Title :
3D visualization for mining subsidence analysis and research
Author :
Sun, Qing ; Zhao, Tongbin ; Jia, Ruisheng
Author_Institution :
Dongfang Coll., Shandong Univ. of Finance, Taian, China
Abstract :
In order to scientifically analyze the coal mining subsidence prediction, OpenGL technology is used to solve mining subsidence prediction model of the 3d visualization problem in this paper. By combining the mining subsidence theory and 3d visualization technology, the mining subsidence 3d model is established with using various coal parameters, geological features, and sample point prediction sinking data. Experimental results show that the forecasting model for mining subsidence can be analyzed from different dimensions by the 3d visualization of subsidence based on OpenGL platform. The OpenGL-based 3d visualization model can effectively solve the mining subsidence prediction stereoscopic observation and thus a class of problem with predicting model of 3d visualization is solved.
Keywords :
coal; data visualisation; geology; mining; solid modelling; stereo image processing; 3D visualization; 3d model; OpenGL technology; coal mining subsidence prediction; coal parameters; geological features; stereoscopic observation; Data mining; Data visualization; Face; Predictive models; Solid modeling; Three dimensional displays; Tin; 3D; mining subsidence; modeling; visualization;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010993