Wireless River Cleaning Robot

Abstract

This study presents the integration of a potentiostat for real-time detection and monitoring of heavy metals in environmental samples, coupled with a self-contained system comprising a solar panel, Battery 18650 with Battery Management System (BMS), ESP32 microcontroller, Wi-Fi connectivity, motor driver, motor, pH sensor, and turbidity sensor. The system is designed to perform cyclic voltammetry for the identification and concentration analysis of heavy metals, providing valuable data for environmental and health safety monitoring. Results indicate that the potentiostat successfully distinguishes heavy metals in various samples, with notable oxidation peak currents found in ferrocyanide and wine, suggesting differing levels of contamination. The wine sample demonstrated safe metal concentrations, aligning with World Health Organization (WHO) guidelines, while the ferrocyanide sample indicated higher potential risks of toxic metal release, emphasizing the need for regulatory oversight. The integration of wireless data transmission allows for real-time monitoring, facilitating prompt responses to potential contamination events. The study also explores future improvements in system efficiency, data transmission, and detection capabilities, with implications for automated water quality monitoring and broader environmental applications. This system provides a promising approach to environmental monitoring, offering a scalable solution for protecting water resources and public health.