Correlation analysis method and system for wireless network alarm management

Abstract

The invention discloses a correlation analysis method and system for wireless network alarm management, and the method comprises the steps: collecting X pieces of alarm information in a current network in real time in a mode of distributed alarm collection, wherein X is a natural number greater than one; carrying out the filtering of the X pieces of collected alarm information, so as to remove thealarm information which is not correlated with the fault alarm management and / or error alarm information, and obtain Y pieces of to-be-processed alarm information, wherein Y is not less than one andis less than X; carrying out the normalization processing of the Y pieces of to-be-processed alarm information, and obtaining Y pieces of alarm information with the consistent alarm information specification; carrying out the correlation analysis of the Y pieces of alarm information, recognizing the types of the Y pieces of alarm information and / or the correlation between the Y pieces of alarm information according to a correlation analysis result, determining fault equipment corresponding to the alarm information, and achieving the fault alarm management of the fault equipment.

Description

technical field [0001] The invention relates to wireless technology, in particular to a correlation analysis method and system for wireless network alarm management. Background technique [0002] In recent years, with the development of mobile communication technology and the further growth of mobile services, it has a greater and greater impact on human social activities, economy, especially daily life. Every day, tens of millions of users are using various services provided by the mobile network. In order to meet the needs of this business growth, new communication devices and new services are constantly added to the existing network, resulting in the increasingly heterogeneous nature of the network. It is becoming more and more obvious that the network environment is becoming more and more complex. [0003] In order to improve mobile competitiveness and user service satisfaction, it is necessary to ensure that each device in the network is working normally most of the ti...

AI Technical Summary

Problems solved by technology

Although this method can meet the requirements of finding and handling faults to a certain extent, the manual method is generally to deal with suspicious fault points, which not only consumes a lot of manpower and material resources, but also increases network operation and maintenance costs. The processing process is very time-consuming, and basically cannot meet the real-time requirements of alarm processing when a large number of alarms occur

Moreover, the manual method is likely to cause the entire fault to be handled and greatly delayed due to ignoring some key alarms.

[0006] In order to solve the above problems and meet the requirements of efficient monitoring, it is necessary to build an intelligent and automatic fault handling monitoring mechanism in the multi-architecture network. In the prior art, rule-based association methods, case-based association methods, model-based The correlation method based on the existing method and the correlation method based on data mining have their own defects, and these defects have a great impact on the alarm correlation analysis, and cannot realize effective intelligent and automatic fault handling monitoring

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