Setting a multi-criteria problem to analyze and forecast particle size distribution of blasted rock

Abstract

Changes in the mining and geological characteristics of solid mineral deposits, a sharp decrease in the ore grades in many ore fields as well as the intensification of surface mining methods define the need to develop scientific, theoretical and methodological foundations for improving the efficiency of the interaction between the technological elements within the Mine-to-Mill’ (M2M) concept, which can be adapted to each specific mining operation and will help to streamline the operating costs. Drilling and blasting is the main technological operation to break the rock off the rock mass and crush it when mining solid minerals. The main purpose of drilling and blasting operations is to create rock material that has the necessary properties for smooth and efficient handling by mining equipment at the subsequent stages of the field development with due account of the technical and economic costs. Formation of the muck pile affects the subsequent technological processes of the mining operation, and consequently, the cost of the end product of the mining company. The purpose of the study was to develop a mathematical model for forecasting and analyzing the particle size distribution of rocks in the muck pile within the ‘Mine-to-Mill’ system. Methods used. The study is based on a comprehensive approach, which includes scientific analysis and generalization of previously published research results. From the methodological point of view, the study was based on the system analysis methods, as well as on the use of information technologies. © 2023, Scientific and Industrial company 'Gemos Ltd.'. All rights reserved.