Tunnel safety management method and apparatus based on digital twin model, device, medium and product

Abstract

A tunnel safety management method and apparatus based on a digital twin model, a device, a medium and a product. The method comprises: acquiring structural data corresponding to a target tunnel (S101); on the basis of the structural data corresponding to the target tunnel, constructing a digital twin model corresponding to the target tunnel (S102); and on the basis of the digital twin model corresponding to the target tunnel, performing safety management on the target tunnel (S103).

Description

Tunnel safety management methods, devices, equipment, media, and products based on digital twin models

[0001] This application claims priority to Chinese Patent Application No. 202411580595.2, filed with the Chinese Patent Office on November 7, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of tunnel safety management technology, such as a tunnel safety management method, apparatus, equipment, medium, and product based on a digital twin model. Background Technology

[0003] Highway tunnel safety incidents have a wide-ranging impact and can cause enormous damage once they occur. These incidents include: fires (smoke, open flames), traffic incidents (parking, slow traffic, wrong-way driving, congestion, pedestrians), tunnel environment issues (low visibility, debris, water accumulation), and abnormalities in facilities and equipment (falling, hanging, open equipment doors in tunnel walls), etc. Once these incidents occur, they can lead to major accidents and trigger other related events, resulting in even greater secondary disasters.

[0004] Highway tunnel safety management technologies primarily rely on data acquisition and analysis using sensors and monitoring systems, as well as decision support based on expert systems. For example, some highway tunnels are equipped with fire alarm systems and integrated control systems for ventilation fans and fire doors to enable rapid response and handling of fires. Furthermore, some highway tunnels have installed radar-visual fusion monitoring systems to achieve real-time monitoring of the tunnel's interior and exterior and rapid response to abnormal events.

[0005] While existing highway tunnel safety management technologies have achieved some degree of tunnel safety management, several problems and shortcomings remain. First, sensors and monitoring systems often only provide localized safety monitoring, failing to achieve comprehensive monitoring of the entire tunnel. Second, decision support systems frequently rely on expert experience, lacking intelligence and automation, and thus hindering rapid response and handling of emergencies. Finally, systems often lack interconnectivity, preventing data sharing and comprehensive analysis, thereby limiting the efficiency and effectiveness of safety management. Therefore, existing highway tunnel safety management technologies are no longer sufficient to meet the demands of modern society for safe highway tunnel operation. Summary of the Invention

[0006] This application provides a tunnel safety management method, device, equipment, medium, and product based on a digital twin model, enabling comprehensive safety monitoring of the entire tunnel area.

[0007] According to one aspect of this application, a tunnel safety management method based on a digital twin model is provided, comprising:

[0008] Obtain the structural data corresponding to the target tunnel;

[0009] Construct a digital twin model of the target tunnel based on the structural data corresponding to the target tunnel;

[0010] The target tunnel is managed for security based on the digital twin model corresponding to the target tunnel.

[0011] According to another aspect of this application, a tunnel safety management device based on a digital twin model is provided, the device comprising:

[0012] The acquisition module is configured to acquire the structural data corresponding to the target tunnel.

[0013] The construction module is configured to construct a digital twin model of the target tunnel based on the structural data corresponding to the target tunnel.

[0014] The security management module is configured to perform security management on the target tunnel based on the digital twin model corresponding to the target tunnel.

[0015] According to another aspect of this application, an electronic device is provided, the electronic device comprising:

[0016] At least one processor; and

[0017] A memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the tunnel safety management method based on a digital twin model as described in any embodiment of this application.

[0019] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the tunnel security management method based on a digital twin model as described in any embodiment of this application.

[0020] According to another aspect of this application, embodiments of this application also provide a computer program product, which includes a computer program that, when executed by a processor, implements the tunnel safety management method based on a digital twin model as described in any embodiment of this application.

