This technology integrates Artificial Intelligence (AI), big data analytics, and earthquake scenario simulation to rapidly estimate post-earthquake building damage and identify high-risk hotspots. By automating damage assessment and spatial analysis, it provides timely decision-support information, enabling emergency agencies to prioritize resource allocation, improve response efficiency, and
  enhance post-disaster resilience.

The technology employs AI-based models to evaluate seismic performance by integrating building characteristics, earthquake parameters, and historical damage records. Combined with 3D geospatial visualization, it delivers intuitive, accurate, and real-time damage assessments, supporting rapid situational awareness and evidence-based emergency decision-making.

The technology has been implemented in the earthquake emergency decision-support system of the National Science and Technology Center for Disaster Reduction (NCDR). It enables rapid post-earthquake damage assessment and can be extended to government agencies, engineering consulting, insurance, construction, and smart city applications to support disaster management, risk assessment, and resilient governance.