Full-automatic driving vehicle base comprehensive monitoring system with monitoring and inspection fusion perception

Abstract

The invention discloses a full-automatic driving vehicle base comprehensive monitoring system with monitoring and inspection fusion perception, which belongs to the technical field of rail transit and comprises a hardware monitoring module, a network module, an algorithm module, an evaluation judgment module and a fusion module. The hardware monitoring module is used for monitoring the inside and outside of the automatic driving vehicle base; the network module is used for transmitting data and information monitored by the hardware monitoring module to the algorithm module; the algorithm module is used for performing analysis according to the data and information monitored by the hardware monitoring module and transmitting an analysis result to the evaluation judgment module; the evaluation and judgment module is used for performing evaluation and judgment according to an analysis result of the algorithm module; and the fusion module is used for fusing data and information of the hardware monitoring module, the network module, the algorithm module and the evaluation judgment module. The monitoring system provided by the invention can realize comprehensive, real-time and accurate monitoring of the full-automatic driving vehicle base.

Description

Technical Field

[0001] This invention belongs to the field of rail transit technology, specifically relating to a comprehensive monitoring system for fully automated driving vehicle depots that integrates monitoring and inspection perception. Background Technology

[0002] With rapid urban development, the scale and number of rail transit lines are constantly expanding, making its role in the urban transportation system increasingly important. However, fully automated vehicle depots face numerous challenges and safety hazards during long-term operation.

[0003] On the one hand, the monitoring needs in areas such as fully automated vehicle depots are becoming increasingly complex. For example, floods and fires in vehicle depots can seriously affect the safety of maintenance personnel and the operational order of the depot; floods, abnormal track and overhead contact line geometry, and intrusion of personnel or foreign objects in the track area can threaten the safe operation of trains. Traditional monitoring methods usually target single types of problems or areas independently, and in particular, there is a lack of universal solutions for monitoring vehicle depot entrances and exits, depot access lines, and sections, resulting in insufficient comprehensiveness and accuracy of monitoring results.

[0004] On the one hand, traditional independent monitoring platforms have limitations in functionality and performance, making it difficult to achieve comprehensive, real-time, and accurate monitoring of fully automated vehicle bases. Furthermore, external environmental factors such as weather forecast monitoring and earthquake monitoring also have a significant impact on the safe operation of fully automated vehicle bases, but existing monitoring systems often fail to fully incorporate these external factors into their monitoring scope, resulting in a lack of systematization and comprehensiveness in the monitoring system.

[0005] On the other hand, the design and planning of rail transit platforms vary from city to city, and existing monitoring platforms differ significantly in their adaptability, making it difficult to meet the monitoring needs of different scenarios. This difference in adaptability affects the overall level of monitoring and safety management, necessitating a highly versatile regulatory platform that can support rapid deployment and customized applications for different cities and rail transit platforms to adapt to different environments and requirements.

[0006] In conclusion, in order to ensure the safe operation of fully automated vehicle bases and improve the efficiency and accuracy of monitoring and control, it is necessary to propose a comprehensive monitoring system for fully automated vehicle bases that integrates monitoring, inspection, and perception. Summary of the Invention

[0007] In response to one or more of the above-mentioned defects or improvement needs of the existing technology, the present invention provides a comprehensive monitoring system for fully automated vehicle bases that integrates monitoring and inspection perception, thereby achieving comprehensive, real-time and accurate monitoring of fully automated vehicle bases.

[0008] To achieve the above objectives, the present invention provides a comprehensive monitoring system for a fully automated vehicle base that integrates monitoring and inspection perception, including a hardware monitoring module, a network module, an algorithm module, an evaluation and judgment module, and a fusion module; The hardware monitoring module is used to monitor both inside and outside the autonomous vehicle base. The network module is used to transmit the data and information monitored by the hardware monitoring module to the algorithm module; The algorithm module is used to analyze the data and information monitored by the hardware monitoring module and transmit the analysis results to the evaluation and judgment module. The evaluation and judgment module is used to evaluate and judge based on the analysis results of the algorithm module; The fusion module is used to integrate the data and information from the hardware monitoring module, network module, algorithm module, and evaluation and judgment module.

