CN105160140A - Design method of energy-saving lighting source spectrum - Google Patents

Design method of energy-saving lighting source spectrum Download PDF

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CN105160140A
CN105160140A CN201510684130.6A CN201510684130A CN105160140A CN 105160140 A CN105160140 A CN 105160140A CN 201510684130 A CN201510684130 A CN 201510684130A CN 105160140 A CN105160140 A CN 105160140A
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spectrum
energy
population
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CN105160140B (en
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张晶晶
王宏
余志华
金星
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Lvxiang Network Technology Wuxi Co ltd
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China University of Geosciences
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Abstract

The invention provides a design method of an energy-saving lighting source spectrum and aims at solving the problem of energy waste due to that an invalid spectrum of an existing lighting source is absorbed by an object in the prior art. The design method comprises the following steps: (1) obtaining spectral reflection properties; (2) establishing an optimization goal and a constraint condition; (3) solving a genetic algorithm; and (4) further obtaining a group of spectral data lowest in energy consumption according to a chromosome lowest in fitness obtained in the previous step, wherein the data is the energy-saving lighting source spectrum of an object to be lighted. In the design method, firstly, the spectral reflection properties of the surface of the object to be lighted are obtained, and secondly, the light source spectrum is optimized by use of the genetic algorithm under the condition of ensuring that the chromatic aberration between the designed light source and a white light source is smaller than values within a human eye perceptible range; as a result, the portion, absorbed by the object, of the spectrum is reduced, the utilization rate of the spectrum and the energy utilization rate are increased, and the purposes of saving energy and lighting are achieved. The design method of the energy-saving lighting source spectrum is applicable to lighting such as display lighting and furniture lighting in buildings.

Description

A kind of Energy--Saving Illuminating Source spectrum method for designing
Technical field
The present invention relates to Energy--Saving Illuminating Source, particularly relate to a kind of Energy--Saving Illuminating Source spectrum method for designing.
Background technology
At present, the energy resource consumption that electric source lighting produces occupies larger proportion in the consumption of electric power total energy.General in general illumination and exhibition Chen Zhaoming is the good white light source of colour developing quality, and this light source is more even in the spectral power distribution of visible light wave range.Human eye can the color of object surface of perception, determine to only have the spectral energy by body surface reflects to enter human eye by the spectral reflection characteristic on light source light spectrum and illuminated objects surface, could by the perception of people institute; The light source light spectrum Conversion of Energy that object absorbs is the heat energy of object, nonsensical to Human Perception, is considered to the waste of spectral energy and the waste of the energy.
For exhibition Chen Zhaoming or architectural lighting, particularly illuminated objects is solid color or several color simple concatenation, can by regulating the spectrum of lighting source, reduce object to the absorptivity of light source light spectrum energy, improve object to the reflectivity of light source light spectrum energy, after meanwhile ensureing that lighting source regulates, human body does not produce large misalignment to the perception of object color compared with white light source, the utilization factor of light source light spectrum can be improved, absorb the condition of identical lumen flux at human eye under, save the electric energy that light source consumes.
In exhibition Chen Zhaoming or architectural lighting, how by the reflection behavior of surface of illuminated objects, the spectrum of design lighting source, while making lighting source energy produce identical lumen flux after reflection in human eye, reduces the power consumption of light source.This is the problem needing in the design of current lighting source to solve.
Summary of the invention
The present invention proposes a kind of Energy--Saving Illuminating Source spectrum method for designing, solve the invalid spectrum that in prior art, current lighting source exists and absorbed the problem causing energy dissipation by object.
