[1]王 鹏,陈 通,司俊鸿,等.冲击地压声-能信息时空分布特征及预测分析[J].西安科技大学学报,2016,(05):669-674.[doi:10.13800/j.cnki.xakjdxxb.2016.0510]
 WANG Peng,CHEN Tong,SI Jun-hong,et al.Prediction analysis on the spatio-temporal distribution feature of acoustic-energy information of rockburst[J].Journal of Xi'an University of Science and Technology,2016,(05):669-674.[doi:10.13800/j.cnki.xakjdxxb.2016.0510]
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冲击地压声-能信息时空分布特征及预测分析(/HTML)
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西安科技大学学报[ISSN:1672-9315/CN:61-1434/N]

卷:
期数:
2016年05期
页码:
669-674
栏目:
出版日期:
2016-09-30

文章信息/Info

Title:
Prediction analysis on the spatio-temporal distribution feature of acoustic-energy information of rockburst
文章编号:
1672-9315(2016)05-0669-06
作者:
王 鹏12陈 通1司俊鸿1宋 超1
1.陕西煤业化工技术研究院有限责任公司,陕西 西安710065;
2.西安科技大学 安全科学与工程学院,陕西 西安 710054
Author(s):
WANG Peng12CHEN Tong1SI Jun-hong1SONG Chao1
1.Shaanxi Coal and Chemical Technology Institute Co.,Ltd.,Xi'an 710065,China;
2.College of Safety Science and Engineering,Xi'an University of Science and Technology,Xi'an 710054,China
关键词:
冲击地压 声-能信息 时空特征 冲击判据
Keywords:
rockburst acoustic-energy information spatio-temporal feature rockburst criterion
分类号:
TD 713
DOI:
10.13800/j.cnki.xakjdxxb.2016.0510
文献标志码:
A
摘要:
华亭煤矿冲击倾向性强、危害性大,要实现冲击地压超前预报,必须对其前兆信息进行采集和分析。通过在250103工作面两帮布置地音监测系统,捕捉冲击地压发生全过程的声-能信息,结合来压步距、推进距离,对其表现的4个阶段:贫寂期、活跃期、突变期、回稳期进行时空特征分析。统计声-能历史样本数据并发现,地音信息小事件异常值占6.72%,大事件异常值占5.68%,能量异常值占5.29%,符合正态分布预测模型。利用层次分析法及循环滚动法,得出地音监测信息综合指标及判断准则。实践表明:所采用的地音监测系统及预测方法能够实时捕捉声-能信息并有效刻画冲击地压倾向性状态,对冲击事件的发生起到准确辨识及超前预报的作用。
Abstract:
According to strong bursting liability,harmful characteristics of Huating coal mine,the precursor information to realize the prediction of rockburst has been collected and analyzed.The whole process of the acoustic-energy information of rockburst was captured by acoustic emission system which was installed in the 250103 working slope.Combined pressurization distance and advancing distance,temporal and spatial characteristics analysis was made according to the performance of the acoustic emission monitoring information including four stages which were the poor stage,the active stage,the mutation stage and the stabilization stage.Acoustic-energy historical sample data was found that the abnormal value of acoustic emission for the small events accounted for 6.72%,the large events accounted for 5.68% and the energy accounted for 5.29%.Thus,the prediction model of normal distribution was fited the result.Using the analytic hierarchy process and the method of cyclic rolling,the comprehensive index and criterion of the acoustic emission monitoring information are obtained.The practice showed that the monitoring system and the forecasting method can capture the acoustic-energy information in real time and effectively describe the occurrence of the rockburst,it could have an early identification and prediction of the rockburst accident.

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备注/Memo

备注/Memo:
收稿日期:2016-03-14 责任编辑:刘 洁
通讯作者:王 鹏(1983-),男,陕西汉中人,工程师,博士研究生,E-mail:pengwang555@126.com
更新日期/Last Update: 2015-10-30