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

物联网（IoT）是一种新兴的现象，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。海事世界也没有逃脱物联网革命的影响。我们正处于一个技术浪潮中，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，因为其他海事实体，如起重机，板条箱，船只，皮卡车等都配备了同样的能力。这一趋势构成了所谓的“海上物联网”（mIoT）的支柱。该项目是关于利用无数海上实体发出的传感器数据的浪潮（oractors），以改善mIoT相关组织的内部和协作流程;例如，想象一下，港务局在收到由于恶劣的天气条件而延误的通知后，调整了停泊和卸货时间表。该研究项目所面临的挑战是使用大数据分析为决策支持生成可操作的智能。可操作的情报包括异常、警报、威胁、潜在的响应生成、流程优化和其他类型的知识，这些知识可以提高海事相关组织的效率和/或与其他类似组织互动的方式。在加拿大，全面的海洋领域意识需要测量横跨太平洋、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。鉴于时间、预算和资源的限制，这项工作需要大量的优化工作和系统（如项目中提出的系统），以便有机会。

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.