UPV Presents PGTEC: A Digital Twin with AI that Anticipates Floods like Poyo and Simulates Their Impact in 48 Hours

The digital twin uses AI to predict and simulate the impact of floods in 48 hours, helping to mitigate their effects.

The Polytechnic University of Valencia (UPV) has developed a digital twin called PGTEC, which uses artificial intelligence to predict and simulate the impact of floods. The digital twin is designed to anticipate and mitigate the effects of floods like the one that occurred in the barranco de Poyo. The system can simulate the impact of floods in 48 hours, providing valuable insights for emergency responders and urban planners.

PGTEC uses a combination of sensors and AI algorithms to analyze data from various sources and predict the likelihood of floods. The system can also simulate the impact of floods on buildings, infrastructure, and the environment, helping to identify areas of high risk. The UPV hopes that PGTEC will be used to improve flood management and mitigation strategies in urban areas.

The development of PGTEC is part of the UPV's efforts to address the challenges of urbanization and climate change. The digital twin is expected to be used in various urban areas, helping to reduce the risk of flooding and protect communities from its effects.