摘要
根据温室无线传感器网络(WSN)所采集数据在时间和空间上具有很强的相关性,从温室无线传感器网络基本结构出发,在分析WSN原始数据的基础上,通过对时空序列样本信息的预处理,分别建立了时间和空间故障诊断数学模型,据此分析传感节点的工作状态,给出了温室WSN故障诊断的综合算法。研究结果表明,该故障诊断方法能够及时、有效地发现温室WSN的异常并诊断出故障节点,提高了WSN工作的可靠性。
Because of the strong time dependence and spatial correlation of the data collected by the greenhouse wireless sensor networks （WSN）, according to the basic structure of the greenhouse WSN, the mathematic model of fault diagnosis based on the time series and space series analysis was set up respectively through preprocess sample information of the time series and space series on the basis of analyzing the raw data of WSN. According to this, the working condition of the sensor node was analyzed and the fault diagnosis algorithm of the greenhouse WSN was given. The research result showed that the method of fault diagnosis could find out the anomaly of greenhouse WSN and judge the fault node, thus enhance the reliability of WSN.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2009年第2期155-158,179,共5页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家"863"高技术研究发展计划资助项目(2006AA10Z258)
关键词
温室
无线传感器网络
时间序列
空间序列
故障诊断
Greenhouse, Wireless sensor networks, Time series, Space series, Fault diagnosis
