Self-cleaning liquid crystal display system based on nanostructure enhancement

Abstract

The present invention provides a self-cleaning liquid crystal display system based on nanostructure enhancement, which relates to the technical field of liquid crystal display screens. The self-cleaning liquid crystal display system includes a liquid crystal display panel, a reconfigurable surface phonon polariton regulation layer, a pollutant identification module, an excitation source module, a central control processing unit and an energy recovery module. By dynamically tuning the surface phonon polariton resonance characteristics of the micro-nanostructure units of the reconfigurable surface phonon polariton regulation layer, selective resonance coupling occurs with the target pollutants detected by the pollutant identification module, and is selectively activated by the excitation source. The highly selective energy transfer generated by the resonance causes molecular decomposition or generates field gradient forces to achieve physical effects such as particle exfoliation and migration, thereby efficiently and intelligently removing pollutants. At the same time, an integrated energy recovery module collects panel waste heat and converts it into drive energy to assist system operation and improve energy efficiency, thereby solving the problems of poor selectivity, low efficiency, high energy consumption and screen damage in traditional technologies.

Description

Technical Field

[0001] The present invention relates to the technical field of liquid crystal display screens, in particular to a self-cleaning liquid crystal display screen system based on nanostructure enhancement. Background Art

[0002] According to Chinese patent number "CN115469742A," a VR device display system and its autonomous cleaning method include: an optical module, a liquid crystal display, and an autonomous cleaning structure; the autonomous cleaning structure includes a transparent photosensitive module located between the optical module and the liquid crystal display, an ultrasonic motor mechanism located on the central axis of the liquid crystal display, and a processing unit; wherein the transparent photosensitive module is used to perform global illumination detection on the liquid crystal display on a local basis after the liquid crystal display emits a decontamination detection light; the processing unit is used to determine whether there is dirt in a local area of ​​the liquid crystal display based on the detection data of the transparent photosensitive module; the ultrasonic motor mechanism is used to shake the liquid crystal display after the processing unit determines that there is dirt in a local area of ​​the liquid crystal display. This can realize the autonomous cleaning function of the VR device display system, allowing it to maintain a clear display working state for a long time, solving the problem of traditional VR devices being unable to clean the screen.

[0003] According to Chinese patent number "CN108663833A," a self-cleaning outdoor liquid crystal display screen is disclosed. The outer layer of the liquid crystal display panel assembly of this liquid crystal display screen is provided with a glass cover plate. The outer surface of the glass cover plate has been modified and a self-cleaning coating is also provided on the outer surface of the glass cover plate. The outer surface of the glass cover plate is modified by pickling, water washing, and coating. The coating materials used include: tetraethoxysilane, titanium tetraisopropoxide, ferric chloride, silicon dioxide, hydrofluoric acid, and a mixed solvent. The self-cleaning coating used in the preparation of the self-cleaning coating includes: silica sol, polyvinyl pyrrolidone, silane coupling agent, nano-molybdenum trioxide, nano-zirconium dioxide, nano-cobalt oxide, and an organic solvent. The display screen has excellent self-cleaning properties, and dust and stains are not easily attached to the display surface, thereby significantly reducing the cleaning and maintenance costs of outdoor liquid crystal display screens.

[0004] The above patent documents and prior art have the following technical problems when used:

[0005] Problem 1: Traditional self-cleaning methods lack selectivity for different types of pollutants. They typically adopt a "one-size-fits-all" approach, lacking the ability to actively remove pollutants and the ability to identify and treat them in a targeted manner, resulting in energy waste or poor cleaning results.

[0006] Second, traditional self-cleaning coatings, such as superhydrophobic or superoleophobic coatings, primarily prevent contaminants from adhering or rolling off by reducing surface energy. However, they have limited ability to remove adhered oily stains, dried sugary liquid residues, or tightly adsorbed tiny particles, and lack the ability to actively remove them.

[0007] Question three: Some experimental active cleaning technologies use overall heating, ultrasonic screen vibration, mechanical wiping and chemical cleaning agents, which have high energy consumption and can easily scratch or corrode the screen surface or accelerate material aging, which can easily have a negative impact on the life of the display or user experience. They lack fine control and intelligent management of the cleaning process and cannot perform cleaning on demand, locally and in an energy-saving manner. Summary of the Invention

[0008] Technical Solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions: a self-cleaning liquid crystal display system based on nanostructure enhancement, the self-cleaning liquid crystal display system includes a liquid crystal display panel, a reconfigurable surface phonon polariton control layer, a pollutant identification module, an excitation source module, a central control processing unit and an energy recovery module, wherein;

[0010] The reconfigurable surface phonon polaritons control layer is provided on the optical surface of the liquid crystal display panel. The reconfigurable surface phonon polaritons control layer comprises a plurality of independently addressable micro-nanostructure units, the materials and structural parameters of which can be changed in response to external control signals to dynamically tune the resonant characteristics of their surface phonon polaritons.

[0011] The contaminant identification module is used to detect the type or characteristic parameters of contaminants on the optical surface;

[0012] The excitation source module is used to provide energy to the micro-nanostructure unit to excite surface phonon polaritons;

[0013] The central control processing unit is coupled to the reconfigurable surface phonon polariton control layer, the pollutant identification module, and the excitation source module, and is used to control the material and structural parameters of the micro-nanostructure unit to tune its surface phonon polariton resonance characteristics to selectively resonate with the target pollutant based on the detection results of the pollutant identification module, and control the excitation source module to selectively activate the micro-nanostructure unit in the target area to remove the pollutant through the physical effect generated by the selective resonant coupling;

[0014] The energy recovery module is used to collect waste heat generated when the liquid crystal display panel is working, and partially convert it into part of the energy required to drive the excitation source module and tune the micro-nano structure unit.

[0015] Preferably, the micro-nano structure unit adopts polar crystal materials and state-adjustable materials, and the state-adjustable materials are selected from phase change materials, two-dimensional materials, and electro-optical materials. The phase change material is either vanadium oxide or sulfur compounds. The central control processing unit accurately controls the phase state, carrier concentration, and geometric configuration of the state-adjustable material by applying electrical signals, local illumination, and thermal pulses, thereby dynamically and reversibly tuning the surface phonon polariton resonant frequency, near-field intensity, and spatial distribution of the micro-nano structure unit.

[0016] Preferably, the pollutant identification module includes either an integrated micro-spectral analysis sensor array or a terahertz near-field imaging sensor, which is used to quickly obtain characteristic vibration absorption spectrum information of pollutants attached to the optical surface and dielectric property information in the mid-infrared and terahertz bands.

[0017] Preferably, when the selective resonant coupling is directed against organic pollutants, strong resonant coupling is achieved by tuning the resonant frequency of the surface phonon polaritons to the specific molecular vibration mode of the organic pollutant molecules, thereby transferring highly selective and high energy density energy to the interior of the pollutant molecules, resulting in the breaking of chemical bonds and structural decomposition of the organic pollutant molecules.

[0018] Preferably, when the selective resonant coupling is directed to inorganic particles, the enhanced near-field generated by the tuned surface phonon polaritons is localized near the inorganic pollutant particles to form a strong local electromagnetic field gradient, and either the photophoretic force or the dielectrophoretic force is used to exert a controllable nanoscale mechanical repulsive force and pulling force on the inorganic pollutant particles, thereby peeling them off the surface and directional migrating them to a preset collection area.

[0019] Preferably, the excitation source module is an addressable mid-infrared light source array or a terahertz radiation source array, the emission wavelength of which matches the surface phonon polariton resonance frequency of the micro-nano structure unit.

[0020] Preferably, the reconfigurable surface phonon polariton regulation layer has high transmittance in the visible light band, and its structural design takes into account both anti-reflection and structural color rendering functions. The arrangement and addressing method of the micro-nano structural units allow for selective cleaning of target contaminated areas with submillimeter precision.

[0021] Preferably, the central control processing unit adopts a machine learning-based algorithm to optimize the tuning strategy and excitation parameters of the surface phonon polariton resonance characteristics according to the pollutant database and real-time sensor data.

[0022] Preferably, the dynamic self-cleaning method of the self-cleaning liquid crystal display system comprises the following steps:

[0023] Sp1: Detecting the type and characteristic parameters of contaminants on the optical surface of the liquid crystal display panel through the contaminant identification module;

[0024] Sp2: The central control processing unit determines the target area to be cleaned based on the type and characteristic parameters of the detected pollutants, and instructs the micro-nanostructure units corresponding to the target area in the reconfigurable surface phonon polariton control layer to change their material or structural parameters to tune their surface phonon polariton resonance characteristics so that they can selectively resonate and couple with the pollutants;

[0025] Sp3: The central control processing unit instructs the excitation source module to selectively activate the micro-nanostructure units in the target area to excite surface phonon polaritons;

[0026] Sp4: utilizing the physical effect of the selective resonance coupling described in step Sp2 to remove the pollutants in the target area.

[0027] Beneficial effects

[0028] The present invention provides a self-cleaning liquid crystal display system based on nanostructure enhancement. It has the following beneficial effects:

[0029] 1. The present invention adopts a pollutant identification module that can accurately detect and identify the specific chemical composition, physical form and spatial distribution of pollutants on the optical surface of the liquid crystal display in real time, and realize accurate identification and characterization of the types of pollutants attached to the surface of the display. Based on the identification results, the system can dynamically tune the resonant characteristics of the reconfigurable surface phonon polariton control layer on demand, so that it can selectively resonate and couple with specific pollutants, thereby achieving highly selective treatment and active targeted removal of different types of pollutants, with strong cleaning selectivity. This targeted treatment mechanism significantly improves the cleaning efficiency and effect, and avoids the shortcomings brought about by a "one-size-fits-all" approach.

