BIM + GIS model generation and dynamic updating method for curtain grouting engineering

Abstract

The invention provides a BIM + GIS model generation and dynamic updating method for curtain grouting engineering, and relates to the technical field of grouting engineering geologic model dynamic modeling. According to the method, a static engineering-geology integrated model is established by unifying a coordinate system and a coding system, and a fracture network model is dynamically generated based on data in a construction stage. According to the method, the small fracture network is corrected through pressurized water and slurry seepage data, and high-precision grouting geologic modeling is achieved. Compared with a traditional method, the model updating efficiency is remarkably improved, multi-scale fracture analysis is supported, and it is ensured that dynamic changes are closely combined with actual construction data.

Description

Technical Field

[0001] The present invention relates to the technical field of dynamic modeling of geological models for grouting projects, and in particular to a BIM+GIS model generation and dynamic updating method for curtain grouting projects. Background Art

[0002] Bedrock curtain grouting is a common anti-seepage method used in hydraulic engineering projects. It uses cement or chemical grout to seal fracture networks in the bedrock, thereby blocking leakage pathways and reducing seepage and uplift pressure behind the curtain. Therefore, the essence of curtain grouting is to modify geological conditions through engineering means. However, due to the uncertainty of bedrock geological conditions, the most notable characteristic of bedrock grouting is its hidden nature, making it difficult to visually assess the geological conditions before and after grouting. Traditional grouting projects have a low level of digitization, and the management of a large amount of basic construction data remains at the manual recording and spreadsheet stage. The massive amount of data generated by the project is not fully mined and utilized. Relying solely on the limited geological exploration drilling and adit during the geological survey phase cannot meet the requirements of high-precision geological modeling. With the deployment and application of intelligent grouting systems, grouting construction data can be timely organized and analyzed through electronic information technology, and used to dynamically update grouting geological models, thereby reducing the hidden nature of grouting projects.

[0003] In recent years, a wave of digital transformation has emerged in the infrastructure construction sector, with the widespread application of BIM+GIS models being a prominent feature. BIM+GIS models are generally implemented through unified engineering and geological coordinates and unified EBS model component coding. Aboveground projects, with their primary building components located above ground, are relatively well-defined and require less geological information, making BIM+GIS applications more readily applicable. However, underground projects often involve more complex geological information, including topography, stratigraphic formations, and geological structures. Generating BIM+GIS models for these projects is more challenging, leading to limited application in engineering practice. In particular, high-precision geological models of components along the curtain axis often require consideration of millions of discontinuous structural surfaces of varying sizes. These surfaces, including their size, occurrence, aperture, filling, and even determinism, are constantly updated as the project progresses and construction data is iterated. In the paper "Visual Analysis of Dam Foundation Grouting Projects Based on 3D Geological Models," researchers describe a method for processing collected grouting data using Hibernate and Struts technologies, then converting this data into 3D grouting hole models within the grouting analysis system, thus coupling the grouting data with the 3D geological model. However, this 3D geological model still targets formation rock types and rock mass properties, such as permeability, and does not include the bedrock fracture network as an independent model component. Because the rock mass fracture network dominates the mechanical and seepage properties of the rock mass, slurry seepage and potential leakage primarily occur within the rock mass fracture network. Therefore, using the rock mass fracture network as the primary dynamic modeling object and iterating grouting construction data to dynamically update the grouting project BIM+GIS model is of great significance to the digital and intelligent development of grouting engineering. Summary of the Invention

[0004] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide a BIM+GIS model generation and dynamic update method for curtain grouting engineering, which can achieve high-precision grouting geological modeling.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A BIM+GIS model generation and dynamic update method for curtain grouting engineering includes:

[0007] Establishing a unified coordinate system and a coding system for EBS model components, and establishing a static engineering-geology integrated model based on the coding system and the unified coordinate system;

[0008] A deterministic-uncertainty model of medium-sized fractures was constructed based on geological sketch data during the tunnel construction phase.

