The Intelligence Fire Alarm System Based On Fuzzy Neural Network

The fire detection technology has always been an important subject of the realm of security. The traditional fire detection method based on simple mathematical model a low level of intelligence, a simple algorithm to the characteristics of fire detection in the area of security applications is limited There is a great space to promote in the technique. Therefore, the development of intelligent automatic alarm, the ability to identify fire detection devices have important practical significance and value. Based on the analysis of fire alarm systems constitute the smallest on the basis of work to do the following:First, the combination of the characteristics of the fire signal, a algorithm model of the fuzzy neural networks is announced to identify a fire signal. The model adopted by the trend function, the output of the trend back to the input algorithm model, which is given to more accurately forecast the probability of alarm signals, to identify trends do not have the fire signal characteristics of the pseudo-fire signal. The simulation results proved the feasibility of this approach.Secondly, the paper designs and debugs a hardware interface unit, including a multi-function interface board, a bus drive board and a eight the roads multi-line board on the base of the embedded system.Finally, the fire alarm system of embedded software research and motherboard design. Combining modern embedded systems and C++ programming language features, developed the underlying communications agreement and the preparation of the communications module C++ communications classAt present, intelligent fire alarm systems have been put into application, identification capability and simple operation, safe and alarm system similar to the design of a certain significance.