Presentation Information
[350202-02-01]Digital Twins for Smart Disaster Prevention and Automatically Executing Disaster Simulations
Prof. Satoru Oishi (Kobe University)
To address the increasing frequency and severity of earthquakes and weather-related disasters, it is essential to rapidly and comprehensively predict the damage and impact of natural disasters, utilizing these insights to enhance response efforts. A disaster prevention digital twin provides a powerful solution by integrating cyber and physical spaces, predicting potential damage, and optimizing response strategies based on these predictions. Our team is developing a disaster prevention digital twin that combines social infrastructure data, social dynamics, and real-time sensing data within cyberspace. This digital twin aims to mitigate damage by supporting appropriate evacuation guidance and accelerating early recovery by effectively assessing repair priorities for damaged infrastructure.