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Methods, devices, equipment, media, and products for processing data related to unmanned vehicle condition monitoring.

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.
Owner:SHUOHUANG RAILWAY DEV