基于灰关联方法的突出预测敏感指标研究  

Study on outburst prediction sensitive index based on grey relevancy analysis method

作　　者：韩颖[1] 余伟凡[1] 杨志龙[1] 曹文涛[1] 张平生[1] 

机构地区：[1]河南理工大学能源科学与工程学院,河南焦作454000

出　　处：《河南理工大学学报（自然科学版）》2012年第1期16-18,共3页Journal of Henan Polytechnic University（Natural Science）

基　　金：河南省教育厅自然科学研究计划项目(2009B440004);河南省教育厅自然科学研究资助项目(2010B440002);河南省教育厅自然科学研究计划项目(2011B440002);河南理工大学博士基金资助项目(648222)

摘　　要：白羊岭煤矿为煤与瓦斯突出矿井,主采15号煤层为突出煤层.为提高煤巷掘进突出预测的准确性及有效性,通过现场测定突出预测指标及煤层瓦斯含量,利用灰关联分析方法对钻屑瓦斯解吸指标Δh2,K1,钻屑量S的敏感性进行了研究.研究表明,钻屑瓦斯解吸指标K1可以更准确地反映工作面前方煤体的突出危险程度,可作为白羊岭煤矿煤巷掘进突出预测的敏感指标,突出临界值为0.30 mL/(g.min0.5).Baiyangling Coal Mine is the coal gas outburst mine,which main minable No.15 coal seam has coal and gas outburst risk.In order to improve accuracy and validity of outburst prediction during the course of coal drift excavation,sensitivity of gas desorption index of drill-cutting（Δh2 and K1） and drilling cuttings weight（S） were studied using grey relevancy analysis method according to measured data of outburst prediction index and coalbed gas content.Research results indicate that gas desorption index of drill-cutting（K1） can reflect outburst risk level of coal body in front of working face more well and truly,so K1 is outburst prediction sensitive index in Baiyangling Coal Mine,and its critical value is 0.30 mL/（g·min0.5）.

关 键 词：灰关联分析 突出预测 敏感指标 临界值 

分 类 号：TD713.2[矿业工程—矿井通风与安全]