Digital Asset Capturing (DAC): an image recognition based algorithm supporting collection and analysis of overhead power grid assets
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Paper number
1595
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
VALIGI, Enrico,Global I&N, Italy
BOLOGNESI, Massimo, Global I&N, Italy
CIANCARELLI, Francesco,Global I&N, Italy
BOLOGNESI, Massimo, Global I&N, Italy
CIANCARELLI, Francesco,Global I&N, Italy
Abstract
Since last decade, electrical power companies have largely improved quality and efficiency of overhead power lines surveillance and infrastructure assets inspections thanks to aerial vehicles (AVs) applications. Regular visual inspection are performed to check the status of their power lines mainly using helicopter equipped with external gimbals housing cameras to detect anomalies or abnormal conditions as soon as possible. Current detailed aerial inspection approach uses trained inspectors who fly aboard helicopters to inspect the lines with binoculars and cameras, while recording the data in a logbook. These manual activities are expensive and affected by human errors. The paper presents a different approach to digital capture power grid assets and to detect visible anomalies on components based on Artificial Intelligence technologies.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://www.cired-repository.org/handle/20.500.12455/827
http://dx.doi.org/10.34890/5
http://dx.doi.org/10.34890/5
ISSN
2032-9644
ISBN
978-2-9602415-0-1