Research on Cloud-Edge-Device Collaborative Intelligent Monitoring System of Grinding Wheel Wear State for High-Speed Cylindrical Grinding of Bearing Rings

Author:

Zhuo Rongjin12,Deng Zhaohui23ORCID,Ge Jimin12,Liu Wei12,Lv Lishu12ORCID,Yan Can12

Affiliation:

1. College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China

2. Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Materia, Xiangtan 411201, China

3. Institute of Manufacturing Engineering, Huaqiao University, Xiamen 361021, China

Abstract

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.

Funder

National Natural Science Foundation of China

National Natural Science Foundation of China Regional Innovation and Development Joint Fund Key Projects

Publisher

MDPI AG

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