Method and system for diagnosing faults of core network based on Bayesian network

Abstract

The invention discloses a method and a system for diagnosing faults of a core network based on a Bayesian network. The method comprises the following steps of: collecting initial data including alarm information and fault types from a fault acceptance center of the core network and generating sample data, then storing in a back-up training dataset for accumulation, and then placing into a training dataset after reaching the set threshold value; calculating the sample data in the training dataset by adopting a Bayesian network algorithm, constructing a Bayesian network classifier; and collecting the initial data including the alarm information from a network management system of the core network, and then calculating by using the Bayesian network classifier to obtain a fault type corresponding to the alarm information. Because a fault diagnosing system is constructed by utilizing the Bayesian network classifier, the system realizes the function of intelligent system diagnosis for the complicated faults of the core network and improves diagnosing accuracy and flexibility; and because the system is constructed on the network management system, the system is easy to implement and has wide adaptability to the comprehensive information processing of the core network.

Description

technical field [0001] The present invention relates to communication network technology, in particular to a core network fault diagnosis method and system based on a Bayesian network. Background technique [0002] As the network scale continues to increase, correspondingly, the number of alarms in the network will also increase. Core network faults may occur at the terminal access device layer, network transmission layer, core control layer, and integrated service layer, etc. These faults will trigger a series of alarms. The fault is the cause of the alarm. For the specific type of notifications generated, not all alarms indicate the cause of the fault. Therefore, it is necessary to conduct correlation analysis on the alarm events that occur in the network to diagnose the cause of the fault. When the core network fails, the correlation between alarms and the relationship between alarms and faults are implicit and uncertain. Faced with a large number of alarm information g...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to solve the problem of rapid diagnosis and positioning of the core network alarm by the network fault diagnosis system

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