Intelligent mine geological modeling method and system

By acquiring and processing geological data of coal seams in mines, and generating integrated geological body boundaries and triangular mesh structures, the problem of existing three-dimensional geological models being unable to express complex geological structures is solved, and more accurate simulation modeling of mine geological structures is achieved.

CN115578527BActive Publication Date: 2026-03-27JINGYING SHUZHI TECH HLDG CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-09-30
Publication Date
2026-03-27

AI Technical Summary

Technical Problem

Existing three-dimensional geological models are unable to accurately represent complex geological structures and have failed to achieve deep data fusion.

Method used

By acquiring geological data of each coal seam in the target mine, the boundaries and triangular network structure of the fused geological body are generated, and a fused geological body model is constructed.

Benefits of technology

It has enabled simulation modeling of mine geological structures, improved the professional level of geological data analysis, and can accurately represent complex geological structures.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The application provides a kind of intelligent mine geological modeling method and system, first, the geological data corresponding to each coal seam in target mine is obtained, then the corresponding fusion geological body boundary is generated for each coal seam in target mine based on the obtained geological data, then the corresponding fusion geological body triangulation structure is generated for each coal seam in target mine based on the obtained geological data and the obtained fusion geological body boundary, and finally the corresponding fusion geological body model of target mine is generated based on the corresponding fusion geological body triangulation structure of each coal seam in target mine. The technical problem that the existing mine geological model is difficult to accurately express complex geological structure can be alleviated by using the present application.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to an intelligent mine geological modeling method and system. BACKGROUND

[0002] In the process of mine production, fine exploration of geological conditions is a basic link, and finding out and reconstructing transparent geological conditions of coal mining is a basic guarantee for accurate mining and clean utilization. The existing three-dimensional geological model mainly superimposes data of different detection technologies, and has not yet carried out deep fusion of data, so it is difficult to accurately express complex geological structure. SUMMARY

[0003] Therefore, the purpose of the present application is to provide an intelligent mine geological modeling method and system to alleviate the technical problem that the existing mine geological model is difficult to accurately express complex geological structure.

[0004] In a first aspect, an embodiment of the present application provides an intelligent mine geological modeling method, which comprises: acquiring geological data corresponding to each coal seam in a target mine; wherein the geological data comprises a geological body node, detection data and a geological structure set; for each coal seam in the target mine, generating a fusion geological body boundary corresponding to the coal seam based on the geological data corresponding to the coal seam; for each coal seam in the target mine, generating a fusion geological body triangulation structure corresponding to the coal seam based on the fusion geological body boundary corresponding to the coal seam and the geological data corresponding to the coal seam; and generating a fusion geological body model corresponding to the target mine based on the fusion geological body triangulation structure corresponding to each coal seam in the target mine.

[0005] In a second aspect, an embodiment of the present application further provides an intelligent mine geological modeling system, which comprises: an acquisition module for acquiring geological data corresponding to each coal seam in a target mine; wherein the geological data comprises a geological body node, detection data and a geological structure set; a boundary generation module for generating a fusion geological body boundary corresponding to each coal seam in the target mine based on the geological data corresponding to the coal seam; a triangulation structure generation module for generating a fusion geological body triangulation structure corresponding to each coal seam in the target mine based on the fusion geological body boundary corresponding to the coal seam and the geological data corresponding to the coal seam; and a model generation module for generating a fusion geological body model corresponding to the target mine based on the fusion geological body triangulation structure corresponding to each coal seam in the target mine.

[0006] The intelligent mine geological modeling method and system provided by the embodiment of the present application first acquires the geological data corresponding to each coal seam in the target mine, then generates the corresponding fusion geological body boundary for each coal seam in the target mine based on the acquired geological data, then generates the corresponding fusion geological body triangulation structure for each coal seam in the target mine based on the acquired geological data and the obtained fusion geological body boundary, and finally generates the corresponding fusion geological body model of the target mine based on the fusion geological body triangulation structure corresponding to each coal seam in the target mine. By using the above technology, the simulation modeling of the mine geological structure can be realized, the actual mine geological structure expression effect is met, the professional level of the geological data analysis application is greatly improved, and thus the technical problem that the existing mine geological model is difficult to accurately express the complex geological structure is relieved.

[0007] Other features and advantages of the present application will be set forth in the descriptions below, and in part will become apparent to those skilled in the art from the descriptions below, or can be learned by practice of the present application. The purposes and other advantages of the present application can be realized and obtained by the structure particularly pointed out in the descriptions, claims and drawings.

