Abstract: Aiming at the structural contradictions of “three highs and three lows”( high investment, high technology, high complexity, low return, low adaptation and low practicality ) such as serious data island, rigid control logic and multi-system collaborative failure faced by coal mine storage and transportation center, an intelligent management and control system based on digital twin is studied with Shengli Energy Storage and Transportation Center as the engineering background. The system constructs a five-layer technical system of “cloud-edge-end”collaboration, and uses the AVEVA industrial Internet platform to build a soft-hard decoupling control base, which realizes the upward concentration and flexible arrangement of control rights. At the technical level, a space-time dual-driven virtual-real fusion modeling method is proposed, and a full-factor digital twin with millimeter-level accuracy is constructed. A multi-dimensional collaborative control model was developed, including autonomous switching of production mode based on deep reinforcement learning, precise coal blending driven by genetic algorithm and linear programming, and safety linkage of ventilation and prevention based on CFD simulation. In particular, the intelligent inspection robot is designed, and the non-blind zone monitoring and closed-loop control are realized by combining the multi-modal sensing technology. The field application shows that after the deployment of the system, the downtime of equipment failure is shortened by 42% year-on-year, the investment of human resources is reduced by more than 50%, the annual electricity cost is saved by about 12%, the comprehensive production efficiency is increased by 2.5%, and the annual coal production is increased by 750,000 tons. The application of this system has promoted the leap from "human control" to "numerical control" in the storage and transportation center, and provided a technical paradigm of "virtual reality symbiosis and human-machine integration" for the intelligent upgrading of the coal industry.