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

Abstract

The invention discloses a tunnel safety management method, device and equipment based on a digital twin model, a medium and a product. The method comprises the following steps: obtaining structure data corresponding to a target tunnel; constructing a digital twin model corresponding to the target tunnel according to the structure data corresponding to the target tunnel; and performing safety management on the target tunnel based on the digital twin model corresponding to the target tunnel. According to the technical scheme of the invention, the safety monitoring of the whole tunnel can be realized, and the problem that the safety monitoring of a local area can only be realized in the prior art is solved; besides, through real-time data analysis and feedback of the digital twin model, accurate sensing, dynamic monitoring and intelligent control of the physical entity state are realized, the intelligence and automation degree of emergency response processing is improved, and the problems that in the prior art, expert experience is relied on, and the intelligence and automation degree is lacked are solved.

Description

Technical Field

[0001] Embodiments of the present invention relate to the technical field of tunnel safety management, and in particular, to a tunnel safety management method, device, equipment, medium and product based on a digital twin model. Background Art

[0002] Highway tunnel safety incidents involve a wide range of areas, and once a safety incident occurs, the damage is huge. These safety incidents include: fire (smoke, open flames), traffic incidents (parking in the lane, slow driving, reverse driving, congestion, pedestrians), tunnel environment (low visibility, spilled objects, water accumulation), and abnormal facilities and equipment (falling, hanging, tunnel wall equipment door open), etc. Once these incidents occur, major accidents will occur, and other related incidents will occur, bringing greater secondary disasters. For this reason, a complete set of tunnel safety management methods is needed.

[0003] Existing highway tunnel safety management technologies are mainly based on data collection and analysis of 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 fan and fire door linkage control systems to achieve rapid response and disposal of fires. In addition, some highway tunnels are equipped with radar-visual fusion monitoring systems to achieve real-time monitoring inside and outside the tunnel and rapid response to abnormal events.

[0004] Although the existing highway tunnel safety management technology has achieved tunnel safety management to a certain extent, there are still some problems and shortcomings. First, the existing sensors and monitoring systems can often only achieve safety monitoring of local areas, and cannot achieve safety monitoring of the entire tunnel. Secondly, the existing decision support system often relies on the experience of experts, lacks intelligence and automation, and cannot achieve rapid response and disposal of emergencies. Finally, the existing systems often lack interconnection and interoperability, and data sharing and comprehensive analysis cannot be achieved, which limits the efficiency and effectiveness of safety management. The existing highway tunnel safety management technology can no longer meet the needs of modern society for the safe operation of highway tunnels. Therefore, a new technical solution is urgently needed to overcome the above problems. Summary of the invention

[0005] The embodiments of the present invention provide a tunnel safety management method, device, equipment, medium and product based on a digital twin model to achieve safety monitoring of the entire tunnel.

[0006] According to one aspect of the present invention, a tunnel safety management method based on a digital twin model is provided, comprising:

[0007] Get the structure data corresponding to the target tunnel;

[0008] Constructing a digital twin model corresponding to the target tunnel according to the structural data corresponding to the target tunnel;

[0009] The target tunnel is securely managed based on the digital twin model corresponding to the target tunnel.

[0010] According to another aspect of the present invention, a tunnel safety management device based on a digital twin model is provided, the device comprising:

[0011] An acquisition module, used to acquire structural data corresponding to a target tunnel;

[0012] A construction module, used to construct a digital twin model corresponding to the target tunnel according to the structural data corresponding to the target tunnel;

[0013] A security management module is used to perform security management on the target tunnel based on the digital twin model corresponding to the target tunnel.

[0014] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0015] at least one processor; and

[0016] a memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the tunnel safety management method based on the digital twin model described in any embodiment of the present invention.

[0018] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions, and the computer instructions are used to enable a processor to implement the tunnel safety management method based on the digital twin model described in any embodiment of the present invention when executed.

[0019] According to another aspect of the present invention, an embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the tunnel safety management method based on the digital twin model described in any embodiment of the present invention.

[0020] The embodiment of the present invention obtains the structural data corresponding to the target tunnel, constructs the digital twin model corresponding to the target tunnel according to the structural data corresponding to the target tunnel, and performs safety management on the target tunnel based on the digital twin model corresponding to the target tunnel. Through the technical solution of the present invention, it is possible to achieve safety monitoring of the entire tunnel, solving the problem that only local areas can be monitored in the prior art; in addition, through real-time data analysis and feedback of the digital twin model, accurate perception, dynamic monitoring and intelligent control of the state of the physical entity are achieved, which improves the intelligence and automation of emergency response and disposal, and solves the problem of relying on expert experience and lack of intelligence and automation in the prior art.

