A sensor networks based method for detecting mine methane

Shuai Li, Zaochun Zhang, Yiwu Ma

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)


This paper describes a new technique based on sensor networks for detecting mine methane. By contrast to the traditional methane detection, it has advantages of avoiding unnecessary missed alarm, which might lead to a serious consequence. In order to reduce the complexity of numeric calculation and improve the real-time performance of detection, a radial basis function network is applied for estimating information of the methane source. Simulations reveal that this presented method can effectively avoid missed alarm which probably happens with for traditional method. The study will develop a new field for the methane detection in mine industry.
Original languageEnglish
Title of host publication2007 International Conference on Information Acquisition, ICIA
Number of pages5
Publication statusPublished - 1 Dec 2007
Externally publishedYes
EventInternational Conference on Information Acquisition, ICIA 2007 - Jeju City, Korea, Republic of
Duration: 9 Jul 200711 Jul 2007


ConferenceInternational Conference on Information Acquisition, ICIA 2007
Country/TerritoryKorea, Republic of
CityJeju City


  • Methane
  • Missed alarm
  • Radial basis function network
  • Sensor networks

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management


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