CN115422824A - Multicolor LED mixed light optimal solution calculation method - Google Patents

Multicolor LED mixed light optimal solution calculation method Download PDF

Info

Publication number
CN115422824A
CN115422824A CN202210918018.4A CN202210918018A CN115422824A CN 115422824 A CN115422824 A CN 115422824A CN 202210918018 A CN202210918018 A CN 202210918018A CN 115422824 A CN115422824 A CN 115422824A
Authority
CN
China
Prior art keywords
color temperature
calculating
leds
chromaticity
light
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210918018.4A
Other languages
Chinese (zh)
Inventor
庄正飞
刘雪凝
庄朝辉
蒋长坡
刘志豪
刘晓珂
陈同生
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
South China Normal University
Original Assignee
South China Normal University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by South China Normal University filed Critical South China Normal University
Priority to CN202210918018.4A priority Critical patent/CN115422824A/en
Publication of CN115422824A publication Critical patent/CN115422824A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/12—Computing arrangements based on biological models using genetic models
    • G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Biophysics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physiology (AREA)
  • Genetics & Genomics (AREA)
  • Biomedical Technology (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Led Device Packages (AREA)

Abstract

The invention discloses a calculation method for a multi-color LED mixed light optimal solution, and relates to the technical field of illumination. The method comprises the steps of firstly testing to obtain spectral power distribution of light sources of various colors under a rated working state, then calculating chromaticity coordinates of the light sources of various colors in CIE1931-RGB system standard chromaticity observer spectral tristimulus values, then calculating CIE1931-XYZ tristimulus values, CIE1931-XYZ chromaticity coordinates and CIE1960-UCS chromaticity coordinates of the light sources of various colors, then taking representative 30 color temperature points as light mixing result target points in a color temperature range of 1000K-10000K on the basis of a seven-order blackbody locus function, calculating light mixing to obtain the duty ratio required by the target points, searching points with better Ra, rg and Rf expressions in each color temperature point and relevant color temperature thereof, storing data, and finally optimizing through a genetic algorithm. The invention starts from the light mixing principle, uses the chromaticity coordinate to calculate the duty ratio, and uses the genetic algorithm to optimize, so that the calculation time of the invention can be greatly reduced compared with the traversal method under the same calculation precision.

