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作 者:丁凯 陈东燊[2] 王岩 朱学凯 张富强[1] 张超 DING Kai;CHAN Tungsun;WANG Yan;ZHU Xuekai;ZHANG Fuqiang;ZHANG Chao(School of Construction Machinery, Chang'an University, Xi'an 710064, China;Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China;School of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an 710049, China;The 723 Institute of CSIC, Yangzhou 225001, China;School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China)
机构地区:[1]长安大学工程机械学院,陕西西安710064 [2]香港理工大学工业与系统工程系,香港九龙999077 [3]西安科技大学机械工程学院,陕西西安710049 [4]中国船舶重工集团公司第七二三研究所,江苏扬州225001 [5]西安交通大学机械工程学院,陕西西安710049
出 处:《计算机集成制造系统》2019年第12期3127-3138,共12页Computer Integrated Manufacturing Systems
基 金:国家自然科学基金资助项目(51705030,51605041);陕西省自然科学基金资助项目(2019JQ-140,2019JQ-101);“香江学者”计划资助项目(XJ2018016);中央高校基本科研业务费资助项目(300102258301,300102259201)~~
摘 要:针对智能工厂底层大量物联设备产生的海量制造数据在云端处理分析和边缘端实时计算两个层面的需求,提出一种基于云—边协同的智能工厂工业物联网架构以及边缘节点、云端应用服务的配置方法。在该架构下,时间不敏感型与时间敏感型制造数据处理任务分别由工厂云服务器、工业物联网边缘节点完成。考虑智能工厂内人、机、物等生产主体均具有智能,进一步从生产计划、执行、监控、优化的逻辑视角,阐述了基于“人—机—物”共融的智能工厂自治生产管控关键技术。通过案例研究得出,所提出的智能工厂工业物联网架构可在云端与边缘端两个层面进行制造数据处理分析,并实现智能工厂实时生产状态监控与自治生产过程响应控制,为实现制造工厂智能化、自治化生产提供技术支撑。Focusing on the requirements of cloud-level mining and edge-level computing of real-time manufacturing big data generated from Industrial Internet of Things(IIoT)devices in smart factories,an IIoT architecture for smart factories based on cloud-edge interplay was proposed,together with the edge nodes configuration method and the cloud application services configuration method.Under this architecture,time-insensitive and time-sensitive manufacturing data computing tasks were executed by cloud server and IoT edge nodes respectively.Considering human workers,machine tools,physical objects,and other manufacturing resources in a smart factory were endowed with different levels of intelligence,the key technologies to realize the human-machine-product-symbiosis-based autonomous production control were researched from the perspectives of production planning,execution,monitoring,and optimization.From a case study,it was concluded that cloud-edge interplay-based IIoT architecture and autonomous production control technologies could not only make manufacturing data processing and analysis from both cloud-level and edge-level,but also achieve the real-time production status monitoring and autonomous production control of smart factories,which provided a basis for realizing smart and autonomous production in factories.
关 键 词:智能工厂 工业物联网 云—边协同 人—机—物共融 自治生产管控
分 类 号:TH166[机械工程—机械制造及自动化]
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