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
  • [1] RAPID GENERATION OF DIGITAL ELEVATION MODELS FROM TOPOGRAPHIC MAPS
    EKLUNDH, L
    MARTENSSON, U
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SYSTEMS, 1995, 9 (03): : 329 - 340
  • [2] Automated Model Generation for Digital Twins
    Buehler, Maximilian
    Bednar, Thomas
    MULTIPHYSICS AND MULTISCALE BUILDING PHYSICS, IBPC 2024, VOL 2, 2025, 553 : 140 - 148
  • [3] On generative models as the basis for digital twins
    Tsialiamanis, George
    Wagg, David J.
    Dervilis, Nikolaos
    Worden, Keith
    DATA-CENTRIC ENGINEERING, 2021, 2
  • [4] Structured Neural Network Modeling for Developing Digital Twins Models of Hydropower Generation Units
    Wang, Hong
    Ou, Shiqi
    2024 IEEE 19TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, ICIEA 2024, 2024,
  • [5] Evolution of Process Models to Digital Twins
    Holtzapple, Alex
    Arnout, Sander
    Nagels, Els
    REWAS 2022: DEVELOPING TOMORROW'S TECHNICAL CYCLES, VOL I, 2022, : 523 - 525
  • [6] A review on digital twins for power generation and distribution
    Jessica B. Heluany
    Vasileios Gkioulos
    International Journal of Information Security, 2024, 23 : 1171 - 1195
  • [7] A review on digital twins for power generation and distribution
    Heluany, Jessica B.
    Gkioulos, Vasileios
    INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 2024, 23 (02) : 1171 - 1195
  • [8] Conceptual Modelling Method for Digital Twins
    Carrion, Emilio
    Pastor, Oscar
    Valderas, Pedro
    CONCEPTUAL MODELING, ER 2024, 2025, 15238 : 417 - 435
  • [9] Objective Quality Measurement for Models and digital Twins
    Froese, Thomas
    ATP MAGAZINE, 2019, (11-12): : 34 - 36
  • [10] Optimized NLP Models for Digital Twins in Metaverse
    Lukaj, Valeria
    Catalfamo, Alessio
    Fazio, Maria
    Celest, Antonio, V
    Vinare, Massimo
    2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC, 2023, : 1453 - 1458