Real -Time Mining: Sensors for materials characterization

Feven Desta; Mike Buxton; Harald van der Werff; Marinus Dalm

Real -Time Mining: Sensors for materials characterization

Feven Desta, Mike Buxton, Harald van der Werff, Marinus Dalm

Resource Engineering

Research output: Contribution to conference › Abstract › Scientific

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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.

Original language	English
Pages	43-45
Number of pages	3
Publication status	Published - 2018
Event	Joint Conference of UNEXMIN, ¡VAMOS! and RTM Projects - Bled, Slovenia Duration: 30 Jan 2018 → 30 Jan 2018 https://www.minexforum.com/en/events/joint-conference-of-unexmin-vamos-projects/

Conference

Conference	Joint Conference of UNEXMIN, ¡VAMOS! and RTM Projects
Country/Territory	Slovenia
City	Bled
Period	30/01/18 → 30/01/18
Internet address	https://www.minexforum.com/en/events/joint-conference-of-unexmin-vamos-projects/

Keywords

sensor data
RGB
FTIR
hyperspectral imaging
polymetallic sulphide ore
material discrimination

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title = "Real -Time Mining: Sensors for materials characterization",

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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author = "Feven Desta and Mike Buxton and {van der Werff}, Harald and Marinus Dalm",

year = "2018",

language = "English",

pages = "43--45",

note = "Joint Conference of UNEXMIN, ¡VAMOS! and RTM Projects ; Conference date: 30-01-2018 Through 30-01-2018",

url = "https://www.minexforum.com/en/events/joint-conference-of-unexmin-vamos-projects/",

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TY - CONF

T1 - Real -Time Mining: Sensors for materials characterization

AU - Desta, Feven

AU - Buxton, Mike

AU - van der Werff, Harald

AU - Dalm, Marinus

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - sensor data

KW - RGB

KW - FTIR

KW - hyperspectral imaging

KW - polymetallic sulphide ore

KW - material discrimination

M3 - Abstract

SP - 43

EP - 45

T2 - Joint Conference of UNEXMIN, ¡VAMOS! and RTM Projects

Y2 - 30 January 2018 through 30 January 2018

ER -

Real -Time Mining: Sensors for materials characterization

Abstract

Conference

Keywords

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