The Research And Implementation Of Heterogeneous Data Integration Technologies In The Inetrnet Of Things

Internet of things (IoT) completes thing-thing and human-thing intelligent interaction for intelligent monitoring purposes through the combination of the sensing devices and Internet. At present, the IoT applications see a rapid development in various fields in China. IoT has been included in the new national strategic industrial plan. As the rapid development of IoT, there are large amounts of data to be processed. But the data in the Internet of Things has the characteristics of multi-source, heterogeneous, uncertainty, which bring inconvenience to data management. In order to meet the data comprehensive utilization purpose of IoT, a data transparent access system is needed to shield the data source access difference. That is the problem this thesis is going to slove.This thesis first studied the characteristics of heterogeneous data, then proposed an IoT Heterogeneous Data Integration System strategy. The system organized unstructured data through XML, used SQL to query structured data and Linq to query unstructured data parallel during query distribution, showed result through WPF data binding. At last, the system is applied to the bridge safety operation remote intelligent monitoring system to prove its feasibility.The contribution of this thesis is that the IoT Heterogeneous Data Integration System is proposed, which can be applied to both structured data and unstructured data. The system has a strong scalability, which can be applied to many kinds of heterogeneous data.