Tunnel scene-oriented vehicle-tunnel collaborative innovation mode and safety operation and maintenance management and control system and method thereof

Abstract

The invention relates to a tunnel scene-oriented vehicle-tunnel collaborative innovation mode and a safety operation and maintenance management and control system and method thereof. The system comprises a vehicle-tunnel collaborative subsystem, a tunnel safety operation and maintenance and intelligent disaster prevention subsystem and a vehicle-tunnel digital base. The vehicle-tunnel cooperation subsystem is composed of an intelligent vehicle and an intelligent tunnel side subsystem, multi-source sensing fusion, road condition prediction and cooperative decision making are achieved, and a low-delay vehicle-tunnel integrated data flow is provided for the vehicle-tunnel digital base. The tunnel safety operation and maintenance and intelligent disaster prevention subsystem collects the operation state and environment data of electromechanical equipment and uploads the operation state and environment data to the vehicle tunnel digital base. The vehicle and tunnel digital base carries out unified processing, analysis and decision making on vehicle and tunnel data based on a full space-time digital twinborn model and an artificial intelligence algorithm, distributes road resources for an automatic driving vehicle and issues an electromechanical equipment control instruction. According to the system, tunnel traffic safety is improved, operation and maintenance difficulty and cost are reduced, and safe operation and intelligent management of the whole life cycle of the tunnel are supported.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automatic driving car operation and intelligent tunnel operation and maintenance, in particular to a car-tunnel collaborative innovation mode for tunnel scenarios and a safe operation management and control system and method thereof. BACKGROUND

[0002] With the continuous expansion of tunnel construction scale in China, the problems faced by tunnels in the operation and maintenance stage are increasingly prominent. First, tunnel safety accidents occur frequently, among which poor tunnel light environment and human errors (such as fatigue driving, drunk driving, etc.) are the two main reasons. The tunnel interior space is narrow and relatively closed, with limited lighting conditions and dark light, which limits the driver's vision and makes the driving environment worse, which is not conducive to manual driving. Once an emergency occurs, the driver often has difficulty in responding in time. Second, the operation and maintenance cost of the tunnel is high. The tunnel needs to maintain the normal operation of ventilation equipment and lighting equipment all day and all night, which is energy-consuming and has high carbon emissions, which brings a huge economic burden to the normal operation and maintenance of the tunnel.

[0003] On the other hand, with the continuous improvement of technology, the popularity rate of intelligent networked vehicles in China is increasing. Intelligent networked vehicles can realize real-time information exchange between the vehicle and the outside through wireless communication technology with other networked vehicles, public infrastructure, and transportation systems, and have high automation and intelligence levels, and have the possibility of realizing automatic driving.

[0004] For example, the invention with publication number CN112885100A discloses a highway tunnel operation control system, which includes an intelligent tunnel operation control platform, a comprehensive monitoring system, an emergency coordination command system, a data analysis and auxiliary decision-making system, a communication system, and a platform management system; realizes local real-time processing and timely dynamic control of intelligent tunnel operation. However, this operation control system is only used for road condition detection and cannot be used for collaborative operation with networked vehicles, and cannot effectively ensure the safe operation of the tunnel.

[0005] Therefore, it is necessary to study the tunnel car-tunnel collaborative mode and safe operation control technology, taking the tunnel as the main body, and taking safety, energy saving, comfort, and beauty as the tunnel operation goals, integrating automatic driving, wireless communication, environmental perception, data fusion, and tunnel ventilation, smoke exhaust, lighting, and other technologies and methods, to solve the current problems of frequent safety accidents and high operation and maintenance costs in the tunnel operation and maintenance stage, which has great significance for the construction of intelligent tunnels and the high-quality development of tunnel engineering. SUMMARY

[0006] The present application aims to overcome the defects of high risk of manually driven vehicles passing through tunnels, high difficulty and cost of tunnel operation and maintenance, and proposes a car-tunnel collaborative innovation mode for tunnel scenarios and a safe operation management and control system and method thereof.

