• DocumentCode
    3044139
  • Title

    A two-stage distributed architecture designed for DAQ of thousands-channel physical experiment

  • Author

    Kezhu Song ; Ping Cao ; Junfeng Yang ; Guiping Cao

  • Author_Institution
    Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2012
  • fDate
    9-15 June 2012
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    This manuscript presents a two-stage distributed architecture for DAQ of thousands-channel large-area wire sensor network for physical experiment. The architecture can be divided into two units, the upper unit is for the data collection and storage, also including main control, quality monitoring, and data recording, the lower unit is for data sampling and transmission. The most prominent characters of this architecture are real-time capability, high precision synchronous data sampling, and easy scalable. We have built a prototype architecture for 16 cables (one cable containing 1920 channels) with the associated hardware modules, and tested the sampling synchronization, data transmitting and storage ability by using the cable simulator developed by ourselves. Test result shows that the sampling synchronization error between two channels with 100m apart can achieve 1ns. The tested maximum data rate from a cable (1920 channels) is 11.52MB/s, thus the total data rate is 1.47456Gbps for 16 cables (30720 channels).
  • Keywords
    data acquisition; high energy physics instrumentation computing; synchronisation; DAQ; associated hardware modules; cable simulator; data collection; data recording; data storage; quality monitoring; sampling synchronization error; synchronous data sampling; thousands-channel large-area wire sensor network; two-stage distributed architecture; Communication cables; Computer architecture; Data acquisition; Hardware; Real-time systems; Relays; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real Time Conference (RT), 2012 18th IEEE-NPSS
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-1-4673-1082-6
  • Type

    conf

  • DOI
    10.1109/RTC.2012.6418372
  • Filename
    6418372