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《Mining Safety & Environmental Protection》 2018-03
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Modeling the Prediction of Minimum Ignition Temperature of Coal Dust Cloud Based on the Analysis Index of Coal Quality Industry

LI Yucheng;ZHAO Xiaotao;LIU Tianqi;College of Safety Science and Engineering,Liaoning Technical University;Key Laboratory of Mine Thermo-motive Disaster and Prevention,Ministry of Education( Liaoning Technical University);  
In order to explore the feasibility of using the industrial analysis index to predict the minimum ignition temperature of coal dust cloud,the determination of industrial analysis index of coal and minimum ignition temperature test of coal dust cloud were carried out. This paper analyzed the relationship between the industrial analysis index of 22 kinds of coal samples and the minimum ignition temperature of coal dust cloud by using principal component regression method. The results showed that: the industrial analysis index of different coal and the minimum ignition temperature of coal dust cloud are highly correlated. The extracted three main components are "fixed carbon factor","water factor "and "volatile factor ",and the regression prediction model is constructed. Comparing the prediction results of this model with the test data,the error is less than5%. Meanwhile,as the coefficient before the volatile factor is negative,it can be seen that the higher the volatility,the lower the minimum ignition temperature. It is consistent with the actual situation,and proves the reliability of the built model.
【Fund】: 国家自然科学基金项目(51204089);; 辽宁省教育厅科研项目(L2014131);; 辽宁省自然科学基金项目(201602355)
【CateGory Index】: TD714.5
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