Research on the Intelligent Management System for Existing Building Safety Based on Large-Scale Screening and Targeted Monitoring

In response to the extensive scale of existing buildings in China， increasing safety hazards， and the high costs and inefficiencies of traditional building inspection and monitoring methods， this study proposes a comprehensive building safety management model. This model leverages satellite remote sensing， the BeiDou Navigation Satellite System （BDS）， intelligent robots， unmanned aerial vehicles （UAVs）， and artificial intelligence （AI） to enable large-scale screening and targeted monitoring of building safety. Key components include： high-resolution optical satellite remote sensing for identifying building modifications and extensions； radar satellite InSAR technology for detecting structural deformation and potential safety risks； high-precision BDS for dynamic monitoring of high-risk buildings； robots and UAVs equipped with multi-functional sensors for automated inspection of high-rise， super-tall， and large-scale public buildings； and AI-enhanced analytics to improve anomaly detection in monitoring data. By establishing a national building safety management platform， this approach enables large-scale screening， targeted monitoring， and digital management of building safety. It supports a multi-tiered risk control mechanism， shifting risk management from post-incident response to preventive measures， thereby advancing the intelligence and efficiency of building safety management.