Study of Yangtze River Waterway Partition Based on Cluster Analysis
Study of Yangtze River Waterway Partition Based on Cluster Analysis
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发表时间：
2015
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通讯作者：
A. Fan;Xin-ping Yan;Q. Yin;Xing Sun
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作者：
A. Fan;Xin-ping Yan;Q. Yin;Xing Sun
本文研究了长江干线航行环境的分布特征，在该干线航行的船舶上安装了多个信息采集传感器。通过船舶实验，收集与能源消耗和航行环境相关的数据。通过Spearman相关分析，证明水流和航道深度是船舶能耗的主要影响因素。然后利用k-means聚类算法对覆盖整条干线的水流流速和航道深度数据分别进行分级。为了构建通航环境评价矩阵，统计了长江不同航段各等级的频率分布，在此基础上采用层次聚类算法对相似航段进行聚类。至此，长江干线航道分区完成。此外，还计算出船舶在不同航段的能耗分布。研究结果表明，不仅长江干线的通航环境存在明显的区域差异，船舶的能耗水平也与船舶航行的区域有很强的关系。最后，分析了长江通航环境规律，提出了相应的节能通航策略，有利于船员节能、安全航行。
This paper looks at the distribution characteristics of the navigation environment in the Yangtze River trunk line, several information collection sensors are installed on ships which navigate in this line. Through experiment on ships, data related with energy consumption and navigation environment are collected. Water flow and waterway depth are proved to be the main influencing factors on ship’s energy consumption via Spearman correlation analysis. Then, data of water velocity and waterway depth which covers the entire trunk line are graded respectively using the k-means clustering algorithm. For the sake of building an evaluation matrix of navigation environment, the frequency distribution of each grade in different Yangtze River legs is counted statistically, and on this basis the similar legs are clustered using the hierarchical clustering algorithm. As a result, the waterway partition in the Yangtze River trunk line is completed. Furthermore, the distribution of ship energy consumption in different legs is also calculated out. Study results indicate that not only the navigation environment of the Yangtze River trunk line has distinctive regional differences, but the energy consumption level of ships also has a strong relationship with the region where ships navigate. Finally, the laws of the Yangtze River navigation environment are analyzed and the corresponding energy-saving navigation strategies are proposed, which is useful for the crews to navigate their ships energy-efficiently and safely.