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Coal mining GPS subsidence monitoring technology and its application.pdf

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Coal mining GPS subsidence monitoring technology and its application

Mining Science and Technology (China) 21 (2011) 463–467Contents lists available at ScienceDirect Mining Science and Technology (China) journal homepage: www.elsevier .com/locate /mstcCoal mining GPS subsidence monitoring technology and its application Wang Jian a,b,?, Peng Xiangguo a, Xu Chang hui c aKey Laboratory of Land Environment and Disaster Monitoring of SBSM, China University of Mining Technology, Xuzhou 221116, China b State Key Laboratory of Coal Resources and Mine Safety, China University of Mining Technology, Xuzhou 221116, China c School of Surveying Spatial Information Systems, University of New South Wales, Sydney 2052, Australiaa r t i c l e i n f o Article history: Received 2 November 2010 Received in revised form 6 December 2010 Accepted 18 December 2010 Available online 2 July 2011 Keywords: GPS SVM DEM Subsidence monitoring datum1674-5264/$ - see front matter 2011 Published by doi:10.1016/j.mstc.2011.06.001 ? Corresponding author. Tel.: +86 E-mail address: wjian@ (J. Wang).a b s t r a c t We proved theoretically that geodetic height, measured with Global Positioning System (GPS), can be applied directly to monitor coal mine subsidence. Based on a Support Vector Machine (SVM) model, we built a regional geoid model with a Gaussian Radial Basis Function (RBF) and the technical scheme for GPS coal mine subsidence monitoring is presented to provide subsidence information for updating the regional Digital Elevation Model (DEM). The theory proposed was applied to monitor mining subsi- dence in an Inner Mongolia coal mine in China. The scheme established an accurate GPS reference net- work and a comprehensive leveling conjunction provided the normal height of all GPS control points. According to the case study, the SVM model to establish geoid-model is better than a polynomial fit or a Genetic Algorithm based Back Propagation (GA-BP) neural network. GPS-RTK measurements of coal mine subsidence information can be quickly acquired for upd