A railway tunnel intelligent construction method and system based on axis-plane collaboration

Abstract

This application discloses a method and system for intelligent construction of railway tunnels based on axial-plane collaboration, which relates to the technical field of railway tunnel construction. The method includes collecting geological survey data, face and borehole data of the construction area to establish a geological model; determining the stratigraphic characteristics based on field data and reconstructing the geological body through Monte Carlo simulation; verifying the geological information and borehole data in the reconstructed geological body to generate a reconstructed reference image; repairing the image with the help of an AI model until the reconstruction requirements are met, and generating a reconstructed geology of the blasting section; and finally, formulating a blasting construction plan based on the reconstructed geology and geological model to guide the automated operation of construction machinery. This application uses geological survey data as well as face and borehole data to predict and complete the geology of the strata ahead, making the blasting and construction design more reasonable.

Description

Technical Field

[0001] The present application relates to the technical field of railway tunnel construction, and in particular to a method and system for intelligent construction of railway tunnels based on axis-plane collaboration. Background Art

[0002] Drilling and blasting, a traditional method of tunnel construction, has been widely used in the construction of various types of tunnels. The various construction processes of this method have become relatively mature. The basic process of drilling and blasting includes exploration and design, drilling, charging, detonation, clearing and support, and inspection and acceptance. Conventional drilling and blasting construction often relies on limited geological data to carry out blasting and construction design. This approach results in relatively simplistic and crude designs that cannot fully meet the construction requirements of complex geological conditions. Therefore, to improve construction quality and efficiency, existing construction methods need to be improved and refined to adapt to the construction requirements of different geological conditions. Summary of the Invention

[0003] The purpose of this application is to provide an intelligent construction method and system for railway tunnels based on axis-plane collaboration, which can make blasting and construction design more reasonable.

[0004] To achieve the above objectives, this application provides the following solutions:

[0005] In a first aspect, the present application provides a method for intelligent construction of railway tunnels based on axis-plane collaboration, comprising:

[0006] Obtain geological survey data of the construction area, tunnel face data and drilling data at the construction site.

[0007] The geological survey data is used to perform geological modeling on the construction area to obtain a geological model of the construction area.

[0008] The distribution characteristics of the strata in front of the tunnel face are determined based on the tunnel face data and the drilling data at the construction site.

[0009] Based on the stratum distribution characteristics, the Monte Carlo simulation method is used to reconstruct the reconstruction surface geological body to obtain a reconstructed geological body; the position of the reconstruction surface is determined according to construction requirements.

[0010] The geological information corresponding to the reconstructed cross-section position in the reconstructed geological body is extracted, and the geological information is compared and verified with the drilling data.

[0011] When the verification passes, a reconstructed reference image is generated; when the verification fails, the steps are re-executed: based on the stratum distribution characteristics, the Monte Carlo simulation method is used to reconstruct the reconstructed surface geological body to obtain a reconstructed geological body; the reconstructed reference image is an image generated based on the geological information at the reconstructed section position.

[0012] The reconstructed reference image and the drilling data are simultaneously input into the AI ​​model for image repair and reconstruction. When the number of intermediate surfaces meets the reconstruction requirements, the reconstructed geology of the blasting section is generated; the intermediate surfaces are generated after the AI ​​model performs image reconstruction.

[0013] A blasting construction plan is formulated based on the reconstructed geology of the blasting section and the geological model of the construction area.

[0014] The blasting construction plan is used to guide construction machinery to perform automated operations.

[0015] In a second aspect, an intelligent railway tunnel construction system based on axis-plane collaboration is provided, the intelligent railway tunnel construction system comprising:

[0016] The survey and design module is used to obtain geological survey data of the construction area, tunnel face data and drilling data at the construction site.

[0017] The modeling module is used to perform geological modeling on the construction area using the geological survey data to obtain a geological model of the construction area.

[0018] The stratum analysis module is used to determine the stratum distribution characteristics in front of the tunnel face based on the tunnel face data and drilling data at the construction site.

