• DocumentCode
    2047435
  • Title

    UML Design of Power Automation Human Machine Interface System Based on SVG and AJAX

  • Author

    Qu Zhijian ; Liu Mingguang ; Liu Li ; He Zhiqing ; Yang Gang

  • Author_Institution
    Sch. of Electr. Eng., Beijing Jiaotong Univ., Beijing
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to solve main technology and application problems of human machine interface in power automation system, this paper studies scalable vector graphics and AJAX engine and designs new power automation monitor human machine interface system based on Web2.0 network architecture. Interactive cases, tele-signal process sequence, tele-metering collaborative process, tele-control interactive process of supervisory control and data acquisition system has been designed using unified modeling language and incremental iteration model, activity diagram of alarm function has been completed. At last, this paper completes architecture of this system, and achieves web remote terminal system that has been actually put into use, and resolves confusion of graphic format and real-time data inefficient of monitoring system.
  • Keywords
    Java; Unified Modeling Language; graphical user interfaces; human computer interaction; interactive systems; power engineering computing; AJAX engine; UML; Web2.0 network architecture; data acquisition system; human machine interface system; incremental iteration model; power automation system; scalable vector graphics; supervisory control; telecontrol interactive process; telemetering collaborative process; telesignal process sequence; unified modeling language; Collaboration; Computerized monitoring; Condition monitoring; Design automation; Engines; Graphics; Humans; Power system modeling; SCADA systems; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5073227
  • Filename
    5073227