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Network alarm prediction model establishing method and device based on deep learning

A prediction model and deep learning technology, applied in the field of communication, can solve the problems of inaccuracy and low prediction efficiency, and achieve the effect of reducing the amount of data, improving the accuracy and improving the efficiency.

Active Publication Date: 2021-02-26
南京群顶科技股份有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method and device for establishing a network alarm prediction model based on deep learning to improve the problem of low and inaccurate prediction in the prior art

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  • Network alarm prediction model establishing method and device based on deep learning
  • Network alarm prediction model establishing method and device based on deep learning
  • Network alarm prediction model establishing method and device based on deep learning

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[0066] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0067] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art w...

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Abstract

The invention provides a network alarm prediction model establishing method and device based on deep learning, and relates to the technical field of communication. The method comprises the steps of firstly obtaining sample alarm data sets on different communication network devices and a topological relation between the communication network devices; then analyzing the sample alarm data sets to obtain a plurality of alarm sequences; then segmenting the alarm sequences into a plurality of sub-alarm sequences according to alarm time intervals to ensure time difference between the alarm sequences,reduce the data volume for training the network alarm prediction model, and improve the training efficiency of the early warning model; training an initial network alarm prediction model according tothe plurality of sub-alarm sequences and the topological relation; and obtaining the trained network alarm prediction model, so as to ensure that the obtained network alarm prediction model can perform prediction by considering the relationship between the communication network devices, and improve the accuracy of the prediction result.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular, to a method and device for establishing a network alarm prediction model based on deep learning. Background technique [0002] With the continuous development of communication network technology and the increasing network scale, the types and quantities of equipment included in the communication network increase accordingly. For various networks, if a network equipment fails during operation, a large number of alarms and work orders will be generated. , network maintenance personnel are often overwhelmed, resulting in low efficiency and wasting a lot of manpower. In this context, how to improve the ability to detect faults in advance based on alarm prediction, realize early stop loss of faults, reduce labor costs, and improve operation and maintenance efficiency has become a common problem faced by various network fields. [0003] The traditional alarm prediction te...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24G06N20/00
CPCH04L41/0631H04L41/12H04L41/142G06N20/00
Inventor 杨鹏杨波
Owner 南京群顶科技股份有限公司
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