[0021] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 is a flow chart of a tunnel safety management method based on a digital twin model in an embodiment of the present invention;

[0024] Figure 2 is a structural schematic diagram of a tunnel safety management device based on a digital twin model in an embodiment of the present invention;

[0025] Figure 3 It is a structural schematic diagram of an electronic device for implementing the tunnel safety management method based on a digital twin model according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and their meanings are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] It is understandable that before using the technical solutions disclosed in the embodiments of the present disclosure, the types, scope of use, usage scenarios, etc. of the personal information involved in the present disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0029] Embodiment 1

[0030] Tunnel engineering technology is a scientific and technological field involving tunnel design, construction, operation and management. With the development of social economy and the increase in traffic demand, the number and scale of highway tunnels as important transportation infrastructure are increasing. However, due to their closedness and complexity, highway tunnels are subject to various safety risks such as fire, landslides, and floods. Therefore, how to ensure the safe operation of highway tunnels has become an important research topic.

[0031] The embodiment of the present invention designs a complete tunnel-wide safety management system based on digital twins, among which the digital twin base for tunnel business scenarios is particularly important. This will involve digital twin infrastructure technologies in many aspects, such as tunnel infrastructure information, static, transient and dynamic information of tunnel electromechanical equipment, real-time information on tunnel safe operation, and tunnel emergency response plans.

[0032] Figure 1 is a flow chart of a tunnel safety management method based on a digital twin model in an embodiment of the present invention. This embodiment is applicable to tunnel safety management. The method can be executed by a tunnel safety management device based on a digital twin model in an embodiment of the present invention. The device can be implemented in software and / or hardware, such as Figure 1 As shown, the method specifically comprises the following steps:

[0033] S101: Obtain structural data corresponding to a target tunnel.

[0034] In this embodiment, the target tunnel may be a highway tunnel, and the structural data may be spatial structural data in the target tunnel and structural data of various equipment and facilities contained in the target tunnel.

[0035] In actual operation, lightweight parametric modeling can be used to build a 1:1 3D model of the tunnel infrastructure based on the 2D / 3D drawings or BIM (Building Information Modeling) data of the target tunnel, combined with on-site surveys, using structural data. The benefits of lightweight parametric modeling are that it can improve modeling efficiency, reduce modeling costs, and reduce the load of the 3D model on the computer system.

[0036] The tunnel global safety method based on digital twin technology in the embodiment of the present invention does not limit the type and scale of the target tunnel, and can adapt to tunnels of different types and scales, with strong adaptability and versatility. Whether in a newly built highway tunnel or in an existing highway tunnel, the technical solution of the embodiment of the present invention can be applied to improve the level of highway tunnel safety management.

[0037] S102. Construct a digital twin model corresponding to the target tunnel according to the structural data corresponding to the target tunnel.

[0038] It is known that digital twin technology is a technology that uses digital means to create a virtual model of a physical entity, and realizes accurate perception, dynamic monitoring and intelligent control of the state of the physical entity through real-time data analysis and feedback of the virtual model. This technology has been widely used in various fields, especially in the fields of smart manufacturing, smart cities and smart transportation. Digital twin technology has become an important means to achieve intelligent and automated management.

[0039] Among them, the digital twin model corresponding to the target tunnel refers to an accurate virtual copy model constructed in the digital world based on the physical entity target tunnel.

[0040] Specifically, 3D modeling technology can be used to build a digital twin model of the target tunnel. The model includes the tunnel structure, equipment and facilities in the tunnel, and can accurately reflect the overall picture of the tunnel. For the business scenarios of highway tunnels and urban underground passages, abstract modeling of basic events such as tunnel infrastructure, safety electromechanical equipment and systems, fire safety, and traffic incidents is carried out to build a tunnel safety digital twin basic platform to provide support for the actual business applications of specific tunnels.

[0041] By building a digital twin model, it is possible to accurately model and simulate the tunnel scene infrastructure and electromechanical equipment, and integrate the data of various sensors and monitoring systems in the target tunnel (these sensors and monitoring systems include but are not limited to fire alarm devices, fans, fire doors, cameras, lidar, etc.) into the model to achieve real-time data collection, transmission and analysis.

