• DocumentCode
    2838263
  • Title

    The safety monitoring of coal mine drainage facilities based on BP neural network

  • Author

    Zhao, Shu-Fang ; Chen, Li-Chao

  • Author_Institution
    Inst. of Comput. Sci. & Technol., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
  • Volume
    6
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Coal mine water inrush is a very difficult problems which should be solved more earlier, and it have long plagued safe production of coal mines. The reliable operation of coal mine drainage systems plays a vital role in safe production of coal mines. Based on the non linear relationship of the state parameters of the coal mine drainage facilities, we propose a safety monitoring method based on BP neural network in this paper. This method can get the results of monitoring quickly and accurately, and provide Scientific decision-making information for Coal Mine Safety management in order to avoid accidents. Through the validation of examples, the method is objective, validity and accuracy. It can provide a more scientific and reliable theoretical basis for the monitoring and warning of the coal mine drainage facilities.
  • Keywords
    backpropagation; coal; condition monitoring; decision making; mining; neural nets; production engineering computing; production facilities; safety; BP neural network; coal mine drainage facility system; coal mine safety management; coal mine water inrush; safety monitoring method; scientific decision-making information; Computer languages; Electron tubes; Monitoring; Security; BP neural network; drainage facilities; monitoring; safety warning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620665
  • Filename
    5620665