Coal mine digital twin geologic model construction method and system based on precise exploration
By constructing a digital twin geological model of coal mines based on precise exploration, the problem that traditional geological modeling methods are difficult to achieve real-time dynamic updates and accurate predictions is solved, and transparent management of coal mine geological information and the safety and efficiency of mining processes are achieved.
Patent Information
- Application Number
- CN202411870822.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2025-04-04
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional geological modeling methods are difficult to meet the needs of real-time dynamic updates and accurate predictions during coal mining.
By obtaining ground static data, tunnel dynamic data and real-time coal mining data, preprocessing and integration, a three-dimensional dynamic geological model is constructed, and displayed through three-dimensional visualization technology.
It realizes transparent management of coal mine geological information, improves the safety and efficiency of coal mine mining, and ensures the real-time and accuracy of the model.
Smart Images

Figure CN119762698A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of coal mine geological modeling, and in particular to a method and system for constructing a coal mine digital twin geological model based on precise exploration. Background Art
[0002] In the process of coal mining, geological conditions are complex and changeable, and traditional geological modeling methods are difficult to meet the needs of real-time dynamic updates and accurate predictions. With the development of digital twin technology, the combination of accurate exploration data and three-dimensional geological modeling can realize the dynamic and transparent management of coal mine geological information and improve the safety and efficiency of coal mining.
[0003] Therefore, how to provide a digital twin geological model of coal mines that can achieve accurate exploration has become a technical problem that needs to be solved urgently. Summary of the invention
[0004] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide a method and system for constructing a digital twin geological model of a coal mine based on precise exploration, and to display the three-dimensional dynamic geological model through three-dimensional visualization technology. The present invention realizes transparent management of coal mine geological information through multi-source data fusion and dynamic updating, and provides a strong guarantee for safe and efficient mining of coal mines.
[0005] To achieve the above object, the present invention provides the following solutions:
[0006] A method for constructing a digital twin geological model of a coal mine based on precise exploration, comprising:
[0007] Obtain ground static data, tunnel dynamic data and coal mining real-time data respectively;
[0008] Preprocessing the ground static data, the tunnel dynamic data and the coal mining real-time data to obtain preprocessed data;
[0009] Integrating the preprocessed data, and constructing a three-dimensional dynamic geological model based on the integrated data;
[0010] Dynamically updating the three-dimensional dynamic geological model according to the real-time coal mining data to ensure the real-time and accuracy of the model;
[0011] The three-dimensional dynamic geological model is displayed through three-dimensional visualization technology.
[0012] Preferably, obtaining ground static data, tunnel dynamic data and coal mining real-time data respectively includes:
[0013] Acquiring the ground static data by means of geological survey, ground drilling, three-dimensional seismic and ground electrical method;
[0014] The dynamic data of the tunnel is obtained by means of tunnel exposure, downhole detection while drilling, channel wave detection, downhole electromagnetic method and geological radar;
[0015] The real-time coal mining data is obtained by means of mining exploration data, earthquakes during excavation, microseismic monitoring and electromagnetic monitoring.
[0016] Preferably, the ground static data, the tunnel dynamic data and the coal mining real-time data are preprocessed to obtain preprocessed data, including:
[0017] According to a preset collection cycle, the ground static data, the tunnel dynamic data and the coal mining real-time data are grouped to obtain a plurality of data groups;
[0018] Calculate the difference coefficient between the current data group and the previous data group in sequence;
[0019] Determine whether the value of the coefficient of difference is within a preset range;
[0020] If the value of the difference coefficient is not within the preset range, the corresponding data group is removed;
[0021] If the value of the difference coefficient is within a preset range, the corresponding data group is retained until all data groups are traversed to obtain the preprocessed data.
[0022] Preferably, the coefficient of difference calculation formula is:
[0023]
[0024] Among them, p X,Y is the coefficient of difference, cov(X,Y) represents the covariance between the current data set X and the previous data set Y, α X represents the mean of the current data set X, β Y Represents the mean of the previous data set Y.
[0025] Preferably, the three-dimensional dynamic geological model includes: a three-dimensional structural model, a three-dimensional lithology model, a three-dimensional gas geological model and a three-dimensional hydrogeological model.
[0026] Preferably, the output results of the three-dimensional dynamic geological model are geological plan views, cross-sectional views, and geological and hydrogeological results prediction report data.
