Digital Twin Testbed in Cyber Physical Systems Towards Smart Manufacturing of Small and Medium-sized Manufacturers

2020 ◽  
Vol 25 (3) ◽  
pp. 298-306 ◽  
Author(s):  
Yangho Park ◽  
Hyoung Seok Kang ◽  
Jun Kim ◽  
SangSu Choi ◽  
Ju Yeon Lee
Keyword(s):  
Cyber Physical Systems ◽  
Smart Manufacturing ◽  
Physical Systems ◽  
Digital Twin

Modeling of Cyber-Physical Systems and Digital Twin Based on Edge Computing, Fog Computing and Cloud Computing Towards Smart Manufacturing

2018 ◽  
Author(s):  
Qinglin Qi ◽  
Dongming Zhao ◽  
T. Warren Liao ◽  
Fei Tao
Keyword(s):  
Cloud Computing ◽  
Fog Computing ◽  
Cyber Physical Systems ◽  
Edge Computing ◽  
System Level ◽  
Smart Manufacturing ◽  
Level System ◽  
Physical Systems ◽  
Unit Level ◽  
Digital Twin

Nowadays, smart manufacturing has attracted more and more interesting and attentions of researchers. As an important prerequisite for smart manufacturing, the cyber-physical integration of manufacturing is becoming more and more important. Cyber-physical systems (CPS) and digital twin (DT) are the preferred means to achieve the interoperability and integration between the physical and cyber worlds. From the perspective of hierarchy, CPS and DT can be divided into unit level, system level, and SoS (system of system) level. To meet the different requirements of each level, the following three complementary technologies, i.e., edge computing, fog computing and cloud computing, are instrumental to accelerate the development of various CPS and DT. In this article, the perspectives of unit-level, system-level, and SoS-level of CPS and DT supported by edge computing, fog computing and cloud computing are discussed.

Validity Frame Supported Digital Twin Design of Complex Cyber-Physical Systems

2021 ◽  
Author(s):  
Bert Van Acker ◽  
Joost Mertens ◽  
Paul De Meulenaere ◽  
Joachim Denil
Keyword(s):  
Cyber Physical Systems ◽  
Twin Design ◽  
Physical Systems ◽  
Digital Twin

scholarly journals IoT-Based Digital Twin for Energy Cyber-Physical Systems: Design and Implementation

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4762 ◽  
Author(s):  
Ahmed Saad ◽  
Samy Faddel ◽  
Osama Mohammed
Keyword(s):  
Power Systems ◽  
Systems Design ◽  
Cyber Physical Systems ◽  
Superior Performance ◽  
Physical Systems ◽  
Digital Twin ◽  
Power And Control ◽  
Amazon Web Services ◽  
High Bandwidth ◽  
And Control

With the emergence of distributed energy resources (DERs), with their associated communication and control complexities, there is a need for an efficient platform that can digest all the incoming data and ensure the reliable operation of the power system. The digital twin (DT) is a new concept that can unleash tremendous opportunities and can be used at the different control and security levels of power systems. This paper provides a methodology for the modelling of the implementation of energy cyber-physical systems (ECPSs) that can be used for multiple applications. Two DT types are introduced to cover the high-bandwidth and the low-bandwidth applications that need centric oversight decision making. The concept of the digital twin is validated and tested using Amazon Web Services (AWS) as a cloud host that can incorporate physical and data models as well as being able to receive live measurements from the different actual power and control entities. The experimental results demonstrate the feasibility of the real-time implementation of the DT for the ECPS based on internet of things (IoT) and cloud computing technologies. The normalized mean-square error for the low-bandwidth DT case was 3.7%. In the case of a high-bandwidth DT, the proposed method showed superior performance in reconstructing the voltage estimates, with 98.2% accuracy from only the controllers’ states.

scholarly journals Machine Tool: From the Digital Twin to the Cyber-Physical Systems

Twin-Control ◽  
2019 ◽  
pp. 3-21 ◽  
Author(s):  
Mikel Armendia ◽  
Aitor Alzaga ◽  
Flavien Peysson ◽  
Tobias Fuertjes ◽  
Frédéric Cugnon ◽  
...  
Keyword(s):  
Machine Tool ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Digital Twin

scholarly journals Quality control in cyber-physical systems of smart electronics manufacturing

2021 ◽  
Vol 2094 (4) ◽  
pp. 042066
Author(s):  
A A Dzyubanenko ◽  
G I Korshunov
Keyword(s):  
Physical Environment ◽  
Printed Circuit Boards ◽  
Cyber Physical Systems ◽  
Problem Area ◽  
Smart Manufacturing ◽  
High Tech ◽  
Circuit Boards ◽  
Physical Systems ◽  
Printed Circuit ◽  
Surface Mounting

Abstract The creation of high-tech smart industries is observed in dynamically developing industries, which include the production of electronics and the automotive industry. The concept of “smart manufacturing” is closely related to the concept of cyber-physical systems, which integrates the main elements of digitalization and intellectualization. This concept provides for the continuous improvement of intellectual “cybernetic” resources for the effective management of the “physical” environment considered in this problem area. Improvement of technologies, ensuring high rates of reproducibility and suitability of equipment creates conditions for defect-free production. However, there remain the problems of recognizing patterns represented not by an obvious marriage, but by some not fully defined inconsistency on a set of requirements. The need to disclose uncertainties of this kind is typical for surface mounting technologies for printed circuit boards. The introduction of more and more advanced automatic optical inspections, containing the possibility of introducing intelligent (cybernetic) means, creates conditions for improving the quality of printed circuit boards as a “physical” environment. It is also important to minimize the “human factor”, the presence of which is still used when making decisions on the results of control. In the article, ensuring the rhythm of digital production and increasing the reliability of control in quality management in smart high-tech industries using the example of electronics production.

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