A radiation flux distribution curve construction method, system, computer readable storage device and application for visible light spectrum evaluation

Abstract

The present application relates to the technical field of visible light spectrum analysis, in particular to a radiation flux distribution curve construction method and system for visible light spectrum evaluation, a computer readable storage device and application, the construction method comprising the following steps: measuring a plurality of spectrum radiation flux data packets corresponding to a plurality of light sources to be compared and evaluated respectively; summing the radiation flux data of each light source according to a summation formula to obtain a plurality of total radiation fluxes corresponding to the light sources one by one; obtaining a plurality of equal-energy radiation flux data packets corresponding to the light sources respectively; and drawing a radiation flux distribution curve corresponding to each light source according to the equal-energy radiation flux data packet of each light source in a radiation flux distribution coordinate system. The radiation flux distribution curve construction method is more accurate when evaluating the spectrum between different light sources, and can be applied to accurately evaluate the spectrum difference of LED light sources, the spectrum difference of LED lamps, and the influence of the light transmittance of optical materials on the visible light spectrum, and has a wider range of use.

Description

Technical Field

[0001] This invention relates to the field of visible light spectral analysis technology, specifically to a method, system, computer-readable storage device, and application for constructing radiant flux distribution curves for visible light spectral evaluation. Background Technology

[0002] In the LED industry, it is frequently necessary to test the spectral energy distribution of light sources and obtain spectral technical indicators such as color coordinates, color temperature, and color rendering index based on this distribution. It is often necessary to compare two or more products, or to compare the spectra of the same sample under different current operating conditions, to analyze the differences in various technical indicators between the products' spectra. Existing methods for evaluating spectra typically fall into two categories: 1. Absolute spectral method, and 2. Relative spectral method. The absolute spectral method compares the absolute values ​​of the absolute energy of the measured spectra. Because it uses absolute values, when the spectral distribution ratio is the same but the radiant energy is different, the spectral comparison can appear very different, even if the actual spectral distribution ratio is not that large, affecting the judgment result. The relative spectral method forcibly normalizes the spectrum, treating the highest value of the spectrum as 1 for calculation. The difference seen in the comparison is not the actual difference; the highest peak may differ, but by standardizing the highest peak to 1 for comparison, it is equivalent to artificially distorting the spectral curve. Therefore, neither of these existing methods can accurately evaluate the differences between spectra, resulting in low accuracy in spectral evaluation. Summary of the Invention

[0003] The purpose of this invention is to propose a method, system, computer-readable storage device, and application for constructing radiant flux distribution curves for visible light spectral evaluation, aiming to solve the technical problem of inaccurate evaluation of visible light spectra in the prior art.

[0004] To achieve the above objectives, this invention proposes a method for constructing radiant flux distribution curves for visible light spectral evaluation, comprising the following steps: Step 1, measuring the spectral radiant flux data packets A1, A2, ..., An (n greater than or equal to 2) corresponding to several light sources to be compared and evaluated, wherein the spectral radiant flux data packet A1 contains the radiant flux data a1, a2, ..., ai of its corresponding light source;

[0005] Step 2: Summing up the radiant flux data of each light source according to the summation formula yields several total radiant fluxes SUM1, SUM2, ..., SUMn, each corresponding to a light source. Here, SUM1 is the total radiant flux corresponding to A1. The summation formula is: SUM1 = ∑aj, where j = 1, 2, ..., i.

[0006] Step 3: Obtain several iso-energy radiative flux data packets B1, B2, ..., Bn corresponding to each light source. B1 and A1 are the iso-energy radiative flux data packet and the spectral radiative flux data packet corresponding to the same light source, respectively. The iso-energy radiative flux data packet B1 contains the iso-energy radiative flux data b1, b2, ..., bi of its corresponding light source, where b1 = a1 ÷ SUM1, b2 = a2 ÷ SUM1, ..., bi = ai ÷ SUM1.

[0007] Step 4: Construct a radiant flux distribution coordinate system with wavelength as the X-axis and radiant flux as the Y-axis; based on the iso-energy radiant flux data packets B1, B2, ..., Bn of each light source, plot the radiant flux distribution curve corresponding to each light source in the radiant flux distribution coordinate system.

