CN109034581B - Evaluation method and device for synthetic spectrum - Google Patents
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Abstract
The embodiment of the invention discloses a synthetic spectrum evaluation method and device, relates to the technical field of photoelectricity, and provides a novel synthetic spectrum evaluation method which can realize evaluation of synthetic spectra. The method comprises the following steps: acquiring a synthetic spectrum; evaluating one or more of at least four lighting parameters of the synthesized spectrum to generate a score corresponding to the lighting parameters, wherein the lighting parameters at least include color temperature accuracy, color rendering, color tolerance and spectral similarity; configuring comprehensive weight for the scores corresponding to the lighting parameters according to the importance of the lighting parameters of the synthesized spectrum; calculating a comprehensive score of the synthesized spectrum according to each lighting parameter of the synthesized spectrum and a comprehensive weight of a grading configuration corresponding to each lighting parameter; determining that the synthesized spectrum meets natural spectrum requirements when it is determined that the composite score is greater than or equal to a first threshold value.
Description
Technical Field
The embodiment of the invention relates to the technical field of photoelectricity, in particular to a method and a device for evaluating a synthesized spectrum.
Background
The use of light is an important application of the human civilization society, and as technology advances, different kinds of light sources are gradually developed, such as conventional incandescent (incandescent) lamps, fluorescent (fluorescent) lamps, and inert gas (inert gas) lamps. Currently, the latest lighting technology is solid-state lighting (SSL) technology, and light-emitting diodes (LEDs), organic light-Emitting Semiconductors (OLEDs) and polymer light-emitting diodes (PLEDs) are all products of the SSL technology. How to evaluate the spectrum generated by the light source adopting the above-mentioned illumination technology and further develop a high-quality light source is an important subject of research and development personnel.
Disclosure of Invention
Embodiments of the present invention provide a method and an apparatus for evaluating a synthesized spectrum, and provide a novel method for evaluating a synthesized spectrum, which can evaluate a synthesized spectrum.
In a first aspect, a method for evaluating a synthesized spectrum is provided, including:
acquiring a synthetic spectrum;
evaluating one or more of at least four lighting parameters of the synthesized spectrum to generate a score corresponding to the lighting parameters, wherein the lighting parameters at least include color temperature accuracy, color rendering, color tolerance, and spectral similarity;
configuring comprehensive weight for the scores corresponding to the lighting parameters according to the importance of the lighting parameters of the synthesized spectrum;
calculating a comprehensive score of the synthesized spectrum according to each lighting parameter of the synthesized spectrum and a comprehensive weight of a grading configuration corresponding to each lighting parameter;
determining that the synthesized spectrum meets natural spectrum requirements when it is determined that the composite score is greater than or equal to a first threshold value.
Optionally, before evaluating whether the synthesized spectrum meets the requirement of the natural spectrum according to the scores corresponding to the lighting parameters of the synthesized spectrum, the method further includes:
and determining that the scores corresponding to the lighting parameters of the composite spectrum are all greater than a second threshold score.
Optionally, evaluating the color temperature accuracy of the synthesized spectrum, and generating a score of the color temperature accuracy of the synthesized spectrum; the method comprises the following steps:
and substituting the color temperature of the synthesized spectrum and the color temperature of the standard spectrum into a synthesized spectrum color temperature accuracy scoring curve to calculate the score of the color temperature accuracy of the synthesized spectrum, wherein the synthesized spectrum color temperature accuracy scoring curve is used for expressing the corresponding relation between the difference value of the color temperature of the synthesized spectrum and the color temperature of the standard spectrum and the score of the color temperature accuracy of the synthesized spectrum.
Optionally, the synthesized spectrum color temperature accuracy score curve is:
PCCT＝(-a×10-10×TF 3+b×10-6×TF 2-c×10-2×TF-d)×|T-TF|+100；
wherein, PCCTScoring the accuracy of the color temperature of the composite spectrum, T being the color temperature of the composite spectrum, TFThe color temperature of the standard spectrum is a, b, c and d are constants.
Optionally, evaluating a color tolerance of the synthesized spectrum to generate a score of the color tolerance of the synthesized spectrum; the method comprises the following steps:
substituting the color tolerance of the synthesized spectrum into a synthesized spectrum color tolerance score curve to calculate the score of the color tolerance of the synthesized spectrum;
the color tolerance scoring curve of the synthesized spectrum is as follows: pSDCM- α × SDCM +100, said, PSDCMIs the score of the color tolerance of the synthesized spectrum, SDCM is the color tolerance of the synthesized spectrum, and α is a constant.
Optionally, evaluating the color rendering of the synthesized spectrum, and generating a score of the color rendering of the synthesized spectrum; the method comprises the following steps:
and calculating the color rendering index of the synthesized spectrum, and taking the color rendering index as the score of the color rendering of the synthesized spectrum.
