Cloud to Cable: A Drone Framework for Autonomous Power line Inspection

Oscar Bowen Schofield; Kasper Høj Lorenzen; Emad Ebeid

doi:10.1109/DSD51259.2020.00085

Cloud to Cable: A Drone Framework for Autonomous Power line Inspection

Oscar Bowen Schofield^*, Kasper Høj Lorenzen, Emad Ebeid

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

A large percentage of current overhead power transmission infrastructure is becoming aged, raising the demand for frequent grid inspections in an efficient, and cost-effect manner in order to keep it functional. Autonomous drones are a promising solution for infrastructure inspection, but require further investigation and development to be a viable alternative.
This paper proposes a drone framework based on open-source platforms for autonomous inspection of electrical grid infrastructure and for cable grasping. The framework incorporates a cloud service functionality to provide geo-location data of nearby power pylons; a localisation system for navigation near power pylons and grasping cables; and algorithms for finding and planning paths for navigation and grasping over cables. The proposed framework has been tested and validated in simulation, with the development of a UAV platform for future integration.

Original language	English
Title of host publication	2020 23rd Euromicro Conference on Digital System Design (DSD)
Publisher	IEEE
Publication date	8. Oct 2020
Pages	503-509
ISBN (Electronic)	978-1-7281-9535-3
DOIs	https://doi.org/10.1109/DSD51259.2020.00085
Publication status	Published - 8. Oct 2020
Event	2020 23rd Euromicro Conference on Digital System Design (DSD) - Kranj, Slovenia Duration: 26. Aug 2020 → 28. Aug 2020 Conference number: 23

Conference

Conference	2020 23rd Euromicro Conference on Digital System Design (DSD)
Number	23
Country/Territory	Slovenia
City	Kranj
Period	26/08/2020 → 28/08/2020

Keywords

Autonomous missions
Cloud services
Detection algorithms
Drones
Framework
Inspection
ROS

Documents & Links

10.1109/DSD51259.2020.00085

Cite this

@inproceedings{d3dfe0ddae62459bb3e661d506cf7c6c,

title = "Cloud to Cable: A Drone Framework for Autonomous Power line Inspection",

abstract = " A large percentage of current overhead power transmission infrastructure is becoming aged, raising the demand for frequent grid inspections in an efficient, and cost-effect manner in order to keep it functional. Autonomous drones are a promising solution for infrastructure inspection, but require further investigation and development to be a viable alternative. This paper proposes a drone framework based on open-source platforms for autonomous inspection of electrical grid infrastructure and for cable grasping. The framework incorporates a cloud service functionality to provide geo-location data of nearby power pylons; a localisation system for navigation near power pylons and grasping cables; and algorithms for finding and planning paths for navigation and grasping over cables. The proposed framework has been tested and validated in simulation, with the development of a UAV platform for future integration.",

keywords = "Autonomous missions, Cloud services, Detection algorithms, Drones, Framework, Inspection, ROS",

author = "Schofield, {Oscar Bowen} and Lorenzen, {Kasper H{\o}j} and Emad Ebeid",

year = "2020",

month = oct,

day = "8",

doi = "10.1109/DSD51259.2020.00085",

language = "English",

pages = "503--509",

booktitle = "2020 23rd Euromicro Conference on Digital System Design (DSD)",

publisher = "IEEE",

address = "United States",

note = "2020 23rd Euromicro Conference on Digital System Design (DSD), DSD ; Conference date: 26-08-2020 Through 28-08-2020",

}

TY - GEN

T1 - Cloud to Cable

T2 - 2020 23rd Euromicro Conference on Digital System Design (DSD)

AU - Schofield, Oscar Bowen

AU - Lorenzen, Kasper Høj

AU - Ebeid, Emad

N1 - Conference code: 23

PY - 2020/10/8

Y1 - 2020/10/8

N2 - A large percentage of current overhead power transmission infrastructure is becoming aged, raising the demand for frequent grid inspections in an efficient, and cost-effect manner in order to keep it functional. Autonomous drones are a promising solution for infrastructure inspection, but require further investigation and development to be a viable alternative. This paper proposes a drone framework based on open-source platforms for autonomous inspection of electrical grid infrastructure and for cable grasping. The framework incorporates a cloud service functionality to provide geo-location data of nearby power pylons; a localisation system for navigation near power pylons and grasping cables; and algorithms for finding and planning paths for navigation and grasping over cables. The proposed framework has been tested and validated in simulation, with the development of a UAV platform for future integration.

AB - A large percentage of current overhead power transmission infrastructure is becoming aged, raising the demand for frequent grid inspections in an efficient, and cost-effect manner in order to keep it functional. Autonomous drones are a promising solution for infrastructure inspection, but require further investigation and development to be a viable alternative. This paper proposes a drone framework based on open-source platforms for autonomous inspection of electrical grid infrastructure and for cable grasping. The framework incorporates a cloud service functionality to provide geo-location data of nearby power pylons; a localisation system for navigation near power pylons and grasping cables; and algorithms for finding and planning paths for navigation and grasping over cables. The proposed framework has been tested and validated in simulation, with the development of a UAV platform for future integration.

KW - Autonomous missions

KW - Cloud services

KW - Detection algorithms

KW - Drones

KW - Framework

KW - Inspection

KW - ROS

U2 - 10.1109/DSD51259.2020.00085

DO - 10.1109/DSD51259.2020.00085

M3 - Article in proceedings

SP - 503

EP - 509

BT - 2020 23rd Euromicro Conference on Digital System Design (DSD)

PB - IEEE

Y2 - 26 August 2020 through 28 August 2020

ER -

Cloud to Cable: A Drone Framework for Autonomous Power line Inspection

Abstract

Conference

Keywords

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