基于划分聚类算法的船舶实时能效分析  

Analysis of real-time energy efficiency of ships based on partition clustering algorithm

作　　者：易加宁 徐士甲 YI Jianing;XU Shijia

机构地区：[1]广西玉柴船电动力有限公司,广西玉林537000 [2]武汉理工大学,湖北武汉430000

出　　处：《中国修船》2024年第S01期63-68,共6页China Shiprepair

摘　　要：为了实现多因素影响下的船舶营运能效综合优化与提升,需要开展船舶能效数据的挖掘与分析,探索切实有效的船舶能效优化方法。以内河航运船舶作为研究对象,分析了船舶能效的主要影响因素,开展了船舶能效数据采集与分析,基于划分聚类算法将船舶通航环境划分为不同等级,并在此基础上进行船舶实时能效数据分析,加快推广船舶实时能效在船舶运营中的应用,为提高内河船舶的能效水平提供理论方法与技术支持。In order to realize the comprehensive optimization and promotion of the ship's operational energy ef-ficiency under the influence of multiple factors,it is necessary to conduct data mining and analysis for the ship's en-ergy efficiency and explore practical and effective methods for energy efficiency optimization.Taking inland naviga-tion ships as the research object,this paper analyzed the main influencing factors of ship's energy efficiency,car-ried out data collection and analysis of ship's energy efficiency,divided the navigation environment of ships into dif-ferent grades based on division clustering algorithm,and analyzed the real-time energy efficiency data of ships on this basis,to accelerate the popularization of the application of real-time energy efficiency in ship operation and pro-vide theoretical methods and technical support for improving the energy efficiency level of inland navigation ships.

关 键 词：内河船舶 数据采集 实时能效 划分聚类 数据分析 

分 类 号：U672[交通运输工程—船舶及航道工程]