[0030] 2. The present invention adopts an active, energy-based cleaning mechanism rather than relying solely on changing the static physical and chemical properties of the surface. After being tuned by the central control processing unit and excited by the excitation source module, the reconfigurable surface phonon polariton control layer can produce a strong, highly localized physical effect at the interface between the pollutant and the screen or inside the pollutant. This enables the system to actively act on already adhered pollutant molecules or tightly adsorbed particulate matter, causing molecular decomposition through highly selective energy transfer or achieving particle peeling through controllable nanoscale mechanical forces. This changes the situation where traditional coatings are "powerless" or ineffective when facing already adhered pollutants, and achieves effective removal of various stubborn stains and tightly adsorbed particles. The cleaning ability and range far exceed those of passive self-cleaning technologies that rely on surface energy regulation.

[0031] 3. The present invention adopts a pollutant identification module to trigger the cleaning process only when actual pollution is detected and the cleaning threshold is reached, and the cleaning effect is strictly limited to the contaminated micro-nanostructure unit area, rather than indiscriminately treating the entire screen. Secondly, the energy utilization efficiency is extremely high and the effect is mild, and the energy transfer is highly selective, avoiding large-area heating or violent vibration of the entire screen substrate. The system does not use any chemical cleaning agents, eliminating the risk of corrosion. The central control processing unit is combined with a machine learning algorithm to finely control and optimize the tuning parameters of the surface phonon polaritons, the power, pulse width, duration, etc. of the excitation source, ensuring the best cleaning effect in the shortest time with the lowest energy consumption, and further reducing the net energy consumption of the system through the introduction of the energy recovery module, greatly reducing the energy consumption during the active cleaning process, achieving true energy-saving cleaning, and ensuring the long-term service life of the display and the stability of the optical performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a system architecture diagram of the present invention;

[0033] Figure 2 It is a workflow diagram of the present invention;

[0034] Figure 3 This is a diagram of the system hardware structure of the present invention. DETAILED DESCRIPTION

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention. Specific embodiment one:

[0037] like Figures 1 to 3 As shown, a self-cleaning liquid crystal display system based on nanostructure enhancement includes a liquid crystal display panel, a reconfigurable surface phonon polariton control layer, a pollutant identification module, an excitation source module, a central control processing unit and an energy recovery module, wherein;

[0038] A reconfigurable surface phonon polariton control layer is provided on the optical surface of the liquid crystal display panel. The reconfigurable surface phonon polariton control layer includes a plurality of independently addressable micro-nanostructure units. The materials and structural parameters of the micro-nanostructure units can change in response to external control signals to dynamically tune the resonant characteristics of their surface phonon polaritons. The micro-nanostructure units use polar crystal materials and state-adjustable materials. The state-adjustable materials are selected from phase change materials, two-dimensional materials, and electro-optical materials. The phase change material is either vanadium oxide or a sulfur compound. The central control processing unit precisely controls the phase state, carrier concentration, and geometric configuration of the state-adjustable material by applying electrical signals, local illumination, and thermal pulses, thereby dynamically and reversibly tuning the surface phonon polariton resonant frequency, near-field intensity, and spatial distribution of the micro-nanostructure units.

[0039] The reconfigurable surface phonon polaritons control layer directly interacts with pollutants and achieves targeted removal of pollutants by dynamically configuring the coupling state of its optical phonons and electromagnetic fields, namely the resonant characteristics of surface phonon polaritons (SPhP). The basic material of this layer is a polar crystal film with significant optical phonon activity in the mid-infrared to terahertz band. Ideal materials include but are not limited to single-crystal silicon carbide, especially 4H or 6H types, which have a wavelength of about 780 cm -1 Up to 970cm -1 It has a strong radiation band in the mid-infrared range, supporting efficient SPhP excitation. Another high-quality choice is aluminum oxide sapphire, which has multiple phonon modes in a wider mid-infrared band. Hexagonal boron nitride, as a natural hyperbolic material, has highly confined and low-loss SPhPs and performs well in specific frequency ranges. The selection of these materials should consider the potential for matching their phonon vibration frequency with the vibration absorption peaks of common pollutant molecules, mechanical strength, chemical stability, and process compatibility with subsequent state-tunable materials.

[0040] In order to achieve dynamic reconfiguration of the resonant characteristics of SPhP, state-tunable materials will be integrated on or within the polar crystal material substrate. The state-tunable materials are selected from phase change materials, two-dimensional materials, and electro-optical materials. Among them, the phase change material uses vanadium oxide or chalcogenide glass compounds. Vanadium oxide undergoes a phase transition from insulator to metal at about 68 degrees Celsius, and its dielectric constant changes drastically, thereby significantly changing the dispersion and local field strength of SPhP. In the insulating state, its carrier concentration is low and has little effect on SPhP. In the metallic state, the high carrier concentration makes it exhibit metal-like properties, which will significantly change the dispersion relation, propagation length and local field enhancement factor of SPhP. Through a micro-resistive heater array or selective laser irradiation, the phase state of vanadium oxide micro-regions can be precisely controlled to achieve the regulation of SPhP "on" or "off" or intermediate states. Chalcogenide glass compounds can be reversibly switched between amorphous and crystalline phases by nanosecond electric pulses or laser pulses. The dielectric constants of the two phases are The differences are enormous and can also be used to effectively tune SPhPs. Two-dimensional materials include graphene and molybdenum disulfide. Graphene, due to its unique Dirac cone band structure, has a Fermi level, or carrier concentration, that can be regulated significantly and rapidly by applying a gate voltage, thereby changing its conductivity and plasmon properties in the mid-infrared or terahertz bands. When graphene is coupled to a polar substrate, SPhP, a surface plasmon-phonon polariton hybrid mode is formed. Manipulating the Fermi level of graphene can effectively control the resonant frequency, intensity, and damping of this hybrid mode. The exciton or plasmon properties of molybdenum disulfide can also be controlled by gate voltage or doping and coupled to the SPhP. Electro-optical materials use ferroelectric materials such as lithium niobate or barium titanate, whose refractive index varies linearly or squarely with the intensity of the applied electric field. By using these materials as part of the SPhP control layer, the propagation environment of the SPhP can be altered by applying a local electric field, thereby tuning its resonant properties.

[0041] The control layer is designed to be an array composed of a large number of micro-nanostructure units, each of which can independently control its SPhP characteristics. The typical size of the unit ranges from tens of microns to hundreds of microns, matching the spatial resolution of the pollutant identification module to achieve sub-millimeter precision cleaning. The geometry of the micro-nanostructure unit is carefully designed to optimize the excitation efficiency, field localization capability and tuning range of SPhP. Common structures include: one-dimensional grating structure, two-dimensional metasurface structure and dynamically reconfigurable MEMS structure. Among them, the one-dimensional grating structure is to etch periodic grooves on the surface of the polar crystal or deposit periodic metal or state-adjustable material strips. The SPhP is tuned by changing the grating period, duty cycle or strip material parameters. The two-dimensional metasurface structure is composed of a periodic or non-periodic arrangement of sub-wavelength-sized resonant units. The geometric parameters of each resonant unit are Both the number and material composition can be designed to achieve fine control of SPhP. State-tunable materials can be used as part of the resonant unit or fill its gap. Dynamically reconfigurable MEMS structures are micro-electromechanical systems (MEMS) technology that can be used to manufacture micro-nanostructures with movable parts. That is, tiny cantilevers or thin films are driven by electrostatic forces to change their coupling distance or geometry with the SPhP substrate, thereby tuning the SPhP. Independent control of each micro-nanostructure unit is achieved through a transparent conductive electrode network integrated underneath or inside it. For electrically controlled state-tunable materials, a cross-array of transparent electrodes is used to achieve precise voltage or current application to each unit. For thermally controlled state-tunable materials, an array of micro-resistive heaters is integrated, also using a cross-addressing method. Optically controlled materials are selectively irradiated by an addressable micro-light source array or a spatial light modulator.

[0042] The specific physical mechanism of SPhP tuning: The central control processing unit applies precise control signals to the selected micro-nanostructure units through the addressing electrode network. For the graphene-silicon carbide hybrid system, changing the gate voltage applied to the graphene will cause its Fermi level to move within the range of several hundred millielectronvolts. The change in the Fermi level directly affects the optical conductivity spectrum of graphene, especially the plasmon frequency and damping of the Drude response. Due to the strong coupling between the graphene plasmon and the SPhP mode of silicon carbide, the change in graphene conductivity will significantly change the dispersion curve of the hybrid mode, resulting in a shift of its resonant frequency by tens to hundreds of wavenumbers, while its quality factor and near-field enhancement are also significantly affected. The vanadium oxide unit undergoes a localized heat pulse, causing its temperature to cross the phase transition point, causing its dielectric constant to suddenly change from a low value in the insulating state to a large negative value in the metallic state. This drastic change destroys or significantly alters the conditions that originally supported the SPhP, thereby turning the SPhP mode "on" or "off," or shifting its resonant frequency out of the target range. The central control processing unit precisely alters the phase, carrier concentration, or geometric configuration of the state-tunable material by controlling the electrical signal, localized light, or heat pulse applied to specific micro-nanostructure units. These changes lead to dynamic and reversible changes in the dispersion relation, resonant frequency, quality factor, near-field intensity, and spatial distribution of the SPhP.

