Research on Multi-source Information Fusion Scheme for Power Internet of Things

Abstract

With cloud computing, big data, and Internet of Things technologies are increasingly applied in “source-net-load storage”, the number of accesses to various general-purpose and special-purpose intelligent terminals at the perception layer has increased dramatically. In order to improve the efficiency of data processing and provide more reliable data decision-making services, this paper discusses the multi-source heterogeneous data integration and fusion technology of power Internet of things. First of all, the functional architecture of power Internet of things is studied from the perception layer, network layer, platform layer and application layer. Secondly, the challenges and types of data fusion of power Internet of things are described in detail. Furthermore, the requirements of heterogeneous data acquisition and integration in the whole scene of power Internet of things are comprehensively analyzed. Finally, a multi-source heterogeneous data fusion technology framework for power Internet of things is proposed, which provides a reference for the construction of power intelligent Internet of things system.