Semantic BMS: Allowing usage of building automation data in facility benchmarking
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00102257" target="_blank" >RIV/00216224:14330/18:00102257 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S147403461730023X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S147403461730023X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.aei.2018.01.002" target="_blank" >10.1016/j.aei.2018.01.002</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Semantic BMS: Allowing usage of building automation data in facility benchmarking
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Semantic BMS: Allowing usage of building automation data in facility benchmarking
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Advanced Engineering Informatics
ISSN
1474-0346
e-ISSN
—
Svazek periodika
35
Číslo periodika v rámci svazku
January
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
16
Strana od-do
69-84
Kód UT WoS článku
000428494100005
EID výsledku v databázi Scopus
2-s2.0-85041405489