CN115041089B - LED automatic proportioning method and device based on spectral power - Google Patents
LED automatic proportioning method and device based on spectral power Download PDFInfo
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Abstract
The application provides an LED automatic proportioning method and device based on spectral power, comprising the following steps: step 1: acquiring raw material performance indexes provided by LED manufacturers, wherein the raw material performance indexes comprise material selections of blue chips and red, green and yellow fluorescent powder, and measuring relative spectral power energy values of the raw materials from 360nm to 780nm wavelength by using a spectrometer; step 2: selecting various typical color temperature and color rendering index indexes and corresponding LED proportions, and establishing a standard database; step 3: the method comprises the steps of obtaining client requirements, and respectively carrying out automatic proportioning according to the requirements, wherein the requirements comprise two types: based on the LED sample ratio and based on the color temperature and color rendering index ratio. According to different customer demands, different proportioning methods are adopted, rapid proportioning under common demands is met, the LED proportioning is optimally solved by establishing the objective function based on the least square method, and the calculation model is optimized and simplified, so that the solving speed and difficulty are improved.
Description
Technical Field
The application relates to the technical field of automatic proportioning of LEDs, in particular to an automatic proportioning method and device of LEDs based on spectral power.
Background
In recent years, the LED industry in China has obvious development trend, and especially under the promotion of green and environment-friendly development and consumption requirements, the LED application product field has huge market potential in the fields of display, illumination, optical communication and the like. The white light LED has wide application prospect in the illumination market due to the advantages of green environmental protection, less energy consumption, long service life and the like. Meanwhile, with the rapid development of the white light LED industry, higher requirements are put on the performance of white light LED products. At present, the white light LED for illumination is mainly formed by matching a blue light technology with fluorescent powder, and the specific methods mainly comprise three types: mixing a blue LED chip with red, green and yellow fluorescent powder; mixing the red, green and blue chips; the ultraviolet LED chip is mixed with red, green and yellow fluorescent powder. The blue LED chip is mixed with the red, green and yellow fluorescent powder, namely, after the red, green and yellow fluorescent powder with a certain wave band is mixed with epoxy resin or silica gel, the mixture is encapsulated around the blue LED chip, and the blue LED chip excites the fluorescent powder to form white light.
The current LED manufacturing industry has complex process flow, large fluorescent powder proportioning and optimizing difficulty and low intelligent degree of manufacturing flow. The development and manufacturing process of the LED comprises material selection, packaging, testing and the like. Firstly, a customer provides parameter indexes such as a packaging form, optical parameters, electrical parameters and the like, and then, materials are selected based on the parameter indexes, wherein the core of the material selection is the selection of chips and fluorescent powder. And packaging with packaging adhesive and the like to obtain a finished product, testing a small sample, fine-tuning the proportion of materials after testing, and finally carrying out large-scale production and manufacturing of the LEDs. At present, the formula module in the LED industry mainly adopts methods of experience, software simulation and the like to perform multiple tests so as to achieve the expected effect.
Patent document CN111737915a (application number: 202010558313.4) discloses a method and a device for proportioning LED fluorescent powder, the method calculates an actual mixed color coordinate based on a blue light chip color coordinate, two fluorescent powder color coordinates and a color coordinate of a target center point in historical data, and performs parameter optimization on an established mixed color coordinate calculation model to obtain parameters in the model, wherein the parameters represent the ratio of unit volume conversion rates of the two fluorescent powder passing through a glue layer respectively; the calculated parameters are brought into an established target color coordinate model, and parameter optimization is carried out on the target color coordinate model based on historical data, so that parameters representing conversion rate of unit volume of fluorescent powder in the model are obtained; inputting preset data into a target color coordinate model to calculate the consumption of each fluorescent powder; and calculating the dosage of the glue and the anti-settling starch according to the preset glue powder ratio.
Disclosure of Invention
Aiming at the defects in the prior art, the application aims to provide an LED automatic proportioning method and device based on spectral power.