[0008] Preferably, the wavelength range of each light source is 380nm to 780nm.

[0009] Preferably, the sum of the iso-energy radiative flux data corresponding to each light source is 1W; that is, the differences in spectral energy distribution are compared under the condition that the total spectral energy is equal.

[0010] Preferably, the light source is a different light source; or, the light source is the same light source under different currents or powers.

[0011] On the other hand, the present invention also proposes a radiation flux distribution curve construction system, characterized in that the radiation flux distribution curve construction method described above includes a measurement module, a calculation module, a conversion module, and a display module connected in sequence. The measurement module is used to measure the spectral radiation flux of the light source and send it to the calculation module. The calculation module is used to receive the spectral radiation flux of the light source and calculate the total radiation flux and iso-energy radiation flux data. The conversion module is used to convert the iso-energy radiation flux data into a radiation flux distribution curve. The display module is used to display the radiation flux distribution curve.

[0012] On the other hand, the present invention also proposes a computer-readable storage device, including a memory storing a computer program for executing the above-described method for constructing radiation flux distribution curves.

[0013] On the other hand, the present invention also proposes an application of the above-mentioned method for constructing radiation flux distribution curves in evaluating spectral differences between different light sources.

[0014] On the other hand, the present invention also proposes an application of the above-mentioned method for constructing radiation flux distribution curves in evaluating the influence of optical material transmittance on the visible light spectrum, taking a target light source and an optical material to be evaluated.

[0015] Step 1: Measure the spectral radiant flux data of the target light source to obtain the original target data package D1. Then, measure the spectral radiant flux data of the target light source combined with the optical material to be evaluated to obtain the original data package E1. The original target data package D1 contains the radiant flux data d1, d2, ..., di of the target light source, and the original data package E1 contains the radiant flux data e1, e2, ..., ei of the target light source.

[0016] Step 2: Summing the original target data packet D1 and the original data packet E1 respectively yields the corresponding total radiation flux packets D2 and E2;

[0017] Step 3: Calculate the iso-energy radiant flux data packet D3 of the target light source based on the original target data packet D1 and the total radiant flux packet D2; calculate the iso-energy radiant flux data packet E3 of the target light source combined with the optical material to be evaluated based on the original data packet E1 and the total radiant flux packet E2.

[0018] Step 4: Based on the equal energy radiation flux data packets D3 and E3, plot the radiation flux distribution curves of the target light source and the target light source combined with the optical material to be evaluated in the radiation flux distribution coordinate system.

[0019] This invention provides a method, system, computer-readable storage device, and application for constructing radiant flux distribution curves for visible light spectral evaluation. It offers at least the following advantages: The method for constructing radiant flux distribution curves provided in this application converts measured radiant flux data from a light source into iso-energy radiant flux data, and uses this iso-energy radiant flux data to construct a radiant flux distribution curve. This accurately reflects the spectral distribution of the light source, making the evaluation of the spectra between different light sources more precise. It avoids the problem of inaccurate comparative evaluation caused by spectral deviations due to differences in radiant energy or normalization of maximum values. Furthermore, it can be applied to accurately evaluate spectral differences in LED light sources, spectral differences in LED lamps, and the influence of optical material transmittance on the visible light spectrum, thus broadening its application scope. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating the steps of the method for constructing the radiation flux distribution curve of the present invention.

[0021] Figure 2 This is a graph showing the radiation flux distribution using the relative spectral method in Embodiment 1 of the present invention.

[0022] Figure 3 This is a graph showing the radiation flux distribution of the intermediate energy method in Embodiment 1 of the present invention.

[0023] Figure 4 This is a graph showing the radiation flux distribution using the absolute spectral method in Embodiment 2 of the present invention.

[0024] Figure 5 This is a graph showing the radiation flux distribution using the relative spectral method in Embodiment 2 of the present invention.

[0025] Figure 6 This is a graph showing the radiation flux distribution curve of the intermediate energy method in Embodiment 2 of the present invention.

[0026] Figure 7 This is a schematic diagram of the framework structure of the iso-energy visible light spectral evaluation system of the present invention.

