Photovoltaic tracking support fault detection method and device based on artificial intelligence

The invention relates to a photovoltaic tracking support fault detection method and device based on artificial intelligence, and the method comprises the steps: acquiring the output current and illumination intensity of a solar cell panel at a current moment, acquiring the actual output power according to the output current, acquiring the target output power according to the illumination intensity, and if the difference between the actual output power and the target output power is large, acquiring the actual angle of the solar cell panel at the current moment, and performing comparing with atarget angle, judging whether the photovoltaic tracking support breaks down or not. According to the photovoltaic tracking support fault detection method based on artificial intelligence, whether thephotovoltaic tracking support breaks down or not is monitored in real time by monitoring the output current and the illumination intensity of the solar cell panel at the current moment according to the angle difference, and wh