Research on ship track optimization based on big data analysis

Yingqi Yu

doi:10.47297/taposatWSP2633-456929.20250603

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Research on ship track optimization based on big data analysis

6卷第3期

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Research on ship track optimization based on big data analysis
Research on ship track optimization based on big data analysis
School of information technology, Jiangsu Maritime Institute, Nanjing Jiangsu 211170
2025年6卷第3期页码：151-153
纸质出版日期：2025-03-25
DOI：10.47297/taposatWSP2633-456929.20250603
Accepted：

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(2025). Research on ship track optimization based on big data analysis. 科技理论与实践（英文版）, 6(3), 151-153.

Yu Yingqi.Research on ship track optimization based on big data analysis[J].Theory and Practice of Science and Technology,2025,06(03):151-153.
(2025). Research on ship track optimization based on big data analysis. 科技理论与实践（英文版）, 6(3), 151-153. DOI： 10.47297/taposatWSP2633-456929.20250603.

Yu Yingqi.Research on ship track optimization based on big data analysis[J].Theory and Practice of Science and Technology,2025,06(03):151-153. DOI： 10.47297/taposatWSP2633-456929.20250603.

摘要

Abstract

Ship track is inferred from AIS data

but massive track data will aggravate the storage pressure of ship control center. Based on the characteristics of ship track data

big data analysis technology is applied to sort out and fit ship track data to reduce the pressure of track data storage. In view of this

this paper pre-processes the ship track data by collecting data and using the three-order difference method of big data analysis technology

and completes the ship track fitting process by segmental fitting

coordinate transformation

curve fitting and other methods. The experimental results show that the ship track fitting can be consistent with the actual ship track without affecting the local trend of the track data

which proves that the fitting effect is better and the ship track fitting results can be obtained with higher precision.

关键词

Keywords

references

Tao Li, Chen Tianwei. Ship track fitting based on big Data analysis [J]. Ship Science and Technology, 2019,44(11):68-71.

Li Yongyi, Cao Xinke, Han Kaixu. Ship track fitting based on big Data analysis [J]. Ship Science and Technology,2022,44(07):174-177.

Han Yuyin, Ding Tianming, Liu Hu. Ship track prediction based on AIS data and Bi-LSTM [J]. Navigation Technology,2023,(02):35-38.

Liu Chengyong, Qiao Wenjie, Chen Shuzhe, et al. Research on ship track prediction model based on LSTM and attention mechanism [J]. Navigation of China,2021,44(04):94-100+106.

XIA Huiyu, Liu Anlin, Cheng Jia. Study on regular water track of Nanjing Yangtze River Bridge based on AIS big data [J]. Water Transport Engineering,2021,(01):189-195.

Li Yongyi, Cao Xinke, Han Kaixu. Ship track fitting based on big Data analysis [J]. Ship Science and Technology,2022,44(07):174-177.

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