Intelligent ordering board with nano-coating and remote updating system

Abstract

The application relates to the technical field of intelligent terminal equipment and surface treatment, in particular to a smart ordering board with a nano coating and a remote updating system, the smart ordering board with the nano coating comprises an ultrathin high-transparency protective layer, a light-triggered regenerative nano composite coating, a micro-nano structure glass substrate and a smart module; the remote updating system of the smart ordering board with the nano coating comprises a local data acquisition module, an updating identification module, a user and firmware parameter updating module and a coating maintenance updating module. The application overcomes the technical bottleneck that the active components of the traditional coating can only be consumed once in the prior art, and simultaneously solves the problem of the persistence of the antibacterial function.

Description

Technical Field

[0001] This invention relates to the field of intelligent terminal equipment and surface treatment technology, and in particular to an intelligent ordering board with a nano-coating and a remote update system. Background Technology

[0002] Smart ordering displays are widely used in catering establishments. For public health reasons, some devices have antibacterial nano-coatings applied to the screen surface. However, under long-term, high-frequency touching and cleaning, such coatings generally suffer from poor adhesion, easy wear, and irreversible consumption of antibacterial substances, leading to rapid functional failure. Frequent screen replacements or professional recoating are costly, affecting the device's lifespan and commercial reliability. Currently, there is a lack of a comprehensive solution that can effectively combine strong adhesion with self-maintenance functionality.

[0003] Chinese Patent Publication Number: CN118897634B discloses a touchscreen with an anti-glare, anti-fingerprint, and antibacterial nano-coating, relating to the field of touchscreen technology. The touchscreen includes a touchscreen, a connecting cable, and a connector. The connecting cable and connector are mated together. The touchscreen also includes a multi-functional component and an auxiliary signal stabilizing component. The multi-functional component is located below the auxiliary signal stabilizing component. The multi-functional component includes an A contact block and a B contact block fixedly connected for feedback from different code programs. The multi-functional component also includes a trapezoidal block. The auxiliary signal stabilizing component includes a moving part. A pressing spring is provided on the upper part of a square rod, allowing manual operation of the square rod to move laterally with the assistance of a guide post. The sliding in the channel allows for the switching of control device codes. At the same time, this lateral movement allows the touch point to wipe the touch screen surface through a drive rod that is indirectly connected to it, carrying a wiping body. It can be seen that the touch screen with anti-glare, anti-fingerprint, and antibacterial nano-coating has the following problems: (1) It relies on the one-time slow release of the premixed antibacterial agent in the coating; the function is irreversibly reduced as the effective ingredients are consumed and worn, and usually needs to be replaced or recoated every few months; (2) As a static functional film, it does not have sensing and data processing capabilities; it cannot sense its own wear status, and maintenance depends entirely on manual periodic inspection and handling after problems occur, resulting in high management costs. Summary of the Invention

[0004] To address this, the present invention provides a smart ordering board with a nano-coating and a remote updating system, which overcomes the technical bottleneck that the active ingredients of traditional coatings can only be consumed once in the prior art, while also achieving the problem of long-lasting antibacterial function.

[0005] To achieve the above objectives, the present invention provides a smart ordering board with a nano-coating, the smart ordering board with the nano-coating comprising: An ultra-thin, high-transparency protective layer, a light-triggered regeneration nanocomposite coating, a micro / nano structured glass substrate, and a smart module, among which: The micro-nano structured glass substrate is a micro-nano structured interface that has undergone micro-nano processing, and the micro-nano structured interface has a three-dimensional micro-pore array. The light-triggered regenerative nanocomposite coating includes a contact response layer and an anchoring reserve layer. The anchoring reserve layer is filled with liquid phase and solidified in the three-dimensional micro-pore array of the micro-nano structure interface on the micro-nano structure glass substrate to form a micro-nano scale mechanical interlocking structure. The anchoring reserve layer contains a library of photoactive nanomaterials. An ultrathin photothermal conversion transparent hydrophobic polymer is coated on the anchoring reserve layer to obtain the contact response layer. The intelligent module incorporates a light trigger module, an environmental sensing module, and a remote update system for the intelligent ordering board with a nano-coating. This system monitors the status parameters of the intelligent ordering board in real time and transmits these parameters to the remote update system for remote updating of the intelligent ordering board.

[0006] Furthermore, in the micro-nano structured glass substrate, the individual pores in the three-dimensional micro-pore array on the micro-nano structure interface are inverted pyramid-shaped, with a depth of D1 of 5 micrometers ≤ D1 ≤ 100 micrometers and an opening width of D2 of 1 micrometer ≤ D2 ≤ 20 micrometers, and the three-dimensional micro-pore array is regularly arranged.

[0007] Furthermore, the phototriggered regeneration nanocomposite coating is a gradient functional material. The portion of the gradient functional material filling the pores of the micro-nano structure interface constitutes an anchoring reserve layer, and the ultrathin photothermal conversion transparent hydrophobic polymer layer on top constitutes a contact response layer. The contact response layer is doped with photothermal conversion nanoparticles.

[0008] Furthermore, the light triggering module in the intelligent module includes a specific wavelength light source, a light guide element, and a driving circuit, wherein the emission peak wavelength of the specific wavelength light source matches the photoresponse band of the photoactive nanomaterial library.

[0009] On the other hand, the present invention also provides a remote update system for a smart order card with a nano-coating, the remote update system for the smart order card with a nano-coating comprising: The local data acquisition module is used to acquire operational data of the smart ordering board with nano-coating; The update identification module is used to identify the update requirements of the smart ordering board with nano-coating based on the running data, and to activate the user and firmware parameter update module and the nano-coating update module according to the update requirements. The user and firmware parameter update module is used to obtain user and firmware parameter update data packets and update user parameters and firmware parameters according to the user and firmware parameter update data packets. The coating maintenance and update module is used to obtain coating update data packages, update coating parameters according to the coating update data packages, monitor coating parameters, and optimize the coating update process based on the monitoring results.

[0010] Furthermore, when the update identification module identifies the update requirement of the smart ordering board with nano-coating based on the operating data, it compares the user parameter version, firmware parameter version, and coating parameter version of the ordering board in the operating data with the user parameter version, firmware parameter version, and coating parameter version of the ordering board in the cloud, respectively. Based on the comparison results, it determines the update requirement of the smart ordering board with nano-coating, and activates the user and firmware parameter update module and the nano-coating update module based on the determination results. When the user parameter version of the order card is consistent with the user parameter version of the cloud order card, the firmware parameter version of the order card is consistent with the firmware version of the cloud order card, and the coating parameter version of the order card is consistent with the coating parameter version of the cloud order card, it is determined that the update requirement of the smart order card with nano-coating is not required, and the user and firmware parameter update module and the nano-coating update module are not activated. When the user parameter version of the order card is inconsistent with the user parameter version of the order card in the cloud, it is determined that the update requirement of the smart order card with nano-coating is to update the user parameters and activate the user and firmware parameter update module. When the firmware parameter version of the order card is inconsistent with the firmware parameter version of the order card in the cloud, it is determined that the update requirement of the smart order card with nano-coating is to update the firmware parameters and activate the user and firmware parameter update module. When the coating parameter version of the order form is inconsistent with the coating parameter version of the order form in the cloud, it is determined that the smart order form with nano-coating needs to be updated, and the nano-coating update module is activated.