[0009] As a further improvement of the present invention, the hardware monitoring module includes a site monitoring unit, an external monitoring unit, and an existing monitoring unit; The site monitoring unit includes monitoring of track structure deformation, foreign object intrusion into the track area, flooding, fire, and train fault detection. The external monitoring units include weather forecast monitoring, earthquake monitoring, and GIS monitoring; The existing monitoring units include ISCS, BAS, FAS, and CCTV.

[0010] As a further improvement of the present invention, flood monitoring is achieved through fiber optic grating water level sensors, video cameras, and water level gauges; fire monitoring is achieved through temperature sensors and smoke sensors; foreign object intrusion monitoring is achieved through infrared PTZ cameras; track structure deformation monitoring is achieved through fiber optic grating sensors; and train malfunctions are detected through inspection robots.

[0011] As a further improvement of the present invention, the fiber Bragg grating water level sensor and the fiber Bragg grating demodulator transmit data to the fiber Bragg grating demodulator, and after demodulation, transmit it to the PoE switch. Simultaneously, the infrared PTZ camera uploads data to the NVR, and then transmits it to the PoE switch. The PoE switch continues to transmit data from both the fiber Bragg water level sensor and the infrared PTZ camera to the core switch. The video camera transmits data to the data acquisition host and then to the core switch via a wireless AP. Simultaneously, the inspection robot transmits data to the core switch via a wireless AP. The temperature sensor and the smoke sensor transmit data to the core switch via the aggregation layer switch. All data from the maintenance depot and track area is then uploaded to the depot server via the core switch.

[0012] As a further improvement of the present invention, the external monitoring unit and the existing monitoring unit transmit data to the core switch via optical fiber, and then transmit the data to the depot server via the core switch.

[0013] As a further improvement of the present invention, the vehicle depot server is divided into a local server and a remote server; The local server includes a central communication equipment room, a communication equipment room, a wiring closet, a data center room, a backbone fiber optic network access room, an NCC room, a dispatch hall, an NCC data communication room, and an ISCS equipment room. The remote server includes an emergency dispatch and command platform, a BIM visualization system server, a holographic perception and intelligent diagnosis system server, a China Southern Airlines algorithm server, and a knowledge base system server. The local server transmits data to the remote server through a VPN server in the NCC data center.

[0014] As a further improvement of the present invention, the algorithm module includes a functional algorithm unit and a general algorithm unit; The functional algorithm unit includes a single measurement point alarm algorithm, a line alarm algorithm, a regional alarm algorithm, a site alarm algorithm, a multi-hazard coupling function algorithm, an emergency plan matching algorithm, a trend prediction algorithm, a disaster source tracing algorithm, a vulnerability algorithm, a health algorithm, and a quality index algorithm, which are used to perform real-time monitoring and alarms for different monitoring points and areas of the fully automated vehicle base. The general algorithm unit includes a preprocessing algorithm, a spatial interpolation algorithm, a temporal interpolation algorithm, and a hyperellipse algorithm.

[0015] As a further improvement of the present invention, the evaluation and determination module includes an evaluation module and a determination module; The evaluation module includes a quality index evaluation unit, a vulnerability evaluation unit, and a health evaluation unit; the judgment module includes a comprehensive judgment unit and an early warning judgment unit; after the evaluation and judgment are completed, contingency plan matching, multi-hazard coupling, and emergency linkage are performed.

[0016] As a further improvement of the present invention, the fusion module includes a multi-dimensional heterogeneous data fusion unit, an information fusion unit, and a multi-service platform fusion unit; The multidimensional heterogeneous data fusion unit is used to fuse data from different monitoring devices, different monitoring parameters, and different monitoring frequencies and accuracies to form a comprehensive and unified monitoring dataset. The information-physical fusion unit is used to integrate physical entities with digital information to achieve digital modeling and visual management of the vehicle base. The multi-service platform integration unit is used to integrate and coordinate multiple service platforms such as monitoring platform, operation and maintenance management platform, and emergency command platform, breaking down information silos and achieving seamless data and service integration.

[0017] As a further improvement of the present invention, the network module includes WIFI, 5G, LoRa, 800M, fiber optic and local area network.

