微震预警冲击地压的时间序列方法  

Microseismic predicting coal bump by time series method

作　　者：吕进国[1,2] 潘立[3] 

机构地区：[1]煤炭资源与安全开采国家重点实验室,北京100083 [2]中国矿业大学(北京)资源与安全工程学院,北京100083 [3]中国矿业大学(北京)力学与建筑工程学院,北京100083

出　　处：《煤炭学报》2010年第12期2002-2005,共4页Journal of China Coal Society

基　　金：国家重点基础研究发展计划(973)项目(2010CB226801);国家自然科学基金资助项目(50704034);煤炭资源与安全开采国家重点实验室自主课题资助项目

摘　　要：基于工作面微震事件释能规律的统计分析,研究了微震能量随时间推移而变化的趋势,认为高能量微震事件是冲击地压发生的必要条件。以大同忻州窑煤矿为例,采用时间序列模型中的ARIMA季节性模型和门限自回归模型分别对未来微震事件释放能量进行预测,比较了两种方法的优缺点及适用条件;构建了微震能量方差变化的特征函数,基于此特征函数提出了冲击危险模式的识别方法。研究表明:周期性较为明显的高能量微震事件,ARIMA季节性模型能有效地预测未来微震释能趋势,而门限自回归模型适用于预测高能微震周期性非显著的释能趋势;微震能量方差变化特征函数判别准则能够对冲击地压进行有效预警。Based on the statistical analysis of law of microseismic events releasing energy,researched the tendency of transformations of microseismic energy with the elapse of time,and deem that the high energy events are the necessary condition of coal burst.Taking Xinzhouyao Coal Mine of Datong City as an example,respectively applying the seasonal ARIMA model and threshold autoregressive model of time series models to forecast the microseismic events releasing energy in the future,and compared with the advantages and disadvantages of two methods and applicable conditions.The characteristic function of the variance change of the microseismic energy was constructed,and based on it,put forward a new recognition method for the risk model of coal burst.Research shows that ARIMA seasonal model can effectively predict the futural microseismic releasing energy in cyclical obvious high-energy microseismic events.However,the threshold autoregressive model is suitable to predict high microseismic energy releasing process of non-significant cyclical trend.The criterion of the characteristic function of microseismic energy variance can effectively predict coal burst.

关 键 词：微震 冲击地压 时间序列 门限自回归模型 特征函数 

分 类 号：TD324.1[矿业工程—矿井建设]