The invention relates to the technical field of network operation and maintenance and communication monitoring, and discloses a
machine room fault node identification method and
system based on
network topology, and the method comprises the steps: obtaining real-time
network topology data and link transmission indexes, and constructing a weighted
directed graph and an evolution sequence; performing
time sequence projection on the historical data according to the sequence to obtain a node
state vector; calculating a deviation value, and if the deviation value exceeds the limit, extracting deviation characteristics and searching to obtain a potential abnormal region; dominant indexes are obtained through clustering and grouping, propagation influences are evaluated, and a priority sequence is determined; an initial fault source is positioned, a congestion link is tracked, and a service influence range is mapped through a logic address; extracting link
safety risk characteristics, calculating a correction coefficient, adjusting an abnormal threshold value, and evaluating a positioning difficulty level; and finally, similar cases are retrieved to generate a repair instruction,
model parameters are fed back and adjusted, and optimized stable configuration is obtained. According to the method, accurate recognition and closed-
loop optimization of
machine room faults can be realized.