The invention discloses an IPv4 / IPv6 dual-stack network intelligent operation and
maintenance management method and
system based on AI, and relates to the field of AI. The method comprises the steps that through full-link multi-
source data collection and feature
processing of network equipment, terminals, protocols and services, a structured
data set is constructed; real-time evaluation and
visual monitoring of the network state are realized by using a multi-task AI model; once an
abnormality is found, a fault node and a propagation path are accurately positioned through a fault diagnosis model; integrating various model outputs to automatically generate and execute a targeted operation and
maintenance strategy; and on-line iterative optimization of the AI model and the
knowledge base is driven through continuous effect evaluation and data feedback, so that the dual-stack network intelligent operation and maintenance capability of autonomous circulation is formed. The method has the advantages that AI enabling and dual-stack
adaptation are focused, full-link multi-
source data acquisition is taken as support, accurate evaluation, rapid diagnosis and
intelligent decision making are realized through a multi-task fusion AI model, the operation and maintenance efficiency and the network stability are improved, and the labor cost is reduced.