The invention belongs to the technical field of
wireless communication, and discloses an intention-driven 6
G network intelligent operation and maintenance method,
system and application, and the method comprises the steps: translating an original operator intention represented by a
natural language into an intention standard expression which can be recognized by a network through an intention translation module; realizing intelligent recombination of a fine-grained strategy through an intention intelligent strategy generation module, and generating an intelligent new strategy meeting the intention; and introducing a deep neural evolutionary network, performing
feature extraction on a collected fault information set to obtain the type, position, number, fault source information and
fault occurrence time of the fault, constructing a network fault
topological graph, and performing fault positioning and repairing. Through introduction of the AI, network operation and maintenance are transformed from manual operation to intelligent operation. Through application of intelligent technologies such as
machine learning and the like, the network can discover and repair network faults in time, self-driving, self-optimization and robustness of the network are guaranteed, and the
network management efficiency is improved.