The innovative approach uses multimodal information from 3D LiDAR, GPS, IMU, and thermal camera to reconstruct transmission line geometric profile
SEOUL, South Korea, Nov. 26, 2025 /PRNewswire/ — Power transmission lines (TLs) are ubiquitous, spanning diverse landscapes, including forests, agricultural regions, as well as mountains. Therefore, it is crucial to develop novel technologies to monitor their condition in terms of environmental infringement as well as sag estimation.
In a breakthrough, a team of researchers, led by Prof. Ki-Yong Oh, Associate Professor of Mechanical Engineering at Hanyang University, and Munsu Jeon, a PhD candidate in Mechanical Convergence Engineering at Hanyang University, has presented the first unmanned aerial vehicle (UAV)-based approach that can assess both sag of TLs and environmental infringement simultaneously across the entire span. Their findings were made available online on 1 September 2025 and have been published in the journal Computer-Aided Civil and Infrastructure Engineering on 20 October 2025.
The proposed approach uses multimodal information from 3D LiDAR, GPS, and IMU to reconstruct the geometric profile of the TLs and estimate the sag of the span under actual operating conditions. Thermal imaging is then used to measure the temperature of the TLs so that the reconstructed geometry can be interpreted in relation to thermo-mechanical behavior rather than as a static shape. By linking the measured temperature with a sag–tension relationship, the present technique can also predict how the shape of the TL would change under extreme thermal conditions. This predictive capability allows the TL to be evaluated not only in its current state but also in scenarios where thermal loading increases the likelihood of environmental infringement.
Environmental infringement is evaluated by comparing the estimated sag profile with the spatial distribution of surrounding objects. The proposed approach establishes an infringement zone from the estimated sag profile with a required clearance and an uncertainty margin, and quantifies infringement by identifying environmental point cloud data within the infringement zone. Through this process, monitoring indicators such as intrusion depth, point density, and affected length are generated to support automated monitoring and prioritized vegetation management. Consequently, this technology functions not only as a geometric measurement method but also as a predictive monitoring framework that guides maintenance scheduling.
“Our technology can be used in aerial inspection and maintenance planning for overhead transmission corridors in operation. By assessing sag and environmental infringement together across the full span, this approach supports routine monitoring in areas where vegetation growth, uneven terrain, or nearby structures increase the risk of contact with transmission lines. In addition to current operating conditions, the approach can estimate how the line would deform under higher temperatures, enabling infringement to be assessed during heat waves, heavy loading, or abnormal climate events without additional on-site instrumentation,” points out Prof. Oh.
Although the team has developed this technology for transmission lines, it can also be adapted to other infrastructure where deformation and environmental interaction must be monitored together.
“Automated monitoring would help detect emerging risks without waiting for visible damage or dispatching inspectors after conditions deteriorate. Instead of reacting to failures, inspections could evolve into a preventive system that identifies where intervention is needed before disruptions occur, strengthening the resilience of critical infrastructure over time,” concludes Mr. Jeon.
Reference
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Title of original paper: |
Environmental infringement and sag estimation for power transmission lines with unmanned aerial vehicles and multi-modal sensors |
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Journal: |
Computer-Aided Civil and Infrastructure Engineering |
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DOI: |
About Hanyang University
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[email protected]
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