[0007] To achieve the above object, the present application provides the following technical scheme:

[0008] The scheme provides a vehicle-tunnel collaborative innovation mode for a tunnel scene and a safe operation management and control system thereof, and the system is used for multi-source information perception and intelligent operation management and control of the tunnel automatic driving scene, and is characterized in that the system comprises a vehicle-tunnel collaborative subsystem, a tunnel safety operation and intelligent disaster prevention subsystem and a vehicle-tunnel digital base.

[0009] The vehicle-tunnel collaborative subsystem comprises:

[0010] The intelligent vehicle subsystem comprises an automated intelligent connected vehicle, which is configured with a multi-modal local perception component, is used for real-time perception and multi-dimensional collection of vehicle state information and surrounding environment information, and transmits vehicle state data to the intelligent tunnel side subsystem in a low time delay through C-V2X communication.

[0011] The intelligent tunnel side subsystem has a global fusion perception module and an edge computing unit, is used for multi-source real-time collection of tunnel traffic information, road condition information and light environment data, and transmits the collected and received vehicle data to the vehicle-tunnel digital base after edge computing processing; and simultaneously receives driving guidance instructions or control instructions from the vehicle-tunnel digital base and sends them to the intelligent vehicle subsystem.

[0012] The intelligent vehicle subsystem and the intelligent tunnel side subsystem form a vehicle-tunnel information collaborative network through C-V2X wireless communication and a fiber backbone network, provide structured and low-latency vehicle-tunnel integrated data flow for the vehicle-tunnel digital base in a multi-source perception fusion, dynamic road condition prediction and collaborative decision manner, and thus support tunnel automatic driving strategy formulation and emergency safety control.

[0013] The tunnel safety operation and intelligent disaster prevention subsystem acquires state monitoring data of tunnel mechanical and electrical equipment and environmental data in the tunnel, transmits them to the vehicle-tunnel digital base, and sends control instructions to the mechanical and electrical equipment according to the decision of the vehicle-tunnel digital base, so as to realize early warning, linkage prevention and control and energy-saving scheduling of disasters.

[0014] The vehicle-tunnel digital base performs unified processing, expression, analysis and decision on the received vehicle and tunnel data based on a tunnel full-time-space digital twin model and an artificial intelligence decision engine, allocates road resources for the intelligent connected vehicle and formulates an optimized automatic driving strategy, generates fine control instructions for mechanical and electrical facilities in the tunnel according to the operation state of the tunnel.

[0015] Further, the intelligent connected vehicle comprises an integrated multi-modal local perception module, a high-reliability vehicle-mounted communication module and a redundant control module.

[0016] The multi-modal local perception module includes a laser radar, a millimeter wave radar, a high-definition camera, and an inertial navigation unit, for centimeter-level vehicle positioning and all-around environment perception; the communication module is configured with a C-V2X on-board unit OBU conforming to the 3GPP standard, for low-latency transmission of perception data to the intelligent tunnel-side subsystem, and receiving driving instructions issued by the vehicle-tunnel digital base; the control module is provided with double-redundancy electronic control units ECU, for controlling the intelligent connected vehicle driving according to the driving instructions.

[0017] Further, the intelligent tunnel-side subsystem includes a global multi-source perception module, an edge computing node, and a high-bandwidth optical fiber communication link;

[0018] The global multi-source perception module uses multi-modal fusion technology to collect and fuse tunnel traffic and road condition information in real time; the edge computing node is used for local rapid preprocessing and initial judgment of abnormal events; the high-bandwidth optical fiber communication link is composed of a road-side unit RSU and an optical fiber cable, for millisecond-level data interaction between the intelligent tunnel-side subsystem and the vehicle-tunnel digital base;

[0019] The road-side unit exchanges information with the intelligent connected vehicle through C-V2X communication technology, receives vehicle state information provided by the intelligent connected vehicle, and issues driving instructions to it; the optical fiber cable is used for communication between the intelligent tunnel-side subsystem and the vehicle-tunnel digital base.

