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《Coal Mine Machinery》 2015-07
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Application of Multi-sensor Data Fusion in Underground Mines

HUANG Jian;XU Yong-gang;SUN Zhong-ting;College of Information and Electrical Engineering, China University of Mining and Technology;Xuzhou Electromechanical Engineering Branch, Jiangsu United Vocational College;  
In order to overcome the disadvantages of the previous single sensor for coal mine gas environment and ventilation which is related to the safety of the coal mine and its diagnosis is imprecise and incomplete. Presents the adaptive weighted data fusion algorithm and the improved D-S evidence theory; In the meantime, with multiple sensors to collect the source of information in order to improve the accuracy and reliability of the coal mine gas environment detection. The practical results show that, this solution enhances accuracy and reliability of the coal mine gas environment detection.
【Fund】: 国家自然科学基金资助项目(51204186)
【CateGory Index】: TD71;TP212
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