煤巷掘进工作面突出敏感指标研究  

Resrarch on the prediction sensitive indexes of coal roadway heading face outburst

作　　者：郭明功 王保军[1] 

机构地区：[1]河南理工大学瓦斯地质研究所,河南焦作454003 [2]平煤股份八矿,河南平顶山467000

出　　处：《煤矿现代化》2014年第4期45-48,共4页Coal Mine Modernization

摘　　要：我国煤与瓦斯突出多发生在掘进工作面,为了提高煤巷掘进工作面煤与瓦斯突出危险预测的准确性和可靠性,减少防突工作的盲目性,节约防突经费,本文在对平煤八矿掘进工作面敏感指标进行分析考察的基础上,结合具体地质条件并对比分析相关瓦斯参数在工作面掘进过程中的动态变化曲线,对掘进工作面突出敏感指标进行定性分析。基于灰色系统理论,构建灰色关联数学模型进行定量分析,运用Matlab运算得出瓦斯涌出初速度q系统映射量关联度最大,钻屑量s次之、钻屑解吸指标△h2关联度最小,最终确定瓦斯涌出初速度q为八矿戊组煤层煤巷掘进工作面突出预测敏感指标。In China most of coal and gas outburst occurred in the heading face, in order to improve the accuracy and reliability of coal and gas outburst danger prediction sensitive index in coal roadway heading face, and reduce the blindness of outburst prevention work, saving the out-burst prevention funds, based on the statistically analysis of the sensitive index at heading face in 8th Coal Mine, combining with the mining geological conditions and contrasting the dynamic changes of the related gas parameters at heading face, this paper qualitative analyzed sensi-tive index of outburst danger at heading face. Based on grey system theory, the paper constructed the mathematical model of the grey correla-tion analysis, and calculated that system mapping correlation of the quantity of gas emission initial speed q taked the largest amount, drilling cuttings s second, and the correlation of cuttings desorption index△h2 is smallest. Ultimately determined the gas emission initial speed q is the sensitive gas outburst prediction indexes of F9-10 coal bed in the NO.8 mine.

关 键 词：掘进工作面 煤与瓦斯突出 预测指标 灰色关联 数学模型 

分 类 号：TD713[矿业工程—矿井通风与安全]