When operating in a recurring income model, availability is key. Major repair works are a nightmare for owners and users. These are avoided by acting exactly when necessary: at the moment where the degradation is still in an early stage. In a DBFM or PPP scheme a reduced availability directly hits the bottom-line. This is avoided using a dedicated monitoring platform that provides learning based on historical data to generate predictions on the asset health. Replace expensive and lengthy inspections & maintenance jobs by targeted and short data driven inspections and repairs.

Infrastructure is built to serve the community for a long time. Traffic loads and usage types however evolve continuously: supertrucks, autonomous cars, climate change... As such predictions on actual operational life become increasingly challenging. Assessments on remaining lifetime and maintenance needs have to be based on true loads and usage, not on assumptions from the design phase. This is a prerequisite for proper lifetime extension or when designing and executing of necessary repair or reinforcement jobs. The integrated approach ultimately determines the capital value of the asset. You'd better do this continuously and with the smallest possible degree of uncertainty: through monitoring.

Structural and Finite Element models are essential tools to design structures and predict their operational performance. Actual behaviour however always deviates due to imperfect knowledge of surrounding conditions and inhomogeneities in materials and joints. A Digital Twin is the ideal tool to track the structure over its entire lifecycle. Sensor-based continuous follow-up allows the owner to match the Twin’s behaviour with what is actually happening. Combining physics and data science allows operators to engage in profound asset criticality analysis.

A visible crack in the concrete surface may be an indication that things are not going as planned. Most often it is not enough to just cover it up. Cracks in concrete originate from internal disintegration, corrosion or (external) stresses. Based on multi-aspect monitoring, dedicated sensors and the appropriate correlation analysis you can solve the root cause rather than treat the symptoms. Recent incidents such as the one Genoa, Italy (Morandi bridge) can be perfectly avoided if a proper continuous follow-up is implemented.