A highway intelligent tunnel monitoring system, method, terminal and medium

Abstract

The present invention discloses a highway intelligent tunnel monitoring system, method, terminal and medium. The system includes: an end-side access layer, an edge layer and a cloud layer. The end-side access layer is used to access non-IP and IP electromechanical devices in the tunnel into the system through adapters and controllers, realizing the physical connection and instruction interaction between the devices and the system. The edge layer is used to converge, locally store and standardize multi-source data, and execute linkage strategies and provide near-field operation and maintenance support locally. The cloud layer is deployed on the group cloud platform and is used to centrally manage and deeply analyze the standardized data, and at the same time realize application distribution, version upgrade, security policy distribution and cross-system data open sharing, constructing a global control center. The present invention helps to connect the entire "end-edge-cloud" link, significantly improving the informatization and intelligence level of tunnel monitoring, and providing a replicable and popularizable solution for the construction of digital tunnels and intelligent tunnel groups.

Description

Technical Field

[0001] This invention relates to the field of tunnel monitoring technology, and in particular to a smart tunnel monitoring system, method, terminal and medium for highways. Background Technology

[0002] In recent years, with the rapid development of the expressway network and the continuous increase in the number of long tunnels, tunnel sections have become key control points for the safe operation of the road network. Tunnels are enclosed spaces with a wide variety of equipment; malfunctions or improper handling of electromechanical systems such as lighting, ventilation, and fire protection can easily lead to traffic congestion and major safety accidents. Currently, many tunnel monitoring systems still suffer from problems such as inconsistent equipment protocols, system fragmentation, and insufficient data sharing and linkage capabilities, making it difficult to support refined management and intelligent operation and maintenance.

[0003] Therefore, existing technologies still have shortcomings. Summary of the Invention

[0004] To address the aforementioned deficiencies in the prior art, this invention provides a smart tunnel monitoring system, method, terminal, and medium for highways. The technical solution adopted by this invention is as follows: In a first aspect, the present invention provides a smart tunnel monitoring system for highways, the system comprising: The end-side access layer is used to connect non-IP and IP-based electromechanical equipment in the tunnel to the system through adapters and controllers to complete the basic capability deployment and realize the physical connection and command interaction between the equipment and the system. The edge layer consists of a controller deployed in the tunnel and an integrated edge unit located in the substation. It is used to aggregate, store and standardize multi-source data collected by the end-side access layer, and execute linkage strategies and provide near-field operation and maintenance support locally. The cloud layer, deployed on the group's cloud platform, is used to receive standardized data reported from the edge layer, perform centralized management and in-depth analysis, and simultaneously realize application distribution, version upgrades, security policy distribution, and cross-system data sharing, thus building a global control hub.

[0005] In one implementation, the controller and adapter are uniformly deployed in the original PLC cabinet, serving as the field control unit to replace the original PLC. The wiring between the original electromechanical equipment and the PLC is rerouted to the terminals of the controller and adapter.

[0006] In one implementation, the system connects to a tunneled industrial Ethernet via an industrial switch to achieve hierarchical interconnection with the branch office monitoring platform and the group monitoring platform.

[0007] In one implementation, the edge layer includes: The intelligent emergency plan management module is used to classify and manage tunnel emergency plans according to scenarios, and supports the configurability of processes, control objects and delay parameters; The electromechanical IoT sensing and control module is used to intuitively present images, videos, sensor data and environmental parameters with the tunnel as the base map, to build a visible, manageable and controllable electromechanical IoT system, and to realize the issuance of electromechanical management and control commands that are exactly what you see. The remote operation and maintenance module for electromechanical equipment is used to provide integrated remote operation and maintenance capabilities for electromechanical equipment in the tunnel.

[0008] Secondly, embodiments of the present invention also provide a method for monitoring a smart tunnel on a highway based on any one of the above-described solutions, the method comprising: Non-IP and IP-based electromechanical equipment in the tunnel are connected to the system through adapters and controllers. The operating parameters of the electromechanical equipment are collected at a preset frequency to obtain multi-source data. The multi-source data is then preprocessed and standardized to obtain standardized data. Centralized management and in-depth analysis are performed based on standardized data to obtain analysis results. At the same time, visualized real-time monitoring data is obtained by monitoring the operating status of the electromechanical equipment in real time. Based on the analysis results and the real-time monitoring data, fault diagnosis and multi-level early warning are performed, and when a fault occurs or an early warning message is received, the emergency response mechanism and remote operation and maintenance mechanism are activated.

