Dynamic self-adaptive out-of-focus lens

Abstract

The invention relates to the field of self-adaptive out-of-focus lenses, and discloses a dynamic self-adaptive out-of-focus lens which comprises a lens frame, hinges are arranged on the two sides of the lens frame, lens legs are arranged at one ends of the two hinges, and two symmetrically-distributed lens bodies are fixedly installed in the lens frame; the lens main body comprises an electrochromic protective layer, a piezoelectric film deformation layer, a microfluidic defocusing layer, a liquid crystal dimming layer and a self-cleaning substrate layer, and can automatically adjust a focus according to eyeball movement and sight change of a wearer, and provide clear vision in a full-view range; according to the out-of-focus lens, the dynamic self-adaption function ensures that a wearer can obtain the optimal visual definition at any sight angle, the wearing comfort and convenience are improved, the out-of-focus lens can prevent and control shortsightedness, meanwhile, better visual experience can be brought to the wearer, and then the user can use the out-of-focus lens conveniently.

Description

Technical Field

[0001] The present invention relates to the field of dynamic adaptive defocus lenses, and specifically to a dynamic adaptive defocus lens. Background Art

[0002] Glasses lenses, as the core component of glasses, are usually made of materials with high light transmittance, and the surface can be treated with multiple coatings to improve their optical performance. Modern glasses lenses not only have the basic functions of correcting vision and protecting the eyes, but also can be added with special functions such as anti-blue light, anti-fatigue, and color-changing. At the same time, through advanced technologies such as nano-hydrophobic coatings, the lenses can effectively prevent water and dirt, maintain a clear vision, and provide a more comfortable and convenient visual experience for the wearer.

[0003] Publication No. (CN118534675A) discloses a defocus lens and defocus glasses. Among them, the defocus lens includes a microstructure defocus area and an optical correction area, and the microstructure defocus area and the optical correction area are alternately arranged; the optical correction area is provided with a correction band, the correction band includes a first side and a second side arranged at intervals, both the first side and the second side extend along a first direction, the correction band passes through the optical center of the defocus lens, and the optical correction area covers the correction band; wherein, the distance between the two sides of the optical correction area is W1, and 6.00 mm ≤ W1 ≤ 11.00 mm. In the technical solution of the present invention, it is aimed to make the visual axis still able to align with the optical correction area of the lens when the glasses move up and down and the eyeball rotates up and down through the optical correction area that extends and passes through the optical center, without being interfered by the microstructure defocus area.

[0004] In actual use, the above-mentioned disclosed patent does not have a dynamic adaptive function, which means that it cannot automatically adjust the focus according to the eye movement or line-of-sight change of the wearer, and may cause discomfort such as blurred vision or glare for the wearer at certain line-of-sight angles, affecting the visual experience. Especially when the eyeball rotates or the head deflects, due to the fixed focus position, the defocus lens may not provide the best visual clarity, limiting its flexibility and comfort in actual use and being unfavorable for users. Therefore, we propose a dynamic adaptive defocus lens. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides a dynamic adaptive defocus lens to solve the above problems.

[0006] To achieve the above object, the present invention provides a dynamic adaptive defocusing lens, including a frame. Hinges are provided on both sides of the frame. One ends of the two hinges are provided with temple arms. Two symmetrically distributed nose pads are fixedly installed on one side of the frame. Two symmetrically distributed lens bodies are fixedly installed inside the frame. Installation grooves are formed inside the two temple arms. Piezoelectric micropump groups are fixedly installed inside the two installation grooves. Output ends of the two piezoelectric micropump groups are communicated with connecting conduits. The lens body includes an electrochromic protection layer, a piezoelectric film deformation layer, a microfluidic defocusing layer, a liquid crystal dimming layer, and a self-cleaning base layer. The electrochromic protection layer, the piezoelectric film deformation layer, the microfluidic defocusing layer, the liquid crystal dimming layer, and the self-cleaning base layer are bonded by nano materials.

