Özgür DOĞAN, Oğuzhan ŞAHİN, Enis KARAARSLAN

Digital Twin Based Disaster Management System Proposal: DT-DMS

The damage and the impact of natural disasters are becoming more destructive with the increase of urbanization. Today's metropolitan cities are not sufficiently prepared for the pre and post-disaster situations. Digital Twin technology can provide a solution. A virtual copy of the physical city could be created by collecting data from sensors of the Internet of Things (IoT) devices and stored on the cloud infrastructure. This virtual copy is kept current and up to date with the continuous flow of the data coming from the sensors. We propose a disaster management system utilising machine learning called DT-DMS is used to support decision-making mechanisms. This study aims to show how to educate and prepare emergency centre staff by simulating potential disaster situations on the virtual copy. The event of a disaster will be simulated allowing emergency centre staff to make decisions and depicting the potential outcomes of these decisions. A rescue operation after an earthquake is simulated. Test results are promising and simulation scope is planned to be extended.

Anahtar Kelimeler:

Smart city, Digital Twin, IoT, IoT Connectivity, Digital transformation, Cyber-Physical Systems, Disaster management

Digital Twin Based Disaster Management System Proposal: DT-DMS

Keywords:

Smart city, Digital Twin, IoT, IoT Connectivity, Digital transformation, Cyber-Physical Systems, Disaster management,

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Coppola, D. P. (2006). Introduction to international disaster management. Elsevier.
Caragliu, A., Del Bo, C., & Nijkamp, P. (2011). Smart cities in Europe. Journal of urban technology, 18(2), 65-82.
United Nations, “World Urbanization Prospects: The 2018 Revision
Su, Kehua, Jie Li, and Hongbo Fu. "Smart city and the applications." 2011 international conference on electronics, communications and control (ICECC). IEEE, 2011.
Brian, H., Brunschwiler, T., Dill, H., Christ, H., Falsafi, B., Fischer, M., & Kaiserswerth, M. (2008). Cloud computing. Communications of the ACM, 51(7), 9-11.
Nofer, Michael, et al. "Blockchain." Business & Information Systems Engineering 59.3 (2017): 183-187.
Tan, L., & Wang, N. (2010, August). Future internet: The internet of things. In 2010 3rd international conference on advanced computer theory and engineering (ICACTE) (Vol. 5, pp. V5-376). IEEE.
Madalli, D. P., Barve, S., & Amin, S. (2012). Digital preservation in open-source digital library software. The Journal of Academic Librarianship, 38(3), 161-164.
Sun, H., Wang, C., & Ahmad, B. I. (2017). From Internet of Things to Smart Cities: Enabling Technologies. Chapman and Hall/CRC.
S. Smith, IoT Connected Devices to Triple to Over 38Bn Units, Juniper Research, 2020. [Online]. Available:https://www.juniperresearch.com/press/press-releases/iot-connected-devices-to-triple-to-38-bn-by-2020
Farsi, Maryam, et al., eds. Digital Twin Technologies and Smart Cities. Springer, 2020.
Aydın, Ö., & Karaarslan, E. (2020, June). Covid-19 Belirtilerinin Tespiti İçin Dijital İkiz Tabanlı Bir Sağlık Bilgi Sistemi. Online International Conference of COVID-19 (CONCOVID).
Yukcu, S., & Aydin, Ö. (2020). Maliyet Düşürme Yöntemi Olarak Dijital İkiz. Muhasebe Bilim Dünyası Dergisi, 22(3), 563-579
Fan, C., Zhang, C., Yahja, A., & Mostafavi, A. (2021). Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management. International Journal of Information Management, 56, 102049.
Yükçü, S., Aydin, Ö., & Koçakoğlu, Ü. Ö. (2020). Bağimsiz Denetimde Dijital İkiz Uygulamasi. Mali Cozum Dergisi/Financial Analysis, 30(161).
Ham, Youngjib, and Jaeyoon Kim. "Participatory Sensing and Digital Twin City: Updating Virtual City Models for Enhanced Risk-Informed Decision-Making." Journal of Management in Engineering 36.3 (2020): 04020005.
Damjanovic-Behrendt, V., & Behrendt, W. (2019). An open source approach to the design and implementation of Digital Twins for Smart Manufacturing. International Journal of Computer Integrated Manufacturing, 32(4-5), 366-384.
CADENAS, Cecilia. Geovisualization: Integration and Visualization of Multiple Datasets Using Mapbox. 2014.
Beamer, Scott, Krste Asanovic, and David Patterson. "Direction-optimizing breadth-first search." SC'12: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis. IEEE, 2012.
VERWER, Ben J.. H.. ; VERBEEK, Piet W.. ; DEKKER, Simon T.. . An efficient uniform cost algorithm applied to distance transforms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989, 11.4: 425-429.
Collobert, Ronan, et al. "Natural language processing (almost) from scratch." Journal of machine learning research 12.ARTICLE (2011): 2493-2537.
Adhikari, A., Ram, A., Tang, R., & Lin, J. (2019). Docbert: Bert for document classification. arXiv preprint arXiv:1904.08398.
(2020). Real or Not? NLP with Disaster Tweets. https://www.kaggle.com/c/nlp-getting-started/data.
İtfaiye Daire Başkanlığı, Earthquakes That Happen in the Last One Year Around Istanbul [İstanbul Çevresinde Son Bir Yılda Gerçekleşen Depremler], 2020. [Online]. Available:https://data.ibb.gov.tr/dataset/istanbul-da-son-bir-yilda-gerceklesen-depremler