2022
DOI: 10.1109/access.2022.3232061
|View full text |Cite
|
Sign up to set email alerts
|

IIoT Device Prototype Design Using State Machine According to OPC UA

Abstract: 22 Proactive control of hybrid production systems using simulation-based digital twin and VEGA 1/0193/22 Proposal of identification and monitoring of production equipment parameters for the need for predictive maintenance in accordance with the concept of Industry 4.0 using Industrial IoT technologies.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 35 publications
0
1
0
Order By: Relevance
“…The results show that the proposal enriches the path to realize cloud-based DT and features cloud intelligence, DT modeling, and web-based DT visualization, providing a feasible solution to upgrade a legacy manufacturing system to a digitalized and intelligent system. In [21], they propose an architecture using a finite state machine (FSM) to guarantee the functionality of the associated control systems which can be integrated and used for the simulation requirements of a production process. The implementation is carried out through IoT and OPC UA communication integrated into the industrial materials classification production line.…”
Section: Related Workmentioning
confidence: 99%
“…The results show that the proposal enriches the path to realize cloud-based DT and features cloud intelligence, DT modeling, and web-based DT visualization, providing a feasible solution to upgrade a legacy manufacturing system to a digitalized and intelligent system. In [21], they propose an architecture using a finite state machine (FSM) to guarantee the functionality of the associated control systems which can be integrated and used for the simulation requirements of a production process. The implementation is carried out through IoT and OPC UA communication integrated into the industrial materials classification production line.…”
Section: Related Workmentioning
confidence: 99%