CN105007676B - Spectral power distribution extracting method and system based on LED mixed light Color models - Google Patents
Spectral power distribution extracting method and system based on LED mixed light Color models Download PDFInfo
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Abstract
A kind of spectral power distribution extracting method and system based on LED mixed light Color models, including carrying out the global sampling in LED intelligent light source control signals space, concentrate each signal value driving LED light source to light according to global sample using default LED light emitting controls mode, form luminous sample set；Each luminous sample of measurement gained corresponds to spectral power point and illumination respectively, generates light-emitting data collection；Screened according to default illumination threshold, obtain final light-emitting data collection, and concentrated from global sample and choose corresponding sample of signal, form final signal spatial sampling sample set；BP neural network is built, and establishes the corresponding reverse model of LED mixed lights colour generation on this basis；For arbitrary target spectral power distribution, control signal is inputted using reverse model solution corresponding light source, driving LED light source lights, and measurement obtains real spectrum power distribution data.The invention can ensure that the accuracy of LED light source intelligent dimming, and it is easy to implement.
Description
Technical field
The invention belongs to LED light source intelligent lighting technical field, and in particular to a kind of light based on LED mixed light Color models
The method and system of spectral power distributions extraction.
Background technology
From the 1990s, the mankind initially enter the LED illumination epoch.LED has color as forth generation lighting source
The technical advantages such as light is adjustable, efficient low-heat, energy-conserving and environment-protective, flexible durable.At this stage, as LED intelligent light sources manufacturing technology is sent out
Increasingly maturation, advantage of such light source in terms of Illumination adjusting flexibility of exhibition increasingly highlight, and it opens up Chen Zhaoming, family in museum
The application for occupying the fields such as illumination, ecology illumination and office lighting is increasingly extensive.
Wherein, with the sustainable development of LED Dimmable lighting technologies, application of such lighting system in color rendering field
Advantage gradually reveals.In recent years, about LED Mixed Lights Illuminations in terms of research be increasingly subject to international academic community and industry
The concern on boundary, particularly require higher place to opening up old lighting environment and source mass in museum and odeum etc..
Bibliography 1.A Liu, A Tuzikas, A Zukauskas, R Vaicekauskas, Pi Vitta and M
Shur,Photonics Journal,IEEE,5(2013)6801010-6801010.
Bibliography 2.Q Zhai, M Luo and X Liu, Lighting Research and Technology
(2014)1477153514541832.
Bibliography 3.M Wei, KW Houser, GR Allen and WW Beers, LEUKOS, 10 (2014) 119-
131.
For above-mentioned application, its technological core is that how to build LED light source drive software control signal sends out with LED light source
The relevance model of light spectral power distribution therebetween, and then by controlling LED light emitting control drive softwares to enter LED light source
Row light emitting control, it is final accurately to obtain the luminescent spectrum power distribution with application-specific value.On the whole, technique
It is more novel, due to being still in the starting stage to the research in terms of LED mixed light colouration mechanisms outside Current Domestic, for how to build
Vertical relevance model problem between intelligent LED control signal and corresponding light source spectral power distribution, there has been no good at present in boundary
Solves method well.In view of the above-mentioned problems, academic circles at present and industrial quarters are just being directed to the research of correlation technique, to realize LED
Light source intelligent mixed light is precisely controlled.
The content of the invention
The invention aims to solve problem described in background technology, propose that one kind is based on LED mixed light Color models
Spectral power distribution extracting method and system.
