Abstract: Aiming at the problem of mining-induced stress superposition interference and grade fluctuation caused by concurrent mining of multiple ore bodies in deep high-stress environment,a set of coordinated mining control methods for deep mines with multi-constrained linear programming and space-time optimization of mining-induced stress field are proposed.First ly,a dynamic optimization model integrating three-level constraints of mining section,middle section and stope is constructed, and the model construction principle and solution strategy of nonlinear target linear transformation,two-way constraint decompo sition and dynamic calibration of working conditions are clarified.Then,taking the non-pillar sublevel caving stope in the -570 m middle section of an iron mine as the engineering background,the engineering application steps of the model and the entropy weight-TOPSIS multi-criteria decision analysis method are clarified,and the quantitative optimization of the mining scheme is completed.Finally,through numerical simulation,the evolution law of ground pressure and the mechanism of stress field recon struction under different mining sequences are revealed,and the safety control effect of the model optimization scheme is demonstrated.The results show that the model reduces the comprehensive grade control error of the whole mine to ±0.02%.At the same time,the optimized balanced propulsion and staggered peak mining strategy suppresses the mining stress concentration, reduces the maximum deformation of the surrounding rock of the stope from 0.258 1 m to 0.200 3 m,and guides the roof de formation energy to be released gently.The research results have formed a control system of mathematical programming optimi zation and mechanical simulation verification,which provides theoretical support and decision-making basis for the efficient and safe mining of deep complex multi-ore bodies.

Key words: collaborative mining,linear programming,space-time evolution regulation,stability analysis,numerical simu lation