• DocumentCode
    2814030
  • Title

    The Research of Fuzzy Forecasting Spontaneous Combustion of Coal Bass on Tube of Flux

  • Author

    Bian Bing ; Guohuan, Lou

  • Author_Institution
    Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan, China
  • fYear
    2009
  • fDate
    1-3 Nov. 2009
  • Firstpage
    110
  • Lastpage
    113
  • Abstract
    A direct temperature measurement is the most direct and reliable method to forecast the state of spontaneous combustion of coal. However, due to constraints of the temperature sensor coverage, the number and arrangement of site, the direct measurement method is not a feasible method. Therefore, the degree of spontaneous combustion associated with the development of physical, chemical indicators were founded. We established the function between these indicators of the spontaneous combustion of coal development and the extent of the relationship to forecast coal self-ignition system basis. We can realize the spontaneous combustion of coal forecast development. The system is a Multi-parameter, long time-delay, nonlinear complex systems. It is difficult to use an accurate description of the mathematical model. Therefore, we use the method of fuzzy control. This paper introduces a fuzzy control theory based on tube of flux to build a coal spontaneous combustion forecasting system.
  • Keywords
    coal; combustion; delays; fuzzy control; ignition; mining; nonlinear systems; coal bass; coal development; coal mine production; coal self-ignition system forecasting; direct temperature measurement; flux tube; fuzzy control theory; fuzzy forecasting spontaneous combustion; mathematical model; nonlinear complex systems; spontaneous combustion; temperature sensor; time-delay systems; Combustion; Intelligent networks; Intelligent systems; forecast; fuzzy control; self-ignite;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-5557-7
  • Electronic_ISBN
    978-0-7695-3852-5
  • Type

    conf

  • DOI
    10.1109/ICINIS.2009.37
  • Filename
    5363172