A light source display adjusting method applied to a stage lamp and a stage lamp using the same
Patent Information
- Application Number
- CN202211519176.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-11-30
- Publication Date
- 2026-08-18
- Estimated Expiration
- 2042-11-30
AI Technical Summary
但是对于光源来说,通常显色指数越高,其亮度就会越低
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Figure CN115802540B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of light source color index adjustment technology, and more specifically, to a light source color index adjustment method for stage lights and a stage light using the same. Background Technology
[0002] The Color Rendering Index (CRI) refers to a light source's ability to reproduce the visual perception of objects under sunlight. A higher CRI, closer to 100, indicates a stronger ability to reproduce the colors of objects, making it easier for the human eye to distinguish colors. However, for light sources, a higher CRI usually corresponds to lower brightness. Stage lights, as stage lighting fixtures, need to balance CRI and brightness. Currently, stage light sources typically do not allow for CRI adjustment, or only offer switching between high and low CRI modes, rather than allowing for flexible adjustment of the CRI to best balance both CRI and brightness. Summary of the Invention
[0003] To overcome at least one of the defects of the prior art, the present invention provides a method for adjusting the color rendering index of a stage light source, which can arbitrarily adjust the color rendering index of the light source to a certain value, thereby maximizing the color rendering index while ensuring brightness.
[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a method for adjusting the light source color index of stage lights, comprising the following steps: S1. Provide a controlled light source having a first color rendering index (CRI) LED chip group and a second CRI LED chip group, wherein the first CRI LED chip group has a first CRI, and the second CRI LED chip group has a second CRI; obtain the color temperature of the first CRI LED chip group and the color temperature of the second CRI LED chip group, as well as the relative spectral power distribution P of the first CRI LED chip group at maximum brightness. A ( The relative spectral power distribution P of the second display index LED chipset B ( ), and P A ( ), P B ( Normalization, P A ( The normalization coefficient is denoted as K. A P B ( The normalization coefficient is denoted as K. B ; S2. Based on the input target color index and target color temperature, obtain the normalized relative spectral power distribution P of the reference light source. 目 ( ), which is taken as the target spectrum, and the range of chromaticity difference of the target spectrum and the range of chromaticity difference of 14 Munsell color samples of the target spectrum are defined; S3. Repeatedly adjust the light intensity control parameter K1 of the first color index LED chip group and the light intensity control parameter K2 of the second color index LED chip group, where 0≤K1≤K A 0≤K2≤K B According to K1, K2 and P A ( ), P B ( Calculate the relative spectral power distribution P of the synthesized light spectrum from the controlled light source. 合 ( =K1P A ( )+ K2P B ( ), to find the relative spectral power distribution P 合 ( The range of chromaticity differences falling into the target spectrum and the K1 and K2 values within the chromaticity difference range of the 14 Munsell color samples of the target spectrum; S4. Based on the found K1 and K2 values, control the first and second display index LED chip groups to emit light respectively.
[0005] The light source color index adjustment method provides a controlled light source including a first color index LED chip group with a first color index and a second color index LED chip group with a second color index, based on the target spectrum P of the reference light source at the target color index and target color temperature. 目 ( (This sentence appears to be incomplete and requires more context.) The text describes a process of defining the chromaticity difference range of the target spectrum and the chromaticity difference range of 14 Munsell color samples. It then describes adjusting the light intensity control parameters K1 and K2 of the first and second color index LED chipsets to calculate the relative spectral power distribution P of the synthesized light spectrum from the controlled light source. 合 ( =K1P A ( )+ K2P B ( ), to find the relative spectral power distribution P 合 ( The K1 and K2 values fall within the target spectral chromaticity difference range and the color difference range of the 14 Munsell color samples in the target spectrum. The K1 and K2 values are selected as needed, thereby enabling the adjustment of the color rendering index of the controlled light source.
[0006] Furthermore, the first and second CRI LED chip groups have the same color temperature, and the target color temperature is the color temperature of both the first and second CRI LED chip groups. This eliminates the need to consider color temperature during CRI adjustment, facilitating the calculation of the K1 and K2 values required for the first and second CRI LED chip groups to achieve the target CRI.
[0007] Furthermore, when the color temperature of the controlled light source is greater than 5000K, a standard illuminator D is selected as the reference light source; when the color temperature is less than 5000K, a blackbody radiation source is selected as the reference light source. This allows for a higher similarity between the reference light source and the controlled light source, enabling better simulation calculations of the controlled light source based on the reference light source.
[0008] Furthermore, both the first and second CRI LED chip groups are white light chips. That is, both the first and second CRI LED chip groups emit white light, resulting in higher luminous efficiency.