[0007] In this technical solution, the lens can collect real-time user visual behavior data through a CMOS sensor, a millimeter wave radar, and an electromyographic sensor. After being fused and processed by an edge computing chip, a three-dimensional visual model including fixation point coordinates, target distance, and pupil state is constructed. A machine learning engine (LSTM + reinforcement learning) analyzes the eye use scenario and historical habits to generate dynamic regulation instructions. In the actuator, the piezoelectric micropump group drives the non-Newtonian fluid to flow directionally in the fractal microchannel, and cooperates with the coordinated deformation of multiple units of the piezoelectric film deformation layer to form a local defocusing area. The liquid crystal dimming layer tunes the refractive index through an electric field to achieve optical path compensation. The three cooperate to achieve dynamic adjustment of the defocus amount, forming a "perception - decision - execution - feedback" closed loop to meet the all-weather wearing requirements.

[0008] This dynamic adaptive defocusing lens has multi-dimensional technical advantages. The biofeedback drive mechanism can achieve millisecond-level dynamic adjustment of the defocus amount, accurately matching the eye movement trajectory and eye use scenarios (reading / movement / e-screen, etc.); through the ultra-thin composite structure and bionic fractal microchannel design, while maintaining the light transmittance and wearing comfort of conventional lenses, the lens is given excellent reliability such as impact resistance and self-repair; combined with multi-modal sensing fusion and machine learning algorithms, personalized visual correction is achieved. Its self-cleaning base layer and mass-produced MEMS process further reduce the maintenance cost, thus facilitating user use.

[0009] Preferably, the electrochromic protection layer is made of a nano-hydrophobic coating, and its surface has a micro-protrusion structure.

[0010] In this technical solution, by setting the nano-hydrophobic coating, the waterproof performance of the lens can be effectively improved. The principle is that the nano-coating utilizes the macroscopic quantum tube effect of nano materials to significantly improve the hydrophobic performance of the coating, making water droplets form beads on the lens surface and roll off quickly, keeping the lens clear. At the same time, the nano-coating can also enhance the wear resistance and anti-fouling property of the lens.

[0011] Preferably, a plurality of hexagonal control units are provided inside the microfluidic defocusing layer, and the plurality of hexagonal control units are in a honeycomb structure. A silver nanowire conductive grid is provided inside the microfluidic defocusing layer.

[0012] In this technical solution, the piezoelectric micropump group receives a PWM control signal to drive the non-Newtonian fluid to flow in the fractal microchannel.

[0013] Preferably, a main defocusing cavity is provided inside the liquid crystal dimming layer, the main defocusing cavity is filled with a non-Newtonian fluid, the main defocusing cavity is connected to the connecting conduit, a branch microchannel is provided inside the liquid crystal dimming layer, and a plurality of array-distributed pressure sensors are provided inside the liquid crystal dimming layer.

[0014] Preferably, the interior of the self-cleaning base layer is a bionic micron-scale pyramid structure.

[0015] In this technical solution, the self-cleaning base layer utilizes a biomimetic micron-scale pyramid structure, based on the lotus effect: the microscopically rough surface creates a contact angle of over 160° for water droplets, forming a Cassie-Baxter hydrophobic state. As the droplets roll off, surface tension removes pollutants. Combined with a photocatalytic nanocoating (such as TiO2), this structure effectively inhibits bacterial attachment, combining exceptional hydrophobicity with high light transmittance and wear resistance. It seamlessly connects to the upper liquid crystal dimming layer through a biomimetic interlocking structure, enabling efficient wafer-level manufacturing through nanoimprinting technology.

[0016] Preferably, two symmetrically distributed infrared LEDs are fixedly mounted on one side of the lens frame, and two symmetrically distributed CMOS sensors are fixedly mounted on one side of the lens frame.

