• DocumentCode
    1469879
  • Title

    A Slice-Based Data Acquisition System for Long Duration Discharges of EAST

  • Author

    Ying, Liu ; Jiarong, Luo ; Guiming, Li

  • Author_Institution
    Coll. of Phys. Sci. & & Technol., ShenZhen Univ., Shenzhen, China
  • Volume
    57
  • Issue
    2
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    679
  • Lastpage
    682
  • Abstract
    Pulse of up to 1000 seconds with 0.5 MA plasma current is the main objective of EAST (Experimental Advanced Superconducting Tokamak) [S. Wu, ¿An Overview of the EAST Project,¿ Fusion Eng. Des., vol. 82, pp. 463-471, Oct. 2007] discharge experiments. For long duration discharge, real-time diagnostics is indispensable. To meet the requirement, a slice-based data acquisition system for long duration discharge has been designed and developed. This paper gives an overview of this system. The slice-based data acquisition system is based on time slice mechanism, which divides continuous experimental data into slices. And the slice data are transferred, stored, published in real-time during collecting. Moreover, the introduction of multi-stage storage and time window greatly enhanced the speed of mass data access. The slice-based data acquisition system has been reliably operated in the EAST experimental campaigns.
  • Keywords
    Tokamak devices; data acquisition; fusion reactors; information retrieval; nuclear engineering computing; EAST project; current 0.5 MA; experimental advanced superconducting tokamak; fusion reactors; long duration discharges; mass data access; multi-stage storage; real-time diagnostics; slice-based data acquisition system; time 1000 s; time slice mechanism; time window; Data acquisition; Data visualization; Information retrieval; Network servers; Nuclear and plasma sciences; Physics; Plasma diagnostics; Real time systems; Sampling methods; Tokamaks; Data acquisition; fusion reactors;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2009.2036350
  • Filename
    5446512