A Strategy and Architecture Based on Big Data for Power Internet of Things

Abstract

Although many methods for collecting electricity data from smart terminals are available, especially for power Internet of things, alternatives have to face to the lack of effective management and analysis methods and hard technical realities for such large data. In order to solve these problems, this paper firstly, summarized the development of power Internet of things and big data, then analyzed the motivation and goals of building power Internet of things using big data technology according to the ubiquitous smart terminals applied in power areas, and illustrated the supporting technologies of big data when effectively serving the power Internet of things. Facing the challenges caused by big data in power of Internet of things, this paper proposed a strategy to handle big data that focused on cloud computing, data mining, and machine learning. In addition, we presented a basic architecture for cloud computing platforms and proposed the establishment of an operating center for power Internet of things. Possible solutions to collect data, data modeling, and data analysis and decision were proposed. We also proposed a typical forecasting system based on big data platform. For power Internet of things, taking advantage of big data and cloud computing technologies would be an effective strategy for improving decision support and analytics applied in power Internet of things. In the near future, this would be a great challenge and opportunity in power Internet of things.