自动化集装箱码头数据湖系统设计与实现

Design and application of data lake system in automated container terminal

针对高复杂程度的自动化集装箱码头运营数据混乱及可视化程度低等问题,在分析自动化集装箱码头数据组成及传递的基础上,提出一种自动化集装箱码头数据湖系统设计与管理方法。结合大数据、数据挖掘等技术,凭借码头数据资产对码头作业进行生产指导。通过数据湖管理各模块间的高效衔接,实现码头运营数据资产管理。与现有码头数据湖系统设计及管理方法相比,能有效利用自身数据资产,协调码头设备调度,提升自动化码头运营能力,可为其他自动化码头数据湖系统设计与实现提供参考。

Considering the confusion and low visualization of the operation data of the highly complex automated container terminal,based on the analysis of the data composition and transmission of the automated container terminal,a design and management method of the data lake system of the automated container terminal is proposed,which provides production guidance for the terminal operation by combining big data,data mining and other technologies and relying on the terminal data assets.Through the efficient connection between modules of data lake management,the management of terminal operation data assets can be realized.Compared with the existing design and management methods of wharf data lake system,this method can effectively utilize its own data assets,coordinate the dispatching of wharf equipment,improve the operational capability of the automated wharf,and provide reference for the design and application of other automated wharf data lake systems.