Large tunnel rescue station construction risk assessment system

Abstract

The invention provides a large tunnel rescue station construction risk assessment system. The method is applied to the technical field of large-scale tunnel rescue station construction risk assessment. The method comprises the steps of obtaining GIS geographic information data of a large-scale tunnel rescue station construction site; the server is also used for screening out each risk source according to the GIS geographic information data and positioning each risk source; acquiring risk information of each risk source; according to each piece of risk information, determining an influence relationship among the risk sources, screening out a primary risk source and a secondary risk source from the risk sources, displaying the mutual relevance of the primary risk source and the secondary risk source in a risk matrix form, and outputting a comprehensive influence evaluation result of the primary risk source and the secondary risk source on the construction of the large tunnel rescue station; and according to an evaluation result, constructing a large tunnel rescue station construction risk evaluation matrix to obtain a priority item of the evaluation result, and performing risk control from the main risk source. In this way, the accuracy of construction risk assessment of the tunnel rescue station can be improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of large-scale tunnel rescue station construction risk assessment, and in particular to a large-scale tunnel rescue station construction risk assessment system. Background Art

[0002] During the construction of large-scale tunnels, the construction and operation of tunnel rescue stations are important components for ensuring tunnel construction safety and responding to emergencies. Tunnel rescue stations are not only key facilities for emergency rescue, but also bear the heavy responsibility of ensuring the safety of construction workers, improving the efficiency of emergency response to accidents, and reducing accident losses. During tunnel construction, due to the influence of factors such as confined space, underground environment, and complex geology, safety accidents such as collapse, fire, explosion, and gas leakage are prone to occur at the construction site. One of the main functions of a tunnel rescue station is to provide trapped people with rapid rescue channels and equipment in the event of an emergency. Therefore, risk assessment during construction can help predict possible sources of risk, analyze the probability and consequences of accidents, and thus provide a scientific basis for the construction of rescue stations, ensure that the setting of rescue facilities meets actual needs, and maximize the safety of construction workers. Tunnel construction projects are usually large-scale and have a long construction period. The various potential risks during the construction process are complex and changeable. Risk assessment can provide guidance for the layout of rescue stations, the configuration of rescue equipment, and the training of personnel. Accidents during construction When conducting risk assessment, it can help formulate scientific emergency plans and disposal processes, ensure rapid response and effective implementation of rescue operations, and minimize accident losses; the tunnel construction environment is complex, involving a variety of engineering technologies and equipment, and there are many risk points. Through a systematic risk assessment of the construction of large-scale tunnel rescue stations, the potential risks and hidden dangers in the construction process can be fully identified; the construction of tunnel rescue stations requires a lot of resources, including funds, equipment, personnel, etc. Through risk assessment of tunnel rescue stations, the urgency of rescue needs and the construction standards of rescue stations can be scientifically analyzed, so as to reasonably plan the construction scale and resource investment. The assessment results can help the project management team make the best decision, avoid over-investment or waste of resources, and ensure that economic benefits are maximized under the premise of ensuring safety. Therefore, it is of great significance to conduct risk assessment on the construction of large-scale tunnel rescue stations.

[0003] At present, in the process of existing technology for risk assessment of large-scale tunnel rescue station construction, the commonly used risk assessment models mostly rely on historical data and experience, and lack real-time and dynamic data support. When faced with complex geological conditions and sudden construction accidents, the existing assessment models may not be able to accurately reflect the changes in risks. Summary of the invention

[0004] The present invention provides a large-scale tunnel rescue station construction risk assessment system.

[0005] According to a first aspect of the present disclosure, a large-scale tunnel rescue station construction risk assessment system is provided. The system comprises:

[0006] The risk source identification module is used to obtain the GIS geographic information data of the construction site of the large-scale tunnel rescue station; it is also used to screen out various risk sources according to the GIS geographic information data and locate each of the risk sources;

[0007] A risk assessment module is used to obtain risk information of each risk source; determine the influence relationship between each risk source according to each risk information, select the main risk source and the secondary risk source from each risk source, display the correlation between the main risk source and the secondary risk source in the form of a risk matrix, and output the comprehensive impact evaluation result of the main risk source and the secondary risk source on the construction of the large-scale tunnel rescue station;

[0008] The risk control module is used to construct a large-scale tunnel rescue station construction risk assessment matrix based on the evaluation results, so as to obtain the priority items of the evaluation results and perform risk control from the main risk sources.

