Project description
A remote monitoring solution to pave the future of cultural heritage preservation
Preserving our rich cultural heritage faces a critical challenge: the effective remote monitoring of built heritage assets. Current methods fall short, risking the deterioration of invaluable structures. In this context, the EU-funded ARGUS project emerges as a groundbreaking solution. With a focus on preventive preservation, it pioneers a novel digital twin model, advanced digitisation workflows, multi-scale multi-modal monitoring approaches and AI-powered decision-support methods. This ambitious initiative, uniting AI and cutting-edge technology, promises a transformative leap in heritage conservation, ensuring the longevity of our architectural treasures. Targeting researchers, stakeholders, authorities and the public, ARGUS promises real-time monitoring, long-term analysis and innovative strategies to safeguard our cultural heritage.
Objective
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 digitisation strategy to support the digital twin model; (c) a portable measurements system for non-descructive physical and chemical monitoring based on miniaturised sensors, and sensor composites integration, comprising of ground and aereal components; (d) AI-enabled methods for the modeling 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. ARGUS’ innovation targets: (a) Researchers/academics: data from the ARGUS monitoring systems, long-term status processed data, the novel multimodal digital twin white paper, multidimensional/modal data visualisations, APIs. (b) Stakeholders/heritage managers/practitioners: real-time monitoring, long-term status analysis, predictive preser¬vation predictions, intervention decision support. (c) Authorities: real-time monitoring, long-term status analysis, predictive preservation strategies. (d) General public: real-time visualisations, crowdsourcing and citizen contribution in preventive preservation, citizens-in-the-loop R&I design with Living Labs and Hackathons.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineering
- engineering and technologyenvironmental engineeringremote sensing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
151 25 Maroussi
Greece