边缘计算在制造业数据采集与处理中的应用
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引用本文:徐盼望,杜万和,杨敬辉,韩玲玲,张笑.边缘计算在制造业数据采集与处理中的应用[J].上海第二工业大学(英文版),2021,(3):223-230
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Author NameAffiliation
XU Pan-wang 1a. School of Resource and Environmental Engineering
 
DU Wan-he 1b. School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China
 
YANG Jing-hui 1b. School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China
 
HAN Ling-ling 1a. School of Resource and Environmental Engineering
 
ZHANG Xiao 2. School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China 
中文摘要:边缘计算靠近设备现场提供分布式计算、存储、应用等服务, 在制造业数据采集和处理方面相较以云计算 为中心的模式, 其具有更高的实时性等优点, 因此研究边缘计算在制造业的应用有着较高的实际价值。介绍了边缘 计算的架构模式和在制造业中的应用趋势, 对国内外应用于制造业数据采集与处理中的边缘计算软件服务框架进 行对比研究, 总结了在边缘层获取采集数据、边缘节点管控与集群、智能数据处理和应用实施等方面, 当前面临的 问题和技术解决方案, 以利于边缘计算在制造业应用中的落地和发展。
中文关键词:边缘计算  制造业  数据采集  数据处理
 
Research on the Application of Edge Computing in Manufacturing Data Collection and Processing
Abstract:Edge computing provides services such as distributed computing, storage, and applications at the device layer, which has the advantages of higher real-time data collection and processing in the manufacturing industry compared to the cloud computing-centric model. Therefore, it has high practical value to study the application of edge computing in the manufacturing industry. The article introduces the architecture model of edge computing and its application trends in manufacturing, compares the service frameworks of edge computing software used in manufacturing data collection and processing domestic and foreign, and summarizes the current problems and technical solutions facing the acquisition of collected data at the edge layer, edge node management and clustering, intelligent data processing and application implementation, in order to facilitate the application and development of edge computing in the manufacturing industry.
keywords:edge computing  manufacturing  data collection  data processing
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