[0009] Further: the risk source identification module includes a data storage unit, a data processing unit and a risk source calculation unit;

[0010] The data storage unit is used to store the GIS system and the risk source feature library;

[0011] The data processing unit is used to establish a three-dimensional model of the construction site of a large-scale tunnel rescue station according to the GIS system, and segment the risk source from the three-dimensional model, and store the three-dimensional model of the risk source; compare the three-dimensional model storing the risk source with the data in the risk source feature library to screen the characteristic parameters in the corresponding risk source, and determine the weight index of the corresponding characteristic parameter; combine the three-dimensional model storing the risk source with the three-dimensional model of the construction site of the large-scale tunnel rescue station to extract the spatial location information and quantity information of the risk source;

[0012] A risk source calculation unit is used to calculate the corresponding relevance weight value of each risk source to the three-dimensional model of the construction site of the large-scale tunnel rescue station according to the quantity information, and determine the sensitivity of the corresponding risk source according to the spatial position information and the three-dimensional model storing the corresponding risk source; according to the relevance weight value and the sensitivity result, obtain the GIS geographic information data of the construction site of the large-scale tunnel rescue station, and calculate the weight value of each risk source in the GIS geographic information data of the construction site of the large-scale tunnel rescue station according to the GIS geographic information data;

[0013] The data processing unit compares the weight value corresponding to each risk source with the weight index of the characteristic parameter to obtain the risk source with a weight index greater than the characteristic parameter, and relocates the spatial position information of the risk source with a weight index greater than the characteristic parameter; the data processing unit outputs the relocated three-dimensional model storing the risk source to the risk assessment module;

[0014] The data processing unit is also used to obtain construction information from each of the risk sources, and add the construction information to the corresponding three-dimensional model storing the risk source.

[0015] Furthermore, the characteristic parameter is at least one of the following: a structural deformation parameter, a fracture seepage parameter, and a structural displacement parameter.

[0016] Furthermore, the risk assessment module includes:

[0017] Data conversion unit and risk assessment unit;

[0018] After receiving the three-dimensional model storing the risk source, the data conversion unit extracts the risk information in the corresponding risk source and converts the risk information into the primary risk source and secondary risk source corresponding to the risk matrix; the primary risk source and the secondary risk source generate the GIS geographic information data of the construction site of the large tunnel rescue station;

[0019] The risk assessment unit is used to calculate the mutual correlation between the main risk source and the secondary risk source based on the GIS geographic information data of the construction site of the large tunnel rescue station, and calculate the weight values ​​of the main risk source and the secondary risk source respectively according to the weight value of the risk source to obtain the weight value of the GIS geographic information data of the tunnel site; the risk assessment unit outputs the weight value of the GIS geographic information data of the construction site of the large tunnel rescue station to the risk control module for data processing.

[0020] Further: the risk information of the risk source includes the attributes, impact scope, and exposure degree of the primary risk source and the secondary risk source;

[0021] The data conversion unit converts the risk information of the risk source, specifically including: generating a two-dimensional chart based on the three factors of attributes, impact scope, and exposure degree, and establishing a mapping table between the two-dimensional chart and the weight value of the risk source; the two-dimensional chart is represented in the form of primary risk sources and secondary risk sources, and the two-dimensional chart is represented in the form of a matrix to obtain the corresponding correlation matrix value.

[0022] Furthermore, the data conversion unit represents a two-dimensional chart in the form of a matrix, specifically including: inputting the main risk source and the attributes, influence range, and exposure degree of the main risk source into a row list, and inputting the secondary risk source and the attributes, influence range, and exposure degree of the secondary risk source into a column list; and inputting the average values ​​of the main risk source, the secondary risk source, and the attributes, influence range, and exposure degree of the main risk source into a value list.

