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遥感技术与应用  2013, Vol. 28 Issue (2): 252-257    DOI: 10.11873/j.issn.1004-0323.2013.2.252
图像与数据处理     
面向黑河无线传感网络观测数据的质量控制方法研究
刘丰1,2,郭建文1
(1.中国科学院寒区旱区环境与工程研究所,甘肃 兰州 730000;
2.中国科学院大学,北京 100049)
Study on Quality Control Approach for Heihe Wireless Sensor Network Observation Data
Liu Feng1,2,Guo Jianwen1
(1.Cold and Arid Regions Environmental and Engineering Research Institute,
Chinese Academy of Sciences,Lanzhou 730000,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China)
 全文: PDF(1057 KB)  
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。

关键词: 黑河WSN自动观测质量评价质量元素    
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.

Key words: Heihe river    WSN    Automatic observation    Quality assessment    Quality element
收稿日期: 2012-05-11 出版日期: 2013-06-24
:  P 208.2  
基金资助:

国家自然科学基金重点项目(91025001);“基于下一代互联网的科研信息基础设施建设和应用示范工程”课题“黑河流域生态水文遥感—地面观测试验与综合模拟应用示范”(Y002025412)资助。

通讯作者: 郭建文(1970-),男,甘肃酒泉人,博士,副研究员,主要从事GIS应用研究。Email:guojw@lzb.ac.cn。    
作者简介: 刘丰(1983-),男,甘肃陇南人,硕士研究生,主要从事GIS应用研究。Email:liufeng@lzb.ac.cn。
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引用本文:

刘丰,郭建文. 面向黑河无线传感网络观测数据的质量控制方法研究[J]. 遥感技术与应用, 2013, 28(2): 252-257.

Liu Feng,Guo Jianwen. Study on Quality Control Approach for Heihe Wireless Sensor Network Observation Data. Remote Sensing Technology and Application, 2013, 28(2): 252-257.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2013.2.252        http://www.rsta.ac.cn/CN/Y2013/V28/I2/252

[1]Gong Peng.Progress in Recent Environmental Applications of Wireless Sensor Networks[J].Journal of Remote Sensing,2010,14(2):387-395.[宫鹏.无线传感器网络技术环境应用进展[J].遥感学报,2010,14(2):387-395.]

[2]Jin Rui,Li Xin,Yan Baoping,et al.Introduction of Eco-hydrological Wireless Sensor Network in the Heihe River Basin[J].Advances in Earth Science,2012,27(9):993-1005.[晋锐,李新,阎保平,等.黑河流域生态水文传感器网络设计[J].地球科学进展,2012,27(9):993-1005.]

[3]Famili A,Shen W M,Weber R,et al.Data Preprocessing and Intelligent Data Analysis[J].International Journal on Intelligent Data Analysis,1997,1(1):1-28.

[4]Fei Yetai.Error Theory and Data Processing[M].Beijing:China Machine Press,2000.[费业泰.误差理论与数据处理[M].北京:机械工业出版社,2000.]

[5]Zhu Wenping,Zhang Yaonan,Luo Lihui.Study and Application of the Wireless Sensor Network to Eco-hydrology[J].Journal of Glaciology and Geocryology,2011,33(3):573-581.[朱文平,张耀南,罗立辉.生态—水文中无线传感器网络应用研究[J].冰川冻土,2011,33(3):573-581.]

[6]Zeng Yanwei,Gong Jianya.Implementing Technique of Spatial Data Quality Control and Evaluation[J].Geomatics and Information Science of Wuhan University,2004,29(8):686-690.[曾衍伟,龚健雅.空间数据质量控制与评价方法及实现技术[J].武汉大学学报:信息科学版,2004,29(8):686-690.]

[7]Du Daosheng,Wang Zhanhong,Ma Congli.Study on Spatial Data Quality Model[J].Journal of Image and Graphics,2000,5(7):559-562.[杜道生,王占宏,马聪丽.空间数据质量模型研究[J].中国图象图形学报,2000,5(7):559-562.]

[8]Braya F,Parkin D M.Evaluation of Data Quality in the Cancer Registry:Principles and Methods.Part I:Comparability,Validity and Timeliness[J].European Journal of Cancer,2009,45:747-755.

[9]Braya F,Parkin D M.Evaluation of Data Quality in the Cancer Registry:Principles and Methods.Part II.Completeness[J].European Journal of Cancer,2009,45:756-764.

[10]Liu Chun,Shi Wenzhong,Liu Dajie.Statistical Model of Rate of Disfigurement for Attribute Data Accuracy Assessment in GIS[J].Acta Geodaetica et Cartographica Sinica,2003,32(1):36-41.[刘春,史文中,刘大杰.GIS属性数据精度的缺陷率度量统计模型[J].测绘学报,2003,32(1):36-41.]

[11]Jin Juliang,Wei Yiming,Ding Jing.Fuzzy Comprehensive Evaluation Model based on Improved Analytic Hierarchy Process[J].Journal of Hydraulic Engineering,2004,3:65-70.[金菊良,魏一鸣,丁晶.基于改进层次分析法的模糊综合评价模型[J].水利学报,2004,3:65-70.]

[12]Li Qingxu,Liu Guangxiu,Shao Linhui.Application of the Hierarchy Analysis to Assessment of Ecological-Environmental Impact of Speedway[J].Journal of Glaciology and Geocryology,2007,29(4):653-658.[李庆旭,刘光琇,邵麟惠.层析分析法在高速公路生态环境影响评价中的应用[J].冰川冻土,2007,29(4):653-658.]

[13]Shi W Z.Principles of Modeling Uncertainties in Spatial Data and Spatial Analysis[M].Boca Raton,FL:Taylor & Francis,2010:81-155.

[14]Zhang Y,Meratnia N,Havinga P.Outlier Detection Techniques for Wireless Sensor Networks:A Survey[J].IEEE Communications Surveys & Tutorials Second Quarter,2010,12(2):159-170.

[15]Zhang Chao,Yang Zhiyi,Ma Junyan.Application of Amplitude-limiting Filtering Algorithm for WSN Data Preprocessing[J].Science Technology and Engineering,2011,11(6):1207-1217.[张超,杨志义,马峻岩.限幅滤波算法在WSN数据预处理中的应用[J].科学技术与工程,2011,11(6):1207-1217.]

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