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Utilising latent data in smart buildings: a process model to collect, analyse and make building data accessible for smart industries

Pourzolfaghar, Zohreh orcid logoORCID: 0000-0001-8282-7260 and Helfert, Markus orcid logoORCID: 0000-0001-6546-6408 (2017) Utilising latent data in smart buildings: a process model to collect, analyse and make building data accessible for smart industries. In: FedCSIS 2017, 3-6 Sep 2017, Prague, Czech Republic.

Smart buildings are embedded with large amounts of latent data from different sources, e.g. IoT devices, sensors, and the like. Integration of this latent data with the buildings information can highly impact efficiency services provided by various industries such as facility management companies, utility companies, smart commerce, and so forth. To enable the integration of buildings information, diverse technologies such as Building Information Modelling (BIM) have been developed and changed the traditional approaches. Notwithstanding a plethora of research in this area, potential users of this information such as facility management companies are still unable to fully benefit from the building information. This is due to this fact that various information and data have been heterogeneously scattered across various sources. To overcome this challenge, this research follows the design science approach to propose a process model to address facility management concerns in terms of the ability to access the combination of building information with live data captured from various sources. The presented process model is introduced thoroughly by explaining the required steps to collect and integrate this information with the live data. The Artifact evaluation of the process model was undertaken via the employment of a focus group session with the construction professionals, the IoT experts, and the data analysts. Also, this paper elaborates on two industrial use-cases to demonstrate how having access to the building information effectively affects the other industries. The outcome of this research provides an open access to the integrated building information and live data for diverse range of users.
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Additional Information:ISSN 2300-5963
Uncontrolled Keywords:building information management; data capture; IOT devices; sensors; building Information Modelling (BIM)
Subjects:Business > Innovation
Computer Science > Information storage and retrieval systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > Lero: The Irish Software Engineering Research Centre
Research Institutes and Centres > ADAPT
Published in: Position papers of the Federated Conference on Computer Science and Information Systems. Annals of computer science and information systems 13. Polskie Towarzystwo Informatyczne,Polish Information Processing Society.
Publisher:Polskie Towarzystwo Informatyczne,Polish Information Processing Society
Official URL:http://dx.doi.org/10.15439/2017F545
Copyright Information:© 2017 PTI
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland grant no. 13/RC/2094, European Regional Development Fund through the Southern & Eastern Regional Operational Programme to Lero - the Irish Software Research Centre
ID Code:22124
Deposited On:01 Dec 2017 10:16 by Zohreh Pourzolfaghar . Last Modified 24 Jul 2019 13:58

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