Antonio Jesús Guillén López, Antonio Sánchez Herguedas
The adoption of Digital Twin Technologies (DTT) is transforming maintenance services,particularly in sectors with stringent safety requirements, such as railways. This paper exploresthe integration of DTT into maintenance processes, leveraging IoT, BIM, and advanced datamodels to enhance decision-making and compliance with EU safety regulations. A model-based approach is introduced as a core component, ensuring a structured framework for thedevelopment of asset management (AM) solutions, aligned with maintenance strategies andlifecycle optimization. The model-based approach proposed in this work enables the design ofa scalable architecture and platform, supporting the deployment of various functionalities andservices within the Digital Twin (DT) ecosystem. A case study on railway rolling stock mainte-nance illustrates how DTT enables predictive analytics, improves asset lifecycle management,and supports the digitalization of key services, demonstrating the potential of a model-driven,structured digitalization strategy.
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