Remote monitoring system for CNC machining equipment
Uusikartano, Olli Juhani (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202503134222
https://urn.fi/URN:NBN:fi:amk-202503134222
Tiivistelmä
This thesis presents the development of a remote monitoring system for CNC machining equipment at Morehead State University. The system enables realtime data collection, processing, and visualization to improve operational efficiency. Newer Haas CNC machines were monitored using Ethernet/IP, while older machines required programmable relays and sensors connected to a PLC. Data was extracted and processed using Python scripts and transmitted to an OPC UA server, which served as a central hub. The collected data was then displayed in a user interface, providing real-time machine status updates.
The system successfully improved monitoring efficiency, reduced the need for manual supervision, and laid the groundwork for future expansion, such as AI driven predictive maintenance. This project highlights how Industry 4.0 technologies can optimize manufacturing processes and enhance automation.
The system successfully improved monitoring efficiency, reduced the need for manual supervision, and laid the groundwork for future expansion, such as AI driven predictive maintenance. This project highlights how Industry 4.0 technologies can optimize manufacturing processes and enhance automation.