基于近红外光谱与颜色特征的炼蜜过程表征方法及系统

CN122024898BActive Publication Date: 2026-07-17SHANDONG UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG UNIV
Filing Date
2026-04-10
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies lack interpretability of the model's decision-making mechanism during the honey refining process, resulting in incomplete characterization of the honey refining process, insufficient correspondence between detection results and process states, and difficulty in verifying whether the model's prediction logic conforms to the actual physicochemical reaction pathway.

Method used

By employing a fusion method of near-infrared spectroscopy and color features, and combining partial least squares regression and extreme gradient boosting models with a hierarchical interpretation framework, we analyze the driving effect of key spectral wavelengths and color features on quality attributes, and construct an interpretable characterization model for the honey refining process.

Benefits of technology

It achieves high-precision characterization of the honey refining process, ensures consistency between the model prediction mechanism and the actual reaction path, improves the scientific nature and reliability of honey refining process control, and provides reliable process control and quality traceability capabilities.

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Abstract

本发明属于中药炼蜜过程检测与分析技术领域。提出了一种基于近红外光谱与颜色特征的炼蜜过程表征方法及系统,通过外循环管路获取流通池内样品的近红外光谱数据及对应颜色图像;接着从图像中提取低维颜色特征,将其与预处理后的光谱数据耦合融合,构建炼蜜过程状态表征向量;建立偏最小二乘回归模型作为主模型,并引入极端梯度提升模型作为非线性补充,以获得综合表征结果;利用分层解释框架对双模型进行变量贡献分析,验证模型预测机制与炼蜜过程中物理化学反应路径的一致性。该方法融合了光谱与视觉信息,结合线性与非线性建模优势,并通过可解释性分析确保模型机理可靠,为炼蜜过程的精准监控提供了新途径。
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