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

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

Permanent link to this record

https://www.cired-repository.org/handle/20.500.12455/827
http://dx.doi.org/10.34890/5

ISSN

2032-9644

ISBN

978-2-9602415-0-1