Design and Construction of a Prototype of a Water Clustering System at a Water Treatment Plant at an Airport Using an Esp 32 Microcontroller Based on the Internet of Things (IoT) and Fuzzy Logic

Abstract

Water quality in water treatment plants at airports is a crucial aspect that affects the health and service of passengers and airport operations. The author's goal is to create a prototype that will be able to collect and analyze water quality data with reference to the parameters of pH, water temperature, and water turbidity used. The data that has been taken from the three sensors will then be processed by the ESP32, which functions as a microcontroller and water quality controller by utilizing a 12V R385 DC pump, as well as monitoring data. Then the results of the sensor measurement monitoring data can be seen in the form of graphs on the Thingspeak website in real-time.