Optionally, evaluating the spectral similarity of the synthesized spectrum to generate a score of the spectral similarity of the synthesized spectrum; the method comprises the following steps:
using a formula
Calculating the spectral similarity of the synthesized spectrum and a standard spectrum, wherein: x is the spectral value of the synthesized spectrum, y is the spectral value of the standard spectrum, xiSpectral value of the synthesized spectrum for the i band, yiIs the spectrum value of the standard spectrum of the i wave band, x is the average spectrum value of the synthesized spectrum,
is the average spectral value of the standard spectrum,xyto be the covariance of the spectral values of the synthesized spectrum and the spectral values of the standard spectrum,xxas a standard deviation of the spectral values of the synthesized spectrum,yythe spectrum being a standard spectrumStandard deviation of the values;
and calculating the score of the spectral similarity of the synthesized spectrum according to the spectral similarity.
In a second aspect, there is provided an apparatus for evaluating a synthesized spectrum, comprising:
an acquisition unit configured to acquire a synthesized spectrum;
the processing unit is used for evaluating one or more of at least four lighting parameters of the synthesized spectrum acquired by the acquisition unit and generating a score corresponding to the lighting parameters, wherein the lighting parameters at least comprise color temperature accuracy, color rendering, color tolerance and spectrum similarity;
the processing unit is used for configuring comprehensive weights for scores corresponding to all the lighting parameters according to the importance of all the lighting parameters of the synthesized spectrum;
the processing unit is used for calculating the comprehensive score of the synthesized spectrum according to each lighting parameter of the synthesized spectrum and the comprehensive weight of the grading configuration corresponding to each lighting parameter;
the processing unit is used for determining that the synthesized spectrum meets the requirements of the natural spectrum when the comprehensive score is determined to be greater than or equal to a first threshold value.
Optionally, the processing unit is further configured to determine that the scores corresponding to the lighting parameters of the synthesized spectrum are all greater than a second threshold score before evaluating whether the synthesized spectrum meets the requirement of the natural spectrum according to the scores corresponding to the lighting parameters of the synthesized spectrum.
Optionally, the processing unit is specifically configured to substitute the color temperature of the synthesized spectrum and the color temperature of the standard spectrum into a synthesized spectrum color temperature accuracy score curve to calculate a score of the color temperature accuracy of the synthesized spectrum, where the synthesized spectrum color temperature accuracy score curve is used to represent a corresponding relationship between a difference value between the color temperature of the synthesized spectrum and the color temperature of the standard spectrum and the score of the color temperature accuracy of the synthesized spectrum.
Optionally, the synthesized spectrum color temperature accuracy score curve is:
PCCT＝(-a×10-10×TF 3+b×10-6×TF 2-c×10-2×TF-d)×|T-TF|+100；
wherein, PCCTScoring the accuracy of the color temperature of the composite spectrum, T being the color temperature of the composite spectrum, TFThe color temperature of the standard spectrum is a, b, c and d are constants.
Optionally, the processing unit is specifically configured to bring the color tolerance of the synthesized spectrum into a synthesized spectrum color tolerance score curve to calculate a score of the color tolerance of the synthesized spectrum;
the color tolerance scoring curve of the synthesized spectrum is as follows: pSDCM- α × SDCM +100, said, PSDCMIs the score of the color tolerance of the synthesized spectrum, SDCM is the color tolerance of the synthesized spectrum, and α is a constant.
Optionally, the processing unit is specifically configured to calculate a color rendering index of the synthesized spectrum, and use the color rendering index as a score of color rendering of the synthesized spectrum.
Optionally, the processing unit adopts a formula
Calculating the spectral similarity of the synthesized spectrum and a standard spectrum, wherein: x is the spectral value of the synthesized spectrum, y is the spectral value of the standard spectrum, xiSpectral value of the synthesized spectrum for the i band, yiIs the spectral value of the standard spectrum of the i-band,
is the average spectral value of the synthesized spectrum,
is the average spectral value of the standard spectrum,xyto be the covariance of the spectral values of the synthesized spectrum and the spectral values of the standard spectrum,xxas a standard deviation of the spectral values of the synthesized spectrum,yyis the standard deviation of the spectral values of the standard spectrum; calculating the spectral phase of the synthesized spectrum according to the spectral similarityAnd (4) scoring the similarity.
