Research on AIS data analysis application in port management

Enze Wu; Xinyue Lv; Yujuan Zou

doi:10.1117/12.3032865

5 July 2024 Research on AIS data analysis application in port management

Enze Wu, Xinyue Lv, Yujuan Zou

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131843O (2024) https://doi.org/10.1117/12.3032865
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

With the continuous development of water transportation in China, ships entering and leaving the ports have become increasingly significantly. The Automatic Identification System (AIS) provides powerful data support for port management by transmitting critical information such as ship location, heading, and speed in real-time. Based on data warehouse technology, a port ship management platform is constructed, and it uses AIS data analysis to achieve dynamic monitoring for ship trajectories and operations. The platform employs a refined layered design that encompasses key aspects such as data acquisition, processing, storage, and visualization, optimizing the data processing workflow and significantly enhancing the stability and flexibility of the platform. It utilizes message queues for real-time data acquisition and performs immediate processing through stream computing. The processed data is intelligently stored in corresponding data storage services based on its granularity. With a front-end and back-end separation design approach, the platform presents data to users in an intuitive and clear graphical format. The analysis of AIS data not only facilitates the efficient management of ship arrivals and operations in ports, but also contributes to the optimization of berth allocation, channel management, and personnel scheduling, ultimately enhancing the overall efficiency of port management.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Enze Wu, Xinyue Lv, and Yujuan Zou "Research on AIS data analysis application in port management", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131843O (5 July 2024); https://doi.org/10.1117/12.3032865

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