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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 (author) / Taheri, Mahnameh (author) / Schuss, Matthias (author) / Tahmasebi, Farhang (author) / Glawischnig, Stefan (author)
Exploring Occupant Behavior in Buildings ; 261-286
2017-10-29
26 pages
Article/Chapter (Book)
Electronic Resource
English
Structured building monitoring: Ontologies and platform
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