The Study of Data Processing System for the FBG Temperature Sensor Network Based on the Hadoop Platform

A large-scale network of fiber Bragg grating (FBG) temperature sensors can detect ambient temperature field information. But mass data acquisition and real-time analysis of temperature data are very difficult, where can paralyze some sensor network nodes. So the processing of the big data has brought challenge to data processing system, the emergence of the cloud computing brings back to life for the storage and processing of big data. In this paper, a data processing system is built with the Hadoop, the HBase and the JSP, which is an open source framework used widely. The design of the data processing system provides a basic platform to the big data for FBG temperature sensor network, and it has a good application prospect.