3D Modeling And Realization Of Coal Mine Resources Estimation

Coal is still one of the pillar energy sources in my country.The estimation of coal resources reserves and three-dimensional dynamic management are important tasks in coal mine construction,mining and management.Before the coal seam is mined,there are only limited coal seam exposure points.How to use the limited data? It is of great significance for the precise management of coal resources reserves and the precise design and efficient utilization of coal mine exploration,construction,and production.By establishing a three-dimensional coal mine resources estimation model,the thesis explores the accurate estimation method of coal mine resources,and compares the estimation accuracy of multiple models to find the best coal mine resources estimation method.In this thesis,based on the analysis of the relevant data of a coal mine and the research on algorithms related to various programming languages,combined with the coal point data of the coal mine in the experimental area,the appropriate triangulation algorithm is selected for the resources blocks that need to be estimated.Delaunay triangles are formed on the plane by forming the coal points in the resources block and the boundary points of the blocks,and finding the barycenter of each triangle as a new interpolation point of the triangle,and connecting each barycenter with the triangle vertices to form a new layer Triangle,repeated interpolation,to achieve triangle encryption operation.In this thesis,based on the spatial position and thickness data of all coal sighting points in the known coal seam,a Kriging interpolation model and a surface spline interpolation model are respectively constructed,and the block boundary points and the new interpolation formed by triangulation are calculated by the model.Seam thickness value at point.This thesis introduces the surface spline mathematical model into coal resources estimation for the first time.By randomly selecting several points in the coal seam that are known to be visible in the coal seam participating in the modeling,and removing them from the original data of the modeling,as unknown points,the coal thickness value of the coal seam is estimated by the model,and the original value of each point is compared.The accuracy of the model was cross-validated.Using the triangles formed by subdivision and encryption,multiply the area of each triangle of the resources block segment to be estimated by the average coal seam thickness of the three vertices of the triangle(see coal point or prediction point)to obtain the volume of each triangular prism,and divide the volume into Add up to get the volume of the entire resources block,and multiply by the coal seam bulk density to get the estimated value of the resources block.Finally,the predicted value is compared with the rough predicted value in the original data.The whole process of resources 3D modeling and resources estimation is realized by using Python programming,and the automatic estimation of resources amount is achieved.The coal seam is triangulated and encrypted,and dense triangular mesh data is obtained after many times of encryption.After processing the triangular mesh data and modeling with Open GL,an interactive 3D visualization of the thickness change of the coal seam is obtained,which can be enlarged.Shrinking,rotating,and pulling up the length,3D shows the variation of the coal seam thickness value in 3D space.