2. Integration of IoT for Digital twinning

Integration of IoT for Digital twinning

GIMA
M-GEO
M-SE
ACQUAL
PLUS
Staff Involved
Mila Koeva
Pirouz Nourian
Farid Vahdatikhaki
M-SE Core knowledge areas
Spatial Information Science (SIS)
Technical Engineering (TE)
Additional Remarks

An internship in GATE can be organised

Suggested elective: 3D modelling for City Digital Twins based on geospatial information

Tips: Watch the recordings to get an idea of the output we produced recently with students: 

Session1:https://lnkd.in/eRBkyfTt

Session2: https://lnkd.in/ezefMFdc

Topic description

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 (e.g. via gaming technologies). 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.

Topic objectives and methodology

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 urban heat modelling, real-time traffic modelling and simulations. Possible methods to be explored: AI, generative design, parametric modelling, simulation  methods, data integration etc.

References for further reading

Papers:

  • Cárdenas, I., Koeva, M., Davey, C. & Nourian, P., (2024). Urban digital twin-based solution using geospatial information for solid waste management, Sustainable Cities and society
  • Campoverde C, Koeva M, Persello C, Maslov K, Jiao W, Petrova-Antonova D. Automatic Building Roof Plane Extraction in Urban Environments for 3D City Modelling Using Remote Sensing Data. Remote Sensing. (2024); 16(8):1386. https://doi.org/10.3390/rs16081386
  • Cárdenas, I., Koeva, M., Davey, C. & Nourian, P., (2024). Solid Waste in the Virtual World: A Digital Twinning Approach for Waste Collection Planning. Springer, p. 61-74 (Lecture Notes in Geoinformation and Cartography; vol. XIII).
  • La Guardia, M. , & Koeva, M. N. (2023). Towards Digital Twinning on the Web: Heterogeneous 3D Data Fusion Based on Open-Source Structure. Remote sensing, 15(3), Article 721. Advance online publication. https://doi.org/10.3390/rs15030721
  • de Vries, J., Atun, F., & Koeva, M. N. (2023). Analysis of Potential Disruptions from Earthquakes in Istanbul and 3D Model Based Risk Communication. IDRiM Journal, 13(2), 60-89.
  • Kumalasari, D. , Koeva, M. , Vahdatikhaki, F., Petrova Antonova, D. , & Kuffer, M. (2023). Planning walkable cities: Generative design approach towards digital twin implementation. Remote sensing, 15(4), Article 1088. https://doi.org/10.3390/rs15041088
  • Cárdenas, I. L., Morales, R., Koeva, M., Atun, F., & Pfeffer, K. (2023, Aug 31). Digital Twins for Physiological Equivalent Temperature Calculation Guide. Zenodo. https://doi.org/10.5281/ZENODO.8306456
  • 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.
  • Grift, J.,  Persello, C.,  Koeva ,M., (2024). CadastreVision: A benchmark dataset for cadastral boundary delineation from multi-resolution earth observation images.  ISPRS Journal of Photogrammetry and Remote Sensing, Volume 217, Pages 91-100, https://doi.org/10.1016/j.isprsjprs.2024.08.005.
  • Metaferia, M. T., Bennett, R. M., Alemie, B. K., & Koeva, M. (2023). Furthering Automatic Feature Extraction for Fit-for-Purpose Cadastral Updating: Cases from Peri-Urban Addis Ababa, Ethiopia. Remote Sensing, 15(17), 4155.
  • Ahsan, M. S., Hussain, E., Ali, Z., Zevenbergen, J., Atif, S., Koeva, M., & Waheed, A. (2023). Assessing the Status and Challenges of Urban Land Administration Systems Using Framework for Effective Land Administration (FELA): A Case Study in Pakistan. Land, 12(8), 1560.

Projects: https://sites.google.com/view/milakoeva/projects

Recent recordings:

Session1:https://lnkd.in/eRBkyfTtSession2: https://lnkd.in/ezefMFdc

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/

How can topic be adapted to Spatial Engineering

The topic is suitable for Spatial Engineering students since it is multidisciplinary and is focused on wicked problems.