Geological model automatic modeling and precision dynamic correction method and system

Abstract

The invention discloses a geologic model automatic modeling and precision dynamic correction method and system. The method comprises the steps that three-dimensional modeling is conducted through existing geological data, and a geological model comprising a roadway sub-model, a coal seam sub-model, a working face sub-model, a fault sub-model and a water accumulation area sub-model is generated; correcting a roadway sub-model of the geologic model through the obtained coal exploration point data; correcting a coal seam sub-model and a working surface sub-model of the geologic model according to the acquired coal detection point data and drilling data; correcting a fault sub-model of the geologic model through the obtained drilling data; correcting the ponding area sub-model of the geologic model through the acquired hydrological drilling data and hydrological monitoring data; and correcting each sub-model of the geologic model until a refined geologic model is obtained. According to the method, the precision of the geologic model is dynamically corrected through exploration, geophysical exploration and other detection data, so that the modeling accuracy and flexibility of the geologic model are improved.

Description

Technical Field

[0001] The invention relates to the field of mine geographic information system and geological three-dimensional visualization technology, and in particular to a method and system for automatic geological model building and dynamic accuracy correction. Background Art

[0002] With the development of modern industry, the demand for mineral resources is growing. How to mine these resources efficiently, safely and sustainably has become a core issue in the mining industry. The construction of geological models is an important technical means to meet this challenge. The geological model simulates the geometric distribution, structural distribution and the connection between underground three-dimensional geological bodies through computer technology, making the geological body as transparent as glass, thus clearly showing the spatial position and form of various geological elements such as coal seams, iron ore bodies, and copper ore bodies. This intuitive and comprehensive display of geological information provides a solid foundation platform and decision-making support for mine design, production operations, safety management, etc.

[0003] Regarding the three-dimensional modeling of geological models, a Chinese patent with publication number CN109859312A discloses "A method for fine-grained three-dimensional geological modeling based on BIM technology", which includes: collecting single-hole stratified data of the modeling object, finding out the stratum numbers containing bad geological bodies and removing them; using the single-hole stratified data of the modeling object to establish an initial three-dimensional geological model, and using the removed bad geological body data to establish a three-dimensional geological model of the bad geological body; embedding the three-dimensional geological model of the bad geological body into the initial three-dimensional geological model and completing model integration to obtain a fine three-dimensional geological model of the modeling object.

[0004] The above existing schemes realize the refined modeling of geological models through BIM technology. However, the applicant found that the above existing schemes still have the following problems: 1) The existing schemes only rely on existing geological data for modeling. Once there are deviations or errors in the geological data during collection, the geological model finally generated cannot accurately reflect the underground conditions, resulting in poor accuracy of geological modeling. 2) During the mining process of mineral resources, geological data will continue to change. The existing schemes cannot modify the geological model in a targeted manner when the geological data changes, resulting in poor flexibility in geological modeling. Therefore, how to improve the accuracy and flexibility of geological modeling is a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is: how to provide a method for automatic modeling and dynamic accuracy correction of a geological model. First, a geological model including multiple sub-models is constructed through existing data, and then the accuracy of each sub-model of the geological model is dynamically corrected through other detection data such as exploration and geophysical exploration, thereby improving the accuracy and flexibility of geological modeling.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0007] A method for automatic modeling and dynamic accuracy correction of a geological model, comprising:

[0008] S1: 3D modeling is performed using existing geological data to generate a geological model including tunnel sub-model, coal seam sub-model, working face sub-model, fault sub-model and waterlogged area sub-model;

[0009] S2: Modify the tunnel sub-model of the geological model through the acquired coal exploration point data;

[0010] S3: Modify the coal seam sub-model and working face sub-model of the geological model through the acquired coal exploration point data and drilling data;

[0011] S4: Modify the fault sub-model of the geological model by using the acquired drilling data;

[0012] S5: Modify the waterlogging area sub-model of the geological model through the acquired hydrological borehole data and hydrological monitoring data;

[0013] S6: Repeat steps S2 to S5 to modify each sub-model of the geological model until a refined geological model is obtained.

[0014] Preferably, in step S1, the geological model is constructed by the following steps:

[0015] S101: Identify, classify and sequence the strata through the drilling data in the geological data, and generate a strata sub-model containing several strata;

[0016] S102: Constructing a tunnel sub-model based on geological exploration data, mining engineering plan and construction measurement data;

[0017] S103: constructing a coal seam sub-model based on coal seam exploration data, coal seam gas well data and geological maps;

[0018] S104: constructing a working face model according to the mining design drawing, production plan, geological exploration data and mining engineering plan;

[0019] S105: constructing a fault sub-model according to the drilling data and the geophysical profile data;

[0020] S106: construct a waterlogging area sub-model based on hydrogeological exploration data, groundwater monitoring data and topographic data;

[0021] S107: The waterlogged area sub-model, the tunnel sub-model, the coal seam sub-model, the fault sub-model and the working face sub-model are integrated with the stratum sub-model to generate three-dimensional grid data of the geological model.

[0022] Preferably, in step S107, model fusion is performed through the following steps:

[0023] S1071: Determine the relative position, shape, boundary and fusion priority of each sub-model in the three-dimensional space;

[0024] S1072: Use the stratigraphic submodel as the basic framework of the geological model;

[0025] S1073: Add the coal seam submodel to the geological model in the form of a three-dimensional entity according to the thickness, dip and continuity of the coal seam;

[0026] S1074: Based on the stratigraphic sub-model, the fault sub-model is embedded into the geological model in the form of a three-dimensional entity according to the spatial position, occurrence, fault distance and contact relationship with the stratigraphic layer and the coal seam of the fault;

[0027] S1075: adding the tunnel sub-model to the geological model in the form of a three-dimensional entity according to the contact relationship between the tunnel and the stratum, the intersection relationship with the fault, and the spatial position relationship with other tunnels;

[0028] S1076: Add the working face sub-model to the geological model in the form of a three-dimensional entity according to the spatial relationship between the working face and the coal seam, tunnel, fault and waterlogging area and its own position and shape;

[0029] S1077: Add the waterlogging area submodel to the geological model in the form of a three-dimensional entity based on the spatial distribution, scope, water level of the waterlogging area and the spatial consistency with other submodels.

[0030] Preferably, in step S2, the tunnel sub-model is corrected by the following steps:

[0031] S201: Acquire coal exploration point data related to the roadway, including roadway location data of the coal exploration point, and top coal and bottom coal data;

[0032] S202: Calculating the actual coordinates of the coal exploration points in the roadway according to the roadway position data of each coal exploration point;

[0033] S203: Mapping the actual coordinates of each coal probe in the tunnel to the corresponding position of the tunnel sub-model;

[0034] S204: Correcting the model grid coordinate data of the tunnel sub-model at the corresponding position according to the actual coordinates of each coal exploration and the top coal and bottom coal data.

