Danger Detection during Fight against Compartment-Fire Using Moving Averages in Temperature Recordings ()
ABSTRACT
In compartment fires (houses, buildings,
underground, warehouse, etc.), smokes are a major dan- ger during firemen
intervention. Most of the time, they are at high temperature (>800?C) and
they flow everywhere through many kinds of ducts, which leads to the
propagation of the combustion by the creation other fires in places which may
be far away from the initial fire. In this paper, we present a new approach of
the problem, which allows to better follow the fire behavior and especially
to detect the dangers that may appear and endanger firefighters. This approach
consists in a mathematical analysis based on the comparison of moving averages
centered in the past, calculated on the temperature recordings of the smokes.
As a consequence, this method may allow to improve decision support in real
time and therefore to improve the security and the efficiency of firefighters
in their operations against that kind of fires.
Share and Cite:
Lebey, M. , Bouaoud, A. and Lambert, E. (2014) Danger Detection during Fight against Compartment-Fire Using Moving Averages in Temperature Recordings.
World Journal of Engineering and Technology,
2, 36-41. doi:
10.4236/wjet.2014.23B006.
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