[0019] The reconstruction module is used to reconstruct the reconstruction surface geological body based on the stratum distribution characteristics by using the Monte Carlo simulation method to obtain a reconstructed geological body; the position of the reconstruction surface is determined according to the construction requirements.

[0020] The verification module is used to extract geological information corresponding to the reconstructed cross-section position in the reconstructed geological body, and compare and verify the geological information with the drilling data.

[0021] When the verification passes, a reconstructed reference image is generated; when the verification fails, the steps are re-executed: based on the stratum distribution characteristics, the Monte Carlo simulation method is used to reconstruct the reconstructed surface geological body to obtain a reconstructed geological body; the reconstructed reference image is an image generated based on the geological information at the reconstructed section position.

[0022] The image restoration model is used to input the reconstructed reference image and the drilling data into the AI ​​model at the same time for image restoration and reconstruction. When the number of intermediate surfaces meets the reconstruction requirements, the reconstructed geology of the blasting section is generated; the intermediate surfaces are generated after the AI ​​model performs image reconstruction.

[0023] The construction plan formulation module is used to formulate a blasting construction plan based on the geological reconstruction of the blasting section and the geological model of the construction area.

[0024] The construction module uses the blasting construction plan to guide the construction machinery to perform automated operations.

[0025] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0026] This application provides a method and system for intelligent railway tunnel construction based on axial-plane collaboration. By automatically acquiring geological survey data, face data, and borehole data from the construction area, and using this data to perform geological modeling and determine stratigraphic distribution characteristics, the efficiency and accuracy of pre-construction preparation are improved. Monte Carlo simulation is used to reconstruct the reconstructed surface geological body, ensuring the accuracy and reliability of the reconstructed geological body. Furthermore, the accuracy of the reconstruction results is further ensured by extracting geological information from the reconstructed geological body and comparing it with the borehole data. The reconstructed reference image and the borehole data are simultaneously input into an AI model for image restoration and reconstruction, effectively handling complex conditions within the geological body. Based on the geological model of the blasting section and the construction area, an intelligent blasting construction plan is formulated, avoiding the limitations of traditional construction that relies on manual experience and judgment, and improving the rationality and reliability of the construction plan. The blasting construction plan is used to guide the automated operation of construction machinery, reducing the errors and risks caused by human operation and improving construction efficiency and safety. Throughout the construction process, through real-time monitoring and data feedback, the construction plan and operating parameters can be adjusted in a timely manner to ensure the smooth progress of the construction process and the compliance of construction quality standards. The intelligent construction method of railway tunnels based on axial-plane collaboration in this application integrates advanced geological modeling, Monte Carlo simulation, AI image restoration and reconstruction technologies, and realizes efficient, precise, intelligent and automated railway tunnel construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 A schematic flow chart of a method for intelligent construction of railway tunnels based on axis-plane collaboration provided in Example 1 of the present application.

[0029] Figure 2 A schematic diagram of a geological reconstruction process using AI-based cross-section modeling technology is provided in Example 1 of the present application.

[0030] Figure 3 This is a flowchart for reconstructing a surface geological body provided in Example 1 of this application.

[0031] Figure 4 This is a BIM model update flowchart provided in Example 1 of this application.

[0032] Figure 5 This is a system framework diagram for construction management provided in Example 1 of this application.

[0033] Figure 6 A schematic diagram of a railway tunnel intelligent construction system module based on axis-plane collaboration provided in Example 2 of the present application.

[0034] Figure 7 A schematic diagram of a railway tunnel intelligent construction system module based on axis-plane collaboration provided in Example 2 of the present application. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0036] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0037] Example 1

[0038] like Figure 1 As shown, this embodiment provides a railway tunnel intelligent construction method based on axis-plane collaboration, comprising the following steps:

[0039] Step 101: Obtain geological survey data of the construction area, tunnel face data and drilling data of the construction site.

[0040] Step 102: Perform geological modeling on the construction area using the geological survey data to obtain a geological model of the construction area.

[0041] Step 103: Determine the distribution characteristics of the strata in front of the tunnel face based on the tunnel face data and the drilling data at the construction site.

