Research on Association Rule Mining and Knowledge Graph Construction for Low-Carbon Scheme Design in Transmission Line Passageways

Due to the complex coupling effect of multiple factors, the selection of transmission line routes is mainly dependent on manual methods. Utilizing artificial intelligence technology to mine the hidden association rules in the regulations of the power system and constructing a Knowledge graph can improve the efficiency of transmission line route selection and reduce the cost of manual operations. Therefore, this paper proposes a method of mining associated rules for the design of transmission line channels using Knowledge graphs, aiming to overcome the limitations of manual handling in transmission line route selection. The efficiency of line selection is enhanced through the rich semantic information provided by the Knowledge graph.