Real -Time Mining: Sensors for materials characterization

Abstract (2018)

Authors

F.S. Desta Resource Engineering - CEG
M.W.N. Buxton Resource Engineering - CEG
Harald van der Werff University of Twente
M. Dalm Resource Engineering - CEG
Research Group
Resource Engineering (CEG) (TU Delft)
Copyright: © 2018 F.S. Desta, M.W.N. Buxton, Harald van der Werff, M. Dalm
Sensor data FTIR Hyperspectral imaging RGB Polymetallic sulphide ore Material discrimination
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Published Date

2018

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Engineering

Research Group

Resource Engineering

Abstract

Sensors are being used as laboratory and in-situ techniques for characterization and definition of raw material properties. However, application of sensor technologies for underground mining resource extraction is very limited and highly dependent on the geological and operational environment. In our study the potential of RGB imaging, Fourier-Transform Infrared Spectroscopy (FTIR) spectroscopy and Hyperspectral imaging for the characterization of polymetallic sulphide minerals in a test case of the Reiche Zeche underground mine was investigated.

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