[0043] The reconfigurable surface phonon polariton control layer has high transmittance in the visible light band, and its structural design takes into account both anti-reflection and structural color rendering functions. The arrangement and addressing method of the micro-nano structural units allow for selective cleaning of target contaminated areas with submillimeter precision. Among them, the polar crystal materials, state-adjustable materials and transparent conductive electrodes selected for the SPhP control layer have low absorption and scattering in the visible light band (400-700nm). By optimizing the thickness and interface of each layer and introducing an anti-reflection structure, the total transmittance of the entire control layer in the working band is ensured to reach more than 90%, preferably In most cases, the brightness and color performance of the liquid crystal display exceeds 95%. Without sacrificing the brightness and color performance of the liquid crystal display, the subwavelength periodic arrangement of the micro-nano structural units can itself form an equivalent dielectric layer. By designing its equivalent refractive index gradient, a broadband anti-reflection effect similar to the "moth eye" structure can be achieved, thereby reducing screen glare and improving contrast. The specifically designed periodic micro-nano structure will exhibit a specific color due to diffraction or resonant scattering under visible light. By incorporating such a design into the SPhP control layer, the display border or specific area can be given a decorative color without adding additional dyes or filters, and can even be used for status indication.

[0044] A contaminant identification module, used to detect the type or characteristic parameters of contaminants on optical surfaces. The contaminant identification module includes either an integrated micro-spectral analysis sensor array or a terahertz near-field imaging sensor, which is used to quickly obtain characteristic vibration absorption spectrum information of contaminants attached to the optical surface, as well as dielectric properties in the mid-infrared and terahertz bands;

[0045] This module gives the system the ability to perceive, and detect the type, concentration or thickness and spatial distribution of pollutants on the surface of the display screen in real time or periodically, so that it can accurately identify the pollution status of the optical surface and provide a decision basis for subsequent targeted cleaning. The integrated micro-spectral analysis sensor array is composed of multiple micro-spectrometer units, covering different areas of the screen. Each unit contains a micro-light source, a micro-light source and a detector array. Among them, the micro-light source is a broadband mid-infrared light source or a multi-wavelength laser diode array, which is used to illuminate the surface to be measured. The dispersion element is a MEMS-driven tunable Fabry-Perot interferometer, which scans different wavelengths by changing the length of the microcavity, or a micro-concave grating, which disperses the reflected or absorbed light according to the wavelength. The detector array is a focal plane array detector, which uses an infrared detector array or a micro-pyroelectric or thermopile detector array. These detectors convert light signals of different wavelengths into electrical signals. The emitted mid-infrared light interacts with the pollutant molecules, and the light of a specific wavelength is absorbed by the vibration of the pollutant molecules. By analyzing the reflected spectrum The position, intensity, and shape of the absorption peak in the attenuated total reflection spectrum can be used to identify the functional groups of organic matter and thus infer the type of pollutant. Terahertz near-field imaging sensors use a terahertz pulse transmission and reception system based on a photoconductive antenna, or a continuous wave terahertz source combined with a Schottky diode detector. To achieve subwavelength spatial resolution, a sharp metal probe or subwavelength aperture is used to couple the terahertz wave to the sample surface and collect the near-field scattered signal. The probe and the sample surface are kept at a small distance and scanned. Terahertz waves are very sensitive to the dielectric constant of the material and can penetrate many non-polar dielectric materials. Different pollutants (i.e., water films, oil films, and tiny dust particles) have different complex dielectric constants in the terahertz band. By measuring the amplitude and phase changes after the terahertz wave interacts with the pollutant, an image of the dielectric properties of the pollutant can be constructed, thereby distinguishing the type of pollutant, estimating its thickness, and identifying pollutants hidden under other transparent coatings. Water has strong absorption in the terahertz band and is therefore particularly sensitive to water-containing pollution such as water stains and hand sweat.

[0046] The sensor array collects data from the screen surface in a preset scanning mode (i.e., line by line, area by area, or based on the key scanning of the last pollution hotspot). The acquisition frequency can be dynamically adjusted according to the system status and pollution level. The microcontroller embedded in the module performs preliminary processing on the original sensor signal. For spectral data, signal amplification, high-precision analog-to-digital conversion, dark current subtraction, noise filtering, baseline correction, and normalization are performed. Then, characteristic peak search, peak position precision positioning, peak area or peak height calculation are performed. For terahertz near-field data, signal demodulation, image reconstruction algorithm, contrast enhancement, edge detection, and average dielectric parameters, phase delay, reflection or transmission coefficient, etc. of the polluted area are extracted. The output data packet adopts a structured format and is transmitted to the central control processing unit through an internal high-speed serial interface or parallel bus. The data packet will contain: precise timestamp; the logical address or physical coordinate grid of the micro-nanostructure unit where contamination occurs; for each contamination point or area, provide the original or processed spectral data, characteristic parameters of the terahertz image; a list of preliminarily identified pollutant candidate category IDs and their corresponding confidence scores; estimated pollutant coverage area, average thickness or concentration level; and the sensor status code. The design goal is to be able to reliably detect organic pollutant films with a thickness of 10 nanometers to 50 nanometers or more, or single inorganic particles with a size of 1 micron to 10 microns or more. For spectral sensors, the detection limit corresponds to the minimum resolvable absorption peak intensity. The spatial resolution of pollutant identification is designed to match or slightly exceed the addressing accuracy of the SPhP micro-nanostructure unit, typically between 50 microns and 200 microns, to ensure that contamination can be accurately located and targeted cleaning can be performed.

[0047] An excitation source module, used to provide energy to the micro-nanostructure unit to excite surface phonon polaritons. The excitation source module is an addressable mid-infrared light source array or a terahertz radiation source array, whose emission wavelength matches the surface phonon polariton resonant frequency of the micro-nanostructure unit;

[0048] This module provides energy of specific frequency and intensity to the micro-nanostructure units in the reconfigurable SPhP control layer to efficiently excite SPhP. The light source types include addressable mid-infrared light source arrays and addressable terahertz radiation source arrays. The addressable mid-infrared light source array uses a quantum cascade laser microarray or a broadband mid-infrared LED array integrated with a microlens array in combination with a tunable filter. Quantum cascade lasers have the advantages of narrow linewidth, high power, and electrical tunability, making them very suitable for precisely matching the SPhP resonant frequency. The addressable terahertz radiation source array uses a frequency doubling method based on a photoconductive antenna or Schottky diode. The device has a solid-state terahertz source array. The emission wavelength or frequency range of the excitation source must cover the tunable resonance range of the SPhP control layer. The central control processing unit selects and controls the excitation source to emit energy of the corresponding frequency according to the tuning target of the SPhP. The central control processing unit can independently control the switching, output power and pulse duration of each micro-light source in the array, and accurately guide and focus the energy to the selected SPhP micro-nanostructure unit through the optical system. This module can be integrated into the frame of the LCD panel, a specific position of the backlight module, or directly manufactured under the SPhP control layer.

[0049] The central control processing unit is coupled to the reconfigurable surface phonon polariton control layer, the pollutant identification module, and the excitation source module. It is used to control the material and structural parameters of the micro-nanostructure unit to tune its surface phonon polariton resonance characteristics to selectively resonate with the target pollutant based on the detection results of the pollutant identification module, and to control the excitation source module to selectively activate the micro-nanostructure unit in the target area to remove the pollutant through the physical effect generated by the selective resonant coupling. The central control processing unit uses a machine learning-based algorithm to optimize the tuning strategy and excitation parameters of the surface phonon polariton resonance characteristics based on the pollutant database and real-time sensor data.

[0050] The central control processing unit is the intelligent core of the system. It is responsible for receiving information from each module, making analytical decisions, and issuing control instructions to coordinate the entire cleaning process. When selective resonant coupling is used for organic pollutants, strong resonant coupling is achieved by combining the resonant frequency of the tuned surface phonon polaritons with the specific molecular vibration mode of the organic pollutant molecules, and highly selective and high-energy-density energy is transferred to the interior of the pollutant molecules, resulting in chemical bond breaking and structural decomposition of the organic pollutant molecules. When selective resonant coupling is used for inorganic particulate matter, the enhanced near-field generated by the tuned surface phonon polaritons is localized near the inorganic pollutant particles to form a strong local electromagnetic field gradient. Either the photophoretic force or the dielectrophoretic force is used to exert controllable nanoscale mechanical repulsion and pulling force on the inorganic pollutant particles, thereby peeling them off the surface and migrating them in a directed manner to the preset collection area.

[0051] The energy recovery module is used to collect waste heat generated by the liquid crystal display panel during operation and convert it into part of the energy required to drive the excitation source module and tune the micro-nano structure unit;

[0052] This module is dedicated to improving the overall energy efficiency of the system by capturing the waste heat inevitably generated by the LCD panel during normal operation and converting part of it into usable electrical energy. The main source of waste heat is the LCD panel's backlight module, especially the LED array and its driver circuit, which is the main stable heat source. In addition, the panel's thin-film transistor array and display driver integrated circuit also generate heat during operation. The thermoelectric conversion device in the energy recovery module needs to achieve good thermal contact with these heat sources and form an effective temperature difference with the environment or the low-temperature part of the panel. This is achieved through high thermal conductivity interface materials and optimized heat dissipation path design.