[0021] This application's embodiments acquire structural data corresponding to the target tunnel, construct a digital twin model of the target tunnel based on this structural data, and then perform safety management of the target tunnel based on this digital twin model. Through this technical solution, comprehensive safety monitoring of the entire tunnel area can be achieved, solving the problem of related technologies that can only achieve safety monitoring of local areas. Furthermore, through real-time data analysis and feedback from the digital twin model, accurate perception, dynamic monitoring, and intelligent control of the physical entity's state are achieved, improving the intelligence and automation of emergency response and addressing the problem of related technologies relying on expert experience and lacking intelligence and automation. Attached Figure Description

[0022] Figure 1 is a flowchart of a tunnel safety management method based on a digital twin model in an embodiment of this application;

[0023] Figure 2 is a schematic diagram of the structure of a tunnel safety management device based on a digital twin model in an embodiment of this application;

[0024] Figure 3 is a schematic diagram of the structure of an electronic device that implements the tunnel safety management method based on a digital twin model according to an embodiment of this application. Detailed Implementation

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having" are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] It is understood that before using the technical solutions disclosed in the various embodiments of this disclosure, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in this disclosure in an appropriate manner in accordance with relevant laws and regulations, and user authorization should be obtained.

[0027] Example 1

[0028] Tunnel engineering technology encompasses the science and technology of tunnel design, construction, operation, and management. With socio-economic development and increasing transportation demands, the number and scale of highway tunnels, as crucial transportation infrastructure, are constantly increasing. However, due to their enclosed and complex nature, highway tunnels face various safety risks, including fires, landslides, and floods.

[0029] This application presents a comprehensive tunnel safety management system based on digital twins. The digital twin foundation for tunnel business scenarios will involve various aspects of digital twin infrastructure technologies, including tunnel basic structure, infrastructure information, static, transient, and dynamic information of tunnel electromechanical equipment, real-time information on tunnel safe operation, and tunnel emergency response plans.

[0030] Figure 1 is a flowchart of a tunnel safety management method based on a digital twin model according to an embodiment of this application. This embodiment is applicable to tunnel safety management. The method can be executed by the tunnel safety management device based on a digital twin model according to the embodiment of this application. The device can be implemented in software and / or hardware. As shown in Figure 1, the method includes the following steps:

[0031] S101. Obtain the structural data corresponding to the target tunnel.

[0032] In this embodiment, the target tunnel can be a highway tunnel, and the structural data can be the spatial structural data within the target tunnel as well as the structural data of various equipment and facilities contained within the target tunnel.

[0033] In practice, lightweight parametric modeling can be used to construct a one-to-one 3D model of the tunnel foundation structure based on the target tunnel's 2D / 3D drawings or Building Information Modeling (BIM) data, combined with on-site surveys. The advantages of lightweight parametric modeling include improved modeling efficiency, reduced modeling costs, and a lower load on the computer system from the 3D model.

[0034] The tunnel safety method based on digital twin technology in this application does not limit the type and size of the target tunnel, and can adapt to tunnels of different types and sizes, exhibiting strong adaptability and versatility. The technical solution of this application can be applied to both newly built and existing highway tunnels to improve the level of highway tunnel safety management.

[0035] S102. Construct a digital twin model of the target tunnel based on the structural data corresponding to the target tunnel.

[0036] As we know, digital twin technology is a technology that uses digital means to create virtual models of physical entities. Through real-time data analysis and feedback from these virtual models, it enables precise perception, dynamic monitoring, and intelligent control of the physical entity's state. This technology has been widely applied in various fields, such as intelligent manufacturing, smart cities, and intelligent transportation, where it has become an important means of achieving intelligent and automated management.

[0037] Among them, the digital twin model corresponding to the target tunnel refers to the precise virtual copy model constructed in the digital world based on the target tunnel of the physical entity.

[0038] For example, 3D modeling technology can be used to create a digital twin model of the target tunnel. This model includes the tunnel structure, equipment and facilities within the tunnel, and can accurately reflect the overall appearance of the tunnel. For business scenarios involving highway tunnels and urban underpasses, abstract models are created for basic events such as tunnel infrastructure, safety electromechanical equipment and systems, fire safety, and traffic incidents, constructing a basic digital twin platform for tunnel safety to support practical business applications for specific tunnels.

