Research on Data Quality Detection Technology Based on Ubiquitous State Grid Internet of Things Platform

At present, the ubiquitous power Internet of Things platform has various problems, such as diversified technical components, difficult application, difficult data search, high data application threshold, and imperfect data management control mechanism. To support the ubiquitous power IoT data sharing and the value of grid data, this paper designs the overall framework and functional architecture of the data in the ubiquitous power IoT platform. And proposes the real-time data quality anomaly detection and improved algorithm based on isolated forest. Finally, the feasibility of the ubiquitous power IoT platform data quality detection algorithm is verified by two scenarios simulations of repair failure and power failure.