Digital Twin for Structural Monitoring and Predictive Maintenance of a Maritime Crane

Abstract

Industry 4.0 has revolutionized the industries by the application of technology in multiple ways. One of its focus is digital twins, which are virtual representations of physical products simulated in specialized software with the purpose of obtaining predictions on the product behavior. Maritime cranes are constantly exposed to severe loads, obtaining a wide range of failure modes, most related to structural factors and can be predicted by a digital twin. This project aims to develop a digital twin model to provide the crane with real-time structural monitoring that would constantly measure the structure status and loads, making possible the prediction of operations and capabilities by mixing the digital twin with data from sensors mounted in the physical crane.