[0020] Further, the tunnel safety operation and intelligent disaster prevention subsystem includes a high-efficiency energy-saving ventilation module based on a high-pressure pipeline, a smoke exhaust module based on an active suction-exhaust type smoke exhaust port, and an illumination module based on adaptive brightness adjustment, the tunnel ventilation module uses a high-pressure pipeline for tunnel ventilation, and its ventilation process includes:

[0021] A ventilation section is provided in the tunnel, the tunnel ventilation module is arranged in the section, and low-energy-consumption air replacement is performed through pressure regulation and negative ion purification technology;

[0022] The intelligent connected vehicle is in an automatic driving state in the tunnel, when the vehicle is in a non-ventilation section, the vehicle air conditioning system is set to an internal circulation mode; when the vehicle is in a ventilation section, the vehicle air conditioning system is switched to an external circulation mode.

[0023] Further, the tunnel ventilation module further includes an axial flow fan and a jet flow fan arranged in the tunnel, which are started to ventilate and exhaust smoke when an emergency occurs in the tunnel.

[0024] Further, the tunnel smoke exhaust module comprises a positive suction exhaust smoke outlet, and the working process comprises: when a fire occurs in the tunnel, the positive suction exhaust smoke outlet sucks smoke into the smoke exhaust duct through a fire dynamic positioning and suction-exhaust linkage mechanism to perform directional smoke exhaust; under normal conditions, the high-pressure pipeline introduces a certain proportion of fresh air into the smoke exhaust duct, and provides auxiliary air supply to the tunnel space through the exhaust pipe outlet.

[0025] Further, the tunnel lighting module can automatically adjust the lighting intensity according to the brightness requirement of the vehicle-mounted sensor, and is provided with a reflective induction unit to meet the identification requirement of the vehicle-mounted sensor and reduce energy consumption; the tunnel lighting module further comprises an emergency lighting unit for providing lighting when an emergency occurs in the tunnel.

[0026] Further, the vehicle-tunnel digital base adopts a full-time-space digital twin model based on multi-source big data driving, and combines artificial intelligence prediction and adaptive control algorithm to monitor the whole life cycle of the tunnel state, deduce disaster scenarios and optimize dynamic strategies, and uniformly processes, expresses, analyzes and decides the received vehicle and tunnel data.

[0027] The scheme also provides a system safety operation method based on the vehicle-tunnel collaborative innovation mode and the safety operation management and control system, wherein the intelligent connected vehicle is in an automatic driving state in the tunnel, and the tunnel passing method of the intelligent connected vehicle comprises the following steps:

[0028] The intelligent connected vehicle perceives and collects vehicle state information and vehicle surrounding environment information, and transmits the collected data to the intelligent tunnel side subsystem through C-V2X communication;

[0029] The intelligent tunnel side subsystem collects traffic information and road condition information in the tunnel, and transmits the collected tunnel data and the data collected by the vehicle to the vehicle-tunnel digital base after fusion processing;

[0030] The vehicle-tunnel digital base uniformly processes, expresses, analyzes and decides the received vehicle and tunnel data, allocates road resources for the intelligent connected vehicle and formulates an optimized automatic driving strategy, and transmits driving guidance instructions or control instructions to the intelligent tunnel side subsystem;

[0031] The intelligent tunnel side subsystem sends driving instructions to the intelligent connected vehicle to realize automatic driving of the intelligent connected vehicle.

[0032] Further, the tunnel operation method comprises the following steps:

[0033] The tunnel safety operation and intelligent disaster prevention subsystem collects operation state data of tunnel mechanical and electrical equipment and environment data in the tunnel, and uploads the data to the vehicle-tunnel digital base, and performs real-time screening on key environmental parameters and researches and judges the tunnel operation state through an artificial intelligence algorithm;

[0034] If the tunnel is in normal operation, the optimal electromechanical equipment control instruction is generated aiming at safety and energy saving;

[0035] If the tunnel has an emergency, the disaster is located, the signal control is taken over and the instruction is issued at multiple ends, the tunnel electromechanical facilities are controlled to ventilate, smoke and enable emergency lighting, and the evacuation instruction is generated for the vehicles in the tunnel.

