Detecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetry

Detalhes bibliográficos
Autor(a) principal: Benevenuti, Felipe Dille
Data de Publicação: 2021
Outros Autores: Peroni, Rodrigo de Lemos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/231539
Resumo: Open-pit mines generally have operational problems such as puddling and inappropriate water flow over haul roads, particularly if located in areas with high rainfall indices. These situations increase truck cycle times, promote rapid deterioration of haul-road wearing-course material, reduce productivity due to downtime and increase road maintenance. In addition, operational costs are raised as the frequency of truck maintenance and tire failures also increase. The use of a high-resolution three-dimensional elevation model, created based on Unmanned Aerial Vehicle (UAV) photogrammetry, has been shown to be an effective technique to detect anomalies in a fast and precise way. With the proposed approach, it is possible to diagnose haul-road conditions after rainfall or to anticipate the potential occurrence of such anomalies before they become a greater problem. This diagnosis can then be used to prioritize maintenance activities in open-pit mines. To describe the methodology, a case study is presented demonstrating and validating the results obtained.
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spelling Benevenuti, Felipe DillePeroni, Rodrigo de Lemos2021-11-04T04:24:25Z20210012-7353http://hdl.handle.net/10183/231539001132317Open-pit mines generally have operational problems such as puddling and inappropriate water flow over haul roads, particularly if located in areas with high rainfall indices. These situations increase truck cycle times, promote rapid deterioration of haul-road wearing-course material, reduce productivity due to downtime and increase road maintenance. In addition, operational costs are raised as the frequency of truck maintenance and tire failures also increase. The use of a high-resolution three-dimensional elevation model, created based on Unmanned Aerial Vehicle (UAV) photogrammetry, has been shown to be an effective technique to detect anomalies in a fast and precise way. With the proposed approach, it is possible to diagnose haul-road conditions after rainfall or to anticipate the potential occurrence of such anomalies before they become a greater problem. This diagnosis can then be used to prioritize maintenance activities in open-pit mines. To describe the methodology, a case study is presented demonstrating and validating the results obtained.Las minas a cielo abierto generalmente tienen problemas operativos, como empozamiento y flujo de agua no apropiados en los caminos de acarreo, principalmente en minas ubicadas en áreas con altos índices de lluvia. Estas situaciones aumentan los tiempos de ciclo de los camiones, promueven el rápido deterioro de las carreteras de transporte ocasionando la reducción de productividad debido al aumento del tiempo de inactividad y de la frecuencia del mantenimiento de las carreteras. Además de eso, los costos operativos se incrementan una vez que aumenta la frecuencia del mantenimiento de los camiones y desgaste de los neumáticos. El uso de un modelo de elevación tridimensional de alta resolución, creado a partir fotogrametría de datos de vehículos aéreos no tripulados (UAV), ha demostrado ser una técnica eficaz para detectar anomalías de forma rápida y precisa. Con el enfoque propuesto, es posible diagnosticar las condiciones de los caminos de acarreo después de la lluvia, o anticipar el potencial de ocurrencia de tales anomalías antes de que se conviertan en un problema mayor. Este diagnóstico se puede utilizar para priorizar las actividades de mantenimiento en minas a cielo abierto. Para describir la metodología, se presenta un estudio de caso que demuestra y valida los resultados obtenidos.application/pdfengDyna : revista de la Facultad de Minas. Medelim, Colômbia. Vol. 88, no. 216 (Jan./Mar.), p. 190-195Sistemas de drenagemMineração a céu abertoAerofotogrametriaDrainageMiningPhotogrammetryUAVWaterDrenajeMineríaFotogrametríaUAVAguaDetecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetryDetección de problemas de drenaje en minas a cielo abierto y caminos de acarreo utilizando fotogrametría UAV Estrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001132317.pdf.txt001132317.pdf.txtExtracted Texttext/plain27596http://www.lume.ufrgs.br/bitstream/10183/231539/2/001132317.pdf.txta541f1fdbd05a099bdcfa833e59b40cbMD52ORIGINAL001132317.pdfTexto completo (inglês)application/pdf712069http://www.lume.ufrgs.br/bitstream/10183/231539/1/001132317.pdf3e04bc517657e747191bc117d638297fMD5110183/2315392021-11-20 06:08:31.609742oai:www.lume.ufrgs.br:10183/231539Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-11-20T08:08:31Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Detecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetry
dc.title.alternative.es.fl_str_mv Detección de problemas de drenaje en minas a cielo abierto y caminos de acarreo utilizando fotogrametría UAV
title Detecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetry
spellingShingle Detecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetry
Benevenuti, Felipe Dille
Sistemas de drenagem
Mineração a céu aberto
Aerofotogrametria
Drainage
Mining
Photogrammetry
UAV
Water
Drenaje
Minería
Fotogrametría
UAV
Agua
title_short Detecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetry
title_full Detecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetry
title_fullStr Detecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetry
title_full_unstemmed Detecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetry
title_sort Detecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetry
author Benevenuti, Felipe Dille
author_facet Benevenuti, Felipe Dille
Peroni, Rodrigo de Lemos
author_role author
author2 Peroni, Rodrigo de Lemos
author2_role author
dc.contributor.author.fl_str_mv Benevenuti, Felipe Dille
Peroni, Rodrigo de Lemos
dc.subject.por.fl_str_mv Sistemas de drenagem
Mineração a céu aberto
Aerofotogrametria
topic Sistemas de drenagem
Mineração a céu aberto
Aerofotogrametria
Drainage
Mining
Photogrammetry
UAV
Water
Drenaje
Minería
Fotogrametría
UAV
Agua
dc.subject.eng.fl_str_mv Drainage
Mining
Photogrammetry
UAV
Water
dc.subject.spa.fl_str_mv Drenaje
Minería
Fotogrametría
UAV
Agua
description Open-pit mines generally have operational problems such as puddling and inappropriate water flow over haul roads, particularly if located in areas with high rainfall indices. These situations increase truck cycle times, promote rapid deterioration of haul-road wearing-course material, reduce productivity due to downtime and increase road maintenance. In addition, operational costs are raised as the frequency of truck maintenance and tire failures also increase. The use of a high-resolution three-dimensional elevation model, created based on Unmanned Aerial Vehicle (UAV) photogrammetry, has been shown to be an effective technique to detect anomalies in a fast and precise way. With the proposed approach, it is possible to diagnose haul-road conditions after rainfall or to anticipate the potential occurrence of such anomalies before they become a greater problem. This diagnosis can then be used to prioritize maintenance activities in open-pit mines. To describe the methodology, a case study is presented demonstrating and validating the results obtained.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-11-04T04:24:25Z
dc.date.issued.fl_str_mv 2021
dc.type.driver.fl_str_mv Estrangeiro
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/231539
dc.identifier.issn.pt_BR.fl_str_mv 0012-7353
dc.identifier.nrb.pt_BR.fl_str_mv 001132317
identifier_str_mv 0012-7353
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url http://hdl.handle.net/10183/231539
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Dyna : revista de la Facultad de Minas. Medelim, Colômbia. Vol. 88, no. 216 (Jan./Mar.), p. 190-195
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reponame_str Repositório Institucional da UFRGS
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