45results about How to "Achieve transparency" patented technology

The invention discloses a block chain-based digital right encryption management method and system, and relates to the technical field of digital right security management. According to the method, a unique identifier is generated for digital asset information through a Hash algorithm, data privacy is ensured by using asymmetric encryption, and asset uniqueness identification and information encryption protection are realized; according to the method, encrypted asset information is subjected to uplink evidence storage through an intelligent contract, node verification is carried out by adopting a consensus algorithm, tampering resistance, authenticity and transparency of the asset information are analyzed, authenticity of digital assets and safety and reliability of storage are guaranteed, legality of ownership transfer is verified through a consensus mechanism when the digital assets are transacted or transferred, and security and reliability of the digital assets are guaranteed. It is ensured that the transaction meets the preset compliance standard, the asset state on the block chain is updated in real time, and the security and compliance of the transaction are improved; the asset ownership history and the transaction path are tracked and recorded through the traceability mechanism of the block chain, and the traceability and transparency of the asset circulation process are realized.

The invention provides a distributed energy regulation and control method and system based on 5G network and block chain collaboration, and the method comprises the steps: building an energy block chain-based IES power transaction architecture which comprises a block chain node; docking the regulation and control object with a block chain node in an IES power transaction architecture, wherein the block chain node is used for storing the smart contract subjected to security verification; constructing a distributed energy optimization scheduling model considering the 5G network and a mathematical model of a cooperative scheduling mechanism; and the intelligent contract generates a scheduling instruction according to the distributed energy optimization scheduling model and the mathematical model of the cooperative scheduling mechanism, and the scheduling instruction value is issued to the power generation and utilization unit after passing constraint condition check.

The invention discloses a full-life-cycle-oriented product management system and management method, and relates to the technical field of product management, and the method comprises the steps: dividing a product life cycle, and determining the product data management content of each stage; performing preliminary analysis on the product data in the cache by using an AI technology; according to a root node number and a version number of a product, combining with the preliminary analysis report, recursively obtaining product data of each sub-node, constructing a virtual simulation model by utilizing a digital twin technology and combining with a classification result, carrying out full life cycle tracking through a block chain technology, and carrying out detection and warning by utilizing an AI technology; when the life cycle of the product is finished, product data updating is stopped; according to the method, the product life cycle is divided, the data management content of each stage is clarified, and the AI technology and the digital twinning technology are introduced, so that automatic acquisition, anomaly detection and simulation modeling of the product data are realized, and the overall efficiency and accuracy of product data management are remarkably improved.

The invention discloses a factoring service sharing, cross validation and cooperative processing method and device based on a block chain, and the method comprises the steps: a supplier proposes a factoring application, and carries out the uploading of the data of a seller contract, a bill, a settlement sheet and a laboratory sheet; the core enterprise uplinks buyer contract, bill, settlement sheet and laboratory sheet data; the block chain performs cross validation on the uplink data of the seller and the buyer, and after a factoring company signs a factoring contract, factoring contract information and account receivable information are uplink; the buyer legal department obtains factoring contracts and account receivable information through the block chain, and verifies authenticity; and the buyer pays according to the checked real information. According to the method and the system, the authenticity of the transaction information can be jointly verified by the service participants and whether the data have flaws can be judged in a manner of uploading the basic transaction data and sharing the information by the participants, so that the factoring service risk can be effectively reduced, the account receivable quality can be improved, and the factoring service development risk can be reduced.

The invention discloses a special first-aid medicine and article storage and distribution construction system and method. The system comprises an Internet of Things module, a multi-subject cooperation module, an inter-hospital cooperation module, a cloud computing platform module, a block chain module, an intelligent scheduling center module, a storage network module and an emergency response module. The method comprises the steps of 1, demand integration and joint purchase; step 2, storage network construction and inventory optimization; step 3, intelligent scheduling and path planning; 4, emergency response and cross-mechanism deployment are carried out; 5, whole-process tracing and data uploading are carried out; step 6, performance monitoring and continuous optimization; according to the invention, a special first-aid medicine and article storage and distribution construction system is designed, and standardized data interaction and close cooperation among medical institutions, suppliers and logistics enterprises are realized by establishing a multi-subject cooperation mechanism such as joint purchase, inventory sharing, emergency allocation and performance monitoring. The joint purchasing module gathers the purchasing demands of the medical institutions in the region.

