Intelligent alarm monitoring method of neural network

Abstract

The invention provides an intelligent alarm monitoring method of a neural network. A brand-new intelligent communication network comprehensive monitoring analysis and fault locating system is built by adopting an alarm correlation analysis and locating technology based on an expert system of the neural network. The system guarantees effective monitoring of repeated alarming, alarm oscillation, alarm flash and alarm storm by collecting the alarm data of each piece of equipment of each network element system of each major, and filters out a storm alarm, a flash alarm, an invalid alarm and a secondary alarm correctly; and the system can pick out an important alarm event which is really required to be processed from the collected mass alarms based on a deep correlation rule analysis and neural network technology, and can locate and remove a network fault quickly and correctly. The correction rate of network alarm analysis and fault diagnosis can be improved obviously, customer satisfaction is improved, and operating cost and maintenance cost are reduced greatly, so that the aims of reducing the work load of an operator and a maintainer and improving the efficiency of fault management are fulfilled.

Description

technical field [0001] The invention relates to the technical field of communication network monitoring, in particular to an intelligent alarm monitoring method based on a neural network. Background technique [0002] At present, various types of telecommunication networks are large in scale, complex in structure, and diverse in equipment. Various hardware devices and software generate massive amounts of alarm information every day. These alarm information cover traffic network, data network, transmission network, signaling network, intelligent network, service network and so on. When a fault alarm occurs on the telecommunication network, the operation and maintenance personnel are required to correctly determine the location, type and cause of the network fault in the shortest possible time in real time, and then take corresponding solutions in a timely manner. However, in actual network operation, the occurrence of a fault often triggers multiple alarm events. The equipme...

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Problems solved by technology

However, in actual network operation, the occurrence of a fault often triggers multiple alarm events. The equipment and business processes related to the fault point will issue related alarm sequences, and at the same time, many alarm sequences caused by multiple faults will be intricately superimposed. , so that the real alarms are submerged inside, making it extremely difficult to identify faults

And with the continuous improvement of the scale and complexity of the network, as well as the continuous changes of network equipment, network services, and network structure, there are more and more types and quantities of alarms, including minor alarms, general alarms, serious alarms, major alarms, emergency alarms, etc. Alarms, missed alarms, false alarms, repeated alarms, same-cause and different-phenomenon alarms, same-symbol multi-cause alarms, etc., resulting in a large number of noise alarms or incomplete information in the massive alarm information, these factors further increase the alarm correlation analysis and The difficulty of fault location

[0003] At present, communication network alarm correlation analysis and fault diagnosis are mainly handled by operation and maintenance personnel. Manual processing of massive alarm information will occupy a large number of operation and maintenance personnel, which is inefficient and prone to data consistency and other problems. There is a lack of effective means for filtering, analysis, positioning, etc.

In terms of automatic intelligent analysis and diagnosis, although various network alarm monitoring systems developed by many manufacturers and institutions can only analyze and identify simple, equipment-level alarm information correlations, the actual automatic fault location accuracy of alarms is less than 50%. Far from meeting the actual requirements of telecom operations

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