This invention discloses a real-time
risk control assessment method and
system for unmanned aerial vehicles (UAVs) based on efficient data caching and parameter
parsing. The method includes: analyzing
risk control scenarios such as pre-flight, in-flight, and airspace
route conflicts; determining assessment items and configuring trigger conditions, dependent parameters, and data reading path expressions; and completing pre-compilation of the
parsing engine. It also involves receiving raw UAV data, determining
risk control scenarios, acquiring external risk data, and calculating flight-related data in real time; aggregating the two types of data to generate standardized objects and composite cache keys, and writing them to the cache; triggering assessment items through semantic analysis; and batch loading standardized objects from the cache based on the composite cache keys; extracting parameter values through the expression
parsing engine and sending them to the
rule engine to complete real-time risk control assessment, efficiently adapting to UAV risk control requirements. This invention achieves
millisecond-level real-time risk control response capabilities while ensuring the
system possesses high flexibility, high configurability, and high
operational reliability to adapt to low-altitude operation characteristics.