Cube Predicting Model Based 3D Predicting Methods Of Blind Orebody And Software Development

Large-scale mineral resources prediction in mining area is changing from 2D into 3D. It's concerned with prediction theories and techniques, such as access to 3D exploration information, 3D prediction andevaluation methods, 3D visualization technology, etc. These are the forefront areas of current studies. The 3D exploration methods and 3D geological modeling studies are two most important areas. In this paper, the following areas of researches are carried out:(1)This paper describes related concepts, theories and technology of large-scale prediction of concealed orebodies, and the practical significance of large-scale mineralization prediction theory in solution of our crisis of mine problem. Describing related concepts of spatial data models and data structures of 3D geological modeling system. Finished comparative analysis of common 3D spatial data models.(2)Based on the research of mineral prediction, this paper utilizes the existing commercial 3D geological modeling software to analysis 3D geological modeling process. Using Tin deposit in Gejiu, Yunnan as example, this paper discusses geological data preprocessing, 3D modelling and mathematical methods of concealed orebodies quantitative prediction, and set up a full set of the "cube prediction model" 3D quantitative prediction method and process of concealed orebodies.(3)From the perspective of computer algorithms, this paper studies 3D visual expression of prospecting information and prediciton processing of concealed orebodies, and prompt 3D geological model visualization based on Delaunay triangulation, 3D cube model prediction unit building and inquiries based on the Octree, ore surface model and isosurface extraction visualization based on Marching Cube algorithm. These key technical issues researches provide technical guarantee to software development of "cube prediction model".(4)Based on the researches of theory and algorithms above, this paper prompt the B-Rep vector and Octree raster spatial data integration framework model to build "Cube Prediction Model" system - DeepMine, and studies the system's construction, Functional Design, the specific details of Programming. This system developed on Visual C++ development platform, using access databases and Open Inventor 3D software development kits.