[0009] In one implementation, fault diagnosis and multi-level early warning are performed based on the analysis results and the real-time monitoring data, including: Multi-level early warning thresholds are configured for key parameters. If any operating parameter in the analysis results or the real-time monitoring data exceeds the early warning threshold, an early warning message is automatically generated. Based on the device fault model distributed from the cloud layer, the real-time monitoring data and the analysis results are combined to make a judgment and automatically identify fault information.

[0010] In one implementation, upon the occurrence of a fault or receipt of an early warning message, the emergency response mechanism and the remote operation and maintenance mechanism are linked, including: When a malfunction occurs or a warning message is received, the category corresponding to the malfunction or warning message is determined, and the corresponding emergency plan is triggered. The categories of emergency plans include: normal traffic plan, traffic accident plan, fire emergency plan, alarm and manual alarm plan, tunnel flooding plan, and power monitoring plan. It enables multiple devices to work together in a coordinated manner and tracks the progress of emergency response in real time; The faulty electromechanical equipment is restarted, and near-field maintenance personnel are dispatched to the site for handling via inspection terminals, with the handling process uploaded in real time.

[0011] In one implementation, the method further includes: Analyze remote operation and maintenance data, contingency plan execution data, and actual energy consumption data to generate operation evaluation reports; Issue fault model upgrade packages and contingency plan optimization parameters to expand the scope of fault diagnosis and multi-level early warning.

[0012] Thirdly, embodiments of the present invention also provide a terminal, wherein the terminal includes a memory, a processor, and an entity extraction and processing program stored in the memory and executable on the processor. When the processor executes the entity extraction and processing program, it implements the steps of the smart tunnel monitoring method for highways described in any of the above schemes.

[0013] Fourthly, embodiments of the present invention also provide a computer-readable storage medium, wherein an entity extraction processing program is stored on the computer-readable storage medium, and the entity extraction processing program implements the steps of the smart tunnel monitoring method for highways as described in any of the above schemes on the computer-readable storage medium.

[0014] Beneficial Effects: Compared with existing technologies, this invention provides a smart tunnel monitoring system for highways, comprising an end-side access layer, an edge layer, and a cloud layer. The end-side access layer connects non-IP and IP-based electromechanical equipment within the tunnel to the system via adapters and controllers, completing basic capability deployment and enabling physical connection and command interaction between devices and the system. The edge layer, composed of controllers deployed within the tunnel and integrated edge devices located in the substation, aggregates, stores, and standardizes multi-source data collected by the end-side access layer, and executes linkage strategies and provides near-field operation and maintenance support locally. The cloud layer, deployed on the group's cloud platform, receives standardized data reported by the edge layer, performs centralized management and in-depth analysis, and simultaneously enables application distribution, version upgrades, security policy distribution, and cross-system data sharing, constructing a global control hub.

[0015] This invention helps to connect the entire "end-edge-cloud" link, significantly improving the informatization and intelligence level of tunnel monitoring, and providing a replicable and scalable solution for building digital tunnels and smart tunnel clusters. Attached Figure Description

[0016] Figure 1 This is an architecture diagram of a smart tunnel monitoring system for highways provided in an embodiment of the present invention.

[0017] Figure 2 A flowchart of a preferred embodiment of the intelligent tunnel monitoring method for highways provided by the present invention.

[0018] Figure 3 A schematic diagram of a terminal provided in an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and effects of this invention clearer and more explicit, 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 of the invention and are not intended to limit the invention.

[0020] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content, operations, or steps, nor does it require execution in the described order. For example, some operations or steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0021] It should be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0022] It should be understood that, in order to clearly describe the technical solutions of the embodiments of the present invention, the terms "first" and "second" are used in the embodiments of the present invention to distinguish identical or similar items with essentially the same function and effect. For example, the first control information and the second control information are only used to distinguish different control information and do not limit their order.

[0023] Those skilled in the art will understand that the words "first" and "second" do not limit the quantity or the order of execution, and that the words "first" and "second" do not necessarily imply that they are different.

[0024] It should also be understood that the term “and / or” as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0025] With the continuous increase in the number and mileage of highway tunnels, problems such as the enclosed tunnel environment, complex electromechanical systems, and numerous equipment manufacturers are becoming increasingly prominent. Multiple monitoring platforms coexisting, inconsistent interfaces, poor system compatibility, and high operation and maintenance costs are common occurrences. At the same time, new-generation information technologies such as cloud computing and the Internet of Things are increasingly being integrated into tunnel operation and management, placing higher demands on the refined monitoring of tunnel operating status, intelligent linkage control, and emergency response capabilities.

