https://www.mdu.se/

mdh.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Use of multiple low cost autonomous drones for high voltage line inspection
Federal University of Itajubá, Av. BPS, 1303, Pinheirinho, Minas Gerais, Itajubá, Brazil.
Federal University of Itajubá, Av. BPS, 1303, Pinheirinho, Minas Gerais, Itajubá, Brazil.
Federal University of Itajubá, Av. BPS, 1303, Pinheirinho, Minas Gerais, Itajubá, Brazil.
Federal University of Itajubá, Av. BPS, 1303, Pinheirinho, Minas Gerais, Itajubá, Brazil.
Vise andre og tillknytning
2022 (engelsk)Inngår i: 33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022, International Council of the Aeronautical Sciences , 2022, s. 5591-5596Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Many high-voltage line monitoring companies have been using drones to carry out preventive inspection. The inspection procedure usually makes use of pilots that control drones which films the transmission lines. Afterwards, the images need to be analyzed in order to detect problems. This work proposes the usage of drones that make autonomous flights to perform the inspection. The proposed approach exploits three drones to inspect each important part of a transmission line, with the first inspecting the wires, the second inspecting the towers and the third checking the safety area under the line. All three drones are controlled by an embedded system with artificial intelligence which is able to identify a potential problem and issue an alert to locations that might present issues. © 2022 ICAS. All Rights Reserved.

sted, utgiver, år, opplag, sider
International Council of the Aeronautical Sciences , 2022. s. 5591-5596
Emneord [en]
Artificial Intelligence, Drone, High Line Tension, Multiple Drones, Real-time Detection
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-62707Scopus ID: 2-s2.0-85159665128ISBN: 9781713871163 (tryckt)OAI: oai:DiVA.org:mdh-62707DiVA, id: diva2:1760813
Konferanse
33rd Congress of the International Council of the Aeronautical Sciences, ICAS 2022, Stockholm, 4 September 2022, through 9 September 2022
Tilgjengelig fra: 2023-05-31 Laget: 2023-05-31 Sist oppdatert: 2023-05-31bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Scopus

Person

Funk, Peter

Søk i DiVA

Av forfatter/redaktør
Funk, Peter
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric

isbn
urn-nbn
Totalt: 21 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf