Method and device for identifying life cycle operation and maintenance state of optical channel

Abstract

The invention discloses a method and device for identifying the life cycle operation and maintenance state of an optical channel. The method includes: collecting historical data of a current network through a network management system, and defining the life cycle operation and maintenance state of the optical channel according to the historical data, wherein the historical data comprise topological structure data, historical alarm data and historical performance data; performing sample labeling on the collected historical data through active learning to obtain a labeled sample set containing a plurality of labeled data; performing feature engineering processing on the data in the labeled sample set, and calling a machine learning algorithm to train the processed data to obtain an optical channel life cycle operation and maintenance state recognition model; calling the optical channel life cycle operation and maintenance state identification model for the to-be-detected optical channel to obtain the optical channel life cycle operation and maintenance state of the to-be-detected optical channel, and positioning the position and reason of the hidden danger according to the corresponding characteristics. According to the scheme, the life cycle operation and maintenance state of the optical channel can be quickly and accurately identified, and faults can be predicted and fault causes can be positioned in advance.

Description

technical field [0001] The invention belongs to the technical field of OTN network intelligent operation and maintenance, and more specifically relates to a method and a device for identifying the life cycle operation and maintenance status of an optical channel. Background technique [0002] The optical network is the cornerstone of the information society. The Internet, 4G / 5G, and power, financial and other industry networks are all based on the optical network. Once the optical network fails, the end user will directly face serious problems such as service interruption and long repair cycle. How to detect network hidden dangers in time before optical network failures occur and prevent failures has always been an important challenge in the field of telecom operation and maintenance. [0003] Traditional operation and maintenance solutions usually set fixed performance thresholds and alarm methods in the network management system based on experience. When a fault occurs, th...

AI Technical Summary

Problems solved by technology

[0005] In view of the above defects or improvement needs of the prior art, the present invention provides a method and device for identifying the operation and maintenance status of the optical channel life cycle, the purpose of which is to train the recognition model based on a small-sample machine learning method to identify the optical channel life cycle Operation and maintenance status, thereby solving the technical problems of low efficiency and low accuracy of traditional operation and maintenance solutions that rely on manual judgment, and it is difficult to locate and eliminate hidden dangers in advance

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