Smart Washing Machine


Çalmaz M. A., Avcu N.

2nd International Conference on Applied Engineering and Natural Sciences, Konya, Turkey, 10 - 13 March 2022, pp.485-488

  • Publication Type: Conference Paper / Full Text
  • City: Konya
  • Country: Turkey
  • Page Numbers: pp.485-488
  • Dokuz Eylül University Affiliated: Yes

Abstract

The washing machine is one of the important white goods in daily life. It prevents people to spend their time for doing laundry. Features including artificial intelligence such as choosing the optimum time and program according to the type and amount of the laundry help users to make decisions instead. In a conventional washing machine, the user has to make settings such as program selection, time, spin and temperature himself / herself. However, thistype of decisions can be made in smart machines automatically. Smart machine can obtain the information through different sensors and use this information to make the appropriate decision about the related operations. Smart washing machines offer many different features that make the user's job easier. In this study, it is aimed to obtain the most suitable washing time for a smart washing machine system with three inputs and one output by a fuzzy controller. The triangular membership method is used to fuzzify the inputs and the minimum inference engine is chosen to evaluate the predefined rules. The effects of different defuzzification methods on the washing time duration is examined. It is observed that designing a fuzzy controller with triangular membership function, minimum inference engine and center of gravity defuzzification can reach optimum time compared to other defuzzification methods.