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Title: A UAV-based framework for semi-automated thermographic inspection of belt conveyors in the mining industry.
Authors: Carvalho Júnior, José Regivaldo de
Nascimento, Richardson
D'Angelo, Thiago
Silva, Saul Emanuel Delabrida
Bianchi, Andrea Gomes Campos
Oliveira, Ricardo Augusto Rabelo
Azpúrua, Héctor
Garcia, Luis Guilherme Uzeda
Keywords: Idler rollers
Computer vision
Issue Date: 2020
Citation: CARVALHO JÚNIOR, J. R. de et al. A UAV-based framework for semi-automated thermographic inspection of belt conveyors in the mining industry. Sensors, v. 20, artigo 2243, 2020. Disponível em: <>. Acesso em: 25 agosto 2021.
Abstract: Frequent 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.
ISSN: 1424-8220
metadata.dc.rights.license: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( Fonte: o PDF do artigo.
Appears in Collections:DECOM - Artigos publicados em periódicos

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