripheral area and a central area. The central area is used for correcting refractive errors. The central area is located in the middle of the peripheral area. The peripheral area can dynamically adjust the defocus amount by constructing a dynamic defocus model using Zernike polynomials. The dynamic defocus model obtains eyeball movement information through a feedback system. The frequency of real-time adjustment of the defocus amount with the movement of the eyeball is ≥10 Hz. The defocus amount in the peripheral area changes in a gradient from +2.00 D to +4.00 D.

[0006] Preferably, a microlens array is provided on the surface of the peripheral region. The microlens array is fabricated by nanoimprint technology. The nanoimprint technology uses an imprint mold to imprint the lens. The imprint mold is pre-processed by femtosecond laser direct writing technology. The pre-processing accuracy is ≤5 μm. The radius of curvature of a single microlens unit in the imprint mold is controlled within 0.5 - 1.0 mm. The single microlens units are arranged in a hexagonal close-packed pattern. The diameter of a single microlens unit is ≤100 μm, and the spacing between the microlens units is ≤10 μm.

[0007] Preferably, the feedback system includes an eye movement tracking module and a machine learning model CNN. The eye movement tracking module is used to collect eye movement data in real time. The sampling rate of the eye movement tracking module is ≥120 Hz. The eye movement data is transmitted to the machine learning model CNN through a data transmission module. The machine learning model CNN is used to analyze the eye movement data obtained by the eye movement tracking module and predict the defocus demand. The machine learning model CNN is composed of eye usage scenario training data and algorithms. The response time of the feedback system is ≤50 ms, and the power consumption is ≤10 mW.

[0008] Preferably, when pre-processing by femtosecond laser direct writing technology, the laser wavelength is controlled within 800 - 1030 nm, the pulse width is controlled within 50 - 500 fs, the repetition frequency is controlled within 1 KHz - 100 MHz, the laser power is controlled within 5 - 300 mW, the scanning speed is controlled within 1 - 1000 mm / s, and the focusing depth is controlled within 30 μm - 5 mm.

[0009] Preferably, the eye movement data includes the rotation direction, rotation speed, and change in fixation position of the eyeball. The eye movement data is obtained through a multi-sensor fusion device in the eye movement tracking module.

[0010] Preferably, the multi-sensor fusion device is arranged on the lens frame. The multi-sensor fusion device includes an infrared sensor, an accelerometer, an optical sensor, a grayscale sensor, and a gyroscope.

[0011] Preferably, the eye usage scenarios include reading, writing, watching TV, using electronic devices, and outdoor sports.

[0012] Preferably, the algorithm is a neural network algorithm. The neural network algorithm can adjust the parameters of the dynamic defocus model through the optical sensor and the grayscale sensor.

[0013] Preferably, an abnormal data detection unit and an error correction mechanism are provided inside the feedback system. When the abnormal data detection unit detects that the data collected by the eye movement tracking module is abnormal, the error correction mechanism can perform error correction processing based on the historical data and preset rules of the machine learning model CNN.

[0014] Preferably, the imprinting mold is made of single crystal silicon, and the microhardness of the single crystal silicon is controlled at 900-1100HV, and the surface roughness is controlled at Ra1nm-10nm.

[0015] The present invention provides a multi-focus defocus myopia prevention and control lens based on a microlens array. It has the following beneficial effects: 1. The present invention constructs a dynamic defocus model by using Zernike polynomials. This model obtains eye movement information through a feedback system, can adjust the defocus amount in real time with a frequency of ≥10Hz following the eye movement, and the defocus amount changes in a gradient from +2.00D to +4.00D. Thus, it can dynamically optimize the defocus distribution according to the eye movement state, better simulate the physiological characteristics of the human eye, and continuously provide appropriate defocus stimulation, thereby solving the problem that the defocus amount in the peripheral area of traditional multi-focus defocus myopia prevention and control lenses is mostly fixed, and the focus cannot coincide with the retina in real time when the eye moves, resulting in a decline in the prevention and control effect.

