Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections

Detalhes bibliográficos
Autor(a) principal: Berger, Guido
Data de Publicação: 2023
Outros Autores: Braun, João, Oliveira Júnior, Alexandre de, Lima, José, Pereira, Ana I., Valente, António, Soares, Salviano, Rech, Lucas C., Cantieri, Álvaro R., Wehrmeister, Marco A.
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10198/27284
Resumo: This research proposes positioning obstacle detection sensors by multirotor unmanned aerial vehicles (UAVs) dedicated to detailed inspections in high voltage towers. Different obstacle detection sensors are analyzed to compose a multisensory architecture in a multirotor UAV. The representation of the beam pattern of the sensors is modeled in the CoppeliaSim simulator to analyze the sensors’ coverage and detection performance in simulation. A multirotor UAV is designed to carry the same sensor architecture modeled in the simulation. The aircraft is used to perform flights over a deactivated electrical tower, aiming to evaluate the detection performance of the sensory architecture embedded in the aircraft. The results obtained in the simulation were compared with those obtained in a real scenario of electrical inspections. The proposed method achieved its goals as a mechanism to early evaluate the detection capability of different previously characterized sensor architectures used in multirotor UAV for electrical inspections.
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spelling Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspectionsUnmanned aerial vehiclesSensor modellingRobotic simulatorElectrical inspectionsThis research proposes positioning obstacle detection sensors by multirotor unmanned aerial vehicles (UAVs) dedicated to detailed inspections in high voltage towers. Different obstacle detection sensors are analyzed to compose a multisensory architecture in a multirotor UAV. The representation of the beam pattern of the sensors is modeled in the CoppeliaSim simulator to analyze the sensors’ coverage and detection performance in simulation. A multirotor UAV is designed to carry the same sensor architecture modeled in the simulation. The aircraft is used to perform flights over a deactivated electrical tower, aiming to evaluate the detection performance of the sensory architecture embedded in the aircraft. The results obtained in the simulation were compared with those obtained in a real scenario of electrical inspections. The proposed method achieved its goals as a mechanism to early evaluate the detection capability of different previously characterized sensor architectures used in multirotor UAV for electrical inspections.The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020), SusTEC (LA/P/0007/2021), Oleachain ”Skills for sustainability and innovation in the value chain of traditional olive groves in the Northern Interior of Portugal” (Norte06-3559-FSE-000188) and Centro Federal de Educação Tecnológica Celso Suckow da Fonseca (CEFET/RJ). The project that gave rise to these results received the support of a fellowship from ”la Caixa” Foundation (ID 100010434). The fellowship code is LCF/BQ/DI20/11780028.Biblioteca Digital do IPBBerger, GuidoBraun, JoãoOliveira Júnior, Alexandre deLima, JoséPereira, Ana I.Valente, AntónioSoares, SalvianoRech, Lucas C.Cantieri, Álvaro R.Wehrmeister, Marco A.2023-02-28T11:20:03Z20232023-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/27284engBerger, Guido; Braun, João; Júnior, Alexandre O.; Lima, José; Pereira, Ana I.; Valente, António; Soares, Salviano; Rech, Lucas C.; Cantieri, Álvaro R.; Wehrmeister, Marco A. (2022). Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections. In 2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022. Bragança10.1007/978-3-031-23236-7_3info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:18:38Zoai:bibliotecadigital.ipb.pt:10198/27284Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:46:08.556420Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections
title Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections
spellingShingle Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections
Berger, Guido
Unmanned aerial vehicles
Sensor modelling
Robotic simulator
Electrical inspections
title_short Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections
title_full Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections
title_fullStr Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections
title_full_unstemmed Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections
title_sort Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections
author Berger, Guido
author_facet Berger, Guido
Braun, João
Oliveira Júnior, Alexandre de
Lima, José
Pereira, Ana I.
Valente, António
Soares, Salviano
Rech, Lucas C.
Cantieri, Álvaro R.
Wehrmeister, Marco A.
author_role author
author2 Braun, João
Oliveira Júnior, Alexandre de
Lima, José
Pereira, Ana I.
Valente, António
Soares, Salviano
Rech, Lucas C.
Cantieri, Álvaro R.
Wehrmeister, Marco A.
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Berger, Guido
Braun, João
Oliveira Júnior, Alexandre de
Lima, José
Pereira, Ana I.
Valente, António
Soares, Salviano
Rech, Lucas C.
Cantieri, Álvaro R.
Wehrmeister, Marco A.
dc.subject.por.fl_str_mv Unmanned aerial vehicles
Sensor modelling
Robotic simulator
Electrical inspections
topic Unmanned aerial vehicles
Sensor modelling
Robotic simulator
Electrical inspections
description This research proposes positioning obstacle detection sensors by multirotor unmanned aerial vehicles (UAVs) dedicated to detailed inspections in high voltage towers. Different obstacle detection sensors are analyzed to compose a multisensory architecture in a multirotor UAV. The representation of the beam pattern of the sensors is modeled in the CoppeliaSim simulator to analyze the sensors’ coverage and detection performance in simulation. A multirotor UAV is designed to carry the same sensor architecture modeled in the simulation. The aircraft is used to perform flights over a deactivated electrical tower, aiming to evaluate the detection performance of the sensory architecture embedded in the aircraft. The results obtained in the simulation were compared with those obtained in a real scenario of electrical inspections. The proposed method achieved its goals as a mechanism to early evaluate the detection capability of different previously characterized sensor architectures used in multirotor UAV for electrical inspections.
publishDate 2023
dc.date.none.fl_str_mv 2023-02-28T11:20:03Z
2023
2023-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/27284
url http://hdl.handle.net/10198/27284
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Berger, Guido; Braun, João; Júnior, Alexandre O.; Lima, José; Pereira, Ana I.; Valente, António; Soares, Salviano; Rech, Lucas C.; Cantieri, Álvaro R.; Wehrmeister, Marco A. (2022). Sensor architecture model for unmanned aerial vehicles dedicated to electrical tower inspections. In 2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022. Bragança
10.1007/978-3-031-23236-7_3
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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