The application provides an LED automatic proportioning method based on spectral power, which is characterized by comprising the following steps of:
step 1: acquiring raw material performance indexes provided by an LED, wherein the raw material performance indexes comprise material selections of blue chips and red, green and yellow fluorescent powder, and measuring relative spectral power energy values of the raw materials with wavelengths ranging from 360nm to 780nm by using a spectrometer;
step 2: selecting various color temperature and color rendering index indexes and corresponding LED proportions, and establishing a standard database;
step 3: the method comprises the steps of obtaining client requirements, and respectively carrying out automatic proportioning according to the requirements, wherein the requirements comprise two types: based on the LED sample ratio and based on the color temperature and color rendering index ratio.
Preferably, the typical color temperature in the step 2 includes 2700K, 3000K, 3500K, 4000K, 4500K, 5000K and 5700K, the typical color rendering index includes 70, 80 and 90, and the corresponding 21 LED ratios are generated by mutual ratios as a standard database.
Preferably, in the step 3, when the customer requirement is based on the color temperature and color rendering index ratio, the LED ratio corresponding to the color temperature and color rendering index requirement in the standard database is directly queried.
Preferably, in the step 3, when the customer requirement is based on the LED sample proportioning, the LED proportioning is performed by adopting a spectrum frequency method.
Preferably, the method of spectral frequencies comprises the steps of:
s1, measuring the relative spectral power energy value of the LED sample by using a spectrometer;
s2, splitting the spectrum of the LED sample into a blue chip spectrum and a linear superposition of red, green and yellow fluorescent powder spectrum, and constructing an objective function based on a least square method to perform optimization solution;
s3, partially modifying the optimization problem in the step S2, and adjusting the optimization problem to be a mixed integer nonlinear quadratic programming problem;
s4, solving the optimization problem in the step S3, performing simulation test, if the test result meets the requirement, matching successfully, otherwise, entering the step S5;
s5, further adjusting the optimization problem in the S3 by adopting a peak value arrangement and valley value adjustment method;
and S6, solving the optimization problem in the step S5, and performing simulation test.
Preferably, the objective function in S2 is:
s.t.rank(x)＝1
1≤rank(y)≤2
wherein b represents the relative spectral energy value corresponding to the relative target spectral energy map generated by the LED sample provided by the customer from the wavelength of 360nm to 780 nm;
A 421×m ＝[A 1 ,A 2 ,...,A m ]，A i representing the relative spectral energy value corresponding to a relative target spectral energy diagram generated by a blue chip of raw materials from the wavelength of 360nm to 780nm, and m represents the type number of the blue chip;
B 421×n ＝[B 1 ,B 2 ,...,B n ],B i the relative target spectrum energy diagram generated by the raw material red, green and yellow fluorescent powder is represented by the relative spectrum energy value corresponding to the wavelength from 360nm to 780nm, and n represents the type number of the fluorescent powder;
the x vector represents the proportioning coefficient of each blue chip, and as only one blue chip is selected in the actual LED manufacture, the rank of the x vector is 1;
the y vector represents the ratio coefficient of each red, green and yellow fluorescent powder, and the actual LED manufacturing needs to consider the problems of cost, efficiency and the like, so that only one to two red, green and yellow fluorescent powders are usually selected, and the rank of the y vector is 1 or 2.
Preferably, the optimization problem modified in S3 is:
s.t.x,y≥0
g i is binary,1≤i≤m
h j is binary,1≤j≤n
wherein e represents a Hadamard product operator, namely an element-by-element matrix multiplier, and the elements of g and h vectors are integers of 0-1.
Preferably, in the step S4, the spectral energy diagram of the LED sample is compared with the calculated simulated synthesized spectral energy diagram of the LED matching, and whether the LED matching meets the requirement is determined.
