Design and Development of an Embedded System for Monitoring Water Quality

Water is one of the most pivotal fundamental resources for the existence of life, and remains vulnerable to contamination, posing a significant threat to global health. Approximately 3.5 million lives die annually due to polluted water. In this work, precise and reliable measurement techniques uses for leveraging the Internet of Things (IoT) to monitor water quality research endeavors to construct an intelligent embedded system dedicated to real-time water quality assessment. A wide range of sensors, including temperature, turbidity, pH, and total dissolved solids (TDS), are smoothly integrated into the system. These sensors operate harmoniously and capture critical data from various water sources. The obtained sensor data were stored meticulously in a robust database to facilitate subsequent analysis. The rigorous calibration processes validated the accuracy and reliability of these sensors across diverse water samples. Users gain convenient access to water quality metrics through an intuitive interface that is accessible through personal computers (PC) and mobile devices. The transformative power of IoT emerges as sustainability efforts and water management practices evolve. By harnessing IoT’s capabilities, we propel water quality assessment to new heights, safeguarding lives and fostering a healthier and more resilient planet.