Paper
7 August 2024 Design of CNC machine tool condition monitoring system based on STM32
Yiming Wang, Cunfu Yan, Xuetao Qiao, Tianhang Duan
Author Affiliations +
Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 132292G (2024) https://doi.org/10.1117/12.3038383
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China
Abstract
In order to solve the problem that the alarm of traditional CNC machine tools is not timely when faults occur, resulting in reduced machining accuracy and equipment damage, a condition monitoring system of CNC machine tools based on STM32 is proposed, which has the functions of remote alarm, real time monitoring, data acquisition and so on. When the network is normal, the status of CNC machine tools can be viewed in real time on the WeChat applet. The system test shows that the average relative errors between the system ambient temperature monitoring data, ambient humidity monitoring data, axis temperature monitoring data, and instrument measurement results are 1.9 %, 4.9 %, and 2.4 %, respectively, which have good timeliness and reliability.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yiming Wang, Cunfu Yan, Xuetao Qiao, and Tianhang Duan "Design of CNC machine tool condition monitoring system based on STM32", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 132292G (7 August 2024); https://doi.org/10.1117/12.3038383
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KEYWORDS
Sensors

Design

Humidity

Temperature metrology

Environmental monitoring

Vibration

Data acquisition

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