Discriminating Fire Detection With Multiple Sensors and Neural Networks.
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.
Building and Fire Research Laboratory
National Institute of Standards and Technology
Gaithersburg, MD 20899