Precursor characteristics of acoustic emission electromagnetic radiation and gas and comprehensive early warning of outburst risk in driving face
CAO Kang, LI Zhonghui,YU Desheng,ZHOU Ming, ZHANG Younian, XIA Shankui
中国矿业大学 安全工程学院中国矿业大学 煤矿瓦斯与火灾防治教育部重点实验室贵州盘江精煤股份有限公司 金佳煤矿贵州发耳煤业有限公司
针对煤矿现行的煤与瓦斯突出静态预警方法预警指标单一且不连续,动态预警方法采用的临界值法容易产生误报等问题,通过分析金佳煤矿11227运输巷动力显现事件的前兆特征,提出了趋势预警方法作为声发射强度、电磁辐射强度、瓦斯浓度等指标预警的方法,并确定了声发射强度、电磁辐射强度、瓦斯浓度各指标趋势预警相关参数的临界值。在此基础上根据声发射强度、电磁辐射强度、瓦斯浓度指标预警结果,利用层次分析法确定了各指标权重,提出了声电瓦斯综合预警准则。通过现场应用及分析,结果表明:声电瓦斯综合预警方法可对掘进工作面突出危险性进行连续实时监测预警,综合预警准确率为92.7%,漏报率为0,误报率为7.3%,预警可靠性高,对防治煤与瓦斯突出保障安全生产具有重要的指导意义。
In view of the current coal and gas outburst static early warning methods, the early warning indicators are single and discontinuous, and the critical value method adopted by the dynamic early warning method is prone to false alarms.By analyzing the precursor characteristics of the dynamic manifestation event of No.11227 transportation lane of Jinjia Coal Mine, the trend early warning method is used as a method for early warning of acoustic emission(AE) intensity, electromagnetic radiation(EMR) intensity, gas concentration, and the critical values of the warning parameters related to the trend of AE intensity, EMR intensity and gas concentration are determined. On this basis, according to the early warning results of AE intensity, EMR intensity and gas concentration index, the weights of each indicator were determined by analytic hierarchy process, and the comprehensive early warning criterion for acoustic electricity was proposed. Through on-site application and analysis,the results show that the AE EMR and gas comprehensive warning method can continuously and timely monitor and warn the outstanding danger of the driving face, the comprehensive early warning accuracy rate is 92.7%, the underreport rate is 0, and the false alarm rate is 7.3%, the reliability of the warning are high. It has important guiding significance for the prevention of coal and gas outburst to ensure safe production.
coal and gas outburst,precursor characteristics of AE, EMR and gas,trend warning method,comprehensive warning application of AE, EMR and gas
主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会