• DocumentCode
    2117574
  • Title

    Visualization Modeling of Mine Roadway Based on Visual C#

  • Author

    Shi, Fenghua ; Li, Xufeng

  • Author_Institution
    Coll. of Rural & Urban Constr., Agric. Univ. of Hebei, Baoding
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    669
  • Lastpage
    673
  • Abstract
    As the most important spatial feature of coal mine, roadway takes an important part in construction of Digital Mine (DM). If the roadway can be modeled in 3D visualization, people will get its 3D graphic and know the engineering change accurately and in time, not only these, it also helpful for showing the spatial relationships of excavation engineering and orebody, wall rock even the surface diggings. So, 3D visualization of roadway can improve the level of management and efficiency of mine and also good for mine design of safety and environmental. Take the roadway data of Dongtan mine of Shandong as example, this paper mainly researches the data processing - arithmetic, modeling method and visualization analyses of roadway based on Visual C# and DirectX 9.0 C. In detail is building every regular roadway according to the key points of it to realize modeling the 3D roadway through the process of pointrarrlinerarrfacerarrsingle roadwayrarrmulti-roadway. And then combined with the technology of texture mapping and light setting, the author solved some problems of joining the roadway at the turning points and doing some spatial analyses.
  • Keywords
    coal; data visualisation; mining industry; road building; visual programming; 3D graphic; 3D roadway visualization; DirectX 9.0 C; Visual C#; coal mine visualization modeling; data processing; excavation engineering; orebody; roadway building; spatial relationship; surface digging; wall rock; 3D visualization; Virtual C#; modeling; roadway;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering, 2008. ISISE '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-2727-4
  • Type

    conf

  • DOI
    10.1109/ISISE.2008.32
  • Filename
    4732481