[0042] Step 104: Based on the stratum distribution characteristics, a Monte Carlo simulation method is used to reconstruct the reconstruction surface geological body to obtain a reconstructed geological body; the position of the reconstruction surface is determined according to construction requirements.

[0043] Step 105: extracting geological information of the actual drilling position on the cross section corresponding to the cross section position to be reconstructed in the reconstructed geological body, and comparing and verifying the geological information with the drilling data.

[0044] When the verification passes, a reconstructed reference image is generated; when the verification fails, the steps are re-executed: based on the stratum distribution characteristics, the Monte Carlo simulation method is used to reconstruct the reconstructed surface geological body to obtain a reconstructed geological body; the reconstructed reference image is an image generated based on the geological information at the reconstructed section position.

[0045] Step 106: The reconstructed reference image and the drilling data are simultaneously input into the AI ​​model for image restoration and reconstruction. When the number of intermediate surfaces meets the reconstruction requirements, the reconstructed geology of the blasting section is generated; the intermediate surfaces are generated after the AI ​​model performs image reconstruction.

[0046] Step 107: Reconstructing the geology of the blasting section and the geological model of the construction area to formulate a blasting construction plan.

[0047] Step 108: Using the blasting construction plan, guide the construction machinery to perform automated operations.

[0048] In some implementations of this embodiment, when executing steps 101-103, the specific steps may be as follows:

[0049] Before construction begins, surveyors conduct surveys of the geology, topography, groundwater, and underground facilities, generating geological survey materials that serve as the foundation for project design and construction. Geological surveys require detailed investigation and analysis of the underground geological environment, including stratigraphic structure, lithology, and groundwater levels. Topographic surveys measure and record the topography and geomorphic features above the tunnel surface to inform the design of tunnel routes and entrances and exits. Groundwater surveys investigate groundwater levels, flow direction, and quality, assessing their impact on tunnel construction and operation. Underground facility surveys identify the location and layout of underground pipelines, cables, and other facilities to avoid conflicts and damage during construction.

[0050] Utilizing geological survey data, 3D geological models can be constructed. This not only visualizes existing data, facilitating the design of subsequent construction plans, but also provides initial data for subsequent intelligent geological modeling.

[0051] Then, during construction, on-site tunnel face and borehole data are collected to analyze and study the distribution characteristics of the strata ahead of the tunnel face. Specific stratum distribution characteristics include, but are not limited to, thickness, lithology, dip, and inclination. These parameters are crucial for subsequent tunnel excavation, support, and blasting design. By analyzing the drillhole data and the strata revealed at the tunnel face, the distribution of the strata in three dimensions can be accurately depicted, providing strong support for subsequent intelligent construction.

[0052] In some implementations of this embodiment, when executing steps 104-106, the specific steps may be as follows:

[0053] Geological reconstruction using AI-based cross-section modeling technology.

[0054] Specifically, during construction, due to insufficient geological exploration accuracy, it was impossible to design the geology of each excavation face accordingly, resulting in a relatively rough and general construction design. Therefore, AI-based cross-section modeling technology was used to reconstruct the geology.

[0055] The specific flow chart of geological reconstruction is as follows Figure 2 and Figure 3 As shown, the construction is further intelligentized and refined under the overall construction design.

