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Aiming at the problems of low data processing efficiency and large error of traditional intelligent network security monitoring platform, this paper proposes a new solution. The scheme builds a new intelligent network security monitoring platform based on the big data fusion model. It uses Kalman filter algorithm, data fusion classification algorithm and fuzzy reasoning algorithm to construct a data fusion model to calculate and process the network security monitoring data. Among them, Kalman filter algorithm is used to improve the original network security monitoring data to reduce noise interference and improve the accuracy of data; the feature information of