The invention provides an animation display method and device based on iOS, a storage medium and electronic equipment, the method is applied to any iOS client, and the method comprises the steps that target user parameters issued by a server are received, and the target user parameters comprise a target user head portrait, a target user name and a target user animation identifier; based on the target user animation identifier, determining a corresponding target VAP video animation, each VAP video animation having transparency and having a head portrait display area and a character display area; and rendering the target VAP video animation based on the target user head portrait and the target user name, and displaying the target VAP video animation. According to the scheme, on the basis of the VAP video animation, more individuation and interaction requirements are considered, and a better animation display effect is achieved.

The invention discloses an enteral nutrition information management method and system based on artificial intelligence, and relates to the technical field of medical artificial intelligence, and the method comprises the steps: carrying out the forward reasoning of an intestinal function-clinical decision fusion feature vector through an artificial intelligence decision model, obtaining a decision probability distribution vector, and carrying out the optimization and integration in combination with a clinical constraint condition, generating a nutrition intervention parameter set; performing decision basis analysis on the nutrition intervention parameter set, calculating each feature contribution degree, mapping each feature contribution degree into a natural language description fragment, and generating an enteral nutrition AI decision traceability report; and performing clinical research and judgment on the nutrition intervention parameter set and the enteral nutrition AI decision traceability report to generate an enteral nutrition clinical decision execution scheme. According to the method, the contribution degree of each feature is calculated and mapped into the natural language description fragment, the enteral nutrition AI decision traceability report is generated, transparency and interpretability of an artificial intelligence decision process are realized, and trust and adoption efficiency of an intelligent result are enhanced.

The invention provides an SPI (Serial Peripheral Interface) communication method and system based on double GPIOs (General Purpose Input / Output) and a storage medium, in the method, two GPIOs are added to respectively transmit two states of'transmission ready 'and'data ready' to form a double notification mechanism, so that the state of a slave device is transparent to a master device, and the master device can intelligently dispatch and transmit; according to the invention, the capability of actively initiating transmission by the slave device is realized, bidirectional cooperative communication is completed, the slave device immediately prepares the next frame of data (even empty frame) and actively pulls up the first GPIO signal line after each SPI transmission is finished, so that the slave device is always in a real-time online state, the waiting time of the master device is greatly reduced, and the transmission efficiency of the slave device is improved. Communication delay is converted from'preparation time 'to nearly pure'transmission time', and the bus utilization rate and the system response efficiency are greatly improved.

The invention relates to the technical field of fuel intelligent management and control, and particularly discloses a sampling and processing integrated automatic control method and system based on batch management. The method comprises the following steps: firstly, creating a full-process dynamic data file with a unique identifier ID for each batch of materials; in the sampling link, a sample is bound with the intelligent container, and the multi-dimensional identity features are associated; in the sample processing process, operating parameters are collected in real time and compared with a preset standard, and the process confidence coefficient of the data file is dynamically calculated and updated; during sample circulation, bidirectional ID verification is carried out through a handshake request, decision making is carried out in combination with the process confidence coefficient, and subsequent equipment is authorized to be started only when verification is passed and the confidence coefficient is higher than a safety threshold value; when the sample is segmented, the data file is also split and completely inherits historical information. Through active inquiry and dynamic evaluation, forced consistency of physical samples and digital information in the whole process is realized, and the reliability of quality detection results is ensured.

The invention relates to the technical field of cutting, detecting, hole separating and plate arranging, in particular to an automatic cutting, detecting, hole separating and plate arranging equipment system which comprises a discharging module, a mold hole number detecting module, a cutting module, a visual detecting module, a code printing module, a code scanning module, a plate arranging and sorting module and a control module. Wherein the discharging module is used for automatically feeding a material belt, the mold cavity number detection module is used for identifying a product mold cavity number, the cutting module is used for cutting a product PIN, the visual detection module is used for PIN quality detection and positioning, the code printing module is used for product marking, and the code scanning module is used for reading and identifying code information. The wobble plate sorting module is used for classifying and wobbling products according to mold cavity numbers; the control module is used for coordinating the working process of each module and integrating intelligent algorithms to optimize production parameters; full-process automation is achieved, manual intervention is greatly reduced, the production takt is improved, the method is suitable for large-scale continuous production, and the production efficiency and the automation level are improved.

