Advanced Embedded System for Real-Time Fault Detection and Diagnosis in Photovoltaic Modules

In this project, we present the design and implementation of a novel embedded system tailored for real-time fault diagnosis of photovoltaic (PV) modules. The system integrates temperature, voltage, and current sensors to continuously monitor the operational parameters of PV modules. By processing the sensor data, the embedded system is capable of identifying and diagnosing faults, thereby ensuring the efficient operation and timely maintenance of the PV modules.A key feature of this system is its ability to provide immediate feedback through an Arduino-based interface. The system incorporates an LCD display to relay critical information about sensor readings, and a buzzer for alerting operators when high currents or voltages are detected. The LCD display shows real-time data, helping users quickly assess the status of the PV modules, while the buzzer provides an audible warning in case of abnormal conditions, prompting immediate investigation and response. This integrated approach enhances the reliability and operational efficiency of photovoltaic systems, minimizing downtime and improving overall system performance..