[0009] Furthermore, in step S3, after finding the first set that makes P 合 ( After normalizing the K1 and K2 values to be close to the target spectrum, the K1 and K2 values are modified within a certain range, and the relative spectral power distribution P of the synthesized spectrum is calculated based on the modified K1 and K2 values. 合 ( Then normalize it and look for other ways to make P 合 ( Normalize the K1 and K2 values that are close to the target spectrum. Since the K1 and K2 values that meet the conditions are generally clustered in a certain region, after finding the first set of K1 and K2 values that meet the conditions, search for other K1 and K2 values that meet the conditions in the vicinity of that value. This can achieve the goal of quickly finding all K1 and K2 values that meet the conditions, saving time and computing power.
[0010] Furthermore, the first set of P is found using interpolation. 合 ( Normalize the K1 and K2 values to be close to the target spectrum. Interpolation is a common practice for fast solutions, which can quickly find the K1 and K2 values, saving time and computing power.
[0011] Furthermore, when modifying the values of K1 and K2 within a certain range, interpolation is also used, but the magnitude of the interpolation value is one order of magnitude lower than that used when searching for the first set of K1 and K2 values. This improves the calculation speed and makes the search process for K1 and K2 as accurate as possible.
[0012] Furthermore, when K A =1 and K BWhen K = 1, within a certain range, it refers to K1-0.1 to K1+0.1 and K2-0.1 to K2+0.1. A =1 and K B When K1 = 1, the K1 and K2 values that meet the conditions are generally distributed within a range of 0.1. Therefore, after finding the first set of K1 and K2 values, by fluctuating the corresponding values of K1 and K2 by 0.1, almost all K1 and K2 values that meet the conditions can be found.
[0013] Furthermore, in step S3, multiple sets of K1 and K2 values that meet the conditions are found, and the relative magnitudes of the power and brightness of the synthesized light at this time are calculated. In step S4, a set of K1 and K2 values are selected according to the power or brightness requirements to control the first and second color index LED chip groups to emit light respectively. Thus, within a certain power or brightness range, light with the target color index emitted by the controlled light source at a specified power or brightness can be achieved.
[0014] Further, in step S4, based on the input composite optical power, select the K1 and K2 values corresponding to the target color rendering index from multiple sets of K1 and K2 values. This ensures that the composite optical power of the controlled light source remains constant during the adjustment of the controlled light source to achieve different color rendering indices. Alternatively, in step S4, select the K1 and K2 values that maximize the composite optical power from multiple sets of K1 and K2 values corresponding to the target color rendering index. This ensures that the composite optical power reaches its maximum for each color rendering index during the adjustment of the controlled light source. Or, in step S4, select the K1 and K2 values that maximize the composite brightness from multiple sets of K1 and K2 values corresponding to the target color rendering index. This ensures that the composite brightness reaches its maximum for each color rendering index during the adjustment of the controlled light source.
[0015] Furthermore, in step S3, the chromaticity difference satisfies the color range of different color intervals corresponding to the McAdam ellipse on the CIE1976 UCS diagram. Different lamp types can choose different standards, but all must conform to the color range of different color intervals corresponding to the McAdam ellipse, thereby filtering K1 and K2 values within a reasonable range, avoiding too many interference values, and improving the calculation speed.
