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

物联网(IoT)是一种新兴现象，它使普通设备能够产生传感器数据并相互作用，以改善日常生活。海洋世界也未能逃脱物联网革命的影响。我们正处于一场技术浪潮中，船舶不再是唯一携带传感器(例如全球定位系统或雷达)的船只，因为起重机、板条箱、船只、皮卡等其他海洋实体也正在配备相同的功能。这一趋势构成了所谓的“海事物联网”(MIOT)的支柱。这个项目是关于利用大量海洋实体(或参与者)发出的传感器数据的浪潮，以改善与MIOT相关的组织的内部和协作流程；例如，设想港务局在收到Aessel因恶劣天气条件而延误的通知后调整停泊和卸货时间表。该研究项目解决的挑战是使用大数据分析生成可操作的智能以提供决策支持。可采取行动的情报包括异常情况、警报、威胁、潜在的反应生成、流程改进和其他类型的知识，以提高海事相关组织的效率和(或)其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要求对太平洋、大西洋和北冰洋的1000万平方千米、超过20万千米的海岸线和500万平方千米的北极陆地进行测量。考虑到时间、预算和资源的限制，这一大规模的项目需要大量的优化努力和系统(如项目中提议的系统)才能有机会。

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.