An Integration Framework to Support Data Sharing and Process Tracking in Intelligent Asset Management Systems
摘要
The advancement of Intelligent Asset Management Systems (IAMS) in the railway sector can be fostered by integrating data and trustworthy artificial/human intelligence. However, the implementation of solutions for maintenance prescription and optimized intervention plans requires the integration of multiple digital artifacts and the involvement of different stakeholders. This paper discusses an IAMS Support Integration Framework, facilitating the integration of diverse digital artifacts for the implementation of intelligent maintenance scenarios in a multi-stakeholder environment. To support the integration, the framework offers functionalities for enhancing data sharing and guaranteeing process tracking within an IAMS. The paper outlines the framework’s requirements and architecture, demonstrates its implementation in practical scenarios from the DAYDREAMS project and presents the preliminary evaluation performed with relevant stakeholders.