Civil air defense project visual operation and maintenance patrol system and method based on digital twinborn technology

Abstract

The invention discloses a visual operation and maintenance patrol system and method for civil air defense engineering based on a digital twinning technology. The operation and maintenance system comprises an automatic task distribution unit, a positioning unit, a data acquisition unit, a twinning civil air defense unit, a centralized monitoring unit, a data early warning unit and a maintenance unit. The task automatic distribution unit comprises machine learning, intelligent distribution and the like; the positioning unit comprises position acquisition, operation and maintenance information presentation and the like; the data acquisition unit comprises equipment information acquisition, infrared image acquisition, environment acquisition and the like; the twin civil air defense unit comprises model construction, daily inspection, peacetime and wartime conversion and the like; the centralized monitoring unit comprises robot control, motion trail control, task management and scheduling and the like; the data early warning unit comprises an early warning report, an early warning setting and the like; the maintenance unit comprises a mobile terminal, an intelligent operation and maintenance robot and the like; the operation auxiliary unit comprises intelligent called, intelligent invoices, intelligent questions and answers and the like; the invention provides an intelligent and convenient solution for complex operation and maintenance of civil air defense engineering.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent operation and maintenance of civil air defense projects and the field of safety of civil air defense projects. More specifically, it relates to a visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology. Background Art

[0002] The safety of civil air defense projects has always been an important issue, both in wartime and in peacetime. The operation and maintenance of civil air defense projects mainly involves the maintenance and management of civil air defense project equipment and facilities to ensure the safe and efficient operation of civil air defense project equipment and facilities, including regular inspection, troubleshooting, repair and replacement of equipment and facilities. In traditional civil air defense project operation and maintenance, it mainly relies on manual inspection and maintenance. This method has problems such as large workload, slow information transmission, low efficiency, and high operation and maintenance costs. Once there are potential safety hazards of facilities and equipment, they cannot be discovered and responded to in time. Therefore, how to improve the efficiency and accuracy of civil air defense project operation and maintenance and reduce operation and maintenance costs has become an urgent problem to be solved.

[0003] In response to the above-mentioned problems, it has become an urgent issue that needs to be addressed at present to further strengthen the construction of the civil air defense project management system, solve the difficulties in the maintenance and management of civil air defense projects, empower the new operation and maintenance model of civil air defense projects with digital means, and build a strong and consolidated modern civil air defense system. Summary of the invention

[0004] (I) Purpose of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the present invention makes full use of the Internet of Things, the Internet, artificial intelligence, cloud computing, big data, and digital twin technologies to build a visual operation, maintenance, and inspection management platform for smart civil air defense projects.

[0006] (II) Technical solution

[0007] To solve the above problems, the first aspect of the present invention provides a visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology, which is composed of a system body, and is characterized in that the system body includes: an automatic task dispatching unit, a positioning unit, a data acquisition unit, a twin civil air defense unit, a centralized monitoring unit, a data early warning unit, a maintenance unit, and an operation assistance unit; the automatic task dispatching unit includes digitization of civil air defense operation and maintenance standards, operation and maintenance task ledger management, task cycle configuration, machine learning, natural language processing, and intelligent dispatching; the positioning unit includes location information acquisition, a communication module, and operation and maintenance information presentation; the data acquisition unit includes civil air defense equipment information acquisition, an infrared image acquisition unit, a visible light video acquisition unit, and an environmental sensor acquisition unit ; The twin civil air defense unit includes civil air defense project information input, civil air defense project model construction, civil air defense project equipment management, civil air defense parking spaces, daily inspections, and peacetime-wartime conversion; the centralized monitoring unit includes a patrol robot centralized control unit, a task management unit, a charging and discharging and energy management unit, an information collection design and motion trajectory control unit, and a task scheduling unit; the data early warning unit includes monitoring objects, data indicators, trigger conditions, early warning notification methods, early warning reports, and early warning settings; the maintenance unit includes an operation and maintenance personnel mobile terminal, a property personnel mobile terminal, a vehicle personnel mobile terminal, and an intelligent operation and maintenance robot; the operation auxiliary unit includes an intelligent sweeping module, an intelligent called module, an intelligent invoice module, an intelligent gate opening module, an intelligent charging module, and an intelligent question and answer module.

[0008] The automatic task dispatching unit includes digitization of civil air defense operation and maintenance standards, operation and maintenance task ledger management, task cycle configuration, machine learning, natural language processing, and intelligent dispatching; digitizing civil air defense operation and maintenance standards to obtain digitized text work orders; importing information into the system through the operation and maintenance task ledger management module; using natural language processing technology to parse and classify the text information in the work order, and match it with the existing knowledge base to determine the content of the work order; using a machine learning training model to predict the priority of the work order and the optimal processing personnel to achieve intelligent dispatching of work orders.

