Research on the Intelligent Upgrade of Dalian Port and Shipping Logistics Services Empowered by Digital Technology

Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v6i5.4551

Xinxin Gao

School of Liberal Education, Liaoning University of International Business and Economics, Dalian 116052, Liaoning, China

Abstract

This study, centering on the national digital economy strategy and the construction demands of Dalian as the "Northeast Asia Shipping Center", addresses the pain points of efficiency, informatization and market competition in the intelligent upgrade of port and shipping logistics, and constructs a digital technology empowerment system of "data collection - model optimization - scenario implementation - ecological collaboration". The SSA-BP throughput prediction model is proposed. The traditional BP local optimum problem is optimized and solved through the sparrow search algorithm, and the prediction error is controlled within 2%. A path optimization framework integrating LSTM-GNN and DQN was constructed, integrating spatio-temporal data and multi-objective reward functions, achieving a 12.3% reduction in the container sea-rail intermodal transport path, a 18.7% reduction in carbon emissions (exceeding the policy target), and a 27.3% improvement in convergence speed. The technological achievements are applied in scenarios such as intelligent scheduling, predictive maintenance, and carbon footprint tracking, and are dynamically adapted to environmental changes by integrating the Internet of Things and edge computing. Through the establishment of the government-enterprise data sharing mechanism (blockchain + federated learning) and the joint laboratory of the Liaonan Port Cluster, the transformation of port and shipping logistics from single operations to ecological collaboration is promoted. The "Digital Twin Standard for Smart Ports" is formulated to assist Dalian Port in its transformation into a "core node of the global supply chain". The research has verified the enabling effect of digital technology in port and shipping logistics, providing a Chinese solution of "data-driven - algorithmic optimization - scenario implementation - ecological collaboration" for the construction of global smart ports. In the future, it is necessary to deepen multi-objective optimization of intelligent dispatching, promote data sharing between the government and enterprises, accelerate the application of clean energy equipment, and continuously drive the intelligent upgrade of port and shipping logistics.

Keywords

Intelligent port and shipping logistics; digital technology empowerment; and intelligent algorithm optimization

References

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[3] Dai Hongwei, Wang Bowen. Port Cargo Throughput Prediction Based on MPA-BP Neural Network and ARIMA Model [J/OL]. Journal of Shanghai Maritime University,1-12[2025-09-02].

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