摘要
针对在传统工业体系中,改性塑料投放还是以人工为主,原材料通过人工手动划破的方式,将袋中的物料倒入投料口中,效率低下,影响人体身体健康,容易引入二次污染,且物料残留率较高。通过研究机器视觉定位抓取技术、双机器人协同控制技术等关键技术,设计开发了基于双机器人协同的高效拆垛投料系统,实现PDA下单,MES系统中转,AGV精准送料,物料识别,夹具定位抓取,破包,仿真抖动,废袋收集等自动化高效化生产作业,该套系统经过反复推论与研究,证实是可行的,并且在客户现场实现生产应用。经过长期运行验证,系统稳定运行,满足生产工艺要求。采用双机器人协同作业,实现产能约7 t/h,比人工投放效率更高更优,提升了企业生产效率;而且破袋方式简单,物料残留率不大于0.05%,大大降低了客户生产成本。
In traditional industrial systems,the handling of modified plastics is still primarily manual.Workers typically cut open bags by hand and pour the raw materials into feeding ports,resulting in low efficiency,adverse effects on human health,the risk of secondary contamination,and high material residue rates.This study focuses on key technologies such as machine vision-based positioning and grasping,as well as dual-robot collaborative control,to design and develop a high-efficiency automated bag-breaking and feeding system based on dual-robot collaboration.The system integrates PDA order placement,MES system relay,AGV precision material delivery,material recognition,gripper positioning and grasping,bag breaking,simulated shaking,and waste bag collection,achieving fully automated and efficient production operations.Through repeated theoretical analysis and testing,the system is proven feasible and is successfully implemented in customer production environments.Long-term operational validation confirms that the system runs stably and meets production process requirements.Utilizing dual-robot collaborative operation,the system achieves a production capacity of approximately 7 t/h,significantly surpassing manual feeding in efficiency and enhancing overall enterprise productivity.Additionally,the bag-breaking method is simple and effective,the residual rate of materials shall not exceed 0.05%,substantially reducing production costs for customers.
作者
高喜涛
申淑丽
梅雪川
吴科龙
Gao Xitao;Shen Shui;Mei Xuechuan;Wu Keong(Guoji Intelligent Technology Co.,Ltd.,Guangzhou 510700,China)
出处
《机电工程技术》
2025年第13期185-189,共5页
Mechanical & Electrical Engineering Technology
关键词
改性塑料
视觉系统
工业机器人
自动化拆包
modified plastics
visual system
industrial robots
automatic unpacking
作者简介
高喜涛(1986-),男,硕士研究生,工程师,研究领域为人工智能。
