Verification of Drone-Acquired Camouflaged Telecommunication Tower Frontal Area Using <i>In Situ</i> Strain and Environmental Measurements

This study introduces a novel methodology to determine the effective area of artificial tree camouflaged telecommunication towers, focusing on the pine tree type, using drone technology and photogrammetry. Accurate frontal area determination is essential for wind load calculations, critical to the structural design of such towers. Conducted on a telecommunication tower in East London, South Africa, the research applied image thresholding to point clouds generated from drone-captured images. The drone-derived frontal area of 23.484 m 2 , when combined with a force coefficient of 0.5 from previous wind tunnel research, resulted in an effective area of 11.742 m 2 , differing by less than 4% from the in-situ strain-derived effective area of 12.10 m 2 utilized as verification. The study addresses the lack of guidelines for designing camouflaged towers and highlights the advantages of drone technology over traditional methods. The results suggest a 47% reduction in the original design's effective area, leading to a 20% reduction in bending moments at the telecommunication tower base. This can result in cost savings by reducing the required structural capacity in future designs or increasing antenna space, which is crucial for 5G deployment. The research offers a practical solution to optimize existing telecommunication towers' capacity, improving efficiency without requiring new infrastructure.

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Publication Details

Journal
International journal of engineering research in Africa
Published
2025-06-02
DOI
https://doi.org/10.4028/p-1xpz2u
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
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article

Verification of Drone-Acquired Camouflaged Telecommunication Tower Frontal Area Using In Situ Strain and Environmental Measurements

Nicolaas J. H. Grobler, Chris E. Ackerman
International journal of engineering research in Africa
Remote Sensing and LiDAR Applications
article

Verification of Drone-Acquired Camouflaged Telecommunication Tower Frontal Area Using In Situ Strain and Environmental Measurements

Nicolaas J. H. Grobler, Chris E. Ackerman
article en

Abstract

This study introduces a novel methodology to determine the effective area of artificial tree camouflaged telecommunication towers, focusing on the pine tree type, using drone technology and photogrammetry. Accurate frontal area determination is essential for wind load calculations, critical to the structural design of such towers. Conducted on a telecommunication tower in East London, South Africa, the research applied image thresholding to point clouds generated from drone-captured images. The drone-derived frontal area of 23.484 m 2 , when combined with a force coefficient of 0.5 from previous wind tunnel research, resulted in an effective area of 11.742 m 2 , differing by less than 4% from the in-situ strain-derived effective area of 12.10 m 2 utilized as verification. The study addresses the lack of guidelines for designing camouflaged towers and highlights the advantages of drone technology over traditional methods. The results suggest a 47% reduction in the original design's effective area, leading to a 20% reduction in bending moments at the telecommunication tower base. This can result in cost savings by reducing the required structural capacity in future designs or increasing antenna space, which is crucial for 5G deployment. The research offers a practical solution to optimize existing telecommunication towers' capacity, improving efficiency without requiring new infrastructure.

International journal of engineering research in AfricaVol. 74
Tshwane University of Technology (ZA)
Openalex Percentile: Top 89%
Remote Sensing and LiDAR Applications
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