[0027] Preferably, it also includes:
[0028] The geological plan, cross-section, and geological and hydrogeological prediction report data are input into the preset transparent coal mine geological support system to carry out coal mining planning, disaster prediction and safety management.
[0029] A coal mine digital twin geological model construction system based on precise exploration, including:
[0030] A data acquisition module is used to respectively acquire ground static data, tunnel dynamic data and coal mining real-time data;
[0031] A preprocessing module, used for preprocessing the ground static data, the tunnel dynamic data and the coal mining real-time data to obtain preprocessed data;
[0032] A data integration module, used to integrate the pre-processed data and construct a three-dimensional dynamic geological model based on the integrated data;
[0033] A model updating module, used to dynamically update the three-dimensional dynamic geological model according to the real-time coal mining data to ensure the real-time and accuracy of the model;
[0034] The model visualization module is used to display the three-dimensional dynamic geological model through three-dimensional visualization technology.
[0035] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:
[0036] The present invention provides a method and system for constructing a digital twin geological model of a coal mine based on precise exploration, the method comprising: respectively acquiring ground static data, tunnel dynamic data and coal mining real-time data; preprocessing the ground static data, the tunnel dynamic data and the coal mining real-time data to obtain preprocessed data; integrating the preprocessed data and constructing a three-dimensional dynamic geological model based on the integrated data; dynamically updating the three-dimensional dynamic geological model based on the coal mining real-time data to ensure the real-time and accuracy of the model; the present invention displays the three-dimensional dynamic geological model through three-dimensional visualization technology. The present invention realizes transparent management of coal mine geological information through multi-source data fusion and dynamic updating, and provides a strong guarantee for safe and efficient mining of coal mines. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0038] Figure 1 A flow chart of a method provided by an embodiment of the present invention;
[0039] Figure 2 A schematic diagram of a technical route provided for an embodiment of the present invention;
[0040] Figure 3 A schematic diagram of the system structure provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0042] The purpose of the present invention is to provide a method and system for constructing a digital twin geological model of a coal mine based on precise exploration, and to display the three-dimensional dynamic geological model through three-dimensional visualization technology. The present invention realizes transparent management of coal mine geological information through multi-source data fusion and dynamic updating, and provides a strong guarantee for safe and efficient mining of coal mines.
[0043] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.
[0044] Figure 1 A flow chart of a method provided by an embodiment of the present invention, such as Figure 1 and Figure 2 As shown, the present invention provides a method for constructing a digital twin geological model of a coal mine based on precise exploration, comprising:
[0045] Step 100: respectively obtaining ground static data, tunnel dynamic data and coal mining real-time data;
[0046] Step 200: preprocessing the ground static data, tunnel dynamic data and coal mining real-time data to obtain preprocessed data;
[0047] Step 300: Integrate the preprocessed data and construct a three-dimensional dynamic geological model based on the integrated data;
[0048] Step 400: dynamically updating the three-dimensional dynamic geological model according to the real-time data of coal mining to ensure the real-time and accuracy of the model;
[0049] Step 500: Display the three-dimensional dynamic geological model through three-dimensional visualization technology.
[0050] Preferably, obtaining ground static data, tunnel dynamic data and coal mining real-time data respectively includes:
[0051] Acquiring the ground static data by means of geological survey, ground drilling, three-dimensional seismic and ground electrical method;
[0052] The dynamic data of the tunnel is obtained by means of tunnel exposure, downhole detection while drilling, channel wave detection, downhole electromagnetic method and geological radar;
[0053] The real-time coal mining data is obtained by means of mining exploration data, earthquakes during excavation, microseismic monitoring and electromagnetic monitoring.
[0054] Specifically, the acquisition of ground static data mainly relies on a variety of geological exploration technologies. First, in this embodiment, through geological exploration, professionals conduct detailed geological surveys of the coal mining area to collect information such as rock types, stratum distribution, faults and folds. Secondly, using ground drilling technology, drilling is carried out at selected drilling points to extract core samples to analyze the thickness, quality and physical and chemical properties of the coal seam. In addition, three-dimensional seismic technology constructs a three-dimensional model of the underground structure by emitting seismic waves and receiving reflected waves to help identify the spatial distribution of coal seams. Finally, the ground electrical method further confirms the existence and characteristics of the coal seam by measuring the changes in underground resistivity. The comprehensive analysis of these data provides a basis for the subsequent construction of geological models.
