- Author
-
Milke, J. A.
- Title
- Discriminating Fire Detection With Multiple Sensors and Neural Networks.
- Coporate
- Maryland Univ., College Park
- Sponsor
- National Institute of Standards and Technology, Gaithersburg, MD
- Book or Conf
- 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 p.,
1997
- 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
- Identifiers
- single source experiments; classification of test sources; maximum rate of rise of CO₂ concentration; combinations of fire and non-fire sources; average CO/CO₂ ratio for fire and nuisance source combinations
- 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.