基于无线传感网和数据融合技术的火灾报警系统设计

摘要

针对传统火灾报警系统存在的问题,设计了一种基于无线传感网和数据融合技术的火灾报警系统.采用3种传感器组成无线传感网进行火灾数据的监测采集并通过协调器发送给上位机,在上位机程序中采用基于粒子群优化的神经网络算法对传感器数据进行数据融合计算,并且加入图像传感器进行辅助判断,得到火灾监测的综合结果.仿真实验表明传感器数据经过神经网络融合的结果具有较高的准确度.%Aiming at some existing problems in fire alarm systems, a fire alarm system based on wireless sensor networks and sensor fusion technology was designed. The wireless sensor network contains three sensor points for fire detection and transparent data to coordinator through radio frequency signal. Then the coordinator sent the data to host computer software, which compute re-sults with neural network algorithm that was based on particle swarm optimization. As added image recognition for assistant ,the system can obtain synthesis results. The simulation experiment implicates that the results from neural network algorithm achieve high accuracy.