Design and Development of Power Failure and Restoration Scene State Analysis System Based on AR

In the process of state analysis of power failure and restoration scenario, by integrating interdisciplinary research contents such as sensor technology, information and network technology, on the premise of ensuring the safe and stable operation of power grid, the purpose of saving energy and improving resource utilization efficiency is achieved. Focusing on the concepts of business data association fusion and data-driven modeling, this paper designs and develops an AR (Augmented Reality)-based power failure and restoration scenario state analysis system. The system combines traditional relational database and in-memory database, and utilizes the column database HBase and distributed file system HDFS in the big data Hadoop ecosystem to efficiently store unstructured data of supervision business. After receiving the target features sent by the augmented reality engine, the virtual object control module parses the identified information and presents the virtual object on the user screen according to the parsed data request. The test results of the system show that the proposed method can realize the panoramic visual analysis of the power failure and restoration scene state, and master the load state of each distribution node and branch during the operation of the power grid, which provides an effective reference for the optimal operation of the power grid.