A GIS-based system and method for multi-source heterogeneous data fusion and holographic mining in coal mines.

Abstract

This invention discloses a GIS-based multi-source heterogeneous data fusion and holographic mining system and method for coal mines. The invention relates to the field of coal mine informatization and intelligent technology, and includes a multi-source heterogeneous data fusion module for establishing a unified data standard protocol to automatically collect, upload, and fuse multi-source heterogeneous data, including geological exploration data, monitoring data, automated equipment data, and information system data. This invention establishes a unified data standard protocol based on a GIS platform, covering multi-source heterogeneous data from geological exploration, monitoring, automated equipment, and information systems. By standardizing data formats, transmission, and interfaces through the protocol, it achieves automatic collection, uploading, and fusion, solving the problem of data silos. After data fusion, the GIS platform serves as a unified entry point, supporting cross-system sharing and seamless integration of data from 3D laser scanning, total station measurements, etc., improving data availability and consistency.

Description

Technical Field

[0001] This invention relates to the field of coal mine informatization and intelligent technology, specifically to a GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system and method. Background Technology

[0002] With the continuous development of intelligent technology, a large amount of data from different equipment and systems is generated during the coal mine production process. Due to the complex production environment, huge amount of data and information silos in the coal mining industry, the data usually has differences in format, source and accuracy. With the application of holographic technology, all aspects of coal mine production can be displayed in a panoramic view through digitalization, three-dimensional visualization and other means, providing strong technical support for the refined management of mines.

[0003] Currently, coal mine production management faces problems such as heterogeneous data sources and isolated systems: geological exploration data (such as microseismic, electrical, and transient electromagnetic data) lacks a unified interface standard with GIS platforms; monitoring and control systems (such as hydrological and safety monitoring) are difficult to integrate with automated equipment data (such as coal mining machines and hydraulic supports); and information systems (such as group management platforms and budget management systems) lack data sharing. In addition, traditional GIS platforms have limited functionality and cannot achieve holographic visualization, three-dimensional spatial analysis, and dynamic simulation of mining faces, resulting in inaccurate geological predictions and low efficiency in professional applications. Therefore, there is an urgent need for an integrated system to solve problems such as multi-source data fusion, holographic scene construction, and intelligent decision support. To this end, a GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system and method are proposed. Summary of the Invention

[0004] To solve the above-mentioned technical problems, the present invention is implemented through the following technical solution: Firstly, a GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system, comprising: The multi-source heterogeneous data fusion module is used to formulate a unified data standard protocol, automatically collect, upload and fuse multi-source heterogeneous data including geological exploration data, monitoring and surveillance data, automated equipment data and information system data, solve the data silo problem, realize unified data access and sharing, and improve data availability and consistency; The holographic mining face module, based on fused multi-source heterogeneous data, constructs a two-dimensional and three-dimensional holographic production scene of coal mining and tunneling faces, integrates various safety production information, and provides functions including spatial analysis, cross-sectional viewing, and simulation, realizing the visualization, quantification, and simulation of the mining process, and improving the intuitiveness of production management and decision support capabilities. The transparent geological exploration fusion application module is used to develop local 3D modeling and editing functions for mining faces, generate high-precision 3D working face models, and provide geological model analysis and mapping functions. Based on the 3D working face model and the latest mining location, it analyzes and outputs 3D models and 2D drawings. At the same time, it performs dynamic advanced prediction, forecasting and monitoring and early warning through geophysical data fusion analysis. The intelligent coal mine application module integrates intelligent mining spatial data services, including geological surveying, water control, and production technology applications, to support multi-disciplinary collaborative management and intelligent mining in coal mines. It meets the daily office and professional management needs of coal mines and improves the collaborative efficiency of various professional departments. The GIS platform's functional modules, including software, management, and mobile terminals, serve as the system's foundational support platform. They provide a unified interface, services, and management capabilities, enhancing system usability and collaborative office capabilities, and forming a complete closed loop for intelligent coal mine management.

[0005] Preferably, the multi-source heterogeneous data fusion module includes: Establish a data standard protocol between the GIS platform and geophysical equipment systems (microseismic, electrical, and transient electromagnetic) to automatically collect and upload geological exploration data and its inversion interpretation vector results; Based on the aforementioned data standard protocol, the system integrates and connects with coal mine hydrological monitoring systems, safety monitoring systems, automated data from mining faces (coal mining machines, hydraulic supports, tunneling machines, etc.) and the GIS platform. Establish data connections with the group's comprehensive safety production technology management and control platform, production dynamic management and control system, comprehensive budget management system and equipment management system to achieve data fusion and sharing, and support the import and fusion of 3D laser scanning data, total station measurement data, open-pit mining software data and public geographic information basic data.

[0006] Preferably, the holographic mining face module includes: Based on the fused multi-source heterogeneous data, a two-dimensional holographic production scene of coal mining and tunneling face is constructed, integrating automated data, monitoring data and geological exploration data. In the aforementioned two-dimensional holographic production scene, spatial analysis functions for the mining face are provided, including distance measurement, viewing of straight lines and polylines, and mesh sectioning. Based on the spatial analysis results, mining plans, and actual advance data, a four-dimensional spatiotemporal simulation was conducted on historical production data and future production plans.