[0017] In this technical solution, infrared LEDs and CMOS sensors are set up to capture eye movement trajectories at a Hz sampling rate and locate the coordinates of the user's gaze point in real time.

[0018] Preferably, two radars are fixedly installed on one side of the frame, both of which are millimeter-level and are bilaterally symmetrical dual-antenna arrays, and one side of each of the two nose pads is equipped with an electromyographic sensor, and both of the electromyographic sensors are made of flexible electrode patches.

[0019] In this technical solution, millimeter-wave radar (GHz frequency band) measures the distance between the user and the observed target (.-m range, cm resolution), combined with pupil diameter change data (dynamically adjusts the sampling rate -Hz) to build a three-dimensional visual space model. The electromyography sensor monitors the microcurrent signals (μV level) of the muscles around the eyes to predict adjustment needs (such as impending saccadic movements).

[0020] Preferably, flexible batteries are fixedly installed on the outsides of both temple pieces, and an edge computing chip is fixedly installed on one side of one of the temple pieces.

[0021] In this technical solution, the flexible battery can provide power for the edge computing chip, and the edge computing chip uses an attention mechanism neural network to perform weighted fusion on multi-source heterogeneous data.

[0022] Preferably, the edge computing chip is electrically connected to an electromyogram sensor, a radar, an infrared LED, and a CMOS sensor.

[0023] In this technical solution, through the provided edge computing chip, the data generated by the electromyogram sensor, the radar, the infrared LED, and the CMOS sensor can be calculated.

[0024] Compared with the prior art, the present invention provides a dynamically adaptive defocusing lens, which has the following beneficial effects:

[0025] 1. The lens can collect real-time user visual behavior data through a CMOS sensor, a millimeter-wave radar, and an electromyogram sensor. After being fused and processed by an edge computing chip, a three-dimensional visual model including fixation point coordinates, target distance, and pupil state is constructed. The machine learning engine (LSTM + reinforcement learning) analyzes the eye use scenario and historical habits to generate dynamic regulation instructions. In the actuator, the piezoelectric micropump group drives the non-Newtonian fluid to flow directionally in the fractal microchannel, and cooperates with the coordinated deformation of multiple units of the piezoelectric film deformation layer to form a local defocusing area; the liquid crystal dimming layer tunes the refractive index through an electric field to achieve optical path compensation. The three cooperate to achieve dynamic adjustment of the defocus amount and response time, forming a "perception - decision - execution - feedback" closed loop. The overall thickness and light transmittance of the lens meet the all-weather wearing requirements.

[0026] 2. The dynamically adaptive defocusing lens has multi-dimensional technical advantages. The biofeedback drive mechanism can achieve millisecond-level dynamic adjustment of the defocus amount, accurately matching the eye movement trajectory and eye use scenarios (reading / exercise / electronic screen, etc.); through the ultra-thin composite structure and bionic fractal microchannel design, while maintaining the light transmittance and wearing comfort of conventional lenses, the lens is given excellent reliability such as impact resistance and self-repair; combined with multi-modal sensing fusion and machine learning algorithms, personalized visual correction is realized. Its self-cleaning base layer and mass-produced MEMS process further reduce the maintenance cost, can automatically adjust the focus according to the eye movement and line-of-sight changes of the wearer, provide clear vision within the full field of view, and the dynamic adaptive function ensures that the wearer can obtain the best visual clarity at any line-of-sight angle, effectively avoiding the discomfort such as blurred vision or glare that may be brought by traditional defocusing lenses, improving the wearing comfort and convenience, enabling the defocusing lens to prevent myopia while also bringing a better visual experience to the wearer, and thus facilitating the use of users. Brief Description of the Drawings

[0027] Figure 1 is a schematic diagram of the overall structure of the present invention;

[0028] Figure 2 is a schematic diagram of the cross-section of the temple of the present invention;

[0029] Figure 3 is the present invention Figure 1 partial enlarged schematic diagram of part A therein;