[0055] Optionally, the acquisition of tunnel dynamic data focuses on real-time monitoring and analysis. First, the tunnel real-time exposure technology of this embodiment obtains the actual situation and changes of the coal seam by observing the tunnel during the actual mining process. Secondly, the underground detection while drilling technology monitors the surrounding geological conditions in real time during the drilling process and provides dynamic data support. Slot wave detection uses the propagation characteristics of sound waves in rocks to detect changes in geological structures around the tunnel and help identify potential geological risks. In addition, the underground electromagnetic method detects underground structures through electromagnetic waves to obtain more accurate geological information. Finally, the geological radar technology monitors the geological changes in the tunnel in real time by emitting electromagnetic waves and analyzing the reflected signals. These dynamic data provide an important basis for the safe mining of coal mines.
[0056] Furthermore, the acquisition of real-time data of coal mining mainly relies on a variety of monitoring technologies. First, the mining exploration data of this embodiment records the mining conditions of coal seams in real time during the coal mining process, including information such as coal seam thickness, quality and mining progress. Secondly, the seismic technology monitors seismic activity during the coal mining process to promptly identify geological changes and potential safety hazards. Microseismic monitoring analyzes the stability of coal seams and possible collapse risks by detecting tiny seismic fluctuations. In addition, electromagnetic monitoring technology identifies abnormal conditions in coal mines by monitoring changes in electromagnetic fields. The collection and analysis of these real-time data can provide timely information support for the safety management and decision-making of coal mines.
[0057] Preferably, the ground static data, the tunnel dynamic data and the coal mining real-time data are preprocessed to obtain preprocessed data, including:
[0058] According to a preset collection cycle, the ground static data, the tunnel dynamic data and the coal mining real-time data are grouped to obtain a plurality of data groups;
[0059] Calculate the difference coefficient between the current data group and the previous data group in sequence;
[0060] Determine whether the value of the coefficient of difference is within a preset range;
[0061] If the value of the difference coefficient is not within the preset range, the corresponding data group is removed;
[0062] If the value of the difference coefficient is within a preset range, the corresponding data group is retained until all data groups are traversed to obtain the preprocessed data.
[0063] Preferably, the difference coefficient calculation formula is:
[0064]
[0065] Among them, p X,Y is the coefficient of difference, cov(X,Y) represents the covariance between the current data set X and the previous data set Y, α X represents the mean of the current data set X, β Y Represents the mean of the previous data set Y.
[0066] Optionally, step 300 of this embodiment specifically includes:
[0067] Step 301: Data integration preparation
[0068] Before data integration, it is necessary to ensure that the format and unit of all pre-processed data are consistent. Ground static data, tunnel dynamic data, and coal mining real-time data may come from different measurement equipment and technologies, so these data need to be standardized. Through data cleaning, redundant information and outliers are removed to ensure data accuracy and reliability. Then, the database management system is used to store the pre-processed data in a unified database for subsequent integration and access.
[0069] Step 302: Data integration process
[0070] The integration process involves associating and fusing data from different sources. First, using geographic information system (GIS) technology, the static ground data and the dynamic tunnel data are spatially matched to ensure that the two are integrated in the same coordinate system. Then, using data fusion algorithms (such as Kalman filtering or weighted averaging), the real-time coal mining data is fused with other data to generate a comprehensive geological data set. At this point, the integrated data set should contain information such as the spatial distribution of coal seams, lithological characteristics, and geological structures, providing a basis for the construction of a three-dimensional model.
[0071] Step 303: Construction of 3D dynamic geological model
[0072] After the integration is completed, a 3D dynamic geological model is constructed using 3D modeling software (such as AutoCAD, SketchUp or special geological modeling software). Based on the integrated data, the 3D outline of the coal seam is first drawn to identify the thickness, distribution and relationship of the coal seam with the surrounding rock formations. Then, based on the lithological characteristics and geological structure, the corresponding 3D geological body is constructed to form a complete geological model. At this point, the model should be able to reflect the relationship and spatial distribution between different geological units.
[0073] Step 304: Model validation and optimization
[0074] After the construction is completed, the 3D dynamic geological model needs to be verified and optimized. The accuracy and rationality of the model can be checked by comparing it with the actual exploration data. If the model is found to deviate from the actual situation, the model needs to be adjusted and optimized. The impact of different parameters on the model can be evaluated through sensitivity analysis to further improve the accuracy and reliability of the model. Ultimately, it is necessary to ensure that the constructed 3D dynamic geological model can truly reflect the geological characteristics of the coal mine, laying the foundation for subsequent dynamic updates and visualization.
