Big data analytics for the Maritime Internet of Things (IoT)

海事物联网 (IoT) 的大数据分析

• 批准号: 499024-2016
• 负责人: Petriu, Emil
• 金额: $ 5.23万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618787
• 关键词: Big; data; analytics; Maritime; Internet

The Internet of Things (IoT) is an emerging phenomenon that enables ordinary devices to generate sensor dataand interact with one another to improve daily life. The maritime world has not escaped the influence of theIoT revolution. We are in the midst of a technological wave in which vessels are not the only ones carryingsensors (e.g. Global Positing System - GPS - or radar) anymore, as other maritime entities such as cranes,crates, boats, pickup trucks, etc. are being equipped with the same capabilities. This trend constitutes thebackbone of the so-called "Maritime Internet of Things" (mIoT).This project is about exploiting the tidal wave of sensor data emitted by a myriad of maritime entities (oractors) in order to improve both internal and collaborative processes for mIoT-related organizations; forinstance, think of a Port Authority adjusting its berthing and unloading schedules upon receiving notice that avessel has been delayed due to harsh weather conditions. The challenge addressed by this research project is thegeneration of actionable intelligence for Decision Support using Big Data analytics. Actionable intelligenceincludes anomalies, alerts, threats, potential response generation, process refinement and other types ofknowledge that improve the efficiency of a maritime-related organization and/or the manner in which itinteracts with other similar organizations. In Canada, full maritime domain awareness requires the surveyingof 10 million squared km across the Pacific, Atlantic and Arctic oceans, over 200 thousand km of coastline and5 million squared km of Arctic landmass. Given time, budget and resource constraints, this massiveundertaking requires large optimization efforts and systems (such as the one being proposed in the project) inorder to stand a chance.

物联网 (IoT) 是一种新兴现象，它使普通设备能够生成传感器数据并相互交互以改善日常生活。航海世界也未能逃脱物联网革命的影响。我们正处于技术浪潮之中，船舶不再是唯一携带传感器（例如全球定位系统 - GPS - 或雷达）的船舶，因为起重机、板条箱、船只、皮卡车等其他海事实体也配备了相同的功能。这一趋势构成了所谓的“海事物联网”(mIoT) 的支柱。该项目旨在利用无数海事实体（或参与者）发出的传感器数据浪潮，以改善 mIoT 相关组织的内部和协作流程；例如，考虑一下港务局在收到船舶因恶劣天气条件而延误的通知后调整其停泊和卸货时间表。该研究项目面临的挑战是使用大数据分析生成可操作的决策支持情报。可操作的情报包括异常、警报、威胁、潜在的响应生成、流程改进和其他类型的知识，这些知识可以提高海事相关组织的效率和/或其与其他类似组织的交互方式。在加拿大，全面的海域意识需要对太平洋、大西洋和北冰洋的 1000 万平方公里、超过 20 万公里的海岸线和 500 万平方公里的北极陆地进行勘测。考虑到时间、预算和资源的限制，这项艰巨的任务需要大量的优化工作和系统（例如项目中提出的系统）才能有机会。