Navigation risk hidden danger dual prevention system and method based on intelligent supervision

Abstract

The invention discloses a navigation risk hidden danger dual-prevention system and method based on intelligent supervision, and the system obtains aviation data, flight parameters and environment information in real time, combines data analysis and model calculation, recognizes and predicts potential hidden dangers, carries out the intelligent management of the navigation risk hidden dangers through employing a dual-prevention mechanism, and achieves the intelligent management of the navigation risk hidden dangers. And displaying the risk hidden danger distribution electronic map on the three-dimensional model of the navigation airport template, and taking corresponding prevention measures to ensure the safety and high efficiency of navigation operation and effectively reduce the occurrence probability of flight accidents. Meanwhile, an airport supervisor can help formulate scientific and reasonable policies and measures, improve the management level and decision-making effect, practically implement the responsibility of a safety production subject and comprehensively improve the flight training safety management level by analyzing the navigation risk trend, optimizing the safety training plan, evaluating the training result and the like. Potential risks can be scientifically coped with by means of early warning information and flight guidance provided by the system, and the flight safety level of the system is improved.

Description

Technical Field

[0001] The present invention relates to the field of aviation risk early warning technology, and in particular to a dual prevention system and method for aviation risk hazards based on intelligent supervision. Background Art

[0002] The development of civil aviation general aviation business has brought more challenges and risks to aviation operations. The management and prevention of general aviation risk hazards have become an urgent problem for civil aviation management departments to solve. Traditional manual monitoring methods have problems such as large human resource consumption, slow response speed, and inconsistent subjective judgment, and cannot meet the needs of real-time monitoring and prevention.

[0003] At present, different aviation administrations are using advanced technologies to improve aviation operation safety and efficiency. The plan includes the use of intelligent regulatory systems based on data analysis and artificial intelligence to achieve real-time monitoring and prevention of general aviation risks, or general aviation risk management. Through automated data analysis and flight parameter monitoring, real-time monitoring and early warning of general aviation risks can be achieved.

[0004] In the construction of the dual prevention mechanism, practice and theory are often separated or even contradictory. The reason for this is that, first of all, managers’ training and dissemination of risk hazards are inadequate, resulting in a deviation in the front-line’s understanding of risk hazards, confusion between risk hazards, inaccurate identification and investigation, and non-standard filling out of forms. Secondly, the front-line staff have not correctly understood the significance of dual prevention work, which makes them think that this is unnecessary work. Summary of the invention

[0005] In view of this, the purpose of the present invention is to provide a dual prevention system and method for general aviation risks based on intelligent supervision. The method uses digital twin technology to display general aviation risks on a panoramic airport map, thereby improving the safety and efficiency of general aviation operations and reducing the probability of flight accidents.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] The dual prevention system for navigation risks and hidden dangers based on intelligent supervision provided by the present invention includes a dual prevention mechanism intelligent management system and a risk hidden danger digital twin center;

[0008] The dual prevention mechanism intelligent management system is used to extract hidden danger list data and hazard source list data, and analyze and process them;

[0009] The risk and hidden danger digital twin center is used to generate a general aviation airport template map and generate a digital twin model in combination with a digital map, and to display the hidden danger list data and hazard source list data output by the dual prevention mechanism intelligent management system on the digital twin model.

[0010] Furthermore, the dual prevention mechanism intelligent management system includes a hazard source classification standard function module, a system guarantee function module, an intelligent association function module, and a video monitoring function module;

[0011] The hazard source classification standard function module is used to set the hazard source classification standard;

[0012] The system guarantee function module is used to set up and publish rules and regulations documents that specify hidden dangers and sources of danger;

[0013] The intelligent association function module is used to compare and analyze the keywords of the identified hazard source and hidden danger information with the existing hazard source and hidden danger information in the database according to the received newly added hazard source and hidden danger information; and to associate the hidden danger information with the hazard source;

[0014] Video surveillance function module, used to obtain real-time monitoring images of the airport area.

[0015] Furthermore, the video surveillance function module provides real-time monitoring and recording of the airport area through video surveillance technology, and stores the video in a local server.

