Parameter Optimization and Experimental Study of Blasting Excavation in Coal Mine Rock Tunnels
In view of the slow manual efficiency in the excavation project of the 0420 working face in the 60 mining area of a certain coal mine,and in order to solve the high difficulty of excavation and unreasonable blasting methods,based on the design of BP neural network,the blasting parameters were optimized,the model structure was established,and on-site experiments were conducted.The results showed that after the blasting excavation of the working face,the formation of the roadway remained basically intact,with a few local overexcavation phenomena,and the values were controlled within 100 mm,which improved the excavation efficiency and ensured the blasting effect.
coal mine rock roadwaymedium deep hole blastingblasting excavationparameter optimization
NETL
NSTL
万方数据
