Real-time intelligent control of production equipment can effectively improve production efficiency and production quality

but the current research on intelligent manufacturing mainly focuses on workshop management and production scheduling

and the application scenarios are mostly occasions with low real-time performance. For this problem

the integration method of data collection module was studied based on the open CNC system

and a real-time data collection platform based on Kafka message queue and MongoDB database cluster was established which realized the real-time reception of processing data and the local preservation of data. A chatter online monitoring method based on nonlinear energy operator was proposed and deployed in the open CNC system with modularity. The real-time data acquisition platform and the online chatter monitoring module were verified by milling thin-walled parts in real time and effectiveness.