[0007] Preferably, the holographic mining face module further includes: In the aforementioned two-dimensional holographic production scene, integrated centralized management of safety production information, drawings, models, and documents is implemented; Based on the integrated centralized management, arbitrary cross-sections are generated and the geological characteristics of stratigraphic strike and fold undulation changes are analyzed; The analysis results of the geological features are integrated into the four-dimensional spatiotemporal simulation process to dynamically update the geological environment status of the mining face.

[0008] Preferably, the transparent geological exploration fusion application module includes: It integrates local 3D modeling and editing functions for mining faces, and generates high-precision 3D working face models through interactive geological modeling updates; The system integrates geological model analysis and mapping functions. Based on the three-dimensional working face model and the latest mining location, it performs arbitrary cutting and block analysis calculations, and outputs a three-dimensional model and two-dimensional drawings (including coal-rock strata boundaries, faults, boreholes, etc.) with coal-rock strata boundary information and fault information. By integrating and analyzing geophysical data, and visualizing it in a 3D model, the geological structure (faults, water-rich anomalies, etc.) ahead of the mining face can be dynamically and proactively predicted.

[0009] Preferably, the transparent geological exploration fusion application module further includes: The system automatically draws and renders contour lines, heat maps, and geological anomaly zones on the output 2D drawings. Based on the results of dynamic advance prediction and forecasting, a dynamic monitoring and early warning mechanism is activated for geological hazards in the identified water-rich anomaly areas and faults, and early warning information is output. The early warning information is linked to the mining simulation process to provide real-time geological environment basis for safe tunneling decisions.

[0010] Preferably, the intelligent coal mine application module includes: It integrates professional geodetic applications, providing functions such as geophysical results management, traverse point detection, automatic mapping of mining operations, and automatic generation of contour lines; Integrated water control professional applications, providing functions such as waterlogged area analysis and calculation, water control borehole management, drainage simulation analysis, and water hazard prediction and forecasting; It integrates professional production technology applications, providing functions such as collaborative design and modeling of roadways, layout design of coal mining faces, and time management of disaster control at the working faces.

[0011] Preferably, the intelligent coal mine application module further includes: Based on the aforementioned geological surveying, water control, and production technology applications, intelligent mining spatial data services are provided. Through the aforementioned intelligent mining spatial data service, detailed modeling of the mining face and sharing of spatial data throughout the entire process are achieved; It provides standardized data interfaces and decision support for the intelligent mining process of planning and cutting mining faces.

[0012] Preferably, the GIS platform functional modules include: The software provides 3D interactive modeling, automatic uploading of monitoring points, synchronous mapping of plan, elevation and section views, and local referencing of thematic maps. The management interface provides batch configuration of layer and thematic map permissions, management of drawing submission lists, and user query and statistics functions; The mobile app supports offline operations for viewing and annotating drawings, entering geological observation data, and viewing holographic mining dynamic maps.

[0013] Secondly, the GIS-based method for multi-source heterogeneous data fusion and holographic mining in coal mines, implemented based on the aforementioned GIS-based multi-source heterogeneous data fusion and holographic mining system, includes the following steps: S1. Establish a unified data standard protocol to clarify the data format and interface specifications of geological exploration, monitoring and control, automated equipment and information systems, solve the data silo problem and achieve standardized access to multi-source data; S2. Based on data standard protocols, it integrates data from geophysical exploration equipment, hydrological monitoring, safety monitoring and automation equipment to build a multi-source heterogeneous data fusion system, which is connected to the group's management and control platform and supports the seamless integration of data such as 3D laser scanning. S3. Construct a two- or three-dimensional holographic production scene using the fused data, integrate safety production information, provide spatial analysis, cross-sectional viewing and four-dimensional spatiotemporal simulation functions, and establish a holographic mining face model. S4. Develop local 3D modeling and editing functions for mining faces to generate high-precision 3D working face models, integrate geophysical data to achieve dynamic advanced prediction and forecasting, and output 3D models, 2D drawings and early warning information based on mining locations. S5. Deploy intelligent mining spatial data services, providing a unified interface and services through a GIS platform (software, management, and mobile terminals), supporting multi-professional collaborative management and intelligent mining decision-making, forming a closed-loop management system.

[0014] This invention provides a GIS-based system and method for multi-source heterogeneous data fusion and holographic mining in coal mines. It offers the following advantages: (I) The GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system and method establishes a unified data standard protocol based on the GIS platform, covering multi-source heterogeneous data from geological exploration, monitoring and control, automated equipment and information systems. By standardizing data formats, transmission and interfaces through the protocol, automatic collection, uploading and fusion are realized, solving the problem of data silos. After data fusion, the GIS platform serves as a unified entry point, supporting cross-system sharing and seamless integration of data such as 3D laser scanning and total station measurement, thereby improving data availability and consistency.

