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Server-Edge dualized closed-loop data analytics system for cyber-physical system application

机译:用于网络物理系统应用的服务器边缘两化闭环数据分析系统

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摘要

In this research, we propose a system architecture of the server-edge dualized closed-loop data analytics system for cyber-physical system (CPS) application. We define six essential components for the data analytics system for CPS application: (1) the cyber model, (2) the data analytics module, (3) the data analysis model execution module, (4) the decision making module, (5) the system control module, and (6) the visualization module. We then propose an architecture of dualized closed-loop data analytics with server and edge-computing devices. The proposed dualized architecture of the data analytics system has advantages in handling the three issues of applying data analytics systems to the manufacturing context: (1) the system overload issue of the data analytics module due to large volumes of data, (2) the automation issue in the sequences of data analysis model generation, data analysis module execution, and system control, and (3) the real-time issue of data analysis model execution. In particular, a PMML-based data analysis model information parsing structure is proposed to deal with the automation issue. A case study that applies the proposed server-edge dualized closed-loop data analytics system for CPS application to the die-casting factory in Korea is introduced.
机译:在本研究中,我们提出了一个用于网络 - 物理系统(CPS)应用的服务器边缘两化闭环数据分析系统的系统架构。我们为CPS应用程序定义了六个基本组件,用于CPS应用程序:(1)网络模型,(2)数据分析模块,(3)数据分析模型执行模块,(4)决策模块(5)系统控制模块,和(6)可视化模块。然后,我们提出了一种与服务器和边缘计算设备的两种闭环数据分析的体系结构。数据分析系统的建议的两化架构在处理将数据分析系统应用于制造上下文的三个问题方面具有优势:(1)由于大量数据量,数据分析模块的系统过载问题,(2)自动化在数据分析模型生成,数据分析模块执行和系统控制序列中发出问题,以及(3)数据分析模型执行的实时问题。特别地,提出了基于PMML的数据分析模型信息解析结构来处理自动化问题。介绍了将拟议的服务器边缘两化闭环数据分析系统应用于韩国压铸厂的CPS应用。

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