Abstract: Through the collaborative optimization of mining sequence by three-dimensional geological modeling and dy namic programming algorithm,a multi-level space design decision model for open-pit block mining is constructed.Based on the spatial heterogeneity of ore bodies,a three-level zoning framework of ′gion-block-strip′ atively proposed:the mining units are divided according to the geological structure at the regional level,the operation units are subdivided according to the minerali zation continuity at the block level,and the advancing direction and size are optimized at the strip level.The model takes the maximization of net present value as the objective function,and uses heuristic algorithm to solve the global optimal solution.An empirical study of an open-pit mine in Inner Mongolia through the 3DMine platform shows that compared with the traditional o verall mining,the partition timing optimization scheme significantly improves the net present value by 7.0%,and the amount of waste rock stripping is reduced by 22.5%.The core mechanism is to isolate the influence of ore body variation by spatial parti tion,and to realize the synergistic gain of priority mining in high-grade rare earth enrichment area and development delay in deep high-cost area by time series optimization.The ′region-block-strip′ three-level partition architecture net present value maximization optimization model provides a ′pace-economy-time′ three-dimensional collaborative optimization paradigm for green intelligent mining of open-pit mines.

Key words: open-pit mine,dynamic planning,net present value optimization,timing optimization,numerical simulation