Research on digital twin 3D monitoring system for unmanned operation of port portal cranes
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1.School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China; 2.Engineering Research Center of Intelligent Control System and Intelligent Equipment, Ministry of Education of Yanshan University, Qinhuangdao 066004, China

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TP391;TN249

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    Abstract:

    The proposed system is committed to solving the full-view monitoring problem faced by port portal cranes in large-scale operations. Considering that traditional monitoring systems often fail to adequately cover the complexities of port environments, there are significant shortcomings in addressing the comprehensive monitoring needs of portal cranes and bulk cargo yards. To achieve this goal, the proposed system utilizes a self-developed visual radar fusion system in conjunction with Unity3D and three-dimensional real-time color point clouds. It introduces a digital twin mapping method for bulk cargo yards and portal crane operations within the port area, driven by real-time laser point clouds and operational data from the portal crane. This method accurately simulates and presents the real-time conditions of the port’s bulk cargo yard and the operational status of the portal crane by collecting and processing laser point cloud data and crane operational information in real-time. Additionally, the system achieves a comprehensive three-dimensional visualization of the bulk cargo yard in the port area. This capability allows users to dynamically explore and switch real-time perspectives. The system also includes a robust equipment information management function capable of real-time monitoring the operational status of each portal crane. It supports real-time monitoring of both single-machine and multi-machine operations, thereby enhancing the efficiency and safety of port operations. The experimental results indicate that the system’s overall efficiency is improved by approximately 13.88% compared to the 3D monitoring system that is directly connected to the database. The developed system exhibits excellent real-time performance, accurately reproducing unmanned operations in large-scale port bulk cargo yards, thereby laying a solid foundation for digital port management.

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  • Received:
  • Revised:
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  • Online: June 10,2025
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