In the above aspect, the evaluation device of the synthesized spectrum may be capable of acquiring the synthesized spectrum; evaluating one or more of at least four lighting parameters of the synthesized spectrum to generate scores corresponding to the lighting parameters, and configuring comprehensive weights for the scores corresponding to the lighting parameters according to the importance of the lighting parameters of the synthesized spectrum; calculating the comprehensive score of the synthesized spectrum according to each lighting parameter of the synthesized spectrum and the comprehensive weight of the grading configuration corresponding to each lighting parameter; when the composite score is determined to be greater than or equal to the first threshold value, the synthesized spectrum is determined to meet the natural spectrum requirement. The scheme provides a novel evaluation method of the synthetic spectrum, and the evaluation of the synthetic spectrum can be realized. The synthetic spectrum can be evaluated through the scores of at least four lighting parameters, comprehensive weight is distributed to the synthetic spectrum according to the importance of each lighting parameter, the comprehensive score is finally calculated according to the comprehensive weight, the synthetic spectrum is determined to meet the requirements of the natural spectrum according to the comprehensive score, and the accuracy of evaluation on whether the synthetic spectrum meets the requirements of the natural spectrum is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a method for evaluating a synthesized spectrum according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a hierarchical division of a deviation evaluation model of a synthesized spectrum and a standard spectrum according to an embodiment of the present invention;
FIG. 3 is an error bar graph provided by an embodiment of the present invention;
FIG. 4 shows a schematic power distribution of a measured office illumination spectrum for the 6500K color temperature category;
fig. 5 is a block diagram of an evaluation apparatus for a synthesized spectrum according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An embodiment of the present invention provides a method for evaluating a synthesized spectrum, which is shown in fig. 1 and includes:
101. and acquiring a synthesized spectrum.
In step 101, the composite spectrum emitted from the light source may be detected at a specific position by an optical sensor to obtain the composite spectrum.
102. And evaluating one or more of at least four lighting parameters of the synthesized spectrum, and generating a score corresponding to the lighting parameters, wherein the lighting parameters at least comprise color temperature accuracy, color rendering, color tolerance and spectrum similarity.
The specific step 102 includes the following steps S1-S4:
and S1, evaluating the color temperature accuracy of the synthesized spectrum, and generating a score of the color temperature accuracy of the synthesized spectrum.
The specific step S1 includes: and substituting the color temperature of the synthesized spectrum and the color temperature of the standard spectrum into a synthesized spectrum color temperature accuracy scoring curve to calculate the score of the color temperature accuracy of the synthesized spectrum, wherein the synthesized spectrum color temperature accuracy scoring curve is used for expressing the corresponding relation between the difference value of the color temperature of the synthesized spectrum and the color temperature of the standard spectrum and the score of the color temperature accuracy of the synthesized spectrum. Wherein the standard spectrum adopts a natural spectrum.
Illustratively, the composite spectral color temperature accuracy score curve is:
PCCT＝(-a×10-10×TF 3+b×10-6×TF 2-c×10-2×TF-d)×|T-TF+ 100; wherein, PCCTFor scoring the accuracy of the color temperature of the synthesized spectrum, T is the color temperature of the synthesized spectrum, TFThe color temperature of the standard spectrum is a, b, c and d are constants.
Specifically, the synthesized spectrum color temperature accuracy scoring curve is used for representing the corresponding relation between the difference value of the color temperature of the synthesized spectrum and the color temperature of the standard spectrum and the scoring of the color temperature accuracy of the synthesized spectrum. The synthetic spectrum color temperature accuracy scoring curve is obtained in the following manner:
calculating the color temperature T of the synthesized spectrum and the color temperature T of the standard spectrumFA difference of (d); ideally, the color temperature T of the synthesized spectrum and the color temperature T of the standard spectrumFEqual, namely taking 100 points as the corresponding first score when the difference value is zero, and combining the color temperature T of the spectrum and the color temperature T of the standard spectrumFAnd when the difference value is the color temperature tolerance delta T, corresponding second scores are taken as 60 to perform curve fitting, and a synthesized spectrum color temperature accuracy score curve is generated. Wherein, the color temperature range of the standard spectrum in the American standard specification is TF±ΔT。
ΔT＝1.1900×10-8×TF 3-1.5434×10-4×TF 2+0.7168×TF-902.55。
Wherein, the constant value in the synthesized spectrum color temperature accuracy scoring curve obtained by curve fitting according to the mode is as follows: a is-2.975, b is 3.858, c is 1.792, and d is 22.56375.
Of course, for different international standards, the color temperature T of the standard spectrumFThe values are also usually different, as shown in table 1, which provides a correspondence between color temperature and color temperature category of standard spectra of european and american standards.
TABLE 1
S2, the color rendering property of the synthesized spectrum is evaluated, and a score of the color rendering property of the synthesized spectrum is generated.
