Research on ship manning data analysis based on data warehouse

Taizhi Lv; Enze Wu; Peiyi Tang

doi:10.1117/12.3031271

19 July 2024 Research on ship manning data analysis based on data warehouse

Taizhi Lv, Enze Wu, Peiyi Tang

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 1318151 (2024) https://doi.org/10.1117/12.3031271
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

Ship manning is the focus of maritime supervision. Insufficient manning will seriously affect the safety of water navigation. To better monitor the ship's manning situation, a maritime regulatory department developed a ship manning management system to realize self-service verification, self-service appointment and dismissal of ship manning and other functions. System operation collects massive amounts of ship manning data. To full mine the value of data, a manning data analysis platform is implemented. It implements the acquisition of ship manning data based on Canna and Kafka, builds a data warehouse through Hive, realizes automatic scheduling of tasks through DolphinScheduler, and realizes data visualization through Vue + Echarts. The analysis of ship manning data will help the maritime regulatory authorities real-time ship manning, analyze ship navigation conditions, and improve water traffic management.

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

Citation Download Citation

Taizhi Lv, Enze Wu, and Peiyi Tang "Research on ship manning data analysis based on data warehouse", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 1318151 (19 July 2024); https://doi.org/10.1117/12.3031271

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