Description

Multicolor LED mixed light optimal solution calculation method
Technical Field
The invention belongs to the technical field of illumination, and particularly relates to a calculation method for a multi-color LED mixed light optimal solution.
Background
The multi-color LED mixed light is a common model of lighting lamps in some professional fields, and RGBW (red, green, blue, and white light), RGBCW (red, green, blue, cold, and warm white light), and the like are common. The mixed light result obtained by the multicolor LED is expressed in CIE1931 chromaticity space as the maximum area surrounded by each LED coordinate point.
In the field of lighting, color temperature and correlated color temperature are commonly used to describe the color of white light. When the light source and a black body of a certain temperature have the same color, the temperature of the black body is used to describe the color of the light source, i.e., the color temperature. The chromaticity coordinates of a black body at each temperature in CIE1931 are shown as a curve, which is called the black body locus. For a light source whose coordinates do not lie on the blackbody locus, its color temperature is described by the color temperature of the point on the blackbody locus closest in distance, i.e., the correlated color temperature. The reducing power of a light source to an object color is called a Color Rendering Index (CRI), and generally, the color rendering index is divided into a general color rendering index (Ra) and a special color rendering index (R1 to R15), and the maximum value thereof is 100.TM-30 uses two indexes of fidelity (Rf) and saturation (Rg) to jointly evaluate the color quality, and the closer the value is to 100, the higher the color quality of the light source is considered.
In practical applications, when the control mixing coordinates fall on the blackbody locus, the optimal performance results of Ra, rf and Rg are usually not obtained, and a better correlated color temperature needs to be found at the color temperature. The existing light mixing technology generally adopts a Pulse Width Modulation (PWM) technology to control LEDs, and different light mixing effects are achieved by changing the duty ratio of each LED. The calculation of the duty ratio is mostly ergodic, namely the duty ratio of each LED is changed by fixed step length, and the duty ratio combination with better performance is selected;
however, in the prior art, the duty ratio for light mixing is mostly obtained by changing a fixed step length and completely traversing LEDs of various colors, in order to pursue better color expression, the colors of LEDs participating in light mixing are more and more, from the initial cool and warm white light to the current RGBW and RGBCW light mixing, along with the increase of the number of LEDs of different colors participating in light mixing, the time required by the fixed step length traversal method is exponentially increased, and the calculation of a group of four-color LED lamp beads needs tens of hours or even hundreds of hours.
Disclosure of Invention
The invention aims to provide a calculation method for mixed light optimal solution of a multicolor LED, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a multicolor LED mixed light optimal solution calculation method, which comprises a coordinate calculation method, wherein the coordinate calculation method is based on two chromaticity systems CIE1931 and CIE1960, a point on a blackbody locus and the correlated color temperature of the point in the range of 1000K-10000K is taken as a target point, and the proportion required by a given light source to reach the target point is solved, and the coordinate calculation method comprises the following steps:
s1, testing to obtain spectral power distribution of light sources of various colors in a rated working state;
s2, calculating chromaticity coordinates of light sources of various colors in the spectrum tristimulus values of a standard chromaticity observer of the CIE1931-RGB system;
s3, calculating CIE1931-XYZ tristimulus values of light sources of all colors;
s4, calculating CIE1931-XYZ chromaticity coordinates of the light sources of all colors;
s5, calculating CIE1960-UCS chromaticity coordinates of light sources of all colors;
s6, taking a seven-order blackbody locus function as a basis, taking 30 representative color temperature points in a color temperature range of 1000K-10000K, and calculating a vertical line function of each selected color temperature point on the blackbody locus in a CIE1960-UCS chromaticity system;
s7, selecting 20 related color temperature points near each point on a vertical line in a CIE1960-UCS chromaticity system according to each selected color temperature point calculated in the S6 at a fixed distance, recording coordinates (u, v) of the color temperature points, and converting the coordinates into coordinates (x, y) of a CIE1931-XYZ chromaticity system;
s8, mixing LEDs with different colors and close to chromaticity coordinates in a fixed step length to obtain a group of mixed LED data, wherein the mixed number depends on the number of the LEDs with different colors, the mixed data is regarded as the LEDs with one color, one mixed LED is obtained by mixing at most three initial LEDs, and the number of the LEDs participating in calculation is three finally; and calculating to obtain chromaticity coordinates (x, y) of the three LEDs in CIE 1931-XYZ;
s9, calculating mixed light by using the three LEDs obtained in the S8 to obtain the duty ratio required by the target point selected on the blackbody track;
s10, searching points with better Ra, rg and Rf performances in each color temperature point and correlated color temperature thereof, and storing data.
Further, in S2, the calculation formula is as follows:
Figure BDA0003776565560000031
in the formula (I), the compound is shown in the specification,
Figure BDA0003776565560000034
k is the maximum spectral luminous efficacy of the measured light spectral distribution function,
Figure BDA0003776565560000032
Figure BDA0003776565560000033
is the CIE1931-RGB system standard chromaticity observer spectral tristimulus value.
Further, in S3, the calculation formula is as follows:
Figure BDA0003776565560000041
further, in S4, the calculation formula is as follows:
Figure BDA0003776565560000042
further, in S5, the calculation formula is as follows:
Figure BDA0003776565560000043
further, the seventh order blackbody locus function in S6 is:
v＝-14.336088+319.35498u-2990.9729u 2 +15551.2u 3 -48288.335u 4 +89346.075u 5 -91102.316u 6 +39467.868u 7 。
further, in S9, the calculation formula is as follows:
Figure BDA0003776565560000044
wherein K r 、K g 、K b Duty cycles of three LEDs, x t 、y t Is the chromaticity coordinate, x, of the target point r 、y r 、x g 、y g 、x b 、y b The chromaticity coordinates of three LEDs.
Further, the method comprises a genetic algorithm, wherein the genetic algorithm is used for optimizing each target color temperature point and storing data near the target color temperature point by taking the result obtained in the step S10 as initial data based on the result obtained by the coordinate calculation method, and the genetic algorithm comprises the following steps:
carrying out binary coding on the duty ratios of the LEDs of all colors obtained by the coordinate calculation method, wherein each duty ratio corresponds to 10-bit binary coding, the total coding length is 10n, and n is the color number of the LEDs;
calculating codes to obtain a light mixing result of the duty ratio corresponding to the codes, wherein the light mixing result comprises CCT, ra, rf and Rg, and the group of data is a parent population;
selecting 30 color temperature points in a color temperature range of 1000K-10000K in the coordinate calculation method one by one as a target color temperature TargetCCT calculated by a genetic algorithm;
according to the light mixing result, performing non-dominated sorting on each group of data, wherein sorting reference values are | TargetCCT-CCT |, (100-Ra), (100-Rf) and |100-Rg |, and calculating the crowding degree;