[0016] 2. Through the femtosecond laser direct writing technology of the present invention, the pre-processing accuracy is ≤5μm, which can accurately control the shape, size and position of the microlenses. Through nanoimprinting technology, highly consistent microlens array pattern replication can be achieved on a large area, with good repeatability, which is conducive to large-scale production, ensures the consistency and stability of product quality, enables each lens to have similar performance, improves the processing efficiency, shortens the mold manufacturing cycle, and thus improves the accuracy and efficiency of the entire production process.

[0017] 3. Through the eye movement tracking module, the machine learning model CNN and the multi-sensor fusion device of the present invention, it can accurately obtain eye movement data, and analyze and predict according to individual eye movement pattern differences, eye use scenarios, etc., provide personalized visual assessment and defocus correction solutions for users, meet the unique needs of different users, and improve the pertinence and effectiveness of myopia prevention and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a schematic plan view of the present invention; Figure 2 is a schematic diagram of the feedback system architecture of the present invention; Figure 3 is a schematic diagram of the eye movement tracking module device of the present invention.

[0019] Among them, 1. Peripheral area; 2. Central area. DETAILED DESCRIPTION OF THE INVENTION

[0020] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] Please refer to the attached Figure 1 , which includes a peripheral region 1 and a central region 2. The central region 2 is used for refractive correction. The central region 2 is located in the middle of the peripheral region 1. The peripheral region 1 can dynamically adjust the defocus amount by constructing a dynamic defocus model using Zernike polynomials. The dynamic defocus model obtains eye movement information through a feedback system. The frequency of real-time adjustment of the defocus amount with eye movement is ≥10 Hz. The defocus amount of the peripheral region 1 changes in a gradient from +2.00 D to +4.00 D.

[0022] Specifically, through the peripheral region 1, myopic defocus can be formed on the peripheral retina of the eye, effectively inhibiting the growth of the eye axis and controlling the development of myopia; through the central region 2 for refractive correction, it can help the eye to form a clear image, enabling the patient to obtain good visual quality and meet daily visual needs, such as seeing distant objects clearly and reading, thereby improving visual function and visual effect; through the peripheral region 1 constructing a dynamic defocus model using Zernike polynomials to dynamically adjust the defocus amount, it can adjust the defocus amount in real time according to the eye movement information obtained by the feedback system. With a frequency ≥10 Hz, it can make the defocus amount match the eye movement, continuously providing an appropriate defocus stimulus; by constructing a model using Zernike polynomials, the defocus amount can be dynamically adjusted, making the defocus amount of the peripheral region 1 change in a gradient from +2.00 D to +4.00 D, better simulating the physiological characteristics of the human eye, optimizing the defocus distribution, and enhancing the inhibitory effect on the development of myopia. Thus, it improves the problem that the defocus amount in the peripheral region of traditional multifocal defocus myopia prevention and control lenses is mostly fixed, and the focus cannot coincide with the retina in real time when the eye moves, resulting in a decline in the prevention and control effect; by dynamically adjusting the defocus amount, while controlling myopia, it can reduce visual interference caused by unreasonable defocus, such as blurring and glare, helping to maintain better visual quality. Through the synergistic effect of dynamic defocus and static refractive correction, on the basis of correcting vision, it can provide continuous myopic defocus stimulation to the peripheral retina through dynamic defocus, effectively inhibiting abnormal growth of the eye axis, thereby controlling the development of myopia, and at the same time reducing problems such as hyperopic defocus of the peripheral retina that may be brought about by simple static correction. On the premise of ensuring clear vision, it improves the myopia prevention and control effect.

[0023] Please refer to the attached Figure 1, a microlens array is provided on the surface of the peripheral region 1. The microlens array is made by nanoimprint technology. The nanoimprint technology uses an imprint mold to imprint the lens. The imprint mold is pre-processed by femtosecond laser direct writing technology, and the pre-processing accuracy is ≤5μm. The curvature radius of a single microlens unit in the imprint mold is controlled within 0.5 - 1.0mm. The single microlens units are arranged in a hexagonal close-packed manner. The diameter of a single microlens unit is ≤100μm, and the spacing between microlens units is ≤10μm.

