Research on Intelligent and Autonomous Route Selection Platform for Transmission Line Corridors based on RRT Numerical Algorithm
With the development of China’s economy and society, the layout of power grid construction is constantly improving. In the construction of transmission line frameworks, facing complex transmission line layout conditions and influencing factors, how to select the optimal route design has become an urgent problem to be solved. This paper constructs an intelligent digital framework for transmission lines, compares various data acquisition methods for intelligent route selection, and classifies and summarizes the data through a digital information spatio-temporal knowledge graph. After analyzing various intelligent route selection algorithms, the RRT digital algorithm and its derivative algorithms, which are suitable for power grid engineering, are adopted. Through the formulation of algorithm structured data principles and the construction of algorithm flow principles, an intelligent and autonomous route selection platform for transmission line corridors is ultimately realized. Finally, the development direction of intelligent route selection technology is introduced. The intelligent development of power grid route selection has become an inevitable trend.
Authors
- Jiong Liu (ORCID: https://orcid.org/0009-0000-6212-9895)
- Youfu Zhou
- Quan Hu (ORCID: https://orcid.org/0000-0003-2624-6546)
- Linfeng Zhang (ORCID: https://orcid.org/0000-0002-7740-7971)
- Bin Liu (ORCID: https://orcid.org/0009-0004-2135-8690)
- Changqing Zhu (ORCID: https://orcid.org/0000-0003-1778-6073)
- Yunxiao Dai (ORCID: https://orcid.org/0009-0008-8861-7932)
- Ming Liang (ORCID: https://orcid.org/0000-0001-8265-6561)
Institutions
- State Grid Corporation of China (China) (CN)
- Economic Research Institute (BG)
- China Power Engineering Consulting Group (China) (CN)
Publication Details
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1109/iccepe66357.2025.11193309
- Primary Topic
- E-commerce and Technology Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00