The development of an autonomous system composed of hardware and software, designed to monitor in real time the physical-chemical parameters of water, as well as to visualize and interpret the data in a way that is accessible and understandable for the community is described.
Abstract
Introduction: A significant portion of the population still lacks access to drinking water and relies on non-conventional sources such as wells and springs. In these cases, information on water quality and availability is difficult and expensive to obtain. The solutions available in the local market do not offer equitable access to tools that effectively address these needs.Objective: This work describes the development of an autonomous system composed of hardware and software, designed to monitor in real time the physical-chemical parameters of water, as well as to visualize and interpret the data in a way that is accessible and understandable for the community.Methodology: An IoT-WQMS-based device is presented, which uses five sensors to measure in real time key water parameters, such as pH, conductivity, turbidity, flow rate, temperature and humidity. The data is transmitted via GSM signal using the MQTT protocol, and is processed and visualized through easy-to-use software, designed to be accessible to the community.Results: The results include the graphical interface and visualization of water quality data in a laboratory prototype, both instantaneously and averaged over defined time intervals.Conclusions: The IoT-WQMS system presents advantages in terms of cost and accessibility for obtaining and interpreting water quality data in low-flow sources, in a laboratory environment. Future challenges include the transition to renewable energy and the integration of additional communication protocols, such as LoRaWAN.
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