[0016] Furthermore, in step S3, we search for the relative spectral power distribution P. 合 ( The specific steps for determining the range of chromaticity differences falling within the target spectrum and the K1 and K2 values within the chromaticity difference range of the 14 Munsell color samples in the target spectrum are as follows: S31. Based on a set of K1 and K2 values corresponding to... Calculate the color coordinates of the controlled light source ( , ), tristimulus value ( ) and CIE1976 UCS chromaticity coordinates ( , ), and the color coordinates of each test color i (i=1, 2, 3…, 14) of 14 Munsell color samples under controlled light source ( , CIE tristimulation value ( ) and chromaticity coordinates ( , ),in P 合 ( ); S32. Based on the relative spectral power distribution P of the reference light source 目 ( ), calculate the chromaticity coordinates of each test color i (i=1, 2, 3…, 14) of the 14 Munsell color samples of the reference light source. , ) and CIE1976 UCS chromaticity coordinates ( , ); S33, Set the CIE1976 UCS chromaticity coordinates of the controlled light source ( , Corrected to CIE1976 UCS chromaticity coordinates of the reference illuminator. , ), that is to say The chromaticity coordinates of each test color i of the 14 Munsell color samples under controlled light source ( , The chromaticity coordinates of each test color i in the 14 Munsell color samples of the reference light source are corrected to ( , ), as detailed below: Calculation formula based on correction factor In the formula, (u, v) are the chromaticity coordinates in the CIE1960 UCS chromaticity diagram, and c and d are the color adaptation correction coefficients derived from these coordinates. These are obtained respectively. CIE1976 UCS chromaticity coordinate correction factor for reference light source In the formula ( , ( ) is the CIE 1976 UCS chromaticity coordinate of the reference light source. CIE1976 UCS chromaticity coordinate correction factor for controlled light source , In the formula ( , ( ) represents the CIE1976 UCS chromaticity coordinates of the controlled light source. Chromaticity coordinate correction factors for each test color i of 14 Munsell color samples under controlled light source , : In the formula ( , (i) represents the chromaticity coordinates of each test color i in 14 Munsell color samples under controlled light source; Based on the CIE1976 UCS chromaticity coordinate correction factor of the reference light source CIE1976 UCS chromaticity coordinate correction factor for controlled light sources , And the chromaticity coordinate correction factors for each test color i of the 14 Munsell color samples under controlled light source. , Thus, the corrected chromaticity coordinates of each test color i of the 14 Munsell color samples under controlled light source were obtained. ): ; S34. Based on the chromaticity coordinates of each test color i of the 14 Munsell color samples from the reference light source ( , ) and the CIE1976 UCS chromaticity coordinates of the reference light source ( , ), calculate the coordinates of each test color i in the CIE1964 uniform color space of 14 Munsell color samples of the reference light source (). , ): ,in The coefficient of the tristimulus value Y of each test color in 14 Munsell color samples for reference light source is 1 / 3 square root of the coefficient, where 1≤Y≤100; Based on the corrected chromaticity coordinates of each test color i from 14 Munsell color samples under controlled light source ( CIE1976 UCS corrected chromaticity coordinates of controlled light sources ( , ), calculate the coordinates of each test color i in the CIE1964 uniform color space of 14 Munsell color samples under controlled light source (). , ,in The coefficient is 1 / 3 square root of the tristimulus value Y of each test color in 14 Munsell color samples under controlled light source, where 1≤Y≤100; S35. Using the CIE 1964 color difference formula, calculate the color difference between the controlled light source and the reference light source for the same Munsell color sample test color i. = Determine the color difference of each Munsell color sample test color i. If the color difference of the target spectrum falls within the range of the 14 Munsell color samples, retain the K1 and K2 values for this set; otherwise, verify the K1 and K2 values for the next set. This allows us to obtain the relative spectral power distribution P that enables the synthesized light spectrum from the controlled light source. 合 ( The K1 and K2 values match the color difference range of the 14 Munsell color samples in the target spectrum.
[0017] The present invention also discloses a stage lamp, wherein the controlled light source color index (CRI) within the lamp head is adjusted using any of the above-described light source color index adjustment methods. Attached Figure Description
[0018] Figure 1 This is a schematic diagram of the structure of the first embodiment of the controlled light source of the present invention.
[0019] Figure 2 This is a schematic diagram of the structure of the second embodiment of the controlled light source of the present invention.
[0020] Figure 3 This is a flowchart illustrating the light source color index adjustment method of the present invention.
[0021] Figure 4 This invention seeks to make P 合 ( A flowchart illustrating the process of calculating the K1 and K2 values within the color difference range of 14 Munsell color samples falling into the target spectrum.
[0022] Figure 5 This is a schematic diagram of the overall structure of the stage lamp of the present invention.
[0023] Figure 6 This is a schematic diagram of the focusing structure of the controlled light source of the present invention.
[0024] In the picture: 100. Controlled light source; 110. First CRI LED chip group; 120. Second CRI LED chip group; 130. Circuit board; 140. First light-collecting lens; 150. Second light-collecting lens; 160. First light-mixing lens; 170. Second light-mixing lens; 180. Light-collecting mirror; 200. Lamp head; 210. Focusing lens; 220. Magnifying lens; 230. Fixed lens; 300. Support arm; 400. Chassis. Detailed Implementation
[0025] The accompanying drawings are for illustrative purposes only and should not be construed as limiting this patent. To better illustrate this embodiment, some components in the drawings may be omitted, enlarged, or reduced, and do not represent the actual dimensions of the product. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings. The positional relationships described in the drawings are for illustrative purposes only and should not be construed as limiting this patent.
