Visualized simulation design for cyber-physical systems based on the supervisory control framework
Industry 4.0 aims to use computer technology to assist industrial production and is helpful in improving the performance of industrial systems in all aspects. This project focuses on product delivery systems. The contribution of this paper is twofold; firstly, it illustrates a method for modelli...
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sg-ntu-dr.10356-1690592023-07-04T15:15:58Z Visualized simulation design for cyber-physical systems based on the supervisory control framework Wang, Qiushi Su Rong School of Electrical and Electronic Engineering RSu@ntu.edu.sg Engineering::Electrical and electronic engineering Industry 4.0 aims to use computer technology to assist industrial production and is helpful in improving the performance of industrial systems in all aspects. This project focuses on product delivery systems. The contribution of this paper is twofold; firstly, it illustrates a method for modelling and controlling flexible manufacturing systems; secondly, it provides an optimisation algorithm based on solver constraint solving. The first part of the Project is to build a production line simulation model using simulation software, simulate real production scenarios by selecting suitable components, imitate the activities of the production line by establishing signal connections, and use external software for supervision. In addition, the optimization of the model is also a part of the concern. The solver can be used to optimize the scheduling of production, not only for systems using conveyor delivery, but also for AGV systems. Keywords: Industry 4.0, AGVs system simulation, Optimization. Master of Science (Power Engineering) 2023-06-28T06:32:15Z 2023-06-28T06:32:15Z 2023 Thesis-Master by Coursework Wang, Q. (2023). Visualized simulation design for cyber-physical systems based on the supervisory control framework. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/169059 https://hdl.handle.net/10356/169059 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Wang, Qiushi Visualized simulation design for cyber-physical systems based on the supervisory control framework |
description |
Industry 4.0 aims to use computer technology to assist industrial production and
is helpful in improving the performance of industrial systems in all aspects.
This project focuses on product delivery systems.
The contribution of this paper is twofold; firstly, it illustrates a method for
modelling and controlling flexible manufacturing systems; secondly, it provides
an optimisation algorithm based on solver constraint solving.
The first part of the Project is to build a production line simulation model using
simulation software, simulate real production scenarios by selecting suitable
components, imitate the activities of the production line by establishing signal
connections, and use external software for supervision.
In addition, the optimization of the model is also a part of the concern. The
solver can be used to optimize the scheduling of production, not only for systems
using conveyor delivery, but also for AGV systems.
Keywords: Industry 4.0, AGVs system simulation, Optimization. |
author2 |
Su Rong |
author_facet |
Su Rong Wang, Qiushi |
format |
Thesis-Master by Coursework |
author |
Wang, Qiushi |
author_sort |
Wang, Qiushi |
title |
Visualized simulation design for cyber-physical systems based on the supervisory control framework |
title_short |
Visualized simulation design for cyber-physical systems based on the supervisory control framework |
title_full |
Visualized simulation design for cyber-physical systems based on the supervisory control framework |
title_fullStr |
Visualized simulation design for cyber-physical systems based on the supervisory control framework |
title_full_unstemmed |
Visualized simulation design for cyber-physical systems based on the supervisory control framework |
title_sort |
visualized simulation design for cyber-physical systems based on the supervisory control framework |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/169059 |
_version_ |
1772826860932038656 |