Machine-vision-based control of zinc flotation -: A case study

被引：149

作者：

Kaartinen, J.

Hatonen, J.

Hyotyniemi, H.

Miettunen, J.

机构：

[1] Helsinki Univ Technol, Control Engn Lab, Helsinki 02015, Finland

[2] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England

[3] Pyhasalmi Mine Oy, Inmet Min, Pyhasalmi, Finland

来源：

CONTROL ENGINEERING PRACTICE | 2006年 / 14卷 / 12期

关键词：

image analysis; expert control; intelligent control; mineral flotation; performance analysis;

D O I：

10.1016/j.conengprac.2005.12.004

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1455 / 1466

页数：12

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