Development of an Intelligent Water Pollutant Prediction Robot Assisted by Wireless Transmission Control

This research aims to develop an intelligent water pollution prediction robot assisted by wireless transmission to address the shortcomings water quality monitoring systems. The robot is designed to operate in micro-waterscapes, particularly freshwater, using a hovercraft model and a radio frequency-based remote-control system. Sensor data is transmitted wirelessly using LoRa Ebyte E32, and the robot employs a 7.5-volt 2S LiPo battery for power. The research approach involves literature study, interviews, and observations to organically map solutions to identified problems. Two main methods are implemented: design and performance testing, encompassing motor motion system, fuzzy logic system for predicting water pollution percentage, remote control system, and data transmission communication system. The intelligent robot was successfully constructed with dimensions of 20 cm x 52.3 cm x 20.9 cm and a weight of 5 kg. The robot can operate for 20 minutes, with a remote-control range of up to 500 meters and a sensor data transmission range of up to 2 kilometers. Testing shows the robot has a 2% sensor error tolerance and accurately predicts water pollution levels. This intelligent robot aims to overcome limitations in water quality monitoring and improve pollution prediction accuracy, offering a more reliable solution for environmental monitoring.