• DocumentCode
    2942916
  • Title

    An intelligent virtual multi-axis machine tool remote service system

  • Author

    Kao, Yung-Chou ; Chen, Mau-Sheng

  • Author_Institution
    Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
  • fYear
    2012
  • fDate
    11-14 July 2012
  • Firstpage
    632
  • Lastpage
    637
  • Abstract
    The five-axis machining technology applications in the industry is very complex technology, and have urgent needs, this research is to establish five-axis machining remote service system. This paper focuses on the development of a networked distributed intelligent software agent based remote service system environment to provide multi-axis machine tool services remotely. The software agent technology has been adopted and integrated successfully in this research for the implementation of a virtual multi-axis machine tool remote servicing system. Several domain-specific ontologies have been developed, integrated and realized in this development. Distributed agents could communicate through the defined performatives underlying the Knowledge Query Manipulation Language (KQML) and FIPA ACL standard protocols. The mobile agent service environment is also achievable. Future research is expected to provide clients with a cloud computing based five-axis machining remote service system.
  • Keywords
    intelligent control; machine tools; mobile agents; multi-agent systems; ontologies (artificial intelligence); query languages; telecontrol; virtual machining; FIPA ACL standard protocol; KQML; cloud computing; domain-specific ontology; intelligent virtual multiaxis machine tool; knowledge query manipulation language; machining remote service system; mobile agent service; networked distributed intelligent software agent; virtual machining technology; Assembly; Machine tools; Ontologies; Virtual machining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
  • Conference_Location
    Kachsiung
  • ISSN
    2159-6247
  • Print_ISBN
    978-1-4673-2575-2
  • Type

    conf

  • DOI
    10.1109/AIM.2012.6265920
  • Filename
    6265920