期刊
APPLIED SCIENCES-BASEL
卷 11, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/app11104620
关键词
digital twin; human robot collaboration; reconfiguration
类别
资金
- European Union's Horizon 2020 research and innovation programme [723616, 825196]
- H2020 Societal Challenges Programme [723616, 825196] Funding Source: H2020 Societal Challenges Programme
This paper discusses a digital twin-based approach for designing and redesigning flexible assembly systems, which dynamically updates the digital twin model and combines with artificial intelligence logic to derive alternative configurations of the production system. The application of this approach in the automotive industry is illustrated through a case study.
This paper discusses a digital twin-based approach for designing and redesigning flexible assembly systems. The digital twin allows modeling the parameters of the production system at different levels including assembly process, production station, and line level. The approach allows dynamically updating the digital twin in runtime, synthesizing data from multiple 2D-3D sensors in order to have up-to-date information about the actual production process. The model integrates both geometrical information and semantics. The model is used in combination with an artificial intelligence logic in order to derive alternative configurations of the production system. The overall approach is discussed with the help of a case study coming from the automotive industry. The case study introduces a production system integrating humans and autonomous mobile dual arm workers.
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