In the context of underground mining in metal mines，perforated blasting constitutes a critical component of the operational process.Currently，the design of fan-shaped medium-deep hole blasting charges involves considerable repetitive tasks.Manual interactive adjustments merely satisfy the fundamental design requirements，resulting in significant subjective variability.Both domestic and international scholars have conducted extensive research on the design methodologies for medium-deep hole charges in underground mining.Regarding the application of the empirical rule formula，experts have undertaken comprehensive research on the ring blasting load spacing in underground stopes，optimizing drilling and blasting parameters to furnish a scientific foundation for blasting operations in subterranean mines.In the context of CAD auxiliary tools，certain scholars have employed Visual Lisp and other programming tools to enhance CAD’s secondary development capabilities，thereby enabling the automated design of sector medium-deep hole charges.In the domain of numerical simulation，the parameters are established through an integration of blasting tests and LS-DYNA numerical simulation analysis，leading to the effective optimization of design parameters for fan-shaped medium-deep hole blasting.Regarding intelligent algorithm research，enhanced extreme learning machine （ELM），backpropagation（BP） neural networks，and other algorithms are employed to construct a blasting design model，facilitating the intelligent determination of blasting parameters and optimization of charge. Nonetheless，these methodologies are relatively simplistic and donot incorporate the principles of systems engineering.Therefore，this paper investigated the integration of system engineering optimization methods with the application of blasting design engineering，specifically focusing on the parametric design methodology for medium-deep hole charges in the context of underground mining.The overarching approach is as follows：By considering the spatial constraints of the blasting boundary and the requisite blasting parameters，a mathematical model was formulated based on the principles of parametric charge design.This model was subsequently solved using operations research techniques to derive the optimal charge design.The research findings were developed and implemented using a digital mining software platform.The formulated charging optimization model was applied to the charging design of medium-deep boreholes in an underground mining context.The results indicate that the proportion of ore fragments in the field，when utilizing the parameterized charging design，is significantly lower compared to the man-machine interactive charging design under analogous geological and charging conditions.The proposed method for optimizing the charging design of fan-shaped medium-deep holes in underground mines significantly reduces the workload of design technicians and maximizes the uniformity of energy distribution among the holes. This approach effectively enhances the quality of blasting operations.

中国矿业报）

http://www.goldsci.ac.cn/article/2024/1005-2518/1005-2518-2024-32-6-1107.shtml