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基于几何优化驱动算法的智能金属探测及处置自动化装备

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为解决木浆非织造原料生产线混入金属杂质的问题,设计了一款智能金属探测及处置自动化装备。基于电磁感应原理,采用初检加多方位复检的方式,实现对金属坐标的精准定位。基于几何优化驱动算法,通过找到最多覆盖圆的圆心所在位置来判定裁剪区域。该算法可极大程度地缩小裁剪面积,并通过边缘最远覆盖圆算法,尽可能保留边缘布料。基于速度补偿算法,可实现上下卷的灵活切换以保证生产效率最大化。与现有生产线的金属检测装置相比,所设计的自动化装备具有检测灵敏度更高、金属位置定位更精准、裁剪物料面积更小、生产效率更高的优势,可以使生产流程更连续化、自动化和智能化。
Intelligent Metal Detection and Disposal Automation Equipment Based on Geometric Optimization Driving Algorithm
In order to solve the problem of metal impurities mixed in the production line of wood pulp nonwoven raw materials,intelligent metal detection and disposal automation equipment is designed.Based on the principle of electromagnetic induction,the precise positioning of metal coordinates is realized by initial inspection and multi-directional re-inspection.Based on a geometry optimization driving algorithm,the cutting area is determined by locating the center of the circle that covers the maximum area.This approach aims to minimize the cutting area and maximize the use of materials.Additionally,the method strives to preserve as many fabrics at the edges as possible by employing the farthest edge covering circle algorithm.Based on a speed compensation algorithm,the flexible switching of upper and lower rolls is realized to ensure the maximum production efficiency.Compared with the metal detection device in the existing production line,the designed automation equipment has the advantages of higher detection sensitivity,more accurate metal coordinate positioning,smaller cutting material areas and higher production efficiency,which can make the production process more continuous,automated and intelligent.

intelligent manufacturingelectromagnetic inductionmetal detectiongeometric optimization driving algorithmautomation equipment

田雪慧、李成族、位珂晗、钱洋、张璐、王荣武

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东华大学纺织学院,上海 201620

智能制造 电磁感应 金属探测 几何优化驱动算法 自动化装备

2024

东华大学学报(英文版)
东华大学

东华大学学报(英文版)

影响因子:0.091
ISSN:1672-5220
年,卷(期):2024.41(5)