[0015] (II) The GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system and method constructs a two-dimensional and three-dimensional holographic production scene of coal mining and tunneling face using the fused multi-source heterogeneous data. It integrates the operating parameters of automated equipment, monitoring indicators and geological exploration results, and supports the quantitative analysis of geological features of the working face through spatial analysis functions such as distance measurement and cross-sectional viewing. Combined with four-dimensional spatiotemporal simulation, it dynamically predicts changes in the geological environment during the mining process and optimizes resource allocation and production plans.

[0016] (III) The GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system and method develops local three-dimensional modeling and editing functions for mining faces, generates high-precision three-dimensional models, supports geological model analysis and mapping, integrates geophysical data for dynamic advanced prediction and forecasting, updates geological structure information in real time, and generates risk warning indicators such as water inrush and roof collapse through machine learning algorithms. The warning results are presented in the form of heat maps and three-dimensional slices to assist in the formulation of safety measures and reduce the risk of geological disasters. Attached Figure Description

[0017] Figure 1 This is a schematic diagram illustrating the workflow of the GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system and method of the present invention. Figure 2 This is a schematic diagram of the method flow for the GIS-based coal mine multi-source heterogeneous data fusion and holographic mining method of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1, please refer to Figure 1 This invention provides a technical solution: a GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system, comprising: The multi-source heterogeneous data fusion module is used to establish a unified data standard protocol, automatically collect, upload, and fuse multi-source heterogeneous data including geological exploration data, monitoring and control data, automated equipment data, and information system data. This solves the problem of data silos, achieves unified data access and sharing, and improves data availability and consistency. It establishes a data standard protocol between the GIS platform and geophysical equipment systems (microseismic, electrical, transient electromagnetic). It automatically collects and uploads geological exploration data and its inversion interpretation vector results. Based on the data standard protocol, it integrates and connects with coal mine hydrological monitoring systems, safety monitoring systems, and automated data from mining faces (coal mining machines, hydraulic supports, tunneling machines, etc.) to the GIS platform. It also establishes data connections with the group's comprehensive safety production technology management and control platform, production dynamic management and control system, comprehensive budget management system, and equipment management system for data fusion and sharing. Furthermore, it supports the import and fusion of 3D laser scanning data, total station measurement data, open-pit mining software data, and public geographic information basic data. The specific work involves: developing a unified data standard protocol to address the data interaction needs between the GIS platform and geophysical equipment systems (microseismic, electrical, and transient electromagnetic). This protocol clarifies data formats, transmission protocols, and interface specifications, covering the entire process of geological exploration data acquisition, transmission, storage, and vector result generation. It ensures the standardization and normalization of the automatic data acquisition and uploading process from geophysical equipment to the GIS platform, eliminating data format incompatibility issues and improving data transmission efficiency and accuracy. Based on the established data standard protocol, it also involves deep integration and interfacing of coal mine hydrological monitoring systems, safety monitoring systems, and automated data from mining faces (such as operating parameters of coal mining machines, hydraulic supports, and tunneling machines) with the GIS platform. Simultaneously, it involves developing a dedicated data interface... The system incorporates interface and conversion tools to ensure that monitoring data and equipment status information can be transmitted to the GIS platform in real time and accurately, and to form a correlation analysis with geological exploration data. Through integration and connection, a monitoring network covering the entire coal mine production process is constructed. Data exchange middleware is designed to unify data formats and access interfaces, and to establish data connections with the group's comprehensive safety production technology management and control platform, production dynamic management and control system, comprehensive budget management system, and equipment management system, enabling cross-system data fusion and sharing. This ensures seamless integration of multi-source data in the GIS platform. At the same time, it supports the import and fusion of 3D laser scanning data, total station measurement data, open-pit mining software data, and public geographic information basic data. Through data cleaning, conversion, and matching technologies, a high-precision, comprehensive coal mine spatial database is constructed. The holographic mining face module, based on fused multi-source heterogeneous data, constructs a two-dimensional and three-dimensional holographic production scene of coal mining and tunneling faces. It integrates various safety production information and provides functions including spatial analysis, cross-sectional viewing, and simulation, realizing the visualization, quantification, and simulation of the mining process, improving the intuitiveness of production management and decision support capabilities. Based on fused multi-source heterogeneous data, it constructs a two-dimensional and three-dimensional holographic production scene of coal mining and tunneling faces integrating automated data, monitoring data, and geological exploration data. In the two-dimensional and three-dimensional holographic production scene, spatial analysis functions of the mining face, including distance measurement, straight line and polyline, and grid cross-sectional viewing, are allocated. Based on the spatial analysis results and mining plans and actual advance data, four-dimensional spatiotemporal simulation is performed on historical production data and future production plans. The specific work content is