基于变异粒子群算法的梳棉机智能化研究  

Research on Carding Machine Intelligence Based on Mutation Particle Swarm Optimization Algorithm

作　　者：杨锐彪 张崇 蔡飞 杨宝凯 Yang Ruibiao;Zhang Chong;Cai Fei;Yang Baokai(Qingdao Hongda Textile Machinery Co.,Ltd.,Qingdao 266000,China)

机构地区：[1]青岛宏大纺织机械有限责任公司,山东青岛266000

出　　处：《山东纺织科技》2024年第5期24-27,共4页Shandong Textile Science & Technology

摘　　要：文章将智能优化算法等技术应用于梳棉机,通过对采集到的棉网图像进行优化处理,采用基于变异粒子群算法的最大熵阈值分割法将图像进行分割,通过MATLAB仿真实验对比分析,证明本文所引进的算法能够较为快速准确得识别出棉网中的棉结和杂质。This article applied intelligent optimization algorithms and other technologied to carding machines.By optimizing and processing the collected cotton web images,the maximum entropy threshold segmentation method based on mutation particle swarm optimization algorithm was used to segment the images.Through MATLAB simulation experiments and comparative analysis,it was proved that the algorithm introduced in this article could quickly and accurately identify cotton knots and impuritied in the cotton web.

关 键 词：智能化 棉结 最大熵阈值分析 变异粒子群算法 

分 类 号：TS112[轻工技术与工程—纺织材料与纺织品设计]