3#煤层自然发火标志气体及临界值确定
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摘要
为做好综放工作面自然发火分级预警,以主采的3#煤层为研究对象,通过程序升温实验、现场测试及统计分析的方法,优选出煤层的自然发火标志气体和确定得到工作面采空区、回风隅角和回风流中CO指标临界值,并依此建立了工作面煤自然发火分级复合指标预警体系。结果表明:采空区、回风隅角和回风流中CO浓度临界值分别为242×10~(-6)、59.6×10~(-6)和20×10~(-6);各个区域建立绿(Ⅰ级)、蓝(Ⅱ级)、橙(Ⅲ级)和红(Ⅳ级)共4级预警响应。
To complete grading warning of spontaneous combustion for the fully mechanized top-coal caving face, the primary mineable No.3 coal seam is taken as the research object. Through temperature-programmed experiment, site test and statistical analysis, the spontaneous combustion mark gas of coal mine is optimized and the critical value of CO index in goaf, return corner and return air of working face is determined. Based on this, a composite index warning system of spontaneous combustion of working face is established. The results show that the critical values of CO concentration in goaf, return corner and return airflow are 242×10~(-6), 59.6×10~(-6) and 20×10~(-6) respectively. Responses for four levels warning, green(Ⅰ), blue(Ⅱ), orange(Ⅲ) and red(Ⅳ),were set up in all regions.
To complete grading warning of spontaneous combustion for the fully mechanized top-coal caving face, the primary mineable No.3 coal seam is taken as the research object. Through temperature-programmed experiment, site test and statistical analysis, the spontaneous combustion mark gas of coal mine is optimized and the critical value of CO index in goaf, return corner and return air of working face is determined. Based on this, a composite index warning system of spontaneous combustion of working face is established. The results show that the critical values of CO concentration in goaf, return corner and return airflow are 242×10~(-6), 59.6×10~(-6) and 20×10~(-6) respectively. Responses for four levels warning, green(Ⅰ), blue(Ⅱ), orange(Ⅲ) and red(Ⅳ),were set up in all regions.
引文
[1]戚颖敏.我国煤矿火灾防治技术的现代发展与应用[J].煤,1999(2):4-6.
[2]梁运涛.煤炭自然发火预测预报的气体指标法[J].煤炭科学技术,2008,36(6):5-8.
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[4]魏砾宏,李润东,李爱民,等.超细煤粉着火特性的热重分析[J].煤炭学报,2008,33(11):1292-1295.
[5]戚绪尧,王德明.预测煤自燃的气体分析法判定指标研究现状[EB/OL].[2018-10-24].http://www.paper.edu.cn.
[6]李学诚.中国煤矿安全大全[M].北京:煤炭工业出版社,1998:227.
[7]谢振华,金龙哲,任宝宏.煤炭自燃特性与指标气体的优选[J].煤矿安全,2004,35(2):10-12.
[8]任江朋.豹子沟矿11号煤层自燃标志气体实验研究[J].煤矿安全,2018,49(7):16-23.
[9]朱令起,周心权,谢建国,等.自然发火标志气体实验分析及优化选择[J].采矿与安全工程学报,2008,25(4):440-443.
[10]朱令起,周心权,朱迎春.东欢坨煤矿自然发火标志气体的优化选择[J].西安科技大学学报,2008,28(2):288-292.
[11]余明高,周世轩,褚廷湘,等.立体瓦斯抽采条件下煤自燃预测预报标志气体的优化选择[J].河南理工大学学报(自然科学版),2012,31(1):1-5.
[12]徐俊.中梁山南矿井煤自燃标志气体及指标体系研究[J].煤炭科学技术,2011,39(9):34-36.
[13]邬剑明,彭举,吴玉国.平朔矿区煤自然发火指标气体选择的试验研究[J].煤炭科学技术,2012,40(2):67-69.
[2]梁运涛.煤炭自然发火预测预报的气体指标法[J].煤炭科学技术,2008,36(6):5-8.
[3]胡社荣,蒋大成.煤层自燃灾害现状与防治对策[J].中国地质灾害与防治学报,2001,11(4):69-71.
[4]魏砾宏,李润东,李爱民,等.超细煤粉着火特性的热重分析[J].煤炭学报,2008,33(11):1292-1295.
[5]戚绪尧,王德明.预测煤自燃的气体分析法判定指标研究现状[EB/OL].[2018-10-24].http://www.paper.edu.cn.
[6]李学诚.中国煤矿安全大全[M].北京:煤炭工业出版社,1998:227.
[7]谢振华,金龙哲,任宝宏.煤炭自燃特性与指标气体的优选[J].煤矿安全,2004,35(2):10-12.
[8]任江朋.豹子沟矿11号煤层自燃标志气体实验研究[J].煤矿安全,2018,49(7):16-23.
[9]朱令起,周心权,谢建国,等.自然发火标志气体实验分析及优化选择[J].采矿与安全工程学报,2008,25(4):440-443.
[10]朱令起,周心权,朱迎春.东欢坨煤矿自然发火标志气体的优化选择[J].西安科技大学学报,2008,28(2):288-292.
[11]余明高,周世轩,褚廷湘,等.立体瓦斯抽采条件下煤自燃预测预报标志气体的优化选择[J].河南理工大学学报(自然科学版),2012,31(1):1-5.
[12]徐俊.中梁山南矿井煤自燃标志气体及指标体系研究[J].煤炭科学技术,2011,39(9):34-36.
[13]邬剑明,彭举,吴玉国.平朔矿区煤自然发火指标气体选择的试验研究[J].煤炭科学技术,2012,40(2):67-69.