[0009] Dynamically generate and update a fracture network model of the borehole and surrounding area based on the data from the drilling and grouting stage, and fine-tune the fracture network model by combining the static engineering-geology integrated model and the deterministic-uncertainty model;

[0010] Based on the water pressure and grout seepage data obtained during grouting, the fracture network model is inverted and modified to obtain a dynamic network update model of small fractures.

[0011] Integrating the static engineering-geology integrated model, the deterministic-uncertainty model, and the network dynamic update model to obtain a BIM+GIS integrated system;

[0012] Based on the coding system, the model database of the BIM+GIS integrated system is iteratively updated and the topological relationship is reconstructed to obtain a dynamic fracture network and engineering-geology fusion model driven by actual construction data.

[0013] Preferably, a unified coordinate system and coding system for EBS model components are established, including:

[0014] Position engineering model components and geological model components in a unified GIS spatial coordinate system;

[0015] Assign unique EBS codes to various model components to build a multi-level identification system in the time and space dimensions.

[0016] Preferably, a static engineering-geology integrated model is established based on the coding system and the unified coordinate system, including:

[0017] Establishing a BIM model including the engineering model components, and recording the coordinates and EBS codes of the engineering model components;

[0018] Constructing the geological model component according to the geological survey data to form a static geological model;

[0019] The BIM model and the static geological model are written into a model database to obtain the static engineering-geological integrated model.

[0020] Preferably, the time dimension includes the geological survey stage, the tunnel stage and the drilling and grouting stage; the spatial dimension includes the project, the construction site, the construction unit, the borehole and the borehole section.

[0021] Preferably, a deterministic-uncertainty model of medium-sized fractures is constructed based on geological sketch data during the tunnel construction phase, including:

[0022] The medium-sized crack components intersecting the tunnel are extracted as the determined cracks;

[0023] Based on the geometric statistical parameters of the determined cracks, uncertain medium-sized crack components are randomly generated to form a medium-sized crack network model;

[0024] The medium-sized fracture network model is integrated into the static engineering-geology integrated model, and the component information and spatial association in the model database are updated to obtain the deterministic-uncertainty model.

[0025] Preferably, a fracture network model of the borehole and surrounding area is dynamically generated and updated based on the data of the drilling and grouting stage, and the fracture network model is fine-tuned in combination with the static engineering-geology integrated model and the deterministic-uncertainty model, including:

[0026] Relying on the static engineering-geology integrated model and the medium-sized fracture network model, grouting drilling components are generated along the drilling path, and small fracture components are determined based on camera and drilling data, and the fracture component set of the corresponding area is updated;

[0027] On the premise of keeping the existing determined cracks and the small crack components unchanged, generating uncertain small cracks according to the statistical model and constructing a small crack network;

[0028] The small-scale fracture network model is coupled with the medium-scale fracture network model to form a multi-scale fracture network model, which inherits and updates the component information in the static engineering-geology integrated model.

[0029] Preferably, the fracture network model is inverted and modified based on the water pressure and slurry seepage data obtained during grouting construction to obtain a dynamic network update model of small fractures, including:

[0030] Converting the fracture network model into a fracture pipe network model, and performing seepage numerical analysis to obtain analysis results;

[0031] If the deviation between the analysis result and the measured data exceeds a set threshold, the small fracture network is reconstructed while keeping the determined fractures unchanged until the fitting accuracy meets the requirements.

[0032] Preferably, iteratively updating the model database of the BIM+GIS integrated system based on the coding system and reconstructing the topological relationship includes:

[0033] Executing an update process; the update process includes: retrieving model components to be updated, recovering or replacing EBS codes, and deleting, replacing, and adding crack components; reconstructing the spatial topological relationship between each of the model components to ensure the integrity of the model structure and the effectiveness of the update; the spatial topological relationship includes component intersection, adjacency, and inclusion;

[0034] The updating process is synchronized to the static engineering-geology integrated model to realize the continuous dynamic evolution of the grouting engineering BIM+GIS integrated system.

