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We implement 3D digital twin monitoring systems tailored for the port industry. These systems integrate GIS geographic data, equipment control system data, and business management system data to enable visualized, intelligent management of the entire container terminal operation chain.
The system's main functions are: 1) Coordinating ship and equipment schedules using AI algorithms to optimize the paths of quay cranes, container trucks, and yard cranes, which helps lower empty runs; 2) Monitoring equipment status and performing predictive maintenance by collecting real-time vibration and temperature data from quay crane lifting mechanisms and yard crane traveling parts to forecast failure risks; and 3) Optimizing yard space by simulating various stacking strategies to enhance container storage density.