基于机器视觉和改进蚁群算法的经编鞋面冲压路径优化方法

IF 2.2 4区 工程技术 Q1 MATERIALS SCIENCE, TEXTILES
Xinfu Chi, Qi-Yao Li, Xiaowei Zhang, Hongxia Yan
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引用次数: 0

摘要

针对目前经编鞋面标记点机器打孔存在的路径重复和工作效率低的问题,提出了一种机器视觉与智能算法相结合的打孔路径规划方法。该方法通过限制搜索区域和相似函数阈值,提高了冲孔位置视觉识别的时效性;结合改进蚁群算法,提高了冲孔路径规划的全局搜索和自适应调整能力,计算出更准确、更高效的优化路径。通过改进蚁群算法的视觉识别测试和仿真测试,结果表明:模板匹配能够正确识别不同样式、旋转方向和光照条件下的定位孔标记点,识别精度为0.43 mm,重复定位精度为0.09 mm;同时,改进蚁群算法可以有效避免局部最优解,使结果的最优率提高约38%,算法可将最优解的迭代次数减少到60次以内,大大节省了路径规划的计算时间。该方法可用于实际经编鞋面冲裁中提高冲裁效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Punching path optimization method for warp-knitted vamp based on machine vision and improved ant colony algorithm
Aiming at the current problems of duplicated paths and low work efficiency in machine punching of warp knitted vamp marker points, this paper proposes a punching path planning method of machine vision combined with intelligent algorithms. The method can improve the timeliness of visual recognition of punching location by limiting the search area and similarity function threshold, and improve the ability of global search and adaptive adjustment in punching path planning by combining with the improved ant colony algorithm to calculate a more accurate and optimized path more efficiently. Through the visual recognition test and the simulation test of the improved ant colony algorithm, the results show that the template matching can correctly identify the positioning hole marker points for different styles, rotation directions and lighting conditions, and the recognition accuracy is 0.43 mm and the repeat positioning accuracy is 0.09 mm; meanwhile, the improved ant colony algorithm can effectively avoid the local optimal solution, which can improve the optimal rate of the result by about 38% and the algorithm can reduce the number of iterations of the optimal solution within 60 times, which greatly saves the calculation time of path planning. The method can be used to improve the efficiency of punching in the actual warp knit vamp punching.
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来源期刊
Journal of Engineered Fibers and Fabrics
Journal of Engineered Fibers and Fabrics 工程技术-材料科学:纺织
CiteScore
5.00
自引率
6.90%
发文量
41
审稿时长
4 months
期刊介绍: Journal of Engineered Fibers and Fabrics is a peer-reviewed, open access journal which aims to facilitate the rapid and wide dissemination of research in the engineering of textiles, clothing and fiber based structures.
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