基于声发射特征参数的突出随掘预测指标研究与应用  

Research and Application of Outburst while Excavation Prediction Index Based on Acoustic Emission Characteristic Parameters

作　　者：胡杰 Hu Jie(Chongqing Research Institute,China Coal Technology and Engineering Group,Chongqing 400037,China;State Key Laboratory of Coal Mine Disaster Prevention and Control,Chongqing 400037,China)

机构地区：[1]中煤科工集团重庆研究院有限公司,重庆400037 [2]煤矿灾害防控全国重点实验室,重庆400037

出　　处：《煤矿机械》2025年第4期158-161,共4页Coal Mine Machinery

基　　金：国家“十四五”重点研发计划项目(2023YFC3009005-04);中煤科工集团重庆研究院有限公司自立科技项目(2023YBXM37)。

摘　　要：为降低声发射特征参数随机性与波动性强、数据量大等特性对实时数据分析的影响,提升声发射监测预警时效性与准确性,以声发射特征参数为基础,对现场采集监测信号的声发射能量指标进行了数值特征分析,确定了2 h能量均值累计值拟合曲线的斜率ken为突出随掘预测指标。现场应用结果表明:指标ken判识结果与钻屑瓦斯解吸指标K1值测定结果一致,且在时间和空间上均超前于K1值进行了异常提示,与实际情况相符;该指标降低了系统运算量,提升了监测时效性,为突出矿井煤巷掘进提供了一种有效的预测手段,可进一步推广应用。To reduce the impacts of strong randomness and volatility,and large data volume of acoustic emission characteristic parameters on real-time data analysis,and to improve the timeliness and accuracy of acoustic emission monitoring and early warning,analyzed the numerical characteristics of acoustic emission energy index of on-site collected monitoring signals based on acoustic emission characteristic parameters,and determined the slope ken of the 2 h energy mean cumulative fitting curve as the outburst while excavation prediction index.The application results show that the identification result of index ken is consistent with the measurement result of the drilling cuttings gas desorption index K1 value,and provides abnormal alerts ahead of the K1 value in both time and space,which is consistent with the actual situation.This index reduces the system computational load and improves monitoring timeliness,which provides an effective prediction method for coal roadway excavation in outburst mines,and can be further promoted and applied.

关 键 词：声发射 特征参数 预测指标 研究与应用 

分 类 号：TD713[矿业工程—矿井通风与安全]