• DocumentCode
    3294498
  • Title

    The system research based on JOGL three-dimensional coal quality forecast

  • Author

    Zhang, Xiao-yan ; Cao, Rong

  • Author_Institution
    Comput. Sci. & Technol. Coll., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    4681
  • Lastpage
    4684
  • Abstract
    Coal quality forecast is the core of the coal quality information management system. At present there are lots of graphics based on 3D technology. Because the platform of the coal quality information management system was Eclipse, then the JOGL technology was used for 3D coal quality forecast. The steps of modeling 3D coal quality forecast were presented in the paper: gathering the discrete coal quality forecast information, establishing space coordinates system, utilizing JOGL technology for coal quality forecast space modeling, and smoothing the coal seam by bilinear. Subsequently, the structure of the whole system and the core technologies were introduced, and final system´s interfaces were taken on. The results show that the coal quality information management system is widely approved by users, and the 3D coal quality forecast technology improves the objectivity of coal quality forecast.
  • Keywords
    Java; coal; information management; production engineering computing; quality management; 3D coal quality forecast; 3D technology-based graphics; Eclipse; JOGL three-dimensional coal quality forecast; coal quality information management system; coal seam bilinear smoothing; discrete coal quality forecast information; space coordinate system; space modeling; system research; Coal; Graphics; Information management; Java; Predictive models; Solid modeling; Three dimensional displays; 3D coal quality forecast; JOGL technology; coal quality information management system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5778381
  • Filename
    5778381