Network fault diagnosis method

Abstract

The invention discloses a network fault diagnosis method and a medium, and the method comprises the steps: obtaining a real-time sequence flow of a KPI index, and carrying out the windowing of the real-time sequence flow of the KPI index, so as to obtain a real-time sequence vector of the KPI index; performing K-S distribution inspection on the real-time sequence vector of the KPI and a pre-trained normal attribute vector of the KPI to judge whether the real-time sequence vector of the KPI is normally distributed or not; when the real-time sequence vector distribution of any one of all the KPIindexes is abnormal, arranging the deviation values of all the KPI indexes during K-S distribution inspection in sequence to form a deviation value vector; adopting a novel gravitation clustering model, obtaining a network fault category with the highest similarity with the deviation value vector according to the deviation value vector, and taking the network fault category as a network fault diagnosis result. The diagnosis process of the network fault can be realized without manual intervention, and the high efficiency and convenience of intelligent operation and maintenance of the network are greatly improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a network fault diagnosis method. Background technique [0002] With the rapid development of information technology, the scale of the network system continues to expand, and the complexity is getting higher and higher. Although the existing diagnosis of network faults can use machines to monitor dynamic indicators, once a network fault is found, manual analysis is still required. Processing to confirm the network fault type is not only time-consuming and laborious, but also greatly reduces the efficiency of network fault diagnosis. Contents of the invention [0003] The present invention aims to solve one of the technical problems in the above-mentioned technologies at least to a certain extent. For this reason, an object of the present invention is to propose a network fault diagnosis method. By monitoring the KPI indicators in the communication network in real time, when ...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of information technology, the scale of the network system continues to expand, and the complexity is getting higher and higher. Although the existing diagnosis of network faults can use machines to monitor dynamic indicators, once a network fault is found, manual analysis is still required. Processing to confirm the type of network fault is not only time-consuming and laborious, but also greatly reduces the efficiency of network fault diagnosis

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