[0016] Furthermore, it also includes a dual prevention mechanism database, which is used to store hidden danger list data, hazard source list data, hazard source classification standards, and rules and regulations documents.

[0017] Furthermore, it also includes a flight training safety management system, which stores various hazard sources, hazard source events, safety hazard information, and safety hazard events through a set hazard source database and a safety hazard database;

[0018] The hazard source database is used to store hazard source information;

[0019] The hazardous source event is provided with the name, number and level classification of the event;

[0020] The potential safety hazard database is used to store potential safety hazard information;

[0021] The potential safety hazard event is provided with an event name, number, and level classification.

[0022] Furthermore, the risk hazard digital twin center is used to generate a general aviation airport template map and generate a digital twin model in combination with a digital map, and visualize the output information of the dual prevention mechanism intelligent management system on the digital twin model.

[0023] Furthermore, the risk hazard digital twin center is provided with a digital twin interaction module, and the digital twin interaction module includes an internal operation module of the cockpit, an internal operation module of the hangar and aircraft fuel truck shed, and an internal operation module of the control tower.

[0024] Furthermore, it also includes a mobile terminal, which is used to upload risk hidden danger data and query risk hidden danger data.

[0025] The prevention method provided by the present invention using the above-mentioned dual prevention system for navigation risks and hidden dangers based on intelligent supervision comprises the following steps:

[0026] S1: Use digital twin technology and UE5 to build a panoramic airport map;

[0027] S2: Obtain navigation data, supervision data, hidden danger list data, and hazard source list data;

[0028] S3: constructing a dual prevention mechanism database, which includes a hazard source database and a safety hazard database;

[0029] S4: storing the acquired data in a corresponding database, and processing and analyzing the acquired data to obtain geographic location data;

[0030] S5: Obtaining a template map of an airport corresponding to a digital map according to the geographic location data;

[0031] S6: The general aviation airport template map corresponding to the digital map adopts a visual display method to display the hidden danger and hazard source information according to the location, type and classification level of the hidden danger and hazard source information.

[0032] Furthermore, the hidden danger sources are graded and calculated in the following manner:

[0033] The acquired hidden danger source information is set as a risk matrix diagram, and the danger sources are divided into different levels according to the possibility and severity of the accident to obtain the risk matrix and risk level evaluation standard:

[0034] The risk matrix includes risk possibility values ​​and risk severity values. The risk possibility values ​​are set to five levels, namely frequent, occasional, rare, impossible, and extremely unlikely; their quantitative values ​​decrease in sequence; the risk severity values ​​are set to five levels, namely catastrophic, dangerous, major, minor, and negligible; their quantitative values ​​decrease in sequence.

[0035] The beneficial effects of the present invention are:

[0036] The present invention provides a dual prevention system and method for general aviation risk hazards based on intelligent supervision. The system obtains aviation data, flight parameters and environmental information in real time, and combines data analysis and model calculation to identify and predict potential risks and hidden dangers. It adopts a dual prevention mechanism to intelligently manage general aviation risk hazards, displays an electronic map of risk hazard distribution on a three-dimensional model of a general aviation airport template, and takes corresponding preventive measures to ensure the safety and efficiency of general aviation operations and effectively reduce the probability of flight accidents.

[0037] At the same time, airport regulators can help formulate scientific and reasonable policies and measures, improve management level and decision-making effect, effectively implement the main responsibility of production safety, and comprehensively improve the level of flight training safety management by analyzing the risk trend of general aviation, optimizing safety training plans, and evaluating training results. With the early warning information and flight guidance provided by the system, they can scientifically respond to potential risks and improve their own flight safety level.

[0038] The dual prevention system for general aviation risks and hidden dangers can realize theoretical knowledge training, specific location indication and visual display of risks and hidden dangers, effectively avoiding the occurrence of the above-mentioned problems.

[0039] Other advantages, objectives and features of the present invention will be described in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the following examination and study, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to make the purpose, technical solution and beneficial effects of the present invention clearer, the present invention provides the following drawings for illustration:

[0041] Figure 1 It is a dual prevention system for aviation risks and hidden dangers based on smart supervision.