[0008] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are specifically described below, and the accompanying drawings are described in detail as follows. BRIEF DESCRIPTION OF DRAWINGS

[0009] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0010] Figure 1 It is a flowchart of an intelligent mine geological modeling method in the embodiment of the present application;

[0011] Figure 2 It is an example diagram of a geological body node and detection data in the embodiment of the present application;

[0012] Figure 3 It is an example diagram of a boundary polygon in the embodiment of the present application;

[0013] Figure 4 It is an example diagram of a collapse column set in the embodiment of the present application;

[0014] Figure 5 It is an example diagram of a fault set in the embodiment of the present application;

[0015] Figure 6 It is an example diagram of a geological structure set in the embodiment of the present application;

[0016] Figure 7 An example diagram of fusing geologic body boundaries in an embodiment of the present application;

[0017] Figure 8 An example diagram of fusing points inside geologic body boundaries in an embodiment of the present application;

[0018] Figure 9 An example diagram of fusing points on geologic body boundaries in an embodiment of the present application;

[0019] Figure 10 An example diagram of fusing a pre-triangle mesh structure in an embodiment of the present application;

[0020] Figure 11 An example diagram of fusing a geologic body triangle mesh structure in an embodiment of the present application;

[0021] Figure 12 An example diagram of a multi-layer fused geologic body model in an embodiment of the present application;

[0022] Figure 13 An example diagram of one of a single-layer fused geologic body model in an embodiment of the present application;

[0023] Figure 14 Another example diagram of a single-layer fused geologic body model in an embodiment of the present application;

[0024] Figure 15 An example diagram of an intelligent mine geologic modeling method in an embodiment of the present application;

[0025] Figure 16 A structural schematic diagram of an intelligent mine geologic modeling system in an embodiment of the present application;

[0026] Figure 17 A structural schematic diagram of another intelligent mine geologic modeling system in an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to make the objects, technical solutions and advantages of embodiments of the present application clearer, the technical solutions of the present application will be described below in conjunction with embodiments. Obviously, the described embodiments are only a part of embodiments of the present application, rather than all embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0028] At present, in the mine production process, the fine exploration of geological conditions is the basic link, and the transparent geological conditions of coal mining are found out and reconstructed, which is the basic guarantee for accurate mining and clean utilization. The existing three-dimensional geological model mainly superimposes the data of different detection technologies, and has not carried out deep fusion of data, and it is difficult to accurately express the complex geological structure. Based on this, the intelligent mine geological modeling method and system provided by the embodiment can alleviate the technical problem that the existing mine geological model is difficult to accurately express the complex geological structure.

[0029] In order to facilitate the understanding of the present embodiment, first of all, a kind of intelligent mine geological modeling method disclosed by the embodiment of the present application is introduced in detail, referring to Figure 1 The flow chart of the method can include the following steps:

[0030] Step S102, the geological data corresponding to each coal seam in the target mine is obtained;Wherein, the geological data includes geological body node, detection data and geological structure set.

[0031] Step S104, for each coal seam in the target mine, the fusion geological body boundary corresponding to the coal seam is generated based on the geological data corresponding to the coal seam.

[0032] Step S106, for each coal seam in the target mine, the fusion geological body triangulation structure corresponding to the coal seam is generated based on the fusion geological body boundary corresponding to the coal seam and the geological data corresponding to the coal seam.

[0033] Step S108, based on the fusion geological body triangulation structure corresponding to each coal seam in the target mine, the fusion geological body model corresponding to the target mine is generated.

[0034] The intelligent mine geological modeling method provided by the embodiment of the present application first obtains the geological data corresponding to each coal seam in the target mine, then generates the corresponding fusion geological body boundary for each coal seam in the target mine based on the obtained geological data, then generates the corresponding fusion geological body triangulation structure for each coal seam in the target mine based on the obtained geological data and the obtained fusion geological body boundary, and finally generates the fusion geological body model corresponding to the target mine based on the fusion geological body triangulation structure corresponding to each coal seam in the target mine. The above technology can realize the simulation modeling of mine geological structure, which conforms to the actual mine geological structure expression effect, greatly improves the professional level of geological data analysis application, and thus alleviates the technical problem that the existing mine geological model is difficult to accurately express the complex geological structure.

[0035] As a possible implementation, the step of generating the fused geobody boundary corresponding to the coal seam based on the geological data corresponding to the coal seam can include the following operations:

[0036] (11) generating the corresponding boundary polygon for the coal seam based on the geobody node corresponding to the coal seam and the detection data corresponding to the coal seam.

[0037] For example, as shown in Figure 2 and Figure 3 , for a certain coal seam, first obtain the geobody node corresponding to the coal seam and the detection data corresponding to the coal seam (i.e., the point elements in Figure 2 ); then use the Graham Scan algorithm to process the geobody node corresponding to the coal seam and the detection data corresponding to the coal seam to generate the boundary polygon corresponding to the coal seam (i.e., the outer polygon in Figure 3 ).

