Fuzzy expert system design for operating room air-condition control systems

ABSTRACT

In this study, a controlled fuzzy expert system (FES) was designed to provide the conditions necessary for operating rooms. For this purpose, real operating rooms have been studied to see if there are more useful, reliable and comfortable ones. How a operating room can be controlled with FES and its advantages and disadvantages have also been researched. For a theoretically visible FES to show system's advantage a prototype operating room was built and a suitable configuration was designed. In this system, heat, particle, humidity and oxygen are used as input parameters, and fresh air entrance and the fan circulation are chosen as output parameters. With the help of an expert, appropriate language expressions and the membership function of these expressions were defined. The sensors were classified and sensor information was transferred to computer by means of an interface designed. To transfer the data to the system simultaneously, an interface was written in C#. Whether it provides the most suitable control for the system prototype was determined by simulating the operation with varying number of personnel and duration of time. In these trials, input, output and the other necessary parameters were saved in the computer.

Consequently, in this study we obtained very good results in prototype operating room control with FES. The results of analyses carried out indicated that the controls performed with FES provide more economical, comfortable, reliable and consistent controls and that they are feasible in real operating rooms.

REFERENCES

• 1: Allahverdi N, "Expert Systems, An Application of Artificial Intelligent", Atlas Press, Istanbul, 2002.
• 2: Lefteri H. Tsoukalas , Robert E. Uhrig, Fuzzy and Neural Approaches in Engineering, John Wiley & Sons, Inc., New York, NY, 1996
• 3: Wakami N, Araki S, Nomura H, "Recent Applications of Fuzzy Logic to Home Appliances", Proceedings of the IECON '93. International Conference on, 15--19 Nov. 1993, vol.1, pp. 155--160, 1993.
• 4: Occhipinti, L, Nunnari, G, "Synthesis of a greenhouse climate controller using AI-based techniques" Electrotechnical Conference, 1996. MELECON '96, 8th Mediterranean Volume 1, 13--16, vol. 1, pp 230--233, 1996.
• 5: Caponetto, R, Fortuna, L, Nunnari, G, Occhipinti, L, "A fuzzy approach to greenhouse climate control" American Control Conference, Proceedings of the 1998, vol.3, pp.1866--1870, 1998.
• 6: Pan Lanfang, Wang Wanliang, Wu Qidi, "Application of adaptive fuzzy logic system to model for greenhouse climate" Intelligent Control and Automation, Proceedings of the 3rd World Congress on vol. 3, pp. 1687--1691, 2000.
• 7: Kuntze, H.-B, Bernard, Th, "A new fuzzy-based supervisory control concept for the demand-responsive optimization of HVAC control systems" Decision and Control, Proceedings of the 37th IEEE Conference on, vol. 4, pp. 4258--4263, 1998.
• 8: Saritas I., Taskiran U., Unal Y., "Conrol of heat of operating room by approach of fuzzy method", 4th International Advanced Technology Symposium, vol. 1, pp. 117--121, 2005.
• 9: Saritaş, I., "Fuzzy Control of Medical Area", Master Thesis, Selcuk University, Konya, Turkey, 2003.
• 10: Orchard, B., "Fuzzy Sets", http://www.iit.nrc.ca/IR public/fuzzy/fuzzyJDocs/FuzzySet.html, Accessed April 2006.
• 11: Agarwal, S., Joshi, A., Finin, T. and Yesha, Y., "A Pervasive Computing System for the Operating Room of the Future", http://ebiquity.umbc.edu/get/a/publication/328.pdf, Accessed April 2006.
• 12: Casas, F., A. Orozcob, W. A. Smitha, J. A. De Abreu-Garcíab, J. Durkin, "A fuzzy system cardio pulmonary bypass rotary blood pump controller", Expert Systems with Applications 26, pp. 357--361, 2004.
• 13: Malpica-Romero A. D, Assad G. D, "Fuzzy environmental control of surgical rooms in hospitals" NAFIPS/ IFIS/ NASA '94. Proceedings of the First International Joint Conference of the North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technolo, 1994.
• 14: Peker, T., "Standard, statutes of operating rooms, http://www.mmoistanbul.org/yayin/tesisat/73/7, Accessed Appril 2007.
• 15: Güven K. O., "Hygienic air-conditioning in operating room", Congress of VI. National Installation Engineering, Istanbul, Turkey, 2003.
• 16: Isisan, www.isisan.com/pdf/isitma_tesisati_pdf/Bolum_06.pdf, Accessed October 2005.
• 17: Tetisan, www.tetisan.com/temsistem.html, Accessed April 2007.

INDEX TERMS

Keywords:
adaptive fuzzy control, fuzzy control systems, operating room control