[0011] Furthermore, when the update identification module activates the user and firmware parameter update module and the nano-coating update module according to the update requirements, it selects the activation process for the user and firmware parameter update module and the nano-coating update module based on the operating status of the smart ordering board with nano-coating, wherein: When the smart ordering board with nano-coating is in an idle period, the process of activating the user and firmware parameter update module and the nano-coating update module will be selected as immediate activation; When the smart ordering board with nano-coating is not in an idle period, the process of activating the user and firmware parameter update module and the nano-coating update module will be selected as waiting for activation.

[0012] Furthermore, when the user and firmware parameter update module updates the user parameters and firmware parameters according to the user and firmware parameter update data packet, it sends a request for obtaining the user and firmware parameter update data packet to the cloud. The cloud transmits the encrypted user and firmware parameter update data packet to the user and firmware parameter update module. The user and firmware parameter update module decrypts the encrypted user and firmware parameter update data packet to obtain the user and firmware parameter update data packet, and updates the user parameters and firmware parameters according to the user and firmware parameter update data packet. When the coating maintenance and update module updates the coating parameters according to the coating update data packet, it sends a coating update data packet retrieval request to the cloud. The cloud transmits the encrypted coating update data packet to the coating maintenance and update module. The coating maintenance and update module decrypts the encrypted coating update data packet to obtain the coating update data packet, and updates the coating parameters according to the coating update data packet.

[0013] Furthermore, when the coating maintenance and update module monitors the coating parameters, it acquires the coating parameters obtained in real time by the local data acquisition module, compares the effective material quantity K of the photoactive nanomaterial library in the coating parameters with the effective material quantity replacement threshold K0, and optimizes the coating update process when K≤K0. The optimization method is as follows: while updating the coating parameters according to the coating update data package, a photoactive nanomaterial library replacement reminder is sent to the administrator terminal, and the administrator replaces the photoactive nanomaterial library. When the coating maintenance and update module monitors the coating parameters, it also acquires the coating replacement time T, compares the coating replacement time T with the theoretical time T0, and determines that the consumption of the photoactive nanomaterial library is abnormal when T < T0. At this time, it acquires the actual change ΔK and the theoretical change ΔK1 of the effective material quantity K of the photoactive nanomaterial library in the coating parameters. Based on the actual change ΔK and the theoretical change ΔK1, it calculates the actual-theoretical difference KK1, sets KK1 = ΔK - ΔK1, and judges the change of the photoactive nanomaterial library based on the actual-theoretical difference KK1. The optimization process is adjusted according to the judgment, wherein: The preset actual-theoretical difference is set to KK0; When 0≤KK1<KK0, the change in the photoactive nanomaterial library is considered to be within the normal range, and no adjustment is made to the optimization process. When KK1≥KK0, the change in the photoactive nanomaterial library is determined to be a risk of leakage. The optimization process is adjusted by stopping the coating update and stopping the operation of the smart ordering board with nano-coating. At the same time, a device material leakage reminder is sent to the administrator terminal, and the administrator is responsible for inspecting and repairing the smart ordering board with nano-coating. When KK1 < 0, the change in the photoactive nanomaterial library is determined to be an abnormal coating parameter data. The coating parameters are then reacquired and tested.

[0014] Furthermore, when monitoring the coating parameters, the coating maintenance and update module also inputs the contact materials of the menu cards into the vulnerable component analysis model. The vulnerable component analysis model outputs the vulnerable component risk level of each contact material of the menu cards. The vulnerable component risk level of each contact material of the menu cards includes high vulnerability level, medium vulnerability level, low vulnerability level, and no vulnerability level. The coating maintenance and update module judges the validity of the preset actual theoretical difference KK0 based on the vulnerable component risk level of each contact material of the menu cards, and corrects the preset actual theoretical difference KK0 according to the judgment result, wherein: Remove the non-vulnerable category from the risk level of vulnerable components of materials that come into contact with each menu item; When the number of highly vulnerable components in the risk level of the materials in contact with each menu item is greater than or equal to 1, the validity of the preset actual theoretical difference KK0 is deemed invalid, and the preset actual theoretical difference KK0 is corrected. When the number of medium-vulnerability level components in the risk level of vulnerable components of each menu contact material is greater than or equal to 3, the validity of the preset actual theoretical difference KK0 is determined to be invalid, and the preset actual theoretical difference KK0 is corrected. When the number of medium-vulnerability risk levels in the vulnerable components of the contact materials of each menu item is greater than or equal to 6, the validity of the preset actual theoretical difference KK0 is deemed invalid, and the preset actual theoretical difference KK0 is corrected. When the coating maintenance and update module corrects the preset actual theoretical difference KK0, it sets the corrected preset actual theoretical difference to KK0`, where KK0` = [100% + 5% × Gg + 3% × (Gz - 2) + 1% × (Gd - 5)] × KK0. When Gg < 1, Gg = 0; when Gz < 3, Gz = 0; and when Gd < 6, Gd = 0. The optimization process is adjusted according to the corrected preset actual theoretical difference KK0`.

