CN109451624B - Spectrum adjusting method of multi-channel LED illuminating system - Google Patents
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Abstract
The application provides a spectrum adjusting method of a multi-channel LED illuminating system, which comprises the following steps: presetting a spectrum adjustment target variable and requirements thereof according to lighting application requirements; generating a composite spectrum of the multi-channel LED lighting system; calculating a target variable value of the synthesized spectrum; and judging whether the target variable value of the synthesized spectrum meets the requirement of a preset spectrum adjustment target variable, if not, regenerating the synthesized spectrum of the multi-channel LED lighting system until the obtained target variable value of the synthesized spectrum meets the requirement of the preset spectrum adjustment target variable, and obtaining the synthesized spectrum meeting the lighting application requirement. The multi-channel LED illuminating system can adjust any target spectrum, and can effectively realize illumination control of the multi-channel LED illuminating system, thereby providing important technical support for research and development of related products.
Description
Technical Field
The application belongs to the technical field of lighting, and particularly relates to a spectrum adjusting method of a multi-channel LED lighting system.
Background
With the rapid development of LED and intelligent control technology and the continuous and deep research on the influence of light on human body and mind, the research and application of light environment have been developed from original visual effect to the problems of light and health related to various aspects of emotion, sleep, cognition, rhythm and the like, and the illumination gradually goes from static illumination to dynamic illumination. The dynamic illumination is to adjust the illumination spectrum and intensity according to the brightness of the surrounding environment, so as to create a healthy, comfortable and efficient light environment for people.
Because the LED technology has good control characteristics, narrow-band spectrum and rich spectrum selection, the spectrum meeting the requirement of healthy illumination can be obtained by mixing different spectrums. In the LED color-changing temperature lamp in the current market, the color temperature and the light output of the lamp are changed mainly by adjusting the power ratio of two white light chips, namely a low color temperature chip and a high color temperature chip, or adjusting the power ratio of three color light chips, namely a red light chip, a green light chip and a blue light chip. However, these two solutions only can realize the change of color temperature or color of the light source, and cannot satisfy the adjustment of color rendering index and spectrum on physiological influence in the process of spectrum change. It is therefore a trend to achieve spectral combining with multi-channel (number of channels > 4) LED lighting systems to meet health lighting or color quality assessment requirements. However, as the number of channels increases, higher demands are placed on the control of LED lighting systems, which also becomes an important technical obstacle for multi-channel LED lighting systems that have not been marketed late in the market. At present, the problem of adjusting any target spectrum by using a multi-channel LED lighting system cannot be effectively solved.
Disclosure of Invention
To overcome, at least to some extent, the problems in the related art, the present application provides a spectral tuning method for a multi-channel LED lighting system.
According to an aspect of the embodiments of the present application, there is provided a spectral adjustment method of a multi-channel LED lighting system, including the following steps:
presetting a spectrum adjustment target variable and requirements thereof according to lighting application requirements;
generating a composite spectrum of the multi-channel LED lighting system;
calculating a target variable value of the synthesized spectrum;
judging whether the target variable value of the synthesized spectrum meets the requirement of a preset spectrum adjustment target variable, if not, regenerating the synthesized spectrum of the multi-channel LED lighting system until the target variable value of the obtained synthesized spectrum meets the requirement of the preset spectrum adjustment target variable, and obtaining the synthesized spectrum meeting the lighting application requirement;
wherein,
the process of generating the composite spectrum of the multi-channel LED lighting system is:
measuring an absolute spectral power distribution array P [ P, m ] of chips of each channel in the multi-channel LED lighting system under the rated power of the chips; p represents the number of channels of the LED lighting system (p > 3); m represents the number of spectral power distribution arrays;
randomly sampling a control coefficient between [0,1] of a multi-channel LED lighting system to generate a control coefficient sample k [1, p ] between [0,1] of the multi-channel LED lighting system;
generating a spectrum power distribution array P [1, m ] of a synthesized spectrum according to an absolute spectrum power distribution array P [ P, m ] of each channel chip under the rated power of the chip and a control coefficient sample k [1, P ] of a multi-channel LED lighting system between [0,1], and obtaining the synthesized spectrum, wherein the spectrum power distribution array P [1, m ] of the synthesized spectrum is as follows: p [1, m ] ═ k [1, P ] × P [ P, m ].
