基于主成分分析法的东荣一矿煤层自然发火指标气体实验研究

Experimental Research on Indicator Gas Spontaneous Combustion in Dongrong No.1 Coal Mine based on Principal Component Analysis

为有效预防东荣一矿由煤自燃引起的灾害,通过煤自燃氧化实验,研究东荣一矿煤层自然发火特性,测定出实验煤样标志气体出现的临界温度并分析其体积分数随煤氧化温度的变化规律;运用主成分分析法对温度、一氧化碳体积分数φ(CO)、烯烷比φ(C_2H_4)/φ(C_2H_6)等9个指标进行综合评判分析,优选出对预测煤自燃起主导作用的指标。研究结果表明,指标气体出现的临界温度及其规律性可以反映出煤的自然发火过程。根据指标气体优选原则和主成分分析法的优选结果,建立以φ(CO)、φ(C_2H_6)、φ(C_2H_4)、φ(C_2H_2)作为主要指标,以烯烷比φ(C_2H_4)/φ(C_2H_6)作为辅助指标的东荣一矿煤层自然发火预测预报体系,提高了煤层自燃早期预测预报的准确性,实现了对矿井火灾的预防。

In order to effectively prevent the disaster caused by coal spontaneous combustion in Dongrong No. 1 Coal Mine,the spontaneous combustion characteristics of coal seams in this coal mine were studied through the experiment of coal spontaneous combustion oxidation,the critical temperature of the marked gas in the experimental coal sample was determined and the variation of its volume fraction with temperature was analyzed;the principal component analysis method was used to comprehensively evaluate the nine indexes such as temperature,φ( CO),φ( C2 H4)/φ( C2 H6),etc.,and the dominant index in predicting coal spontaneous combustion was selected. The results showed that the critical temperature of index gas and its regularity can reflect the spontaneous combustion process of coal. According to the principle of index gas optimization and the optimization results of principal component analysis,a prediction and forecast system for coal spontaneous combustion of Dongrong No.1 Coal Mine was established.φ( CO),φ( C2 H6),φ( C2 H4) and φ( C2 H2) were selected as the main indicators and the ratio of φ( C2 H4)/φ( C2 H6) was selected as the auxiliary indicator. The accuracy of early prediction of coal spontaneous combustion was improved, and the prevention of mine fire was realized.