[0075] Preferably, the three-dimensional dynamic geological model includes: a three-dimensional structural model, a three-dimensional lithology model, a three-dimensional gas geological model and a three-dimensional hydrogeological model.
[0076] Specifically, the 3D structural model is mainly used to describe the geological structural characteristics of the coal mining area, including faults, folds, inclination angles and thickness of rock layers. By integrating ground static data and tunnel dynamic data, the spatial distribution of coal seams and surrounding rock layers is constructed. The model can intuitively display the geometric shape and relationship of geological bodies, helping geological engineers identify potential geological risks such as fault sliding or rock collapse. In addition, the 3D structural model also provides an important basis for subsequent mining design and safety assessment, ensuring the safety and effectiveness of coal mining.
[0077] Optionally, the 3D lithology model is used to describe the distribution of different rock types in the coal mine area and their physical and chemical properties. By analyzing the ground drilling and tunnel exposure data, the lithology characteristics of each rock layer, such as the thickness, ash content, volatile matter, etc. of the coal seam, are identified. The model not only shows the spatial distribution of the rock layer, but also reflects the interaction and influence between different lithologies. The 3D lithology model provides a scientific basis for the formulation of coal mining plans, resource assessment and environmental impact analysis, helping decision makers to formulate reasonable mining strategies.
[0078] Furthermore, the 3D gas geological model focuses on the distribution, storage and migration characteristics of gas in the coal mine area. By analyzing the real-time data of coal mining and the dynamic data of the tunnel, the source, concentration and distribution of gas in the coal seam are identified. The model can help engineers assess the risk of gas release and develop effective ventilation and gas extraction plans to ensure the safe mining of coal mines. In addition, the 3D gas geological model also provides important data support for gas control and environmental protection, reducing the probability of safety hazards such as gas explosions.
[0079] Furthermore, the 3D hydrogeological model is used to describe the distribution of hydrological conditions in the coal mining area and its impact on coal mining. By integrating ground static data and dynamic monitoring data, the groundwater level, flow direction, flow velocity and water quality characteristics are identified. The model can help engineers assess the impact of groundwater on coal mining, such as water influx and flooding risks, and formulate corresponding drainage and anti-seepage measures. In addition, the 3D hydrogeological model also provides a basis for environmental impact assessment to ensure the rational use and protection of water resources during coal mining.
[0080] Preferably, the output results of the three-dimensional dynamic geological model are geological plan views, cross-sectional views, and geological and hydrogeological results prediction report data.
[0081] Specifically, step 400 of this embodiment is as follows:
[0082] Step 401: Real-time data collection and monitoring
[0083] First, a real-time data acquisition system is established to continuously collect real-time data during the coal mining process through various monitoring equipment (such as seismic monitors, microseismic monitors, and electromagnetic monitors). These data include information such as coal mining progress, geological changes, gas concentration, and groundwater level. Through the data transmission network, the collected data is transmitted to the central database in real time to ensure the timeliness and integrity of the data. In addition, a data quality monitoring mechanism is set up to ensure that the collected data is accurate and reliable, and to avoid inaccurate model updates due to data errors.
[0084] Step 402: Data processing and analysis
[0085] After real-time data collection, data processing algorithms are used to analyze and preprocess the collected real-time data. This includes steps such as data cleaning, outlier detection, and data standardization to ensure data consistency and availability. Next, data fusion technology is applied to compare the real-time data with the existing 3D dynamic geological model to identify the differences between the model and the actual situation. By analyzing these differences, the parts of the model that need to be updated are determined to ensure that the model can reflect the latest geological conditions.
[0086] Step 403: Dynamic model update and verification
[0087] The 3D geological model is dynamically updated based on the real-time data after processing and analysis. First, the thickness, distribution and lithology of the coal seams in the model are adjusted to reflect the latest mining conditions and geological changes. Secondly, the gas and hydrogeological models are updated to ensure that they are consistent with the actual monitoring data. After the update is completed, the model is verified to check the accuracy and rationality of the model by comparing it with the actual exploration data. If deviations are found, the model parameters are further adjusted to ensure its timeliness and accuracy. Ultimately, the updated 3D dynamic geological model will provide the latest information support for the safety management and decision-making of the coal mine.