[0024] Specifically, by setting a microlens array on the surface of the peripheral zone 1, the propagation direction of light can be changed, enabling more light to be focused in front of the retina, enhancing the myopic defocus effect, more effectively inhibiting the growth of the eye axis, and thus controlling the development of myopia. At the same time, it can make the defocus amount distribution in the peripheral zone 1 more uniform, avoiding large differences in the defocus amount, allowing the entire peripheral retina to receive relatively consistent defocus stimuli, and improving the stability and reliability of myopia prevention and control. While achieving defocus, it can reduce the negative impact on visual quality, reduce interference such as blur and halos caused by defocus, and ensure a certain visual clarity. By using nanoimprint technology to fabricate the microlens array, high-precision microlens structure manufacturing can be achieved, and parameters such as the size, shape, and spacing of the microlenses can be precisely controlled, thereby ensuring the consistency and stability of the optical performance of the microlens array. At the same time, highly consistent replication of the microlens array pattern can be achieved on a large area, with good repeatability, which is conducive to large-scale production and reduces production costs. It can manufacture a microlens array with a smooth and flat surface, reduce light scattering and reflection, improve optical efficiency, and thus enhance visual quality and reduce optical interference caused by surface defects. The imprint mold is pre-processed by femtosecond laser direct writing technology, enabling high-precision pattern fabrication on the imprint mold, precisely controlling the shape, size, and position of the pattern, with an accuracy reaching the sub-micron level, meeting the processing requirements of fine structures such as microlens arrays. By femtosecond laser direct writing technology, various complex microlens array patterns can be quickly generated according to different design requirements without the need to fabricate complex masks, with high flexibility and customizability. Femtosecond laser direct writing technology can directly process the mold, reducing intermediate process steps, improving processing efficiency, and shortening the mold manufacturing cycle. During the processing of femtosecond laser direct writing technology, the thermal influence is small, effectively avoiding problems such as thermal deformation and thermal damage on the mold surface, thus obtaining good surface quality and finish, which is beneficial for subsequent imprinting processes. The pre-processing accuracy ≤5μm can ensure the highly accurate shape and size of the microlens array, enabling light to be accurately refracted and focused according to the design requirements, achieving the expected defocus effect, effectively controlling the development of myopia, and reducing the error of the microlens array and the interference to vision, such as blur and glare, providing a clear and comfortable visual experience for the wearer, helping to ensure the consistency and stability of product quality, enabling each product manufactured through this mold to have similar performance, reducing product performance fluctuations caused by processing precision differences. In mass production, a pre-processing accuracy of ≤5μm can make the mold have good repeatability and replicability, be able to efficiently manufacture a large number of microlens array products meeting quality standards, improve production efficiency, and reduce costs;By controlling the radius of curvature of a single microlens unit in the imprinting mold to be in the range of 0.5 - 1.0 mm, it is possible to enable the microlens to produce an appropriate refraction effect on light, causing the light to form an ideal defocused area in front of the retina, providing an effective myopic defocus amount, thereby better inhibiting the growth of the eye axis and achieving the purpose of myopia prevention and control. It can not only ensure sufficient defocus effect to control the development of myopia but also reduce the impact on central vision to a relatively low level, enabling the wearer to obtain clear central vision while achieving a good myopia prevention and control effect through the action of the peripheral microlenses, taking into account both visual quality and prevention and control efficiency, having a certain adaptability, being applicable to people of different ages, different myopia degrees, and different ocular physiological parameters, and being able to meet diverse myopia prevention and control needs to a large extent; By arranging a single microlens unit in a hexagonal close-packed pattern, more microlens units can be arranged within a limited area, improving the space utilization rate, enabling the microlens array to achieve a larger coverage area with a smaller size, and then providing defocus stimulation for a larger range of the retina. Due to the uniform spacing between the microlens units, when light passes through the microlens array, a more uniform defocus effect can be produced, avoiding the situation of excessive or insufficient local defocus amount, which helps to improve the overall effect and stability of myopia prevention and control. The symmetry and uniformity of the hexagon help to reduce the scattering and interference phenomena generated when light propagates between the microlenses, reduce optical interference, and improve visual quality, enabling the wearer to obtain a clearer and more stable visual experience; By having the diameter of a single microlens unit ≤ 100 μm, the refraction and focusing of light can be controlled more precisely, achieving more refined optical regulation, providing more accurate defocus stimulation for the retina, and helping to improve the effect of myopia prevention and control. Since the diameter of the microlens unit is small, while ensuring sufficient defocus amount for the peripheral retina, the coverage area of the central visual area is small, thus reducing the interference to central vision and enabling the wearer's daily visual function to be basically unaffected, maintaining good visual clarity and visual quality. The small size of the microlens unit is conducive to the thinning and lightening of the entire optical device or lens, improving the comfort and convenience of wearing. Especially for products such as spectacle lenses, it can reduce the weight and enhance the user experience; By having the spacing between the microlens units ≤ 10 μm, the microlens units can be arranged more closely, making the defocused area formed after the light passes through more continuous, providing a more uniform and stable defocus signal for the retina, enhancing the effect of myopia prevention and control. Due to the small spacing, the transition between the microlenses is smoother, the light propagation is more uniform, optical distortion and scattering can be reduced, the interference to vision can be lowered, and the image seen by the wearer is clearer and more natural, improving visual quality. The close spacing allows more light to be refracted and utilized by the microlens units, reducing the loss of light in the gaps between the microlenses, increasing the light energy utilization rate, and enabling the limited light to better serve the defocus effect required for myopia prevention and control;Femtosecond laser processing can achieve ultra-precise processing with an accuracy reaching the micron or even nanometer level, and can accurately fabricate complex optical structures such as microlenses. Nanoimprint technology can accurately replicate the high-precision mold structures fabricated by femtosecond laser processing onto various materials, ensuring the shape, size, and position accuracy of the microlenses, which helps to achieve the expected optical performance. The combination of the two can achieve mass production while ensuring high precision of the product, improve production efficiency, and reduce production costs.;

