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SmartRescue: Architecture for Fire Crisis Assessment and Prediction
Mehdi Ben Lazreg
author
Jaziar Radianti
author
Ole-Christoffer Granmo
author
2015
University of Agder (UiA)
Kristiansand, Norway
English
In case of indoor fire hazards, firefighters face difficulties at assessing the fire situation and evacuating trapped victim inside the building, especially when the fire is big, and the building is unknown to them. On the other hand, modern sensor technologies in smartphone are becoming more advanced, widespread, and can be exploited for helping the firefighting operation. This paper proposes using smartphones as a distributed sensing and computing platform, for supporting firefighters to conduct their mission. The developed solution is based on collecting sensor data from smartphones. A Bayesian network then uses this data to generate a picture of the fire and predict its development. The additional indoor positioning feature make this proposed solution a promising tool to make the firefighter intervention more efficient and fast in order to save more lives.
Bayesian Network
Fire Prediction
Indoor Positioning
Smartphone App
exported from refbase (http://idl.iscram.org/show.php?record=1295), last updated on Tue, 10 Nov 2015 04:16:56 +0100
text
http://idl.iscram.org/files/mehdibenlazreg/2015/1295_MehdiBenLazreg_etal2015.pdf
MehdiBenLazreg_etal2015
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2015
L. Palen
editor
M. Buscher
editor
T. Comes
editor
A. Hughes
editor
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
2015
University of Agder (UiA)
Kristiansand, Norway
conference publication
9788271177881
2411-3387
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