Design and Implementation of Data Analysis System for Ship Arrival and Departure Report

Authors

  • Yongbing Chen
  • Lei Chen
  • Taizhi Lv

DOI:

https://doi.org/10.54691/sjt.v4i6.876

Keywords:

Doris; Echarts; Big Data; Ship Arrival and Departure Report; Vue; Data Visualization.

Abstract

In the context of building a smart maritime scene, through building a maritime smart service, improve the efficiency of ships entering and leaving the port, and reduce the waiting time for ships to load and unload goods in the port. In this paper, the basic function of querying the ship arrival and departure reports is provided, and the data of the ship arrival and departure reports are visually displayed by analyzing the data of the ship arrival and departure reports. Analyze the traffic of ships between provinces, and analyze the historical freight data of ships to draw a preliminary ship portrait, as to analyze and study the dependence of different provinces on goods and the positioning of provinces in the industrial chain. The back-end of the system is based on the spring boot framework, and the front-end uses the Vue framework to realize the front-end and back-end separate development of the system. For the storage and visualization of port entry and exit report data, the system selects Doris database cluster to store and manage historical port entry and exit report data. The open-source visualization chart Library of Echarts is used for visual drawing to realize the preliminary development and exploration of the data analysis system of ship entry and exit report.

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References

Wang, L. , W. Zhang , and X. Duan . "Understanding Accessibility Changes from the Development of a High-Speed Rail Network in the Yangtze River Delta, China: Speed Increases and Distance Deductions." Applied Spatial Analysis and Policy 12.4(2019):1011-1029.

Suryotrisongko, H., D. P. Jayanto , and A. Tjahyanto. "Design and Development of Backend Application for Public Complaint Systems Using Microservice Spring Boot." Procedia Computer Science 124 (2017):736-743.

Asenova, M. , and C. Chrysoulas. "Personalized Micro-Service Recommendation System for Online News." Procedia Computer Science 160(2019):610-615.

Li, N. , and B. Zhang . "The Research on Single Page Application Front-end development Based on Vue." Journal of Physics Conference Series 1883.1(2021):012030.

Ji, Y., et al. "Smart Intra-query Fault Tolerance for Massive Parallel Processing Databases." Data Science and Engineering 5.1(2020):65-79.

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Published

2022-06-20

Issue

Section

Articles

How to Cite

Chen, Y., Chen, L., & Lv, T. (2022). Design and Implementation of Data Analysis System for Ship Arrival and Departure Report. Scientific Journal of Technology, 4(6), 17-21. https://doi.org/10.54691/sjt.v4i6.876