Particle filter based study of fire forecasting in RCRSS

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...

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Bibliographic Details
Main Authors: Guan Daqi, Xu Yingqiu, Tan Yingzi
Format: Conference Proceeding
Language:English
Subjects:
Decision making
fire propagation model
fire simulator
Fires
Gases
Geographic Information Systems
Heat transfer
Large-scale systems
particle filter
Particle filters
Predictive models
RCRSS
Temperature dependence
Temperature measurement
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Summary: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.
DOI:10.1109/ICIEEM.2009.5344446