Autonomous power line detection and tracking system using UAVs

Oscar Bowen Schofield; Nicolai Iversen; Emad Ebeid

doi:10.1016/j.micpro.2022.104609

Autonomous power line detection and tracking system using UAVs

Oscar Bowen Schofield^*, Nicolai Iversen, Emad Ebeid

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Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Abstract

A large portion of overhead power transmission infrastructure around the world is becoming aged, raising the demand for frequent grid inspections in an efficient, cost-effective manner in order to keep it functional. Drones are a promising solution for infrastructure inspection, however, they require further investigation and development to enable their autonomy for large scale inspection operations. This paper proposes a drone framework based on open-source platforms for autonomous inspection of electrical grid infrastructure. The framework incorporates (1) a cloud service for geo-location data of nearby power pylons; (2) a localisation system for pylon navigation and cable grasping; and (3) a cable following algorithm for cable inspection using onboard sensors. The software functionality of the proposed framework has been validated in a simulation power line environment. Custom drones have been developed for validating the framework and algorithms within an unenergised power line environment.

Originalsprog	Engelsk
Artikelnummer	104609
Tidsskrift	Microprocessors and Microsystems
Vol/bind	94
Antal sider	14
ISSN	0141-9331
DOI	https://doi.org/10.1016/j.micpro.2022.104609
Status	Udgivet - okt. 2022

Bibliografisk note

Funding Information:
This work was supported by the Innovation Fund Denmark, Drones4Energy [grant agreement No 8057-00038A ] and European Union’s Horizon 2020, Drones4Safety [grant agreement No 86111 ].

Funding Information:
This work was supported by the Innovation Fund Denmark, Drones4Energy [grant agreement No 8057-00038A] and European Union's Horizon 2020, Drones4Safety [grant agreement No 86111].

Publisher Copyright:
© 2022 The Author(s)

Dokumenter og links

10.1016/j.micpro.2022.104609Licens: CC BY

Open Access VersionForlagets udgivne version, 17 MBLicens: CC BY

2 Afsluttet

EU H2020: Drones4Safety
Ebeid, E. S. M. (Koordinator), Lindberg, A. (Projektleder), Malle, N. H. (Ph.d.-studerende) & Nyboe, F. F. (Ph.d.-studerende)
01/06/2020 → 31/05/2023
Projekter: Projekt › EU
IFD: Drones4Energy
Ebeid, E. S. M. (Koordinator), Lindberg, A. (Projektleder), Iversen, N. (Projektdeltager) & Schofield, O. B. (Projektdeltager)
01/12/2018 → 30/11/2021
Projekter: Projekt › Forskning

Citationsformater

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abstract = "A large portion of overhead power transmission infrastructure around the world is becoming aged, raising the demand for frequent grid inspections in an efficient, cost-effective manner in order to keep it functional. Drones are a promising solution for infrastructure inspection, however, they require further investigation and development to enable their autonomy for large scale inspection operations. This paper proposes a drone framework based on open-source platforms for autonomous inspection of electrical grid infrastructure. The framework incorporates (1) a cloud service for geo-location data of nearby power pylons; (2) a localisation system for pylon navigation and cable grasping; and (3) a cable following algorithm for cable inspection using onboard sensors. The software functionality of the proposed framework has been validated in a simulation power line environment. Custom drones have been developed for validating the framework and algorithms within an unenergised power line environment.",

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N2 - A large portion of overhead power transmission infrastructure around the world is becoming aged, raising the demand for frequent grid inspections in an efficient, cost-effective manner in order to keep it functional. Drones are a promising solution for infrastructure inspection, however, they require further investigation and development to enable their autonomy for large scale inspection operations. This paper proposes a drone framework based on open-source platforms for autonomous inspection of electrical grid infrastructure. The framework incorporates (1) a cloud service for geo-location data of nearby power pylons; (2) a localisation system for pylon navigation and cable grasping; and (3) a cable following algorithm for cable inspection using onboard sensors. The software functionality of the proposed framework has been validated in a simulation power line environment. Custom drones have been developed for validating the framework and algorithms within an unenergised power line environment.

AB - A large portion of overhead power transmission infrastructure around the world is becoming aged, raising the demand for frequent grid inspections in an efficient, cost-effective manner in order to keep it functional. Drones are a promising solution for infrastructure inspection, however, they require further investigation and development to enable their autonomy for large scale inspection operations. This paper proposes a drone framework based on open-source platforms for autonomous inspection of electrical grid infrastructure. The framework incorporates (1) a cloud service for geo-location data of nearby power pylons; (2) a localisation system for pylon navigation and cable grasping; and (3) a cable following algorithm for cable inspection using onboard sensors. The software functionality of the proposed framework has been validated in a simulation power line environment. Custom drones have been developed for validating the framework and algorithms within an unenergised power line environment.

KW - Autonomous missions

KW - Cloud services

KW - Detection algorithms

KW - Drone framework

KW - Powerline inspection

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DO - 10.1016/j.micpro.2022.104609

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VL - 94

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Autonomous power line detection and tracking system using UAVs

Abstract

Bibliografisk note

Dokumenter og links

Fingeraftryk

Relaterede projekter

EU H2020: Drones4Safety

IFD: Drones4Energy

Citationsformater