Remote-Controlled Affordable Solenoid Valve Design and a Web-Based Approach to Its Implementation

Yıl 2023, Cilt: 7 Sayı: 2, 206 - 212, 31.12.2023

Mahmut Durgun , Levent Gökrem

https://doi.org/10.47897/bilmes.1404670

Cited By: 2

Öz

Irrigating agricultural lands remotely using automated irrigation systems can mitigate water and energy wastage, reducing it to a minimum. This study aims to design an agricultural irrigation system that operates by remotely opening and closing solenoid valves. The envisioned solenoid valve comprises a wireless microcontroller, a power circuit, and a basic valve mechanism. The remote and automated irrigation system can monitor and receive commands for the connected solenoid valves through web services and a web interface. After every operation executed by the system, interfaces displaying the real-time status or historical operational states of the controlled solenoid valves are presented to the users. This system is orchestrated using a web server operating on a cloud server, serving as the system control center. Solenoid valves positioned at ten different points are integrated, facilitating real-time and programmable use based on user requests. The system uses a secured website, accessed via user passwords, as a communication interface to receive irrigation control requests. It offers the capability for multiple users to control the system simultaneously through the same interface. Ultimately, this research seeks to establish a secure, remote, and automated irrigation system based on the control and scheduling of low-cost solenoid valves via a web page.

Anahtar Kelimeler

Remote irrigation system, solenoid valve, wireless microcontroller, web services, energy efficiency, automated irrigation

Kaynakça

• [1] N. K. Arora, “Impact of climate change on agriculture production and its sustainable solutions,” Environ. Sustain., vol. 2, no. 2, pp. 95–96, 2019.
• [2] R. Biswas and R. Biswas, “Demographic Trends in Emerging Markets,” Emerg. Mark. Megatrends, pp. 1–21, 2018.
• [3] U. Mc Carthy, I. Uysal, R. Badia-Melis, S. Mercier, C. O’Donnell, and A. Ktenioudaki, “Global food security–Issues, challenges and technological solutions,” Trends Food Sci. Technol., vol. 77, pp. 11–20, 2018.
• [4] J. R. Rohr et al., “Emerging human infectious diseases and the links to global food production,” Nat. Sustain., vol. 2, no. 6, pp. 445–456, 2019.
• [5] M. A. Altieri and C. I. Nicholls, “The adaptation and mitigation potential of traditional agriculture in a changing climate,” Clim. Change, vol. 140, pp. 33–45, 2017.
• [6] M. Durgun, “An Acoustic Bird Repellent System Leveraging Edge Computing and Machine Learning Technologies,” in 2023 Innovations in Intelligent Systems and Applications Conference (ASYU), 2023, pp. 1–8.
• [7] L. Lipper, N. McCarthy, D. Zilberman, S. Asfaw, and G. Branca, Climate smart agriculture: building resilience to climate change. Springer Nature, 2017.
• [8] R. Koech and P. Langat, “Improving irrigation water use efficiency: A review of advances, challenges and opportunities in the Australian context,” Water, vol. 10, no. 12, p. 1771, 2018.
• [9] T. Dickey, “Smart water solutions for smart cities,” Smart cities Appl. Technol. Stand. Driv. factors, pp. 197–207, 2018.
• [10] S. Kumar, P. Tiwari, and M. Zymbler, “Internet of Things is a revolutionary approach for future technology enhancement: a review,” J. Big data, vol. 6, no. 1, pp. 1–21, 2019.
• [11] S. Aggarwal and A. Kumar, “A smart irrigation system to automate irrigation process using IOT and artificial neural network,” in 2019 2nd International Conference on Signal Processing and Communication (ICSPC), 2019, pp. 310–314.
• [12] M. Aliyu, G. Hassan, S. A. Said, M. U. Siddiqui, A. T. Alawami, and I. M. Elamin, “A review of solar-powered water pumping systems,” Renew. Sustain. Energy Rev., vol. 87, pp. 61–76, 2018.
• [13] Y. Durgun and İ. Karaman, “Web of Things Based User-Friendly Pulse Width Modulation Dimmable Intelligent Digital Led Driver,” in 2019 3rd International Conference on Advanced Information and Communications Technologies (AICT), 2019, pp. 311–313.
• [14] P. Pauwels, S. Zhang, and Y.-C. Lee, “Semantic web technologies in AEC industry: A literature overview,” Autom. Constr., vol. 73, pp. 145–165, 2017.