门机无人作业数字孪生三维监控系统研究
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1.燕山大学电气工程学院秦皇岛066004;2.燕山大学智能控制系统与智能装备教育部工程研究中心秦皇岛066004

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TP391;TN249

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国家自然科学基金联合基金重点项目(U22A2050)、广西科技重大专项项目(桂科AA22067064)、河北省自然科学基金重点项目(F2024203051)、河北省高等教育科学研究项目(CYZD202505)、河北省重大科技支持计划项目(242G1802Z)资助


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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    摘要:

    提出的系统致力于解决港口门座式起重机在大场景作业中面临的全视角监控难题。鉴于传统监控系统常常无法全面覆盖复杂的港口环境,特别是在满足门座式起重机和散货料场的全方位监控需求方面存在明显不足。为此,系统采用自研的视觉雷达融合系统,结合Unity3D和三维实时彩色点云,提出基于实时激光点云和门座式起重机运行数据驱动的港区散货料场和门座式起重机作业数字孪生映射方法,通过实时采集和处理激光点云数据,结合门座式起重机的运行状态信息,精确模拟并呈现出港口散货料场的实时情况和门座式起重机作业的工作状态。此外,还实现了港区散货料场的全方位三维可视化,支持用户进行动态漫游和实时视角切换,系统还具备强大的设备信息管理功能,能够实时监控各个门座式起重机的工作状态,并支持单机和多机作业实时监控,从而提高港口作业的效率和安全性。实验结果表明,系统运行帧数相比于直连数据库的三维监控系统,平均综合效率提升约13.88%,所开发的系统具有良好的实时性,可以真实再现大规模港口散货料场的无人作业场景,为数字港口的管理奠定了基础。

    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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杨玉林,丁伟利,张晓雨,向天鹤.门机无人作业数字孪生三维监控系统研究[J].电子测量与仪器学报,2025,39(4):172-180

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  • 在线发布日期: 2025-06-10
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