[0009] The positioning unit includes obtaining location information, a communication module, and operation and maintenance information presentation. The obtained location information includes but is not limited to precise location positioning information, reinforcement learning and intelligent optimization algorithms. The navigation and positioning of the intelligent operation and maintenance device are optimized and controlled by reinforcement learning and intelligent optimization algorithms, and path planning and decision-making are performed to improve the autonomous navigation capability of the intelligent operation and maintenance device; the communication module includes real-time data information interaction and processing between the positioning unit and the operation and maintenance system. The intelligent operation and maintenance device transmits various types of information including the geographical location of the civil air defense project, parameter setting information, and data interaction requirements to the back-end server. The back-end server comprehensively considers the geographical location information, parameter setting information, and data interaction requirements of the intelligent operation and maintenance device and transmits the required data to the intelligent operation and maintenance device in real time; the operation and maintenance information presentation includes three-dimensional digital real-time dynamic display of the operation and maintenance of the civil air defense project. The intelligent operation and maintenance device matches the spatial position of the intelligent operation and maintenance device according to the data transmitted by the back-end server, and then the intelligent operation and maintenance device uses a geometric algorithm to render and display the dynamic model of the operation and maintenance of the civil air defense equipment based on the relevant attribute data of the civil air defense equipment contained in the RFID electronic tag fixed to the civil air defense equipment and its coordinate information relative to the RFID, and displays it on the display screen of the intelligent operation and maintenance device or in the three-dimensional model of the civil air defense project to form an accurate operation and maintenance display effect.

[0010] The data acquisition unit includes infrared image acquisition, visible light video acquisition and environmental sensor acquisition. The environmental sensor acquisition can collect indoor environmental temperature and humidity, harmful gas concentration, oxygen content, smoke concentration, the presence or absence of obstacles and the distance of obstacles. Through the close cooperation of various functional sub-modules, the business logic contained in the system body is completed, and the business data is presented to the centralized monitoring unit.

[0011] The twin civil air defense unit includes obtaining the routine operation data of the civil air defense project, and the routine operation data of the civil air defense project includes the location of the civil air defense project building and the quality information of the building operation status, the assets and equipment and the asset equipment operation data, and the dependencies between the various elements in the routine operation of the civil air defense project. According to the dependencies and attribute information, the routine operation data of the civil air defense project is generated. According to the routine operation data of the civil air defense project, a digital twin model of the civil air defense project is established, the established model is verified and optimized, and the established digital twin model is applied to the civil air defense project in the routine state to realize real-time monitoring, prediction and optimization.

[0012] The centralized monitoring unit includes civil air defense project asset management, trajectory generation algorithm, operation and maintenance monitoring and management, operational monitoring and management, early warning monitoring and management, work order flow and management, and docking with other business departments; the trajectory generation algorithm includes a probability space deep learning algorithm. The path finding method based on probability space deep learning is a search algorithm based on variational autoencoder, which is applied to scenarios such as path planning and travel strategies. It considers the probability space and proposes statistics suitable for probability space detection. It uses recurrent neural networks to construct an autoencoder to ensure that the method can effectively handle the dynamic problems of path planning. The path planning algorithm based on the probability space of the variational autoencoder simulates the natural evolution process of the equipment, conducts deep learning on the equipment failure training samples in the civil air defense project, and continuously optimizes the operation and maintenance path planning plan of the road civil air defense project equipment, and finally obtains an optimal path plan.

[0013] The data warning unit includes monitoring objects, data indicators, trigger conditions, warning notification methods, warning reports, and warning settings; the monitoring objects include the operation and maintenance data of the set civil air defense equipment and facilities in the most recent quarter; the data indicators include the normal operation status of key equipment and facilities of civil air defense projects, the environmental status of civil air defense projects, etc.; the trigger conditions include settings through year-on-year, month-on-month, and specific value data comparisons, etc.; the warning notification methods include SMS notifications, WeChat applets, in-site letters / emails, and other methods; the warning report displays specific warning trigger results, and users can view warning trigger details and corresponding data reports; the warning settings support users to create new warnings, support conditional filtering to view created warning information, edit / open / close / delete data warnings, etc.; by monitoring the core indicators, timely understand the safety situation of civil air defense projects, respond quickly, and improve work efficiency, while realizing real-time monitoring of key business indicators, timely discovering problems and taking corresponding measures, thereby improving the risk monitoring capabilities and business operation efficiency of civil air defense projects.

