基于WSNs的分布式温度异常监测报警系统

Distributed temperature anomaly monitoring alarm system based on WSNs

针对机房内设备长期处于高负荷工作状态而产生的热量易引发设备故障和事故的问题,设计了一种基于无线传感器网络(WSNs)的分布式事件触发的温度异常监测报警系统。采用分布式的温度异常监测方法:收集设备多种温度异常情况下样本数据;提取样本温度曲线的波形特征;利用贝叶斯分类器判断异常种类,若温度异常,立即向管理员报警。实验结果表明:系统具有较高的准确性和实时性。

Aiming at problem that heat generated by equipment in longterm high-load working condition in machine room is liable to cause failure and accident,a distributed event-triggered temperature anomaly monitoring and alarm system based on wireless sensor networks（ WSNs） is designed. In the system,use a distributed temperature anomaly monitoring methods,collect sample data of equipment under various temperature anomalies,and extract waveform characteristics of sample temperature curve,and use Bayesian classifer to determine abnormal species,if temperature is abnormal,it alarms. Experimental results show that the system has high accuracy and real-time performance.