Analysis and Exploration of Power Grid Real-Time Data Communication Technology under Computer Intelligence

To solve the problem that the real time data of power grid with exponential growth is difficult to deal with, a big data real-time flow processing framework for smart grid is presented combined with big data processing technology. The frame uses a flow computing system to deal with massive data. In view of the state monitoring data flow in the smart grid, a sliding window processing method based on Storm for state monitoring data flow is given. The state monitoring data flow is processed in batch within the stipulated time to ensure the continuous calculation of the data. The research shows that the real-time flow processing framework proposed improves the real-time processing of the large-scale monitoring data flow. It can meet the requirements of the rapid analysis for the power grid data flow by the service applications such as abnormal state monitoring and abnormal power analysis.