The technical scheme is that a kind of spectral power distribution extracting method based on LED mixed light Color models is provided,
Comprise the following steps：
Step 1, the global sampling in LED intelligent light source control signals space is carried out, signal space θ is divided, to difference
Passage uses different spacing gathered datas, the final global sample collection Φ for obtaining LED light source signal spaceθ；
Step 2, using default LED light emitting controls mode according to the global sample collection Φ of step 1 gainedθIn each signal
Value driving LED light source lights, and forms luminous sample set Gθ；
Step 3, spectral radiant emittance meter and the luminous sample set G of the gained of illumination photometer measuring process 2 are utilized respectivelyθIn each luminous sample
This correspondence spectral power distribution ρ (λ) and illumination E, generation and luminous sample set GθLight-emitting data collection G corresponding to provided signals；
Wherein, λ is visible wavelength；
Step 4, to step 3 gained light-emitting data collection GsScreened according to default illumination threshold S, give up illumination and be less than
S low-light (level) sample, obtain final light-emitting data collection Ts, and from the global sample of step 1 gained LED light source signal space
Collect ΦθIt is middle to choose corresponding sample of signal, composition final signal spatial sampling sample set ΦS；
Step 5, with step 4 gained final signal spatial sampling sample set ΦSFor input, sent out with final obtained by step 4
Light data collection TsIn each luminous sample to correspond to spectral power distribution ρ (λ) data be output end, build BP neural network；
Step 6, using step 5 gained BP neural network as forward model, the corresponding reverse model of LED mixed lights colour generation is built；
Step 7, it is corresponding using constructed reversely model solution in step 6 for arbitrary target spectral power distribution T (λ)
Light source input control signal Tθ, and using default LED light emitting controls mode described in step 2, with TθDriven for control signal value
LED light source lights, and measurement obtains real spectrum power distribution data F (λ).
Moreover, realize that modeling error estimates that solution formula is as follows using spectrum simulation degree coefficient,
Wherein, T (λj) be 7) in target optical spectrum power distribution T (λ) in wavelength XjThe spectroscopic data at place, F (λj) be 7) in it is true
Real spectral power distribution F (λ) is in wavelength XjThe spectroscopic data at place.
Moreover, the reverse model of LED mixed light colour generations is built by sequential quadratic programming algorithm in step 6.
Moreover, illumination threshold S value is 80 luxs in step 4.
The present invention correspondingly provides a kind of spectral power distribution extraction system based on LED mixed light Color models, including with
Lower module：
Control signal global space sampling module, for carrying out the global sampling in LED intelligent light source control signals space, it will believe
Number space θ is divided, and different passages are used with different spacing gathered datas, and the overall situation of final LED light source signal space is adopted
Sample sample set Φθ；
Light source luminescent drive module, for being adopted using default LED light emitting controls mode according to control signal global space
Global sample collection Φ obtained by egf blockθIn each signal value driving LED light source light, form luminous sample set Gθ；
Light-emitting data acquisition module, by be utilized respectively based on spectral radiant emittance and illumination photometer measurement light source luminescent drive module
The luminous sample set G of gainedθIn each luminous sample correspond to spectral power distribution ρ (λ) and illumination E, generation and luminous sample set GθCarried
For light-emitting data collection G corresponding to signalθ；Wherein, λ is visible wavelength；
Light-emitting data screening module, for light-emitting data collection G obtained by light-emitting data acquisition modulesAccording to default illumination
Threshold value S is screened, and is given up the low-light (level) sample that illumination is less than S, is obtained final light-emitting data collection Ts, and it is global from control signal
The global sample collection Φ of LED light source signal space obtained by spatial sampling moduleθMiddle to choose corresponding sample of signal, composition is final
Signal space sample collection ΦS；
Light source mixed light forward model builds module, for final signal spatial sampling sample obtained by light-emitting data screening module
This collection ΦSFor input, with final light-emitting data collection T obtained by light-emitting data screening modulesIn each luminous sample correspond to spectral power
It is output end to be distributed ρ (λ) data, builds BP neural network；
The reverse model construction module of light source mixed light, for BP neural network obtained by light source mixed light forward model structure module
For forward model, the corresponding reverse model of LED mixed lights colour generation is built；
Mixed light Color model inspection module, it is anti-using light source mixed light for for arbitrary target spectral power distribution T (λ)
To reverse model solution corresponding light source input control signal T constructed by model construction moduleθ, and using the luminous controls of default LED
Mode processed, with TθLED light source is driven to light for control signal value, measurement obtains real spectrum power distribution data F (λ).
