Railway tunnel intelligent construction method and system based on axial surface collaboration

Abstract

The invention discloses a railway tunnel intelligent construction method and system based on axial plane collaboration, and relates to the technical field of railway tunnel construction.The method comprises the steps that geological exploration data and tunnel face and drilling data of a construction area are collected, and a geological model is established; determining stratum characteristics based on the field data, and reconstructing a geologic body through a Monte Carlo simulation method; geological information and drilling data in the reconstructed geologic body are verified, and a reconstructed reference image is generated; repairing the image by means of an AI model until a reconstruction requirement is met, and generating a blasting section reconstruction geology; finally, according to the reconstructed geology and geologic model, a blasting construction scheme is formulated, and automatic operation of construction machinery is guided. According to the method, the geological exploration data and the tunnel face and drilling data are utilized to predict and complement the front stratum geology, so that the blasting and construction design is more reasonable.

Description

Technical Field

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

[0002] As a traditional method of tunnel construction, drilling and blasting has been widely used in the construction of various types of tunnels. So far, the construction technology of various processes of drilling and blasting has been relatively mature. The basic processes of drilling and blasting are divided into exploration and design, drilling, charging, detonation, cleaning and support, inspection and acceptance. In the conventional drilling and blasting construction process, blasting and construction design work are usually carried out based on limited geological survey data. This approach makes the design plan relatively simple and rough, and cannot fully meet the construction needs under complex geological conditions. Therefore, in order to improve the construction quality and efficiency, it is necessary to improve and perfect the existing construction methods to meet the construction requirements under 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 coordination, 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 railway tunnel intelligent construction method based on axis-plane collaboration, comprising:

[0006] Obtain geological survey data of the construction area, and 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 stratum distribution characteristics in front of the tunnel face are determined according to 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 geological body of the reconstruction surface to obtain a reconstructed geological body; the position of the reconstruction surface is determined according to the construction requirements.

[0010] The geological information corresponding to the reconstructed 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 stratigraphic 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 reaches the reconstruction requirement, 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, a railway tunnel intelligent construction system based on axis-plane coordination is provided, wherein the railway tunnel intelligent construction system comprises:

[0016] The survey and design module is used to obtain geological survey data of the construction area, and the face data and drilling data of 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 according to the tunnel face data and drilling data of 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 the 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 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 stratigraphic 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 reaches the reconstruction requirement, 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] The present application provides a railway tunnel intelligent construction method and system based on axis-surface collaboration, which improves the efficiency and accuracy of pre-construction preparation by automatically acquiring geological survey data, face data and drilling data in the construction area, and determining geological modeling and stratum distribution characteristics based on these data; the Monte Carlo simulation method is used to reconstruct the reconstructed surface geological body, ensuring the accuracy and reliability of the reconstructed geological body. At the same time, the accuracy of the reconstruction result is further ensured by extracting geological information from the reconstructed geological body and comparing and verifying it with the drilling data; the reconstructed reference image and the drilling data are simultaneously input into the AI ​​model for image repair and reconstruction, which can effectively handle the complex situation in the geological body; according to the geological model of the blasting section reconstruction and the construction area, the blasting construction plan is intelligently formulated, avoiding the limitations of relying on manual experience and judgment in traditional construction, and improving the rationality and reliability of the construction plan; using the blasting construction plan to guide the construction machinery to perform automated operations, reducing the errors and risks caused by human operation, and improving the construction efficiency and safety; during the entire construction process, through real-time monitoring and data feedback, the construction plan and operation parameters can be adjusted in time to ensure the smooth progress of the construction process and the compliance of the construction quality. The intelligent construction method of railway tunnels based on axis-plane collaboration in this application realizes efficient, precise, intelligent and automated railway tunnel construction by integrating advanced geological modeling, Monte Carlo simulation, AI image restoration and reconstruction technologies. 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 drawings required for use in the embodiments will be briefly introduced below. 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 paying 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 the present application.

