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IoT的数据管理与智能处理 被引量:8

Data Management and Intelligent Processing in IoT
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摘要 在物联网(IoT)中物与物、人与物的智能交互的实现要依赖于数据的智能处理,而数据管理则是数据智能处理的基础。由于物联网中的数据具有异构、海量和不确定等特点,因此要实现对其数据管理与智能处理,必须在运用已有技术的基础上进一步采用新的技术和方法。文章基于物联网中数据的特点、物联网新的数据管理与智能处理技术,提出了数据空间技术、不确定数据推理技术以及云计算在物联网中的应用思路,揭示了需要研究的关键内容。 Thing-thing and human-thing interaction in IoT should be dependent on intelligent data processing based on data management.Since IoT data is heterogeneous,mass-scale,and somewhat unpredictable,using new methods and technologies in conjunction with existing technologies is necessary for data management and processing.In this paper,the characteristics of IoT are analyzed,and several new data management and intelligent processing technologies are introduced.Dataspace technology,uncertain data reasoning technology,and cloud computing technology in IoT are proposed and areas of further research are outlined.
作者 李玲娟
出处 《中兴通讯技术》 2011年第1期38-41,共4页 ZTE Technology Journal
基金 国家重点基础研究发展"(973")规划(2011CB302903)
关键词 物联网 数据管理 智能处理 数据空间 云计算 Internet of things data management intelligent processing data space cloud computing
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