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首页> 外文会议>2016 1st International Workshop on Cyber-Physical Production Systems >Supporting the engineering of cyber-physical production systems with the AutomationML analyzer
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Supporting the engineering of cyber-physical production systems with the AutomationML analyzer

机译：使用AutomationML分析仪支持网络物理生产系统的工程设计

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The engineering phase of Cyber-Physical Production Systems (CPPS) is a multi-disciplinary process in which representatives of diverse engineering disciplines collaborate to deliver a complex CPPS. To ensure optimal project management as well as to avoid risks of inconsistencies between engineering models created by engineers from different disciplines, support is needed for integrating and subsequently analyzing diverse engineering data. AutomationML is an emerging data exchange format for engineering data which makes the first step towards the easier exchange of engineering data. Yet, there is a lack of tool support for integrating, making sense of and analyzing AML files. In this paper, we explore the use of Semantic Web and Linked Data technologies to provide extended functionality on top of AML that allows advanced data analytics on engineering data such as intuitive browsing of interlinked engineering models and queries for project-wide verification and validation activities. As a result of these investigations, we present the AutomationML Analyzer prototypical implementation to showcase some of the functionalities made possible by Semantic Web and Linked Data technologies in this context.
机译：网络物理生产系统（CPPS）的工程阶段是一个多学科的过程，其中各个工程学科的代表共同协作以交付复杂的CPPS。为了确保最佳的项目管理以及避免由来自不同学科的工程师创建的工程模型之间存在不一致的风险，需要集成和随后分析各种工程数据的支持。 AutomationML是一种新兴的工程数据交换格式，它是朝着更轻松交换工程数据迈出的第一步。但是，缺少用于集成，理解和分析AML文件的工具支持。在本文中，我们探索了语义网和链接数据技术的使用，以在AML之上提供扩展功能，该功能允许对工程数据进行高级数据分析，例如直观浏览互连的工程模型以及对项目范围内的验证和确认活动进行查询。作为这些研究的结果，我们提出了AutomationML Analyzer的原型实现，以展示在这种情况下语义Web和链接数据技术实现的一些功能。

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