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This contribution presents the basic architecture of the neutral data format AutomationML developed by the companies Daimler, ABB, Siemens, Rockwell, Kuka, Zuhlke, netAllied and the universities of Magdeburg and Karlsruhe. AutomationML serves for the data exchange between manufacturing engineering tools and therefore supports the interoperability between(More)
This contribution investigates the topic ldquovirtual commissioningrdquo from an industrial point of view and proposes an evolutionary and realistic technical concept for the introduction of virtual commissioning environments. Main points of this paper are the identification and formulation of industrial requirements for the introduction of a virtual(More)
  • Rainer Drath
  • 2012
Data exchange between engineering tools has been identified as a major bottleneck in the engineering workflow. AutomationML aims to close this gap by supporting the exchange of a variety of aspects of automation engineering and its ability to manage multiple semantics in a heterogeneous engineering tool landscape. But beside all AutomationML-concepts, the(More)
Standardization of data models in automation industry is a tedious, time-consuming and multidisciplinary process. The absence of a successfully standardized and established data exchange methodology for PCE (Process Control Equipment) Requests as the most informative capsule of data is an unsolved gap between process and control engineering tools. This(More)
AutomationML (Automation Markup Language) is an XML based data format for the exchange of plant engineering information. Its mission is to interconnect engineering tools of different disciplines, e.g. process, mechanical or control engineering. AutomationML enables the vendor independent storage of interlinked engineering data that is usually distributed(More)
Interoperability describes the ability of engineering tools to collaborate across tool borders, organizational borders, and workflow phases. Therefore, it is considered as an important indicator for engineering efficiency, but is supported by today's industrial software only to some extent. The authors propose a novel method for the assessment of automation(More)