[0027] In the attached diagram: 1-Measurement module, 2-Calculation module, 3-Conversion module, 4-Display module. Detailed Implementation

[0028] like Figure 1 As shown, a method for constructing radiant flux distribution curves for visible light spectrum evaluation includes the following steps: Step 1, measuring the spectral radiant flux data packets A1, A2, ..., An (n greater than or equal to 2) corresponding to several light sources to be compared and evaluated, wherein the spectral radiant flux data packet A1 contains the radiant flux data a1, a2, ..., ai of its corresponding light source;

[0029] Step 2: Summing up the radiant flux data of each light source according to the summation formula yields several total radiant fluxes SUM1, SUM2, ..., SUMn, each corresponding to a light source. Here, SUM1 is the total radiant flux corresponding to A1. The summation formula is: SUM1 = ∑aj, where j = 1, 2, ..., i.

[0030] Step 3: Obtain several iso-energy radiative flux data packets B1, B2, ..., Bn corresponding to each light source. B1 and A1 are the iso-energy radiative flux data packet and the spectral radiative flux data packet corresponding to the same light source, respectively. The iso-energy radiative flux data packet B1 contains the iso-energy radiative flux data b1, b2, ..., bi of its corresponding light source, where b1 = a1 ÷ SUM1, b2 = a2 ÷ SUM1, ..., bi = ai ÷ SUM1.

[0031] Step 4: Construct a radiant flux distribution coordinate system with wavelength as the X-axis and radiant flux as the Y-axis; based on the iso-energy radiant flux data packets B1, B2, ..., Bn of each light source, plot the radiant flux distribution curve corresponding to each light source in the radiant flux distribution coordinate system.

[0032] Furthermore, the wavelength range of each light source is 380nm to 780nm. The sum of the iso-energy radiant flux data corresponding to each light source is 1W. By intercepting the wavelength range of the light sources and calculating the iso-energy radiant flux data package for each light source, the sum of the iso-energy radiant flux data corresponding to each light source is made to be 1W. By fixing the 1W radiant flux, it is convenient to compare the data of at least two light sources. By constructing a radiant flux distribution coordinate system, the iso-energy radiant flux data corresponding to each light source is displayed more intuitively through curves using graphical visualization, making it easier to compare, evaluate, and analyze the radiant energy distribution of the light sources.

[0033] Taking the evaluation of the spectra of two light sources (light source A and light source B) as an example, the spectral radiant flux data of light source A and light source B to be compared and evaluated are measured by a spectral analysis instrument. The spectral radiant flux data includes all wavelengths of visible light (380nm~780nm) in units of 1nm (nanometer) and the radiant flux corresponding to the wavelength. The spectral radiant flux data package of light source A is A1, in which each wavelength of light source A corresponds to one radiant flux data. In this embodiment, the spectral radiant flux data package A1 contains 401 radiant flux data (a1, a2, ..., a401). The spectral radiant flux data package of light source B is A2, in which each wavelength of light source B corresponds to one radiant flux data. The spectral radiant flux data package A2 also contains 401 radiant flux data (a402, a403, ..., a802). Then, the 401 radiant flux data in A1 are summed to obtain the total radiant flux SUM1 (SUM1 = a1 + a2 + a3 + ... + a401), and the 401 radiant flux data in B1 are summed to obtain the total radiant flux SUM2 (SUM2 = a402 + a403 + a404 + ... + a802). The 401 radiant flux data in A1 are divided by the radiant flux SUM1 to obtain the iso-energy radiant flux data b1, b2, ..., b401 corresponding to each wavelength value. All the iso-energy radiant flux data (b1, b2, ..., b401) for all wavelength values ​​are combined into an iso-energy radiant flux data packet B1, where B1 equals 1 W (watts). That is, the sum of the iso-energy radiant flux data (b1, b2, ..., b401) for all wavelength values ​​is 1 W. Using each of the 401 radiant flux data in A2... The 401 radiative flux data are divided by the radiative flux SUM2 to obtain the iso-energy radiative flux data b402, b403, ..., b802 corresponding to each wavelength value. The iso-energy radiative flux data (b402, b403, ..., b802) of all wavelength values ​​are combined into an iso-energy radiative flux data packet B2, where B2 equals 1W (watts). That is, the sum of the iso-energy radiative flux data (b402, b403, ..., b802) of all wavelength values ​​is 1W. Construct a radiative flux distribution coordinate system with wavelength as the X-axis and radiative flux as the Y-axis. Plot the radiative flux distribution curve of source A on the coordinate system by mapping the wavelength of source A to the X-axis and the equivalent energy radiative flux data packet B1 to the Y-axis. Plot the radiative flux distribution curve of source B on the coordinate system by mapping the wavelength of source B to the X-axis and the equivalent energy radiative flux data packet B2 to the Y-axis. Compare and analyze the radiative flux distribution curves of source A and source B. The difference between the two curves is the difference in the actual spectral energy distribution of source A and source B.Compared to existing absolute and relative spectral methods for evaluating spectra, the radiant flux distribution curve construction method provided in this scheme can more accurately evaluate the spectra of different light sources, avoiding human-induced distortion of the radiant flux distribution curve and thus preventing evaluation bias. It also avoids significant differences in the distribution ratio of the same spectrum due to different power levels, which could affect the accuracy of the evaluation results. Existing instruments capable of measuring spectral energy can be used for spectral analysis; however, the same instrument should generally be used when measuring different light sources to avoid measurement errors caused by instrument limitations, leading to inaccurate evaluation results. Specifically, the HAAS-2000 high-precision rapid spectroradiometer from Hangzhou Yuanfang Optoelectronic Information Co., Ltd. can be used.