[0035] Preferably, reconstructing the spatial topological relationship between the model components includes updating the interactive relationship between boreholes and fractures, fractures and strata, and fractures and corridors.

[0036] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0037] This method utilizes unified engineering and geological coordinates and unified EBS model component encoding to generate a BIM+GIS model for grouting projects and dynamically update it based on data iteration. Compared to traditional BIM+GIS modeling approaches for civil engineering, this method significantly advances the use of a multi-scale discrete fracture network model and analyzes each fracture within the fracture network as an independent model component, enabling highly accurate grouting geological modeling. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention 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 invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 A flow chart of a method provided by an embodiment of the present invention;

[0040] Figure 2 A flow chart of the BIM+GIS model for grouting engineering provided in an embodiment of the present invention;

[0041] Figure 3 Example diagrams of engineering model components at various levels provided by embodiments of the present invention; Figure 3 (a) is a panoramic view of the curtain engineering model; Figure 3 (b) is an example diagram of engineering model components at each level of a curtain project;

[0042] Figure 4 An example diagram of a geological model component provided by an embodiment of the present invention; Figure 4 (a) is the panoramic view of the geological model; Figure 4 (b) Details of landforms, stratigraphy and large-scale geological structures;

[0043] Figure 5 A diagram of the database architecture provided by an embodiment of the present invention;

[0044] Figure 6This is an example diagram of a discrete fracture network model of a test area of ​​a grouting project provided by an embodiment of the present invention; Figure 6 (a) Corridor and boreholes in the test area; Figure 6 (b) is the discrete fracture network of the test area; Figure 6 (c) is a schematic diagram of the principle of the fractured pipe network model; Figure 6 (d) is the discrete fracture network pipe network model of the test area. DETAILED DESCRIPTION

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0046] The purpose of the present invention is to provide a BIM+GIS model generation and dynamic update method for curtain grouting engineering, which realizes high-precision grouting geological modeling.

[0047] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0048] Figure 1 A flow chart of the method provided in the embodiment of the present invention is shown in FIG. Figure 1 As shown, the present invention provides a BIM+GIS model generation and dynamic update method for curtain grouting engineering, comprising:

[0049] Step 100: Establish a unified coordinate system and a coding system for EBS model components, and establish a static engineering-geology integrated model based on the coding system and the unified coordinate system;

[0050] Step 200: constructing a deterministic-uncertainty model of medium-sized fractures based on geological sketch data during the tunnel construction phase;

[0051] Step 300: Dynamically generate and update a fracture network model of the borehole and surrounding area based on the data from the drilling and grouting phase, and fine-tune the fracture network model by combining a static engineering-geology integrated model and a deterministic-uncertainty model;

[0052] Step 400: Invert and modify the fracture network model based on the water pressure and slurry seepage data obtained during grouting construction to obtain a dynamic network update model of small fractures;

[0053] Step 500: Integrate the static engineering-geology integrated model, the deterministic-uncertainty model, and the network dynamic update model to obtain a BIM+GIS integrated system;

[0054] Step 600: Iteratively update the model database of the BIM+GIS integrated system based on the coding system and reconstruct the topological relationship to obtain a dynamic fracture network and engineering-geology fusion model driven by actual construction data.

[0055] like Figure 2 As shown, this embodiment provides a construction data-driven grouting engineering BIM+GIS model dynamic update technology based on unified engineering and geological coordinates and unified EBS model component coding. This technical route includes the following steps:

[0056] Step 1: Establish unified engineering coordinates and EBS model component coding rules;

[0057] Step 1.1: Using the coordinates of the control points indicated in the engineering design drawings, mark the global coordinates of the key nodes of the axis of the construction site and the model components above it, and mark the global coordinates and local coordinates of the starting point and midpoint of the construction unit and the model components below it; determine the coordinate position of the center point of each large fracture based on the cross-sectional view and horizontal section view of the dam site area and the curtain axis in the geological survey data.