[0039] By constructing a digital twin model, it is possible to accurately model and simulate the infrastructure and electromechanical equipment in a tunnel scenario. The model can also integrate data from various sensors and monitoring systems within the target tunnel (including but not limited to fire alarm devices, fans, fire doors, cameras, lidar, etc.) to enable real-time data acquisition, transmission, and analysis.

[0040] S103. Conduct safety management of the target tunnel based on the digital twin model corresponding to the target tunnel.

[0041] In this embodiment, based on the digital twin model, various functions are implemented for specific projects, including real-time display of tunnel information, automatic tunnel inspection, tunnel fire monitoring, equipment fault monitoring, fire-fighting linkage control, fire alarm pre-recording, emergency plan management, equipment fault maintenance knowledge base, safety asset management, operation and maintenance management, intelligent equipment maintenance dispatching, and full life cycle management of assets.

[0042] For example, safety management of a target tunnel can be achieved by using a digital twin model to match corresponding emergency response plans when safety incidents such as fires, building collapses, floods, or traffic accidents occur in the target tunnel. The emergency response plans can then be implemented in the target tunnel to resolve the safety incidents within the tunnel.

[0043] By constructing a digital twin model, interconnecting and sharing data among various sensors and monitoring systems within the highway tunnel, comprehensive analysis of safety incidents can be conducted, achieving full-area safety monitoring of the entire tunnel and improving the efficiency and effectiveness of highway tunnel safety management.

[0044] This application's embodiments acquire structural data corresponding to the target tunnel, construct a digital twin model of the target tunnel based on this structural data, and then perform safety management of the target tunnel based on this digital twin model. Through this technical solution, comprehensive safety monitoring of the entire tunnel area can be achieved, solving the problem of related technologies that can only achieve safety monitoring of local areas. Furthermore, through real-time data analysis and feedback from the digital twin model, accurate perception, dynamic monitoring, and intelligent control of the physical entity's state are achieved, improving the intelligence and automation of emergency response and addressing the problem of related technologies relying on expert experience and lacking intelligence and automation.

[0045] Optionally, security management of the target tunnel can be carried out based on a digital twin model corresponding to the target tunnel, including:

[0046] Obtain the location and status information of target events occurring within the target tunnel.

[0047] For example, the target event could be a safety event occurring within the target tunnel, such as a fire, building collapse, flood, or traffic accident. The location information could be the specific location of the target event within the target tunnel, and the status information could be information such as the scale or severity of the target event.

[0048] In this embodiment, by constructing a digital twin model, interconnection and data sharing among various systems within the target tunnel are achieved, enabling comprehensive analysis. In practical implementation, data integration technology can be employed to uniformly manage and process data from various systems, and data analysis techniques can be used for in-depth data mining and analysis to uncover potential safety hazards and risks.

[0049] Data integration technology mainly refers to the centralized management of system and business data related to tunnel safety. This includes: tunnel infrastructure data, basic data on facilities and equipment; monitoring data from traditional equipment, which, through parsing the protocols of mainstream brands and models in the industry, integrates data from most equipment types into a digital twin model; IoT devices, which connect to equipment data via IoT protocol interfaces for devices conforming to the smart transportation tunnel IoT standard; and business data, such as equipment operation and maintenance data, information board information, and traffic guidance information, which are connected to various business systems through data interfaces, thereby achieving full lifecycle management of equipment and real-time control of tunnel operation.

[0050] Data analysis technology mainly involves diagnostic and predictive analysis of the operational status data of tunnel safety monitoring equipment (such as cameras and lidar) to identify possible causes of false alarms and potential early-stage fire factors.

[0051] For example, cameras and lidar installed inside the target tunnel can be used to determine whether a target event has occurred inside the tunnel, as well as the specific location and status information of the target event.

[0052] The location and status information of the target event are synchronized to the digital twin model, so that the digital twin model can match the corresponding emergency response strategy based on the location and status information of the target event, thereby realizing the safety management of the target tunnel.

