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Related Experiment Video

Updated: Sep 26, 2025

Data Communication Based on MQTT in a Polymer Extrusion Process

Data Communication Based on MQTT in a Polymer Extrusion Process

Published on: July 15, 2022

Data Twin-Driven Cyber-Physical Factory for Smart Manufacturing.

Jung-Sing Jwo^1,2, Cheng-Hsiung Lee¹, Ching-Sheng Lin¹

¹Master Program of Digital Innovation, Tunghai University, Taichung 40704, Taiwan.

Sensors (Basel, Switzerland)

|April 23, 2022

Summary

Industry 4.0 is essential for aerospace composite manufacturing. This study introduces Data Twin and the Data Twin Service (DTS) to simplify virtual models, enabling digital manufacturing through a Cyber-Physical Factory (CPF) simulation environment.

Keywords:

Digital Twin Industry 4.0 cyber-physical factory cyber-physical systems data twin digital manufacturing machine learning

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Last Updated: Sep 26, 2025

Data Communication Based on MQTT in a Polymer Extrusion Process

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Operation of the Collaborative Composite Manufacturing CCM System

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Published on: October 1, 2019

Area of Science:

Aerospace Engineering
Manufacturing Technology
Computer Science

Background:

Aerospace and defense manufacturing relies on complex, technology-intensive processes.
Industry 4.0 adoption, including Digital Twin and Cyber-Physical Systems, is crucial for digital manufacturing.
High-fidelity virtual models for aircraft composite manufacturing are difficult to create, posing challenges for digital manufacturing development.

Purpose of the Study:

To propose a novel approach for simplifying high-fidelity virtual models in Digital Twin for aircraft composite manufacturing.
To introduce the Data Twin concept and Data Twin Service (DTS) for data simulation.
To develop a Cyber-Physical Factory (CPF) microservice architecture for simulating shop floor environments.

Main Methods:

Utilizing machine learning approaches to simplify high-fidelity virtual models.
Developing the Data Twin concept and Data Twin Service (DTS) for simulation.
Designing a microservice software architecture, Cyber-Physical Factory (CPF), with Physical and Cyber War Rooms for data integration and simulation.

Main Results:

Demonstrated a data simulation perspective to overcome challenges in creating high-fidelity virtual models.
Introduced the Data Twin concept and DTS as a deployable service for simulation.
Established the Cyber-Physical Factory (CPF) architecture for shop floor simulation and collaboration.

Conclusions:

The Data Twin concept and DTS offer a viable solution for simplifying virtual models in digital manufacturing.
The CPF architecture provides a robust platform for simulating aerospace manufacturing environments and fostering collaboration.
This approach facilitates the integration of Industry 4.0 technologies in the aerospace and defense sector.