Integration of IoT for Digital twinning
An internship in GATE can be organised
Suggested elective: 3D modelling for City Digital Twins based on geospatial information
The digital twin (DT) (smart city/3D modelling) topic currently attracts the attention and interest of many cities, authorities, industrial and research organizations at national, European and international levels. DT has been seen as a digital replica of the physical living environments that supports decision-making through the seamless integration of a myriad of data and analytics techniques. As such, DT is not a mere geometric (2D and 3D) representation of static assets but a dynamic/live model that represents their past, current, and future states. With that definition in mind, a wide area of research encompassing living environmental modelling, Building Information Modelling (BIM), Geospatial Information Systems (GIS), Internet of Things (IoT), Artificial Intelligence (AI), Virtual Reality (VR), and Urban Decision Support Systems is explored and integrated.
This topic will investigate the methods for (IoT) sensor data integration. The topic is based on collaboration with GATE institute in Bulgaria (Sofia), which will be the main data provider and will support the supervision. GATE have established city living lab which collects real-time data for the urban environment, traffic and other data that is useful for modelling urban processes and objects. It is established in a dedicated area of Sofia.
This research will focus on methods for the integration of IoT for the Digital Twin application. The focus is on sensor data integration and the use of the geospatial applications to provide real-time data simulation for a concrete problem. Depending on the interest of the student, the application can be further developed. A possible direction can be to investigate methods for real-time traffic modelling and simulations and validate the results with the existing noise map. Possible methods to be explored: generative design, parametric modelling, etc.
Papers:
- Hu, C., Fan, W., Zeng, E., Hang, Z., Wang, F., Qi, L., & Bhuiyan, M. Z. A. (2021). Digital twin-assisted real-time traffic data prediction method for 5G-enabled internet of vehicles. IEEE Transactions on Industrial Informatics, 18(4), 2811-2819.
- Z. Wang et al., "Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges," in IEEE Internet of Things Journal, vol. 9, no. 18, pp. 17452-17467, 15 Sept.15, 2022, doi: 10.1109/JIOT.2022.3156028.
- La Guardia, M., Koeva, M., D'Ippolito, F., & Karam, S. (2022). 3D DATA INTEGRATION FOR WEB BASED OPEN SOURCE WebGL INTERACTIVE VISUALISATION. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
- Lehtola, V. V., Koeva, M., Elberink, S. O., Raposo, P., Virtanen, J. P., Vahdatikhaki, F., & Borsci, S. (2022). Digital twin of a city: Review of technology serving city needs. International Journal of Applied Earth Observation and Geoinformation, 102915.
- Khawte, S. S., Koeva, M. N., Gevaert, C. M., Oude Elberink, S., & Pedro, A. A. (2022). DIGITAL TWIN CREATION FOR SLUMS IN BRAZIL BASED ON UAV DATA. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
- Ying, Y., Koeva, M., Kuffer, M., & Zevenbergen, J. (2022). Toward 3D Property Valuation—A Review of Urban 3D Modelling Methods for Digital Twin Creation. ISPRS International Journal of Geo-Information, 12(1), 2.
- de Vries, J., Atun, F., & Koeva, M. N. (2022). ASSESSING POTENTIAL DISRUPTIONS FROM EARTHQUAKES IN THE HISTORICAL PENINSULA IN ISTANBUL USING 3D MODELLING. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
Talks: https://www.utwente.nl/en/digital-society/research/digitalisation/digital-twin-geohub/talks/
Research: https://www.utwente.nl/en/digital-society/research/digitalisation/digital-twin-geohub/research/msc-thesis/
The topic is suitable for Spatial Engineering students since it is multidisciplinary and is focused on wicked problems.