A navigation framework for digital twins of factories based on building information modeling
| Autor: | Daniel Losch, Lisa Theresa Lenz, Tim Delbrugger, Jürgen Roßmann |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science 020208 electrical & electronic engineering 020207 software engineering 02 engineering and technology Variety (cybernetics) Metadata Building information modeling Information model Human–computer interaction Component (UML) 0202 electrical engineering electronic engineering information engineering Factory (object-oriented programming) Robot business |
| Zdroj: | ETFA |
| DOI: | 10.1109/etfa.2017.8247712 |
| Popis: | Digital Twins are a central component in the concept of a modern, Industry 4.0-ready virtual factory. In order to optimize movement paths that emerge during the simulated operation of such a virtual factory, a Digital Twin of a factory has to include a navigation framework that supports movements for humans, as well as autonomous robots. One possible foundation for such a framework are Building Information Models that include details about the buildings' 3D geometry and semantic annotations. In this publication, we propose a framework that allows for effortless inclusion of Building Information Models and factory equipment as well as a plugin system for a variety of spatial representations (e.g. regular grids or navigation meshes). |
| Databáze: | OpenAIRE |
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