Field Trial of CSIRO VirtuoBlast Technology at the KCGM Super Pit - Part 1: Application to Pre- and Post-Blast Measurement

This paper gives a brief description of VirtuoBlast technology ù a new, automated and highly interactive stereo vision technology which has been developed in CSIRO Exploration and Mining. VirtuoBlast technology is an integration of three advanced technologies - close-range digital terrestrial photogrammetry, oblique stereo imaging or high-speed stereo imaging, and temporal-spatial image matching technique. VirtuoBlast has been developed for the automated 3D measurement of blasting through rapid collection, processing, analysis and visualisation of 3D data related to blasting. A major field trial has been undertaken in August 1998 at the KCGM super pit. The field trial involved three applications of the technology, namely, pre-blast 3D surface mapping; post-blast 3D performance measurement; and temporal-spatial modelling of dynamic blasting process. This paper presents some results from this trial with emphasis on the application of VirtuoBlast technology to pre-blast 3D surface mapping and post-blast 3D performance measurement. Application to the temporal-spatial 3D modelling of dynamic blasting process will be presented in a separate paper. Pre- and post-blast surface models derived using both VirtuoBlast technology and conventional field survey method are presented. The differences in results using the two mapping methods clearly show that the digital photogrammetric technique has many advantages over conventional survey methods. Results of pre- and post-blast from the field trial have demonstrated the potential of VirtuoBlast technology to efficiently perform pre-blast 3D surface mapping and post-blast 3D performance measurement of production blasts. Demonstrated applications of VirtuoBlast technology to automated 3D measurement of blasting are showing an exciting future in advancing blasting science and modern blast design. The basic technologies are in place, however, continued improvements to the functionality, robustness and outputs are needed. The challenge is to build on the current state-of-the-art, by developing techniques and hardware which can be easily transferred to and implemented by the mining community. Current and future research and development will see improvements in imaging systems, automatic image processing and 3D data analysis.