[0026] In this context, it is of great significance to build a smart tunnel monitoring platform based on OpenHarmony and related cloud-edge-end integrated architectures. On the one hand, by leveraging the distributed characteristics of OpenHarmony and combining with relevant edge devices such as controllers and adapters, unified access and "visible, manageable, and controllable" IoT perception of various electromechanical devices at the tunnel end can be achieved. On the other hand, relying on relevant edge all-in-ones, super object models, and the group cloud AppStore, data aggregation, unified modeling, and application distribution are completed at the edge and the cloud, strongly supporting functions such as electromechanical joint control, remote one-key restart, intelligent emergency plan linkage, and intelligent patrol inspection.

[0027] Based on this, this embodiment provides a highway smart tunnel monitoring system. The system is oriented to the centralized monitoring and intelligent control of highway tunnel electromechanical devices, and the overall adopts a three-layer architecture of "end-edge-cloud", as Figure 1 shown, which are: the end-side access layer, the edge layer, and the cloud layer. Specifically, the end-side access layer is used to connect non-IP and IP electromechanical devices in the tunnel to the system through adapters and controllers to complete the deployment of basic capabilities, realize the physical connection and instruction interaction between the devices and the system, including real-time acquisition of the device operation status, start-stop control, and remote restart in necessary situations. The edge layer is composed of controllers deployed in the tunnel and edge all-in-ones located in the substation, and is built-in with functional components such as IOT-Edge, IOT-DA, device management, and super object models, which are used to aggregate, locally store, and standardize the multi-source data collected by the end-side access layer, and execute the linkage strategy and provide near-field operation and maintenance support locally. The cloud layer is deployed on the group cloud platform, which is used to receive the standardized data reported by the edge layer, perform centralized management and in-depth analysis, and at the same time realize application distribution, version upgrade, security policy distribution, and cross-system data open sharing, build a global control center, and thus build a tunnel intelligent control system with end-edge-cloud collaboration.

[0028] The system functions in this embodiment are built around five links: "sensing and acquisition, transmission and processing, intelligent control, operation and maintenance services, and cloud application". Specific functions include: (1) Device access and management: Supports unified access and file management of IP-based and non-IP-based devices through Jihong adapters and Jihong controllers, and completes device grouping, access control and full life cycle management. (2) Unified data model: Based on the super object model, the status, alarm and control quantities of lighting, ventilation, fire protection, traffic guidance and other equipment are standardized and modeled to provide a unified and standardized data interface for various business applications. (3) Intelligent linkage and emergency plan: According to the tunnel zoning and business scenario configuration linkage rules, the collaborative linkage control of multiple systems such as lighting, ventilation, broadcasting, and information boards is realized, and one-click triggering of emergency response plans such as fire and traffic accidents is supported. (4) Operation and maintenance monitoring and remote maintenance: Provides functions such as equipment status monitoring, fault alarm, log tracking and operation statistics, supports remote reset / restart and near-field inspection through tablet terminals, thereby effectively reducing operation and maintenance costs. (5) Cloud-based analysis and open sharing: Energy consumption analysis, operation assessment and trend analysis are carried out on the group's cloud side. Data is opened to third-party systems such as scheduling platform and maintenance system through standard interfaces to achieve data sharing and business collaboration.

[0029] Furthermore, in this embodiment, the controller and adapter are uniformly deployed within the original PLC cabinet, replacing the original PLC as the field control unit. The wiring between the original electromechanical equipment and the PLC is reconnected to the controller and adapter terminals, essentially reusing existing fiber optic cables, electrical cables, and other network communication lines. Based on this, an industrial switch is used to connect to the tunnel's industrial Ethernet network, interconnecting with the tunnel monitoring platform and the branch company's monitoring platform. To facilitate on-site debugging and maintenance, a wireless access point (AP) is configured near the control cabinet. The controller connects to the AP via a wired connection, while the maintenance terminal communicates with it via WiFi, enabling near-field status monitoring and remote maintenance.

