The Cloud Storage Model for Manufacturing System in Global Factory Automation

Hwa-Young Jeong, J. Park, Jae Dong Lee
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引用次数: 10

Abstract

There are many manufacturing systems in the factory. Furthermore the system engineer or user have to control and manage lots of data for the manufacturing system. There is, therefore, a need for an efficient management method or technique to handle the systems in their factory. The system managers who work in the main office or at a e location far from the factory also need to check the production rate and data of the manufacturing system in the factory. All of them need to manage the system data. Recently, cloud computing was introduced and thus allows a significant alternative to today's manufacturing system perspective. Therefore, this research aims to present a model to manage and share the data for the manufacturing system via the internet. For this purpose, the cloud storage for the manufacturing system in global factory automation was used. The proposed cloud storage model consists of four types of databases and one management server. The model interfaces the data exchange process between the manufacturing systems and each database. Through this model, the system manager, engineer, and user are all able to check and share the manufacturing system's data efficiently via the internet.
全球工厂自动化中制造系统的云存储模型
这家工厂有许多生产系统。此外,系统工程师或用户必须控制和管理制造系统的大量数据。因此,需要一种有效的管理方法或技术来处理他们工厂的系统。在总部或远离工厂的地方工作的系统经理也需要检查工厂内制造系统的生产率和数据。它们都需要管理系统数据。最近,云计算被引入,从而为今天的制造系统提供了一个重要的替代方案。因此,本研究旨在提出一种基于互联网的制造系统数据管理与共享模型。为此,采用了全球工厂自动化制造系统的云存储。提出的云存储模型由四种类型的数据库和一个管理服务器组成。该模型将制造系统与每个数据库之间的数据交换过程连接起来。通过该模型,系统管理员、工程师和用户都可以通过internet高效地查看和共享制造系统的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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