Abstract
The DigiBuzz-VTT project, a part of the DigiBuzz common effort, focused on the applications of digital twins in manufacturing industry ecosystems. The DigiBuzz-VTT project had two main focuses, 1) functional digital twins, or simulation-based digital twins, of machines and machine systems and their applications, and 2) the life cycle management of digital twins (the digital part of the twin), emphasising data modelling and data management. These themes were studied from the technical and from the business point of views. The detailed research topics were:
• Business opportunities and added value of digital twins for manufacturing industry
• Data-based digital twins, use of machine learning for feature recognition
• The status of standardisation for the lifecycle data management of digital twins, means for preserving model data
• Hybrid modelling with digital twins, combination of experimental and simulation data
• The optimisation of the measurement points location, method development
• The use of Kalman filters in estimating simulation data correlation with measured data
• The status of Industrial Internet of Things (IIoT) for digital twins
This report summarises the implementation of the DigiBuzz-VTT project and lists the main deliverables of the project. The project produced several scientific articles and research reports, which report the research results in detail.
• Business opportunities and added value of digital twins for manufacturing industry
• Data-based digital twins, use of machine learning for feature recognition
• The status of standardisation for the lifecycle data management of digital twins, means for preserving model data
• Hybrid modelling with digital twins, combination of experimental and simulation data
• The optimisation of the measurement points location, method development
• The use of Kalman filters in estimating simulation data correlation with measured data
• The status of Industrial Internet of Things (IIoT) for digital twins
This report summarises the implementation of the DigiBuzz-VTT project and lists the main deliverables of the project. The project produced several scientific articles and research reports, which report the research results in detail.
Original language | English |
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Publisher | VTT Technical Research Centre of Finland |
Commissioning body | Business Finland |
Number of pages | 21 |
Publication status | Published - 31 Jan 2022 |
MoE publication type | D4 Published development or research report or study |
Publication series
Series | VTT Tutkimusraportti |
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Number | VTT-R-00118-22 |
Keywords
- added business value
- business model
- data management
- digital twin
- feature recognition
- hybrid modelling
- machine learning
- modelling
- lifecycle,
- simulation