[0042] Figure 2 This is the interface diagram for reporting hazardous sources.

[0043] Figure 3 It is the risk matrix and risk level evaluation standard.

[0044] Figure 4 A table of measures to be taken corresponding to the risk matrix.

[0045] Figure 5 This is a video surveillance picture.

[0046] Figure 6 This is a schematic diagram of the mobile phone interface.

[0047] Figure 7 This is a flow chart of the dual prevention method for aviation risks and hidden dangers based on smart supervision.

[0048] Figure 8 This is a hidden danger distribution map.

[0049] Fig. 9 For airport map.

[0050] Fig.10 This is a hazard source distribution map.

[0051] Fig.11 This is a safety tip distribution map. DETAILED DESCRIPTION

[0052] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0053] Example 1

[0054] like Figure 1 As shown, the dual prevention system for aviation risks and hidden dangers based on smart supervision provided in this embodiment includes a dual prevention mechanism intelligent management system, a risk hidden danger digital twin center, and a mobile terminal;

[0055] The dual prevention mechanism intelligent management system is used to extract hidden danger list data and hazard source list data, and perform analysis and processing; the analysis and processing includes forming independent tables, and performing functions such as classification, screening, and chart generation. The dual prevention system is interconnected with the safety management phase II system to enable front-line personnel to fill in operational hidden danger information and hazard source information in the phase II, and the prevention system can synchronously update the information.

[0056] The second phase safety management system in this embodiment classifies the problems found in safety work (safety monitoring, audit assessment, risk management, hidden danger investigation, incident investigation, statutory self-inspection, etc.) into categories and includes them in the list of hazard sources and hidden dangers for full-cycle closed-loop management. The safety data and information in safety work are integrated into the second phase system as much as possible for collection, analysis and display, so as to achieve full-process management and continuous sharing of data information. The dual prevention mechanism intelligent management system adopts B / S architecture.

[0057] like Figure 2 As shown, Figure 2It is a hazard source reporting interface diagram. The risk hidden danger digital twin center is used to generate a general aviation airport template diagram and generate a digital twin model in combination with a digital map, and display the hidden danger list data and the hazard source list data on the digital twin model; the general aviation airport template diagram is a general aviation airport template diagram based on UE5, mainly including: runway, taxiway, connecting road, control tower, hangar, high pole lamp, fuel room, small oil tank, apron, aircraft model; the runway includes runway distance, runway edge lights, and runway line. This embodiment integrates risk hidden dangers into the real scene of the electronic map, and uses GIS (Map Geographic Information System) and visual scene roaming technology to establish an electronic map of risk hidden danger distribution according to different flight stages and operating areas, and continuously fills the electronic map through data updates, which comprehensively and vividly reflects the specific distribution of hazard sources and safety hazards, which is conducive to dynamic supervision of risks and safety hazards.

[0058] The dual prevention mechanism intelligent management system in this embodiment is combined with the safety management phase II system to extract the hidden dangers and hazard source list data of the phase II, form an independent table, and develop functions such as classification, screening, and chart generation. The dual prevention system is interconnected with the safety management phase II system to enable front-line personnel to fill in the operation hidden danger source information in the phase II, and the prevention system can update the information synchronously.

[0059] The dual prevention mechanism intelligent management system includes a hazard source classification standard function module, a system guarantee function module, an intelligent association function module, and a video monitoring function module;

[0060] The hazard source classification standard function module is used to set the hazard source classification standard. In this embodiment, the hazard source classification standard adopts a risk matrix diagram to divide the hazard sources into different levels according to the possibility and severity of accidents; this can help regulators better identify and evaluate hazard sources and formulate corresponding preventive measures;

[0061] like Figure 3 As shown, Figure 3 The risk matrix and risk level evaluation standard are as follows: the risk matrix includes a risk possibility value and a risk severity value. The risk possibility value is set to five levels, namely, frequent, occasional, rare, impossible, and extremely unlikely; its quantitative value is set to 5, 4, 3, 2, and 1 in descending order; the risk severity value is set to five levels, namely, catastrophic, dangerous, major, minor, and negligible; its quantitative value is set to 5, 4, 3, 2, and 1 in descending order;

