A method, device and storage medium for obtaining optimal white light spectrum

Abstract

The present invention provides a method, device and storage medium for obtaining an optimal white light spectrum, wherein the method comprises: firstly giving a certain color rendering index; then randomly generating a spectral optical power distribution data matrix; calculating the color rendering index corresponding to each group of spectral optical power distribution data; screening out the spectral optical power distribution data corresponding to the given color rendering index; calculating the luminous flux corresponding to each group of screened spectral optical power distribution data; obtaining the spectral optical power distribution data corresponding to the highest luminous flux, which is the optimal white light spectrum under the given color rendering index; the present invention can obtain a white light spectrum with the maximum luminous flux under the specified color rendering index, so that under the same or similar color rendering index, the lumen efficiency of the obtained white light spectrum with the maximum luminous flux is higher than the lumen efficiency of the white light spectrum of the actually packaged white light LED.

Description

Technical Field

[0001] The present invention relates to the technical field of white light spectrum, and in particular to a method for obtaining an optimal white light spectrum. Background Art

[0002] At present, white light LED lighting is rapidly developing from outdoor lighting to indoor lighting, which also puts forward corresponding requirements for white light LED light sources. The color rendering of white light LED is the technical bottleneck that restricts its entry into indoor lighting, especially home lighting and medical lighting. 12 : Ce 3+ When yellow phosphor is used to prepare cold white light LED (Tc > 5 000K), the color rendering index can only reach about 75 at most. However, when preparing warm white light LED (Tc < 5 000K), it is technically difficult to achieve low color temperature and high color rendering index at the same time due to the imbalance of the white light LED spectrum.

[0003] In order to obtain white light LEDs with low color temperature and high color rendering index, many technicians and researchers have proposed different solutions. One solution is to add other color components to the existing packaging technology, and adjust the shape of the white light spectrum and optimize the luminous flux through the "trial and error method" in the experiment. Another solution is to add spectra of different colors on the basis of the white light spectrum with low color rendering index obtained by the existing packaging technology, and directly use the program to fit it to obtain a large number of different white light spectra, and then compare the color rendering index of these fitted spectra to determine the optimal spectrum; these two methods can improve the color rendering of the existing white light spectrum, but it is difficult to simulate the white light spectrum with the maximum luminous flux under the specified color rendering index.

[0004] Therefore, there is an urgent need for a method to obtain an optimal white light spectrum that can obtain a white light spectrum with the maximum luminous flux under a specified color rendering index. Summary of the invention

[0005] The purpose of the present invention is to provide a method for obtaining an optimal white light spectrum, aiming to solve the technical problem that it is difficult to obtain a white light spectrum with the maximum luminous flux under a specified color rendering index using traditional methods.

[0006] To achieve the above object, in a first aspect, the present invention provides a method for obtaining an optimal white light spectrum, the steps of which include:

[0007] S1: Given a color rendering index;

[0008] S2: Randomly generate spectral optical power distribution data matrix;

[0009] S3: Calculate the color rendering index corresponding to each set of spectral light power distribution data;

[0010] S4: Filtering out spectral light power distribution data corresponding to the given color rendering index;

[0011] S5: Calculate the luminous flux corresponding to each set of spectral optical power distribution data screened out in step S4;

[0012] S6: Obtain the spectral light power distribution data corresponding to the highest luminous flux in step S5, which is the optimal white light spectrum under a given color rendering index.

[0013] As a further improvement of the above scheme, in step S2, the color rendering index is calculated according to the following formula, which is specifically as follows:

[0014] Ra= (1)

[0015] Among them, Ra is the average color rendering index, that is, the general color rendering index; Ri is the special color rendering index, Ri = 100-4.6ΔEi, ΔEi is the color difference of the sample under the reference light source and the light source to be tested.

[0016] As a further improvement of the above solution, in step S5, the luminous flux is calculated according to the following formula, which is specifically shown as follows:

[0017] (2)

[0018] in, is the luminous flux, P λ is the spectral optical power distribution of the light source, V λ is the photopic vision function; λ is the wavelength.