Further, the value range of the number m of the spectral power distribution arrays is
Where Δ λ represents the wavelength step of the spectral power distribution array, λmaxRepresenting the maximum wavelength, λ, of the array of spectral power distributionsminRepresenting the minimum wavelength of the array of spectral power distributions.
Further, the calculating the target variable value of the synthesized spectrum includes calculating a correlated color temperature of the synthesized spectrum by:
correlated color temperature T of the synthesized spectrumcpComprises the following steps:
Tcp＝-449*nk 3+3525*nk 2-6823.3*nk+5520.33，
in the formula, nkThe coefficient of fit is represented by the value of,
nk＝(xk-0.332)/(yk-0.1858)，
in the formula, xkChromaticity coordinate, y, representing the X-axis of the composite spectrumkChromaticity coordinates representing the Y-axis of the composite spectrum;
in the formula, Xk，Yk，ZkThe tristimulus value of the synthesized spectrum is calculated by the following formula:
in the formula, g represents a normalized coefficient,
sk(λ) represents the relative spectral power distribution of the composite spectrum; Δ λ represents the wavelength test interval of the relative spectral power distribution of the light source;
and
the color matching function representing a standard colorimetric observer is obtained from a look-up table.
Further, the calculating the target variable value of the synthesized spectrum includes calculating chromaticity difference between the synthesized spectrum and the reference light source by:
in the formula uk,vkChromaticity coordinates, u, representing the synthesized spectrumr,vrIndicating chromaticity coordinates of the reference light source;
wherein,
in the formula, Xr，Yr，ZrRepresenting the tristimulus value of the reference light source, calculated by the following formula:
in the formula, sr(λ) represents the relative spectral power distribution of the resultant spectrum.
Still further, the calculating the target variable value of the composite spectrum includes calculating a color rendering index of the composite spectrum;
wherein, the calculation process of the special color rendering index corresponding to each color sample is as follows:
judging whether the chromaticity difference between the synthesized spectrum and the reference light source is less than 5.4 x 10-3If yes, calculating CIE1931XYZ stimulus values of the color samples under the irradiation of the synthesized spectrum and the reference light source respectively;
respectively calculating u, v chromaticity coordinates of each color sample under the irradiation of the synthesized spectrum and the reference light source according to CIE1931XYZ stimulus values of each color sample under the irradiation of the synthesized spectrum and the reference light source;
correcting the chromaticity shift of chromaticity coordinates of the color samples under the irradiation of the synthesized spectrum to obtain chromaticity coordinates of each color sample under the synthesized spectrum after the chromaticity shift correction;
respectively calculating the chromaticity parameters of the color samples under the synthetic spectrum and the reference light source;
according to the chromaticity parameters of the color samples under the synthetic spectrum and the reference light source, calculating to obtain the color difference of the color samples under the irradiation of the synthetic spectrum and the reference light source respectively;
and calculating the corresponding color rendering index of each color sample according to the color difference of the color samples.
Further, the CIE1931XYZ tristimulus values of the color samples under the synthetic spectral illumination are calculated according to the following formula:
the CIE1931XYZ tristimulus values of each color sample under the irradiation of the reference light source are calculated according to the following formula:
wherein i represents the number of the color sample to be evaluated; rho (lambda)iRepresenting the visible spectral reflectance of the color sample.
Furthermore, the u, v chromaticity coordinate u of each color sample under the irradiation of the synthesized spectrumk,i,vk,iCalculated according to the following formula:
u, v chromaticity coordinate u of each color sample under the irradiation of reference light sourcer,i,vr,iCalculated according to the following formula:
further, the corresponding special color rendering index R of each color sampleiComprises the following steps:
Ri＝100-4.6ΔEi，
general color rendering index RaThe color developing index is calculated from the special color developing indexes of No. 1-8 standard color samples:
in the formula,. DELTA.EiDenotes the color difference, W, of the color samples illuminated by the synthesized spectrum and the reference light source, respectivelyr,i *，Ur,i *，Vr,i *Denotes the colorimetric parameter, W, of each color sample under a reference light sourcek,i *，Uk,i *，Vk,i *The colorimetric parameters of each color sample under the synthesized spectrum are shown.
