Abstract
The aim of this work is to develop an Internet and fuzzy based control and data acquisition system for an industrial process plant which can ensure remote running and fuzzy control of a cement factory. Cases studies of the proposed system application in three cement factories in Algeria, SCAEK (Setif), SCIMAT (Batna), and SCT (Tebessa), are discussed. The remote process control consists of alarms generated during running of the processes while maintaining and synchronizing different regulation loops thus ensuring automatic running of processes smoothly. In addition, fuzzy control of the kiln and the other two mills ensures that the system is operational at all times with minimal downtime. The process control system contains different operator station (OP), alarms table and a provision to monitor trends analysis. The operator can execute any operation according to his authorised access assigned by the system administrator using user administration tool. The Internet technology is used for human security by avoiding all times presence of operators at site for maintenance. Further, in case of a breakdown, the problem would be remotely diagnosed and resolved avoiding requirement of an expert on site thus eliminating traveling cost, security risks, visa formalities, etc. These trips are difficult to organize (costs, visas, risks). So the enterprise can reduce downtimes and travel costs. In order to realize a process control system guided by operators in the main control room or through Internet, the process control is based on programming in PCS 7 utilizing Cemat library and Fuzzy Control++ Siemens tools.
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References
L. Zadeh. The concept of a linguistic variable and its application to approximate reasoning-I. Information Sciences, vol 8, no. 3, pp. 199–249, 1975.
The Global Cement Directory. Publication of the Global Cement Directory 2014, [Online], Available: http://www.globalcement.com/magazine/articles/822-top-75-globalcementcompany, April, 2015.
SCIMAT, 2014, [Online], Available: http://www.scimat.dz, July, 2015.
M. Sha Sadeghi, N. Vafamand, More relaxed stability conditions for fuzzy TS control systems by optimal determination of membership function information. Journal of Control Engineering and Applied Informatics, vol 16, no. 2, pp. 67–77, 2014.
H. Khebbache, M. Tadjine, Robust fuzzy back-stepping sliding mode controller for a quad-rotor unmanned aerial vehicle. Control Engineering and Applied Informatics, vol 15, no. 2, pp. 3–11, 2013.
C. Latrach, M. Kchaou, A. Rabhi, A. El Hajjaji. Decentralized networked control system design using Takagi-Sugeno (TS) fuzzy approach. International Journal of Automation and Computing, vol. 12, no. 2, pp. 125–133, 2015.
T. Takagi, M. Sugeno, Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems, Man and Cybernetics, vol 15, no. 1, pp. 116–132, doi: 10.1109/TSMC.1985.6313399, 1985.
F. L. Smidth Automation. Process Expert Monitor, User manual, Danemark, 1998.
F. L. Smidth Automation. ECS/ProcessExpert-Kiln, Danemark, 2007.
R. M. Parkin, C. A. Czarnecki, R. Safaric, D. W. Calkin. A PID servo control system experiment conducted remotely via Internet. Mechatronics, vol. 12, no. 6, pp. 833–843, 2002.
S. H. Yang, X. Chen, J. L. Alty, Design issues and implementation of internet-based process control systems. Control Engineering Practice, vol 11, no. 6, pp. 709–720, 2003.
H. A. Thompson, Wireless and Internet communications technologies for monitoring and control. Control Engineering Practice, vol 12, no. 6, pp. 781–791, 2004.
C. C. Hua, Y. Zheng, X. P. Guan, Modeling and control for wireless networked control system. International Journal of Automation and Computing, vol 8, no. 3, pp. 357–363, 2011.
B. Qiu, H. B. Gooi. Web-based SCADA display systems (WSDS) for access via internet. IEEE Transactions on Power Systems, vol. 15, no. 2, pp. 681–686, 2000.
W. F. Chang, Y. C. Wu, C. W. Chiu. Development of a web-based remote load supervision and control system. International Journal of Electrical Power and Energy Systems, vol. 28, no. 6, pp. 401–407, 2006.
M. Dominguez, J. J. Fuertes, P. Reguera, I. Diaz, A. A. Cuadrado. Internet-based remote supervision of industrial processes using self-organizing maps. Engineering Applications of Artificial Intelligence, vol. 20, no. 6, pp. 757–765, 2007.
C. SSahin, E. D. Bolat, Development of remote control and monitoring of web-based distributed OPC system. Computer Standards and Interfaces, vol 31, no. 5, pp. 984–993, 2009.
