An AutomationML extension towards interoperability of 3D virtual commissioning software applications.
Saved in:
| Title: | An AutomationML extension towards interoperability of 3D virtual commissioning software applications. |
|---|---|
| Authors: | Zhao, Jiaqi1,2 (AUTHOR) Jiaqi.Zhao@UGent.be, Aghezzaf, El-Houssaine1,2 (AUTHOR), Cottyn, Johannes1,2 (AUTHOR) |
| Source: | International Journal of Computer Integrated Manufacturing. Oct/Nov2024, Vol. 37 Issue 10/11, p1194-1213. 20p. |
| Subjects: | Application software, Plug-ins (Computer programs), Data modeling, Actuators, Computer software |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Computer Integrated Manufacturing is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| 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. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 0951192X |
| DOI: | 10.1080/0951192X.2023.2294443 |
