A microservices-based architecture for data and software management of heavy equipment digital twins

Victor Zhidchenko; Egor Startcev; Juha Kortelainen; Akhtar Zeb; Leo Torvikoski; Saeid Torkabadi; Heikki Handroos

doi:10.1109/INDIN51400.2023.10218021

A microservices-based architecture for data and software management of heavy equipment digital twins

Victor Zhidchenko^*
, Egor Startcev
, Juha Kortelainen
, Akhtar Zeb
, Leo Torvikoski
, Saeid Torkabadi
, Heikki Handroos

^*Corresponding author for this work

Lappeenranta-Lahti University of Technology LUT
Eurostep Oy
Eurostep AB

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

4 Citations (Scopus)

Abstract

Digital twins improve the performance of heavy equipment and decrease its operational costs. To be effective, they must run along decades of a real machine lifecycle. Ensuring coherence between a real machine and its digital twin over such a long period is a challenging task that has not yet been well-studied. This task involves preserving the design and operational data and periodic execution of digital twin software that processes such data. The circumstances of heavy equipment operation complicate the task. This paper considers the problem of digital twin data and software management in light of the unique challenges related to heavy equipment. It presents an experimental case study for running digital twins of mobile log cranes using a data model and a microservices-based architecture developed by the authors. The results demonstrate the capability of the architecture for running physics-based digital twins of heavy equipment in a heterogeneous execution environment consisting of local, edge, and cloud computing resources.

Original language	English
Title of host publication	2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023
Editors	Helene Dorksen, Stefano Scanzio, Jurgen Jasperneite, Lukasz Wisniewski, Kim Fung Man, Thilo Sauter, Lucia Seno, Henning Trsek, Valeriy Vyatkin
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	8
ISBN (Electronic)	9781665493130
DOIs	https://doi.org/10.1109/INDIN51400.2023.10218021
Publication status	Published - 2023
MoE publication type	A4 Article in a conference publication
Event	21st IEEE International Conference on Industrial Informatics, INDIN 2023 - Lemgo, Germany Duration: 17 Jul 2023 → 20 Jul 2023

Publication series

Series	IEEE International Conference on Industrial Informatics (INDIN)
Volume	2023-July
ISSN	1935-4576

Conference

Conference	21st IEEE International Conference on Industrial Informatics, INDIN 2023
Country/Territory	Germany
City	Lemgo
Period	17/07/23 → 20/07/23

Funding

V. AN EXAMPLE OF USING THE PROPOSED ARCHITECTURE FOR HEAVY EQUIPMENT DT MANAGEMENT A proof-of-concept system was created to test the architecture with the DTs of real heavy equipment and commercially available cloud computing systems. The work was carried out within the research project ”Service Business from Physics-Based Digital Twins—DigiBuzz” funded by Business Finland. Information about the real machine and its DTs was entered into the software system ShareAspace, a cloud-based platform for secure PLM collaboration provided by Eurostep, a partner company in the project [23]. This work was supported in part by the Strategic Research Council of Finland (“Manufacturing 4.0, Technological, Economic and Societal Effects”) under Grant 335991 and Grant 313349; in part by Business Finland through the Project “DigiBuzz”.

Keywords

cloud computing
data model
digital twin
digitalisation
edge computing
simulation

Access to Document

10.1109/INDIN51400.2023.10218021

Cite this

Zhidchenko, V., Startcev, E., Kortelainen, J., Zeb, A., Torvikoski, L., Torkabadi, S., & Handroos, H. (2023). A microservices-based architecture for data and software management of heavy equipment digital twins. In H. Dorksen, S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek, & V. Vyatkin (Eds.), 2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/INDIN51400.2023.10218021

Zhidchenko, Victor ; Startcev, Egor ; Kortelainen, Juha et al. / A microservices-based architecture for data and software management of heavy equipment digital twins. 2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023. editor / Helene Dorksen ; Stefano Scanzio ; Jurgen Jasperneite ; Lukasz Wisniewski ; Kim Fung Man ; Thilo Sauter ; Lucia Seno ; Henning Trsek ; Valeriy Vyatkin. IEEE Institute of Electrical and Electronic Engineers, 2023. (IEEE International Conference on Industrial Informatics (INDIN), Vol. 2023-July).

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title = "A microservices-based architecture for data and software management of heavy equipment digital twins",

abstract = "Digital twins improve the performance of heavy equipment and decrease its operational costs. To be effective, they must run along decades of a real machine lifecycle. Ensuring coherence between a real machine and its digital twin over such a long period is a challenging task that has not yet been well-studied. This task involves preserving the design and operational data and periodic execution of digital twin software that processes such data. The circumstances of heavy equipment operation complicate the task. This paper considers the problem of digital twin data and software management in light of the unique challenges related to heavy equipment. It presents an experimental case study for running digital twins of mobile log cranes using a data model and a microservices-based architecture developed by the authors. The results demonstrate the capability of the architecture for running physics-based digital twins of heavy equipment in a heterogeneous execution environment consisting of local, edge, and cloud computing resources.",

keywords = "cloud computing, data model, digital twin, digitalisation, edge computing, simulation",

author = "Victor Zhidchenko and Egor Startcev and Juha Kortelainen and Akhtar Zeb and Leo Torvikoski and Saeid Torkabadi and Heikki Handroos",

note = "Funding Information: V. AN EXAMPLE OF USING THE PROPOSED ARCHITECTURE FOR HEAVY EQUIPMENT DT MANAGEMENT A proof-of-concept system was created to test the architecture with the DTs of real heavy equipment and commercially available cloud computing systems. The work was carried out within the research project ”Service Business from Physics-Based Digital Twins—DigiBuzz” funded by Business Finland. Information about the real machine and its DTs was entered into the software system ShareAspace, a cloud-based platform for secure PLM collaboration provided by Eurostep, a partner company in the project [23]. ; 21st IEEE International Conference on Industrial Informatics, INDIN 2023 ; Conference date: 17-07-2023 Through 20-07-2023",

