TY - JOUR
T1 - Roadmap to semi-automatic generation of digital twins for brownfield process plants
AU - Sierla, Seppo
AU - Azangoo, Mohammad
AU - Rainio, Kari
AU - Papakonstantinou, Nikolaos
AU - Fay, Alexander
AU - Honkamaa, Petri
AU - Vyatkin, Valeriy
N1 - Funding Information:
This work was partially supported by the Business Finland project SEED (4153/31/2019). Business Finland was not involved in the research beyond financial support. Otherwise this research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
PY - 2022/5
Y1 - 2022/5
N2 - 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.
AB - 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.
KW - Automatic model generation
KW - Brownfield process plants
KW - Digital twin
KW - Digitization
KW - Industry4.0
KW - Simulation model
UR - http://www.scopus.com/inward/record.url?scp=85120701312&partnerID=8YFLogxK
U2 - 10.1016/j.jii.2021.100282
DO - 10.1016/j.jii.2021.100282
M3 - Article
AN - SCOPUS:85120701312
SN - 2467-964X
VL - 27
JO - Journal of Industrial Information Integration
JF - Journal of Industrial Information Integration
M1 - 100282
ER -