Automatic Generation of a Simulation-based Digital Twin of an Industrial Process Plant

Loading...
Thumbnail Image
Access rights
openAccess
Journal Title
Journal ISSN
Volume Title
Conference article in proceedings
This publication is imported from Aalto University research portal.
View publication in the Research portal
View/Open full text file from the Research portal
Date
2018
Major/Subject
Mcode
Degree programme
Language
en
Pages
3084-3089
Series
Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, Proceedings of the Annual Conference of the IEEE Industrial Electronics Society
Abstract
A Digital Twin (DT) of a production plant is a digital replica of the plant’s physical assets which contains the structure and the dynamics of how the devices and process operate. Simulation-based DTs (SBDTs) are those based on online first principle simulation models. In these systems, model parameter estimation techniques keep an online plant simulator in the same state as the targeted device or process. As a result, non-measured information of the current state of the plant can be obtained from the model. SBDTs can be used for a number of important applications and they have various advantages compared to DTs based on data-driven models. However, wider industrial adoption of SBDTs is hindered by laborious development of their underlying first principle simulation model as well as by a lack of integrated lifecycle-wide implementation methods and simulation architectures. This paper focuses on applying previously presented methods for reducing implementation effort of SBDTs. Firstly, laborious simulation model development is tackled by applying an automatic model generation method. Secondly, an integrated implementation methodology of a lifecycle-wide online simulation architecture is followed for developing the SBDT. The results show a higher level of fidelity compares to previous publications. A SBDT of a laboratory-scale process is implemented to demonstrate the proposed method.
Description
Keywords
ditigal twin, dynamic process simulation, first principles model, simulation-based digital twin
Other note
Citation
Santillán Martínez, G, Sierla, S, Karhela, T & Vyatkin, V 2018, Automatic Generation of a Simulation-based Digital Twin of an Industrial Process Plant . in Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 . Proceedings of the Annual Conference of the IEEE Industrial Electronics Society, IEEE, pp. 3084-3089, Annual Conference of the IEEE Industrial Electronics Society, Washington, District of Columbia, United States, 21/10/2018 . https://doi.org/10.1109/IECON.2018.8591464