[0030] Figure 4 is the present invention Figure 1 partial enlarged schematic diagram of part B therein;

[0031] Figure 5 is the present invention Figure 1 partial enlarged schematic diagram of part C therein;

[0032] Figure 6 is a schematic diagram of the main structure of the lens of the present invention;

[0033] Figure 7 is a schematic diagram of the structure of the electrochromic protective layer of the present invention;

[0034] Figure 8 is a schematic diagram of the structure of the piezoelectric thin film deformation layer of the present invention;

[0035] Figure 9 is a schematic diagram of the structure of the microfluidic defocus layer of the present invention;

[0036] Figure 10 is a schematic diagram of the structure of the liquid crystal dimming layer of the present invention;

[0037] Figure 11 is a schematic diagram of the self-cleaning base layer of the present invention.

[0038] In the figure: 1, spectacle frame; 2, hinge; 3, temple; 4, nose pad; 5, electromyography sensor; 6, radar; 7, infrared LED; 8, CMOS sensor; 9, edge computing chip; 10, flexible battery; 11, mounting groove; 12, piezoelectric micropump group; 13, connecting conduit; 14, electrochromic protective layer; 15, piezoelectric thin film deformation layer; 16, microfluidic defocus layer; 17, liquid crystal dimming layer; 18, self-cleaning base layer; 18, lens body. Detailed Embodiments

[0039] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0040] Please refer to Figures 1-11 A dynamic adaptive defocusing lens, comprising a lens frame 1. Hinges 2 are arranged on both sides of the lens frame 1. One ends of the two hinges 2 are both provided with temple arms 3. Two symmetrically distributed nose pads 4 are fixedly installed on one side of the lens frame 1. Two symmetrically distributed lens bodies 19 are fixedly installed inside the lens frame 1. Installation grooves 11 are formed inside the two temple arms 3. Piezoelectric micropump groups 12 are fixedly installed inside the two installation grooves 11. Output ends of the two piezoelectric micropump groups 12 are both communicated with connecting conduits 13. The lens body 19 includes an electrochromic protective layer 14, a piezoelectric thin film deformation layer 15, a microfluidic defocusing layer 16, a liquid crystal dimming layer 17 and a self-cleaning base layer 18. The electrochromic protective layer 14, the piezoelectric thin film deformation layer 15, the microfluidic defocusing layer 16, the liquid crystal dimming layer 17 and the self-cleaning base layer 18 are bonded by nano materials.

[0041] Among them, the lens can collect real-time user visual behavior data through a CMOS sensor 8, a millimeter wave radar 6 and an electromyography sensor 5. After being fused and processed by an edge computing chip 9, a three-dimensional visual model including fixation point coordinates, target distance and pupil state is constructed. A machine learning engine (LSTM + reinforcement learning) analyzes the eye use scenario and historical habits, predicts the defocusing demand within the next 200 ms, and generates a dynamic regulation instruction. In the actuator, the piezoelectric micropump group 12 drives non-Newtonian fluid to flow directionally in the fractal microchannel (flow accuracy ±0.5 μL / s), and cooperates with the coordinated deformation of multiple units of the piezoelectric thin film deformation layer 15 (resolution 0.1 μm) to form a local defocusing area. The liquid crystal dimming layer 17 tunes the refractive index through an electric field to achieve optical path compensation. The three cooperate to achieve a dynamic adjustment of the defocusing amount at the 0.01D level, with a response time <50 ms, forming a "perception - decision - execution - feedback" closed loop. The overall thickness of the lens <2.5 mm and the light transmittance >88%, meeting the all-weather wearing requirements.