Preferably, the optimization problem adjusted in S5 is:
s.t.x,y≥0
g i is binary,1≤i≤m
h j is binary,1≤j≤n
if WDmax＜460,then WDmin＝100,WDmax＝0.88×WDmax
if WDmin＞RaXY(WD),then WDmin＝RaXY(WD)
wherein WDmax represents the wavelength corresponding to the maximum spectral energy, WDmin represents the wavelength corresponding to the minimum spectral energy, raXY (WD) represents the color rendering index at this wavelength.
According to the LED automatic proportioning device with spectral power, the automatic proportioning device comprises a storage chip, wherein proportioning instructions are stored in the storage chip, and the automatic proportioning method for the LED with spectral power is executed when the proportioning instructions are run by a CPU.
Compared with the prior art, the application has the following beneficial effects:
1. according to different customer requirements, different proportioning methods are adopted, so that the quick proportioning under the common requirements is met;
2. according to the application, the standard database is established, so that the stability of the color of the finished product is ensured, and the proportioning speed is improved;
3. according to the application, the objective function is built based on the least square method to optimize and solve the LED proportion, and the calculation model is optimized and simplified, so that the solving speed and difficulty are improved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is a flowchart of a general LED automatic proportioning method based on spectral power;
FIG. 2 is a graph showing the comparison of the proportioning effect before peak arrangement and valley adjustment in the embodiment of the present application;
FIG. 3 is a graph showing the comparison of the ratio effects of the peak arrangement and valley adjustment in the embodiment of the present application
Detailed Description
The present application will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present application, but are not intended to limit the application in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present application.
The application discloses a general LED automatic allocation method based on spectral power, which is shown in figure 1 and comprises the following steps:
step 1: the performance indexes of raw materials provided by LED manufacturers, including material selection of blue chips and red, green and yellow fluorescent powder, are obtained, and a spectrometer is used for measuring the relative spectral power energy value of the raw materials from 360nm to 780 nm.
The LED proportion of the LED manufacturing line is obviously different from the blue chip and the red, green and yellow fluorescent powder of different manufacturers according to the raw material model used by the LED manufacturer. The automatic proportioning of the LED formulation is performed under the condition of defining the performance index of raw materials provided by LED manufacturers. For raw materials provided by different manufacturers, the proportion of the LEDs can be correspondingly changed.
Step 2: selecting various typical color temperature and color rendering index indexes and corresponding LED proportions, and establishing a standard database; typical color temperatures include 2700K, 3000K, 3500K, 4000K, 4500K, 5000K, and 5700K, typical color rendering indices (Ra) include 70, 80, and 90, and the mutual ratios generate corresponding 21 LED ratios as a standard database.
Step 3: the method comprises the steps of obtaining client requirements, and respectively carrying out automatic proportioning according to the requirements, wherein the requirements comprise two types: based on the LED sample ratio and based on the color temperature and color rendering index ratio.
When the customer demand is based on the color temperature and color rendering index ratio, directly inquiring the LED ratio corresponding to the color temperature and color rendering index requirement in the standard database.
When the customer demand is based on the LED sample proportioning, the LED proportioning is carried out by adopting a spectrum frequency method, and the method is as follows:
s1, measuring the relative spectral power energy value of the LED sample by using a spectrometer;
s2, an LED sample is made of a blue chip and one or more red, green and yellow fluorescent powder, the spectrum of the LED sample is split into the linear superposition of the spectrum of the blue chip and the spectrum of the red, green and yellow fluorescent powder, and an objective function is constructed based on a least square method to carry out optimization solution;
s.t.rank(x)＝1
1≤rank(y)≤2
wherein b represents the relative spectral energy value corresponding to the relative target spectral energy map generated by the LED sample provided by the customer from the wavelength of 360nm to 780 nm;
A 421×m ＝[A 1 ,A 2 ,...,A m ]，A i representing the relative spectral energy value corresponding to a relative target spectral energy diagram generated by a blue chip of raw materials from the wavelength of 360nm to 780nm, and m represents the type number of the blue chip;
B 421×n ＝[B 1 ,B 2 ,...,B n ],B i the relative target spectrum energy diagram generated by the raw material red, green and yellow fluorescent powder is represented by the relative spectrum energy value corresponding to the wavelength from 360nm to 780nm, and n represents the type number of the fluorescent powder;
the x vector represents the proportioning coefficient of each blue chip, and as only one blue chip is selected in the actual LED manufacture, the rank of the x vector is 1;
the y vector represents the ratio coefficient of each red, green and yellow fluorescent powder, and the actual LED manufacturing needs to consider the problems of cost, efficiency and the like, so that only one to two red, green and yellow fluorescent powders are usually selected, and the rank of the y vector is 1 or 2.
