水果品质分选机的研发  

Research and development of fruit quality sorting machine

作　　者：王文超 葛凤丽[2] 徐文凯 赵鲁海 李娟[1] WANG Wen-chao;GE Feng-li;XU Wen-kai;ZHAO Lu-hai;LI Juan(Qingdao Agricultural University,College of Mechanical and Electrical Engineering,Qingdao,Shangdong 266109,China;Qingdao Agricultural University,College of Economics and Management,Qingdao,Shangdong 266109,China;Shandong Yantai Apple Big Data Company Limited,Yantai,Shangdong 264003,China)

机构地区：[1]青岛农业大学机电工程学院,山东青岛266109 [2]青岛农业大学经济管理学院,山东青岛266109 [3]山东省烟台苹果大数据有限公司,山东烟台264003

出　　处：《食品与机械》2022年第9期98-102,共5页Food and Machinery

基　　金：国家自然科学基金项目(编号:32073029);山东省自然科学基金重点项目(编号:ZR2020KC027);山东省研究生教育质量提升计划项目(编号:SDYJG19134)。

摘　　要：目的:提高水果品质分选的质量和效率,降低人力成本。方法:设计一种能够对水果多种品质进行检测并分选的水果品质分选机,选用STC8A8K64S4A12单片机作为下位机,选用Jetson Xavier NX工控机作为上位机,利用人工智能的方法实现对水果损伤和糖度等品质的检测与分选。结果:该分选机对水果损伤检测准确率、糖度检测分辨率和速度分别为99%、0.1%和7 200个/h。结论:试验设备不仅可以避免因机械设备导致的水果损伤和掉果,而且操作简单、界面友好,能够满足实际水果品质分选的需要。Objective: Improve the quality and efficiency of fruit quality sorting and reduce labor costs. Methods: A fruit quality sorting machine is designed to detect and sort for fruit quality. The sorting machine uses STC8 A8 K64 S4 A12 as the slave computer and uses Jetson Xavier NX as the master computer. The sorting machine can achieve the detection and sorting of the fruit on damage and sugar content by artificial intelligence. Results: The accuracy, resolution of sugar degree and speed of the sorter for detecting fruit were 99%, 0.1% and 7 200 h, respectively. Conclusion: The device can not only avoid fruit damage and fruit drop caused by mechanical equipment, but also has a simple operation and friendly interface. The designed equipment can meet the requirement of fruit quality sorting.

关 键 词：水果 品质 分选机 人工智能 工控机 单片机 

分 类 号：TS255.35[轻工技术与工程—农产品加工及贮藏工程]