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《China Safety Science Journal》 2015-01
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Gas concentration real-time pre-warning at coal mine working face based on correlation analysis of multi-point monitoring data

DONG Ding-wen;QU Shi-jia;WANG Hong-gang;School of Energy Engineering,Xi'an University of Science & Technology;Institute of Changzhou Automation Research,China Coal Technology & Engineering Group;  
For effective analysis of coal mine gas monitoring data to realize effective working face gas concentration pre-warning and expand the monitoring system functions,a monitoring data correlation analysis-based working face gas concentration pre-warning method was worked out. The correlation characteristics of multi- points monitoring data at working face were abstracted by using Baysian networks method,combining its statistical characteristics. Real-time monitoring data-based pre-warning indexes and their thresholds were determined and the gas concentration abnormal situations could be analyzed to realize timely and dynamically quantitative pre-warning. The pre-warning method was used to carry out gas concentration pre-warning analysis at the working face 32212 of a certain coal mine in Ningxia. The analysis results conform with the reality.
【Fund】: 国家自然科学基金资助(51104116);; 西安科技大学博士启动基金资助(2012QDJ030)
【CateGory Index】: TD712
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