科研信息化技术与应用
科研信息化技術與應用
과연신식화기술여응용
E-science Technology & Application
2014年
2期
14-26
,共13页
张耀南%火久元%朱文平%罗立辉%冯克庭
張耀南%火久元%硃文平%囉立輝%馮剋庭
장요남%화구원%주문평%라립휘%풍극정
地学 e-Science%无线传感器网络%环境研究%生态研究
地學 e-Science%無線傳感器網絡%環境研究%生態研究
지학 e-Science%무선전감기망락%배경연구%생태연구
e-Geoscience%wireless sensor networks%environment research%ecology research
环境无线传感器网络可将大量的传感器节点部署在人类难以到达区域,使得开展高时空分辨率的连续、实时和可靠的环境、生态数据采集成为可能,正在成为地学 e-Science研究监测平台的重要组成部分。它的快速发展,改变着地理信息采集、分析和集成的方式,推动着地学研究的革命性变革。本文通过探讨环境和生态中的典型应用案例,总结了环境和生态中目前无线传感器网络的研究进展,给出了用于地学研究的无线传感器网络的结构、组成和功能,归纳了影响地学研究大面积部署无线传感器网络存在的理论和工程问题,分析了未来地学无线传感器网络面临的主要挑战,展望了基于语义、建立标准规范、实现多元数据集成融合以及实现海量传感数据互操作和共享的发展趋势。
環境無線傳感器網絡可將大量的傳感器節點部署在人類難以到達區域,使得開展高時空分辨率的連續、實時和可靠的環境、生態數據採集成為可能,正在成為地學 e-Science研究鑑測平檯的重要組成部分。它的快速髮展,改變著地理信息採集、分析和集成的方式,推動著地學研究的革命性變革。本文通過探討環境和生態中的典型應用案例,總結瞭環境和生態中目前無線傳感器網絡的研究進展,給齣瞭用于地學研究的無線傳感器網絡的結構、組成和功能,歸納瞭影響地學研究大麵積部署無線傳感器網絡存在的理論和工程問題,分析瞭未來地學無線傳感器網絡麵臨的主要挑戰,展望瞭基于語義、建立標準規範、實現多元數據集成融閤以及實現海量傳感數據互操作和共享的髮展趨勢。
배경무선전감기망락가장대량적전감기절점부서재인류난이도체구역,사득개전고시공분변솔적련속、실시화가고적배경、생태수거채집성위가능,정재성위지학 e-Science연구감측평태적중요조성부분。타적쾌속발전,개변착지리신식채집、분석화집성적방식,추동착지학연구적혁명성변혁。본문통과탐토배경화생태중적전형응용안례,총결료배경화생태중목전무선전감기망락적연구진전,급출료용우지학연구적무선전감기망락적결구、조성화공능,귀납료영향지학연구대면적부서무선전감기망락존재적이론화공정문제,분석료미래지학무선전감기망락면림적주요도전,전망료기우어의、건립표준규범、실현다원수거집성융합이급실현해량전감수거호조작화공향적발전추세。
Environmental WSN(Wireless Sensor Networks) enables the deployment of a large number of sensor nodes in the area where human is hard to reach, and enables continuous, real-time and reliable collection of the environmental and ecological data with high spatial and temporal resolution. It has become an important part of e-Science research monitoring platform for Geoscience. The rapid development of Environmental WSN technology is changing the mode of geographic information collection, analysis and integration, and promoting revolutionary changes of Geoscience research. In this paper, through typical application cases of environment and ecology, we summed up the research progress of WSN in environment and ecology, presented the structure, composition and functions of WSN in Geoscience, summarized the theoretical and engineering issues that impact the large-scale deployment of WSN in Geoscience, analyzed major challenges that WSN may face in the future, discussed the development trends based on semantics, standard speciifcation, achievement of data integration and fusion of multivariate data, and interoperability and sharing of massive data.