【摘要】 "黑河流域生态水文传感器网络"试验是无线传感器网络技术在近地表观测领域的一次成功应用,通过分析该试验所采集的观测数据的特点,首次给出WSN数据的质量元素的规范内容,并设计出每种质量元素的判定算法,用于解决WSN数据的质量控制问题。之后提供了两个评价实例,其结果表明将这些质量元素判定算法应用到黑河观测数据自动综汇系统中,能够高效、合理地完成"黑河流域生态水文传感器网络"野外观测数据的质量控制工作。更多还原

【Abstract】 Eco-hydrological Wireless Sensor Network in the Heihe River Basin can be considered as a successful application of wireless sensor network technology in the field of near-surface observation.This paper introduces a quality control approach for a wide variety and long-time massive data,especially for Heihe WSN observation data.Owing to the potential sources of systematic errors of wireless sensor network,there are some quality problems of the WSN data.Therefore,an adequate data quality control technique is of great importance.Firstly,the spatial and physical characteristics of WSN data were analyzed,and the definitions and implementation algorithms of WSN data quality elements were put forward as well.The algorithms involved timeliness and consistency assessment,data fragmentation processing,outlier detection,data redundancy processing,etc.Furthermore,there were two quality assessment cases were provided,and each one consisted of appropriate amounts of quality elements algorithms.The cases demonstrated that the proposed approach has the advantage of high efficiency and reasonable result,and played a vital role in the assignment of quality control for Heihe WSN observation Data.更多还原