Authors: Jones, E; Sofonia, J; Canales, C; Hrabar, S; Kendoul, F


Cite As:
Jones, E, Sofonia, J, Canales, C, Hrabar, S & Kendoul, F 2019, 'Advances and applications for automated drones in underground mining operations', in W Joughin (ed.), Proceedings of the Ninth International Conference on Deep and High Stress Mining, The Southern Africa Institute of Mining and Metallurgy, Johannesburg, pp. 323-334.

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Abstract:
The development and current state of the Hovermap autonomous flight system in underground and GPS-denied areas is discussed, with examples obtained during the development and early adoption of the system. The current performance of the system and subsequent data interpretation suggest some scenarios in which Hovermap deployment is appropriate and have been proven. The examples focus principally on improving safety through a better understanding of the rock mass behaviour and failure mechanisms commonly encountered in deep and high-stress mining conditions, and from feeding these insights back into the design process. Recent and future developments in the hardware and software platforms and the associated data analytics are also outlined

References:
Brady, B., Brown, E. (2004). Rock Mechanics for Underground Mining (3rd Edition), Dordrecht, The Netherlands, Kluwer Academic Publishers.
Jones, E., Beck, D. (2017), The use of three-dimensional laser scanning for deformation monitoring in underground mines, Proceedings of the 13th AusIMM Underground Operators Conference, AusIMM, Gold Coast, Australia.
Jones, E., Ghabraie, B., Beck, D. (2018), A method for determining the field accuracy of mobile laser scanning devices for Geomechanics, Proceedings of the Asian Rock Mechanics Symposium 10, Singapore, Singapore.
Zlot, R. and Bosse, M. (2012). Efficient Large-Scale 3D Mobile Mapping and Surface Reconstruction of an Underground Mine. Journal of Field Robotics. 31 (5): 758-779.




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