[0038] (12) generating the fused geobody boundary corresponding to the coal seam based on the boundary polygon corresponding to the coal seam and the geological structure set corresponding to the coal seam.

[0039] For example, as shown in Figures 3 to 7 , for a certain coal seam, after obtaining the boundary polygon corresponding to the coal seam (i.e., the outer polygon in Figure 3 ), obtain the geometric structure of each geological structure corresponding to the coal seam, and aggregate the obtained geometric structure of each type of geological structure into a corresponding set according to the type of geological structure (i.e., the sink hole column set containing two sink hole columns in Figure 4 and the fault set containing one fault in Figure 5 ), then aggregate the set corresponding to each type of geological structure into the geological structure set corresponding to the coal seam (i.e., the geological structure set containing two sink hole columns and one fault in Figure 6 ); then calculate the difference set between the boundary polygon corresponding to the coal seam and the geological structure set corresponding to the coal seam (i.e., subtract the two sink hole columns and one fault in Figure 6 ), to obtain the fused geobody boundary corresponding to the coal seam (i.e., the fused geobody boundary after subtracting the two sink hole columns and one fault in Figure 7 ).

[0040] As a possible implementation, the step of generating the fused geobody boundary corresponding to the coal seam based on the geological data corresponding to the coal seam can include the following operations:

[0041] (21) based on the fusion geobody boundary corresponding to the coal seam, obtaining the fusion geobody node corresponding to the coal seam; wherein, the fusion geobody node includes the geobody node and the detection data inside the fusion geobody boundary and the geobody node and the detection data on the fusion geobody boundary;

[0042] Exemplarily, referring to Figures 7 to 9 , for a certain coal seam, after obtaining the fusion geobody boundary corresponding to the coal seam (i.e. the fusion geobody boundary in Figure 7 ), the geobody node and the detection data inside the fusion geobody boundary (i.e. the points inside the fusion geobody boundary in Figure 8 ) and the geobody node and the detection data on the fusion geobody boundary (i.e. the points on the fusion geobody boundary in Figure 9 ) are obtained, and the obtained geobody node and detection data are aggregated into a point set, each point in the point set being each fusion geobody node corresponding to the coal seam.

[0043] (22) based on the fusion geobody node corresponding to the coal seam and the geological structure set corresponding to the coal seam, generating the fusion geobody triangulation structure corresponding to the coal seam.

[0044] As a feasible operation mode, based on the fusion geobody node corresponding to the coal seam, the first triangulation structure corresponding to the coal seam can be generated; and based on the geological structure set corresponding to the coal seam, the second triangulation structure corresponding to the coal seam can be generated; then the first triangulation structure corresponding to the coal seam and the second triangulation structure corresponding to the coal seam are fused to obtain the fusion geobody triangulation structure corresponding to the coal seam; wherein, the fusion includes removing the part of the first triangulation structure corresponding to the coal seam and the first triangulation structure corresponding to the coal seam.

[0045] Exemplarily, referring to Figure 6 and Figures 8 to 11 , for a certain coal seam, after obtaining the geological structure set corresponding to the coal seam (i.e. the geological structure set containing two collapse columns and a fault in Figure 6 ) and the fusion geobody node corresponding to the coal seam (containing the points inside the fusion geobody boundary in Figure 8 and the points on the fusion geobody boundary in Figure 9 ), the triangulation algorithm can be used to generate the triangulation structure of the fusion geobody node (i.e. Figure 10the first triangulation structure) and generate a triangulation structure (i.e., a second triangulation structure) of the set of geological structures using a triangulation algorithm; then fuse the obtained first triangulation structure and the obtained second triangulation structure, and remove the overlapping part of the first triangulation structure corresponding to the coal seam and the first triangulation structure corresponding to the coal seam during the fusion process, and obtain the fused geological body triangulation structure corresponding to the coal seam after the fusion process is completed (i.e., Figure 11 the fused geological body triangulation structure after removing the three positions marked by black dots in FIG. 13B).

[0046] As a possible implementation, before the step of obtaining the geological data corresponding to each coal seam in the target mine, the intelligent mine geological modeling method can further include the following operation mode:

[0047] (31) Obtain the geological exploration result data of the target mine.

[0048] The geological exploration result data can include contour maps, underground space data, and geological structure maps, etc., and can be determined according to actual needs, which is not limited.

[0049] (32) Based on each contour line in the contour map, generate all geological body nodes of the target mine; each geological body node includes a coal seam identifier, a position coordinate, and a coal seam thickness.

[0050] As a possible operation mode, the operation mode of (32) can include: for each contour line in the contour map, convert the contour line into a third initial point set composed of a plurality of third initial point elements, and determine the associated geological drill hole corresponding to each third initial point element by spatial connection; for each third initial point element, associate the third initial point element with the coal seam thickness of the associated geological drill hole corresponding to the third initial point element to form a third point element; and determine all the obtained third point elements as all the geological body nodes of the target mine.