[0019] As a further improvement of the above solution, in step S6, the specific method for obtaining the spectral optical power distribution data corresponding to the highest luminous flux in step S5 is as follows:

[0020] Discretize equation (2), specifically,

[0021] The interval [380,780] is meshed with an equidistant step size of 5 and converted into a solution vector P = [ P 1 , P 2 ,..., P 81 ]' satisfy , so that The largest, among which .

[0022] As a further improvement of the above scheme, in order to facilitate calculation, the maximization problem is first transformed into a minimum problem, as shown in the following formula:

[0023] satisfy (3)

[0024] Then, an optimization method is used to solve the minimum value problem of formula (3), preferably, the fmincon command of the Matlab program is used to solve formula (3) to obtain the spectral optical power distribution data corresponding to the highest luminous flux.

[0025] As a further improvement of the above solution, in step S1, the range of the given color rendering index is 0-100.

[0026] In a second aspect, the present invention further provides a device comprising a memory for storing computer program instructions and a processor for executing the computer program instructions, wherein when the computer program instructions are executed by the processor, the device is triggered to execute a method for obtaining an optimal white light spectrum provided in the first aspect.

[0027] In a third aspect, the present invention further provides a storage medium having a computer program stored thereon, wherein when the program is executed, the device where the storage medium is located is controlled to execute a method for obtaining an optimal white light spectrum provided in the first aspect.

[0028] Since the present invention adopts the above technical solution, the beneficial effects of this application are:

[0029] The present invention provides a method for obtaining an optimal white light spectrum, comprising: firstly giving a certain color rendering index; then randomly generating a spectral optical power distribution data matrix; then calculating the color rendering index corresponding to each group of spectral optical power distribution data; screening out the spectral optical power distribution data corresponding to the given color rendering index; calculating the luminous flux corresponding to each group of screened spectral optical power distribution data; obtaining the spectral optical power distribution data corresponding to the highest luminous flux, which is the optimal white light spectrum under the given color rendering index; through the method provided by the present invention, the optimal white light spectrum under the given color rendering index can be quickly obtained, and the optimal white light spectrum under the given color rendering index obtained by the method provided by the present invention is experimentally verified, so that under the same or similar color rendering index, the lumen efficiency of the calculated spectrum is about 20% higher than the lumen efficiency of the white light spectrum of the actual packaged white light LED. In addition, taking the calculated white light spectrum as the target spectrum, by purposefully adjusting the white light spectrum curve of the white light LED light source device of the given color rendering index, its luminous flux and lumen efficiency can be effectively improved; therefore, the present invention has broad commercial value in the field of high-efficiency solid-state full-spectrum lighting, and is helpful for the design and packaging of high-efficiency white light LED devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0031] Figure 1 This is a white light spectrum diagram with a color rendering index of 70 calculated in Example 1 disclosed in the present invention;

[0032] Figure 2 This is a white light spectrum diagram with a color rendering index of 80 calculated in Example 1 disclosed in the present invention;

[0033] Figure 3 The white light spectrum with a color rendering index of 90 calculated in Example 1 disclosed in the present invention;

[0034] Figure 4 The white light spectrum with a color rendering index of 97.5 calculated and obtained in Example 1 disclosed in the present invention;

[0035] Figure 5 The white light spectrum with a color rendering index of 71.5 calculated and obtained in Example 1 disclosed in the present invention;

[0036] Figure 6 The white light spectrum with a color rendering index of 96.6 calculated and obtained in Example 1 disclosed in the present invention;

[0037] Figure 7 This is the spectrum diagram of the white light LED light source of Comparative Example 1;

[0038] Figure 8 This is the spectrum diagram of the white light LED light source of Comparative Example 2;

[0039] Fig. 9 This is the spectrum diagram of the white light LED light source of Comparative Example 3;

