Comfort Sensor Using Fuzzy Logic and Arduino

Automation has become an important part of our life. It has been used to control home entertainment systems and household activities. One of the main parameters to control in a smart home is the atmospheric comfort. Atmospheric comfort mainly includes temperature and relative humidity. In homes, the desired temperature of different rooms varies from 20 to 25 °C and relative humidity is around 50 %. Hence, automated measurement of these parameters to ensure comfort assumes significance. To achieve this, a fuzzy logic controller using Arduino was developed using MATLAB. In the present work, soft sensor was introduced in this system that can indirectly measure temperature and humidity and can be used for processing several measurements. The Sugeno method was used in the soft sensor in MATLAB and then interfaced to the Arduino, which is again interfaced to the temperature and humidity sensor DHT11. The comfort sensor developed was able to measure temperature and relative humidity correctly. Depending on the comfort percentage, the air conditioners and the coolers in the room were controlled. The main highlight of the project is its cost efficiency.