[0058] Step 1.2: EBS code the engineering model components. At the time level, the engineering model components are divided into three stages: geological survey stage, tunnel stage, and drilling and grouting stage; at the spatial level, the engineering model components are divided into five levels: project, construction site, construction unit, drilling, and hole section. The coding method is as follows: Figure 2 As shown, it starts with the section contract number (DZ-KBQ-104), followed by the construction project (GEO / TUN / GRT, etc.), construction location, construction unit, drilling number, hole section number, etc.

[0059] Step 1.3: Similar to Step 1.2, perform EBS encoding on the geological model components. Component types can be divided into three categories: geological model (MOD), digital rock core (DRC), and impermeable material model (IMP). Geological model components include landforms (ELE), strata (LAY), and fracture surfaces (DIS) of various scales, with fracture surfaces of various scales being the most important.

[0060] Step 2: Preliminary establishment of a static engineering geological model based on geological data from the geological survey stage;

[0061] Step 2.1: Based on the grouting project construction design drawing, draw the model components of each level of this curtain project. Figure 3 As shown in (a), there are five grouting corridors and five construction branch holes on each bank. According to the construction unit plan, the excavation, anchor spraying, lining, backfilling, consolidation, etc. of the corridors and branch holes are drawn into various sub-level components, such as Figure 3(b) shows that various engineering components are combined into the BIM model of this curtain grouting project;

[0062] Step 2.2: Based on the hydrogeological report and geological profile obtained in the early geological survey stage, draw geological model components such as topography, geological stratification, and various large fractures, such as Figure 4 As shown, Figure 4 (a) is the panoramic view of the geological model. Figure 4 (b) Details of landforms, strata, and large-scale geological structures. Model components are assigned coordinate information and EBS codes according to the requirements in step 1;

[0063] Step 2.3: Establish a curtain grouting engineering database, the architecture diagram is as follows Figure 5 As shown in the figure, various engineering and geological model components are linked to the backend database. Each model construction should include at least two basic pieces of information: EBS code and location coordinates. Engineering record data, such as drilling, punching, water injection, and grouting, is linked to model components through six engineering construction levels, indicating the spatial coordinates of the engineering record data. This provides a data foundation for subsequent analysis of the record data and updating of geological model components.

[0064] Step 3: Establish a deterministic-uncertainty model based on the geological sketch data of the tunnel stage;

[0065] Step 3.1: Based on the geological sketch data, organize the fracture trace data that intersects the tunnel side arch and floor, and generate the corresponding fracture components. These fractures are generally determined to be medium-sized fractures.

[0066] Step 3.2: Based on the determined medium-sized fractures obtained in Step 3.1, perform geostatistics to determine fracture dominance groups using the rose diagram method. Mathematical statistics are then performed on each fracture group to obtain a statistical distribution model and model parameters for each fracture group's fracture density, occurrence, size, and aperture. Using these statistical models and parameters, randomly generate uncertain medium-sized fracture components. These, along with the determined fractures, form a deterministic-uncertainty model of the medium-sized fracture network.

[0067] Specifically, the geological model components of this embodiment primarily include three aspects: landforms, strata, and geological structures. The landform components are fixed within the model and remain unchanged, eliminating the need for dynamic updates. However, the strata and geological structures (primarily fractures) are subject to continuous adjustment and dynamic updates during construction as more data is collected.

[0068] Following step 3.1 above, the image recognition function can be used to obtain information such as the occurrence, location, opening, and size of the fractures at a certain location in the corridor revealed by the geological sketch. These fractures that intersect the corridor are confirmed fractures and are also confirmed geological model components and will not be updated or changed.

