一种基于AI光谱反馈的双光源智能动态调控系统及方法

By using timestamp alignment and online identification technology, candidate control parameters for dual light sources are generated, which solves the problems of light source interaction coupling and inconsistent feedback timing in multi-light source systems, and achieves stable spectral tracking and safe control.

CN121888447BActive Publication Date: 2026-07-17BEIJING TIANCHENG XINKONG ENVIRONMENTAL PROTECTION TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING TIANCHENG XINKONG ENVIRONMENTAL PROTECTION TECH CO LTD
Filing Date
2026-01-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, multi-source systems struggle to maintain consistent alignment with the target spectrum when interactive coupling and feedback timing are inconsistent, leading to mismatch in control inputs.

Method used

By synchronously acquiring drive execution feedback data and spectral measurement feedback data from dual light sources, aligning the timestamps, and performing dark level subtraction, noise suppression, and band resampling, error characteristics and operating condition characteristics are formed. Combined with online identification and artificial intelligence control strategies, candidate control quantities for dual light sources are generated and compensated and allocated.

Benefits of technology

It achieves adaptive tracking of coupling relationship under operating condition drift, reduces the impact of abnormal disturbances, ensures reasonable distribution of control amount, and achieves stable tracking and safe control of target spectrum.

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Abstract

本发明公开了一种基于AI光谱反馈的双光源智能动态调控系统及方法,涉及光电检测技术领域,包括,将当前光谱反馈与目标光谱进行差异提取,形成误差特征,并读取驱动执行反馈数据中的实际输出电流、输出功率与温升状态,形成工况特征;基于相邻控制周期的驱动执行反馈数据变化与当前光谱反馈变化进行在线辨识,更新双光源交互耦合特征,并结合辨识拟合偏差,获取可信度标记;将误差特征、工况特征、双光源交互耦合特征与可信度标记输入人工智能控制策略生成双光源候选调控量,并对双光源候选调控量进行补偿分配;对补偿后的双光源候选调控量执行上下限约束、变化率约束与功耗温升约束后下发。本发明实现目标光谱稳定跟踪与安全调控。
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