Design of Cargo Sorting and Transmission Scheme based on Digital Twin

Technological advancements are driving the transformation of tra-ditional warehousing logistics towards automation, with sorting be-ing the core of system optimization. To address the challenges of long cycles and low efficiency caused by reliance on physical equipment debugging in current sorting projects, this study propos-es a digital sorting and conveying solution based on digital twin technology. For real-time goods arrival sequences, we develop a data-driven virtual modeling method that generates characteristic material profiles, achieving high-fidelity cargo mapping and dy-namically configurable routing strategies. Prior to physical system deployment, virtual simulation verifies the feasibility and stability of conveying units, with iterative optimization achieving an average 99.26 peaking at 100 cargo transmission success rate. Through parameter optimization experiments, the optimal configuration is determined as 5 conveying units with vn=0.6m s speed, enabling ef-ficient coordination among supply rate, conveyor speed, and robot-ic arm sorting capacity. This configuration balances system stability and space utilization, delivering 59.1s average waiting time and 555.2 units hour throughput. Scheme is fed back to the real scenario before the actual equipment test.