摘要
目前国内三四线城市的快递分拣主要为人工分拣,受员工疲劳等因素影响,效率低、差错率高。虽然市场上已有交叉带分拣机等设备,但存在成本高、占地面积大等局限,为了改善这种情况,提出一种翻盘式快递自动分拣装置。该装置由机械系统和PLC-组态-视觉联合控制系统构成。机械系统采用皮带输送机提供循环动力,翻盘式结构通过相对运动实现双侧分拣,设计气动回路为分拣机构提供动力;PLC-组态-视觉联合控制系统采用视觉识别技术提取快递面单信息,设计了人机交互的组态王上位机通讯,获取视觉识别出的代表位置信息的字符,将PLC作为下位机控制硬件动作。结果表明,该装置工作安全可靠、空间利用率高、节能高效,适用于中小物流企业。
At present,the delivery sorting in China’s third-tier and fourth-tier cities is mainly manual sorting,which is affected by fatigue and other factors,resulting in low efficiency and high error rate.Although there are some equipment such as cross belt sorting machine in the market,it has the limitation of high cost and large floor space.To improve the situation,a Flip-disk typed automatic sorting device for express delivery was proposed,which was composed of mechanical system and PLC-configuration-vision joint control system.The mechanical system adopts the belt conveyor to provide the circulating power,the tilting plate structure realizes the bilateral sorting through the relative movement,and the pneumatic circuit is designed to provide the power for the sorting mechanism.The PLC-configuration-vision joint control system adopts the visual recognition technology to extract the surface information of express delivery,designs the human-computer interactive Kingview upper computer communication,and obtains the characters representing the position information identified by the vision,with PLC used as the lower computer to control the hardware action.The results show that the device works safely and reliablywith high space utilization rate and energy saving efficiency,suitable for small and medium-sized logistics enterprises.
作者
吕潜龙
阮学云
LV Qianlong;RUAN Xueyun(School of Mechanical Engineering,Anhui University of Science and Technology,Huainan Anhui 232001,China)
出处
《安徽理工大学学报(自然科学版)》
CAS
2021年第1期62-67,共6页
Journal of Anhui University of Science and Technology:Natural Science
基金
安徽省自然科学研究基金资助项目(KJ2016A201)
安徽理工大学2019年研究生创新基金资助项目(2019CX2036)
安徽理工大学2019年创业扶持基金资助项目。
关键词
分拣装置
翻盘式
机器视觉
组态
PLC
sorting device
flip-disk type
machine vision technology
configuration
PLC