Streaming data analysis framework for cyber-physical system of metal machining processes

Online monitoring and offline batch analyzing the data stream obtained from computer numeric control (CNC) machines and sensors deployed on manufacturing site are the core technology of Cyber-Physical System (CPS). In order to analyze data stream collected continually, in this research, the data analysis framework consist of supervisory control and data acquisition (SCADA), edge computing and cloud computing is proposed. By integrating signal smoothing and anomaly pattern detection techniques, the significant unique patterns of data stream can be discovered and stored for further usage in CPS application.