在基于云的数据收集框架中配置和可视化数据资源

Wael M. Mohammed, Borja Ramis, J. Lastra
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引用次数: 6

摘要

制造企业解决方案协会(MESA)提供了制造执行系统(MES)的抽象和通用定义。为数据收集活动保留了一个专用功能。在这个问题上,云协同制造网络(C2NET)项目倾向于提供一个基于云的平台,用于托管协作网络中供应链的交互。在C2NET项目的体系结构中,设计了一个数据收集框架(DCF)来实现数据收集的功能。这允许公司提供他们的数据,这些数据可以是企业和物联网(IoT)设备类型的数据,以供平台进一步使用。数据的收集是由特定的第三方应用程序实现的,即遗留系统中心(Legacy System Hub, LSH)。本研究提出了在C2NET平台上配置和可视化数据资源的方法。这种方法使用基于web的应用程序和LSH的帮助。这使得C2NET平台能够适应任何类型的第三方应用程序,这些应用程序可以按照这种方法的通用和灵活的解决方案来操作企业数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Configuring and visualizing the data resources in a cloud-based data collection framework
The Manufacturing Enterprise Solutions Association (MESA) provided the abstract and general definition of the Manufacturing Execution Systems (MES). A dedicated function has been reserved for the data collection activities. In this matter, the Cloud Collaborative Manufacturing Networks (C2NET) project tends to provide a cloud based platform for hosting the interactions of the supply chain in a collaborative network. Within the architecture of the C2NET project, a Data Collection Framework (DCF) is designed to fulfill the function of data collection. This allows the companies to provide their data, which can be both enterprise and Internet of Things (IoT) devices type of data to the platform for further use. The collection of the data is achieved by a specific third party application, i.e., the Legacy System Hub (LSH). This research work presents the approach of configuring and visualizing the data resources in the C2NET platform. This approach employs the web-based applications and the help of the LSH. This permits the C2NET platform to adapt to any kind of third party application, which manipulates enterprise data, following the generic and flexible solution of this approach.
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