Innovative Water Distribution Systems: Raspberry Pi-Based Adaptive Water Vending Solutions.

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2024 | Volume :11 | Issue : 03 | Page : 11-20
By
vector

Diya Gohil,

vector

Pinkesh Patel,

vector

Mitesh Limachia,

vector

Purvang Dalal,

  1. Student, Department of Electronics & Communication, Dharmsinh Desai University, Nadiad, Gujarat,, India
  2. Student, Department of Electronics & Communication, Dharmsinh Desai University, Nadiad, Gujarat,, India
  3. Associate Professor, Department of Electronics & Communication, Dharmsinh Desai University, Nadiad, Gujarat,, India
  4. Associate Professor, Department of Electronics & Communication, Dharmsinh Desai University, Nadiad, Gujarat,, India

Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_121351’);});Edit Abstract & Keyword

Technology has advanced to the point that many complex equipment and gadgets are now indispensable tools for humankind. Among these, automated vending machines have become a mainstay, simplified a variety of tasks and greatly increased productivity while reduced the need for human involvement. These devices, which have numerous inputs and outputs, can dispense snacks, cold beverages, coffee, tea, water, and more to meet the needs of a diverse clientele. The government of India’s “Rail Neer” project features specialised vending machines known as “Water Vending Machines,” which are widely present in railway stations, especially in India. These devices give clean and hygienic fluid, which improves public health and convenience for tourists. Within train grounds, the water vending machine effectively supplies inexpensive, clean drinking water. Its design is limited, though, in that each transaction results in the dispensing of a predetermined volume of water. When consumers insert water bottles that are partially filled or of different sizes, this causes problems. As a result, extra water that the vending machine dispenses in these circumstances can be wasted. To properly handle this problem, this study offers an adaptive algorithm that is built into the machine’s design. Our goal is to put in place a system that can scan the bottle and collect vital information about its weight and height. With the use of this data, we will be able to determine the ideal time for the machine to dispense water, resulting in effective use and reduced water waste. With Raspberry Pi 3 serving as its processor, the adaptive water vending machine prototype that is shown in this paper has been successfully developed.

Keywords: Raspberry Pi 3, Ultrasonic Sensor, Water Sensor, Load Cell, HX711, Solenoid Valve, Relay Circuit

[This article belongs to Journal of Microcontroller Engineering and Applications (jomea)]

How to cite this article:
Diya Gohil, Pinkesh Patel, Mitesh Limachia, Purvang Dalal. Innovative Water Distribution Systems: Raspberry Pi-Based Adaptive Water Vending Solutions.. Journal of Microcontroller Engineering and Applications. 2024; 11(03):11-20.
How to cite this URL:
Diya Gohil, Pinkesh Patel, Mitesh Limachia, Purvang Dalal. Innovative Water Distribution Systems: Raspberry Pi-Based Adaptive Water Vending Solutions.. Journal of Microcontroller Engineering and Applications. 2024; 11(03):11-20. Available from: https://journals.stmjournals.com/jomea/article=2024/view=0

Full Text PDF

References
document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_121351’);});Edit

  1. Wenshan, H. Yanqun and L. Minyang, “Influential Factors of Vending Machine Interface to Enhance the Interaction Performance,” 2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA), Nanchang, China, 2015, pp. 486-489, doi: 10.1109/ICICTA.2015.285.
  2. Navlakha Manish, Imran, Rathore Lokendra Singh, Sharma Lovekush. Water Vending Machine” International Journal of Engineering and Management, Research. 2017; 7(2): 581-584.
  3. S. P. H. Navarro, C. B. Carlos and C. M. F. Monteiro, “User Centered Design of an Autonomous Mobile Robot Vending Machine Concept,” 2016 International Conference on Autonomous Robot Systems and Competitions (ICARSC), Bragança, Portugal, 2016, pp. 259-264, doi: 10.1109/ICARSC.2016.67.
  4. Vaid, “Comparison of different attributes in modeling a FSM based vending machine in 2 different styles,” 2014 International Conference on Embedded Systems (ICES), Coimbatore, India, 2014, pp. 18-21, doi: 10.1109/EmbeddedSys.2014.6953042.
  5. Kim, D. -H. Park, H. Bang, G. Hong and S. -i. Jin, “Smart coffee vending machine using sensor and actuator networks,” 2014 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 2014, pp. 71-72, doi: 10.1109/ICCE.2014.6775913.
  6. Zalbide, E. D’Entremont, A. Jiménez, H. Solar, A. Beriain and R. Berenguer, “Battery-free wireless sensors for industrial applications based on UHF RFID technology,” SENSORS, 2014 IEEE, Valencia, Spain, 2014, pp. 1499-1502, doi: 10.1109/ICSENS.2014.6985299.
  7. Karthika, S. Jagadeesh, Kogili Sai Teja, Ashwin Karthick. SMART COMPUTERIZED VENDING MACHINE ENHANCED WITH IOT TECHNOLOGY. IJIRT. 2024; 5(10): 394-397”.
  8. Sasikala, G., Kuldipsing Rajput, Sarfaraj Hussain and Aastha Shrivastava. “Real Time Embedded Based Drinking water vending machine,” Asian Journal of Science and Technology. December 2014; 5(12): 804-809..
  9. Ratnasri, N. ., & Sharmilan, T. . (2021). Vending Machine Technologies: A Review Article. International Journal of Sciences: Basic and Applied Research (IJSBAR), 58(2), 160–166. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/12579
  10. Shubham Thete, Aditya Titare, Siddhesh Vanikar, Prof. Ganesh Madhikar. Smart Vending Machine System Using IOT. International Research Journal of Engineering and Technology. Jan 2024; 11(1): 530-534.
  11. Sarvesh Pandey, Mrs. Manjiri. M.Gogate. IOT BASED SMART AUTOMATIC JUICE VENDING MACHINE. International Research Journal of Engineering and Technology. Nov 2019; 6(11): 171-176.
  12. DT Wiyanti, MN Alim. Automated vending machine with IoT infrastructure for smart factory application. Journal of Physics: Conference Series, Volume 1567, 6th International Conference on Mathematics, Science, and Education (ICMSE 2019) 9-10 October 2019, Semarang, Indonesia. DOI 10.1088/1742-6596/1567/3/032038
  13. Rakshith, N. ““Design and Fabrication of Coin Operated Portable Water Vending Machine.,” 2016-2017”. ATMECE. Dissertation Thesis. http://118.151.209.133:8080/jspui/bitstream/1/759/1/Design%20and%20Fabrication%20of%20Coin%20Operated%20Portable%20Water%20Vending%20Machine.pdf

Regular Issue Subscription Original Research
Volume 11
Issue 03
Received 03/09/2024
Accepted 25/09/2024
Published 25/11/2024