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Internet Controlled Smart Tea Machine Design with Arduino and Tea Consumption Analysis

Year 2018, Volume: 1 Issue: 1, 29 - 37, 01.12.2018

Abstract



 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.

References

  • 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).
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  • 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
Year 2018, Volume: 1 Issue: 1, 29 - 37, 01.12.2018

Abstract

References

  • 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
There are 8 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Kıyas Kayaalp 0000-0002-6483-1124

Osman Ceylan 0000-0002-6060-0134

Ahmet Ali Süzen 0000-0002-5871-1652

Ziya Yıldız 0000-0001-6057-3669

Publication Date December 1, 2018
Acceptance Date November 26, 2018
Published in Issue Year 2018 Volume: 1 Issue: 1

Cite

APA Kayaalp, K., Ceylan, O., Süzen, A. A., Yıldız, Z. (2018). Internet Controlled Smart Tea Machine Design with Arduino and Tea Consumption Analysis. Uluborlu Mesleki Bilimler Dergisi, 1(1), 29-37.

Uluborlu Journal of Vocational Sciences