Software and Hardware Collaborative Smart Photovoltaic System Based on Tunnel Magneto Resistance Sensor

Photovoltaic (PV) power generation has experienced rapid development in recent years. It uses solar energy to generate electricity, offering a cleaner energy source and effectively addressing energy shortages. This study aims to combine the high-precision magnetic field detection capabilities of Tunnel magnet resistance (TMR) sensors with photovoltaic power generation's monitoring and management functions to achieve the optimized management of intelligent PV systems. TMR sensors are employed not only to monitor magnetic field variations in the photovoltaic panel area in real-time, detecting potential issues such as intrusion, foreign object shading, or equipment failure, but also to monitor the magnetic fields of photovoltaic system inverters for fault diagnosis and status monitoring. This integrated application helps ensure the safety and efficient operation of PV power generation systems. Additionally, by incorporating artificial intelligence (AI) algorithms, the system can predict the power output of photovoltaic generation, optimize generation efficiency, and provide accurate data support for grid scheduling. The proposed system can effectively predict future trends in PV power generation, monitor specific conditions in target areas, and provide real-time feedback, thus enabling integrated intelligent and secure management.