项目名称: 物联网信息系统的服务框架与数据管理问题研究
项目编号: No.71271148
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 管理科学
项目作者: 南国芳
作者单位: 天津大学
项目金额: 56万元
中文摘要: 物联网系统作为一类特殊的大型复杂管理信息系统,利用无线感知技术和智能传感器装置对物理世界进行感知和识别,并对采集的数据和信息通过网络传输,最终实现对物理世界的虚拟和现实物体的无缝集成。由于物理世界中的物体形式多样且数量庞大,加之其处于不断运动变化中,物联网感知数据具有异构性、海量性、冗余性和不确定性等特点。传统的数据管理理论和方法不能满足物联网数据管理的要求。因此,研究适合物联网信息系统的数据模型和处理方法成为目前物联网应用领域中亟待解决的问题。本研究主要针对物联网信息系统的服务框架和相关的数据管理和处理问题进行研究,包括物联网信息系统的框架体系及该体系结构下的服务发现机制、物联网信息系统中海量数据的存储问题、数据查询问题、数据融合问题、数据智能处理问题等。其主要研究目标是利用信息管理、数据库、人工智能、计算机等专业知识对物联网信息系统中的数据服务问题进行科学管理。
中文关键词: 物联网;数据管理;查询处理;传感器网络;环境智能感知
英文摘要: IoT(Internet of things) systems, as a type of speciaal large complex management information system, sense and recognize physical world using wireless sensing technologies and smart sensor device, collect data and transfer information via network. Therefore, physical objects and virtual things are seamlessly integrated ultimately. Due to the facts that there are a large amount of objects which vary greatly in forms and they are mostly in constant changing status, IoT data are characterized as heterogeneous, massive, uncertain and so on. Traditional data management theory and method can not meet the requirements of data management for IoT information system applications. Therefore, the importance of modeling and processing IoT data has become significantly accentuated in the context of information system. This research mainly concentrates on service framework and the corresponding data management and processing tecnologies of IoT information system, including the proper service framework and the corresponding service recovery mechanism under the proposed service framework in IoT information system, massive data storage method for IoT information system, data query problem in IoT system, data aggregation approach and data intelligent processing algorithm for IoT system. The main purpose of this study is scientific
英文关键词: Internet of things;Data management;Query processing;Sensor networks;Ambient intelligence