[0053] Energy conversion mechanism: The core of thermoelectric conversion is the Seebeck effect. The thermoelectric conversion module consists of a large number of P-type and N-type semiconductor thermocouple arms connected in series. When a temperature difference exists between the two ends of the thermocouple (i.e., one end contacts a heat source and the other is exposed to a lower temperature environment or actively dissipates heat), carriers diffuse from the hot end to the cold end, generating an electromotive force. The selected thermoelectric material must have a high Seebeck coefficient, high electrical conductivity, and low thermal conductivity, that is, a high ZT value. Pyroelectric conversion is suitable for scenarios where the temperature fluctuates over time. The spontaneous polarization intensity of the pyroelectric material changes with temperature, causing the amount of bound charge on its surface to change, thereby generating current in the external circuit. This effect can be exploited when the LCD panel's workload or ambient temperature causes periodic or non-periodic temperature fluctuations. This effect requires charge collection and storage circuits. Ambient light energy harvesting involves integrating transparent or semi-transparent organic photovoltaic films or dye-sensitized solar cells in the display frame or non-display area to collect ambient light energy as a supplemental power source.

[0054] Energy management and intelligent storage: The voltage generated by the thermoelectric or pyroelectric effect through ultra-low-power DC-DC step-up or step-down converters is typically low and unstable, requiring an efficient DC-DC converter to boost or adjust it to the system's required operating voltage. A converter with maximum power point tracking (MPPT) can extract the maximum available power from the energy conversion device, especially when the input energy fluctuates. The power management integrated circuit manages the power from the energy recovery module, the main power supply, and possible other auxiliary power sources, intelligently distributing it to various subsystems and monitoring the status of the energy storage device. Thin-film lithium-ion batteries are small in size and have high energy density, making them suitable for storing a certain amount of recovered energy to support short-term standby or low-power operation when the main power supply is disconnected. Supercapacitors, with their extremely high charge and discharge rates and long cycle life, are suitable for storing the low-power but continuous energy generated by thermoelectric conversion and quickly releasing it to operations with higher instantaneous power consumption when needed.

[0055] Energy output allocation: The central control processing unit dynamically adjusts energy allocation based on the current system's total power consumption, the power demand priority of each module, and the real-time power generation and energy storage status of the energy recovery module. Priority is given to ensuring the low-frequency standby inspection of the pollutant identification module, the central control processing unit's own ultra-low power standby mode, the real-time clock, and other components that maintain basic system operations. When sufficient recovered energy is available, it can provide peak power supplementation for the electronic control drive during the SPhP tuning process, the active operation of some sensors, and even for cleaning tasks with lower power requirements of the excitation source module, thereby reducing the consumption of the main battery, extending the device's battery life, or lowering operating costs.

[0056] By integrating a reconfigurable surface phonon polaritons regulation layer, a high-precision pollutant identification module, an addressable excitation source module and an intelligent central control processing unit, supplemented by an energy recovery module, the system achieves accurate perception and active, targeted removal of pollutants on the display surface. By utilizing the physical effects produced by the selective resonance of surface phonon polaritons with pollutants, namely molecular decomposition or field gradient force, the system can efficiently handle various types of stains and particles, which improves the selectivity, efficiency and thoroughness of cleaning. At the same time, it reduces energy consumption through local action and energy recovery, reducing potential damage to the screen. Specific embodiment two:

[0058] like Figures 1 to 3 As shown, based on the content in the above specific embodiments, the following contents are further disclosed:

[0059] The operation of the entire system is a smooth process. The following is the specific operation process of the system dynamic self-cleaning method:

[0060] Initial state: standby and passive monitoring stage;

[0061] The system is in a low-power standby state most of the time. The pollutant identification module quickly scans or samples key areas of the screen at an extremely low frequency or when triggered by specific events such as after the LCD screen is turned off, the user touch operation ends, or the built-in accelerometer detects that the device has stopped moving. The energy recovery module works continuously to provide energy for standby and low-frequency monitoring.

[0062] Sp1: Pollutant identification and assessment stage:

[0063] When passive monitoring finds that the pollutants exceed the preset "attention threshold", or the user manually starts the cleaning program, or the preset timed cleaning cycle arrives, the central control processing unit wakes up the pollutant identification module and enters high-precision, full-screen or key area scanning mode. The sensor collects detailed data of each area, and the module's built-in processor performs preliminary processing on the raw data and transmits the processed data to the central control processing unit.

[0064] Sp2: Clean Decision and SPhP Tuning Phase:

[0065] The central control processing unit receives and analyzes data from the contaminant identification module. Combining a built-in contaminant database containing the spectral or dielectric characteristics of various common contaminants with a machine learning model, the unit accurately identifies the contaminant type, estimates its concentration or thickness, and generates a high-resolution contaminant distribution map to identify target areas for cleaning. Based on the contaminant type, the unit selects the appropriate cleaning mechanism, which may be molecular vibrational resonance decomposition of organic matter, field gradient force manipulation of inorganic particles, or a combination of the two in a sequential or hybrid mode. The unit also considers contaminant concentration, adhesion strength, and distribution to determine cleaning priority, SPhP excitation intensity, exposure time, and other parameters. Based on the selected cleaning mechanism and the characteristics of the target contaminant, the central control processing unit calculates the optimal SPhP resonance parameters. The unit then issues control commands to the reconfigurable SPhP control layer, instructing the micro-nanostructure units in the specific target area to change the parameters of their state-tunable materials so that the SPhP resonance characteristics of these units are precisely tuned to the calculated target state, preparing for selective resonant coupling with the contaminant. The central control processing unit receives feedback signals from the SPhP control layer to confirm the successful completion of the tuning operation.

[0066] Sp3:SPhP incentive and clean execution phase:

[0067] After the SPhP is tuned, the central control processing unit instructs the excitation source module. According to the instructions of the central control processing unit, the excitation source module emits mid-infrared light or terahertz waves of specific frequency, intensity and duration to the micro-nanostructure units in the tuned target area to excite the SPhP. The excited SPhP undergoes strong selective resonant coupling with the target pollutant, producing the expected physical effect. The central control processing unit can monitor the cleaning effect in real time or intermittently through the pollutant identification module, and dynamically adjust the excitation parameters based on feedback to optimize the effect or avoid over-processing.

[0068] Sp4: Cleaning completion assessment and system status recovery phase:

[0069] After the excitation is completed, the pollutant identification module re-inspects the cleaned area to evaluate whether the cleaning effect reaches the preset "cleaning threshold". When the cleaning meets the standard, the central control processing unit records the cleaning results, updates the pollutant database and machine learning model, and the SPhP micro-nanostructure unit returns to the default optical state. The system returns to the initial standby and passive monitoring stage. When the cleaning does not meet the standard, if the properties of the residual pollutants change, that is, the large molecules are decomposed into small molecules but there are still residues, the central control processing unit can re-enter Sp2 and adjust the cleaning strategy for additional cleaning. If the same strategy is not effective, the central control processing unit may determine that it is a stubborn pollutant or the system parameters need to be calibrated, record the problem and prompt the user or mark it in the maintenance log. The system stores the parameters, energy consumption, effect and other data of this cleaning operation in the log for long-term performance analysis and algorithm optimization.

[0070] In the above Sp2, the corresponding cleaning mechanism is selected according to the type of pollutant. The following is its core cleaning mechanism:

[0071] For organic pollutants: selective resonance molecular vibration excitation and decomposition;

[0072] The pollutant identification module identifies organic pollutants and analyzes their characteristic molecular vibration absorption peaks in the mid-infrared band. The central control processing unit controls the SPhP regulation layer to accurately tune the SPhP resonance frequency of the micro-nanostructure unit in the target area to match one or more characteristic vibration frequencies of the pollutant molecule. The excitation source module emits mid-infrared light of the corresponding frequency to excite the SPhP. Due to the strong near-field enhancement effect of the SPhP, an extremely strong local electromagnetic field is formed at the location of the pollutant molecule. When the SPhP resonance frequency matches the vibration frequency of the pollutant molecule, a strong resonant energy transfer occurs, and the energy of the SPhP is efficiently and effectively transferred to the pollutant molecule. Selectively pumping energy onto specific vibrational modes of pollutant molecules causes their amplitude to increase dramatically. Continuous energy pumping causes the molecular vibrational energy levels to rise too high, exceeding the dissociation threshold of chemical bonds. This directly breaks the chemical bonds and decomposes large organic molecules into small molecular fragments, namely gaseous substances or small molecules that are easily volatile and can be easily carried away by weak airflow. This process highly concentrates energy on the pollutant molecules themselves, causing minimal thermal damage to the SPhP control layer substrate and LCD panel, achieving "precision strike." The central control processing unit must precisely control the frequency, intensity, pulse width, and duration of the excitation light to ensure effective decomposition of pollutants without excessive heating.

