苹果腐心病的透射光谱在线检测系统设计及试验

发布时间：2019-03-05 19:54

【摘要】：针对苹果内部缺陷在线检测的产业技术需求,研究基于透射光谱技术的苹果内部缺陷在线检测系统。研究设计了光源套件、专用光纤和果托式输送单元等关键部件,提升在线透射光谱质量、降低热损伤和机械损伤;解决了光电信号干扰问题,开发了专用检测软件,实现苹果内部品质信息的无损在线获取。比较分析了正常苹果与腐心病果的光谱响应差异,优化参数后设置在线检测速度3个/秒,触发控制光谱采集时间80 ms。在选择特征波长的基础上利用线性判别分析建立了苹果腐心病的在线判别模型,预测的总体识别率达90%以上。研究结果表明该系统可以实现苹果内部缺陷的快速、无损在线检测。
[Abstract]:In order to meet the industrial requirements of on-line inspection of apple internal defects, a transmission spectrum based on-line detection system of apple internal defects is studied. In order to improve the quality of on-line transmission spectrum and reduce thermal and mechanical damage, some key components, such as light source kit, special optical fiber and Guotou conveying unit, have been designed to improve the on-line transmission spectrum quality. The problem of photoelectric signal interference is solved, and the special testing software is developed to realize the lossless on-line acquisition of Apple's internal quality information. The difference of spectral response between normal apple and rot fruit was compared and analyzed. After optimizing the parameters, the on-line detection speed was set to 3 / s, and the spectrum acquisition time of 80 ms. was triggered. On the basis of selecting characteristic wavelength, an on-line discriminant model of apple rot heart disease was established by linear discriminant analysis. The overall recognition rate of prediction was more than 90%. The results show that the system can realize fast and non-destructive on-line inspection of Apple internal defects.
【作者单位】：江苏大学食品与生物工程学院;国家农业智能装备工程技术研究中心;
【基金】：国家自然科学基金(31501216) 国家科技支撑计划(2015BAD19B03) 江苏大学高级人才基金(15JDG169)
【分类号】：S436.611;TP274

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