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Discriminating Fire Detection With Multiple Sensors and Neural Networks.


pdf icon Discriminating Fire Detection With Multiple Sensors and Neural Networks. (987 K)
Milke, J. A.

Fire Suppression and Detection Research Application Symposium. Research and Practice: Bridging the Gap. Proceedings. National Fire Protection Research Foundation. February 12-14, 1997, Orlando, FL, 12-26 pp, 1997.

Sponsor:

National Institute of Standards and Technology, Gaithersburg, MD

Keywords:

fire suppression; fire detection; fire research; fire safety; sensors; neural networks; smoke detection; evacuation; egress; detection time; small scale fire tests; large scale fire tests; carbon dioxide; carbon monoxide

Abstract:

A primary objective of residential smoke detection is to increase the time available for evacuation. In a recent experimental study, only 200 to 300 seconds of available egress time was provided by a smoke detector located in the room of origin with a smoldering fire. In come cases the smoke detector in an adjacent room actuated after untenable conditions had developed in the room of origin.