[0014] The maintenance unit includes a mobile terminal for operation and maintenance personnel, a mobile terminal for property personnel, a mobile terminal for vehicle personnel, and an intelligent operation and maintenance robot; the mobile terminal for operation and maintenance personnel performs daily maintenance of civil air defense equipment and facilities based on standardized maintenance management task work orders; the intelligent operation and maintenance robot automatically issues operation and maintenance tasks for civil air defense projects, automatically performs daily maintenance according to the optimal route, and automatically reports operation and maintenance results; the equipment and facilities for civil air defense projects include but are not limited to openings, opening structures, main structures, protective doors, explosion-proof valves, ventilation facilities, gas filtration equipment, water supply and drainage equipment, fire-fighting equipment, generator sets, water tanks, peacetime-wartime conversion components, and other equipment.

[0015] The operation auxiliary unit includes an intelligent sweeping module, an intelligent called module, an intelligent invoice module, an intelligent gate opening module, an intelligent charging module, and an intelligent question and answer module; the intelligent sweeping module includes completing the cleaning work in the civil air defense project site, absorbing the debris on the ground into its own garbage storage box, thereby completing the function of ground cleaning; the intelligent called module includes receiving the user's WeChat voice call in the civil air defense project site, performing voice recognition, problem analysis, and providing solutions; the intelligent invoice module includes receiving the user's invoicing information in the civil air defense project site, and pushing electronic invoices to the user; the intelligent gate opening module includes encountering an abnormal gate in the civil air defense project site and being unable to open, and the operation auxiliary unit directly controls the opening of the gate; the intelligent charging module includes presenting a charging QR code in the civil air defense project site to assist in charging; the intelligent question and answer module includes answering users' questions in the civil air defense project site, completing parking guidance and reverse car search functions.

[0016] According to another aspect of the present invention, the aforementioned civil air defense project visual operation and maintenance inspection system and method based on digital twin technology is characterized by comprising the following steps:

[0017] (1) Build a network system, deploy artificial intelligence IoT devices, construct a basic framework for system operation, and create a twin civil air defense model;

[0018] (2) Civil air defense project management personnel input the civil air defense project asset information and the regional manager information under the jurisdiction of the civil air defense project to create a twin civil air defense model. The twin civil air defense model presents the operating status of the civil air defense equipment in real time;

[0019] (3) The automatic task dispatching unit automatically dispatches operation and maintenance inspection tasks to the maintenance unit, and the centralized monitoring unit automatically plans the inspection path and travel strategy for the positioning unit and maintenance unit;

[0020] (4) The data collection unit collects real-time monitoring data, reports various information about the civil air defense project, including operation and maintenance behavior and status data, through the positioning unit, and uploads it to the centralized monitoring unit;

[0021] (5) Centralized monitoring unit, which performs data analysis, data fusion, data integration, data labeling, and data cleaning on the collected data, formulates more reasonable operation and maintenance inspection plans, and plans more reasonable inspection routes;

[0022] (6) The centralized monitoring unit completes the business logic contained in the system through close cooperation of various functional sub-modules, presents the operation and maintenance data in real time on the twin civil air defense three-dimensional model, and presents the business data to the final terminal, which includes a large screen, PC, and civil air defense mobile terminal.

[0023] (7) Vehicle personnel can use the operation and maintenance auxiliary unit to issue electronic invoices, open the civil air defense parking lot gate, perform intelligent question and answer, and search for the vehicle in reverse. The operation and maintenance auxiliary unit can be an intelligent robot or an auxiliary device carried by the operation and maintenance personnel.

[0024] (8) Operation and maintenance personnel perform routine maintenance of civil air defense project equipment and facilities through mobile terminals based on standardized maintenance management task work orders;

[0025] (9) Intelligent operation and maintenance machines automatically issue standardized maintenance management task work orders, automatically perform daily maintenance along the optimal route, and automatically report operation and maintenance results.