[0051] Exemplarily, for each contour line in the contour map, a point (i.e., the third initial point element) can be created at each inflection point of the contour line, and a point set (i.e., the third initial point set) can be formed by all the points created for the contour line, so that the contour line can be represented by the third initial point set, each point in the third initial point set has its own X coordinate, Y coordinate and Z coordinate; for each point in the third initial point set, the point is matched to the closest geological drillhole based on the X coordinate, Y coordinate and Z coordinate of the point using a spatial connection method, and the geological drillhole is determined as the associated geological drillhole corresponding to the point; since each geological drillhole has its own coal seam, and each coal seam has its own coal seam identifier and coal seam thickness, for each point in the third initial point set, after matching to the associated geological drillhole corresponding to the point, the coal seam thickness of the associated geological drillhole corresponding to the point can be associated with the point, so as to obtain a new point (i.e., the third point element); after obtaining all the third point elements corresponding to each contour line in the contour map, each third point element can be taken as a geological body node, so that all the third point elements form a point set (i.e., the third point set), and the third point set is taken as all the geological body nodes of the target mine, and each geological body node has its own coal seam identifier, X coordinate, Y coordinate, Z coordinate, coal seam thickness and other main attributes.

[0052] (33) Based on the underground space data, a plurality of first point elements are generated, and all the obtained first point elements are determined as all the exploration data of the target mine; wherein each exploration data includes a coal seam identifier, a position coordinate and a coal seam thickness.

[0053] The underground space data can be obtained by three-dimensional seismic exploration, laser scanning and other technologies, and can include hydrological drilling data, gas drilling data, geophysical anomaly data and the like. The hydrological drilling data represents a drillhole for investigating hydrogeological conditions such as underground water; the gas drilling data represents a drillhole in a coal seam gas accumulation area; and the geophysical anomaly data represents a geological factor of a region (i.e., a geophysical anomaly region) causing a geophysical anomaly, which is usually a geological body with a wide distribution range and a deep burial depth.

[0054] Exemplarily, the obtained underground space data can be sorted as needed, and then the target underground space data required can be selected from the obtained underground space data; and then the target underground space data is converted into a plurality of data points (i.e., the first point elements), and each first point element is taken as an exploration data, so that all the first point elements form a point set, and the point set is taken as all the exploration data of the target mine, and each exploration data has its own coal seam identifier, X coordinate, Y coordinate, Z coordinate, coal seam thickness and other main attributes.

[0055] (34) generating a geological structure set of the target mine based on each geological structure in the geological structure map; wherein the geological structure set is composed of geometric structures of multiple geological structures, and each geometric structure of a geological structure is composed of multiple second point elements, each of which respectively includes a structure code of the corresponding geological structure, a point serial number, a coal seam identifier, and a location coordinate.

[0056] Each geological structure in the geological structure map described above is usually identified through geological exploration means such as geophysical exploration. The specific geological exploration means can be selected as needed and is not limited.

[0057] As a feasible operation mode, the operation mode of (34) can include: for each geological structure in the geological structure map, converting the geological structure into multiple third initial point elements; wherein each third initial point element respectively includes a structure code of the corresponding geological structure, a point serial number, a coal seam identifier, and a location coordinate; grouping all the obtained third initial point elements according to the structure code of the corresponding geological structure, and sorting according to the point serial number to obtain multiple groups of third point elements after sorting; taking each group of third point elements obtained as a geometric structure of a geological structure, and generating a geological structure set of the target mine.

[0058] Illustratively, each geological structure in the geological structure map described above is identified through geophysical exploration. All geological structures (such as faults, collapse columns, etc.) identified through geophysical exploration in the geological structure map can be extracted, and each extracted geological structure can be converted into a corresponding plurality of points (i.e. the multiple third initial point elements described above), each third initial point element respectively including a structure code of the corresponding geological structure, a point serial number, a coal seam identifier, X coordinate, Y coordinate, Z coordinate, and other main attributes; then grouping all the obtained third initial point elements according to the structure code, and sorting according to the point serial number to obtain multiple groups of points after sorting (i.e. the multiple groups of third point elements described above); then taking each group of third point elements obtained as a geometric structure of a geological structure, thereby forming a geometric structure set from all the groups of third point elements obtained, and taking the geometric structure set as a geological structure set of the target mine.

[0059] As a possible implementation, the geological data corresponding to each coal seam in the target mine can include a coal seam identifier. Based on this, the intelligent mine geological modeling method can further include the following operation mode: determining the geological data corresponding to each coal seam in the target mine respectively according to the coal seam identifier.

