Abstract: Aiming at the issues that the production efficiency and safety are restricted due to low automation level,data silos,and frequent failures of the main coal flow transportation system in Gaozhuang Coal Industry,a set of intelligent management and control system is designed and implemented based on technologies of automatic control,intelligent sensing,artificial intelligence,Internet of Things,and digital twin.The system adopts a "combination of downhole control and ground centralized control" architecture,integrating track inspection robots,conveyor belt longitudinal tear detection Robot,intelligent coal flow speed regulation system,and AI video recognition analysis modules.Through digital twin technology,equipment panoramic monitoring and centralized management are achieved.Experiments have shown that the system can increase conveying efficiency by about 20%,reduce energy consumption by 15%,extend equipment lifespan by 20% to 30%,reduce inspection workload by over 70%,and significantly reduce failure rates.The system optimizes the operation of the conveyor through intelligent speed regulation,dynamically matches the coal flow rate,improves energy utilization efficiency,and comprehensively enhances the safety and reliability of the coal mine’s main coal flow transportation system.