Intelligent building fire warning system with WSN
Gang Su, Zhou Hong, Rui Tao Gao · University of Southern Queensland ePrints (University of Southern Queensland) · 2011
Abstract—Fires disasters in a higher frequency often cause huge casualties and property damages. There are many problems in the existing wired fire alarm system, such as long construction period, large investment, maintenance problems, omissions, higher rate of false, etc. Cables are one of the weakest links. Once broken when the fire occurs, they will lead to signal failure in a large scope. Therefore, wireless fire alarm system is urgently demanded. With the development of WSN technology, it’s possible to use wireless technology in fire alarm system. Currently, ZigBee technology is one of the most promising solutions with the features of low-rate, low–consumption and low-cost. In this paper, scheme of wireless fire monitoring network based on ZigBee is proposed. Fire information fusion system based on artificial neural network and fuzzy is setup. Reliability and accuracy of fire forecasts are improved.