[0042] S103. Perform security management on the target tunnel based on the digital twin model corresponding to the target tunnel.

[0043] In this embodiment, based on the digital twin model, for specific projects, various functions such as real-time display of tunnel information, automatic tunnel inspection, tunnel fire monitoring, equipment fault monitoring, fire 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 asset life cycle management are realized.

[0044] Exemplary, safety management of the target tunnel can be, for example, that if a safety incident such as fire, building collapse, flood, traffic accident, etc. occurs in the target tunnel, the corresponding emergency response plan can be matched through the digital twin model, and the emergency response plan can be implemented in the target tunnel to resolve the safety incident in the tunnel.

[0045] Specifically, by building a digital twin model, interconnecting and sharing data among various sensors and monitoring systems in highway tunnels, comprehensive analysis of security incidents can be carried out, achieving safety monitoring of the entire tunnel, and improving the efficiency and effectiveness of highway tunnel safety management.

[0046] The embodiment of the present invention obtains the structural data corresponding to the target tunnel, constructs the digital twin model corresponding to the target tunnel according to the structural data corresponding to the target tunnel, and performs safety management on the target tunnel based on the digital twin model corresponding to the target tunnel. Through the technical solution of the present invention, it is possible to achieve safety monitoring of the entire tunnel, solving the problem that only local areas can be monitored in the prior art; in addition, through real-time data analysis and feedback of the digital twin model, accurate perception, dynamic monitoring and intelligent control of the state of the physical entity are achieved, which improves the intelligence and automation of emergency response and disposal, and solves the problem of relying on expert experience and lack of intelligence and automation in the prior art.

[0047] Optionally, security management of the target tunnel is performed based on the digital twin model corresponding to the target tunnel, including:

[0048] Get the location and status information of the target event that occurs in the target tunnel.

[0049] For example, the target event may be a safety event such as a fire, a collapsed house, a flood, a traffic accident, etc. in the target tunnel. The location information may be the specific location information of the target event in the target tunnel, and the status information may be information such as the scale of the target event.

[0050] In this embodiment, by building a digital twin model, the interconnection and data sharing between various systems in the target tunnel are realized, and comprehensive analysis can be performed. In the specific implementation process, data integration technology can be used to uniformly manage and process the data of various systems, and data analysis technology can be used to deeply mine and analyze the data to discover potential safety hazards and risks.

[0051] It should be noted that data integration technology mainly refers to the centralized management of systems and business data related to tunnel safety. Including: tunnel infrastructure data, basic data of facilities and equipment, etc.; monitoring data of traditional equipment, through the analysis of the equipment protocols of mainstream brands and models in the industry, the data of most equipment types in the industry are connected to the digital twin model; IoT devices, for equipment that meets the IoT specifications of smart transportation tunnels, the device data is connected through the IoT specification protocol; business data, for equipment operation and maintenance, information board information, traffic instructions information and other data, through data interfaces to connect to various business systems, so as to achieve equipment full life cycle management and real-time control capabilities of tunnel operation.

[0052] It should be noted that data analysis technology mainly conducts diagnostic analysis and predictive analysis on the operating status data of tunnel safety monitoring equipment (such as cameras, lidars), and discovers possible reasons for equipment false alarms and possible factors in the early stages of fire.

[0053] Specifically, for example, it is possible to determine whether a target event occurs in the target tunnel, as well as specific location information and status information of the target event, through devices such as cameras and laser radars installed in the target tunnel.

[0054] The location information and status information of the target event are synchronized 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 safety management of the target tunnel.

[0055] In this embodiment, the target emergency response strategy may be an event handling scheme that matches the target event. For example, if the target event is a fire, the target emergency response strategy may be to activate firefighting equipment near the fire location in the target tunnel.

[0056] Specifically, in the modeling process of the digital twin model corresponding to the target tunnel, the data structure modeling is performed for various sensors / devices in the target tunnel so as to perform data docking for various types of devices. In actual deployment, real-time data is collected into the digital twin model, and the digital twin model truly reflects the state of the physical twin of the target tunnel. If a target event occurs in the target tunnel, the location information and status information of the target event are synchronized to the digital twin model. The digital twin model automatically matches the corresponding target emergency response strategy according to the location information and status information of the target event, and realizes rapid and accurate emergency disposal, thereby realizing safe management of the target tunnel. Exemplarily, when a fire occurs in the target tunnel, the digital twin model can match the preset emergency response plan according to the detected location and scale of the fire, automatically start the corresponding fire-fighting equipment, and notify relevant personnel for emergency disposal.

