South Korea's Seondo Software and Spain's ODINS Jointly Develop AI Disaster Risk Prediction Platform

en.Wedoany.com Reported - Seondo Software announced on the 6th that it will collaborate with Spanish company ODINS to develop an artificial intelligence-based disaster risk prediction platform for national infrastructure through a three-year Korea-Spain bilateral cooperation (SKIT) international joint research project.

This research is part of the global technology cooperation expansion plan in the land and transportation sector and is one of the Korea-Spain joint research projects. The two sides will integrate South Korea's capabilities in spatial information and digital twin platform construction with Spain's IoT-based smart city and disaster monitoring technologies, aiming to create a platform that can predict and respond to disaster risks in urban infrastructure in advance.

As the lead Korean institution, Seondo Software will leverage its capabilities in Geographic Information Systems (GIS), digital twins, and data platform construction to integrate data from major infrastructure such as bridges and tunnels, developing risk analysis, visualization, and decision support functions. The Spanish lead institution, ODINS, will participate in optimizing joint prediction models, combining local infrastructure data analysis with AI technologies based on IoT and edge computing.

The project will use Busan, South Korea, and Murcia, Spain, as empirical test sites, applying the same disaster risk prediction model to the urban environments of both countries to verify its practical usability in on-site urban infrastructure management. The project plans to proactively identify various disaster risks such as collapses, flooding, and functional degradation, supporting the digital transformation of public infrastructure safety management systems.

Son Su-jin, Director of Seondo Software, stated that this SKIT project is a significant opportunity to connect domestic spatial information and AI technologies to the European cooperation network, and the company is committed to developing an empirical platform that contributes to the safety management of national infrastructure and the optimization of disaster response.