Study of an auxiliary trimming device for cracked carrots

IF 2.7 3区 农林科学 Q3 ENGINEERING, CHEMICAL Journal of Food Process Engineering Pub Date : 2024-07-04 DOI:10.1111/jfpe.14679
Jingshen Xu, Lanlan Lv, Zhaohui Zheng, Liuyang Ren, Hanyu Fu, Pei Yang, Weijun Xie, Deyong Yang
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Abstract

Cracked carrots account for a large proportion of defective carrots, which are usually discarded or used as feed, resulting in resource waste and economic benefit loss. Cracked carrots can be used as raw materials for further processed carrot products after being trimmed. So, an auxiliary device was developed combining PLC (Programmable Logic Controller) and machine vision to achieve clamping and crack defect localization for intelligent trimming of crack defect. The carrot was orientated based on the area method, rotated by flexible jaws and a rotating cylinder to make the carrot head and tail aligned. The clamping device could non-destructively clamp carrot in axial and radial direction with a force threshold of 10 and 22 N respectively, and rotate carrot to make the crack defect upwards. The results showed that the recognition accuracy of carrot head and tail orientation was 98%, the average deviation of carrot centroid clamping position was less than 9 mm at a speed of 300 mm/s, the rotational positioning time was less than 3 s and the number of adjustments were no more than 2 at a motor speed of 180 rpm, which could meet the subsequent trimming requirements.

Practical applications

Trimming the cracked area of carrots can reduce bacterial growth and decay, which is beneficial for subsequent processing and reduces resource waste. This article designs a carrot auxiliary trimming device, which uses image processing technology to recognize the orientation of the head and tail of carrots and the cracked area, and uses automated equipment to achieve stable clamping of carrots and make the cracked area face the trimming tool. This study is beneficial for the refined management of agricultural products.

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裂纹胡萝卜辅助修剪装置的研究
开裂胡萝卜在有缺陷的胡萝卜中占很大比例,通常被丢弃或用作饲料,造成资源浪费和经济效益损失。开裂的胡萝卜经修剪后可作为胡萝卜深加工产品的原料。因此,我们结合 PLC(可编程逻辑控制器)和机器视觉开发了一种辅助设备,以实现夹持和裂纹缺陷定位,从而实现裂纹缺陷的智能修剪。胡萝卜根据面积法定位,通过柔性夹钳和旋转气缸旋转,使胡萝卜头尾对齐。夹紧装置可在轴向和径向无损夹紧胡萝卜,力阈值分别为 10 N 和 22 N,并旋转胡萝卜使裂纹缺陷向上。结果表明,胡萝卜头尾方向的识别准确率为 98%,在速度为 300 mm/s 时,胡萝卜中心点夹持位置的平均偏差小于 9 mm,旋转定位时间小于 3 s,在电机转速为 180 rpm 时,调整次数不超过 2 次,可满足后续修剪要求。 实际应用 修剪胡萝卜的开裂部位可以减少细菌滋生和腐烂,有利于后续加工,减少资源浪费。本文设计了一种胡萝卜辅助修剪装置,利用图像处理技术识别胡萝卜的头尾方向和开裂部位,利用自动化设备实现胡萝卜的稳定夹持,使开裂部位朝向修剪工具。这项研究有利于农产品的精细化管理。
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来源期刊
Journal of Food Process Engineering
Journal of Food Process Engineering 工程技术-工程:化工
CiteScore
5.70
自引率
10.00%
发文量
259
审稿时长
2 months
期刊介绍: This international research journal focuses on the engineering aspects of post-production handling, storage, processing, packaging, and distribution of food. Read by researchers, food and chemical engineers, and industry experts, this is the only international journal specifically devoted to the engineering aspects of food processing. Co-Editors M. Elena Castell-Perez and Rosana Moreira, both of Texas A&M University, welcome papers covering the best original research on applications of engineering principles and concepts to food and food processes.
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