• DocumentCode
    1836349
  • Title

    Multi-agent based automation platform for distributed industrial systems

  • Author

    Wu, Henry

  • Author_Institution
    Liverpool Univ., UK
  • fYear
    2005
  • fDate
    38482
  • Firstpage
    19
  • Lastpage
    26
  • Abstract
    Due to the complexity of modern distributed industrial systems, a conventional automation system is not capable of providing sufficient information management an control with high-level intelligent approaches, as achieving these functionalities requires the support of comprehensive data management an coordination between system devices and homogenous information. This paper proposes a multiagent based automation platform in which computer networking and intelligent agent technologies are applied to distributed industrial systems, and presents a hardware and software architecture that implements this platform. The open architecture based on multi-agent systems is developed to allow the implementation of diverse talks of distributed automation systems and to permit greater configurability than can be obtained from a traditional automation system. To evaluate our proposed architecture, this paper presents a case study of the integration of information management, condition monitoring and control for power system substations, the results of the case study have been successfully obtained from the e-Automation Laboratory at the University of Liverpool, UK.
  • Keywords
    computer aided manufacturing; control engineering computing; distributed control; industrial control; information management; multi-agent systems; production engineering computing; comprehensive data management; computer networking; condition monitoring; distributed industrial systems; hardware architecture; homogenous information; information management; intelligent agent technologies; multi-agent based automation platform; power system substations control; software architecture;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Autonomous Agents in Control, 2005. The IEE Seminar on (Ref. No. 2005/10986)
  • ISSN
    0537-9989
  • Print_ISBN
    0-86341-496-6
  • Type

    conf

  • DOI
    10.1049/ic:20050179
  • Filename
    1499801