[0023] Further: the risk source identification module adopts a dynamic update mechanism in the acquired GIS geographic information data to ensure that the identification of risk sources in the system can timely reflect changes in the on-site environment;

[0024] The risk source calculation unit dynamically adjusts the sensitivity assessment of the risk source according to the spatial location information of the risk source and the progress of the construction stage.

[0025] Further: the risk assessment unit in the risk assessment module, in addition to calculating based on the weight values ​​of the primary risk source and the secondary risk source, also combines the actual construction conditions on site;

[0026] The risk matrix is ​​presented in stages according to different construction stages.

[0027] According to a second aspect of the present disclosure, an electronic device is provided. The electronic device includes: a memory and a processor, wherein a computer program is stored in the memory, and the method in the system is implemented when the processor executes the program.

[0028] According to a third aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method in the system is implemented.

[0029] Through the acquisition and analysis of GIS geographic information data, the present invention can accurately identify potential risk sources at the construction site, which helps to identify and avoid various risks in the environment, construction equipment and personnel safety in advance; through detailed analysis of each risk source, it can fully understand the nature and possible impact of each risk source, and through the identification of influence relationships and the construction of a risk matrix, it can clarify the interaction and influence between different risk sources, so as to accurately identify the main and secondary risk sources, which helps to understand the comprehensive impact of risks on the entire construction process from a system level; it can help construction units to scientifically evaluate and effectively control various potential risks, significantly improve the safety of the construction process, and thereby improve the accuracy of risk assessment for tunnel rescue station construction.

[0030] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0032] Figure 1 A block diagram of a large-scale tunnel rescue station construction risk assessment system according to an embodiment of the present disclosure is shown;

[0033] Figure 2 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0035] Figure 1 A block diagram of a large-scale tunnel rescue station construction risk assessment system according to an embodiment of the present disclosure is shown, and the system includes:

[0036] The risk source identification module 101 is used to obtain GIS geographic information data of the construction site of the large-scale tunnel rescue station; and is also used to screen out various risk sources according to the GIS geographic information data, and locate each of the risk sources;

[0037] The risk assessment module 102 is used to obtain the risk information of each risk source; determine the influence relationship between each risk source according to each risk information, select the main risk source and the secondary risk source from each risk source, display the correlation between the main risk source and the secondary risk source in the form of a risk matrix, and output the comprehensive impact evaluation result of the main risk source and the secondary risk source on the construction of the large-scale tunnel rescue station;

[0038] The risk control module 103 is used to construct a large-scale tunnel rescue station construction risk assessment matrix based on the evaluation results, so as to obtain the priority items of the evaluation results and perform risk control from the main risk sources.

[0039] According to the embodiments of the present disclosure, by acquiring and analyzing GIS geographic information data, potential risk sources at the construction site can be accurately identified, which helps to identify and avoid various risks in the environment, construction equipment and personnel safety in advance; through detailed analysis of each risk source, the nature and possible impact of each risk source can be fully understood, and through the identification of influence relationships and the construction of a risk matrix, the interactions and influences between different risk sources can be clarified, so that the main and secondary risk sources can be accurately identified, which helps to understand the comprehensive impact of risks on the entire construction process from a system level; it can help construction units to scientifically evaluate and effectively control various potential risks, significantly improve the safety of the construction process, reduce the occurrence of accidents, and thereby improve the accuracy of risk assessment of tunnel rescue station construction.

