Updating method and system for optical performance degradation trend prediction

Abstract

The invention discloses an updating method and system for optical performance degradation trend prediction, and relates to the field of optical communication, and the method comprises the steps: constructing a neural network for predicting an optical performance degradation trend based on an original key performance index; and extracting a new key performance index from the added optical performance indexes, obtaining a correlation coefficient by calculating a covariance between the new key performance index and the original key performance index, and selecting the new key performance index ofwhich the correlation coefficient is less than or equal to an influence degree threshold as all or part of samples to update the neural network. According to the method, when the optical performanceindexes are increased, new key performance indexes are obtained from the optical performance indexes and serve as samples to update the neural network for predicting optical performance degradation, the optical performance degradation trend is continuously perfected, and the prediction accuracy is improved.

Description

technical field [0001] The present invention relates to the field of optical communication, in particular to an update method and system for predicting the degradation trend of optical performance. Background technique [0002] During the operation of optical communication equipment, optical devices, optical modules, and optical channels continuously generate a large amount of performance status data, which are performance indicators; these data are obtained by the optical module and single disk of the equipment, and reported to the management and control platform for processing. [0003] Traditional optical performance degradation prediction methods include Markov transfer matrix prediction, exponential smoothing prediction, etc. These methods mine the variation law of optical performance indicators, and predict the degradation trend of optical performance indicators based on the mined variation laws. [0004] However, these methods need to obtain the key performance indica...

AI Technical Summary

Problems solved by technology

[0004] However, these methods need to obtain the key performance indicators that affect the prediction of the deterioration trend. If some key performance indicators cannot be obtained, the prediction error will be relatively large

In actual communication network engineering, affected by various factors, some key performance indicators may not be obtained in time

For example, communication interruptions lead to failure to report optical power performance indicators, optical module manufacturers are temporarily unable to provide key performance indicators such as dispersion, and management and control platform hard disk failures lead to loss of optical signal-to-noise ratio performance indicators. The above situations will lead to some key optical performance indicators cannot be extracted. Affect the forecasting effect of traditional forecasting methods

Images