[0034] It should be noted that the method for constructing radiant flux distribution curves provided in this scheme is not limited to comparing and evaluating two light sources, but can simultaneously compare and evaluate multiple light sources (either simultaneously or separately). Combining the above content regarding comparing and evaluating light source A and light source B, when comparing three or more light sources simultaneously, the spectral radiant flux data of each light source is measured to obtain the corresponding spectral radiant flux data package; the sum of the radiant flux data of each light source is calculated to obtain the total radiant flux of each light source; according to step three above, the iso-energy radiant flux data of each light source is calculated; the iso-energy radiant flux data of each light source is constructed into a radiant flux distribution curve corresponding to each light source; by comparing and analyzing the radiant flux distribution curves of all light sources, the differences between the spectral energy distributions of all light sources can be evaluated.

[0035] Furthermore, source A and source B can be different sources; that is, when using the radiant flux distribution curve construction method provided in this scheme to evaluate different sources, source A and source B are considered different sources. Alternatively, source A and source B can also be the same source under different currents or powers; that is, when using the radiant flux distribution curve construction method provided in this scheme to evaluate the spectral energy distribution of the same source under different currents or powers, source A and source B are considered the same source under different currents or powers. As mentioned earlier, the radiant flux distribution curve construction method can simultaneously evaluate two or more sources, and therefore can also evaluate the spectral energy distribution of the same source under two or more currents or powers. This method is not only accurate but also has a wider range of applications and is more practical.

[0036] Example 1

[0037] This embodiment compares the difference in spectral radiant flux between two light source samples (sample A and sample B) under the same conditions. It compares the results obtained using this method with those obtained using existing relative spectroscopy. Since the samples are under the same conditions, the comparison using existing absolute spectroscopy is omitted. First, the two samples were measured using a HAAS-2000 high-precision rapid spectroradiometer, yielding data as shown in Table 1. The maximum radiant flux of sample A between 380nm and 780nm was 0.0004660700W (corresponding to a wavelength of 459nm), and the total radiant flux of sample A between 380nm and 780nm was 0.092868W (rounded to six decimal places). The maximum radiant flux of sample B between 380nm and 780nm was 0.0035332000W (corresponding to a wavelength of 454nm), and the total radiant flux of sample B between 380nm and 780nm was 0.376488W (rounded to six decimal places).

[0038] Dividing the radiant flux of sample A in Table 1 by the maximum radiant flux of sample A between 380 nm and 780 nm yields 0.0004660700 W. Dividing the radiant flux of sample B in Table 1 by the maximum radiant flux of sample B between 380 nm and 780 nm yields 0.0035332000 W, Table 2 is obtained. A radiant flux distribution coordinate system is constructed with wavelength as the x-axis and radiant flux as the y-axis. The data from Table 2 is then input into the radiant flux distribution coordinate system to obtain... Figure 2 .

