Implementation of Distributed Control System for Rice Mill Using C#

Hla Myo Tun (Research Department of Yangon Technological University, Gyogone, Insein PO, 11011, Yangon, Myanmar)

Article ID: 4963


The paper presents the distributed control system for rice mill using C# language. The real-time manufacturing system can be implemented by utilizing the signal from the real time control units that is more operative than other old-fashioned control systems in the extent of modern industrial days. The software-based Distributed Control System (DCS) is novel fashionable than any other conventional control systems in the state-ofthe-art manufacturing developments. This research study emphasizes on the implementation of the DCS-based rice mill using visual The Industrial Ethernet (IE) is realized between the top level controller for the operator and the controlled station for the remote devices. The model of client-server approach is more appropriate for the automation and manufacturing research purposes. In this study, the computer graphical simulation of the complete control development is depicted in real-time status quo by visual C# language under Visual Studio 2008 software. The parallel ports in the computers of remote terminal level and the master terminal level controllers have been interconnected with port interface coding by visual C# program.


Distributed control system; Rice mill; C sharp; Real time simulation; Software development

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[1] Wang, L., Wei, H.Y., 2010. Development of a Distributed Control System for PLC-Based Applications. College of Electronic and Information Engineering, Hebei University.

[2] Bradley, J.C., Millspaugh, A.C., 2009. Programming in Visual C# 2008. Computer and Information Technology, http://www.

[3] Abolrous, S.A., 2008. Learn C#.

[4] Talamini, G., 1997. Operator Interface Design for Industrial Control. University of Queensland.

[5] Tsourveloudis, N., Ioannidis, S., Valavanis, K., 2006. Fuzzy Surplus Based Distributed Control of Manufacturing Systems, USA, APEM Journal. pp-5-12.

[6] Shivanand, M., Benal, M., Koti, V., 2006. Flexible Manufacturing System.

[7] Cole, E., Krutz, R., Connelly, J., 2005. The Network Security Bible. New York: John Wiley & Sons.

[8] Hugh, J., 2005. Automation Manufacturing Systems with PLCs. Person Education.

[9] Kamen, E.W., 1994. Introduction to Industrial Controls and manufacturing. School of Electrical and Computer Engineering Georgia Institute of Technology.

[10] Beum, H., 2004. Technology Update: Cyber Security Guidance-Interface Technologies. Control Engineering.

[11] Cyberscience Lab report, 2003. Introduction to Networking.

[12] Chen, L., Wang, Y.X., 2002. Design and Implementation of a Web-Based Distributed Control System. Dept. of Electrical & Computer Engineering, Unicersity of Calgary.

[13] Anonymous, 2002. “Distributed Control Systems” Chemical Engineering Department, King Saud University.

[14] Tun, H.M., 2008. Distributed Control System for Vehicle Spare Parts Manufacturing Plant. Real Time Graphical User Interface Monitoring and Networking System.

[15] Tun, H.M., Kyaw, M., Naing, Z.M., 2011. Development of process monitoring system in drilling process using fuzzy rules. International Journal of Systems Assurance. 2, 78-83. DOI:

[16] Tun, H.M., Naing, Z.M., Moe, W.K., et al., 2009. Software implementation for distributed monitoring control systems based industrial automation using visual studio. Net. Engineering e-Transaction. 4(1), 47-50.

[17] Tun, H.M., 2008. The future of Visual Basic. Net based simulation for industrial automation: Distributed control systems. AIP Conference Proceedings. American Institute of Physics. 1052(1), 216-219.



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