首页> 外文会议>Youth Academic Annual Conference of Chinese Association of Automation >Research on early warning method of coal and gas outburst based on DOAS double sampling technology
【24h】

Research on early warning method of coal and gas outburst based on DOAS double sampling technology

机译:基于DOAS双抽样技术的煤炭和天然气突出预警方法研究

获取原文

摘要

Preliminary study found that the emission of trace gases helium, argon reflect the existing state of stress in the geology. Through the detection of the changes of He and Ar, it can predict the migration of coal seam stress zone, and further predict the risk of gas outburst. For the Research of sampling technology on He, Ar, CH4 and other trace gas and the neighborhood rough set early warning model in coal and gas outburst, a reliable real time double sampling method is designed, and the joint measurement systems of He, Ar, CH4 is established. The research results will achieve the real-time continuous online detection of He, Ar, CH4, and found that the mechanism of coal and gas outburst prediction based on component characteristics of helium and argon, and provide a new means for coal and gas outburst early warning.
机译:初步研究发现,痕量气体氦气的排放,氩反映了地质的现有压力状态。通过检测他和AR的变化,它可以预测煤层应力区的迁移,并进一步预测气体突出的风险。在煤气和燃气突出中对他,AR,CH4和其他痕量气体和邻域粗糙设定预警模型的采样技术研究,设计了可靠的实时取样方法,以及他,AR的联合测量系统, CH4成立。研究结果将实现他,AR,CH4的实时连续在线检测,并发现基于氦气和氩气的组分特征的煤和燃气突出预测的机制,为早期煤和天然气爆发的新手段警告。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号