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Measuring blast fragmentation at Esperanza mine using high resolution 3D laser scanning
School of Mechanical and Mining Engineering, The University of Queensland.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems. Innovative Machine Vision.ORCID iD: 0000-0001-6186-7116
Antofagasta Minerals.
2015 (English)In: Mining Technology, ISSN 1474-9009, E-ISSN 1743-2863, Vol. 124, no 1, 34-46 p.Article in journal (Refereed) Published
Abstract [en]

Image analysis as a technique for fragmentation measurement of rock piles has been the subject of research since the 1980’s and to date, run of mine (ROM) fragmentation optimisation studies have primarily relied on particle size measurement using photographic based 2D imaging systems. Disadvantages of 2D imaging systems include particle delineation errors due to variable lighting and material colour and texture variation; no direct measure of scale & perspective distortion; and inability to distinguish overlapped particles, non-overlapped particles and areas-of-fines. With the development of 3D imaging technologies, there is an opportunity to develop techniques that could improve data collection and overcome the limitations of existing 2D image based systems. This paper describes the first attempt to use 3D high resolution laser scanning techniques to quantify “whole of muckpile” fragmentation from full scale production blasting. During two monitoring campaigns in 2013, high resolution laser scanning data was collected from production blasts at Esperanza Mine (Antofagasta Minerals Group). Fully automated analysis of the 3D data was possible in all cases where the data was of sufficiently high resolution. Manual pre-processing was required when the data was of low resolution to specify the region of fines. Overall results indicated that run of mine fragmentation requirements were meeting specified targets despite the marked differences in powder factors. This was particularly the case for those blasts conducted in similar geological domains. This work has demonstrated that high resolution laser scanning can be used as an alternative technique to measure “whole of muckpile” fragmentation in production blasting.

Place, publisher, year, edition, pages
2015. Vol. 124, no 1, 34-46 p.
Keyword [en]
fragmentation assessment, fragmentation measurement, fragmentation analysis, blasting fragmentation, caving fragmentation, fragmentation measurement 3D, Civil engineering and architecture - Geoengineering and mining engineering
Keyword [sv]
Samhällsbyggnadsteknik och arkitektur - Geoteknik och gruvteknik
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-12310Local ID: b6caa055-c334-4c48-a430-5f37896d0759OAI: oai:DiVA.org:ltu-12310DiVA: diva2:985260
Note
Validerad; 2015; Nivå 1; 20140612 (mjt)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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ce6013b7c36ba03fefb0cea016681443a06e7bb00bc1814d76a4e4e09abe8897d2496f9e7cc8c0c5b6ff7941b4d79b7a79821b132e6f9216f6d0f6c8c3e59857
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Other links

http://www.innovativemachinevision.com/fragmentation-assessment-studies-for-mining/ OspecifieradeDenna studie bedömning fragmentering genomfördes i samarbete med Innovative Machine Vision. Kvantitativt jämföra fragmentering i sprängning och grottforskning med fragmentering mätning för underjords "drawpoints" och dagbrott "muckpiles"

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