基于ZEMAX的柚果内部品质光谱无损检测光路仿真与试验

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国家科技期刊平台
NETL
NSTL
万方数据

中文摘要：[目的]解决柚果Citrus maxima在无损检测中采集的光谱信息较弱、柚果内部品质检测不准确的问题。[方法]采用ZEMAX软件对光谱无损检测光路进行光学仿真，并搭建实物装置进行测试与验证。为进一步验证该光路对柚果内部品质的无损检测效果，采集 400～1 100 nm波段 132 个柚果光谱数据，理化测定其可溶性固形物含量并进行训练建模和测试验证。[结果]最优光路参数为:灯珠数量为 7、柚果与光源间距为 2 cm，探测器与柚果间距为 0。5 cm。通过Savitzky-Golay(SG)平滑和标准正态变换(Standard normal variate，SNV)预处理，竞争自适应重加权采样(Competitive adaptive reweighted sampling，CARS)特征选择，建立柚果糖度偏最小二乘回归(Partial least squares regression，PLSR)预测模型，训练集R2 和RMSE分别为0。81和0。85，测试集R2 和RMSE分别为 0。81 和 0。89。[结论]本研究得到的柚果光谱无损检测光路参数可用于柚果内部品质的无损检测，检测效果较好，也为其他大尺寸水果内部无损检测提供了参考。

外文标题：Optical path simulation and experiment for spectral nondestructive detection of pomelo fruit internal quality based on ZEMAX

外文摘要：[Objective]This study is aimed to address the issue that the spectral information collected in the non-destructive testing of pomelo fruit(Citrus maxima)is weak,and the detected internal quality of pomelo fruit is not accurate.[Method]The optical simulation of the optical path of spectral nondestructive testing was carried out by using ZEMAX software,and tested and verified by the physical device.In order to further verify the nondestructive detection effect of the optical path on the internal quality of pomelo fruit,the spectral data of 132 pomelo fruits in 400-1 100 nm band were collected,and their soluble solid contents were determined physically and chemically for training modeling and testing verification.[Result]The optimal parameters of the optical path were as following:The number of lamp beads was 7,the distance between the fruit and the light source was 2 cm,and the distance between the detector and the fruit was 0.5 cm.Through Savitzky-Golay(SG)smoothing and standard normal variate(SNV)preprocessing,competitive adaptive reweighted sampling(CARS)feature selection,a partial least squares regression(PLSR)prediction model was established.The R2 and RMSE of the training set were 0.81 and 0.85,and those of the test set were 0.81 and 0.89,respectively.[Conclusion]The optical path parameters of pomelo fruit obtained in this study are applicable for non-destructive detection of pomelo fruit internal quality,yielding satisfactory detection results.The results provide a reference for the internal non-destructive testing of other large fruits.

外文关键词：

Pomelo fruitZEMAXOptical path optimizationOptical simulationNondestructive detectionModeling and identification

作者：

陈鑫、徐赛、陆华忠、梁鑫

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作者单位：

华南农业大学工程学院,广东广州 510642

广东省农业科学院设施农业研究所,广东广州 510640

广东省农业科学院,广东广州 510640

关键词：

柚果 ZEMAX 光路优化光学仿真无损检测建模识别

基金：

广东省乡村振兴战略专项国家重点研发战略专项国家自然科学基金广东省农业科学院金颖人才培养计划项目广东省农业科学院新兴学科团队建设项目广州市青年托举人才项目

项目编号：

2023TS-1-22022YFD200220331901404R2020PY-JJX020202134T

出版年：

2024

DOI：

10.7671/j.issn.1001-411X.202310002

华南农业大学学报

华南农业大学

华南农业大学学报

CSTPCD北大核心

影响因子：0.837

ISSN：1001-411X

年,卷(期)：2024.45(4)