[0056] First, during construction, on-site tunnel face and borehole data are collected. Detailed information, such as the rock composition, joint development, and surrounding rock classification, ahead of the tunnel face is analyzed and studied to generate a borehole connection surface. Based on the specific construction requirements, the location of the required reconstruction surface is determined. At this location, Monte Carlo simulation is used to assign attributes to the rock strata on the reconstruction surface, reconstructing the geological body on the reconstructed surface. The Sobel operator is a computer-generated edge detection algorithm. In stratigraphic identification, it can be used to determine whether the reconstructed rock mass's geological stratification edge information conforms to reality. Therefore, after reconstruction, the Sobel operator is used to verify the geological body using a model of a reference borehole. Geological information from the actual borehole location on the section of the geological body corresponding to the location of the reconstructed section is extracted and compared with the measured borehole data. If the result fails, the simulation is repeated. If the result passes, the geological information corresponding to the next section to be reconstructed is extracted as a reference image for the reconstructed section and fed into the AI ​​model along with the borehole data. The AI ​​model then reconstructs the section and determines whether the reconstruction meets the requirements. If not, the location of the next reconstruction surface is randomly determined (not overlapping with the already reconstructed section). By learning from the reference image information, AI can generate the required cross-sections and perform image restoration and reconstruction. This process is repeated to obtain multiple reconstructed intermediate surfaces. When the number of intermediate surfaces reaches the reconstruction requirement, the blasting section reconstruction geology is generated, completing the modeling of the continuous cross-section of the stratum and the geological reconstruction is complete.

[0057] When executing steps 107-108, the specific steps may be as follows:

[0058] The blasting construction plan is used to guide the construction machinery to perform automated operations, specifically including:

[0059] Obtain a component library and parameter list for the blasting construction plan; the component library includes blasting equipment, blasting materials, geological components, and structural components. Specifically, during blasting excavation construction, the blasting equipment, blasting materials, geological components, structural components, etc. in the component library need to be properly scheduled.

[0060] Based on the component library and the parameter list, a BIM model of the blasting construction plan is constructed.

[0061] Use RFID positioning technology to obtain construction information and component information.

[0062] Based on BIM automatic update technology, construction information and component information are imported into the BIM model to obtain an updated BIM model.

[0063] Based on the updated BIM model, construction machinery is guided to perform automated operations.

[0064] Specifically, after constructing the BIM model of the blasting construction plan based on the component library and the parameter list, the method further includes:

[0065] The drill and blast BIM parametric modeling technology is used to perform target annotation on the BIM model to obtain a labeled BIM model; the target annotation includes stage annotation, process annotation and task annotation.

[0066] Specifically, based on BIM automatic update technology, construction information and component information are imported into the BIM model to obtain an updated BIM model, such as Figure 4 shown.

[0067] Among them, BIM models such as Figure 5 As shown, to fully leverage the management capabilities of the BIM model, a checklist generation and division process was implemented. Specifically, based on the EBS management system, the model was broken down into project BIM models, section BIM models, work area BIM models, discipline BIM models, unit project BIM models, sub-project BIM models, inspection batch BIM models, and component BIM models. To connect the decomposed multi-disciplinary, multi-level BIM models with each process and facilitate management within each process, multiple checklists were developed for drill-and-blast tunnel construction based on the needs of different functional personnel. This clearly organized the construction production and management elements of each process. During the checklist generation phase, signal transmitters were embedded in the divided construction components. RFID positioning technology was used during construction to scan, identify, and locate the installed components. This data was uploaded to the BIM model for automated updates and lightweight display technology, guiding the development of the BIM model during construction.

[0068] After the checklist is generated and divided, the EBS management system is integrated. First, the tunnel BIM model work points are divided, typically into entry, exit, open-cut section work points, various working surface work points, and auxiliary tunnel work points. Next, the tunnel BIM model components are decomposed. The lining can be broken down into concrete, rebar, backfill grouting, integrated grounding, and settlement observation and assessment; concrete can be further broken down into arch walls, base plates, inverts, invert filling, and steps. Finally, EBS codes are assigned to BIM components and added to the model as attributes. After the BIM model is established and updated, personnel in different positions can select different checklists as needed and retrieve relevant information from the BIM model, facilitating functional management for personnel with different responsibilities and positions. This achieves precise mapping between BIM models and checklist elements, and integrated management of models and data. This intelligent construction method and system enables axial collaborative management throughout the construction process and multi-process collaborative construction.

[0069] Example 2

[0070] This embodiment provides a railway tunnel intelligent construction system based on axis-plane collaboration, including:

[0071] The survey and design module 601 is used to obtain geological survey data of the construction area, tunnel face data and drilling data of the construction site.

