Development of Monitoring Control System in Domestic Water Home Tank
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Abstract
This study explores the development of an innovative water quality control device for residential tanks, aimed at enhancing water safety and management. Ensuring clean and safe water in home tanks is a growing concern due to variable water quality and maintenance challenges. Traditional methods of water quality monitoring are often manual and inadequate for real-time intervention. The study aims to design a smart control system that provides continuous monitoring, real-time alerts, and automated corrective actions for residential water tanks. A prototype device was developed incorporating sensors for pH, turbidity, and temperature measurements. Data is collected and analyzed using IoT technology, with results displayed on a mobile application. The system features automated controls for water treatment processes and employs machine learning for predictive maintenance. The device successfully provided realtime monitoring and automated responses to water quality issues, significantly improving water safety and maintenance efficiency. Future improvements include expanding sensor capabilities, enhancing the predictive analytics and integrating with other home automation systems to further streamline water management processes.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
References
Goh, K. S., Teo, C. P., & Tan, M. Y. (2022). Advances in sensor technology for water quality monitoring: A review. Sensors and Actuators B: Chemical, 358, 131556.
Johnson, R., Lee, T., & Kim, H. (2021). User acceptance of water quality control technologies: A survey study. International Journal of Environmental Research and Public Health, 18(3), 1172.
Kim, S., Park, J., & Cho, S. (2023). Emerging technologies in water quality management: Nanomaterials and AI applications. Water Research, 234, 119345.
Lee, J., Choi, H., & Park, Y. (2021). Real-time monitoring and control of water quality using IoT technology. Journal of Environmental Management, 280, 111764.
Miller, R., Roberts, J., & Stone, T. (2021). Economic feasibility of advanced water quality control systems for residential use. Water Science & Technology, 83(7), 1427-1435.
Ravi, S., Kumar, P., & Patel, M. (2022). Predictive analytics in water quality management: A review. Environmental Monitoring and Assessment, 194, 121.
Smith, A., Jones, D., & Brown, E. (2022). Maintenance and calibration challenges in water quality sensors. Sensors, 22(12), 4402.
Singh, R., Gupta, A., & Bansal, S. (2023). IoT-based water quality management systems: A comprehensive review. Computers, Environment and Urban Systems, 94, 101848.
Yuan, Y., Zhang, L., & Zhao, Y. (2023). Long-term performance and reliability of water quality sensors: A review. Journal of Water Resources Planning and Management, 149(2), 04022048.