Moreover, mixed light Color model precision characterization module is set, for realizing modeling error using spectrum simulation degree coefficient
Estimation, solution formula is as follows,
Wherein, T (λj) be 7) in target optical spectrum power distribution T (λ) in wavelength XjThe spectroscopic data at place, F (λj) be 7) in it is true
Real spectral power distribution F (λ) is in wavelength XjThe spectroscopic data at place.
Moreover, the reverse model construction module of light source mixed light is reverse by sequential quadratic programming algorithm structure LED mixed light colour generations
Model.
Moreover, illumination threshold S value is 80 luxs in light-emitting data screening module.
A kind of spectral power distribution extractive technique scheme based on LED mixed light Color models proposed by the present invention, utilizes LED
The global sampling in control signal space and the measurement of actual luminescent spectrum power distribution and illumination screening, obtain LED mixed light colour generations and build
Mould experimental data；Realize LED control signal with luminescent spectrum therebetween using BP neural network and sequential quadratic programming algorithm
Forward and reverse relevance model construction, and realize with spectrum simulation degree coefficient the accurate characterization of modeling accuracy.The invention can ensure that
The accuracy of LED light source intelligent dimming, and it is easy to implement.Because technical solution of the present invention has important application meaning, by more
The individual project support：1. fund on Hubei Province Natural Science Fund In The Light general project 2015CFB204,2. China's post-doctors face
2014M5606253.3. State Cultural Relics Bureau's historical relic's protection field Science and Technology studies general problem 2013-YB-HT-034.4.
Central colleges and universities' basic scientific research business special project 2042015kf0035.Technical solution of the present invention is protected, will be to China's associated row
Industry competition first place in the world is significant.
Brief description of the drawings
Fig. 1 is the flow chart of the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing and the embodiment of the present invention, there is provided technical solution of the present invention specifically describes.
As shown in figure 1, a kind of spectral power distribution extracting method based on LED mixed light Color models that embodiment provides,
The intelligent dimming of LED light source is realized ideally, so as to be provided effectively for the intelligent lighting field based on LED mixed lights
Method and means.Embodiment realizes luminous control with Philips Hue intelligent LEDs light sources and Hue Light mixed lights drive software
Be made as example, to set forth herein LED mixed light Color model construction method applicabilities illustrate.It is it should be noted that of the invention
Above-mentioned light source and light emitting control mode are not limited to, for other LED intelligent light sources and corresponding light emitting control mode, this method
It is equally applicable, such as LEDCube light sources and supporting LEDNavigator softwares, when it is implemented, those skilled in the art can be certainly
Row is from specific LED intelligent light sources and corresponding light emitting control mode.