Realize the technical scheme that above-mentioned purpose of the present invention adopts as follows:
A kind of Energy--Saving Illuminating Source spectrum method for designing, it is characterized in that comprising the following steps: (1), acquisition spectral reflection characteristic: the surface of object to be illuminated is divided into N number of region, with the reflection behavior of surface R of spectrum continuously adjustable LASER Light Source test above-mentioned zone i(λ), i=1 ... N;
2.1), minimum target optimization (2) optimization aim and constraint condition, is set up:: using object to be illuminated as secondary souce, under the condition producing equal luminous flux, the ratio between the luminous power of the luminous power consumption and reference white radiant S2 that calculate design light source S1 consumes be minimum optimization aim; 2.2), determine constraint condition: object to be illuminated design light source S1 and reference white radiant S2 illumination under, each field color aberration of the viewed body surface of human eye color color difference typical value CD t≤ 1,
CD t = Σ i = 1 N ΔE a b i * N ;
3.1), genetic coding (3), genetic algorithm for solving:: the relative spectral power representing spectrum wavelength place with 25 bits, visible light wave range is 380nm ~ 780nm, the N number of wavelength points of uniform design in this wave band, by representing binary number end to end formation N section of relative spectral power, binary length is the chromosome of 25N, is one group of light source light spectrum; 3.2), initial population generates: in [0,1] scope, random selecting one group of binary number represents the relative spectral power at variable wavelength place, and form a chromosome, repetitive operation is until chromosome number reaches population number M; 3.3), objective function calculates: calculate every chromosomal objective function of bar in colony, namely 3.4), fitness function calculates: sort to the chromosomal target function value of every bar in population, calculate corresponding fitness function; 3.5), genetic manipulation is carried out: produce new population, the chromosome that the fitness obtained is minimum by simulation biological heredity process;
(4), according to the minimum chromosome of the fitness obtained in upper step, obtain having one group of spectroscopic data that lowest energy consumes further, these data are the Energy--Saving Illuminating Source spectrum of this object to be illuminated.
Step 2.1) and step 3.3) in computing method be specially:
F ( x → ) = Σ i = 1 N ∫ λ = 380 780 S 2 ( λ ) · R i ( λ ) · V ( λ ) d λ Σ i = 1 N ∫ λ = 380 780 S 1 ( λ ) · R i ( λ ) · V ( λ ) d λ · ∫ λ = 380 780 S 1 ( λ ) d λ ∫ λ = 380 780 S 2 ( λ ) d λ
Wherein, S 1(λ) be the normalization spectrum of design light source S1, S 2(λ) be the normalization spectrum of reference white radiant S2, V (λ) is human eye vision function.
Step 3.5) in the concrete grammar of genetic manipulation as follows: A replicate run: choose the chromosome that in current population, fitness function is minimum and put into new population; B interlace operation: intersect according to probability P, two chromosomes in the current population of random selecting, chiasmatypy section, produces two new chromosomes and puts into population; C mutation operation: make a variation according to probability P m, the item chromosome in the current population of random selecting, extracts the regeneration that any one gene carries out numerical value respectively, the chromosome of generation is put into new population in chromosomal N section; D supplies population: use the method for initialization of population to generate new chromosome, supply population chromosome number; E algorithm terminates: the continuous computing of algorithm, until stop computing after reaching iterations, then exports the minimum chromosome of fitness, otherwise repeats step 3.3)-3.5) operation.
Compared with prior art, the present invention has the following advantages: the spectral reflection characteristic first obtaining illuminated objects surface in the present invention, then under the designed light source of guarantee and white light source aberration are less than the condition of the discernable scope of human eye, genetic algorithm is used to be optimized light source light spectrum, reduce the part absorbed by object in spectrum, improve spectrum utilization factor and energy utilization rate, reach the object of energy-saving illumination.The present invention can while guarantee lighting quality, and the useless spectral energy of maximized reduction light source, reaches energy-conservation object.The present invention can be used for the illumination such as furniture in exhibition Chen Zhaoming and buildings.
Accompanying drawing explanation
Fig. 1 is the reflection behavior of surface figure of object to be illuminated in embodiment 1;
Fig. 2 is light source light spectrum and the reference light source spectrum of optimization when object color to be illuminated is more evenly unified in embodiment 1;
Fig. 3 is the piecemeal schematic diagram of body surface to be illuminated in embodiment 2;
Fig. 4 is the reflection characteristic figure of body surface to be illuminated in embodiment 2;
Fig. 5 is energy-conserving light source spectrum and the incandescent light source spectrum of optimization after object piecemeal to be illuminated in embodiment 2.
Embodiment
Below in conjunction with drawings and the specific embodiments, detailed specific description is done to the present invention, but protection scope of the present invention is not limited to following examples.
