基于机器视觉的锯材分拣系统设计与试验

李海芸; 董楸煌; 叶大鹏

doi:10.12326/j.2096-9694.2025025

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基于机器视觉的锯材分拣系统设计与试验
Design and Experiment of the Sawn Timber Sorting System Based on Machine Vision
1.闽江师范高等专科学校智能制造学院，福建福州 350108
2.福建农林大学机电工程学院，福建福州 350002
2025年39卷第4期页码：98-104
DOI： 10.12326/j.2096-9694.2025025
稿件说明：

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李海芸,董楸煌,叶大鹏.基于机器视觉的锯材分拣系统设计与试验[J].木材科学与技术,2025,39(04):98-104. DOI： 10.12326/j.2096-9694.2025025.

LI Haiyun,DONG Qiuhuang,YE Dapeng.Design and Experiment of the Sawn Timber Sorting System Based on Machine Vision[J].Chinese Journal of Wood Science and Technology,2025,39(04):98-104. DOI： 10.12326/j.2096-9694.2025025.

摘要

为实现锯材自动化快速分拣，设计一种结合机器视觉的锯材自动分拣系统。整机系统主要包括锯材输送、翻面、检测、自动分拣等模块；控制系统包含锯材机器视觉检测和整机运动控制等。控制系统通过对锯材表面进行图像采集、处理，识别锯材的活节、死节、虫眼等表面缺陷，并根据图像分析结果对分拣运动系统进行控制，实现对锯材实时分拣作业。试制的样机对锯材双面活节、死节和虫眼缺陷实时检测及分拣，识别率分别为86.67%、86.67%和80.00%，验证了分拣系统作业的可行性。

Abstract

In order to achieve automated and efficient sorting of sawn timber with various surface conditions

a sawn timber automatic sorting system integrated with machine vision is designed. The entire system is mainly composed of modules including sawn timber conveyance

sawn timber automatic flipping

sawn timber inspection

and automatic sorting. The mechanical structure comprises chain conveying and a multi-stage automatic sorting

while the control system features sawn timber machine vision inspection and overall motion control functions. The control system adopts high-performance image acquisition and processing of sawn timber to identify surface defects such as live knots

dead knots

and wormholes. Based on the image analysis results

it controls the sorting motion system to achieve real-time grading and sorting of sawn timber. The prototype conducted real-time detection and sorting of defects such as living knot

dead knot

and insect hole on both sides of sawn timber. The recognition rates were 86.67%

86.67%

and 80.00% respectively

which verified the feasibility of the sorting system operation.

关键词

Keywords

references

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