The Application Research Of Real-time Database For Internet Of Things

Currently in development and construction of Internet of things, the Smart Grid about mass-data storage, gather, query techniques, and the upper application also remains to be further studied. Whether the technology of Internet of things is going to be applied in large scale remains to be un-known. The key refers to how the mass-data are sampled,storaged, compressed, archived and analyzed.Database is the core industry of information infrastructure software. Information technology and industrialization in the process of integration plays an important role. As a central support, real-time database software is widely used in electric power, petrochemical, metallurgy, transportation, water industry, aviation, defense, environmental protection and other important industries. However, real-time databases on the market are mainly from foreign products nowadays. Local products started late. The real-time database can not form a universalproducts, which oriented to certain industry. The mainstream of real-time database products abroad include OSI Software's PI, Instep's eDNA, Honeywell's PHD and AspenTech's Infoplus. We find that the products are in short of processing capability and data compression algorithms through the practical applications.In order to meet the need of mass-data processing in Smart Grid, this thesis proposes a specific scheme in designing the real-time database system, and describes the system architecture, compression algorithm, detailed client application, optimization strategy and its implementation technology, which improves the universality of the system in Internet of things. The research work is proved to be practical and efficient by the effective experiments.