Semantic BMS: Ontology for Analysis of Building Operation
Efficiency

D 2017

Semantic BMS: Ontology for Analysis of Building Operation Efficiency

KUČERA, Adam a Tomáš PITNER

Základní údaje

Originální název

Semantic BMS: Ontology for Analysis of Building Operation Efficiency

Autoři

KUČERA, Adam (203 Česká republika, garant, domácí) a Tomáš PITNER (203 Česká republika, domácí)

Vydání

Cham, Environmental Software Systems. Computer Science for Environmental Protection. od s. 349-359, 11 s. 2017

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Odkazy

URL

Kód RIV

RIV/00216224:14330/17:00100626

Organizační jednotka

Fakulta informatiky

ISBN

978-3-319-89934-3

ISSN

DOI

http://dx.doi.org/10.1007/978-3-319-89935-0_29

UT WoS

000455046700029

Klíčová slova anglicky

Facility management;Building automation systems;Semantic sensor network ontology;Decision support;Energy efficiency;Operation efficiency

Štítky

firank_B

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 5. 2020 19:17, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Citovat

KUČERA, Adam a Tomáš PITNER. Semantic BMS: Ontology for Analysis of Building Operation Efficiency. In Hřebíček J., Denzer R., Schimak G., Pitner T. 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.

@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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