Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/78064
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Type: Conference paper
Title: Stockpile modelling using mobile laser scanner for quality grade control in stockpile management
Author: Zhao, S.
Lu, T.
Koch, B.
Hurdsman, A.
Citation: Proceedings of the 12th International Conference on Control, Automation, Robotics and Vision, held in Guangzhou, China, 5-7 December, 2012: pp.811-816
Publisher: IEEE
Publisher Place: USA
Issue Date: 2012
Series/Report no.: International Conference on Control Automation Robotics and Vision
ISBN: 9781467318709
ISSN: 2474-2953
Conference Name: International Conference on Control, Automation, Robotics and Vision (12th : 2012 : Guangzhou, China)
Statement of
Responsibility: 
Shi Zhao, Tien-Fu Lu, Ben Koch and Alan Hurdsman
Abstract: The delivery of a relatively constant quality grade of iron ore is crucial to Australia mining. As a buffer, blending and target grading system, stockpile plays a key role in the iron ore quality control. However, the shape of the stockpile, the quantity housed within the stockpile and the quality grade inside the stockpile are currently unavailable to operators. Therefore, this paper describes a method to generate 3D model of a stockpile with multiple layers using laser to keep tracking the shape changes caused by the stacking and reclaiming operations. Using this 3D model, the volume can be easily calculated anytime. Experiments conducted in laboratory environment indicate good results and proved that the 3D modelling method is accurate and efficient.
Keywords: Stockpile modelling; laser; least square; nonlinear curve fitting
Rights: © 2012 IEEE
RMID: 0020127452
DOI: 10.1109/ICARCV.2012.6485262
Appears in Collections:Mechanical Engineering conference papers

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