[0062] like Figure 4 As shown, Figure 4 The risk matrix corresponding to the measures to be taken table; the risk matrix corresponding to the measures to be taken table is set with risk level, acceptable level, measures to be taken, evaluation and decision-making authority;

[0063] The risk levels include the following five types: extreme risk, represented by red, with a value of [20, 25]; high risk, represented by orange, with a value of [15, 20); medium risk, represented by yellow, with a value of [8, 15); low risk, represented by green, with a value of [4, 8); negligible risk, represented by white, with a value of [1, 4);

[0064] The values ​​are calculated based on the quantitative values ​​in the risk matrix and risk level evaluation criteria; the values ​​can be stored in the database by presetting, or can be obtained by uploading through real-time detection.

[0065] The acceptable level, measures to be taken, evaluation and decision-making authority corresponding to the risk level are set as follows:

[0066] Extreme risks are unacceptable; the measures to be taken are: immediately restrict or stop operation, take control measures, and resume operation only after the risk level is reduced, and continue to control the risk; evaluation and decision-making authority: the safety committee organizes experts to evaluate and make decisions;

[0067] High risk means that emergency measures are acceptable in the short term; the measures to be taken are: take emergency measures immediately and formulate long-term control measures. Only after the risk is reduced after evaluation and confirmation can it be operated in the long term; evaluation and decision-making authority: the safety management department organizes experts to evaluate and make decisions;

[0068] Medium risk means that measures can be taken to be acceptable; the measures to be taken are: analyzing and improving existing risk control measures, or formulating new risk control measures, and operating under certain monitoring conditions; evaluation and decision-making authority: evaluation and decision-making by departmental industry experts, and filing with the safety supervision department; when it is cross-departmental, the safety supervision department organizes experts to evaluate and make decisions;

[0069] Low risk means it is acceptable under monitoring; measures to be taken are: monitor the dynamic situation of risk and take measures; evaluation and decision-making authority: industry departments evaluate and make decisions;

[0070] Negligible risk is acceptable; measures to be taken are: no further action is required, but relevant records must be kept; evaluation and decision-making authority: industry department evaluation and decision-making;

[0071] There are a large number of hazards in the daily operation of the airport and the process of aircraft take-off and landing. It is key to scientifically classify, evaluate and manage these hazards. The hazard classification standard function module can provide a standardized hazard classification standard for airport safety regulators;

[0072] The system guarantee function module is used to set up and publish rules and regulations documents that specify hidden dangers and sources of danger;

[0073] There are many rules and regulations in the civil aviation field, such as various laws, regulations, notices, procedures, standards, etc. These are important bases for guiding the college's dual prevention work mechanism. These rules and regulations are fragmented and mainly displayed in the cockpit, fuel room and tower, and users can click to read. The system guarantee function module is mainly used to publish and share the rules and regulations of the state, bureau, and college on the dual prevention mechanism. For college employees and trainees, they can use this module to understand the latest safety production system guarantee situation and ensure that their work and study meet the prescribed standards;

[0074] The intelligent association function module is used to compare and analyze the keywords of the newly received hazard source and hidden danger information with the existing hazard source and hidden danger information in the database;

[0075] In the actual operation process, when the risk control measures taken for hazardous sources are weakened or ineffective, or when violations of regulations occur, safety hazards will be created. At this time, the hazards must be managed. If repeated violations occur after management or the risks are still assessed as unacceptable, the system analysis process must be repeated. The hazardous sources and hidden dangers will be interconnected, and the corresponding hazardous sources and hidden dangers will be clearly identified in the system.

