张荣标,白斌,李克伟,项美晶.基于时空双序列分析的温室WSN故障诊[J].农业机械学报,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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基于时空双序列分析的温室WSN故障诊   [下载全文]
Diagnosis of the Greenhouse WSN Based on the Time Series and Space Series Analysis   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  温室  无线传感器网络  时间序列  空间序列  故障诊断
基金项目:
张荣标  白斌  李克伟  项美晶
江苏大学
中文摘要: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。
Key Words:
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. 

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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