[0073] For inorganic particles: selective resonance field gradient force manipulation;

[0074] The pollutant identification module identifies inorganic particles and obtains information about their size, shape, and approximate dielectric constant. The central control processing unit controls the SPhP control layer to tune the SPhP resonance characteristics of the micro-nanostructure unit in the target area to generate a local electromagnetic field gradient with a specific direction and intensity near the particles. The near-field of the SPhP itself has strong spatial inhomogeneity. When the excitation source module excites the SPhP and uses dielectrophoretic force, the dielectric particles will be affected by force in the non-uniform electric field. The strong near-field gradient generated by the SPhP is a high-frequency non-uniform electric field. Depending on the difference in dielectric constant between the particles and the surrounding medium and the direction of the field gradient, the particles will be subjected to a force pointing to the maximum or minimum field strength. By precisely designing the SPhP mode, a controllable repulsive or pulling force can be generated. When using photophoretic force, a temperature gradient will be generated on the surface of the particles that absorb SPhP energy, causing the surrounding gas molecules to collide with them unevenly, thereby generating a force. This effect also exists when there is a small amount of background gas. By controlling the propagation direction of the SPhP mode, the position of the standing wave node or the field gradient distribution, the central control processing unit can drive these nanoscale mechanical forces to "push away", "pull away" or "lift" the inorganic particles from the surface of the display screen. The SPhP regulation layer can be designed with a specific "channel" or "potential well" structure to guide the stripped particles to the micro-collection groove at the edge of the screen or discharge the system through a specific mechanism. The central control processing unit needs to control the type of SPhP mode, the intensity and direction of the field gradient, and the excitation duration to achieve stable manipulation of the particles.

[0075] The system determination scheme and control logic in the above operation process include the following:

[0076] Pollution threshold determination scheme: The multi-level threshold includes a concern threshold, a cleaning start threshold, and a cleaning pass threshold. When the pollutant coverage or signal strength reaches the concern threshold, the system is triggered to switch from passive monitoring to active fine-grained detection and evaluation. When the pollutant reaches the cleaning start threshold and meets the cleaning conditions, that is, the device is idle and has sufficient power, the cleaning process is automatically started. This threshold can be higher than the "concern threshold". After the cleaning operation, if the pollutant residue is lower than the cleaning pass threshold, the cleaning is considered complete. Each threshold can be dynamically adjusted. Based on user preferences, users can set "high cleanliness" and "energy saving" modes corresponding to different thresholds. Based on usage scenarios, before demonstrating important content, the system can automatically adopt a stricter cleaning threshold. Based on machine learning, the threshold is dynamically optimized according to historical cleaning results and user feedback. The threshold in the center area of ​​the screen can be set more stringently than that in the edge area.

[0077] Cleaning mode selection control logic: Input the pollutant type, concentration, and distribution output by the pollutant identification module. When the pollutants are mainly Class A organic matter, select the SPhP molecular vibration resonance decomposition mode for the characteristic absorption peak of Class A organic matter. When the pollutants are mainly Class B inorganic particles, select the SPhP field gradient force control mode for the size and dielectric constant of Class B inorganic particles. When the pollutants are a mixture of Class A organic matter and Class B inorganic particles, the sequence mode, collaborative mode, and partition mode can be used respectively. Among them, in the sequence mode, the organic matter decomposition is performed first, and then the particle removal is performed, or vice versa, according to which When one type of contaminant is dominant or easier to remove, in collaborative mode, SPhP tuning and excitation parameters are designed to have a certain effect on both. In partitioned mode, when contaminants are spatially separated, different modes are used for different areas. When the contaminant type is unknown or the database or model cannot accurately match it, a preset broad-spectrum cleaning mode or a combination of several modes is tried, and their effects are learned and recorded. For the selected mode, the central control processing unit calculates the optimal SPhP tuning target frequency, excitation source power, pulse parameters, etc. from the parameter library based on the contaminant concentration, estimated adhesion strength, etc.

[0078] Target area selection and priority control logic: Input the pollutant distribution map, cleaning threshold, areas where the pollutant concentration or coverage significantly exceeds the cleaning start threshold, the center area of ​​the screen where the user is watching or interacting, and "hot spots" with repeated pollution in the past as high-priority areas. For large-area pollution, block cleaning can be used, using spiral expansion from the center outward, or line-by-line scanning. For scattered pollution points, they can be cleared one by one. When using the particle migration mode, the migration path needs to be planned to avoid secondary pollution and guide it to the collection area. When the hardware supports it, multiple small areas can be cleaned concurrently. Otherwise, serial cleaning is performed according to priority.

[0079] SPhP parameter tuning and excitation source coordinated control logic: The central control processing unit issues target resonance parameters to the SPhP control layer, which performs tuning. Microsensors integrated in or near the SPhP layer provide feedback on the actual resonance characteristics after tuning. The central control processing unit compares the actual characteristics with the target characteristics. If there is any deviation, it issues fine-tuning instructions until a match is achieved. After tuning is in place, the central control processing unit precisely and synchronously activates the excitation source module to ensure that energy is coupled into the SPhP at the optimal resonance time. The output frequency, linewidth, polarization state, etc. of the excitation source must be precisely matched with the tuned SPhP mode to maximize excitation efficiency. The central control processing unit is responsible for this matching calculation and control. In addition, if the local temperature of the SPhP layer or LCD panel exceeds the safety upper limit, the excitation is immediately stopped and the system enters a cooling or inspection state. The output power of the excitation source is monitored by the central control processing unit to prevent overload. Specific embodiment three:

[0081] like Figures 1 to 3 As shown, based on the content in the above specific embodiments, the following contents are further disclosed:

[0082] The core content of each algorithm in the above system is as follows:

[0083] Pollutant identification and classification algorithm: Input the original or pre-processed spectral data and terahertz near-field image data collected by the pollutant identification module. First, perform data preprocessing. For spectral data, perform noise filtering, baseline correction, and spectral normalization. For terahertz image data, perform image denoising, contrast enhancement, and edge detection. Then perform feature extraction. For spectral data, automatically search for the position, peak height, peak area, and full width at half maximum of characteristic absorption peaks, extract the average absorbance and derivative spectral features of specific wavenumber intervals, etc. For terahertz image data, calculate the average real and imaginary parts of the dielectric constant, absorption coefficient, and refractive index of the contaminated area, extract the morphological characteristics of the pollutants, and combine the extracted features into a feature vector F = [f1, f2, ..., f N ], based on machine learning, load a pre-trained classification model, namely support vector machine, convolutional neural network or random forest, input the feature vector F of the area to be tested into the classification model, and the model outputs one or more pollutant category IDs and the corresponding probability or confidence score. According to the classification results and feature strength, combined with the calibration curve or regression model, the relative concentration, coverage thickness or pollution level of the pollutants is estimated, and a structured data packet containing the pollutant category, location, confidence, and parameter estimation value is output and transmitted to the central control processing unit.

[0084] The SPhP resonance on-demand tuning algorithm: The central control processing unit inputs the target pollutant type, the characteristic action frequency corresponding to the pollutant, and the address list of the micro-nano structure units in the target cleaning area. The central control processing unit queries a pre-established "pollutant-SPhP tuning parameter" database or calls a parameter prediction model based on the target pollutant type and target frequency. This database or model stores the control parameters of the state-adjustable material required for each micro-nano structure unit for different target SPhP resonance frequencies. The central control processing unit generates a specific control signal waveform and timing for each micro-nano structure unit in the address list of the micro-nano structure unit in the target cleaning area based on the queried control parameters. The central control processing unit sends a sequence of control signals to the driver of the target micro-nanostructure unit through the addressing circuit. The system has the ability to provide real-time feedback on the tuning state of the SPhP. The central control processing unit will receive the feedback signal and compare the actual SPhP resonance characteristics with the target characteristics. If there is a deviation and it exceeds the allowable range, the central control processing unit will fine-tune the control signal parameters based on the size and direction of the deviation and re-issue the command until the target resonance state is reached or the maximum number of attempts is reached. The output is the precise physical state change of the target micro-nanostructure unit in the SPhP control layer so that its SPhP resonance characteristics meet the cleaning requirements. The resonance characteristics of the SPhP are described by its dispersion relation, which conceptually relates the frequency ω to the wave vector k. SPhP , and conceptually determined by the complex dielectric functions ∈1(ω) and ∈2(ω) of the materials on both sides of the interface. For a simple interface, where k SPhP is the wave vector, ω is the angular frequency, c is the speed of light, ∈1 and ∈2 are dielectric functions. The tuning algorithm modifies the dispersion relation by changing the material parameters ∈(ω), thereby changing the resonant frequency and near-field distribution of the SPhP. The system can receive feedback signals and perform closed-loop fine-tuning of the tuning state to ensure that the resonant characteristics of the SPhP accurately match the cleaning requirements.