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

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

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

[0034] Figure 7 A schematic diagram of a module of an intelligent railway tunnel construction system 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 the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0036] In order to make the above-mentioned objects, 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] Embodiment 1

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

[0039] Step 101: Obtain geological survey data of the construction area, and 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 stratum distribution characteristics in front of the tunnel face according to the tunnel face data and the drilling data at the construction site.

[0042] Step 104: 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.

[0043] Step 105: extracting geological information of the actual exploration hole 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 stratigraphic 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 reaches the reconstruction requirement, 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, surveyors will conduct surveys on geology, topography, groundwater, underground facilities, etc. to form geological survey materials as the basic materials for project design and construction. Geological surveys require detailed investigation and analysis of the underground geological environment, including stratigraphic structure, lithology, groundwater level, etc. Topographic surveys require measuring and recording the topography and geomorphic features above the tunnel surface to provide a reference for the design of tunnel routes and entrances and exits. Groundwater surveys require investigations of groundwater levels, water flow directions, and water quality to assess the impact of groundwater on tunnel construction and operation. Underground facility surveys require the identification of the location and layout of underground pipelines, cables, and other facilities to avoid conflicts and damage during construction.

[0050] The geological model can be 3D modeled using geological survey data. On the one hand, the existing data can be visualized to facilitate the design of subsequent construction plans. On the other hand, the geological model formed by the geological survey data can provide initial data for subsequent intelligent geological modeling.

[0051] Then, during construction, the on-site face and drilling data are collected to analyze and study the distribution characteristics of the strata in front of the face. The specific strata distribution characteristics include but are not limited to the thickness, lithology, inclination, inclination and other parameters of the rock formation. These parameters are crucial for subsequent tunneling, support and blasting design. By analyzing the drilling data and the strata exposed by the face, the distribution of the strata in three-dimensional space 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 the lack of accuracy in geological exploration, it is impossible to carry out corresponding design for each excavation surface geology, so the construction design is relatively general and rough. Therefore, the cross-section modeling technology based on AI is 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 the construction, the on-site face and borehole data are collected, and the detailed information such as the rock composition, joint surface development degree, surrounding rock classification, etc. in front of the face is analyzed and studied to generate the exploration hole connection surface. According to the specific construction requirements, the location of the required reconstruction surface is determined, and the Monte Carlo simulation method is used at this location to assign attributes to the rock layer on the reconstruction surface, and the geological body of the reconstruction surface is reconstructed. The Sobel operator is an algorithm for detecting edges in the computer field. In stratum identification, it can detect whether the edge information of the reconstructed rock geological stratification conforms to the actual situation. Therefore, after the geological body is reconstructed, the Sobel operator needs to be used to test it based on the model of the reference exploration hole. The geological information of the actual exploration hole position on the section corresponding to the section position to be reconstructed in the geological body is extracted and compared with the measured exploration hole data for verification. If it fails, it is re-simulated. If it passes, the geological information corresponding to the next section position to be reconstructed is extracted as the reference image of the reconstructed section and input into the AI ​​model at the same time with the drilling data. The AI ​​model reconstructs the section and determines whether the reconstruction of the geological body meets the requirements. If it does not meet the requirements, the position of the next reconstruction surface is randomly determined (not overlapping with the reconstructed section). By learning the reference image information, AI can generate the required cross-section and perform image repair and reconstruction. Repeating this process can obtain multiple reconstructed intermediate surfaces. When the number of intermediate surfaces reaches the reconstruction requirement, the blasting section reconstructed geology will be generated, the modeling of the continuous cross-section of the stratum will be completed, and the geological reconstruction will be completed.

[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 the component library and parameter list of the blasting construction plan; the component library includes blasting equipment, blasting materials, geological components and structural components. Specifically, in blasting excavation construction, reasonable scheduling of blasting equipment, blasting materials, geological components, structural components, etc. in the component library is required.

