基于无线多传感器信息融合的火灾检测系统

传统的火灾监控系统往往采用基于单传感器的有线信息检测与传输系统,布线不方便,环境适应性和抗干扰能力较差.本文提出了一种基于ZigBee无线多传感器网络的火灾监控系统,运用包括烟雾、温度、CO气体等多传感器感知火燃烧状态,对是否发生火灾分配不同信任度函数,利用D-S证据理论融合3种传感器信息以判断火灾状态.本文详细阐述了系统工作原理、多传感器信息、D-S证据理论等关键技术,并给出了多传感器响应燃烧实验的曲线图,理论分析和实验结果表明,该无线传感器火灾监测系统能更准确地检测火情,减少误报率,提高系统的可信度.

Fire Detection System Based on Wireless Multi Sensor Information Fusion

Traditional fire monitoring systems usually adopt single sensor to detect fire by wire transmission systems, and they have inconvenient wiring, low environmental adaptability and poor anti interference ability. A fire detection system based on ZigBee wireless multi-sensor network is proposed with sensors including smoke, temperature and carbon monoxide gas sensor to detect combustion situation. The trust functions for smoke, temperature and carbon monoxide caused by fire are assigned according to fire situation, and the D-S evidence theory is utilized to integrate the three kinds of sensor information to determine whether fire happens or not. Multi-sensor combustion response experiments are conducted. Theoretical analysis and experimental results show that the fire detection system based on wireless multi sensor can detect fire more accurately, reduce the false alarm rate and improve the credibility of thesystem.