EconPapers    
Economics at your fingertips  
 

Research on the algorithm for calculating tower span and line sag based on visual localization

Yu Zou, Shuolei Ji, Linsui Li, Henglong Chen and Longfei Zhang

International Journal of Low-Carbon Technologies, 2025, vol. 20, 781-790

Abstract: Distribution networks are crucial for power systems, and accurate measurement of tower span and conductor sag is vital for safe operation. This paper proposes an automated method using drone imaging to measure these parameters. A low-altitude photogrammetry platform with YOLOv8 detects towers and conductors, while the ORB-SLAM2 framework enables real-time drone positioning and sparse reconstruction. A dense matching model generates high-fidelity 3D point clouds. Customized span and sag calculation models consider line asymmetry and wind deviation. The effectiveness of the method is validated through experiments, enhancing measurement efficiency and accuracy.

Keywords: distribution networks; tower span; conductor sag; YOLOv8; 3D reconstruction (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1093/ijlct/ctaf037 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:ijlctc:v:20:y:2025:i::p:781-790.

Access Statistics for this article

International Journal of Low-Carbon Technologies is currently edited by Saffa B. Riffat

More articles in International Journal of Low-Carbon Technologies from Oxford University Press
Bibliographic data for series maintained by Oxford University Press ().

 
Page updated 2025-12-21
Handle: RePEc:oup:ijlctc:v:20:y:2025:i::p:781-790.