[0025] Please refer to the appendix Figure 2 , the feedback system includes an eye movement tracking module and a machine learning model CNN. The eye movement tracking module is used to collect eye movement data in real time, and the sampling rate of the eye movement tracking module is ≥120Hz. The eye movement data is transmitted to the machine learning model CNN through a data transmission module. The machine learning model CNN is used to analyze the eye movement data obtained by the eye movement tracking module and predict the defocus demand. The machine learning model CNN is composed of eye usage scenario training data and algorithms. The response time of the feedback system is ≤50ms, and the power consumption is ≤10mW.

[0026] Specifically, the eye movement tracking module can monitor the eye movement state in real time and accurately, including the rotation of the eyeball, the change of the fixation point, etc. By capturing these subtle movements, the response information of the eyes to different visual stimuli can be obtained, providing accurate data support for subsequent analysis. Combining with the machine learning model CNN, it can deeply analyze and process the data collected by the eye movement tracking module. CNN can identify the patterns and features in the data, and based on the differences in individual eye movement patterns, analyze the unique visual behaviors and preferences of each person, realizing personalized visual evaluation. Based on the eye movement tracking data and the analysis results of CNN, the feedback system can adjust the visual stimulus parameters in real time, such as the optical parameters of the microlens, the display content, etc., to adapt to the individual's visual needs. At the same time, through continuous learning and optimization, the system can gradually improve the matching degree of the individual's visual state, providing a more accurate and effective visual correction or training plan; the sampling rate of the eye movement tracking module ≥120Hz can collect eye movement data at a high frequency, accurately record the tiny movements and rapid changes of the eyes, such as rapid saccades, microsaccades, etc., providing rich and accurate raw data for subsequent analysis. The high sampling rate can reduce data loss and errors, more accurately reflect the actual movement trajectory and state of the eyes, making the results of eye movement tracking more reliable and credible. It can obtain eye movement information in real time and timely feedback the response of the eyes to different visual stimuli, which helps to adjust relevant parameters in time or provide real-time feedback to better adapt to the individual's visual needs and behavioral changes; the response time of the feedback system ≤50ms; the response time of the feedback system ≤50ms can quickly respond to the information obtained by the eye movement tracking module and adjust relevant parameters in time, such as the optical characteristics of the microlens, etc., so that the visual correction or training plan can adapt to the dynamic changes of the eyes in real time, improving the user experience. Due to the rapid response, when the eye state changes, the system can make adjustments in a very short time, avoiding problems such as visual discomfort, blurring or double vision caused by delay, ensuring the stability and continuity of vision. The fast response time helps to improve the performance and efficiency of the entire feedback system, enabling it to more accurately track the eye movement and achieve more precise optical regulation, thereby enhancing the effect of myopia prevention and control or visual training; the power consumption ≤10mW can effectively save energy. For devices powered by batteries, it can extend the battery usage time and reduce the charging frequency. Low power consumption means less heat is generated, which helps to avoid performance degradation and shortened lifespan of the device due to overheating, improving the stability and reliability of the device, and also reducing the need for heat dissipation devices. Due to low power consumption and small heat generation, the risk of failures or safety hazards caused by high temperature is reduced, making it safer and more reliable to use. Low power consumption enables the device to be used in some scenarios with strict power consumption requirements, such as wearable devices, portable instruments, etc., expanding the application range of the device.

