| Summary: | 碩士 === 國立臺灣科技大學 === 電機工程系 === 103 === In recent years , people gradually pay attention to the quality of home life,Smart Home have been frequently discussed in the last decade , the universality and using rate of the mobile devices have been increased , which leads many commercial investing in it. The intelligent control of home appliance is one of the most popular tepies in relative fields. Because people will feel the temperature all the time, so the air-conditioning control becomes very important.
For users, in different seasons, different time to start air-conditioned, the desired temperature are different. But when users start air conditioning, they must enter the temperature manually, it is too cumbersome. And sometimes users does not know what the temperature is comfortable for them. In order to improve this problem, this thesis proposed a self-learning method to determine comfortable temperature for temperature control appliance by recording and analysing the value set by user.
The method by learning and correcting again and again, temperature control appliance could recognize the user's habits more and more precisely as the time goes by. The simulation results in the end of this thesis has shown the effect of method is according with our expectation.
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