• DocumentCode
    3489685
  • Title

    Online data reduction with a DSP-FPGA multiprocessor system

  • Author

    Balzer, M. ; Stripf, H.

  • Author_Institution
    Central Dept. for Data Process. & Electron., Forschungszentrum Karlsruhe, Germany
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    619
  • Abstract
    For the detection of cracks and corrosion in pipelines an ultrasonic measuring system (pig) was developed. During the pipeline inspection there is no communication to the outside world, the accumulated data have to be stored on a mass storage device. The amount of data for a 250 kilometre run is in the range of about 700 TBytes at a rate of 2.8 GByte/s. There exists no robust mass storage device fitting into the pipeline in order to cope with this amount of data. To overcome these difficulties a massive parallel multiprocessing system with ASIC and DSP was developed. Each of the system modules has a computing power of more then 1200 MOPS. By the aid of this system a data reduction and compression of more than a factor 7000 is achieved. The complete computing power is installed in a volume the size of a shoe box
  • Keywords
    acoustic signal processing; application specific integrated circuits; corrosion; crack detection; data acquisition; data reduction; digital signal processing chips; field programmable gate arrays; multiprocessing systems; storage media; ultrasonic materials testing; ultrasonic measurement; 2.8 GByte/s; 250 km; ASIC; DSP; FPGA; crack detection; data compression; mass storage device; massive parallel multiprocessing system; online data reduction; pig; pipeline corrosion; pipeline inspection; ultrasonic measuring system; Corrosion; Data processing; Inspection; Multiprocessing systems; Petroleum; Pipelines; Robustness; Signal processing; Testing; Ultrasonic variables measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and its Applications, Sixth International, Symposium on. 2001
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    0-7803-6703-0
  • Type

    conf

  • DOI
    10.1109/ISSPA.2001.950221
  • Filename
    950221