Abstract：In order to improve the intelligent management and control capabilities of CNC machining processes, the data acquisition requirements for intelligent management and control of machining processes are analyzed. The characteristics of various types of data are sorted out in real-time, data volume, structured degree, access speed, and scalability. Based on this, multi-source heterogeneous data which include manufacturing situation data, real-time process data and product inspection data, are divided into three categories: non-real-time structured data, real-time process data, and historical process data. Data organization and management strategies that incorporate data management methods such as memory databases, relational databases, non-relational databases, and technical data management streaming (TDMS) files, enable the integrated management of manufacturing situation data and process data. Finally, the application of intelligent management and control of a typical thin-walled rotating part CNC machining process is taken as an example to verify the feasibility and effectiveness of the proposed method.
王美清，马鹏飞，边远，曹彦生. 面向数控加工过程智能管控的多源异构数据管理方法[J]. 航空制造技术, 2020, 63(8): 14-24.
WANG Meiqing，MA Pengfei,BIAN Yuan， CAO Yansheng. Multi-Source Heterogeneous Data Management Method for Intelligent Management and Control of CNC Machining Process. Aeronautical Manufacturing Technology, 2020, 63(8): 14-24.
2020, 
