As intelligent ship technology advances, the importance of intelligent anchor position detection, as one of the key technologies, can ensure the safe anchoring of ships and enhance the efficiency of port operation. At present, most of the anchor position selection and detection algorithms are mainly based on two-dimensional planes, and there is a lack of research on the intelligent detection of safe water depth for ship anchoring in three-dimensional space. It not only restricts the full utilization of anchorage resources but also affects the safety and environmental adaptability of anchoring operations. To address these issues, this study proposes a three-dimension anchor position detection method. Firstly, based on the establishment of a three-dimensional ocean model, the possible anchor positions selected by the ship are simulated using the Monte Carlo algorithm. Secondly, the simulated anchor positions are optimized using a Traversal algorithm to filter out the optimal anchoring position that meets the requirements, the safety distance between each point and the existing ship is calculated, and the anchor position is determined according to the corresponding required safety spacing. Finally, to verify the applicability and effectiveness of the method under different sea conditions and different ship types, this study conducts a series of simulation experiments with 5000 random samples. These experiments compare the demand of anchor position selection for anchoring ships with changing water depths in the case of empty and full load drafts, and visualize the impact of varying water depth parameters on the selection of anchor positions for anchoring ships in various ship types. The outcomes of the experiment indicate that the algorithm’s detection area encompasses the whole anchorage area, ensuring both the anchorage area’s usage rate and the accuracy of anchor position detection. This study demonstrates that the Traversal and Monte Carlo Algorithms effectively improve the accuracy of the selection of anchoring position of the ship, makes full use of the resources of anchorage, and further improves the safety and efficiency of the anchoring operation.

中文翻译：

---

利用 Traversal 和 Monte Carlo 算法的舰船智能三维锚位置检测方法研究


随着智能船舶技术的进步，智能锚位检测作为关键技术之一，可以保证船舶的安全抛锚，提高港口作业效率。目前，大多数锚位选择和检测算法主要基于二维平面，缺乏对三维空间船舶抛锚安全水深智能检测的研究。它不仅限制了锚地资源的充分利用，而且影响了锚泊作业的安全和环境适应性。针对这些问题，该文提出了一种三维锚点位置检测方法。首先，在建立三维海洋模型的基础上，利用蒙特卡洛算法对船舶选择的可能锚位置进行仿真;其次，利用遍历算法对模拟的锚位置进行优化，过滤出满足要求的最佳锚位置，计算出各点与现有船舶的安全距离，根据相应的所需安全间距确定锚位置。最后，为验证该方法在不同海况和不同船型下的适用性和有效性，本文对 5000 个随机样本进行了一系列仿真实验。这些实验比较了在空载和满载吃水的情况下，水深变化的锚泊船舶锚位置选择需求，并可视化了不同水深参数对各种船型锚泊船舶锚位置选择的影响。 实验结果表明，该算法的检测区域覆盖了整个锚固区域，既保证了锚固区域的使用率，又保证了锚点位置检测的准确性。本研究表明，Traversal 和 Monte Carlo 算法有效提高了船舶锚地选择的准确性，充分利用了锚地资源，进一步提高了锚泊作业的安全性和效率。