Title
Roadmap to semi-automatic generation of digital twins for brownfield process plants
Abstract
Industrial process plants have a lifecycle of several decades, and only some of the most modern plants have digital, machine-readable design information available. For all other plants, the information is often available in PDF and other human-readable formats. Based on this information, a digital twin could be constructed only with considerable human effort. There is a need for a methodology for the semi-automatic generation of digital twins for brownfields with such source information. The objective of this paper is to propose a roadmap towards a methodology for the semi-automatic generation of digital twins for brownfields with such source information as can be expected to be available for brownfields. The purpose of the roadmap is to: conceptualize the methodology, position relevant previous work along this methodology and identify further research challenges to develop the industrial applicability of the methodology. It was discovered that numerous relevant works exist, some of which do not specifically address brownfields. However, there is a lack of research to integrate such research to a methodology for the generation of digital twins.
Year
DOI
Venue
2022
10.1016/j.jii.2021.100282
Journal of Industrial Information Integration
Keywords
DocType
Volume
Digitization,Industry4.0,Digital twin,Brownfield process plants,Automatic model generation,Simulation model
Journal
27
ISSN
Citations 
PageRank 
2452-414X
0
0.34
References 
Authors
21
7
Name
Order
Citations
PageRank
Seppo Sierla100.34
Mohammad Azangoo200.34
Kari Rainio300.34
Nikolaos Papakonstantinou400.34
Alexander Fay544.14
Petri Honkamaa600.34
Valeriy Vyatkin71047152.80