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RESEARCH PRODUCT

A Bayesian Network Model for Fire Assessment and Prediction

Mehdi Ben LazregJaziar RadiantiOle-christopher Granmo

subject

EngineeringSpeedupDrillbusiness.industryReal-time computingWearable computerBayesian networkFirefightingContext (language use)State (computer science)businessSimulation

description

Smartphones and other wearable computers with modern sensor technologies are becoming more advanced and widespread. This paper proposes exploiting those devices to help the firefighting operation. It introduces a Bayesian network model that infers the state of the fire and predicts its future development based on smartphone sensor data gathered within the fire area. The model provides a prediction accuracy of 84.79i¾?% and an area under the curve of 0.83. This solution had also been tested in the context of a fire drill and proved to help firefighters assess the fire situation and speed up their work.

yearjournalcountryeditionlanguage
2015-01-01
https://doi.org/10.1007/978-3-319-27926-8_24