Multi-layer composite intelligent interaction surface and touch interaction method

Abstract

The invention discloses a multi-layer composite intelligent interaction surface and a touch interaction method, which are applied to the surface of an automotive trim, and the multi-layer composite intelligent interaction surface comprises a base material layer attached to the surface of the automotive trim; the touch control layer is arranged on the base material layer, a gesture recognition sensor is arranged in the touch control layer, and the touch control layer is used for receiving gesture information obtained on the surface of the automotive trim based on a target image; the display layer is arranged on the touch layer and is used for displaying image information; the optical layer is arranged on the display layer and is used for performing dynamic phase compensation on the image information to obtain the target image; and a surface layer disposed on the optical layer and configured as a light-transmitting layer. Thus, a plurality of layers are arranged for compounding, a multifunctional interactive surface is achieved, accurate image display can be carried out while the touch screen is attached to the surface of the automotive trim, and the touch interactive experience is improved.

Description

Technical Field

[0001] This application relates to the field of vehicle interior design, and in particular to a multi-layer composite intelligent interactive surface and a touch interaction method. Background Technology

[0002] With the development of automotive intelligence, smart cockpits place higher demands on the material texture, display effect, and control precision of the interactive interface. However, existing technologies still face significant bottlenecks in achieving multi-functional integrated interaction in curved areas.

[0003] Traditional touch solutions can only achieve a single recognition function, and flat screens cannot fit complex curved surfaces, resulting in severe distortion in holographic displays and an inability to obtain a correctly displayed image. Summary of the Invention

[0004] The purpose of this application is to provide a multi-layer composite intelligent interactive surface and a touch interaction method. By setting multiple layers for composite, a multi-functional interactive surface is realized, which can accurately display images while adhering to the surface of the car interior, thereby improving the touch interaction experience.

[0005] To achieve the above objectives: In a first aspect, embodiments of this application provide a multi-layer composite smart interactive surface, applied to automotive interior surfaces, comprising: The substrate layer is bonded to the surface of the automotive interior. A touch layer is disposed on the substrate layer, and a gesture recognition sensor is provided in the touch layer for receiving gesture information obtained based on a target image on the surface of the automotive interior; A display layer, disposed on the touch layer, is used to display image information; An optical layer, disposed on the display layer, is used to perform dynamic phase compensation on the image information to obtain the target image; The surface layer, disposed on the optical layer, is configured as a light-transmitting layer.

[0006] In one embodiment, the touch layer is further provided with a capacitive proximity sensor for receiving confirmation information of the gesture information; the gesture recognition sensor receives the gesture information when it detects the confirmation information.

[0007] In one embodiment, the display layer is provided with micro light-emitting diodes (LEDs) for displaying image information.

[0008] In one embodiment, the optical layer is provided with a nanopillar array, which is used to perform dynamic phase compensation on the image information to obtain the target image.

[0009] In one embodiment, the surface layer is provided with a plurality of apertures for light transmission, and the apertures are arranged in a preset golden angle distribution direction.

[0010] Secondly, embodiments of this application provide a touch interaction method, applied to the multi-layer composite smart interactive surface as described in any one of claims 1-5, comprising: Image information is displayed through the display layer; The optical layer determines the displacement compensation parameters and the mapping compensation parameters of the image information; based on the displacement compensation parameters and the mapping compensation parameters, the target image to be output and displayed on the automotive interior surface is determined. The touch layer receives gesture information based on the target image obtained on the surface of the car interior.

[0011] In one embodiment, determining the displacement compensation parameters of the image information through the optical layer includes: In response to the electrically driven signal received by the optical layer, the relative displacement of the nanopillar array perpendicular to the substrate layer is determined; Based on the relative displacement, displacement compensation parameters for adjusting the height of the nanopillar array are determined.

[0012] In one embodiment, the mapping compensation parameters include stretching compensation parameters, environmental error compensation parameters, and dynamic compensation parameters; the mapping compensation parameters for determining the image information through the optical layer include at least one of the following: Determine the deformation parameters of the surface layer, and determine the stretching compensation parameters for mapping the image information based on the deformation parameters; Based on the aperture data of the surface layer and the actual offset data for mapping the image information, the environmental error compensation parameters for mapping the image information are determined. The feedback compensation parameters are determined based on the actual phase parameters used to map the image information, and the dynamic compensation parameters for mapping the image information are determined based on the preset feedforward compensation parameters and the feedback compensation parameters.

[0013] In one embodiment, determining the deformation parameters of the surface layer and determining the stretch compensation parameters for mapping the image information based on the deformation parameters includes: Determine the deformation parameters of the surface layer under tension, and analyze the deformation parameters and preset target mapping data to determine the position offset of the surface layer where deformation occurs; The compensation parameters for the single nanopillar in the optical layer are determined based on the position offset. Based on the compensation parameters of the single nanopillar, stretching compensation parameters for mapping the phase of the incident light wave of the image information are determined.

[0014] In one embodiment, determining the environmental error compensation parameters for mapping the image information based on the aperture data of the surface layer and the actual offset data for mapping the image information includes: Based on the aperture data of the surface layer and the actual offset data of the image information mapped onto the surface layer, the first phase error component of the symmetric characteristic and the second phase error component of the asymmetric characteristic are determined. Based on the first phase error component and the second phase error component, environmental error compensation parameters for mapping the image information are determined.

[0015] This application provides a multi-layered composite intelligent interactive surface and touch interaction method, applied to an automotive interior surface. The surface includes: a substrate layer, bonded to the automotive interior surface; a touch layer disposed on the substrate layer, the touch layer containing a gesture recognition sensor for receiving gesture information acquired based on a target image on the automotive interior surface; a display layer disposed on the touch layer for displaying image information; an optical layer disposed on the display layer for performing dynamic phase compensation on the image information to obtain the target image; and a surface layer disposed on the optical layer, configured as a light-transmitting layer. Thus, by combining multiple layers, a multi-functional interactive surface is achieved, enabling accurate image display while bonded to the automotive interior surface, thereby improving the touch interaction experience. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the structure of a multilayer composite intelligent interactive surface provided in an embodiment of the present invention.