[0076] The intelligent association function module also provides a setting function to associate hidden dangers and sources of danger with each other, further improving the perception of risks and reducing the incidence of air flight safety accidents;

[0077] In the field of civil aviation, it is very important to repair the sources of danger and hidden dangers. Timely discovery and processing of this information can avoid accidents. When the supervisor fills in the new sources of danger and hidden dangers information, the system will automatically identify the keywords and automatically associate the existing sources of danger and hidden dangers information in the current database; this can more quickly and accurately identify and handle related problems, and improve the level of flight safety management;

[0078] like Figure 5 As shown, Figure 5The video surveillance diagram shows that the video surveillance function module provides the ability to monitor and record the airport area in real time by using intelligent video surveillance technology, and provides event identification, alarm and response support for security personnel; security personnel observe the situation in various areas of the airport in real time through surveillance cameras, and the surveillance images can be displayed in real time on the display screen of the monitoring center. The video surveillance system records the surveillance images and stores the recordings in the local server, so that security personnel can review and check past surveillance data for investigation, evidence collection and other work. In order to facilitate the monitoring and management work of security personnel, the system supports remote access function, and security personnel can remotely view and manage the surveillance images through a secure network connection, which effectively improves the safety and management efficiency of the airport;

[0079] The dual prevention mechanism intelligent management system provided in this embodiment sets the elements of the two lists according to the hazard source list and the hidden danger list, including the name, responsible department, hazard source identification, risk analysis and evaluation classification, control measures, residual risk and other elements, and screens according to the elements. According to the classification of the list elements, bar charts, pie charts, line charts and other charts can be generated; the two lists can be imported and exported; the hazard sources and safety hidden dangers can be pushed to the personnel of the department in batches; and a dual prevention mechanism database is also included, which is used to store the hidden danger list data, hazard source list data, hazard source classification standards, and rules and regulations documents;

[0080] It also includes a flight training safety management system, which stores various hazard sources, safety hazard information, safety hazard events, and hazard source events through a set hazard source database and a safety hazard database;

[0081] The hazard source database is used to store hazard source information, which includes hazard source serial number, entry date, hazard source name, risk level, main unit and department, industry, category, possibility of existence, severity of hazard source, status of hazard source and its acceptability, whether to delete and manage. The manager can query or re-fill the hazard source by corresponding serial number, risk level or source, etc., and can also export these data to Excel for subsequent unified management;

[0082] The safety hazard database is used to store safety hazard information, which includes the safety hazard serial number, name, entry date, closing time, main unit and department, industry to which the hazard belongs and a simple hazard description, hazard design business and process, hazard source, hazard level, etc. The manager can also query, modify and export this information by the safety hazard serial number, name, etc.

[0083] The safety hazard event is provided with the name and number of the event, a description of the safety hazard, a cause analysis, the time, source, type, registration, etc. of the event. Through the above information, the supervisor can clearly understand the occurrence status and situation of the safety hazard event, and propose corresponding corrective measures for the safety hazard event. There is a record of corrective measures below the safety hazard information, including the corrective measures adopted, the person responsible for the correction, the correction time, the verification standard and verification time of the corrective measures, and the verification status tracking.

[0084] The hazardous source event is provided with the name, number, main unit, cause analysis of the hazardous source, and possible consequence analysis. The hazardous source has been classified according to certain standards, including the possibility level, severity level, risk level, whether the hazardous event is supervised and controlled, the status of the event, and whether there will be residual risks and derivative risks. Similarly, through the above information, the supervisor can clearly understand the detailed information of the hazardous source event and propose corresponding corrective measures. Below the hazardous source event information, there is a record of corrective measures, including the control measures adopted, the verification standards of the measures, and the process status.

[0085] The flight training safety management system in this embodiment filters the data, imports it into the corresponding database after merging, and lists two lists of hazard source data and safety hazard data. It also sets the filtering function according to the factors, intelligently generates bar charts, pie charts, line charts and other charts, and can automatically push the content of hazard sources and safety hazards to the users of the system.