The invention discloses an online payment system and method for vehicle maintenance service, and relates to the technical field of information. The method comprises the following steps: a service management end configures a first account for a vehicle management end, generates first account information and sends the first account information to the vehicle management end; the vehicle management end sends first account information to each first terminal; the vehicle management end configures a second account of each first terminal, generates second account information and sends the second account information to the corresponding first terminal; the target terminal determines the cost for transaction with the target supplier based on the first account information and the second account information, generates payment information and sends the payment information to the target supplier; the target supplier generates a payment voucher based on the payment information and sends the payment voucher to the service management end; and the service management end completes payment by using funds of the first account based on the payment voucher. According to the technical scheme provided by the invention, the logistics transportation management efficiency and the accuracy of the operation cost analysis result can be improved.

The invention relates to the technical field of resource management and information, and discloses a stadium resource information transmission system and method, and the system comprises a sensing module which is used for deploying multiple types of sensors and Internet of Things equipment, collecting resource information in a stadium, including a site occupation state, people flow information and equipment energy consumption data, and transmitting the resource information to a server; noise reduction, anomaly detection and standardization processing are carried out on the collected data; and the transmission module is used for realizing rapid transmission and primary processing of data through a self-adaptive data transmission protocol and an edge computing technology, and optimizing the transmission efficiency in combination with a multi-level cache mechanism. According to the invention, the data transmission efficiency and real-time performance are improved through accurate data acquisition, dynamic transmission optimization and a multi-level cache mechanism; resource scheduling optimization is realized by adopting deep reinforcement learning, and the resource utilization rate and the user experience are remarkably improved; and in combination with a block chain, differential privacy and zero-knowledge proof technology, data security and privacy protection are comprehensively guaranteed, and support is provided for efficient management of the stadium.

The invention discloses an aircraft system fault diagnosis method in a high-noise environment based on a node sensitivity graph network, and the method comprises the steps: enabling collected aircraft system fault data to be mapped to a frequency domain through fast Fourier transform, and dividing the data into a training set and a test set; an initialized adjacency matrix is adaptively constructed based on the sensitivity between the nodes; performing node information updating through a learnable polynomial to form a complete graph convolution layer; the node information serves as input to pass through the graph convolution layer again, and data features are obtained; iterative training is carried out, and the loss weight is dynamically adjusted; explaining the interpretability of the proposed method by visualizing the weight of each parameter; and inputting the test set data added with different noise levels into the trained graph network, and outputting a fault diagnosis result. According to the method, early fault signals of the aircraft system in a high-noise environment can be effectively processed, fault diagnosis with robustness and high accuracy is realized, and safe and stable operation of the aircraft system is guaranteed.

The invention discloses a cultivated land reserve resource investigation and evaluation method and system based on a convolutional neural network, particularly relates to the technical field of remote sensing image processing and cultivated land resource evaluation, and is used for solving the problem that an evaluation result is not accurate due to the fact that a preceding stage segmentation error is transmitted and amplified by a backward stage in a cascaded convolutional neural network. By identifying non-cultivated land transition zone pattern spots in the remote sensing image, a boundary fuzzy region is accurately positioned by adopting a fractal dimension change rate and optimal transmission cost distance dual-threshold judgment criterion; secondly, extracting a feature activation track of a transition zone pattern spot in the convolutional network, and establishing an error propagation weight coefficient calculation model; then, combining a boundary channel response value and a weight coefficient to generate a weighted feature offset, and constructing an error compensation mask; and finally, through pixel-level fusion of a mask and a post-level feature map, a terrain gradient and a connection degree evaluation index are corrected, an error transfer effect of a cascade architecture is significantly inhibited, and the reliability of a cultivated land reserve resource grading result is improved.

The present invention discloses a self-feedback recoverable coal seam seepage wetting system and a use method thereof, wherein the seepage wetting system comprises a monitoring system and a recoverable and enhanced coal seam seepage wetting system, detection holes are arranged on both sides of the seepage borehole, a cylindrical pipe with a tire-type plug is placed in the borehole, an acid-resistant high-pressure pipe is sent into a predetermined position in the cylindrical pipe together with a recoverable water injection device, a control display controls the recoverable water injection device, and a spring and an inner and outer hook body bite structure are used to complete the sealing of the cylindrical pipe by an expansion airbag, and under the control of the control display, a continuous water injection tank and an acid-resistant water injection pump are controlled to complete water injection, and the permeability and wetting properties of the water-injected coal seam are monitored in real time, and after the water injection operation is completed, the recoverable water injection device and the acid-resistant high-pressure pipe are recovered together, so as to realize continuous water injection, real-time monitoring and partial recovery of the water injection system, which can effectively improve the underground water injection efficiency and effect and reduce the coal seam water injection cost.

