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An agile information processing framework for high pressure die casting applications in modern manufacturing systems

机译:现代制造系统中高压压铸应用的敏捷信息处理框架

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Modern production of high pressure die casting parts raise new challenges regarding planning, scheduling and analyzing of the underlying manufacturing process. The smart factory approach and the research and development pursuit of the fourth industrial revolution necessitate the refurbishment and upgrade of already existing manufacturing systems and the introduction of new information and communication technologies (ICT) in automation systems in order to achieve a holistic, company-wide information exchange and a pervasive traceability of product and manufacturing data. According to this approach, previous programmable logical controls (PLC), established business intelligence solutions and existing manufacturing execution systems (MES) with mutually lacking interfaces are integrated into a new ecosystem for planning, executing and analysis applications. Due to the fact that each system persists on its own user interface, the implementation has to be strongly coupled to a user centered design of innovative human machine interfaces, joined into one distributed, networked application. In this paper, an agile information processing framework for foundry purposes is presented. Every underlying application is accessible via web-based user interfaces providing control of each single system. This leads into a service orientated architecture triggering the individual underlying systems as services, which are connected using web communication technology to exchange data along a shared information model. The data storage is modular to ensure scalability and interoperability with other manufacturing departments. During the actual manufacturing process, different services like inline data mining analysis are deployed and the results are visualized in user demanded dashboards and reports. For new requirements in business intelligence and MES the developed interfaces are provided in a unique library and a content management system. The described architecture enhances the development of new information applications, accelerates the planning and execution process and is completely orientated to the demands of users, as fast planning procedures and analysis driven user interfaces.
机译:现代生产高压压铸件对潜在制造过程的规划,调度和分析提出了新的挑战。智能工厂方法和研究和开发追求第四个工业革命需要翻新和升级已经现有的制造系统以及在自动化系统中引入新的信息和通信技术(ICT),以实现整体,公司范围信息交换和产品和制造数据的普遍可追溯性。根据这种方法,以前的可编程逻辑控制(PLC),建立的商业智能解决方案和现有的制造执行系统(MES)与互相缺失接口集成到一个新的生态系统中,用于规划,执行和分析应用程序。由于每个系统仍然存在于自己的用户界面的事实,实现必须强烈地耦合到用户居中设计的创新人机接口,加入了一个分布式的网络应用程序。本文介绍了铸造目的的敏捷信息处理框架。每个基础应用程序都可以通过基于Web的用户界面提供提供每个单个系统的控制。这导致服务导向架构触发各个底层系统作为服务,这些系统通过Web通信技术连接到沿着共享信息模型交换数据。数据存储是模块化,以确保与其他制造部门的可扩展性和互操作性。在实际制造过程中,部署了内联数据挖掘分析等不同的服务,并且在用户要求仪表板和报告中可视化结果。对于商业智能和MES中的新要求,在唯一的库和内容管理系统中提供开发的接口。所描述的体系结构增强了新信息应用程序的开发,加速了规划和执行过程,并完全导致用户的需求,作为快速规划过程和分析驱动的用户界面。

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