Urban centres in Northern Greece and Southern Albania face increasing challenges in maintaining critical infrastructure and managing disaster risks. Structural Health Monitoring (SHM) systems are virtually absent, particularly in key assets such as bridges, public roads and heritage structures like castles —many of which are integral to daily life and mobility. Existing practices rely heavily on outdated, manual inspection techniques that provide only fragmented assessments and lack the real-time data necessary for timely and informed decision-making. This reactive approach hampers the ability of authorities to detect early signs of structural degradation, anticipate failures or implement proactive mitigation measures.
The ARIADNE project addresses these gaps by introducing an AI-powered SHM platform supported by an innovative framework of smart sensors, including 3D-printed tailor-made components adapted to local infrastructure needs. This integrated system will enable continuous data acquisition and predictive analytics, enhancing infrastructure safety through real-time monitoring, early-warning mechanisms and predictive maintenance. In doing so, ARIADNE contributes to the digital transformation of urban resilience systems and strengthens risk preparedness across both urban and rural settings.
The project fosters cross-border collaboration between municipalities and research institutions, promoting knowledge sharing, technical interoperability and policy alignment. ARIADNE’s solutions are scalable, context-aware and aligned with EU strategies such as the European Green Deal and EUSAIR, advancing the climate adaptation and disaster risk reduction objectives of the Greece–Albania programme area. Beyond technical innovation, ARIADNE supports long-term socio-economic resilience by enhancing public safety, reducing infrastructure downtime and enabling data-driven governance at a local level.
