The invention discloses a distributed photovoltaic
data processing method and
system, and relates to the technical field of
data processing, and the method comprises the steps: obtaining historical data generated during photovoltaic use through a monitoring point, building an
influence analysis model based on a deep neural
network model, carrying out the theoretical influence value prediction, and carrying out the calculation of an object distribution information graph through an object distribution information graph. Carrying out object numerical calculation of photovoltaic external influence; according to the method, data scanning is performed on the surface of the photovoltaic panel, the
influence analysis model is established for external influence factors, the light
transmittance is predicted according to the
influence analysis model, and theoretical light
transmittance of different dust thicknesses is generated, so that the influence of dust on
light transmission of the photovoltaic panel can be accurately measured; and meanwhile, according to the pre-estimated value of the constructed influence analysis model, in combination with thermal imaging, re-analysis and comparison are performed, and a compensation coefficient is calculated according to light
transmittance comparison to correct the electric quantity, so that the electric quantity calculation and pre-
estimation are more practical, more accurate
electric energy production is obtained, and reasonable use of energy data generated by distributed
photovoltaic power generation is facilitated.