• DocumentCode
    2545683
  • Title

    Sensor networks-based monitoring and fuzzy information fusion System for underground Gas disaster

  • Author

    Ma Fengying

  • Author_Institution
    Inst. of Electr. Eng. & Autom., Shandong Polytech. Univ., Jinan, China
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    596
  • Lastpage
    600
  • Abstract
    In view of the shortcoming of traditional underground gas monitoring system, a new kind of wireless monitoring system was designed. Furthermore, in order to solve the problem of the gas explosion limit reducing once the coal dust involved, the explosion parameters were detected by multi-sensor and the information of dust, gas concentration and temperature from sensors were carried on fuzzy processing to be fused based on fuzzy information and fusion theory. The system can finish fusion computing and decision-making of various system parameters to realize the early prediction for mine explosion successfully. The experimental results indicate that the discerning accuracy and reliability of mine explosion detection system is greatly increased based on fuzzy information and data fusion. It is concluded that the system is of great significance to coal mine production safety.
  • Keywords
    coal; computerised monitoring; decision making; disasters; dust; explosions; fuzzy set theory; mining; reliability; safety; sensor fusion; temperature; wireless sensor networks; coal dust; coal mine production safety; data fusion; decision-making; explosion parameter; fusion computing; fusion theory; fuzzy information fusion system; fuzzy processing; gas explosion; mine explosion detection system; multisensor; reliability; sensor networks-based monitoring; system parameter; temperature; underground gas disaster; underground gas monitoring system; wireless monitoring system; Coal; Coal mining; Explosions; Fuel processing industries; Monitoring; Temperature sensors; data fusion; explosion limit; fuzzy information; gas disaster;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-1-4673-0025-4
  • Type

    conf

  • DOI
    10.1109/FSKD.2012.6233974
  • Filename
    6233974