Embodiment 1
In the present embodiment, object color to be illuminated is more single, and the method for this object design Energy--Saving Illuminating Source spectrum to be illuminated is as follows:
(1), spectral reflection characteristic is obtained: due to object color to be illuminated more evenly unification, then regard object to be illuminated as an entirety, with its reflection behavior of surface R of the continuously adjustable LASER Light Source test of spectrum i(λ), i=1, the body surface reflection characteristic measured as shown in Figure 1.
(2) optimization aim and constraint condition, is set up:
2.1), minimum target optimization: using object to be illuminated as secondary souce, under the condition producing equal luminous flux, the ratio between the luminous power of the luminous power consumption and reference white radiant S2 that calculate design light source S1 consumes be minimum optimization aim.
computing method be specially:
F ( x → ) = Σ i = 1 N ∫ λ = 380 780 S 2 ( λ ) · R i ( λ ) · V ( λ ) d λ Σ i = 1 N ∫ λ = 380 780 S 1 ( λ ) · R i ( λ ) · V ( λ ) d λ · ∫ λ = 380 780 S 1 ( λ ) d λ ∫ λ = 380 780 S 2 ( λ ) d λ , Wherein, S 1(λ) be the normalization spectrum of design light source S1, S 2(λ) be the normalization spectrum of reference white radiant S2, V (λ) is human eye vision function, Σ i = 1 N ∫ λ = 380 780 S 2 ( λ ) · R i ( λ ) · V ( λ ) d λ Σ i = 1 N ∫ λ = 380 780 S 1 ( λ ) · R i ( λ ) · V ( λ ) d λ . For design light source S1 and reference white radiant S2 to produce the condition of equal luminous flux at body surface under, the ratio of two light sources spectral radiance maximal value separately.
2.2), determine constraint condition: object to be illuminated design light source S1 and reference white radiant S2 illumination under, human eye viewed color of object surface aberration CD t≤ 1,
CD t = Σ i = 1 1 ΔE a b i * N ; N=1 herein.
(3), genetic algorithm for solving:
3.1), genetic coding: the relative spectral power representing spectrum wavelength place with 25 bits, visible light wave range is 380nm ~ 780nm, uniform design 81 wavelength points in this wave band, by representing the end to end formation of binary number one 81 sections of relative spectral power, binary length be 2025 chromosome (individuality), be one group of light source light spectrum;
3.2), initial population generates: in [0,1] scope, random selecting one group of binary number represents the relative spectral power at variable wavelength place, and form a chromosome, repetitive operation is until chromosome number reaches population number 40;
3.3), objective function calculates: calculate every chromosomal objective function of bar in colony, namely circular is shown in step (2);
3.4), fitness function calculates: sort to the order that the chromosomal target function value of every bar in population carries out from small to large, according to the position calculation corresponding fitness function of every bar chromosomal target functional value in arrangement population, computing method are: that is wherein N is number of individuals in population 40, Pos is the position of chromosomal target functional value in arrangement population;
3.5), genetic manipulation is carried out: produce new population, the chromosome that the fitness obtained is minimum by simulation biological heredity process, concrete grammar is:
A replicate run: choose the chromosome that in current population, fitness function is minimum and put into new population;
B interlace operation: intersect according to probability 0.7, two chromosomes in the current population of random selecting, chiasmatypy section, produces two new chromosomes and puts into population;
C mutation operation: make a variation according to probability 0.7, the item chromosome in the current population of random selecting, extracts the regeneration that any one gene carries out numerical value respectively, the chromosome of generation is put into new population in chromosomal N section;
D supplies population: use the method for initialization of population to generate new chromosome, supply population chromosome number;
E algorithm terminates: the continuous computing of algorithm, until stop computing after reaching iterations, then exports the minimum chromosome of fitness, otherwise repeats step 3.3)-3.5) operation.
(4), according to the minimum chromosome of the fitness obtained in upper step, obtain having one group of spectroscopic data that lowest energy consumes further, these data are the Energy--Saving Illuminating Source spectrum of this object to be illuminated.Be illustrated in figure 2 energy-conserving light source spectrum and the incandescent light source spectrum of optimization, aberration is the energy resource consumption ratio of 1, two light sources is 0.47, namely can save energy 53%.