Further, the spectrum adjusting method of the multi-channel LED illuminating system further comprises the following steps:
determining the maximum dimming dynamic range DR under the current dimming proportion of each channel:
in the formula phimaxThe maximum luminous flux which can be generated by the multi-channel LED lighting system under the condition that the luminous flux generated by the multi-channel LED lighting system meets the set color quality target variable according to the randomly generated control coefficient proportion is represented by the following calculation formula:
in the formula, max (k 1, p)]) Represents the maximum value among the control coefficient samples; kmRepresents the maximum value of the spectral visual performance of the radiation; p (n) represents the spectral power distribution array P [1, m ] of the synthesized spectrum]The nth column of data; v (n) represents a wavelength of λmin(n-1) Δ λ corresponding to spectral luminous efficiency: Δ λ represents the wavelength step of the spectral power distribution array;
Φminthe minimum luminous flux which can be generated by the multi-channel LED lighting system under the condition that the luminous flux generated by the multi-channel LED lighting system meets the set color quality target variable according to the randomly generated control coefficient proportion is represented by the following calculation formula:
in the formula, min (k 1, p) represents the minimum value of the nonzero coefficient in the control coefficient sample; q represents the AD conversion number of the control system of the multi-channel LED lighting system.
Further, the multi-channel LED lighting system control system AD converts the number of bits to 8, 14 or 16.
According to the above embodiments of the present application, at least the following advantages are obtained: according to the application, a spectrum adjustment target variable and the requirement thereof are preset firstly according to the lighting application requirement; generating a synthesized spectrum of the multi-channel LED lighting system, and calculating a target variable value of the synthesized spectrum; and then judge whether the target variable value of the synthesized spectrum meets the requirement of the preset spectrum adjustment target variable, and regenerate the synthesized spectrum under the condition of unsatisfied, so that the method can realize the adjustment of any target spectrum, can effectively realize the illumination control of a multi-channel LED illumination system (the number of channels is more than 3), and further provides important technical support for the research and development of related products.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the scope of the invention, as claimed.
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The accompanying drawings, which are incorporated in and constitute a part of the specification of the application, illustrate embodiments of the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of a spectrum adjustment method of a multi-channel LED lighting system according to an embodiment of the present application.
Fig. 2 is an absolute spectral power distribution curve of each channel chip in the 11-channel LED lighting system provided in the embodiment of the present application at its rated power, where the abscissa represents wavelength and the ordinate represents relative radiant power.
Fig. 3 is a spectrum curve of a synthesized spectrum according to preset spectrum adjustment target variables and requirements thereof, wherein the abscissa represents wavelength and the ordinate represents relative radiant power.
Detailed Description
For the purpose of promoting a clear understanding of the objects, aspects and advantages of the embodiments of the present application, reference will now be made to the accompanying drawings and detailed description, wherein like reference numerals refer to like elements throughout.
The illustrative embodiments and descriptions of the present application are provided to explain the present application and not to limit the present application. Additionally, the same or similar numbered elements/components used in the drawings and the embodiments are used to represent the same or similar parts.
As used herein, "first," "second," …, etc., are not specifically intended to mean in a sequential or chronological order, nor are they intended to limit the application, but merely to distinguish between elements or operations described in the same technical language.
With respect to directional terminology used herein, for example: up, down, left, right, front or rear, etc., are simply directions with reference to the drawings. Accordingly, the directional terminology used is intended to be illustrative and is not intended to be limiting of the present teachings.
As used herein, the terms "comprising," "including," "having," "containing," and the like are open-ended terms that mean including, but not limited to.
As used herein, "and/or" includes any and all combinations of the described items.
References to "plurality" herein include "two" and "more than two"; reference to "multiple sets" herein includes "two sets" and "more than two sets".
As used herein, the terms "substantially", "about" and the like are used to modify any slight variation in quantity or error that does not alter the nature of the variation. In general, the range of slight variations or errors that such terms modify may be 20% in some embodiments, 10% in some embodiments, 5% in some embodiments, or other values. It should be understood by those skilled in the art that the aforementioned values can be adjusted according to actual needs, and are not limited thereto.
Certain words used to describe the present application are discussed below or elsewhere in this specification to provide additional guidance to those skilled in the art in describing the present application.