[0086] The risk hidden danger digital twin center is used to generate a general aviation airport template map and generate a digital twin model in combination with a digital map, and visualize the output information of the dual prevention mechanism intelligent management system on the digital twin model;

[0087] The risk hidden danger digital twin center includes a general aviation airport template map, digital map, and digital twin interaction based on UE5;

[0088] The general aviation airport template diagram is based on UE5, and mainly includes: runway, taxiway, contact road, control tower, hangar, high pole lamp, fuel room, small oil tank, apron, aircraft model; the runway includes runway distance, runway edge lights, and runway line;

[0089] The visual display is to display the hidden danger source information in the double prevention mechanism database on the digital map according to the location, type and classification of the hidden danger source information;

[0090] The digital map in this embodiment uses digital twin technology to integrate risk and hidden danger data, integrates risk source information and safety hidden danger information from the flight training safety management system, and visualizes them on the general aviation airport template map. By combining data with the map, users can clearly understand the location, type and severity of risk and hidden dangers;

[0091] It is also possible to obtain and update the risk source information and safety hazard information in the airport in real time. Managers can fill in the newly added risk source and safety hazard information by marking in the general aviation template map and store it in the local database to ensure that the distribution of risk hazards in the digital map is synchronized with the actual situation, which enables users to promptly understand the emergence or handling of new risk hazards. Users can browse the map by zooming, panning, rotating and other operations to view detailed information in different areas. At the same time, the risk hazard points on the map will be marked with different symbols, colors or sizes to indicate their level, type or other attributes.

[0092] The risk hidden danger digital twin center is provided with a digital twin interaction module, and the digital twin interaction module includes a cockpit internal operation module, a hangar and aircraft fuel truck shed internal operation module, and a tower internal operation module;

[0093] This embodiment uses digital twin interaction technology to provide rich functions in the general aviation airport template map, so that users can freely switch between electronic maps and visual roaming, and perform interactive and simulated operations in three parts. Specifically:

[0094] 1) Cockpit internal operation module: Users can conduct a 720° visual tour, and use pictures and videos to display the danger sources, safety hazards and corresponding control measures. Users can interact with the visual tour to gain a deeper understanding of the risks and hidden dangers that may exist during flight, laying a foundation for future safe flights.

[0095] 2) Operation module inside the hangar and aircraft fuel truck shed beside the airport runway: Since aviation fuel is flammable and explosive, simulation and monitoring of these areas is the key to preventing risks and hidden dangers in intelligent supervision of general aviation. Users can roam around these areas through visual scenes and simulate the hazards caused by oil tank explosions in real time. In addition, a large number of rules and regulations will be displayed around, so that simulation and rules and regulations can be combined to complement each other.

[0096] 3) The tower internal operation module can realize the interactive operation of the tower from the inside to the outside;

[0097] The digital twin interaction provided in this embodiment uses the function of digital twin interaction and the general aviation airport template map to provide users with a more intuitive, flexible and detailed way to understand and manage risk hazards. At the same time, the interactive operation can also help users effectively prevent accidents and ensure safe operations.

[0098] like Figure 6 As shown, Figure 6 This is a schematic diagram of the mobile terminal interface, which is used to upload risk hidden danger data and query risk hidden danger data and related information;

[0099] Through the mobile terminal, you can grasp the safety production situation anytime and anywhere, realize information sharing and knowledge management, optimize the existing management processes and working methods, realize refined management, improve management efficiency and safety level, help better manage operational risks, reduce the occurrence rate of air flight accidents, and thus ensure the safety and smoothness of aircraft operations.

[0100] Example 2

[0101] like Figure 7 As shown, the dual prevention method for navigation risks and hidden dangers based on intelligent supervision provided in this embodiment includes the following steps:

[0102] S1: Use digital twin technology and UE5 to build a panoramic airport map;

[0103] S2: Obtain navigation data, supervision data, hidden danger list data, and hazard source list data;

[0104] S3: constructing a dual prevention mechanism database, which includes a hazard source database and a safety hazard database;

[0105] S4: storing the acquired data in a corresponding database, and processing and analyzing the acquired data to obtain geographic location data;

[0106] S5: Obtaining a template map of an airport corresponding to a digital map according to the geographic location data;

[0107] S6: The general aviation airport template map corresponding to the digital map adopts a visual display method to display the hidden danger and hazard source information according to the location, type and classification level of the hidden danger and hazard source information.

