Jingjing Deng, Fatima Taleb, Jan Ornik, Enjie Ding, Martin Koch, Enrique Castro-Camus
https://link.springer.com/article/10.1007/s10762-021-00803-9
The enormous risk that mine environments impose to the staff directly involved in the mineral extraction process makes the use of automated technologies extremely relevant, in order to minimize the risk of operators . Coal still represents a significant proportion of the fuel supply in several countries such as China, and mining it is an activity of tremendous economic importance . In this letter, we present terahertz (THz) spectroscopy as a potential tool for the quantitative recognition of rock-coal mixtures in powder form. This could lead to the implementation of appropriate sensors for in-line feedback to mining equipment in order to avoid or, at least, minimize the extraction of unwanted surrounding rock without the direct presence of human operators.
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