@inproceedings{7bc0e2cdb5004fe5a1cb8d6e03a999b6,
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",
year = "2023",
doi = "10.1109/INDIN51400.2023.10218021",
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",
booktitle = "2023 IEEE 21st International Conference on Industrial Informatics, INDIN 2023",
address = "United States",
}