[0057] The technical solution of the embodiment of the present invention realizes accurate perception, dynamic monitoring and intelligent control of the state of the physical entity (target tunnel) through real-time data analysis and feedback of the virtual model by the digital twin model, thereby improving the intelligence and automation of emergency response and disposal.

[0058] The tunnel global safety method based on digital twin technology in the embodiment of the present invention integrates intelligent decision support functions, which can achieve rapid response and handling of emergencies. Unlike the existing decision support system that relies on the experience of experts, the embodiment of the present invention uses digital twin technology to conduct real-time analysis and feedback on tunnel status, which can achieve intelligent decision support and improve the efficiency and effectiveness of highway tunnel safety management.

[0059] Optionally, before the digital twin model matches the corresponding target emergency response plan according to the location information and state information corresponding to the target event, it also includes:

[0060] Set up an emergency response strategy collection.

[0061] It should be noted that the emergency response strategy set may be a set consisting of emergency response strategies corresponding to some security events pre-set by the user according to actual needs or experience.

[0062] In actual operation, some emergency plans are usually formulated for some common tunnel safety incidents, and then called on demand. The preset emergency response strategies can be continuously updated and optimized later.

[0063] Obtain the historical event information and preset event information corresponding to the target tunnel.

[0064] The historical event information may be historical event data monitored in the target tunnel, such as sudden fire alarms. The preset event information may be some security events preset by the user according to actual needs or experience. For example, the historical event information and the preset event information may be, for example, traffic events or tunnel fire events.

[0065] Specifically, relevant information about historical events that occurred in the target tunnel can be obtained, and relevant information about events that may occur in the target tunnel can be designed to predict the trend of future target events, discover potential risks, and set better emergency response strategies to better manage the safety of the target tunnel.

[0066] Based on historical event information, preset event information and a set of emergency response strategies, simulation predictions are performed to evaluate the reliability of each emergency response strategy in the set of emergency response strategies.

[0067] In this embodiment, traffic incidents and tunnel fire incidents can be analyzed based on artificial intelligence deep learning to detect the possibility of tunnel emergencies. Based on the above analysis, combined with emergency simulation, the effects of various emergency response plans are evaluated and the best plan system is called.

[0068] The emergency response strategy corresponding to each event is determined according to the reliability of each emergency response strategy, and the emergency response strategy set is updated.

[0069] Specifically, the emergency response strategy set can be updated in real time to better match the optimal solution for the target event, thereby better achieving security management of the target tunnel.

[0070] Optionally, the location information and status information of the target event occurring in the target tunnel are obtained, including:

[0071] Control the camera installed in the target tunnel to collect images in the target tunnel in real time.

[0072] In actual operation, multiple cameras are installed in the target tunnel, and the position of each camera needs to be calibrated. Each camera can be controlled to capture images in the target tunnel, and then tunnel traffic events such as parking, driving in the wrong direction, spilling objects, illegal lane changes, and other traffic information, as well as safety events such as fire, can be identified through deep learning-based video analysis.

[0073] Perform image recognition on the image to determine whether the target event occurs in the target tunnel.

[0074] In this embodiment, image recognition may be performed on images, for example, using deep learning-based image recognition technology, which may analyze and identify traffic incidents, fires, smoke, etc. in the target tunnel.

[0075] Specifically, the images collected by each camera are identified to determine whether a security incident has occurred in the target tunnel.

[0076] If a target event occurs in the target tunnel, the radar installed in the target tunnel is controlled to obtain the position information corresponding to the target event.

[0077] In actual operation, the coordinates can be directly determined in the physical environment through the images monitored by the front-end camera, and then the data can be fed back to the digital twin model. However, the image positioning accuracy is poor, so the position can also be determined in combination with the laser radar installed in the target tunnel. Specifically, the laser radar and video fusion technology can be combined to obtain more accurate on-site location information and then passed to the digital twin model.

[0078] Determine the status information of the target event based on the image.

[0079] Specifically, image recognition can be performed based on the image to determine information such as the scale or severity of the target event, so that a more suitable emergency response strategy can be adopted.