[0072] The modeling module 602 is configured to perform geological modeling on the construction area using the geological survey data to obtain a geological model of the construction area.

[0073] The stratum analysis module 603 is used to determine the stratum distribution characteristics in front of the tunnel face based on the tunnel face data and drilling data at the construction site.

[0074] The reconstruction module 604 is used to reconstruct the reconstruction surface geological body based on the stratum distribution characteristics by using the Monte Carlo simulation method to obtain a reconstructed geological body; the position of the reconstruction surface is determined according to the construction requirements.

[0075] The verification module 605 is used to extract geological information corresponding to the reconstructed cross-section position in the reconstructed geological body, and compare and verify the geological information with the drilling data.

[0076] When the verification passes, a reconstructed reference image is generated; when the verification fails, the steps are re-executed: based on the stratum distribution characteristics, the Monte Carlo simulation method is used to reconstruct the reconstructed surface geological body to obtain a reconstructed geological body; the reconstructed reference image is an image generated based on the geological information at the reconstructed section position.

[0077] The image restoration model 606 is used to input the reconstructed reference image and the drilling data into the AI ​​model simultaneously for image restoration and reconstruction. When the number of intermediate surfaces meets the reconstruction requirements, the reconstructed geology of the blasting section is generated; the intermediate surfaces are generated after the AI ​​model performs image reconstruction.

[0078] The construction plan formulation module 607 is used to formulate a blasting construction plan based on the geological reconstruction of the blasting section and the geological model of the construction area.

[0079] In the construction module 608, the blasting construction plan is used to guide the construction machinery to perform automated operations.

[0080] In this embodiment, the construction module is a module that ultimately guides construction by combining intelligent geological modeling and updating technology with drill-and-blast BIM parametric rapid modeling technology. Intelligent geological modeling and updating technology utilizes AI technology to finely reconstruct geological information within a short distance ahead of the excavation face using geological information obtained through advance drilling during construction. This technology supplements the geological model established by the survey and design module, providing more accurate geological data for construction design. As a key tool in current construction management, BIM technology plays a vital role in integrating data with construction collaboration, visualizing construction processes, and managing and maintaining construction. The BIM parametric model for drill-and-blast tunnel construction should be modeled with reference to a component library and parameter list. The component library includes blasting equipment, blasting materials, geological components, structural components, etc. The parameter list includes equipment parameters, material parameters, geological parameters, structural parameters, etc. During construction, components in progress or newly constructed are located using RFID technology. Scanning the RFID tags in the components automatically captures component information and uploads it to a computer terminal. Integrating BIM automated update technology allows for rapid import of construction and component information into the BIM model, enabling rapid updates of model information and intelligent management of each construction process. The detailed process is shown in the figure below. For example, during blasting, updated blasting designs can be promptly fed back into the blasting operation, effectively reducing over-excavation and under-excavation.

[0081] Specifically, the construction module includes:

[0082] The parameter acquisition submodule is used to obtain the component library and parameter list of the blasting construction plan.

[0083] The model building submodule is used to build a BIM parametric model of the blasting construction plan based on the component library and the parameter list.

[0084] The information acquisition submodule is used to obtain construction information and component information using RFID positioning technology.

[0085] The model update submodule is used to import construction information and component information into the BIM model based on BIM automated update technology to obtain an updated BIM model.

[0086] The construction guidance submodule is used to guide construction machinery to perform automated operations based on the updated BIM model.

[0087] The construction module also includes: a model marking submodule, which is used to use the drill and blast BIM parametric modeling technology to perform target marking on the BIM model to obtain a marked BIM model; the target marking includes stage marking, process marking and task marking.

[0088] In some embodiments, as Figure 7 As shown, the survey and design module is where surveyors conduct exploration and investigation of geology, topography, groundwater, underground facilities, and other aspects. Geological surveys require detailed investigation and analysis of the underground geological environment, including stratigraphic structure, lithology, and groundwater levels. Topographic surveys measure and record the topography and geomorphic features above the tunnel surface, providing a reference for designing tunnel routes and entrances and exits. Groundwater surveys investigate groundwater levels, flow direction, and quality, assessing their impact on tunnel construction and operation. Underground facility surveys determine the location and layout of underground pipelines, cables, and other facilities to avoid conflicts and damage during construction. The geological survey data generated after the survey helps engineers gain a comprehensive understanding of various underground factors and develop appropriate construction plans.

