Abstract
Smart water management systems (SWMS) leverage engineering innovations, such as IoT sensors, machine learning algorithms, and real-time monitoring, to improve water conservation and distribution efficiency. The traditional water systems, characterized by high water wastage (30%) and substantial leakage (15%), are being increasingly replaced by smarter systems that utilize IoT sensors, automated valves, and data analytics to reduce wastage, improve reliability, and increase system efficiency. In a comparison of water usage efficiency, smart systems exhibit a 40% reduction in average daily water usage, from 500,000 liters to 300,000 liters. Water leakage is reduced from 15% to 5%, and water wastage due to improper distribution decreases from 30% to 10%. Consumer satisfaction also improves, with complaints decreasing and system response times dropping from 24 hours to 2 hours. IoT sensors, such as pressure and flow rate sensors, offer high accuracy and low power consumption, ensuring reliable data transmission and energy efficiency, with a mean transmission frequency of 10-15 minutes and power consumption as low as 8 mW. Cost analysis indicates a higher initial setup cost for smart systems (₦150 million) compared to traditional ones (₦100 million), but the reduction in annual maintenance (₦2 million vs. ₦5 million) and operational costs (40% reduction) make smart systems more cost-effective over time. Energy consumption is reduced by 16%, with solar-powered IoT sensors contributing to a decrease in carbon footprint by 60%. Regression and statistical analyses confirm that water pressure uniformity, leak detection time, and daily water demand significantly influence water loss, while machine learning optimization leads to an 18% improvement in water distribution efficiency. A correlation model was developed to assess the relationship between key parameters: the correlation coefficient between leak detection time and water wastage is found to be 0.85, indicating a strong positive correlation. Similarly, the correlation between pressure uniformity and system efficiency shows a value of 0.92, reflecting a strong positive relationship. These innovations collectively represent a transformative shift toward sustainable and efficient water management.
Cite
CITATION STYLE
Olodu, D. D., Inegbedion, F., & Ihenyen, O. I. (2025). Smart Water Management Systems: Engineering Innovations for Water Conservation and Distribution. Journal of Studies in Advanced Technologies, 3(1), 13–31. https://doi.org/10.63063/jsat.1613583
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