基于光谱技术与光学仿真的柚果在线检测托盘设计与试验
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(1. 华南农业大学工程学院,广东 广州 510642;2. 广东省农业科学院农产品公共监测中心,广东 广州 510642;3. 广东省农业科学院,广东 广州 510642)

作者简介:

孙潇鹏,男,华南农业大学在读博士研究生。

通讯作者:

徐赛(1991—),男,广东省农业科学院助理研究员,博士。E-mail:294504658@qq.com

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基金项目:

国家自然科学基金项目(编号:31901404);广东省农业科学院院新兴学科团队建设项目(编号:201802XX);广东省重点领域研发计划项目(编号:2018B020240001);广州市科创委项目(编号:201904010199);广东省农业科学院院长基金面上项目(编号:201920)


Design and experiment of online detection pallets for pomelo fruit based on spectral technique and optical simulation
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(1. College of Engineering, South China Agricultural University, Guangzhou, Guangdong 510642, China; 2. Agricultural Products Public Monitoring Center of Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong 510642, China; 3. Guangdong Academy of Agricultural Sciences, Guangzhou, Guangdong 510642, China)

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    摘要:

    采用Trace pro软件对柚果及配套传送托盘模型进行光学仿真分析,设计一款适用于柚果在线检测的传送托盘。通过结构优化和材料替换等方法,对仿真结果中辉度/照度值较高的托盘模型,进行实物加工。柚果置于不同类托盘上,自主搭建光谱平台分别采集柚果漫透射光谱进行试验对比。以试验结果最优的托盘配合柚果进行光谱采集,光谱经预处理,连续投影算法提取光谱特征波段,建立柚果可溶性固形物含量的偏最小二乘回归法的预测模型,最佳预测决定系数为0.957;预测均方根误差为0.271 °Brix。结果表明,模型的预测能力好、预测精度高,传送托盘设计合理。

    Abstract:

    Combined with optical simulation analysis of Trace pro software, a delivery tray suitable for online detection of pomelo fruit is designed. Through the method of structure optimization and material replacement, the tray model with high irradiance/illumination value in the simulation results was processed in kind pomelo fruit was placed on a tray, and the diffuse transmission spectra of pomelo fruit were collected and compared on an independent spectral platform. The optimal tray with test results and pomelo fruit were used for spectral collection. After the spectral data pretreatment, the spectral characteristic points were extracted by continuous projection algorithm (SPA), and the prediction model of PLSR was established for the soluble solid content (SSC) of pomelo fruit. The optimal prediction determination coefficient Rpre2 was 0.957. The root means square error (RMSEP) was 0.271 °Brix. The results show that the prediction ability and accuracy of the model are better, and the design of the transfer tray is reasonable.

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引用本文

孙潇鹏,徐赛,陆华忠.基于光谱技术与光学仿真的柚果在线检测托盘设计与试验[J].食品与机械,2019,35(12):56-62.
SUN Xiao peng, XU Sai, LU Hua zhong. Design and experiment of online detection pallets for pomelo fruit based on spectral technique and optical simulation[J]. Food & Machinery,2019,35(12):56-62.

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  • 收稿日期:2019-09-27
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  • 在线发布日期: 2022-10-05
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