Rapid interface generation method for heterogeneous models in Digital twins

被引:0
|
作者
Xavier, Felipe [1 ]
Negrin, David A. Manrique [1 ]
Cleophas, Loek [1 ]
机构
[1] Eindhoven Univ Technol, Eindhoven, Netherlands
基金
荷兰研究理事会;
关键词
Digital twins; interface generation; heterogeneous models; method; SIMULATION; INTEGRATION;
D O I
10.1145/3652620.3688218
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Although digital twins are gaining traction in both literature and industry, their development and widespread adoption face significant challenges. A primary issue in digital twins, especially those involving heterogeneous simulation models, is the integration of their diverse components. This study introduces a method designed to enhance reusability and streamline the glue code generation necessary to interface with different models in a digital twin. Our method follows a four-stage process, employing a compositional approach to define interfaces. The approach distinctly separates the composition of the model, its simulation engine and orchestration engine functional interfaces, its communication approach and technology, and the functional verification of interfaces. To ensure broad applicability, these operations are standardized into a common format, facilitating the seamless interchange of models. The effectiveness of the method is validated by generating interfaces for four different simulation engines across three distinct formalisms within a co-simulation framework. The results underscore the method's functional capability to efficiently generate interfaces.
引用
收藏
页码:960 / 969
页数:10
相关论文
共 50 条
  • [21] Digital Twins and their Implications for Business Models: Overview and Potentials
    Adelsberger, Rodrigo Torres
    Antons, Oliver
    Arlinghaus, Julia
    IFAC PAPERSONLINE, 2024, 58 (19): : 409 - 414
  • [22] A discussion about the qualification of digital twins for maintenance models
    Liu, Jie
    Liu, Xingheng
    Vatn, Jorn
    Yin, Shen
    IFAC PAPERSONLINE, 2023, 56 (02): : 11050 - 11055
  • [23] Digital twins of fixtures supporting rapid design and performance tracking
    Ma S.
    Hu K.
    Hu T.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 28 (09): : 2718 - 2725
  • [24] Inference of Simulation Models in Digital Twins by Reinforcement Learning
    David, Istvan
    Galasso, Jessie
    Syriani, Eugene
    24TH ACM/IEEE INTERNATIONAL CONFERENCE ON MODEL-DRIVEN ENGINEERING LANGUAGES AND SYSTEMS COMPANION (MODELS-C 2021), 2021, : 223 - 226
  • [25] A Structure of Modelling Depths in Behavior Models for Digital Twins
    Stegmaier, Valentin
    Dittler, Daniel
    Jazdi, Nasser
    Weyrich, Michael
    2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2022,
  • [26] Rapid generation of hardware functionality in heterogeneous platforms
    Reilly, D
    Woods, R
    McAllister, J
    Walke, R
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 65 - 68
  • [27] Opportunities for Digital Twins for the Provisioning, Management and Monitoring of Heterogeneous IoT Devices
    Maree, Jean-Marc J.
    Kruger, Karel
    Basson, Anton H.
    ACM/IEEE 27TH INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS: COMPANION PROCEEDINGS, MODELS 2024, 2024, : 378 - 389
  • [28] 3D anatomical digital twins: New generation virtual models to navigate robotic partial nephrectomy
    Amparore, Daniele
    Piana, Alberto
    Piramide, Federico
    De Cillis, Sabrina
    Checcucci, Enrico
    Fiori, Cristian
    Porpiglia, Francesco
    BJUI COMPASS, 2025, 6 (03):
  • [29] Digital Twins of Wave Energy Generation Based on Artificial Intelligence
    Liu, Yuqi
    Liu, Xiaocheng
    Guo, Jinkang
    Lou, Ranran
    Lv, Zhihan
    2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2022), 2022, : 709 - 710
  • [30] Automated Digital Twins Generation for Manufacturing Systems: a Case Study
    Lugaresi, Giovanni
    Matta, Andrea
    IFAC PAPERSONLINE, 2021, 54 (01): : 749 - 754