[0069] Based on the statistical results of determining fractures, we can derive the distribution model and parameters of the fracture network, and then generate a random fracture network based on these parameters. It is important to note that random fracture networks are uncertain, and the same set of statistical distribution parameters can theoretically generate an infinite number of random fracture network models. These random, uncertain fractures still need to be numbered and assigned relevant parameters such as width, size, occurrence, filling, and certainty. The random fracture model will be updated and adjusted based on the subsequent receipt of more construction and geological data.

[0070] In the geological body model, the initial static stratigraphic model components are given by the geological profile in the geological survey report, and the model is built based on the geological profile.

[0071] As construction data increases, especially borehole camera data and borehole permeability data, existing randomly generated fracture model components will be dynamically updated. For example, after obtaining in-hole camera data for a borehole area, all random fractures in the original model that intersect with the borehole are deleted, and fractures revealed by the borehole camera are added, and these newly added fractures are considered definitive fractures. Random fractures in the area adjacent to the borehole also need to be regenerated based on the statistical analysis data of definitive fractures revealed by the borehole. Note that this large-scale fracture update (including the deletion of some random fractures and the generation of some new random fractures) requires consideration of two aspects of correction: first, the recycling and reuse of EBS codes of model components; second, the resolution of the spatial topological relationships of old components, especially the intersection relationships between components, and the new spatial topological relationships brought about by the new components. In addition to the dynamic updating of model components brought about by borehole camera data, the permeability data of the borehole also prompts the updating of model components. After obtaining the borehole permeability data, the back-end algorithm will use the fracture network method to quickly calculate the permeability of the current fracture network model. If the permeability differs from the measured permeability by more than 20%, random fractures will be regenerated while ensuring that the fractures remain unchanged to form a new fracture network model. The above calculation process is then repeated until the error is less than 20%.

[0072] In the geological model of this embodiment, the stratum is also an important model component. The core of the stratum model component is the boundary surface between two different strata. In the initial state, the boundary surface is determined by the lithologic boundary line in the geological survey stage. When more construction drilling data enters the database, each borehole can be given the depth position information of the lithologic interface. Therefore, a new lithologic interface can be obtained by fitting the lithologic interface data revealed by the new borehole (the fitting method uses a spline surface). Note that the stratum model components will not be added or deleted in this process, so there will be no change in the EBS number, but the morphology of each stratum component will be updated and changed.

[0073] Furthermore, after constructing the basic model of the construction area in the above steps, this basic model includes the engineering construction model and the grouting stratum model. It is important to note that the coordinate system used by all models in this embodiment is a unified coordinate system, that is, the spatial relative position relationship of each model component can be calculated. For example, it is clear which stratum a construction unit in a corridor is located in. On this basis, the geological sketch data can be used to generate fracture data intersecting each corridor. These fractures are artificially determined, that is, the "non-random" part of the stratum.

[0074] Through statistical analysis methods, the determined fractures that intersect with the corridors are counted to obtain the fracture grouping, as well as the distribution model and corresponding parameters of the fracture geometric attribute parameters such as size, occurrence, width, and filling of each group of fractures (this step is a common method in geological surveys). Based on the distribution model of each group of fractures and the corresponding parameters of the distribution model, a random fracture network model between the corridors can be generated, and the fractures that intersect with the corridors in these random fracture networks are removed (because the fractures that intersect with the corridors are clear and do not need to be randomly generated). These randomly generated fractures are the "random" part of the current geological model. These random fractures and the aforementioned non-random fractures together constitute a random-semi-random grouting geological model.

[0075] The specific steps of dynamically updating the random crack network in this embodiment are as follows:

[0076] (1) Obtaining curtain hole construction data: During the curtain construction process, this embodiment can obtain the hole position information of the curtain drill hole, the drilling axis inclination and azimuth, and thus obtain the specific position of the drill hole in the above-mentioned model space (the calculation method of this position is different for each project and is generally determined based on the aforementioned global coordinate system and the position of the grouting corridor axis control point);

[0077] (2) Obtaining borehole fracture data: By photographing the borehole, digital cores are generated, thereby obtaining data on fractures intersecting the borehole (this part of the work is grouting digital core generation).