Y. Q. Xia, Y. L. Gao, L. P. Yan, M. Y. Fu, Recent progress in networked control systems: A survey. International Journal of Automation and Computing, vol 12, no. 4, pp. 343–367, 2015.
A. Rogowski. Web-based remote voice control of robotized cells. Robotics and Computer-Integrated Manufacturing, vol. 29, no. 4, pp. 77–89, 2013.
I. Yabanova, S. Taskin, H. Ekiz, Development of remote monitoring and control system for mechatronics engineering practice: The case of flexible manufacturing system. International Journal of Electrical Engineering Education, vol 52, no. 3, pp. 264–275, doi: 10.1177/0020720915586421, 2015.
W. J. Li, S. C. Tung, S. M. Huang. Web-based supervisory control system based on raspberry Pi. Applied Mechanics and Materials, vol. 764–765, pp. 640–643, 2015.
Apizee. IzeeDiag Remote diagnostic solution for your enterprise 2014, [Online], Available: http: //apizee. com / izeediag/, April, 2015.
M. J. Tippett, J. Bao, Distributed control of chemical process networks. International Journal of Automation and Computing, vol 12, no. 4, pp. 368–381, 2015.
H. Zermane. L. H. Mouss, S. Benaicha, Development of a fuzzy expert system based on PCS7 and FuzzyControl++. Electronic Systems, vol 1, no. 1, pp. 18–32, 2012.
H. Zermane, L. H. Mouss, S. Benaicha. Development of a fuzzy expert system based on PCS7 and FuzzyControl++ for a cement mill control. In Proceedings of the International Conference on Informatics and Applications, University Sultan Zainal Abidin, Kuala Terengganu, Malaysia, pp. 71–76, 2012.
S. Benaicha, L. H. Mouss, H. Zermane. Development of an industrial application with neuro-fuzzy systems. In Proceedings of IEEE First Conference on Control, Decision and Information Technologies, IEEE, Hammamet, Tunisia, pp. 495–500, 2013.
A. G. Siemens. FuzzyControl++ Version 6.0, SIMATIC Add on, Manual, Siemens AG, Germany, 2008.
A. G. Siemens. SIMATIC Net, SCALANCE S and SOFTNET Security Client Operating Instructions, C79000-G8976-C196–07, Germany, 2011.
A. G. Siemens. Secure network segmentation with the Automation Firewall security package, Germany, 2012, [Online], Available: http://www.siemens.com/industrialsecurity, August, 2015.
Acknowledgement
Hanane Zermane would like to take this opportunity to express her profound gratitude and deep regard for professor H. Mouss, for her exemplary guidance, valuable feedback and constant encouragement throughout the duration of the project. Her valuable suggestions were of immense help throughout my project work. Her perceptive criticism kept me working to conduct this project in a much better way. Working under professor H. Mouss was an extremely knowledgeable experience for her.
This project would have been impossible without the support of the operators of cement factories, SCIMAT, SCAEK. The authors would also like to give their sincere gratitude to all the friends and colleagues who filled in the survey, without which this research would be incomplete.
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Hanane Zermane received the B. Sc. degree in computer science from University of Batna, Algeria in 2003 and 2011. She is currently a Ph. D. degree candidate in industrial engineering in University of Batna, Algeria. She has published journal and conference papers.
Her research interests include manufacturing, simulation, manufacturing, automation, process control, fuzzy logic and expert systems.
Hayet Mouss received the B. Sc. degree in electrical engineering from the National Polytechnic School of Algiers, Algeria in 1979, the M. Sc. degree in electrical and computer engineering from the ENSERB, France in 1982, and the Ph.D. degree in electrical and computer engineering, Bordeaux University, France in 1985. After graduation, she joined the University of Batna, Algeria, where she is an associate professor of electrical and computer engineering. She is a member of New York Science Academy. She is the head of Automatic and Computer Integrated Manufacturing Laboratory.
Her research interests include industrial diagnosis of production system using the artificial intelligence techniques.
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Zermane, H., Mouss, H. Development of an internet and fuzzy based control system of manufacturing process. Int. J. Autom. Comput. 14, 706–718 (2017). https://doi.org/10.1007/s11633-016-1027-x
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DOI: https://doi.org/10.1007/s11633-016-1027-x