[0053] In this embodiment, the target emergency response strategy can be an event handling plan matched with the target event. For example, if the target event is a fire, the target emergency response strategy can be to activate the fire-fighting equipment near the fire location in the target tunnel.

[0054] During the modeling process of the digital twin model corresponding to the target tunnel, data structure modeling was performed for various sensors / devices within the target tunnel to facilitate data interoperability for different types of equipment. In actual deployment, real-time data is collected and fed into the digital twin model, which accurately reflects the state of the physical twin of the target tunnel. If a target event occurs within the target tunnel, the location and status information of the event are synchronized to the digital twin model. The digital twin model automatically matches the corresponding emergency response strategy based on the location and status information of the event, enabling rapid and accurate emergency response and thus achieving safety management of the target tunnel. For example, when a fire occurs within the target tunnel, the digital twin model can match a preset emergency response plan based on the detected location and scale of the fire, automatically activate the corresponding fire-fighting equipment, and notify relevant personnel for emergency response.

[0055] The technical solution of this application embodiment achieves accurate perception, dynamic monitoring and intelligent control of the physical entity (target tunnel) status through real-time data analysis and feedback of the virtual model using a digital twin model, thereby improving the intelligence and automation of emergency response and handling.

[0056] The tunnel safety method based on digital twin technology in this application integrates intelligent decision support functions, enabling rapid response and handling of emergencies. Unlike decision support systems in related technologies that rely on expert experience, this application uses digital twin technology to perform real-time analysis and feedback of tunnel conditions, achieving intelligent decision support and improving the efficiency and effectiveness of highway tunnel safety management.

[0057] Optionally, before the digital twin model matches the corresponding emergency response plan based on the location and status information of the target event, it also includes:

[0058] Configure a set of emergency response strategies.

[0059] An emergency response strategy set can be a collection of emergency response strategies corresponding to some security events that are pre-set by users based on actual needs or experience.

[0060] In practice, emergency plans are typically developed for common tunnel safety incidents and then invoked as needed. These pre-set emergency response strategies can be continuously updated and optimized.

[0061] Obtain historical event information and preset event information corresponding to the target tunnel.

[0062] Historical event information can be data on historical events monitored within the target tunnel, such as sudden fire alarms. Preset event information can be safety events pre-set by the user based on actual needs or experience. For example, historical event information and preset event information could include traffic incidents or tunnel fire incidents.

[0063] For example, information on historical events that occurred within the target tunnel can be obtained, and information on events that may occur within the target tunnel can be designed to predict future trends of target events, identify potential risks, and set better emergency response strategies for better safety management of the target tunnel.

[0064] Simulations and predictions are performed based on historical event information, preset event information, and a set of emergency response strategies to evaluate the reliability of each emergency response strategy in the set.

[0065] In this embodiment, artificial intelligence deep learning can be used to analyze traffic incidents and tunnel fires to detect the likelihood of tunnel emergencies. Based on the above analysis, combined with emergency simulation, the effectiveness of various emergency response plans is evaluated, and the best contingency plan system is invoked.

[0066] Based on the reliability of each emergency response strategy, determine the corresponding emergency response strategy for each event, and update the emergency response strategy set.

[0067] For example, the set of emergency response strategies can be updated in real time to better match the optimal solution for the target event, thereby achieving better safety management of the target tunnel.

[0068] Optionally, obtain the location and status information of the target event occurring within the target tunnel, including:

[0069] Control the cameras installed inside the target tunnel to collect images of the tunnel in real time.

[0070] In actual operation, multiple cameras are installed in the target tunnel, and the position of each camera needs to be calibrated. By controlling each camera to take pictures of the target tunnel, traffic events such as parking, driving in the wrong direction, littering, and illegal lane changes in the tunnel, as well as safety events such as fires, can be identified through video analysis based on deep learning.

[0071] Image recognition is performed on the image to determine whether a target event has occurred inside the target tunnel.

[0072] In this embodiment, image recognition can be performed using deep learning-based image recognition technology, which can analyze and identify traffic events, fires, smoke, etc. in the target tunnel.

[0073] For example, the images captured by each camera are identified to determine whether a safety incident has occurred inside the target tunnel.

