A Language and Platform Independent Co-Simulation Framework Based on the Functional Mock-Up Interface

Hatledal, Lars Ivar; Styve, Arne; Hovland, Geir; Zhang, Houxiang

doi:10.1109/access.2019.2933275

Cited by 22 publications

(12 citation statements)

References 18 publications

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“…A functional mock-up interface has been offered as a tool independent standard to improve model-based design between the manufacturers and suppliers [45]. Such a platform independent co-simulation framework can be found in [46]. In [47], the authors detailed the use of functional mock-up units for the digital twin applications.…”

Section: Manufacturing and Process Technologymentioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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A digital twin can be defined as an adaptive model of a complex physical system. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. In this work, we review the recent status of methodologies and techniques related to the construction of digital twins. Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.

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Section: Manufacturing and Process Technologymentioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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“…We would like to highlight the use of distributed simulation enabled by FMU-proxy. FMU-proxy is an open, language-and platform-independent co-simulation platform based on the FMI standard (Hatledal et al 2019).…”

Section: Simulation Resultsmentioning

confidence: 99%

Coupling of dynamic reaction forces of a heavy load crane and ship motion responses in waves

Chu

Hatledal

et al. 2021

Ships and Offshore Structures

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“…Hatledal et al developed an open-source co-simulation framework based on the FMI standard, allowing platform and language-independent simulations using remote procedure calls [53]. The latter imposes a considerable overhead on distributed co-simulations.…”

Section: Related Workmentioning

confidence: 99%

Reference Architecture for Running Computationally Intensive Physics-Based Digital Twins of Heavy Equipment in a Heterogeneous Execution Environment

2022

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Physics-based digital twins for heavy equipment provide a powerful tool for improving operation and maintenance activities. In contrast to data-driven models, they present more explainable and confident results but require more computational power. Besides the problem of physics-based digital twins creation, there is a task of managing their lifecycle, including their execution, maintenance, storage, and updating. The features distinguishing this kind of digital twins are the mobility of the real counterpart, operation in remote locations, long lifecycle, information sensitivity, and gaps in information technology awareness among the equipment owners and users. This paper presents a methodology and reference architecture for a set of interconnected systems capable of running digital twins of heavy equipment in such conditions. A data model for preserving digital twin-related information for decades of machine operation is described. Operating-system-level virtualization technologies are used to run digital twins in a heterogeneous execution environment. An example of the reference architecture implementation is presented for the physics-based digital twins of a mobile log crane. The experimental part of the paper includes a comparison of computing time for different types of digital twins in different execution environments. It highlights the peculiarities related to running physics-based digital twins in containers. Experiments were performed using the Amazon cloud platform, an edge computing system represented by a single-board microcomputer based on ARM architecture, and a virtual machine on a desktop personal computer. Experimental results show that physics-based digital twins for the analysis of the multi-body dynamics can be run within the proposed architecture with real-time performance in all three types of execution environments. The paper demonstrates the practical implementation of physics-based digital twins for heavy equipment and defines directions for future research in this field.

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A Language and Platform Independent Co-Simulation Framework Based on the Functional Mock-Up Interface

Cited by 22 publications

References 18 publications

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Coupling of dynamic reaction forces of a heavy load crane and ship motion responses in waves

Reference Architecture for Running Computationally Intensive Physics-Based Digital Twins of Heavy Equipment in a Heterogeneous Execution Environment

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