Technical solution of the present invention can be realized automatically when being embodied by those skilled in the art using computer software technology
Operation.The method flow that embodiment provides comprises the following steps：
1) the global sampling in LED intelligent light source control signals space is carried out, signal space θ is divided, determines that LED lights
Control signal sampling channel is θi(i=1,2 ...), different passages use different spacing Ni(i=1,2 ...) sampling method collection number
According to the final global sample collection Φ for obtaining LED light source signal spaceθ；
Embodiment uses Hue Light mixed light software-driven Philips Hue intelligent LED light source luminescents.The software uses
" colour temperature-brightness " (corresponding LED LED control signals sampling channel is colour temperature θ1, brightness θ2) shaping modes, colour temperature sampling value model
Enclose for 154-500, sampling interval N1=10, it is divided into 36 sampled points；Luma samples scope is 0-100, sampling interval N2=2, altogether
Divide 51 sampled points, altogether 36 × 51=1836 experimental data of gathered data, the global sampling sample of LED light source consisting signal space
This collection Φθ。
2) using default LED light emitting controls mode according to global sample collection Φ in 1)θIn each signal value driving LED
Light source luminescent, form luminous sample set Gθ；
Embodiment is with 1836 sample of signal driving Philips Hue of the Hue Light mixed lights software according to 1) middle generation
Intelligent LED light source luminescent, form luminous sample set Gθ。
3) the sample set G that lights is utilized respectively in spectral radiant emittance meter and illumination photometer measurement 2)θIn each luminous sample correspond to light
Spectral power distributions ρ (λ) and illumination E, wherein λ are visible wavelength, generation and luminous sample set GθSent out corresponding to provided signal
Light data collection Gs；
Embodiment luminous sample set G in being measured 2) using Spectroscan PR705 spectral radiant emittances meterθIn 1836 hair
The spectral power distribution of light sample, data in 400nm-700nm wave-length coverages are chosen, using 10nm as the sampling interval, in terms of facilitating
Calculate；Using the illumination of 1836 luminous samples in the measurement 2) of safe bodyguard TES1332A types illumination photometer.Above-mentioned spectral power distribution and photograph
Degrees of data composition light-emitting data collection Gs。
4) to light-emitting data collection G in 3)sScreened according to default illumination threshold S, give up the low photograph that illumination is less than S
Sample is spent, by GsThe middle satisfactory sample of illumination forms final light-emitting data collection Ts, and the LED light source signal space from 1)
Global sample collection ΦθIt is middle to choose corresponding sample of signal, composition final signal spatial sampling sample set ΦS；
When it is implemented, those skilled in the art can voluntarily preset illumination threshold S.Embodiment is used as illumination using 80 luxs
Threshold value, 270 spectral power distributions that illumination in 3) is less than to 80 luxs are given up, remaining 1566 spectral power distributions composition
Final light-emitting data collection Ts；Meanwhile 1566 groups of sample compositions corresponding to being chosen from 1836 groups of sample of signal that 1) sampling obtains
Final signal spatial sampling sample set ΦS。
5) with final signal spatial sampling sample set Φ in 4)SFor input, with final light-emitting data collection T in 4)sIn respectively send out
It is output end that light sample, which corresponds to spectral power distribution ρ (λ) data, builds BP neural network；
Embodiment is with 4) the middle 1566 groups of sample of signal (Φ chosenS) it is input, with its corresponding 1566 spectrum work(
Rate is distributed (TsIn each sample spectral power distribution ρ (λ) data) be output end, build BP neural network.When it is implemented, it can join
See that BP neural network prior art realizes structure.
6) in 5) based on BP neural network, pass through sequential quadratic programming algorithm and build the reverse model of LED mixed light colour generations；
Embodiment, that is, by the mapping model of signal value to spectral power distribution, passes through sequence using BP neural network in 5) as forward model
Row Novel Algorithm builds the corresponding reverse model of LED mixed lights colour generation, there is provided the mapping from spectral power distribution to signal value
Model.Wherein, sequential quadratic programming algorithm is existing optimization technology, and it will not go into details by the present invention.
7) for arbitrary target spectral power distribution T (λ) data, its corresponding light of constructed reversely model solution in 6) is utilized
Source input control signal Tθ, and using same LED light emitting control modes in 2), with TθLED light source hair is driven for control signal value
Light, measurement obtain real spectrum power distribution data F (λ)；
In embodiment, the spectral power distribution corresponding to following 10 groups of signal datas is chosen respectively as target optical spectrum work(
Rate distribution T (λ), utilize constructed reversely its corresponding light source of model solution input control signal T in 6)θ。
Wherein, 10 groups of signal datas are：
S1：Colour temperature=500, brightness=51；
S2：Colour temperature=500, brightness=53；
S3：Colour temperature=500, brightness=55；
S4：Colour temperature=500, brightness=57；
S5：Colour temperature=500, brightness=59；
S6：Colour temperature=500, brightness=61；
S7：Colour temperature=500, brightness=63；
S8：Colour temperature=500, brightness=65；
S9：Colour temperature=500, brightness=67；
S10：Colour temperature=500, brightness=69；
Spectral power distribution corresponding to these signal datas LED light emitting control modes same in can using 2), example
Lighted as Hue Light mixed lights drive software drives, then measurement obtains.
