Research And Design Of Intelligent Fire Alarm System Based On Fuzzy Neural Network

This paper researches and designs an intelligent fire alarm system based on fuzzy neural network. Firstly, this paper introduces the complexion of development of the intelligent fire alarm system. Then, the article introduces the design of hardware, software and arithmetic of the system in details. Finally, the article summarizes the direction of system's development in the future. Hardware design is an emphasis of this paper, includes the main structure of the system and the function of fire detector and local alarm controller, and introduces the design of a motherboard of the fire detector in details. The motherboard achieves the goals: gets data from the sensor, makes the fire detector communicate with the local alarm controller. In the last part of hardware design, the paper also discusses how to improve the ability of anti-interference of the system, and for improve the reliability of the system. Software design includes design of fire detector and local alarm controller. The paper gives the software block diagram and the programming flow charts of each part. Arithmetic design is the other emphasis of this paper, puts forward a fire detection model and an intelligent arithmetic that can present a fire prediction probability, and finally simulate with experiment dada. The arithmetic combines with the character of neural network and fuzzy control, deals with the data of all sensors by neural network, then judges if give the alarm signal by the fuzzy system. Emulation proved finally that it can validly settle the contradiction between sensitivity and accuracy, obtains anticipative purpose basically. This system has the features of intelligence and high reliability, but it has some part that need be improved. So paper finally prospects the future of intelligent fire alarm system, and puts forward some methods.