[0026] like Figure 1 , Figure 3 This invention provides a method for adjusting the color rendering index (CRI) of a stage light source, comprising the following steps: S1. Provide a controlled light source 100 having a first color rendering index (CRI) LED chip group 110 and a second CRI LED chip group 120, wherein the first CRI LED chip group 110 has a first CRI and the second CRI LED chip group 120 has a second CRI; obtain the color temperature of the first CRI LED chip group 110 and the color temperature of the second CRI LED chip group 120, and the relative spectral power distribution P of the first CRI LED chip group 110 at maximum brightness. A ( The relative spectral power distribution P of the second display index LED chipset 120 B ( ), and P A ( ), P B ( Normalization, P A ( The normalization coefficient is denoted as K. A P B ( The normalization coefficient is denoted as K. B ; S2. Based on the input target color index and target color temperature (the target color temperature is a value between the color temperature of the first color index LED chip group 110 and the color temperature of the second color index LED chip group 120), obtain the normalized relative spectral power distribution P of the reference light source. 目 ( ), which is taken as the target spectrum, and the range of chromaticity difference of the target spectrum and the range of chromaticity difference of 14 Munsell color samples of the target spectrum are defined; S3. Repeatedly adjust the light intensity control parameter K1 of the first color index LED chip group 110 and the light intensity control parameter K2 of the second color index LED chip group 120, where 0≤K1≤K A 0≤K2≤K B According to K1, K2 and P A ( ), P B ( Calculate the relative spectral power distribution P of the synthesized light spectrum from the controlled light source 100. 合 ( =K1P A ( )+ K2P B ( ), to find the relative spectral power distribution P 合 ( The range of chromaticity differences falling into the target spectrum and the K1 and K2 values within the chromaticity difference range of the 14 Munsell color samples of the target spectrum; S4. Based on the found K1 and K2 values, control the first display index LED chip group 110 and the second display index LED chip group 120 to emit light respectively.
[0027] The light source color rendering index (CRI) adjustment method applied to stage lighting provides a controlled light source 100 including a first CRI LED chip group 110 with a first CRI and a second CRI LED chip group 120 with a second CRI, and adjusts the target spectrum P of the reference light source at the target CRI and target color temperature. 目 ( ( ), defining the chromaticity difference range of the target spectrum and the chromaticity difference range of the 14 Munsell color samples of the target spectrum, adjusting the light intensity control parameter K1 of the first color index LED chip group 110 and the light intensity control parameter K2 of the second color index LED chip group 120, and calculating the relative spectral power distribution P of the synthesized light spectrum of the controlled light source 100. 合 ( =K1P A ( )+ K2P B ( ), to find the relative spectral power distribution P 合 ( The K1 and K2 values fall within the target spectral chromaticity difference range and the color difference range of the 14 Munsell color samples in the target spectrum. The K1 and K2 values are selected as needed, thereby enabling the adjustment of the color rendering index of the controlled light source 100.
[0028] Preferably, in step S2, based on the input target color index and target color temperature, the normalized relative spectral power distribution P of the reference light source can be obtained by looking up a table. 目 ( For example, the D65 standard light source (color temperature 6500K, wavelength 380nm-780nm), given its color rendering index and color temperature, can easily have its normalized relative spectral power distribution found in the relevant specifications of the D65 standard light source or online.
[0029] Preferably, the first color rendering index is 65, the second color rendering index is 95, and the target color rendering index is a value between 65 and 95.
[0030] like Figure 1 Preferably, the first LED chip group 110 and the second LED chip group 120 are arranged in multiple rows, and the rows are staggered to facilitate light mixing and control, as well as wiring.
[0031] like Figure 2Preferably, the light-emitting chips in the first CRI LED chip group 110 and the light-emitting chips in the second CRI LED chip group 120 are spaced apart, so that the light emitted by the first CRI LED chip group 110 and the second CRI LED chip group 120 can be mixed more evenly, thereby improving the uniformity of the light beam.
[0032] In other embodiments, one of each of the first LED chip group 110, the second LED chip group 120, and the third LED chip group can be used together to form a point light source (not shown).
[0033] Preferably, the brightness of the first CRI LED chip group 110 and / or the second CRI LED chip group 120 is controlled as a whole, that is, the brightness of the first CRI LED chip group 110 and / or the second CRI LED chip group 120 is increased or decreased as a whole, rather than controlling the brightness of a few individual LEDs or groups in the first CRI LED chip group 110 and / or the second CRI LED chip group 120 individually.
[0034] Preferably, the light wavelength range emitted by the first CRI LED chip group 110 and the second CRI LED chip group 120 is 380nm-780nm, which is the range of visible light to the naked eye.
[0035] Preferably, it may also include a third color index LED chip group with a different color index than the first color index LED chip group 110 and the second color index LED chip group 120. The first color index LED chip group 110, the second color index LED chip group 120 and the third color index LED chip group can be used to mix the target color index, and there can be more combinations.
