Research on Ship Manning Data Visualization

Authors

  • Enze Wu
  • Jin Tao
  • Taizhi Lv

DOI:

https://doi.org/10.54691/77az3n31

Keywords:

Ship manning management, Front-end and back-end separation, Flask web, Vue, ECharts, Axios, MySQL.

Abstract

In order to improve the efficiency of ship manning management and ensure the operational efficiency, safety, and stability of the shipping industry, this paper designs and implements a ship manning data visualization platform based on knowledge and analysis of ship information and manning management. The platform adopts a front-end and back-end separated software development mode, with the front-end using the Vue progressive framework to build user interfaces and the back-end utilizing the Flask lightweight web framework. Data storage and management are implemented using the MySQL database, combined with PyMySQL and Flask-SQLAlchemy for data read and write operations. The platform intuitively displays and manages data related to ship manning, enabling ship managers, crew members, and other relevant personnel to effectively manage and utilize this data, provide decision-making support, and optimize ship manning management.

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References

[1] Mufid, Mohammad Robihul, et al. "Design an mvc model using python for flask framework development." 2019 International Electronics Symposium (IES). IEEE, 2019: 214-219.

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[3] Kithulwatta, W. M. C. J. T., et al. "Performance evaluation of docker-based apache and nginx web server." 2022 3rd International Conference for Emerging Technology (INCET). IEEE, 2022: 1-6.

[4] Szabó, Ágnes-Kriszta, et al. "Atlas: Software System for Monitoring and Reserving Free Parking Spaces." 2020 IEEE 18th International Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2020 : 71-76.

[5] Shen, Leiming. "Application of Lightweight Freshmen Group Portrait Based on ECharts." Journal of Electrical Systems 20.4s (2024): 178-199.

[6] Noviana, Rina. "Pembuatan aplikasi penjualan berbasis web monja store menggunakan php dan mysql." Jurnal Teknik dan Science 1.2 (2022): 112-124.

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Published

2024-11-24

Issue

Section

Articles

How to Cite

Wu, E., Tao, J., & Lv, T. (2024). Research on Ship Manning Data Visualization. Frontiers in Science and Engineering, 4(11), 63-70. https://doi.org/10.54691/77az3n31