1.Before the disaster: Through AI algorithms and big data analysis, torrential rains, floods, blackouts caused by typhoons, and landslides can be predicted. This enables authorities to prepare and respond in advance and make more precise decisions.
2.During the disaster: Real-time IoT monitoring data for disaster management eliminates the need for human reporting procedures in on-site inspections and fax communications, significantly enhancing the efficiency of disaster rescue operations.
3.After the disaster: The area of interest can be selected and viewed on the GIS platform. Through time-series-based analysis and disaster statistics, disasters can be managed at different levels, allowing authorities to grasp the temporal and geospatial information of the entire hazard in 3 Dimensions.