[0017] Figure 2 This is a flowchart illustrating the touch interaction method provided in an embodiment of the present invention.

[0018] Figure 3 This is a schematic diagram of the structure of a computing device provided in an embodiment of the present invention.

[0019] Processor 210, memory 211, network interface 212, bus system 213. Detailed Implementation

[0020] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0021] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, components, features, and elements with the same names in different embodiments of this application may have the same meaning or different meanings, the specific meaning of which must be determined by its interpretation in that specific embodiment or further in conjunction with the context of that specific embodiment.

[0022] It should be understood that although the terms first, second, third, etc., may be used herein to describe various information, such information should not be limited to these terms. These terms are used only to distinguish information of the same type from one another. For example, without departing from the scope of this document, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if," as used herein, can be interpreted as "when," "when," or "in response to determination." Furthermore, as used herein, the singular forms "a," "an," and "the" are intended to also include the plural forms unless the context indicates otherwise. It should be further understood that the terms "comprising," "including," indicate the presence of the stated feature, step, operation, element, component, item, kind, and / or group, but do not exclude the presence, occurrence, or addition of one or more other features, steps, operations, elements, components, items, kinds, and / or groups. The terms "or" and "and / or" as used herein are to be interpreted as inclusive, or mean any one or any combination thereof. Therefore, "A, B, or C" or "A, B, and / or C" means "any one of the following: A; B; C; A and B; A and C; B and C; A, B, and C". Exceptions to this definition will only occur if the combination of elements, functions, steps, or operations is inherently mutually exclusive in some way.

[0023] It should be understood that although the steps in the flowcharts of this application's embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0024] It should be noted that step designations such as S101 and S102 are used in this document for the purpose of more clearly and concisely describing the corresponding content, and do not constitute a substantial limitation on the order. In specific implementation, those skilled in the art may execute S102 first and then S101, etc., but these should all be within the protection scope of this application.

[0025] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0026] In the following description, the use of suffixes such as "module," "part," or "unit" to denote elements is solely for the purpose of illustrative purposes and has no specific meaning in itself. Therefore, "module," "part," or "unit" may be used interchangeably.

[0027] See Figure 1 This application provides a multi-layer composite intelligent interactive surface for use on automotive interior surfaces, characterized by comprising: The substrate layer is bonded to the surface of the automotive interior. A touch layer is disposed on the substrate layer. A gesture recognition sensor is provided in the touch layer to receive gesture information obtained from the target image on the surface of the car interior. The display layer, located on top of the touch layer, is used to display image information; The optical layer, located on the display layer, is used to perform dynamic phase compensation on image information to obtain the target image; The surface layer, located on the optical layer, is configured as a light-transmitting layer.

[0028] Optionally, the multi-layer composite intelligent interactive surface is configured from bottom to top as a substrate layer, a touch layer, a display layer, an optical layer, and a surface layer.

[0029] The interior surfaces of a car may include areas such as the front of the roof (driver's area), the inside of the A-pillar (passenger area), and the edge of the dashboard (center console area).

[0030] Gesture information is used to confirm or adjust the information displayed in the target image, such as adjusting the air conditioning button, ambient light button, seat button, brightness adjustment, and angle adjustment.

[0031] The target image corresponds to the displayed virtual air conditioning button, ambient light button, seat button, display interface, indicator, reminder image, etc.

[0032] The substrate layer is a thermoplastic polyurethane (TPU) film with a thickness that can be configured to 1.2 mm. Here, a 3D hot-pressing process is used to hot-press the substrate layer onto the automotive interior surface, achieving precise shaping of multi-layered composite intelligent interactive surfaces and complex curved surfaces. By selecting TPU material for the substrate layer, its flexibility, weather resistance, and fatigue resistance are improved, allowing for flexible adaptation to complex curved surfaces in automotive interiors.

[0033] Optionally, the substrate layer includes an embedded copper foil heat dissipation layer with a thickness of 0.05 mm. Here, the embedded copper foil heat dissipation layer is integrally formed with the TPU matrix, creating a composite structure of "flexible support + efficient heat dissipation". This copper foil heat dissipation layer possesses a high thermal conductivity (380 W / (m·K)), which improves the heat dissipation capacity of the substrate layer and effectively dissipates heat generated by electronic components or circuits.

[0034] Here, the embedded copper foil heat dissipation layer and TPU are thermo-pressed to form the substrate layer. Typically, a temperature of 160℃ is set to ensure the material fully softens and flows, while a high pressure of 5MPa is applied to ensure a tight bond between the TPU and the copper foil, simultaneously shaping a 3D curved surface. Simultaneously, a 5-minute constant temperature and pressure period is maintained to ensure molding stability and interlayer bonding strength, achieving a seamless bond between the substrate layer and the touch layer.

[0035] Optionally, the thickness of the touch layer can be configured to 0.5mm. Simultaneously, a micron-level alignment process ensures the optical axis consistency between the gesture recognition sensor and the infrared illumination module, preventing imaging shift. The gesture recognition sensor can be configured as a CCD sensor, typically configured with a resolution of 1280×960 and a frame rate of 120fps, capable of capturing high-speed hand movements, resulting in an accuracy of ±1mm for the acquired gesture information.

[0036] Optionally, the display layer is generally based on polydimethylsiloxane, and its thickness is generally configured to be 0.2 mm to adapt to complex curved surfaces (such as steering wheels and dashboards).

[0037] Optionally, the optical layer is configured as a silicon nitride (Si3N4) metasurface with a nanopillar array structure. The height of the pillars is typically set to 200–300 nm, and the diameter to 100–150 nm. It is fabricated using electron beam lithography or nanoimprint lithography. Here, the optical layer uses a flexible polydimethylsiloxane (PDMS) substrate with a thickness of 0.1 mm to support the nanopillar array and adapt to curved surface bonding.

