Detecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetry
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 product...
| Autores: | , |
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| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2021 |
| País: | Brasil |
| Recursos: | Universidade Federal do Rio Grande do Sul (UFRGS) |
| Repositório: | Repositório Institucional da UFRGS |
| Idioma: | inglês |
| OAI Identifier: | oai:www.lume.ufrgs.br:10183/231539 |
| Acesso em linha: | http://hdl.handle.net/10183/231539 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Sistemas de drenagem Mineração a céu aberto Aerofotogrametria Drainage Mining Photogrammetry UAV Water Drenaje Minería Fotogrametría Agua |
| 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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