Design and Analysis of Power Grid Marketing Data Atlas

The grid marketing and grid dispatching systems store four grid structures: stations, lines, transformers, and households. However, because the standards and functional focus of each system data are not unified, the data becomes isolated and not unified. As a result, there are errors in the relationship between the grid files themselves and the files in a single system, and there are also errors in the consistency and relationship of the cross-system grid files, which ultimately leads to inaccurate grid topology. Data graph technology is a graph technology developed based on big data graph database technology. It can also use multiple data knowledge extraction technology and voice recognition technology to intuitively and efficiently construct a grid topology model to realize automatic identification of grid topology. In order to realize the standardized management of the grid structure, it provides powerful conditions. Based on the investigation of a large number of graph databases, this article integrates factors such as distribution, query language, consistency, availability, fault tolerance, scalability, storage backend, etc., and fully combines some of the characteristics of the graph data itself. Starting from the data map technology, the automatic identification model of the power grid marketing data map is built, and the power grid marketing data map is applied to the real marketing data of a power supply company. It can also realize the difference analysis of the cross-system grid structure and find the data. And accurately locate the cause of the data problem, which improves the efficiency of data management for abnormal network topology.