[0042] This dynamic adaptive defocusing lens has multi-dimensional technical advantages. The biofeedback drive mechanism can achieve a dynamic adjustment of the defocusing amount at the millisecond level (<50 ms) with an accuracy of 0.01D, accurately matching the eye movement trajectory and eye use scenarios (such as reading / movement / e-screen, etc.); through the ultra-thin composite structure (total thickness <2.5 mm) and bionic fractal microchannel design, while maintaining the light transmittance of a conventional lens (>88%) and wearing comfort (weight <18 g), the lens is given excellent reliability such as impact resistance and self-repair; combined with multi-modal sensing fusion and machine learning algorithms, personalized visual correction is realized. Its self-cleaning base layer 18 (contact angle >160°) and mass production MEMS process further reduce the maintenance cost. The comprehensive performance is 3 to 5 times higher than that of traditional defocusing lenses, thus facilitating the use of users.

[0043] Further, the electrochromic protective layer 14 is made of a nano-hydrophobic coating, and its surface has a micro-convex structure.

[0044] Among them, by setting the nano-hydrophobic coating, the waterproof performance of the lens can be effectively improved. The principle is that the nano-coating utilizes the macroscopic quantum tube effect of nano-materials to significantly improve the hydrophobic performance of the coating, making water droplets form beads on the lens surface and roll off quickly, keeping the lens clear. At the same time, the nano-coating can also enhance the wear resistance and anti-fouling property of the lens.

[0045] Further, multiple hexagonal control units are arranged inside the microfluidic defocus layer 16. The multiple hexagonal control units are in a honeycomb structure, and a silver nanowire conductive grid is arranged inside the microfluidic defocus layer 16.

[0046] Among them, the multiple hexagonal control units generate an accurate deformation of 0 - 15 μm under a voltage of 0 - 200V, forming a composite modulation with the fluid pressure:

[0047] ω i : unit weight coefficient;

[0048] α: piezoelectric response non-linearity factor;

[0049] ψ i (X,Y): unit influence function.

[0050] Further, a main defocus cavity is arranged inside the liquid crystal dimming layer 17. The main defocus cavity is filled with non-Newtonian fluid. The main defocus cavity is connected to the connecting conduit 13. Branch microchannels are arranged inside the liquid crystal dimming layer 17, and multiple array-distributed pressure sensors are arranged inside the liquid crystal dimming layer 17.

[0051] Among them, the piezoelectric micropump group 12 receives a PWM control signal (duty cycle 5% - 95%), driving the non-Newtonian fluid to flow in the fractal microchannel: Q i =C p ·V PP ·f·sin(2 πft +φ i );

[0052] Q i : the instantaneous flow rate of the i-th micropump;

[0053] C p : piezoelectric coefficient (0.03 μL / (5 - 100V));

[0054] V pp : peak driving voltage (5 - 100V);

[0055] f: resonant frequency (200 ± 50Hz).

[0056] Furthermore, the self-cleaning base layer 18 has a biomimetic micron-scale pyramid structure inside.

[0057] Among them, the self-cleaning base layer 18 adopts a biomimetic micron-scale pyramid structure (height 5 - 10 μm, spacing 20 - 50 μm), and its principle is based on the lotus leaf effect: the micro-rough surface makes the water droplet contact angle reach more than 160°, forming a Cassie-Baxter hydrophobic state. When the water droplet rolls off, it takes away pollutants through surface tension, and cooperates with a photocatalytic nano-coating (such as TiO2) to achieve the decomposition of organic matter driven by ultraviolet light. This structure has both superhydrophobicity (contact angle > 160°), high light transmittance (visible light transmittance > 93%), and wear resistance (scrub resistance > 10 6 times), can effectively inhibit bacterial adhesion (bacteriostatic rate > 99.9%), and at the same time is seamlessly connected with the upper liquid crystal dimming layer 17 through a biomimetic interlocking structure. The thickness is only 0.3 mm, and wafer-level high-efficiency manufacturing is achieved through nanoimprint technology.

[0058] Furthermore, two symmetrically distributed infrared LEDs 7 are fixedly installed on one side of the frame 1, and two symmetrically distributed CMOS sensors 8 are fixedly installed on one side of the frame 1.

