Abstract: In order to realize the intelligent and normal operation of the working face, and solve the problems of insufficient model generalization ability under complex geological conditions, the need to improve the collaborative efficiency of multiple equipment and the lack of full-link standardization solutions, an intelligent coal mine mining system based on digital twin and planning coal release collaboration is developed. Through hierarchical decoupling and modularization, the five-layer architecture of the digital twin system and the five functional modules of the planning coal discharge system are established, and internal and external system interactions are established through multi-source data fusion and cross-system protocol interconnection, and a complete interaction system covering data sharing, instruction issuance, intelligent analysis and three-dimensional visual monitoring is built to form a standardized solution. A full-link digital twin system integrating 3D modeling, data fusion, industrial Internet of Things, RBF neural network dynamic game algorithm and other technical means has been established to realize geological exploration, equipment control, process optimization and other functions. An intelligent coal discharge decision-making model with dynamic parameter adaptation as the core is established, and a multi-objective collaborative optimization coal discharge decision-making framework is constructed by integrating coal seam geological parameters, equipment state parameters and process constraint rules, so as to realize the adaptive control of coal discharge process under complex geological conditions and the dynamic collaboration and optimization of data-driven coal discharge process. An intelligent coal discharge remote collaborative operation platform has been developed, which realizes the functions of visualizing the coal discharge process table, coal discharge data statistics and analysis, and distributing coal discharge templates, which improves the accuracy and safety of coal discharge operations and reduces the degree of manual intervention. In the Wudong Coal Mine in Xinjiang, the intelligent mining test of the coal mine was carried out, and the accuracy of the execution of the planned coal discharge system reached 93%, the automation rate of the production system reached 95%, the mining efficiency was increased by 11%, and the equipment failure rate was reduced by 7%, which greatly improved the accuracy and safety of intelligent mining.