用户名: 密码: 验证码:
同煤东周窑煤矿突水水源判别应用研究
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Application and research on water source identification of water inrush in Dongzhouyao Coal Mine of Datong Coal Mine Group
  • 作者:李新明
  • 英文作者:LI Xin-ming;Coal Management Company,Shanxi Coal Import and Export Group;
  • 关键词:突水水源判别 ; 东周窑煤矿 ; 支持向量机
  • 英文关键词:Water source identification of water inrush;;Dongzhouyao Coal Mine;;Support vector machine
  • 中文刊名:TMJS
  • 英文刊名:Science and Technology of Datong Coal Mining Administration
  • 机构:山西煤炭进出口集团煤业管理公司;
  • 出版日期:2017-08-15
  • 出版单位:同煤科技
  • 年:2017
  • 期:No.156
  • 语种:中文;
  • 页:TMJS201704005
  • 页数:3
  • CN:04
  • ISSN:14-1117/TD
  • 分类号:20-22
摘要
本文以同煤东周窑煤矿突水水源为例,通过钙镁离子等7种水源化学指标,使用支持向量机SVM方法对东周窑煤矿中煤系水源、太灰水源和奥灰水源共计3类突水水源进行分类判定,给出应用分析范例。研究结果发现,在充分提供学习样本的情况下东周窑煤矿突水水源方法的判定精度达到了90%以上,可以为后续的突水水源判定提供模型和方法。
        In this paper,taking the water source of water inrush in Dongzhouyao Coal Mine as an example,based on the seven chemical indicators of water sources such as calcium and magnesium ions,three kinds of water source of water inrush that coal wate source,limestonewate source,Ordovician limestonewate source in Dongzhouyao Coal Mine are classified and determined,and the application analysis examples are given.The results show that the estimating accuracy of water source of water inrush in Dongzhouyao Mine can achieve 90% in the case of providing the full learning samples,which can provide the model and method for the subsequent water source identification of water inrush.
引文
[1]徐新华,郑吉玉,董海彬.东周窑煤矿煤层瓦斯赋存特征及突出危险性评估[J].能源技术与管理,2014,02:11-13.
    [2]孟召平,易武,兰华,王萌.开滦范各庄井田突水特征及煤层底板突水地质条件分析[J].岩石力学与工程学报,2009,02:228-237.
    [3]狄效斌.东周窑煤矿井检区水文地质条件及涌水量预测[J].煤炭技术,2009,10:128-130.
    [4]邵良杉,白媛,邱云飞,杜占玮.露天采矿爆破振动对民房破坏的LSSVM预测模型[J].煤炭学报,2012,10:1637-1642.
    [5]刘希亮,赵学胜,陆锋,孙文彬.基于GA-SVM的露天矿抛掷爆破抛掷率预测[J].煤炭学报,2012,12:1999-2005.
    [6]杨天鸿,唐春安,谭志宏,朱万成,冯启言.岩体破坏突水模型研究现状及突水预测预报研究发展趋势[J].岩石力学与工程学报,2007,02:268-277.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700