Semantic BMS: Ontology for Analysis of Building Operation
Efficiency

D 2017

Semantic BMS: Ontology for Analysis of Building Operation Efficiency

KUČERA, Adam and Tomáš PITNER

Basic information

Original name

Semantic BMS: Ontology for Analysis of Building Operation Efficiency

Authors

KUČERA, Adam (203 Czech Republic, guarantor, belonging to the institution) and Tomáš PITNER (203 Czech Republic, belonging to the institution)

Edition

Cham, Environmental Software Systems. Computer Science for Environmental Protection. p. 349-359, 11 pp. 2017

Publisher

Springer

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

RIV identification code

RIV/00216224:14330/17:00100626

Organization unit

Faculty of Informatics

ISBN

978-3-319-89934-3

ISSN

DOI

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

UT WoS

000455046700029

Keywords in English

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

Abstract

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 and 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, p. 349-359. ISBN 978-3-319-89934-3. Available from: 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 and 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, p.~349-359. ISBN~978-3-319-89934-3. Available from: https://dx.doi.org/10.1007/978-3-319-89935-0\_{}29.

Detailed Information on Publication Record