[0040] In some embodiments, the risk source identification module includes a data storage unit, a data processing unit and a risk source calculation unit; the data storage unit is used to store a GIS system and a risk source feature library; the data processing unit is used to establish a three-dimensional model of the construction site of a large tunnel rescue station according to the GIS system, and segment the risk source from the three-dimensional model, and store the three-dimensional model of the risk source; the three-dimensional model storing the risk source is compared with the data in the risk source feature library to screen the characteristic parameters in the corresponding risk source, and determine the weight index of the corresponding characteristic parameters; the three-dimensional model storing the risk source is combined with the three-dimensional model of the construction site of the large tunnel rescue station to extract the spatial position information and quantity information of the risk source; the risk source calculation unit is used to calculate the corresponding correlation weight value of each risk source to the three-dimensional model of the construction site of the large tunnel rescue station according to the quantity information, and according to the The sensitivity of the corresponding risk source is determined based on the spatial position information and the three-dimensional model storing the corresponding risk source; the GIS geographic information data of the construction site of the large-scale tunnel rescue station is obtained according to the correlation weight value and the sensitivity result, and the weight value of each risk source in the GIS geographic information data of the construction site of the large-scale tunnel rescue station is calculated based on the GIS geographic information data; the data processing unit compares the weight value corresponding to each risk source with the weight index of the characteristic parameter to obtain the risk source with a weight index greater than the characteristic parameter, and re-locates the spatial position information of the risk source with a weight index greater than the characteristic parameter; the data processing unit outputs the relocated three-dimensional model storing the risk source to the risk assessment module; the data processing unit is also used to obtain the construction information in each of the risk sources, and add the construction information to the corresponding three-dimensional model storing the risk source.According to the embodiments of the present disclosure, by using the GIS system to establish a three-dimensional model of the tunnel construction site and segmenting potential risk sources in the model, it is possible to efficiently and accurately identify on-site risks, and more intuitively and meticulously reflect the spatial distribution of risk sources and their interrelationships, thereby avoiding the omission of potential hazardous factors. By comparing the stored three-dimensional risk source model with the data in the risk source feature library, the type, characteristics and potential hazards of the risk source can be automatically identified, greatly improving the accuracy of identification and reducing human operation errors. By calculating the characteristic parameters and weight index of the risk source, the characteristic data that best matches the actual risk source can be intelligently screened out, ensuring that the comprehensive evaluation of the risk source is more scientific and quantitative. By calculating the correlation between each risk source, the risk factor can be automatically identified. The weight value and sensitivity can quantitatively evaluate the possible impact of each risk source on the construction site, so as to accurately rank its risk level, which can help decision makers prioritize the risk sources with the greatest potential threat and improve construction safety. By acquiring and calculating the GIS geographic information data of the tunnel construction site in real time and dynamically adjusting the weight value of each risk source, risk assessment is not limited to static data, but can also be updated in real time according to actual conditions during the construction process, ensuring the dynamic and timely nature of risk management. By automatically generating and outputting the three-dimensional model of the risk source and related assessment data through the system, decision makers can quickly obtain the most accurate risk information and respond quickly based on this information to reduce the occurrence of accidents.

[0041] In some embodiments, the characteristic parameter is at least one of the following: a structural deformation parameter, a fracture seepage parameter, and a structural displacement parameter.

[0042] In some embodiments, the risk assessment module includes: a data conversion unit and a risk assessment unit; after the data conversion unit receives the three-dimensional model storing the risk source, it extracts the risk information in the corresponding risk source, and converts the risk information into the primary risk source and secondary risk source corresponding to the risk matrix; the primary risk source and the secondary risk source generate the GIS geographic information data of the construction site of a large tunnel rescue station; the risk assessment unit is used to calculate the mutual correlation between the primary risk source and the secondary risk source according to the GIS geographic information data of the construction site of the large tunnel rescue station, and calculate the weight values ​​of the primary risk source and the secondary risk source respectively according to the weight value of the risk source to obtain the weight value of the GIS geographic information data of the tunnel site; the risk assessment unit outputs the weight value of the GIS geographic information data of the construction site of the large tunnel rescue station to the risk control module for data processing. According to the embodiments of the present disclosure, by combining the three-dimensional model with GIS geographic information data, the primary and secondary risk sources of the tunnel construction site can be accurately identified, and the spatial positioning and visualization of the risks can be achieved; the risk information is converted into a risk matrix and combined with GIS data, which provides a more accurate basis for subsequent risk assessment and helps scientific calculation and risk prediction; through the calculation of correlation and dynamic adjustment of risk source weight values, risk assessment is made more flexible and can reflect the changes and priorities of risk sources in real time, thereby improving the accuracy and timeliness of risk management.