The embodiment of the present specification provides a kind of decision graph atlas graph data generation method and device.The method is executed by computer, comprising: reading first graph data from first storage area, wherein it includes the first node corresponding to the event attribute of first type business event.Several rules scripts are read from second storage area, rule script defines several decision rules, each decision rule includes identification field and expression field;Any variable included in the expression field of any decision rule is one of several event attributes or the identification value of the identification field of other decision rules.Through parsing rule script, determine second graph data, wherein it includes: parsing expression field obtains the dependent relationship between decision rule and event attribute and between each decision rule;Second graph data includes the second node corresponding to several rules, and the connection edge generated according to dependent relationship.Further, based on first graph data and second graph data, generate the graph data of decision graph atlas.

The invention discloses an Internet of Things tariff rule making method, device and equipment and a medium, which are applied to a block chain network comprising a plurality of consensus nodes, and the consensus nodes at least comprise an operator node, an enterprise client node and a supervisor node. The Internet of Things tariff rule making method comprises the following steps: in response to a tariff rule proposal request of an operator node, storing a target tariff rule in a block chain network; based on a consensus mechanism of the block chain network, each consensus node performs consensus decision on the target tariff rule, and marks the target tariff rule as an effective rule after reaching a consensus; and in response to a charging event of the Internet of Things equipment, calling an intelligent contract deployed on the block chain network to execute charging logic based on the effective rule, and generating a charging result. Multi-party consensus making and tampering-free publicity of the tariff rule are realized through the block chain smart contract, and transparency and credibility of the making process of the tariff rule of the Internet of Things are realized.

The invention belongs to the technical field of medical services, and particularly relates to an artificial intelligence-based accompanying person and patient matching system, which comprises a user terminal, an accompanying terminal, a cloud server and an artificial intelligence matching module, and is characterized in that the user terminal, the accompanying terminal, the cloud server and the artificial intelligence matching module are connected through signals; the artificial intelligence matching module is embedded into the cloud server, comprises a demand analysis sub-module, an ability portrait sub-module and a matching decision sub-module, and is used for analyzing user demands, constructing an accompanying person ability model, calculating a matching priority and providing a basis for order pushing; through an AI intelligent analysis and bidirectional interaction order grabbing and sending mechanism, accurate and efficient matching of patient demands and accompanying personnel service capabilities is realized.

The application belongs to the technical field of unmanned aerial vehicle communication, and particularly relates to an unmanned aerial vehicle communication system based on IPv6 multi-homing and multi-path transmission. The system configures independent IPv6 addresses for multiple heterogeneous links of the unmanned aerial vehicle, establishes a binding relationship between the links and the addresses, and generates a service session identifier; address-level state vectors are generated by periodically collecting link state parameters and associating the link state parameters with the IPv6 addresses; the available IPv6 addresses are comprehensively scored based on the state vectors, and the sending proportion of each address is determined according to the service category, so that data fragments are bound to different IPv6 source addresses and sent in parallel; when the link deteriorates, address-level degradation and rapid traffic switching are performed without changing the session identifier; the receiving end uniformly recombines the fragments from the multiple addresses according to the session identifier and the fragment sequence number, and delivers the fragments to the upper layer application. The application improves the communication throughput, stability and continuity of the unmanned aerial vehicle in a multi-link environment.

The invention provides a micro-gap heat conduction material specification selection device and method based on three-dimensional point cloud.The device comprises a placing tool, a transmission mechanism, an acquisition device and a control unit, the control unit receives three-dimensional point cloud data, analyzes and calculates the numerical value of a heat conduction gap between a circuit board and a shell according to the three-dimensional point cloud data, and sends the numerical value to the circuit board; measuring the manufacturing error of the thickness of the heat-conducting insulating pad; and the control unit is also used for performing matching judgment according to the actual thickness value of the heat-conducting insulating pad, the specification parameter of the current heat-conducting insulating pad and the heat-conducting gap corresponding to the heat-conducting insulating pad. According to the method, the influence of errors of the heat-conducting insulation pad material on model selection can be accurately evaluated, meanwhile, selection differences caused by different experiences of operators or different product cognizations are reduced or avoided, high-precision automatic selection of the specifications of the heat-conducting insulation pad is achieved, and mistaken selection of the thickness specifications of the heat-conducting insulation pad is effectively avoided.