as follows: Based on the fused multi-source heterogeneous data, construct a 2D / 3D holographic production scene of the coal mining and tunneling face. By integrating automated equipment data (coal mining machine, hydraulic support operating parameters), monitoring data (hydrological, safety indicators), and geological exploration data (microseismic, electrical resistivity tomography results), achieve unified expression of spatial data in the GIS platform. Utilize 3D modeling technology to generate a holographic scene covering geological structure, equipment status, and environmental parameters, supporting integrated management of safety production information, drawings, and models. In the 2D / 3D holographic production scene, allocate spatial analysis functions for the mining face, specifically including distance measurement tools to support accurate distance measurement between any two points or paths within the working face; and straight line, polyline, and grid cutting functions, allowing users to perform scene analysis along preset paths or custom grids. The system performs cross-sectioning, generates cross-sections, and analyzes geological features such as stratigraphic strike and fold changes. This is achieved through geometric calculations and spatial analysis algorithms on a GIS platform, providing quantitative support for geological interpretation, equipment layout optimization, and safety risk assessment, thereby improving the precision of production management. Based on spatial analysis results, mining plans, and actual advance data, a four-dimensional spatiotemporal simulation is conducted. By integrating historical production data (daily output, equipment failure records) with future plans (mining progress, support schemes), the mining process is dynamically simulated in the time dimension. Combined with the geological constraints of spatial analysis, the system predicts the production status at different time points, assesses the feasibility of the plan, and optimizes resource allocation. Through spatiotemporal data models and algorithms, this provides dynamic decision-making support for production scheduling, disaster early warning, and efficiency improvement, promoting intelligent management of coal mines. In addition, the holographic mining face module also includes: integrated centralized management of safety production information, drawings, models and documents in the two-dimensional and three-dimensional holographic production scene; on the basis of integrated centralized management, generating arbitrary cutting surfaces and analyzing the geological features of strata strike and fold undulation changes; integrating the analysis results of geological features into the four-dimensional spatiotemporal simulation process; and dynamically updating the geological environment status of the mining face. The specific work involves: constructing a unified data management framework within a 2D / 3D holographic production scene; standardizing and integrating safety production information (ventilation system, gas monitoring data), engineering drawings (CAD files, tunnel design drawings), 3D working face models, and technical documents (operation procedures, safety assessment reports); using spatial indexing and semantic association technology from a GIS platform to perform hierarchical storage and dynamic association of multi-source data; supporting rapid retrieval by working face, equipment type, or time dimension; developing an access control module to ensure that users at different levels can only access data within their authorized scope, guaranteeing information security; and forming an integrated management platform for images, models, data, and documents. Based on this integrated management platform, an interactive sectioning tool is developed, allowing users to section the holographic scene along any path (straight line, polyline, or custom curve) or grid, generating 2D or 3D cross-sectional views in real time; and automatically extracting cross-sectional views by integrating geostatistical algorithms (Kriging interpolation). The analysis extracts key parameters such as stratigraphic strike, dip angle, and fold axis attitude of the cross section, and quantifies fold undulation changes (wavelength, amplitude). The analysis results are presented in the form of visual charts (rose diagrams, contour maps) and attribute tables, supporting export to common formats (DXF or GeoTIFF). Simultaneously, the data is dynamically updated to the geological database to ensure timeliness. Geological characteristic parameters (fault attitude, stratum thickness changes) obtained from the cross section analysis are used as constraints and input into a four-dimensional spatiotemporal simulation. Through spatiotemporal data fusion algorithms, the dynamic evolution of the geological environment during mining is simulated, including coal seam thinning and fault activation. The three-dimensional model of the working face is updated in real time. Combined with production plans (mining progress, support schemes) and equipment status data (coal mining machine position, hydraulic support pressure), the geological risks (water inrush, roof collapse) and production efficiency indicators (advance speed, cost per ton of coal) at different time points are predicted. The simulation results are displayed in the form of dynamic scenes, trend curves, or reports. The transparent geological exploration fusion application module is used to develop local 3D modeling and editing functions for mining faces, generate high-precision 3D working face models, and provide geological model analysis and mapping functions. Based on the 3D working face model and the latest mining location, it analyzes and outputs 3D models and 2D drawings. Simultaneously, it performs dynamic advance prediction and monitoring and early warning through geophysical data fusion analysis. It integrates local 3D modeling and editing functions for mining faces, and generates high-precision 3D working face models through interactive geological modeling updates. It also integrates geological model analysis and mapping functions, performing arbitrary sectioning and block analysis calculations based on the 3D working face model and the latest mining location. It outputs 3D models and 2D drawings (including coal-rock strata boundaries, faults, boreholes, etc.) with coal-rock strata boundary information and fault information. It fuses and analyzes geophysical data, visually representing it in the 3D model, and dynamically predicts and forecasts geological structures (faults, water-rich anomalies, etc.) ahead of the mining face. The specific work content includes: integrating local 3D modeling and editing functions for mining faces; developing modeling tools that support multi-data source fusion; dynamically importing and preprocessing point