Descrizione del progetto
Big Data per edifici intelligenti
I servizi basati sui dati che mirano ad aumentare l’efficienza energetica negli edifici fanno affidamento su progressi tecnologici come l’Internet delle cose (IoT), i Big Data, l’intelligenza artificiale e il calcolo distribuito. Tuttavia, esistono barriere che impediscono lo sfruttamento di tali tecnologie; un esempio è la mancanza di interoperabilità tra l’automazione degli edifici statica ed eterogenea e ontologie e fonti di dati IoT dinamici. Il progetto MATRYCS, finanziato dall’UE, offrirà applicazioni Big Data che forniscono servizi completi di efficienza energetica negli edifici e migliorano il funzionamento degli edifici e la progettazione delle infrastrutture. Verrà creata un’architettura di riferimento aperta per edifici efficienti dal punto di vista energetico per allineare architettura e vocabolari avanzati, consentendo la sovranità B2B. La metodologia preserverà lo scambio di dati tra più partii e fornirà la piena interoperabilità degli attivatori di Big Data con gli standard degli edifici intelligenti.
Obiettivo
The decentralization of the energy system coupled with advancements on IoT, big data, AI and distributed computing are creating a new momentum for exploiting data-driven services to improve buildings energy efficiency. Despite a large number of buildings data hubs and vocabularies have become available, some barriers hamper the exploitation of that potential, such as the lack of interoperability among heterogeneous static (e.g.BIM) building automation and IoT dynamic data sources and ontologies, and the lack of interoperable big data architectures fully tailored to smart buildings. In that respect MATRYCS will i) deliver an open Reference Architecture for Smart Energy Efficient Buildings, which aligns BDVA SRIA, FIWARE architecture, SAREF, HAYSTACK, and BRICK schema vocabularies (among the many others), and enable B2B sovereignty preserving multi-party data exchange, while providing full interoperability of big data enablers with smart buildings standards and addressing privacy and cyber-security constraints ii) upscale a number of TRL 5-6 technology enablers, such as sovereignty-preserving DLT/off-chain data governance, big data pipeline orchestration, IoT/edge AI-based federated learning and visual analytics and deploy them within the TRL 7-8 MATRYCS workbench iii) deliver a TRL8 open modular big data cloud analytic toolbox as front-end for one-stop-shop analytics services development iv) validate such framework through the deployment of analytics services focusing on digital building twins, improved buildings operation, building infrastructure design, EU/national policy assessment for energy efficiency investments on 11 large scale pilots by different stakeholders (facility managers, ESCOs, financial institutions, construction companies, municipalities, electricity grid and DH operators, policy makers) v) setup the BDA Alliance as a vibrant data-driven ecosystem for attracting new data hubs and SME service providers, enabling thus EU-wise take-up and replication
Campo scientifico
- natural sciencescomputer and information sciencesknowledge engineeringontology
- natural sciencescomputer and information sciencesinternetinternet of things
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesdata sciencedata exchange
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Vedi altri progetti per questo bandoBando secondario
H2020-LC-SC3-EE-2020-1
Meccanismo di finanziamento
IA - Innovation actionCoordinatore
00144 Roma
Italia