• DocumentCode
    2601667
  • Title

    High accuracy inertial navigation for underground mining machinery

  • Author

    Dunn, Mark T. ; Thompson, Jeremy P. ; Reid, Peter B. ; Reid, David C.

  • Author_Institution
    CSIRO Earth Sci. & Resource Eng., Queensland Centre for Adv. Technol., Pullenvale, QLD, Australia
  • fYear
    2012
  • fDate
    20-24 Aug. 2012
  • Firstpage
    1179
  • Lastpage
    1183
  • Abstract
    The underground mining industry is constantly driven by the need to improve mining productivity, increase personnel safety, and secure environmental sustainability. Mining automation technology has shown significant potential to meet these needs by providing more accurate mining methods, incorporating sensing to optimally control equipment and increasing personnel safety through remote process operation. This paper details research being undertaken by CSIRO Earth Science and Resource Engineering (CESRE) Mining Technology group to advance the automation capability of underground coal mining equipment by developing new inertial navigation solutions. The research specifically targets a navigation solution for roadway development and the results obtained so far demonstrate that the system can provide the navigation accuracy required for the production environment.
  • Keywords
    coal; inertial navigation; mining equipment; occupational safety; optimal control; personnel; productivity; telerobotics; underground equipment; CESRE Mining Technology group; CSIRO Earth Science and Resource Engineering; high accuracy inertial navigation; mining automation technology; mining methods; mining productivity improvement; optimal equipment control; personnel safety; production environment; remote process operation; roadway development; secure environmental sustainability; underground coal mining equipment; underground mining industry; underground mining machinery; Accuracy; Automation; Global Positioning System; Inertial navigation; Sensors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2161-8070
  • Print_ISBN
    978-1-4673-0429-0
  • Type

    conf

  • DOI
    10.1109/CoASE.2012.6386402
  • Filename
    6386402