[0018] In summary, the technical solutions conceived by this invention have the following beneficial effects compared with the prior art: (1) The monitoring and inspection fusion perception integrated monitoring system for fully automated vehicle bases of the present invention is equipped with a variety of high-precision sensors and monitoring equipment in the hardware monitoring module to achieve comprehensive, real-time and accurate monitoring of fully automated vehicle bases. At the same time, it effectively integrates external environmental factors to provide more reliable and comprehensive safety protection. Furthermore, the integrated monitoring system is highly versatile and applicable to the comprehensive monitoring of all fully automated vehicle bases.

[0019] (2) The monitoring and inspection fusion perception of the fully automated vehicle base integrated monitoring system of the present invention realizes multi-dimensional data fusion, information fusion and multi-service fusion of the fully automated vehicle base, integrates sensor data, video surveillance data, geographic information data, etc., realizes multi-source data fusion, and improves the platform's comprehensive management and control capabilities.

[0020] (3) The integrated monitoring system for fully automated vehicle bases with integrated monitoring and inspection perception of the present invention adopts a variety of network technologies in the network module, and the platform can adapt to different monitoring scenarios and facility environments; the algorithm, evaluation and judgment modules are flexible and highly adaptable, and can be widely used in the monitoring and control of fully automated vehicle bases of different scales and types. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of a fully automated vehicle base integrated monitoring system based on the fusion of monitoring and inspection perception, according to an embodiment of the present invention. Figure 2 This is a hardware structure diagram of the field monitoring unit of the hardware monitoring module in an embodiment of the present invention; Figure 3 This is a diagram of the remote server hardware structure of the hardware monitoring module in an embodiment of the present invention. Figure 4 This is a local server hardware structure diagram of the hardware monitoring module in an embodiment of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0023] As a preferred embodiment of the present invention, such as Figure 1 As shown, this invention proposes a comprehensive monitoring and safety management platform for fully automated vehicle depots based on integrated monitoring and inspection perception. The platform includes a hardware monitoring module, a network module, an algorithm module, an evaluation and judgment module, and a fusion module. The hardware monitoring module monitors both the on-site and off-site aspects of the automated vehicle depot. The network module transmits the data and information monitored by the hardware monitoring module to the algorithm module. The algorithm module analyzes the data and information monitored by the hardware monitoring module and transmits the analysis results to the evaluation and judgment module. The evaluation and judgment module evaluates and judges based on the analysis results of the algorithm module. The fusion module integrates the data and information from the hardware monitoring module, network module, algorithm module, and evaluation and judgment module.

[0024] In one embodiment of the present invention, the hardware monitoring module includes a site monitoring unit, an external monitoring unit, and existing monitoring units. The site monitoring unit includes monitoring for track structure deformation, foreign object intrusion into the track area, flooding, fire, and train fault detection; the external monitoring unit includes weather forecast monitoring, earthquake monitoring, and GIS monitoring, primarily used for monitoring weather and earthquakes; the existing monitoring units include ISCS (Integrated System Control System), BAS (Building Equipment Monitoring System), FAS (Fire Alarm System), and CCTV (Closed-Circuit Television System).

[0025] Specifically, in the site monitoring unit, flood monitoring is achieved by deploying fiber optic grating water level sensors, video cameras, and water level gauges in areas with low elevations and vulnerable to water inundation (such as entrances, exits, and drainage systems); fire monitoring is achieved by deploying temperature and smoke sensors in major units of the vehicle base (such as the depot, integrated building, combined garage, and main material warehouse); foreign object intrusion monitoring is achieved by deploying infrared PTZ cameras in the track area; track structure deformation is monitored by installing fiber optic grating sensors within the track structure; and train malfunctions are detected by inspection robots.

[0026] This invention integrates multiple sensors and monitoring devices to conduct multi-dimensional monitoring of both unmanned and manned areas of fully automated vehicle depots, comprehensively collect data, promptly identify safety hazards, and effectively integrate external environmental factors to provide more reliable and comprehensive safety assurance. Furthermore, the integrated monitoring system is highly versatile and applicable to the comprehensive monitoring of all fully automated vehicle depots, particularly suitable for monitoring entrances and exits of depots and sections.

