An ESP32 And Turbidity Sensor Network-Based Intelligent Internet of Things Water Quality Monitoring System

Abstract

New capabilities are being added to sensors by the development of wireless communication technologies, and continuous improvements in sensor networks are essential for environmental applications. Industry 4.0, the Internet of Things, has an influence on environmental issues in addition to the automation sector. Since water is essential to human life, systems for routinely checking water quality must be established. About 40% of fatalities worldwide are linked to drinking polluted water. As such, there is an immediate need to guarantee that both urban and rural people have access to a steady supply of clean drinking water. Water Quality Monitoring (WQM) employs cost-effective, tailor-made solutions to monitor drinking water quality by integrating Internet of Things (IoT) technologies. The proposed system employs multiple sensors to assess diverse attributes. Since water is essential to human life and health, a monitoring system must be installed to consistently maintain high water quality.
Water is essential to modern agricultural and commercial innovations, especially those that help farmers grow crops more efficiently and install surveillance systems to monitor physical factors such as humidity and water availability. Assessing pH variations and other water-quality parameters is made simpler by wireless sensor networks. Real-time quality control across several locations is made possible by a wireless technology, such the Internet of Things (IoT), connecting a base station and nodes. This ambitious attempt's model is built and fueled by solar cells, which improves the utilization of the Internet of Things. The Wireless Sensor Network (WSN) collects information from numerous sensors located at the node, such as pH, turbidness, and oxygen levels, and transmits the gathered data to the central station. Subsequently, the received data is organized and visually represented in a textual format at the central station. The technology offers lower carbon emissions, reduced power consumption, and greater deployment versatility in remote areas.