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@inproceedings{1415238,
author = {Kučera, Adam and Pitner, Tomáš},
address = {Cham},
booktitle = {Environmental Software Systems. Computer Science for Environmental Protection.},
doi = {http://dx.doi.org/10.1007/978-3-319-89935-0_29},
editor = {Hřebíček J., Denzer R., Schimak G., Pitner T.},
keywords = {Facility management;Building automation systems;Semantic sensor network ontology;Decision support;Energy efficiency;Operation efficiency},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Cham},
isbn = {978-3-319-89934-3},
pages = {349-359},
publisher = {Springer},
title = {Semantic BMS: Ontology for Analysis of Building Operation Efficiency},
url = {https://link.springer.com/chapter/10.1007%2F978-3-319-89935-0_29},
year = {2017}
}
TY - JOUR
ID - 1415238
AU - Kučera, Adam - Pitner, Tomáš
PY - 2017
TI - Semantic BMS: Ontology for Analysis of Building Operation Efficiency
PB - Springer
CY - Cham
SN - 9783319899343
KW - Facility management;Building automation systems;Semantic sensor network ontology;Decision support;Energy efficiency;Operation efficiency
UR - https://link.springer.com/chapter/10.1007%2F978-3-319-89935-0_29
N2 - Building construction has gone through a significant change with the emerging spread of ICT during last decades. Intelligent buildings are equipped with building automation systems (BAS) that can be remotely controlled and programmed. However, such systems lack convenient tools for data inspection, making building performance and efficiency analysis demanding on large sites. The paper presents an adaptation of Semantic Sensor Network ontology for use in the field of building operation analysis. The proposed Semantic BMS ontology enriches the SSN with a model of building automation data points and describes relations between BAS and physical properties of a building. Proposed ontology allows facility managers to conveniently query BAS systems, providing decision support for tactical and strategic level planning.
ER -
KUČERA, Adam a Tomáš PITNER. Semantic BMS: Ontology for Analysis of Building Operation Efficiency. In Hřebíček J., Denzer R., Schimak G., Pitner T. \textit{Environmental Software Systems. Computer Science for Environmental Protection.}. Cham: Springer, 2017, s.~349-359. ISBN~978-3-319-89934-3. Dostupné z: https://dx.doi.org/10.1007/978-3-319-89935-0\_{}29.
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