[0060] Exemplarily, for each coal seam in the target mine, the geological body node corresponding to the coal seam, the exploration data corresponding to the coal seam and the set of geological structures corresponding to the coal seam can be screened out according to the coal seam identifier of the coal seam, so that the respective corresponding geological data of each coal seam in the target mine can be determined according to the operation mode.

[0061] For the convenience of understanding, the above-mentioned intelligent mine geological modeling method is exemplarily described as follows by taking Figures 2 to 15 as an example.

[0062] Referring to Figure 15 , the intelligent mine geological modeling is divided into three parts of data construction, model construction and model output.

[0063] Referring to Figure 15 , the data construction can include the following steps:

[0064] Step 1.1, extracting the coal seam information (including X coordinate, Y coordinate, Z coordinate, coal seam identifier, coal seam thickness, etc.) of each geological drill hole from the drilling data of the target mine, and saving all the extracted coal seam identifiers to the coal seam identifier list of the target mine.

[0065] Step 1.2, extracting each contour line of the contour map from the geophysical prospecting data (including contour map, underground space data and geological structure map) of the target mine; respectively converting each contour line into a plurality of points, each point having X coordinate, Y coordinate and Z coordinate; for each point, respectively matching the point to the nearest geological drill hole (i.e. associated geological drill hole) through spatial connection, and associating the coal seam identifier and the coal seam thickness of the associated geological drill hole corresponding to the point to the point, and taking the new point obtained after association as a geological body node of the target mine.

[0066] The above-mentioned processing method of the coal seam information and the contour line of the geological drill hole in step 1.2 can be regarded as a data fusion method, by which the whole geological body node of the target mine can be obtained, and each geological node has main attributes such as X coordinate, Y coordinate, Z coordinate, coal seam identifier and coal seam thickness.

[0067] Step 1.3, extracting corresponding underground space data and all geological structures (including faults and collapse columns) in the geological structure map from the geophysical data of the target mine, and respectively converting the extracted underground space data and each geological structure into a plurality of corresponding points, thereby obtaining all detection data of the target mine, all fault data of the target mine and all collapse column data of the target mine, and each detection data respectively includes coal seam identification, X coordinate, Y coordinate, Z coordinate, coal seam thickness and other main attributes, each fault data respectively includes structure code of the corresponding fault, point serial number, coal seam identification, X coordinate, Y coordinate, Z coordinate and other main attributes, and each collapse column data respectively includes structure code of the corresponding collapse column, point serial number, coal seam identification, X coordinate, Y coordinate, Z coordinate and other main attributes.

[0068] In the above step 1.1 to the above step 1.3, the arcgis software can be used to convert the line or surface elements in the drawing data (such as contour map, geological structure map, etc.) into point set, and the instrument detection data (such as underground space data, etc.) can be directly imported into the spatial database (such as PostgreSQL, etc.) and the line or surface records in the instrument detection data can be converted into point records by using the plug-ins and functions provided by the spatial database. The specific operation mode can be selected according to actual needs, and no limitation is made.

[0069] Referring to Figure 15 The model construction can include the following steps:

[0070] Step 2.1, obtaining the coal seam identification corresponding to each coal seam in the target mine from the pre-saved coal seam identification list of the target mine.

[0071] Step 2.2, screening out the geological body node and detection data corresponding to each coal seam in the target mine according to the coal seam identification, thereby obtaining the single coal seam geological body node and single coal seam detection data corresponding to each coal seam in the target mine (for example, as shown in Figure 2 For the single coal seam geological body node and single coal seam detection data corresponding to each coal seam in the target mine, the Graham Scan algorithm is used to generate the outer polygon (i.e. the boundary polygon, for example, as shown in Figure 3

[0072] ​Step 2.3, according to the seam identification, obtain the fault data and collapse column data corresponding to each seam in the target mine; group the fault data and collapse column data corresponding to each seam in the target mine according to the structure code, and sort them according to the point sequence number; then take each group of fault data as a fault geometric structure and each group of collapse column data as a collapse column geometric structure, thereby obtaining all single-seam fault geometric structures corresponding to each seam in the target mine and all single-seam collapse column geometric structures corresponding to each seam in the target mine; aggregate all single-seam fault geometric structures corresponding to each seam in the target mine into a corresponding geometric structure set (i.e., a fault set, such as shown in Figure 5 ), and aggregate all single-seam collapse column geometric structures corresponding to each seam in the target mine into a corresponding geometric structure set (i.e., a collapse column set, such as shown in Figure 4 ); for each seam in the target mine, obtain the union set of the fault set corresponding to the seam and the collapse column set corresponding to the seam, thereby obtaining the geometric structure set (i.e., the geological structure set, such as shown in Figure 6 ) corresponding to the seam.

