Fuzzy Model of Smart Toilet Bowl-Bidet System
الموضوعات : Transactions on Fuzzy Sets and Systems
1 - Gordon and Jill Bourns College of Engineering, California Baptist University, Riverside CA, USA.
الکلمات المفتاحية: Fuzzy logic, Toilet seat, Bidet, Indoor air quality,
ملخص المقالة :
This paper proposes an application of a Takagi-Sugeno fuzzy model to the prediction of complex mass transfer behavior in smart toilet bidet systems. The model is constructed through the integration of fuzzy logic theory, nonlinear autoregressive moving average exogenous input models, neural networks, and data clustering algorithms. To develop the model for estimating the air quality of the smart toilet-bidet system, many datasets are collected from a smart toilet bidet model equipped with an automatic odor/bacteria suction system using Sulfur hexafluoride (SF6) gas. Many case studies were carried out as a function of the suction flow rate, suction angle, the number of suction holes, and suction hole size. The inputs for training the fuzzy model are the size, number, and angles of suction holes, whereas its output is the undesirable gas concentration. The trained fuzzy model is tested using different datasets. Modeling and testing results show the effectiveness of the fuzzy model in predicting the gas concentration of the toilet bowl. The proposed fuzzy model is expected to be useful in the implementation of smart toilet bowl systems in the near future.
[1] ASHRAE et al., 2005 ASHRAE Handbook: Fundamentals, American Society of Heating Refrigerating Air-Conditioning (ASHRAE) Inc., Atlanta, (2005).
[2] N. D. Bennett, B. F. W. Croke, G. Guariso, J. H. A. Guillaume, S. H. Hamilton, A. J. Jakeman, S. Marsili-Libelli, L. T. H. Newham, J. P. Norton, C. Perrin, S. A. Pierce, B. Robson, R. Seppelt, A. A. Voinov, B. D. Fath and V. Andreassian, Characterising performance of environmental models, Environmental Modelling and Software, 40 (2013), 1-20.
[3] E. L. Best, J. A. T. Sandoe and M. H. Wilcox, Potential for aerosolization of Clostridium difficile after ushing toilets: the role of toilet lids in reducing environmental contamination risk, Journal of Hospital Infection, 80(1) (2012), 1-5.
[4] D. Bourgeois, A. Potvin and F. Haghighat, Hybrid Ventilation of Canadian Non-domestic Buildings: A Procedure for Assessing IAQ, Comfort and Energy Conservation in RoomVent, Proceedings of Roomvent 2000, Elsevier, July 9-12, Oxford, UK, (2000), 761-766.
[5] K. C. Chung, C. M. Chiang and W. A. Wang, Predicting contaminant particle distributions to evaluate the environment of lavatories with oor exhaust ventilation, Building and Environment, 32(2) (1997), 149-159.
[6] F. M. P. Fabian, S. L. Miller, T. Reponen and M. T. Hernandez, Ambient bioaerosol indices for indoor air quality assessments of ood reclamation, Journal of Aerosol Science, 36(5-6) (2005), 763-783.
[7] E. Heseltine and J. Rosen, WHO guidelines for indoor air quality: dampness and mould, World Health Organization, WhO, Copenhagen, Denmark, (2009).
[8] F. A. J. Jakeman, R. A. Letcher and J. P. Norton, Ten iterative steps in development and evaluation of environmental models, Environmental Modelling and Software, 21(5) (2006), 602-614.
[9] Y. Kim, S. Hurlebaus and R. Langari, Fuzzy identi cation of building-MR damper system, Journal of Intelligent and Fuzzy Systems, 22 (2011), 185-205.
[10] Y. Seo and I. S. Park, Study for ow and mass transfer in toilet bowl by using toilet seat adopting odor/bacteria suction feature, Building and Environment, 67 (2013), 46-55.
[11] G. K. Tai, G. Sze, J. Sng, B. T. Yin, T. C. Chuan, L. M. Hoe, O. T. Huat, F. S. Cheng, T. K. Wai, W. G. Yu, O. P. Lim, Guidelines for Good Indoor Air Quality in Office Premises, Institute of Environmental Epidemiology Ministry of the Environment, Singapore, (1996).
[12] T. Takagi and M. Sugeno, Fuzzy identi cation of systems and its applications to modeling and controle, IEEE Transactions on Systems, Man, and Cybernetics, 15 (1985), 116-132.
[13] K. Tanaka and M. Sano, A robust stabilization problem of fuzzy control systems and its application to backing up control of a truck-trailer, IEEE Transactions on Fuzzy Systems, 2 (1994), 119-134.
[14] Y. C. Tung, S.C. Hu and Tung-Yi Tsai, In uence of bathroom ventilation rates and toilet location on odor removal, Building and Environment , 44(9) (2009), 1810-1817.
[15] H. O. Wang, K. Tanaka and M. F. Griffin, An approach to fuzzy control of nonlinear systems: stability and design issues, IEEE Transactions on Fuzzy Systems, 4 (1996), 14-23.
[16] C. W. F. Yu and J. T. Kim, Building Environmental Assessment Schemes for Rating of IAQ in Sustainable Buildings, Indoor and Built Environment, 20(1) (2011), 5-15.
