Intelligent robot inspection system for photovoltaic power station based on plateau environment

This paper aims at the inspection problems faced by photovoltaic power plants in the long-term operation of photovoltaic power plants in harsh environments such as Qinghai and Tibet plateaus under low air pressure, high cold and hypoxia, large temperature differences, centered on robot technology, fusion sensor application technology, image recognition and processing Technology and artificial intelligence and other advanced technologies, research and development and design of intelligent robot inspection system for photovoltaic power plants. The system is used to monitor the operating status of photovoltaic panels and meteorological parameters in real time to establish a prediction model, estimate the instantaneous power generation of photovoltaic power plants, and establish an image recognition model based on convolutional neural networks, which can accurately detect the failure of photovoltaic power plant equipment. Analysis and discrimination provide innovative technical testing methods for unattended photovoltaic power stations to achieve safe and stable operation of high-altitude photovoltaic power stations and good operational benefits.