以确定大型邮轮的最优船型参数，提升邮轮的航行性能为目标，提出基于数据挖掘的大型邮轮船型特征及船型参数分析方法。利用模糊C均值聚类算法，聚类大型邮轮船型数据，挖掘大型邮轮船型特征。基于粗糙集理论，对大型邮轮船型特征挖掘结果约简处理，约简后船型特征对应的参数，作为船型性能优化的船型参数。利用自由变形方法，构建大型邮轮船型变换模型。依据船型参数变化，调整模型控制体的控制顶点，变化大型邮轮形状。利用回归分析方法，拟合船型变换模型中的船型参数，确定大型邮轮的最佳船型参数。实验结果表明，该方法可以精准挖掘大型邮轮船型特征，确定最佳船型参数。最佳船型参数下的邮轮阻力下降了1.48%，提升了大型邮轮的航行性能。
With the goal of determining the optimal ship type parameters for large cruise ships and improving their navigation performance, research is conducted on data mining based ship type characteristics and parameter analysis methods for large cruise ships. Using fuzzy C-means clustering algorithm to cluster data on large cruise ship types and explore the characteristics of large cruise ship types. Based on rough set theory, the results of feature mining for large cruise ship types are reduced, and the parameters corresponding to the reduced ship type features are used as ship type parameters for optimizing ship type performance. Using the free deformation method, construct a large-scale cruise ship type transformation model. Adjust the control vertices of the model control body based on changes in ship type parameters, and change the shape of large cruise ships. Using regression analysis methods, fit the ship type parameters in the ship type transformation model to determine the optimal ship type parameters for large cruise ships. The experimental results show that this method can accurately mine the characteristics of large cruise ship types and determine the optimal ship type parameters. The resistance of cruise ships decreased by 1.48% under the optimal ship type parameters, improving the navigation performance of large cruise ships.
2024,46(6): 173-176 收稿日期：2023-06-27
DOI：10.3404/j.issn.1672-7649.2024.06.031
分类号：U662
基金项目：2023年浙江省教育科学规划课题（2023SCG306）
作者简介：姚丹丽(1981-),女,硕士,副教授,研究方向为邮轮产业经济及邮轮旅游人才培养
参考文献：
[1] 骆行有. 邮轮船型特征及船型参数分析[J]. 船舶工程, 2021, 43(S1): 188-193+222.
LUO Xing-you. Analysis of cruise ship type characteristics and ship type parameters[J]. Ship Engineering, 2021, 43(S1): 188-193+222.
[2] 徐海峰, 张雁, 刘江, 等. 基于变异系数和最大特征树的特征选择方法[J]. 南京师大学报(自然科学版), 2021, 44(1): 111-118.
XU Hai-feng, ZHANG Yan, LIU Jiang, et al. Feature selection method based on coefficient of variation and maximum feature tree[J]. Journal of Nanjing Normal University(Natural Science Edition), 2021, 44(1): 111-118.
[3] 黄君策, 石林, 顾玉宛, 等. 基于自适应森林优化算法的特征选择算法[J]. 计算机工程与设计, 2023, 44(2): 425-431.
HUANG Jun-ce, SHI Lin, GU Yu-wan, et al. Feature selection algorithm based on adaptive forest optimization algorithm[J]. Computer Engineering and Design, 2023, 44(2): 425-431.
[4] 刘臣, 郭歆. 极地探险邮轮市场分析与船型发展趋势[J]. 船舶工程, 2021, 43(7): 14-23.
LIU Chen, GUO Xin. Analysis of polar exploration cruise market and development trends of ship types[J]. Ship Engineering, 2021, 43(7): 14-23.
[5] 于群, 李广年, 杜林, 等. 基于阻力性能的金枪鱼船船型参数优化研究[J]. 中国造船, 2021, 62(2): 224-235.
YU Qun, LI Guang-nian, DU Lin, et al. Optimization of hull form parameters for tuna boats based on resistance performance[J]. Shipbuilding of China, 2021, 62(2): 224-235.
[6] 张牧, 王建华, 万德成. 基于重叠网格的豪华邮轮多工况耐波性数值分析[J]. 中国舰船研究, 2022, 17(2): 57-62.
ZHANG Mu, WANG Jian-hua, WAN De-cheng. Multi-state luxury cruise ship seakeeping based on overlapping grids[J]. Chinese Journal of Ship Research, 2022, 17(2): 57-62.