[0074] If a target event occurs inside the target tunnel, the radar installed in the target tunnel will be controlled to obtain the location information corresponding to the target event.

[0075] In practice, coordinates can be determined directly in the physical environment using images monitored by front-end cameras, and the data can then be fed back into the digital twin model. However, image positioning accuracy is relatively poor. Therefore, it can also be combined with LiDAR installed inside the target tunnel to achieve location determination. For example, combining LiDAR with video fusion technology can obtain more accurate on-site location information, which is then transmitted to the digital twin model.

[0076] Determine the state information of the target event based on the image.

[0077] For example, image recognition can be performed on images to determine information such as the scale or severity of a target event, so as to adopt a more suitable emergency response strategy.

[0078] In other embodiments, rapid and accurate decision support can be provided by integrating data analysis and artificial intelligence technologies, including: real-time data analysis, which involves collecting, fusing, and analyzing real-time data from various safety-related electromechanical devices in the tunnel to achieve multi-device data fusion analysis. For example, fusing and analyzing fire detection data from various systems such as infrared flame detectors, linear thermocouples, and intelligent images to accurately determine the nature of a fire.

[0079] This application's embodiment of a tunnel-wide safety method based on digital twin technology achieves interconnectivity between systems, enabling data sharing and comprehensive analysis. Through digital twin technology, functions such as highway tunnel fire monitoring systems, radar-visual fusion tunnel safety event monitoring systems, and tunnel electromechanical facility management can be integrated onto a unified platform, achieving data sharing and comprehensive analysis, thereby improving the efficiency and effectiveness of highway tunnel safety management. This overcomes the shortcomings of related technologies that lack interconnectivity between systems and cannot achieve data sharing and comprehensive analysis.

[0080] Optionally, the digital twin model can be used to match the corresponding emergency response strategy based on the location and status information of the target event, thereby enabling safety management of the target tunnel, including:

[0081] This enables the digital twin model to match the corresponding emergency response strategy based on the location and status information of the target event.

[0082] The digital twin model queries a pre-set set of emergency response strategies based on the location and status information of the target event, and matches the corresponding target emergency response strategy.

[0083] The control parameters for each piece of equipment in the target tunnel are determined based on the target emergency response strategy.

[0084] In practice, there are various types of fire safety equipment in tunnels, each with different control methods. For example, the forward and reverse rotation and speed of the fans must be determined based on the location of the fire, the fan location, and the direction and speed of the piston airflow within the tunnel. Similarly, the opening of fire doors and the discharging of sprinkler valve assemblies each have corresponding control modules. Therefore, it is necessary to control each type of equipment, as well as the coordinated control of multiple devices.

[0085] The control parameters corresponding to each device are synchronized to each device in the target tunnel, so that each device can operate based on the control parameters, thereby achieving safe management of the target tunnel.

[0086] After determining the control parameters corresponding to each device in the target tunnel in the digital twin model, these control parameters are synchronized to each device in the target tunnel so that each device can operate based on the above control parameters, thereby achieving safe management of the target tunnel.

[0087] This application's embodiment of a tunnel-wide safety method based on digital twin technology addresses the underlying technologies for tunnel infrastructure and electromechanical equipment, such as fire alarm and ventilation systems, and fire door linkage systems, as well as the underlying logic support technologies for emergency response and handling. This provides solid underlying technical support for highway tunnel safety management, improving its reliability and stability.

[0088] Optionally, the structural data corresponding to the target tunnel includes: basic structural data of the target tunnel and data corresponding to various equipment and facilities in the target tunnel; basic structural data includes: tunnel road space data, pedestrian cross passage data, vehicular cross passage data, and escape route data; equipment and facilities include: fire alarm detection equipment, fire protection facilities and equipment, and auxiliary equipment; fire alarm detection equipment includes: manual alarm buttons, point-type infrared flame detectors, intelligent image fire detectors, audible and visual alarms, linear thermocouples, and fiber optic gratings; fire protection facilities and equipment include: fire boxes, sprinkler valve assemblies, sprinkler pipes, axial flow fans, jet fans, fire doors, and escape signage; auxiliary equipment includes: information boards, lane indicator lights, and emergency lighting.

