首页|基于机器视觉、AGV动态路径规划的仓储分拣系统开发

基于机器视觉、AGV动态路径规划的仓储分拣系统开发

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常规的仓储分拣系统主要采用传统的摆轮矩阵结合分拣机的方式进行分拣,但由于输送中转距离远、需要多次初分/细分、劳动强度大等因素,导致出库、分拣时间较长,包裹破损率较高等情况发生,同时自动化程度一直没有较大的提升。针对仓储分拣系统的控制难点,文中从工艺布局、控制算法、接口交互等几个方面进行剖析和阐述,采用2D/3D视频技术、机械臂抓取技术、AGV自动搬运技术等,研发了一套基于机器视觉、AGV动态路径规划的仓储分拣系统,减少了包裹周转次数,提高了包裹处理时效和系统自动化水平。
Development of Warehouse Sorting System Based on Machine Vision and AGV Dynamic Path Planning
The conventional warehousing sorting system mainly employs the traditional method of combining swing wheel matrices with sorting machines for sorting. However,factors such as long transfer distance,the need for multiple initial/subsequent sorting processes,and high labor intensity during the transportation result in issues like extended outbound and sorting times,as well as a higher package damage rate. Additionally,the level of automation has not seen significant improvement. Addressing the control challenges of the warehousing sorting system,this paper analyzes and elaborates on aspects such as process layout,control algorithms,and interface interactions. By adopting 2D and 3D video technology,robotic arm grasping technology,and AGV (Automated Guided Vehicle) automatic handling technology,a warehousing sorting system based on machine vision and AGV dynamic path planning has been developed. This system reduces the number of package transfers,enhances package processing efficiency and the system's automation level.

visual recognitionintelligent graspingpath planning

张广会

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广东信源物流设备有限公司,广东 广州 510507

视觉识别 智能抓取 路径规划

2024

物流工程与管理
中国仓储协会 全国商品养护科技情报中心站

物流工程与管理

影响因子:0.412
ISSN:1674-4993
年,卷(期):2024.46(8)