Research on Big Data Fusion Method of Smart Grid in the Environment of Internet of Things

The mutual penetration and deep integration of the Internet of Things and the power grid make the modern power grid more intelligent. The big data of the smart grid is distributed among different levels of multiple business systems of each unit. There are different data structures, inconsistent patterns, and inconsistent standards. It is difficult for Chinese smart grid to manage multi-source heterogeneous data uniformly, This paper studies how to combine data fusion technology with enterprise management requirements, and converts distributed data in different business systems into a unified, accurate, and decision-oriented format. Accordingly, we can eliminate information barriers, share enterprise data resources, and promote the company’s management level as well. Firstly, data cleaning technology is adopted in this paper to preprocess multi-source heterogeneous data of the smart grid. The aim is to make a unified structure and facilitate the data fusion. Then a multi-source heterogeneous data fusion model is proposed to achieve data fusion in different levels according to the layered strategies of the Internet of Things. The data fusion and Markov logic network are used to focus on the data conflict problem in the process of fusion.