Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/92747
Type: | Conference paper |
Title: | 3D stockpile modelling to improve the quality control in iron ore handling |
Author: | Zhao, S. Lu, TF, D. Koch, B. Hurdsman, A. |
Citation: | Proceedings of the International Conference on Mining, Material and Metallurgical Engineering, 2014, pp.80-1-80-9 |
Publisher: | Avestia |
Issue Date: | 2014 |
ISBN: | 9781927877067 |
ISSN: | 2368-5417 |
Conference Name: | 1st International Conference on Mining, Material and Metallurgical Engineering (MMME'14) (11 Aug 2014 - 12 Aug 2014 : Prague, Czech Republic) |
Statement of Responsibility: | Shi Zhao, Tien-Fu Lu, Shi Zhao, Tien-Fu Lu |
Abstract: | This paper describes a 3D stockpile modelling algorithm to improve quality control and increase operational efficiency in iron ore handling. The 3D model, generated from real measuring data, approximates a stockpile using a group of 3D volumetric element, which able to store information inside it, such as quality compositions of the ore. By associating this model with the cutting geometry of a real reclaimer, the quality of reclaimed material can be calculated and it is then possible to adjust the reclaiming according to the end objective with an optimised and continuous machine movement. This will help convert the current reactive and discontinuous reclaiming procedure into a proactive and unbroken mode. The proposed modelling algorithm was tested on a scaled down stockpile model and results demonstrate good, precise and fast performances. |
Keywords: | Stockpile modelling; Laser scanning; Voxelziation; Quality control |
Description: | Paper No. 80 |
Rights: | authors retain copyrights |
Grant ID: | http://purl.org/au-research/grants/arc/LP0989780 |
Published version: | http://avestia.com/MMME2014_Proceedings/papers/80.pdf |
Appears in Collections: | Aurora harvest 2 Mechanical Engineering conference papers |
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