Abstract
The fragmentation and the shape of the muck pile are the two major outcomes of open pit mine and quarry blasts. Fast information about the muck pile properties helps to improve the production scheduling and furthermore, this information can be used to optimize the blasting patterns of future production blasts. The combined use of unmanned aerial vehicles (UAVs) and modern machine learning and computer vision systems offer a new way of acquiring spatial data to determine on-site fragment size distribution, while at the same time enabling integration into common work flows.
The paper discusses the relevant state of knowledge and technology and presents the aspired system development as well as first work.
The paper discusses the relevant state of knowledge and technology and presents the aspired system development as well as first work.
Translated title of the contribution | UAVs for Quality Control in Open Pit Mining: WP5.1 in the European Horizon 2020 Project SLIM |
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Original language | German |
Pages (from-to) | 124 - 130 |
Journal | Berg- und hüttenmännische Monatshefte |
Volume | 163 |
DOIs | |
Publication status | Published - 2018 |