SCUBA
Beschreibung
SCUBA will create a novel architecture, services, and engineering methodologies for robust, adaptive, self-organising, and cooperating monitoring and control systems. This addresses the current problems of heterogeneity and interoperability, installation and commissioning complexity, and adaptability and robustness in the building monitoring and control space. SCUBA will provide a proof of concept of this approach by demonstrating how self-organisation will lead to simpler engineering, commissioning, and flexible maintenance and how cooperation among heterogeneous, multi-vendor building monitoring and control systems will make the system more adaptive and robust, and as an example how this will benefit in making buildings more energy efficient and safer.
SCUBA proposes the following solution to the problems identified above.
- Development of an architecture for building system interoperability and cooperation. This will include the development of semantics for device, system and application level functions to create the basis for cooperation in heterogeneous, multi-vendor, multi-domain building monitoring and control systems and thus enables interoperability and cooperation.
- Development of a systematic engineering approach for interoperable, self-organising, and robust monitoring and control systems for building automation
- Development of a self-organisation device layer using a resource efficient middleware platform based on the CEA rule-based resource oriented Chaski middleware.
- Development of a service-based system concept with service discovery and semantic descriptions for information exchange and self-organisation at the system layer of building automation systems. The service oriented approach together with the semantic models will provide the basis cooperation among heterogeneous, multi-vendor, multi-domain building monitoring and control systems.
- Techniques and algorithms for
- adaptive and cooperative monitoring and control services to improve building energy efficiency.
- scenario recognition and diagnosis services that will make building monitoring and control sys-tems more robust as they will be able to recognize faults and emergency situations and use the self-organising features of the system to adapt, through cooperation, to such situations thus mak-ing buildings safer.
Projektdetails
- Förderinstitut: Europäische Kommision, 7th Framework Programm, ICT - Large Scale Integration Project
- Laufzeit: 36 Monate
- Projektpartner:
- Weiterführende Informationen:
Kontakt
Mr Dipl.-Inf. Matthias Lehmann
Wissenschaftlicher Mitarbeiter
Send encrypted email via the SecureMail portal (for TUD external users only).