Fig. 1 is a flowchart of a spectrum adjustment method of a multi-channel LED lighting system according to an embodiment of the present application. As shown in fig. 1, the spectral adjustment method of the multi-channel LED lighting system includes the following steps:
and S1, presetting a spectrum adjusting target variable and requirements thereof according to lighting application requirements. The spectrum adjustment target variable may be correlated color temperature, chromaticity difference, color rendering index, and the like. Specifically, the requirement of the spectrum adjustment target variable may be a value range that each spectrum adjustment target variable satisfies.
S2, measuring an absolute spectral power distribution array P [ P, m ] of chips of each channel in the multi-channel LED lighting system under the rated power of the chips](ii) a Wherein p represents the number of channels of the LED lighting system (p > 3); m represents the number of spectral power distribution arrays, and the value is generally
Wherein, Δ λ represents the wavelength step of the spectral power distribution array, and is generally 5 nm; lambda [ alpha ]maxThe maximum wavelength of the spectrum power distribution array is represented, and the value is generally 780 nm; lambda [ alpha ]minThe minimum wavelength of the spectral power distribution array is shown, and the value is generally 380 nm.
S3, randomly sampling the control coefficient between [0,1] of the multi-channel LED lighting system, and generating a control coefficient sample k [1, p ] between [0,1] of the multi-channel LED lighting system.
S4, generating a spectral power distribution array P [1, m ] of a synthesized spectrum according to the absolute spectral power distribution array P [ P, m ] of each channel chip under the rated power of the chip and a control coefficient sample k [1, P ] between [0,1] of the multi-channel LED lighting system, and obtaining the synthesized spectrum. Wherein, the spectrum power distribution array P [1, m ] of the synthesized spectrum is:
P[1,m]＝k[1,p]×P[p,m] (1)
s5, calculating the target variable value of the synthesized spectrum according to relevant standards such as 'light source color rendering evaluation method' GB5702 and 'illumination light source color measuring method' GB/T7922, and the specific process is as follows:
for the correlated color temperature of the synthesized spectrum, the calculation process is as follows:
correlated color temperature T of the synthesized spectrumcpComprises the following steps:
Tcp＝-449*nk 3+3525*nk 2-6823.3*nk+5520.33 (2)
in the formula (2), nkThe coefficient of fit is represented by the value of,
nk＝(xk-0.332)/(yk-0.1858) (3)
in the formula (3), xkRepresenting combined lightChromaticity coordinate, y, of the X-axis of the spectrumkChromaticity coordinates representing the Y-axis of the composite spectrum;
in the formula (4), Xk，Yk，ZkThe tristimulus value of the synthesized spectrum is calculated by the following formula:
in the expressions (5) to (7), g represents a normalization coefficient,
sk(λ) represents the relative spectral power distribution of the composite spectrum; Δ λ represents the wavelength test interval of the relative spectral power distribution of the light source;
and
the color matching function representing a standard colorimetric observer is obtained from a look-up table, which is a table of color matching functions for standard colorimetric observers, as shown in table 1.
TABLE 1 Standard chroma observer color matching function Table
For the chromaticity difference between the synthesized spectrum and the reference light source, the following formula is used for calculation:
in the formula (9), uk,vkChromaticity coordinates, u, representing the synthesized spectrumr,vrIndicating chromaticity coordinates of the reference light source.
Wherein,
in formulae (12) and (13), Xr，Yr，ZrRepresenting the tristimulus value of the reference light source, calculated by the following formula:
in formulae (14) to (16), sr(λ) represents the relative spectral power distribution of the reference light source.
And for the color rendering index of the synthesized spectrum, the color rendering index comprises a special color rendering index and a general color rendering index, wherein the calculation process of the color rendering index corresponding to each color sample is as follows:
s51, judging whether the chromaticity difference between the synthesized spectrum and the reference light source is less than 5.4 x 10-3. If yes, the CIE1931XYZ stimulus values of the color samples under the irradiation of the synthesized spectrum and the reference light source are respectively calculated.
The CIE1931XYZ tristimulus values of the color samples under the irradiation of the synthesized spectrum are calculated according to the equations (17) to (19):
the CIE1931XYZ tristimulus values of the color samples under the irradiation of the reference light source are calculated according to the equations (20) to (22):
in the formulas (17) to (22), i represents the color sample to be evaluatedA serial number; rho (lambda)iRepresenting the visible spectral reflectance of the color sample.
