摘要
针对智能车间制造物联产生的物流状态数据低延时传输与高效率响应的计算服务需求,提出一种RFID物料主动感知的车间AGV云-边协同计算框架模型。讨论AGV状态数据采集与信息交互、边缘侧RFID数据处理、云-边协同计算等关键技术。案例研究表明:生产物流过程数据可在计算模型的AGV边缘端和云端两个层面进行协同处理,实现主动感知与自主决策,为车间的自治化、智能化提供支持。
Aiming at the computing demand of low delay transmission and efficient processing of logistics status data generated by smart sensors,a framework model of AGV cloud-edge collaborative computing based on RFID-awared materials was proposed.The key technologies of AGV data acquisition and information interaction,RFID data processing,cloud-edge collaborative computing were discussed.The case study shows that the production logistics process data can be processed cooperatively at the AGV edge and cloud levels of the computing model,so as to realize active perception and independent decision-making,and to provide support for the autonomy and intelligence of the workshop.
作者
温博强
张富强
邵树军
杜超
WEN Boqiang;ZHANG Fuqiang;SHAO Shujun;DU Chao(Key Laboratory of Road Construction Technology and Equipment of MOE,Chang'an University,Xi'an Shaanxi 710064,China;Institute of Smart Manufacturing Systems,Chang'an University,Xi'an Shaanxi 710064,China;Shaanxi Fast Gear Co.,Ltd.,Xi'an Shaanxi 710119,China)
出处
《机床与液压》
北大核心
2022年第16期46-51,共6页
Machine Tool & Hydraulics
基金
陕西省科技重大专项(2018zdzx01-01-01)
陕西省自然科学基金(2021JM-173)
中央高校基金项目(300102250201)。
关键词
RFID
AGV
主动感知
云-边协同计算框架
Radio frequency identification(RFID)
Automated guided vehicle(AGV)
Active perception
Edge-cloud collaborative computing framework