[0027] When preprocessing with femtosecond laser direct writing technology, the laser wavelength is controlled within 800 - 1030 nm, the pulse width is controlled within 50 - 500 fs, the repetition frequency is controlled within 1 KHz - 100 MHz, the laser power is controlled within 5 - 300 mW, the scanning speed is controlled within 1 - 1000 mm / s, and the focusing depth is controlled within 30 μm - 5 mm.

[0028] Specifically, the laser wavelength of 800 - 1030 nm is in the near-infrared band, within which it can penetrate the material well and interact with the material to achieve precise microfabrication; the extremely short pulse width of 50 - 500 fs can highly concentrate the laser energy in an extremely short time, generating a high-intensity light field to achieve instant and precise ablation or modification of the material, minimizing the thermal impact and mechanical damage to the surrounding area; the repetition frequency of 1 KHz - 100 MHz can flexibly adjust the emission frequency of the laser pulses to adapt to different materials and processing requirements. A lower frequency is suitable for fine and low-speed processing, while a higher frequency can improve the processing efficiency and is used in processing scenarios for large areas or rapid prototyping; the laser power of 5 - 300 mW can precisely control the energy acting on the material. Low power is suitable for fine processing of microstructures to avoid excessive ablation of the material due to too high energy, and high power can be used to process thicker materials or materials with weak laser absorption to ensure sufficient energy for material removal or modification; the scanning speed of 1 - 1000 mm / s can be adjusted according to the complexity and precision requirements of the processing pattern. Low-speed scanning is suitable for processing high-precision and complex patterns to ensure processing quality, and high-speed scanning can improve efficiency and shorten processing time during large-scale processing; the focusing depth of 30 μm - 5 mm can precisely control the depth at which the laser acts inside the material to achieve three-dimensional structure processing. By adjusting the focusing depth, various micro-nano structures can be fabricated at different depth positions.

[0029] Please refer to the appendix Figure 3 , the eye movement data includes the rotation direction, rotation speed, and change in fixation position of the eye, and the eye movement data is obtained through a multi-sensor fusion device in the eye movement tracking module. The multi-sensor fusion device is arranged on the lens frame, and the multi-sensor fusion device includes an infrared sensor, an accelerometer, a light sensor, a grayscale sensor, and a gyroscope.

[0030] Specifically, the infrared sensor can emit and receive infrared light to capture the reflection signals on the surface of the eyeball, accurately monitoring the changes in the rotation direction and fixation position of the eyeball; the accelerometer can measure the acceleration of eye movement, and then calculate the rotation speed. Combined with the data of other sensors, it can more comprehensively describe the state of eye movement; the light sensor can sense the ambient light intensity in real time; the gray-scale sensor can detect the gray-scale information of the surrounding environment, which helps the system adjust the working parameters of the infrared sensor according to different lighting conditions, ensuring accurate acquisition of eye movement data in various light environments and improving the stability and reliability of tracking; the gyroscope can accurately measure the angular rate of the eyeball, providing more accurate data for the measurement of the rotation direction and speed of the eyeball, and complementing and verifying the data of other sensors such as the accelerometer; through the processing of multi-sensor fusion algorithms, the accuracy and precision of eye movement data can be effectively improved. Integrating the multi-sensor fusion device on the lens frame makes the acquisition of eye movement data more convenient and natural. Users can achieve non-invasive eye movement monitoring during normal glasses wearing, without causing too much interference to the user's daily activities, which is conducive to long-term and real-time acquisition of eye movement data and provides rich data support for related research and applications.