Embodiment 2
In the present embodiment, object color to be illuminated is uneven, and the method for this object design Energy--Saving Illuminating Source spectrum to be illuminated is as follows:
(1), obtain spectral reflection characteristic: because object color to be illuminated is uneven, then the object for illumination is divided into 15 pieces, with the reflection behavior of surface R of its each piecemeal of the continuously adjustable LASER Light Source test of spectrum i(λ), i=1 ... N; As shown in Figure 3, as shown in Figure 4, in Fig. 4,1-15 is respectively region 1, reflection characteristic corresponding to 2 to region, region 15 to the reflection characteristic in each region of the body surface measured to object piecemeal.
(2) optimization aim and constraint condition, is set up:
2.1), minimum target optimization: using object to be illuminated as secondary souce, under the condition producing equal luminous flux, the ratio between the luminous power of the luminous power consumption and reference white radiant S2 that calculate design light source S1 consumes be minimum optimization aim.
computing method be specially:
F ( x → ) = Σ i = 1 15 ∫ λ = 380 780 S 2 ( λ ) · R i ( λ ) · V ( λ ) d λ Σ i = 1 15 ∫ λ = 380 780 S 1 ( λ ) · R i ( λ ) · V ( λ ) d λ · ∫ λ = 380 780 S 1 ( λ ) d λ ∫ λ = 380 780 S 2 ( λ ) d λ , Wherein, S 1(λ) be the normalization spectrum of design light source S1, S 2(λ) be the normalization spectrum of reference white radiant S2, V (λ) is human eye vision function, Σ i = 1 15 ∫ λ = 380 780 S 2 ( λ ) · R i ( λ ) · V ( λ ) d λ Σ i = 1 15 ∫ λ = 380 780 S 1 ( λ ) · R i ( λ ) · V ( λ ) d λ . For design light source S1 and reference white radiant S2 to produce the condition of equal luminous flux at body surface under, the ratio of two light sources spectral radiance maximal value separately.
2.2), determine constraint condition: object to be illuminated design light source S1 and reference white radiant S2 illumination under, the viewed body surface of human eye each piece of color aberration (but 10 is human eye discernable acceptable color aberration), color color difference typical value CD t≤ 1 (1 is human eye color aberration inconspicuous)
CD t = Σ i = 1 N ΔE a b i * N ; N=15 herein.
(3), genetic algorithm for solving:
3.1), genetic coding: the relative spectral power representing spectrum wavelength place with 25 bits, visible light wave range is 380nm ~ 780nm, uniform design 81 wavelength points in this wave band, by representing the end to end formation of binary number one 81 sections of relative spectral power, binary length be 2025 chromosome (individuality), be one group of light source light spectrum;
3.2), initial population generates: in [0,1] scope, random selecting one group of binary number represents the relative spectral power at variable wavelength place, and form a chromosome, repetitive operation is until chromosome number reaches population number 40;
3.3), objective function calculates: calculate every chromosomal objective function of bar in colony, namely circular is shown in step (2);
3.4), fitness function calculates: sort to the order that the chromosomal target function value of every bar in population carries out from small to large, according to the position calculation corresponding fitness function of every bar chromosomal target functional value in arrangement population, computing method are: that is wherein N is number of individuals in population 40, Pos is the position of chromosomal target functional value in arrangement population;
3.5), genetic manipulation is carried out: produce new population, the chromosome that the fitness obtained is minimum by simulation biological heredity process, concrete grammar is:
A replicate run: choose the chromosome that in current population, fitness function is minimum and put into new population;
B interlace operation: intersect according to probability 0.7, two chromosomes in the current population of random selecting, chiasmatypy section, produces two new chromosomes and puts into population;
C mutation operation: make a variation according to probability 0.7, the item chromosome in the current population of random selecting, extracts the regeneration that any one gene carries out numerical value respectively, the chromosome of generation is put into new population in chromosomal N section;
D supplies population: use the method for initialization of population to generate new chromosome, supply population chromosome number;
E algorithm terminates: the continuous computing of algorithm, until stop computing after reaching iterations, then exports the minimum chromosome of fitness, otherwise repeats step 3.3)-3.5) operation.
