利用极端规模的分析,人工智能和数字双胞胎来实现海洋数字化:VesselAI架构
Loukas Ilias1, Giannis Tsapelas1, Panagiotis Kapsalis1
1Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece.
Frontiers in big data
|August 14, 2023
概括
船舶AI项目集成了高性能计算 (HPC),大数据和人工智能 (AI) 来管理海上大数据. 该框架通过使用下一代数字双胞胎的先进分析来提高船舶的安全性,性能和效率.
科学领域:
- 海洋技术的海洋技术
- 数据科学是数据科学.
- 人工智能的人工智能是人工智能.
背景情况:
- 航运业产生了大量的数据,压倒了传统系统.
- 现有的方法很难有效地捕获,存储和处理这些大数据.
- 创新技术对于释放海事数据的全部潜力至关重要.
研究的目的:
- 介绍欧盟资助的项目VesselAI的架构.
- 开发一个整体的框架,整合HPC,大数据和AI.
- 为了实现海上应用的极大规模和分布式分析.
主要方法:
- 使用最先进的高性能计算 (HPC) 基础设施.
- 实施先进的大数据处理技术.
- 利用人工智能 (AI) 进行预测分析和决策支持.
主要成果:
- 设计用于极端规模和分布式分析的VesselAI框架.
- 集成HPC,大数据和人工智能技术.
- 为下一代海上数字双胞胎奠定了基础.
结论:
- 船舶AI框架解决了整合用于海洋大数据的创新技术的挑战.
- 它旨在提高海上安全,性能,减少消耗和排放.
- 该项目将验证和展示先进海事应用的全新整体框架.
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