Failure prediction method of optical module, electronic equipment and storage medium

By linearly fitting the historical index data of the optical module, real-time monitoring and early fault prediction of the optical module are realized, solving the problem of difficult real-time monitoring and early prediction in the existing technology, and it does not require model training and is suitable for prediction of new types of faults.

CN119692509APending Publication Date: 2025-03-25ZTE CORP
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Patent Information

Application Number
CN202311245486.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-25
Publication Date
2025-03-25

AI Technical Summary

Technical Problem

The existing technology is difficult to realize real-time monitoring and early fault prediction of optical modules, and machine learning-based methods require a large amount of labeled data for model training, and the model interpretation is difficult and the prediction of new types of faults is poor.

Method used

By obtaining the historical index data of the optical module, failing prediction is performed using segmented linear fitting method to determine the failure prediction results of the optical module, without model training, and is suitable for prediction of new types of faults.

Benefits of technology

It realizes convenient and accurate prediction of the operation of the optical module in the future, reduces the amount of data processing, and provides relatively accurate failure prediction results for the new invalid types without repeated training of the model.

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Abstract

The invention provides an optical module failure prediction method, electronic equipment and a storage medium, and relates to the technical field of communication. The method comprises the following steps: acquiring historical index data of an optical module; according to the historical index data of the optical module, failure prediction is carried out in a piecewise linear fitting mode, and a failure prediction result of the optical module is determined. According to the embodiment of the invention, the method can achieve the convenient and accurate failure prediction of the optical module, can give a more accurate failure prediction result for a new invalid type, and does not need to carry out the repeated model training.
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