[0043] In some embodiments, the risk information of the risk source includes the attributes, scope of influence, and degree of exposure of the primary risk source and the secondary risk source; the data conversion unit converts the risk information of the risk source, specifically including: generating a two-dimensional chart from the three factors of attributes, scope of influence, and degree of exposure, and establishing a mapping table between the two-dimensional chart and the weight value of the risk source; the two-dimensional chart is represented in the form of a primary risk source and a secondary risk source, and the two-dimensional chart is represented in the form of a matrix to obtain the corresponding correlation matrix value. According to the embodiment of the present disclosure, by taking into account multiple factors such as the attributes, scope of influence, and degree of exposure of the risk source, all aspects of the risk source can be comprehensively evaluated, which helps to identify the complexity and diversity of potential risks, thereby improving the accuracy and comprehensiveness of risk assessment; establishing a mapping relationship between different attributes of the risk source and the weight value can quantify the importance of each risk source and its contribution to the overall risk, provide data support for subsequent risk assessment and decision-making, and help to efficiently prioritize and allocate resources.

[0044] In some embodiments, the data conversion unit represents a two-dimensional chart in the form of a matrix, specifically including: inputting the three factors of the main risk source and the main risk source's attributes, scope of influence, and degree of exposure into a row list, inputting the three factors of the secondary risk source and the secondary risk source's attributes, scope of influence, and degree of exposure into a column list; inputting the average values ​​of the three factors of the main risk source, secondary risk source, and main risk source's attributes, scope of influence, and degree of exposure into a value list. According to the disclosed embodiment, by simultaneously considering the three factors of attributes, scope of influence, and degree of exposure, it is possible to comprehensively evaluate the different characteristics of the risk source, rather than just being limited to a single dimension, which helps to identify all levels of potential risk sources and provide more accurate risk assessment data; in the form of a matrix, it is possible to conveniently view the relationship between the main risk source and the secondary risk source. Through the input of data that crosses rows and columns, the interaction and influence between risk sources will be intuitively displayed, helping to identify the potential impact of secondary risk sources on the main risk source, and then revealing the dependency and linkage effects between different risk sources.

[0045] In some embodiments, the risk source identification module adopts a dynamic update mechanism in the acquired GIS geographic information data to ensure that the identification of risk sources in the system can timely reflect the changes in the on-site environment; the risk source calculation unit dynamically adjusts the sensitivity assessment of the risk source according to the spatial location information of the risk source and the progress of the construction stage. According to the embodiment of the present disclosure, by adopting a dynamic update mechanism, the system can acquire and process changes in GIS geographic information data in real time, ensuring that these changes are reflected in the risk source identification in a timely manner, so as to accurately assess the changes of new risk sources or identified risk sources; the update mechanism can automatically adapt to changes in the on-site environment, so that the identification of risk sources is no longer static, but closely linked to the actual situation of the construction site, and can avoid risk omissions or misjudgments caused by environmental changes; through real-time updates and dynamic adjustments, the system can quickly respond to changes in the environment and construction stages, so that when risk sources appear or change, timely warnings are issued and corresponding measures are taken. This flexibility greatly enhances the risk management capabilities of the construction site and helps reduce the probability of accidents.

[0046] In some embodiments, the risk assessment unit in the risk assessment module, in addition to calculating based on the weight values ​​of the primary risk source and the secondary risk source, also combines the actual construction conditions on site; the risk matrix is ​​displayed in stages according to different construction stages. According to the embodiments of the present disclosure, by combining the actual conditions on site, the risk matrix displayed in stages, and the weight calculation of the primary and secondary risk sources, it is possible to more comprehensively and accurately identify and assess potential risks, and then take effective control measures, which can significantly reduce the probability of safety accidents during the construction process and improve the overall safety of the project. According to the embodiments of the present disclosure, the present disclosure also provides an electronic device and a readable storage medium.

