SmartEDT
A digital twin that thinks at the building edge
SmartEDT combines dynamic BIM, building sensors, advanced energy modelling and local AI processing to support faster, more efficient building operation.
Real-time intelligence without sending everything away
Buildings generate continuous information about occupancy, temperature, equipment and energy use. Sending every signal to a remote cloud can add delay, cost and unnecessary dependence on connectivity.SmartEDT explores an edge-computing digital twin that processes key data close to the building while keeping the model responsive to changing conditions.
Project overview
Lead: Bellacet Ltd
Duration: 6 months
Focus: Smart building innovation
Location: United Kingdom
Static models cannot manage dynamic buildings
Traditional BIM captures design intent, while operational systems collect live sensor data. When the two remain disconnected, teams lose the context needed to understand why performance changes.The project links heterogeneous IIoT data with a dynamic building model and bespoke AI so that insights remain grounded in rooms, systems and actual use.
The SmartEDT architecture
Dynamic twin
A live model connecting building geometry, systems and changing operational data.
Edge intelligence
Local processing reduces latency and supports resilient decisions near the source.
Energy optimisation
Advanced modelling identifies practical opportunities to reduce operational demand.
Towards responsive, efficient buildings
SmartEDT will define how sensor streams, energy models and BIM information can be reconciled into a dependable operational twin.The work will address interoperability, data quality, local compute requirements and the responsible use of AI recommendations.The resulting architecture can support future trials in buildings where rapid, contextual energy decisions matter.