When Typhoon Meiji made landfall in Taiwan in 2010, sudden and heavy rainfall caused disasters in Yilan, Hualien, and other places quickly. The Suhua Highway on the 9th line of Taiwan was the most serious. It caused a large landslide of 50,000 cubic meters at 115K and lost 500 meters of subgrade and 30 meters of subgrade at 116K, causing severe disasters in the local area. Therefore, it was built on Suhua Highway 115.9K. There is an urgent need for monitoring instruments for the large-scale collapse of slopes.

To provide real-time automatic rainfall monitoring information and GPS satellite positioning monitoring displacement information, a real-time information system was established to receive the coordinates of points measured by GPS instruments and automatically calculate displacement and movement velocity. At the same time, the radar rainfall forecast data of the "Severe Weather Monitoring System (QPESUMS)" of the Central Meteorological Administration was introduced, and the ground rainfall was used to observe the rainfall correction influence factors to improve the estimation accuracy of the radar rainfall forecast. Through the local automatic rain gauge information, it displays information such as hourly rainfall and accumulated rainfall, develops warning reference values, integrates with the "Disaster Warning Data Exchange" for an automatic notification system, and builds functional modules in the "Highway Disaster Prevention and Relief Decision Support System". (TRENDS)". Integrate the front-end and back-end software and hardware interfaces to establish a complete information system to provide real-time slope information for road management units in the face of disasters as an auxiliary tool for decision-making.