Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Structured Building Data Management: Ontologies, Queries, and Platforms
Abstract Building data monitoring, in general, and occupancy-related data collection in particular have the potential to provide deep performance feedback for: (1) operational optimization of existing facilities and (2) improving future designs. For instance, building monitoring can support energy and performance contracting, preventive building maintenance, smart load balancing, and model-predictive building systems control. Nevertheless, currently this potential is not sufficiently realized. To address a major gap in the current practice, the present chapter first introduces an ontology for the representation and incorporation of various kinds of building monitoring data in a number of applications such as building performance simulation tools and building automation systems. Subsequently, common data processing requirements are addressed and a number of typical queries are exemplified that building monitoring data repositories must support. Finally, data repository specifications and implementations for structured collection, storage, processing, and multi-user exchange of monitored data are described.
Structured Building Data Management: Ontologies, Queries, and Platforms
Abstract Building data monitoring, in general, and occupancy-related data collection in particular have the potential to provide deep performance feedback for: (1) operational optimization of existing facilities and (2) improving future designs. For instance, building monitoring can support energy and performance contracting, preventive building maintenance, smart load balancing, and model-predictive building systems control. Nevertheless, currently this potential is not sufficiently realized. To address a major gap in the current practice, the present chapter first introduces an ontology for the representation and incorporation of various kinds of building monitoring data in a number of applications such as building performance simulation tools and building automation systems. Subsequently, common data processing requirements are addressed and a number of typical queries are exemplified that building monitoring data repositories must support. Finally, data repository specifications and implementations for structured collection, storage, processing, and multi-user exchange of monitored data are described.
Structured Building Data Management: Ontologies, Queries, and Platforms
Mahdavi, Ardeshir (Autor:in) / Taheri, Mahnameh (Autor:in) / Schuss, Matthias (Autor:in) / Tahmasebi, Farhang (Autor:in) / Glawischnig, Stefan (Autor:in)
Exploring Occupant Behavior in Buildings ; 261-286
29.10.2017
26 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Structured building monitoring: Ontologies and platform
| TIBKAT | 2016
Building ontologies for disaster management: Seismic risk domain
| British Library Conference Proceedings | 2009
Structured Vocabularies in Construction: Classifications, Taxonomies and Ontologies
| Springer Verlag | 2018
| TIBKAT | 2017
Reusing domain ontologies in linked building data : the case of building automation and control
| BASE | 2017