Development of a Multi-Criteria Algorithm for Fast and Reliable Fire Detection.
Development of a Multi-Criteria Algorithm for Fast and
Reliable Fire Detection.
Jones, W. W.
International Conference on Automatic Fire Detection
"AUBE '04", 13th Proceedings. University of Duisburg.
[Internationale Konferenz uber Automatischen
Brandentdeckung.] September 14-16, 2004, Duisburg,
Germany, Luck, H.; Laws, P.; Willms, I., Editor(s)(s),
184-195 pp, 2004.
fire detection; fire detection systems; algorithms;
neural networkd; CFAST; sensors
The purpose of detecting fires early is to provide an
alarm when there is an environment which is deemed to be
a threat to people or a building. High reliability
detection is based on the supposition that it is
possible to utilize a sufficient number of sensors to
ascertain unequivocally that there is a growing threat
either to people or to a building and provide an
estimation of the seriousness of the threat. It has been
shown to be possible to detect fires early and reliably
using the analog signal of the current generation of
fire detectors. The best combination for early detection
has been shown to be the complement of ionization,
photoelectric, carbon monoxide and temperature. This
is "best" in the sense that it is possible, using
current day sensors, to see characteristic signatures
very early, as well as to deduce quantitative
information beyond the normal tenability limits. This
paper will demonstrate this with an example using a
neural network trained with a model of fire growth and