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金属矿山 ›› 2010, Vol. 39 ›› Issue (01): 35-38.

• 采矿工程 • 上一篇    下一篇

金属矿山巷道喷锚支护智能设计的研究与应用

赵阳囤   

  1. 太钢(集团)矿业分公司峨口铁矿
  • 出版日期:2010-01-15 发布日期:2010-11-09

Study and Application of Intelligent Design of the Shotcrete and Bolt Support in Metal Mines' Tunnel

 ZHAO  Yang-Dun   

  1. E'kou Iron Mine of Taiyuan (Group) Mining Company
  • Online:2010-01-15 Published:2010-11-09

摘要: 依据巷道围岩稳定性分类作为喷锚支护的基础数据,研究运用神经网络对地下巷道围岩稳定性进行类别识别,建立改进的BP神经网络(MBP)的围岩稳定性识别模型;把喷锚支护设计的间接类比和整体加固理论与专家系统等人工智能技术相结合,研制了喷锚支护工程设计的智能系统,并运用工程实例验证了本智能系统的正确性。

关键词: 神经网络, 围岩稳定性, 喷锚支护, 智能系统

Abstract: The shotcrete and bolt support in parameter is based on the stability level of surrounding rock. The neural network was adopted to identify the stability of surrounding rock in underground tunnel. And the MBP (modified Back Propagation) model is built for identifying the stability of surrounding rock. In combination with the indirect engineering approximation and integral reinforce theory with the artificial intelligent technology as expert system,the intelligent system for designing of shotcrete and bolt support engineering has been developed and also certified to be correct by a project case. 

Key words: Neural network, Stability of surrounding rock, Shotcrete and bolt support, Intelligent system