[0027] Furthermore, such as Figure 2 As shown, in the site monitoring unit, all the hardware used for monitoring operates simultaneously. The fiber Bragg grating water level sensor and the fiber Bragg grating demodulator transmit data to the demodulator, where it is demodulated and then transmitted to the PoE switch. Simultaneously, the infrared PTZ camera uploads data to the NVR and then to the PoE switch. The PoE switch then transmits the data from both the fiber Bragg water level sensor and the infrared PTZ camera to the core switch. The video camera transmits data to the data acquisition host and then to the core switch via a wireless AP. Simultaneously, the inspection robot transmits data to the core switch via a wireless AP. Temperature and smoke sensors transmit data to the core switch via the aggregation layer switch. Finally, the core switch uploads all data from the maintenance depot and track area to the depot server, enabling monitoring of the vehicle base maintenance depot, track area, and other areas.

[0028] Furthermore, both the external monitoring unit and the existing monitoring unit transmit data to the core switch via optical fiber, and then the core switch transmits the data to the depot server.

[0029] In one embodiment of the present invention, the depot server is divided into a local server (local deployment) and a remote server (remote persistent deployment). The local server handles tasks with high real-time requirements, ensuring that basic depot operations are not interfered with by external factors. The local server persistently synchronizes the processed result data, summary alarms, and raw data that needs to be stored long-term to the remote server. Based on the aggregated full data, the remote server performs more macroscopic and in-depth analysis, and then distributes the analysis results (such as new fault diagnosis models and optimized maintenance plans) back to each local server to guide their operation.

[0030] Preferably, such as Figure 3 As shown, the local server includes a central communication equipment room, a communication equipment room, a wiring closet, a data center room, a backbone fiber optic network access room, an NCC room, a dispatch hall, an NCC data communication room, and an ISCS equipment room.

[0031] The core switch collects all data from the maintenance depot and track area, transmits it via optical fiber to the central communication equipment room, and then forwards it to different rooms in the vehicle depot. In this embodiment, the data is transmitted sequentially via optical fiber to the patch panel in the communication equipment room, the patch panel in the backbone optical fiber network access room, and the patch panel in the distribution room. Simultaneously, the patch panel in the distribution room is connected via optical fiber to the data center room, the NCC room, the dispatch hall, and the NCC data communication room.

[0032] Specifically, the NCC data center serves as the core of the local server system, comprising the NCC (CCTV) integrated interface server, the ISCS integrated core interface server, the holographic perception and intelligent diagnostic decision-making platform, the BIM visualization system, the emergency dispatch and command system, the VPN server, a firewall, and an aggregation switch. The aggregation switch is connected to the patch panel in the wiring closet via the firewall, and a newly installed switch connects to the NCC (CCTV) integrated interface server, the ISCS integrated core interface server, the holographic perception and intelligent diagnostic decision-making platform, the BIM visualization system, the emergency dispatch and command system, and the VPN server. The aggregation switch in the NCC data center transmits data to the remote server via the VPN server.

[0033] The dispatch hall includes switches, BIM visualization workstations, and a large BIM visualization screen. The switches are connected to the patch panels in the wiring closet via fiber optic cables, and also to the BIM visualization workstations. The BIM visualization workstations, through signal converters, connect to the large BIM visualization screen, allowing users to view the status of the site and issue various decisions through the dispatch hall.

[0034] The NCC data communication room includes a firewall, aggregation switches, and the NCC system. The firewall is connected to the patch panel in the distribution room via fiber optic cable, while the NCC system is connected to the firewall via the aggregation switches. The NCC data communication room provides unified, efficient, and reliable data communication and switching services for the entire urban rail transit network (multiple lines).

[0035] The ISCS equipment room includes firewalls, aggregation switches, and a comprehensive monitoring system. The comprehensive monitoring system connects to the firewall via the aggregation switches, and then to the aggregation switches in the NCC data communication room. The ISCS equipment room is used to house the equipment of the comprehensive monitoring system.

[0036] More preferably, such as Figure 4 As shown, the remote servers include an emergency dispatch and command platform, a BIM visualization system server, a holographic perception and intelligent diagnosis system server, a China Southern Airlines algorithm server, and a knowledge base system server.

[0037] The emergency dispatch and command platform is connected to the BIM visualization system server, and the China Southern Airlines algorithm server is connected to the knowledge base system server. The holographic perception and intelligent diagnostic system server is connected to a separate firewall, and the local server transmits data from the firewall to the remote server via a VPN server. Preferably, all of the above servers use independent internal network VLANs.