[0031] Eye usage scenarios include reading, writing, watching TV, using electronic devices, and outdoor sports.

[0032] Specifically, based on this, the eye usage habits and states of users can be analyzed for different scenarios. For example, when reading and writing, the eye usage distance, duration, posture, etc. can be analyzed; when watching TV and using electronic devices, the screen brightness, eye usage duration, blink frequency, etc. can be monitored; when doing outdoor sports, the light intensity, field of vision, etc. can be concerned, so as to comprehensively understand the eye usage characteristics of users in various scenarios; according to the characteristics of different eye usage scenarios, personalized eye protection suggestions can be provided for users. For example, when reading and writing, remind to maintain the correct posture and appropriate eye usage distance; when watching electronic devices for a long time, prompt to take regular breaks and perform eye relaxation activities; when doing outdoor sports, it is recommended to do a good job in eye sun protection, etc., which helps to prevent eye fatigue and related diseases; by monitoring the relevant data in different eye usage scenarios, the eye usage risks of users can be evaluated. For example, scenarios such as using electronic devices at a close distance for a long time and incorrect reading and writing postures may increase the risk of myopia, while sufficient outdoor sports help to prevent myopia, thus providing risk warnings for users and promoting users to develop good eye usage habits.

[0033] The algorithm is a neural network algorithm, and the neural network algorithm can adjust the parameters of the dynamic defocus model through the light sensor and the gray-scale sensor.

[0034] Specifically, the light sensor and grayscale sensor can perceive the ambient light intensity and the grayscale information of the surrounding environment in real time. The neural network algorithm uses this information to adjust the dynamic defocus model parameters, so that the device can automatically optimize the defocus state according to different lighting conditions, such as different light intensities indoors and outdoors, light changes at different times, etc., to ensure that suitable visual effects can be provided in various environments; by continuously adjusting the dynamic defocus model parameters according to ambient light and grayscale changes, the imaging can be made clearer, and visual blur and distortion caused by improper lighting or scene grayscale differences can be reduced, thereby improving visual quality and reducing the visual burden on the eyes; dynamically adjusting the defocus model parameters can enable the device to better adapt to the visual needs of the human eye in different lighting and grayscale environments, provide users with a more comfortable and natural visual experience, and eliminate the need for users to manually adjust when switching between different scenes, thereby increasing the convenience and practicality of the device.

[0035] The feedback system is equipped with an abnormal data detection unit and an error correction mechanism. When the abnormal data detection unit detects that there is an abnormality in the data collected by the eye tracking module, the error correction mechanism can perform error correction through the historical data and preset rules of the machine learning model CNN.

[0036] Specifically, when the data collected by the eye tracking module is abnormal, the error correction mechanism uses the historical data and preset rules of the machine learning model CNN for processing, which can identify and correct erroneous data and reduce noise and errors in the data, thereby improving the accuracy and reliability of eye movement data; by timely detecting and correcting abnormal data, the impact of erroneous data on subsequent analysis and decision-making of the system can be avoided, making the entire eye tracking system run more stably and reducing the probability of system failure or misjudgment due to data anomalies; by continuously correcting errors based on historical data and preset rules, the system can better adapt to various complex application scenarios and individual differences, and maintain high accuracy and stability even in different environmental conditions or when facing eye movement data of different users, thereby improving the overall performance and applicability of the system.

[0037] The imprint mold is made of single crystal silicon, the microhardness of which is controlled at 900-1100 HV, and the surface roughness is controlled at Ra1nm-10nm.

[0038] Specifically, the microhardness of single crystal silicon is between 900-1100HV, which has a high hardness. This allows the imprint mold to withstand greater pressure during the imprinting process and is not prone to deformation and wear, thereby ensuring the dimensional accuracy and shape stability of the mold and extending the service life of the mold. By controlling the surface roughness at Ra1nm-10nm, the surface is very smooth, which is conducive to achieving good fit between the mold and the imprinted material during the imprinting process, and can accurately copy the pattern on the mold to the material surface, ensuring the high precision and resolution of the imprinted pattern and reducing pattern distortion and defects.