[0059] Among them, the infrared LED 7 and the CMOS sensor 8 are set to capture the eye movement trajectory at a sampling rate of 100 Hz and real-time locate the coordinates of the user's fixation point (accuracy ±0.1).

[0060] Furthermore, two radars 6 are fixedly installed on one side of the frame 1. Both of the two radars 6 are millimeter-level and are a left-right symmetric dual-antenna array. Myoelectric sensors 5 are installed on one side of each of the two nose pads 4, and the materials of the two myoelectric sensors 5 are both flexible electrode patches.

[0061] Among them, the millimeter-wave radar 6 (60 GHz band) measures the distance between the user and the observation target (in the range of 0.1 - 5 m, resolution 1 cm), combines the pupil diameter change data (dynamically adjusts the sampling rate 1 - 100 Hz), and constructs a three-dimensional visual space model. The myoelectric sensor 5 anticipates the adjustment demand (such as an upcoming saccade movement) by monitoring the micro-current signal (μV level) of the periorbital muscles.

[0062] Furthermore, flexible batteries 10 are fixedly installed on the outside of both temple arms 3, and an edge computing chip 9 is fixedly installed on one side of one of the temple arms 3.

[0063] Among them, the flexible battery 10 can provide power for the edge computing chip 9. The edge computing chip adopts an attention mechanism neural network to perform weighted fusion on multi-source heterogeneous data and generate a visual state vector containing the following parameters: V state =[θ χ ,θy , D obj , φ pupil , E EMG , L enu ;

[0064] θ X , θ y : Gaze point horizontal / vertical deflection angle;

[0065] D obj : Target distance;

[0066] φ pupil : Pupil diameter;

[0067] E EMG : Ocular electromyogram signal intensity;

[0068] L enu : Ambient light parameter.

[0069] Furthermore, the edge computing chip 9 is electrically connected to the electromyogram sensor 5, the radar 6, the infrared LED 7, and the CMOS sensor 8.

[0070] Among them, through the set edge computing chip 9, the data generated by the electromyogram sensor 5, the radar 6, the infrared LED 7, and the CMOS sensor 8 can be calculated.

[0071] Working principle: The lens can collect real-time user visual behavior data through the CMOS sensor 8, the millimeter-wave radar 6, and the electromyogram sensor 5. After being fused and processed by the edge computing chip 9, a three-dimensional visual model including gaze point coordinates, target distance, and pupil state is constructed. The machine learning engine (LSTM + reinforcement learning) analyzes the eye use scenario and historical habits, predicts the defocusing demand within the next 200 ms, and generates dynamic adjustment instructions. In the actuator, the piezoelectric micropump group 12 drives the non-Newtonian fluid to flow directionally in the fractal microchannel (flow accuracy ±0.5 μL / s), and cooperates with the coordinated deformation of multiple units of the piezoelectric thin film deformation layer 15 (resolution 0.1 μm) to form a local defocusing area; the liquid crystal dimming layer 17 tunes the refractive index through an electric field to achieve optical path compensation. The three cooperate to achieve a dynamic adjustment of the defocusing amount at the 0.01 D level, with a response time <50 ms, forming a "perception - decision - execution - feedback" closed loop. The overall thickness of the lens <2.5 mm and the light transmittance >88%, meeting the all-weather wearing requirements.