[0036] Compared with the prior art, the present application has the following advantages:

[0037] (1) In the present scheme, the fusion data of vehicle information collection and tunnel information collection provides driving planning for intelligent networked vehicles, realizing automatic driving of vehicles in the tunnel. Compared with existing manual driving through the tunnel, automatic driving has lower requirements for tunnel operation conditions, so that operation strategies can be formulated in normal operation to ensure safety and reduce costs; and ventilation, smoke exhaust and vehicle evacuation can be implemented in time when an emergency occurs. Based on the automatic driving tunnel operation mode, the operation state of the tunnel electromechanical equipment can be further optimized, and the difficulty and cost of tunnel operation and maintenance can be reduced.

[0038] (2) The present scheme proposes a brand new tunnel passing mode and operation mode, providing an integrated solution for safe and efficient passing of vehicles in the tunnel and economic and energy-saving operation of the tunnel. It is not a simple superposition of existing methods, technologies, software, etc., but a new generation of tunnel intelligent transportation system with the functions of perception, prediction, decision-making, control and optimization, which integrates deep data fusion, technology integration innovation, intelligent terminal research and development, etc., aiming at safety, energy saving, comfort and beauty.

[0039] (3) The present scheme aims to solve the problems of frequent tunnel safety accidents and high operation and maintenance costs. On the one hand, automatic driving technology avoids human errors such as fatigue driving and drunk driving, and is not affected by poor light environment and poor driving environment in the tunnel, thereby improving the safety of tunnel passing; on the other hand, automatic driving technology can effectively reduce the ventilation and lighting requirements in the tunnel, thereby reducing the tunnel operation and maintenance costs.

[0040] (4) The present scheme aims to break down the information barrier between the tunnel and the vehicle, and realizes the information interaction and sharing between the vehicle and the tunnel system through the integrated mode of vehicle-tunnel collaborative perception, vehicle-tunnel collaborative prediction and decision-making, and vehicle-tunnel collaborative control. For intelligent networked vehicles, the automatic driving strategy is formulated based on the local information around the vehicle and the overall road condition information of the tunnel, thereby improving the safety, rationality and efficiency of the driving strategy; for the tunnel system, the available data includes local environmental data around the vehicle and overall environmental data of the tunnel, making the perception and monitoring of the overall tunnel more comprehensive, and enabling more accurate deduction and prediction of the development trend of the tunnel, and the information interaction of the two plays a complementary role. Attached Figure Description

[0041] Figure 1 A schematic diagram of the logical structure of the vehicle-tunnel collaborative innovation model for tunnel scenarios and its safety operation and maintenance management system and method provided by the present invention;

[0042] Figure 2 This invention provides an architecture diagram of a vehicle-tunnel collaborative innovation model for tunnel scenarios and its safety operation and maintenance management system and method. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0044] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0045] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0046] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the product of this invention is usually placed during use. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0047] It should be noted that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0048] In addition, the terms "horizontal," "vertical," and the like are not intended to indicate absolute horizontal or vertical orientations, but rather can be slightly inclined. For example, "horizontal" merely means more horizontal than "vertical," and does not require the structure to be perfectly horizontal, but rather can be slightly inclined.

[0049] Embodiment 1

[0050] As shown in Figure 1 and Figure 2 To solve the above-mentioned related problems and promote the construction of intelligent tunnels, the embodiment proposes a vehicle-tunnel collaborative innovation mode for tunnel scenarios and a safety operation management and control system and method thereof. The system is composed of three parts: a vehicle-tunnel collaborative subsystem, a vehicle-tunnel digital base, and a tunnel safety operation and intelligent disaster prevention subsystem, aiming at the passing mode of autonomous vehicles in tunnels and the operation mode of tunnels in the context of autonomous driving.

[0051] In the embodiment, the vehicle-tunnel collaborative subsystem includes an intelligent vehicle subsystem and an intelligent tunnel side subsystem, which use C-V2X communication technology for information interaction.

[0052] The intelligent vehicle subsystem actively collects vehicle state information such as driving speed, driving direction, and surrounding vehicle distance, and transmits the data to the intelligent tunnel side subsystem. The intelligent tunnel side subsystem actively collects global traffic information such as tunnel geometric parameters, lighting environment inside the tunnel, road conditions, vehicle flow density, and vehicle flow speed, and receives local vehicle information provided by the intelligent vehicle subsystem.