[0080] In other embodiments, fast and accurate decision support can be provided by integrating data analysis and artificial intelligence technology, including: real-time data analysis, collecting, fusing and analyzing the real-time data of various safety-related electromechanical equipment in the tunnel, and realizing data fusion analysis of multiple types of equipment. For example: fusing and analyzing fire detection data of various different systems such as infrared flame detectors, linear temperature sensing optical fibers, and intelligent images to accurately judge fires.

[0081] The tunnel global safety method based on digital twin technology in the embodiment of the present invention realizes the interconnection between systems, and can realize data sharing and comprehensive analysis. Through digital twin technology, the functions of highway tunnel fire monitoring system, lightning-visual fusion tunnel safety event monitoring system, tunnel electromechanical facilities management and control can be integrated into a unified platform to realize data sharing and comprehensive analysis, thereby improving the efficiency and effectiveness of highway tunnel safety management. This overcomes the defects of the prior art that there is a lack of interconnection between systems and the inability to realize data sharing and comprehensive analysis.

[0082] Optionally, the digital twin model is configured to match the corresponding target emergency response strategy according to the location information and status information of the target event to achieve safety management of the target tunnel, including:

[0083] So that the digital twin model can match the corresponding target emergency response strategy according to the location information and status information of the target event.

[0084] Specifically, the digital twin model queries the pre-set set of emergency response strategies based on the location information and status information of the target event, and matches the corresponding target emergency response strategy.

[0085] Determine the control parameters corresponding to each device in the target tunnel according to the target emergency response strategy.

[0086] In actual operation, there are many types of fire safety equipment in the tunnel, and the control methods of each are different. For example, the forward and reverse rotation and speed of the fan are determined according to the location of the fire, the location of the fan, the wind direction and speed of the piston wind in the tunnel, etc. For example, the opening of the fire door and the spraying of the sprinkler valve group all have corresponding control modules. Therefore, it is necessary to control each device and control the linkage of multiple devices at the same time.

[0087] 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 to achieve security management of the target tunnel.

[0088] Specifically, 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 operates based on the above control parameters, thereby achieving safe management of the target tunnel.

[0089] The tunnel global safety method based on digital twin technology in the embodiment of the present invention solves the underlying technologies for tunnel scene infrastructure and electromechanical equipment, especially fire alarm and fan, fire door linkage and other systems, as well as the underlying logic support technology for emergency response and disposal. This provides solid underlying technical support for highway tunnel safety management and improves the reliability and stability of highway tunnel safety management.

[0090] Optionally, the structural data corresponding to the target tunnel include: the basic structural data of the target tunnel and the data corresponding to each equipment and facility in the target tunnel; the basic structural data include: tunnel road space data, pedestrian tunnel data, vehicle tunnel data and escape route data; the equipment and facilities include: fire alarm detection equipment, fire fighting facilities and equipment and auxiliary equipment; the fire alarm detection equipment includes: manual alarm button, point-type infrared flame detector, intelligent image fire detector, sound and light alarm, linear temperature sensing optical fiber and optical fiber grating; the fire fighting facilities and equipment include: fire fighting box, sprinkler valve group, sprinkler pipe, axial flow fan, jet fan, fire door and escape sign; the auxiliary equipment includes: information board, lane indicator light and emergency lighting.

[0091] In the actual operation process, in terms of infrastructure information, we can focus on the basic structural information of tunnel road space, pedestrian tunnels, vehicle tunnels, escape passages, etc., ignore irrelevant details, improve efficiency, and highlight the key points. In terms of equipment and facilities, we can perform three-dimensional structural modeling and data modeling for each electromechanical facility related to tunnel safety, including various fire alarm detection equipment (manual alarm button, point-type infrared flame detector, intelligent image fire detector, sound and light alarm, linear temperature sensing optical fiber, fiber grating, etc.), fire protection facilities and equipment (fire boxes, sprinkler valve groups, sprinkler pipes, axial flow fans, jet fans, fire doors, escape signs, etc.) and other electromechanical facilities (information boards, lane lights, emergency lighting, etc.). The above digital twin model provides basic functions. In the specific implementation process, the digital twin model of a specific tunnel can be quickly constructed by inputting and adjusting the tunnel infrastructure parameters, facility equipment installation location and other information.

[0092] The tunnel global safety method based on digital twin technology in the embodiment of the present invention can realize the safety monitoring of the entire tunnel, not just the local 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 the virtual model to achieve accurate perception, dynamic monitoring and intelligent control of the entire tunnel state. This overcomes the defect of the existing technology that can only realize local area safety monitoring, and improves the coverage and effect of highway tunnel safety management.

