A UAV-based framework for semi-automated thermographic inspection of belt conveyors in the mining industry.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorCarvalho Júnior, José Regivaldo de-
Autor(es): dc.creatorNascimento, Richardson-
Autor(es): dc.creatorD'Angelo, Thiago-
Autor(es): dc.creatorSilva, Saul Emanuel Delabrida-
Autor(es): dc.creatorBianchi, Andrea Gomes Campos-
Autor(es): dc.creatorOliveira, Ricardo Augusto Rabelo-
Autor(es): dc.creatorPerez Imaz, Héctor Ignacio Azpúrua-
Autor(es): dc.creatorGarcia, Luis Guilherme Uzeda-
Data de aceite: dc.date.accessioned2025-08-21T15:50:07Z-
Data de disponibilização: dc.date.available2025-08-21T15:50:07Z-
Data de envio: dc.date.issued2022-02-06-
Data de envio: dc.date.issued2022-02-06-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/jspui/handle/123456789/14445-
Fonte completa do material: dc.identifierhttps://doi.org/10.3390/s20082243-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1025328-
Descrição: dc.descriptionFrequent and accurate inspections of industrial components and equipment are essential because failures can cause unscheduled downtimes, massive material, and financial losses or even endanger workers. In the mining industry, belt idlers or rollers are examples of such critical components. Although there are many precise laboratory techniques to assess the condition of a roller, companies still have trouble implementing a reliable and scalable procedure to inspect their field assets. This article enumerates and discusses the existing roller inspection techniques and presents a novel approach based on an Unmanned Aerial Vehicle (UAV) integrated with a thermal imaging camera. Our preliminary results indicate that using a signal processing technique, we are able to identify roller failures automatically. We also proposed and implemented a back-end platform that enables field and cloud connectivity with enterprise systems. Finally, we have also cataloged the anomalies detected during the extensive field tests in order to build a structured dataset that will allow for future experimentation.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsaberto-
Direitos: dc.rightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Fonte: o PDF do artigo.-
Palavras-chave: dc.subjectIdler rollers-
Palavras-chave: dc.subjectComputer vision-
Palavras-chave: dc.subjectMaintenance-
Título: dc.titleA UAV-based framework for semi-automated thermographic inspection of belt conveyors in the mining industry.-
Aparece nas coleções:Repositório Institucional - UFOP

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