Research on Cloud-Edge-Device Collaborative Intelligent Monitoring System of Grinding Wheel Wear State for High-Speed Cylindrical Grinding of Bearing Rings
Rongjin Zhuo,
Zhaohui Deng,
Jimin Ge,
Wei Liu,
Lishu Lv,
Can Yan
Affiliations
Rongjin Zhuo
College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Zhaohui Deng
Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Materia, Xiangtan 411201, China
Jimin Ge
College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Wei Liu
College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Lishu Lv
College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Can Yan
College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Aiming at the problems of grinding wheel wear during high-speed cylindrical grinding, communication delays, and slow response during data acquisition, processing, and system operation, an intelligent online monitoring technology frame for CNC manufacturing units is proposed, incorporating a real-time-perception grinding mechanism and a cloud-edge device. Based on the grinding data and grinding wheel wear mechanism, a monitoring model using multi-sensor information fusion is constructed to assess the grinding wheel wear state. In addition, edge data acquisition and online monitoring software have been developed to improve the speed of data transmission and processing. Finally, based on the proposed framework, a cloud-edge device collaborative intelligent monitoring system for assessing grinding wheel wear during high-speed cylindrical grinding of bearing rings is constructed. It improves the grinding quality and efficiency, reduces the grinding cost, and incorporates remote control functionality.