[0038] Optionally, the optical layer uses a nanopillar array to spatially modulate the phase of the incident light wave, compensating for phase distortion caused by the curved surface of the display layer or environmental vibrations, thus ensuring the fidelity of the holographic image. Here, for the nanopillar array of the optical layer, each nanopillar is equivalent to a superpixel. By designing its height distribution, a specific light field distribution is generated, resulting in a high-resolution hologram. The optical layer and display layer can be bonded using UV-curable optical adhesive (OCA). The adhesive layer parameters are typically set as follows: refractive index 1.48 (matching the refractive index of silicon nitride ~2.0), thickness 0.05 mm, to reduce interface reflection and refraction losses. Simultaneously, when bonding the optical layer and display layer using UV-curable optical adhesive, UV curing (wavelength 365 nm) is applied, typically at a pressure of 3 MPa for 10 seconds, to ensure seamless bonding between the nanopillar array and the display layer. Here, the optical layer achieves dynamic phase compensation and holographic imaging through a nanopillar array of silicon nitride metasurface. Combined with Bessel algorithm pre-calibration and high-precision bonding with UV-cured adhesive, it completes surface distortion compensation (<3%) and high-brightness HDR display within an ultra-thin thickness of 0.1mm. It is a key output module for multimodal interaction in the smart cockpit, combining functionality, design aesthetics and reliability.

[0039] Optionally, the surface layer is the outermost layer of a multi-layered composite smart interactive surface, whose composite materials are configured as microfibers and a polyurethane (PUR) coating. The microfibers mimic the structure of suede fibers, providing a soft touch, while the PUR surface layer enhances the surface's abrasion resistance and gloss. Here, the surface layer features a laser micropore array (typically set with a pore size of 20–50 μm and a density of 200–500 pores / cm²). 2 This achieves a balance between light transmittance and tactile feel in the surface layer. Here, the total thickness of the surface layer is generally set to 0.6mm, with the microporous layer accounting for about 30%, in order to maintain the flexibility of the fiber layer while ensuring a light transmittance of ≥60%.

[0040] In one embodiment, the touch layer is further provided with a capacitive proximity sensor for receiving confirmation information of the gesture information; the gesture recognition sensor receives the gesture information when it detects the confirmation information.

[0041] Optionally, a capacitive proximity sensor is used to determine whether an object is close by detecting changes in capacitance between the target object and the sensor, which helps the gesture recognition sensor obtain accurate gesture information. Specifically, when the capacitive proximity sensor receives confirmation of the gesture information, the gesture recognition sensor receives the corresponding gesture information based on the current confirmation. Here, when the capacitive proximity sensor detects a gesture approaching and a change in capacitance, it confirms the receipt of the gesture information.

[0042] Optionally, when the gesture recognition sensor or capacitive sensor fails due to external interference (such as vibration or obstruction), the target state is inferred through inertial data. Combined with the capacitive sensor, high-frequency vibration noise is filtered out through frequency domain analysis (such as 5-20Hz band-stop filtering) to determine whether the gesture recognition sensor receives gesture information.

[0043] In this way, the multi-sensor redundancy design achieves comprehensive environmental perception and fault tolerance through the coordinated operation of optical imaging (CCD), electromagnetic induction (capacitive), and inertial measurement (IMU), making it suitable for intelligent systems with high reliability requirements.

[0044] In one embodiment, the display layer is provided with micro light-emitting diodes (LEDs) for displaying image information.

[0045] Optionally, the display layer comprises a pixel layer, a driving circuit layer, and an encapsulation layer. The pixel layer houses GaN-on-PI micro-LEDs responsible for displaying image information. The driving circuit layer is configured as an embedded thin-film transistor (TFT), interconnected with the pixel layer via thermoforming bonding with anisotropic conductive film (ACF). Here, the micro-LEDs are interconnected with the driving circuit, meaning the display is achieved through the driving circuit. The encapsulation layer is configured as ultra-thin glass or a transparent polymer to protect the pixels and improve their anti-aging properties.

[0046] In this process, anisotropic conductive adhesive (ACF) is used to fill the pixel electrodes of the micro-LEDs and the pads of the driving circuit. High temperature and pressure are applied to make the conductive particles vertically conductive while providing lateral insulation. Specifically, the parameters for ACF thermocompression bonding can be configured as follows: temperature 200℃ (to activate ACF molecules); pressure 3MPa; time 10 seconds (rapid curing to avoid thermal damage). Here, the high transparency (>85%) of the micro-LEDs preserves the original appearance of the interior, such as the suede-like texture.

[0047] Optionally, the display layer also supports high dynamic range (HDR) display, which means setting a peak brightness of 800 nits and a contrast ratio of >100,000:1 to meet the clear display requirements in bright light environments (such as daytime driving). It also covers 95% of the DCI-P3 cinematic color gamut, with accurate color reproduction and supports 10-bit color depth.

[0048] Optionally, the display layer uses a dimethylsiloxane (PDMS) substrate, which has a Young's modulus close to that of rubber (~10MPa), and can deform with the interior surface without the risk of breakage.

[0049] In this way, the display layer achieves high-brightness HDR display, complex surface adaptation, and extremely low false touch rate (<0.1%) interaction capabilities through transparent Micro-LED, flexible PDMS substrate and ACF high-precision bonding technology. At the same time, the microlens array compensates for surface refraction distortion to ensure color uniformity across the entire viewing angle.

[0050] In one embodiment, the optical layer is provided with a nanopillar array, which is used to perform dynamic phase compensation on the phase of the incident light wave of the image information to obtain the target image.

[0051] Optionally, the phase of the incident light wave for image information can be spatially modulated using a nanopillar array to compensate for phase distortion caused by the curvature of the display layer or environmental vibrations, ensuring the fidelity of the holographic image. Here, the phase distribution can be pre-calibrated using a Bessel polynomial algorithm and dynamically optimized using real-time IMU data.

[0052] Optionally, each nanopillar in the optical layer is equivalent to a superpixel, and a specific light field distribution is generated by designing its height distribution to achieve high-resolution image information (such as UI interfaces, warning symbols).

[0053] In one embodiment, the surface layer is provided with a plurality of apertures for light transmission, and the apertures are arranged in a preset golden angle distribution direction.

[0054] Optionally, discrete micropores can be processed by femtosecond laser to reduce the effective area of ​​the fiber layer and increase the light transmittance to over 60%, thereby achieving optical penetration for holographic display and gesture recognition.

