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Erschienen in: Intelligent Service Robotics 2/2024

02.12.2023 | Original Research Paper

Drone-robot to install aerial marker balls for power lines

verfasst von: Rogério S. Gonçalves, Talles M. de Carvalho, Pablo B. dos Santos, Frederico C. Souza, Carlos Alberto Gallo, Daniel E. T. Sudbrack, Paulo Victor Trautmann, Bruno C. Clasen, Rafael Z. Homma

Erschienen in: Intelligent Service Robotics | Ausgabe 2/2024

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Abstract

To enhance the safety of our airspace, it is essential to implement devices along overhead power lines that effectively reduce the likelihood of collisions involving aircraft, helicopters, balloons, and other airborne objects. Aerial marker balls, which adhere to technical standards concerning their geometry and characteristics, are commonly used for aerial signaling on power transmission systems. Currently, aerial marker balls are installed by technicians either via helicopter or by utilizing ropes to perform the task manually. This process results in significant expenses and exposes the technicians to considerable risk. While robotic methods have been explored, they often present impractical challenges. Despite the advancements in various techniques, difficulties persist in this field. The primary objective of this paper is to design and develop a robotic module that can be attached to a drone, enabling the semi-automated installation of aerial marker balls. The robot model was designed using Computer Aided Design and Computer Aided Engineering software’s, with a subsequent description of the control system. After constructing the drone-robot, it was tested in a simulated environment, proving to be both efficient and cost-effective. This innovative approach improves not only the cost-effectiveness of aerial marker ball installation but also the safety of technicians involved in the process.

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Metadaten
Titel
Drone-robot to install aerial marker balls for power lines
verfasst von
Rogério S. Gonçalves
Talles M. de Carvalho
Pablo B. dos Santos
Frederico C. Souza
Carlos Alberto Gallo
Daniel E. T. Sudbrack
Paulo Victor Trautmann
Bruno C. Clasen
Rafael Z. Homma
Publikationsdatum
02.12.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Intelligent Service Robotics / Ausgabe 2/2024
Print ISSN: 1861-2776
Elektronische ISSN: 1861-2784
DOI
https://doi.org/10.1007/s11370-023-00493-3

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