[0085] Excitation source control and cleaning execution algorithm: Input the target cleaning area, selected cleaning mechanism, pollutant concentration or thickness level, and actual resonant frequency after SPhP tuning determined by the central control processing unit. The central control processing unit queries the "pollutant level-excitation parameter" database or calls the parameter model based on the cleaning mechanism and pollutant concentration or thickness level. The database or model gives the operating frequency, output power density, pulse width, pulse repetition frequency and total excitation duration required by the excitation source for the current situation. The central control processing unit sends a control instruction to the excitation source module, configures the operating frequency of its light source to the actual resonant frequency after SPhP tuning, and sets the calculated power, pulse and other parameters. At the same time, the beam addressing system of the instruction excitation source will accurately guide and focus the energy to the area covered by the target cleaning area. The central control processing unit The processing unit starts the excitation source and begins the cleaning process. During the total excitation duration, the central control processing unit can instruct the pollutant identification module to perform a low-frequency, fast "effect preview" scan of the target area to obtain pollutant reduction trend data. If the "effect preview" shows that the pollutant removal speed is much faster than expected, the central control processing unit can terminate the excitation in advance to save energy. If the removal speed is too slow, the central control processing unit can moderately increase the output power density or extend the total excitation duration within a safe range, or re-evaluate and start a new round of more powerful cleaning after the current excitation cycle ends. The algorithm adjusts the intensity and duration of these physical effects by controlling the excitation parameters, and can dynamically adjust according to the pollutant reduction trend to output the effective removal of pollutants in the target area. The excitation source module emits precisely controlled electromagnetic radiation;

[0086] Organic matter removal: The tuned SPhP resonates with the vibration mode of organic molecules, resulting in strong resonance energy transfer, with an energy transfer rate of R transfer Conceptually related to the local electric field strength E of SPhP at the molecular position SPhP , is proportional to the square of loc and the degree of overlap g(…) between SPhP and the molecular vibration spectrum: R transfer ∝∣μ·E SPhP ,loc| 2 ·g(ω SPhP -ω mol )·ρ mol , where R transfer is the energy transfer rate, μ is the molecular transition dipole moment, E SPhP ,loc is the local electric field strength of SPhP, g(ω SPhP -ω mol ) is the spectral overlap function (ω SPhP and ω mol are SPhP and molecular vibration angular frequency, respectively), ρ mol The strong near-field enhancement effect of SPhP is the key to achieving efficient energy transfer.

[0087] Inorganic removal: The inhomogeneous near field generated by SPhP exerts a dielectrophoretic force F on inorganic particles. DEP , the dielectrophoretic force is proportional to the square of the electric field intensity gradient: and depends on the difference in dielectric properties between the particles and the medium, where F DEP is the dielectrophoretic force, E rms is the RMS value of the electric field, represents the gradient operator, which can generate a field gradient in a specific direction by tuning the SPhP mode, exerting a repulsive or pulling force on the particles;

[0088] Local heat generation: Excitation of SPhP is accompanied by energy absorption, generating local heat, with a heat generation rate per unit volume Q heat Related to the local electric field strength and the material absorption characteristics: Q heat ∝ω∈0∈”(ω)∣E SPhP ,loc| 2 +σ'(ω)|E SPhP ,loc| 2 , where Q heat is the heat generation rate, ω is the angular frequency, ∈0 is the vacuum dielectric constant, ∈”(ω) is the imaginary part of the material dielectric function, σ'(ω) is the real part of the material conductivity, E SPhP ,loc is the local electric field strength. Specific embodiment four:

[0090] like Figures 1 to 3 As shown, based on the content in the above specific embodiments, the following contents are further disclosed:

[0091] This self-cleaning LCD display system is designed as a sophisticated, integrated intelligent system. Its overall architecture can be divided into a perception layer, a decision-making and control layer, an execution layer, and an energy support layer. These layers are composed of several core functional modules that work closely together through an internal high-speed data bus and control signal links to achieve intelligent, adaptive cleaning of the LCD surface. The core functional modules and their hardware structure include the following:

[0092] Liquid crystal display panel: As the foundation of the system, it undertakes the main image display function. The cleanliness of its optical surface directly affects the user's visual experience. It is the core protection object of the self-cleaning function of this system. Its hardware structure is a standard liquid crystal display panel component, including a thin film transistor TFT array substrate, a liquid crystal layer, a color filter CF substrate, a polarizer and a backlight module. In this system, its outermost optical surface is usually the outer protective layer of the top polarizer or an additional tempered glass cover, which is the location where the subsequent reconfigurable surface phonon polariton control layer is directly integrated or attached.

[0093] Reconfigurable surface phonon polaritons control layer: It is the core execution unit for realizing active and targeted pollutant removal. It can dynamically change the coupling state of optical phonons and electromagnetic fields of the micro-nanostructure units on its surface according to the instructions of the central control processing unit, that is, the resonant characteristics of surface phonon polaritons SPhP, thereby selectively resonating and coupling with specific pollutants to produce a removal effect. The hardware structure is a layer of composite micro-nanostructure film, which is directly constructed or integrated on the optical surface of the liquid crystal display panel. Its main components include polar crystal material film, state-adjustable material layer and Wiener structure unit array , a transparent conductive addressing network and a micro heater array, wherein a polar crystal material film serves as the excitation and propagation medium of the SPhP, a state-adjustable material layer is precisely patterned and integrated on the polar crystal material layer for dynamically controlling the SPhP, and a micro-nano structure unit array is made of the above materials into periodic or quasi-periodic micro-nano structure units through electron beam lithography, nanoimprinting or top-down plasma etching and other technologies. The transparent conductive addressing network is integrated in the transparent electrode array below or inside the micro-nano structure unit for independent electrical control of the state-adjustable material of each unit.

[0094] Pollutant identification module: This module is responsible for real-time or periodic perception, detection and analysis of the type, concentration, distribution and other relevant characteristic parameters of pollutants on the optical surface of the LCD screen, and provides accurate input data for the cleaning decision of the central control processing unit. This is a highly integrated multi-sensor fusion module that contains one or more of the following miniaturized sensor arrays and their associated circuits: a miniature mid-infrared spectral analysis sensor array and a miniature terahertz near-field imaging sensor array. The miniature mid-infrared spectral analysis sensor array includes a miniature light source, a dispersion or filtering element, a detector and a front-end readout circuit. The miniature light source is an arrayed mid-infrared light-emitting diode or a miniature broadband thermal radiation source. The dispersion or filtering element is a tunable Fabry-Perot interferometer array based on a micro-electromechanical system or a fixed micro-grating array. The detector is an uncooled micro-bolometer array. The micro terahertz near-field imaging sensor array includes a terahertz transmitting or receiving unit, a near-field probe or coupling structure, a scanning and positioning mechanism, and a signal processing unit. The terahertz transmitting or receiving unit is based on a photoconductive antenna array, a Schottky diode frequency multiplier array, or a micro solid-state terahertz oscillator array. The near-field probe or coupling structure is a subwavelength-sized metal tip array or a microhole array for enhancing and collecting near-field signals. The scanning and positioning mechanism is a micro scanning mirror or a piezoelectric actuator for achieving precise scanning of the probe or light beam. The signal processing unit is a high-speed phase-locked amplifier and a data acquisition card for demodulating terahertz signals, reconstructing images, and extracting dielectric parameters.

[0095] Excitation source module: This module provides energy of specific frequency, specific intensity and specific timing to the target micro-nanostructure units in the reconfigurable SPhP control layer that have completed resonant characteristic tuning according to the instructions of the central control processing unit, so as to efficiently excite surface phonon polaritons, thereby driving the cleaning process. Its hardware structure includes an addressable mid-infrared light source array, a beam steering and focusing system and a drive and control circuit. Among them, the addressable mid-infrared light source array includes a quantum cascade laser array and a mid-infrared light-emitting diode array. The beam steering and focusing system includes a microlens array and a micro-scanning mirror array. The microlens array is integrated at the light outlet of the light source array and is used to collimate or focus the light beam of each light source unit. The micro-scanning mirror array is used to quickly and accurately guide the light beams from a single or a few light sources to different areas of the screen. The drive and control circuit is a high-precision current source, voltage source, pulse generator and high-speed digital interface, which is used to receive instructions from the central control processing unit and accurately control the switching, power, frequency and pulse parameters of each light source unit.

[0096] Central Control Processing Unit: As the intelligent decision-making and control core of the entire self-cleaning system, it is responsible for receiving and processing sensor data from the pollutant identification module, running complex analysis and decision-making algorithms, generating and issuing control instructions to the reconfigurable SPhP control layer and excitation source module, coordinating the timing and actions of various parts of the system, managing system energy consumption, and executing machine learning model training and inference. Its hardware structure includes a main processor, memory, communication interface and peripheral circuits. The memory includes dynamic random access memory and non-volatile flash memory. The communication interface includes a high-speed interface and a control interface. The peripheral circuits include a real-time clock, power management unit, temperature sensor, and general input and output.

[0097] Energy recovery module: This module is designed to capture the waste heat energy generated when the LCD panel is working, or other available environmental energy, and efficiently convert it into electrical energy to power low-power components in the system, or serve as an auxiliary power source during cleaning operations, thereby improving the overall energy utilization efficiency of the system and extending the battery life of battery-powered devices. Its hardware structure includes a thermal energy collection unit, energy conversion and management circuits, and a micro energy storage unit. The thermal energy collection unit includes a thin-film thermoelectric generator thermoelectric conversion array, which is composed of a large number of P-type and N-type bismuth telluride-based or other high-efficiency thermoelectric material films connected in series. These thermoelectric conversion arrays are tightly attached to the surface of the main heat-generating components of the LCD panel through high thermal conductivity interface materials. The energy conversion and management circuit includes an ultra-low power DC-DC boost or buck converter and a power management integrated circuit. The micro energy storage unit includes a supercapacitor and a thin-film lithium-ion battery.

