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A platform for research: civil engineering, architecture and urbanism
Bucket trajectory classification of mining excavators
Abstract Large mining excavators impose numerous challenges to the operator during a dig. A semi-automated or fully automated machine that could assist the operator during excavation would positively affect efficiency, ore selectivity, and reduce machine wear at the same time. Besides, the dependence on operator skills and attentiveness will be reduced. In order to realize any control on an excavator, it is prudent to know the dig patterns followed by the operator during a real time dig. This paper aims to classify the dig by analyzing the actual task performed by the operator. The trajectories are classified based on the location and angle of the bucket. Both 2-dimensional and 3-dimensional analyses of the bucket trajectory were performed on a EX 3500 mining excavator at the Newmont open pit mine using Arial Performance Analysis System (APAS).
Highlights ► Results of machine motion analysis for a front shovel are presented. ► Bucket trajectories of front shovels were recorded during regular mining operations. ► The 3D trajectory coordinates are evaluated using multi-camera stereovision. ► Trajectory classification helps automation and improves efficiency and energy savings.
Bucket trajectory classification of mining excavators
Abstract Large mining excavators impose numerous challenges to the operator during a dig. A semi-automated or fully automated machine that could assist the operator during excavation would positively affect efficiency, ore selectivity, and reduce machine wear at the same time. Besides, the dependence on operator skills and attentiveness will be reduced. In order to realize any control on an excavator, it is prudent to know the dig patterns followed by the operator during a real time dig. This paper aims to classify the dig by analyzing the actual task performed by the operator. The trajectories are classified based on the location and angle of the bucket. Both 2-dimensional and 3-dimensional analyses of the bucket trajectory were performed on a EX 3500 mining excavator at the Newmont open pit mine using Arial Performance Analysis System (APAS).
Highlights ► Results of machine motion analysis for a front shovel are presented. ► Bucket trajectories of front shovels were recorded during regular mining operations. ► The 3D trajectory coordinates are evaluated using multi-camera stereovision. ► Trajectory classification helps automation and improves efficiency and energy savings.
Bucket trajectory classification of mining excavators
Tiwari, Rashi (author) / Knowles, Jeremy (author) / Danko, George (author)
Automation in Construction ; 31 ; 128-139
2012-11-06
12 pages
Article (Journal)
Electronic Resource
English
Mining , Excavator , Trajectory , Bucket
Bucket trajectory classification of mining excavators
| Online Contents | 2013
Bucket trajectory classification of mining excavators
| British Library Online Contents | 2013
| Engineering Index Backfile | 1957
| Engineering Index Backfile | 1929