‎Fuzzy Model of Smart Toilet Bowl-Bidet System

Transactions on Fuzzy Sets and Systems

مقاله 4، دوره 2، شماره 1، مرداد 2023، صفحه 44-60   

نوع مقاله: Original Article

شناسه دیجیتال (DOI): 10.30495/tfss.2022.1965746.1045

نویسنده

Yeesock Kim^*

Gordon and Jill Bourns College of Engineering, California Baptist University, Riverside CA, USA

چکیده

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 ($SF_6$) 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.

کلیدواژه‌ها

Fuzzy logic‎؛ ‎Toilet seat‎؛ ‎Bidet‎؛ ‎Indoor air quality‎

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