[0026] Summary of the technical solution: The principle of the present invention is a visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology. The operation and maintenance inspection system includes an automatic task dispatching unit, a positioning unit, a data acquisition unit, a twin civil air defense unit, a centralized monitoring unit, a data early warning unit, and a maintenance unit; the automatic task dispatching unit includes digitization of civil air defense operation and maintenance standards, operation and maintenance task ledger management, task cycle configuration, machine learning, natural language processing, and intelligent dispatching; the positioning unit includes location information acquisition, communication module, and operation and maintenance information presentation; the data acquisition unit includes civil air defense equipment information acquisition, infrared image acquisition unit, visible light video acquisition unit, and environmental sensor acquisition unit; the twin civil air defense unit includes civil air defense project information entry and civil air defense project model construction. , civil air defense equipment management, civil air defense parking spaces, daily inspections, and peacetime-wartime conversion; the centralized monitoring unit includes a centralized control unit for the inspection robot, a task management unit, a charging and discharging and energy management unit, an information collection design and motion trajectory control unit, and a task scheduling unit; the data early warning unit includes a monitoring object, data indicators, trigger conditions, early warning notification methods, early warning reports, and early warning settings; the maintenance unit includes a mobile terminal for operation and maintenance personnel, a mobile terminal for property personnel, a mobile terminal for vehicle personnel, and an intelligent operation and maintenance robot; the operation auxiliary unit includes an intelligent sweeping module, an intelligent called module, an intelligent invoice module, an intelligent gate opening module, an intelligent charging module, and an intelligent question and answer module; the present invention provides an intelligent and convenient solution to the complex operation and maintenance of multi-tasks in civil air defense projects.

[0027] (III) Beneficial effects

[0028] The above technical solution of the present invention has the following beneficial technical effects:

[0029] (1) Intelligent operation and maintenance / safety operation, combining industry experience with data analysis, makes the operation of civil air defense systems safer, smarter, and more efficient. Data collection and analysis, intuitive display, early warning notification push, automatic delivery of work orders, automatic inspection of intelligent operation and maintenance equipment, and monitoring of various scenario modes provide strong support for the efficient operation of civil air defense projects.

[0030] (2) Visualization / easy management. The transformation from information digitization to three-dimensional information brings more intuitive management effects, enables visual management and remote control of the real-time operation status of civil air defense projects, precise positioning and fine monitoring, reduces blind spots in operation and maintenance, and clearly displays various functions such as data and information prompts, thereby improving production efficiency.

[0031] (3) Platform compatibility / high integration. The platform has strong compatibility, and each system can be easily connected. The platform has high integration. The civil air defense runtime data and operation and maintenance data are concentrated on a platform system. The system can be updated and iterated at any time according to the actual user usage and new needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a framework diagram of the visual operation and maintenance inspection system and method of civil air defense projects based on digital twin technology;

[0033] Reference numerals:

[0034] 1: Visualized operation and maintenance inspection system; 2: Automatic task dispatching unit; 3: Positioning unit; 4: Data collection unit; 5: Twin civil air defense unit; 6: Centralized monitoring unit; 7: Data early warning unit; 8: Maintenance unit; 9: Operation auxiliary unit; DETAILED DESCRIPTION

[0035] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0036] A flowchart of a visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology is provided for one embodiment of the present application, and includes the following steps:

[0037] 001, civil air defense project management personnel, input civil air defense project asset information, regional manager information under the jurisdiction of the civil air defense project, and civil air defense project normal operation data, and create a twin civil air defense model. The twin civil air defense model presents the operation status of civil air defense equipment in real time;

[0038] In the embodiment of the present application, the normal operation data of the civil air defense project includes the location of the civil air defense project building and the quality information of the building operation status, the asset equipment and the asset equipment operation data, and the dependency relationship between the various elements in the normal operation of the civil air defense project. According to the dependency relationship and attribute information, the normal operation data of the civil air defense project is generated, and according to the normal operation data of the civil air defense project, a twin civil air defense model of the civil air defense project is established;

[0039] 002, the automatic task dispatching unit automatically dispatches operation and maintenance inspection tasks to the maintenance unit, and the centralized monitoring unit automatically plans the inspection path and travel strategy for the positioning unit and maintenance unit;

[0040] In the embodiment of the present application, the operation and maintenance inspection task is automatically generated according to the digital civil air defense operation and maintenance standards, operation and maintenance task ledger, and task cycle; the civil air defense operation and maintenance standards are digitized to obtain digital civil air defense operation and maintenance standards; the information is imported into the system through the operation and maintenance task ledger management module; the text information in the work order is parsed and classified by natural language processing technology, and matched with the existing knowledge base to determine the content of the work order; the priority of the work order and the optimal processing personnel are predicted through the machine learning training model, so as to realize the intelligent dispatch of the operation and maintenance inspection task work order;

[0041] 003, the data collection unit collects real-time monitoring data, reports various information of the civil air defense project through the positioning unit, including operation and maintenance behavior and status data, and uploads it to the centralized monitoring unit;

[0042] In the embodiment of the present application, data acquisition includes infrared image acquisition, visible light video acquisition and environmental sensor acquisition. Environmental sensor acquisition, data acquisition can collect indoor environmental temperature and humidity, harmful gas concentration, oxygen content, smoke concentration, the presence or absence of obstacles and the distance of obstacles. Through the close cooperation of various functional submodules of the system, the business logic contained in the system body is completed, and the business data is presented to the centralized monitoring unit;

