应用大数据技术增强海上互操作性框架

Zdravko Paladin, N. Kapidani, E. Kočan, Tommaso Nicoletti, Georgios Vosinakis, Alkiviadis Astyakopoulos, Christos Bolakis, M. Moutzouris
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引用次数: 1

摘要

在本文中,我们介绍了数据湖和其他大数据基础设施技术的核心应用,以增强海事互操作性框架并确保各机构之间的弹性协作。该方法基于多层和语义支持的数据湖的部署,用于存储从异构传感器收集的各种海事数据,以及通过使用高级指挥和控制(C2)平台的公共信息共享环境(CISE)网络进行信息交换过程。本文的结果来源于欧盟资助的EFFECTOR项目,强调了使用人工智能算法和支持无人机和C2技术的先进解决方案对海上各种操作的重要贡献。在海上试验执行后,从最终用户收集的验证调查结果也被提出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying the Big Data Technologies for Enhancing Maritime Interoperability Framework
In this paper, we present the core applications of data lakes and other big data infrastructure technologies for the purpose of enhancing the maritime interoperability framework and ensuring resilient collaboration among agencies. The approach is based on the deployment of multi-layered & semantically enabled Data Lakes for storing various maritime data collected from heterogeneous sensors, and on the information exchange process through the Common Information Sharing Environment (CISE) network using advanced Command and Control (C2) platforms. The results of this paper are derived from the EU-funded project EFFECTOR, highlighting the significant contribution of advanced solutions using Artificial Intelligence algorithms and supporting UAV and C2 technologies to various operations at sea. The validation survey results collected from end-users after the execution of the maritime trials are presented as well.
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