Specifically, the color rendering of the synthesized spectrum generated by the light source is quantitatively evaluated by the color rendering index cri (color rendering index) using the test color method recommended by CIE (commission internationale de L' Eclairage). The CRI is adopted to evaluate the color reducibility, and the higher the color rendering index of a light source is, the better the color rendering property is. See formula PCRI＝Ra，RaIs the color rendering index, PCRIThe color rendering of the synthesized spectrum is scored.
S3, the color tolerance of the synthesized spectrum is evaluated to generate a score of the color tolerance of the synthesized spectrum.
Step S3 specifically includes: substituting the color tolerance of the synthesized spectrum into a color tolerance scoring curve of the synthesized spectrum to calculate the score of the color tolerance of the synthesized spectrum; the synthesized spectral color tolerance score curve is: pSDCM＝-α×SDCM+100，PSDCMFor the color tolerance of the synthesized spectrum, SDCM (standard definition of color matching) is the color tolerance of the synthesized spectrum, and α is a constant.
Wherein the color tolerance is used to evaluate the chromaticity difference between the color point of the synthesized spectrum and the color point of the standard spectrum, the specific formula is given by IEC 60081:
g11Δx2+2g12ΔxΔy+g22Δy2＝K2where Δ x and Δ y represent errors between the center color coordinates of the synthesized spectrum and the center color coordinates of the standard spectrum, g11, g12, and g22 represent coefficients determined by the target coordinate values, and K represents a color tolerance.
The central color coordinates of the color temperatures of the european standard and the american standard are shown in tables 2 and 3, where table 2 is the central color coordinates of the color temperatures conforming to the Solid State Lighting (SSL) product specification and the vertex color coordinates of the tolerance quadrangle of the central color coordinates. Table 3 shows the correspondence between the color temperature category and the color temperature and the center color coordinate, where F denotes the value and the annex D of IEC60081, and P denotes the value close to the planckian locus (planckian curve). Wherein Center point refers to the Center color coordinate, and Tolerance quadrirange refers to the vertex of the Tolerance Quadrangle of the Center color coordinate. Color marking refers to the color class, cct (tc) refers to the color temperature, and Chromaticity coordinates refers to the color coordinates (Chromaticity coordinates).
TABLE 2
TABLE 3
Wherein the color specification in the U.S. standard is compiled by ANSI, and the defined tolerance quadrilateral overlaps with a 7-step MacAdam ellipse (conforming to the current energy star lighting standard) and thus has the same nominal CCT as the energy star fluorescent lamp. The euro standard uses a 5SDCM macadam ellipse to evaluate color accuracy. The national standard GB/T24823 uses the judgment standard of 7SDCM macadam ellipse for the regulation of chromaticity tolerance. Therefore, when the color tolerance of the ideal synthesized spectrum is 0, the score is 100, and when the color tolerance is 7SDCM, the score is 60, and linear fitting is performed, the evaluation of the color tolerance of the synthesized spectrum can be divided into: pSDCM-5.714 × SDCM + 100. When calculating the SDCM, the European standard and the American standard need to be distinguished.
S4, the spectral similarity of the synthesized spectrum is evaluated to generate a score of the spectral similarity of the synthesized spectrum.
Spectral similarity, which measures the similarity of the spectra over the entire measured wavelength range, can be measured by correlation coefficients (spectral similarity). Therefore, step 105 specifically includes:
using a formula
Calculating the spectral similarity of the synthesized spectrum and the standard spectrum, wherein: x is the spectral value of the synthesized spectrum, y is the spectral value of the standard spectrum, xiSpectral value of the synthesized spectrum for the i band, yiIs the spectral value of the standard spectrum of the i-band,
for synthesizing spectraThe average of the values of the spectrum is,
is the average spectral value of the standard spectrum,xyto be the covariance of the spectral values of the synthesized spectrum and the spectral values of the standard spectrum,xxas a standard deviation of the spectral values of the synthesized spectrum,yyis the standard deviation of the spectral values of the standard spectrum;
and calculating the score of the spectral similarity of the synthesized spectrum according to the spectral similarity. In particular Ps＝γxy X 100, wherein PSScoring of spectral similarity for the synthesized spectra, gammaxyIs the spectral similarity.
Of course, the embodiment of the present application does not limit the execution sequence of steps S1-S4, i.e., steps S1-S4 may be executed in any sequence in the present invention, and the present invention is not limited to the accuracy of color temperature, color rendering, color tolerance, and spectral similarity for the illumination parameters of the synthesized spectrum, i.e., it may be implemented when expanding to five or more other illumination parameters.
103. And configuring comprehensive weights for the scores corresponding to the lighting parameters according to the importance of the lighting parameters of the synthesized spectrum.