[0015] Compared with existing technologies, the beneficial effects of this invention are as follows: the smart ordering card with nano-coating provides physical protection and high light transmittance through an ultra-thin, high-transparency protective layer; it provides long-lasting antibacterial and hydrophobic functions through a photo-triggered regenerative nanocomposite coating and achieves functional regeneration through a photo-triggered mechanism; it provides a robust micro-nano mechanical interlocking bearing interface for the coating through a micro-nano structured glass substrate; and it realizes intelligent ordering interaction, coating status monitoring, photo-triggered regeneration control, and remote system updates and maintenance through an intelligent module. In particular, the smart ordering card with nano-coating isolates external physical wear and contamination through the ultra-thin, high-transparency protective layer; and achieves long-lasting antibacterial and self-cleaning functions through the photo-triggered regenerative nanocomposite coating. Its gradient design combined with the photo-triggered regeneration mechanism not only provides immediate hydrophobic and antibacterial functions but also can safely excite a deep photoactive nanomaterial library to achieve… The directional migration and functional repair of active ingredients to the surface solves the bottleneck of the one-time consumption of active ingredients in traditional coatings, achieving long-lasting antibacterial function. The smart ordering card with nano-coating achieves ultra-high strength bonding between the coating and the substrate through a micro-nano structured glass substrate. The mechanical interlocking structure formed by its micro-nano structure interface and anchoring reserve layer improves the coating bonding method from surface adhesion to volume integration, enhancing the mechanical stability of the coating against shear and peel, thus enabling it to withstand long-term high-frequency physical friction and cleaning. The smart ordering card with nano-coating realizes intelligent management and maintenance of the entire device through an intelligent module. It integrates a light trigger module, an environmental sensing module, and a remote update system to realize real-time monitoring of the coating status, intelligent maintenance decisions, and remote optimization and upgrading of strategies. This gives the device adaptive and evolvable intelligent management capabilities, significantly improving maintenance efficiency and reducing the total life cycle cost. In particular, the remote update system for the nano-coated smart ordering card collects real-time and comprehensive device operation data through the local data acquisition module, providing an accurate and timely data foundation for the intelligent decision-making of the remote update system. This is a prerequisite for achieving precise and personalized updates. The remote update system for the nano-coated smart ordering card utilizes a dual judgment mechanism of multi-version comparison and operational status perception in the update identification module to accurately identify update needs and intelligently schedule update timing. This ensures the necessity of updates while minimizing interference with normal device operation, improving the practicality and user experience of updates. Furthermore, the remote update system for the nano-coated smart ordering card employs encrypted transmission and security verification mechanisms in the user and firmware parameter update module. To ensure the integrity and security of updated data during transmission and installation, prevent data tampering and theft, and ensure reliable upgrades of the equipment's basic functions, the remote update system for the nano-coated smart ordering board utilizes the coating maintenance and update module for in-depth monitoring and intelligent analysis of coating parameters. This not only enables remote dynamic updates of coating maintenance strategies but also innovatively introduces an optimization and anomaly warning mechanism based on consumption rate monitoring and contact material risk assessment. This allows the system to promptly detect abnormal material consumption, potential leakage risks, and changes in the external environment, and dynamically adjust maintenance strategies and alarm thresholds. Consequently, the maintenance mode of the smart ordering board shifts from post-repair to pre-emptive warning and optimization, greatly improving equipment reliability and lifespan, and reducing operational risks caused by sudden failures. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the structure of the smart ordering card with nano-coating in this embodiment; Figure 2 This is a schematic diagram of the remote update system for the smart ordering board with nano-coating in this embodiment. Detailed Implementation

[0017] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0018] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0019] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0020] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0021] Please see Figure 1 As shown, this is a structural schematic diagram of the smart ordering card with nano-coating in this embodiment. The smart ordering card with nano-coating includes: 1. Ultra-thin high-transparency protective layer; 2. Light-triggered regeneration nanocomposite coating; 3. Micro / nano structured glass substrate; and 4. Smart module. Wherein: The micro-nano structured glass substrate 3 is a micro-nano structured interface that has undergone micro-nano processing, and the micro-nano structured interface has a three-dimensional micro-pore array. The light-triggered regenerative nanocomposite coating 2 includes a contact response layer 201 and an anchoring reserve layer 202. The anchoring reserve layer 202 is filled with liquid phase and solidified in the three-dimensional micro-pore array of the micro-nano structure interface on the micro-nano structure glass substrate 3 to form a micro-nano scale mechanical interlocking structure. The anchoring reserve layer 202 contains a library of photoactive nanomaterials. An ultrathin photothermal conversion transparent hydrophobic polymer is coated on the anchoring reserve layer 202 to obtain the contact response layer 201. The intelligent module 4 has a built-in light trigger module, an environmental sensing module, and a remote update system for the intelligent ordering board with nano-coating. It is used to monitor the status parameters of the intelligent ordering board in real time and transmit the status parameters to the remote update system for the intelligent ordering board with nano-coating to remotely update the intelligent ordering board.

[0022] Specifically, the smart ordering card with nano-coating is applied in catering service venues. The smart ordering card with nano-coating provides physical protection and high light transmittance through an ultra-thin, high-transparency protective layer 1. A photo-triggered regenerative nanocomposite coating 2 provides long-lasting antibacterial and hydrophobic functions and achieves functional regeneration through a photo-triggered mechanism. A micro-nano structured glass substrate 3 provides a robust micro-nano mechanical interlocking interface for the coating. A smart module 4 enables intelligent ordering interaction, coating status monitoring, photo-triggered regeneration control, and remote system updates and maintenance. In particular, the smart ordering card with nano-coating isolates itself from external physical wear and contamination through the ultra-thin, high-transparency protective layer 1. The photo-triggered regenerative nanocomposite coating 2 achieves long-lasting antibacterial and self-cleaning functions on the surface. Its gradient design combined with the photo-triggered regeneration mechanism not only provides immediate hydrophobic and antibacterial functions but also can safely excite deep photoactive nanomaterials through light. The material storage enables the directional migration and functional repair of active ingredients to the surface, thereby solving the bottleneck of the one-time consumption of active ingredients in traditional coatings and achieving the durability of antibacterial function. The smart ordering card with nano-coating achieves ultra-high strength bonding between the coating and the substrate through the micro-nano structure glass substrate 3. The mechanical interlocking structure formed by its micro-nano structure interface and anchoring reserve layer 202 improves the coating bonding method from surface adhesion to volume integration, enhancing the mechanical stability of the coating against shear and peel, thus enabling it to withstand long-term high-frequency physical friction and cleaning. The smart ordering card with nano-coating realizes intelligent management and maintenance of the entire device through the intelligent module 4, which integrates a light trigger module, an environmental sensing module and a remote update system to realize real-time monitoring of the coating status, intelligent maintenance decision-making and remote optimization and upgrading of strategies, enabling the device to have adaptive and evolvable intelligent management capabilities, significantly improving maintenance efficiency and reducing the total life cycle cost.

[0023] Specifically, during normal ordering, the user's touch operation on the smart ordering board with nano-coating is received by the contact response layer 201, processed and responded to by the smart module 4. At the same time, the ultra-thin high-transparency protective layer 1 and the contact response layer 201 provide immediate hydrophobic, anti-fouling, and antibacterial protection. The environmental sensing module in the smart module 4 monitors the status parameters in real time. When long-term use causes the active ingredients on the surface of the contact response layer 201 to be naturally consumed due to physical friction, the system enters the intelligent maintenance stage: the remote update system of the smart ordering board with nano-coating intelligently judges the degree of coating function decay and automatically activates the light trigger module when the device is idle. The light of a specific wavelength passes through the ultra-thin high-transparency protective layer 1, which excites the photothermal conversion nanoparticles in the contact response layer 201 to generate micro-heat, and further triggers the photoactive nanomaterial library in the anchoring reserve layer 202 to respond, driving the functional active substances stored in the photoactive nanomaterial library to migrate directionally to the surface of the contact response layer 201, thereby repairing and regenerating the antibacterial and hydrophobic functions of the surface.

