Water pollution poses a significant threat to both human and environmental health, as contaminated drinking water can lead to various diseases and disrupt ecosystems. Early detection is essential to prevent critical outcomes, and this can be achieved through continuous monitoring. The proposed system utilizes multiple sensors to measure water quality parameters such as pH, temperature, turbidity, and residual chlorine. These sensors collect data in real-time, which is then processed to assess water safety. To make the system userfriendly and efficient, LEDs are integrated to provide immediate visual feedback on water quality. This feature allows individuals to quickly determine whether the water is safe for consumption, reducing reliance on delayed traditional testing methods. The system is designed to be both cost-effective and easy to use, promoting broader public access and awareness. The importance of real-time monitoring is emphasized in the context of challenges such as climate change, limited water resources, and increasing population. Key parameters include pH (measuring acidity or alkalinity; safe range: 6.5–8.5), turbidity (indicating the presence of suspended particles, which can signal waterborne disease risk), and temperature (affecting water usability and microbial activity). Flow sensors monitor the rate of water movement. Traditional methods require manual sample collection and analysis, which is time-consuming. The proposed system streamlines this process with automated, real-time evaluation. This document further details related work, system architecture, circuit design, results, and potential future improvements.
Chimezie et al. (Fri,) studied this question.
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