And S52, respectively calculating u and v chromaticity coordinates of each color sample under the irradiation of the synthesized spectrum and the reference light source according to the CIE1931XYZ stimulus values of each color sample under the irradiation of the synthesized spectrum and the reference light source.
U, v chromaticity coordinate u of each color sample under the irradiation of synthesized spectrumk,i,vk,iCalculated according to equations (23) and (24):
u, v chromaticity coordinate u of each color sample under the irradiation of reference light sourcer,i,vr,iCalculated according to equations (25) and (26):
and S53, correcting the chromaticity shift of the chromaticity coordinate of the color sample under the irradiation of the synthesis spectrum to obtain the chromaticity coordinate after the chromaticity shift correction of each color sample under the synthesis spectrum.
After correcting the chromaticity shift, chromaticity coordinates of the ith sample under the irradiation of the synthesized spectrum are as follows:
in formulae (27) and (28), cr,drRepresents the reference light source body color adaptive chromaticity shift correction value,
ck,dkthe displacement correction value of the chromaticity adapted to the color of the synthesized spectrum is expressed,
ck,i，dk,iindicating the chromaticity shift correction value for the ith color sample,
and S54, calculating the chromaticity parameters of the color samples under the synthesized spectrum and the reference light source respectively.
Chromaticity parameter W for each color sample under a reference light sourcer,i *，Ur,i *，Vr,i *，
In formulae (35) to (36), uriAnd vriRespectively representing the u, v chromaticity coordinates, u, of the color sample under the irradiation of the reference light source0And v0Respectively, the chromaticity coordinates of the reference light source.
Represents the power 1/3 of the CIE1931Y stimulus value of each color sample under illumination by a reference light source.
Colorimetric parameter W for each color sample under the synthesized spectrumk,i *，Uk,i *，Vk,i *，
In the formulae (38) to (40),
and
respectively showing chromaticity coordinates u of the ith sample after chromaticity shift correction under the irradiation of the synthesized spectrum0And v0Respectively, the chromaticity coordinates of the reference light source.
Represents the power 1/3 of the CIE1931Y stimulus value of each color sample under the synthetic spectrum illumination.
And S55, calculating the color difference of each color sample under the irradiation of the synthesized spectrum and the reference light source according to the chromaticity parameters of each color sample under the synthesized spectrum and the reference light source. Wherein the color difference Δ E is:
formula (41), Wr,i *，Ur,i *，Vr,i *Denotes the colorimetric parameter, W, of each color sample under a reference light sourcek,i *，Uk,i *，Vk,i *The colorimetric parameters of each color sample under the synthesized spectrum are shown.
S56, calculating the corresponding color rendering index of each color sample according to the color difference of the color samples, wherein the corresponding special color rendering index R of each color sampleiComprises the following steps:
Ri＝100-4.6ΔEi (42)
general color rendering index RaThe color developing index is calculated from the special color developing indexes of No. 1-8 standard color samples:
and S6, judging whether the target variable value of the synthesized spectrum meets the requirement of a preset spectrum adjustment target variable, if not, repeating the steps S3-S6 until the obtained target variable value of the synthesized spectrum meets the requirement of the preset spectrum adjustment target variable, and obtaining the synthesized spectrum meeting the requirement of the lighting application.
It should be noted that, when the preset target variable for spectrum adjustment is only color quality parameters such as color temperature, chromaticity difference, color rendering index, etc., the spectrum adjustment method for the multi-channel LED lighting system of the present application further includes the following steps:
because the above parameters are only related to the relative spectral distribution, on the basis of the above calculation, the maximum dimming dynamic range DR under the current dimming ratio of each channel can be determined:
in the formula (44), phimaxThe maximum luminous flux which can be generated by the multi-channel LED lighting system under the condition that the luminous flux generated by the multi-channel LED lighting system meets the set color quality target variable according to the randomly generated control coefficient proportion is represented by the following calculation formula:
in formula (45), max (k 1, p)]) Represents the maximum value among the control coefficient samples; kmThe maximum value of the spectral visual efficiency of the radiation is represented, and the value of the maximum value can be 683 lm/W; p (n) represents the spectral power distribution array P [1, m ] of the synthesized spectrum]The nth column of data; v (n) represents a wavelength of λmin(n-1) Δ λ corresponding to spectral luminous efficiency: and delta lambda represents the wavelength step of the spectral power distribution array, and is generally 5 nm.