The invention relates to the technical field of diatom ooze decorative plates, in particular to a fireproof and antibacterial diatom ooze decorative plate and a preparation method thereof.The fireproof and antibacterial diatom ooze decorative plate comprises a base material layer, a decorative layer and a fireproof and antibacterial coating which are sequentially arranged from bottom to top; the fireproof and antibacterial coating comprises the following raw materials in parts by weight: 3-6 parts of nano silicon dioxide, 6-10 parts of methacryloyloxyethyl hexadecyl dimethyl ammonium chloride, 20-30 parts of 2-hydroxyethyl methacrylate phosphate, 5-10 parts of [(6-oxo-6H-dibenzo [C, E] [1, 2, 3] triazolo [3, 4-b] pyrimidine-2-yl)-1, 2, 3-triazolo [ The invention relates to a UV (ultraviolet) photoinitiator, which is prepared from the following components in parts by weight: 10 to 20 parts of 2, 2] oxophosphahexane-6-yl) methyl] succinic acid bis (2-hydroxyethyl) ester, 80 to 100 parts of polyurethane acrylate resin, 3 to 5 parts of photoinitiator and 20 to 40 parts of organic solvent. According to the fireproof and antibacterial diatom ooze decorative plate and the preparation method thereof, on the premise of ensuring the mechanical strength, the fireproof and antibacterial diatom ooze decorative plate not only has an excellent decorative effect, but also has fireproof performance and antibacterial performance at the same time.

The embodiment of the invention provides an intelligent server assembling method and device, electronic equipment and a storage medium, and is used for the technical field of Internet of Things. The intelligent server assembly method comprises the following steps: updating an offline simulation model and an online simulation model according to a model structure data set and synchronously acquired real-time state data flow, and performing multi-objective optimization on a mixed production task through the offline simulation model according to received service parameters to obtain a candidate resource allocation data set, and evaluating and screening the candidate resource allocation data set through the online simulation model to obtain optimal resource allocation data, and performing conflict detection and routing planning on the optimal resource allocation data according to the space-time resource constraint set to generate a server assembly adjustment instruction sequence. According to the method, through multi-source real-time perception, candidate generation through offline simulation, online proxy rapid screening and space-time resolution and closed-loop execution, optimal resource allocation and high-precision traceability in the mixed line assembly production process are achieved.

The invention provides a social robot detection method based on uncertainty driving and agent dynamic arrangement, electronic equipment and a storage medium. The method comprises the following steps: obtaining a standardized data packet to be detected; calculating behavior entropy and detection uncertainty based on the to-be-detected data packet, and generating an agent activation signal; initializing a detection agent; outputting an accumulated evidence set based on the detection agent; converting the evidence set into a weighted undirected graph in a graph structure form; outputting a binary detection conclusion based on the weighted undirected graph; calculating a key evidence set; and obtaining a social robot detection conclusion based on the binary detection conclusion, the final abnormal risk score and the key evidence set. According to the method, behavior entropy and detection uncertainty are introduced as triggers, samples with low uncertainty are quickly intercepted or released only by using an extremely low-cost statistical rule, and intelligent agents are activated only for ambiguous samples with high uncertainty for deep detection, so that self-adaptive cost reduction and benefit increase of good steel applied to the cutting edge are realized.

The present invention proposes a material distribution method and system for SPS trolleys based on digital twins, and the method includes: installing multiple sensors in the factory environment, preprocessing real-time operation data, and constructing a digital twin model of the physical factory and the SPS trolley system; constructing a scheduling model based on reinforcement learning according to the digital twin model, and optimizing the material distribution path and strategy of the SPS trolley in real time; using a graph neural network to analyze and model historical data and real-time data, and predict the material requirements of each production node; constructing a multi-agent collaborative scheduling model based on the SPS trolley to dynamically adjust the scheduling strategy according to the predicted material requirements of each production node; sharing and collaboratively optimizing data between multiple factories or production lines; constructing a blockchain network to manage material distribution data, and recording each material distribution of the SPS trolley. The present invention realizes efficient management and optimization of the material distribution process, and promotes the intelligent and digital development of the manufacturing industry.

