Smart Water Management System in a State University in the Philippines: Challenges and Opportunities
DOI:
https://doi.org/10.70469/labsreview.v1i2.23Keywords:
Smart Water Management Systems (SWMS), IoT and Machine Learning, Sustainability in Education InstitutionsAbstract
This study explores the implementation of a Smart Water Management System (SWMS) in a state university in the Philippines to address water resource challenges amid growing student enrollment and infrastructure expansion. Utilizing IoT sensors, data analytics, and machine learning, the proposed SWMS aims to optimize water consumption, detect leaks, and improve overall efficiency. The system integrates real-time monitoring, predictive maintenance, and demand forecasting to enhance sustainability efforts and reduce costs. Key components include smart meters, automated valves, and cloud-based analytics for proactive water management. Despite financial, technical, and institutional challenges, the study highlights the potential benefits of SWMS, including significant water conservation, cost savings, and educational opportunities. Case studies from other universities, such as the University of California, National University of Singapore, and Arizona State University, demonstrate the effectiveness of smart water solutions in academic settings. The research underscores the critical role of technology in sustainable resource management and advocates for the integration of SWMS as a model for other educational institutions. By leveraging data-driven insights, the institution can improve water efficiency, support environmental initiatives, and serve as a leader in smart campus infrastructure.
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