Dynamic modelling of 3D stockpile for life-cycle management through sparse range point clouds

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dc.contributor.authorZhao, S.
dc.contributor.authorLu, T.
dc.contributor.authorKoch, B.
dc.contributor.authorHurdsman, A.
dc.date.issued2013
dc.description.abstractGeometric stockpile models are always used to estimate the quantity and quality of iron ore in stockpile management systems. However, most of these models are not suitable for quality control purposes in iron-ore export facilities because no measurement device is used to continuously provide updated information for the modelling. This paper presents a solution to accurately measure profiles along the stockpile surface in real time and automatically models the 3D stockpile during stacking and reclaiming operations. Using a 2D laser range finder, the spatial data of a stockpile, such as the positions of different layers, the cutting surfaces during the reclaiming are represented by mathematical equations. Experiments conducted in a laboratory environment indicated good results and proved that the modelling approach is accurate and efficient. By making available the latest shapes of stockpiles and quality information, it is possible to predict the tonnage and quality grade with a greater degree of accuracy. Also, together with the reclaimer position data, it is possible to develop adaptive reclaiming algorithms to continually adjust the quality with respect to the quality requirement, which warrants meeting the required quantity and quality while enhancing the export efficiency and increasing productivity. © 2013 Elsevier B.V. All rights reserved.
dc.description.statementofresponsibilityShi Zhao, Tien-Fu Lu, Ben Koch, Alan Hurdsman
dc.identifier.citationInternational Journal of Mineral Processing, 2013; 125:61-77
dc.identifier.doi10.1016/j.minpro.2013.09.009
dc.identifier.issn0301-7516
dc.identifier.issn1879-3525
dc.identifier.orcidZhao, S. [0000-0002-9967-9986]
dc.identifier.orcidLu, T. [0000-0001-9757-9028]
dc.identifier.urihttp://hdl.handle.net/2440/81462
dc.language.isoen
dc.publisherElsevier Science BV
dc.relation.granthttp://purl.org/au-research/grants/arc/LP0989780
dc.relation.granthttp://purl.org/au-research/grants/arc/LP0989780
dc.rightsCopyright © 2013 Elsevier B.V. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.minpro.2013.09.009
dc.subjectStockpile management
dc.subject3D modelling
dc.subjectLaser
dc.subjectLeast square
dc.subjectBulk material
dc.titleDynamic modelling of 3D stockpile for life-cycle management through sparse range point clouds
dc.typeJournal article
pubs.publication-statusPublished

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