[0055] Optionally, micropores are arranged non-periodically at golden angles (approximately 137.5°) to ensure transmittance fluctuation of <5% (better than the 15% of spiral scanning), thus ensuring uniform brightness of the holographic image.

[0056] Golden Angle Distribution: The aperture positions generated by the Fibonacci sequence follow a golden angle arrangement of 137.5°, mathematically expressed as: ;r n =√n / N (n=1,2,...,N). Where N is the total number of holes, r nThis represents the normalized radial distance. The arrangement based on the golden angle distribution ensures that the holes are distributed as evenly as possible within the circular area, avoiding localized dense or sparse distributions.

[0057] In this way, the surface layer simulates the feel of suede through ultra-fine fibers and a PUR coating. Combined with femtosecond laser micropores and plasma bonding technology, it achieves a light transmittance of ≥60%, holographic image uniformity (fluctuation <5%), and low diffraction noise (efficiency improvement of 10-15%) within a thickness of 0.6mm. Its design balances a luxurious interior experience with intelligent interactive functions, making it a key surface layer solution for multimodal interactive systems in automotive intelligent cockpits.

[0058] In summary, the multi-layered composite intelligent interactive surface provided in the above embodiments achieves a multi-functional interactive surface by setting multiple layers for composite design. It can accurately display images while adhering to the surface of the car interior, thus improving the touch interaction experience.

[0059] See Figure 2 Based on the same embodiments described above, this application proposes a touch interaction method, which can be implemented in software and / or hardware. In this embodiment, the touch interaction method is applied to the multi-layer composite smart interactive surface provided in the above embodiments. The touch interaction method provided in this embodiment includes: Step S101: Display image information through the display layer.

[0060] The image information includes the UI interface and animated symbols, specifically including virtual air conditioning buttons, ambient light buttons, seat buttons, display interfaces, indicator signs, reminder images, etc.

[0061] Step S102: Determine the displacement compensation parameters and the mapping compensation parameters of the image information through the optical layer; determine the target image to be displayed on the surface of the car interior based on the displacement compensation parameters and the mapping compensation parameters.

[0062] Optionally, displacement compensation parameters are used to correct positional deviations caused by the mapping of image information onto the physical space of the automotive interior surface. Due to irregularities in the curved surfaces of automotive interiors, image information may be translated, rotated, or tilted when projected onto the interior surface. Therefore, setting displacement compensation parameters accordingly allows for translation, rotation, or mirroring adjustments to the image, ensuring that the image information is consistent with design expectations during mapping.

[0063] Optionally, environmental impact compensation parameters are used to correct for interference from external environmental factors (such as temperature, humidity, vibration, and light) on the displayed image information, ensuring that the image can still be accurately mapped onto the automotive interior surface under complex working conditions.

[0064] In this way, by setting displacement compensation parameters and mapping compensation parameters, it is ensured that the final target image is accurately positioned and naturally shaped on the surface of the car interior, avoiding image distortion or misalignment perceived by the user, and improving comfort and aesthetics.

[0065] In one embodiment, determining the displacement compensation parameters of image information through an optical layer includes: The relative displacement of the nanopillar array perpendicular to the substrate layer is determined in response to the electrically driven signal received by the optical layer; Based on the relative displacement, the displacement compensation parameters used to adjust the height of the nanopillar array are determined.

[0066] Optionally, the nanopillar array of the optical layer is connected to the substrate via a microelectromechanical system (MEMS) microcantilever beam, with a piezoelectric ceramic (such as lead zirconate titanate piezoelectric ceramic) or an electrostatic actuator integrated at the bottom. In this way, applying a voltage (typically set to 1-5 V) drives the cantilever beam to bend, changing the height of the nanopillars (Δh ≈ 10-50 nm) and adjusting the phase retardation. .

[0067] In one embodiment, the mapping compensation parameters include stretching compensation parameters, environmental error compensation parameters, and dynamic compensation parameters; the mapping compensation parameters for determining image information through the optical layer include at least one of the following: Determine the deformation parameters of the surface layer, and determine the stretching compensation parameters for mapping image information based on the deformation parameters; Based on the surface aperture data and the actual offset data for mapping image information, determine the environmental error compensation parameters for mapping image information; The feedback compensation parameters are determined based on the actual phase parameters used to map the image information, and the dynamic compensation parameters for mapping the image information are determined based on the preset feedforward compensation parameters and feedback compensation parameters.

[0068] Optionally, the stretching compensation parameter is used to compensate for the positional shift of the nanopillars caused by serpentine unfolding, which disrupts the designed phase gradient. The environmental error compensation parameter is used to compensate for the mismatch in thermal expansion coefficients caused by environmental changes such as temperature. The dynamic compensation parameter is used to compensate for time-varying errors introduced by creep or hysteresis effects of the PDMS substrate.

[0069] In one embodiment, the deformation parameters of the surface layer are determined, and stretching compensation parameters for mapping image information are determined based on the deformation parameters, including: Determine the deformation parameters of the surface layer under tension, and analyze the deformation parameters and preset target mapping data to determine the position offset of the surface layer where deformation occurs. The compensation parameters for a single nanopillar in the optical layer are determined based on the position offset. Based on the compensation parameters of the single nanopillar, the stretching compensation parameters for mapping image information are determined.

[0070] Optionally, the tensile strain under the tensile state simulated by the finite element analysis (FEA) and the equivalent straight line length of the unfolded serpentine structure are determined to identify the displacement of the nanopillar height or spacing caused by local curvature changes, and the corresponding nanopillar position offsets Δx and Δy are output. Here, Δx and Δy are used to characterize the positional offsets of the nanopillar height and spacing caused by local curvature changes, respectively.

[0071] Optionally, the positional offsets Δx and Δy of the nanopillars are determined based on the phase-deformation mapping relationship, and the phase model of a single nanopillar can be expressed by the following formula:

[0072] in, h represents the phase retardation introduced by the difference in height and refractive index of the i-th nanopillar; i For the height of the i-th nanopillar, stretching results in h i for ; The global tensile strain describes the overall deformation of the optical layer.