clouds, laser scanning, and measured geological data; allowing users to finely adjust local areas of the model (fault zones, coal seam thinning zones) through an interactive editing interface, including mesh subdivision, attribute assignment, and topological relationship correction; employing voxel-based hybrid modeling technology combined with geostatistical interpolation algorithms to ensure that the model maintains spatial continuity and attribute consistency after editing; generating high-precision 3D working face models that meet millimeter-level accuracy requirements and support seamless splicing with the global geological model; integrating geological model analysis and mapping functions; constructing a calculation engine that supports arbitrary directional cutting and block analysis; automatically identifying coal-rock strata boundaries, faults, and borehole trajectories based on the 3D working face model and real-time mining location data; and generating cutting surfaces or block models through spatial Boolean operations; and integrating stratigraphic thickness calculation and volume measurement during the analysis process. The system includes a reserve estimation algorithm to ensure that the calculation results meet industry standards. The output includes a 3D model (OBJ / FBX format) and 2D drawings (DWG / PDF format). The drawings are marked with key information such as coal-rock strata boundaries, fault attitudes, and borehole numbers. The system also supports layer management, scale adjustment, and annotation addition to meet the standardization requirements of engineering design and safety assessment. The system integrates and analyzes geophysical data (seismic waves, resistivity, and natural gamma rays) to develop a multimodal data registration and interpretation platform. Through spatial coordinate transformation and waveform feature matching, geophysical anomaly areas (faults, water-rich areas) are accurately mapped to the 3D model. Transparency rendering and contour overlay techniques are used to achieve visualization. Combined with real-time mining progress data, the system dynamically updates the geological structure prediction results. Machine learning algorithms (neural networks) are used to analyze the correlation between geophysical parameters and geological structures to generate early warning indicators, including water inrush risk and roof stability. The prediction results should be presented in the form of heat maps, 3D slices, and reports. In addition, the transparent geological exploration fusion application module also includes: automatically drawing and rendering contour lines, heat maps and geological anomaly areas on the output two-dimensional drawings; based on the dynamic advanced prediction and forecast results, activating a dynamic monitoring and early warning mechanism for geological hazards in the identified water-rich anomaly areas and faults, outputting early warning information, and linking the early warning information with the mining simulation process to provide real-time geological environment basis for safe tunneling decisions; The specific work content includes: developing an automated mapping engine based on 3D working face model data to achieve intelligent drawing and rendering of contour lines, heat maps, and geological anomaly areas; generating continuous contour lines through Kriging interpolation algorithm; supporting multi-attribute layered coloring including elevation, resistivity, and porosity; constructing heat maps using bilinear interpolation technology; intuitively expressing the distribution of anomaly intensity using color gradients; extracting geological anomalies in faults and water-rich areas using Boolean operations; achieving accurate annotation through transparency overlay and boundary vectorization; outputting drawings that conform to industry standards (DWG / PDF format); integrating layer management, dynamic scale adjustment, and automatic annotation generation functions to ensure the standardization and information integrity of drawings, meeting the rapid drawing needs of engineering design and safety assessment; relying on a dynamic advanced prediction and forecasting system to implement real-time monitoring and early warning of identified water-rich anomaly areas and fault geological hazards; continuously updating the front geological structure model through dynamic fusion of geophysical data (resistivity, natural gamma) and mining progress data; and using machine learning algorithms to analyze anomaly area parameters (resistivity threshold, etc.). The correlation between waveform frequency and disasters is analyzed to automatically trigger early warning rules (red warning is activated when resistivity < 50 Ω·m and continues to expand (area growth rate > 10% / hour), and orange warning is activated when resistivity 30-50 Ω·m and fluctuates frequently (frequency > 5 Hz)). Early warning information is output, including hazard type, location coordinates, risk level, and recommended measures. This information is transmitted in real time through a multi-level push mechanism (field terminal, dispatch center, mobile terminal). The early warning information is integrated into the mining simulation system to build a geological-engineering linkage decision-making platform. Based on the early warning results, simulation parameters, including tunneling speed and support strength, are automatically adjusted to simulate geological environment responses under different working conditions. The minimum safe distance between the hazard area and the mining path is calculated using a spatial analysis engine, generating optimized evacuation routes. Combined with 3D visualization technology, the dynamic relationship between the early warning area and equipment location is displayed in real time, assisting managers in formulating risk avoidance strategies. This achieves closed-loop linkage between geological forecasting and production planning, significantly improving the efficiency and accuracy of safe tunneling decisions under complex geological conditions. The intelligent coal mine application module integrates intelligent mining spatial data services, including geological surveying, water control, and production technology applications, to support multi-disciplinary collaborative management and intelligent mining in coal mines. It meets the daily office and professional management needs of coal mines and improves the collaborative efficiency of various professional departments. The GIS platform's functional modules, including software, management, and mobile terminals, serve as the system's foundational support platform. They provide a unified interface, services, and management capabilities, enhancing system usability and collaborative office capabilities, and forming a complete closed loop for intelligent coal mine management.

