Intelligent monitoring of marine vessel dynamics based on data mining

被引：0

作者：

Cui, Benben ^{[1
]}

Wang, Chen ^{[1
]}

Wu, Yun ^{[1
]}

Zhu, Can ^{[1
]}

Lin, Jianmin ^{[2
]}

Yang, Tingjie ^{[3
]}

机构：

[1] Huaqiao Univ, Coll Civil Engn, Higher Educ Engn Res Ctr Intelligence & Automat Co, Xiamen 361021, Peoples R China

[2] China Construct Third Engn Bur Grp South China Co, Guangzhou 510080, Peoples R China

[3] China Construct Strait Changting Construct & Dev C, Longyan 366300, Fujian, Peoples R China

来源：

OCEAN ENGINEERING | 2024年 / 313卷

关键词：

Anomaly vessel behavior; Intelligent monitoring; AIS data; Big data; Cloud computing; KNOWLEDGE DISCOVERY; ANOMALY DETECTION; MODEL;

D O I：

10.1016/j.oceaneng.2024.119387

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

This study explores vessel navigation's universal characteristics and individual anomaly behavior from dispatch to destination. With the help of information technology, it introduces big data and machine learning technologies into the work of vessel traffic management and conducts statistical analysis and monitoring studies of vessel behavior from a data-driven perspective. The study was conducted by modeling vessel speed, position, course, and other navigational characteristics behavior through comprehensive statistical analysis of vessel AIS, radar, and VTS data. The study was based on the monitoring methods for anomalous behavior of vessel speed, position, and heading inconsistencies with the expected behavior identified by the model.

引用

页数：18

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