Intelligent Fire Alarm System Based on Fuzzy Neural Network

Fire is a kind of disaster threatening the social wealth and humanity´s safety. The fire detection is the special type signal´s detection, system must have the ability of automatic adjust the operational parameters to adapt to the environment change. Traditional fire detection systems´ intellectualized degree are low, the error alarm and the leakage take place frequently. In order to reduce the rates of alarm error and leakage of the fire alarm system, a fire detection system model and calculating model of fuzzy neural network for processing fire signal are proposed based on the characteristic of fire detection signal and the requirements of fire detection system. Use fuzzy neural network to process the data detected by sensors intelligently. The design of this fuzzy neural network and its structure are described in detail. At last, this method is proved to be feasible by the result of Matlab simulation.