UAV Autonomous Navigation and Safe Trajectory Planning for Transmission Line Voltage Measurement Using Multi-Segment Sub-Conductor Localization
Traditional on-tower inspections and direct voltage testing suffer from low efficiency and high labor intensity. To address this issue, this study proposes an autonomous unmanned aerial vehicle (UAV) heading-positioning algorithm for transmission-line inspection based on multi-segment sub-conductor localization, together with a route-planning method that maintains the minimum safe distance from lines of different voltage levels. The heading-positioning algorithm and the route-planning method were applied to six-bundle 750 kV and eight-bundle 1000 kV transmission lines. The results indicated that, compared with traditional manual tower-climbing operations, the proposed positioning algorithm and the route-planning method increased inspection efficiency by more than 77.8%, improved result repeatability to 95%, and reduced labor intensity by at least 50%. Inspections were completed without tower climbing, substantially enhancing safety.
Authors
- Jing Fu (ORCID: https://orcid.org/0000-0003-3414-3985)
- Zhike Wen
- Huaxi Wu
- Bo Zhang (ORCID: https://orcid.org/0000-0003-3215-8745)
- Zhuang Liu (ORCID: https://orcid.org/0000-0002-8801-5826)
- Xiaoyu Zhou
Institutions
- China Electric Power Research Institute (CN)
- State Grid Zhejiang Electric Power Company (China) (CN)
Publication Details
- Journal
- Drones
- Published
- 2026-10-30
- DOI
- https://doi.org/10.3390/drones10110816
- Primary Topic
- Power Line Inspection Robots
- Type
- article
- Field-Weighted Citation Impact
- 0.00