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.
Other formats:   BibTeX LaTeX RIS
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
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/00216224:14330/17:00100626
Organization unit Faculty of Informatics
ISBN 978-3-319-89934-3
ISSN 1868-4238
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
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 13/5/2020 19:17.
Abstract
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.
PrintDisplayed: 11/5/2024 01:57