Internet Controlled Smart Tea Machine Design with Arduino and Tea Consumption Analysis
Öz
In this application study, a device that put the data on the tea brewed using the smart tea maker on the internet employing the Arduino development board has been developed. Furthermore, a web interface that analyzes the data collected and informs the user has also been developed. The device comprises the sensors located on the teapot and water boiler chamber and the Arduino Mega development board with a WI-FI module that controls these sensors. The sensors receive data on the amount and temperature of tea and water and the brewing process. In the web interface, the data collected from the device is recorded on the SQL Server database. Analyzing the data, the amount of tea consumed in the establishment (daily, weekly, monthly), the time periods when tea consumption peaks within the day and the amount of left-over tea are reported. Besides that, the estimated brewing process is displayed to the user via the interface. Implementing this study, it is planned to facilitate the estimation of the performance range by analyzing values and time periods of tea consumption of the personnel in the establishment. This will also contribute to the reduction of tea consumption expenses in the establishment.
Anahtar Kelimeler
Kaynakça
- Al-Busaidi, A. M. (2012). Development of an educational environment for online control of a biped robot using MATLAB and Arduino. 2012 9th France-Japan & 7th Europe-Asia Congress on Mechatronics (MECATRONICS) / 13th Int’l Workshop on Research and Education in Mechatronics (REM), 337–344. https://doi.org/10.1109/MECATRONICS.2012.6451030
- Balogh, R., & Balogh, R. (2016). Educational Robotic Platform based on Arduino Educational Robotic Platform based on Arduino, (September), 2–6.
- Bin Bahrudin, M. S., Kassim, R. A., & Buniyamin, N. (2013). Development of Fire alarm system using Raspberry Pi and Arduino Uno. 2013 International Conference on Electrical, Electronics and System Engineering, ICEESE 2013, 43–48. https://doi.org/10.1109/ICEESE.2013.6895040
- Mastorakis, G., & Makris, D. (2014). Fall detection system using Kinect’s infrared sensor. Journal of Real-Time Image Processing, 9(4), 635-646.
- Taşdelen, K., & Şimşek, M. A. (2016). Arduino Ile Tasarlanmiş Sistemlerin Internet Tabanli Kontrolü Ve Izlenmesi. SDU International Journal of Technological Science, 8(1).
- Thaker, T. (2016, March). ESP8266 based implementation of wireless sensor network with Linux based web-server. In Colossal Data Analysis and Networking (CDAN), Symposium on(pp. 1-5). IEEE.
- Van Dyck, E., Moelants, D., Demey, M., Deweppe, A., Coussement, P., & Leman, M. (2013). The Impact of the Bass Drum on Human Dance Movement. Music Perception: An Interdisciplinary Journal, 30(4), 349–359. https://doi.org/10.1525/mp.2013.30.4.349
- Zachariadou, K., Yiasemides, K., & Trougkakos, N. (2012). A low-cost computer-controlled Arduino-based educational laboratory system for teaching the fundamentals of photovoltaic cells. European Journal of Physics, 33(6), 1599–1610. https://doi.org/10.1088/0143-0807/33/6/1599
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Kıyas Kayaalp
0000-0002-6483-1124
Türkiye
Yayımlanma Tarihi
1 Aralık 2018
Gönderilme Tarihi
22 Kasım 2018
Kabul Tarihi
26 Kasım 2018
Yayımlandığı Sayı
Yıl 2018 Cilt: 1 Sayı: 1