[0020] Example 2, as Figure 1As shown, based on Embodiment 1, the present invention provides a technical solution: the intelligent professional application module for coal mines includes: integrated geodetic surveying applications, providing functions such as geophysical results management, traverse point detection, automatic mapping during mining and excavation, and automatic contour line generation; integrated water control applications, providing functions such as water accumulation area analysis and calculation, water control borehole management, water drainage simulation analysis, and water hazard prediction and forecasting; and integrated production technology applications, providing functions such as roadway collaborative design modeling, coal mining face layout design, and working face disaster management time management. The specific work content includes: Geophysical surveying applications focus on the full-process management of geological surveying data, covering geophysical results management, traverse point detection, automatic mapping during mining, and automatic contour line generation. Specifically, the geophysical results management function standardizes the storage and 3D modeling of geophysical data, including resistivity and natural gamma, supporting multi-period data comparison and analysis to assist in identifying geological structural anomalies; the traverse point detection function uses total stations or GNSS equipment to verify the accuracy of control point coordinates in real time, ensuring that the spatial positioning error of mining projects is less than 5cm; the automatic mapping function dynamically updates the roadway topology based on working face advancement data, automatically generating standardized drawings conforming to the "Coal Mine Geological Survey Legend"; and contour line generation... The automatic line generation function uses the Kriging interpolation algorithm to spatially interpolate continuous attributes such as elevation and coal seam thickness, generating smooth contour lines and supporting attribute threshold-based color settings. The water control application focuses on the entire lifecycle of water hazard prevention and control, constructing a technical system from risk identification to emergency response. This includes functions such as water accumulation area analysis and calculation, water control borehole management, drainage simulation analysis, and water hazard prediction and forecasting. The water accumulation area analysis and calculation function integrates geological borehole data, geophysical anomaly data, and historical water accumulation data to establish a three-dimensional water accumulation model, dynamically calculating the water accumulation range, water pressure, and inrush coefficient, providing safety distance constraints for mining design. The water control borehole management function enables borehole trajectory design, construction records, and acceptance data management. Electronic archiving supports spatial relationship analysis between boreholes and waterlogged areas, optimizing borehole layout schemes; the drainage simulation analysis function, based on Darcy's law, simulates water volume decay curves under different drainage schemes, assessing drainage efficiency and environmental impact; the water hazard prediction and forecasting function, through real-time monitoring of water level, water quality, and mining progress data, combined with machine learning models, predicts water inrush risk, automatically triggers tiered early warnings, and generates disposal plans including evacuation routes and emergency supplies; the production technology professional application focuses on the collaborative optimization of mining engineering design and disaster management, supporting efficient and safe construction, including roadway collaborative design modeling, coal face layout design, and working face disaster management time management functions. The roadway collaborative design modeling function integrates... BIM technology enables multi-disciplinary (geological, ventilation, electromechanical) data linkage, automatically generating roadway cross-sections and support parameters that meet safety standards, and supports 3D collision detection and scheme comparison; the coal mining face layout design function dynamically optimizes the face length, advance direction, and equipment configuration based on coal seam occurrence conditions, and calculates the distance between the face and faults and folds through spatial analysis to ensure maximum resource recovery rate; the face disaster management time management function incorporates gas drainage, roof support, and other management processes into the schedule, dynamically adjusts the management cycle based on geophysical monitoring data, and visualizes the process connection relationship through Gantt charts to avoid safety risks caused by management delays, achieving spatiotemporal coordination between mining and disaster management; In addition, the intelligent coal mine professional application module also includes: based on geological surveying professional applications, water prevention and control professional applications, and production technology professional applications, it provides intelligent mining spatial data services. Through intelligent mining spatial data services, it conducts fine modeling of mining faces and full-process spatial data sharing, and provides standardized data interfaces and decision support for the intelligent mining process of mining face planning and cutting. The specific work involves: based on three major professional applications—geological surveying, water control, and production technology—integrating geological surveying data, water hazard prevention information, and mining engineering parameters to construct a unified spatial database, establish a data dictionary, and define attribute fields for over 200 types of entities, including geological bodies, equipment, and processes. The intelligent mining spatial data service employs a standardized data structure and metadata management mechanism to clean, transform, and store multi-source heterogeneous data, ensuring the consistency of the spatial reference system. Simultaneously, it utilizes a service-oriented architecture (RESTful)... The API encapsulates data access interfaces, supporting real-time data calls and access control across systems and disciplines. The intelligent mining spatial data service utilizes 3D laser scanning and BIM modeling technologies to perform high-precision geometric modeling of the mining face, generating a digital working face model that includes geological structures, equipment layout, and support parameters. This digital working face model dynamically correlates with geophysical anomaly zones from the geological surveying discipline, water accumulation boundaries from the water control discipline, and process progress data from the production technology discipline, achieving multi-dimensional spatial information fusion of geology, engineering, and disaster. Through a data sharing platform, various professional applications subscribe to model updates in real time and feed back construction data to the model, forming a closed loop of modeling-application-correction to support collaborative decision-making throughout the entire process. It provides standardized data interfaces for intelligent mining, defining unified data formats (GeoJSON, IFC) and interaction protocols to ensure seamless integration of cutting equipment, monitoring systems, and planning software. The interface supports real-time data transmission and control command issuance, enabling rapid response from data to decision to execution. Based on spatial analysis algorithms, combined with the working face model and production rules, it automatically generates cutting path optimization suggestions and disaster early warning and response plans, improving mining efficiency and safety. The GIS platform's functional modules include: the software side provides 3D interactive modeling, automatic mapping of monitoring points, synchronization of plan, elevation and section views, and partial referencing of thematic maps; the management side provides batch configuration of layer and thematic map permissions, management of drawing submission lists, and user query and statistics functions; and the mobile terminal provides offline drawing viewing and annotation, geological observation data entry, and holographic mining dynamic map viewing functions. The specific work content includes: On the software side, the focus is on 3D spatial data processing and visualization, including 3D interactive modeling, automatic mapping of monitoring points, synchronization of plan, elevation, and section views, and local referencing of thematic maps. The 3D interactive modeling function supports parametric construction of elements such as geological bodies, tunnels, and equipment, achieving high-precision scene reconstruction through multi-source data fusion. The automatic mapping of monitoring points, based on a spatial coordinate matching algorithm, maps sensor data to the 3D working surface model in real time and supports dynamic updates. The plan, elevation, and section view synchronization function, through spatial coordinate system association, enables linked modification of plan, elevation, and section views, ensuring design consistency. The local referencing of thematic maps allows users to extract specific areas from the global thematic map to generate independent analysis views, improving the efficiency of multi-scene comparison. On the management side, the focus is on centralized control of data permissions and business processes, covering batch configuration of layer and thematic map permissions, management of drawing submission lists, and user query and statistics functions. The batch configuration of layer permissions supports assigning data access levels (view only, editable) according to roles (geological survey engineer, safety officer), achieving fine-grained control through the RBAC model. Thematic map permissions... The batch configuration function is further refined to layer elements (specific tunnels, equipment) to ensure the secure isolation of sensitive information; the drawing submission list management function provides standardized templates, defining drawing types, version numbers, and approval processes, supporting batch uploads and status tracking; the user query and statistics function integrates the Elasticsearch engine to achieve multi-dimensional retrieval by department, time, and operation type, generating statistical reports such as usage frequency and modification records to assist in resource optimization; the mobile terminal focuses on the real-time and offline capabilities of on-site operations, including offline drawing viewing and annotation, geological observation data entry, and holographic mining dynamic map viewing functions. Among them, the offline drawing viewing function supports local caching of 3D models and 2D drawings, achieving fast loading through spatial indexing technology; the annotation function allows users to mark issues and upload them to the cloud; the geological observation data entry function provides structured forms, supports multimedia attachments such as photos and videos, and data is synchronized to the server through an encrypted channel; the holographic mining dynamic map viewing function integrates real-time sensor data, displaying mining progress and risk areas in the form of heat maps and dynamic arrows, and supports gesture zooming and rotation.

