Forecast the Gas Gushing out Quantity of Mining Coal Working Surface Based on Markov Chain Model

摘要：

Using the milling coal working surfaces gas density monitoring data, can be accurately divided into the change interval of the mining coal working surfaces gas density. In this paper, the application of Markov chain model is studied to forecast the coal mine gas densitys sector. According to the recursive formula, the known monitoring data is used to predict the next stage of the range of gas density, and to explore the problem of explosion accidents due to the gas concentration off-gauge. The prediction provides a theoretical basis for the mine safety management and gas control.

关键词： Markov chain Transition probability matrix equilibrium moisture distribution gas concentration

作者: Chunrong Wei Shuren Xing Minqiang Xu Yanxia Li Jianhua Sun

作者单位: Harbin Institute of Technology School of Astronautics Hit HeiLongJiang Institute of Science and Tech Harbin Institute of Technology School of Astronautics Hit Harbin, China

会议类型: 国际会议

会议名称: 2011 9th International Conference on Reliability,Maintainability and Safety(第九届国际可靠性、维修性、安全性会议 ICRMS2011)

会议地点: 贵阳

会议语种:英文

页码: 344-348

在线出版日期: 2011-06-12（万方平台首次上网日期，不代表论文的发表时间）