[0093] The technical solution of the embodiment of the present invention provides an overall architecture design scheme of a digital twin model, which provides support for tunnel global safety services by constructing a digital twin model for highway tunnel scenarios. The embodiment of the present invention emphasizes the role of the digital twin model, as well as the combination of the three-dimensional model of the tunnel infrastructure related to safety, the digital twin of various tunnel electromechanical infrastructure, the tunnel safety-related business algorithms, and the tunnel emergency response plan, and proposes a complete tunnel safety digital twin underlying platform architecture. On this architecture, a specific tunnel global safety management and control platform based on digital twins can be built for specific projects.

[0094] Embodiment 2

[0095] 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 the present invention. This embodiment can be applied to tunnel safety management. The device can be implemented in software and / or hardware. The device can be integrated in any device that provides tunnel safety management functions, such as Figure 2 As shown, the tunnel safety management device based on the digital twin model specifically includes: an acquisition module 201, a construction module 202 and a safety management module 203.

[0096] Wherein, the acquisition module 201 is used to acquire the structural data corresponding to the target tunnel;

[0097] A construction module 202 is used to construct a digital twin model corresponding to the target tunnel according to the structural data corresponding to the target tunnel;

[0098] 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.

[0099] Optionally, the security management module 203 includes:

[0100] A first acquisition unit, configured to acquire location information and state information of a target event occurring in the target tunnel;

[0101] A security 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 security management of the target tunnel.

[0102] Optionally, the device further comprises:

[0103] A setting unit, used to set an emergency response strategy set;

[0104] A second acquisition unit, used to acquire historical event information and preset event information corresponding to the target tunnel;

[0105] An evaluation unit, configured to perform simulation prediction based on the historical event information, the preset event information and the emergency response strategy set, and evaluate the reliability of each emergency response strategy in the emergency response strategy set;

[0106] The determination unit is used to determine the emergency response strategy corresponding to each event according to the reliability of each emergency response strategy, and update the emergency response strategy set.

[0107] Optionally, the first acquiring unit is specifically used for:

[0108] Controlling a camera installed in the target tunnel to collect images in the target tunnel in real time;

[0109] Performing image recognition on the image to determine whether a target event occurs in the target tunnel;

[0110] If a target event occurs in the target tunnel, controlling a radar installed in the target tunnel to obtain position information corresponding to the target event;

[0111] The state information of the target event is determined according to the image.

[0112] Optionally, the security management module unit is specifically used for:

[0113] 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;

[0114] Determine control parameters corresponding to each device in the target tunnel according to the target emergency response strategy;

[0115] 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 achieving security management of the target tunnel.

[0116] Optionally, the structural data corresponding to the target tunnel includes: basic structural data of the target tunnel and data corresponding to each equipment and facility in the target tunnel;

[0117] The infrastructure data includes: tunnel road space data, pedestrian tunnel data, vehicle tunnel data and escape passage data;

[0118] The equipment and facilities include: fire alarm detection equipment, fire fighting facilities and equipment, and auxiliary equipment;

[0119] The fire alarm detection equipment includes: manual alarm button, point-type infrared flame detector, intelligent image fire detector, sound and light alarm, linear temperature sensing optical fiber and fiber grating;

[0120] The fire-fighting facilities and equipment include: fire-fighting boxes, sprinkler valve groups, sprinkler pipes, axial flow fans, jet fans, fire doors and escape signs;

[0121] The auxiliary equipment includes: information boards, lane indicator lights and emergency lighting.

[0122] The above-mentioned product can execute the tunnel safety management method based on the digital twin model provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0123] Embodiment 3

[0124] Figure 3A schematic diagram of the structure of an electronic device 30 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0125] like Figure 3 As shown, the electronic device 30 includes at least one processor 31, and a memory connected to the at least one processor 31, such as a read-only memory (ROM) 32, a random access memory (RAM) 33, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 31 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 32 or the computer program loaded from the storage unit 38 to the random access memory (RAM) 33. In the RAM 33, various programs and data required for the operation of the electronic device 30 can also be stored. The processor 31, the ROM 32, and the RAM 33 are connected to each other through a bus 34. An input / output (I / O) interface 35 is also connected to the bus 34.