[0035] Preferably, in step S202, a plurality of guide wire points are set in the two-dimensional plan view of the tunnel, and each guide wire point is connected to form the center line of the tunnel; the tunnel position data of the coal exploration point includes the distance between the coal exploration point and the tunnel entrance;

[0036] The actual coordinates of the coal exploration point in the tunnel are calculated using the following formula:

[0037] x=x1+dx*(ld);

[0038] y=y1+dy*(ld);

[0039] z=z1+dz*(ld);

[0040] In the formula: (x, y, z) represents the actual coordinates of the coal exploration point in the tunnel; (x1, y1, z1) represents the coordinates of the previous traverse point at the location of the coal exploration point; (dx, dy, dz) represents the direction of the line segment formed by connecting the previous traverse point and the next traverse point at the location of the coal exploration point; l represents the distance between the coal exploration point and the tunnel entrance; d represents the distance between the previous traverse point at the location of the coal exploration point and the tunnel entrance.

[0041] Preferably, in step S3, the coal seam sub-model is corrected by the following steps:

[0042] S301: Acquire coal exploration point data and drilling data related to the coal seam, including the location coordinates of the coal exploration point and the drilling hole and the roof and floor depth data when penetrating the coal seam;

[0043] S302: Calculate the actual thickness of the coal seam based on the roof and floor depth data of the coal exploration point and the drill hole penetrating the coal seam;

[0044] S303: determining the area of ​​the coal seam sub-model that needs to be corrected according to the position coordinates of the coal exploration point and the drill hole; in the area of ​​the coal seam sub-model that needs to be corrected, calculating the coal seam thickness of the grid node by using the spatial interpolation method based on the calculated actual thickness of the coal seam;

[0045] S304: According to the coal seam thickness obtained by interpolation calculation, the coal seam roof and floor coordinate data of the grid nodes in the area to be corrected of the coal seam sub-model are adjusted; the elevation of the coal seam roof coordinate point is the tunnel top elevation plus the actual coal seam thickness, and the elevation of the coal seam floor coordinate point is the tunnel bottom elevation minus the actual coal seam thickness.

[0046] Preferably, in step S3, the working surface model is corrected by the following steps:

[0047] S311: extracting boundary contour data of the working face model in the coal seam;

[0048] S312: Obtain the coal seam sub-model corrected in step S304;

[0049] S313: cutting the corrected coal seam sub-model using the extracted boundary contour data; filling the cut coal seam roof and floor models into the working face sub-model to achieve correction of the working face sub-model.

[0050] Preferably, in step S4, the fault sub-model is corrected by the following steps:

[0051] S401: Acquire drilling data related to the fault, including the location coordinates of the drilling hole and the coal-seeing and coal-stopping depth data;

[0052] S402: Identify the drill holes where the coal seam position suddenly changes, i.e., penetrate the fault, based on the coal-seeing and coal-stopping depth data of each drill hole;

[0053] S403: Calculate the strike angle of the fault through the coordinates of the drilling position penetrating the fault, and record the coordinate array of the strike of the hanging wall of the fault;

[0054] S404: According to the sequence and position mutation points of the boreholes penetrating various strata, the data of each borehole is compared and analyzed to determine the inclination data of the fault;

[0055] S405: Continuously correct the hanging wall coordinates, strike and dip of the fault sub-model through the strike angle, hanging wall strike coordinate array and dip data in steps S403 and S404.

[0056] Preferably, in step S5, the waterlogged area sub-model is corrected by the following steps:

[0057] S501: Acquire hydrological borehole data and hydrological monitoring data related to the waterlogging area sub-model, including the borehole opening coordinates, azimuth and inclination, and water level data;

[0058] S502: Generate a ray by calculating the hole opening coordinates, azimuth and inclination data of the borehole, where the ray represents the extension direction of the borehole in three-dimensional space; perform intersection detection on the ray and the water accumulation area sub-model to find the intersection position coordinates of the borehole and the water accumulation area;

[0059] S503: Determine the top water level elevation and the bottom water level elevation of the waterlogged area at the intersection position coordinates according to the water level data of the borehole; generate new top plate coordinates and bottom plate coordinates in the waterlogged area sub-model according to the elevation information;

[0060] S504: insert new points at corresponding positions of the waterlogging area sub-model according to the top plate coordinates and bottom plate coordinates generated in step S503; use the Delaunay algorithm to triangulate the top plate grid and bottom plate grid coordinates of the waterlogging area sub-model, and update the grid structure of the waterlogging area sub-model.

[0061] The present invention also discloses a geological model automatic modeling and precision dynamic correction system, which is based on the geological model automatic modeling and precision dynamic correction method of the present invention and includes:

[0062] The three-dimensional modeling module is used to perform three-dimensional modeling based on the existing geological data and generate a geological model including a tunnel sub-model, a coal seam sub-model, a working face sub-model, a fault sub-model and a waterlogged area sub-model;

[0063] Data acquisition module, used to obtain coal exploration point data, drilling data and hydrological monitoring data;

[0064] The model correction module is used to correct each sub-model of the geological model through the acquired coal exploration point data, drilling data, hydrological drilling data and hydrological monitoring data.

[0065] Compared with the prior art, the method for automatic geological model building and dynamic accuracy correction in the present invention has the following beneficial effects:

[0066] The present invention performs three-dimensional automatic modeling through existing geological data to generate a geological model including a tunnel sub-model, a coal seam sub-model, a working face sub-model, a fault sub-model and a waterlogging area sub-model. First, a three-dimensional geological model that highly restores the actual underground situation is constructed using existing geological data, which covers multiple key sub-models such as tunnels, coal seams, working faces, faults and waterlogging areas, forming a complete and systematic underground geological structure system, and improving the integrity and comprehensiveness of geological model modeling. Secondly, each sub-model of the geological model is clearly layered in three-dimensional space, easy to distinguish and identify, which helps to quickly grasp the overall framework and local characteristics of the geological structure. Sub-models at different levels can be displayed independently or in combination, which is convenient for information screening and key analysis according to different needs, thereby improving the flexibility of geological model modeling. Finally, through fine three-dimensional modeling technology, it is possible to show subtle changes and detailed features in the geological structure, such as subtle folds in the coal seam, slight displacement of the fault, etc., improve the accuracy of geological model modeling, and ensure accurate simulation of geological conditions.

