Abstract
Smart buildings are buildings equipped with the latest technological and architectural solutions, controlled by Building Management Systems (BMS), operating in fulfillment of the typical goals of increasing occupants’ comfort and reducing buildings’ energy consumption. We witness a slow, but steadily increasing trend in the number of buildings that become smart. The increase in availability and the decrease in prices of sensors and meters, have made them almost standard elements in buildings; both in newly built and existing ones. Sensors and meters enable growing collections of data from buildings that is available for further analytics to support meeting BMS’ performance goals. For a single building to benefit from this data-based analytics, it will take a long time. Collaboration of BMS in their data analytics processes can significantly shorten this time period. This paper makes two contributions: one, a careful examination of the potential of buildings for collaborative data analytics; and two, description of models for collaborative data analytics.
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References
Wilkinson, D.M., Huberman, B.A.: Cooperation and quality in Wikipedia, pp. 157–164. ACM
Frenklach, M., Packard, A., Seiler, P., Feeley, R.: Collaborative data processing in developing predictive models of complex reaction systems. Int. J. Chem. Kinet. 36, 57–66 (2004)
Seiler, P., Frenklach, M., Packard, A., Feeley, R.: Numerical approaches for collaborative data processing. Optim. Eng. 7, 459–478 (2006)
Noël, S., Lemire, D.: On the challenges of collaborative data processing. In: Collaborative Information Behavior: User Engagement and Communication Sharing: User Engagement and Communication Sharing, vol. 55 (2010)
Wang, S., Xie, J.: Integrating building management system and facilities management on the Internet. Autom. Constr. 11, 707–715 (2002)
Agarwal, Y., Gupta, R., Komaki, D., Weng, T.: BuildingDepot: an extensible and distributed architecture for building data storage, access and sharing. In: Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, pp. 64–71. ACM (2012)
Granzer, W., Praus, F., Kastner, W.: Security in building automation systems. IEEE Trans. Industr. Electron. 57, 3622–3630 (2010)
Lazarova-Molnar, S., Shaker, H.R., Mohamed, N.: Fault detection and diagnosis for smart buildings: state of the art, trends and challenges. In: 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), pp. 1–7. IEEE (2016)
Lazarova-Molnar, S., Kjærgaard, M.B., Shaker, H.R., Jørgensen, B.N.: Commercial buildings energy performance within context: occupants in spotlight. In: SmartGreens 2015 (2015)
Lazarova-Molnar, S., Shaker, H.R., Mohamed, N.: Reliability of cyber physical systems with focus on building management systems. In: IEEE International Workshop on Communication, Computing, and Networking in Cyber Physical Systems (CCN-CPS) in Association with IEEE International Performance Computing and Communications Conference (IPCCC 2016). IEEE, Las Vegas (2016)
Mohamed, N., Lazarova-Molnar, S., Al-Jaroodi, J.: CE-BEMS: a cloud-enabled building energy management system. In: 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC), pp. 1–6. IEEE (2016)
Mohamed, N., Lazarova-Molnar, S., Al-Jaroodi, J.: SBDaaS: smart building diagnostics as a service on the cloud. In: 2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG), pp. 1–6. IEEE (2016)
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This work is supported by the Innovation Fund Denmark for the project COORDICY.
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Lazarova-Molnar, S., Mohamed, N. (2017). Towards Collaborative Data Analytics for Smart Buildings. In: Kim, K., Joukov, N. (eds) Information Science and Applications 2017. ICISA 2017. Lecture Notes in Electrical Engineering, vol 424. Springer, Singapore. https://doi.org/10.1007/978-981-10-4154-9_53
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DOI: https://doi.org/10.1007/978-981-10-4154-9_53
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