[0098] Through the precise construction and coordinated work of these modules, the entire system forms an intelligent self-cleaning system with dynamic response and closed-loop feedback. Specific embodiment five:

[0100] like Figures 1 to 3 As shown, based on the content in the above specific embodiments, the following contents are further disclosed:

[0101] In order to further verify the feasibility of the technical solution of this application, the following case is further explained:

[0102] Case 1: Removing mixed fingerprints and light dust from a laptop screen in an office environment;

[0103] Scenario description: Mr. Wang, a software engineer, uses his laptop equipped with this self-cleaning system for long periods of time every day. One afternoon, he noticed that the center of the screen was covered with obvious fingerprints and oil stains due to frequent touching and discussing. At the same time, some light dust particles, common in office environments, had accumulated on the edge of the upper half of the screen. At this time, the laptop was in normal use and connected to the power adapter.

[0104] System operation and self-cleaning process: The system had previously noticed the accumulation of pollution through low-frequency inspections, but it did not reach the level of immediate cleaning. When Mr. Wang finished a period of high-intensity work and left his seat for a short time, the laptop entered the screen protection or low-power display state, creating conditions for the system to perform a more detailed cleaning assessment. The central control processing unit detected that the laptop had switched from high-load use to idle state, and the "attention threshold" had been triggered before. Then, the central control processing unit instructed the pollutant identification module to perform a high-precision scan of the entire screen. The mid-infrared spectral analysis sensor array focused on scanning the central area of ​​the screen, and its reflectance spectrum was displayed in the range of 2800-3000cm -1 (CH expansion) and 1700-1750cm -1 (C=O stretching) has a clear absorption peak at about 1650cm -1 Absorption of the amide I band indicates that the pollutants are primarily sebum, oil, and a small amount of protein from skin cell debris. The sensor labels this area as "organic mixed pollution type A." The terahertz near-field imaging sensor scans the edge of the upper half of the screen. Its dielectric property map shows multiple irregular, tiny areas with dielectric constants significantly different from those of air. Combined with their morphological characteristics, they are identified as "inorganic dust particles B," likely composed mainly of fibers and silica. The pollutant identification module sends a data packet containing the pollutant type (organic mixed type A, inorganic type B), their precise two-dimensional coordinate distribution maps (type A is primarily concentrated in the rectangular area from (x1, y1) to (x2, y2), type B is scattered across the upper half of the screen where y>y3), and estimated coverage and thickness levels (type A is level 3, type B is level 2) to the central control processing unit.

[0105] The central control processing unit receives the data and calls a machine learning model for auxiliary analysis. The model confirms that the spectrum and terahertz data are highly matched with the "fingerprint oil stains + skin debris" and "office mixed dust" in the database. For the "organic mixed pollution A" in the central area, the central control processing unit decides to use the "SPhP molecular vibration resonance decomposition" mode. It queries the database to obtain the optimal SPhP resonant frequency corresponding to the characteristic absorption peak of this type of pollutant (f1 for the C-H bond and f2 for the C=O bond). For the "inorganic dust particles B" in the upper part, the central control processing unit decides to use the "SPhP field gradient force manipulation" mode. The goal is to drive particles into the micro-collection slots at the top edge of the screen. Considering that fingerprints and oil stains have a greater visual impact, the central control processing unit decides to clean the organic contamination in the central area first, and then deal with the dust at the edges. The central control processing unit first sends a command to the reconfigurable SPhP control layer, requesting that the micro-nanostructure units located in the central area (x1, y1)-(x2, y2) of the screen adjust their state. By controlling the gate voltage applied to the graphene on these units, the resonant frequency of their SPhP-plasmon hybrid mode is precisely tuned to f1. The SPhP control layer performs the tuning and notifies the central control processing unit of the tuning completion through internal feedback.

[0106] First, organic pollution is removed. The central control processing unit instructs the excitation source module to emit mid-infrared light pulses of the corresponding frequency to the central area tuned to f1. The excitation power and pulse sequence are set according to pollution level 3. Medium power is used for 15 seconds. The SPhP is efficiently excited and resonates strongly with the CH bond in the fingerprint. The energy transfer causes the CH bond to break and the organic matter begins to decompose. After 15 seconds, the central control processing unit suspends the excitation and instructs the SPhP control layer to re-tune the micro-nanostructure unit in the same area to the resonant frequency f2. After the tuning is completed, the central control processing unit again instructs the excitation source module A mid-infrared light pulse corresponding to frequency f2 is emitted for 10 seconds to further decompose organic matter containing C=O bonds. During this process, the pollutant identification module can perform intermittent rapid scanning and feedback the decomposition progress to the central control processing unit. The central control processing unit dynamically adjusts the excitation duration or power based on the feedback. After the organic matter cleaning excitation is completed, the pollutant identification module performs a detailed assessment of the central area. The spectrum shows that the CH and C=O absorption peak intensities have been significantly reduced to below the "cleaning qualified threshold". The central control processing unit records the results and restores the cells in the central area of ​​the SPhP regulatory layer to the default high light transmittance / anti-reflection state.

[0107] Next, inorganic dust removal is performed. The central control processing unit now processes the inorganic dust in the upper half of the screen. It instructs the SPhP control layer to tune the micro-nanostructure units located near the dust particles and on their predetermined removal path to produce an SPhP near-field gradient pattern with a specific direction and intensity pointing to the top edge of the screen. The central control processing unit instructs the excitation source module to serialize or co-excite the tuned area. The dielectrophoretic or photophoretic force generated by the SPhP begins to act on the dust particles, causing them to overcome surface adhesion and move toward the top of the screen along the designed field gradient path. This process lasts for approximately 20-30 seconds, until most particles are migrated out of the main display area. The cleaning is completed, the assessment and system status recovery phase is completed, and the contaminant identification module confirms that the number of particles in the upper half of the screen has been significantly reduced, meeting the cleaning standard. The central control processing unit records the energy consumption, duration, and effectiveness of the entire cleaning process. All SPhP units are restored to their default state, and the system returns to the initial standby and passive monitoring phase. When Mr. Wang returned, he saw a screen that was as clean as new.

[0108] Case 2: A tablet screen is suddenly splashed with liquid in the sunlight outdoors;

[0109] Scenario description: Ms. Li was reading on her tablet computer at an outdoor cafe when a gust of wind blew, and a small cup of sugary juice from a neighboring table accidentally splashed onto the lower right corner of her tablet screen, covering an area approximately 5cm x 7cm, leaving a sticky liquid mark. The sunlight was quite strong at the time.

[0110] System operation and self-cleaning process: The capacitive touch screen of the tablet computer detects a large area of ​​abnormal conductive signals, which are interpreted by the central control processing unit as a liquid contamination event. At the same time, the terahertz sensor of the pollutant identification module immediately detects a drastic change in the dielectric constant of the lower right corner during a routine rapid inspection, confirming that it is liquid coverage. The central control processing unit immediately instructs the pollutant identification module to perform a high-priority, high-density scan of the affected area. The terahertz sensor confirms the liquid coverage range and approximate thickness. The mid-infrared spectroscopy sensor array is activated, and the spectrum shows a strong OH stretching vibration absorption peak and absorption peaks related to sugar molecules such as CO and CC. It is judged to be "sugar-containing water-based liquid contamination C". The pollutant identification module sends the pollution type, precise location, liquid coverage and spectral characteristics to the central control processing unit. The control processing unit confirmed that the contamination was caused by a sugary liquid. This highly viscous substance forms a solid residue that is even more difficult to remove after drying, necessitating rapid processing. First, the SPhP field gradient force manipulation mode was used to attempt to push most of the liquid contaminants toward the edges of the screen, reducing the area and difficulty of subsequent processing. The SPhP molecular vibration resonance decomposition mode was then employed for the remaining sugars and organic matter after removal. Given the strong outdoor sunlight, the central control processing unit assessed the high current power generation of the energy recovery module and the sufficient charge of the main battery. The central control processing unit instructed the SPhP control layer to rapidly form a strong, outward-pointing SPhP field gradient at the edge of the liquid contamination area and along its predetermined removal path. This involved activating multiple micro-nanostructure units, enabling their SPhP modes to work synergistically, producing an effect similar to that of an "air scraper" or "directional surface acoustic wave."

[0111] The central control processing unit instructs the excitation source module to excite the tuned area with a high-power, short pulse sequence for 5-10 seconds. The powerful SPhP field gradient force acts on the dielectric boundary of the liquid, trying to overcome the surface tension and adhesion of the liquid and push it as a whole or mostly to the lower right edge of the screen. The pollutant identification module monitors the movement of the liquid boundary in real time. The terahertz sensor shows that most of the liquid has been successfully expelled or gathered in a small area at the edge of the screen. The liquid coverage of the main display area has been basically eliminated. The central control processing unit records the results. The central control processing unit instructs the pollutant identification module to scan the original contaminated area and the liquid collection area again to identify the residual sugar stains and organic film. According to the spectral characteristics of the residue, the central control processing unit instructs the SPhP control layer to accurately tune the SPhP resonant frequency of the micro-nano structure units in these areas to match these characteristic peaks. The central control processing unit The infrared excitation source module in the instruction performs targeted irradiation on the tuned area, stimulating the SPhP to resonate with the molecular vibration of organic matter such as residual sugar. The energy transfer causes the organic matter to decompose into water, carbon dioxide, etc. Since outdoor sunlight provides some background infrared radiation, the machine learning algorithm of the central control processing unit will appropriately adjust the output power of the excitation source, using environmental energy for collaborative cleaning to save electricity. This process lasts about 20-40 seconds, depending on the thickness and composition of the residue. The pollutant identification module makes a final assessment and confirms that the residue has been decomposed to below the qualified cleaning threshold. The lower right corner of the screen is restored to clean. The central control processing unit records the parameters of the entire emergency cleaning event and adds the case of successful handling of sudden liquid contamination to the training database of the machine learning model to optimize the response speed and efficiency of similar incidents in the future. All SPhP units are restored to the default state, and Ms. Li can continue to use her tablet without worry.

