Research on Data Intelligent Retrieval Method Oriented to Unified Business Center of Power System

Abstract

According to the current trends in the construction of mid-stations in power system business, and for the problem of insufficient retrieval of data applications, an intelligent retrieval method for grid data based on mid-stations is proposed to achieve the goal of rapid retrieval in huge power system cluster data. This method establishes a complete functional architecture, and it can meet the data retrieval requirements of various departments of the power grid. On the other hand, the method has universal applicability to business centers and plays an important role in the connection of various professional data in the power grid. and can well solve the data fusion problem between the stock system and the incremental system. It has a good reference significance and promotion value for the current power grid digitization. Starting from the design architecture, this paper puts forward a method to realize accurate data retrieval based on the current development status of large-scale power systems, and it also analyzes the rationality and feasibility from two dimensions of business needs and information system construction. At the same time, the article also makes a statistical analysis of the specific realization process of some business functions and the optimization effect based on this method.