HANDLING BIG DATA IN SHIP PERFORMANCE NAVIGATION MONITORING

摘要

Vessels are equipped with on-board internet of things (IoT) to observe various ship performance and navigation conditions. These IoT connected to ship navigation and automation systems collects and exchanges data among vessels and shore based data centres. Vessel navigation strategies are often based on such information to satisfy various energy efficiency and emission control standards in shipping. However, such IoT may create various shipping industrial challenges under large-scale data sets, so called "Big Data" challenges. This study illustrates to overcome Big Data challenges under the proposed data handling framework with various data analytics for on-board vessels and shore based data centres. The basis for these data analytics consists of data driven models developed under an engine-propeller combinator diagram of a selected vessel. The respective data analytics of sensor faults detection, error compression & data recovery, integrity verification & regression, and visualization & decision support are developed along the same.