Detailed Information on Publication Record
2016
Semantic BMS: Ontology for Analysis of Building Automation Systems Data
KUČERA, Adam and Tomáš PITNERBasic information
Original name
Semantic BMS: Ontology for Analysis of Building Automation Systems Data
Authors
KUČERA, Adam (203 Czech Republic, guarantor, belonging to the institution) and Tomáš PITNER (203 Czech Republic, belonging to the institution)
Edition
Cham, DoCEIS 2016: Technological Innovation for Cyber-Physical Systems, p. 46-53, 8 pp. 2016
Publisher
Springer International Publishing
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/16:00090418
Organization unit
Faculty of Informatics
ISBN
978-3-319-31164-7
ISSN
UT WoS
000406878200005
Keywords in English
Computer-aided facility management;Building management systems;Intelligent buildings;Building automation systems;Semantic web;Ontology;Semantic sensor network ontology;Data integration
Tags
Tags
International impact, Reviewed
Změněno: 13/4/2018 15:56, RNDr. Adam Kučera, Ph.D.
Abstract
V originále
Building construction has gone through 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 and that are able to communicate and collaborate. However, BAS aim to facilitate operation of the building and do not provide sufficient support for strategic level decision support. This article presents adaptation of Semantic Sensor Network ontology for use in the field of building operation analysis. The Semantic BMS ontology enriches the SSN with model of building automation datapoints that gather operation data and describe the interconnections between BAS devices, algorithms and influenced or monitored properties of a building. Proposed ontology allows facility managers to query BAS systems in a way that is convenient for tactical and strategic level planning and that is unavailable in current state of the art systems.