项目名称: 基于云架构的物联网传感器数据管理技术研究
项目编号: No.61273080
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 自动化技术、计算机技术
项目作者: 王永炎
作者单位: 中国科学院软件研究所
项目金额: 82万元
中文摘要: 传感器和RFID是感知物理世界的两种重要方式,物联网环境中传感器和RFID标签数量十分巨大,不断产生海量的传感器数据和RFID标签位置信息,存储和管理这些数据是物联网面临的一个挑战。为了快速响应物理世界的变化,物联网对大部分数据具有实时性要求,这进一步增大了数据管理难度。目前为止尚没有面向海量传感器/RFID标签的实时数据管理平台。为此,本项目将在项目组已有的实时数据库和RFID技术研究基础上,结合云计算中海量数据管理技术,研究物联网中实时数据管理平台的系统架构、数据模型,以及基于云架构的传感器/RFID标签检索、海量实时/历史数据存储管理等关键技术问题,研发实时数据管理平台原型系统,验证提出的系统架构、数据模型以及技术解决方案的可行性与合理性。
中文关键词: 物联网;云;实时;数据管理;传感器
英文摘要: Sensor and RFID technologies are two important ways to sense the physical world. There are mass number of sensors and RFID tags in the environment of the Internet of Things, and they produce vast amount of sensor data and RFID tag location information continuously, and it's challenging for the Internet of Things to store and manage these data. In order to respond to the changes in the physical world quickly, the Internet of Things has real-time requirements for most of its data, which further increases the difficulty of data management. So far there is no real-time data management platform for mass sensors and RFID tags. This project will take our existing work in real-time database and RFID technology as a basis, combine with massive data management technology in cloud computing, and study system architecture and data model for the real-time data management platform in the Internet of Things, as well as the key technologies including cloud-based sensor/RFID tag indexing, massive real-time/history data storage and management, etc., and then develop a prototype system of real-time data management platform to verify the feasibility and rationality of the proposed system architecture, data model and technology solutions.
英文关键词: Internet of Things;Cloud;Real-time;Data management;Sensor