The invention relates to the technical field of
artificial intelligence, in particular to a method and device for determining the optimal cleaning time of a photovoltaic
cell based on
artificial intelligence. The method comprises the following steps: obtaining an initial water
stain area and an inclination angle on a photovoltaic
cell panel; according to the initial water
stain area, obtaining theresidual water
stain area in a preset time period, the illumination intensity of the photovoltaic
cell panel, the surface temperature of the
cell panel, the wind load and the environment temperature;constructing a water stain
evaporation time model by taking the residual water stain area, the illumination intensity, the inclination angle, the surface temperature of the
cell panel and the wind load as independent variables; using a
power model constructed by taking the wind load, the environment temperature and the residual water stain area as independent variables to obtain average power generation power; and judging a preset time period corresponding to the minimum loss power as the optimal cleaning time of the battery panel by comparing the average power generation power with the standard power generation power. According to the invention, the most appropriate time period can be selected as the guidance time of the washing cleaning mode according to the reduction of the influence of the washing cleaning process on the overall power generation power of the photovoltaic module.