This invention provides a
safety assurance method and
system for unmanned aerial vehicles (UAVs) used for medical examinations of high-rise buildings in cities. The method includes: continuously monitoring the flight parameters of the UAV, sampling the flight parameter data at a frequency of ≥100Hz, and performing fusion
processing using a
Kalman filter algorithm; employing a fault diagnosis
algorithm, based on a dual judgment mechanism of threshold and
trend analysis, to analyze the collected flight parameter data in real time; comparing power redundancy and
attitude stability indicators with preset thresholds to determine the fault level, and performing graded emergency handling according to the fault level, triggering corresponding handling and response strategies for non-catastrophic or catastrophic faults; after the UAV lands, confirming the safety of the
landing point through visual SLAM or
GPS positioning, and initiating onboard communication to report the status. This invention provides a complete solution from
fault prevention to collision buffering through redundant design, graded
emergency response, and dual-level protection, maximizing the protection effect and facilitating industrial implementation and
verification.