[0088] Specifically, step 500 of this embodiment includes:
[0089] Step 501: Visualization tool selection and preparation
[0090] First, select the appropriate 3D visualization software tools, such as Unity, Blender, Cesium or dedicated geological modeling software. These tools can support complex 3D model rendering and interactive functions. Then, import the updated 3D dynamic geological model into the selected software to ensure that the model format is compatible with the software. During the import process, check whether the various components of the model (such as 3D structure, lithology, gas and hydrogeological models) are complete, and make necessary adjustments to ensure the accuracy of the visualization effect.
[0091] Step 502: 3D model rendering and interactive design
[0092] In the visualization software, the 3D dynamic geological model is rendered, and appropriate lighting, materials, and textures are set to enhance the realism and readability of the model. By adjusting the viewing angle and zooming function, users can observe the model from different angles and gain a deeper understanding of the geological characteristics of the coal mine. In addition, interactive functions are designed to enable users to click or hover on specific parts of the model to obtain detailed geological information and data. This interactive display not only increases user participation, but also helps decision makers quickly obtain the information they need.
[0093] Step 503: Real-time data integration and display update
[0094] Finally, the real-time monitoring data is integrated into the visualization platform for dynamic display. By setting up the data interface, it is ensured that the real-time data can be automatically updated to the 3D model, so that users can view the latest geological conditions and mining progress of the coal mine in real time. The visualization interface can display key indicators such as gas concentration, groundwater level and mining progress, helping users to identify potential safety hazards and geological changes in a timely manner. In this way, the 3D dynamic geological model not only becomes a decision-making support tool, but also provides intuitive and real-time information display for the safety management of coal mines.
[0095] Preferably, it also includes:
[0096] Step 600: Input the geological plan map, cross-section map, and geological and hydrogeological results prediction report data into the preset coal mine transparent geological support system to carry out coal mining planning, disaster prediction and safety management.
[0097] Specifically, step 600 of this embodiment is as follows:
[0098] Step 601: Data sorting and format conversion
[0099] First, the generated geological plan, profile, and geological and hydrogeological prediction reports are collated to ensure that the format of all data is consistent and meets the requirements of the coal mine transparent geological assurance system. This may involve converting drawings and reports into file formats supported by the system (such as PDF, JPEG, CSV, etc.). In this process, ensure that key information in all drawings and reports (such as geological features, prediction data, and safety indicators) is accurately extracted and annotated for subsequent input and analysis.
[0100] Step 602: Data input and system integration
[0101] Next, use the data input interface provided by the coal mine transparent geological support system to upload the organized geological plan, profile and forecast report data into the system. Through the system's user interface, select the corresponding module for data input to ensure that each data set is correctly classified and stored. The system should have a data verification function to automatically check the integrity and accuracy of the input data to ensure that there is no omission or erroneous information, thereby improving the reliability of the data.
[0102] Step 603: Data analysis and application
[0103] Finally, the input data will be analyzed and processed by the coal mine transparent geological support system to support coal mining planning, disaster prediction and safety management. The system can use the input geological information to generate visual reports to help decision makers evaluate the feasibility and safety of mining plans. At the same time, based on hydrogeological data, the system can predict potential water inrush risks and provide corresponding preventive measures. In this way, the coal mine transparent geological support system will provide comprehensive data support for coal mine safety management and scientific decision-making.
[0104] like Figure 3 As shown, corresponding to the above method, this embodiment also provides a coal mine digital twin geological model construction system based on precise exploration, including:
[0105] A data acquisition module is used to respectively acquire ground static data, tunnel dynamic data and coal mining real-time data;
[0106] A preprocessing module, used for preprocessing the ground static data, the tunnel dynamic data and the coal mining real-time data to obtain preprocessed data;
[0107] A data integration module, used to integrate the pre-processed data and construct a three-dimensional dynamic geological model based on the integrated data;
[0108] A model updating module, used to dynamically update the three-dimensional dynamic geological model according to the real-time coal mining data to ensure the real-time and accuracy of the model;
[0109] The model visualization module is used to display the three-dimensional dynamic geological model through three-dimensional visualization technology.
[0110] The beneficial effects of the present invention are as follows:
[0111] (1) The present invention integrates ground static data, tunnel dynamic data and real-time coal mining data to construct a three-dimensional dynamic geological model that can truly reflect the geological characteristics of the coal mining area, reduce errors in traditional modeling methods, and improve the reliability of the model.
[0112] (2) The present invention can dynamically update the geological model based on real-time coal mining data to ensure that the model always reflects the latest geological conditions. This real-time feature enables coal mine managers to identify potential geological risks in a timely manner and take corresponding safety measures.