In the following specific examples, the configuration of the integrated weight is described by taking the color temperature accuracy, color rendering, color tolerance, and spectral similarity of four lighting parameters as examples as follows:
for example, combining practical experience with the requirements of the product being produced, the weights of the individual lighting parameters can be adjusted by using a hierarchical analysis model method with a certain balance between importance of the individual lighting parameters. Under the principle that subjective randomness is reduced as much as possible, objectivity and accuracy of weight are improved, and flexibility and operability are provided, a deviation evaluation model of a synthetic spectrum and a standard spectrum is hierarchically divided by adopting a hierarchical analysis method, as shown in fig. 2. The target layer is used for evaluating deviation of the synthesized spectrum and the standard spectrum, the standard layer comprises four lighting parameters of color temperature accuracy, color rendering, color tolerance and spectrum similarity, and the measure layer comprises different optical formulas 1-n. The matrix is constructed according to the importance of the lighting parameters as shown in table 4:
| color temperature accuracy | Color rendering property | Color tolerance | Spectral similarity | Wi | |
| |
1 | 1/6 | 1/3 | 1/9 | 0.0466 |
| Color rendering property | 6 | 1 | 3 | 1/3 | 0.2571 |
| |
3 | 1/3 | 1 | 1/6 | 0.1052 |
| Spectral similarity | 9 | 3 | 6 | 1 | 0.5912 |
TABLE 4
Where Wi represents the weight of each index, and the scale meaning corresponding to each index is shown in table 5:
TABLE 5
Specifically, Wi is calculated as follows: summing each column of the matrix and normalizing each column to obtain a new matrix, as shown in table 6:
TABLE 6
The matrix shown in table 6 is summed for each row and normalized to give the matrix shown in table 7:
TABLE 7
104. And calculating the comprehensive score of the synthesized spectrum according to each lighting parameter of the synthesized spectrum and the comprehensive weight of the grading configuration corresponding to each lighting parameter.
The specific implementation of step 104 is that, for a certain synthesized spectrum, after calculating and inputting physical parameters (relative spectral power distribution), a four-dimensional evaluation model can be output to describe the quality of each aspect of the synthesized spectrum. The composite score of the model is a weighted average of the evaluation scores.
POverall＝α1PCCT+α2PCRI+α3PSDCM+a4PS+bK
Wherein, PCCTAn evaluation score for color temperature accuracy; pCRIScoring the developed color quality evaluation score of the synthesized spectrum; pSDCMScoring a color tolerance assessment; pSEvaluating a score for the spectral similarity; a isi(i ═ 1,2,3,4) is a weight; bK is used as an expansion item, K is an evaluation score caused by other unexhausted lighting parameters, b is the weight of K, and the sum of the weights of all the lighting parameters is 1. The weights of all the lighting parameters can be defaulted to be equal, but the weights of all the lighting parameters can be adjusted through the hierarchical analysis model by considering the actual experience of a user and the specific requirements of the user on products, so that a more applicable comprehensive score can be obtained. By default, the overall evaluation score P is obtained from the arithmetic mean of the four lighting parametersOverallThis is referred to as "natural spectrum comprehensive evaluation score".
105. When the composite score is determined to be greater than or equal to some first threshold value, the synthesized spectrum is determined to meet the natural spectrum requirement.
Considering that the efficiency of the algorithm is further improved, before step 103, the method further includes that the scores corresponding to the lighting parameters for determining the synthesized spectrum are all greater than a certain second threshold score (75 scores), then the comprehensive score of the synthesized spectrum is calculated by configuring weights for the lighting parameters, otherwise, the synthesized spectrum is directly considered to be not in accordance with the requirements of the natural spectrum, and thus the calculation amount is reduced.
In the above scheme, the determination criteria of the first threshold and the second threshold are determined as follows: substituting the data of 86 tested natural spectrums of 6500K color temperature categories into the synthesized spectrum and standard spectrum difference evaluation model to respectively calculate the score P of the lighting parametersCCT、PCRI、PSDCM、PSFinally, the comprehensive evaluation score P of each piece of spectral data is obtainedOverall. The results were statistically analyzed and shown in tables 8 and 9 below。
TABLE 8
TABLE 9
As can be seen from the error bar chart shown in FIG. 3, the scores of the illumination parameters for all tested natural spectra are relatively concentrated, with a small 95% confidence interval, except for PCRIAll the above results are higher, and the scores of the lighting parameters are more similar. The scores and the comprehensive scores of the single lighting parameters are comprehensively considered for the synthesized spectrum, and the lower limit of the 95% confidence interval of the scores is suitable as the admission limit of the standard spectrum. I.e., the composite spectrum has a single illumination parameter score of greater than 75 and a composite score of greater than 82, the natural spectrum may be said to be met. For the supplement of subsequent test data, the model can be continuously verified and corrected.
