Abstract
Different aspects of froth flotation have received varying levels of interest from the automation community over the past 30 years. Model-based level stabilisation and mass-pull based grade control strategies continue to deliver significant benefit to industry. However, industry seems slow to adopt the use of image processing applications and more comprehensive flotation models in industrial Advanced Process Control (APC) applications - despite the benefits reported in the literature. In this paper an industrial flotation control system that includes basic visual froth imaging functionality is presented as a case study, to highlight some of the challenges experienced, and to identify reasons why integrated industrial APC implementations including advanced models and machine learning components remain scarce.
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