[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, the 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, it also includes:

[0065] The drilling and blasting 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, the 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 in the figure, in order to give full play to the management role of BIM model, list generation and division are carried out. Specifically, it is decomposed into project BIM model, section BIM model, work area BIM model, professional BIM model, unit engineering BIM model, sub-project BIM model, inspection batch BIM model and zero component BIM model based on EBS management system. In order to realize the connection between the decomposed multi-professional and multi-level BIM model and each process and facilitate the management within each process, the drilling and blasting tunnel construction is divided into multiple lists according to the needs of different functional personnel, and the construction production elements and construction management elements of each process are clearly sorted out. In the list generation link, the divided construction components are buried in the signal transmitter, and the RFID positioning technology is used to scan and identify the installed components during construction. The data is uploaded to the BIM model for automatic update and lightweight display technology, which plays a guiding role in the construction of BIM models in construction.

[0068] After the list is generated and divided, combined with the EBS management system, first of all, the tunnel BIM model work points are divided, which are usually divided into entrance, exit, open hole section work points, various working surface work points, auxiliary tunnel work points, etc. Secondly, the tunnel BIM model components are decomposed. The lining can be decomposed into concrete, steel bars, backfill grouting, comprehensive grounding, settlement observation and evaluation; concrete can be further decomposed into arch wall, bottom plate, invert, invert filling, and step. Finally, the BIM components are given EBS codes, and the EBS codes are added to the model in the form of attribute attachment. After completing the establishment and update system of the BIM model, personnel in different positions can select different lists according to their needs and retrieve corresponding information from the BIM model, which is convenient for personnel with different responsibilities and positions to perform functional management. Accurate mapping of BIM models and list elements, and integrated management of models and data are achieved. A set of intelligent construction methods and systems that realize axial collaborative management of the entire construction process and multi-process collaborative construction are realized.

[0069] Embodiment 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, and the tunnel face data and drilling data of the construction site.

[0072] The modeling module 602 is used 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 according to the tunnel face data and drilling data of 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 stratigraphic 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 reaches the reconstruction requirement, 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 combines intelligent geological modeling update technology and drilling and blasting BIM parametric rapid modeling technology to ultimately guide construction. Intelligent geological modeling update technology uses AI technology to finely reconstruct geological information in the short distance in front of the excavation face using geological information obtained from advanced drilling during construction, supplements data for the geological model established by the survey and design module, and provides more accurate geological data for construction design. As an important tool for construction management today, BIM technology plays an important role in integrating data and construction collaboration, construction procedures and visualization, construction management and maintenance, etc. The BIM parametric model for drilling and blasting tunnel construction should be modeled with reference to the component library and parameter list, where the component library includes blasting equipment, blasting materials, geological components, structural components, etc., and the parameter list includes: equipment parameters, material parameters, geological parameters, structural parameters, etc. During the construction process, the components in progress or newly built will be located using RFID positioning technology, and the RFID tags in the components will be scanned by a scanning instrument to automatically obtain component information and upload the information to the computer terminal. Combined with BIM automatic update technology, construction information and component information are quickly imported into the BIM model to achieve rapid update of model information and intelligent management of each construction process. The specific process is shown in the figure below. For example, during the blasting process, the updated blasting design can be fed back to the blasting construction in a timely manner, which can effectively reduce 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 automatic update technology to obtain an updated BIM model.

[0086] The construction guidance submodule is used to guide the 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 drilling and blasting 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, Figure 7 As shown in the figure, the survey and design module is a module for surveyors to conduct exploration and investigation of geology, topography, groundwater, underground facilities, etc. Among them, geological survey requires detailed investigation and analysis of the underground geological environment, including stratum structure, lithology, groundwater level, etc. Topographic survey requires measuring and recording the topography and geomorphic features above the tunnel surface to provide a reference for the design of tunnel routes and entrances and exits. Groundwater survey requires investigating the groundwater level, water flow direction and water quality, and evaluating the impact of groundwater on tunnel construction and operation. Underground facility investigation requires finding out the location and layout of underground pipelines, cables and other facilities to avoid conflicts and damage during construction. The geological survey data formed after the survey can help engineers fully understand various underground factors and formulate appropriate construction plans.

