Alarm correlation analysis method based on a graph data model

A technology of correlation analysis and graph data, applied in data exchange network, digital transmission system, electrical components, etc., can solve the problems that dumb equipment cannot handle, affect the accuracy rate, and the difference in alarm arrival time is very large, so as to achieve rapid response to analysis requests , Realize the effect of direct call and high execution efficiency

Pending Publication Date: 2019-05-14
中电福富信息科技有限公司
View PDF7 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method can solve some alarm events that cannot be associated due to the lack of association relationship, but the alarm arrival time of different devices may vary greatly, and the setting of the alarm time segment affects the accuracy of the association, and it cannot be processed for dumb devices.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Alarm correlation analysis method based on a graph data model
  • Alarm correlation analysis method based on a graph data model
  • Alarm correlation analysis method based on a graph data model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] Such as Figure 1-3 As shown in one of them, the present invention discloses an alarm correlation analysis method based on a graph data model. Specifically, the graph data model originates from Euler and graph theory, and can also be called a graph-oriented / graph-based data model. The basic meaning is to store and query data in the data structure of "graph". The data model of the graph is mainly embodied by nodes and relationships (edges), and can also handle key-value pairs. It has the advantage of quickly solving complex relational problems.

[0025] Graphs have the following characteristics: contain nodes and edges; nodes have attributes (key-value pairs); edges have names and directions, and always have a start node and an end node; edges can also have attributes.

[0026] A graph can be said to be a collection of vertices and edges, or more simply, a graph is a collection of nodes and relationships that connect these nodes. A graph represents entities as nodes ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an alarm correlation analysis method based on a graph data model. The alarm correlation analysis method comprises the following steps: step 1, constructing the graph data model: converting a relational database model into the graph data model; Step 2,performing fault marking: when a network fault event or a user complaint event is received, marking a corresponding node inthe graph data model as a fault; Step 3, performing alarm pre-association: taking out the node with the lowest hierarchy from the graph data according to a fault time window, and storing the node in apre-association result set; Step 4, carrying out root alarm association judgment to determine a fault root source: in a pre-association result, when a further association relationship does not exist,determining the corresponding node as the fault root source; And when the further association relationship exists, the node involved in the association relationship is the fault source. According tothe method, the relation model is converted into the graph model, the processing efficiency is improved, the service request can be quickly responded, and the scene of real-time processing and analysis of the network data is effectively supported.

Description

technical field [0001] The invention relates to the technical field of telecommunication data processing, in particular to an alarm association analysis method based on a graph data model. Background technique [0002] The existing network alarm correlation analysis is based on a relational database. When the network has many bearer layers and a large number of devices, the correlation relationship is incomplete, and there are problems of low correlation efficiency and inaccurate correlation. Real-time correlation processing of network alarms In the scene, the problem of low correlation efficiency is particularly prominent. [0003] The current prior art CN201711482171.2 (alarm correlation analysis method, device, equipment and medium) adopts a method based on alarm time distribution. This method can solve some alarm events that cannot be associated due to the lack of association relationship, but the alarm arrival time of different devices may vary greatly, and the setting...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24
Inventor 张存国
Owner 中电福富信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap