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Forecast the gas gushing out quantity of mining coal working surface based on Markov chain model

  • Chunrong Wei*
  • , Shuren Xing
  • , Minqiang Xu
  • , Yanxia Li
  • , Jianhua Sun
  • *Corresponding author for this work
  • School of Astronautics, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Using the mining coal working surface's gas density monitoring data, can be accurately divided into the change interval of the mining coal working surface's gas density. In this paper, the application of Markov chain model is studied to forecast the coal mine gas density's 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.

Original languageEnglish
Title of host publicationICRMS'2011 - Safety First, Reliability Primary
Subtitle of host publicationProceedings of 2011 9th International Conference on Reliability, Maintainability and Safety
Pages344-348
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 9th International Conference on Reliability, Maintainability and Safety: Safety First, Reliability Primary, ICRMS'2011 - Guiyang, China
Duration: 12 Jun 201115 Jun 2011

Publication series

NameICRMS'2011 - Safety First, Reliability Primary: Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety

Conference

Conference2011 9th International Conference on Reliability, Maintainability and Safety: Safety First, Reliability Primary, ICRMS'2011
Country/TerritoryChina
CityGuiyang
Period12/06/1115/06/11

Keywords

  • Markov chain
  • Transition probability matrix
  • equilibrium moisture distribution
  • gas concentration

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