@article{01HGX8EJADAQ3K9TVWDTDR92ZA,
  abstract     = {{To achieve interoperability between different 3D virtual commissioning software, a generic virtual commissioning data model is required. AutomationML is a standard neutral format for interoperability in the engineering phase. However, the current AutomationML standard is not sufficient for full-scope 3D-based virtual commissioning data exchange, as attributes and modeling method of 3D virtual commissioning-related sensors, actuators and signal connections are not standardized in AutomationML. To fill this gap, the authors suggest extending AutomationML for interoperability in 3D virtual commissioning. In this paper, a case-driven iterative approach is introduced to evolve towards an AutomationML extension. This extension is gradually developed by taking the union of all virtual commissioning-related functions and attributes of 3D virtual commissioning software. During the iteration, naming rules are applied when a new attribute is added to the extension. With this approach, an initial AutomationML extension is created by implementing a first iteration. The interoperability performance of this extension is subsequently evaluated by conducting data exchange of a representative set of 3D emulation models between two 3D virtual commissioning software, namely Siemens NX and Visual Components, via self-developed “Import” and “Export” plug-ins. It shows that AutomationML extension-based data exchange converts 70% more attributes than that only based on AutomationML.}},
  author       = {{Zhao, Jiaqi and Aghezzaf, El-Houssaine and Cottyn, Johannes}},
  issn         = {{0951-192X}},
  journal      = {{INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING}},
  keywords     = {{Virtual commissioning,AutomationML,Generic data model,Data exchange,Interoperability,Case-driven iterative approach}},
  language     = {{eng}},
  number       = {{10-11}},
  pages        = {{1194--1213}},
  title        = {{An AutomationML extension towards interoperability of 3D virtual commissioning software applications}},
  url          = {{http://doi.org/10.1080/0951192X.2023.2294443}},
  volume       = {{37}},
  year         = {{2024}},
}

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