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Electric power communication network alarm association mining method based on improved GSP

A power communication and network technology, applied in the field of alarm correlation mining of power communication network based on improved GSP

Active Publication Date: 2019-11-12
INFORMATION & COMM BRANCH OF STATE GRID JIANGSU ELECTRIC POWER +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, as the network structure becomes more and more complex, the mechanism of alarm generation and the relationship between alarms are constantly changing, it is difficult to truly build a cross-system and cross-manufacturer dynamic correlation analysis model purely relying on expert experience

Method used

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  • Electric power communication network alarm association mining method based on improved GSP
  • Electric power communication network alarm association mining method based on improved GSP
  • Electric power communication network alarm association mining method based on improved GSP

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Embodiment Construction

[0034] Such as figure 2 As shown, the improved GSP-based power communication network alarm association mining method specifically includes the following steps:

[0035] (1) collecting historical alarm data, establishing a historical alarm database, and preprocessing the historical alarm data;

[0036] In the step (1), the electric power communication network is used to collect historical alarm data, and the historical alarm data is preprocessed through compression, Booleanization and normalization. Use the massive original historical alarm data collected by the power communication network to eliminate data redundancy and inconsistency through preprocessing such as alarm compression, Booleanization, and normalization;

[0037] (2) analyze the topological relationship between the network element equipment in the synchronous network topology database with the step (1), generate a network topology model;

[0038] (3) The historical alarm data after the preprocessing of step (1)...

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Abstract

The invention discloses a power communication network alarm association mining method based on an improved GSP, and the method comprises the following steps: (1) collecting historical alarm data, building a historical alarm database, and carrying out the preprocessing of the historical alarm data; (2) generating a network topology model by analyzing the topological relation between the network element devices in the synchronous network topology database in the step (1); (3) performing data mining on the preprocessed historical alarm data in the step (1) by accessing the network topology modelassociation frequent sequence in the step (2) to form an alarm association rule and a sequence experience library; (4) collecting real-time alarm data, establishing a real-time alarm database, and preprocessing the real-time alarm data; and (5) performing data analysis on the preprocessed real-time alarm data in combination with an alarm association rule and a sequence experience library, and constructing an alarm real-time dependence model in combination with the network topology model in the step (2), thereby realizing positioning analysis of the root alarm.

Description

technical field [0001] The invention relates to the field of data management of electric power systems, in particular to an improved GSP-based alarm association mining method for electric power communication networks. Background technique [0002] In recent years, the level of informatization and intelligence in the power industry has continued to improve. As a power communication system that carries many power grid services, it has achieved considerable development in terms of overall scale, network capacity, grid structure, coverage and carrying capacity. . The basic technical support role of power communication in the smart grid system is becoming more and more prominent, which puts forward higher operation and maintenance management requirements for the overall control and risk prevention of large-scale communication networks. The current power communication network environment is characterized by heterogeneity, large network scale, distributed deployment, and frequent ...

Claims

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Application Information

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IPC IPC(8): H04L12/24G06F16/2458H02J13/00
CPCH04L41/06H04L41/12H04L41/145G06F16/2465G06F2216/03
Inventor 吴海洋缪巍巍汤震李世豪江凇郭波李伟丁士长戴勇贾平蒋春霞陈鹏陈兵张懿李菁
Owner INFORMATION & COMM BRANCH OF STATE GRID JIANGSU ELECTRIC POWER
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