Method and system for constructing light preference evaluation index based on color sample optimization

Abstract

The present invention relates to a color sample optimization-based illumination preference degree evaluation index construction method and system. The method comprises the steps of constructing a typical color sample spectral reflectance data set; constructing a full-color gamut typical color sample set; collecting a plurality of current representative illumination preference degree research data, and obtaining the relative spectrum power distribution and the corresponding preference degree ranking data of the used light sources; selecting a plurality of color samples from the above full-color gamut typical color sample set, testing all combination modes of the color samples, and calculating the color gamut volume of the specific color sample combination mode on the light source conditions and aiming at the combination modes; calculating the SPEARMAN correlation coefficients between the calculated color gamut volumes and the corresponding preference degree ranking data, and further solving the comprehensive weighted correlation coefficients for researching the corresponding correlation coefficients according to a meta analysis method; on the basis of maximizing the comprehensive weighted correlation coefficients, determining an optimal color sample combination, and taking the color gamut volume of the combined samples on a to-be-tested light source condition as a final index.

Description

technical field [0001] The invention belongs to the technical field of lighting quality evaluation, and in particular relates to a method and system for constructing a lighting preference evaluation index based on color sample optimization. Background technique [0002] Lighting quality evaluation is of great significance to the development of the lighting industry. A scientific and reasonable lighting quality evaluation method is a prerequisite for guiding the design and production of lighting products. At present, with the continuous development of lighting technology, the industry and academia have generally agreed that the multi-dimensionality of lighting quality evaluation, that is, evaluating the lighting quality of light sources should include multiple factors such as light reducibility, preference, color discrimination, naturalness, etc. dimension. [0003] Among the above dimensions, lighting preference has become a hot research topic in the industry in recent year...

AI Technical Summary

Problems solved by technology

[0009] However, restricted by subjective and objective factors such as the level of theoretical methods, the above work is limited to the comprehensive evaluation of existing lighting evaluation indicators, and it is still unable to complete the construction of new lighting preference evaluation indicators based on the collected research data. Work

Aiming at the above problems, the academia and industry have not yet proposed corresponding solutions.

Images