selecting two groups of data in the parent population by using a championship selection method, crossing the two groups of data, and storing crossed results in the offspring population;
randomly selecting to carry out variation in the parent population, calculating a corresponding light mixing result of the duty ratio result after the variation, and storing the result in the offspring population;
VII, performing non-dominated sorting on results in the offspring population, and eliminating offspring which are sorted later;
and VIII, repeating IV-VII.
The invention has the following beneficial effects:
the invention starts from the light mixing principle, uses the chromaticity coordinate to calculate the duty ratio, and uses the genetic algorithm to optimize, thereby greatly reducing the time required by calculation under the same calculation precision.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of CIE1931 chromaticity coordinates and blackbody locus according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is a method for calculating mixed light optimal solution of a multicolor LED, including a coordinate calculation method and a genetic algorithm, wherein the coordinate calculation method is based on two chromaticity systems CIE1931 and CIE1960, and uses a point on a black body locus and a point having a correlated color temperature within a range of 1000K-10000K as a target point, and solves a ratio required by a given light source to reach the target point, wherein the coordinate calculation method specifically includes the following steps:
s1, testing to obtain spectral power distribution of light sources of various colors in a rated working state;
s2, calculating chromaticity coordinates of the light sources of the various colors in the spectrum tristimulus values of the standard chromaticity observer of the CIE1931-RGB system, wherein the calculation formula is as follows:
Figure BDA0003776565560000061
in the formula (I), the compound is shown in the specification,
Figure BDA0003776565560000076
k is the maximum spectral luminous efficacy of the measured light spectral distribution function,
Figure BDA0003776565560000071
Figure BDA0003776565560000072
the tristimulus values of the spectrum of a CIE1931-RGB system standard chromaticity observer;
s3, calculating CIE1931-XYZ tristimulus values of light sources of all colors, wherein the calculation formula is as follows:
Figure BDA0003776565560000073
s4, calculating CIE1931-XYZ chromaticity coordinates of light sources of all colors, wherein the calculation formula is as follows:
Figure BDA0003776565560000074
s5, calculating CIE1960-UCS chromaticity coordinates of light sources of all colors, wherein the calculation formula is as follows:
Figure BDA0003776565560000075
s6, taking a seven-order blackbody locus function as a basis, taking 30 representative color temperature points in a color temperature range of 1000K-10000K, and calculating a vertical line function of each selected color temperature point on a blackbody locus in a CIE1960-UCS chromaticity system, wherein the seven-order blackbody locus function is as follows:
v＝-14.336088+319.35498u-2990.9729u 2 +15551.2u 3 -48288.335u 4 +89346.075u 5 -91102.316u 6 +39467.868u 7 ；
s7, selecting 20 related color temperature points near each point on a vertical line in a CIE1960-UCS chromaticity system according to each selected color temperature point calculated in the S6 at a fixed distance, recording coordinates (u, v) of the color temperature points, and converting the coordinates into coordinates (x, y) of a CIE1931-XYZ chromaticity system;
s8, mixing LEDs with different colors and close to chromaticity coordinates in a fixed step length to obtain a group of mixed LED data, wherein the mixed number depends on the number of the LEDs with different colors, the mixed data is regarded as the LEDs with one color, one mixed LED is obtained by mixing at most three initial LEDs, and the number of the LEDs participating in calculation is three finally; and calculating to obtain chromaticity coordinates (x, y) of the three LEDs in CIE 1931-XYZ;
and S9, calculating mixed light by using the three LEDs obtained in S8 to obtain the duty ratio required by the target point selected on the blackbody locus, wherein in the embodiment, the calculation formula is as follows:
Figure BDA0003776565560000081
wherein K r 、K g 、K b Duty cycles of three LEDs, x t 、y t Is a target ofChromaticity coordinate of a point, x r 、y r 、x g 、y g 、x b 、y b Chromaticity coordinates for three LEDs;
s10, searching points with better Ra, rg and Rf performances in each color temperature point and correlated color temperature thereof, and storing data.
The genetic algorithm optimizes each target color temperature point and stores data near the target color temperature point by using the result obtained in S10 as initial data based on the result obtained by the coordinate calculation method, and in this embodiment, the genetic algorithm specifically includes the following steps:
carrying out binary coding on the duty ratios of the LEDs with various colors obtained in the coordinate calculation method, wherein each duty ratio corresponds to 10-bit binary coding, the total coding length is 10n, and n is the number of the colors of the LEDs;
calculating the codes to obtain a light mixing result of the duty ratio corresponding to the codes, wherein the light mixing result comprises CCT, ra, rf and Rg, and the group of data is a parent population;
selecting 30 color temperature points in a color temperature range of 1000K-10000K in the coordinate calculation method one by one as a target color temperature TargetCCT calculated by a genetic algorithm;
according to the light mixing result, performing non-dominated sorting on each group of data, wherein sorting reference values are | TargetCCT-CCT |, (100-Ra), (100-Rf) and |100-Rg |, and calculating the crowdedness;
selecting two groups of data in the parent population by using a championship selection method, crossing the two groups of data, and storing crossed results in the offspring population;
randomly selecting to carry out variation in the parent population, calculating the corresponding mixed light result of the duty ratio result after variation, and storing the result in the offspring population;
VII, performing non-dominated sorting on the results in the offspring population, and eliminating the offspring which are sorted later;
the tournament selection method is an existing mature method, and has the core idea that a certain number of individuals are randomly selected from a parent generation in the process of each evolution, an individual with the highest fitness is selected from the individuals to carry out genetic operation, and the process is repeatedly operated until the scales of a progeny population and a parent population are the same, so that the details are not repeated;
and VIII, repeating IV-VII.
In the traversal calculation method, the number of LEDs in different colors participating in light mixing is increased exponentially during calculation, the number of LEDs in different colors participating in light mixing is increased, and the calculation method is shorter in time ratio compared with the traversal method, for example, under the conditions of five-color light mixing and duty ratio accuracy of 0.001, the calculation time of the traversal method is about 200 hours, and the calculation time of the method is about 6 hours;
in addition, in the coordinate calculation method, calculation is only carried out with lower precision, and the calculation precision is improved when genetic algorithm calculation is used later, so that the calculation efficiency can be improved better;
in conclusion, the invention can be seen from the light mixing principle, the duty ratio is calculated by using the chromaticity coordinate, and the genetic algorithm is used for optimization.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (8)