[0073] Alternatively, the global phase distribution can be represented as:

[0074] in, To map the two-dimensional phase distribution in actual space to the optical layer; Let x be the metasurface period, and sinc function characterize the coupling effect between adjacent nanopillars. x and y are the coordinate positions of the i-th nanopillar in the optical layer.

[0075] In this way, stretching compensation is achieved by mapping image information through global phase distribution.

[0076] In this way, by transforming mechanical deformation into optical phase modulation through the phase-deformation mapping relationship, dynamic light field control, high-fidelity imaging, environmental adaptability and multi-functional integration are realized, providing an efficient and reliable technical path for scenarios such as flexible holographic displays and intelligent surface interaction.

[0077] In one embodiment, environmental error compensation parameters for mapping image information are determined based on surface aperture data and actual offset data used to map image information, including: Based on the aperture data of the surface layer and the actual offset data of the image information mapped onto the surface layer, the first phase error component of the symmetric characteristic and the second phase error component of the asymmetric characteristic are determined. Based on the first phase error component and the second phase error component, environmental error compensation parameters for mapping image information are determined.

[0078] Optionally, by setting a Bessel-polynomial hybrid decomposition, specifically, a polar coordinate expansion (adapted to circular optical systems), it can be expressed by the formula:

[0079] Among them, J m (k m,n r) is denoted as an m-th order Bessel function, used to describe the radial (r-direction) wave pattern, k m,n The wavenumber is the corresponding mode number. Indicated as angular direction ( The Fourier series basis functions (direction) exhibit periodic symmetry; a m,n These are preset coefficients, representing the weights of different modes in contributing to the total error.

[0080] Alternatively, it can be supplemented based on Cartesian coordinates (to adapt to serpentine asymmetric deformation), which can be expressed by the formula:

[0081] Where, x p y q b is a classical power-based polynomial used to describe asymmetric, localized error distributions (such as serpentine deformation); p,q These are the polynomial coefficients, reflecting the contribution of each order term to the error.

[0082] Here, the symmetric error (Bessel part) and the asymmetric error (polynomial part) are treated separately, taking into account both global and local characteristics, to determine the total error model, which can be expressed as:

[0083] In this way, the symmetric error (Bessel part) and the asymmetric error (polynomial part) are processed separately, taking into account both global and local characteristics, thus achieving accurate characterization and compensation of complex error fields.

[0084] In one embodiment, determining the dynamic compensation parameters for mapping image information specifically includes: first, determining preset feedforward compensation parameters, where the feedforward compensation parameters are preset based on the deformation parameters of the image information. Optionally, the parameters are preset based on different stretching rates of the image information and the corresponding phase error coefficient α. m,n b p,q .

[0085] Optionally, the generated data can be calibrated through FEA simulation or experiments. Specifically, the tensile rate is input via a strain sensor, and the corresponding parameter, namely the phase error coefficient α, is retrieved from a pre-defined database. m,n b p,q Determine the feedforward compensation parameters .

[0086] Optionally, the actual wavefront feedback quantity can be measured in real time based on optical measurements, and the corresponding feedback compensation parameters can be calculated and determined. Alternatively, the actual wavefront feedback quantity can be measured in real time using a Shack-Hartmann wavefront sensor or an interferometer. Optionally, the compensation feedback parameters can be obtained through residual calculation and proportional-integral-derivative control, which can be expressed as:

[0087] Among them, K p The proportional gain determines the weight of the proportional term, amplifying the current error value; K i The integral gain determines the weight of the integral term, and historical errors are accumulated to eliminate steady-state bias. The target value (set value) is the desired numerical value. The actual value is the current true measurement value of the controlled entity.

[0088] Optionally, the determined feedforward compensation parameters and feedback compensation parameters are fused to determine the dynamic compensation parameters for mapping image information, which can be expressed as: .

[0089] In this way, by combining static pre-compensation with dynamic feedback compensation, feedforward dominance is achieved when predicting deformation with high confidence, and feedback enhancement is achieved when environmental disturbances are unknown, which helps to achieve comprehensive correction of image information mapping errors.

[0090] In one embodiment, a state space, such as global tensile strain, temperature, and actual values, and an action space, such as piezoelectric driving voltage and liquid crystal orientation angle, can also be obtained to determine the corresponding reward function, which can be expressed as: R = w1·Efficiency + w2·(1 - RMS) error ) Among them, Efficiency is used to measure the system's energy efficiency or task completion rate; RMS error (root mean square error) is used to quantify the deviation between the actual wavefront value and the target wavefront value; w1 and w2 are preset weighting coefficients.

[0091] In this way, by combining state perception, action optimization, and closed-loop feedback with physical simulation and near-end policy optimization algorithms, efficient and accurate control is achieved.

[0092] Step S103: Receive gesture information obtained from the target image on the surface of the car interior through the touch layer.

[0093] Optionally, firstly, the user makes a gesture on the car's interior surface (such as the steering wheel, door panel, or dashboard), and the CCD sensor (Sony IMX477, 1280×960 resolution, 120fps) of the touch layer captures the hand movement trajectory. Secondly, based on deep learning algorithms (such as convolutional neural networks), the gesture type (such as swipe, pinch, air click) is identified, and key feature points (such as start point, end point, and trajectory direction) are extracted. Then, according to the gesture information (such as swiping left to lower the air conditioning temperature, rotating to adjust the volume), the corresponding command is executed.

[0094] In summary, the touch interaction method provided in the above embodiments achieves multifunctional interaction under the complex surface of the car interior by combining optical compensation and touch. It can accurately display images while adhering to the surface of the car interior, thus improving the touch interaction experience.

[0095] Based on the touch interaction method provided in the above embodiments, this application also provides a method for preparing a multilayer composite smart interactive surface. In this embodiment, the surface layer is configured as a suede-like layer, and the optical layer is configured as a holographic surface layer. The method for preparing the multilayer composite smart interactive surface specifically includes: I. Composite of suede-like material and holographic surface: Step 1: Laser micro-hole processing: The equipment can be an ultraviolet femtosecond laser with optimized laser parameters.

[0096] (1) Golden Angle Distribution: The holes generated by the Fibonacci sequence follow a golden angle arrangement of 137.5°, and the mathematical expression is: ; .

