基于机器视觉的小白杏热风干燥控制系统设计  

Design on Apricot Hot Air Drying Control System Based on Machine Vision

作　　者：杨嘉鹏[1,2] 王帅帅 黄卉[1] 刘子绰 YANG Jiapeng;WANG Shuaishuai;HUANG Hui;LIU Zichuo(Xinjiang Institute of Engineering,Urumqi Xinjiang 830023,China;Artificial Intelligence and Intelligence Mine Engineering Technology Center,Xinjiang Institute of Engineering,Urumqi Xinjiang 830023,China)

机构地区：[1]新疆工程学院,新疆乌鲁木齐830023 [2]新疆工程学院人工智能与智慧矿山工程技术中心,新疆乌鲁木齐830023

出　　处：《农业工程》2024年第3期91-96,共6页AGRICULTURAL ENGINEERING

基　　金：新疆维吾尔自治区科技成果转化示范专项“乡村振兴产业发展科技行动项目”(2022NC025);新疆维吾尔自治区大学生创新创业训练计划项目(S202310994011)。

摘　　要：设计了一种基于机器视觉的小白杏热风干燥控制系统,该系统使用计算机视觉技术,对小白杏进行检测和分类,并自动控制热风干燥过程中的温度、风速。系统采用基于神经网络的目标检测算法,对小白杏进行检测和分割,利用图像处理技术提取小白杏的特征,并使用YOLOv7对小白杏进行分类。通过调整热风干燥的温度、风速和时间等参数,实现了对小白杏干燥过程中的品质保护,可保持小白杏品质和口感,提升杏干经济价值,该系统具有一定的应用前景。A apricot hot air drying control system based on machine vision was proposed,which used computer vision technology to de-tect and categorize apricots and automatically control temperature and wind speed in hot air drying process.The system used a neural net-work-based target detection algorithm to detect and segment apricots,extracted features of apricots using image processing technology,and classified apricots using YOLOv7.By adjusting parameters of temperature,wind speed and time of hot air drying,quality protec-tion of apricot drying process was realized,which could maintain quality and taste of apricot and enhance economic value of dried apricot,and the system has certain application prospects.

关 键 词：机器视觉 热风干燥 小白杏 目标检测 YOLOv7 

分 类 号：TS255[轻工技术与工程—农产品加工及贮藏工程]