1. A multicolor LED mixed light optimal solution calculation method is characterized by comprising a coordinate calculation method, wherein the coordinate calculation method comprises the following steps:
s1, testing to obtain spectral power distribution of light sources of various colors in a rated working state;
s2, calculating chromaticity coordinates of light sources of various colors in the spectrum tristimulus values of a standard chromaticity observer of the CIE1931-RGB system;
s3, calculating CIE1931-XYZ tristimulus values of light sources of all colors;
s4, calculating CIE1931-XYZ chromaticity coordinates of light sources of all colors;
s5, calculating CIE1960-UCS chromaticity coordinates of light sources of all colors;
s6, taking 30 representative color temperature points within a range of 1000K-10000K of color temperature on the basis of a seven-order blackbody locus function, and calculating a vertical line function of each selected color temperature point on a blackbody locus in a CIE1960-UCS chromaticity system;
s7, selecting 20 related color temperature points near each point on a vertical line in a CIE1960-UCS chromaticity system according to each selected color temperature point calculated in the S6 at a fixed distance, recording coordinates (u, v) of the color temperature points, and converting the coordinates into coordinates (x, y) of a CIE1931-XYZ chromaticity system;
s8, mixing LEDs with different colors and close to chromaticity coordinates in a fixed step length to obtain a group of mixed LED data, wherein the mixed number depends on the number of the LEDs with different colors, the mixed data is regarded as the LEDs with one color, one mixed LED is obtained by mixing at most three initial LEDs, and the number of the LEDs participating in calculation is three finally; and calculating to obtain chromaticity coordinates (x, y) of the three LEDs in CIE 1931-XYZ;
s9, calculating mixed light by using the three LEDs obtained in S8 to obtain the duty ratio required by the target point selected on the blackbody locus;
s10, searching points with better Ra, rg and Rf performances in each color temperature point and correlated color temperature thereof, and storing data.
2. The method as claimed in claim 1, wherein in S2, the calculation formula is as follows:
Figure FDA0003776565550000021
in the formula (I), the compound is shown in the specification,
Figure FDA0003776565550000022
k is the maximum spectral luminous efficacy of the measured light spectral distribution function,
Figure FDA0003776565550000023
Figure FDA0003776565550000024
is the CIE1931-RGB system standard chromaticity observer spectral tristimulus value.
3. The method as claimed in claim 2, wherein in S3, the calculation formula is as follows:
Figure FDA0003776565550000025
4. the method as claimed in claim 3, wherein in S4, the calculation formula is as follows:
Figure FDA0003776565550000026
5. the method for calculating the mixed light optimal solution of the multi-color LED according to claim 4, wherein in S5, the calculation formula is as follows:
Figure FDA0003776565550000027
6. the method as claimed in claim 5, wherein the seven-order blackbody locus function in S6 is:
v＝-14.336088+319.35498u-2990.9729u 2 +15551.2u 3 -48288.335u 4 +89346.075u 5 -91102.316u 6 +39467.868u 7 。
7. the method as claimed in claim 6, wherein in S9, the calculation formula is as follows:
Figure FDA0003776565550000031
wherein K is r 、K g 、K b Duty cycles of three LEDs, x t 、y t Is the chromaticity coordinate, x, of the target point r 、y r 、x g 、y g 、x b 、y b Are the chromaticity coordinates of three LEDs.
8. The method of claim 7, further comprising a genetic algorithm, wherein the genetic algorithm comprises the steps of:
I. binary coding is carried out on the duty ratios of the LEDs with various colors obtained in the coordinate calculation method, each duty ratio corresponds to 10-bit binary coding, the total coding length is 10n, and n is the color number of the LEDs;
II, calculating codes to obtain a light mixing result of the duty ratio corresponding to the codes, wherein the light mixing result comprises CCT, ra, rf and Rg, and the group of data is a parent population;
III, taking 30 color temperature points selected in the color temperature interval of 1000K-10000K in the coordinate calculation method as the target color temperature TargetCCT calculated by a genetic algorithm one by one;
according to the light mixing result, performing non-dominated sorting on each group of data, wherein sorting reference values are | TargetCCT-CCT |, (100-Ra), (100-Rf) and |100-Rg |, and calculating the crowdedness;
v, selecting two groups of data in the parent population by using a championship selection method, crossing the two groups of data, and storing crossed results in the offspring population;
randomly selecting to carry out variation in the parent population, calculating a corresponding mixed light result of the varied duty ratio result, and storing the result in the offspring population;
VII, performing non-dominated sorting on results in the offspring population, and eliminating offspring in the later sorting;
repeat IV-VII.
CN202210918018.4A 2022-08-01 2022-08-01 Multicolor LED mixed light optimal solution calculation method Pending CN115422824A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210918018.4A CN115422824A (en) 2022-08-01 2022-08-01 Multicolor LED mixed light optimal solution calculation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210918018.4A CN115422824A (en) 2022-08-01 2022-08-01 Multicolor LED mixed light optimal solution calculation method