[0038] In one embodiment of the present invention, the network module includes WIFI, 5G, LoRa, 800M, fiber optic and local area network, which are used to transmit data to the algorithm module. By using a variety of network technologies, the platform can be widely adapted to different monitoring scenarios and facility environments.

[0039] More preferably, structural deformation monitoring, foreign object intrusion detection in the track area, flood detection, and fire detection use fiber optics to upload data; intelligent inspection robots use LoRa+WiFi to upload data; existing monitoring units use local area networks to upload data; algorithm modules, evaluation and judgment modules, and fusion modules use local area networks for data exchange; and finally, data exchange with application user terminals uses 5G+800M.

[0040] In one embodiment of the present invention, the algorithm module includes a functional algorithm unit and a general algorithm unit. The functional algorithm unit is the core component of the platform for achieving accurate monitoring and safety management, including single-point alarm algorithms, line alarm algorithms, area alarm algorithms, site alarm algorithms, multi-hazard coupling functional algorithms, emergency plan matching algorithms, trend prediction algorithms, disaster tracing algorithms, vulnerability algorithms, health algorithms, and quality index algorithms, etc., capable of real-time monitoring and alarming for different monitoring points and areas in the fully automated vehicle base. The general algorithm unit includes preprocessing algorithms, spatial interpolation algorithms, temporal interpolation algorithms, hyperelliptic algorithms, etc., providing fundamental support for the platform's data analysis and processing.

[0041] Specifically, the single-point alarm algorithm is used to immediately trigger an alarm when the monitoring data of a single point exceeds a preset threshold, reminding staff to pay attention to the abnormal situation at that point; the line alarm algorithm is used to comprehensively analyze the monitoring data of the entire line, and to issue a line safety alarm in a timely manner when the data of multiple points on the line show abnormal trends or reach dangerous thresholds; the area alarm algorithm is used to monitor and alarm specific areas of rail transit (such as fully automated unmanned areas, the vicinity of the depot, etc.); and the depot alarm algorithm is used to alarm for emergency situations within the depot. The multi-hazard coupling algorithm is used to comprehensively analyze the impact of multiple hazards (such as earthquakes, fires, and floods) monitored by the hardware detection module on the fully automated vehicle base when they occur simultaneously or successively, and to formulate response strategies in advance. The emergency plan matching algorithm can quickly match the corresponding emergency plan based on the monitored abnormal situations (such as sudden power outages in the warehouse, abnormal behavior of personnel in the warehouse, etc.). The trend prediction algorithm can predict the future state change trend of the vehicle base through the analysis and modeling of historical monitoring data, providing a basis for preventive maintenance. The disaster tracing algorithm can quickly trace the source and propagation path of a disaster after it occurs, providing support for accident investigation and liability determination. The vulnerability algorithm is used to assess the vulnerability of the fully automated vehicle base under different disaster scenarios, providing a reference for optimizing facility design and layout. The health algorithm is used to assess the health status of the vehicle base in real time, providing a basis for decision-making on facility maintenance and management. The quality index algorithm is used to quantify the quality level of the vehicle base, providing indicators for facility quality control and improvement.

[0042] In one embodiment of the present invention, the evaluation and judgment module includes an evaluation module and a judgment module. The evaluation module includes a quality index evaluation unit, a vulnerability evaluation unit, and a health evaluation unit. The judgment module includes a comprehensive judgment unit and an early warning judgment unit. The judgment module makes judgments through comprehensive decision-making, online monitoring, intelligent inspection, real-time diagnosis, trend analysis, etc. After the judgment is completed, it performs contingency plan matching, multi-hazard coupling, and emergency linkage.

[0043] Specifically, the quality index evaluation unit quantifies and assesses various quality indicators of the vehicle base to reflect the overall quality level of the facility; the vulnerability evaluation unit assesses the vulnerability of the vehicle base to external disasters and disturbances, providing a basis for developing targeted protective measures; the health evaluation unit analyzes data such as the facility's operating status, maintenance records, and failure frequency to assess the facility's health status, providing support for maintenance plans and repair decisions; the comprehensive judgment unit comprehensively considers data from monitoring units at various monitoring points and combines the analysis results of the algorithm module to assess and judge the overall safety status of the vehicle base; and the early warning judgment unit promptly identifies potential safety hazards and issues early warning signals based on preset early warning thresholds and rules.