It is using constructed reversely its corresponding light source of model solution input control signal data in 6)：
Tθ1：Colour temperature=500, brightness=53；
Tθ2：Colour temperature=495, brightness=54；
Tθ3：Colour temperature=495, brightness=56；
Tθ4：Colour temperature=500, brightness=58；
Tθ5：Colour temperature=500, brightness=59；
Tθ6：Colour temperature=500, brightness=62；
Tθ7：Colour temperature=500, brightness=64；
Tθ8：Colour temperature=495, brightness=65；
Tθ9：Colour temperature=495, brightness=67；
Tθ10：Colour temperature=475, brightness=67；
It can be seen that by data above, the spectral power distribution extraction side proposed by the present invention based on LED mixed light Color models
Method has higher modeling accuracy in LED control signal space.
Then, with TθIn 10 groups of control signal values driving LED light sources light, measurement obtains real spectrum power distribution data
F(λ)。
For the sake of proving technical solution of the present invention effect, using spectrum simulation degree coefficient GFC (Goodness-of-Fit
Coefficient) realize that modeling error is estimated, its solution formula is as follows：
Wherein, T (λj) be 7) in target optical spectrum power distribution T (λ) in wavelength XjThe spectroscopic data at place, F (λj) be 7) in it is true
Real spectral power distribution F (λ) is in wavelength XjThe spectroscopic data at place.λ spans are visible light wave range, 400-700nm, subscript j
Represent wherein specific wave band (such as 400nm, 410nm).
7) middle measurement is obtained to real spectrum power distribution F (λ) 10 groups of data and target optical spectrum power point in embodiment
Cloth T (λ) 10 groups of data of correspondence are compared, and calculate its spectrum simulation degree coefficient.It can be calculated, for above-mentioned 10 groups of target lights
Spectral power distributions, the modeling GFC precision of spectral power distribution extracting method proposed by the invention is respectively 0.992,0.991,
0.995,0.993,0.992,0.991,0.994,0.993,0.993,0.992,0.989.It can be seen that spectrum work(proposed by the present invention
Rate distribution extracting method equally has higher modeling accuracy in luminescent spectrum power distribution space.Wherein, spectrum simulation degree system
Number is prior art, and it will not go into details by the present invention.
Those skilled in the art can also use modular mode to provide corresponding system during specific implementation.The embodiment of the present invention carries
For a kind of spectral power distribution extraction system based on LED mixed light Color models, including with lower module：
Control signal global space sampling module, for carrying out the global sampling in LED intelligent light source control signals space, it will believe
Number space θ is divided, and different passages are used with different spacing gathered datas, and the overall situation of final LED light source signal space is adopted
Sample sample set Φθ；
Light source luminescent drive module, for being adopted using default LED light emitting controls mode according to control signal global space
Global sample collection Φ obtained by egf blockθIn each signal value driving LED light source light, form luminous sample set Gθ；
Light-emitting data acquisition module, by be utilized respectively based on spectral radiant emittance and illumination photometer measurement light source luminescent drive module
The luminous sample set G of gainedθIn each luminous sample correspond to spectral power distribution ρ (λ) and illumination E, generation and luminous sample set GθCarried
For light-emitting data collection G corresponding to signals；Wherein, λ is visible wavelength；
Light-emitting data screening module, for light-emitting data collection G obtained by light-emitting data acquisition modulesAccording to default illumination
Threshold value S is screened, and is given up the low-light (level) sample that illumination is less than S, is obtained final light-emitting data collection Ts, and it is global from control signal
The global sample collection Φ of LED light source signal space obtained by spatial sampling moduleθMiddle to choose corresponding sample of signal, composition is final
Signal space sample collection ΦS；
Light source mixed light forward model builds module, for final signal spatial sampling sample obtained by light-emitting data screening module
This collection ΦSFor input, with final light-emitting data collection T obtained by light-emitting data screening modulesIn each luminous sample correspond to spectral power
It is output end to be distributed ρ (λ) data, builds BP neural network；
The reverse model construction module of light source mixed light, for BP neural network obtained by light source mixed light forward model structure module
For forward model, the corresponding reverse model of LED mixed lights colour generation is built；
Mixed light Color model inspection module, it is anti-using light source mixed light for for arbitrary target spectral power distribution T (λ)
To reverse model solution corresponding light source input control signal T constructed by model construction moduleθ, and using the luminous controls of default LED
Mode processed, with TθLED light source is driven to light for control signal value, measurement obtains real spectrum power distribution data F (λ).
