Design and fabrication of a smart water quality monitoring system to test the quality of RO water in comparison with experimental analysis

Using sensors to track and analyse water quality, this study intends to create a new smart water quality monitoring (SWQM) system. Procedures and Materials. The study included a total of forty water samples, with twenty samples assigned to the experimental group and twenty samples to the control group. With an alpha of 0.05 and a confidence interval of 95%, the sample size is determined by keeping the G-power at 80%. Using Arduino and a variety of sensors, we can keep tabs on the water’s purity level. Results. We tracked and forecasted the water parameters within the given range. As a whole, the SWQM system found pH to be 7.2820, temperature to be 20.4365(, turbidity to be 0.7460 NTU, and total dissolved solids to be 137.3000 ppm. Laboratory testing yielded mean values of 5.7110 for pH, 13.6780 for temperature, 0.4400 for turbidity, and 75.1000 for total dissolved solids. Both groups show a statistically significant difference with significance values of p=0.002, p=0.001, p=0.001, and p=0.003 for pH, temperature, turbidity, and total dissolved solids, respectively. Overall, the results demonstrate that the novel SWQM technique is more accurate than the laboratory results when testing reverse osmosis (RO) water samples. Conclusion. Predictions are made based on the typical range of water quality measurements that indicate the safety of drinking water. Both time and money are saved by implementing the suggested strategy.