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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Standard

Automatic Generation of a Simulation-based Digital Twin of an Industrial Process Plant. / Santillán Martínez, Gerardo; Sierla, Seppo; Karhela, Tommi; Vyatkin, Valeriy.

Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018. IEEE, 2018. p. 3084-3089 (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

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, United States, 21/10/2018. https://doi.org/10.1109/IECON.2018.8591464

APA

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 (pp. 3084-3089). (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society). IEEE. https://doi.org/10.1109/IECON.2018.8591464

Vancouver

Santillán Martínez G, Sierla S, Karhela T, Vyatkin V. 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. IEEE. 2018. p. 3084-3089. (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society). https://doi.org/10.1109/IECON.2018.8591464

Author

Santillán Martínez, Gerardo ; Sierla, Seppo ; Karhela, Tommi ; Vyatkin, Valeriy. / Automatic Generation of a Simulation-based Digital Twin of an Industrial Process Plant. Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018. IEEE, 2018. pp. 3084-3089 (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society).

Bibtex - Download

@inproceedings{f71ae0ffdb974cd5a4033d873ebfeaf1,
title = "Automatic Generation of a Simulation-based Digital Twin of an Industrial Process Plant",
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.",
keywords = "ditigal twin, dynamic process simulation, first principles model, simulation-based digital twin",
author = "{Santill{\'a}n Mart{\'i}nez}, Gerardo and Seppo Sierla and Tommi Karhela and Valeriy Vyatkin",
year = "2018",
doi = "10.1109/IECON.2018.8591464",
language = "English",
isbn = "978-1-5090-6685-8",
series = "Proceedings of the Annual Conference of the IEEE Industrial Electronics Society",
publisher = "IEEE",
pages = "3084--3089",
booktitle = "Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018",

}

RIS - Download

TY - GEN

T1 - Automatic Generation of a Simulation-based Digital Twin of an Industrial Process Plant

AU - Santillán Martínez, Gerardo

AU - Sierla, Seppo

AU - Karhela, Tommi

AU - Vyatkin, Valeriy

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - ditigal twin

KW - dynamic process simulation

KW - first principles model

KW - simulation-based digital twin

U2 - 10.1109/IECON.2018.8591464

DO - 10.1109/IECON.2018.8591464

M3 - Conference contribution

SN - 978-1-5090-6685-8

T3 - Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

SP - 3084

EP - 3089

BT - Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018

PB - IEEE

ER -

ID: 27344880