[0039] Dividing the radiant flux of sample A in Table 1 by the sum of the radiant fluxes of sample A between 380 nm and 780 nm yields 0.092868 W. Dividing the radiant flux of sample B in Table 1 by the sum of the radiant fluxes of sample B between 380 nm and 780 nm yields 0.376488 W, resulting in Table 3. A radiant flux distribution coordinate system is constructed with wavelength as the x-axis and radiant flux as the y-axis. The data from Table 3 are then input into this coordinate system to obtain the radiant flux distribution data. Figure 3 .

[0040] Figure 2 To obtain the radiant flux distribution curves of sample A and sample B obtained using the existing relative spectroscopy method, from... Figure 2 It can be seen that the highest peak of both the curves for sample A and sample B is 1W. This is equivalent to unifying the highest peak to 1W for comparison, which is like artificially distorting the curves, thus causing... Figure 2 The difference between sample A and sample B shown in the report deviates significantly from the actual difference, therefore the evaluation of samples A and B is not accurate enough. Figure 3 These are radiation flux distribution curves for sample A and sample B, obtained using the radiation flux distribution curve construction method proposed in this application. Figure 3It can be seen that the peak values ​​of the curves for sample A and sample B differ significantly. The latter part of the curve for sample B is initially higher than that for sample A, and then lower. This latter part of the difference is related to... Figure 2 The differences shown are completely different. Therefore, by comparing the existing relative spectroscopy method and the radiation flux distribution curve construction method of this application, it can be intuitively seen that the radiation flux distribution curve construction method can avoid the distortion of the radiation flux distribution curve caused by human intervention, thus avoiding the deviation in evaluation and ensuring the accuracy of spectral evaluation.

[0041] Table 1. Statistical Table of Spectral Radiation Flux Data in Example 1

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[0047] Table 2. Statistical Table of Calculation Data by Relative Spectroscopy in Example 1

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[0053] Table 3. Statistical Table of Iso-energy Radiation Flux Data in Example 1

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[0059] Example 2

[0060] This embodiment compares the differences in spectral radiant flux of the same sample under different power conditions (0.1W, 0.2W, and 0.5W, respectively) to illustrate the differences between the results obtained by this method and two existing methods. First, the same sample under different power conditions was measured using a HAAS-2000 high-precision rapid spectroradiometer, yielding data as shown in Table 4. Under the 0.1W condition, the maximum radiant flux between 380nm and 780nm was 0.0002639200W (corresponding to a wavelength of 460nm), and the total radiant flux between 380nm and 780nm was 0.047454W (rounded to six decimal places). Under the 0.2W condition, the radiant flux between 380nm and 780nm... The maximum radiant flux is 0.0004660700W (corresponding to a wavelength of 459nm), and the total radiant flux between 380nm and 780nm is 0.092868W (rounded to six decimal places). Under the condition of 0.5W, the maximum radiant flux between 380nm and 780nm is 0.0011052000W (corresponding to a wavelength of 444nm), and the total radiant flux between 380nm and 780nm is 0.214493W (rounded to six decimal places).

[0061] Construct a radiative flux distribution coordinate system with wavelength as the x-axis and radiative flux as the y-axis. Input the data from Table 4 into the radiative flux distribution coordinate system to obtain the results. Figure 4 .

[0062] The maximum value of the radiant flux between 380nm and 780nm is 0.0002639200W when the radiant flux of 0.1W in Table 4 is divided by 0.2W, resulting in 0.0004660700W. The maximum value of the radiant flux between 380nm and 780nm is 0.0011052000W when the radiant flux of 0.5W in Table 4 is divided by 0.5W, yielding Table 5. A radiant flux distribution coordinate system is constructed with wavelength as the x-axis and radiant flux as the y-axis. The data from Table 5 are then input into this coordinate system to obtain the radiant flux distribution data. Figure 5 .

[0063] The total radiant flux between 380nm and 780nm, calculated by dividing the 0.1W radiant flux in Table 4 by 0.1W, is 0.047454W. The total radiant flux between 380nm and 780nm, calculated by dividing the 0.2W radiant flux in Table 4 by 0.2W, is 0.092868W. The total radiant flux between 380nm and 780nm, calculated by dividing the 0.5W radiant flux in Table 4 by 0.5W, is 0.214493W. Table 6 is derived from this. A radiant flux distribution coordinate system is constructed with wavelength as the x-axis and radiant flux as the y-axis. The data from Table 6 are then input into this coordinate system to obtain the radiant flux distribution data. Figure 6 .

