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Digital Twins of the Manufacturing System Based on a Simulation Model with Bi-directional Process Data Exchange

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Effective implementation of the Industry 4.0 concept requires searching for effective methods of creating digital twins - digital models connected and able to communicate in real-time, directly with mapped real objects. These methods must also take into account the need to obtain reliable and up-to-date data from the facilities of the generation system and its individual elements. The paper presents an architecture proposal for a solution of a cyber-physical system integrating the discrete events simulation model with the control system, An example of the practical implementation of the concept of a digital twin of a production system based on a dynamic digital simulation model is shown. Thanks to the possibility of mapping the current state of the production system object through a data access platform that collects, analyzes, processes and stores process data and the digital model connected to it using communication protocols, it is possible to compare and analyze the behavior of a system with nominal parameters. Mechanisms of automatic updating of the state of objects through the model-production system interfaces were used, using the built-in so-called emulation tools of industrial automation components, ensuring support for the OPC UA, OPC DA and Modbus communication protocols.

Original languageEnglish
Title of host publicationAdvances in Production - Intelligent Systems in Production Engineering and Maintenance
EditorsAnna Burduk, Andre Batako, José Machado, Ryszard Wyczółkowski, Katarzyna Antosz, Arkadiusz Gola
PublisherSpringer Science and Business Media Deutschland GmbH
Pages548-559
Number of pages12
ISBN (Print)9783031450204
DOIs
Publication statusPublished - 2023
Event4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023 - Wroclaw, Poland
Duration: 13 Sept 202315 Sept 2023

Publication series

NameLecture Notes in Networks and Systems
Volume790 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference4th International Conference on Intelligent Systems in Production Engineering and Maintenance , ISPEM 2023
Country/TerritoryPoland
CityWroclaw
Period13/09/2315/09/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • cyber-physical system
  • digital twin
  • discrete-event simulation
  • simulation model

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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