Comprehensive evaluation optimization method and comprehensive evaluation optimization system for light source vision and non-vision effect performance

Abstract

The invention is suitable for the technical field of an illumination spectrum, and provides a comprehensive evaluation optimization method for a light source vision and non-vision effect performance. The comprehensive evaluation optimization method comprises the following steps of obtaining a non-vision biological effect matching function c<->(lambda), a scotopic vision matching function s<->(lambda) and a photopic vision matching function p<->(lambda) according to a spectrum-sensitive curve of a non-vision biological effect C(lambda), a scotopic vision V'(lambda) and a photonic vision V(lambda); according to the c<->(lambda), the s<->(lambda) and the p<->(lambda) and the arrangement relationship of light source spectrums, obtaining radiation efficiency functions of the C(lambda), the V'(lambda) and the V(lambda), and performing unification for obtaining three stimulus values C, S and P which correspond with the C(lambda), the V'(lambda) and the V(lambda); calculating c, s and p, and establishing a CSP spectrum locus diagram according to the c, the s and the p; drawing a coordinate which corresponds with an equal-energy white and black-body radiation light source on the CSP spectrum; and drawing an S / P value spectrum and a C / P value spectrum on the CSP spectrum. According to the comprehensive evaluation optimization method, related visions are integrated and unified, thereby facilitating comprehensive performance improvement of different visions and realizing accurate calculation; and furthermore light source spectrum optimization is facilitated, thereby satisfying a requirement for required visual performance.

Description

technical field [0001] The invention belongs to the technical field of lighting spectrum, and in particular relates to a method and system for comprehensive evaluation and optimization of visual and non-visual effect performance of a light source. Background technique [0002] The human eye contains three different photoreceptor cell types, namely cone cells, rod cells and the third photoreceptor cell IPRGCs (IntrinsicallyPhotosensitiveRetinalGanglionCells, autonomous photoreceptor ganglion cells). Cone cells (ie, cone cells) are densely distributed in the fovea, but relatively few in the peripheral area of ​​the retina. There is a "single-line connection" between the cone cells in the fovea and the bipolar cells and ganglion cells, so that the fovea has a high resolution of light perception. Cone cells are mainly responsible for daytime light perception, have color vision, have poor light sensitivity, but have high visual acuity. Rod cells (that is, rod cells) are not dis...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method and system for comprehensive evaluation and optimization of visual and non-visual effect performance of light sources, aiming to solve the problem that different visions cannot be unified for comprehensive performance in the prior art

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