[0053] The intelligent tunnel side subsystem is connected to the vehicle-tunnel digital base through an optical fiber, and transmits all the above information data to the vehicle-tunnel digital base. The vehicle-tunnel digital base performs unified processing, expression, analysis, and decision-making of the data, and generates driving guidance instructions or control instructions. The driving instructions are issued by the intelligent tunnel side subsystem to the intelligent vehicle subsystem, guiding the vehicle to complete the passage according to the planned route and speed.

[0054] In this embodiment, the intelligent vehicle subsystem is composed of a highly automated or fully automated intelligent connected vehicle, which contains an integrated multi-modal local perception module, a high-reliability vehicle-mounted communication module, and a redundant control module. The integrated multi-modal local perception module is composed of vehicle-mounted sensors such as laser radar, millimeter wave radar, and high-definition camera, and uses technologies such as laser ranging, radar positioning, and computer vision to perceive and collect vehicle state information and vehicle surrounding environment information. The high-reliability vehicle-mounted communication module deploys an on-board unit (OBU) to realize the interaction of multi-end information such as vehicle-to-vehicle and vehicle-to-infrastructure through C-V2X communication technology, uploads the data collected by the perception module to the intelligent tunnel side subsystem, and receives driving instructions. The redundant control module deploys an electronic control unit (ECU) to send driving instructions to driving systems such as the engine and electric power steering, enabling the vehicle to travel according to the predetermined trajectory and speed, and fully improving the safety and efficiency of autonomous driving.

[0055] In this embodiment, the intelligent tunnel side subsystem includes a global multi-source perception module, an edge computing node, and a high-bandwidth fiber communication link.

[0056] The global multi-source perception module uses multi-modal fusion technology of radar positioning, infrared imaging, high-definition video, and environmental sensors to collect overall traffic data and road condition information data for vehicle identification, position monitoring, and driving trajectory tracking within the tunnel; the edge computing node is used for local fast preprocessing and initial judgment of abnormal events; and the high-bandwidth fiber communication link is used for millisecond-level data interaction between the intelligent tunnel side subsystem and the vehicle-tunnel digital base.

[0057] The high-bandwidth fiber communication link is composed of a road-side unit (RSU) and a fiber cable, where the RSU interacts with the intelligent connected vehicle through C-V2X communication technology, receives vehicle state information provided by the intelligent connected vehicle, and issues driving instructions to it. The fiber cable is used for communication between the intelligent tunnel side subsystem and the vehicle-tunnel digital base, and all data collected and received by the intelligent tunnel side subsystem are transmitted to the vehicle-tunnel digital base through the fiber cable, which performs unified processing, expression, analysis, and decision-making on the data, and generates driving guidance instructions or control instructions. The instructions are transmitted back to the intelligent tunnel side subsystem through the fiber cable, and are issued to the intelligent connected vehicle by the high-bandwidth fiber communication link therein.

[0058] In a preferred embodiment, the tunnel safety operation and intelligent disaster prevention subsystem includes three parts: a high-efficiency energy-saving ventilation module based on a high-pressure pipeline, a smoke exhaust module based on an active suction and exhaust smoke outlet, and an illumination module based on adaptive brightness adjustment. The tunnel safety operation and intelligent disaster prevention subsystem is connected to the vehicle-tunnel digital base through an optical fiber cable, uploads the state monitoring data of tunnel electromechanical equipment and tunnel environmental data (such as wind speed and temperature) to the vehicle-tunnel digital base, and generates optimized electromechanical equipment control instructions (such as the opening and closing of ventilation equipment and the brightness of illumination equipment) through unified data processing, expression, analysis and decision-making by the vehicle-tunnel digital base, thereby reducing the operation and maintenance cost of the tunnel under the background of automatic driving.

[0059] The high-efficiency energy-saving ventilation module based on a high-pressure pipeline uses a high-pressure pipeline for tunnel ventilation to reduce the energy consumption of tunnel ventilation. Under the background of automatic driving, the air conditioning system of an intelligent networked vehicle adopts an internal circulation mode and basically does not need to introduce air from the outside, so the air quality inside the tunnel can be appropriately reduced, thereby reducing the energy consumption of ventilation.

