Survey, inspection, maintenance, construction and restoration have become challenging activities conducted during the process of civil infrastructure management, due to the revolutionary impact of mechatronics and information technology for their automation. The core of the proposed IRIS project relates to the development of new technologies to fully automate the use of robotized systems and sensor networks in data acquisition for survey, inspection and monitoring. The interaction between data acquisition and storage is managed by the construction of advanced models which are the Digital Twins (DT) of the infrastructure updated in real time. For the continuous Non-destructive Evaluation (NDE) of the infrastructure, the integration of different information, the so-called data fusion process, is used to develop powerful digital models providing an exhaustive and realistic description of the examined facility during its service life even in post-disaster occurrences. Data and models provide the basis to identify and to describe defects and degradation especially in view of determining possible performance reduction in existing structures. All the acquired knowledge, opportunely managed, constitutes the input for automated or partially automated decision-making processes useful in facilities and infrastructure management.

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