[0097] Where N is the total number of holes, r n This is the normalized radial distance.

[0098] (2) Proof of uniformity: The golden angle arrangement ensures that the holes are distributed as evenly as possible within the circular area, avoiding local density or sparseness.

[0099] (3) Determine the path: Input parameters: Target region radius R, pore density D (pores / cm³) 2 ), pore size d (10-20μm).

[0100] Calculate the total number of holes .

[0101] Step 2: Generate hole coordinates: Traverse n=1 to N and calculate polar coordinates. Convert to Cartesian coordinates: ; .

[0102] Step 3, Path Optimization: The traversal order of the holes is optimized by using the Traveling Salesman Problem (TSP) algorithm to reduce the idle travel time of the galvanometer (improving processing efficiency by 20%).

[0103] Simultaneously, post-processing steps are performed, including: (1) Plasma cleaning (argon, 200W, 30 seconds) to remove microporous carbonization residue; (2) After drilling, spray a hydrophobic nano-coating (SiO2 aerogel).

[0104] Step 2: Preparation of the metasurface layer (1) Master template fabrication: Electron beam lithography (JEOL JBX-6300FS) was used to etch the quartz template, with a linewidth error of ±1nm; (2) Determine the geometric parameters of the asymmetric serpentine design, including: Line width (W): typically 10-50 μm, adjustable according to application requirements.

[0105] Bending radius (R): It is recommended to be 2-5 times the line width (e.g., W=20 μm, R=50-100 μm).

[0106] Number of cycles (N): 3-5 bending cycles, balancing tensile strength and structural compactness.

[0107] Layer thickness (T): Depending on the material selection, the polymer layer thickness ranges from 100 nm to 5 μm.

[0108] (2) Perform nanoimprinting: Adhesive material: UV-cured flexible resin (refractive index 1.55, viscosity 200 cP); Parameters: Pressure 0.5MPa, Temperature 80℃, UV Energy 1000mJ / cm 2 ; Curved surface bonding: vacuum hot press (pressure uniformity ±1%), hold pressure for 3 minutes.

[0109] Step 3: Micro-LED Integration Here, nanostructure forming is achieved by forming gratings or nanopillar arrays through ultraviolet nanoimprinting (PAK-01 resist, pressure 0.5MPa, curing at 365nm).

[0110] Step 4: Post-processing and functionalization (1) Protective layer deposition: ALD deposition of 10nm Al2O3 (precursor: TMA / H2O, temperature 90°C) to improve wear resistance (structural height loss <5% after 100,000 friction cycles).

[0111] (2) Surface hydrophobic treatment: vapor-deposited fluorosilane (FDTS, contact angle > 110°) to prevent dirt and fingerprints.

[0112] Step 5: Integration of tunable nanostructures (1) MEMS-driven nanopillar array: Structural design: Silicon nitride nanopillars are connected to the substrate via micro cantilever beams, with piezoelectric ceramics (such as piezoelectric ceramic sheets) or electrostatic actuators integrated at the bottom.

[0113] Compensation principle: Applying a voltage (1-5 V) drives the cantilever beam to bend, changing the height of the nanopillar (Δh≈10-50 nm), thus adjusting the phase retardation. .

[0114] Advantages: Fast response speed (<1 ms), phase modulation range 0-2π.

[0115] (2) Liquid crystal filling gap: Structural design: Nematic liquid crystal (such as E7) is filled between silicon nitride nanopillars, and a transparent electrode (ITO) is covered on top.

[0116] Compensation principle: Applying voltage (0-5 V) changes the orientation of liquid crystal molecules, adjusts the equivalent refractive index (Δn≈0.3), and achieves phase tuning.

[0117] Advantages: Low power consumption (<0.1 W / cm²) 2 It is suitable for large-area flexible metasurfaces.

[0118] 2: Composite process with substrate 1. Modification of plastic substrates: (1) Material selection: high flowability PC or modified ABS, shrinkage rate ≤0.5%, add 1wt% nano SiO2 to improve thermal stability.

[0119] (2) Surface roughening: sandblasting (80 mesh sand) and coating with silane coupling agent (KH-550) to enhance the bonding force.

[0120] 2. Composite Process Steps Option A: In-Mold Deposition (IMD) Integration 1. Mold design: Vacuum adsorption tank for positioning holographic diaphragms (accuracy ±0.05mm), cooling water channel for zoned temperature control (diaphragm area 80°C, non-diaphragm area 50°C).

[0121] 2. Injection parameters: melt temperature 280°C, injection pressure 80MPa, holding pressure 60MPa, cycle time 30s.

[0122] 3. Laminating imitation suede: UV-cured adhesive (OCA, refractive index 1.5) is applied to the light-transmitting area under 365nm light (300mJ / cm²). 2 ).

[0123] Option B: Vacuum hot pressing composite 1. The stacking sequence includes: suede-like material, UV adhesive layer, holographic film, hot melt adhesive film (TPU base), and plastic substrate.

[0124] 2. Process parameters: vacuum degree -0.09MPa, temperature 140°C, pressure 0.5MPa, pressure holding time 120s.

[0125] 3. Post-processing and functionalization (1) Edge sealing: laser-welded TPU frame, waterproof rating IP67.

[0126] (2) Surface treatment: vapor deposition of fluorosilane (FDTS), contact angle > 110°, anti-fouling and anti-fingerprint.

[0127] Here, the suede-like translucent design achieves a local light transmittance of 60%-80% through laser micropores or blended transparent fibers (30% PET), preserving the tactile feel while supporting holographic projection.

[0128] (3) Holographic film optimization: Flexible silicon nitride metasurface (nanoimprinted period 300nm structure) is adopted, combined with UV curing adhesive (formulation containing vinyl silane and polyurethane acrylate) to improve water resistance and temperature resistance.

[0129] (4) Substrate composite process: In-mold injection (IMD) combined with vacuum hot pressing to solve the delamination problem and adapt to curved surface structures.

