OPC UA-Based Machining Cell Monitoring System for Multi-Vendors’ Machine Tools and Industrial Robots
Joo-Sung Yoon, Yeong-Deuk Kim, Jaehak Lee, Dong Yoon Lee
- Year
- 2023
- Citations
- 14
Abstract
Monitoring systems for the manufacturing field are essential. These systems have various architectures and scales to meet more diverse requirements depending on their purpose. However, communication is commonly fundamental for all monitoring systems. This paper proposes a structure for a machining cell monitoring system that is composed of machine tools and industrial robots. The system adapts OPC UA for collecting data and MQTT for publishing data. The unique aspect of the suggested monitoring system is that it creates OPC UA data nodes dynamically according to the requests of the clients and it is applicable to any CNCs. The collected data from a machine tool and an industrial robot were chosen considering preventive maintenance. The proposed method was implemented to a machining cell and the developed dashboard shows that the selected data were successfully stored and queried.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991