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The design of blasting parameters for open-pit mines mainly relies on empirical analysis, which leads to problems such as poor blasting effect and high randomness. Conduct research on intelligent optimisation schemes for open-pit mine bench blasting parameters by combining mathematical analysis and numerical simulation methods. The specific research process mainly includes the following aspects. Based on rock mechanics experiments, obtain the mechanical parameters of ore and rock in the blasting area on-site. Constructing a prediction model for open-pit mine bench blasting and an intelligent optimisation scheme for blasting parameters based on the KUZ-RAM model. Considering the actual production of open-pit mines, and combining LS-DYNA to establish a detailed blasting simulation, a basic 3D model is used. Establish a simulation parameter scheme suitable for open-pit mine bench blasting to conduct numerical simulation research. Comparing the numerical simulation results with the actual blasting effect on site, with the goal of mining blasting fragmentation and blasting vibration, the optimisation plan for open-pit mining bench blasting parameters is verified. Practical application was carried out in Qidashan open-pit mine, a computer vision and blasting vibration analysis system was used to collect and analyse on-site data. The production operation was carried out according to the optimised hole network parameters, which significantly improved the blasting effect of Qidashan open-pit mine. The annual average cost of drilling and pyrotechnic equipment was saved by about 11.85 million yuan, verifying the feasibility and effectiveness of the research plan.