[0024] Specifically, in the micro-nano structured glass substrate 3, the individual pores in the three-dimensional micro-pore array on the micro-nano structure interface are inverted pyramid-shaped, the depth of the individual pore is D1, 5 micrometers ≤ D1 ≤ 100 micrometers, the opening width of the individual pore is D2, 1 micrometer ≤ D2 ≤ 20 micrometers, and the three-dimensional micro-pore array is regularly arranged. The photo-triggered regeneration nanocomposite coating 2 is a gradient functional material. The portion of the gradient functional material filling the pores of the micro-nano structure interface constitutes the anchoring reserve layer 202. The ultrathin photothermal conversion transparent hydrophobic polymer layer on top of it constitutes the contact response layer 201. The contact response layer 201 is doped with photothermal conversion nanoparticles. The light triggering module in the smart module 4 includes a specific wavelength light source, a light guide element, and a driving circuit. The emission peak wavelength of the specific wavelength light source matches the photoresponse band of the photoactive nanomaterial library.

[0025] Specifically, the ultrathin, high-transparency protective layer 1 refers to a transparent film with a thickness in the micrometer range, formed by physical vapor deposition using diamond-like carbon or high-hardness silicon-based transparent resin. The micro / nano fabrication process refers to the process of creating microscopic three-dimensional structures on the substrate surface using ultraviolet laser etching or wet chemical etching techniques. The micro / nano structure interface refers to a structural layer with a composite three-dimensional morphology of micrometer and nanometer scales formed on the substrate surface. The three-dimensional micropore array refers to a collection of micropores with specific depths and shapes regularly distributed on a two-dimensional plane. The liquid-phase infusion filling method refers to the method of injecting liquid or sol-gel precursor materials into the micro / nano pores under vacuum or pressure assistance. The curing method refers to curing the infused material through thermal, optical, or chemical reactions. The process of the precursor material transforming into a solid state; the micro / nano-scale mechanical interlocking structure refers to the bonding method with super-strong adhesion formed by the physical morphology interlocking between the coating material and the micropores of the substrate; the photoactive nanomaterial library refers to a mesoporous nanoparticle carrier modified by photoresponsive molecules, whose pores are loaded with functional active substances that can be controllably released under specific light stimulation, such as mesoporous silica nanoparticles modified with azobenzene loaded with zinc oxide antibacterial agent; the coating refers to the process of uniformly applying the material to the substrate surface by spin coating, spray coating, or blade coating; the ultrathin photothermal conversion transparent hydrophobic polymer refers to a transparent hydrophobic polymer film doped with a trace amount of photothermal conversion nanoparticles, such as gold-doped nanorods. The fluorosilicone polymer film, the light trigger module refers to a device composed of a specific wavelength light source, a light guide element and a driving circuit, used to emit trigger light to activate a library of photoactive nanomaterials, such as a module composed of a 450nm blue LED array, a side light guide plate and a driving circuit; the environmental sensing module refers to a set of sensors used to monitor the surface touch frequency, humidity or temperature and other state parameters of the device in real time, such as a transparent capacitive touch frequency and humidity sensor; the state parameters refer to data reflecting the operating status of the device and the state of the coating; the individual pores in the three-dimensional microporous array refer to the basic structural units constituting the array; the inverted pyramid shape refers to a tetrahedral geometric shape with a large opening and gradually narrowing towards the depth of the substrate. The depth of a single pore refers to the vertical distance from its opening to its bottom; the opening width of a single pore refers to the size of the pore at its opening on the substrate surface; the regular arrangement refers to the periodic and uniform distribution of pores on a two-dimensional plane, such as a square or hexagonal lattice arrangement; the graded functional material refers to a class of advanced materials in which the composition, structure, or properties change continuously or stepwise in the thickness direction; doping refers to the process of intentionally incorporating small amounts of other substances into a matrix material to change its properties; the photothermal conversion nanoparticles refer to nanoscale materials that can efficiently convert absorbed light energy into heat energy, such as gold nanorods and tungsten oxide nanoparticles; and the specific wavelength light source refers to a light-emitting device whose emission spectrum peak is located at a specific wavelength.For example, an LED with an emission peak of 450 nm; the light guide element refers to an optical device that can guide and uniformly distribute the light emitted by the light source in the target area, such as a light guide plate or optical fiber; the driving circuit refers to an electronic circuit that provides a stable operating current and control signal to the light source; the intelligent module 4 refers to a hardware and software set integrating a core computing unit, a light triggering module, an environmental sensing module, and a remote update system interface; the intelligent module 4 also includes a processor, memory, and communication unit for running a coating health management algorithm; the emission peak wavelength of the specific wavelength light source refers to the wavelength corresponding to the highest intensity light in the emission spectrum of the light source, such as 450 nm; the photoresponse band of the photoactive nanomaterial library refers to the range of light wavelengths that can induce responsive changes in the photoactive nanomaterial library, such as the blue light band of 400-500 nm; the matching means that the emission peak wavelength of the specific wavelength light source is within the photoresponse band of the photoactive nanomaterial library.

[0026] Specifically, the micro-nano structure glass substrate 3, with its micro-nano structure interface and anchoring reserve layer 202 forming a mechanical interlocking structure, upgrades the coating bonding method from surface adhesion to volumetric embedding, enhancing the coating's mechanical stability against shear and peel, thus enabling it to withstand long-term, high-frequency physical friction and cleaning. The photo-triggered regenerative nanocomposite coating 2, with its gradient design combined with a photo-triggered regeneration mechanism, not only provides immediate hydrophobic and antibacterial functions but also can safely excite a deep photoactive nanomaterial library through light irradiation, achieving directional migration and functional repair of active ingredients to the surface. This solves the bottleneck of the one-time consumption of active ingredients in traditional coatings, achieving long-lasting antibacterial function. The intelligent module 4, by integrating a photo-triggered module, an environmental sensing module, and a remote update system, enables real-time monitoring of the coating status, intelligent maintenance decisions, and remote optimization and upgrading of strategies. This gives the device adaptive and evolvable intelligent management capabilities, significantly improving maintenance efficiency and reducing the total life cycle cost.