Each module specific implementation is corresponding with each step, and it will not go into details by the present invention.
Specific embodiment described herein is only to spirit explanation for example of the invention.Technology belonging to the present invention is led
The technical staff in domain can be made various modifications or supplement to described specific embodiment or be replaced using similar mode
Generation, but without departing from the spiritual of the present invention or surmount scope defined in appended claims.
Claims (8)
1. a kind of spectral power distribution extracting method based on LED mixed light Color models, it is characterised in that comprise the following steps：
Step 1, the global sampling in LED intelligent light source control signals space is carried out, signal space θ is divided, to different passages
Using different spacing gathered datas, the final global sample collection Φ for obtaining LED light source signal spaceθ；
Step 2, using default LED light emitting controls mode according to the global sample collection Φ of step 1 gainedθIn each signal value drive
Dynamic LED light source lights, and forms luminous sample set Gθ；
Step 3, spectral radiant emittance meter and the luminous sample set G of the gained of illumination photometer measuring process 2 are utilized respectivelyθIn each luminous sample pair
Answer spectral power distribution ρ (λ) and illumination E, generation and luminous sample set GθLight-emitting data collection G corresponding to provided signals；Wherein,
λ is visible wavelength；
Step 4, to step 3 gained light-emitting data collection GsScreened according to default illumination threshold S, it is low less than S to give up illumination
Illumination sample, obtain final light-emitting data collection Ts, and from the global sample collection Φ of step 1 gained LED light source signal spaceθ
It is middle to choose corresponding sample of signal, composition final signal spatial sampling sample set ΦS；
Step 5, with step 4 gained final signal spatial sampling sample set ΦSFor input, with final light-emitting data obtained by step 4
Collect TsIn each luminous sample to correspond to spectral power distribution ρ (λ) data be output end, build BP neural network；
Step 6, using step 5 gained BP neural network as forward model, the corresponding reverse model of LED mixed lights colour generation is built；
Step 7, for arbitrary target spectral power distribution T (λ), constructed reversely model solution corresponding light source in step 6 is utilized
Input control signal Tθ, and using default LED light emitting controls mode described in step 2, with TθLED light is driven for control signal value
Source lights, and measurement obtains real spectrum power distribution data F (λ).
2. the spectral power distribution extracting method according to claim 1 based on LED mixed light Color models, it is characterised in that：
Realize that modeling error estimates that solution formula is as follows using spectrum simulation degree coefficient,
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Wherein, T (λj) be in step 7 target optical spectrum power distribution T (λ) in wavelength XjThe spectroscopic data at place, F (λj) it is in step 7
Real spectrum power distribution F (λ) is in wavelength XjThe spectroscopic data at place, subscript j represent specific wave band.
