Non-destructive, scalable, smart monitoring of remote cultural treasures
ARGUS draws on the current challenges in monitoring remote built heritage assets and the current research focus on preventive preservation, and envisions the development of:
(a) a novel built heritage digital twin model to support multi-scale/modal data
(b) an advanced digitization strategy to support the digital twin model
(c) a portable measurements system for non-destructive physical and chemical monitoring based on miniaturised sensors, and sensor composites integration, comprising of ground and aerial components
(d) AI-enabled methods for the modelling and identification (reverse engineer) of threat factors and their impact
(e) AI-powered multimodal data methods for the fusion of (i) remote sensing climate, weather and pollution data with (ii) natural disaster regional statistics, (iii) governmental statistics (ii) on-site acquired measurements
(f) Trustworthy AI decision support methods for the preventive preservation of built heritage.