[0064] Figure 4 To obtain the spectral radiant flux distribution curves of the same sample at different powers using existing absolute spectroscopy methods, from... Figure 4 As can be seen, the spectral distribution curves of the same light source at different powers vary greatly, resulting in a large deviation in the spectral evaluation of the light source. Figure 5 To obtain the spectral radiant flux distribution curves of the same sample at different powers using existing relative spectroscopy methods, from... Figure 5 It can be seen that the highest peak of all three curves is 1W, which is equivalent to unifying the highest peak to 1W for comparison. This is like artificially distorting the curves, thus causing... Figure 5 The difference between the three curves shown in the image deviates significantly from the actual difference, thus the spectral evaluation of the light source is not accurate enough. Figure 6 These are spectral radiative flux distribution curves of the same sample at different powers, obtained using the radiative flux distribution curve construction method proposed in this application. Figure 6 It can be seen that the three curves are generally similar with small differences, but there are relatively large differences between the two peaks and the troughs following the peaks. Figure 4 and Figure 5 The differences shown in the text are as follows: Figure 6 The differences shown are all different. Comparison Figures 4 to 6 As can be seen, the radiant flux distribution curve construction method can more intuitively show the actual differences in radiant flux distribution when evaluating the same sample at different powers. It avoids large curve differences caused by power variations and curve distortion due to peak normalization, thus preventing significant deviations between the actual and displayed differences. Therefore, this method provides a more accurate evaluation of spectral energy distribution. On the other hand, in the 400nm–480nm band, the three curves show relatively large differences, indicating that the energy distribution ratio of the chip changes under varying power conditions; while above 480nm, the three curves almost overlap, indicating that the energy distribution ratio in the phosphor band does not actually change. This is... Figure 4 and Figure 5The changes are not actually visible, or the visible changes deviate from the actual changes. Therefore, this method can reveal the specific reasons why the energy distribution ratio changes when the power is changed, thus facilitating the design and adjustment of the light source.

[0065] Table 4. Statistical Table of Spectral Radiation Flux Data in Example 2

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[0074] Table 5. Statistical Table of Relative Spectroscopy Calculation Data in Example 2

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[0080] Table 6. Statistical Table of Energy Radiant Flux Data in Example 2

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[0086] like Figure 7As shown, another aspect of the present invention proposes a radiation flux distribution curve construction system for performing the above-described radiation flux distribution curve construction method. The system includes a measurement module 1, a calculation module 2, a conversion module 3, and a display module 4 connected in sequence. The measurement module 1 measures the spectral radiation flux of a light source and sends it to the calculation module 2. The calculation module 2 receives the spectral radiation flux of the light source and calculates the total radiation flux and iso-energy radiation flux data. The conversion module 3 converts the iso-energy radiation flux data into a radiation flux distribution curve. The display module 4 displays the radiation flux distribution curve.

[0087] Measurement module 1 is connected to calculation module 2, calculation module 2 is connected to conversion module 3, and conversion module 3 is connected to display module 4. Measurement module 1 specifically refers to a spectral analysis instrument. Measurement module 1 measures the light source and sends the data to calculation module 2. Calculation module 2 calculates and generates iso-energy radiant flux data according to steps two and three of the aforementioned radiant flux distribution curve construction method. Calculation module 2 sends the iso-energy radiant flux data to conversion module 3, which converts the iso-energy radiant flux data into a radiant flux distribution curve according to step four. Display module 4 (e.g., a display screen) visualizes the radiant flux distribution curve. This construction system can execute the above construction method, thus possessing the beneficial effects of the aforementioned evaluation method, which will not be elaborated upon here. Furthermore, by designing this construction system, the evaluation of the light source spectrum can be made more convenient and efficient.

[0088] In another aspect, the present invention also proposes a computer-readable storage device, including a memory storing a computer program for executing the above-described method for constructing radiation flux distribution curves.