[0089] In practical operation, regarding basic structural information, the focus should be on the fundamental structural information of tunnel road spaces, pedestrian cross passages, vehicular cross passages, and escape routes, ignoring irrelevant details to improve efficiency and highlight key aspects. Regarding equipment and facilities, 3D structural and data models can be created for each of the tunnel's safety-related electromechanical facilities, including various fire alarm detection devices (manual alarm buttons, point-type infrared flame detectors, intelligent image fire detectors, audible and visual alarms, linear thermocouples, fiber optic gratings, etc.), fire protection facilities and equipment (fire boxes, sprinkler valve assemblies, sprinkler pipes, axial flow fans, jet fans, fire doors, escape signs, etc.), and other electromechanical facilities (information boards, lane indicator lights, emergency lighting, etc.). The aforementioned digital twin model provides basic functions; in the specific implementation process, a digital twin model of a specific tunnel can be quickly constructed by inputting and adjusting tunnel foundation structural parameters, facility and equipment installation locations, and other information.

[0090] The tunnel-wide safety method based on digital twin technology in this application enables comprehensive safety monitoring of the entire tunnel, not just a localized area. Through digital twin technology, a virtual model of the entire tunnel can be created, and real-time data analysis and feedback can be performed on this virtual model, achieving precise perception, dynamic monitoring, and intelligent control of the entire tunnel's status. This overcomes the shortcomings of related technologies that can only achieve localized safety monitoring, improving the coverage and effectiveness of highway tunnel safety management.

[0091] The technical solution of this application provides an overall architecture design scheme for a digital twin model. Through the construction of a digital twin model for highway tunnel scenarios, it provides support for tunnel-wide safety operations. This application emphasizes the role of the digital twin model and, by combining safety-related 3D models of tunnel infrastructure, digital twins of various tunnel electromechanical infrastructures, tunnel safety-related business algorithms, and tunnel emergency response plans, proposes a complete tunnel safety digital twin underlying platform architecture. On this architecture, specific digital twin-based tunnel-wide safety management and control platforms can be built for specific projects.

[0092] Example 2

[0093] Figure 2 is a schematic diagram of a tunnel safety management device based on a digital twin model according to an embodiment of this application. This embodiment is applicable to tunnel safety management. The device can be implemented in software and / or hardware and can be integrated into any device that provides tunnel safety management functions. As shown in Figure 2, the tunnel safety management device based on a digital twin model includes: an acquisition module 201, a construction module 202, and a safety management module 203.

[0094] Among them, the acquisition module 201 is used to acquire the structural data corresponding to the target tunnel;

[0095] Construction module 202 is used to construct a digital twin model of the target tunnel based on the structural data corresponding to the target tunnel;

[0096] The security management module 203 is used to perform security management on the target tunnel based on the digital twin model corresponding to the target tunnel.

[0097] Optionally, the security management module 203 includes:

[0098] The first acquisition unit is used to acquire the location information and status information of the target event occurring in the target tunnel;

[0099] The safety management module unit is used to synchronize the location information and status information of the target event to the digital twin model, so that the digital twin model matches the corresponding target emergency response strategy according to the location information and status information of the target event, thereby realizing the safety management of the target tunnel.

[0100] Optionally, the device further includes:

[0101] The configuration unit is used to set up a set of emergency response strategies;

[0102] The second acquisition unit is used to acquire historical event information and preset event information corresponding to the target tunnel;

[0103] An evaluation unit is used to perform simulation predictions based on the historical event information, the preset event information, and the emergency response strategy set, and to evaluate the reliability of each emergency response strategy in the emergency response strategy set.

[0104] The determining unit is used to determine the emergency response strategy corresponding to each event based on the reliability of each emergency response strategy, and to update the set of emergency response strategies.

