The application belongs to the technical field of communication network operation and management, and discloses an AI-based communication network intelligent inspection and
maintenance system, which interacts with the Web interface of a multi-manufacturer
network management, carries out
document object model analysis on a page, establishes an interface
operation model irrelevant to manufacturer protocols, configures inspection items according to
network element types and service scenarios, and controls a browser to complete cross-page operation to collect running data. The
system fuses inspection data with historical data, work orders and equipment history, constructs a running state view organized according to network elements and time, and identifies abnormal types and levels by
combining rules and classification models. Furthermore, the
system generates a
maintenance strategy containing inspection and change steps by relying on a maintenance operation
template library, executes a maintenance task by combining test session
simulation and
rollback control, and improves
automation and running reliability.