[0043] 004. The centralized monitoring unit performs data analysis, data fusion, data integration, data labeling, and data cleaning on the collected data to formulate a more reasonable operation and maintenance inspection plan and plan a more reasonable inspection route;

[0044] In the embodiment of the present application, a more reasonable inspection route is automatically planned according to the trajectory generation algorithm. The trajectory generation algorithm is based on the path finding method of deep learning in probability space, and the equipment failure training samples in the civil air defense project are deeply learned, and the operation and maintenance path planning scheme of the road civil air defense project equipment is continuously optimized, and finally an optimal path plan is obtained;

[0045] 005. At the same time, the centralized monitoring unit completes the business logic contained in the system through the close cooperation of various functional sub-modules, presents the operation and maintenance data in real time on the twin civil air defense three-dimensional model, and presents the business data to the final terminal, which includes a large screen, PC, and civil air defense mobile terminal;

[0046] 006. Vehicle personnel can use the operation and maintenance auxiliary unit to issue electronic invoices, open the gate of the civil air defense parking lot, perform intelligent question and answer, and search for vehicles in reverse;

[0047] In the embodiment of the present application, the operation and maintenance auxiliary unit may be an intelligent robot or an auxiliary device carried by an operation and maintenance personnel;

[0048] 007. Operation and maintenance personnel conduct daily maintenance of civil air defense project equipment and facilities through mobile terminals based on standardized maintenance management task work orders;

[0049] In the embodiment of the present application, the maintenance management task work order is dispatched by the task automatic dispatching unit to the operation and maintenance personnel; the civil air defense engineering equipment and facilities include but are not limited to the mouth, mouth structure, main structure, protective door, explosion-proof valve, ventilation facilities, gas filtering equipment, water supply and drainage equipment, fire fighting equipment, generator set, water tank, peace-war conversion components, etc.;

[0050] 008, intelligent operation and maintenance machines automatically issue standardized maintenance management task orders, automatically perform daily maintenance according to the optimal route, and automatically report operation and maintenance results;

[0051] It should be understood that the above specific embodiments of the present invention are only used to illustrate or explain the principles of the present invention, and do not constitute a limitation of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. In addition, the appended claims of the present invention are intended to cover all changes and modifications that fall within the scope and boundaries of the appended claims, or the equivalent forms of such scope and boundaries.

Claims

1. A visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology, consisting of a system body, characterized in that: The system body includes: automatic task dispatching unit, positioning unit, data acquisition unit, twin civil air defense unit, centralized monitoring unit, data early warning unit, maintenance unit, and operation auxiliary unit; The automatic task dispatching unit includes digitization of civil air defense operation and maintenance standards, operation and maintenance task ledger management, task cycle configuration, machine learning, natural language processing, and intelligent dispatching; The positioning unit includes location information acquisition, communication module, and operation and maintenance information presentation. The data acquisition unit includes a civil air defense equipment information acquisition unit, an infrared image acquisition unit, a visible light video acquisition unit and an environmental sensor acquisition unit; The twin civil air defense unit includes civil air defense project information entry, civil air defense project model construction, civil air defense project equipment management, civil air defense parking spaces, daily inspections, and peacetime-wartime conversion; The centralized monitoring unit includes a patrol robot centralized control unit, a task management unit, a charging and discharging and energy management unit, an information collection design and motion trajectory control unit, and a task scheduling unit; The data warning unit includes monitoring objects, data indicators, trigger conditions, warning notification methods, warning reports, and warning settings; The maintenance unit includes a mobile terminal for operation and maintenance personnel, a mobile terminal for property personnel, a mobile terminal for vehicle personnel, and an intelligent operation and maintenance robot; The operation auxiliary unit includes an intelligent sweeping module, an intelligent called module, an intelligent invoice module, an intelligent gate opening module, an intelligent charging module, and an intelligent question and answer module.

2. According to claim 1, a visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology is characterized in that: The automatic task dispatching unit includes digitization of civil air defense operation and maintenance standards, operation and maintenance task ledger management, task cycle configuration, machine learning, natural language processing, and intelligent dispatching; digitizing civil air defense operation and maintenance standards to obtain digitized text work orders; importing information into the system through the operation and maintenance task ledger management module; using natural language processing technology to parse and classify the text information in the work order, and match it with the existing knowledge base to determine the content of the work order; using a machine learning training model to predict the priority of the work order and the optimal processing personnel to achieve intelligent dispatching of work orders.

