Utilizes various sensors (such as slope radar, GNSS displacement monitoring devices, etc.) to conduct real-time monitoring of mountains and slopes, collecting data on displacement, cracks, tilt, and more. Through data analysis, it assesses slope stability and provides early warning information.

Based on digital twin systems, weather forecasts, and drainage facility data, an urban waterlogging model is constructed to assess waterlogging risks in cities, providing real-time warnings and decision support.

The tropical cyclone (typhoon) monitoring and early warning system integrates multi-source data such as meteorological satellites, radar, and ground observation stations to monitor the typhoon’s location, intensity, and movement path in real time. It uses artificial intelligence and big data technologies for high-precision forecasting, providing typhoon warning signals and defence guidance.