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Fragmentation size measurement using 3D surface imaging
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-6186-7116
2009 (English)In: Fragblast 9: Rock Fragmentation By Blasting. Proceedings of the 9th International Symposium On Rock Fragmentation By Blasting / [ed] Jose A. Sanchidrian Blanco, Boca Raton, Fla.: CRC Press, 2009, 229-237 p.Conference paper (Refereed)
Abstract [en]

Advances in developing vision systems for fully automated, non-invasive, rapid particle sizing in the mining and aggregates industries are presented using the example of fragmentation measurement of ore in an underground LHD unit bucket. 3D surface data (Figure 1) 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. Results are presented covering; 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 presented research allows the possibility of feedback to blasting, and automatic control of mills and crushers when applied to conveyor belt applications.

Place, publisher, year, edition, pages
Boca Raton, Fla.: CRC Press, 2009. 229-237 p.
Research subject
Signal Processing
URN: urn:nbn:se:ltu:diva-34616Local ID: 8dc0ecb0-0a61-11de-9f31-000ea68e967bISBN: 9780415482967 (print)OAI: diva2:1007867
International Symposium on Rock Fragmentation by Blasting : 13/09/2009 - 17/09/2009
Demonstration of automated fragmentation size measurement in LHD Buckets
Godkänd; 2009; 20090306 (mjt)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-02-14Bibliographically approved

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