[0027] Please see Figure 2 As shown, this is a schematic diagram of the remote update system for the smart ordering card with nano-coating in this embodiment. The remote update system for the smart ordering card with nano-coating includes: The local data acquisition module is used to acquire operational data of the smart ordering board with nano-coating; The update recognition module is used to identify the update requirements of the smart ordering board with nano-coating based on the running data, and activate the user and firmware parameter update module and the nano-coating update module according to the update requirements. The update recognition module is connected to the local data acquisition module. The user and firmware parameter update module is used to obtain user and firmware parameter update data packets and update user parameters and firmware parameters according to the user and firmware parameter update data packets. The user and firmware parameter update module is connected to the update identification module. The coating maintenance and update module is used to obtain coating update data packages, update coating parameters according to the coating update data packages, monitor coating parameters, and optimize the coating update process based on the monitoring results. The coating maintenance and update module is connected to the update identification module.

[0028] Specifically, the remote update system for the nano-coated smart ordering card is applied to the smart module of the nano-coated smart ordering card. This system centrally manages, distributes, updates, and optimizes the card's application, device firmware, and core coating maintenance strategy model. Through an intelligent update identification and optimization mechanism, it ensures the device's functionality remains up-to-date and maximizes coating maintenance efficiency, while also guaranteeing the security and reliability of the update process. In particular, the system uses a local data acquisition module to collect real-time and comprehensive device operating data, providing an accurate and timely data foundation for the remote update system's intelligent decision-making. This is a prerequisite for achieving precise and personalized updates. Furthermore, the system employs a dual judgment mechanism—multi-version comparison and operational status awareness—through the update identification module to accurately identify update needs and intelligently schedule update timing, ensuring both the necessity of updates and the accuracy of updates. To minimize disruption to normal equipment operation during the update process and enhance the practicality and user experience, the remote update system for the nano-coated smart ordering board utilizes encrypted transmission and security verification mechanisms in the user and firmware parameter update module. This ensures the integrity and security of update data during transmission and installation, preventing data tampering and theft, and guaranteeing reliable upgrades to the equipment's basic functions. Furthermore, the system employs a coating maintenance update module for in-depth monitoring and intelligent analysis of coating parameters. This not only enables remote dynamic updates of coating maintenance strategies but also innovatively introduces an optimization and anomaly warning mechanism based on consumption rate monitoring and contact material risk assessment. This allows the system to promptly detect abnormal material consumption, potential leakage risks, and changes in the external environment, and dynamically adjust maintenance strategies and alarm thresholds. This transforms the maintenance mode of the smart ordering board from reactive repair to proactive warning and optimization, significantly improving equipment reliability and lifespan, and reducing operational risks associated with sudden failures.

[0029] Specifically, when the local data acquisition module acquires the operating data of the smart ordering board with nano-coating, it acquires the operating data of the smart ordering board with nano-coating in real time through the smart module to obtain the operating data.

[0030] Specifically, the operational data refers to the set of information collected from the smart ordering board that reflects its software, hardware, and coating status. This includes the user parameter version, firmware parameter version, and coating parameter version of the ordering board, as well as the operational status and coating parameters of the smart ordering board with a nano-coating. The user parameter version refers to the version identifier of the ordering application installed on the current device and the user configuration. The firmware parameter version refers to the version identifier of the underlying hardware driver and control program running on the current device. The coating parameter version refers to the version identifier of the coating maintenance strategy model running in the smart module of the current device. The operational status of the smart ordering board with a nano-coating refers to the different time periods during which the device is available for customer ordering or is in standby maintenance. The operational status of the smart ordering board with a nano-coating includes idle and non-idle periods. Idle periods refer to preset or sensor-determined periods of extremely low device usage, suitable for background maintenance. Non-idle periods refer to business hours during which the device is being or may be used by customers. The coating parameters refer to a series of variables used to describe, evaluate, and optimize the performance and state of the phototriggered regeneration nanocomposite coating. These parameters include the effective material quantity K of the photoactive nanomaterial library, the coating replacement time T, the actual change ΔK, the theoretical change ΔK1, and the contact material of the order form. The effective material quantity K of the photoactive nanomaterial library refers to the quantified value of the remaining usable functional active substances in the coating anchoring reserve layer, obtained through model estimation or indirect sensor monitoring. The coating replacement time T refers to the time interval between the last replacement of the photoactive nanomaterial library and the current replacement. The actual change ΔK refers to the actual reduction in the effective material quantity K within a unit monitoring cycle. The theoretical change ΔK1 refers to the predicted reduction in the effective material quantity K within the same unit cycle, based on the coating maintenance strategy model and historical usage data. The contact material of the order form refers to various substances that may come into contact with the surface of the order form during daily use, such as skin oils, detergents, food residues, and beverages.

[0031] Specifically, the local data acquisition module collects device operation data in real time and comprehensively, providing an accurate and timely data foundation for the intelligent decision-making of the remote update system, which is a prerequisite for achieving precise and personalized updates.

[0032] Specifically, when the update identification module identifies the update requirement of the smart ordering card with nano-coating based on the operating data, it compares the user parameter version, firmware parameter version, and coating parameter version of the ordering card in the operating data with the user parameter version, firmware parameter version, and coating parameter version of the ordering card in the cloud, respectively. Based on the comparison results, it determines the update requirement of the smart ordering card with nano-coating, and activates the user and firmware parameter update module and the nano-coating update module based on the determination results. When the user parameter version of the order card is consistent with the user parameter version of the cloud order card, the firmware parameter version of the order card is consistent with the firmware version of the cloud order card, and the coating parameter version of the order card is consistent with the coating parameter version of the cloud order card, it is determined that the update requirement of the smart order card with nano-coating is not required, and the user and firmware parameter update module and the nano-coating update module are not activated. When the user parameter version of the order card is inconsistent with the user parameter version of the order card in the cloud, it is determined that the update requirement of the smart order card with nano-coating is to update the user parameters and activate the user and firmware parameter update module. When the firmware parameter version of the order card is inconsistent with the firmware parameter version of the order card in the cloud, it is determined that the update requirement of the smart order card with nano-coating is to update the firmware parameters and activate the user and firmware parameter update module. When the coating parameter version of the order form is inconsistent with the coating parameter version of the order form in the cloud, it is determined that the smart order form with nano-coating needs to be updated, and the nano-coating update module is activated. When the update identification module activates the user and firmware parameter update module and the nano-coating update module according to the update requirements, it selects the activation process for the user and firmware parameter update module and the nano-coating update module based on the operating status of the smart ordering board with nano-coating, wherein: When the smart ordering board with nano-coating is in an idle period, the process of activating the user and firmware parameter update module and the nano-coating update module will be selected as immediate activation; When the smart ordering board with nano-coating is not in an idle period, the process of activating the user and firmware parameter update module and the nano-coating update module will be selected as waiting for activation.