ΦminThe minimum luminous flux which can be generated by the multi-channel LED lighting system under the condition that the luminous flux generated by the multi-channel LED lighting system meets the set color quality target variable according to the randomly generated control coefficient proportion is represented by the following calculation formula:
in the formula (46), min (k 1, p) represents the minimum value of the nonzero coefficient in the control coefficient sample; q represents the AD conversion digit of the multi-channel LED lighting system control system, and can be 8, 14 or 16.
In step S5, a corresponding calculation method may be set according to the user' S requirement to calculate the target variable value of the synthesized spectrum.
The present application is further illustrated by the following specific examples.
S11, according to the lighting application requirements, the preset spectrum adjustment target variable and the requirements thereof are specifically as follows:
the color temperature is: 4000K +/-10K;
the absolute value of chromaticity difference with the reference light source is not more than 0.003;
the general color rendering index is: ra is more than or equal to 80.
S12, selecting an 11-channel LED lighting system, wherein the absolute spectral power distribution curve of each channel is shown in figure 2. And measuring an absolute spectral power distribution array of each channel chip under the rated power of each channel chip.
S13, randomly sampling the control coefficient between [0,1] of the 11-channel LED lighting system by using a Monte Carlo sampling method, generating a control coefficient sample between [0,1] of the 11-channel LED lighting system, and forming an array k [1,11 ].
And S14, repeatedly using the randomly generated control coefficient sample and the 11-channel absolute spectral power distribution array to generate a composite spectrum.
And S15, respectively calculating the color temperature, the chromaticity difference and the color rendering index of the synthesized spectrum.
And S16, judging whether the color temperature, the chromaticity difference and the color rendering index of the synthesized spectrum meet the requirements of the preset spectrum regulation target variable, if not, repeating the steps S13-S16 until the color temperature, the chromaticity difference and the color rendering index of the obtained synthesized spectrum meet the requirements of the preset spectrum regulation target variable, and obtaining the synthesized spectrum meeting the lighting application requirements.
And S17, calculating the control coefficient of each channel of the 11-channel LED lighting system, and the correlated color temperature, chromaticity difference and general color rendering index of the synthesized spectrum, as shown in Table 1. The spectral curves of the synthesized spectra that meet the preset spectral tuning target variables and their requirements are shown in fig. 3.
TABLE 111 control coefficients for each channel of a channel LED lighting system and target variable values for the composite spectrum
According to the maximum value of the control coefficient obtained in table 1, the maximum luminous flux of the 11-channel LED lighting system at the current dimming ratio of each channel is:
according to the minimum value of the control coefficient obtained in table 1 and the AD conversion bit of the 11-channel LED lighting system control system, the minimum light flux of the 11-channel LED lighting system under the current dimming proportion of each channel is:
when the AD conversion digit is 8 digits, the minimum luminous flux of the 11-channel LED lighting system under the current dimming proportion of each channel is 21.2 lm.
When the number of AD conversion bits is 14, the minimum luminous flux of the 11-channel LED lighting system under the current dimming proportion of each channel is 0.33 lm.
When the AD conversion digit is 16 digits, the minimum luminous flux of the 11-channel LED lighting system under the current dimming proportion of each channel is 0.08 lm.
Obtaining the dimming dynamic range of the 11-channel LED lighting system according to the maximum light flux and the minimum light flux of the 11-channel LED lighting system under the current dimming proportion of each channel as follows:
when the number of AD conversion bits is 8 bits, the dynamic range is 47.8: 1.
When the number of AD conversion bits is 14, the dynamic range is 3056.4: 1.
When the number of AD conversion bits is 16, the dynamic range is 12225.5: 1.
