DESIGN AND IMPLEMENTATION OF AN IOT-BASED AUTOMATIC WATER PUMP CONTROL SYSTEM FOR RESIDENTIAL APPLICATIONS
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Abstract
Inadequate water pressure and inefficient energy utilization remain critical challenges in residential plumbing, especially in densely populated housing complexes during peak demand intervals. Conventional water pumps react directly to pressure fluctuations, leading to frequent cycling, energy inefficiency, and diminished equipment lifetimes. This paper presents an IoT-based control system for household water pumps, incorporating an ESP32 microcontroller, a pressure transducer transmitter (PTT) sensor, and an ultrasonic water level sensor to tackle these difficulties. The system functions in automated and manual modes using the Blynk mobile application, controlling electric ball valve and water pump operations according to real-time data and user-specified thresholds. A case study involving a single residence validated the system's efficacy in sustaining consistent water pressure, surpassing 12.0 psi, with an average of 19.4 psi and a maximum of 23.4 psi. The PTT sensor exhibited a relative error of less than 1.7%, remaining within the ±2% accuracy threshold. Furthermore, the system diminished electrical consumption by 31.4% relative to traditional functioning. The results underscore the system's potential to enhance energy economy, operational dependability, and remote control capabilities as well as facilitate its incorporation into intelligent and sustainable home water management.
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References
Abdelsalam, A. A., & Gabbar, H. A. v(2021). vEnergy saving and management of water pumping networks. Heliyon, 7(8), e07820.
Akhund, T. M. N. U., Newaz, N. T., Zaman, Z., Sultana, A., Barros, A., & Whaiduzzaman, M. (2022). Iot-based low-cost automated irrigation system for smart farming. Intelligent Sustainable Systems: Selected Papers of WorldS4 2021, Volume 1 (pp. 83-91). Singapore: Springer Nature Singapore.
Ancheta, M. A., Shrestha, S., Koottatep, T., & Shanmugam, M. (2025). Resilience assessment methodology of urban water supply and sanitation systems integrating climate change and extreme events: a case study in Bangkok, Thailand. AQUA—Water Infrastructure, Ecosystems and Society, 74(6), 405-421.
Babel, M. S., Shrestha, A., Anusart, K., & Shinde, V. (2021). Evaluating the potential for conserving water and energy in the water supply system of Bangkok. Sustainable Cities and Society, 69, 102857.
Bouali, E. T., Abid, M. R., Boufounas, E. M., Hamed, T. A., & Benhaddou, D. (2021). Renewable energy integration into cloud & IoT-based smart agriculture. IEEE access, 10, 1175-1191.
Hahm, S.I., Kim, J., Jeong, A., Yi, H., Chang, S., Kishore, S.N., Chauhan, A. & Cherian, S.P. (2020). Reliable real-time operating system for IoT devices. IEEE Internet of Things Journal, 8(5), 3705-3716.
Ismail, S., Dawoud, D. W., Ismail, N., Marsh, R., & Alshami, A. S. (2022). IoT-based water management systems: survey and future research direction. IEEE Access, 10, 35942-35952.
Isminarti, I. (2023). Automatic water level controlling and monitoring system using IoT application. International Journal of Artificial Intelligence Research, 7(2).
Kumari, A., Tanwar, S., Tyagi, S., Kumar, N., Obaidat, M. S., & Rodrigues, J. J. (2019). Fog computing for smart grid systems in the 5G environment: Challenges and solutions. IEEE Wireless Communications, 26(3), 47-53.
Tangworachai, S., Wong, W. K., & Lo, F. Y. (2023). Determinants of water consumption in Thailand: sustainable development of water resources. Studies in Economics and Finance, 40(5), 950-970.
Tran, D. T., Le, H. S., & Huh, J. H. (2023). Building an automatic irrigation fertilization system for smart farm in greenhouse. IEEE Transactions on Consumer Electronics, 70(2), 4685–4698.
