PERFORMANCE MONITORING AND AUTOMATIC OPERATING MODE DETECTION BASED ON THE STATISTICAL ANALYSIS OF SHIP DATA

摘要

The shipping industry depends on a global regulatory framework to operate efficiently. The industry is currently facing various technical and regulatory challenges. Performance monitoring, vessel optimisation, reduction of emissions and maintenance have become highly demanding to the operators. The marine industry is also moving towards autonomous operation to reduce human error. The rate of sensor technology implementation has increased and also raised new technological challenges. The analysis of sensor data will create new horizons to face those challenges and achieve operational excellence. This paper demonstrates the implementation of statistical analysis on ship data and develops a system to automatically detect the vessel operation modes based on the sensor data. Finally, the paper also shows how the operational modes are linked to performance monitoring and condition based maintenance.