• DocumentCode
    1888885
  • Title

    Intelligent Decision and Application Technology Research of Tunnel Blasting Scheme

  • Author

    Yue, Zhongwen ; Ma, Xinming

  • Author_Institution
    Sch. of Mech. & Civil Eng., China Univ. of Min. & Technol., Beijing, Beijing, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Blasting in coal mines decision-making implicates engineering geology, tunnel type, gas preservation, mining conditions and rock mechanics. It is difficult to determine the design parameters of blasting and evaluate blasting effect. To solve these problems, the expert system of tunnel blasting was developed by combining the latest artificial intelligence technology with the expert knowledge in the field of blasting, combining practical experience and theoretical results, and using rule-based and case-based reasoning strategies. An abundant blasting expert knowledge base was established based on academic monograph, industry standard, project cases, theoretical achievements. And an intelligent system inference engine was built based on VC. With intelligent design of blasting, optimized decision and three-view automatic drawing, this expert system has achieved good results in practice engineering application.
  • Keywords
    case-based reasoning; coal; distributed decision making; expert systems; explosions; mining industry; rocks; tunnels; academic monograph; artificial intelligence; automatic drawing; blasting effect; case-based reasoning; coal mine; decision making; expert system; gas preservation; inference engine; intelligent decision; intelligent design; intelligent system; rock mechanics; rule-based reasoning; tunnel blasting scheme; Cognition; Expert systems; Explosives; Fuel processing industries; Knowledge engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5677815
  • Filename
    5677815