Challenges in the data collection for diagnostics of smart buildings

Sanja Lazarova-Molnar*, Nader Mohamed

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

The rise of smart buildings, i.e. buildings equipped with latest technology and built according to cutting-edge architectural advances, implies increased buildings’ complexity. For this reason, both new and retrofitted buildings are often susceptible to new and unforeseen faults, whose timely detection and servicing can significantly affect buildings performance. Many Fault Detection and Diagnosis (FDD) methods are data-driven, where the quality of collected data can significantly affect the accuracy of results. However, data collection for FDD of buildings is a challenging task as needed data is not typically readily available. In this paper we focus on the data collection for FDD of smart buildings. This forms the motivation of this paper, i.e. to identify the challenges that relate to data collection processes for FDD of buildings, as well as propose workarounds of how to tackle the more important ones. Furthermore, we also look into how new technologies can be useful for this goal.

OriginalsprogEngelsk
TitelInformation Science and Applications (ICISA) 2016
RedaktørerKuinam J. Kim, Nikolai Joukov
Vol/bindVI
ForlagSpringer
Publikationsdato2016
Sider941-951
ISBN (Trykt)978-981-10-0556-5
ISBN (Elektronisk)978-981-10-0557-2
DOI
StatusUdgivet - 2016
Begivenhed7th International Conference on Information Science and Applications - Ho Chi Minh City, Vietnam
Varighed: 15. feb. 201618. feb. 2016

Konference

Konference7th International Conference on Information Science and Applications
LandVietnam
ByHo Chi Minh City
Periode15/02/201618/02/2016
NavnLecture Notes in Electrical Engineering
Vol/bind376
ISSN1876-1100

Fingeraftryk

Intelligent buildings
Fault detection
Failure analysis

Citer dette

Lazarova-Molnar, S., & Mohamed, N. (2016). Challenges in the data collection for diagnostics of smart buildings. I K. J. Kim, & N. Joukov (red.), Information Science and Applications (ICISA) 2016 (Bind VI, s. 941-951). Springer. Lecture Notes in Electrical Engineering, Bind. 376 https://doi.org/10.1007/978-981-10-0557-2_90
Lazarova-Molnar, Sanja ; Mohamed, Nader. / Challenges in the data collection for diagnostics of smart buildings. Information Science and Applications (ICISA) 2016. red. / Kuinam J. Kim ; Nikolai Joukov. Bind VI Springer, 2016. s. 941-951 (Lecture Notes in Electrical Engineering, Bind 376).
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title = "Challenges in the data collection for diagnostics of smart buildings",
abstract = "The rise of smart buildings, i.e. buildings equipped with latest technology and built according to cutting-edge architectural advances, implies increased buildings’ complexity. For this reason, both new and retrofitted buildings are often susceptible to new and unforeseen faults, whose timely detection and servicing can significantly affect buildings performance. Many Fault Detection and Diagnosis (FDD) methods are data-driven, where the quality of collected data can significantly affect the accuracy of results. However, data collection for FDD of buildings is a challenging task as needed data is not typically readily available. In this paper we focus on the data collection for FDD of smart buildings. This forms the motivation of this paper, i.e. to identify the challenges that relate to data collection processes for FDD of buildings, as well as propose workarounds of how to tackle the more important ones. Furthermore, we also look into how new technologies can be useful for this goal.",
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Lazarova-Molnar, S & Mohamed, N 2016, Challenges in the data collection for diagnostics of smart buildings. i KJ Kim & N Joukov (red), Information Science and Applications (ICISA) 2016. bind VI, Springer, Lecture Notes in Electrical Engineering, bind 376, s. 941-951, 7th International Conference on Information Science and Applications, Ho Chi Minh City, Vietnam, 15/02/2016. https://doi.org/10.1007/978-981-10-0557-2_90

Challenges in the data collection for diagnostics of smart buildings. / Lazarova-Molnar, Sanja; Mohamed, Nader.

Information Science and Applications (ICISA) 2016. red. / Kuinam J. Kim; Nikolai Joukov. Bind VI Springer, 2016. s. 941-951 (Lecture Notes in Electrical Engineering, Bind 376).

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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AU - Mohamed, Nader

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Lazarova-Molnar S, Mohamed N. Challenges in the data collection for diagnostics of smart buildings. I Kim KJ, Joukov N, red., Information Science and Applications (ICISA) 2016. Bind VI. Springer. 2016. s. 941-951. (Lecture Notes in Electrical Engineering, Bind 376). https://doi.org/10.1007/978-981-10-0557-2_90