[0089] In some embodiments, as Figure 7As shown, the construction management module provides intelligent and dynamic management of the entire construction process. To scientifically and comprehensively manage the project construction process, the construction module lists construction tasks from three perspectives: construction management elements, construction production elements, and process elements. Construction management elements include environmental protection, investment, progress, safety, and quality; construction production elements include individuals and organizations, construction equipment and sensor detection equipment, construction materials and data, technical methods and regulations, the natural, social, and operating environments, measurement objects, and time (referred to as man-machine-material-method-environment-measurement-time); and process elements include excavation, initial support, waterproofing, and secondary lining. Each construction link can be mapped to elements in the three modules, providing a basis for defining the qualitative, quantitative, and timing characteristics of construction management tasks. After the list is generated and divided, it is integrated with the EBS management system to divide the tunnel BIM model into work points, decompose the tunnel BIM model components, and finally assign EBS codes to the BIM components. By integrating the entire checklist system framework into the BIM model, EBS and BIM are integrated. This leverages the management advantages of EBS and the complete and clear data provided by BIM, integrating building data with other information required for project management and providing real-time, accurate guidance for project construction management. RFID signal transmitters can be pre-installed in the engineering components identified in the checklist, paving the way for rapid BIM model updates.

[0090] In summary, this application has the following technical effects:

[0091] 1. An intelligent reconstruction method for tunnel geological information based on multi-source information fusion uses geological survey data as well as face and borehole data to predict and complete the geology of the strata ahead, ultimately using more detailed geological data to guide construction design.

[0092] 2. Based on BIM's rapid modeling technology, RFID is used to scan and upload the completed processes and structures during construction, which can quickly complete the establishment of the BIM model, accelerate the update of the BIM model, and ultimately provide guidance for construction.

[0093] 3. Based on the checklist used during construction management, the construction management elements and construction production elements of each process are sorted out and divided, and corresponded to the multi-professional and multi-level BIM model after EBS decomposition, ultimately achieving intelligent management of the project.

[0094] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0095] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A railway tunnel intelligent construction method based on axis-plane coordination, characterized in that: The railway tunnel intelligent construction method comprises: Obtain geological survey data of the construction area, tunnel face data and drilling data at the construction site; Performing geological modeling on the construction area using the geological survey data to obtain a geological model of the construction area; Determining the distribution characteristics of the strata in front of the tunnel face based on the tunnel face data and drilling data at the construction site; Based on the stratum distribution characteristics, the Monte Carlo simulation method is used to reconstruct the reconstruction surface geological body to obtain a reconstructed geological body; the position of the reconstruction surface is determined according to the construction requirements; Extracting geological information corresponding to the reconstructed cross-section position in the reconstructed geological body, and comparing and verifying the geological information with the drilling data; When the verification passes, a reconstructed reference image is generated; when the verification fails, the step of reconstructing the reconstructed surface geological body using a Monte Carlo simulation method based on the stratum distribution characteristics to obtain a reconstructed geological body is repeated; the reconstructed reference image is an image generated based on the geological information at the reconstructed cross-section position; The reconstructed reference image and the drilling data are simultaneously input into the AI ​​model for image restoration and reconstruction. When the number of intermediate surfaces reaches the reconstruction requirement, the reconstructed geology of the blasting section is generated; the intermediate surfaces are generated by the AI ​​model after performing image reconstruction; Formulate a blasting construction plan based on the geological reconstruction of the blasting section and the geological model of the construction area; The blasting construction plan is used to guide construction machinery to perform automated operations.

