摘要
自动引导运输车(Automated Guided Vehicle,AGV)和移动机器人已逐步成为仓储物流和工业生产中的重要设备,因此企业对此类设备的监控和维护需求日益提升。针对企业在设备运维中存在的问题,首先提出了基于5G+工业互联网的AGV/移动机器人智能运维系统设计方案,包括5G网络、智能运维平台和运维业务应用的搭建,以及基于迁移学习和联邦学习的故障模型训练与优化方法;最后,在企业生产环境中进行了相应的系统部署,并通过真实设备数据验证了所提系统设计方案的有效性。
Automated guided vehicles(AGV)and mobile robots have gradually become important equipments in warehouse logistics and industrial production,and the demand for monitoring and maintenance of such equipments increases dramatically.To alleviate such concern,an intelligent operation and maintenance system of AGV or mobile robot based on 5G and Industrial Internet of things is proposed,including the construction of 5G network,the construction of intelligent operation and maintenance platform,the building of operation and maintenance business application,as well as the training and optimization methods of fault model based on transfer learning and federated learning.Finally,the system has been deployed in the practical production environment of the enterprise,and the effectiveness of the proposed design has been verified by real data,which is collected,pre-processed,trained from the real operation environment.
作者
夏鹏程
崔继轩
马川
李骏
XIA Pengcheng;CUI Jixuan;MA Chuan;LI Jun(School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210014,China)
出处
《信息通信技术与政策》
2022年第10期28-36,共9页
Information and Communications Technology and Policy
基金
2020年工业互联网创新发展工程——面向典型行业的工业互联网“5G+边缘计算”服务平台项目(No.TC200A00Y)。
关键词
自动引导运输车
移动机器人
智能运维系统
工业互联网
automatic guided vehicle
mobile robot
intelligent operation and maintenance system
Industrial Internet of things
