3D Mine Point Cloud Modeling for Accurate Geological Inversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing mine modeling methods are limited by small, simple models that ignore actual geological structures and lack the use of professional software, making large-scale monitoring and simulation inaccurate and costly.
Innovation Solution
A digital mine modeling method based on a three-dimensional point cloud database using Rhino software to establish a three-dimensional geological model, incorporating rock relief, mining areas, and roadway locations, with grid division for precise simulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ground pressure observation is used for monitoring, then measurement precision is improved, but cost increases and large-scale monitoring becomes difficult
Solution Approach 1:
The patent creates a three-dimensional digital model that copies and reproduces the actual mine geological structures, rock strata, and spatial relationships. This digital copy allows for virtual monitoring and analysis without requiring extensive physical measurements throughout the mine, thereby maintaining measurement precision while enabling large-scale monitoring capability.
Solution Approach 2:
The patent replaces physical ground pressure observation equipment with a computational modeling system. By substituting mechanical measurement systems with a three-dimensional digital model based on point cloud data, the system achieves both precise measurement capabilities and the ability to conduct large-scale monitoring across the entire mine environment.
2Manufacturing precision
If professional 3D modeling software is used to reproduce actual coal seam appearance, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent performs preliminary actions by collecting and processing point cloud data from the mine environment before creating the final three-dimensional model. This preliminary data collection and organization simplifies the subsequent modeling process, allowing professional software to achieve high manufacturing precision without proportionally increasing device complexity, as the difficult work of data acquisition and preprocessing is completed in advance.
Data Source
AI summary
A mine digital model construction method based on a three-dimensional point cloud database is disclosed. Mine data resources are collected, valid coordinate point position information is extracted according to point cloud data extraction standards, and a mine three-dimensional point cloud database is established; a model of rock strata boundary surfaces, mining areas, and tunnels is constructed, a surface three-dimensional geological model is constructed, and a mine three-dimensional geological model is further constructed; and division into grids is performed to obtain a mine extraction inversion digital model. According to the method, a mine three-dimensional point cloud database can be obtained, and various identified rock strata topographies, positions of mining areas and tunnels, fault morphologies, and surface morphologies can be restored; mine extraction inversion digital models having different precisions can be constructed, a foundation is laid for crustal stress field inversion, and a reliable basis is provided for mine disaster prevention and control.