[0073] Step 2.4, for each seam in the target mine, calculate the difference set between the boundary polygon corresponding to the seam and the geological structure set corresponding to the seam, thereby obtaining the fusion geological body boundary (such as shown in Figure 7 ) corresponding to the seam.

[0074] Step 2.5, for each seam in the target mine, obtain the geological body nodes and exploration data inside the fusion geological body boundary corresponding to the seam, and convert the fusion geological body boundary into a plurality of points, thereby obtaining the fusion geological body interior point set (such as shown in Figure 8 ) and the fusion geological body boundary point set (such as shown in Figure 9 ) corresponding to the seam; for each seam in the target mine, aggregate the fusion geological body interior point set and the fusion geological body boundary point set corresponding to the seam into a fusion geological body point set, and take the fusion geological body point set as the fusion geological body node corresponding to the seam.

[0075] Step 2.6, for each seam in the target mine, use the Delaunay triangulation algorithm to generate the fusion geological body triangulation structure (i.e., the first triangulation structure, such as shown in Figure 10and the geological structure triangulation structure corresponding to the coal seam (i.e., a second triangulation structure); then the fusion geological body triangulation structure corresponding to the coal seam is fused with the geological structure triangulation structure corresponding to the coal seam, and during the fusion process, the part of the first triangulation structure corresponding to the coal seam that coincides with the first triangulation structure corresponding to the coal seam is removed, and after the fusion process is completed, the fusion geological body triangulation structure corresponding to the coal seam is obtained (for example Figure 11 .

[0076] After the above steps 2.1 to 2.6, the fusion geological body triangulation structure corresponding to each coal seam in the target mine is obtained.

[0077] Referring to Figure 15 , the model output can include the following steps:

[0078] Step 3.1, output the fusion geological body triangulation structure corresponding to each coal seam in the target mine into a fusion geological body model corresponding to the target mine. The presentation form of the fusion geological body model can be a multi-layer fusion geological body model (for example Figure 12 . Figure 13 and Figure 14 .

[0079] Based on the above intelligent mine geological modeling method, the embodiment of the present application further provides an intelligent mine geological modeling system, referring to Figure 16 , the system can include the following modules:

[0080] The acquisition module 1602 is configured to acquire geological data corresponding to each coal seam in the target mine; wherein the geological data includes geological body nodes, detection data and a geological structure set.

[0081] The boundary generation module 1604 is configured to, for each coal seam in the target mine, generate a fusion geological body boundary corresponding to the coal seam based on the geological data corresponding to the coal seam.

[0082] The triangulation structure generation module 1606 is configured to, for each coal seam in the target mine, generate a fusion geological body triangulation structure corresponding to the coal seam based on the fusion geological body boundary corresponding to the coal seam and the geological data corresponding to the coal seam.

[0083] The model generation module 1608 is configured to generate a fusion geological body model corresponding to the target mine based on the fusion geological body triangulation structure corresponding to each coal seam in the target mine.

[0084] The intelligent mine geological modeling system provided in the embodiment of the present application first acquires the geological data corresponding to each coal seam in the target mine, then generates the corresponding fusion geological body boundary for each coal seam in the target mine based on the acquired geological data, and then generates the corresponding fusion geological body triangulation structure for each coal seam in the target mine based on the acquired geological data and the obtained fusion geological body boundary. Finally, the fusion geological body model corresponding to the target mine is generated based on the fusion geological body triangulation structure corresponding to each coal seam in the target mine. By using the above technology, the simulation modeling of the mine geological structure can be realized, the actual mine geological structure expression effect is met, and the professional level of geological data analysis and application is greatly improved, thereby relieving the technical problem that the existing mine geological model is difficult to accurately express the complex geological structure.

[0085] The boundary generation module 1604 can also be configured to: generate a boundary polygon corresponding to the coal seam based on the geological body node corresponding to the coal seam and the detection data corresponding to the coal seam; and generate the fusion geological body boundary corresponding to the coal seam based on the boundary polygon corresponding to the coal seam and the geological structure set corresponding to the coal seam.

[0086] The boundary generation module 1604 can also be configured to: calculate the difference set between the boundary polygon corresponding to the coal seam and the geological structure set corresponding to the coal seam, and obtain the fusion geological body boundary corresponding to the coal seam.

[0087] The triangulation structure generation module 1606 can also be configured to: acquire the fusion geological body node corresponding to the coal seam based on the fusion geological body boundary corresponding to the coal seam; wherein the fusion geological body node includes the geological body node and the detection data inside the fusion geological body boundary and the geological body node and the detection data on the fusion geological body boundary; and generate the fusion geological body triangulation structure corresponding to the coal seam based on the fusion geological body node corresponding to the coal seam and the geological structure set corresponding to the coal seam.