[0030] Furthermore, the edge layer of this embodiment specifically includes: an intelligent emergency plan management module, an electromechanical IoT sensing and control module, and an electromechanical equipment remote operation and maintenance module. The intelligent emergency plan management module is used to classify and manage tunnel emergency plans according to scenarios, and supports the configurability of processes, controlled objects, and delay parameters. The electromechanical IoT sensing and control module is used to intuitively present images, videos, sensor data, and environmental parameters with the tunnel as the base map, constructing a visible, manageable, and controllable electromechanical IoT system, and realizing WYSIWYG electromechanical management and control command issuance. The electromechanical equipment remote operation and maintenance module is used to provide integrated remote operation and maintenance capabilities for electromechanical equipment within the tunnel.

[0031] This embodiment of the intelligent highway tunnel monitoring system utilizes an integrated "end-edge-cloud" architecture to organically integrate on-site tunnel electromechanical equipment, edge computing devices, and the group's cloud platform. This enables unified collection, modeling, and management of multi-source data, including traffic, lighting, ventilation, fire protection, video, and environmental monitoring. Furthermore, relying on the system's super object model and data standard system, it allows for unified access and refined management of existing equipment from different manufacturers, providing a reliable data foundation for cross-tunnel and cross-road segment dispatching and operational analysis.

[0032] Furthermore, this embodiment leverages the controller and App Store application capabilities to achieve integrated management of basic equipment information, technical data, operational history, and maintenance records, realizing closed-loop management from selecting equipment to viewing its entire lifecycle information. Combined with remote early warning, fault diagnosis models, and one-click restart functions, remote restoration of low-voltage equipment can be completed without disrupting traffic, significantly reducing on-site maintenance frequency and operating costs, and improving equipment availability and operational stability.

[0033] This system incorporates multiple types of emergency plans, including strategies for typical scenarios such as traffic accidents, fires, flooding, and power outages. It can quickly generate coordinated response procedures based on different trigger sources, including manual alarms, automatic alarms, and emergency telephone alarms. This enables one-click coordinated control of equipment such as video and audible / visual alarms, broadcasts, information boards, traffic control, lighting, ventilation, fire pumps, and roller shutters. Through the synchronized display of event location, a two-dimensional map, and video footage, it assists on-duty personnel in rapid assessment and decision-making, and provides intuitive support for emergency drills and plan optimization.

[0034] This system, relying on hardware and software decoupling capabilities and PTZ camera monitoring capabilities, can automatically perform intelligent inspection tasks such as fan trial operation and inspection of information board and lane indicator displays during low-traffic periods. It also gradually overlays fault diagnosis models to comprehensively analyze equipment operation screens and status data, identifying potential fault trends in advance. Combined with energy consumption data and environmental indicators, lighting and ventilation control strategies can be further optimized to achieve a safety-first, energy-saving operational goal.

[0035] The system in this embodiment possesses strong data aggregation and external service capabilities. It can share tunnel operating status, event information, equipment failures, and maintenance results with the road network dispatching platform, maintenance management system, and provincial traffic operation monitoring platform through a unified interface, supporting cross-departmental collaborative management and unified command and dispatch. Through the continuous accumulation of historical data and its integration with big data, cloud computing, and subsequent algorithm models, it is expected to gradually form a regional and even cross-regional intelligent tunnel group management system, providing important support for the construction of digital and intelligent tunnels. Based on a cloud-edge-device architecture, this system realizes functions such as visualized perception, centralized joint control, remote operation and maintenance, one-click emergency linkage, and intelligent inspection of tunnel electromechanical equipment. It supports multiple control modes, including fully automatic, semi-automatic, and manual modes, and can provide contingency plan strategy support under emergency conditions. It also enables daily intelligent inspection through software, thereby reducing operation and maintenance costs.

[0036] Based on the above embodiments, the present invention also provides a method for monitoring intelligent tunnels on highways, the method being implemented based on the aforementioned intelligent tunnel monitoring system for highways. In specific implementation, the intelligent tunnel monitoring method for highways of this embodiment can be applied to a terminal, the terminal including intelligent product terminals such as computers, specifically, as... Figure 2 As shown in the figure, the intelligent tunnel monitoring method for highways in this embodiment includes the following steps: Step S100: Connect the non-IP and IP-based electromechanical equipment in the tunnel to the system through adapters and controllers, collect the operating parameters of the electromechanical equipment at a preset frequency to obtain multi-source data, and perform preprocessing and standardization on the multi-source data to obtain standardized data. Step S200: Based on standardized data, perform centralized management and in-depth analysis to obtain analysis results. At the same time, by monitoring the operating status of the electromechanical equipment in real time, obtain visualized real-time monitoring data. Step S300: Based on the analysis results and the real-time monitoring data, perform fault diagnosis and multi-level early warning, and when a fault occurs or an early warning message is received, link the emergency response mechanism and the remote operation and maintenance mechanism.