[0078] (3) Thus, the present embodiment obtains the cracks that intersect with the borehole. These cracks are obtained from the analysis of the borehole camera data and are therefore also determined cracks. The present embodiment can remove the random cracks that originally intersect with the borehole through a spatial intersection operation and add the determined cracks identified by the borehole camera. As the grouting borehole fills the entire curtain section along the curtain axis, the random cracks on the curtain section are gradually replaced by determined cracks. The above process is what the patent calls the "dynamic update" of the geological model during the grouting construction process. This dynamic update process lasts for the entire grouting construction cycle, which may be as long as several years. This is very different from the traditional engineering geological modeling method. The traditional modeling method is generally only modeled before the project starts, and during the entire construction cycle, unless there is an accident, the model is no longer updated. In addition, because the traditional engineering geological model only relies on data from the geological survey stage and does not use any data from the construction stage, the accuracy of the model it builds is relatively low.

[0079] (4) This dynamically updated grouting geological model can provide technical guidance for the grouting construction of this embodiment. For example, by comparing the cross-sectional crack density distribution with the water permeability distribution data, early warning can be issued for areas with high crack density and low water permeability, or low crack density and high water permeability. In the former, thin slurry high-pressure grouting should be used, while in the latter, thick slurry low-pressure grouting should be used.

[0080] Step 4: Dynamically update the drilling engineering model and the geological model of the area adjacent to the borehole based on the drilling, video, geophysical, water pressure, and grouting data during the drilling and grouting phase;

[0081] Step 4.1: Generate grouting drilling model components step by step according to the construction sequence, such as Figure 6 As shown in (a). Based on the analysis of downhole data and camera data, the fracture trace data intersecting the borehole is obtained, and then the corresponding fracture components are generated. Such fractures are generally small fractures;

[0082] Step 4.2: Perform geostatistics on the determined small fractures obtained in step 4.1 to obtain the geostatistical distribution model and parameters. Based on the distribution model and parameters, randomly generate uncertain small fracture components. The determined fractures and uncertain fractures together constitute the deterministic-uncertainty model of the small fracture network, such as Figure 6 (b)

[0083] Step 4.3: Due to the uncertainty of the model, a large number of realizations can be randomly generated under the same geo-statistical distribution conditions. By using the fracture pipe network method, the generated discrete fracture network model is simplified to a pipe network model, such as Figure 6 (c)- Figure 6 By comparing the numerical analysis of seepage with the water pressure test results, the spatial distribution and connectivity of the small fracture network were further determined.

[0084] Step 5: As the number of grouting holes in the construction area increases, repeat the process in step 4 to update the BIM+GIS model of the grouting project in the construction area to achieve high-precision dynamic modeling.

[0085] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0086] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only intended to help understand the method and core concept of the present invention. At the same time, those skilled in the art will find that the specific implementation methods and application scopes may vary based on the concept of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims

1. A BIM+GIS model generation and dynamic update method for curtain grouting engineering, characterized in that: include: Establishing a unified coordinate system and a coding system for EBS model components, and establishing a static engineering-geology integrated model based on the coding system and the unified coordinate system; A deterministic-uncertainty model of medium-sized fractures was constructed based on geological sketch data during the tunnel construction phase. Dynamically generate and update a fracture network model of the borehole and surrounding area based on the data from the drilling and grouting stage, and fine-tune the fracture network model by combining the static engineering-geology integrated model and the deterministic-uncertainty model; Based on the water pressure and grout seepage data obtained during grouting, the fracture network model is inverted and modified to obtain a dynamic network update model of small fractures. Integrating the static engineering-geology integrated model, the deterministic-uncertainty model, and the network dynamic update model to obtain a BIM+GIS integrated system; Based on the coding system, the model database of the BIM+GIS integrated system is iteratively updated and the topological relationship is reconstructed to obtain a dynamic fracture network and engineering-geology fusion model driven by actual construction data.

