Smart Building Sensitive to Daily Sentiment
SUST(AI)N aims to create self-aware smart buildings by integrating advanced distributed intelligence, reconfigurable hardware, and precise environmental sensing for enhanced sustainability and monitoring.
Projectdetails
Introduction
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 kinds, instead of actual awareness, nowadays at most unconscious processing (C0) is reached.
Project Overview
SUST(AI)N derives theoretical and experimental underpinnings to combine novel distributed intelligence, unprecedented 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)
- Self-monitoring (C21; via distributed probabilistic intelligence and the sensing of group sentiment)
Simplification of Intelligent Systems
We simplify intelligent building hardware and systems by exploiting electromagnetic signals jointly for:
- Backscatter communication
- Energy harvesting
- Physical-layer computation offloading
- Non-intrusive sensing
Reconfigurable intelligent surfaces are used to support each of these functions.
Paths to Awareness
SUST(AI)N achieves awareness along three high-risk, complementary paths:
- Reconfigurable intelligent circuits: fit to awareness need by post-installation hardware adaptation
- Distributed, self-organizing global intelligence: awareness through probabilistic reasoning
- Unprecedented self-awareness through ubiquitous radio sensing: group-sentiment recognition
Sustainability Goals
It achieves sustainability via:
- Demand-tailored adaptive hardware
- Energy and data-efficient AI
- Non-intrusive RF-sensing
- Energy harvesting
- Multi-party encryption
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.550.196 |
Totale projectbegroting | € 2.550.196 |
Tijdlijn
Startdatum | 1-10-2022 |
Einddatum | 31-3-2026 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- AALTO KORKEAKOULUSAATIO SRpenvoerder
- UNIVERSITA DEGLI STUDI DI TRENTO
- INSTITUT MINES-TELECOM
- YILDIZ TECHNICAL UNIVERSITY
- UNIVERSITAT POLITECNICA DE CATALUNYA
Land(en)
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Inter materials and structures mechanoperception for self learning
IMMENSE aims to develop self-learning, adaptive materials and structures that can sense, signal, and react to environmental stimuli, paving the way for innovative applications in various fields.
Haalbaarheidsstudie ontwikkeling intelligente klimaatregelingen
Peutz onderzoekt de haalbaarheid van een intelligent klimaatregelsysteem voor gebouwen dat energieverbruik voorspelt en aanstuurt met behulp van AI en ML.