• DocumentCode
    694761
  • Title

    Study on Prediction System for Disaster of Water-Inrush from Coal Floor

  • Author

    Demin Liu ; Huiqing Lian ; Fei Li ; Linshen Gao

  • Author_Institution
    Coll. Of Geosci. & Surveying Eng., China Univ. of Min. & Technol., Beijing, China
  • fYear
    2013
  • fDate
    7-8 Dec. 2013
  • Firstpage
    423
  • Lastpage
    427
  • Abstract
    Mine hydrogeology conditions are very complex in china, especially in North China type coal mine. When the coal is being mined, it is seriously threatened by Ordovician karst water with high pressure. Water inrush accidents often happen in North China type coal mine which has become an important factor affecting the safety in production of the coal mine. Taking Dong Shan coal mine as an example, the paper analyzed the principle of water-inrush from coal floor of the mine by summarizing the mine water inrush in the coal mine. Early-warning indexes of water inrush which include water temperature, water pressure, stress and strain were built. Structure of prediction system for water-inrush disaster was designed, and the hardware and software of the system were developed. Industrial test for the prediction system was done in 51523 Faces. Practice shows that the prediction system can monitor early-warning indexes of water inrush in real time, and as well to distinguish the mine water inrush risk which can provide the foresight of the information for preventing water inrush disaster.
  • Keywords
    alarm systems; coal; condition monitoring; disasters; emergency management; mining; occupational safety; risk analysis; Dong Shan coal mine; North China; coal floor; coal mine hydrogeology conditions; disaster prediction system; early warning indexes; production safety; water inrush risk; Coal; Floors; Monitoring; Rocks; Stress; Surges; Temperature measurement; Northern China Coalfield; early warning system; remote monitoring and control; water inrush from coal floor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on
  • Conference_Location
    Guangzhou
  • Type

    conf

  • DOI
    10.1109/ISCC-C.2013.130
  • Filename
    6973629