• DocumentCode
    2953531
  • Title

    Why the mining industry needs a reference architecture for automation initiatives

  • Author

    Dudley, John J. ; McAree, P. Ross

  • Author_Institution
    Sch. of Mech. & Min. Eng., Univ. of Queensland, St. Lucia, QLD, Australia
  • fYear
    2013
  • fDate
    9-12 July 2013
  • Firstpage
    1792
  • Lastpage
    1797
  • Abstract
    Automation is increasingly seen by the mining industry as a lever to reduce costs and improve safety. The deployment and integration of technology in mining is today usually done by adopting bespoke solutions where opportunities are identified. There is limited attention given to the broader needs that might be relevant in a complete mine-wide automation solution. The missing overarching plan for integrating and deploying autonomous systems is what is referred to in other industries as a reference architecture. This paper presents a broad evaluation of the challenge of developing a reference architecture for mining automation. The concept of a reference architecture for mining is first investigated by reviewing analogous efforts undertaken in other industries. These efforts are subsequently evaluated against the unique requirements of the mining industry. A set of generalised mining automation architectural models are presented as an indicative representation of the peculiar challenges that must be confronted by such an artefact. The paper concludes with a summary of the core challenges identified around creating a reference architecture for mining automation and suggestions on how these challenges might be addressed.
  • Keywords
    automation; mining; autonomous systems; bespoke solutions; mine wide automation solution; mining automation architectural models; mining automation initiatives; mining industry; reference architecture; Logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
  • Conference_Location
    Wollongong, NSW
  • ISSN
    2159-6247
  • Print_ISBN
    978-1-4673-5319-9
  • Type

    conf

  • DOI
    10.1109/AIM.2013.6584357
  • Filename
    6584357