Assessment of the feasibility of a terrestrial scanner in underground and surface mining at BHPB Cannington mine

Tozer, Paul (2005) Assessment of the feasibility of a terrestrial scanner in underground and surface mining at BHPB Cannington mine. [USQ Project]

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Abstract

Terrestrial laser scanners are becoming more and more a part of the surveying industry.
The high speed, remote capture of considerable amounts of quality data has made the
scanner an attractive and valuable surveying instrument.
To date most of the uses for a scanner have been surface based applications. This paper
investigates the feasibility of using a scanner at BHPB Cannington underground mine to
replace traditional survey measurements. The increased speed of remote data capture
could contribute to a safer operation and the increased quantity of data would lead to
more accurate 3-dimensional models which could contribute to better reconciliation and
mine design. To this end a number survey tasks were undertaken in the underground
environment. The methodology used was to compare surveys of a stope and drive
carried out with a scanner to that of surveys carried out with traditional measurements.
Aspects of practicality and data were examined. The study found that it is feasible to use
a scanner underground but a financial rationalization study would need to be undertaken
to justify the purchase of a scanner.


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Item Type: USQ Project
Refereed: No
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Date Deposited: 11 Oct 2007 00:23
Last Modified: 02 Jul 2013 22:32
Uncontrolled Keywords: geographic information systems (GIS), laser scanner, terrestrial, digital terrain models (DTM), cavity monitoring system (CMS)
Fields of Research (2008): 09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
Fields of Research (2020): 40 ENGINEERING > 4013 Geomatic engineering > 401302 Geospatial information systems and geospatial data modelling
URI: https://sear.unisq.edu.au/id/eprint/508

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