食品与发酵工业 >

2025 , Vol. 51 >Issue 24: 375 - 386

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.042856

综述与专题评论

基于视觉的在线检测技术在食品干燥应用中的研究现状

  • 刘玉轩 ,
  • 张学滔 ,
  • 罗力玮 ,
  • 李孟卿 ,
  • 车鑫 ,
  • 李梦瑶 ,
  • 冯洁 ,
  • 杨旭海 ,
  • 张茜
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  • 1(石河子大学 机械电气工程学院,新疆 石河子,832003)
    2(农业农村部西北农业装备重点试验室,新疆 石河子,832003)
    3(现代农业机械兵团重点试验室,新疆 石河子,832003)
第一作者:硕士研究生(张茜教授为通信作者,E-mail:1554608278@qq.com)

收稿日期: 2025-03-26

  修回日期: 2025-06-04

  网络出版日期: 2026-01-12

基金资助

国家自然科学基金项目(32360605);重点领域科技攻关项目(2023AB076);兵团科技计划项目-兵团青年科技创新资金专项(2023CB016)

收起

Current research status of vision-based online inspection technology in food drying application

  • LIU Yuxuan ,
  • ZHANG Xuetao ,
  • LUO Liwei ,
  • LI Mengqing ,
  • CHE Xin ,
  • LI Mengyao ,
  • FENG Jie ,
  • YANG Xuhai ,
  • ZHANG Qian
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  • 1(School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)
    2(Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832003, China)
    3(Key Laboratory of Modern Agricultural Machinery Corps, Shihezi 832003, China)

Received date: 2025-03-26

  Revised date: 2025-06-04

  Online published: 2026-01-12

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摘要

在食品加工领域,干燥作为关键环节,对食品的品质、保存期限及运输便利性起着决定性作用。干燥过程涉及诸多复杂变量,如物料的水分含量、温度、颜色、形状等,这些参数的精准监测与有效控制,直接关系到干燥产品的质量与生产效率。传统的人工检测方式不仅效率低下、误差较大,还易对干燥过程造成干扰,难以满足现代化大规模、高精度生产的需求。随着科技的飞速发展,在线检测技术凭借其快速、无损、实时等显著优势,在干燥设备中的应用愈发广泛。其中,基于视觉的在线检测技术,特别是计算机视觉技术,能够通过对图像的采集、处理和分析,获取丰富的物料信息,为干燥过程的精准控制提供有力支持,成为当前研究的重点与热点方向。但是当前对于视觉检测在食品干燥中的运用的相关文章还较少,该文从颜色、形状、纹理等方面概述了视觉检测在干燥中的应用,并且近一步地分析了视觉技术和其他检测技术融合的发展,为后续相关研究提供了借鉴与参考。

关键词： 干燥设备; 在线检测; 计算机视觉; 技术融合; 深度学习

本文引用格式

刘玉轩 , 张学滔 , 罗力玮 , 李孟卿 , 车鑫 , 李梦瑶 , 冯洁 , 杨旭海 , 张茜 . 基于视觉的在线检测技术在食品干燥应用中的研究现状[J]. 食品与发酵工业, 2025 , 51(24) : 375 -386 . DOI: 10.13995/j.cnki.11-1802/ts.042856

Abstract

In the field of food processing, drying, as a key link, plays a decisive role in the quality, shelf life, and transport convenience of food.The drying process involves many complex variables, such as moisture content, temperature, colour and shape of the material, etc.The accurate monitoring and effective control of these parameters are directly related to the quality and production efficiency of the dried products.The traditional manual detection method not only is inefficient and inaccurate, but also easily interferes with the drying process, making it difficult to meet the needs of modern large-scale and high-precision production.With the rapid development of science and technology, online inspection technology is more and more widely used in drying equipment by virtue of its fast, non-destructive, real-time and other significant advantages.Among them, vision-based online inspection technology, especially computer vision technology, can acquire rich material information through the acquisition, processing and analysis of images, providing powerful support for the precise control of the drying process, which has become the focus of the current research and a hot direction.However, there are fewer articles on the use of visual inspection in food drying.This paper outlines the application of visual inspection in drying from the aspects of colour, shape, texture, etc., and analyses the development of the integration of visual technology and other inspection technologies in a closer way, which provides a reference for subsequent relevant researchers.

Key words： drying equipment; online inspection; computer vision; technology integration; deep learning

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