3. According to claim 1, a visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology is characterized in that: The positioning unit includes obtaining location information, a communication module, and operation and maintenance information presentation. The obtained location information includes but is not limited to precise location positioning information, reinforcement learning and intelligent optimization algorithms. The navigation and positioning of the intelligent operation and maintenance device are optimized and controlled by reinforcement learning and intelligent optimization algorithms, and path planning and decision-making are performed to improve the autonomous navigation capability of the intelligent operation and maintenance device; the communication module includes real-time data information interaction and processing between the positioning unit and the operation and maintenance system. The intelligent operation and maintenance device transmits various types of information including the geographical location of the civil air defense project, parameter setting information, and data interaction requirements to the back-end server. The back-end server comprehensively considers the geographical location information, parameter setting information, and data interaction requirements of the intelligent operation and maintenance device and transmits the required data to the intelligent operation and maintenance device in real time; the operation and maintenance information presentation includes three-dimensional digital real-time dynamic display of the operation and maintenance of the civil air defense project. The intelligent operation and maintenance device matches the spatial position of the intelligent operation and maintenance device according to the data transmitted by the back-end server, and then the intelligent operation and maintenance device uses a geometric algorithm to render and display the dynamic model of the operation and maintenance of the civil air defense equipment based on the relevant attribute data of the civil air defense equipment contained in the RFID electronic tag fixed to the civil air defense equipment and its coordinate information relative to the RFID, and displays it on the display screen of the intelligent operation and maintenance device or in the three-dimensional model of the civil air defense project to form an accurate operation and maintenance display effect.

4. According to the digital twin technology-based visualized operation and maintenance inspection system and method for civil air defense projects according to claim 1, it is characterized in that: The data acquisition unit includes infrared image acquisition, visible light video acquisition and environmental sensor acquisition. The environmental sensor acquisition can collect indoor environmental temperature and humidity, harmful gas concentration, oxygen content, smoke concentration, the presence or absence of obstacles and the distance of obstacles. Through the close cooperation of various functional sub-modules, the business logic contained in the system body is completed, and the business data is presented to the centralized monitoring unit.

5. According to claim 1, a visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology is characterized in that: The twin civil air defense unit includes obtaining the routine operation data of the civil air defense project, and the routine operation data of the civil air defense project includes the location of the civil air defense project building and the quality information of the building operation status, the assets and equipment and the asset equipment operation data, and the dependencies between the various elements in the routine operation of the civil air defense project. According to the dependencies and attribute information, the routine operation data of the civil air defense project is generated. According to the routine operation data of the civil air defense project, a digital twin model of the civil air defense project is established, the established model is verified and optimized, and the established digital twin model is applied to the civil air defense project in the routine state to realize real-time monitoring, prediction and optimization.

6. According to claim 1, a visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology is characterized in that: The centralized monitoring unit includes civil air defense project asset management, trajectory generation algorithm, operation and maintenance monitoring and management, operational monitoring and management, early warning monitoring and management, work order flow and management, and docking with other business departments; the trajectory generation algorithm includes a probability space deep learning algorithm, and the path finding method based on probability space deep learning is a search algorithm based on variational autoencoders, which is applied to scenarios such as path planning and travel strategies. It considers the probability space and proposes statistics suitable for probability space detection. It uses recurrent neural networks to construct autoencoders to ensure that the method can effectively handle the dynamic problems of path planning. The path planning algorithm based on the probability space of the variational autoencoder simulates the natural evolution process of the equipment, conducts deep learning on the equipment failure training samples in the civil air defense project, and continuously optimizes the operation and maintenance path planning scheme of the road civil air defense project equipment, and finally obtains an optimal path scheme; Variational autoencoders use unobservable latent variables to estimate the original data distribution. Assume that the dataset The variable x in is generated by the unobservable latent variable z through the probability model. This process includes two steps: (1) variable z (i) From the prior distribution Generate; (2) variable x (i) From the conditional probability distribution However, the latent variable z and distribution parameter θ are unknown, so we use q φ (z|x) to approximate the unknown prior probability distribution Prior probability distribution and conditional probability distribution Assume that it comes from the distribution group P θ (z) and P θ (x|z); from the perspective of coding theory, the conditional probability q Φ (z|x) can be regarded as a probability encoder. Given the distribution of the original data x, the distribution of the latent variable z can be estimated. θ (x|z) can be regarded as a probability decoder. Given the distribution of the latent variable z, the distribution of the original data x can be obtained. The goal of the variational autoencoder is to maximize the probability of the current data distribution, denoted by P θ (X). The logarithm of the objective function is the probability distribution P of each data point θ (x (i) ); According to variational inference, the probability distribution of each data point is equal to the sum of variational free energy and KL divergence, as shown in the formula: logp θ (x (i) )=D KL (q φ (z|x (i) )||P θ (z|x (i) ))+L(θ,Φ;x (i) )c Since the KL divergence is non-negative, the formula can be written as: So maximizing logP θ (x (i) ) can be equivalent to maximizing logP θ (x (i) ), and the variational free energy L(θ, Φ; x (i) ) is also equal to: The variational autoencoder inputs the encoder network, outputs the mean and standard deviation, extracts the latent variables and the decoder network, and finally obtains the output. For each real sample X (i) , there exists a corresponding posterior distribution P θ (z|x (i) ), here we assume that P θ (z|x (i) ) is an independent multivariate normal distribution. The encoder estimates the mean and variance of the latent variable z through a neural network, and then estimates the distribution of z, while the decoder estimates the variable x by sampling z; the variational free energy L(θ, Φ; x (i) ) is optimized through the parameter set θ and Φ. The optimization process needs to calculate the gradient, but the sampling process cannot calculate the gradient, while the sampling result can calculate the gradient, so it is achieved through the re-parameterization technique. 2 ), which is equivalent to sampling an ε from N(0,I), and then letting z=u+σε, extracting L {z (i) } value, using Monte Carlo simulation to estimate P θ (z|x (i) ). Therefore, the variational free energy is: The optimal path planning method based on variational autoencoder can better handle nonlinear and dynamic problems compared with other traditional methods. Using recurrent neural networks to construct variational autoencoders, a new monitoring variable method is proposed. This method monitors in probability space, can handle nonlinear problems well, and provides better path planning.