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language = "English",

series = "IEEE International Conference on Industrial Informatics (INDIN)",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

editor = "Helene Dorksen and Stefano Scanzio and Jurgen Jasperneite and Lukasz Wisniewski and Man, \{Kim Fung\} and Thilo Sauter and Lucia Seno and Henning Trsek and Valeriy Vyatkin",

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}

Zhidchenko, V, Startcev, E, Kortelainen, J , Zeb, A, Torvikoski, L, Torkabadi, S & Handroos, H 2023, A microservices-based architecture for data and software management of heavy equipment digital twins. in H Dorksen, S Scanzio, J Jasperneite, L Wisniewski, KF Man, T Sauter, L Seno, H Trsek & V Vyatkin (eds), 2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023. IEEE Institute of Electrical and Electronic Engineers, IEEE International Conference on Industrial Informatics (INDIN), vol. 2023-July, 21st IEEE International Conference on Industrial Informatics, INDIN 2023, Lemgo, North Rhine-Westphalia, Germany, 17/07/23. https://doi.org/10.1109/INDIN51400.2023.10218021

A microservices-based architecture for data and software management of heavy equipment digital twins. / Zhidchenko, Victor; Startcev, Egor; Kortelainen, Juha et al.
2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023. ed. / Helene Dorksen; Stefano Scanzio; Jurgen Jasperneite; Lukasz Wisniewski; Kim Fung Man; Thilo Sauter; Lucia Seno; Henning Trsek; Valeriy Vyatkin. IEEE Institute of Electrical and Electronic Engineers, 2023. (IEEE International Conference on Industrial Informatics (INDIN), Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - A microservices-based architecture for data and software management of heavy equipment digital twins

AU - Zhidchenko, Victor

AU - Startcev, Egor

AU - Kortelainen, Juha

AU - Zeb, Akhtar

AU - Torvikoski, Leo

AU - Torkabadi, Saeid

AU - Handroos, Heikki

N1 - Funding Information: V. AN EXAMPLE OF USING THE PROPOSED ARCHITECTURE FOR HEAVY EQUIPMENT DT MANAGEMENT A proof-of-concept system was created to test the architecture with the DTs of real heavy equipment and commercially available cloud computing systems. The work was carried out within the research project ”Service Business from Physics-Based Digital Twins—DigiBuzz” funded by Business Finland. Information about the real machine and its DTs was entered into the software system ShareAspace, a cloud-based platform for secure PLM collaboration provided by Eurostep, a partner company in the project [23].

PY - 2023

Y1 - 2023

N2 - Digital twins improve the performance of heavy equipment and decrease its operational costs. To be effective, they must run along decades of a real machine lifecycle. Ensuring coherence between a real machine and its digital twin over such a long period is a challenging task that has not yet been well-studied. This task involves preserving the design and operational data and periodic execution of digital twin software that processes such data. The circumstances of heavy equipment operation complicate the task. This paper considers the problem of digital twin data and software management in light of the unique challenges related to heavy equipment. It presents an experimental case study for running digital twins of mobile log cranes using a data model and a microservices-based architecture developed by the authors. The results demonstrate the capability of the architecture for running physics-based digital twins of heavy equipment in a heterogeneous execution environment consisting of local, edge, and cloud computing resources.

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KW - cloud computing

KW - data model

KW - digital twin

KW - digitalisation

KW - edge computing

KW - simulation

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DO - 10.1109/INDIN51400.2023.10218021

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AN - SCOPUS:85171132710

T3 - IEEE International Conference on Industrial Informatics (INDIN)

BT - 2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023

A2 - Dorksen, Helene

A2 - Scanzio, Stefano

A2 - Jasperneite, Jurgen

A2 - Wisniewski, Lukasz

A2 - Man, Kim Fung

A2 - Sauter, Thilo

A2 - Seno, Lucia

A2 - Trsek, Henning

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ER -

Zhidchenko V, Startcev E, Kortelainen J , Zeb A, Torvikoski L, Torkabadi S et al. A microservices-based architecture for data and software management of heavy equipment digital twins. In Dorksen H, Scanzio S, Jasperneite J, Wisniewski L, Man KF, Sauter T, Seno L, Trsek H, Vyatkin V, editors, 2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023. IEEE Institute of Electrical and Electronic Engineers. 2023. (IEEE International Conference on Industrial Informatics (INDIN), Vol. 2023-July). doi: 10.1109/INDIN51400.2023.10218021

A microservices-based architecture for data and software management of heavy equipment digital twins

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