[0040] Fig.10 This is a spectrum diagram of the white light LED light source of Comparative Example 4;

[0041] Fig.11 A comparison chart of the spectrum calculated by the method provided by the present invention and the measured spectrum for a color rendering index of 70;

[0042] Fig.12 A comparison chart of the spectrum calculated by the method provided by the present invention and the measured spectrum for a color rendering index of 80;

[0043] Fig.13 A comparison chart of the spectrum calculated by the method provided by the present invention and the measured spectrum for a color rendering index of 90;

[0044] Fig.14 A comparison chart of the spectrum calculated by the method provided by the present invention and the measured spectrum with a color rendering index of 97.5;

[0045] Fig.15 A comparison chart of the spectrum calculated by the method provided by the present invention and the measured spectrum with a color rendering index of 71.5;

[0046] Fig.16 The figure is a comparison chart of the spectrum calculated by the method provided by the present invention and the measured spectrum with a color rendering index of 96.6.

[0047] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with the implementation methods and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] Furthermore, the technical solutions between the various embodiments of the present invention may be combined with each other, but this must be based on the fact that they can be implemented by ordinary technicians in the field. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0050] Embodiment 1:

[0051] The present invention provides a method for obtaining an optimal white light spectrum, the steps of which include:

[0052] S1: a color rendering index is given. In this embodiment, the range of the given color rendering index is 0-100;

[0053] S2: randomly generate a spectral optical power distribution data matrix, specifically, generate a pseudo-random number with uniform distribution between 0 and 1 to obtain a random spectral power distribution;

[0054] S3: Calculate the color rendering index corresponding to each set of spectral light power distribution data;

[0055] S4: Filtering out spectral light power distribution data corresponding to the given color rendering index;

[0056] S5: Calculate the luminous flux corresponding to each set of spectral optical power distribution data screened out in step S4;

[0057] S6: Obtain the spectral optical power distribution data corresponding to the highest luminous flux in step S5, which is the optimal white light spectrum under a given color rendering index; through the method provided by the present invention, the optimal white light spectrum under a given color rendering index can be quickly obtained. It has been experimentally verified that the optimal white light spectrum under a given color rendering index obtained by the method provided by the present invention makes the lumen efficiency of the calculated spectrum about 20% higher than the lumen efficiency of the white light spectrum of the actual packaged white light LED under the same or similar color rendering index. In addition, taking the calculated white light spectrum as the target spectrum, by purposefully adjusting the white light spectrum curve of the white light LED light source device with a given color rendering index, its luminous flux and lumen efficiency can be effectively improved; therefore, the present invention has broad commercial value in the field of high-efficiency solid-state full-spectrum lighting, and is helpful for the design and packaging of high-efficiency white light LED devices.

[0058] As a preferred embodiment, in step S2, the color rendering index is calculated according to the following formula, which is specifically as follows:

[0059] Ra= (1)

[0060] Among them, Ra is the average color rendering index, that is, the general color rendering index; Ri is the special color rendering index, Ri = 100-4.6ΔEi, ΔEi is the color difference of the sample under the reference light source and the light source to be tested;

[0061] The higher the general color rendering index Ra of a light source, the better the color rendering ability of the light source.

[0062] As a preferred embodiment, in step S5, the luminous flux is calculated according to the following formula, which is specifically shown as follows:

[0063] (2)

[0064] in, is the luminous flux, P λ is the spectral optical power distribution of the light source, V λ is the photopic vision function; λ is the wavelength, and the calculated wavelength λ ranges from 380 nm to 780 nm.

[0065] It should be noted that the luminous efficacy K LER The color rendering index Ra and the color rendering index Ra are two important parameters for measuring the performance of white light LED light sources. However, they are contradictory. Usually, a high color rendering index is obtained at the expense of reduced luminous efficacy. Therefore, when designing a high color rendering index white light LED lighting source, the luminous efficacy issue also needs to be considered. LER It is defined as the ratio of luminous flux to radiant flux, expressed as: , based on this light performance K LERWith respect to this contradictory relationship with the color rendering index Ra, obtaining the spectral light power distribution data corresponding to the highest luminous flux under a given color rendering index can well balance the contradiction between the two.

