Optimization method of N (N is greater than or equal to 20) primary color spectrum fitting target spectrum

Abstract

The invention discloses a method for optimizing an N (N is greater than or equal to 20) primary color spectrum fitting target spectrum. The invention aims to solve the problem that primary color spectrums of each column influence each other. Other primary color spectrum ranges influenced by each column of spectrums are accurately counted by utilizing the half width; when a certain column of spectrums is adjusted, other spectrums of which the peak wavelengths are in the half-width range of the column of spectrums are synergistically adjusted; therefore, the calculated amount is reduced to the maximum extent while the accuracy is improved, the fitting time is shortened, the fitting precision is improved, and the synthesized spectrum meets the requirements that the general color rendering index Ra is larger than or equal to 95, the special color rendering indexes R1 to R15 are larger than or equal to 95, and the color temperature deviation delta Tc is smaller than or equal to 10 K.

Description

Technical field [0001] The present invention relates to the field of lighting technology, in particular to an optimization method for N (N≥20) primary color spectrum fitting target spectrum. Background technique [0002] In recent years, the development of quantum dot fluorescent nanomaterials has received extensive attention. Quantum dot materials are made of semiconductor materials synthesized from elements such as zinc, selenium, cadmium, sulfur, etc., with a diameter of 2-10 nm, which has obvious quantum confinement effects. It can confine the carriers in the semiconductor to a very small space, and the carrier will be excited to transition to a high energy level under light or electrical stimulation, and then return to the initial energy level and emit visible light of a fixed wavelength. Compared with traditional phosphors, the advantage of quantum dot fluorescent materials is that the center wavelength and half-width of the excitation spectrum can be adjusted according to...

AI Technical Summary

Problems solved by technology

[0004] Chinese patent CN106764691 proposes a solar spectrum and blackbody radiation spectrum simulation system based on quantum dot LEDs, using K (K≥20) monochromatic quantum dot LED light sources or ultraviolet LED light sources with different peak wavelengths, and the single The colored light converges at the light mixer at the common focal point of the focusing lens, and finally exits through the light distribution lens group, which has a high degree of fitting, but it does not propose how to adjust the quantum dot spectrum to make the composite spectrum consistent with the The target spectrum is close to achieve a high fitting coefficient, and no specific operable and realizable automatic adjustment algorithm is given; Chinese patent CN109029728 proposes a new evaluation method for the synthetic spectrum, according to the central color coordinates of the synthetic spectrum and the standard spectrum The central color coordinates of the synthetic spectrum are used to calculate the color tolerance of the synthetic spectrum, but the use of color tolerance to evaluate the fitting quality is from the perspective of light color parameters, which is somewhat one-sided and single, and the fitting coefficient of the synthetic spectrum and other light colors are not given. Parameters such as color rendering index and color temperature are not comprehensive enough; Chinese patent CN108051084 proposes a method for determining the center of the spectral peak, calculating the center of the spectral peak, judging whether the number of iterations is greater than 1, and then judging whether the center is convergent, thereby changing the center of the data range , output the peak center, the patent is based on the quadratic curve fitting of the least squares method, the logic is clear when locating the peak center, but it does not give the accuracy after locating the peak center, does not judge the fitting coefficient and how many times it needs to cycle Converges exactly to the center of the peak

The current calculation methods are very cumbersome and lengthy, and even the calculation process does not converge and the final result cannot be obtained, so a more reliable fitting method is needed

Images