[0105] Optionally, the first acquisition unit is used for:

[0106] Control the camera installed inside the target tunnel to collect images of the target tunnel in real time;

[0107] Image recognition is performed on the image to determine whether a target event has occurred inside the target tunnel;

[0108] If a target event occurs in the target tunnel, the radar installed in the target tunnel is controlled to obtain the location information corresponding to the target event;

[0109] The state information of the target event is determined based on the image.

[0110] Optionally, the security management module unit is used for:

[0111] This enables the digital twin model to match the corresponding target emergency response strategy based on the location and status information of the target event;

[0112] The control parameters corresponding to each device in the target tunnel are determined according to the target emergency response strategy.

[0113] The control parameters corresponding to each device are synchronized to each device in the target tunnel, so that each device operates based on the control parameters, thereby realizing the safe management of the target tunnel.

[0114] Optionally, the structural data corresponding to the target tunnel includes: the basic structural data of the target tunnel and the data corresponding to each piece of equipment and facility in the target tunnel;

[0115] The basic structural data includes: tunnel road space data, pedestrian cross passage data, vehicular cross passage data, and escape route data;

[0116] The equipment and facilities include: fire alarm detection equipment, fire protection facilities and equipment, and auxiliary equipment;

[0117] The fire alarm detection equipment includes: a manual alarm button, a point-type infrared flame detector, an intelligent image fire detector, an audible and visual alarm, a linear thermoelectric fiber, and a fiber optic grating.

[0118] The fire protection facilities and equipment include: fire boxes, sprinkler valve assemblies, sprinkler pipes, axial flow fans, jet fans, fire doors, and escape signs;

[0119] The auxiliary equipment includes: information boards, lane indicator lights, and emergency lighting.

[0120] The above-mentioned products can execute the tunnel safety management method based on digital twin model provided in any embodiment of this application, and have the corresponding functional modules and effects of the execution method.

[0121] Example 3

[0122] Figure 3 illustrates a schematic diagram of an electronic device 30 that can be used to implement embodiments of this application. The electronic device can be a variety of digital computers, such as laptops, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0123] As shown in Figure 3, the electronic device 30 includes at least one processor 31 and a memory, such as a read-only memory (ROM) 32 and a random access memory (RAM) 33, communicatively connected to the at least one processor 31. The memory stores computer programs executable by the at least one processor. The processor 31 can perform various appropriate actions and processes based on the computer program stored in the ROM 32 or loaded into the RAM 33 from storage unit 38. The RAM 33 can also store various programs and data required for the operation of the electronic device 30. The processor 31, ROM 32, and RAM 33 are interconnected via a bus 34. An input / output (I / O) interface 35 is also connected to the bus 34.

[0124] Multiple components in electronic device 30 are connected to I / O interface 35, including: input unit 36, such as keyboard, mouse, etc.; output unit 37, such as various types of monitors, speakers, etc.; storage unit 38, such as disk, optical disk, etc.; and communication unit 39, such as network card, modem, wireless transceiver, etc. Communication unit 39 allows electronic device 30 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0125] Processor 31 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 31 include, but are not limited to, central processing unit (CPU), graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 31 performs the various methods and processes described above, such as tunnel security management methods based on digital twin models.

[0126] Obtain the structural data corresponding to the target tunnel;

[0127] Construct a digital twin model of the target tunnel based on the structural data corresponding to the target tunnel;

[0128] The target tunnel is managed for security based on the digital twin model corresponding to the target tunnel.

[0129] In some embodiments, the tunnel security management method based on a digital twin model can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 38. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 30 via ROM 32 and / or communication unit 39. When the computer program is loaded into RAM 33 and executed by processor 31, one or more steps of the tunnel security management method based on a digital twin model described above can be performed. Alternatively, in other embodiments, processor 31 can be configured to perform the tunnel security management method based on a digital twin model by any other suitable means (e.g., by means of firmware).

[0130] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0131] Computer programs used to implement the methods of this application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0132] In the context of this application, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A machine-readable storage medium may include an electrical connection based on one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0133] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0134] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0135] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. The client-server relationship is established by running computer programs on the respective computers that establish this relationship. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service ecosystem. This addresses the shortcomings of traditional physical hosting and VPS services, such as high management difficulty and weak business scalability.

