Application of Big Data Processing Method in Intelligent Manufacturing

With the rapid development of computer network technology, machine tools are required to upgrade to intelligent and networked manufacturing units. The application of big data processing methods has become the core of the development of machine tools. In this paper, through the establishment of the overall architecture of intelligent machine tools, the sensing and acquisition system of intelligent machine tools is developed. The Data Collector module is developed based on MTConnect protocol to realize data transmission from agent to MvSQL database, and data storage in the actual processing process is realized by using database technology. On this basis, the Back Propagation (BP) neural network algorithm is used to predict the power of the milling process. Finally, the accuracy and predictability of the BP neural network model are verified by experiments.