This research aimed to design and implement a wireless monitoring and data acquisition system using LabVIEW for a 3 kW Solar Fuel Cell Reactor. The system incorporated advanced technologies like Raspberry Pi 3B+, Arduino Nano, PT100 temperature sensors, voltage divider, ACS758, and calibrated cells for precise irradiance sensing. It adhered to the IEC-61724-2017 standard and utilized a 3D-printed housing with a DIN rail fastener for durability and convenience. During a 5-day test period, the study examined the impact of temperature on the photovoltaic module, revealing variations of up to 3 °C among cells, leading to parameter dispersion and performance losses. Temperature also showed an inverse relationship with voltage, with higher temperatures resulting in decreased efficiency and a maximum surface temperature of 52.31 °C. The research also explored the effect of irradiance, finding a direct correlation between irradiance and generated current. Notably, extreme solar irradiance events occurred, with the highest value reaching 1245.90 W/m2 for 6 s at 11:39:13 on June 10, 2023, and the longest event lasting 176 s at 1219.77 W/m2, occurring at 11:34:17. The collected indicators provided reliable information on energy generation by the SFCR under specific environmental conditions.