TY - GEN
T1 - Towards systematic reliability modeling of smart buildings
AU - Lazarova-Molnar, Sanja
AU - Markoska, Elena
AU - Shaker, Hamid Reza
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/28
Y1 - 2017/6/28
N2 - Building Management Systems (BMS) monitor and control smart buildings. We are witnessing a trend of BMS becoming increasingly sophisticated and delivering more advanced services. The downside of this is that the complexity of BMS is also increasing, thus, making smart buildings vulnerable to various malfunctions and faults. We anticipate that reliability of smart buildings will be gaining in importance, especially for BMS of critical buildings, such as hospitals or buildings that host emergency services or store sensitive materials or technologies, whose unreliable operation could have catastrophic consequences. The assistance, however, is in the large amounts of easily available data that implies possibilities for development of highly accurate reliability models. Cloud computing can be also utilized to support collaborative sharing and benefitting from each other building's data. To utilize all of the above stated, we have developed a cloud-based BMS reliability analysis framework that we describe and illustrate in this paper.
AB - Building Management Systems (BMS) monitor and control smart buildings. We are witnessing a trend of BMS becoming increasingly sophisticated and delivering more advanced services. The downside of this is that the complexity of BMS is also increasing, thus, making smart buildings vulnerable to various malfunctions and faults. We anticipate that reliability of smart buildings will be gaining in importance, especially for BMS of critical buildings, such as hospitals or buildings that host emergency services or store sensitive materials or technologies, whose unreliable operation could have catastrophic consequences. The assistance, however, is in the large amounts of easily available data that implies possibilities for development of highly accurate reliability models. Cloud computing can be also utilized to support collaborative sharing and benefitting from each other building's data. To utilize all of the above stated, we have developed a cloud-based BMS reliability analysis framework that we describe and illustrate in this paper.
UR - http://www.scopus.com/inward/record.url?scp=85044526199&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044526199&partnerID=8YFLogxK
U2 - 10.1109/WSC.2017.8247977
DO - 10.1109/WSC.2017.8247977
M3 - Conference contribution
AN - SCOPUS:85044526199
T3 - Proceedings - Winter Simulation Conference
SP - 2484
EP - 2494
BT - 2017 Winter Simulation Conference, WSC 2017
A2 - Chan, Victor
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 Winter Simulation Conference, WSC 2017
Y2 - 3 December 2017 through 6 December 2017
ER -