TY - GEN
T1 - Application of Big Data Processing Method in intelligent Manufacturing
AU - Xiao, Yao
AU - Liu, Qiang
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - 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 MySQL 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.
AB - 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 MySQL 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.
KW - BP neural network
KW - Big data
KW - Intelligent manufacturing
KW - MTConnect
UR - https://www.scopus.com/pages/publications/85072396256
U2 - 10.1109/ICMA.2019.8816424
DO - 10.1109/ICMA.2019.8816424
M3 - 会议稿件
AN - SCOPUS:85072396256
T3 - Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
SP - 1895
EP - 1900
BT - Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Mechatronics and Automation, ICMA 2019
Y2 - 4 August 2019 through 7 August 2019
ER -