The RockDataAcademy – a new open-access knowledge base covering the ins and outs of using sensors to scan ores

The Australasian Institute of Mining and Metallurgy
M Dalm
Organization:
The Australasian Institute of Mining and Metallurgy
Pages:
2
File Size:
94 KB
Publication Date:
Sep 1, 2024

Abstract

More and more mining companies are becoming aware of the potential benefits of sensor-based ore sorting and process optimisation. This is reflected by a growing number of analysers that are available for drill hole logging, conveyor belt scanning, ore sorting, slurry analysis, etc. These tools all rely on a specific sensor technology that can be used to detect a material property such as colour, density, mineralogy, or chemical elements. However, all sensors have restrictions on the minerals and/or elements that can be detected or inferred. This is caused by the physical mechanisms behind the technology and depends on mineral concentration and compositional heterogeneity of the ore. Since nearly every ore deposit is unique in composition and characterised by different geological features that drive heterogeneity, no one-size-fits-all sensor solution is available. This makes it difficult for mining professionals to find suitable sensing technologies that can help them solve problems and improve processes for their specific ore types.
Citation

APA: M Dalm  (2024)  The RockDataAcademy – a new open-access knowledge base covering the ins and outs of using sensors to scan ores

MLA: M Dalm The RockDataAcademy – a new open-access knowledge base covering the ins and outs of using sensors to scan ores. The Australasian Institute of Mining and Metallurgy, 2024.

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