• DocumentCode
    2667148
  • Title

    Research on inversion for blast furnace surface distribution

  • Author

    Qingwen Hou ; Xianzhong Chen ; Zhiwei Xu

  • Author_Institution
    Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    917
  • Lastpage
    922
  • Abstract
    Based on the working principle of FMCW radar and features of rough material surface, a novel surface inversion method is proposed. First, CZT transform is applied to get the spectrum distribution of beat signal. Then, energy center method is used in calculation of center distance. Finally, the center distance and distance distribution are respectively used as the key interpolation points and interpolation constraints in the ultimate surface inversion process. During the simulation, the author uses MATLAB to simulate the target beat signal under different incident conditions to study the influencing factors of spectrum distribution. Experiment of the coke bulk solid measurement shows that the interpolation surface and the actual coke material surface are basically the same.
  • Keywords
    CW radar; FM radar; blast furnaces; coke; interpolation; production engineering computing; signal processing; transforms; CZT transform; FMCW radar; MATLAB; beat signal; blast furnace surface distribution; center distance; coke bulk solid measurement; coke material surface; distance distribution; energy center method; interpolation constraints; interpolation surface; key interpolation points; rough material surface; spectrum distribution; surface inversion method; ultimate surface inversion process; Radar; Radar antennas; Rough surfaces; Scattering; Surface roughness; Surface treatment; Surface waves; FMCW radar; blast furnaces; burden surface; interpolation; inversion; time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244143
  • Filename
    6244143