Innovating sustainable solutions through digitalization, automation, and AI-driven analytics for energy, water, and environmental sectors.
Early warning system for flood using AI water level prediction
- Hybrid forecasting that combines AI technology and physical models
Real-time inundation estimation
- Real-time inundation estimation system (Applying technology researched by Professor Sayama of the Disaster Prevention Research Institute, Kyoto University)
Landslide forecasting
- Real-time forecasting system that enables early warning of landslide risk
- Rain gauge digital signage for elementary schools (Joint development with Professor Miyata of Disaster Prevention Research Institute, Kyoto University)
AI forecasting
- One week wave forecasting system using AI【Hydro-WaveCatch】
- Demonstration project of “Inflow forecasting at water treatment center using AI”
Disaster prevention dashboard
- Management of observation data and sharing of disaster prevention information
- Damage forecasting/Supply and demand estimation
- Disaster prevention data interface