2. The intelligent railway tunnel construction method based on axis-plane coordination according to claim 1 is characterized in that: The blasting construction plan is used to guide the construction machinery to perform automated operations, specifically including: Obtain the component library and parameter list of the blasting construction plan; Constructing a BIM model of the blasting construction plan based on the component library and the parameter list; Use RFID positioning technology to obtain construction information and component information; Based on BIM automated update technology, construction information and component information are imported into the BIM model to obtain an updated BIM model; Based on the updated BIM model, construction machinery is guided to perform automated operations.

3. The intelligent railway tunnel construction method based on axis-plane coordination according to claim 2 is characterized in that: After constructing the BIM parametric model of the blasting construction plan based on the component library and the parameter list, the method further includes: The drill and blast BIM parametric modeling technology is used to perform target annotation on the BIM model to obtain a labeled BIM model; the target annotation includes stage annotation, process annotation and task annotation.

4. The intelligent railway tunnel construction method based on axis-plane coordination according to claim 2 is characterized in that: The component library includes blasting equipment, blasting materials, geological components and structural components.

5. The intelligent railway tunnel construction method based on axis-plane coordination according to claim 2 is characterized in that: The parameter list includes equipment parameters, material parameters, geological parameters and structural parameters.

6. The intelligent railway tunnel construction method based on axis-plane coordination according to claim 1 is characterized in that: The geological survey data include stratum structure, lithology, groundwater level and underground facilities.

7. The intelligent railway tunnel construction method based on axis-plane coordination according to claim 1 is characterized in that: The stratum distribution characteristics include rock composition, joint surface development degree and surrounding rock classification.

8. An intelligent railway tunnel construction system based on axis-plane collaboration, characterized in that: The railway tunnel intelligent construction system includes: The survey and design module is used to obtain geological survey data of the construction area, tunnel face data and drilling data at the construction site; A modeling module, configured to perform geological modeling on the construction area using the geological survey data to obtain a geological model of the construction area; a stratum analysis module, configured to determine stratum distribution characteristics in front of the tunnel face based on tunnel face data and drilling data at the construction site; A reconstruction module is used to reconstruct the reconstruction surface geological body based on the stratum distribution characteristics by using the Monte Carlo simulation method to obtain a reconstructed geological body; the position of the reconstruction surface is determined according to the construction requirements; a verification module, configured to extract geological information corresponding to a reconstructed cross-section position in the reconstructed geological body, and compare and verify the geological information with the drilling data; When the verification passes, a reconstructed reference image is generated; when the verification fails, the step of reconstructing the reconstructed surface geological body using a Monte Carlo simulation method based on the stratum distribution characteristics to obtain a reconstructed geological body is repeated; the reconstructed reference image is an image generated based on the geological information at the reconstructed cross-section position; An image restoration model is configured to simultaneously input the reconstructed reference image and the drilling data into an AI model for image restoration and reconstruction, and generate a blasting section reconstructed geology when the number of intermediate surfaces meets the reconstruction requirement; the intermediate surfaces are generated by the AI ​​model after performing image reconstruction; A construction plan formulation module is used to formulate a blasting construction plan based on the geological reconstruction of the blasting section and the geological model of the construction area; The construction module uses the blasting construction plan to guide the construction machinery to perform automated operations.

9. The railway tunnel intelligent construction system based on axis-plane coordination according to claim 8, characterized in that: The construction module specifically includes: The parameter acquisition submodule is used to obtain the component library and parameter list of the blasting construction plan; A model building submodule, for building a BIM model of the blasting construction plan based on the component library and the parameter list; The information acquisition submodule is used to obtain construction information and component information using RFID positioning technology; The model update submodule is used to import construction information and component information into the BIM model based on BIM automated update technology to obtain an updated BIM model; The construction guidance submodule is used to guide construction machinery to perform automated operations based on the updated BIM model.

10. The railway tunnel intelligent construction system based on axis-plane coordination according to claim 8, characterized in that: The construction module also includes: a model marking submodule, which is used to use the drill and blast BIM parametric modeling technology to perform target marking on the BIM model to obtain a marked BIM model; the target marking includes stage marking, process marking and task marking.

Images