[0060] In this embodiment, a tunnel ventilation section is provided, and the intelligent networked vehicle only switches to external circulation in the ventilation section for a short time to improve the air quality inside the vehicle, and adopts the internal circulation mode at other times to isolate from the outside.

[0061] Fresh air is sucked in from the entrance of the tunnel through a high-pressure pipeline, transmitted to the tunnel ventilation section through a pressurizing device, and released through a pressure valve to ensure the air circulation in the ventilation section. Negative ion air purification technology is used to adsorb harmful gases and dust and other impurities in the tunnel and purify the air.

[0062] It is worth noting that axial flow fans and jet fans are still provided in the tunnel and are only started in emergency situations such as fire to ensure the control of smoke in the tunnel in emergency situations and ensure the safe escape of trapped personnel.

[0063] In this embodiment, the tunnel smoke exhaust module uses an active suction and exhaust smoke outlet to assist the high-pressure pipeline in air supply under normal operating conditions: a smoke outlet is provided in the tunnel ventilation section, a certain proportion of fresh air is introduced into the smoke exhaust duct through the high-pressure pipeline, and the air is then introduced into the tunnel through the communication air outlet connected to the tunnel space to supplement the air in the rest of the tunnel, which can effectively reduce the energy consumption of ventilation and enhance the ventilation effect; under the condition of fire smoke exhaust, the dynamic positioning of fire and the active suction and exhaust linkage mechanism are used to suck the smoke in the tunnel into the smoke exhaust duct for directional smoke exhaust in emergency situations to ensure the control of smoke during personnel evacuation.

[0064] In this embodiment, the lighting module based on adaptive brightness adjustment: in the context of autonomous driving, the vehicle no longer needs the driver to observe the environment, but relies on the perception of the environment by vehicle sensors such as radars and cameras, so the brightness of the tunnel lighting system under normal operating conditions can be designed according to the working brightness of the vehicle sensor, and the lighting intensity is automatically adjusted according to the brightness requirement of the vehicle sensor, and a reflective induction unit is configured to meet the identification requirements of the vehicle sensor and reduce energy consumption. Set up an emergency lighting system, which is turned on in emergency conditions such as fire to ensure the safe evacuation of trapped personnel in the tunnel.

[0065] In this embodiment, the car tunnel digital base: a tunnel full-time and space digital twin large model is built in the tunnel control center, using big data analysis and mining, new generation artificial intelligence and other technologies. The massive data collected by the car-tunnel collaborative subsystem and the tunnel safety operation and intelligent disaster prevention subsystem are uniformly processed, expressed, analyzed and decided, which is used to monitor and analyze the safety state of the tunnel, deduce and predict the development trend of the tunnel in full-time and space, and allocate road resources for intelligent networked cars and develop automatic driving strategies.

[0066] The high-efficiency energy-saving ventilation module based on high-pressure pipeline, the smoke exhaust module based on active suction and exhaust type smoke exhaust port, and the lighting module based on adaptive brightness adjustment are linked together, and under normal operating conditions, the optimal equipment control instructions are generated with safety and energy saving as the goal; under emergency conditions such as fire, the disaster is timely warned and quickly located, the signal control is taken over and the instructions are multi-end published, the tunnel mechanical and electrical facilities are controlled to ventilate, exhaust smoke and enable emergency lighting, and evacuation instructions are generated for vehicles in the tunnel, guiding trapped personnel to escape safely, efficiently and orderly.

[0067] The above describes the preferred embodiments of the present application in detail. It should be understood that those skilled in the art can make many modifications and changes without creative labor based on the concept of the present application. Therefore, any technical solution obtained by logical analysis, reasoning or limited experiment based on the existing technology according to the concept of the present application shall be within the protection scope determined by the claims.