[0066] As a preferred embodiment, in step S6, the specific method for obtaining the spectral optical power distribution data corresponding to the highest luminous flux in step S5 is as follows:

[0067] S61: Discretize equation (2). Specifically,

[0068] The interval [380,780] is meshed with an equidistant step size of 5 and converted into a solution vector P = [ P 1 , P 2 ,..., P 81 ]' satisfy , so that The largest, among which ;

[0069] S62: Convert the maximization problem into the minimum problem, as shown in the following formula:

[0070] satisfy (3)

[0071] S63: using an optimization method to solve the minimum value problem of step S62, and obtaining the spectral optical power distribution data corresponding to the highest luminous flux; preferably using the fmincon command of the matlab program to solve equation (3),

[0072] Specifically, the steps for solving the problem using the fmincon command provided by Matlab are as follows:

[0073] (1) Create the calculation file Racomput.m and define the nonlinear constraint function:

[0074] function Ra=Racomput(x), x represents the spectral power distribution of the light source to be measured;

[0075] In this calculation file, according to national standard documents (such as GB-T 20146-2006-Colorimetry, GB-T 23595.3-2009-Chromaticity Coordinates, GB-T 26180-2010-Light Source Color Rendering Evaluation Method and Measurement Method, GB-T 7922-2008 Light Source Color Measurement Method), the calculation from spectral light power distribution data to color rendering index is realized;

[0076] (2) Create the file objfun1.m and define the objective function f(x):

[0077] function f = objfun1(x)

[0078]

[0079] Used to realize the calculation from spectral optical power distribution data to luminous flux.

[0080] (3) Create a nonlinear constraint file confund1.m and define the nonlinear constraint function;

[0081] function [c, ceq]=confun1(x)

[0082] ceq=Ra1-Ra

[0083] Ra1=Racomput(P)

[0084] Calculate Ra1 corresponding to each set of spectral power distribution data, and screen out the spectral light power distribution that meets the given color rendering index Ra.

[0085] (4) Establish the main program optimal.M and the nonlinear programming minimum solver fmincon.

[0086] During the calculation process, a uniformly distributed pseudo-random number is generated between 0 and 1 to obtain a random spectral power distribution; through multiple iterative calculations, the spectral power distribution with the same Ra is selected; the spectrum with the largest luminous flux is calculated and selected and stored in the data_final file.

[0087] The Ra_final-Ra, luminous_flux-lumen efficiency, and data_final are calculated, and the spectrum diagram when the luminous flux is maximum can be drawn from data_final.

[0088] Specifically, in this embodiment, different given color rendering indexes (Ra=70, Ra=80, Ra=90, Ra=100, Ra=71.5, Ra=96.6) are input respectively, and the program outputs the corresponding optimal white light spectrum curve under each given color rendering index, see Figure 1-Figure 6 , and calculate the spectral lumen efficiency corresponding to each given color rendering index.

[0089] The lumen efficiency of LED devices (η L ), or luminous efficiency, electro-optical conversion efficiency, can be calculated by the ratio of its output luminous flux to input electrical power. The higher the ratio, the greater the energy of visible light radiated under the same external current, that is, the higher the external efficiency. Several efficiencies related to device energy loss can be collectively referred to as energy utilization efficiency, such as external quantum efficiency (EQE), electrical work efficiency (η WP ), scattering efficiency (η P ), the photoluminescence efficiency of the phosphor (η C). Therefore, the lumen efficiency of the LED device can be expressed as:

[0090] η L =Km×P(λ)×V(λ)×EQE×η WP ×η P ×η C (4)

[0091] Or it can be expressed as:

