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| Multi-Source Heterogeneous Data Management Method for Intelligent Management and Control of CNC Machining Process |
| WANG Meiqing1 , MA Pengfei1 , BIAN Yuan1 , CAO Yansheng2 |
| (1. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China; 2. Beijing Aerospace Xinfeng Mechanical Equipment Co., Ltd., Beijing 100049, China) |
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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.
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2020, 
