Human-Machine Collaboration and Intelligent Strategy of Flexible Anti-Falling for Power Transmission Tower Assisted by Unmanned Aerial Vehicle Suspension
This paper explores a series of innovative technologies and strategies to address safety risks and inefficiencies in the maintenance and inspection of transmission towers. Firstly, the drone-assisted suspension technology and flexible anti-falling technology for transmission towers are introduced, and their potential and advantages in improving operational efficiency and safety are analyzed. Subsequently, the application of human-machine collaboration strategies and intelligent strategies in the maintenance and inspection of transmission towers is discussed, emphasizing that optimizing the collaboration between human operators and drones, as well as utilizing artificial intelligence and machine learning technologies to achieve intelligent management and optimization, can enhance operational efficiency and safety. Finally, the future research and development directions are prospected, emphasizing the importance of strengthening technological innovation and experimental verification to promote further development and improvement in the field of transmission tower maintenance and inspection. The research results of this paper have important theoretical and practical significance for promoting the development of the transmission industry and enhancing maintenance efficiency.
Authors
- Xiaofang Liu (ORCID: https://orcid.org/0009-0009-4087-9068)
- Bin Chai (ORCID: https://orcid.org/0000-0001-5886-6390)
- Ning Li (ORCID: https://orcid.org/0000-0003-1025-9641)
- Yuwei Duan (ORCID: https://orcid.org/0009-0001-0238-2773)
- Mingyang Li (ORCID: https://orcid.org/0009-0006-0078-8389)
- Shu Wang (ORCID: https://orcid.org/0009-0002-4312-0865)
Institutions
- Shanghai Electric (China) (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/itnec60942.2024.10733235
- Primary Topic
- Elevator Systems and Control
- Type
- article
- Field-Weighted Citation Impact
- 0.00