Study of the Production of Electrolytic Capacitors of Intelligent Network Equipment Management

Article Preview

Abstract:

Automatic equipments workshop in the production process, the statistics and reports for various data is the condition that the statistics after the production. From the system perspective, this is an off-line control system, and the time difference will increase the failure rate and reduce the efficiency of the equipment manufacturing products. According to this problem, the intelligent network management scheme for the production equipment is designed in the paper, as aluminum electrolytic capacitor production equipment an example, the network control system (NCS) is introduced into the equipment management of production of aluminum electrolytic capacitors, and the design idea and structure are given. Through the design, the intelligent management of aluminum electrolytic capacitor production equipment is realized, which can ensure the efficient, real-time and accuracy of each production link in capacitor.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

207-210

Citation:

Online since:

February 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Chen Zaipin. Field Bus and Industrial control network technology. Beijing: Electronics Industry press, (2008).

Google Scholar

[2] Hespanha, Naghshtabrizi, Yonggang Xu. A Survey of Recent Results in Networked Control Systems[J]. Proceedings of the IEEE. January 2007. 95(1). 138-162.

DOI: 10.1109/jproc.2006.887288

Google Scholar

[3] D. Hristu-Varsakelis and W. S. Levine. Handbook of Networked and Embedded Control Systems. Birkhäuser. 2005. 45-116.

DOI: 10.1007/b137198

Google Scholar

[4] Hu Shousong. principle course of Automatic Control Theory[M]. Beijing: Science Press, (2013).

Google Scholar

[5] Xunhe Yin; Qingquan Cui; Yongkang Xiao et al. Overview of networked control system based on hybrid control theory[J]. Int. J. Systems, Control and Communications, 2011, 3(4): 377-389.

DOI: 10.1504/ijscc.2011.043761

Google Scholar

[6] Yin Xunhe, Cui Qingquan. Research in the Simulation platform of Networked Control System[J]. Taiwan, Journal of Internet Technology 2008,9(5): 441-445.

Google Scholar