IoT-Driven Water Quality Monitoring Systems for Smart Cities
DOI:
https://doi.org/10.22105/scfa.v1i3.47Keywords:
Predictive analytics, Resource optimization, Cloud computing, Environmental monitoringAbstract
Water quality monitoring systems in smart cities, driven by the Internet of Things (IoT), utilize interconnected sensors to continuously measure parameters such as pH, turbidity, and contaminants. These systems offer real-time data and analysis, making it possible to quickly identify problems like contamination or leaks. By incorporating machine learning, they aid in forecasting trends and enhancing resource management. The architecture of the system consists of sensing, communication, and data processing layers, with wireless protocols used to transmit information for analysis. These systems enhance urban water management, promote sustainable development, and efficiently address water quality challenges.
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