Citation

Yap, Wen Xuan and Ali, Nur Hasanah (2025) IoT-Based Smart Water Management System for Efficient Consumption and Conservation. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya, Malaysia.

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Abstract

Effective water resource management is essential for sustainability, requiring the integration of smart technologies to optimize efficiency and prevent water wastage. This study presents the design and implementation of a Smart Water Management System (SWMS) that leverages Internet of Things (IoT) technology and automated sensor-based control to address issues such as water overflow and dry-run conditions. The system employs ultrasonic sensors for real-time water level monitoring, an Arduino-based microcontroller for automated pump control, and an I2C LCD display for continuous status updates. Additionally, IoT functionality via the Blynk platform enables remote monitoring and system control, enhancing user accessibility and convenience. The methodology involved realtime water level acquisition through ultrasonic sensors, processed by the Arduino microcontroller, which dynamically regulates the water pump via a relay module. Abnormal conditions trigger an alert mechanism using an audio-visual buzzer system. Experimental validation demonstrated high accuracy in water level measurements with minimal error margins, ensuring precise threshold-based pump activation. The remote access capability provided by the Blynk app allowed seamless system control, enabling users to monitor and manage water usage from any location with internet connectivity. The SWMS successfully achieved its objectives, offering a robust, automated, and scalable solution for water conservation and efficient resource utilization. Future enhancements may include advanced sensor calibration n, AI-driven predictive analytics for optimized pump scheduling, extended connectivity features, and seamless integration with smart home automation systems. This research underscores the potential of IoT-enabled solutions in transforming water management practices, promoting sustainability, and contributing to the development of smart infrastructure. Experimental validation demonstrated high accuracy in water level measurements with minimal error margins, ensuring precise threshold-based pump activation. Quantitative results showed an average measurement error of only ±0.13 cm across five trials, with consistent pump response within the 10–13 cm threshold range. The remote access capability provided by the Blynk app allowed seamless system control, enabling users to monitor and manage water usage from any location with internet connectivity.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Internet of Things (IoT)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	18 Mar 2026 08:31
Last Modified:	19 Mar 2026 03:10
URII:	http://shdl.mmu.edu.my/id/eprint/15601

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