Fernandez, Jaime B. ORCID: 0000-0001-9774-3879 and Mahon, Kieran (2022) Dublin City University digital twin: test bed for IoT sensor data visualization. In: CiyVis 2022, 4 Nov 2022, Potsdam, Germany.
Abstract
It is said that a picture is worth a thousand words, what would it worth a digital 3D model then. A digital 3D model that can be explored and manipulated by the user. Digital Twin is a digital 3D model reconstruction of a specific area populated with normal objects such as Buildings, houses, fields where data can be exchanged between the physical word and the digital version. A digital Model, once constructed, can be manipulated for several purposes and applications such as test bed and data visualization. In this work a digital twin of the Dublin City University is presented and how it can be used to deploy real time sensor information. The digital twins were created using drone imagery and Bentley Context Capture software. OpenCities Planner is used to deploy the models online and to link with the IoT sensors. The steps followed from collecting the drone imagery to the final deployment of the digital twin are presented as they are important points to take into consideration when using the presented methodology.
Metadata
Item Type: | Conference or Workshop Item (Invited Talk) |
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Event Type: | Workshop |
Refereed: | Yes |
Uncontrolled Keywords: | Digital Twins; IoT Sensors; Drones Imagery; Data Visualization |
Subjects: | Computer Science > Artificial intelligence Computer Science > Computer simulation Computer Science > Image processing Computer Science > Visualization Engineering > Virtual reality Engineering > Systems engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Funders: | Bentley Systems, Science Foundation Ireland (SFI) under grant number SFI/12/RC/2289_P2 |
ID Code: | 27932 |
Deposited On: | 23 Nov 2022 14:58 by Jaime Boanerjes Fernandez Roblero . Last Modified 23 Nov 2022 15:00 |
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