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|Title:||Stockpile modelling using mobile laser scanner for quality grade control in stockpile management|
|Citation:||Proceedings of the 12th International Conference on Control, Automation, Robotics and Vision, held in Guangzhou, China, 5-7 December, 2012: pp.811-816|
|Series/Report no.:||International Conference on Control Automation Robotics and Vision|
|Conference Name:||International Conference on Control, Automation, Robotics and Vision (12th : 2012 : Guangzhou, China)|
|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|
|Appears in Collections:||Mechanical Engineering conference papers|
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