[0067] On the basis of constructing a geological model through existing geological data, the present invention further corrects the tunnel sub-model, coal seam sub-model, working face sub-model, fault sub-model and water accumulation area sub-model of the geological model through the acquired coal exploration point data and drilling data. First, when there is a deviation or error in the existing geological data and the geological data changes, the coal exploration point data and drilling data can accurately reflect the actual situation of a certain point or a certain area underground, so that the sub-model with errors or dynamic changes can be corrected in a targeted manner, thereby improving the accuracy and pertinence of the geological model correction; and with the continuous acquisition of new data, the geological model can be corrected in real time to ensure that the geological model is always consistent with the actual situation underground, thereby improving the flexibility and efficiency of the geological model correction. Secondly, the addition of new data further optimizes and improves the details in the geological model, such as slight changes in the thickness of the coal seam, precise adjustment of the fault position, etc. Therefore, the accuracy and reliability of the geological model after multiple corrections are significantly improved, and the underground geological conditions can be simulated more accurately. Finally, through continuous data correction and model updating, a dynamic and iterative geological model system can be formed, so that the modeling effect of the geological model is always maintained at a high level, thereby improving the effect of the geological model modeling. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] In order to make the purpose, technical solution and advantages of the invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings, in which:

[0069] Figure 1 The logic block diagram of the automatic modeling and dynamic accuracy correction method of the geological model;

[0070] Figure 2 A schematic diagram for calculating the coordinates of the coal exploration point in the tunnel;

[0071] Figure 3 Schematic diagram of the fault sub-model correction. DETAILED DESCRIPTION

[0072] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but only represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0073] It should be noted that similar numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. In the description of the present invention, it should be noted that the orientation or position relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. is based on the orientation or position relationship shown in the drawings, or the orientation or position relationship in which the invention product is usually placed when used, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance. In addition, the terms "horizontal", "vertical", etc. do not mean that the components are required to be absolutely horizontal or suspended, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted. In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0074] The following is a further detailed description through specific implementation methods:

[0075] Embodiment 1:

[0076] This embodiment discloses a method for automatic geological model building and dynamic accuracy correction.

[0077] like Figure 1 As shown, the method for automatic modeling of geological models and dynamic accuracy correction includes:

[0078] S1: 3D modeling is performed using existing geological data to generate a geological model including tunnel sub-model, coal seam sub-model, working face sub-model, fault sub-model and waterlogged area sub-model;

[0079] S2: Modify the tunnel sub-model of the geological model through the acquired coal exploration point data;

[0080] S3: Modify the coal seam sub-model and working face sub-model of the geological model through the acquired coal exploration point data and drilling data;

[0081] S4: Modify the fault sub-model of the geological model by using the acquired drilling data;

[0082] S5: Modify the waterlogging area sub-model of the geological model through the acquired hydrological borehole data and hydrological monitoring data;

[0083] S6: Repeat steps S2 to S5 to modify each sub-model of the geological model until a refined geological model is obtained.

[0084] The present invention performs three-dimensional modeling through existing geological data to generate a geological model including a tunnel sub-model, a coal seam sub-model, a working face sub-model, a fault sub-model and a waterlogging area sub-model. First, a three-dimensional geological model that highly restores the actual underground situation is constructed using existing geological data, which covers multiple key sub-models such as tunnels, coal seams, working faces, faults and waterlogging areas, forming a complete and systematic underground geological structure system, and improving the integrity and comprehensiveness of geological modeling. Secondly, each sub-model of the geological model is clearly layered in three-dimensional space, easy to distinguish and identify, which helps to quickly grasp the overall framework and local characteristics of the geological structure. Sub-models at different levels can be displayed independently or in combination, which is convenient for information screening and key analysis according to different needs, thereby improving the flexibility of geological modeling. Finally, through fine three-dimensional modeling technology, it is possible to show subtle changes and detailed features in the geological structure, such as subtle folds in the coal seam, slight displacements of the fault, etc., improve the accuracy of geological modeling, and ensure accurate simulation of geological conditions.

[0085] On the basis of constructing a geological model through existing geological data, the present invention further corrects the tunnel sub-model, coal seam sub-model, working face sub-model, fault sub-model and water accumulation area sub-model of the geological model through the acquired coal exploration point data and drilling data. First, when there is a deviation or error in the existing geological data and the geological data changes, the coal exploration point data and drilling data can accurately reflect the actual situation of a certain point or a certain area underground, so that the sub-model with errors or dynamic changes can be corrected in a targeted manner, thereby improving the accuracy and pertinence of the geological model correction; and with the continuous acquisition of new data, the geological model can be corrected in real time to ensure that the geological model is always consistent with the actual situation underground, thereby improving the flexibility and efficiency of the geological model correction. Secondly, the addition of new data further optimizes and improves the details in the geological model, such as slight changes in the thickness of the coal seam, precise adjustment of the fault position, etc. Therefore, the accuracy and reliability of the geological model after multiple corrections are significantly improved, and the underground geological conditions can be simulated more accurately. Finally, through continuous data correction and model updating, a dynamic and iterative geological model system can be formed, so that the modeling effect of the geological model is always maintained at a high level, thereby improving the effect of the geological model modeling.

[0086] In order to better introduce the technical solution of the present invention, this embodiment is described through the following parts.

[0087] 1. Construction of geological model

[0088] In this embodiment, the geological model is constructed through the following steps:

[0089] S101: Identify, classify and sequence the strata through the drilling data in the geological data, and generate a strata sub-model including several strata (including sandy soil layers, clay layers, fine sandstone and other strata in this embodiment); the strata sub-model does not include coal seams, which will be modeled separately later;

[0090] In this embodiment, the formation sub-model is constructed through the following steps:

[0091] 1) Drilling data collection: Collect all available drilling data, including the location, depth, lithology description (such as sand layer, clay layer, fine sandstone, coal seam, etc.), sampling analysis results and possible geological logging information.

[0092] 2) Data preprocessing: Clean the borehole data to remove outliers, missing values, and duplicate data to ensure data quality. Standardize the lithology description to ensure consistent lithology classification between different boreholes. Unify the borehole data into the same coordinate system to facilitate subsequent spatial analysis and modeling.

[0093] 3) Stratigraphic correlation: By comparing the stratigraphic lithology descriptions and depth information in different boreholes, the relative positions and sequences of the strata in different boreholes can be determined.

[0094] 4) Stratigraphic sequence construction: Based on the results of stratigraphic comparison, construct the stratigraphic sequence of the entire target mining area. This sequence should reflect the spatial distribution and relative position relationship of different strata in the mining area.

[0095] 5) Three-dimensional grid division: Three-dimensional grid division is performed according to the mining area scope and the distribution of drilling data.

[0096] 6) Stratigraphic interface interpolation: Use interpolation algorithms (such as Kriging interpolation, inverse distance weighted interpolation, etc.) to interpolate the stratigraphic interfaces identified in the borehole to obtain three-dimensional grid data of the stratigraphic interfaces of the entire mining area.

[0097] 7) Stratigraphic body filling: Based on the stratigraphic interface grid data obtained by interpolation, fill in the corresponding stratigraphic body (the stratigraphic body should have correct lithological properties and spatial position relationships) in the 3D modeling software to generate a stratigraphic sub-model.

