• DocumentCode
    1931679
  • Title

    Design of High Speed Cross Section Measurement System and its Real-Time Performance Analysis

  • Author

    Dong, Feng ; Wang, Bin-Bin ; Tan, Chao

  • Author_Institution
    Tianjin Univ., Tianjin
  • Volume
    4
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    2345
  • Lastpage
    2350
  • Abstract
    This paper presents the development of a new cross section measurement system for on-line measurement of two-phase flows. To improve the real-time performance of the cross section measurement system, the parallel data acquisition system is designed, which has 16 channels of amplifiers, 16 channels of demodulators and filters, and AD card with 16 channels, can get the boundary voltage from 16 electrodes synchronously. Compared with the parallel data acquisition system, the former systems need to get the boundary voltage one by one, by this system the real-time performance is improved obviously, this system costs only 1/13 of the former system processing time. Several units of the system are analyzed, the principle of the multiplication demodulation was analyzed, especially, the low pass filter was analyzed, which costs most time of the data acquisition processing. The system performance is analyzed, a data acquisition speed at approximately 1000 dual-frames per second can be achieved.
  • Keywords
    data acquisition; flow visualisation; image reconstruction; two-phase flow; AD card; amplifiers; boundary voltage; demodulators; electrodes; high speed cross section measurement system; low pass filter; multiplication demodulation; parallel data acquisition system; real-time performance analysis; two-phase flows; Costs; Data acquisition; Demodulation; Electrodes; Low pass filters; Performance analysis; Real time systems; System performance; Velocity measurement; Voltage; Cross section measurement system; Low pass filters; Multiplication demodulation; Parallel data acquisition system; Real-time performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370537
  • Filename
    4370537