[0112] Case 3: Regular disinfection of touch screens and removal of invisible contaminants in medical environments;

[0113] Scenario description: The touch-screen information queuing terminal at a hospital's nurse station is set to undergo deep cleaning and disinfection every four hours. When the scheduled cleaning time arrives, even if the screen surface appears relatively clean, the system will still perform a cleaning procedure to remove potential bacteria, viruses, and other invisible organic residues.

[0114] System operation and self-cleaning process: Triggered by the expiration of the system's preset scheduled cleaning task, the central control processing unit instructs the contaminant identification module to perform a full-screen high-sensitivity scan. The mid-infrared spectral array focuses on detecting the presence of weak characteristic signals from residual biomolecules such as proteins and lipids. Specific sensor units attempt to detect characteristic molecular markers of common pathogens, and the terahertz sensor detects any abnormal tiny droplets or signs of biofilm. Even if the contaminant signal is weak, the sensor will report any abnormal patterns detected and the full-screen "background noise" level to the central control processing unit. The central control processing unit determines that although there are no obvious macroscopic stains, there is a potential risk of microbial contamination and trace organic residues. Cleaning is carried out to decompose broad-spectrum organic matter and destroy potential microbial structures. The "broad-spectrum SPhP molecular vibration resonance decomposition" mode is used, combined with the "SPhP local microthermal effect" for synergistic disinfection. The central control processing unit selects a set of SPhP resonant frequency combinations that cover the main vibration absorption peaks of common biomacromolecules. At the same time, an SPhP excitation that can produce a slightly higher local temperature but far below the material damage threshold is selected. Parameters are used to assist in protein denaturation or destroy the viral lipid envelope. The central control processing unit instructs the SPhP regulatory layer to tune the entire screen's micro-nanostructure units to the first set of target SPhP resonant frequencies. The central control processing unit then instructs the excitation source module to perform a first round of broad-spectrum excitation on the tuned area for a period of time. Subsequently, the central control processing unit instructs the SPhP regulatory layer to switch to the second set of resonant frequencies, and the excitation source module excites again. This process is repeated multiple times, covering multiple key biomolecular vibration frequency bands and parameters that produce microthermal effects. If the SPhP regulatory layer itself incorporates materials with photocatalytic activity and the excitation source can provide a small amount of ultraviolet or near-ultraviolet components, the photocatalytic effect will also be activated during this stage, synergistically decomposing organic matter and killing microorganisms. After the excitation is completed, the contaminant identification module performs sensitive testing to confirm whether the intensity of potential biological signals has dropped below a safe level and whether the characteristic peaks of organic residues have disappeared. The central control processing unit records the completion of disinfection and cleaning, updates the cleaning log, and restores all SPhP units to their default state. The information terminal screen is not only visually clean but also maintains surface hygiene.

[0115] These cases illustrate how this system intelligently invokes its core SPhP control capabilities according to different pollution types, environmental conditions, and cleaning requirements, achieving precise and efficient self-cleaning through dynamic reconfigurability, selective action on pollutants, and integration with intelligent algorithms.

[0116] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further restrictions, an element defined by the statement "comprising a reference structure" does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0117] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A self-cleaning liquid crystal display system based on nanostructure enhancement, characterized by: The self-cleaning liquid crystal display system includes a liquid crystal display panel, a reconfigurable surface phonon polariton control layer, a pollutant identification module, an excitation source module, a central control processing unit, and an energy recovery module, wherein: The reconfigurable surface phonon polaritons control layer is provided on the optical surface of the liquid crystal display panel. The reconfigurable surface phonon polaritons control layer comprises a plurality of independently addressable micro-nanostructure units. The materials and structural parameters of the micro-nanostructure units can be changed in response to external control signals to dynamically tune the resonance characteristics of their surface phonon polaritons. The reconfigurable surface phonon polaritons control layer has high transmittance in the visible light band, and its structural design takes into account both anti-reflection and structural color rendering functions. The arrangement and addressing method of the micro-nanostructure units allow for selective cleaning of target contaminated areas with submillimeter precision. Each micro-nanostructure unit can independently control its SPhP resonance characteristics, and the unit size range matches the spatial resolution of the pollutant identification module. The contaminant identification module includes an integrated micro-spectral analysis sensor array or a terahertz near-field imaging sensor for detecting the type, concentration, thickness and spatial distribution of contaminants on optical surfaces; The excitation source module is used to provide energy to the micro-nanostructure unit to excite surface phonon polaritons; The central control processing unit is coupled to the reconfigurable surface phonon polariton control layer, the pollutant identification module and the excitation source module, and is used to control the material and structural parameters of the micro-nano structure unit to tune its surface phonon polariton resonance characteristics to selectively resonate with the target pollutant based on the detection results of the pollutant identification module, and control the excitation source module to selectively activate the micro-nano structure unit in the target area, and remove the pollutants through the physical effect generated by the selective resonant coupling. The detection results include: accurate timestamp; logical address or physical coordinate grid of the contaminated micro-nano structure unit; for each contaminated point or area, providing original or processed spectral data, characteristic parameters of the terahertz image; a list of preliminarily identified pollutant candidate category IDs and their corresponding confidence scores; estimated pollutant coverage area, average thickness or concentration level; and sensor status code; The energy recovery module is used to collect waste heat generated when the liquid crystal display panel is working, and partially convert it into part of the energy required to drive the excitation source module and tune the micro-nano structure unit.

2. The nanostructure-enhanced self-cleaning liquid crystal display system according to claim 1, characterized in that: The micro-nano structure unit uses polar crystal materials and state-adjustable materials. The state-adjustable materials are selected from phase change materials, two-dimensional materials or electro-optical materials. The phase change material is either vanadium oxide or a sulfur compound. The central control processing unit precisely controls the phase state, carrier concentration or geometric configuration of the state-adjustable material by applying electrical signals, local illumination or heat pulses, thereby dynamically and reversibly tuning the surface phonon polariton resonant frequency, near-field intensity and spatial distribution of the micro-nano structure unit.

3. The nanostructure-enhanced self-cleaning liquid crystal display system according to claim 1, characterized in that: The pollutant identification module is used to quickly obtain characteristic vibration absorption spectrum information of pollutants attached to the optical surface and dielectric property information in the mid-infrared and terahertz bands.

4. The nanostructure-enhanced self-cleaning liquid crystal display system according to claim 1, characterized in that: When the selective resonant coupling is directed at organic pollutants, strong resonant coupling is achieved by tuning the resonant frequency of the surface phonon polaritons to the specific molecular vibration modes of the organic pollutant molecules, thereby transferring highly selective, high-energy-density energy to the interior of the pollutant molecules, resulting in chemical bond breaking and structural decomposition of the organic pollutant molecules.

5. The nanostructure-enhanced self-cleaning liquid crystal display system according to claim 1, characterized in that: When the selective resonant coupling is directed at inorganic particles, the enhanced near-field generated by the tuned surface phonon polaritons is localized near the inorganic pollutant particles to form a strong local electromagnetic field gradient. The photophoretic force or dielectrophoretic force is used to apply a controllable nanoscale mechanical repulsive force and pulling force to the inorganic pollutant particles, thereby peeling them off the surface and migrating them in a directed manner to a preset collection area.

6. The nanostructure-enhanced self-cleaning liquid crystal display system according to claim 1, characterized in that: The excitation source module is an addressable mid-infrared light source array or a terahertz radiation source array, and its emission wavelength matches the surface phonon polariton resonance frequency of the micro-nano structure unit.

7. The nanostructure-enhanced self-cleaning liquid crystal display system according to claim 1, characterized in that: The central control processing unit uses a machine learning-based algorithm to optimize the tuning strategy and excitation parameters of the surface phonon polariton resonance characteristics based on the pollutant database and real-time sensor data.

8. The nanostructure-enhanced self-cleaning liquid crystal display system according to any one of claims 1 to 7, characterized in that: The dynamic self-cleaning method of the self-cleaning liquid crystal display system comprises the following steps: Sp1: Detecting the type and characteristic parameters of contaminants on the optical surface of the liquid crystal display panel through the contaminant identification module; Sp2: The central control processing unit determines the target area to be cleaned based on the type and characteristic parameters of the detected pollutants, and instructs the micro-nanostructure units corresponding to the target area in the reconfigurable surface phonon polariton control layer to change their material or structural parameters to tune their surface phonon polariton resonance characteristics so that they can selectively resonate and couple with the pollutants; Sp3: The central control processing unit instructs the excitation source module to selectively activate the micro-nanostructure units in the target area to excite surface phonon polaritons; Sp4: utilizing the physical effect of the selective resonance coupling described in step Sp2 to remove the pollutants in the target area.

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