[0098] S102: Constructing a tunnel sub-model based on geological exploration data, mining engineering plan and construction measurement data;

[0099] In this embodiment, the tunnel sub-model is constructed through the following steps:

[0100] 1) Data source preparation: obtain geological exploration data, mining engineering plan and construction measurement data:

[0101] Geological exploration data includes drilling data, geophysical data (such as seismic exploration and electromagnetic method) and geological catalog information. The mining engineering plan is the direct basis for the construction of the tunnel sub-model, which contains detailed information such as the direction, slope, cross-section shape, size, support method, etc. of the tunnel. The mining engineering plan is usually drawn by geological engineers or mining engineers based on geological exploration data and mining needs. Construction measurement data records the actual location, shape and size of the tunnel during tunnel excavation. These data are crucial for verifying the accuracy of the design drawing, correcting model errors and realizing dynamic updates of the model.

[0102] 2) Data integration and analysis: Integrate geological exploration data, mining engineering plan and construction measurement data to analyze the geological conditions, spatial position relationships and possible deformation of the tunnel.

[0103] 3) Determine the axis of the tunnel: According to the plan of the mining project, determine the axis direction and slope of the tunnel. You can use curve tools or line segment tools in the 3D modeling software to draw the axis of the tunnel.

[0104] 4) Cross-sectional shape and size design: Design the cross section of the tunnel in the 3D modeling software according to the cross-sectional shape and size information in the mining engineering plan. The cross-sectional shapes of the tunnel include rectangle, trapezoid, semicircular arch, etc.

[0105] 5) Construction of tunnel solid model: Use the stretching, rotation, lofting and other tools in the 3D modeling software to stretch the designed cross section along the tunnel axis to form a solid model of the tunnel, namely the tunnel sub-model.

[0106] S103: constructing a coal seam sub-model based on coal seam exploration data, coal seam gas well data and geological maps;

[0107] In this embodiment, the coal seam sub-model is constructed through the following steps:

[0108] 1) Data source preparation: obtain coal seam exploration data, coalbed methane well data and geological maps.

[0109] Coal seam exploration data include drilling coring data, well logging data, coal seam thickness, coal seam burial depth, coal seam roof and floor lithology, etc. Coalbed methane well data include data collected during the production process, such as coal seam gas content, permeability, pressure gradient, etc. Geological maps include coal seam floor contour map, coal seam distribution map, geological structure map, etc. These maps provide the distribution of coal seams in two-dimensional or three-dimensional space and geological background information.

[0110] 2) Data integration and analysis: Integrate coal seam exploration data, coalbed methane well data and geological maps to analyze the spatial distribution, thickness changes, physical properties and gas storage capacity of coal seams.

[0111] 3) Coal seam interface identification: Use drilling coring data and logging data to identify the top and bottom interfaces of the coal seam.

[0112] 4) Coal seam thickness interpolation: Use geostatistical methods (such as Kriging interpolation) or deterministic interpolation methods (such as inverse distance weighted interpolation) to interpolate the coal seam thickness to obtain the thickness distribution map of the coal seam in the entire study area.

[0113] 5) Three-dimensional modeling of coal seams: In the three-dimensional modeling software, a three-dimensional solid model of the coal seam is constructed according to the coal seam interface and thickness distribution map (the shape, thickness and spatial position relationship of the coal seam must be reflected).

[0114] 6) Coal seam attribute assignment: According to the coalbed methane well data and geological maps, the coal seam sub-model is assigned corresponding attributes, such as gas content, permeability, pressure gradient, etc., to generate a coal seam sub-model.

[0115] S104: constructing a working face model according to the mining design drawing, production plan, geological exploration data and mining engineering plan;

[0116] In this embodiment, the work surface model is constructed through the following steps:

[0117] 1) Data source preparation: obtain mining design drawings, production plans and geological exploration data.

[0118] The mining design drawing depicts the key information of the mining face, such as the location, shape, size, and mining sequence. The mining design drawing contains the plan layout of the working face, the cross-section, and the necessary annotations and instructions. The production plan provides detailed information such as the timetable, production requirements, and equipment configuration of the working face. Geological exploration data includes drilling data, geophysical data, geological catalog information, etc., which provide key information such as the geological structure, rock properties, and coal seam distribution of the area where the working face is located.

[0119] 2) Determine the location and shape of the working face: Determine the specific location, shape and size of the working face based on the mining design drawing. In the 3D geological modeling software, use the polygon drawing tool to draw the outline of the working face in the model.

[0120] 3) Geological condition analysis: Combined with geological exploration data, the geological conditions of the working face area are analyzed, including stratigraphic structure, rock properties, coal seam thickness and inclination, etc. The geological problems that may be encountered during the mining process of the working face, such as faults, folds, collapse columns, etc., can be further evaluated, and corresponding countermeasures can be formulated.

[0121] 4) Mining plan formulation: According to the production plan and geological conditions analysis results, formulate the mining plan for the working face. Determine key parameters such as mining method (such as comprehensive mining, blasting mining, etc.), mining sequence, support method, etc.

[0122] 5) Three-dimensional modeling of the working face: In the three-dimensional geological modeling software, a three-dimensional solid model of the working face, namely the working face sub-model, is constructed according to the mining plan and geological condition analysis results.

[0123] S105: constructing a fault sub-model according to the drilling data and the geophysical profile data;

[0124] In this embodiment, the fault sub-model is constructed through the following steps:

[0125] 1) Data source preparation: obtain drilling data and geophysical profile data.

[0126] Borehole data include lithology, stratigraphic sequence, contact relationship and possible fault evidence (such as fault gouge, scratches, steps). Fault evidence in borehole data needs to be carefully identified, and the occurrence (strike, dip, dip), fault distance, fault type (normal fault, reverse fault, strike-slip fault) and other information of the fault should be recorded. Geophysical profile data can reveal the continuity, velocity change, resistivity change of underground rock formations, etc.

[0127] 2) Fault identification and interpretation: Comprehensively analyze drilling data and geophysical profile data to identify faults in the study area. Conduct detailed interpretation of each fault to determine its occurrence, fault distance, fault type and other parameters.

[0128] 3) Determine the spatial position of the fault: Use the fault evidence in the borehole data and geophysical profile data to determine the spatial position and morphology of the fault in three-dimensional space. Geological modeling software can be used to import the borehole data and geophysical data, and a three-dimensional model of the fault can be constructed through interpolation and fitting methods.

[0129] 4) Fault attribute assignment: According to factors such as fault type, activity history, and impact on strata and structures, the fault sub-model is assigned corresponding attributes, such as activity intensity, impact range, potential hazards to mining, etc., to generate a fault sub-model.

[0130] S106: construct a waterlogging area sub-model based on hydrogeological exploration data, groundwater monitoring data and topographic data;

[0131] In this embodiment, the waterlogging area sub-model is constructed through the following steps:

[0132] 1) Data source preparation: obtain hydrogeological exploration data, groundwater monitoring data and topographic data.