S3, partially modifying the optimization problem in the step S2, and adjusting the optimization problem to be a mixed integer nonlinear quadratic programming problem; for the above-described optimization problem, it is difficult to solve the optimization problem in practice by using the rank of the vector as a constraint, and thus the optimization problem is partially adjusted. The following is shown:
s.t.x,y≥0
g i is binary,1≤i≤m
h j is binary,1≤j≤n
wherein e represents a Hadamard product operator, namely an element-by-element matrix multiplier, and the elements of g and h vectors are integers of 0-1.
And S4, solving the optimization problem in the step S3, performing simulation test, and if the test result meets the requirement, matching successfully, otherwise, entering the step S5. The results are shown in FIG. 2: the solid line is the spectral power plot of the customer-demanded LED sample, and the dashed line is the simulated synthesized spectral power plot of the blue chip and phosphor. It can be found that the spectrum of the LED sample has a large difference from the spectrum synthesized by simulation, and thus the corresponding index requirements cannot be satisfied. This is because the synthesis is not a simple linear superposition in the spectral overlap region of the blue chip and the phosphor, requiring further adjustment.
S5, further adjusting the optimization problem in the step S3 by adopting a peak value arrangement and valley value adjustment method, wherein the adjustment is as follows:
s.t.x,y≥0
g i is binary,1≤i≤m
h j is binary,1≤j≤n
if WDmax＜460,then WDmin＝100,WDmax＝0.88×WDmax
if WDmin＞RaXY(WD),then WDmin＝RaXY(WD)
wherein WDmax represents the wavelength corresponding to the maximum spectral energy, WDmin represents the wavelength corresponding to the minimum spectral energy, raXY (WD) represents the color rendering index at this wavelength.
And S6, solving the optimization problem in the step S5, and performing simulation test. As a result, as shown in FIG. 3, it can be found that the spectrum of the LED sample almost coincides with the spectrum of the analog synthesis, and the index requirements of the corresponding color temperature and color rendering index are satisfied.
6. The method for automatically proportioning the LED based on the spectral power according to claim 5, wherein the method comprises the following steps: the objective function in S2 is:
the application also discloses an LED automatic proportioning device of the spectral power, which comprises a storage chip, such as Rom, wherein proportioning instructions are stored in the storage chip, and the automatic proportioning method of the LED of the spectral power is executed when the proportioning instructions are operated by a CPU.
The foregoing describes specific embodiments of the present application. It is to be understood that the application is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the application. The embodiments of the application and the features of the embodiments may be combined with each other arbitrarily without conflict.
