一种光模块发射端偏置电流的实时监测与自适应优化系统

By using a real-time monitoring and adaptive optimization system, and combining aging health factors and thermal coupling factors to build a model, the problem of insufficient perception of aging and thermal coupling status in optical module bias current control is solved. This achieves high-precision bias current detection and dynamic adjustment, improving the performance and reliability of the optical module.

CN122419600APending Publication Date: 2026-07-17SHENZHEN XINGHAN LASER TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN XINGHAN LASER TECH CO LTD
Filing Date
2026-06-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing optical module bias current control technology cannot integrate aging and thermal coupling state perception under service-carrying conditions, resulting in excessive bias current compensation, increased power consumption of the drive circuit and a vicious cycle, making it impossible to achieve high-precision detection and dynamic adjustment.

Method used

A real-time monitoring and adaptive optimization system is adopted. The bias current value is obtained through the acquisition and judgment module. A joint prediction model is constructed by combining the aging health factor H and the thermal coupling factor G. A dynamic search window is set, a scanning sequence is executed and diagnostic optimization is performed, and finally the bias current setting value of the laser driver chip is updated.

Benefits of technology

It enables differentiated optimization under both business-sensitive and non-sensitive conditions, reduces the risk of business error codes, improves the accuracy of bias current prediction and scanning search efficiency, and avoids problems such as performance curve sampling distortion and excessive optimization time.

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Abstract

本发明公开了一种光模块发射端偏置电流的实时监测与自适应优化系统,涉及光通信器件控制技术领域,包括:采集判定模块、建模评估模块、扫描执行模块和诊断优化模块;在进入自适应优化过程后,基于历史优化记录数据库和当前采集数据计算老化健康因子H和热耦合因子G,在数据不足时根据当前温度对应的典型偏置电流值并结合H和G得到预测最优偏置电流值,在数据充足时,通过环境温度、H和G构建联合预测模型,得到预测最优偏置电流值和最终置信度值;通过H与G的量化计算,做到了对激光器最优偏置电流漂移趋势的多维度动态权重评估,通过业务状态参数的实时采集与敏感度分级判定,结合扫描策略,降低了自适应优化过程中引发的业务误码风险。
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