Claims

1. A tunnel-oriented vehicle-tunnel collaborative innovation mode and its safe operation management and control system, which is used for multi-source information perception and intelligent operation management and control of tunnel automatic driving scenes, characterized in that, The vehicle-tunnel collaborative subsystem, the tunnel safety operation and intelligent disaster prevention subsystem, and a vehicle-tunnel digital base station are included. The vehicle-tunnel collaborative subsystem includes: An intelligent vehicle subsystem includes an automated intelligent connected vehicle configured with a multi-modal local perception component for real-time perception and multi-dimensional collection of vehicle state information and surrounding environment information, and low-latency transmission of vehicle state data to an intelligent tunnel side subsystem through C-V2X communication; An intelligent tunnel side subsystem has a global fusion perception module and an edge computing unit for multi-source real-time collection of tunnel traffic information, road condition information, and light environment data, and transmission of the collected and received vehicle data to the vehicle-tunnel digital base station after edge computing processing; at the same time, the intelligent tunnel side subsystem receives driving guidance instructions or control instructions from the vehicle-tunnel digital base station and sends them to the intelligent vehicle subsystem; The intelligent vehicle subsystem and the intelligent tunnel side subsystem form a vehicle-tunnel information collaborative network through C-V2X wireless communication and fiber backbone network, providing structured and low-latency vehicle-tunnel integrated data flow for the vehicle-tunnel digital base station in a multi-source perception fusion, dynamic road condition prediction, and collaborative decision-making manner, thereby supporting tunnel autonomous driving strategy formulation and emergency safety control; A tunnel safety operation and intelligent disaster prevention subsystem acquires state monitoring data of tunnel mechanical and electrical equipment and environmental data in the tunnel, transmits them to the vehicle-tunnel digital base station, and sends control instructions to the mechanical and electrical equipment according to the decision of the vehicle-tunnel digital base station to realize early warning, linkage prevention and control, and energy scheduling in disasters; A vehicle-tunnel digital base station based on a tunnel full-time and space digital twin model and an artificial intelligence decision engine uniformly processes, represents, analyzes, and decides the received vehicle and tunnel data, allocates road resources for intelligent connected vehicles, formulates optimized autonomous driving strategies, and generates fine control instructions for mechanical and electrical facilities in the tunnel according to the operation state of the tunnel.

2. The tunnel-oriented vehicle-tunnel collaborative innovation mode and its safe operation management and control system according to claim 1, characterized in that, The intelligent connected vehicle includes an integrated multi-modal local perception module, a high-reliability vehicle-mounted communication module, and a redundant control module; The multi-modal local perception module includes a laser radar, a millimeter wave radar, a high-definition camera, and an inertial navigation unit for centimeter-level vehicle positioning and all-around environmental perception; the communication module is configured with a C-V2X on-board unit (OBU) conforming to the 3GPP standard for low-latency transmission of perception data to the intelligent tunnel side subsystem and reception of driving instructions issued by the vehicle-tunnel digital base station; and the control module is provided with double-redundant electronic control units (ECUs) for controlling the intelligent connected vehicle driving according to the driving instructions.

3. The tunnel-oriented vehicle-tunnel collaborative innovation mode and its safe operation management and control system according to claim 1, characterized in that, The intelligent tunnel side subsystem includes a global multi-source perception module, an edge computing node, and a high-bandwidth fiber communication link; The global multi-source perception module uses multi-modal fusion technology including radar positioning, infrared imaging, high-definition video, and environmental sensors for real-time collection and fusion of tunnel traffic and road condition information; The edge computing node is used for local rapid preprocessing and initial judgment of abnormal events; The high-bandwidth fiber communication link is composed of a roadside unit (RSU) and a fiber cable for millisecond-level data interaction between the intelligent tunnel side subsystem and the vehicle-tunnel digital base station. The roadside unit exchanges information with the intelligent connected vehicle through C-V2X communication technology, receives vehicle state information provided by the intelligent connected vehicle, and issues driving instructions to the intelligent connected vehicle; and the optical fiber cable is used for communication between the intelligent tunnel side subsystem and the tunnel digital base.

4. The tunnel-oriented vehicle-tunnel collaborative innovation mode and its safe operation management and control system according to claim 1, characterized in that, The tunnel safety operation and intelligent disaster prevention subsystem includes a high-efficiency energy-saving ventilation module based on a high-pressure pipeline, a smoke exhaust module based on an active suction and exhaust smoke outlet, and an illumination module based on adaptive brightness adjustment. The tunnel ventilation module uses a high-pressure pipeline for tunnel ventilation, and the ventilation process includes: A ventilation section is arranged in the tunnel, the tunnel ventilation module is arranged in the section, and low-energy-consumption air replacement is performed through pressure regulation and negative ion purification technology.

