Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Network fault discovery method, electronic device and computer-readable storage medium

A network fault and discovery method technology, applied in the electronic field, can solve the problems of large volume of failure signaling data, non-fixed, difficult to monitor, etc., to shorten the time of fault discovery and location, low resolution efficiency, and reduce logs classification effect

Inactive Publication Date: 2018-12-11
中国移动通信集团海南有限公司
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the failure signaling data has the characteristics of large volume, instability and obvious volatility, and it is not easy to monitor

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
  • Network fault discovery method, electronic device and computer-readable storage medium
  • Network fault discovery method, electronic device and computer-readable storage medium
  • Network fault discovery method, electronic device and computer-readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] The embodiment of the present application provides a method for discovering network faults, which is used to generate early warning thresholds based on signaling big data, and monitor network faults based on the early warning thresholds. Please refer to Figure 1-a, the network fault discovery method mainly includes the following steps:

[0060] 101. Generate a failure data table according to the XDR signaling;

[0061] In practical applications, XDR signaling is generated based on the processing of full signaling data, and is used by the signaling monitoring platform and signaling applications to record the basic process records of the control plane and user plane. Taking user sessions as units, one session forms an XDR Record. If the session is not completed normally, in the original XDR signaling, there are signaling fields that identify the abnormality of the service, such as the disconnection code of the 2G voice network, the cause value of the LTE (Long Term Evolu...

Embodiment 2

[0085] In order to understand the network fault discovery method in the embodiment of this application more intuitively, this application provides a practical application example for illustration, please refer to Figure 1-c , including:

[0086] 1. Failure detailed list & aggregation table

[0087] In order to accurately monitor the phenomenon and scope of service impact, the original XDR signaling needs to generate a detailed list of failed signaling according to different network types, business processes, and interfaces, and then calculate the service failure identifier through the detailed list of failed signaling. It is a failed business aggregation table aggregated by dimension and time granularity. The "time granularity" in the failure service aggregation table can be set according to different network types and maintenance requirements. In order to ensure the timeliness of the alarm, 5 minutes or 15 minutes are usually used, and the "failure amount" is the time granu...

Embodiment 3

[0145] see figure 2 , an electronic device is provided for the embodiment of the present application. The electronic device can be used to achieve the above Figure 1-a The network fault discovery method provided by the illustrated embodiment. Such as figure 2 As shown, the electronic device mainly includes:

[0146] A data table generating unit 201, configured to generate a failure data table according to the data recording XDR signaling;

[0147] The data extraction unit 202 is used to extract periodic fluctuation data according to the failure data table, and the periodic fluctuation data is used as a failure signaling data source of the time series decomposition model;

[0148] A data regularization unit 203, configured to perform data regularization on the periodic fluctuation data according to the data requirements of the time series decomposition model;

[0149] The threshold generation unit 204 is configured to perform time series decomposition on the periodic flu...

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

A method for discover network failure, an electronic device and a computer-readable storage medium, wherein, that method for discovering network failure comprise the following steps: generating a failure data table according to data recording XDR signaling; extracting periodic fluctuation data according to the failure data table, wherein the periodic fluctuation data is used as a failure signalingdata source of a time series decomposition model; regularizing the periodic fluctuation data according to the data requirements of the time series decomposition model; performing time series decomposition on the regularized periodic fluctuation data based on the time series decomposition model to obtain an early warning threshold for prompting a network fault, the early warning threshold being used for network fault monitoring.

Description

technical field [0001] The present application relates to the field of electronic technology, and in particular to a network fault discovery method, an electronic device, and a computer-readable storage medium. Background technique [0002] At present, the communication network mainly detects network faults through means and tools such as alarm monitoring, key indicator monitoring, and collection of user complaints. With the complexity of the network, the diversification of services, the scale of customers and the differentiation of terminals, to provide users with high-quality network services, traditional methods can no longer meet the maintenance requirements of quickly discovering network problems and quickly locating network faults. [0003] (1) Alarm monitoring [0004] Although the timeliness of alarm monitoring is strong, the accuracy is not high. Once a certain device fails, it takes a long time for network maintenance personnel to receive the alarm, view the alar...

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
IPC IPC(8): H04L12/24G06F17/30
CPCH04L41/06H04L41/0631H04L41/145
Inventor 任璐圆卓雪虹何彬许燕张妍妍李丹宁葛伟东
Owner 中国移动通信集团海南有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com