Wireless communication network anomaly identification system and method based on big data

The invention relates to the technical field of wireless communication network anomaly recognition, in particular to a wireless communication network anomaly recognition system and method based on big data, and the system comprises an intelligent monitoring data acquisition module, a target event determination module, a condition feature set construction module, a real-time state matching module and an intelligent recognition conversion module. The intelligent monitoring data acquisition module acquires transmission data correspondingly stored in an interaction database of the intelligent monitoring system according to the effective monitoring address; a target event determination module analyzes a target event which causes abnormal transmission data due to abnormal wireless communication network in the interaction database; the conditional feature set construction module is used for analyzing and processing conditional feature indexes before decision generation to construct a conditional feature set; the rea