[0037] Specifically, this embodiment first connects the tunnel's lighting, fans, fire pumps, traffic guidance equipment, video cameras, temperature sensors, wind speed and direction detectors, and other electromechanical equipment (IP-based or non-IP-based) to the system via adapters and controllers. It then collects equipment operating parameters (such as lamp voltage and fan speed), environmental data (such as illuminance, CO concentration, and liquid level), status signals (such as equipment online status and alarm trigger signals), and video image data at preset frequencies. The multi-source data collected at the edge layer receiving end is aggregated, filtered, or has invalid data removed using the built-in IoT-DA component. Furthermore, it performs data standardization transformation based on the super object model, such as unifying data formats and units to generate standardized data. In this embodiment, the standardized data includes status quantities, alarm quantities, and control quantities of various electromechanical devices. Some key data is stored locally and simultaneously reported to the cloud.

[0038] In this embodiment, the cloud layer receives data reported from the edge layer and can perform centralized management and in-depth analysis using a super object model database. It visually displays equipment deployment locations, operating status, environmental parameters (such as brightness and illuminance), and video feeds on the tunnel electronic map, achieving a "what you see is what you get" experience. Furthermore, the edge layer monitors the operating status of local equipment in real time and, in the event of a fault or upon receiving an early warning, activates emergency response and remote maintenance mechanisms. This embodiment supports visualization operations such as real-time preview of multiple video streams, video playback, information board status verification, and fire system parameter monitoring, and links with the monitoring room's video wall to display key images.

[0039] Specifically, this embodiment can determine the category of the fault or warning information when a fault occurs or a warning message is received, and trigger the corresponding emergency plan. The emergency plans include: normal traffic plans, traffic accident plans, fire emergency plans, alarm and manual alarm plans, tunnel flooding plans, and power monitoring plans. Then, multiple devices are coordinated to work together, and the progress of emergency response is tracked in real time. Furthermore, faulty electromechanical equipment is restarted, and near-field maintenance personnel are dispatched to the site for handling via inspection terminals, with the handling process uploaded in real time. This embodiment also analyzes remote maintenance data, plan execution data, and actual energy consumption data to generate an operational evaluation report; and issues fault model upgrade packages and plan optimization parameters, thereby expanding the scope of fault diagnosis and multi-level warnings.

[0040] In practical applications, this embodiment can categorize various contingency plans according to the characteristics of tunnel operation, including normal traffic contingency plans, traffic accident contingency plans, fire emergency plans, alarm and manual alarm plans, tunnel flooding contingency plans, and power monitoring contingency plans. Normal traffic contingency plans focus on standardizing the handling procedures for events such as abnormal parking, pedestrian intrusion, and large debris spills; traffic accident contingency plans are systematically arranged around accident discovery, video linkage, traffic diversion, and on-site personnel evacuation; tunnel flooding and winter road icing scenarios are currently mainly used as drill contingency plans, and interfaces are reserved for future integration of water immersion detection equipment. The processes, control logic, and threshold parameters of all types of contingency plans can be flexibly configured and dynamically adjusted in the management interface.

[0041] The fire emergency plan has a built-in, comprehensive one-click linkage response process, which includes: automatically calculating the start-up, shutdown, and steering control schemes of the fans based on wind speed and direction detection values; linking the traffic lights at both ends of the tunnel and upstream of the fire source to switch to red lights to prohibit vehicles from entering or continuing to pass; broadcasting "Fire accident, no passage" and other prompts through variable message signs; linking the tunnel broadcast system to play evacuation instructions by zone, guiding personnel and vehicles to evacuate to non-fire tunnels via upstream pedestrian and vehicular cross passages; and automatically controlling the roller shutter doors and lighting of the vehicular cross passages to achieve the linkage control logic of "lights on when doors are open, lights off when doors are closed".

[0042] This embodiment supports configuring corresponding linkage control strategies for different alarm sources, such as manual alarms, automatic alarms, and emergency telephone alarms. The linkage scope covers equipment such as video surveillance, audible and visual alarms, guidance broadcasts, traffic control, lighting, ventilation, fire protection, water pumps, and roller shutters. Lighting linkage ensures that emergency lighting operates at full capacity while implementing energy-saving control logic of "lights on when a vehicle approaches, lights off when a vehicle leaves." Ventilation linkage intelligently calculates the start / stop status and operating direction of the fans based on parameters such as CO concentration, visibility, wind speed, and wind direction, and incorporates constraint strategies such as "start / stop intervals, prohibition of immediate reverse rotation, and off-peak start-up" to avoid impacting the power supply and distribution system. Fire protection linkage combines the water pump operating status and liquid level signal for comprehensive control to prevent the water pump from running dry or operating without water.

