Machine-vision-based control of zinc flotation -: A case study
Machine-vision-based control of zinc flotation -: A case study
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DOI：
10.1016/j.conengprac.2005.12.004
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发表时间：
2006-12-01
影响因子：
4.9
通讯作者：
Miettunen, J.
中科院分区：
文献类型：
--
作者：
Kaartinen, J.;Hatonen, J.;Miettunen, J.
由于浮选过程的混沌特性，浮选是一个非常具有挑战性的控制问题。本文介绍了一种结合多摄像机系统和专家控制器来提高浮选性能的新方法。该系统已安装到Pylidsalmi矿（芬兰）的锌回路中。事实上，长期数据分析表明，新方法大大提高了锌回路的回收率，使工厂的年利润大幅增加。(c)2006爱思唯尔有限公司版权所有。
It is widely accepted that mineral flotation is a very challenging control problem due to chaotic nature of process. This paper introduces a novel approach of combining multi-camera system and expert controllers to improve flotation performance. The system has been installed into the zinc circuit of Pylidsalmi Mine (Finland). Long-term data analysis in fact shows that the new approach has improved considerably the recovery of the zinc circuit, resulting in a substantial increase in the mill's annual profit. (c) 2006 Elsevier Ltd. All rights reserved.