Automated generation of digital twin for a built environment using scan and object detection as input for production planning

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Markus Sommer
  • Josip Stjepandić
  • Sebastian Stobrawa
  • Moritz von Soden

External Research Organisations

  • PROSTEP AG
  • Bornemann Gewindetechnik GmbH & Co. KG
  • isb innovative software businesses GmbH
View graph of relations

Details

Original languageEnglish
Article number100462
JournalJournal of Industrial Information Integration
Volume33
Early online date3 Apr 2023
Publication statusPublished - Jun 2023

Abstract

The simulation of production processes using a digital twin can be utilized for prospective planning, analysis of existing systems or process-parallel monitoring. In all cases, the digital twin offers manufacturing companies room for improvement in production and logistics processes leading to cost savings. However, many companies, especially small and medium-sized enterprises, do not apply the technology, because the generation of a digital twin in a built environment is cost-, time- and resource-intensive and IT expertise is required. These obstacles will be overcome by generating a digital twin using a scan of the shop floor and subsequent object recognition. This paper describes the approach with multiple steps, parameters, and data which must be acquired in order to generate a digital twin automatically. It is also shown how the data is processed to generate the digital twin and how object recognition is integrated into it. An overview of the entire process chain is given as well as results in an application case.

Keywords

    Artificial intelligence, Digital factory, Digital twin, Indoor object acquisition, Object recognition, Simulation

ASJC Scopus subject areas

Cite this

Automated generation of digital twin for a built environment using scan and object detection as input for production planning. / Sommer, Markus; Stjepandić, Josip; Stobrawa, Sebastian et al.
In: Journal of Industrial Information Integration, Vol. 33, 100462, 06.2023.

Research output: Contribution to journalArticleResearchpeer review

Sommer, M, Stjepandić, J, Stobrawa, S & Soden, MV 2023, 'Automated generation of digital twin for a built environment using scan and object detection as input for production planning', Journal of Industrial Information Integration, vol. 33, 100462. https://doi.org/10.1016/j.jii.2023.100462
Sommer, M., Stjepandić, J., Stobrawa, S., & Soden, M. V. (2023). Automated generation of digital twin for a built environment using scan and object detection as input for production planning. Journal of Industrial Information Integration, 33, Article 100462. https://doi.org/10.1016/j.jii.2023.100462
Sommer M, Stjepandić J, Stobrawa S, Soden MV. Automated generation of digital twin for a built environment using scan and object detection as input for production planning. Journal of Industrial Information Integration. 2023 Jun;33:100462. Epub 2023 Apr 3. doi: 10.1016/j.jii.2023.100462
Sommer, Markus ; Stjepandić, Josip ; Stobrawa, Sebastian et al. / Automated generation of digital twin for a built environment using scan and object detection as input for production planning. In: Journal of Industrial Information Integration. 2023 ; Vol. 33.
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