[0136] In one embodiment, the present application also includes a computer program product, which includes a computer program that, when executed by a processor, implements the tunnel safety management method based on a digital twin model according to any embodiment of the present application.

[0137] In the implementation of the computer program product, computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0138] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this application can be achieved, and this is not limited herein.

Claims

1. A tunnel safety management method based on a digital twin model, comprising: Obtain the structural data corresponding to the target tunnel; Construct a digital twin model of the target tunnel based on the structural data corresponding to the target tunnel; The target tunnel is managed for security based on the digital twin model corresponding to the target tunnel.

2. The method according to claim 1, wherein, Security management of the target tunnel based on the digital twin model corresponding to the target tunnel includes: Obtain the location and status information of the target event occurring within the target tunnel; The location and status information of the target event are synchronized to the digital twin model, so that the digital twin model can match the corresponding target emergency response strategy according to the location and status information of the target event, thereby realizing the safety management of the target tunnel.

3. The method according to claim 2, before the digital twin model matches the corresponding target emergency response plan based on the location information and status information corresponding to the target event, further comprising: Configure a set of emergency response strategies; Obtain historical event information and preset event information corresponding to the target tunnel; Simulation predictions are performed based on the historical event information, the preset event information, and the set of emergency response strategies to evaluate the reliability of each emergency response strategy in the set of emergency response strategies. The emergency response strategy for each event is determined based on the reliability of each emergency response strategy, and the set of emergency response strategies is updated.

4. The method according to claim 2, wherein, Obtaining the location and status information of the target event occurring within the target tunnel includes: Control the camera installed inside the target tunnel to collect images of the target tunnel in real time; Image recognition is performed on the image to determine whether a target event has occurred inside the target tunnel; If a target event occurs in the target tunnel, the radar installed in the target tunnel is controlled to obtain the location information corresponding to the target event; The state information of the target event is determined based on the image.

5. The method according to claim 2, wherein, To enable the digital twin model to match the corresponding target emergency response strategy based on the location and status information of the target event, thereby achieving safety management of the target tunnel, including: This enables the digital twin model to match the corresponding target emergency response strategy based on the location and status information of the target event; The control parameters corresponding to each device in the target tunnel are determined according to the target emergency response strategy. The control parameters corresponding to each device are synchronized to each device in the target tunnel, so that each device operates based on the control parameters, thereby realizing the safe management of the target tunnel.

6. The method according to claim 1, wherein, The structural data corresponding to the target tunnel includes: the basic structural data of the target tunnel and the data corresponding to each piece of equipment and facility in the target tunnel; The basic structural data includes: tunnel road space data, pedestrian cross passage data, vehicular cross passage data, and escape route data; The equipment and facilities include: fire alarm detection equipment, fire protection facilities and equipment, and auxiliary equipment; The fire alarm detection equipment includes: a manual alarm button, a point-type infrared flame detector, an intelligent image fire detector, an audible and visual alarm, a linear thermoelectric fiber, and a fiber optic grating. The fire protection facilities and equipment include: fire boxes, sprinkler valve assemblies, sprinkler pipes, axial flow fans, jet fans, fire doors, and escape signs; The auxiliary equipment includes: information boards, lane indicator lights, and emergency lighting.

7. A tunnel safety management device based on a digital twin model, comprising: The acquisition module is configured to acquire the structural data corresponding to the target tunnel. The construction module is configured to construct a digital twin model of the target tunnel based on the structural data corresponding to the target tunnel. The security management module is configured to perform security management on the target tunnel based on the digital twin model corresponding to the target tunnel.

8. An electronic device, comprising: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the tunnel safety management method based on a digital twin model as described in any one of claims 1-6.

9. A computer-readable storage medium storing computer instructions for causing a processor to execute the tunnel safety management method based on a digital twin model as described in any one of claims 1-6.

10. A computer program product comprising a computer program that, when executed by a processor, implements the tunnel safety management method based on a digital twin model according to any one of claims 1-6.

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