Issue |
E3S Web Conf.
Volume 8, 2016
Mineral Engineering Conference MEC2016
|
|
---|---|---|
Article Number | 01058 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/e3sconf/20160801058 | |
Published online | 16 September 2016 |
Project DISIRE (H2020) – an idea of annotating of ore with sensors in KGHM Polska Miedz S.A. underground copper ore mines
1 Wroclaw University of Technology, Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland
2 KGHM O/ZWR Polkowice, Kopalniana 1, 59-101 Polkowice, Poland
3 KGHM, M. Skłodowskiej-Curie 48, 59-301 Lubin, Poland
a Corresponding author: witold.kawalec@pwr.edu.pl
The lithological composition of the copper ore delivered to the mills, when recognised in advance, is considered as the most important factor for the proper settings of grinding/milling equipment that can both decrease the specific energy consumption of ore processing and increase metal recovery. In order to address this problem, the idea of the use of sensors for in-situ sensing with respect to adaptation to harsh environment of copper ore conveying in the underground mines was investigated. The in-situ sensors information carrying pellets, are planned to be used for annotating the copper ore for the needs of ore processing plants control. The improved identification of the lithological composition of ore can be achieved by combination of annotating the stream of transported ore with pellets that keep the information on the original location of the ore (when they are dropped into the transported bulk material), the data of the in-situ lithology derived from the digital, orebody structural and quality block model and the simulation analysis of the transportation system. The idea is being developed within the DISIRE project – a part of the SPIRE initiative, acting under the “Horizon 2020” framework program.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.