Complex Intelligent Fire Detectors

Nowadays, networks and automatism technology are more and more perfect inthe fire automatic alarm systems. But the fire detectors still have problemsabout false alarm and miss alarm. The veracity of the detectors will affect the capability of the whole alarm system. So the fire detection technology has been the main direction of this field.This paper introduces the research in hardware and software based on deep studying with the domestic and foreign existing condition and problem. Temperature sensor, CO sensor and photoelectricity smoke sensor are combined as a whole in hardware. The main references can be tested using the three sensors when fire happened; Neural network signal processing and fuzzy judger are used to signal processing of these sensors. So the intelligent function is realized. The results of experiments show that not only the veracity of the detector is improved observably but also the state of fire can be judged in this structure. Thus it can be seen that combined technology and neural technology can improve the capability and reduce the rate of false alarm and the rate of missing alarm. It can also create condition for forepart alarm.