Research on the Architecture of Maritime Regulatory Data Platform

Authors

  • Enze Wu
  • Jin Tao
  • Taizhi Lv

DOI:

https://doi.org/10.54691/s1288y27

Keywords:

Maritime Regulation; Data Analysis; Lambda Architecture; Data Warehouse; Flume.

Abstract

The maritime regulatory data platform serves as the brain of the smart maritime regulatory platform. It collects data on navigation resources and port & waterway resources, unifies data norms and standards, and achieves comprehensive data resource management covering all elements including ships, crew members, companies, ports, waterways, and pilotage. Through data aggregation, mining, and analysis, it enables intelligent judgment, precise profiling, scientific decision-making, and multi-dimensional panoramic display. This platform provides maritime regulatory departments with scientific and reasonable decision-making suggestions, helping them better formulate and implement regulatory policies.

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References

[1] Oloruntobi, Olakunle, et al. "Sustainable transition towards greener and cleaner seaborne shipping industry: Challenges and opportunities." Cleaner Engineering and Technology 13 (2023): 100628.

[2] Mallam, Steven C., Salman Nazir, and Amit Sharma. "The human element in future Maritime Operations–perceived impact of autonomous shipping." Ergonomics 63.3 (2020): 334-345.

[3] Kim, Mingyu, et al. "Autonomous shipping and its impact on regulations, technologies, and industries." Journal of International Maritime Safety, Environmental Affairs, and Shipping 4.2 (2020): 17-25.

[4] Coviello, Giuseppe, et al. "DataX: A system for data exchange and transformation of streams." International Symposium on Intelligent and Distributed Computing. Cham: Springer International Publishing, 2021: 319-329.

[5] Wedashwara, Wirarama, et al. "Data storage and modeling system for GPS, Gyro and camera data using apache flume and hadoop map reduce." AIP Conference Proceedings. Vol. 3026. No. 1. AIP Publishing, 2024.

[6] Zou, Yujuan, Peiyi Tang, and Taizhi Lv. "Design and implementation of ship shore power data analysis system based on Doris data warehouse." 2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE). IEEE, 2022.

[7] Lv, Taizhi, Enze Wu, and Peiyi Tang. "Research on ship manning data analysis based on data warehouse." Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024). Vol. 13181. SPIE, 2024: 1245-1250.

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Published

2024-11-21

Issue

Section

Articles

How to Cite

Wu, E., Tao, J., & Lv, T. (2024). Research on the Architecture of Maritime Regulatory Data Platform . Scientific Journal of Technology, 6(11), 31-36. https://doi.org/10.54691/s1288y27