In the above aspect, the evaluation device of the synthesized spectrum may be capable of acquiring the synthesized spectrum; evaluating one or more of at least four lighting parameters of the synthesized spectrum to generate scores corresponding to the lighting parameters, and configuring comprehensive weights for the scores corresponding to the lighting parameters according to the importance of the lighting parameters of the synthesized spectrum; calculating the comprehensive score of the synthesized spectrum according to each lighting parameter of the synthesized spectrum and the comprehensive weight of the grading configuration corresponding to each lighting parameter; when the composite score is determined to be greater than or equal to the first threshold value, the synthesized spectrum is determined to meet the natural spectrum requirement. The scheme provides a novel evaluation method of the synthetic spectrum, and the evaluation of the synthetic spectrum can be realized. The synthetic spectrum can be evaluated through the scores of at least four lighting parameters, comprehensive weight is distributed to the synthetic spectrum according to the importance of each lighting parameter, the comprehensive score is finally calculated according to the comprehensive weight, the synthetic spectrum is determined to meet the requirements of the natural spectrum according to the comprehensive score, and the accuracy of evaluation on whether the synthetic spectrum meets the requirements of the natural spectrum is improved.
Based on the above scheme, taking an office illumination light (synthesized spectrum) as an example, calculating a comprehensive score of the synthesized spectrum under the American standard requirement, and explaining the application process of the evaluation method of the synthesized spectrum as follows:
fig. 4 shows a measured office lighting spectrum (composite spectrum) of the 6500K color temperature class, with wavelength (in nm) on the horizontal axis and power (db) on the vertical axis. The test color temperature 6175K of the synthesized spectrum conforms to the 6500K color temperature tolerance range (6532 +/-510K), and the color temperature accuracy scoring curve of the synthesized spectrum is substituted to obtain:
PCCT＝(-2.975×10-10×TF 3+3.8585×10-6×TF 2-1.792×10-2×TF
+22.56375)×|T-TF|+100
wherein, TF6532K and 6175K, the color temperature accuracy of the synthesized spectrum can be scored
PCCT＝72。
The color rendering index calculated from the synthesized spectrum is shown in table 10 below:
| R1 | R2 | R3 | R4 | R5 |
| 84 | 87 | 87 | 86 | 83 |
| R6 | R7 | R8 | R9 | R10 |
| 81 | 92 | 77 | 29 | 67 |
| R11 | R12 | R13 | R14 | R15 |
| 83 | 57 | 85 | 92 | 81 |
watch 10
Color rendering index
Score P for obtaining color rendering of synthesized spectrumCRI＝78。
The color tolerance of the synthesized spectrum under American standard is 7.0 and the color of the synthesized spectrum is brought intoTolerance score Curve can be given as PSDCM＝-5.714×SDCM+100＝60。
The correlation coefficient of the spectral similarity (spectral similarity) calculated from the data of the synthesized spectrum is 0.83, and the score of the spectral similarity of the synthesized spectrum calculated from the spectral similarity is Ps＝γxy X 100 is 83. Can be obtained from the above items, and has a comprehensive score of POverall＝73.3。
Referring to the first threshold and the second threshold, the office illumination light does not satisfy the single illumination parameter score of more than 75 nor the composite score of 82, and thus does not satisfy the natural spectrum requirement.
Referring to fig. 5, an evaluation apparatus for a synthesized spectrum is provided, which is applied to implement the above method embodiment, and includes:
an acquisition unit 51 for acquiring a synthesized spectrum;
a processing unit 52, configured to evaluate one or more of at least four lighting parameters of the synthesized spectrum acquired by the acquiring unit 51, and generate a score corresponding to the lighting parameters, where the lighting parameters at least include color temperature accuracy, color rendering, color tolerance, and spectrum similarity;
the processing unit 52 is configured to configure a comprehensive weight for the score corresponding to each lighting parameter according to the importance of each lighting parameter of the synthesized spectrum;
the processing unit 52 is configured to calculate a composite score of the composite spectrum according to each lighting parameter of the composite spectrum and a composite weight of a scoring configuration corresponding to each lighting parameter;
the processing unit 52 is configured to determine that the synthesized spectrum meets the natural spectrum requirement when it is determined that the composite score is greater than or equal to a first threshold value.
In an exemplary aspect, the processing unit 52 is further configured to determine that the scores corresponding to the lighting parameters of the synthesized spectrum are greater than a second threshold score before evaluating whether the synthesized spectrum meets the natural spectrum requirement according to the scores corresponding to the lighting parameters of the synthesized spectrum.
In an exemplary embodiment, the processing unit 52 is specifically configured to calculate a score of color temperature accuracy of the synthesized spectrum by substituting the color temperature of the synthesized spectrum and the color temperature of the standard spectrum into a synthesized spectrum color temperature accuracy score curve, where the synthesized spectrum color temperature accuracy score curve is used to represent a corresponding relationship between a difference value between the color temperature of the synthesized spectrum and the color temperature of the standard spectrum and the score of color temperature accuracy of the synthesized spectrum.
