Intelligent alarm monitoring method of neural network

A kind of neural network and network technology, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problems of difficult identification of faults, lack of access to telecommunication operations, occupation of large operation and maintenance personnel, etc., to locate and eliminate network faults , Improve customer satisfaction and reduce operation and maintenance costs

CN102130783BActive Publication Date: 2014-07-02INSPUR TIANYUAN COMM INFORMATION SYST CO LTD
3 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2014-07-02

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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...

Examples

Embodiment

[0048] Establishment of knowledge base

[0049] ①Knowledge acquisition: The intelligence of an expert system largely depends on the amount of knowledge and its availability. The more knowledge available in the system, the higher its intelligence. The knowledge acquisition of this expert system comes from the following aspects: the on-site maintenance technicians, the manufacturer's maintenance manual and the combing table of the operator's association rules. According to the table, we express the alarm association rules into a standardized form, so as to facilitate knowledge updating and maintenance.

[0050] ②Knowledge representation: Knowledge representation is a description of knowledge, that is, how to express knowledge with an appropriate structure, and facilitate storage, retrieval and maintenance in the computer. It is a process of symbolizing and formalizing knowledge. The knowledge base of the neural network is to implicitly disperse and store knowledge in the form o...