[0130] Three: Integration of CCD gesture recognition module 1. Layout: Front of the roof (driver's area), inside of the A-pillar (passenger area), edge of the dashboard (center console area); 2. Optical design, including: (1) Dichroic mirror spectral separation (separation of 532nm holographic light and 850nm infrared supplementary light); (2) Wide-angle lens (FOV 120°) + bandpass filter (850nm±10nm).

[0131] 4. Control Algorithm Flow Algorithm 1: Dynamic Phase Compensation (Holographic Display) (1) Geometric parameterization of the serpentine structure, including: Key parameters: number of serpentine unit cycles N, bending radius R, line width W, and spacing S.

[0132] Material properties: Silicon nitride elastic modulus E_SiN ≈ 250 GPa, substrate material (such as PDMS) elastic modulus E_PDMS ≈ 1 MPa.

[0133] The deformation model includes: under tensile strain Є, the serpentine structure unfolds to an equivalent straight length, and local curvature changes cause displacements in the height or spacing of the nanopillars. Finite element analysis (FEA) simulates the displacement field under tensile conditions and outputs the nanopillar position offsets Δx and Δy.

[0134] (2) The phase-deformation mapping relationship can be expressed by the formula:

[0135] in, Let be the phase retardation introduced by the difference in height and refractive index of the i-th nanopillar; let hi be the height of the i-th nanopillar, which is increased by stretching. ; The global tensile strain describes the overall deformation of the optical layer.

[0136] The global phase distribution can be represented as:

[0137] in, To map the two-dimensional phase distribution in actual space to the optical layer; Let x be the metasurface period, and sinc function characterize the coupling effect between adjacent nanopillars. x and y are the coordinate positions of the i-th nanopillar in the optical layer.

[0138] (2) Phase error modeling and decomposition The sources of error include: the serpentine unfolding causes the nanopillars to shift position, disrupting the designed phase gradient; creep or hysteresis effects of the PDMS substrate introduce time-varying errors; and temperature changes cause mismatches in the coefficients of thermal expansion.

[0139] Here, the mapping compensation parameters for image information are determined based on the generated error, including: a. Bessel-polynomial mixed factorization: Specifically, it can be expanded in polar coordinates (to suit circular optical systems), and expressed by the formula:

[0140] Among them, J m (k m,n r) is denoted as an m-th order Bessel function, used to describe the radial (r-direction) wave pattern, k m,n The wavenumber is the corresponding mode number. Indicated as angular direction ( The Fourier series basis functions (direction) exhibit periodic symmetry; a m,n These are preset coefficients, representing the weights of different modes in contributing to the total error.

[0141] Alternatively, it can be supplemented based on Cartesian coordinates (to adapt to serpentine asymmetric deformation), which can be expressed by the formula:

[0142] Where, x p y q b is a classical power-based polynomial used to describe asymmetric, localized error distributions (such as serpentine deformation); p,q These are the polynomial coefficients, reflecting the contribution of each order term to the error.

[0143] Here, the symmetric error (Bessel part) and the asymmetric error (polynomial part) are treated separately, taking into account both global and local characteristics, to determine the total error model, which can be expressed as:

[0144] In this way, the symmetric error (Bessel part) and the asymmetric error (polynomial part) are processed separately, taking into account both global and local characteristics, thus achieving accurate characterization and compensation of complex error fields.

[0145] b. Dynamic compensation strategy design First, the preset feedforward compensation parameters are determined. Here, the feedforward compensation parameters are preset based on the deformation parameters corresponding to the image information. Optionally, the parameters are preset based on different stretching rates of the image information and the corresponding phase error coefficient α. m,n b p,q .

[0146] Optionally, the generated data can be calibrated through FEA simulation or experiments. Specifically, the tensile rate is input via a strain sensor, and the corresponding parameter, namely the phase error coefficient α, is retrieved from a pre-defined database. m,n b p,q Determine the feedforward compensation parameters .

[0147] Optionally, the actual wavefront feedback quantity can be measured in real time based on optical measurements, and the corresponding feedback compensation parameters can be calculated and determined. Alternatively, the actual wavefront feedback quantity can be measured in real time using a Shack-Hartmann wavefront sensor or an interferometer. Optionally, the compensation feedback parameters can be obtained through residual calculation and proportional-integral-derivative control, which can be expressed as:

[0148] Among them, Kp The proportional gain determines the weight of the proportional term, amplifying the current error value; K i The integral gain determines the weight of the integral term, and historical errors are accumulated to eliminate steady-state bias. The target value (set value) is the desired numerical value. The actual value is the current true measurement value of the controlled entity.

[0149] Optionally, the determined feedforward compensation parameters and feedback compensation parameters are fused to determine the dynamic compensation parameters for mapping image information, which can be expressed as: .

[0150] In this way, by combining static pre-compensation with dynamic feedback compensation, feedforward dominance is achieved when predicting deformation with high confidence, and feedback enhancement is achieved when environmental disturbances are unknown, which helps to achieve comprehensive correction of image information mapping errors.

[0151] c. AI-driven algorithm optimization Data-driven deformation prediction model: Input: All historical tensile strains, temperature T(t), humidity H(t).

[0152] Output: Phase error coefficient a within the next Δt time interval. m,n , b p,q .

[0153] Model architecture: - LSTM networks process time series data, while CNNs handle spatial distribution errors.

[0154] - Loss function: Mean squared error (MSE) combined with optical efficiency weights.

[0155] Reinforcement learning control strategies -State space: .

[0156] -Action space: piezoelectric drive voltage V, liquid crystal orientation angle θLC.

[0157] -Reward function: R = w1·Efficiency}+ w2·(1 - RMS error ) Among them, Efficiency is used to measure the system's energy efficiency or task completion rate; RMS error (root mean square error) is used to quantify the deviation between the actual wavefront value and the target wavefront value; w1 and w2 are preset weighting coefficients.

[0158] - Training framework: PPO (Proximal Policy Optimization) algorithm, simulation environment based on FDTD and COMSOL multiphysics coupling.