[0089] In another aspect, this invention proposes the application of the radiation flux distribution curve construction method in evaluating spectral differences between different light sources. As can be seen in Example 1, the radiation flux distribution curve construction method can accurately evaluate the spectral differences between different light sources; that is, the multiple samples in Example 1 represent different light sources.

[0090] In another aspect, this invention also proposes an application of the radiant flux distribution curve construction method in evaluating the influence of optical material transmittance on the visible light spectrum. A target light source and an optical material to be evaluated are selected. Step one involves measuring the spectral radiant flux data of the target light source to obtain the original target data package D1. Then, the spectral radiant flux data of the target light source combined with the optical material to be evaluated are measured to obtain the original data package E1. The original target data package D1 contains the radiant flux data d1, d2, ..., dn of the target light source, and the original data package E1 contains the radiant flux data e1, e2, ..., en of the target light source. Step 2: Summate the original target data packet D1 and the original data packet E1 to obtain the corresponding total radiant flux packets D2 and E2. Step 3: Calculate the iso-energy radiant flux data packet D3 of the target light source based on the original target data packet D1 and the total radiant flux packet D2, and calculate the iso-energy radiant flux data packet E3 of the target light source combined with the optical material to be evaluated based on the original data packet E1 and the total radiant flux packet E2. Step 4: Based on the iso-energy radiant flux data packets D3 and E3, plot the radiant flux distribution curves of the target light source and the target light source combined with the optical material to be evaluated in the radiant flux distribution coordinate system.

[0091] When applying the radiant flux distribution curve construction method to evaluate the impact of optical material transmittance on the visible light spectrum, the main comparison is between the spectral radiant flux distribution of a single light source and the spectral radiant flux distribution of that light source combined with optical materials. Currently, luminaires exhibit color shift (i.e., chromatic aberration) during dimming (e.g., by adding a diffuser), but the specific cause of this color shift has remained unknown. By using the radiant flux distribution curve construction method, it can be determined that light radiates different energies in different wavelength bands, and the transmittance can be determined based on the level of radiant energy. For example, if the radiant energy is high in a certain wavelength band (e.g., 420nm–450nm), it indicates high transmittance in that band; if the radiant energy is low in another wavelength band (e.g., 450nm–600nm), it indicates low transmittance in that band; and if the radiant energy increases again in another wavelength band (above 600nm), it indicates high transmittance in that band. Transmittance is a curve, not a straight line; the shape of the spectrum itself means that when the transmittance increases in a certain region, the energy in that region will also increase; when the transmittance decreases, the spectral energy will also decrease; therefore, the shape of the spectrum also changes, and the calculated color temperature will differ. This is why optical materials affect color temperature.

[0092] The above description is merely a preferred embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the present invention's specification and drawings under the inventive concept of the present invention, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A method for constructing a radiant flux distribution curve for visible light spectrum evaluation, characterized by, The method comprises the following steps: Step one, respectively measure the spectral radiant flux data packets A1, A2, …, An (n is greater than or equal to 2) of a plurality of light sources to be compared and evaluated, wherein the spectral radiant flux data packet A1 contains the radiant flux data a1, a2, …, ai of the corresponding light source; Step two, summing up the radiant flux data of each light source respectively according to the summation formula to obtain a plurality of total radiant fluxes SUM1, SUM2,..., SUM corresponding to the light sources one by one n wherein SUM1 is the total radiant flux corresponding to A1; the summation formula is: SUM1 =∑aj, wherein j = 1, 2,..., i; Step three, obtain the equal-energy radiant flux data packets B1, B2, …, Bn corresponding to the plurality of light sources respectively, wherein B1 and A1 are the equal-energy radiant flux data packet and the spectral radiant flux data packet corresponding to the same light source respectively, the equal-energy radiant flux data packet B1 contains the equal-energy radiant flux data b1, b2, …, bi of the corresponding light source, b1=a1÷SUM1, b2=a2÷SUM1, …, bi=ai÷SUM1; Step four, construct a radiant flux distribution coordinate system with wavelength value as X axis and radiant flux as Y axis; draw the radiant flux distribution curve corresponding to each light source on the radiant flux distribution coordinate system according to the equal-energy radiant flux data packets B1, B2, …, Bn of each light source.

