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Equipment fault alarm, prediction and processing mechanism based on data mining

A fault alarm, predictive processing technology, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve the problems of system management personnel inundation, equipment performance differences, etc., to reduce cost overhead, troubleshoot, quickly predict and The effect of locating faults

Inactive Publication Date: 2013-11-27
PCI TECH GRP CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in a real network, because of the complex and heterogeneous network structure, and the interconnection and mutual influence between various network element devices, if a device in the network system fails, its associated devices will also display faults. State failure alarm information
Now network devices are becoming more and more complex, and the performance of various devices varies greatly. When a fault occurs, system administrators are easily overwhelmed by a series of sudden fault alarm information that is meaningless to the cause of the fault.

Method used

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  • Equipment fault alarm, prediction and processing mechanism based on data mining
  • Equipment fault alarm, prediction and processing mechanism based on data mining
  • Equipment fault alarm, prediction and processing mechanism based on data mining

Examples

Experimental program
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Embodiment 1

[0021] Embodiment one, see figure 1 .

[0022] The invention provides a data mining-based device fault prediction and processing mechanism, which includes mining association rules from a massive fault alarm information database by using a cluster distributed parallel algorithm and predicting and processing alarm information by using a knowledge base.

[0023] The distributed parallel algorithm mines the association rules of massive data, and is used for: placing fault alarm information in clusters for processing, reducing the cost brought about by mining massive data information, and reducing server performance requirements by clustering.

[0024] The fault prediction and alarm processing mechanism using the knowledge base is used to: predict the probability of fault occurrence according to the support and confidence of the associated faults in the knowledge base, so as to guide the processing of the fault.

[0025] The working process of the above system can be found in fig...

Embodiment 2

[0032] Embodiment two, see figure 2 .

[0033] The equipment fault prediction and alarm processing mechanism based on data mining also includes: dividing the fault alarm information database to N nodes, calculating the association rules of the fault alarm information of each node in parallel, and then merging and distributing the data of each node to N nodes are operated until the final frequent item set is mined to form a knowledge base.

Embodiment 3

[0034] Embodiment three, see image 3 .

[0035] The equipment fault prediction and alarm processing mechanism based on data mining also includes: forming a knowledge base with the mining association rules between faults and their support, confidence and other data. When a fault alarm information occurs, the fault prediction and alarm mechanism judges its Whether it is in the knowledge base, if so, quickly predict the probability of the occurrence of the fault according to its related faults, if not, mine new associated frequent itemsets according to the frequent algorithm of association rules, and then add them to the knowledge base.

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Abstract

The invention discloses an equipment fault, alarm, prediction and processing mechanism based on data mining. The equipment fault, alarm, prediction and processing mechanism based on data mining comprises a fault relevance description and fault prediction and processing mechanism obtained based on data mining. Because the amount of fault alarm information is huge nowadays and is continuously updated every day, time cost will be increased in a geometric mode through an ordinary traversal algorithm, data relevance mining efficiency is greatly reduced, real-time requirements can not be met in reality, and accordingly fault information association rules are mined from a fault alarm information database according to a clustering distribution type parallel algorithm to form a knowledge base. When a kind of fault alarm information is generated, the probability of happening of relevant faults is quickly predicted in real time by the fault predicting and processing mechanism according to the association rules in the knowledge rules to guide fault processing.

Description

technical field [0001] The invention relates to the field of data mining and communication, in particular to a data mining-based device failure alarm prediction processing mechanism. Background technique [0002] Fault alarm information management is an important part of the fault management system, mainly used for alarm analysis and fault prediction. When a device in the network fails, it is the key to ensure the safe and reliable operation of the entire network system by quickly identifying and predicting the probability of related failures so as to eliminate them. But in a real network, because of the complex and heterogeneous network structure, and the interconnection and mutual influence between various network element devices, if a device in the network system fails, then its associated devices will also display faults A fault alarm message appears in the status. Nowadays, network equipment is becoming more and more complex, and the performance of various equipment v...

Claims

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Application Information

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IPC IPC(8): H04L12/24
Inventor 曲家朋梁海涛赵刚
Owner PCI TECH GRP CO LTD
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