基于敏感指标法的煤与瓦斯突出危险性预测技术研究  

Research on Coal and Gas Outburst Risk Prediction Technology Based on Sensitive Index Method

作　　者：王超群 WANG Chaoqun(School of Big Data and Artificial Intelligence,Xinyang University,Xinyang 464000,China)

机构地区：[1]信阳学院大数据与人工智能学院,河南信阳464000

出　　处：《煤炭技术》2023年第4期161-163,共3页Coal Technology

摘　　要：基于目前我国煤矿工作面常用的敏感指标法突出危险性预测技术,通过数据分析及计算,提出了一种加权敏感指标法对工作面突出危险性进行预测。借助SPSS软件确定各项敏感指标的加权系数,计算求得加权敏感指标E值,完成突出危险性预测工作。并在白坪煤矿进行工程实践,结果显示:该方法充分考虑所有敏感指标对瓦斯动力效应的影响,与传统方法相比,能够在一定程度上避免预测工作中出现的偶然误差,使突出危险性预测的结果更加准确可靠。Based on the outburst risk prediction technology of sensitive index method commonly used in working faces in China,a weighted sensitive index method is proposed to predict the outburst risk of working faces through data analysis and calculation.With the help of SPSS software,the weighted coefficient of each sensitive index is determined,the weighted sensitive index E value is calculated,and the outburst risk prediction is completed.The engineering practice in Baiping coal mine shows that this method fully considers the influence of all sensitive indicators on gas dynamic effect,and can avoid accidental errors in prediction to a certain extent compared with the traditional method,making the prediction result of outburst risk more accurate and reliable.

关 键 词：突出危险性预测 敏感指标 煤与瓦斯突出 煤矿安全 

分 类 号：TD713[矿业工程—矿井通风与安全]