A conceptual framework for blockchain and AI-driven digital twins for predictive operation and maintenance

Habib Sadri1, Ibrahim Yitmen1, Lavinia Chiara Tagliabue2, Florian Westphal1
1 Jönköping School of Engineering, Jönköping, Sweden
2 University of Turin, Torino, Italy
DOI: 10.35490/EC3.2023.219
Abstract: Digital Twins (DTs), enriched with Artificial Intelligence (AI) and Blockchain technology, promise a revolutionary breakthrough in smart asset management and predictive maintenance in the built environment. This study aims to portray a conceptual framework of Blockchain and AI-based DTs and outline its key characteristics, requirements, and system architecture by composing a functional model using IDEF0. Such an approach is expected to enhance predictive maintenance in building facilities, simplify the management and operation of smart built environments, and ultimately deliver valuable outcomes for facility operators, real estate practitioners, and end-users.
Keywords: Artificial Intelligence, Blockchain, Conceptual framework, Digital Twins, Predictive Maintenance, Smart Built Environment

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