7. According to claim 1, a visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology is characterized in that: The data warning unit includes monitoring objects, data indicators, trigger conditions, warning notification methods, warning reports, and warning settings; the monitoring objects include the operation and maintenance data of the set civil air defense equipment and facilities in the most recent quarter; the data indicators include the normal operation status of key equipment and facilities of civil air defense projects, the environmental status of civil air defense projects, etc.; the trigger conditions include settings through year-on-year, month-on-month, and specific value data comparisons, etc.; the warning notification methods include SMS notifications, WeChat applets, in-site letters / emails, and other methods; the warning report displays specific warning trigger results, and users can view warning trigger details and corresponding data reports; the warning settings support users to create new warnings, support conditional filtering to view created warning information, edit / open / close / delete data warnings, etc.; By monitoring the data of core indicators, we can timely understand the safety status of civil air defense projects, respond quickly, and improve work efficiency. At the same time, we can realize real-time monitoring of key business indicators, discover problems in time and take corresponding measures, thereby improving the risk monitoring capabilities and business operation efficiency of civil air defense projects.

8. According to claim 1, a visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology is characterized in that: The maintenance unit includes a mobile terminal for operation and maintenance personnel, a mobile terminal for property personnel, a mobile terminal for vehicle personnel, and an intelligent operation and maintenance robot; the mobile terminal for operation and maintenance personnel performs daily maintenance on civil air defense equipment and facilities based on standardized maintenance management task work orders; the intelligent operation and maintenance robot includes automatic issuance of civil air defense operation and maintenance tasks, automatic daily maintenance according to the optimal route, and automatic reporting of operation and maintenance results; the civil air defense equipment and facilities include but are not limited to the opening, opening structure, main structure, protective door, explosion-proof valve, ventilation facilities, gas filtering equipment, water supply and drainage equipment, fire-fighting equipment, generator set, water tank, peace-war conversion components, and other equipment; The entrance structure shown includes that it is strictly forbidden to pile up debris at the entrance of the civil air defense project to cause the entrance to be blocked, so as to ensure that the passage is unobstructed; The main structure maintenance shown includes the main structure of the civil air defense project, including the top plate, bottom plate and air-facing wall. It is strictly prohibited to carry out structural transformation construction work inside the civil air defense project, and it is prohibited to drill holes in the air-facing wall and top plate and bottom plate; The protective door maintenance requirements include: The protective door is an important equipment for wartime protection, which consists of doors, sealing tapes, door shafts, locking devices and other components. Rust removal, painting and oiling should be carried out regularly, and damaged sealing strips should be replaced in time; no unit can dismantle them without authorization, and protective doors that are not used for a long time should be supported by triangular wooden pads to prevent deformation of the door shaft due to gravity; The explosion-proof valve maintenance includes: The explosion-proof valve is a valve that can be quickly closed under the action of shock wave overpressure. It is divided into two types: hanging plate type and hose type. During use, it is necessary to ensure that the spare parts are complete, and perform daily maintenance, rust removal, and painting to ensure that the protective function is not damaged. It is not allowed to be disassembled without authorization; The ventilation facility maintenance includes ventilation facilities including fans, air ducts, etc., which, in addition to being opened regularly, must also be rust-free and painted. For equipment equipped with manual and electric dual-purpose foot-operated fans, in addition to regular operation, it is also necessary to strengthen maintenance to ensure the integrity of the parts and that the performance of the facilities is in good condition; The maintenance of the gas filter equipment includes the gas filter absorber, gas filter and dust filter. The equipment should be regularly inspected and rust-free. The parts with switches should be regularly oiled and maintained, and the filter should be replaced regularly. The water supply and drainage equipment maintenance includes opening the water supply and drainage equipment regularly, keeping the water pool clean, strengthening maintenance, and ensuring that the equipment functions well; The fire-fighting equipment maintenance includes ensuring that fire-fighting equipment such as fire hydrants and fire extinguishers are complete and in good condition, and that the powder in the fire extinguisher is replaced regularly; The generator set maintenance includes regular start-up and operation, with a designated person responsible to ensure the performance of the power generation equipment is intact; The water tank maintenance mentioned above includes regular inspection and maintenance of the water tank and its ancillary facilities, rust removal and painting, and no unauthorized disassembly is allowed; The maintenance of the peacetime-wartime conversion components includes that the blocking components of different blocking parts should be classified and stored in different places, and should not be moved at will, and should be inspected and maintained regularly, especially the steel components should be prevented from rusting and painted when necessary; The other equipment maintenance mentioned above includes explosion-proof buttons, pressure measuring tubes, explosion-proof floor drains, power control boxes, signal display boxes and other equipment. They must be inspected and maintained regularly, opened regularly, and must not be disassembled without permission.

