Data switching method among heterogeneous power information system databases based on knowledge graph

Abstract

In order to solve the problems of long data switching time, low information utilization rate, and low switching accuracy in traditional data switching methods, a data switching method between heterogeneous power information system databases based on knowledge graphs is proposed. Based on the knowledge graph technology and its ternary structure, the data of the heterogeneous power information system is processed, and the N‐Gram model is used to realize the knowledge extraction, and the data error correction is established through the model. Through ODBC technology to complete the link between heterogeneous power information system databases, and then select the data access interface and determine the data extraction task, and finally realize the data exchange between the heterogeneous power information system databases. Experimental results show that the average communication channel bandwidth during the data switching process is 1.8 Gb/s, the highest value of data switching accuracy reaches 82%, and the information utilization rate after data switching is relatively high, indicating that the method has certain effectiveness.

Knowledge Graph for Low Carbon Power and Energy Systems

“…The ability to handle heterogeneous data is crucial in the construction of the knowledge graph in the power system. Fu et al [12] proposed a data-switching method, using the N-Gram model, to address the problems of long switching time, unsatisfactory accuracy, and low information utilization. Tang et al [13] developed a power engineering-oriented intelligent question-answering (IQA) system, which can provide intuitive visualization for users to make different kinds of power engineering data understandable, using Natural Language Processing (NLP) and ontology model-based reasoning algorithms.…”