[0133] Hydrogeological exploration data include borehole pumping test data, water level observation data, permeability coefficient test data, etc. These data provide key information such as groundwater level, flow rate, flow direction, and permeability. Groundwater monitoring data is data from long-term groundwater monitoring sites, including dynamic changes in water levels and water quality monitoring results. These data reflect the dynamic characteristics and changing trends of groundwater. Topographic data include topographic maps, DEM (digital elevation model) data, and descriptions of landform features. These data provide information such as surface morphology, terrain undulations, and catchment areas.

[0134] 2) Identification and boundary determination of waterlogging areas: Combine hydrogeological exploration data and groundwater monitoring data to identify the location and scope of waterlogging areas. Use topographic data, especially DEM data, to determine the boundaries of waterlogging areas through hydrological analysis (such as flow direction analysis, runoff accumulation analysis, etc.).

[0135] 3) Analysis of waterlogged areas: Analyze the water level, water volume, water quality and other characteristics of the waterlogged areas to understand the dynamic changes of the waterlogged areas. Combined with geological exploration data, evaluate the relationship between the waterlogged areas and the surrounding strata, lithology, and structures, as well as possible geological disaster risks.

[0136] 4) 3D modeling: In the 3D geological modeling software, a 3D solid model of the waterlogged area is constructed according to its boundaries and characteristics. The model should accurately reflect the spatial distribution, shape, size of the waterlogged area and its relationship with other geological models (such as stratigraphic sub-models and fault sub-models).

[0137] 5) Parameter setting and attribute assignment: According to groundwater monitoring data and geological exploration data, set corresponding parameters for the waterlogging area submodel, such as water level, water volume variation range, water quality indicators, etc. Assign attribute information to the model, such as the cause of the waterlogging area, the degree of harm, and governance measures, to facilitate subsequent geological analysis and mining planning.

[0138] S107: The waterlogged area sub-model, the tunnel sub-model, the coal seam sub-model, the fault sub-model and the working face sub-model are integrated with the stratum sub-model to generate three-dimensional grid data of the geological model.

[0139] Specifically, the model fusion is performed through the following steps:

[0140] S1071: Determine the relative position, shape, boundary and fusion priority of each sub-model in the three-dimensional space;

[0141] In this embodiment, the stratum sub-model is first determined as the basic framework; the fault sub-model may affect the continuity and integrity of the stratum and is considered in subsequent steps; the tunnel sub-model, coal seam sub-model, working face sub-model and waterlogging area sub-model are gradually integrated according to specific needs.

[0142] S1072: The stratigraphic sub-model is used as the basic framework of the geological model; the stratigraphic sub-model should contain basic information such as the thickness, lithology, and occurrence of the strata to facilitate the integration of subsequent sub-models.

[0143] S1073: Add the coal seam submodel to the geological model in the form of a three-dimensional entity according to the thickness, dip and continuity of the coal seam;

[0144] S1074: Based on the stratigraphic sub-model, the fault sub-model is embedded into the geological model in the form of a three-dimensional entity according to the spatial position, occurrence, fault distance and contact relationship with the stratigraphic layer and the coal seam of the fault;

[0145] S1075: adding the tunnel sub-model to the geological model in the form of a three-dimensional entity according to the contact relationship between the tunnel and the stratum, the intersection relationship with the fault, and the spatial position relationship with other tunnels;

[0146] S1076: Add the working face sub-model to the geological model in the form of a three-dimensional entity according to the spatial relationship between the working face and the coal seam, tunnel, fault and waterlogging area and its own position and shape;

[0147] S1077: Add the waterlogging area submodel to the geological model in the form of a three-dimensional entity based on the spatial distribution, scope, water level of the waterlogging area and the spatial consistency with other submodels.

[0148] 2. Tunnel sub-model modification

[0149] In this embodiment, the tunnel sub-model is corrected by the following steps:

[0150] S201: Acquire coal exploration point data related to the roadway, including roadway location data of the coal exploration point, and top coal and bottom coal data;

[0151] S202: Calculating the actual coordinates of the coal exploration points in the roadway according to the roadway position data of each coal exploration point;

[0152] S203: Mapping the actual coordinates of each coal probe in the tunnel to the corresponding position of the tunnel sub-model;

[0153] S204: Correcting the model grid coordinate data of the tunnel sub-model at the corresponding position according to the actual coordinates of each coal exploration and the top coal and bottom coal data.

[0154] Combination Figure 2 As shown, the blue lines represent the tunnels. In the two-dimensional plan of the tunnel, several wire points are set, and the wire points are connected to form the center line of the tunnel; the coordinates of each wire point and the distance from the tunnel entrance are known; the coal exploration point is located between wire point 2 and wire point 3. The tunnel position data of the coal exploration point includes the distance between the coal exploration point and the tunnel entrance, such as the coal exploration point is located 100 meters away from the entrance of a tunnel. The actual coordinates of the coal point in the tunnel are calculated by the coordinates of wire point 2 and the direction of the line segment (the line segment connected with wire point 3) combined with the distance between the coal exploration point and the tunnel entrance. The specific calculation formula is as follows:

[0155] x=x1+dx*(ld);

[0156] y=y1+dy*(ld);

[0157] z=z1+dz*(ld);

[0158] In the formula: (x, y, z) represents the actual coordinates of the coal exploration point in the tunnel; (x1, y1, z1) represents the coordinates of the previous traverse point at the location of the coal exploration point; (dx, dy, dz) represents the direction of the line segment formed by the previous traverse point and the next traverse point at the location of the coal exploration point (that is, the direction of the tunnel at the location of the coal exploration point); l represents the distance between the coal exploration point and the tunnel entrance; s represents the distance between the previous traverse point at the location of the coal exploration point and the tunnel entrance.

[0159] The present invention can more accurately correct the tunnel sub-model through the coal exploration point data by accurately calculating the actual coordinates of the coal exploration point in the tunnel.

[0160] In other preferred embodiments, the tunnel sub-model may also be corrected by the following logic:

[0161] 1) Obtain the coal exploration point data related to the roadway, including the actual coordinates of the coal exploration point, coal seam thickness, geological structure description and coal quality analysis information;

[0162] In this embodiment, the acquired coal exploration point data needs to be preprocessed, such as cleaning noise and abnormal values ​​in the data.

[0163] 2) Calculate the real coordinates of the coal exploration point in the tunnel according to the actual coordinates of the coal exploration point; and correct the height information of the tunnel sub-model at the corresponding position according to the real coordinates of the tunnel of the coal exploration point;

[0164] 3) According to the average coal seam thickness of all coal exploration points in a certain section of the roadway, the coal seam thickness of the roadway sub-model in the roadway is corrected;

[0165] 4) Identify new faults around the tunnel based on the geological structure description of the coal exploration point, and adjust the position, strike and dip of the faults in the tunnel sub-model according to the new faults;

[0166] 5) The weak rock layers around the tunnel are identified based on the coal quality analysis information of the coal exploration point; when the thickness of the weak rock layer in a certain section of the tunnel exceeds the preset value, a new support structure is generated in the section of the tunnel in the tunnel sub-model.