9. According to claim 1, a visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology is characterized in that: The operation auxiliary unit includes an intelligent sweeping module, an intelligent called module, an intelligent invoice module, an intelligent gate opening module, an intelligent charging module, and an intelligent question and answer module; the intelligent sweeping module includes completing the cleaning work in the civil air defense project site, absorbing the debris on the ground into its own garbage storage box, thereby completing the function of ground cleaning; the intelligent called module includes receiving the user's WeChat voice call in the civil air defense project site, performing voice recognition, problem analysis, and providing solutions; the intelligent invoice module includes receiving the user's invoicing information in the civil air defense project site, and pushing electronic invoices to the user; the intelligent gate opening module includes encountering an abnormal gate in the civil air defense project site and being unable to open, and the operation auxiliary unit directly controls the opening of the gate; the intelligent charging module includes presenting a charging QR code in the civil air defense project site to assist in charging; the intelligent question and answer module includes answering users' questions in the civil air defense project site, completing parking guidance and reverse car search functions.

10. A visualized operation and maintenance inspection system and method for civil air defense projects based on digital twin technology according to any one of claims 1 to 9, characterized in that: The following steps are involved: (1) Build a network system, deploy artificial intelligence IoT devices, construct a basic framework for system operation, and create a twin civil air defense model; (2) Civil air defense project management personnel input the civil air defense project asset information and the regional manager information under the jurisdiction of the civil air defense project. The twin civil air defense model presents the operating status of the civil air defense equipment in real time; (3) The automatic task dispatching unit automatically dispatches operation and maintenance inspection tasks to the maintenance unit, and the centralized monitoring unit automatically plans the inspection path and travel strategy for the positioning unit and maintenance unit; (4) The data collection unit collects real-time monitoring data, reports various information of the civil air defense project, including operation and maintenance behavior and status data, through the positioning unit, and uploads it to the centralized monitoring unit; (5) Centralized monitoring unit, which performs data analysis, data fusion, data integration, data labeling, and data cleaning on the collected data, formulates more reasonable operation and maintenance inspection plans, and plans more reasonable inspection routes; (6) The centralized monitoring unit completes the business logic contained in the system through close cooperation of various functional sub-modules, presents the operation and maintenance data in real time on the twin civil air defense three-dimensional model, and presents the business data to the final terminal, which includes a large screen, PC, and civil air defense mobile terminal. (7) Vehicle personnel can use the operation and maintenance auxiliary unit to issue electronic invoices, open the civil air defense parking lot gate, perform intelligent question and answer, and search for the vehicle in reverse. The operation and maintenance auxiliary unit can be an intelligent robot or an auxiliary device carried by the operation and maintenance personnel. (8) Operation and maintenance personnel perform routine maintenance of civil air defense project equipment and facilities through mobile terminals based on standardized maintenance management task work orders; (9) Intelligent operation and maintenance machines automatically issue standardized maintenance management task work orders, automatically perform daily maintenance along the optimal route, and automatically report operation and maintenance results.

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