[0113] (3) The present invention uses 3D visualization technology to enable users to intuitively observe and analyze the geological information of coal mines, supporting the planning, disaster prediction and safety management of coal mining. This visualization improves the comprehensibility of information and helps decision makers make more scientific decisions.
[0114] (4) Through the analysis of gas and hydrogeological models, the present invention can effectively evaluate the potential safety hazards in the coal mining process, formulate reasonable preventive measures, and reduce the probability of accidents such as gas explosions and water surges, thereby ensuring the safety of miners and the sustainable development of the environment.
[0115] (5) The present invention optimizes the mining plan of coal resources through the support of accurate geological information, improves resource utilization efficiency, reduces mining costs, and brings economic benefits to coal mining enterprises.
[0116] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.
[0117] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of the present invention. At the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.
Claims
1. A method for constructing a digital twin geological model of a coal mine based on precise exploration, characterized in that: include: Obtain ground static data, tunnel dynamic data and coal mining real-time data respectively; Preprocessing the ground static data, the tunnel dynamic data and the coal mining real-time data to obtain preprocessed data; Integrating the preprocessed data, and constructing a three-dimensional dynamic geological model based on the integrated data; Dynamically updating the three-dimensional dynamic geological model according to the real-time coal mining data to ensure the real-time and accuracy of the model; The three-dimensional dynamic geological model is displayed through three-dimensional visualization technology.
2. The method for constructing a coal mine digital twin geological model based on precise exploration according to claim 1, characterized in that: Obtain ground static data, tunnel dynamic data and coal mining real-time data, including: Acquiring the ground static data by means of geological survey, ground drilling, three-dimensional seismic and ground electrical method; The dynamic data of the tunnel is obtained by means of tunnel exposure, downhole detection while drilling, channel wave detection, downhole electromagnetic method and geological radar; The real-time coal mining data is obtained by means of mining exploration data, earthquakes during excavation, microseismic monitoring and electromagnetic monitoring.
3. The method for constructing a digital twin geological model of a coal mine based on precise exploration according to claim 1, characterized in that: Preprocessing the ground static data, the tunnel dynamic data and the coal mining real-time data to obtain preprocessed data includes: According to a preset collection cycle, the ground static data, the tunnel dynamic data and the coal mining real-time data are grouped to obtain a plurality of data groups; Calculate the difference coefficient between the current data group and the previous data group in sequence; Determine whether the value of the coefficient of difference is within a preset range; If the value of the difference coefficient is not within the preset range, the corresponding data group is removed; If the value of the difference coefficient is within a preset range, the corresponding data group is retained until all data groups are traversed to obtain the preprocessed data.
4. The method for constructing a digital twin geological model of a coal mine based on precise exploration according to claim 3, characterized in that: The coefficient of difference calculation formula is: Among them, p X,Y is the coefficient of difference, cov(X,Y) represents the covariance between the current data set X and the previous data set Y, α X represents the mean of the current data set X, β Y Represents the mean of the previous data set Y.
5. The method for constructing a coal mine digital twin geological model based on precise exploration according to claim 1, characterized in that: The three-dimensional dynamic geological model includes: a three-dimensional structural model, a three-dimensional lithology model, a three-dimensional gas geological model and a three-dimensional hydrogeological model.
6. The method for constructing a digital twin geological model of a coal mine based on precise exploration according to claim 1, characterized in that: The output results of the three-dimensional dynamic geological model are geological plan views, cross-section views, and geological and hydrogeological results prediction report data.
7. The method for constructing a digital twin geological model of a coal mine based on precise exploration according to claim 6, characterized in that: Also includes: The geological plan, cross-section, and geological and hydrogeological prediction report data are input into the preset transparent coal mine geological support system to carry out coal mining planning, disaster prediction and safety management.
8. A coal mine digital twin geological model construction system based on precise exploration, characterized in that: include: A data acquisition module is used to respectively acquire ground static data, tunnel dynamic data and coal mining real-time data; A preprocessing module, used for preprocessing the ground static data, the tunnel dynamic data and the coal mining real-time data to obtain preprocessed data; A data integration module, used to integrate the pre-processed data and construct a three-dimensional dynamic geological model based on the integrated data; A model updating module, used to dynamically update the three-dimensional dynamic geological model according to the real-time coal mining data to ensure the real-time and accuracy of the model; The model visualization module is used to display the three-dimensional dynamic geological model through three-dimensional visualization technology.
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