The invention discloses an optical network fault detection
system based on
artificial intelligence, which belongs to the technical field of optical network intelligent operation and maintenance and comprises a
data acquisition module, an intelligent fault detection module, an influence range evaluation module and a detection
report generation module. According to the method, intelligent fault detection is carried out by adopting a multi-mode self-adaptive fault detection method, link operation data, equipment operation logs and
network structure information are integrated, potential abnormal nodes are dynamically identified, the
false alarm rate is reduced, faults possibly influencing network operation are found in advance, and quantifiable abnormal credibility scores are provided; the optical network fault multi-dimensional influence range evaluation method is adopted to perform influence range evaluation, on the basis of considering the
network structure, the node abnormal degree and the
service flow, nodes and links possibly affected by the fault are dynamically predicted, the fault influence range and the severity are quantified, a visual and operable decision basis is provided for operation and maintenance personnel, and the operation and maintenance efficiency is improved. Therefore, the fault
diffusion risk is effectively reduced, and the network
maintenance strategy is optimized.