A deep learning approach for rock fragmentation analysis

Volume: 145, Pages: 104839 - 104839
Published: Sep 1, 2021
Abstract
In mining operations, blast-induced rock fragmentation affects the productivity and efficiency of downstream operations including digging, hauling, crushing, and grinding. Continuous measurement of rock fragmentation is essential for optimizing blast design. Current methods of rock fragmentation analysis rely on either physical screening of blasted rock material or image analysis of the blasted muckpiles; both are time consuming. This study aims...
Paper Details
Title
A deep learning approach for rock fragmentation analysis
Published Date
Sep 1, 2021
Volume
145
Pages
104839 - 104839
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