Publications (1)

Publication Number Publication Date
CN115422824A true CN115422824A (en) 2022-12-02

Family

ID=84196836

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210918018.4A Pending CN115422824A (en) 2022-08-01 2022-08-01 Multicolor LED mixed light optimal solution calculation method

Country Status (1)

Country Link
CN (1) CN115422824A (en)

Similar Documents

Publication Publication Date Title
KR101460002B1 (en) Lighting device with multiple primary colors
CN109661059B (en) LED dimming and color mixing method and system
US7972028B2 (en) System, method and tool for optimizing generation of high CRI white light, and an optimized combination of light emitting diodes
CN105848339B (en) A kind of multi-primary LED lighting source intelligent dimming shading process and device
WO2013009157A1 (en) Polychromatic solid-state light sources for the control of colour saturation of illuminated surfaces
CN105354369B (en) A kind of adjustable color white LED light source design method of high colour developing quality
CN105973572A (en) Spectrum optimization method for multicolor LED to realize optimum light source color rendering
TW201314264A (en) The method for mixing light of LED array
CN1784932A (en) User interface for controlling light emitting diodes
CN110677954B (en) Precise dimming method and system for super-three-color LED light source
CN105163419B (en) High color saturation White-light LED illumination system and its color mixing designs method
US8632208B2 (en) Methodology of providing white lighting with colour combination
CN104540263A (en) Method and device for simulating daylight changing
CN105656555B (en) Four color visible light communication system gamut keying constellation points optimize means of illumination
CN108922460B (en) Primary color optimization method for three-primary-color display and display device
CN104300045B (en) A kind of method for mixing out daylight based on multiple white light sources
CN103079305B (en) Light-emitting diode (LED) illuminating device and light regulation method thereof
CN112423429B (en) Method for fitting five-primary-color LED mixed light source
CN115422824A (en) Multicolor LED mixed light optimal solution calculation method
CN113033777B (en) Vehicle-mounted atmosphere lamp chromaticity calibration method based on neural network calibration model
CN115190668A (en) RGBWCL seven-color-in-one LED full-spectrum color mixing method
CN111509094B (en) Three-color LED light source chip type selection method, system, medium and electronic equipment
CN106255282A (en) A kind of Lighting Control Assembly and illumination control method
CN110602837B (en) Method and system for determining maximum brightness of super-three-color LED light source matched target chromaticity
CN117823834A (en) RGB light mixing device and method with high color temperature

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination