Design of Hybrid NC Control System for Automatic Line

Abstract

This paper presents a Hybrid NC Control System for Automatic line based onCyber-Physical-System (CPS) technology. Firstly, this paper describes the overall system hierarchical structure, which uses a variety of techniques, such as sensors, smart computing, and heterogeneous network integration. In order to improve the practical value, we study and solve some technical problems, such as heterogeneous systems integration, data storage, and real-time simulation. Finally, the prototype system is developed, which has been applied in a large State-owned enterprise in Wuxi, China.

Analysis of Data From Measuring Sensors for Prediction in Production Process Control Systems

“…With the null hypothesis that the tested coefficient is equal to zero, it is statistics with distribution . Wald's Test: This test assumes that the ratio of the estimated ratio to the standard error will have a normal distribution (15) Partial probability tests are usually recommended. The value of the standard deviation of the model parameters is estimated based on the inverse of Fisher's information matrix.…”

“…1). There are many methods for solving optimisation problems [2,[5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23]. Autonomy, optimisation and integration of analytical approaches is related to the operation of sensor networks, large amounts of data, analysis and interpretation of information, taking into account security aspects [1,[13][14][15].…”