Development and application of intelligent design system for smooth blasting of coal mine roadway
LING Tianlong
WU Yu
LI Shenglin
LIANG Shufeng
CHAI Pengwei
Abstract：BP neural network is used to forecast and optimize the blasting parameters of coal mine roadway,and the intelligent design system for smooth blasting was developed by C# language.By analyzing the effect of main factors on smooth blasting,8 parameters,such as Protodrakonov scale of hardness,developmental conditions of joint and fracture,diameter of the blast hole and area of the driving section,etc.were chosen as the input layer parameters.Some learning and training samples were established based on expert research results and practical experiences.The system was applied to design blasting scheme of actual roadway in different mining areas.The results show that the predicted parameters are in good agreement with the actual blasting parameters and also achieve good results in the field test,which means that the system has a certain application value to improve the reliability on parameters designing with smooth blasting for coal mine roadway.
Keywords：coal mine roadwaysmooth blastingartificial neural networkintelligent design
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 29-35 )