The core of the health lighting is that the luminous flux output and the spectrum of the light source are dynamically adjusted according to time, place and people, so that a healthy, comfortable and efficient light environment is created for people. In order to solve the problem that the characteristics of color temperature, color rendering index and the like of a two-channel and three-channel dimming product widely used in lighting application cannot be effectively controlled, the development of a mature and stable multi-channel LED lighting system becomes an important research content of lighting application. When the number of channels is greater than 3, the control algorithm becomes very complex, and the control strategy cannot be realized by simple linear transformation. The spectrum adjusting method of the multi-channel LED illuminating system can effectively realize illumination control of the multi-channel LED illuminating system (the number of channels is more than 3), thereby providing important technical support for research and development of related products.
The foregoing is merely an illustrative embodiment of the present application, and any equivalent changes and modifications made by those skilled in the art without departing from the spirit and principles of the present application shall fall within the protection scope of the present application.
Claims (10)
1. A spectrum adjusting method of a multi-channel LED illuminating system is characterized by comprising the following steps:
presetting a spectrum adjustment target variable and requirements thereof according to lighting application requirements;
generating a composite spectrum of the multi-channel LED lighting system;
calculating a target variable value of the synthesized spectrum;
judging whether the target variable value of the synthesized spectrum meets the requirement of a preset spectrum adjustment target variable, if not, regenerating the synthesized spectrum of the multi-channel LED lighting system until the target variable value of the obtained synthesized spectrum meets the requirement of the preset spectrum adjustment target variable, and obtaining the synthesized spectrum meeting the lighting application requirement;
wherein,
the process of generating the composite spectrum of the multi-channel LED lighting system is:
measuring an absolute spectral power distribution array P [ P, m ] of chips of each channel in the multi-channel LED lighting system under the rated power of the chips; p represents the number of channels of the LED lighting system (p > 3); m represents the number of spectral power distribution arrays;
randomly sampling a control coefficient between [0,1] of a multi-channel LED lighting system to generate a control coefficient sample k [1, p ] between [0,1] of the multi-channel LED lighting system;
generating a spectrum power distribution array P [1, m ] of a synthesized spectrum according to an absolute spectrum power distribution array P [ P, m ] of each channel chip under the rated power of the chip and a control coefficient sample k [1, P ] of a multi-channel LED lighting system between [0,1], and obtaining the synthesized spectrum, wherein the spectrum power distribution array P [1, m ] of the synthesized spectrum is as follows: p [1, m ] ═ k [1, P ] × P [ P, m ].
2. The method of claim 1, wherein the number m of the spectral power distribution arrays is chosen to have a value in the range of m
Where Δ λ represents the wavelength step of the spectral power distribution array, λmaxRepresenting the maximum wavelength, λ, of the array of spectral power distributionsminRepresenting the minimum wavelength of the array of spectral power distributions.
3. The method of claim 1, wherein calculating the target variable value of the synthesized spectrum comprises calculating a correlated color temperature of the synthesized spectrum by:
correlated color temperature T of the synthesized spectrumcpComprises the following steps:
Tcp＝-449*nk 3+3525*nk 2-6823.3*nk+5520.33，
in the formula, nkThe coefficient of fit is represented by the value of,
nk＝(xk-0.332)/(yk-0.1858)，
in the formula, xkChromaticity coordinate, y, representing the X-axis of the composite spectrumkChromaticity coordinates representing the Y-axis of the composite spectrum;
in the formula, Xk，Yk，ZkRepresenting tristimulus values of the resultant spectrumThe formula is as follows:
in the formula, g represents a normalized coefficient,
sk(λ) represents the relative spectral power distribution of the composite spectrum; Δ λ represents the wavelength test interval of the relative spectral power distribution of the light source;
and
the color matching function representing a standard colorimetric observer is obtained from a look-up table.
4. The method of claim 3, wherein calculating the target variable value for the synthesized spectrum comprises calculating chromaticity difference between the synthesized spectrum and a reference light source by:
in the formula uk,vkChromaticity representing synthesized spectrumCoordinate ur,vrIndicating chromaticity coordinates of the reference light source;
wherein,
in the formula, Xr，Yr，ZrRepresenting the tristimulus value of the reference light source, calculated by the following formula:
in the formula, sr(λ) represents the relative spectral power distribution of the resultant spectrum.
