Real-time volume estimation of a dragline payload
Bewley, Alex, Shekhar, Rajiv, Leonard, Sam, Upcroft, Ben, & Lever, Ben (2011) Real-time volume estimation of a dragline payload. In Proceedings of the International Conference on Robotics and Automation, IEEE, Shanghai International Conference Center, Shanghai, pp. 1571-1576.
This paper presents a method for measuring the in-bucket payload volume on a dragline excavator for the purpose of estimating the material's bulk density in real-time. Knowledge of the payload's bulk density can provide feedback to mine planning and scheduling to improve blasting and therefore provide a more uniform bulk density across the excavation site. This allows a single optimal bucket size to be used for maximum overburden removal per dig and in turn reduce costs and emissions in dragline operation and maintenance.
The proposed solution uses a range bearing laser to locate and scan full buckets between the lift and dump stages of the dragline cycle. The bucket is segmented from the scene using cluster analysis, and the pose of the bucket is calculated using the Iterative Closest Point (ICP) algorithm. Payload points are identified using a known model and subsequently converted into a height grid for volume estimation. Results from both scaled and full scale implementations show that this method can achieve an accuracy of above 95%.
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|Item Type:||Conference Paper|
|Keywords:||Payload Volume, Bearing Laser, Iterative Closest Point|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
|Copyright Owner:||Copyright 2011 IEEE|
|Deposited On:||19 Jun 2011 22:23|
|Last Modified:||05 Mar 2013 08:46|
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