基于物理的货轮运动模型在真实航行中验证，精度高且可推广。
Towards Real-World Validation of a Physics-Based Ship Motion Prediction Model
- 构建3D物理动力学模型，融合水动力与环境因素。
- 与实际航行数据对比，轨迹预测误差小，视觉与数值均吻合。
- 适合船舶自主导航、仿真训练与能效优化研究者使用。
航运业致力于可持续未来，需大幅提升运营效率。当前方法通过增强自主性来降低燃油消耗和排放。高效安全的自主航行依赖高保真、适用于真实场景的船舶运动模型。尽管基于物理的船舶运动模型可实现亚秒级精度预测，但其在真实条件下的验证在文献中罕见。本研究提出针对集装箱船的物理驱动3D动力学运动模型，将其预测结果与实际航行数据进行对比。模型通过时间积分模拟船舶运动，并考虑不同环境条件下的水动力特性。采用可视化分析与多种距离度量方法评估预测效果。两种方法均表明，模型预测轨迹与实际航行轨迹高度一致。
原文摘要 · Abstract (English)
The maritime industry aims towards a sustainable future, which requires significant improvements in operational efficiency. Current approaches focus on minimising fuel consumption and emissions through greater autonomy. Efficient and safe autonomous navigation requires high-fidelity ship motion models applicable to real-world conditions. Although physics-based ship motion models can predict ships' motion with sub-second resolution, their validation in real-world conditions is rarely found in the literature. This study presents a physics-based 3D dynamics motion model that is tailored to a container-ship, and compares its predictions against real-world voyages. The model integrates vessel motion over time and accounts for its hydrodynamic behavior under different environmental conditions. The model's predictions are evaluated against real vessel data both visually and using multiple distance measures. Both methodologies demonstrate that the model's predictions align closely with the real-world trajectories of the container-ship.
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