Online monitoring and control of froth flotation systems with machine vision: A review

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dc.contributor.authorAldrich C.
dc.contributor.authorMarais C.
dc.contributor.authorShean B.J.
dc.contributor.authorCilliers J.J.
dc.date.accessioned2011-05-15T16:01:49Z
dc.date.available2011-05-15T16:01:49Z
dc.date.issued2010
dc.description.abstractResearch and development into the application of machine vision in froth flotation systems has continued since its introduction in the late 1980s. Machine vision is able to accurately and rapidly extract froth characteristics, both physical (e.g. bubble size) and dynamic (froth velocity) in nature, from digital images and present these results to operators and/or use the results as inputs to process control systems. Currently, machine vision has been implemented on several industrial sites worldwide and the technology continues to benefit from advances in computer technology. Effort continues to be directed into linking concentrate grade with measurable attributes of the froth phase, although this is proving difficult. As a result other extracted variables, such as froth velocity, have to be used to infer process performance. However, despite more than 20 years of development, a long-term, fully automated control system using machine vision is yet to materialise. In this review, the various methods of data extraction from images are investigated and the associated challenges facing each method discussed. This is followed by a look at how machine vision has been implemented into process control structures and a review of some of the commercial froth imaging systems currently available. Lastly, the review assesses future trends and draws several conclusions on the current status of machine vision technology. © 2010 Elsevier B.V. All rights reserved.
dc.description.versionArticle
dc.identifier.citationInternational Journal of Mineral Processing
dc.identifier.citation96
dc.identifier.citation04-Jan
dc.identifier.issn3017516
dc.identifier.other10.1016/j.minpro.2010.04.005
dc.identifier.urihttp://hdl.handle.net/10019.1/12170
dc.subjectAutomated control systems
dc.subjectBubble size
dc.subjectComputer technology
dc.subjectConcentrate grade
dc.subjectControl structure
dc.subjectCurrent status
dc.subjectData extraction
dc.subjectDigital image
dc.subjectFroth characteristics
dc.subjectFuture trends
dc.subjectIndustrial sites
dc.subjectMachine vision
dc.subjectMachine vision technologies
dc.subjectModelling
dc.subjectOnline monitoring
dc.subjectProcess performance
dc.subjectResearch and development
dc.subjectComputer vision
dc.subjectControl systems
dc.subjectFroth flotation
dc.subjectImage analysis
dc.subjectOnline systems
dc.subjectProcess control
dc.titleOnline monitoring and control of froth flotation systems with machine vision: A review
dc.typeArticle
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