The application discloses a
sky color modeling method based on sunny spectrum information, and solves the problems that existing
sky brightness models cannot restore
sky color information and color deviation exists when color is represented by correlated
color temperature. The spectrum data of 145 sky surface elements of a hemisphere are measured by a spectrum sky
scanner;
color coordinates (x, y) of each sky
surface element are solved based on the spectrum data; a
zenith color model is established based on direct and scattered data; a BP neural
network model framework is built; and the input layer is set as the sky
surface element height angle, the sky
surface element azimuth angle, the sun height angle, the sun
azimuth angle and the
zenith color coordinate value to obtain the final model. The method of the application establishes a model with color information to improve the application of the sky model in the field of
colorimetry. The model is used to estimate the real-time sky spectrum data variation law, and provides a theoretical reference for building lighting
simulation of glass with spectrum selectivity. The
color coordinates are more scientific and accurate than the correlated
color temperature.