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Automatic in-bucket volume estimation for dragline operations

Bewley, A. , Upcroft, B., Lever, P. , & Leonard, S. (2009) Automatic in-bucket volume estimation for dragline operations. In Proceedings 2009 Australian Mining Technology Conference, Technology Solutions for Challenging Financial Times, CRC Mining, University of Queensland Business School Downtown, Brisbane, pp. 153-167.

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Abstract

This paper presents a method for calculating the in-bucket payload volume on a dragline for the purpose of estimating the material’s bulk density in real-time. Knowledge of the bulk density can provide instant feedback to mine planning and scheduling to improve blasting and in turn provide a more uniform bulk density across the excavation site. Furthermore costs and emissions in dragline operation, maintenance and downstream material processing can be reduced. The main challenge is to determine an accurate position and orientation of the bucket with the constraint of real-time performance. The proposed solution uses a range bearing and tilt sensor to locate and scan the bucket between the lift and dump stages of the dragline cycle. Various scanning strategies are investigated for their benefits in this real-time application. The bucket is segmented from the scene using cluster analysis while the pose of the bucket is calculated using the iterative closest point (ICP) algorithm. Payload points are segmented from the bucket by a fixed distance neighbour clustering method to preserve boundary points and exclude low density clusters introduced by overhead chains and the spreader bar. A height grid is then used to represent the payload from which the volume can be calculated by summing over the grid cells. We show volume calculated on a scaled system with an accuracy of greater than 95 per cent.

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ID Code: 40411
Item Type: Conference Paper
Additional Information: http://www.crcmining.com.au/dynamic_page.php?page_id=182
Keywords: in-bucket payload volume, dragline, range bearing, tilt sensor
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > RESOURCES ENGINEERING AND EXTRACTIVE METALLURGY (091400) > Mining Engineering (091405)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2009 [please consult author]
Deposited On: 11 May 2011 10:08
Last Modified: 11 Aug 2011 01:33

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