Rainer Drath

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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)
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)
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)
Interoperability of engineering tools describes their ability to collaborate with each other across their tool borders, company locations and workflow phases. Therefore it is considered as an important indicator for engineering efficiency but it is rarely supported by today’s heterogeneous industrial software. This paper motivates the need of(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)
  • Rainer Drath
  • Proceedings of 2012 IEEE 17th International…
  • 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)
1 Faculty of Science, Yamaguchi University, 1677-1 Yoshida, Yamaguchi 753-8512, Japan 2 Department of Automatic Control and Systems Engineering, Technical University of Ilmenau, 98684 Ilmenau, Germany 3 Department of Information Science, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan 4 Human Genome Center, Institute of Medical Science,(More)