[0033] Specifically, the cloud-based ordering card user parameter version refers to the latest ordering application and user configuration version identifier stored on the cloud server; the cloud-based ordering card firmware parameter version refers to the latest device firmware version identifier stored on the cloud server; the cloud-based ordering card coating parameter version refers to the latest coating maintenance strategy model version identifier stored on the cloud server; activation refers to the remote update system of the smart ordering card with nano-coating starting the user and firmware parameter update module and the coating maintenance update module to execute the operation instructions for parameter update and coating update; immediate activation means that after identifying the update requirement, the update module is started to execute the update process without delay; and waiting for activation means that after identifying the update requirement, the task is suspended until the device enters an idle period before starting the update module to execute the update process.

[0034] Specifically, the update identification module uses a dual judgment mechanism of multi-version comparison and operation status perception to accurately identify update needs and intelligently schedule update timing. This ensures the necessity of updates while minimizing interference with normal equipment operation during the update process, thereby improving the practicality of updates and user experience.

[0035] Specifically, when the user and firmware parameter update module updates the user parameters and firmware parameters according to the user and firmware parameter update data packet, it sends a request for obtaining the user and firmware parameter update data packet to the cloud. The cloud transmits the encrypted user and firmware parameter update data packet to the user and firmware parameter update module. The user and firmware parameter update module decrypts the encrypted user and firmware parameter update data packet to obtain the user and firmware parameter update data packet, and updates the user parameters and firmware parameters according to the user and firmware parameter update data packet.

[0036] Specifically, the cloud refers to a remote network server cluster that provides data storage, computing, and distribution services. The user and firmware parameter update data packet acquisition request refers to a network instruction initiated to the cloud to request a specific update data file. The encrypted user and firmware parameter update data packet refers to a confidential data transmission format obtained by processing the original update data packet using an encryption algorithm. Encryption refers to the process of converting plaintext data into ciphertext that cannot be directly understood using a cryptographic algorithm, such as using the AES-256 symmetric encryption algorithm for encryption and the RSA-2048 asymmetric encryption algorithm for encrypting the session key used for encryption. Decryption refers to the process of restoring the ciphertext data to the original plaintext data using a key. For example, the device uses its stored private key to decrypt using the RSA-2048 algorithm to obtain the session key, and then uses the session key to decrypt using the AES-256 algorithm to obtain the user and firmware parameter update data packet. Parameter update refers to the process of replacing the old version of the file or configuration data in the device with the new version of the file or configuration data.

[0037] Specifically, the user and firmware parameter update module uses encrypted transmission and security verification mechanisms to ensure the integrity and security of update data during transmission and installation, prevent data from being tampered with or stolen, and ensure reliable upgrades of the device's basic functions.

[0038] Specifically, when the coating maintenance and update module updates the coating parameters according to the coating update data packet, it sends a coating update data packet acquisition request to the cloud. The cloud transmits the encrypted coating update data packet to the coating maintenance and update module. The coating maintenance and update module decrypts the encrypted coating update data packet to obtain the coating update data packet and updates the coating parameters according to the coating update data packet. When the coating maintenance and update module monitors the coating parameters, it acquires the coating parameters obtained in real time by the local data acquisition module, compares the effective material quantity K of the photoactive nanomaterial library in the coating parameters with the effective material quantity replacement threshold K0, and optimizes the coating update process when K≤K0. The optimization method is as follows: while updating the coating parameters according to the coating update data package, a photoactive nanomaterial library replacement reminder is sent to the administrator terminal, and the administrator replaces the photoactive nanomaterial library. When the coating maintenance and update module monitors the coating parameters, it also acquires the coating replacement time T, compares the coating replacement time T with the theoretical time T0, and determines that the consumption of the photoactive nanomaterial library is abnormal when T < T0. At this time, it acquires the actual change ΔK and the theoretical change ΔK1 of the effective material quantity K of the photoactive nanomaterial library in the coating parameters. Based on the actual change ΔK and the theoretical change ΔK1, it calculates the actual-theoretical difference KK1, sets KK1 = ΔK - ΔK1, and judges the change of the photoactive nanomaterial library based on the actual-theoretical difference KK1. The optimization process is adjusted according to the judgment, wherein: The preset actual-theoretical difference is set to KK0; When 0≤KK1<KK0, the change in the photoactive nanomaterial library is considered to be within the normal range, and no adjustment is made to the optimization process. When KK1≥KK0, the change in the photoactive nanomaterial library is determined to be a risk of leakage. The optimization process is adjusted by stopping the coating update and stopping the operation of the smart ordering board with nano-coating. At the same time, a device material leakage reminder is sent to the administrator terminal, and the administrator is responsible for inspecting and repairing the smart ordering board with nano-coating. When KK1 < 0, the change in the photoactive nanomaterial library is determined to be an abnormal coating parameter data. The coating parameters are then reacquired and tested. When monitoring coating parameters, the coating maintenance and update module also inputs the contact materials of the menu cards into the vulnerable component analysis model. The vulnerable component analysis model outputs the vulnerable component risk level of each contact material of the menu cards. The vulnerable component risk level of each contact material of the menu cards includes high vulnerability level, medium vulnerability level, low vulnerability level, and no vulnerability level. The coating maintenance and update module judges the validity of the preset actual theoretical difference KK0 based on the vulnerable component risk level of each contact material of the menu cards, and corrects the preset actual theoretical difference KK0 according to the judgment result, wherein: Remove the non-vulnerable category from the risk level of vulnerable components of materials that come into contact with each menu item; When the number of highly vulnerable components in the risk level of the materials in contact with each menu item is greater than or equal to 1, the validity of the preset actual theoretical difference KK0 is deemed invalid, and the preset actual theoretical difference KK0 is corrected. When the number of medium-vulnerability level components in the risk level of vulnerable components of each menu contact material is greater than or equal to 3, the validity of the preset actual theoretical difference KK0 is determined to be invalid, and the preset actual theoretical difference KK0 is corrected. When the number of medium-vulnerability risk levels in the vulnerable components of the contact materials of each menu item is greater than or equal to 6, the validity of the preset actual theoretical difference KK0 is deemed invalid, and the preset actual theoretical difference KK0 is corrected. When the coating maintenance and update module corrects the preset actual theoretical difference KK0, it sets the corrected preset actual theoretical difference to KK0`, where KK0` = [100% + 5% × Gg + 3% × (Gz - 2) + 1% × (Gd - 5)] × KK0. When Gg < 1, Gg = 0; when Gz < 3, Gz = 0; and when Gd < 6, Gd = 0. The optimization process is adjusted according to the corrected preset actual theoretical difference KK0`.

