Abstract: Blasting operation in open-pit mines requires uniform blasting fragmentation of ore and rock. Evaluation and application of blastability of rock mass is an important basis for optimizing blasting design and improving blasting effect. Based on the inductive analysis of the main factors affecting the blastability of rock mass,cluster analysis and correlation analysis are carried out on the physical and mechanical characteristic parameters and joint geometric parameters of ore and rock in 15 blasting areas of Sijiaying Iron Mine. The results show that tensile strength,rock density,integrity coefficient of rock mass and average distance of joint,can be used to evaluate the blastability of rock mass. At the same time,BP neural network optimized by ant colony optimization is used to give weight to the evaluation index,an appraisement method for zoning of blasting compliance of rocks in open-pit mine based on weighted clustering analysis is proposed. Then,using the information of boreholes and the geological model,the inverse distance interpolation method is adopted to get a block model of zoning of blasting compliance of ore and rock. The mathematical model of unit explosive consumption based on blasting zoning index is established by using multiple regression analysis method,which can provide reference for the subsequent blasting design of ore and rock in blasting areas under similar working conditions and is of guidance significance to the optimization of blasting design.

Key words: mine blasting,zoning of blasting compliance,weighted clustering analysis,block model,unit consumption of explosive