[0167] 3. Coal seam sub-model correction

[0168] In this embodiment, the coal seam sub-model is corrected by the following steps:

[0169] S301: Acquire coal exploration point data and drilling data related to the coal seam, including the location coordinates of the coal exploration point and the drilling hole and the roof and floor depth data when penetrating the coal seam;

[0170] S302: Calculate the actual thickness of the coal seam based on the roof and floor depth data of the coal exploration point and the drill hole penetrating the coal seam;

[0171] S303: determining the area of ​​the coal seam sub-model that needs to be corrected according to the position coordinates of the coal exploration point and the drill hole; in the area of ​​the coal seam sub-model that needs to be corrected, calculating the coal seam thickness of the grid node by using a spatial interpolation method (such as Kriging interpolation, inverse distance weighted interpolation, etc.) based on the calculated actual thickness of the coal seam;

[0172] S304: According to the coal seam thickness obtained by interpolation calculation, the coal seam roof and floor coordinate data of the grid nodes in the area to be corrected of the coal seam sub-model are adjusted; the elevation of the coal seam roof coordinate point is the tunnel top elevation plus the actual coal seam thickness, and the elevation of the coal seam floor coordinate point is the tunnel bottom elevation minus the actual coal seam thickness.

[0173] In other preferred embodiments, the coal seam sub-model may also be corrected by the following logic:

[0174] 1) Obtain coal exploration point data and drilling data related to coal seams, including coal seam thickness information, coal seam roof and floor elevation information, coal seam structure information, coal seam boundary information and coal seam geological structure information;

[0175] 2) Compare the coal seam thickness information of each area with the coal seam thickness of the corresponding area of ​​the coal seam sub-model; when the coal seam thickness deviation of a certain area exceeds the preset thickness value, correct the coal seam thickness of the area of ​​the coal seam sub-model;

[0176] 3) Compare the coal seam roof and floor elevation information of each area with the model roof and floor surfaces of the corresponding area of ​​the coal seam sub-model; when the roof and floor surface deviation of a certain area exceeds the preset value of the roof and floor surface, correct the roof and floor surfaces of the area of ​​the coal seam sub-model; such as moving the position of the roof and floor surfaces, adjusting their shape, etc.

[0177] 4) Identify the coal seam structure according to the rock type, interlayer and fault information in the coal seam structure information; adjust the structure of the coal seam sub-model accordingly according to the coal seam structure identification results; if a new fault is found, it is necessary to draw the direction and dip of the fault in the coal seam sub-model and update the related coal seam blocks.

[0178] 5) Determine the actual boundary range of the coal seam based on the coal seam boundary information; compare the actual boundary range of the coal seam with the model boundary of the coal seam sub-model; when the boundary deviation of a certain area exceeds the boundary preset value, correct the boundary of the area of ​​the coal seam sub-model; such as moving the position of the boundary line, adjusting its shape, etc.

[0179] 6) Identify the geological structural characteristics inside the coal seam based on the rock deformation, folds, and joints in the coal seam geological structure information; adjust the structure of the coal seam sub-model accordingly based on the identification results of the geological structural characteristics inside the coal seam; such as using 3D modeling tools to draw the shape of folds and the direction of joints in the model.

[0180] 4. Work face model modification

[0181] In this embodiment, the working surface model is corrected through the following steps:

[0182] S311: extracting boundary contour data of the working face model in the coal seam;

[0183] S312: Obtain the coal seam sub-model corrected in step S304;

[0184] S313: cutting the corrected coal seam sub-model using the extracted boundary contour data; filling the cut coal seam roof and floor models into the working face sub-model to achieve correction of the working face sub-model.

[0185] In other preferred embodiments, the coal seam sub-model may also be corrected by the following logic:

[0186] 1) Obtain coal exploration point data and drilling data related to the working face, including coal seam thickness information, coal seam roof and floor elevation information, and coal seam boundary information;

[0187] 2) Compare the coal seam thickness information of each area with the coal seam thickness of the corresponding area of ​​the working face sub-model; when the coal seam thickness deviation of a certain area exceeds the preset thickness value, correct the coal seam thickness of the area of ​​the working face sub-model;

[0188] 3) Compare the coal seam roof and floor elevation information of each area with the model roof and floor surfaces of the corresponding area of ​​the working face sub-model; when the roof and floor surface deviation of a certain area exceeds the preset value of the roof and floor surface, correct the roof and floor surfaces of the area of ​​the working face sub-model; such as moving the position of the roof and floor surfaces, adjusting their shape, etc.

[0189] 4) Determine the actual boundary range of the coal seam based on the coal seam boundary information; compare the actual boundary range of the coal seam with the model boundary of the working face sub-model; when the boundary deviation of a certain area exceeds the boundary preset value, correct the boundary of the area of ​​the working face sub-model; such as moving the position of the boundary line, adjusting its shape, etc.

[0190] 5. Fault sub-model correction

[0191] Combination Figure 3 As shown, the fault sub-model is a sheet model constructed by using an algorithm based on the position, strike, inclination and other parameters of the fault. The coal seam will suddenly sink or float where there is a fault. The borehole will penetrate the coal seam during the drilling process, and record the depth when the coal is seen and the depth when the coal is out of the coal seam. The elevation information of the location of the coal seam can be evaluated. If there is a fault ahead, then the coal depth and the coal stop depth of the borehole will indicate that the position of the coal seam has suddenly changed. The present invention uses this feature to determine whether there is a fault ahead through a set of continuous drilling data.

[0192] Specifically, the fault sub-model is modified through the following steps:

[0193] S401: Acquire drilling data related to the fault, including the location coordinates of the drilling hole and the coal-seeing and coal-stopping depth data;

[0194] S402: Identify the drill holes where the coal seam position suddenly changes, i.e., penetrate the fault, based on the coal-seeing and coal-stopping depth data of each drill hole;

[0195] S403: Calculate the strike angle of the fault through the coordinates of the drilling position penetrating the fault, and record the coordinate array of the strike of the hanging wall of the fault;

[0196] S404: According to the sequence and position mutation points of the boreholes penetrating various strata, the data of each borehole is compared and analyzed to determine the inclination data of the fault;

[0197] S405: Continuously correct the hanging wall coordinates, strike and dip of the fault sub-model through the strike angle, hanging wall strike coordinate array and dip data in steps S403 and S404.