[0044] For example, in the evaluation and judgment module of this invention, when the site monitoring unit detects a foreign object in a no-man's-land that intrudes into the boundary, the early warning judgment unit will immediately issue an early warning signal. Simultaneously, the comprehensive judgment unit will combine historical monitoring data of the area, surrounding environmental factors, train speed, and other factors to comprehensively assess the cause and potential development trend of the foreign object intrusion, providing a basis for subsequent handling decisions. After the judgment is completed, the platform performs emergency plan matching, multi-hazard coupling, and emergency linkage. The plan matching function can quickly retrieve and match corresponding emergency plans based on the judgment results; the multi-hazard coupling function can consider situations where multiple disasters occur simultaneously or influence each other, and formulate comprehensive response plans; the emergency linkage function can coordinate various relevant departments and platforms to achieve rapid response and collaborative handling, minimizing disaster losses.

[0045] In one embodiment of the present invention, the fusion module includes a multi-dimensional heterogeneous data fusion unit, an information fusion unit, and a multi-service platform fusion unit, which realizes efficient integration and collaboration of various types of data and information within the platform and improves the applicability and versatility of the platform.

[0046] Specifically, the multidimensional heterogeneous data fusion unit is used to fuse data from different monitoring devices, different monitoring parameters (such as displacement, stress, temperature, humidity, etc.), and different monitoring frequencies and accuracies to form a comprehensive and unified monitoring dataset; the information-physical fusion unit is used to fuse physical entities (such as vehicle base units such as maintenance depots and combined garages) with digital information to achieve digital modeling and visual management of vehicle bases; and the multi-business platform fusion unit is used to integrate and coordinate multiple business platforms such as monitoring platforms, operation and maintenance management platforms, and emergency command platforms to break down information silos and achieve seamless data and business integration.

[0047] In the fusion module of this invention, a multi-dimensional heterogeneous data fusion unit can fuse and analyze various data such as building unit stress monitoring data and warehouse temperature monitoring data to comprehensively understand the overall status of the fully automated driving vehicle base; through the information fusion unit, the three-dimensional model and real-time monitoring data of the vehicle base can be viewed intuitively on the digital platform, realizing virtual visualization management of the facilities; through the multi-business platform fusion unit, when an abnormal situation is detected, a maintenance work order can be automatically triggered on the operation and maintenance management platform, and the emergency command platform can be notified to prepare for emergency response, realizing collaborative work between various business platforms.

[0048] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A comprehensive monitoring system for fully automated vehicle depots that integrates monitoring, inspection, and perception, characterized in that, It includes a hardware monitoring module, a network module, an algorithm module, an evaluation and judgment module, and a fusion module; The hardware monitoring module is used to monitor both inside and outside the autonomous vehicle base. The network module is used to transmit the data and information monitored by the hardware monitoring module to the algorithm module; The algorithm module is used to analyze the data and information monitored by the hardware monitoring module and transmit the analysis results to the evaluation and judgment module. The evaluation and judgment module is used to evaluate and judge based on the analysis results of the algorithm module; The fusion module is used to integrate the data and information from the hardware monitoring module, network module, algorithm module, and evaluation and judgment module.

2. The integrated monitoring system for fully automated vehicle bases based on the fusion of monitoring and inspection perception as described in claim 1, characterized in that, The hardware monitoring module includes a site monitoring unit, an external monitoring unit, and an existing monitoring unit; The site monitoring unit includes monitoring of track structure deformation, foreign object intrusion into the track area, flooding, fire, and train fault detection. The external monitoring units include weather forecast monitoring, earthquake monitoring, and GIS monitoring; The existing monitoring units include ISCS, BAS, FAS, and CCTV.

3. The integrated monitoring system for fully automated vehicle bases based on the fusion of monitoring and inspection perception as described in claim 2, characterized in that, Flood monitoring is achieved through fiber optic grating water level sensors, video cameras, and water level gauges; fire monitoring is achieved through temperature and smoke sensors; foreign object intrusion monitoring is achieved through infrared PTZ cameras; track structure deformation monitoring is achieved through fiber optic grating sensors; and train malfunction detection is achieved through inspection robots.

