An improved real-time water quality monitoring embedded system with IoT on unmanned surface vehicle

Abstract

Water quality maintenance is crucial in strategizing control and pitching in measures to reduce water pollution and degradation of aquatic ecosystems. Periodic monitoring of water quality is an essential exercise that can help keep track of water bodies' hydrological information. This article presented a novel system that can make water quality monitoring more efficient to prevent ongoing pollution control trends. Here, we implemented a well-structured technique to collect the quality parameters, especially chemical indicators, and generate characteristic maps for each parameter about the particular water body under survey. The data collected were transferred to the cloud in real-time to keep track of the water body's quality and access real-time quality data of different chemical and biological indicators like pH, dissolved oxygen, total dissolved solvents, turbidity, etc. The parameters monitored through the prototype built are pH and Temperature. The proposed system solved major limitations of existing methods, thereby improving water quality monitoring efficiency and minimizing water pollution.