Clustering of the inland waterway navigational environment and its effects on ship energy consumption

Clustering of the inland waterway navigational environment and its effects on ship energy consumption
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DOI:
10.1177/1475090215619190
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发表时间:
2017-02
期刊:
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment
影响因子:
--
通讯作者:
A. Fan;Xin-ping Yan;Q. Yin;Xing Sun;Di Zhang
A. Fan;Xin-ping Yan;Q. Yin;Xing Sun;Di Zhang
中科院分区:
其他
文献类型:
--
作者:
A. Fan;Xin-ping Yan;Q. Yin;Xing Sun;Di Zhang

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本文通过在长江干线船舶上安装多个信息采集传感器,研究了长江干线船舶航行环境的分布特征。通过实船试验,收集了船舶能耗和航行环境数据。通过斯皮尔曼相关分析,证明了水流和航道水深是影响船舶能耗的主要因素。其次,覆盖整个干线的水流速度和航道深度的数据进行分级,使用k-均值聚类算法。通过统计各等级在长江不同航段中的频数分布,构建通航环境评价矩阵,并在此基础上采用层次聚类算法对相似航段进行聚类。这样,长江干线内的航道分区就完成了。此外,还计算了船舶在不同航段的能耗分布。研究结果表明,长江干线的航行环境和船舶能耗水平具有明显的区域差异。最后,分析了长江航行环境的规律,提出了相应的节能航行策略,有助于船员在节能、安全的条件下操作船舶。
This article examines the distribution characteristics of the navigational environment in the Yangtze River trunk line using several information collection sensors installed on ships that navigate in this line. Through experiments on these ships, data of energy consumption and the navigational environment are collected. Water flow and waterway depth are proved to be the main influencing factors on the ship energy consumption via Spearman’s correlation analysis. Next, data of water velocity and waterway depth that cover the entire trunk line are graded using the k-means clustering algorithm. To build an evaluation matrix of navigational environment, the frequency distribution of each grade in different Yangtze River legs is counted statistically, and on this basis, similar legs are clustered using the hierarchical clustering algorithm. In this way, the waterway partition in the Yangtze River trunk line is completed. Furthermore, the distribution of the energy consumption of ships in different legs is also calculated. The study results indicate that not only the navigational environment of the Yangtze River trunk line but also the energy consumption level of ships have distinctive regional differences. Finally, the laws of the Yangtze River navigational environment are analyzed, and the corresponding energy-saving navigation strategies are proposed, which are useful for crews to operate their ships in energy-efficient and safe conditions.