[0198] In other preferred embodiments, the coal seam sub-model may also be corrected by the following logic:

[0199] 1) Obtain various types of drilling data related to the fault, including fault location information, fault occurrence information, fault scale information and fault internal structure information;

[0200] 2) According to the geographical location (including longitude and latitude, elevation, etc.), drilling depth, and core logging information in the fault location information, identify the depth and location of the fault and its contact relationship with other strata to determine the actual location of the fault; adjust the model position of the fault sub-model according to the actual location of the fault; such as using tools such as move and rotate in the 3D modeling software to adjust the position of the fault sub-model until it is consistent with the actual location revealed by the drilling data.

[0201] 3) Determine the actual occurrence characteristics of the fault according to the dip and inclination information in the fault occurrence information; adjust the model occurrence of the fault sub-model according to the actual occurrence characteristics of the fault; for example, in the 3D modeling software, use tools such as rotation and tilt to adjust the occurrence of the fault sub-model to make it consistent with the actual occurrence revealed by the drilling data. During the adjustment process, the spatial relationship between the fault model and other geological bodies is maintained in coordination.

[0202] 4) Determine the actual scale parameters of the fault according to the fault extension length, width and impact range information in the fault scale information; expand or reduce the fault sub-model according to the actual scale parameters of the fault; for example, the fault model can be stretched in the software to match the actual length.

[0203] 5) Identify the structural features inside the fault (including fracture zones, slip surfaces, fault mud, etc.) based on the core catalog and logging curve information in the internal structural information of the fault; create corresponding model elements (such as facets, blocks, etc.) in the fault sub-model to represent the structural features based on the structural features inside the fault.

[0204] 6. Modification of the waterlogged area sub-model

[0205] In this embodiment, the waterlogging area sub-model is corrected by the following steps:

[0206] S501: Acquire hydrological borehole data and hydrological monitoring data related to the waterlogging area sub-model, including the borehole opening coordinates, azimuth and inclination, and water level data;

[0207] S502: Generate a ray by calculating the hole opening coordinates, azimuth and inclination data of the borehole, where the ray represents the extension direction of the borehole in three-dimensional space; perform intersection detection on the ray and the water accumulation area sub-model to find the intersection position coordinates of the borehole and the water accumulation area;

[0208] S503: Determine the top water level elevation and the bottom water level elevation of the waterlogged area at the intersection position coordinates according to the water level data of the borehole; generate new top plate coordinates and bottom plate coordinates in the waterlogged area sub-model according to the elevation information;

[0209] S504: insert new points at corresponding positions of the waterlogging area sub-model according to the top plate coordinates and bottom plate coordinates generated in step S503; use the Delaunay algorithm to triangulate the top plate grid and bottom plate grid coordinates of the waterlogging area sub-model, and update the grid structure of the waterlogging area sub-model.

[0210] In other preferred embodiments, the coal seam sub-model may also be corrected by the following logic:

[0211] 1) Obtain hydrological monitoring data related to the waterlogged area, including waterlogging range information, waterlogging depth information, and waterlogging change information;

[0212] 2) Calculate the actual waterlogging range of the waterlogging area based on the real-time water level data, rainfall data and video monitoring data in the waterlogging range information; adjust the model waterlogging range of the waterlogging area sub-model according to the actual waterlogging range of the waterlogging area; use editing tools (such as stretching, cropping, filling, etc.) in the 3D modeling software to adjust the range of the waterlogging area model to ensure that the adjusted waterlogging range is consistent with the actual waterlogging range revealed by the hydrological monitoring data.

[0213] 3) Analyze the water level change data of the waterlogged area according to the highest water level, lowest water level and water level change trend in the waterlogged depth information, and determine the maximum waterlogged depth, average waterlogged depth and spatial distribution of the waterlogged depth; adjust the waterlogged depth locally or globally to the waterlogged area submodel according to the maximum waterlogged depth, average waterlogged depth and spatial distribution of the waterlogged depth; use the height adjustment tool to modify the depth locally or globally to the waterlogged subarea model to ensure that the waterlogged depth in the model is consistent with the actual monitoring data.

[0214] Embodiment 2:

[0215] This embodiment discloses a system for automatic geological model building and dynamic accuracy correction, which is implemented based on the method for automatic geological model building and dynamic accuracy correction described in the first embodiment.

[0216] Automatic geological model building and dynamic accuracy correction system, including:

[0217] The three-dimensional modeling module is used to perform three-dimensional modeling based on the existing geological data and generate a geological model including a tunnel sub-model, a coal seam sub-model, a working face sub-model, a fault sub-model and a waterlogged area sub-model;

[0218] Data acquisition module, used to obtain coal prospecting point data, drilling data and hydrological monitoring data;

[0219] The model correction module is used to correct each sub-model of the geological model through the acquired coal exploration point data, drilling data, hydrological drilling data and hydrological monitoring data.

[0220] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit the technical solution. Those skilled in the art should understand that those modifications or equivalent substitutions of the technical solution of the present invention that do not depart from the purpose and scope of the technical solution should be included in the scope of the claims of the present invention.

Claims

1. A method for automatic modeling and dynamic accuracy correction of geological models, characterized in that: include: S1: 3D modeling is performed using existing geological data to generate a geological model including tunnel sub-model, coal seam sub-model, working face sub-model, fault sub-model and waterlogged area sub-model; S2: Modify the tunnel sub-model of the geological model through the acquired coal exploration point data; S3: Modify the coal seam sub-model and working face sub-model of the geological model through the acquired coal exploration point data and drilling data; S4: Modify the fault sub-model of the geological model by using the acquired drilling data; S5: Modify the waterlogging area sub-model of the geological model through the acquired hydrological borehole data and hydrological monitoring data; S6: Repeat steps S2 to S5 to modify each sub-model of the geological model until a refined geological model is obtained.

2. The method for automatic geological model building and dynamic accuracy correction according to claim 1, characterized in that: In step S1, the geological model is constructed by the following steps: S101: Identify, classify and sequence the strata through the drilling data in the geological data, and generate a strata sub-model containing several strata; S102: Constructing a tunnel sub-model based on geological exploration data, mining engineering plan and construction measurement data; S103: constructing a coal seam sub-model based on coal seam exploration data, coal seam gas well data and geological maps; S104: constructing a working face model according to the mining design drawing, production plan, geological exploration data and mining engineering plan; S105: constructing a fault sub-model according to the drilling data and the geophysical profile data; S106: construct a waterlogging area sub-model based on hydrogeological exploration data, groundwater monitoring data and topographic data; S107: The waterlogged area sub-model, the tunnel sub-model, the coal seam sub-model, the fault sub-model and the working face sub-model are integrated with the stratum sub-model to generate three-dimensional grid data of the geological model.