3. the spectral power distribution extracting method according to claim 1 or claim 2 based on LED mixed light Color models, its feature exist
In：The reverse model of LED mixed light colour generations is built by sequential quadratic programming algorithm in step 6.
4. the spectral power distribution extracting method according to claim 1 or claim 2 based on LED mixed light Color models, its feature exist
In：Illumination threshold S value is 80 luxs in step 4.
5. a kind of spectral power distribution extraction system based on LED mixed light Color models, it is characterised in that including with lower module：
Control signal global space sampling module, it is for carrying out the global sampling in LED intelligent light source control signals space, signal is empty
Between θ divided, different passages are used with different spacing gathered datas, the global sampling sample of final LED light source signal space
This collection Φθ；
Light source luminescent drive module, for sampling mould according to control signal global space using default LED light emitting controls mode
Global sample collection Φ obtained by blockθIn each signal value driving LED light source light, form luminous sample set Gθ；
Light-emitting data acquisition module, by be utilized respectively based on spectral radiant emittance and illumination photometer measurement light source luminescent drive module obtained by
Luminous sample set GθIn each luminous sample correspond to spectral power distribution ρ (λ) and illumination E, generation and luminous sample set GθThere is provided letter
Light-emitting data collection G corresponding to numbers；Wherein, λ is visible wavelength；
Light-emitting data screening module, for light-emitting data collection G obtained by light-emitting data acquisition modulesAccording to default illumination threshold S
Screened, give up the low-light (level) sample that illumination is less than S, obtain final light-emitting data collection Ts, and from control signal global space
The global sample collection Φ of LED light source signal space obtained by sampling moduleθIt is middle to choose corresponding sample of signal, form final signal
Spatial sampling sample set ΦS；
Light source mixed light forward model builds module, for final signal spatial sampling sample set obtained by light-emitting data screening module
ΦSFor input, with final light-emitting data collection T obtained by light-emitting data screening modulesIn each luminous sample correspond to spectral power distribution
ρ (λ) data are output end, build BP neural network；
The reverse model construction module of light source mixed light, for building module gained BP neural network as just using light source mixed light forward model
To model, the corresponding reverse model of LED mixed lights colour generation is built；
Mixed light Color model inspection module, for for arbitrary target spectral power distribution T (λ), utilizing the reverse mould of light source mixed light
Reversely model solution corresponding light source inputs control signal T constructed by type structure moduleθ, and use default LED light emitting control sides
Formula, with TθLED light source is driven to light for control signal value, measurement obtains real spectrum power distribution data F (λ).
6. the spectral power distribution extraction system according to claim 5 based on LED mixed light Color models, it is characterised in that：
Mixed light Color model precision characterization module is set, for realizing that modeling error is estimated using spectrum simulation degree coefficient, solution formula
It is as follows,
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<mo>(</mo>
<msub>
<mi>&lambda;</mi>
<mi>j</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</msqrt>
<msqrt>
<mrow>
<munder>
<mo>&Sigma;</mo>
<mi>j</mi>
</munder>
<msup>
<mrow>
<mo>&lsqb;</mo>
<mi>F</mi>
<mrow>
<mo>(</mo>
<msub>
<mi>&lambda;</mi>
<mi>j</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</msqrt>
</mrow>
</mfrac>
</mrow>
Wherein, T (λj) be in step 7 target optical spectrum power distribution T (λ) in wavelength XjThe spectroscopic data at place, F (λj) it is in step 7
Real spectrum power distribution F (λ) is in wavelength XjThe spectroscopic data at place, subscript j represent specific wave band.
7. the spectral power distribution extraction system based on LED mixed light Color models according to claim 5 or 6, its feature exist
In：The reverse model construction module of light source mixed light builds the reverse model of LED mixed light colour generations by sequential quadratic programming algorithm.
8. the spectral power distribution extraction system based on LED mixed light Color models according to claim 5 or 6, its feature exist
In：Illumination threshold S value is 80 luxs in light-emitting data screening module.
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