Smart Building Sensitive to Daily Sentiment

Acronym

SUSTAIN

Description of the granted funding

Buildings are evolving into smart organisms through their unmatched concentration of distributed sensing, actuation and intelligence. Indeed, the regulatory decree 2010/31/EU (European Parliament) requires building automation control systems in tertiary buildings by 2025. Still, despite massively deployed sensors of all kind, instead of actual awareness, nowadays at most unconscious processing (C0) is reached. SUST(AI)N derives theoretical & experimental underpinnings to combine novel distributed intelligence, unpre-cedented sensing accuracy, and reconfigurable hardware in a smart building context into a conscious organism that achieves self-awareness through probabilistic reasoning across its connected sustainable devices. SUST(AI)N constitutes the first concentrated effort to explore novel advances in distributed intelligence, reconfigurable hardware, and environmental sensing to establish awareness for smart buildings that reaches global availability of information (C11; through data aggregation across connected reconfigurable hardware), and self-monitoring (C21; via distributed probabilistic intelligence and the sensing of group sentiment). We simplify intelligent building hardware and systems by exploiting electromagnetic signals jointly for backscatter communication, energy harvesting, physical-layer computation offloading, and non-intrusive sensing. Reconfigurable intelligent surfaces are used to support each of these functions. SUST(AI)N achieves awareness along three high-risk, complementary paths: 1: Reconfigurable intelligent circuits: fit to awareness need by post-installation hardware adaptation 2: Distributed, self-organizing global intelligence: awareness through probabilistic reasoning 3: Unprecedented self-awareness through ubiquitous radio sensing: group-sentiment recognition It achieves sustainability via demand-tailored adaptive hardware, energy and data-efficient AI,non-intrusive RF-sensing, energy harvesting, multi-party encryption.
Show more

Starting year

2022

End year

2026

Granted funding

666 710 €
Coordinator
YILDIZ TECHNICAL UNIVERSITY (TR)
339 563.75 €
Participant
UNIVERSITA DEGLI STUDI DI TRENTO (IT)
453 382.25 €
Participant
INSTITUT MINES-TELECOM (FR)
591 060 €
Participant
UNIVERSITAT POLITECNICA DE CATALUNYA (ES)
499 480 €
Participant

Amount granted

2 550 196 €

Funder

European Union

Funding instrument

HORIZON EIC Grants

Framework programme

Horizon Europe (HORIZON)

Call

Programme part
The European Innovation Council (EIC) (11739)
Call ID
HORIZON-EIC-2021-PATHFINDERCHALLENGES-01

Other information

Funding decision number

101071179

Identified topics

artificial intelligence, machine learning