Abstract
The rapid advancements in digital technologies have paved the way for the development and utilization of digital twins that allow bridging the gap between physical systems and their virtual representations. This digital twin concept is gaining importance especially in the design of complex IoT and Cyber-Physical systems. At design time a digital twin can in fact be used to represent the to-be system reflecting its characteristics in the digital world and especially to conduct simulations before the system is actually implemented.
This paper reports about an approach for the design and implementation of a Digital Twin Prototype for a project involving an IoT life-saving system designed to support the rescue operation of people during a seismic event. The approach as well as the software tool can be adopted to other IoT or Cyber-Physical systems.
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Notes
- 1.
SAFE project: http://projects.cs.unicam.it/safeproject/index.html.
- 2.
VITALITY project: https://vitality-spoke6.unicam.it/en/.
- 3.
ThingsBoard IoT platform: https://thingsboard.io/.
- 4.
The SAFE gateway implements an Earthquake Early-Warning detection system through a specific accelerometer. In case of an earthquake, the gateway sends a command to the SAFE devices requesting them to switch to War Mode.
- 5.
Blender https://www.blender.org/.
- 6.
Three.js: https://threejs.org/.
- 7.
Cannon-es: https://pmndrs.github.io/cannon-es/.
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Acknowledgements
This work has been partially supported by the European Union - NextGenerationEU - National Recovery and Resilience Plan, Mission 4 Education and Research - Component 2 From research to business - Investment 1.5, ECS_00000041-VITALITY - Innovation, digitalisation and sustainability for the diffused economy in Central Italy.
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Callisto De Donato, M., Corradini, F., Fornari, F., Re, B., Romagnoli, M. (2024). Design and Development of a Digital Twin Prototype for the SAFE Project. In: Sales, T.P., de Kinderen, S., Proper, H.A., Pufahl, L., Karastoyanova, D., van Sinderen, M. (eds) Enterprise Design, Operations, and Computing. EDOC 2023 Workshops . EDOC 2023. Lecture Notes in Business Information Processing, vol 498. Springer, Cham. https://doi.org/10.1007/978-3-031-54712-6_7
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