DocumentCode
3181345
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
fYear
2011
fDate
8-10 Aug. 2011
Firstpage
1799
Lastpage
1802
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/AIMSEC.2011.6010993
Filename
6010993
Link To Document