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基于時(shí)空雙序列分析的溫室WSN故障診
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Diagnosis of the Greenhouse WSN Based on the Time Series and Space Series Analysis
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    摘要:

    根據(jù)溫室無(wú)線傳感器網(wǎng)絡(luò)（WSN）所采集數(shù)據(jù)在時(shí)間和空間上具有很強(qiáng)的相關(guān)性，從溫室無(wú)線傳感器網(wǎng)絡(luò)基本結(jié)構(gòu)出發(fā),，在分析WSN原始數(shù)據(jù)的基礎(chǔ)上,，通過(guò)對(duì)時(shí)空序列樣本信息的預(yù)處理,，分別建立了時(shí)間和空間故障診斷數(shù)學(xué)模型,，據(jù)此分析傳感節(jié)點(diǎn)的工作狀態(tài),，給出了溫室WSN故障診斷的綜合算法,。研究結(jié)果表明,，該故障診斷方法能夠及時(shí),、有效地發(fā)現(xiàn)溫室WSN的異常并診斷出故障節(jié)點(diǎn),，提高了WSN工作的可靠性。

    Abstract:

    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. 

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張榮標(biāo),白斌,李克偉,項(xiàng)美晶.基于時(shí)空雙序列分析的溫室WSN故障診[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(2):155-158. Diagnosis of the Greenhouse WSN Based on the Time Series and Space Series Analysis[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(2):155-158.

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