2. The BIM+GIS model generation and dynamic update method for curtain grouting engineering according to claim 1 is characterized in that: Establish a unified coordinate system and coding system for EBS model components, including: Position engineering model components and geological model components in a unified GIS spatial coordinate system; Assign unique EBS codes to various model components to build a multi-level identification system in the time and space dimensions.

3. The BIM+GIS model generation and dynamic update method for curtain grouting engineering according to claim 2 is characterized in that: A static engineering-geology integration model is established based on the coding system and the unified coordinate system, including: Establishing a BIM model including the engineering model components, and recording the coordinates and EBS codes of the engineering model components; Constructing the geological model component according to the geological survey data to form a static geological model; The BIM model and the static geological model are written into a model database to obtain the static engineering-geological integrated model.

4. The BIM+GIS model generation and dynamic update method for curtain grouting engineering according to claim 3 is characterized in that: The time dimension includes the geological survey stage, tunnel stage and drilling and grouting stage; the spatial dimension includes projects, construction sites, construction units, boreholes and borehole sections.

5. The BIM+GIS model generation and dynamic update method for curtain grouting engineering according to claim 3 is characterized in that: A deterministic-uncertainty model for medium-sized fractures was constructed based on geological sketch data from the tunnel construction phase, including: The medium-sized crack components intersecting the tunnel are extracted as the determined cracks; Based on the geometric statistical parameters of the determined cracks, uncertain medium-sized crack components are randomly generated to form a medium-sized crack network model; The medium-sized fracture network model is integrated into the static engineering-geology integrated model, and the component information and spatial association in the model database are updated to obtain the deterministic-uncertainty model.

6. The BIM+GIS model generation and dynamic update method for curtain grouting engineering according to claim 5 is characterized in that: Dynamically generate and update a fracture network model of the borehole and surrounding area based on the data from the drilling and grouting phase, and fine-tune the fracture network model by combining the static engineering-geology integrated model and the deterministic-uncertainty model, including: Relying on the static engineering-geology integrated model and the medium-sized fracture network model, grouting drilling components are generated along the drilling path, and small fracture components are determined based on camera and drilling data, and the fracture component set of the corresponding area is updated; On the premise of keeping the existing determined cracks and the small crack components unchanged, generating uncertain small cracks according to the statistical model and constructing a small crack network; The small-scale fracture network model is coupled with the medium-scale fracture network model to form a multi-scale fracture network model, which inherits and updates the component information in the static engineering-geology integrated model.

7. The BIM+GIS model generation and dynamic update method for curtain grouting engineering according to claim 6 is characterized in that: Based on the water pressure and grout seepage data obtained during grouting construction, the fracture network model is inverted and modified to obtain a dynamic network update model of small fractures, including: Converting the fracture network model into a fracture pipe network model, and performing seepage numerical analysis to obtain analysis results; If the deviation between the analysis result and the measured data exceeds a set threshold, the small fracture network is reconstructed while keeping the determined fractures unchanged until the fitting accuracy meets the requirements.

8. The BIM+GIS model generation and dynamic update method for curtain grouting engineering according to claim 1 is characterized in that: Iteratively updating the model database of the BIM+GIS integrated system based on the coding system and reconstructing the topological relationship includes: Executing an update process; the update process includes: retrieving model components to be updated, recovering or replacing EBS codes, and deleting, replacing, and adding crack components; reconstructing the spatial topological relationship between each of the model components to ensure the integrity of the model structure and the effectiveness of the update; the spatial topological relationship includes component intersection, adjacency, and inclusion; The updating process is synchronized to the static engineering-geology integrated model to realize the continuous dynamic evolution of the grouting engineering BIM+GIS integrated system.

9. The BIM+GIS model generation and dynamic update method for curtain grouting engineering according to claim 8 is characterized in that: The spatial topological relationship between the model components is reconstructed, including updating the interactive relationship between the borehole and the fracture, the fracture and the stratum, and the fracture and the corridor.

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