Computer Simulation Operating System for CNC Machine Tools Based on Deep Learning

With the rapid development of the Internet of Things and intelligent sensing technology, the real-time collected CNC machine tool operating data presents the characteristics of massive quantity, variety, and low density. The purpose of this paper is to study the design of computer simulation operating system for CNC machine tools based on deep learning. Firstly, it summarizes the working process of CNC machine tools and CNC system, and introduces the design and implementation of the training model system module based on deep learning in this article. Secondly, the overall framework design of the virtual simulation system of CNC machine tools was launched, and the data of the simulation operating system based on SAE depth in the network training and the performance analysis of the computer simulation operating system of CNC machine tools were analyzed. The experimental results showed that with the increase of the learning rate, the error the curve becomes unstable and the convergence process becomes more and more difficult. When the learning rate reaches 0.06, the curve no longer converges.