Claims (7)
1. An automatic LED proportioning method based on spectral power is characterized by comprising the following steps:
step 1: acquiring raw material performance indexes of the LED, wherein the raw material performance indexes comprise material selection of blue chips and red, green and yellow fluorescent powder, and measuring relative spectral power energy values of the raw materials with wavelengths ranging from 360nm to 780nm by using a spectrometer;
step 2: selecting various color temperature and color rendering index indexes and corresponding LED proportions, and establishing a standard database;
step 3: the method comprises the steps of obtaining client requirements, and respectively carrying out automatic proportioning according to the requirements, wherein the requirements comprise two types: based on the LED sample proportion and based on the color temperature and color rendering index proportion;
the typical color temperature in the step 2 comprises 2700K, 3000K, 3500K, 4000K, 4500K, 5000K and 5700K, the typical color rendering index comprises 70, 80 and 90, and 21 corresponding LED ratios are generated by mutual proportioning and used as a standard database;
when the customer requirements in the step 3 are based on the LED sample proportioning, carrying out LED proportioning by adopting a spectrum frequency method;
the method of the spectral frequency comprises the following steps:
s1, measuring the relative spectral power energy value of the LED sample by using a spectrometer;
s2, splitting the spectrum of the LED sample into a blue chip spectrum and a linear superposition of red, green and yellow fluorescent powder spectrum, and constructing an objective function based on a least square method to perform optimization solution;
s3, partially modifying the optimization problem in the step S2, and adjusting the optimization problem to be a mixed integer nonlinear quadratic programming problem;
s4, solving the optimization problem in the step S3, performing simulation test, if the test result meets the requirement, matching successfully, otherwise, entering the step S5;
s5, further adjusting the optimization problem in the S3 by adopting a peak value arrangement and valley value adjustment method;
and S6, solving the optimization problem in the step S5, and performing simulation test.
2. The automatic proportioning method of an LED based on spectral power according to claim 1, wherein: and 3, directly inquiring the LED proportion corresponding to the color temperature and color rendering index requirement in the standard database when the customer demand in the step is based on the color temperature and color rendering index proportion.
3. The automatic proportioning method of an LED based on spectral power according to claim 1, wherein: the objective function in S2 is:
s.t.rank(x)＝1
1≤rank(y)≤2
wherein b represents the relative spectral energy value corresponding to the relative target spectral energy map generated by the LED sample provided by the customer from the wavelength of 360nm to 780 nm;
A 421×m ＝[A 1 ,A 2 ,...,A m ]，A i representing the relative spectral energy value corresponding to a relative target spectral energy diagram generated by a blue chip of raw materials from the wavelength of 360nm to 780nm, and m represents the type number of the blue chip;
B 421×n ＝[B 1 ,B 2 ,...,B n ],B i the relative target spectrum energy diagram generated by the raw material red, green and yellow fluorescent powder is represented by the relative spectrum energy value corresponding to the wavelength from 360nm to 780nm, and n represents the type number of the fluorescent powder;
the x vector represents the proportioning coefficient of each blue chip, and as only one blue chip is selected in the actual LED manufacture, the rank of the x vector is 1;
the y vector represents the proportioning coefficient of each red, green and yellow fluorescent powder, and the rank of the y vector is 1 or 2.
4. The automatic proportioning method of an LED based on spectral power according to claim 1, wherein: the modified optimization problem in the step S3 is as follows:
s.t.x,y≥0
g i is binary,1≤i≤m
h j is binary,1≤j≤n
wherein e represents a Hadamard product operator, namely an element-by-element matrix multiplier, and the elements of g and h vectors are integers of 0-1.
5. The automatic proportioning method of an LED based on spectral power according to claim 1, wherein: in the step S4, the spectrum energy diagram of the LED sample is compared with the calculated spectrum energy diagram of the simulated synthesis of the LED proportion, and whether the LED proportion meets the requirement is judged.
6. The automatic proportioning method of an LED based on spectral power according to claim 1, wherein: the optimization problem adjusted in the step S5 is as follows:
s.t.x,y≥0
g i is binary,1≤i≤m
h j is binary,1≤j≤n
if WD max＜460,then WD min＝100,WD max＝0.88×WDmax
if WD min>RaXY(WD),then WD min＝RaXY(WD)
wherein WDmax represents the wavelength corresponding to the maximum spectral energy, WDmin represents the wavelength corresponding to the minimum spectral energy, raXY (WD) represents the color rendering index at this wavelength.
7. An automatic proportioning device of spectral power's LED, its characterized in that: the automatic proportioning device comprises a memory chip, wherein proportioning instructions are stored in the memory chip, and the proportioning instructions are executed by a CPU to execute the LED automatic proportioning method of the spectral power.
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