Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59636

DBL SmartCity: An Open-Source IoT Platform for Managing Large BIM and 3D Geo-Referenced Datasets

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dc.contributor.author Kolaric, Sinisa
dc.contributor.author Shelden, Dennis R.
dc.date.accessioned 2019-01-02T23:58:58Z
dc.date.available 2019-01-02T23:58:58Z
dc.date.issued 2019-01-08
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/59636
dc.description.abstract The `smart city' approach has been promoted as an effective way to manage urban environments. Information and communication technology in general, as well as `Internet of Things' systems in particular, constitute an essential component of all smart city initiatives. However, many past and current smart city implementations place only an insufficient emphasis on the geo-spatial and 3D nature of data. In order to fill this gap, we present DBL SmartCity, an open-source smart city IoT platform that is based on open standards and designed from the ground-up to effectively store, manage, and present large sets of BIM and 3D geo-referenced data.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Smart City Digital Twins
dc.subject Decision Analytics, Mobile Services, and Service Science
dc.subject smart city, internet of things, IoT, building information modeling, BIM
dc.title DBL SmartCity: An Open-Source IoT Platform for Managing Large BIM and 3D Geo-Referenced Datasets
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2019.238
Appears in Collections: Smart City Digital Twins


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