[0047] Figure 2 A schematic block diagram of an electronic device that can be used to implement an embodiment of the present disclosure 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, 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 disclosure described and / or required herein.

[0048] The electronic device includes a computing unit 201, which can perform various appropriate actions and processes according to a computer program stored in ROM 202 or a computer program loaded from a storage unit 208 into RAM 203. In RAM 203, various programs and data required for the operation of the electronic device can also be stored. The computing unit 201, ROM 202, and RAM 203 are connected to each other via a bus 204. An I / O interface 205 is also connected to the bus 204.

[0049] A number of components in the electronic device are connected to the I / O interface 205, including: an input unit 206, such as a keyboard, a mouse, etc.; an output unit 207, such as various types of displays, speakers, etc.; a storage unit 208, such as a disk, an optical disk, etc.; and a communication unit 209, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 209 allows the electronic device to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0050] The computing unit 201 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 201 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The computing unit 201 performs the various methods and processes described above, such as a large-scale tunnel rescue station construction risk assessment system. For example, in some embodiments, the large-scale tunnel rescue station construction risk assessment system may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 208. In some embodiments, part or all of the computer program may be loaded and / or installed on an electronic device via ROM 202 and / or a communication unit 209. When the computer program is loaded into RAM 203 and executed by the computing unit 201, one or more steps of the large-scale tunnel rescue station construction risk assessment system described above may be executed. Alternatively, in other embodiments, the computing unit 201 may be configured in any other appropriate manner (eg, by means of firmware) to execute the method in the large-scale tunnel rescue station construction risk assessment system.

[0051] 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 may 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.

[0052] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code 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.

[0053] In the context of the present disclosure, a readable storage medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A readable storage medium may be a machine-readable signal medium or a machine-readable storage medium. A readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of readable storage media 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.

[0054] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device 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 computer. Other types of devices can also be used to provide interaction with the user; for example, the 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 acoustic input, voice input, or tactile input).

[0055] The systems and techniques described herein may be implemented in a computing system that includes back-end 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 front-end 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 back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communications network). Examples of communications networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0056] A computer 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 relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0057] It should be understood that the above-mentioned various forms of processes can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solution of this disclosure can be achieved, and this document does not limit this.

[0058] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. 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 disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A large-scale tunnel rescue station construction risk assessment system, characterized in that: include: Risk source identification module, used to obtain GIS geographic information data of the construction site of large-scale tunnel rescue stations; It is also used to screen out various risk sources according to the GIS geographic information data and locate each risk source; A risk assessment module, used to obtain risk information of each risk source; According to the risk information, determine the influence relationship between the risk sources, select the main risk source and the secondary risk source from the risk sources, display the correlation between the main risk source and the secondary risk source in the form of a risk matrix, and output the comprehensive impact evaluation result of the main risk source and the secondary risk source on the construction of the large-scale tunnel rescue station; The risk control module is used to construct a large-scale tunnel rescue station construction risk assessment matrix based on the evaluation results, so as to obtain the priority items of the evaluation results and perform risk control from the main risk sources.

