Tackling Heavy Rainstorms with AI
RISE is developing AI-driven tools for predictive maintenance of infrastructure, combining sensor data, weather forecasts, geodata, and historical records to identify risks before severe weather strikes.
Extreme rainstorms can damage roads, disrupt infrastructure, and threaten essential services. With AI and smart data, we can shift from repairing failures afterward to predicting risks and acting before damage occurs, a critical step as climate change increases the frequency of severe weather.
The Challenge
Sweden faces two connected challenges: climate adaptation and an extensive maintenance backlog. Infrastructure weakened by years of underinvestment becomes far more vulnerable when heavy rain hits. One of the most effective climate measures is therefore simple: maintain systems so they function as intended.
AI-Driven Tools for Predictive Maintenance
RISE, through programs such as Mistra InfraMaint, is developing AI-driven tools for predictive maintenance. By combining sensor data, weather forecasts, geodata, and historical records, machine learning models can identify risks early and support better decisions for municipalities and road authorities.
Impact
With proactive maintenance and AI-based forecasting, communities can reduce vulnerability, use resources more efficiently, and build infrastructure ready for future extreme weather.