[0108] Figure 8 For the hidden danger distribution map, in this embodiment, by real-time acquisition and update of risk source information and safety hazard information in the airport, the manager can fill in the newly added risk source and safety hazard information and store it in the local database by making a dot operation in the general aviation template map, ensuring that the risk hazard distribution in the digital map is synchronized with the actual situation, which enables users to promptly understand the emergence or handling of new risk hazards.

[0109] Users can interact with the map through keyboard, mouse or touch screen to explore risk models at different angles and heights. Through operations such as zooming in, zooming out, rotating, and roaming, users can better understand the distribution of risk hazards. Using UE5's data visualization and analysis functions, risk hazard data can be displayed in the form of charts, statistical data, etc. Charts and data analysis can help users gain a deeper understanding of the distribution trends and characteristics of risk hazards.

[0110] This system can help us more vividly identify and understand the risks and hidden dangers in the airport. Combined with the training of the double prevention mechanism, it can comprehensively improve the level of flight training safety and airport management safety in the academy.

[0111] like Fig. 9 As shown, Fig. 9 For airport maps, this system generally adopts B / S architecture (Browser / Server architecture) to build Web applications. In the B / S architecture, the client (browser) and the server communicate through the network. Use digital twin technology and UE5 to build a panoramic airport map;

[0112] First, collect data: collect scene data through various sensors (such as lidar, cameras, etc.) to obtain the three-dimensional geometry, color, texture and other information of the scene.

[0113] Then, process the data: process and optimize the collected scene data to ensure accuracy, visualization and improve efficiency. Use point cloud registration technology to merge the point clouds collected multiple times, and use image processing methods to generate texture maps. Create 3D models: Based on the collected and processed data, use 3D modeling software such as UE5 to build various elements, buildings, facilities and equipment, as well as landscapes in the airport scene, and add details and special effects such as lighting, shadows, weather, etc. to the 3D scene to make the entire scene more realistic.

[0114] Finally, import the panoramic map: import the processed 3D scene into the digital twin platform and add interactive functions, mainly for the interaction inside the aircraft cockpit, the hangar next to the airport runway, the inside of the aircraft fuel truck shed, and the tower from the inside to the outside.

[0115] like Fig.10 As shown, Fig.10 For the hazard source distribution map, a panoramic airport map is built through digital twin technology and UE5, providing a real and interactive airport scene that corresponds to the real world and has a high response speed, which comprehensively reflects the specific distribution of hazards and safety hazards in the airport.

[0116] like Fig.11 As shown, Fig.11 For the safety prompt distribution map, users can interact with the map through the keyboard, mouse or touch screen to explore risk hidden models at different angles and heights. It can also provide operations such as zooming in, zooming out, rotating, and roaming, so that users can better understand the distribution of risk hidden dangers. Using the data visualization and analysis functions of UE5, the risk hidden danger data is displayed in the form of charts, statistical data, etc. Through charts and data analysis, users can have a deeper understanding of the distribution trends and characteristics of risk hidden dangers.

[0117] The system provided in this embodiment can comprehensively improve the level of flight training safety and airport management safety by showing trainees the risks and hidden dangers existing in the airport with a more vivid identification and understanding.

[0118] The above-described embodiments are only preferred embodiments for fully illustrating the present invention, and the protection scope of the present invention is not limited thereto. Equivalent substitutions or changes made by those skilled in the art based on the present invention are within the protection scope of the present invention. The protection scope of the present invention shall be subject to the claims.

Claims

1. The dual prevention system of aviation risks and hidden dangers based on intelligent supervision is characterized by: Including the intelligent management system of dual prevention mechanism and the digital twin center of risk hazards; The dual prevention mechanism intelligent management system is used to extract hidden danger list data and hazard source list data, and analyze and process them; The risk and hidden danger digital twin center is used to generate a general aviation airport template map and generate a digital twin model in combination with a digital map, and to display the hidden danger list data and hazard source list data output by the dual prevention mechanism intelligent management system on the digital twin model.