In one exemplary approach, the composite spectral color temperature accuracy score curve is:
PCCT＝(-a×10-10×TF 3+b×10-6×TF 2-c×10-2×TF-d)×|T-TF|+100；
wherein, PCCTScoring the accuracy of the color temperature of the composite spectrum, T being the color temperature of the composite spectrum, TFThe color temperature of the standard spectrum is a, b, c and d are constants.
In an exemplary embodiment, the processing unit 52 is specifically configured to calculate a score of the color tolerance of the synthesized spectrum by substituting the color tolerance of the synthesized spectrum into a synthesized spectrum color tolerance score curve; the color tolerance scoring curve of the synthesized spectrum is as follows: pSDCM- α × SDCM +100, said, PSDCMIs the score of the color tolerance of the synthesized spectrum, SDCM is the color tolerance of the synthesized spectrum, and α is a constant.
In an exemplary embodiment, the processing unit 52 is specifically configured to calculate a color rendering index of the synthesized spectrum, and use the color rendering index as a score of color rendering of the synthesized spectrum.
In an exemplary embodiment, the processing unit 52 is specifically configured to employ a formula
Calculating the spectral similarity of the synthesized spectrum and a standard spectrum, wherein: x is the spectral value of the synthesized spectrum, y is the spectral value of the standard spectrum, xiSpectral values of the synthesized spectrum for the i-band，yiIs the spectral value of the standard spectrum of the i-band,
is the average spectral value of the synthesized spectrum,
is the average spectral value of the standard spectrum,xyto be the covariance of the spectral values of the synthesized spectrum and the spectral values of the standard spectrum,xxas a standard deviation of the spectral values of the synthesized spectrum,yyis the standard deviation of the spectral values of the standard spectrum; and calculating the score of the spectral similarity of the synthesized spectrum according to the spectral similarity.
All relevant contents of each step related to the above method embodiment may be referred to the functional description of the corresponding functional module, and the function thereof is not described herein again.
It should be noted that the acquiring unit 51 and the processing unit 52 may be processors separately installed on the controller or physical functional units concentrated on a certain processor, or may be stored in a memory of the controller in the form of program codes, and the functions of the above units may be called and executed by a certain processor of the controller. The processor described herein may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present Application.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Additionally, a computer-readable medium (or media) is also provided, comprising computer-readable instructions that when executed perform the operations of the method in the above-described embodiments.
Additionally, a computer program product is also provided, comprising the above-described computer-readable medium (or media).
It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (4)
1. A method for evaluating a synthesized spectrum, comprising:
acquiring a synthetic spectrum;
evaluating each lighting parameter in the synthesized spectrum to generate a score corresponding to the lighting parameter, wherein the lighting parameter at least comprises color temperature accuracy, color rendering, color tolerance and spectrum similarity;
substituting the color temperature of the synthesized spectrum and the color temperature of the standard spectrum into a synthesized spectrum color temperature accuracy scoring curve to calculate a score of the color temperature accuracy of the synthesized spectrum, wherein the synthesized spectrum color temperature accuracy scoring curve is used for expressing the corresponding relation between the difference value of the color temperature of the synthesized spectrum and the color temperature of the standard spectrum and the score of the color temperature accuracy of the synthesized spectrum; the synthesized spectrum color temperature accuracy scoring curve is as follows: pCCT＝(-a×10-10×TF 3+b×10-6×TF 2-c×10-2×TF-d)×|T-TF+ 100; wherein, PCCTScoring the accuracy of the color temperature of the composite spectrum, T being the color temperature of the composite spectrum, TFThe color temperature of the standard spectrum is shown, and a, b, c and d are constants; configuring comprehensive weight for the scores corresponding to the lighting parameters according to the importance of the lighting parameters of the synthesized spectrum;
calculating a comprehensive score of the synthesized spectrum according to each lighting parameter of the synthesized spectrum and a comprehensive weight of a grading configuration corresponding to each lighting parameter;
determining that the synthesized spectrum meets natural spectrum requirements when it is determined that the composite score is greater than or equal to a first threshold value;
evaluating the color tolerance of the synthesized spectrum to generate a score for the color tolerance of the synthesized spectrum; the method comprises the following steps:
substituting the color tolerance of the synthesized spectrum into a synthesized spectrum color tolerance score curve to calculate the score of the color tolerance of the synthesized spectrum;
the color tolerance scoring curve of the synthesized spectrum is as follows: pSDCM- α × SDCM +100, said, PSDCM(ii) is a score of the color tolerance of the synthesized spectrum, SDCM is the color tolerance of the synthesized spectrum, and α is a constant;
evaluating the color rendering of the synthesized spectrum to generate a score of the color rendering of the synthesized spectrum; the method comprises the following steps:
calculating a color rendering index of the synthesized spectrum, and taking the color rendering index as a score of the color rendering of the synthesized spectrum;
evaluating the spectral similarity of the synthesized spectrum to generate a score of the spectral similarity of the synthesized spectrum; the method comprises the following steps:
using a formula
Calculating the spectral similarity of the synthesized spectrum and a standard spectrum, wherein: x is the number ofiSpectral value of the synthesized spectrum for the i band, yiIs the spectral value of the standard spectrum of the i-band,
is the average spectral value of the synthesized spectrum,
is the average spectral value of the standard spectrum,xyto be the covariance of the spectral values of the synthesized spectrum and the spectral values of the standard spectrum,xxas a standard deviation of the spectral values of the synthesized spectrum,yyis the standard deviation of the spectral values of the standard spectrum;
and calculating the score of the spectral similarity of the synthesized spectrum according to the spectral similarity.
