• DocumentCode
    2549806
  • Title

    Particle filter based study of fire forecasting in RCRSS

  • Author

    Guan Daqi ; Xu Yingqiu ; Tan Yingzi

  • Author_Institution
    RoboCup Res. Group, Southeast Univ., Nanjing, China
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    1265
  • Lastpage
    1268
  • Abstract
    RoboCupRescue simulation system aims at simulating large-scale disasters in order to explore coordination strategies for real-life rescue missions. Rules of fire propagation are complex, so most teams only use some features of fire for decision, and it lead to the limitation of the fire forecasting and decision-making. This article introduces a kind of simplified fire propagation model based on the principle of fire simulator and a particle filter based online fire forecasting method. In the end, the result of forecasting will be introduced.
  • Keywords
    disasters; emergency services; fires; multi-agent systems; particle filtering (numerical methods); RoboCupRescue simulation system; coordination strategies; decision making; fire feature; fire forecasting; fire propagation model; fire simulation; large-scale disasters; particle filter; real-life rescue mission; Decision making; Fires; Gases; Geographic Information Systems; Heat transfer; Large-scale systems; Particle filters; Predictive models; Temperature dependence; Temperature measurement; RCRSS; fire propagation model; fire simulator; particle filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344446
  • Filename
    5344446