The invention belongs to the technical field of ship and ocean engineering, and discloses an artificial neural network-based ship-following swaying motion wave inversion method and system. The method comprises the following steps of: performing inversion of the meaningful wave height, the characteristic period and the wave direction in wave statistical characteristics based on ship motion in a data driving mode, and acquiring ship motion data through a pose sensor arranged on a ship so as to acquire information of waves around the ship. The method has good robustness for different sea conditions. Meanwhile, according to the method, ship motion data can be obtained through the pose sensor arranged on the ship, the hardware requirement is relatively simple, the cost benefit is relatively high, and wave monitoring along with the ship can be realized. The method provides a new solution path for the current acquisition of the sea wave information around the ship, and can provide wave environment data support for ship navigation and operation decision.
本发明属于船舶与海洋工程技术领域,公开了基于人工神经网络的随船摇荡运动反演波浪方法及系统。该方法通过数据驱动的方式进行基于船舶运动的波浪统计特征中有义波高、特征周期和波浪浪向的反演,同时通过船上布置的位姿传感器进行船舶运动数据的获取,进而获取随船周围海浪信息。本发明对不同的海况均具有良好的鲁棒性。同时这类方法通过船上布置的位姿传感器即可实现船舶运动数据的获取,其硬件需求较为简单,成本效益较高,且能够实现随船波浪监测。这类方法为当前获取随船周围海浪信息提供了一种新的解决路径,可为船舶航行和作业决策提供波浪环境数据支撑。
Method and system for inverting waves through ship-following swaying motion based on artificial neural network
基于人工神经网络的随船摇荡运动反演波浪方法及系统
2023-11-24
Patent
Electronic Resource
Chinese
IPC: | B63B Schiffe oder sonstige Wasserfahrzeuge , SHIPS OR OTHER WATERBORNE VESSELS |
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