SciELO - Scientific Electronic Library Online

 
vol.120 issue1The role of rock mass heterogeneity and buckling mechanisms in excavation performance in foliated ground at Westwood Mine, QuebecAnisotropic rock mass behaviour in high-displacement ground at CSA mine author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

Related links

  • On index processCited by Google
  • On index processSimilars in Google

Share


Journal of the Southern African Institute of Mining and Metallurgy

On-line version ISSN 2411-9717
Print version ISSN 2225-6253

Abstract

JONES, E. et al. Applications for the Hovermap autonomous drone system in underground mining operations. J. S. Afr. Inst. Min. Metall. [online]. 2020, vol.120, n.1, pp.49-56. ISSN 2411-9717.  http://dx.doi.org/10.17159/2411-9717/862/2020.

The development and application of the Hovermap autonomous flight system are discussed in relation to underground mining, with examples from its early adoption. The current performance of the system and subsequent data interpretation suggest some scenarios in which Hovermap deployment is appropriate. The examples discussed focus principally on improving the detail of observational data from inaccessible areas commonly encountered in underground mines. These insights can then be used in design review and management processes. Recent and future developments in the hardware, software platforms, and the associated data analytics are outlined.

Keywords : LiDAR; automation; drone; underground mining.

        · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License