[0088] The triangulation structure generation module 1606 can also be configured to: generate the first triangulation structure corresponding to the coal seam based on the fusion geological body node corresponding to the coal seam; generate the second triangulation structure corresponding to the coal seam based on the geological structure set corresponding to the coal seam; and fuse the first triangulation structure corresponding to the coal seam and the second triangulation structure corresponding to the coal seam to obtain the fusion geological body triangulation structure corresponding to the coal seam; wherein the fusion includes removing the overlapping part of the first triangulation structure corresponding to the coal seam and the first triangulation structure corresponding to the coal seam.

[0089] Based on the above Figure 16 According to the intelligent mine geological modeling method shown in the embodiment of the present application, another intelligent mine geological modeling system is provided, which is described below with reference to Figure 17As shown, the system can further include:

[0090] The data construction module 1610 is configured to acquire geological exploration result data of the target mine; wherein the geological exploration result data includes contour maps, underground space data and geological structure maps; based on each contour line in the contour maps, all geological body nodes of the target mine are generated; wherein each of the geological body nodes includes coal seam identification, location coordinates and coal seam thickness; based on the underground space data, a plurality of first point elements are generated, and all the obtained first point elements are determined as all detection data of the target mine; wherein each of the detection data includes coal seam identification, location coordinates and coal seam thickness; based on each geological structure in the geological structure maps, a geological structure set of the target mine is generated; wherein the geological structure set is composed of geometric structures of a plurality of geological structures, and each geometric structure of a geological structure is composed of a plurality of second point elements, and each second point element includes structure code of the corresponding geological structure, point serial number, coal seam identification and location coordinates.

[0091] The data construction module 1610 can also be configured to: for each contour line in the contour maps, the contour line is converted into a third initial point set composed of a plurality of third initial point elements, and each third initial point element is determined to be associated with a corresponding associated geological drill hole through spatial connection; for each third initial point element, the third initial point element and the coal seam thickness of the associated geological drill hole corresponding to the third initial point element are associated into a third point element; and all the obtained third point elements are determined as all geological body nodes of the target mine.

[0092] The data construction module 1610 can also be configured to: for each geological structure in the geological structure maps, the geological structure is converted into a plurality of third initial point elements; wherein each of the third initial point elements includes structure code of the corresponding geological structure, point serial number, coal seam identification and location coordinates; all the obtained third initial point elements are grouped according to the structure code of the corresponding geological structure, and sorted according to the point serial number, to obtain a plurality of groups of sorted third point elements; and each group of the obtained third point elements is taken as a geometric structure of a geological structure, to generate the geological structure set of the target mine.

[0093] The geological data corresponding to each coal seam in the target mine can include coal seam identification; see Figure 17 As shown, the system can further include:

[0094] The determination module 1612 is configured to determine the geological data corresponding to each coal seam in the target mine according to the coal seam identification.

[0095] The intelligent mine geological modeling system provided by the embodiment of the present application has the same implementation principle and technical effects as the foregoing method embodiment, and for brief description, the system embodiment part is not mentioned in the foregoing method embodiment, and the corresponding content in the foregoing method embodiment can be referred to.

[0096] Finally, it should be noted that: the above-described embodiments are only specific embodiments of the present application, used to illustrate the technical solutions of the present application, and are not limited thereto. The protection scope of the present application is not limited thereto. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily think of changes to the technical solutions recorded in the foregoing embodiments within the technical range disclosed by the present application, or make equivalent replacements to some technical features. The modifications, changes or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for intelligent mine geological modeling, characterized in that, The method includes: Obtain geological exploration data of the target mine; wherein, the geological exploration data includes contour maps, underground space data, and geological structure maps; Based on each contour line in the contour map, all geological body nodes of the target mine are generated; wherein each geological body node includes a coal seam identifier, location coordinates, and coal seam thickness. Based on the underground space data, multiple first point elements are generated, and all the obtained first point elements are determined as the total detection data of the target mine; wherein, each of the detection data includes a coal seam identifier, location coordinates, and coal seam thickness; Based on each geological structure in the geological structure map, a set of geological structures for the target mine is generated; wherein, the set of geological structures consists of the geometric structures of multiple geological structures, and the geometric structure of each geological structure consists of multiple second point elements, each of which includes the structural code, point number, coal seam identifier and location coordinates of the corresponding geological structure. Obtain the geological data corresponding to each coal seam in the target mine; wherein, the geological data includes geological body nodes, detection data, and a set of geological structures; For each coal seam in the target mine, the boundary of the fused geological body corresponding to the coal seam is generated based on the geological data corresponding to the coal seam. For each coal seam in the target mine, a triangular network structure of the fused geological body corresponding to the coal seam is generated based on the boundary of the fused geological body corresponding to the coal seam and the geological data corresponding to the coal seam. Based on the triangular network structure of the fused geological body corresponding to each coal seam in the target mine, a fused geological body model corresponding to the target mine is generated; The step of generating the boundary of the fused geological body corresponding to the coal seam based on the geological data corresponding to the coal seam includes: generating a corresponding boundary polygon for the coal seam based on the geological body node corresponding to the coal seam and the detection data corresponding to the coal seam; and generating the boundary of the fused geological body corresponding to the coal seam based on the boundary polygon corresponding to the coal seam and the set of geological structures corresponding to the coal seam. The step of generating a triangular network structure of the fused geological body corresponding to the coal seam based on the boundary of the fused geological body and the geological data corresponding to the coal seam includes: obtaining the nodes of the fused geological body corresponding to the coal seam based on the boundary of the fused geological body; wherein, the nodes of the fused geological body include geological body nodes and detection data inside the boundary of the fused geological body and geological body nodes and detection data on the boundary of the fused geological body; generating a first triangular network structure corresponding to the coal seam based on the nodes of the fused geological body corresponding to the coal seam; generating a second triangular network structure corresponding to the coal seam based on the set of geological structures corresponding to the coal seam; fusing the first triangular network structure corresponding to the coal seam and the second triangular network structure corresponding to the coal seam to obtain the triangular network structure of the fused geological body corresponding to the coal seam; wherein, the fusion includes: removing the overlapping parts of the first triangular network structure corresponding to the coal seam and the first triangular network structure corresponding to the coal seam.

