The accurate determination of postblast ore boundaries can significantly help to control ore loss and dilution in opencast mines. Determining the boundaries is difficult using methods other than direct and expensive blast-induced rock movement monitoring, so many mines directly use the preblast ore boundary to guide the shovel. A new postblast ore boundary determination method using a soft computing technique and stochastic modelling method is proposed. Based on a case study and performance comparison, a high-precision hybrid metaheuristic model combined with the sine cosine algorithm and random forest technique (SCA-RF) was developed and used in a Monte Carlo simulation to analyse the probability distribution and parameter sensitivity. Mining engineers can obtain a more accurate postblast ore boundary by moving the preblast ore boundary toward the free face by a certain distance after considering the probability distribution of blast-induced rock movement, which is significantly better than using the preblast ore boundary.

准确确定爆破后矿石边界可以极大地帮助控制露天矿的矿石损失和稀释。除了直接且昂贵的爆破岩运动监测之外，很难使用其他方法确定边界，因此许多矿山直接使用爆破前矿石边界来引导铲子。提出了一种利用软计算技术和随机建模方法确定爆炸后矿石边界的新方法。基于案例研究和性能比较，开发了一种结合正弦余弦算法和随机森林技术（SCA-RF）的高精度混合元启发式模型，并将其用于蒙特卡罗模拟，以分析概率分布和参数敏感性。