Roadmap to semi-automatic generation of digital twins for brownfield process plants

被引:34
作者
Sierla, Seppo [1 ]
Azangoo, Mohammad [1 ]
Rainio, Kari [2 ]
Papakonstantinou, Nikolaos [2 ]
Fay, Alexander [3 ]
Honkamaa, Petri [2 ]
Vyatkin, Valeriy [1 ,4 ]
机构
[1] Aalto Univ, POB 15500, FI-00076 Aalto, Finland
[2] VTT Tech Res Ctr Finland Ltd, POB 1000, FI-02044 Espoo, Finland
[3] Helmut Schmidt Univ, Holstenhofweg 85, D-22043 Hamburg, Germany
[4] Lulea Univ Technol, Lab Vagen 14, SE-97187 Lulea, Sweden
关键词
Digitization; Industry4.0; Digital twin; Brownfield process plants; Automatic model generation; Simulation model; CONVOLUTIONAL NEURAL-NETWORK; CYBER-PHYSICAL SYSTEMS; INDUSTRY; 4.0; AUTOMATIC-GENERATION; 3D RECONSTRUCTION; SIMULATION-MODELS; CLASSIFICATION; CONNECTIVITY; RECOGNITION; RESOURCES;
D O I
10.1016/j.jii.2021.100282
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页数:10
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