This application relates to a method, apparatus, device, medium, and product for
processing unmanned vehicle
condition monitoring data. The method includes: acquiring isovariant
feature data and an updated
condition monitoring cycle based on environmental
feature data and
raw data from onboard sensors; obtaining the
execution cycle of each unmanned vehicle
condition monitoring task using the updated condition monitoring cycle; obtaining health status indices of each key component based on the isovariant
feature data; adjusting the
execution cycle of each condition monitoring task based on the health status indices to obtain the adjusted
execution cycle of each condition monitoring task; optimizing the unmanned vehicle
decision model based on the isovariant feature data, the updated condition monitoring cycle, and the adjusted execution cycle of each condition monitoring task; and obtaining the unmanned vehicle's driving strategy through the optimized unmanned vehicle
decision model, thereby improving the environmental adaptability of unmanned vehicle condition monitoring, reducing operation and maintenance costs, and improving the
driving safety and reliability of the unmanned vehicle.