Community water wells are essential for providing clean and safe drinking water in many rural and urban areas. However, maintaining their reliability and efficiency can be challenging due to maintenance issues, water quality concerns, and environmental factors. This paper proposes an Internet of Things (IoT)-based smart monitoring system to address these challenges. The system aims to enhance the monitoring, management, and maintenance of water wells through real-time data collection, analysis, and remote control capabilities. By leveraging IoT technologies, sensor networks, Actuators and cloud computing, the proposed solution enables efficient monitoring of key parameters such as turbidity and pH levels. Additionally, it facilitates proactive maintenance and timely interventions by alerting stakeholders, including those with disabilities, about potential issues or anomalies through various actuators. These alerts aid in decision-making regarding water use based on its status. The experimental results demonstrate that the system is promising and can be effectively used for health improvement.

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Design and Development of an Internet of Things (IoT)-Based Smart Monitoring System for Community Water Wells in Rwanda

  • Uwamahirwe Yvonne,
  • Jean Claude Habimana,
  • Colombe Yves Ishimwe,
  • Philbert Nsengiyumva,
  • Omar Gatera

摘要

Community water wells are essential for providing clean and safe drinking water in many rural and urban areas. However, maintaining their reliability and efficiency can be challenging due to maintenance issues, water quality concerns, and environmental factors. This paper proposes an Internet of Things (IoT)-based smart monitoring system to address these challenges. The system aims to enhance the monitoring, management, and maintenance of water wells through real-time data collection, analysis, and remote control capabilities. By leveraging IoT technologies, sensor networks, Actuators and cloud computing, the proposed solution enables efficient monitoring of key parameters such as turbidity and pH levels. Additionally, it facilitates proactive maintenance and timely interventions by alerting stakeholders, including those with disabilities, about potential issues or anomalies through various actuators. These alerts aid in decision-making regarding water use based on its status. The experimental results demonstrate that the system is promising and can be effectively used for health improvement.