[0092] η L = Spectral lumen efficiency η LM ×Energy efficiency (5)

[0093] The present invention only considers the influence of white light spectrum shape (P(λ)) on lumen efficiency, assuming that the EQE and η of LED devices are WP , η P , η C If these energy utilization efficiencies all reach 100%, the lumen efficiency of the device is determined only by its spectral lumen efficiency. The spectral lumen efficiency is the theoretical limit of the LED lumen efficiency η, denoted by η LM , expressed as:

[0094] (6)

[0095] In order to further illustrate the advantages of using the method of the present invention to obtain the optimal white light spectrum, a white light LED device with a given color rendering index is manufactured by conventional packaging technology, and its electroluminescence (EL) spectrum is obtained, and the spectrum shape and spectrum lumen efficiency are compared with the white light spectrum with the maximum luminous flux of the same given color rendering index optimized simulation;

[0096] Comparative Example 1:

[0097] The yellow phosphor Y3Al5O 12 : Ce 3+ (YAG:Ce 3+ ) and AB glue, and evenly coated on the blue chip to package into the light-emitting device LED1. After the light-emitting device LED1 is placed in an oven and dried at 100°C for 12 hours, it is lit using an LED spectrum tester to obtain its electroluminescence (EL) spectrum as shown below: Figure 7 As shown, the color rendering index of the measured spectrum is 71.5, and the corresponding spectral lumen efficiency is 326.6lm / W. The white light spectrum curves obtained under the color rendering index Ra=70 in Comparative Example 1 and Example 1 are normalized and compared, and the results are as follows Fig.11 As shown;

[0098] Comparative Example 2:

[0099] The yellow phosphor YAG:Ce 3+, red nitride phosphor is mixed with AB glue, and evenly coated on the blue chip to encapsulate into light-emitting device LED2 for display. After the light-emitting device LED2 is placed in an oven and dried at 100°C for 12 hours, it is lit using an LED spectrum tester to obtain its EL spectrum as shown below: Figure 8 As shown; and the color rendering index of the measured spectrum is 80.9, and its corresponding lumen efficiency is 336.3lm / W. The white light spectrum curves obtained under the color rendering index Ra=80 in Comparative Example 1 and Example 1 are normalized and compared, and the results are as follows Fig.12 shown.

[0100] Comparative Example 3:

[0101] The yellow phosphor YAG:Ce 3+ , red nitride phosphor is mixed with AB glue, and evenly coated on the blue chip to encapsulate into light-emitting device LED3 for display. After the light-emitting device LED3 is placed in an oven and dried at 100°C for 12 hours, it is lit using an LED spectrum tester to obtain its EL spectrum as shown below: Fig. 9 As shown; and the color rendering index of the measured spectrum is 90.2, and the corresponding lumen efficiency is 292.0lm / W. The white light spectrum curves obtained under the color rendering index Ra=90 in Comparative Example 1 and Example 1 are normalized and compared, and the results are as follows Fig.13 shown.

[0102] Comparative Example 4:

[0103] The yellow phosphor YAG:Ce 3+ , red nitride phosphor, green phosphor and AB glue are mixed evenly, and evenly coated on the blue chip to encapsulate into light-emitting device LED4 for display. After the light-emitting device LED4 is placed in an oven and dried at 100℃ for 12 hours, it is lit using an LED spectrum tester to obtain its EL spectrum as shown below: Fig.10 As shown; and the color rendering index of the measured spectrum is 96.6, and its corresponding lumen efficiency is 259.5lm / W. The white light spectrum curves obtained under the color rendering index Ra=97.5 in Comparative Example 1 and Example 1 are normalized and compared, and the results are as follows Fig.14 shown.

[0104] The comparison of the lumen efficiency of the spectra under different Ra obtained by the method provided by the present invention and the measured spectra of various comparative examples is shown in Table 1.