[0126] A number of components in the electronic device 30 are connected to the I / O interface 35, including: an input unit 36, such as a keyboard, a mouse, etc.; an output unit 37, such as various types of displays, speakers, etc.; a storage unit 38, such as a disk, an optical disk, etc.; and a communication unit 39, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 39 allows the electronic device 30 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0127] The processor 31 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 31 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 31 executes the various methods and processes described above, such as the tunnel safety management method based on the digital twin model:

[0128] Get the structure data corresponding to the target tunnel;

[0129] Constructing a digital twin model corresponding to the target tunnel according to the structural data corresponding to the target tunnel;

[0130] The target tunnel is securely managed based on the digital twin model corresponding to the target tunnel.

[0131] In some embodiments, the tunnel safety management method based on the digital twin model can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 38. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 30 via the ROM 32 and / or the communication unit 39. When the computer program is loaded into the RAM 33 and executed by the processor 31, one or more steps of the tunnel safety management method based on the digital twin model described above can be performed. Alternatively, in other embodiments, the processor 31 can be configured to execute the tunnel safety management method based on the digital twin model by any other appropriate means (for example, by means of firmware).

[0132] Various implementations 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 chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0133] Computer programs for implementing the methods of the present invention 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, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0134] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0135] To provide interaction with a user, the systems and techniques described herein may 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 a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0136] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0137] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0138] In one embodiment, the embodiment of the present invention also includes a computer program product, the computer program product includes a computer program, and when the computer program is executed by a processor, it implements the tunnel safety management method based on the digital twin model of any embodiment of the present invention.

[0139] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code of the present invention, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0140] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0141] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A tunnel safety management method based on a digital twin model, characterized in that: include: Get the structure data corresponding to the target tunnel; Constructing a digital twin model corresponding to the target tunnel according to the structural data corresponding to the target tunnel; The target tunnel is securely managed based on the digital twin model corresponding to the target tunnel.

2. The method according to claim 1, characterized in that The method further comprises: performing security management on the target tunnel based on the digital twin model corresponding to the target tunnel, including: Acquire location information and status information of a target event occurring in the target tunnel; The location information and status information of the target event are synchronized 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 safety management of the target tunnel.

3. The method according to claim 2, characterized in that Before the digital twin model matches the corresponding target emergency response plan according to the location information and state information corresponding to the target event, it also includes: Set up a collection of emergency response strategies; Obtaining historical event information and preset event information corresponding to the target tunnel; Perform simulation prediction based on the historical event information, the preset event information and the emergency response strategy set to evaluate the reliability of each emergency response strategy in the emergency response strategy set; The emergency response strategy corresponding to each event is determined according to the reliability of each emergency response strategy, and the emergency response strategy set is updated.

4. The method according to claim 2, characterized in that: Acquiring location information and status information of a target event occurring in the target tunnel, including: Controlling a camera installed in the target tunnel to collect images in the target tunnel in real time; Performing image recognition on the image to determine whether a target event occurs in the target tunnel; If a target event occurs in the target tunnel, controlling a radar installed in the target tunnel to obtain position information corresponding to the target event; The state information of the target event is determined according to the image.

5. The method according to claim 2, characterized in that: The digital twin model is configured to match the corresponding target emergency response strategy according to the location information and state information of the target event to achieve safety management of the target tunnel, including: 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; Determine control parameters corresponding to each device in the target tunnel 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 achieving security management of the target tunnel.

6. The method according to claim 1, characterized in that The structural data corresponding to the target tunnel includes: the basic structural data of the target tunnel and the data corresponding to each equipment and facility in the target tunnel; The infrastructure data includes: tunnel road space data, pedestrian tunnel data, vehicle tunnel data and escape passage data; The equipment and facilities include: fire alarm detection equipment, fire fighting facilities and equipment, and auxiliary equipment; The fire alarm detection equipment includes: manual alarm button, point-type infrared flame detector, intelligent image fire detector, sound and light alarm, linear temperature sensing optical fiber and fiber grating; The fire-fighting facilities and equipment include: fire-fighting boxes, sprinkler valve groups, 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, characterized in that: include: An acquisition module, used to acquire structural data corresponding to a target tunnel; A construction module, used to construct a digital twin model corresponding to the target tunnel according to the structural data corresponding to the target tunnel; A security management module is used to perform security management on the target tunnel based on the digital twin model corresponding to the target tunnel.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the tunnel safety management method based on the digital twin model as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the tunnel safety management method based on a digital twin model as described in any one of claims 1 to 6 when executed.

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

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