[0043] Once events such as fires, traffic accidents, tunnel flooding, and power outages are confirmed, on-duty personnel can trigger the corresponding emergency response plan through a "one-click response." The system automatically completes the coordinated control of various subsystems and summarizes alarm information, manual operation records, and equipment status changes in real time to the integrated information management interface for process tracking and post-event tracing. Any manual intervention or parameter adjustments that occur during the execution of the plan will be automatically recorded and a new version of the plan will be generated, providing a basis for subsequent plan optimization and emergency drills.

[0044] This embodiment uses the tunnel electronic map as a unified operation interface to build a "visible, manageable, and controllable" electromechanical IoT system. Monitoring personnel can access the system locally at the tunnel management office and road section center, and intuitively present images, videos, sensor data and environmental parameters with the tunnel as the base map, realizing "what you see is what you get" electromechanical management and control command issuance, specifically including the following: (1) Electromechanical joint control: traffic lights, lane indicators, cross passage gates, etc. are displayed on the electronic map in the form of icons, and the equipment addition, deletion and change and light status information are refreshed in real time. It supports single-point click operation and batch switching and status switching of selected areas, and can implement classified batch control according to equipment type. (2) Information board guidance information: centrally display the current operating status, display content and associated camera screen of the information board, support manual editing or quick selection of guidance information from the information database, automatically adapt to the layout and color layout of different specifications of information boards, and realize the group control of multiple information boards with one issuance, and verify and record the release effect through the PTZ camera screen. (3) Fire alarm integration: Connects to the fire alarm system, and can configure temperature and linear temperature sensing alarm thresholds. When the temperature in the specified section continues to rise abnormally or the system fails, an alarm window will automatically pop up and provide audio and visual prompts. At the same time, alarm information and equipment status logs will be recorded. (4) Video surveillance integration: Displays the deployment location and operating status of each camera in the tunnel electronic map. Supports multi-channel real-time preview and playback of video recordings within one week. It can also be linked to the video wall in the tunnel monitoring room to realize the rapid display of images in key areas. (5) Emergency broadcast integration: Unifies the management of the location, status and fault information of emergency broadcast equipment. Supports on-site voice broadcasting and selection of template content from the voice library for broadcasting. Gradually forms a broadcast information library corresponding to scenarios such as traffic control, maintenance construction, severe weather, accidents, and fires. (6) Lighting control integration: Connects to the lighting control system, queries the power supply and distribution and operating status of lamps in real time, implements switching and dimming control by circuit, and displays the brightness and illuminance levels of each section in combination with the brightness detector data to achieve a balance between operational needs and energy-saving control. (7) Fire control integration: Access key monitoring parameters such as fire pump, pressure, and liquid level, and display the operating status of the fire system in real time; when the liquid level exceeds the limit, it will automatically remind you to start or stop the fire pump, and supports the configuration of upper and lower limit thresholds to realize closed-loop regulation and safety control of fire water level.

[0045] When performing remote operation and maintenance on electromechanical equipment, this embodiment can provide integrated remote operation and maintenance capabilities for a large number of weak-voltage electromechanical equipment in the tunnel. Specifically, the system includes the following functions: (1) Early warning management: Supports configuring multi-level early warning thresholds for key operating parameters. When real-time data exceeds the limit, an early warning message is automatically generated to remind the on-duty personnel to review the on-site situation in a timely manner. (2) Fault diagnosis: Based on the equipment fault model, multi-source monitoring parameters are combined and judged to realize the automatic identification of common faults. The fault model can be continuously distributed and upgraded through the group cloud AppStore to gradually expand the diagnostic scope and improve the diagnostic accuracy.

[0046] (3) Remote one-click restart: When weak electrical equipment such as lane indicators and information boards have no response or abnormal display, the power-off and power-on operation can be performed remotely to achieve one-click restart of the equipment, reduce the number of on-site personnel visits, and shorten the equipment downtime.

