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Seismic Reflection Goaf Detection And3D Modeling And Visualization

Posted on:2012-08-04Degree:MasterType:Thesis
Country:ChinaCandidate:Z J HaoFull Text:PDF
GTID:2180330467972049Subject:Cartography and Geographic Information Engineering
Abstract/Summary:PDF Full Text Request
Underground goaf is one of the most important incentives that may cause production accidents and endanger the safety production in the mining. The existence of mass underground goaf has been greatly threatening the safety production of the mining in our country; consequently, how to obtain the size, shape and boundary of the goaf, construct its3D model will be crucial to the safety production.This paper, in the first part, introduces some main technologies about goaf detection and the background knowledge about3D geologic model building. The Spatial location of the roof and floor position of the goaf in Qidashan Iron mine were obtained by using the Seismic detection technology, combining the iron mine’s special Natural geological conditions and working conditions. The detection achievements have been testified by means of tests and scruting of the drilling exploration.Based on the researches above, SketchUp software was used to build the3D goaf modeling. Methods are as follows, firstly, plugins about3D geological and goaf modeling were written on the SketchUp software platform through SketchUp Ruby API, and run successfully; secondly, geological data from the iron mine and the goaf spatial data obtained above were organized in a certain format, both the3D stratum model of a detection zone and the3D goaf model got displayed directly after the data was imported into the computer. The terrain surface of Qidashan iron ore was also generated, through the interaction with the CAD, both the terrain surface model and the goaf models were coupled together at last, which could show the distributions of the goaf in the terrain surface model more intuitively. Through the researches above, the mine workers can view the relative location and the underground spatial distribution of the goaf more intuitive, which can provide important basis to prevent related geological disasters for the mine workers.
Keywords/Search Tags:digital mine, Seismic detection, goaf, Ruby, goaf model
PDF Full Text Request
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