2. The method for constructing a radiant flux distribution curve for visible light spectrum evaluation according to claim 1, characterized in that, The wavelength range of each light source is 380nm-780nm.

3. The method for constructing a radiant flux distribution curve for visible light spectrum evaluation according to claim 1, characterized in that, The sum of the equal-energy radiant flux data corresponding to each light source is 1W.

4. The method for constructing a radiation flux distribution curve for visible light spectrum evaluation according to claim 1, characterized in that, The light sources are different light sources; or, the light sources are the same light source under different currents or powers.

5. A system for constructing a radiation flux distribution profile, characterized in that A device for performing the radiant flux distribution curve construction method according to any one of claims 1 to 4, comprising a measurement module (1), a calculation module (2), a conversion module (3) and a display module (4) connected in sequence, the measurement module (1) is used for measuring the spectral radiant flux of the light source and sending it to the calculation module (2), the calculation module (2) is used for receiving the spectral radiant flux of the light source and calculating the total radiant flux and the equal-energy radiant flux data, the conversion module (3) is used for converting the equal-energy radiant flux data into the radiant flux distribution curve, and the display module (4) is used for displaying the radiant flux distribution curve.

6. A computer-readable storage device, comprising: A computer program product comprising a memory storing a computer program for performing the radiant flux distribution curve construction method according to any one of claims 1 to 4.

7. An application of the radiant flux distribution curve construction method according to any one of claims 1 to 4 in evaluating the spectral difference between different light sources.

8. Use of the method for constructing a radiant flux distribution curve according to any one of claims 1 to 4 for evaluating the effect of the transmittance of an optical material on the visible light spectrum, characterized in that, Take a target light source and an optical material to be evaluated; Step one, measure the spectral radiant flux data of the target light source to obtain the original target data packet D1 of the light source, and then measure the spectral radiant flux data of the target light source combined with the optical material to be evaluated to obtain the original data packet E1; wherein the original target data packet D1 contains the radiant flux data d1, d2, …, di of the target light source, and the original data packet E1 contains the radiant flux data e1, e2, …, ei of the target light source; Step two, sum the original target data packet D1 and the original data packet E1 respectively to obtain the corresponding total radiant flux packets D2 and E2; The wavelength range of each light source is 380nm-780nm. The sum of the equal-energy radiant flux data corresponding to each light source is 1W. The light sources are different light sources; or, the light sources are the same light source under different currents or powers. A device for performing the radiant flux distribution curve construction method according to any one of claims 1 to 4, comprising a measurement module (1), a calculation module (2), a conversion module (3) and a display module (4) connected in sequence, the measurement module (1) is used for measuring the spectral radiant flux of the light source and sending it to the calculation module (2), the calculation module (2) is used for receiving the spectral radiant flux of the light source and calculating the total radiant flux and the equal-energy radiant flux data, the conversion module (3) is used for converting the equal-energy radiant flux data into the radiant flux distribution curve, and the display module (4) is used for displaying the radiant flux distribution curve. A computer program product comprising a memory storing a computer program for performing the radiant flux distribution curve construction method according to any one of claims 1 to 4.

7. An application of the radiant flux distribution curve construction method according to any one of claims 1 to 4 in evaluating the spectral difference between different light sources. Take a target light source and an optical material to be evaluated; Step one, measure the spectral radiant flux data of the target light source to obtain the original target data packet D1 of the light source, and then measure the spectral radiant flux data of the target light source combined with the optical material to be evaluated to obtain the original data packet E1; wherein the original target data packet D1 contains the radiant flux data d1, d2, …, di of the target light source, and the original data packet E1 contains the radiant flux data e1, e2, …, ei of the target light source; Step two, sum the original target data packet D1 and the original data packet E1 respectively to obtain the corresponding total radiant flux packets D2 and E2; Step three, calculating the equal-energy radiation flux data packet D3 of the target light source according to the original target data packet D1 and the total radiation flux packet D2, and calculating the equal-energy radiation flux data packet E3 of the combination of the target light source and the optical material to be evaluated according to the original data packet E1 and the total radiation flux packet E2; Step four, drawing the radiation flux distribution curves of the target light source and the combination of the target light source and the optical material to be evaluated in the radiation flux distribution coordinate system according to the equal-energy radiation flux data packets D3 and E3.

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