2. The dual prevention system for navigation risks and hidden dangers based on intelligent supervision as claimed in claim 1 is characterized by: The dual prevention mechanism intelligent management system includes a hazard source classification standard function module, a system guarantee function module, an intelligent association function module and a video monitoring function module; The hazard source classification standard function module is used to set the hazard source classification standard; The system guarantee function module is used to set up and publish rules and regulations documents that specify hidden dangers and sources of danger; The intelligent association function module is used to compare and analyze the keywords of the identified hazard source and hidden danger information with the existing hazard source and hidden danger information in the database according to the received newly added hazard source and hidden danger information; and to associate the hidden danger information with the hazard source; The video monitoring function module is used to obtain real-time monitoring images of the airport area.

3. The dual prevention system for navigation risks and hidden dangers based on intelligent supervision as claimed in claim 1 is characterized by: The video monitoring function module provides real-time monitoring and recording of the airport area through video monitoring technology, and stores the video in a local server.

4. The dual prevention system for navigation risks and hidden dangers based on intelligent supervision as claimed in claim 1 is characterized by: It also includes a dual prevention mechanism database, which is used to store hidden danger list data, hazard source list data, hazard source classification standards, and rules and regulations documents.

5. The dual prevention system for navigation risks and hidden dangers based on intelligent supervision as claimed in claim 1 is characterized by: It also includes a flight training safety management system, which stores various hazard sources, hazard source events, safety hazard information, and safety hazard events through a set hazard source database and a safety hazard database; The hazard source database is used to store hazard source information; The hazardous source event is provided with the name, number and level classification of the event; The potential safety hazard database is used to store potential safety hazard information; The potential safety hazard event is provided with an event name, number, and level classification.

6. The dual prevention system for navigation risks and hidden dangers based on intelligent supervision as claimed in claim 1 is characterized by: The risk hidden danger digital twin center is used to generate a general aviation airport template map and generate a digital twin model in combination with a digital map, and visualize the output information of the dual prevention mechanism intelligent management system on the digital twin model.

7. The dual prevention system for navigation risks and hidden dangers based on intelligent supervision as claimed in claim 1 is characterized by: The risk hidden danger digital twin center is provided with a digital twin interaction module, and the digital twin interaction module includes a cockpit internal operation module, a hangar and aircraft fuel truck shed internal operation module, and a tower internal operation module.

8. The dual prevention system for navigation risks and hidden dangers based on intelligent supervision as claimed in claim 1 is characterized by: It also includes a mobile terminal, which is used to upload risk hidden danger data and query risk hidden danger data.

9. A prevention method using the dual prevention system for navigation risks and hidden dangers based on intelligent supervision as described in any one of claims 1 to 8, characterized in that: The following steps are involved: S1: Use digital twin technology and UE5 to build a panoramic airport map; S2: Obtain navigation data, supervision data, hidden danger list data, and hazard source list data; S3: constructing a dual prevention mechanism database, which includes a hazard source database and a safety hazard database; S4: storing the acquired data in a corresponding database, and processing and analyzing the acquired data to obtain geographic location data; S5: Obtaining a template map of an airport corresponding to a digital map according to the geographic location data; S6: The general aviation airport template map corresponding to the digital map adopts a visual display method to display the hidden danger and hazard source information according to the location, type and classification level of the hidden danger and hazard source information.

10. The dual prevention method for navigation risks and hidden dangers based on intelligent supervision as claimed in claim 9 is characterized by: The hidden danger sources are graded and calculated in the following manner: The acquired hidden danger source information is set as a risk matrix diagram, and the danger sources are divided into different levels according to the possibility and severity of the accident to obtain the risk matrix and risk level evaluation standard: The risk matrix includes a risk probability value and a risk severity value, and the risk probability value is set to five levels, namely frequent, occasional, rare, impossible, and extremely unlikely; The quantitative values ​​decrease in sequence; the risk severity value is set to five levels, namely, catastrophic, dangerous, major, minor, and negligible; The quantitative values ​​decrease in sequence.

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