[0089] In some embodiments, Figure 7As shown in the figure, the construction management module is a module for intelligent dynamic management of the entire construction process. In order to scientifically and comprehensively manage the construction process of the project, the construction module divides the construction tasks from three perspectives: construction management elements, construction production elements, and processes. Among them, the construction management elements include: environmental protection, investment, progress, safety, quality, etc.; the construction production elements include: natural persons and organizational units, construction equipment and sensor detection equipment, construction materials and data, technical methods and regulations, natural environment, social environment and working environment, measurement objects, and time. (Abbreviated as man-machine-material-method-environment-measurement-time); the process includes: excavation, initial support, waterproofing, secondary lining, etc. Each construction link can be located in the elements of the three modules, which provides a basis for the qualitative, quantitative, timing and various attributes of the tasks in construction management. After the generation and division of the list, combined with the EBS management system, the tunnel BIM model work points are divided, the tunnel BIM model components are decomposed, and finally the BIM components are given EBS codes. In this way, the entire inventory system framework is imported into the BIM model, and EBS and BIM are integrated for management. This can give full play to the advantages of EBS management and the advantages of BIM data completeness and clarity, integrate building data with other information required for project management, and provide real-time and accurate guidance for project construction management. The engineering components divided in the inventory can be embedded with the signal transmitters required by RFID technology in advance, laying a good foundation for the rapid update of the BIM model.

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

[0091] 1. Based on the intelligent reconstruction method of tunnel geological information by multi-source information fusion, the geological survey data as well as the face and drilling data are used to predict and complete the geology of the strata ahead, and finally more detailed geological data are used to guide the 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 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, so as to finally achieve intelligent management of the project.

[0094] The technical features of the above embodiments may 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 article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will 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, face data and drilling data of the construction site; Performing geological modeling on the construction area using the geological survey data to obtain a geological model of the construction area; Determine the distribution characteristics of the strata in front of the tunnel face according to the tunnel face data and the 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 is passed, a reconstructed reference image is generated; when the verification is not passed, the step is 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 position of the reconstructed section; The reconstructed reference image and the drilling data are simultaneously input into the AI ​​model for image restoration and reconstruction, and when the number of intermediate surfaces reaches the reconstruction requirement, the reconstructed geology of the blasting section is generated; the intermediate surface is generated after the AI ​​model performs image reconstruction; Formulate a blasting construction plan based on the reconstructed geology 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 construction method of railway tunnel 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; Based on the component library and the parameter list, construct a BIM model of the blasting construction plan; Use RFID positioning technology to obtain construction information and component information; Based on BIM automatic update technology, the 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 construction method of railway tunnel 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 drilling and blasting 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 construction method of railway tunnel 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 construction method of railway tunnel 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 construction method of railway tunnel 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 construction method of railway tunnel based on axis-plane coordination according to claim 1 is characterized in that: The stratigraphic distribution characteristics include rock composition, degree of joint surface development and surrounding rock classification.

8. An intelligent railway tunnel construction system based on axis-plane coordination, characterized in that: The railway tunnel intelligent construction system comprises: Survey and design module, used to obtain geological survey data of the construction area, face data and drilling data of the construction site; A modeling module, used 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, used to determine the stratum distribution characteristics in front of the tunnel face according to the tunnel face data and drilling data of the construction site; A reconstruction module is used to reconstruct the geological body of the reconstruction surface by using the Monte Carlo simulation method based on the stratum distribution characteristics to obtain a reconstructed geological body; the position of the reconstruction surface is determined according to the construction requirements; A verification module, used for extracting geological information corresponding to the reconstructed section position in the reconstructed geological body, and comparing and verifying the geological information with the drilling data; When the verification is passed, a reconstructed reference image is generated; when the verification is not passed, the step is 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 position of the reconstructed section; An image restoration model is used to input the reconstructed reference image and the drilling data into an AI model simultaneously for image restoration and reconstruction, and to generate a blasting section reconstructed geology when the number of intermediate surfaces reaches the reconstruction requirement; the intermediate surfaces are generated after the AI ​​model performs image reconstruction; A construction plan formulation module, 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 is 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, used to build 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 by using RFID positioning technology; The model update submodule is used to import the construction information and component information into the BIM model based on the BIM automatic update technology to obtain the updated BIM model; The construction guidance submodule is used to guide the 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 drilling and blasting 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.

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