2021
DOI: 10.3233/atde210087
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Automated Generation of a Digital Twin of a Process Plant by Using 3D Scan and Artificial Intelligence

Abstract: The simulation of production processes using a Digital Twin is a promising tool for predictive planning, analysis of existing systems or process-parallel monitoring. In the process industry, the concept of Digital Twin provides significant support for process optimization. The generation of the Digital Twin of an already existing plant is a major challenge – in particular for small and medium-sized enterprises. In this sense, the twinning of the existing physical environment has got a particular importance due… Show more

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Cited by 12 publications
(3 citation statements)
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References 16 publications
(18 reference statements)
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“…A fast, precise and robust object recognition in a brownfield environment is a prerequisite for digital twin and thus subject of continuous research. The affordability of object reconstruction with semantic enrichment must be justified primarily in the cost-benefit ratio compared to manual remastering [5]. If object recognition is successful, as is the case here in an application from the biochemical industry, the reasoning is obvious.…”
Section: Discussionmentioning
confidence: 99%
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“…A fast, precise and robust object recognition in a brownfield environment is a prerequisite for digital twin and thus subject of continuous research. The affordability of object reconstruction with semantic enrichment must be justified primarily in the cost-benefit ratio compared to manual remastering [5]. If object recognition is successful, as is the case here in an application from the biochemical industry, the reasoning is obvious.…”
Section: Discussionmentioning
confidence: 99%
“…In a previous work, the approach of generation of the digital twin of a brownfield process plant based on automatic object recognition by machine learning was presented [5]. The next step in the evolution of digital twin provides the possibility of a continuous update of a digital twin under aforementioned changing operating conditions, wellharmonized with the updated P&ID [6].…”
Section: Introductionmentioning
confidence: 99%
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