[0047] In practical applications, this embodiment can configure a unified linkage strategy based on different sources such as manual alarms, automatic alarms, and emergency telephone alarms to implement coordinated control of equipment such as video surveillance, audible and visual alarms, guidance broadcasts, traffic guidance, lighting, fans, fire pumps, and roller shutters. After an alarm is triggered, the system automatically links the front and rear cameras of the corresponding zone to display them centrally on the large screen, and drives the audible and visual alarm in the monitoring room to remind the on-duty personnel to confirm. After confirmation, according to the pre-plan, broadcast instructions are issued in the corresponding zone, the information on the information boards and the status of lane indicators are adjusted, emergency lighting and evacuation indicators are turned on, and the system intelligently prompts or links the operation of fans and fire pumps based on parameters such as CO, VI, wind speed and direction, and water level, in conjunction with the action of roller shutters, to achieve the diversion and evacuation of personnel and vehicles, smoke and water isolation, and fire control.

[0048] In other implementations, this embodiment can also utilize the system's hardware and software decoupling capabilities to combine the basic control capabilities of equipment such as wind turbines, information boards, and lane indicators with the newly added PTZ camera monitoring to build experimental smart patrol applications, such as: (1) Wind turbine group trial operation: When the traffic flow is low at night, the system automatically runs the wind turbine group in batches according to the preset configuration. The PTZ camera collects the wind turbine operation images at regular intervals and combines them with the equipment feedback data to provide a basis for wind turbine operation status analysis and life assessment. (2) Information board information verification: The controller performs periodic verification of the information board display content. When a new instruction is received or a display change is detected, the PTZ camera captures the image to assist the monitoring personnel in verifying the published content. Subsequently, an AI recognition model can be superimposed to automatically detect and handle prohibited information. (3) Lane indicator inspection: The lane indicator display images are collected at regular intervals according to the inspection plan to check the display integrity and brightness. In the future, an AI diagnostic model can be combined to realize automatic identification and early warning of faults such as insufficient brightness and missing characters.

[0049] This invention addresses the operational and maintenance needs of smart tunnels on highways, designing and constructing a smart tunnel monitoring platform based on the open-source HarmonyOS and a cloud-edge-device integrated architecture. It presents the overall design scheme for the system architecture, functional system, and intelligent emergency response plan management. Based on a unified data foundation, the system realizes functions such as electromechanical IoT sensing and control, remote equipment operation and maintenance (one-click restart), one-click linkage of emergency plans, and intelligent inspection. This enables tunnel traffic status, equipment status, and emergencies to be presented intuitively, promptly, and effectively, facilitating their handling at the tunnel management office and road section center.

[0050] The application of this invention helps improve the informatization, refinement, and intelligence level of tunnel operation and management, reduces electromechanical maintenance costs, and enhances the efficiency of emergency response, which is of positive significance for promoting the construction of "digital tunnels and smart tunnels" on highways. With the continuous enrichment of front-end sensing devices and the in-depth application of big data, cloud computing, and artificial intelligence technologies in the field of transportation infrastructure, the technical route and data system based on this system are expected to be further expanded to form a multi-tunnel, cross-section, and even regional-level smart tunnel group monitoring and collaborative management platform.

[0051] Based on the above embodiments, the present invention also provides a terminal, the principle block diagram of which can be as follows: Figure 3 As shown. The terminal may include one or more processors 100 ( Figure 3 (Only one is shown in the image), memory 101, and computer program 102 stored in memory 101 and executable on one or more processors 100. For example, an entity extraction processing program. When one or more processors 100 execute computer program 102, they can implement various steps in the embodiment of the smart highway tunnel monitoring method. Alternatively, when one or more processors 100 execute computer program 102, they can implement the functions of various modules / units in the embodiment of the smart highway tunnel monitoring system, without limitation here.

[0052] In one embodiment, the processor 100 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0053] In one embodiment, memory 101 may be an internal storage unit of an electronic device, such as a hard drive or RAM. Memory 101 may also be an external storage device of the electronic device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital Card (SD), or Flash Card. Furthermore, memory 101 may include both internal and external storage units. Memory 101 is used to store computer programs and other programs and data required by the terminal. Memory 101 can also be used to temporarily store data that has been output or will be output.