[0039] Specifically, the coating update data packet acquisition request refers to a network instruction initiated from the cloud to request the latest coating maintenance strategy model data file. The coating update refers to the process of replacing the old version of the model data in the device with the new version of the coating maintenance strategy model data. The effective material quantity replacement threshold K0 refers to a preset critical value of the remaining effective material quantity that triggers the photoactive nanomaterial library replacement reminder. The administrator terminal refers to an electronic device held by the restaurant administrator or maintenance personnel for receiving system reminders and alarm information, such as a mobile phone, computer, or dedicated pager. The photoactive nanomaterial library replacement reminder refers to a notification message sent by the system to the administrator terminal, prompting that physical maintenance of the device is required to replenish or replace the coating active material. The "administrator" refers to the operator responsible for the daily maintenance and management of the equipment. The "replacing the photoactive nanomaterial library" refers to the physical maintenance operation performed by professionals to disassemble the equipment and replenish or completely replace the depleted or nearly depleted functional active materials. The "theoretical time T0" refers to the theoretical time, predicted by the coating maintenance strategy model, from when the effective material quantity K falls below the threshold K0 until the material is completely depleted. The "preset actual theoretical difference value KK0" refers to the system-preset difference benchmark value used to determine whether material consumption is abnormal. The "equipment material leakage reminder" refers to an emergency alarm message sent by the system to the administrator terminal, indicating that the coating may have physical damage or failure risks and requires immediate repair. The "detection and repair" refers to the administrator's... Upon receiving an alarm, the operational process involves physical inspection, fault location, and repair of the equipment. The vulnerable component analysis model refers to a trained data analysis model capable of analyzing and outputting the risk level of damage caused by the input menu card contact material type to the phototriggered regeneration nanocomposite coating. This embodiment does not limit the construction method of the vulnerable component analysis model; those skilled in the art can freely set it according to actual needs, as long as it meets the requirement of outputting the risk level of vulnerable components of each menu card contact material. For example, the vulnerable component analysis model can be set to be trained using a machine learning classification algorithm based on historical maintenance data and a material chemical property database. The elimination of non-vulnerability grades in the risk classification refers to ignoring material types that are assessed by the model as not causing damage to the coating when calculating the number of risk grades for threshold correction. This embodiment is based on laboratory simulated contact acceleration testing, and statistical analysis of the experimental data from these tests shows that when Gg ≥ 1, for each highly vulnerable grade, the preset actual theoretical difference KK0 increases by 5%; when Gz < 3 grades, the variation range of the preset actual theoretical difference KK0 is small and negligible; when Gz ≥ 3 grades, for each moderately vulnerable grade, the preset actual theoretical difference KK0 increases by 3%; when Gd < 6 grades, the variation range of the preset actual theoretical difference KK0 is small and negligible; when Gd ≥ 6 grades…For each low vulnerability level present, the preset actual theoretical difference KK0 increases by 1%. The aforementioned 5%, 3%, and 1% are determined through statistical analysis of experimental data from laboratory simulated contact acceleration tests. The method for laboratory simulated contact acceleration tests involves exposing the light-triggered regenerated nanocomposite coating to different types of menu board contact materials and quantitatively measuring the actual impact of menu board contact materials with different vulnerability risk levels on the actual change ΔK of the photoactive nanomaterial library, thereby fitting values ​​of 5%, 3%, and 1%.

[0040] Specifically, the coating maintenance and update module, through in-depth monitoring and intelligent analysis of coating parameters, not only enables remote dynamic updates of coating maintenance strategies, but also innovatively introduces an optimization and anomaly early warning mechanism based on consumption rate monitoring and contact material risk assessment. This allows the system to promptly detect abnormal material consumption, potential leakage risks, and changes in the external environment, and dynamically adjust maintenance strategies and alarm thresholds. This transforms the maintenance mode of the smart ordering board from post-repair to pre-warning and optimization, greatly improving the reliability and service life of the equipment and reducing operational risks caused by sudden failures.

[0041] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A smart ordering board with a nano-coating, characterized in that, The smart ordering board with nano-coating includes: An ultra-thin, high-transparency protective layer, a light-triggered regeneration nanocomposite coating, a micro / nano structured glass substrate, and a smart module, among which: The micro-nano structured glass substrate is a micro-nano structured interface that has undergone micro-nano processing, and the micro-nano structured interface has a three-dimensional micro-pore array. The light-triggered regenerative nanocomposite coating includes a contact response layer and an anchoring reserve layer. The anchoring reserve layer is filled with liquid phase and solidified in the three-dimensional micro-pore array of the micro-nano structure interface on the micro-nano structure glass substrate to form a micro-nano scale mechanical interlocking structure. The anchoring reserve layer contains a library of photoactive nanomaterials. An ultrathin photothermal conversion transparent hydrophobic polymer is coated on the anchoring reserve layer to obtain the contact response layer. The intelligent module incorporates a light trigger module, an environmental sensing module, and a remote update system for the intelligent ordering board with a nano-coating. This system monitors the status parameters of the intelligent ordering board in real time and transmits these parameters to the remote update system for remote updating of the intelligent ordering board.

2. The smart ordering board with nano-coating according to claim 1, characterized in that, In the micro-nano structured glass substrate, the individual pores in the three-dimensional micro-pore array on the micro-nano structure interface are inverted pyramid-shaped, with a depth of D1 of 5 micrometers ≤ D1 ≤ 100 micrometers and an opening width of D2 of 1 micrometer ≤ D2 ≤ 20 micrometers. The three-dimensional micro-pore array is arranged in a regular pattern.

3. The smart ordering board with nano-coating according to claim 1, characterized in that, The phototriggered regeneration nanocomposite coating is a graded functional material. The portion of the graded functional material filling the pores of the micro-nano structure interface constitutes an anchoring reserve layer. The ultrathin photothermal conversion transparent hydrophobic polymer layer on top of it constitutes a contact response layer. The contact response layer is doped with photothermal conversion nanoparticles.

4. The smart ordering board with nano-coating according to claim 3, characterized in that, The light triggering module in the smart module includes a specific wavelength light source, a light guide element, and a driving circuit. The emission peak wavelength of the specific wavelength light source matches the photoresponse band of the photoactive nanomaterial library.

5. A remote update system for a smart ordering board with a nano-coating as described in any one of claims 1-4, characterized in that, The remote update system for the smart order card with nano-coating includes: The local data acquisition module is used to acquire operational data of the smart ordering board with nano-coating; The update identification module is used to identify the update requirements of the smart ordering board with nano-coating based on the running data, and to activate the user and firmware parameter update module and the nano-coating update module according to the update requirements. The user and firmware parameter update module is used to obtain user and firmware parameter update data packets and update user parameters and firmware parameters according to the user and firmware parameter update data packets. The coating maintenance and update module is used to obtain coating update data packages, update coating parameters according to the coating update data packages, monitor coating parameters, and optimize the coating update process based on the monitoring results.

