The interrelationship between surface froth characteristics and industrial flotation performance

被引：82

作者：

Moolman, DW

Aldrich, C

Schmitz, GPJ

VanDeventer, JSJ

机构：

[1] Department of Chemical Engineering, University of Stellenbosch, Matieland 7602

来源：

MINERALS ENGINEERING | 1996年 / 9卷 / 08期

关键词：

flotation froths; neural networks; process modelling;

D O I：

10.1016/0892-6875(96)00076-3

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

This paper discusses the rapid development in computer technology and neural networks that are used to transform recently developed concepts and available technology into a new generation of intelligent automation systems. In this study features extracted from images of froths by an on-line machine vision system in an industrial precious metal flotation plant were used to relate froth characteristics with the performance of the plant by using self-organising and Sammon maps. This intelligent vision system constitutes a powerful tool for the investigation and interpretation of the effect of various flotation parameters. Previous work is extended by relating surface froth characteristics with industrial flotation control and performance variables. This method of system identification represents a significant development towards an automatic control system. Copyright (C) 1996 Published by Elsevier Science Ltd

引用

页码：837 / 854

页数：18

共 12 条

[1]

ALDRICH C, 1995, IN PRESS CHEM ENG CO

[2] STATISTICAL AND STRUCTURAL APPROACHES TO TEXTURE [J].