2. The method for evaluating a synthesized spectrum according to claim 1, wherein before evaluating whether the synthesized spectrum meets the requirements of a natural spectrum according to the scores corresponding to the lighting parameters of the synthesized spectrum, the method further comprises:
and determining that the scores corresponding to the lighting parameters of the composite spectrum are all greater than a second threshold score.
3. An apparatus for evaluating a synthesized spectrum, comprising:
an acquisition unit configured to acquire a synthesized spectrum;
the processing unit is used for evaluating each lighting parameter in the synthesized spectrum acquired by the acquisition unit and generating a score corresponding to the lighting parameter, wherein the lighting parameter at least comprises color temperature accuracy, color rendering, color tolerance and spectrum similarity;
the processing unit is used for configuring comprehensive weights for scores corresponding to all the lighting parameters according to the importance of all the lighting parameters of the synthesized spectrum;
the processing unit is used for calculating the comprehensive score of the synthesized spectrum according to each lighting parameter of the synthesized spectrum and the comprehensive weight of the grading configuration corresponding to each lighting parameter;
the processing unit is used for determining that the synthesized spectrum meets the requirements of a natural spectrum when the comprehensive score is determined to be greater than or equal to a first threshold value;
the processing unit is specifically configured to substitute the color temperature of the synthesized spectrum and the color temperature of the standard spectrum into a synthesized spectrum color temperature accuracy score curve to calculate a score of color temperature accuracy of the synthesized spectrum, where the synthesized spectrum color temperature accuracy score curve is used to represent a corresponding relationship between a difference value between the color temperature of the synthesized spectrum and the color temperature of the standard spectrum and the score of color temperature accuracy of the synthesized spectrum; the synthesized spectrum color temperature accuracy scoring curve is as follows:
PCCT＝(-a×10-10×TF 3+b×10-6×TF 2-c×10-2×TF-d)×|T-TF|+100；
wherein, PCCTScoring the accuracy of the color temperature of the composite spectrum, T being the color temperature of the composite spectrum, TFThe color temperature of the standard spectrum is shown, and a, b, c and d are constants;
the processing unit is specifically configured to bring the color tolerance of the synthesized spectrum into a synthesized spectrum color tolerance score curve to calculate a score of the color tolerance of the synthesized spectrum;
the color tolerance scoring curve of the synthesized spectrum is as follows: pSDCM- α × SDCM +100, said, PSDCM(ii) is a score of the color tolerance of the synthesized spectrum, SDCM is the color tolerance of the synthesized spectrum, and α is a constant;
the processing unit is specifically configured to calculate a color rendering index of the synthesized spectrum, and use the color rendering index as a score of color rendering of the synthesized spectrum;
the processing unit adopts a formula
Calculating the spectral similarity of the synthesized spectrum and a standard spectrum, wherein: x is the number ofiSpectral value of the synthesized spectrum for the i band, yiIs the spectral value of the standard spectrum of the i-band,
is the average spectral value of the synthesized spectrum,
is the average spectral value of the standard spectrum,xyto be the covariance of the spectral values of the synthesized spectrum and the spectral values of the standard spectrum,xxas a standard deviation of the spectral values of the synthesized spectrum,yyis the standard deviation of the spectral values of the standard spectrum; and calculating the score of the spectral similarity of the synthesized spectrum according to the spectral similarity.
4. The apparatus according to claim 3, wherein the processing unit is further configured to determine that the scores corresponding to the lighting parameters of the synthesized spectrum are greater than a second threshold score before evaluating whether the synthesized spectrum meets the requirements of the natural spectrum according to the scores corresponding to the lighting parameters of the synthesized spectrum.
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