Fire Safety Science Digital Archive

Sensitive fire sensors are necessary to detect fires in their early stage, but they often produce false alarms from non-fire phenomena. It has lately become clear that fire and non-fire patterns exist as a result of analyzing fire and non-fire testing data. Changing the rate of sensor output per minute and normalized sensor output is used as patterns for analyzing sensors' data in various conditions. An odor sensor and a smoke sensor are very effective in discriminating between fire / non-fire phenomena by adopting artificial neural net which has been trained to recognize their patterns.