3. The method for automatic geological model building and dynamic accuracy correction according to claim 1, characterized in that: In step S107, model fusion is performed through the following steps: S1071: Determine the relative position, shape, boundary and fusion priority of each sub-model in the three-dimensional space; S1072: Use the stratigraphic submodel as the basic framework of the geological model; S1073: Add the coal seam submodel to the geological model in the form of a three-dimensional entity according to the thickness, dip and continuity of the coal seam; S1074: Based on the stratigraphic sub-model, the fault sub-model is embedded into the geological model in the form of a three-dimensional entity according to the spatial position, occurrence, fault distance and contact relationship with the stratigraphic layer and the coal seam of the fault; S1075: adding the tunnel sub-model to the geological model in the form of a three-dimensional entity according to the contact relationship between the tunnel and the stratum, the intersection relationship with the fault, and the spatial position relationship with other tunnels; S1076: Add the working face sub-model to the geological model in the form of a three-dimensional entity according to the spatial relationship between the working face and the coal seam, tunnel, fault and waterlogging area and its own position and shape; S1077: Add the waterlogging area submodel to the geological model in the form of a three-dimensional entity based on the spatial distribution, scope, water level of the waterlogging area and the spatial consistency with other submodels.

4. The method for automatic geological model building and dynamic accuracy correction according to claim 1, characterized in that: In step S2, the lane sub-model is modified by the following steps: S201: Acquire coal exploration point data related to the roadway, including roadway location data of the coal exploration point, and top coal and bottom coal data; S202: Calculating the actual coordinates of the coal exploration points in the roadway according to the roadway position data of each coal exploration point; S203: Mapping the actual coordinates of each coal probe in the tunnel to the corresponding position of the tunnel sub-model; S204: Correcting the model grid coordinate data of the tunnel sub-model at the corresponding position according to the actual coordinates of each coal exploration and the top coal and bottom coal data.

5. The method for automatic geological model building and dynamic accuracy correction according to claim 4, characterized in that: In step S202, a plurality of guide wire points are set in the two-dimensional plan view of the tunnel, and each guide wire point is connected to form the center line of the tunnel; the tunnel position data of the coal exploration point includes the distance between the coal exploration point and the tunnel entrance; The actual coordinates of the coal exploration point in the tunnel are calculated using the following formula: x=x1+dx*(ld); y=y1+dy*(ld); z=z1+dz*(ld); In the formula: (x, y, z) represents the actual coordinates of the coal exploration point in the tunnel; (x1, y1, z1) represents the coordinates of the previous traverse point at the location of the coal exploration point; (dx, dy, dz) represents the direction of the line segment formed by connecting the previous traverse point and the next traverse point at the location of the coal exploration point; l represents the distance between the coal exploration point and the tunnel entrance; d represents the distance between the previous traverse point at the location of the coal exploration point and the tunnel entrance.

6. The method for automatic geological model building and dynamic accuracy correction according to claim 1, characterized in that: In step S3, the coal seam sub-model is corrected by the following steps: S301: Acquire coal exploration point data and drilling data related to the coal seam, including the location coordinates of the coal exploration point and the drilling hole and the roof and floor depth data when penetrating the coal seam; S302: Calculate the actual thickness of the coal seam based on the roof and floor depth data of the coal exploration point and the drill hole penetrating the coal seam; S303: determining the area of ​​the coal seam sub-model that needs to be corrected according to the position coordinates of the coal exploration point and the drill hole; in the area of ​​the coal seam sub-model that needs to be corrected, calculating the coal seam thickness of the grid node by using the spatial interpolation method based on the calculated actual thickness of the coal seam; S304: adjusting the coal seam roof and floor coordinate data of the grid nodes in the area to be corrected of the coal seam sub-model according to the coal seam thickness obtained by interpolation calculation; The elevation of the coal seam roof coordinate point is the tunnel top elevation plus the actual coal seam thickness, and the elevation of the coal seam floor coordinate point is the tunnel bottom elevation minus the actual coal seam thickness.

7. The method for automatic geological model building and dynamic accuracy correction according to claim 6, characterized in that: In step S3, the working face model is corrected by the following steps: S311: extracting boundary contour data of the working face model in the coal seam; S312: Obtain the coal seam sub-model corrected in step S304; S313: cutting the corrected coal seam sub-model using the extracted boundary contour data; filling the cut coal seam roof and floor models into the working face sub-model to achieve correction of the working face sub-model.

8. The method for automatic geological model building and dynamic accuracy correction according to claim 1, characterized in that: In step S4, the fault sub-model is modified by the following steps: S401: Acquire drilling data related to the fault, including the location coordinates of the drilling hole and the coal-seeing and coal-stopping depth data; S402: Identify the drill holes where the coal seam position suddenly changes, i.e., penetrate the fault, based on the coal-seeing and coal-stopping depth data of each drill hole; S403: Calculate the strike angle of the fault through the coordinates of the drilling position penetrating the fault, and record the coordinate array of the strike of the hanging wall of the fault; S404: According to the sequence and position mutation points of the boreholes penetrating various strata, the data of each borehole is compared and analyzed to determine the inclination data of the fault; S405: Continuously correct the hanging wall coordinates, strike and dip of the fault sub-model through the strike angle, hanging wall strike coordinate array and dip data in steps S403 and S404.

9. The method for automatic geological model building and dynamic accuracy correction according to claim 1, characterized in that: In step S5, the waterlogged area sub-model is modified by the following steps: S501: Acquire hydrological borehole data and hydrological monitoring data related to the waterlogging area sub-model, including the borehole opening coordinates, azimuth and inclination, and water level data; S502: Generate a ray by calculating the hole opening coordinates, azimuth and inclination data of the borehole, where the ray represents the extension direction of the borehole in three-dimensional space; perform intersection detection on the ray and the water accumulation area sub-model to find the intersection position coordinates of the borehole and the water accumulation area; S503: Determine the top water level elevation and the bottom water level elevation of the waterlogged area at the intersection position coordinates according to the water level data of the borehole; generate new top plate coordinates and bottom plate coordinates in the waterlogged area sub-model according to the elevation information; S504: insert new points at corresponding positions of the waterlogging area sub-model according to the top plate coordinates and bottom plate coordinates generated in step S503; use the Delaunay algorithm to triangulate the top plate grid and bottom plate grid coordinates of the waterlogging area sub-model, and update the grid structure of the waterlogging area sub-model.

10. A geological model automatic modeling and precision dynamic correction system, characterized by: The method for automatic modeling and dynamic accuracy correction of geological models according to claim 1 is implemented, comprising: The three-dimensional modeling module is used to perform three-dimensional modeling based on the existing geological data and generate a geological model including a tunnel sub-model, a coal seam sub-model, a working face sub-model, a fault sub-model and a waterlogged area sub-model; Data acquisition module, used to obtain coal exploration point data, drilling data and hydrological monitoring data; The model correction module is used to correct each sub-model of the geological model through the acquired coal exploration point data, drilling data, hydrological drilling data and hydrological monitoring data.

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