Nowadays,the development of digitization and artificial intelligence has penetrated all walks of life.The emergence of "digital blasting" in the blasting industry promotes the development of blasting towards digitization,refinement and visualization.The application of intelligent technology in the field of engineering blasting have become a development trend.In order to improve blasting effect and reduce the blasting cost,a new method for calculating explosive charge is proposed.By training the SVM model to predict the strata and embedding the intelligent drilling rig system,the accurate positioning and real-time identification of lithologic parameters are obtained. A borehole database is established to store and manage the borehole lithology distribution data obtained from the intelligent drilling rig.These data can be visually displayed by generating two-dimensional and three-dimensional histograms.According to Delaunay′s criterion,the polygon of hole location and blasting range is triangulated,and the affected area of each hole is calculated.Then,according to the lithologic stratification and affected area of each hole,the charge quantity required by each rock layer of each hole is calculated,and the charge quantity required by each rock layer is accumulated to obtain the total charge quantity required by each hole.The charge calculation based on intelligent lithology identification is realized by C++ programming,which has been applied in the 918 section of an open-pit coal mine in Xilinhot,Inner Mongolia.