[0159] Based on the same inventive concept as the foregoing embodiments, this embodiment of the invention provides a computing device, such as... Figure 3 As shown, the computing device includes: a processor 210 and a memory 211 storing computer programs; wherein, Figure 3 The processor 210 shown in the diagram does not refer to a single processor 210, but rather to its positional relationship relative to other devices. In practical applications, there can be one or more processors 210. Figure 3 The memory 211 illustrated in the diagram has the same meaning, that is, it is only used to indicate the positional relationship of memory 211 relative to other devices. In practical applications, there can be one or more memories 411. When the processor 210 runs the computer program, the above-described touch interaction method is implemented.

[0160] The computing device may also include at least one network interface 212. The various components of the computing device are coupled together via a bus system 213. It is understood that the bus system 213 is used to implement communication between these components. In addition to a data bus, the bus system 213 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 3 The general designated all buses as Bus System 213.

[0161] The memory 211 can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), ferromagnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disc, or compact disc read-only memory (CD-ROM); magnetic surface memory can be disk storage or magnetic tape storage. Volatile memory can be random access memory (RAM), used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), SyncLink Dynamic Random Access Memory (SLDRAM), and Direct Rambus Random Access Memory (DRRAM).The memory 211 described in the embodiments of the present invention is intended to include, but is not limited to, these and any other suitable types of memory.

[0162] The memory 211 in this embodiment of the invention is used to store various types of data to support the operation of the computing device. Examples of this data include: any computer programs used to operate on the computing device, such as operating systems and applications; contact data; phonebook data; messages; pictures; videos, etc. The operating system includes various system programs, such as the framework layer, core library layer, driver layer, etc., used to implement various basic services and handle hardware-based tasks. Applications can include various applications, such as media players, browsers, etc., used to implement various application services. Here, the program implementing the method of this embodiment of the invention can be included in the application.

[0163] Based on the same inventive concept as the foregoing embodiments, this embodiment also provides a computer-readable storage medium storing a computer program. The computer-readable storage medium can be a magnetic random access memory (FRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory, a magnetic surface memory, an optical disc, or a compact disc read-only memory (CD-ROM), etc.; it can also be various devices including one or any combination of the above-mentioned memories, such as mobile phones, computers, tablet devices, personal digital assistants, etc. When the computer program stored in the computer-readable storage medium is executed by a processor, it implements the touch interaction method applied to the aforementioned computing device. For the specific steps implemented when the computer program is executed by the processor, please refer to [link to relevant documentation]. Figure 2 The description of the illustrated embodiments will not be repeated here.

[0164] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0165] In this document, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, which includes not only the elements listed but also other elements not expressly listed.

[0166] The above description is merely a specific embodiment 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 multi-layer composite intelligent interactive surface, applied to automotive interior surfaces, characterized in that, include: The substrate layer is bonded to the surface of the automotive interior. A touch layer is disposed on the substrate layer, and a gesture recognition sensor is provided in the touch layer for receiving gesture information obtained based on a target image on the surface of the automotive interior; A display layer, disposed on the touch layer, is used to display image information; An optical layer, disposed on the display layer, is used to perform dynamic phase compensation on the image information to obtain the target image; The surface layer, disposed on the optical layer, is configured as a light-transmitting layer.

2. The multi-layer composite intelligent interactive surface according to claim 1, characterized in that, The touch layer is also provided with a capacitive proximity sensor for receiving confirmation information of the gesture information; the gesture recognition sensor receives the gesture information when it detects the confirmation information.

3. The multi-layer composite intelligent interactive surface according to claim 1, characterized in that, The display layer is equipped with micro light-emitting diodes (LEDs), which are used to display image information.

4. The multi-layer composite intelligent interactive surface according to claim 1, characterized in that, The optical layer is provided with a nanopillar array, which is used to perform dynamic phase compensation on the phase of the incident light wave of the image information to obtain the target image.

5. The multi-layer composite intelligent interactive surface according to claim 1, characterized in that, The surface layer has multiple apertures for light transmission, and the apertures are arranged in a preset golden angle distribution direction.

6. A touch interaction method, applied to the multi-layer composite smart interactive surface according to any one of claims 1-5, comprising: Image information is displayed through the display layer; The displacement compensation parameters and the mapping compensation parameters of the image information are determined by the optical layer. Based on the displacement compensation parameters and the mapping compensation parameters, determine the target image to be displayed on the automotive interior surface; The touch layer receives gesture information based on the target image obtained on the surface of the car interior.

7. The method according to claim 6, characterized in that, The step of determining the displacement compensation parameters of the image information through the optical layer includes: In response to the electrically driven signal received by the optical layer, the relative displacement of the nanopillar array perpendicular to the substrate layer is determined; Based on the relative displacement, displacement compensation parameters for adjusting the height of the nanopillar array are determined.

8. The method according to claim 6, characterized in that, The mapping compensation parameters include stretching compensation parameters, environmental error compensation parameters, and dynamic compensation parameters; the mapping compensation parameters for determining the image information through the optical layer include at least one of the following: Determine the deformation parameters of the surface layer, and determine the stretching compensation parameters for mapping the image information based on the deformation parameters; Based on the aperture data of the surface layer and the actual offset data for mapping the image information, the environmental error compensation parameters for mapping the image information are determined. The feedback compensation parameters are determined based on the actual phase parameters used to map the image information, and the dynamic compensation parameters for mapping the image information are determined based on the preset feedforward compensation parameters and the feedback compensation parameters.

9. The method according to claim 8, characterized in that, The step of determining the deformation parameters of the surface layer and determining the stretching compensation parameters for mapping the image information based on the deformation parameters includes: Determine the deformation parameters of the surface layer under tension, and analyze the deformation parameters and preset target mapping data to determine the position offset of the surface layer where deformation occurs; The compensation parameters for the single nanopillar in the optical layer are determined based on the position offset. Based on the compensation parameters of the single nanopillar, stretching compensation parameters for mapping the image information are determined.

10. The method according to claim 8, characterized in that, The step of determining the environmental error compensation parameters for mapping the image information based on the aperture data of the surface layer and the actual offset data for mapping the image information includes: Based on the aperture data of the surface layer and the actual offset data of the image information mapped onto the surface layer, the first phase error component of the symmetric characteristic and the second phase error component of the asymmetric characteristic are determined. Based on the first phase error component and the second phase error component, environmental error compensation parameters for mapping the image information are determined.

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