Semantic BMS: Allowing usage of building automation data in
facility benchmarking

J 2018

Semantic BMS: Allowing usage of building automation data in facility benchmarking

KUČERA, Adam and Tomáš PITNER

Basic information

Original name

Semantic BMS: Allowing usage of building automation data in facility benchmarking

Authors

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

Edition

Advanced Engineering Informatics, 2018, 1474-0346

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 3.772

RIV identification code

RIV/00216224:14330/18:00102257

Organization unit

Faculty of Informatics

DOI

http://dx.doi.org/10.1016/j.aei.2018.01.002

UT WoS

000428494100005

Keywords in English

Facility management; Building automation systems; Semantic sensor network ontology; Decision support; Data integration

Abstract

V originále

Facility benchmarking and evaluation of facility performance are the crucial tasks in reaching efficient, economical and sustainable facility operation. Modern buildings are equipped with building automation systems (BAS) that contain vast numbers of various sensors that can be utilised in performance assessment. However, such systems lack convenient tools for data inspection, which limits their use in building performance and efficiency analysis and benchmarking especially on large sites. The paper presents a middleware layer designed to enrich BAS data with additional semantic information. As a semantic model, an adaptation of the Semantic Sensor Network (SSN) ontology for the field of building operation analysis is used. The middleware provides convenient interfaces for querying the model. The proposed system provides the facility managers with a convenient way to use the BAS data for benchmarking and decision support.

Citovat

KUČERA, Adam and Tomáš PITNER. Semantic BMS: Allowing usage of building automation data in facility benchmarking. Advanced Engineering Informatics. 2018, vol. 35, January, p. 69-84. ISSN 1474-0346. Available from: https://dx.doi.org/10.1016/j.aei.2018.01.002.

@article{1406272,
   author = {Kučera, Adam and Pitner, Tomáš},
   article_number = {January},
   doi = {http://dx.doi.org/10.1016/j.aei.2018.01.002},
   keywords = {Facility management; Building automation systems; Semantic sensor network ontology; Decision support; Data integration},
   language = {eng},
   issn = {1474-0346},
   journal = {Advanced Engineering Informatics},
   title = {Semantic BMS: Allowing usage of building automation data in facility benchmarking},
   url = {https://www.sciencedirect.com/science/article/pii/S147403461730023X},
   volume = {35},
   year = {2018}
}

TY  - JOUR
ID  - 1406272
AU  - Kučera, Adam - Pitner, Tomáš
PY  - 2018
TI  - Semantic BMS: Allowing usage of building automation data in facility benchmarking
JF  - Advanced Engineering Informatics
VL  - 35
IS  - January
SP  - 69-84
EP  - 69-84
SN  - 14740346
KW  - Facility management
KW  - Building automation systems
KW  - Semantic sensor network ontology
KW  - Decision support
KW  - Data integration
UR  - https://www.sciencedirect.com/science/article/pii/S147403461730023X
L2  - https://www.sciencedirect.com/science/article/pii/S147403461730023X
N2  - Facility benchmarking and evaluation of facility performance are the crucial tasks in reaching efficient, economical and sustainable facility operation. Modern buildings are equipped with building automation systems (BAS) that contain vast numbers of various sensors that can be utilised in performance assessment. However, such systems lack convenient tools for data inspection, which limits their use in building performance and efficiency analysis and benchmarking especially on large sites. The paper presents a middleware layer designed to enrich BAS data with additional semantic information. As a semantic model, an adaptation of the Semantic Sensor Network (SSN) ontology for the field of building operation analysis is used. The middleware provides convenient interfaces for querying the model. The proposed system provides the facility managers with a convenient way to use the BAS data for benchmarking and decision support.
ER  -

KUČERA, Adam and Tomáš PITNER. Semantic BMS: Allowing usage of building automation data in facility benchmarking. \textit{Advanced Engineering Informatics}. 2018, vol.~35, January, p.~69-84. ISSN~1474-0346. Available from: https://dx.doi.org/10.1016/j.aei.2018.01.002.

Detailed Information on Publication Record