[0054] Those skilled in the art will understand that Figure 3 The block diagram shown is merely a partial structural diagram related to the present invention and does not constitute a limitation on the terminal to which the present invention is applied. A specific terminal may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0055] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), direct memory bus RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0056] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A highway intelligent tunnel monitoring system, characterized in that, The system includes: The end-side access layer is used to connect non-IP and IP-based electromechanical equipment in the tunnel to the system through adapters and controllers to complete the basic capability deployment and realize the physical connection and command interaction between the equipment and the system. The edge layer consists of a controller deployed in the tunnel and an integrated edge unit located in the substation. It is used to aggregate, store and standardize multi-source data collected by the end-side access layer, and execute linkage strategies and provide near-field operation and maintenance support locally. The cloud layer, deployed on the group's cloud platform, is used to receive standardized data reported from the edge layer, perform centralized management and in-depth analysis, and simultaneously realize application distribution, version upgrades, security policy distribution, and cross-system data sharing, thus building a global control hub. 2.The intelligent highway tunnel monitoring system according to claim 1, characterized in that, The controller and adapter are uniformly deployed in the original PLC cabinet to replace the original PLC as the field control unit. The wiring of the original electromechanical equipment and PLC is changed to the terminals of the controller and adapter. 3.The intelligent highway tunnel monitoring system according to claim 1, characterized in that, The system connects to the tunnel industrial Ethernet via an industrial switch, enabling hierarchical interconnection with the branch office monitoring platform and the group monitoring platform. 4.The intelligent highway tunnel monitoring system of claim 1, wherein, The edge layer includes: The intelligent emergency plan management module is used to classify and manage tunnel emergency plans according to scenarios, and supports the configurability of processes, control objects and delay parameters; The electromechanical IoT sensing and control module is used to intuitively present images, videos, sensor data and environmental parameters with the tunnel as the base map, to build a visible, manageable and controllable electromechanical IoT system, and to realize the issuance of electromechanical management and control commands that are exactly what you see. The remote operation and maintenance module for electromechanical equipment is used to provide integrated remote operation and maintenance capabilities for electromechanical equipment in the tunnel.

5. A highway intelligent tunnel monitoring method based on the highway intelligent tunnel monitoring system according to any one of claims 1-4, characterized in that, The method includes: Non-IP and IP-based electromechanical equipment in the tunnel are connected to the system through adapters and controllers. The operating parameters of the electromechanical equipment are collected at a preset frequency to obtain multi-source data. The multi-source data is then preprocessed and standardized to obtain standardized data. Centralized management and in-depth analysis are performed based on standardized data to obtain analysis results. At the same time, visualized real-time monitoring data is obtained by monitoring the operating status of the electromechanical equipment in real time. Based on the analysis results and the real-time monitoring data, fault diagnosis and multi-level early warning are performed, and when a fault occurs or an early warning message is received, the emergency response mechanism and remote operation and maintenance mechanism are activated. 6.The highway intelligent tunnel monitoring method according to claim 5, characterized in that, Based on the analysis results and the real-time monitoring data, fault diagnosis and multi-level early warning are performed, including: Multi-level early warning thresholds are configured for key parameters. If any operating parameter in the analysis results or the real-time monitoring data exceeds the early warning threshold, an early warning message is automatically generated. Based on the device fault model distributed from the cloud layer, the real-time monitoring data and the analysis results are combined to make a judgment and automatically identify fault information. 7.The highway intelligent tunnel monitoring method according to claim 6, characterized in that, In the event of a malfunction or upon receiving an early warning, the emergency response plan and remote operation and maintenance mechanisms will be activated, including: When a malfunction occurs or a warning message is received, the category corresponding to the malfunction or warning message is determined, and the corresponding emergency plan is triggered. The categories of emergency plans include: normal traffic plan, traffic accident plan, fire emergency plan, alarm and manual alarm plan, tunnel flooding plan, and power monitoring plan. It enables multiple devices to work together in a coordinated manner and tracks the progress of emergency response in real time; The faulty electromechanical equipment is restarted, and near-field maintenance personnel are dispatched to the site for handling via inspection terminals, with the handling process uploaded in real time. 8.The highway intelligent tunnel monitoring method of claim 7, wherein, The method further includes: Analyze remote operation and maintenance data, contingency plan execution data, and actual energy consumption data to generate operation evaluation reports; Issue fault model upgrade packages and contingency plan optimization parameters to expand the scope of fault diagnosis and multi-level early warning.

9. A terminal, characterized by comprising: The terminal includes a memory, a processor, and a smart highway tunnel monitoring program stored in the memory and executable on the processor. When the processor executes the smart highway tunnel monitoring program, it implements the steps of the smart highway tunnel monitoring method as described in any one of claims 5-8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a smart highway tunnel monitoring program, which implements the steps of the smart highway tunnel monitoring method as described in any one of claims 5-8 on the computer-readable storage medium.

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