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The benefit of ore sorting is rejecting waste material prior to downstream processing. This results in reducing material handling costs and environmental liability, lowering energy consumption, and feeding more consistent and higher ore grades to the concentrator. Sorting allows for a lower cost bulk mining method resulting in lowering the cut-off grade and increasing the resource size. Despite the potential benefits, sorting is not widely applied due to barriers in the current technology. These relate to limited ability of sensors to discriminate between barren rock and valuable rock, and the low throughput capacity of available industrial machines. This project aims improve the use of sensors by developing an advanced AI algorithm applied in sensors to increase the throughput capacity of the sorter. In addition, a pilot scale sorter would be set up based on the advanced algorithm to validate the performance.
Bern Klein
Xu Yang
Karamount Mineral Exploration
Engineering - other
Mining and quarrying
University of British Columbia
Accelerate
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