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基于云边协同的智能制造系统中的实时数据处理与分析研究

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旨在探讨基于云边协同的智能制造系统中的实时数据处理与分析的方法与应用.随着制造业的数字化转型,实时数据处理与分析对提高生产效率和质量至关重要.作为一种新兴的计算范式,云边协同允许将数据处理任务分布到边缘设备,以满足实时性要求.提出了一种基于云边协同的框架,通过实验验证了其有效性.结果表明,所提出的框架能显著提高数据处理效率,满足实时性需求,为智能制造系统的数字化转型提供了有力支持.
Real-Time Data Processing and Analysis Research in Intelligent Manufacturing Systems Based on Cloud Edge Collaboration
Aiming to explore the methods and applications of real-time data processing and analysis in intelligent manufacturing systems based on cloud edge collaboration.With the digital transformation of manufacturing,real-time data processing and analysis are crucial for improving production efficiency and quality.As an emerging computing paradigm,cloud edge collaboration allows for the distribution of data processing tasks to edge devices to meet real-time requirements.A framework based on cloud edge collaboration was proposed and its effectiveness was verified through experiments.The results indicate that the proposed framework can significantly improve data processing efficiency,meet real-time requirements,and provide strong support for the digital transformation of intelligent manufacturing systems.

cloud edge collaborationintelligent manufacturing systemsreal-time data processingdata analysisdigital transformation

刘亚楠、王胜辉

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许昌职业技术学院,河南许昌 461000

云边协同 智能制造系统 实时数据处理 数据分析 数字化转型

许昌市科技攻关计划

20230211004

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(7)
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