2. The large-scale tunnel rescue station construction risk assessment system according to claim 1 is characterized by: The risk source identification module includes a data storage unit, a data processing unit and a risk source calculation unit; The data storage unit is used to store the GIS system and the risk source feature library; The data processing unit is used to establish a three-dimensional model of the construction site of a large-scale tunnel rescue station according to the GIS system, and segment the risk source from the three-dimensional model, and store the three-dimensional model of the risk source; compare the three-dimensional model storing the risk source with the data in the risk source feature library to screen the characteristic parameters in the corresponding risk source, and determine the weight index of the corresponding characteristic parameter; combine the three-dimensional model storing the risk source with the three-dimensional model of the construction site of the large-scale tunnel rescue station to extract the spatial location information and quantity information of the risk source; A risk source calculation unit, used to calculate the corresponding relevance weight value of each risk source to the three-dimensional model of the construction site of the large tunnel rescue station according to the quantity information, and determine the sensitivity of the corresponding risk source according to the spatial position information and the three-dimensional model storing the corresponding risk source; According to the correlation weight value and the sensitivity result, the GIS geographic information data of the construction site of the large-scale tunnel rescue station is obtained, and the weight value of each risk source in the GIS geographic information data of the construction site of the large-scale tunnel rescue station is calculated according to the GIS geographic information data; The data processing unit compares the weight value corresponding to each risk source with the weight index of the characteristic parameter to obtain the risk source with a weight index greater than the characteristic parameter, and relocates the spatial position information of the risk source with a weight index greater than the characteristic parameter; the data processing unit outputs the relocated three-dimensional model storing the risk source to the risk assessment module; The data processing unit is also used to obtain construction information from each of the risk sources, and add the construction information to the corresponding three-dimensional model storing the risk source.

3. The large-scale tunnel rescue station construction risk assessment system according to claim 2 is characterized in that: The characteristic parameter is at least one of the following: a structural deformation parameter, a fracture seepage parameter, and a structural displacement parameter.

4. The large-scale tunnel rescue station construction risk assessment system according to claim 3 is characterized in that: The risk assessment module includes: Data conversion unit and risk assessment unit; After receiving the three-dimensional model storing the risk source, the data conversion unit extracts the risk information in the corresponding risk source and converts the risk information into the primary risk source and secondary risk source corresponding to the risk matrix; the primary risk source and the secondary risk source generate the GIS geographic information data of the construction site of the large tunnel rescue station; The risk assessment unit is used to calculate the mutual correlation between the main risk source and the secondary risk source based on the GIS geographic information data of the construction site of the large tunnel rescue station, and calculate the weight values ​​of the main risk source and the secondary risk source respectively according to the weight value of the risk source to obtain the weight value of the GIS geographic information data of the tunnel site; the risk assessment unit outputs the weight value of the GIS geographic information data of the construction site of the large tunnel rescue station to the risk control module for data processing.

5. The large-scale tunnel rescue station construction risk assessment system according to claim 4 is characterized in that: The risk information of the risk source includes the attributes, impact scope, and exposure degree of the primary risk source and the secondary risk source; The data conversion unit converts the risk information of the risk source, specifically including: generating a two-dimensional chart of three factors of attribute, impact range and exposure degree, and establishing a mapping table between the two-dimensional chart and the weight value of the risk source; The two-dimensional chart is represented in the form of primary risk sources and secondary risk sources, and the two-dimensional chart is represented in the form of a matrix to obtain corresponding correlation matrix values.

6. The large-scale tunnel rescue station construction risk assessment system according to claim 5 is characterized in that: The data conversion unit represents a two-dimensional chart in the form of a matrix, specifically including: inputting the main risk source and the attributes, influence scope, and exposure degree of the main risk source into a row list, and inputting the secondary risk source and the attributes, influence scope, and exposure degree of the secondary risk source into a column list; and inputting the average values ​​of the main risk source, the secondary risk source, and the attributes, influence scope, and exposure degree of the main risk source into a value list.

7. The large-scale tunnel rescue station construction risk assessment system according to claim 6 is characterized by: The risk source identification module adopts a dynamic update mechanism in the acquired GIS geographic information data to ensure that the identification of risk sources in the system can timely reflect changes in the on-site environment; The risk source calculation unit dynamically adjusts the sensitivity assessment of the risk source according to the spatial location information of the risk source and the progress of the construction stage.

8. The large-scale tunnel rescue station construction risk assessment system according to claim 7 is characterized by: The risk assessment unit in the risk assessment module, in addition to calculating based on the weight values ​​of the primary risk source and the secondary risk source, also combines the actual construction conditions on site; The risk matrix is ​​presented in stages according to different construction stages.

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