A ship fire alarm system based on fuzzy neural network

The purpose of a ship fire alarm system is to detect a fire at an earlier stage in the ship and then to give a highly reliable judgement result. The paper presents a multi-sensor fire detection algorithm using two fire parameters (temperature and smoke density). The processing of the sensor signals are carried out by a fuzzy inference system based on a neural network with genetic algorithm learning method. The use of more than one sensor in the fire alarm system provides additional information on the environmental condition and allows a less erroneous alarm between the fire and no-fire case. The simulation results demonstrate the effectiveness of this method.