2. The method according to claim 1, characterized in that, The steps for generating the boundary of the fused geological body corresponding to the coal seam based on the boundary polygon corresponding to the coal seam and the set of geological structures corresponding to the coal seam include: Calculate the difference between the boundary polygon corresponding to the coal seam and the set of geological structures corresponding to the coal seam to obtain the boundary of the fused geological body corresponding to the coal seam.

3. The method according to claim 1, characterized in that, The step of generating all geological body nodes of the target mine based on each contour line in the contour map includes: For each contour line in the contour map, the contour line is converted into a set of third initial points consisting of multiple third initial point elements, and the associated geological boreholes corresponding to each third initial point element are determined by spatial connection. For each third initial point element, the third initial point element is associated with the coal seam thickness of the associated geological borehole corresponding to the third initial point element to form a third point element. All the obtained third-point elements are identified as all geological body nodes of the target mine.

4. The method according to claim 1, characterized in that, The step of generating a set of geological structures for the target mine based on each geological structure in the geological structure map includes: For each geological structure in the geological structure map, the geological structure is converted into multiple third initial point elements; wherein each third initial point element includes the structure code, point number, coal seam identifier and location coordinates of the corresponding geological structure; All the obtained third initial point elements are grouped according to the structural code of the corresponding geological structure, and sorted according to the point number to obtain multiple groups of sorted third point elements. Each group of third-point elements is treated as a geometric structure of a geological feature, generating a set of geological features for the target mine.

5. The method according to claim 1, characterized in that, The geological data corresponding to each coal seam in the target mine includes coal seam identification; the method further includes: Based on the coal seam identification, the geological data corresponding to each coal seam in the target mine are determined.

6. An intelligent mine geological modeling system, characterized in that, The system is applied to the intelligent mine geological modeling method according to any one of claims 1-5, and the system comprises: The data construction module is used for: acquiring geological exploration results data of the target mine; wherein the geological exploration results data includes contour maps, underground space data, and geological structure maps; generating all geological body nodes of the target mine based on each contour line in the contour map; wherein each geological body node includes a coal seam identifier, location coordinates, and coal seam thickness; generating multiple first point elements based on the underground space data, and determining all the obtained first point elements as the total detection data of the target mine; wherein each detection data includes a coal seam identifier, location coordinates, and coal seam thickness; generating a geological structure set of the target mine based on each geological structure in the geological structure map; wherein the geological structure set consists of the geometric structures of multiple geological structures, and the geometric structure of each geological structure consists of multiple second point elements, each second point element including the structural code, point number, coal seam identifier, and location coordinates of the corresponding geological structure; The acquisition module is used to acquire the geological data corresponding to each coal seam in the target mine; wherein, the geological data includes geological body nodes, detection data and geological structure sets; The boundary generation module is used to generate the boundary of the fused geological body corresponding to each coal seam in the target mine, based on the geological data corresponding to that coal seam. The triangular mesh structure generation module is used to generate a triangular mesh structure of the fused geological body corresponding to each coal seam in the target mine, based on the boundary of the fused geological body corresponding to the coal seam and the geological data corresponding to the coal seam. The model generation module is used to generate a fused geological body model corresponding to the target mine based on the fused geological body triangular network structure corresponding to each coal seam in the target mine.

Citation Information

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