Mine gas monitoring by multi-source information clustering fusion
SUN Yanbo1,LIU Zongzhu2,MENG Ke1,TANG Yang1
1. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou Jiangsu 221116, China
2. School of Mines, China University of Mining and Technology, Xuzhou Jiangsu 221116, China
Abstract：Due to the complexity and the dynamic changes of the coal mine environment, the concentrations of harmful gases are difficult to be accurately monitored. The traditional monitoring methods use a single sensor to pick-up information, and the collected data have simple data form, low reliability, big error and so on. Concerning these problems, a new method was proposed in this paper, that is, sampling a variety of heterogeneous gases sources, and then taking advantage of the strong classification algorithm to filter, lastly fusing the above obtained information. As experiments state, the new method significantly improve the reliability of the mine monitoring system.
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SUN Yanbo LIU Zongzhu MENG Ke TANG Yang. Mine gas monitoring by multi-source information clustering fusion. Journal of Computer Applications, 2013, 33(06): 1783-1786.
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2013, Vol. 33 
