D 2016

Semantic BMS: Ontology for Analysis of Building Automation Systems Data

KUČERA, Adam and Tomáš PITNER

Basic 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.