• DocumentCode
    2016257
  • Title

    Visualization of an agent-based batch process system

  • Author

    Rodler, M. ; Melik-Merkumians, Martin ; Lepuschitz, W. ; Merdan, M.

  • Author_Institution
    Autom. & Control Inst., Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2013
  • fDate
    25-28 Feb. 2013
  • Firstpage
    1422
  • Lastpage
    1427
  • Abstract
    Current batch process systems have a limited capability concerning agile adaptation in a dynamic environment. Distributed intelligent control systems based on agent technologies are seen as a promising approach to handle the dynamics in large complex systems. However, even though regarded as a promising approach, its wide application in industry is still missing. Lack of trust in the idea of delegating tasks to autonomous agents is recognized as one of the main reasons for this. This paper presents a visualisation tool for an agent-based batch process system able to offer the human user the complete overview of the agents´ activities as well as a possibility to supervise their actions through an adequate Human Machine Interface. The visualization is also compatible with the standard ISA-88. The system is currently being tested and evaluated in the Odo Struger Laboratory at the Automation and Control Institute.
  • Keywords
    batch processing (industrial); data visualisation; distributed control; human computer interaction; intelligent control; large-scale systems; multi-agent systems; process control; production engineering computing; user interfaces; Automation and Control Institute; ISA-88 standard; Odo Struger Laboratory; agent-based batch process system visualization; agile adaptation; autonomous agents; distributed intelligent control systems; dynamic environment; human machine interface; large complex system dynamics handling; visualisation tool; Automation; Batch production systems; Computer architecture; Data models; Data visualization; Industries; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2013 IEEE International Conference on
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4673-4567-5
  • Electronic_ISBN
    978-1-4673-4568-2
  • Type

    conf

  • DOI
    10.1109/ICIT.2013.6505880
  • Filename
    6505880