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
Link To Document :
بازگشت