The invention provides application of an anchor position detection method based on Monte Carlo and a data set optimization algorithm, and the method comprises the steps: carrying out the successive operation of an anchor ground obstacle coordinate set and an anchor position point coordinate set which is generated through a Monte Carlo random algorithm and is used for simulating a to-be-moored ship through an anchoring region detection model of an anchored ship; obtaining a two-dimensional coordinate set of anchor position points of the ship to be moored meeting a ship safety spacing value, carrying out random sampling on the points in an anchor position circle by using a Monte Carlo random sampling model in combination with a data set optimization algorithm, and checking the set obtained by random sampling with a draught depth value of the ship to be moored; therefore, a to-be-moored ship anchoring position point meeting the two-dimensional plane and three-dimensional water depth requirements is obtained; the method can be applied to auxiliary ship anchoring operation. The three-dimensional detection of the ship anchor position can be realized through the water depth limitation on the basis of satisfying the two-dimensional safety spacing limitation, and the accuracy and safety of ship anchor position detection and selection in the actual anchoring operation are greatly improved.
本发明提供一种基于蒙特卡洛和数据集优化算法的锚位检测方法的应用,利用锚泊船锚泊区域检测模型对锚地障碍物坐标集合和用蒙特卡洛随机算法生成的用以模拟待泊船锚位点坐标集合进行逐次运算,获得满足船舶安全间距数值的待泊船锚位点二维坐标集合,对其锚位圆内的点进行蒙特卡洛随机抽样模型进行结合数据集优化算法的随机抽样,将随机抽样所得集合与待泊船船舶吃水水深值进行核对,从而获得满足二维平面和三维水深要求的待泊船锚位点;所述方法可应用于辅助船舶抛锚作业中。可在满足二维安全间距限制的基础上通过水深限制来实现对船舶锚位的三维检测,大大提高了在锚泊实际作业中船舶锚位检测与选择的精度和安全性。
Application of anchor position detection method based on Monte Carlo and data set optimization algorithm
基于蒙特卡洛和数据集优化算法的锚位检测方法的应用
2025-05-13
Patent
Electronic Resource
Chinese
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