[0021] Example 3, as Figure 1 , Figure 2 As shown, based on Examples 1-2, this invention provides a GIS-based method for multi-source heterogeneous data fusion and holographic mining in coal mines, implemented using the aforementioned GIS-based multi-source heterogeneous data fusion and holographic mining system for coal mines, including the following steps: S1. Establish a unified data standard protocol to clarify the data format and interface specifications of geological exploration, monitoring and control, automated equipment and information systems, solve the data silo problem and achieve standardized access to multi-source data; S2. Based on data standard protocols, it integrates data from geophysical exploration equipment, hydrological monitoring, safety monitoring and automation equipment to build a multi-source heterogeneous data fusion system, which is connected to the group's management and control platform and supports the seamless integration of data such as 3D laser scanning. S3. Construct a two- or three-dimensional holographic production scene using the fused data, integrate safety production information, provide spatial analysis, cross-sectional viewing and four-dimensional spatiotemporal simulation functions, and establish a holographic mining face model. S4. Develop local 3D modeling and editing functions for mining faces to generate high-precision 3D working face models, integrate geophysical data to achieve dynamic advanced prediction and forecasting, and output 3D models, 2D drawings and early warning information based on mining locations. S5. Deploy intelligent mining spatial data services, providing a unified interface and services through a GIS platform (software, management, and mobile terminals), supporting multi-professional collaborative management and intelligent mining decision-making, forming a closed-loop management system.

