• DocumentCode
    2271625
  • Title

    The Study of Coal Mine Safety State Warning and Assistant Decision-MMaking

  • Author

    Guo, Zhanglin ; Zhang, Chao ; Zhang, Jing

  • Author_Institution
    Sch. of Econ. & Manage., HeBei Univ. of Eng., Handan
  • Volume
    3
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    830
  • Lastpage
    834
  • Abstract
    Based on the ideology of "using the monitor data to reflect the production safety and using the risk analysis and safety evaluation methods to guide safety management to realize the objection of mine coal safety state warning and assistant decision-making support system", with Bofang coal mine of Shanxi Orchids Corporation\´s practical experience in safety state management, we set up a warning and assistant decision-making support system on the theme of "mine safety". The establishment of the system can make coal mine safety management staffs at all levels control the mine safety situation, improve the reaction speed of all the possible risk, deal with the significant security risks in time, prevent the occurrence of disasters and reduce the incidence of major accidents and injury rate effectively, so as to open up a new way for coal mine production safety.
  • Keywords
    coal; decision making; decision support systems; mining industry; risk analysis; safety systems; Bofang coal mine; Shanxi Orchids Corporation; assistant decision-making support system construction; coal mine safety state warning; mine enterprise automation control system; production safety evaluation method; risk analysis; Accidents; Decision making; Disaster management; Level control; Monitoring; Product safety; Production systems; Risk analysis; Risk management; Security; coal mine safety; comprehensive risk management; decision support system; reduction and prevention of coal mine disasters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.490
  • Filename
    4740113