[0105]

[0106] As shown in Table 1, when simulating a spectrum with a given display index Ra=70, the spectral lumen efficiency η=448.9lm / w is calculated by the method provided by the present invention. The measured light source spectrum Ra=71.5, and the calculated spectral lumen efficiency η=326.6lm / w. The color rendering of the two is slightly different, and the lumen efficiency of the spectrum obtained by the method of the present invention is 37.4% higher than the lumen efficiency of the measured spectrum.

[0107] When simulating a spectrum with a given display index of Ra=80, the spectral lumen efficiency η=405.3lm / w is calculated by the method provided by the present invention, and the measured light source spectrum Ra=80.9, and the spectral lumen efficiency η=336.3lm / w is calculated. The color rendering of the two is slightly different, and the lumen efficiency of the spectrum obtained by the method of the present invention is 20.5% higher than the lumen efficiency of the measured spectrum.

[0108] When simulating a spectrum with a given display index Ra=90, the spectral lumen efficiency η=357.4lm / w is calculated by the method provided by the present invention. The measured light source spectrum Ra=90.2, the spectral lumen efficiency η=292.0lm / w is calculated. The color rendering of the two is slightly different, and the lumen efficiency of the spectrum obtained by the method of the present invention is 22.4% higher than the lumen efficiency of the measured spectrum.

[0109] When simulating a spectrum with a given display index Ra=97.5, the spectral lumen efficiency η=304.5lm / w is calculated by the method provided by the present invention. The measured light source spectrum Ra=96.6, and the calculated spectral lumen efficiency η=259.5lm / w. The color rendering of the two is slightly different, and the lumen efficiency of the spectrum obtained by the method of the present invention is 17.3% higher than the lumen efficiency of the measured spectrum.

[0110] In order to further verify the advantage of calculating the spectrum by the method provided by the present invention, the spectrum with a given display index Ra=71.5 was calculated to obtain the lumen efficiency η=437.1 lm / w of the corresponding spectrum. The white light spectrum curves obtained under the color rendering index Ra=71.5 in Comparative Example 1 and Example 1 were normalized and compared. The results are as follows: Fig.15 As shown in Table 1, it can be seen that the spectrum of the light source measured in Comparative Example 1 has a color rendering index Ra=71.5, and the corresponding spectrum lumen efficiency η=326.6lm / w, while the lumen efficiency of the spectrum obtained by the method of the present invention is 33.8% higher than the lumen efficiency of the measured spectrum;

[0111] The spectrum with a given display index Ra=96.6 was calculated to obtain the lumen efficiency η=324 lm / w of the corresponding spectrum. The white light spectrum curves obtained under the color rendering index Ra=96.6 in Comparative Example 1 and Example 1 were normalized and compared. The results are as follows: Fig.16As shown in Table 1, it can be seen that the measured light source spectrum of Comparative Example 4 has a color rendering index Ra=96.6, and the corresponding spectral lumen efficiency η=259.5lm / w, while the lumen efficiency of the spectrum obtained by the method of the present invention is 24.9% higher than the lumen efficiency of the measured spectrum.

[0112] The present invention realizes that under the same or similar color rendering index, the lumen efficiency of the spectrum calculated by the method provided by the present invention is significantly higher than the lumen efficiency of the measured spectrum, which has guiding significance for adjusting the measured light source spectrum curve to improve the luminous flux and lumen efficiency.

[0113] Embodiment 2:

[0114] The present invention also provides a device, comprising a memory for storing computer program instructions and a processor for executing the computer program instructions, wherein when the computer program instructions are executed by the processor, the device is triggered to execute some or all of the steps in Embodiment 1;

[0115] The processor may include one or more processing units, for example, the processor may include an application processor (AP), a modem processor, a graphics processor (GPU), an image signal processor (ISP), a controller, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural-network processing unit (NPU), etc. Different processing units may be independent devices or integrated into one or more processors.

[0116] The controller can be the nerve center and command center of the electronic device. The controller can generate operation control signals according to the instruction operation code and timing signal to complete the control of fetching and executing instructions.