5. The tunnel-oriented vehicle-tunnel collaborative innovation mode and its safe operation management and control system according to claim 4, characterized in that, The intelligent connected vehicle is in an automatic driving state in the tunnel, and when the vehicle is in a non-ventilation section, the vehicle air conditioning system is set to an internal circulation mode; when the vehicle is in a ventilation section, the vehicle air conditioning system is switched to an external circulation mode.

6. The tunnel-oriented vehicle-tunnel collaborative innovation mode and its safe operation management and control system according to claim 4, characterized in that, The tunnel ventilation module also includes an axial flow fan and a jet flow fan arranged in the tunnel, which are started to ventilate and exhaust smoke in an emergency.

7. The tunnel-oriented vehicle-tunnel collaborative innovation mode and its safe operation management and control system according to claim 2, characterized in that, The tunnel smoke exhaust module includes an active suction and exhaust smoke outlet, and the working process includes: when a fire occurs in the tunnel, the active suction and exhaust smoke outlet uses a fire dynamic positioning and suction and exhaust linkage mechanism to suck smoke into a smoke exhaust duct for directional smoke exhaust; under normal conditions, the high-pressure pipeline guides a certain proportion of fresh air into the smoke exhaust duct to provide auxiliary air supply to the tunnel space through the exhaust pipe outlet. 8.The tunnel-oriented scene-oriented vehicle-tunnel collaborative innovation mode and its safe operation management and control system according to claim 1, characterized in that, The tunnel illumination module can automatically adjust the illumination intensity according to the brightness requirement of the vehicle-mounted sensor, and is configured with a reflective induction unit to meet the identification requirement of the vehicle-mounted sensor and reduce energy consumption; and further includes an emergency lighting unit for providing illumination when an emergency occurs in the tunnel.

9. A method for safe operation and maintenance of a system based on the tunnel-oriented vehicle-tunnel collaborative innovation mode and its safe operation and maintenance management and control system according to any one of claims 1-8, characterized in that, The tunnel digital base uses a full-time and space digital twin model based on multi-source big data driving, combines artificial intelligence prediction and adaptive control algorithms, and is used for tunnel state full-life-cycle monitoring, disaster scenario deduction and dynamic strategy optimization, and uniformly processes, expresses, analyzes and decides the received vehicle and tunnel data. The tunnel passing method of the intelligent connected vehicle includes the following steps: The intelligent connected vehicle perceives and collects vehicle state information and vehicle surrounding environment information, and transmits the collected data to the intelligent tunnel side subsystem through C-V2X communication; The intelligent tunnel side subsystem collects traffic information and road condition information in the tunnel, and transmits the collected tunnel data and the data collected by the vehicle to the tunnel digital base after fusion processing; The tunnel digital base uniformly processes, expresses, analyzes and decides the received vehicle and tunnel data, allocates road resources for the intelligent connected vehicle, and formulates an optimized automatic driving strategy, and transmits driving guidance instructions or control instructions to the intelligent tunnel side subsystem; 10. The system security operation method according to claim 9, wherein, The intelligent tunnel side subsystem sends driving instructions to the intelligent connected vehicle to realize automatic driving of the intelligent connected vehicle. The tunnel operation method includes the following steps: The tunnel safety operation and intelligent disaster prevention subsystem collects the operation state data of the tunnel electromechanical equipment and the environmental data in the tunnel, and uploads them to the vehicle-tunnel digital base, and through artificial intelligence algorithm, the key environmental parameters are screened and judged in real time, and the tunnel operation state is judged; If the tunnel is in normal operation state, the optimal electromechanical equipment control instruction is generated for the purpose of safety and energy saving; If the tunnel appears emergency, the disaster is located, the signal control is taken over and the instruction is issued in multiple ways, the tunnel electromechanical facilities are controlled to ventilate, smoke and enable emergency lighting, and the evacuation instruction is generated for the vehicles in the tunnel.

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