Research on Construction Technology of Multi Heterogeneous Data Resource Graph of Power Grid Corporation

Abstract

Abstract The development of new-generation artificial intelligence technologies such as deep learning, knowledge graphing, and enhanced learning is driving the “Internet + Smart Energy” into a new era of “Internet of Energy.” The data structure, type, and format of the data between the main body of the energy and power system, various departments of the enterprise, and various types of users are all constructed at different times using different standards. The data is huge and complex. Establishing a company-level data center for power grid companies to resolve the standardized management and fast and reliable exchange of heterogeneous data under massive data is an opportunity and a challenge for the company to build an energy Internet. As the core foundation of integrating heterogeneous data resources of power grid, data resource graph can provide effective support for the management of heterogeneous data of power grid enterprises under the energy Internet. From the multi-dimensional perspective of data modeling, resource management, data navigation, learning cognition, database, this paper focuses on the diversified and heterogeneous data resources of power grid companies, and explores from the specific technical aspects of data ontology modeling, data naming and identification, data relationship mining, data fusion and exchange technology, aiming to provide technical support and reference for power grid companies to build data resource graph.