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Project: Demonstration of automated fragmentation size measurement in LHD Buckets
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
2010 (English)Other (Other (popular science, discussion, etc.))
Abstract [en]

This project contributed advances in developing vision systems for fully automated, non-invasive, rapid particle sizing for fragmentation measurement of ore in an underground LHD unit bucket. 3D surface data of the bucket contents was collected during operation and fully automated offline processing of the data was performed on 424 data sets, determining the individual fragments in the bucket and estimating their sieve size. The results demonstrate fully automatic fragment identification, determination of non-overlapped and overlapped fragments to eliminate misclassification of overlapped fragments as smaller fragments, automatic identification of areas of fine material below the resolution of the 3D sensor, and sizing based on the measured 3D fragment profile that takes fragment overlap into consideration. The project demonstrated the techniques that could be used to provide rapid feedback to blasting, and automatic control of crushers when applied to conveyor belt applications.

Place, publisher, year, edition, pages
2010.
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-35975Local ID: 04f9b347-212b-4549-8870-408fab5d24d7OAI: oai:DiVA.org:ltu-35975DiVA: diva2:1009232
Note

Publication: Fragmentation size measurement using 3D surface imaging; Status:Ended; Period: 17/12/2010 → …; Project-ID: LTU-2871-2015

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2016-10-04Bibliographically approved

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