Real-Time Water Quality Assessment via IoT: Monitoring pH, TDS, Temperature, and Turbidity

Abstract

Water quality monitoring is crucial for detecting changes in aquatic resources.Traditional methods, which typically involve in-situ sample retrieval followed by laboratory assessments, have been perceived as laborious and time-consuming.Herein, a state-of-theart, open-source framework is introduced, leveraging the potent synergy of the Internet of Things (IoT) and cloud computing for real-time water quality evaluations.Commercially accessible sensors were utilized for the instantaneous acquisition and interpretation of essential water quality parameters: pH, temperature, total dissolved solids (TDS), and turbidity.Accuracies of 98.54%, 96.85%, and 98.10% were obtained for temperature, pH, and TDS measurements, respectively, based on chosen accuracy metrics.The resilience of the proposed system was ascertained through a comprehensive study at the Troso River, Indonesia.During this evaluation, 4,833 data entries were amassed within a two-hour period.Outcomes from this research, elucidated in the subsequent sections, underscore the proficiency of the system in real-time water quality surveillance.This investigation augments the extant literature, underscoring the transformative role of cloud computing in facilitating instantaneous raw data collection for water quality assessment endeavors.