5. The method of claim 4, wherein calculating the target variable value of the composite spectrum comprises calculating a color rendering index of the composite spectrum;
wherein, the calculation process of the special color rendering index corresponding to each color sample is as follows:
judging whether the chromaticity difference between the synthesized spectrum and the reference light source is less than 5.4 x 10-3If yes, calculating CIE1931XYZ stimulus values of the color samples under the irradiation of the synthesized spectrum and the reference light source respectively;
respectively calculating u, v chromaticity coordinates of each color sample under the irradiation of the synthesized spectrum and the reference light source according to CIE1931XYZ stimulus values of each color sample under the irradiation of the synthesized spectrum and the reference light source;
correcting the chromaticity shift of chromaticity coordinates of the color samples under the irradiation of the synthesized spectrum to obtain chromaticity coordinates of each color sample under the synthesized spectrum after the chromaticity shift correction;
respectively calculating the chromaticity parameters of the color samples under the synthetic spectrum and the reference light source;
according to the chromaticity parameters of the color samples under the synthetic spectrum and the reference light source, calculating to obtain the color difference of the color samples under the irradiation of the synthetic spectrum and the reference light source respectively;
and calculating the corresponding color rendering index of each color sample according to the color difference of the color samples.
6. The method for spectral modification of a multi-channel LED lighting system as claimed in claim 5, wherein the CIE1931XYZ tristimulus values of the color samples under the synthesized spectral illumination are calculated according to the following formula:
the CIE1931XYZ tristimulus values of each color sample under the irradiation of the reference light source are calculated according to the following formula:
wherein i represents the number of the color sample to be evaluated; rho (lambda)iRepresenting the visible spectral reflectance of the color sample.
7. The method of claim 6, wherein the u, v chromaticity coordinates u of each color sample under the combined spectrum illumination are u, v chromaticity coordinates uk,i,vk,iCalculated according to the following formula:
u, v chromaticity coordinate u of each color sample under the irradiation of reference light sourcer,i,vr,iCalculated according to the following formula:
8. method for spectral modification of a multi-channel LED lighting system according to claim 6, wherein the respective special color rendering index R of each color sampleiComprises the following steps:
Ri＝100-4.6ΔEi，
general color rendering index RaThe color developing index is calculated from the special color developing indexes of No. 1-8 standard color samples:
in the formula,. DELTA.EiThe color difference of each color sample under the irradiation of the synthesized spectrum and the reference light source respectively is shown,
Wr,i *，Ur,i *，Vr,i *denotes the colorimetric parameter, W, of each color sample under a reference light sourcek,i *，Uk,i *，Vk,i *The colorimetric parameters of each color sample under the synthesized spectrum are shown.
9. The method for spectral modification of a multi-channel LED lighting system according to any one of claims 1 to 5, further comprising the steps of:
determining the maximum dimming dynamic range DR under the current dimming proportion of each channel:
in the formula phimaxRepresenting control coefficient proportions according to random generationWhen the luminous flux generated by the multi-channel LED lighting system meets the condition of setting the color quality target variable, the maximum luminous flux which can be generated by the multi-channel LED lighting system has the following calculation formula:
in the formula, max (k 1, p)]) Represents the maximum value among the control coefficient samples; kmRepresents the maximum value of the spectral visual performance of the radiation; p (n) represents the spectral power distribution array P [1, m ] of the synthesized spectrum]The nth column of data; v (n) represents a wavelength of λmin(n-1) Δ λ corresponding to spectral luminous efficiency: Δ λ represents the wavelength step of the spectral power distribution array;
Φminthe minimum luminous flux which can be generated by the multi-channel LED lighting system under the condition that the luminous flux generated by the multi-channel LED lighting system meets the set color quality target variable according to the randomly generated control coefficient proportion is represented by the following calculation formula:
in the formula, min (k 1, p) represents the minimum value of the nonzero coefficient in the control coefficient sample; q represents the AD conversion number of the control system of the multi-channel LED lighting system.
10. The method for spectral modification of a multi-channel LED lighting system according to claim 9, wherein the multi-channel LED lighting system control system AD converts the number of bits to 8, 14 or 16.
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| CN113498237B (en) * | 2020-03-20 | 2023-03-28 | 杭州海康威视数字技术股份有限公司 | Driving current control method and mixed light supplement control method for multispectral light supplement lamp |
| CN114494671A (en) * | 2021-08-31 | 2022-05-13 | 山东蓝洋智能科技有限公司 | Multispectral light source control device for visual identification |
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