Gangnam District in Seoul has launched a pilot program for an advanced flood monitoring and prediction system, integrating AI and IoT technologies. The “AIoT-based Flood Inundation Monitoring and Prediction System” uses compact, all-in-one devices that measure rainfall, river levels, and inundation depth, installed at four key locations: Gaepo 2-dong Community Center, Yeongdong Bridge 4, Daechi Station Intersection, and Seonjeongneung Park. The system collects data every minute and integrates it with public data from Yangjaecheon Stream, Tancheon Stream, and the Han River to forecast flooding up to three hours in advance.
The AI continuously relearns from real-time data to enhance its predictive capabilities, making the system more accurate over time. Designed for scalability, the system’s easy installation requires minimal power and communication infrastructure, reducing costs and facilitating broader deployment across the district. The investment details were not disclosed, but the project marks a significant move towards leveraging smart technologies to build a proactive disaster response system that prioritizes resident safety amid increasing climate change challenges.
