Design and Implementation of a Ship Entry–Exit Report Data Analysis Platform Based on Big Data Technologies

Taizhi Lv

doi:10.54097/72ma2q79

Authors

Taizhi Lv

DOI:

https://doi.org/10.54097/72ma2q79

Keywords:

Ship Entry–Exit Report, Spark Distributed Computing, Spring Boot, Data Visualization, Echarts, AIS Data

Abstract

With the continuous expansion of global maritime transport, ship entry–exit report data have become essential for port management, shipping operations, and safety supervision. This study builds a complete data analysis platform based on MySQL, Spark, Spring Boot, and Echarts, enabling full-process handling from data acquisition, preprocessing, and distributed analysis to visual presentation. The platform adopts a hybrid architecture that integrates batch processing and stream processing to enhance both real-time monitoring and historical data analytics. Through the visualization module, the system improves interpretability of data and provides intuitive decision support for port authorities. Featuring high extensibility, clear modular design, and applicability to real port scenarios, the proposed platform offers a feasible technical solution for smart port construction.

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