The invention relates to the technical field of medical data processing, in particular to a disease quality control marking system based on a heterogeneous mixed mode, which comprises a data access and preprocessing module, a unified feature space quality control module, a mixed marking guide module, a marking execution and arbitration module and an integrated output module, wherein the data access and preprocessing module is used for accessing original data of a target disease from a heterogeneous data source; the unified feature space quality control module is used for generating corresponding preliminary quality control suggestions; the mixed annotation guiding module is used for forming mixed annotation guiding information; and the annotation execution and arbitration module is used for generating an arbitrated annotation result according to a preset arbitration rule. According to the disease data labeling method and system, standardization, controllability and traceability of the disease data labeling process are achieved by constructing a unified feature expression, guided labeling execution and structured arbitration decision mechanism, and the consistency and quality control precision of labeling results are effectively improved.

The control method applied to the batch control system provided by the embodiments of the present specification sets a corresponding graphical device selection strategy for the production node in the batch production process to describe the device selection logic in a graphical manner. Compared with the pure text or code method, the graphical presentation enables the complex logic conditions, judgment branches and execution paths to be intuitively arranged in the form of visual elements such as nodes and lines to form a flowchart, thereby reducing the cognitive load and time cost of engineers in creating, reviewing and understanding the logic and improving the efficiency from the source. In addition, during the selection of the target device, the execution state of the production node and / or the execution process of the graphical strategy are displayed, the logic calculation process of the internal decision of the system is converted into visual information flow that can be perceived by the operator in real time, the internal process that is originally invisible becomes visible, and the transparency of the execution process is realized.

The invention provides a flexible film capable of independently regulating sunlight and infrared radiation as well as a preparation method and application of the flexible film, and belongs to the technical field of film materials. The flexible thin film comprises a polyethylene film (PE film), an infrared radiance adjusting layer, a first electrode layer, a first elastic solid electrolyte layer, a first ion storage layer, a second electrode layer, a first transparent base film, a third electrode layer, an electrochromic layer, a second elastic solid electrolyte layer, a second ion storage layer and a fourth electrode layer which are sequentially stacked. A second transparent base film, a pressure-sensitive adhesive layer and a release film. The flexible thin film can realize independent dynamic regulation and control of visible light, near-infrared light and infrared radiation.

The present application relates to the technical field of edge communication, and particularly relates to a method, device, equipment and system for communication based on an edge gateway, which unifies a large number of edge devices to access a network using one IP address through address conversion, so as to reduce the demand for IP addresses in a public network / bearer network, save a large number of IP address resources in the bearer network, realize intensive use of IP address resources, reduce the demand for special network devices, and reduce hardware investment costs; the real address of an internal network object is hidden behind a gateway address through dynamic address conversion operation, so as to reduce the security risks of internal network topology exposure; the session state of each request is accurately recorded, a reliable link matching basis is provided for reverse dynamic address conversion, link confusion and conversion errors are reduced, the transparency of bidirectional communication between a request end and an object is realized, the request end does not need to perceive the internal network structure, and the object also does not need to expose the real address, so that the bidirectional communication efficiency and security are greatly improved.

This application provides a blockchain-based data update method and apparatus. The blockchain-based data update method includes: sending proposal information to the blockchain, wherein the proposal information carries a first resource for the proposal information; in response to determining that the first resource has reached a first resource threshold, voting on the proposal information and recording the number of votes; and in response to determining that the number of votes meets the passing condition, applying the proposal information to the blockchain. This achieves open and transparent voting, allowing the proposal information to be directly applied to the blockchain once the number of votes meets the passing condition, thereby reducing the operational steps for off-chain personnel and improving the timeliness of proposal information application.

This utility model discloses a lens protection device for image analysis in the field of lens protection technology. It includes an image analysis base, a bracket mounted at the rear end of the base, and a mounting cavity mounted above the front end of the bracket. A lens is slidably mounted inside the mounting cavity. L-shaped guide rails are provided on both sides of the bottom of the mounting cavity. The device has a reasonable structure. This utility model mounts a movable seat B on a protective plate to the outer wall of a rotating shaft B on a motor B via a threaded connection. A high-transparency plate is slidably mounted in a mounting groove on the protective plate. Based on a retaining plate on the shaft, after the high-transparency plate is installed, the retaining plate is moved until it contacts the surface of the high-transparency plate, thus fixing the high-transparency plate. After installation, the lens is lifted into the mounting cavity by motor A, and the protective plate is sealed by motor B, thus achieving sealed protection for the lens.