6. The remote update system for the smart ordering board with nano-coating according to claim 5, characterized in that, When the update identification module identifies the update requirement of the nano-coated smart ordering board based on the operating data, it compares the user parameter version, firmware parameter version, and coating parameter version of the ordering board in the operating data with the user parameter version, firmware parameter version, and coating parameter version of the cloud-based ordering board, respectively. Based on the comparison results, it determines the update requirement of the nano-coated smart ordering board and activates the user and firmware parameter update module and the nano-coating update module based on the determination results. When the user parameter version of the order card is consistent with the user parameter version of the cloud order card, the firmware parameter version of the order card is consistent with the firmware version of the cloud order card, and the coating parameter version of the order card is consistent with the coating parameter version of the cloud order card, it is determined that the update requirement of the smart order card with nano-coating is not required, and the user and firmware parameter update module and the nano-coating update module are not activated. When the user parameter version of the order card is inconsistent with the user parameter version of the order card in the cloud, it is determined that the update requirement of the smart order card with nano-coating is to update the user parameters and activate the user and firmware parameter update module. When the firmware parameter version of the order card is inconsistent with the firmware parameter version of the order card in the cloud, it is determined that the update requirement of the smart order card with nano-coating is to update the firmware parameters and activate the user and firmware parameter update module. When the coating parameter version of the order form is inconsistent with the coating parameter version of the order form in the cloud, it is determined that the smart order form with nano-coating needs to be updated, and the nano-coating update module is activated.

7. The remote update system for the smart ordering board with nano-coating according to claim 6, characterized in that, When the update identification module activates the user and firmware parameter update module and the nano-coating update module according to the update requirements, it selects the activation process for the user and firmware parameter update module and the nano-coating update module based on the operating status of the smart ordering board with nano-coating, wherein: When the smart ordering board with nano-coating is in an idle period, the process of activating the user and firmware parameter update module and the nano-coating update module will be selected as immediate activation; When the smart ordering board with nano-coating is not in an idle period, the process of activating the user and firmware parameter update module and the nano-coating update module will be selected as waiting for activation.

8. The remote update system for the smart ordering board with nano-coating according to claim 5, characterized in that, When the user and firmware parameter update module updates the user parameters and firmware parameters according to the user and firmware parameter update data packet, it sends a request for obtaining the user and firmware parameter update data packet to the cloud. The cloud transmits the encrypted user and firmware parameter update data packet to the user and firmware parameter update module. The user and firmware parameter update module decrypts the encrypted user and firmware parameter update data packet to obtain the user and firmware parameter update data packet, and updates the user parameters and firmware parameters according to the user and firmware parameter update data packet. When the coating maintenance and update module updates the coating parameters according to the coating update data packet, it sends a coating update data packet retrieval request to the cloud. The cloud transmits the encrypted coating update data packet to the coating maintenance and update module. The coating maintenance and update module decrypts the encrypted coating update data packet to obtain the coating update data packet, and updates the coating parameters according to the coating update data packet.

9. The remote update system for the smart ordering board with nano-coating according to claim 8, characterized in that, When the coating maintenance and update module monitors the coating parameters, it acquires the coating parameters obtained in real time by the local data acquisition module, compares the effective material quantity K of the photoactive nanomaterial library in the coating parameters with the effective material quantity replacement threshold K0, and optimizes the coating update process when K≤K0. The optimization method is as follows: while updating the coating parameters according to the coating update data package, a photoactive nanomaterial library replacement reminder is sent to the administrator terminal, and the administrator replaces the photoactive nanomaterial library. When the coating maintenance and update module monitors the coating parameters, it also acquires the coating replacement time T, compares the coating replacement time T with the theoretical time T0, and determines that the consumption of the photoactive nanomaterial library is abnormal when T < T0. At this time, it acquires the actual change ΔK and the theoretical change ΔK1 of the effective material quantity K of the photoactive nanomaterial library in the coating parameters. Based on the actual change ΔK and the theoretical change ΔK1, it calculates the actual-theoretical difference KK1, sets KK1 = ΔK - ΔK1, and judges the change of the photoactive nanomaterial library based on the actual-theoretical difference KK1. The optimization process is adjusted according to the judgment, wherein: The preset actual-theoretical difference is set to KK0; When 0≤KK1<KK0, the change in the photoactive nanomaterial library is considered to be within the normal range, and no adjustment is made to the optimization process. When KK1≥KK0, the change in the photoactive nanomaterial library is determined to be a risk of leakage. The optimization process is adjusted by stopping the coating update and stopping the operation of the smart ordering board with nano-coating. At the same time, a device material leakage reminder is sent to the administrator terminal, and the administrator is responsible for inspecting and repairing the smart ordering board with nano-coating. When KK1 < 0, the change in the photoactive nanomaterial library is determined to be an abnormal coating parameter data. The coating parameters are then reacquired and tested.

10. The remote update system for the smart order card with nano-coating according to claim 9, characterized in that, When monitoring coating parameters, the coating maintenance and update module also inputs the contact materials of the menu cards into the vulnerable component analysis model. The vulnerable component analysis model outputs the vulnerable component risk level of each contact material of the menu cards. The vulnerable component risk level of each contact material of the menu cards includes high vulnerability level, medium vulnerability level, low vulnerability level, and no vulnerability level. The coating maintenance and update module judges the validity of the preset actual theoretical difference KK0 based on the vulnerable component risk level of each contact material of the menu cards, and corrects the preset actual theoretical difference KK0 according to the judgment result, wherein: Remove the non-vulnerable category from the risk level of vulnerable components of materials that come into contact with each menu item; When the number of highly vulnerable components in the risk level of the materials in contact with each menu item is greater than or equal to 1, the validity of the preset actual theoretical difference KK0 is deemed invalid, and the preset actual theoretical difference KK0 is corrected. When the number of medium-vulnerability level components in the risk level of vulnerable components of each menu contact material is greater than or equal to 3, the validity of the preset actual theoretical difference KK0 is determined to be invalid, and the preset actual theoretical difference KK0 is corrected. When the number of medium-vulnerability risk levels in the vulnerable components of the contact materials of each menu item is greater than or equal to 6, the validity of the preset actual theoretical difference KK0 is deemed invalid, and the preset actual theoretical difference KK0 is corrected. When the coating maintenance and update module corrects the preset actual theoretical difference KK0, it sets the corrected preset actual theoretical difference to KK0`, where KK0` = [100% + 5% × Gg + 3% × (Gz - 2) + 1% × (Gd - 5)] × KK0. When Gg < 1, Gg = 0; when Gz < 3, Gz = 0; and when Gd < 6, Gd = 0. The optimization process is adjusted according to the corrected preset actual theoretical difference KK0`.

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