4. The integrated monitoring system for fully automated vehicle bases based on the fusion of monitoring and inspection perception as described in claim 3, characterized in that, The fiber Bragg grating water level sensor and fiber Bragg grating sensor transmit data to the fiber Bragg grating demodulator, where it is demodulated and then transmitted to the PoE switch. Simultaneously, the infrared PTZ camera uploads data to the NVR, which then transmits it to the PoE switch. The PoE switch continues to transmit data from both the fiber Bragg water level sensor and the infrared PTZ camera to the core switch. The video camera transmits data to the data acquisition host and then to the core switch via a wireless AP. Simultaneously, the inspection robot transmits data to the core switch via a wireless AP. The temperature sensor and smoke sensor transmit data to the core switch via the aggregation layer switch. The core switch then uploads all data from the maintenance depot and track area to the depot server.

5. The integrated monitoring system for fully automated vehicle bases based on the fusion of monitoring and inspection perception as described in claim 2, characterized in that, The external monitoring unit and the existing monitoring unit transmit data to the core switch via optical fiber, and then transmit the data to the depot server via the core switch.

6. The integrated monitoring system for fully automated vehicle bases based on the fusion of monitoring and inspection perception as described in claim 4 or 5, characterized in that, The depot server is divided into local servers and remote servers; The local server includes a central communication equipment room, a communication equipment room, a wiring closet, a data center room, a backbone fiber optic network access room, an NCC room, a dispatch hall, an NCC data communication room, and an ISCS equipment room. The remote server includes an emergency dispatch and command platform, a BIM visualization system server, a holographic perception and intelligent diagnosis system server, a China Southern Airlines algorithm server, and a knowledge base system server. The local server transmits data to the remote server through a VPN server in the NCC data center.

7. The integrated monitoring system for fully automated vehicle bases based on the fusion of monitoring and inspection perception according to any one of claims 1-5, characterized in that, The algorithm module includes functional algorithm units and general algorithm units; The functional algorithm unit includes a single measurement point alarm algorithm, a line alarm algorithm, a regional alarm algorithm, a site alarm algorithm, a multi-hazard coupling function algorithm, an emergency plan matching algorithm, a trend prediction algorithm, a disaster source tracing algorithm, a vulnerability algorithm, a health algorithm, and a quality index algorithm, which are used to perform real-time monitoring and alarms for different monitoring points and areas of the fully automated vehicle base. The general algorithm unit includes a preprocessing algorithm, a spatial interpolation algorithm, a temporal interpolation algorithm, and a hyperellipse algorithm.

8. The integrated monitoring system for fully automated vehicle bases based on the fusion of monitoring and inspection perception according to any one of claims 1-5, characterized in that, The evaluation and judgment module includes an evaluation module and a judgment module; The evaluation module includes a quality index evaluation unit, a vulnerability evaluation unit, and a health evaluation unit; the judgment module includes a comprehensive judgment unit and an early warning judgment unit; after the evaluation and judgment are completed, contingency plan matching, multi-hazard coupling, and emergency linkage are performed.

9. The integrated monitoring system for fully automated vehicle bases based on the fusion of monitoring and inspection perception according to any one of claims 1-5, characterized in that, The fusion module includes a multi-dimensional heterogeneous data fusion unit, an information fusion unit, and a multi-service platform fusion unit; The multidimensional heterogeneous data fusion unit is used to fuse data from different monitoring devices, different monitoring parameters, and different monitoring frequencies and accuracies to form a comprehensive and unified monitoring dataset. The information-physical fusion unit is used to integrate physical entities with digital information to achieve digital modeling and visual management of the vehicle base. The multi-service platform integration unit is used to integrate and coordinate multiple service platforms such as monitoring platform, operation and maintenance management platform, and emergency command platform, breaking down information silos and achieving seamless data and service integration.

10. The integrated monitoring system for fully automated vehicle bases based on the fusion of monitoring and inspection perception according to any one of claims 1-5, characterized in that, The network modules include WIFI, 5G, LoRa, 800M, fiber optic, and LAN.

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