(4), according to the minimum chromosome of the fitness obtained in upper step, obtain having one group of spectroscopic data that lowest energy consumes further, these data are the Energy--Saving Illuminating Source spectrum of this object to be illuminated.Be illustrated in figure 5 energy-conserving light source spectrum and the incandescent light source spectrum of optimization, color difference typical value is 1, and the aberration of each sample is followed successively by: 2.93,1.72,1.39,0.66,0.21,0.12,0.42,0.51,0.35,0.52,0.55,0.58,0.47,2.08,2.47.The energy resource consumption ratio of two light sources is 47%, namely can save energy 53%.

Claims (3)

1. an Energy--Saving Illuminating Source spectrum method for designing, it is characterized in that comprising the following steps: (1), acquisition spectral reflection characteristic: the surface of object to be illuminated is divided into N number of region, with the reflection behavior of surface R of spectrum continuously adjustable LASER Light Source test above-mentioned zone i(λ), i=1 ... N;
2.1), minimum target optimization (2) optimization aim and constraint condition, is set up:: using object to be illuminated as secondary souce, under the condition producing equal luminous flux, the ratio between the luminous power of the luminous power consumption and reference white radiant S2 that calculate design light source S1 consumes be minimum optimization aim; 2.2), determine constraint condition: object to be illuminated design light source S1 and reference white radiant S2 illumination under, each field color aberration of the viewed body surface of human eye color color difference typical value CD t≤ 1,
CD t = Σ i = 1 N ΔE a b i * N ;
3.1), genetic coding (3), genetic algorithm for solving:: the relative spectral power representing spectrum wavelength place with 25 bits, visible light wave range is 380nm ~ 780nm, the N number of wavelength points of uniform design in this wave band, by representing binary number end to end formation N section of relative spectral power, binary length is the chromosome of 25N, is one group of light source light spectrum; 3.2), initial population generates: in [0,1] scope, random selecting one group of binary number represents the relative spectral power at variable wavelength place, and form a chromosome, repetitive operation is until chromosome number reaches population number M; 3.3), objective function calculates: calculate every chromosomal objective function of bar in colony, namely 3.4), fitness function calculates: sort to the chromosomal target function value of every bar in population, calculate corresponding fitness function; 3.5), genetic manipulation is carried out: produce new population, the chromosome that the fitness obtained is minimum by simulation biological heredity process;
(4), according to the minimum chromosome of the fitness obtained in upper step, obtain having one group of spectroscopic data that lowest energy consumes further, these data are the Energy--Saving Illuminating Source spectrum of this object to be illuminated.
2. Energy--Saving Illuminating Source spectrum method for designing according to claim 1, is characterized in that: step 2.1) and step 3.3) in computing method be specially:
F ( x → ) = Σ i = 1 N ∫ λ = 380 780 S 2 ( λ ) · R i ( λ ) · V ( λ ) d λ Σ i = 1 N ∫ λ = 380 780 S 1 ( λ ) · R i ( λ ) · V ( λ ) d λ · ∫ λ = 380 780 S 1 ( λ ) d λ ∫ λ = 380 780 S 2 ( λ ) d λ
Wherein, S 1(λ) be the normalization spectrum of design light source S1, S 2(λ) be the normalization spectrum of reference white radiant S2, V (λ) is human eye vision function.
3. Energy--Saving Illuminating Source spectrum method for designing according to claim 1, is characterized in that: step 3.5) in the concrete grammar of genetic manipulation as follows: A replicate run: choose the chromosome that in current population, fitness function is minimum and put into new population; B interlace operation: intersect according to probability P, two chromosomes in the current population of random selecting, chiasmatypy section, produces two new chromosomes and puts into population; C mutation operation: make a variation according to probability P m, the item chromosome in the current population of random selecting, extracts the regeneration that any one gene carries out numerical value respectively, the chromosome of generation is put into new population in chromosomal N section; D supplies population: use the method for initialization of population to generate new chromosome, supply population chromosome number; E algorithm terminates: the continuous computing of algorithm, until stop computing after reaching iterations, then exports the minimum chromosome of fitness, otherwise repeats step 3.3)-3.5) operation.
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Patentee before: CHINA University OF GEOSCIENCES (WUHAN CITY)

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Granted publication date: 20180626