Water Quality Monitoring Via Internet of Things (IoT)

In Malaysia, the pressing need for effective water management encompasses various applications, including monitoring rainwater harvesting quality, drinking water quality, and managing aquarium water quality. This research addresses this broad need by developing a versatile microcontroller-based water quality monitoring system. Centred around the usage of the ESP32 TTGO by LilyGo microcontroller, this system enables precise measurement and real-time monitoring of water parameters, providing critical insights into water quality and indicating whether treatment is necessary. The system is designed to cater to these essential uses, ensuring robust monitoring capabilities for rainwater harvesting, drinking water, and aquarium water. The methodology employed in this research involves the utilization of Arduino IDE, Visual Studio Code, and Flutter software to develop the microcontroller-based system, followed by rigorous testing, calibration, and validation procedures to ensure its accuracy and reliability. The calibration process includes a meticulous comparison of sensor data with readings from a trustworthy testing device that has undergone prior calibration. The successful development of the water quality monitoring device, coupled with its dedicated app, allows users to seamlessly monitor water quality from any location and access data remotely. This innovation enhances various water monitoring practices and promotes sustainable water management across different applications, contributing to the broader goal of water resource conservation.