[0117] A memory may also be provided in the processor for storing instructions and data. In some embodiments, the memory in the processor is a cache memory. The memory may store instructions or data that the processor has just used or is cyclically used. If the processor needs to use the instruction or data again, it may be directly called from the memory. This avoids repeated access, reduces the waiting time of the processor, and thus improves the efficiency of the system.

[0118] Embodiment 3:

[0119] The present invention also provides a storage medium having a computer program stored thereon, wherein when the program is executed, the device where the storage medium is located is controlled to execute part or all of the steps in Example 1.

[0120] The storage medium may include a high-speed RAM memory, and may also include a nonvolatile memory (nonvolatile memory), such as at least one disk memory. It is understandable that the storage medium can be a random access memory (Random Access Memory, RAM), a disk, a hard disk, a solid state disk (solid state disk, SSD) or a nonvolatile memory, etc., which can store program codes and other machine-readable media.

[0121] Those skilled in the art will appreciate that the embodiments of the present invention may be provided as methods or storage media. Therefore, the embodiments of the present invention may take the form of complete hardware embodiments, complete software embodiments, or embodiments combining software and hardware. Moreover, the embodiments of the present invention may take the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0122] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. All equivalent structural changes made using the contents of the present invention's specification and drawings, or directly / indirectly applied in other related technical fields, are included in the patent protection scope of the present invention.

Claims

1. A method for obtaining an optimal white light spectrum, characterized in that: The steps include: S1: Given a color rendering index; S2: Randomly generate spectral optical power distribution data matrix; S3: Calculate the color rendering index corresponding to each set of spectral light power distribution data; S4: Filter out the spectral light power distribution data corresponding to the given color rendering index; S5: Calculate the luminous flux corresponding to each set of spectral optical power distribution data screened out in step S4; S6: Obtain the spectral light power distribution data corresponding to the highest luminous flux in step S5, which is the optimal white light spectrum under a given color rendering index.

2. The method for obtaining an optimal white light spectrum according to claim 1, characterized in that: In step S3, the color rendering index is calculated according to the following formula, which is as follows: Day= (1) Among them, Ra is the average color rendering index, also known as the general color rendering index; Ri is the special color rendering index, Ri = 100-4.6ΔEi, ΔEi is the color difference of the sample under the reference light source and the light source to be tested.

3. A method for obtaining an optimal white light spectrum according to claim 1 or 2, characterized in that: In step S5, the luminous flux is calculated according to the following formula, which is specifically shown as follows: (2) in, is the luminous flux, P λ is the spectral optical power distribution of the light source, V λ is the photopic vision function; λ is the wavelength.

4. The method for obtaining an optimal white light spectrum according to claim 3, characterized in that: In step S6, the specific method of obtaining the spectral optical power distribution data corresponding to the highest luminous flux in step S5 is as follows: Discretize equation (2) and mesh the interval [380,780] with an equidistant step size of 5 to convert it into the solution vector satisfy , so that The largest, among which .

5. The method for obtaining an optimal white light spectrum according to claim 4, characterized in that: First, transform the maximization problem into the minimum problem, as shown in the following formula: satisfy (3) Then, the optimization method is used to solve the minimum value problem of formula (3) to obtain the spectral optical power distribution data corresponding to the highest luminous flux.

6. The method for obtaining an optimal white light spectrum according to claim 4, characterized in that: In step S1, the given color rendering index ranges from 0 to 100.

7. A device, characterized in that: It comprises a memory for storing computer program instructions and a processor for executing the computer program instructions, wherein when the computer program instructions are executed by the processor, the device is triggered to execute a method for obtaining an optimal white light spectrum as described in any one of claims 1-6.

8. A storage medium having a computer program stored thereon, wherein: When the program is running, the device where the storage medium is located is controlled to execute a method for obtaining an optimal white light spectrum as described in any one of claims 1 to 6.

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