[0022] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0023] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system, characterized in that, include: The multi-source heterogeneous data fusion module is used to formulate a unified data standard protocol and automatically collect, upload and fuse multi-source heterogeneous data, including geological exploration data, monitoring and surveillance data, automated equipment data and information system data. The holographic mining face module, based on fused multi-source heterogeneous data, constructs a two-dimensional and three-dimensional holographic production scene of coal mining and tunneling faces, integrates various safety production information, and provides functions including spatial analysis, cross-sectional viewing, and simulation. The transparent geological exploration fusion application module is used to develop local 3D modeling and editing functions for mining faces, generate high-precision 3D working face models, and provide geological model analysis and mapping functions. It analyzes and outputs 3D models and 2D drawings. At the same time, it performs dynamic advanced prediction, forecasting and monitoring and early warning through geophysical data fusion analysis. The intelligent coal mine application module integrates intelligent mining spatial data services, including geological surveying, water control, and production technology applications, to support multi-disciplinary collaborative management and intelligent mining in coal mines. The GIS platform's functional modules include software, management, and mobile terminals. As the foundational support platform for the system, it provides a unified interface, services, and management capabilities.

2. The GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system according to claim 1, characterized in that: The multi-source heterogeneous data fusion module includes: Establish a data standard protocol between the GIS platform and geophysical equipment system to automatically collect and upload geological exploration data and its inversion interpretation vector results; Based on the aforementioned data standard protocol, the coal mine hydrological monitoring system, safety monitoring system, and automated data from mining faces are integrated and connected with the GIS platform. It establishes data connections with the comprehensive management and control platform for safe production technology, the dynamic management and control system for production, the comprehensive budget management system and the equipment management system to achieve data fusion and sharing, and supports the import and fusion of 3D laser scanning data, total station measurement data, open-pit mining software data and public geographic information basic data.

3. The GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system according to claim 1, characterized in that: The holographic mining face module includes: Based on the fused multi-source heterogeneous data, a two-dimensional holographic production scene of coal mining and tunneling face is constructed, integrating automated data, monitoring data and geological exploration data. In the aforementioned two-dimensional holographic production scene, spatial analysis functions for the mining face are provided, including distance measurement, viewing of straight lines and polylines, and mesh sectioning. Based on the spatial analysis results, mining plans, and actual advance data, a four-dimensional spatiotemporal simulation was conducted on historical production data and future production plans.

4. The GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system according to claim 3, characterized in that: The holographic mining face module also includes: In the aforementioned two-dimensional holographic production scene, integrated centralized management of safety production information, drawings, models, and documents is implemented; Based on the integrated centralized management, arbitrary cross-sections are generated and the geological characteristics of stratigraphic strike and fold undulation changes are analyzed; The analysis results of the geological features are integrated into the four-dimensional spatiotemporal simulation process to dynamically update the geological environment status of the mining face.

5. The GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system according to claim 1, characterized in that: The transparent geological exploration fusion application module includes: It integrates local 3D modeling and editing functions for mining faces, and generates high-precision 3D working face models through interactive geological modeling updates; The system integrates geological model analysis and mapping functions. Based on the three-dimensional working face model and the latest mining location, it performs arbitrary cutting and block analysis calculations, and outputs a three-dimensional model and two-dimensional drawings with coal and rock strata boundary lines and fault information. By integrating and analyzing geophysical data, and visualizing it in a 3D model, the geological structure ahead of the mining work can be dynamically and proactively predicted.

6. The GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system according to claim 5, characterized in that: The transparent geological exploration fusion application module also includes: The system automatically draws and renders contour lines, heat maps, and geological anomaly zones on the output 2D drawings. Based on the results of dynamic advance prediction and forecasting, a dynamic monitoring and early warning mechanism is activated for geological hazards in the identified water-rich anomaly areas and faults, and early warning information is output. The early warning information is linked to the mining simulation process to provide real-time geological environment basis for safe tunneling decisions.

7. The GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system according to claim 1, characterized in that: The intelligent coal mine application module includes: It integrates professional geodetic applications, providing functions such as geophysical results management, traverse point detection, automatic mapping of mining operations, and automatic generation of contour lines; Integrated water control professional applications, providing functions such as waterlogged area analysis and calculation, water control borehole management, drainage simulation analysis, and water hazard prediction and forecasting; It integrates professional production technology applications, providing functions such as collaborative design and modeling of roadways, layout design of coal mining faces, and time management of disaster control at the working faces.

8. The GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system according to claim 7, characterized in that: The intelligent coal mine application module also includes: Based on the aforementioned geological surveying, water control, and production technology applications, intelligent mining spatial data services are provided. Through the aforementioned intelligent mining spatial data service, detailed modeling of the mining face and sharing of spatial data throughout the entire process are achieved; It provides standardized data interfaces and decision support for the intelligent mining process of planning and cutting mining faces.

9. The GIS-based coal mine multi-source heterogeneous data fusion and holographic mining system according to claim 1, characterized in that: The functional modules of the GIS platform include: The software provides 3D interactive modeling, automatic uploading of monitoring points, synchronous mapping of plan, elevation and section views, and local referencing of thematic maps. The management interface provides batch configuration of layer and thematic map permissions, management of drawing submission lists, and user query and statistics functions; The mobile app supports offline operations such as viewing and annotating drawings, entering geological observation data, and viewing holographic mining dynamic maps.

10. A GIS-based method for multi-source heterogeneous data fusion and holographic mining in coal mines, implemented based on the GIS-based multi-source heterogeneous data fusion and holographic mining system for coal mines as described in any one of claims 1-9, characterized in that... Includes the following steps: S1. Establish a unified data standard protocol to clarify the data format and interface specifications for geological exploration, monitoring and control, automated equipment and information systems; S2. Based on data standard protocols, integrate data from geophysical exploration equipment, hydrological monitoring, safety monitoring and automation equipment to build a multi-source heterogeneous data fusion system; S3. Construct a two- or three-dimensional holographic production scene using the fused data, integrate safety production information, provide spatial analysis, cross-sectional viewing and four-dimensional spatiotemporal simulation functions, and establish a holographic mining face model. S4. Develop local 3D modeling and editing functions for mining faces to generate high-precision 3D working face models, integrate geophysical data to achieve dynamic advanced prediction and forecasting, and output 3D models, 2D drawings and early warning information based on mining locations. S5. Deploy intelligent mining spatial data services, providing a unified interface and services through a GIS platform to support multi-professional collaborative management and intelligent mining decision-making.

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