[0072] This dynamic adaptive defocusing lens has multi-dimensional technical advantages. The biofeedback drive mechanism can achieve dynamic adjustment of defocus amount at the millisecond level (<50 ms) with an accuracy of 0.01 D, accurately matching the eye movement trajectory and visual use scenarios (such as reading, sports, electronic screens, etc.); through the ultra-thin composite structure (total thickness <2.5 mm) and bionic fractal microchannel design, while maintaining the light transmittance (>88%) and wearing comfort (weight <18 g) of conventional lenses, it endows the lens with excellent reliability such as impact resistance and self-repair; combined with multi-modal sensing fusion and machine learning algorithms, it realizes personalized visual correction. Its self-cleaning base layer 18 (contact angle >160°) and mass-production MEMS process further reduce the maintenance cost. The comprehensive performance is 3 to 5 times higher than that of traditional defocusing lenses, thus facilitating user use. It can automatically adjust the focus according to the eye movement and line-of-sight change of the wearer, providing clear vision within the entire field of view. The dynamic adaptive function ensures that the wearer can obtain the best visual clarity at any line-of-sight angle, effectively avoiding the discomfort such as blurred vision or glare that may be brought by traditional defocusing lenses, improving the wearing comfort and convenience, and enabling the defocusing lens to bring a better visual experience to the wearer while preventing myopia.

[0073] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made in 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 dynamic adaptive defocusing lens, comprising a frame (1), characterized in that, Both sides of the frame (1) are provided with hinges (2), one end of each of the two hinges (2) is provided with a temple (3), one side of the frame (1) is fixedly installed with two symmetrically distributed nose pads (4), and two symmetrically distributed lens bodies (19) are fixedly installed inside the frame (1); installation grooves (11) are formed inside both of the temples (3), piezoelectric micropump groups (12) are fixedly installed inside both of the installation grooves (11), and the output ends of both of the piezoelectric micropump groups (12) are communicated with connecting conduits (13); the lens body (19) includes an electrochromic protective layer (14), a piezoelectric film deformation layer (15), a microfluidic defocusing layer (16), a liquid crystal dimming layer (17) and a self-cleaning base layer (18), and the electrochromic protective layer (14), the piezoelectric film deformation layer (15), the microfluidic defocusing layer (16), the liquid crystal dimming layer (17) and the self-cleaning base layer (18) are bonded by nanomaterials.

2. The dynamic adaptive defocusing lens according to claim 1, wherein: The electrochromic protective layer (14) is made of a nano-hydrophobic coating, and its surface has a micro-protruding structure.

3. The dynamic adaptive defocusing lens according to claim 1, wherein: A plurality of hexagonal control units are arranged inside the microfluidic defocusing layer (16), the plurality of hexagonal control units are in a honeycomb structure, and a silver nanowire conductive grid is arranged inside the microfluidic defocusing layer (16).

4. The dynamic adaptive defocusing lens according to claim 1, wherein: A main defocusing cavity is arranged inside the liquid crystal dimming layer (17), the main defocusing cavity is filled with a non-Newtonian fluid, the main defocusing cavity is communicated with the connecting conduit (13), branch microchannels are arranged inside the liquid crystal dimming layer (17), and a plurality of array-distributed pressure sensors are arranged inside the liquid crystal dimming layer (17).

5. The dynamic adaptive defocusing lens according to claim 1, wherein: The inside of the self-cleaning base layer (18) is a bionic microscale pyramid structure.

6. The dynamic adaptive defocusing lens according to claim 1, wherein: Two symmetrically distributed infrared LEDs (7) are fixedly installed on one side of the frame (1), and two symmetrically distributed CMOS sensors (8) are fixedly installed on one side of the frame (1).

7. The dynamic adaptive defocusing lens according to claim 6, wherein: Two radars (6) are fixedly installed on one side of the frame (1), both of the two radars (6) are millimeter-level and have a left-right symmetric dual-antenna array, and electromyography sensors (5) are installed on one side of each of the two nose pads (4), and the materials of both of the two electromyography sensors (5) are flexible electrode patches.

8. The dynamic adaptive defocusing lens according to claim 7, characterized in that: Flexible batteries (10) are fixedly installed on the outside of both of the temples (3), and an edge computing chip (9) is fixedly installed on one side of one of the temples (3).

9. The dynamic adaptive defocusing lens according to claim 8, wherein: The edge computing chip (9) is in telecommunication connection with the electromyography sensor (5), the radar (6), the infrared LED (7) and the CMOS sensor (8).

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