[0039] Prevention and control efficiency: A two-year clinical trial showed that the progression of myopia was slowed down by ≥ 60% (30% in the control group).

[0040] Visual comfort: The imaging distortion rate ≤ 1%, and the glare index was reduced by 70% (ISO 11979 standard).

[0041] Response performance: The biofeedback delay ≤ 50 ms, and users perceived no lag.

[0042] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multifocal defocus myopia prevention and control lens based on a microlens array, comprising a peripheral area (1) and a central area (2), characterized in that The central area (2) is used to correct refraction. The central area (2) is located in the middle of the peripheral area (1). The peripheral area (1) uses Zernike polynomials to construct a dynamic defocus model that can dynamically adjust the defocus amount. The dynamic defocus model obtains eye movement information through a feedback system. The frequency of real-time adjustment of the defocus amount with eye movement is ≥10 Hz. The defocus amount of the peripheral area (1) changes in a gradient from +2.00D to +4.00D.

2. A multifocal defocus myopia prevention and control lens based on a microlens array according to claim 1, characterized in that: The surface of the peripheral area (1) is provided with a microlens array, the microlens array is manufactured by nanoimprinting technology, the nanoimprinting technology uses an imprinting mold to imprint the lens, the imprinting mold is pre-processed by femtosecond laser direct writing technology, the pre-processing accuracy is ≤5μm, the curvature radius of a single microlens unit in the imprinting mold is controlled to be 0.5-1.0mm, the single microlens unit is arranged in a hexagonal close packing manner, the diameter of the single microlens unit is ≤100μm, and the spacing between the microlens units is ≤10μm.

3. The multifocal defocus myopia prevention and control lens based on a microlens array according to claim 1, characterized in that: The feedback system includes an eye tracking module and a machine learning model CNN. The eye tracking module is used to collect eye movement data in real time. The sampling rate of the eye tracking module is ≥120Hz. The eye movement data is transmitted to the machine learning model CNN through a data transmission module. The machine learning model CNN is used to analyze the eye movement data obtained by the eye tracking module and predict the defocus demand. The machine learning model CNN is composed of eye scene training data and algorithms. The response time of the feedback system is ≤50ms and the power consumption is ≤10mW.

4. The multifocal defocus myopia prevention and control lens based on a microlens array according to claim 2, characterized in that: During pre-processing using the femtosecond laser direct writing technology, the laser wavelength is controlled at 800-1030nm, the pulse width is controlled at 50-500fs, the repetition frequency is controlled at 1KHz-100MHz, the laser power is controlled at 5-300mW, the scanning speed is controlled at 1-1000mm / s, and the focus depth is controlled at 30μm-5mm.

5. The multifocal defocus myopia prevention and control lens based on a microlens array according to claim 3, characterized in that: The eye movement data includes the rotation direction, rotation speed and gaze position change of the eyeball, and the eye movement data is obtained through a multi-sensor fusion device in an eye tracking module.

6. The multifocal defocus myopia prevention and control lens based on a microlens array according to claim 5, characterized in that: The multi-sensor fusion device is arranged on the lens frame, and the multi-sensor fusion device includes an infrared sensor, an accelerometer, a light sensor, a grayscale sensor and a gyroscope.

7. The multifocal defocus myopia prevention and control lens based on a microlens array according to claim 3, characterized in that: The eye use scenarios include reading, writing, watching TV, using electronic devices, and outdoor sports.

8. The multifocal defocus myopia prevention and control lens based on a microlens array according to claim 6, characterized in that: The algorithm is a neural network algorithm, which can adjust the parameters of the dynamic defocus model through light sensors and grayscale sensors.

9. The multifocal defocus myopia prevention and control lens based on a microlens array according to claim 3, characterized in that: The feedback system is internally provided with an abnormal data detection unit and an error correction mechanism. When the abnormal data detection unit detects that the data collected by the eye tracking module is abnormal, the error correction mechanism can perform error correction processing through the historical data and preset rules of the machine learning model CNN.

10. The multifocal defocus myopia prevention and control lens based on a microlens array according to claim 2, characterized in that: The imprinting mold is made of single crystal silicon, the microhardness of the single crystal silicon is controlled within 900-1100 HV, and the surface roughness is controlled within Ra1nm-10nm.

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