[0036] In a preferred embodiment of the present invention, the first color rendering index (CRI) LED chip group 110 and the second CRI LED chip group 120 have the same color temperature, and the target color temperature is the color temperature of the first CRI LED chip group 110 and the second CRI LED chip group 120. This eliminates the need to consider color temperature during CRI adjustment, facilitating the calculation of the K1 and K2 values required for the first CRI LED chip group 110 and the second CRI LED chip group 120 to achieve the target CRI.
[0037] Preferably, this application adopts this scheme, with a common color temperature of 6500±500K, and selects a standard illuminator D as a reference light source.
[0038] In a preferred embodiment of the present invention, when the color temperature of the controlled light source 100 is greater than 5000K, a standard illuminator D is selected as the reference light source; when the color temperature is less than 5000K, a blackbody radiation source is selected as the reference light source. This allows for a higher similarity between the reference light source and the controlled light source 100, enabling better simulation calculations of the controlled light source 100 based on the reference light source.
[0039] In a preferred embodiment of the present invention, both the first CRI LED chip group 110 and the second CRI LED chip group 120 are white light chips. That is, both the first CRI LED chip group 110 and the second CRI LED chip group 120 emit white light, resulting in higher luminous efficiency.
[0040] In a preferred embodiment of the present invention, in step S3, after finding the first group that makes P 合 ( After normalizing the K1 and K2 values to be close to the target spectrum, the K1 and K2 values are modified within a certain range, and the relative spectral power distribution P of the synthesized light spectrum is calculated based on the modified K1 and K2 values. 合 ( Then normalize it and look for other ways to make P 合 ( Normalize the K1 and K2 values that are close to the target spectrum. Since the K1 and K2 values that meet the conditions are generally clustered in a certain region, after finding the first set of K1 and K2 values that meet the conditions, search for other K1 and K2 values that meet the conditions in the vicinity of that value. This can achieve the goal of quickly finding all K1 and K2 values that meet the conditions, saving time and computing power.
[0041] In a preferred embodiment of the present invention, the first set of P is found using interpolation. 合 ( Normalize the K1 and K2 values to be close to the target spectrum. Interpolation is a common practice for fast solutions, which can quickly find the K1 and K2 values, saving time and computing power.
[0042] Preferably, in this embodiment, the adjustment unit of the interpolation method is 0.1.
[0043] In a preferred embodiment of the present invention, when modifying the values of K1 and K2 within a certain range, interpolation is also used, and the magnitude of the interpolation value is one order of magnitude lower than that of the interpolation value when searching for the first set of K1 and K2 values. This improves the calculation speed and makes the search process for K1 and K2 as accurate as possible.
[0044] Preferably, in this embodiment, the adjustment unit of the interpolation method is 0.01.
[0045] In a preferred embodiment of the present invention, when K A =1 and K BWhen K = 1, within a certain range, it refers to K1-0.1 to K1+0.1 and K2-0.1 to K2+0.1. A =1 and K B When K1 = 1, the K1 and K2 values that meet the conditions are generally distributed within a range of 0.1. Therefore, after finding the first set of K1 and K2 values, by fluctuating the corresponding values of K1 and K2 by 0.1, almost all K1 and K2 values that meet the conditions can be found.
[0046] In a preferred embodiment of the present invention, in step S3, multiple sets of K1 and K2 values that meet the conditions are found, and the relative magnitudes of the power and brightness of the synthesized light at this time are calculated. In step S4, a set of K1 and K2 values are selected according to the power or brightness requirements to control the first CRI LED chip group 110 and the second CRI LED chip group 120 to emit light respectively. Thus, within a certain power or brightness range, light with a target CRI emitted by the controlled light source 100 at a specified power or brightness can be achieved.
[0047] In a preferred embodiment of the present invention, in step S4, based on the input synthetic optical power, K1 and K2 values corresponding to the target color rendering index (CRI) are selected from multiple sets of K1 and K2 values corresponding to the target CRI. This ensures that the synthetic optical power of the controlled light source 100 remains constant during the adjustment of the controlled light source 100 to achieve different CRIs. Alternatively, in step S4, K1 and K2 values that maximize the synthetic optical power are selected from multiple sets of K1 and K2 values corresponding to the target CRI. This ensures that the synthetic optical power reaches its maximum for each CRI corresponding to the controlled light source 100 during the adjustment of the controlled light source 100 to achieve different CRIs. Or, in step S4, K1 and K2 values that maximize the synthetic brightness are selected from multiple sets of K1 and K2 values corresponding to the target CRI. This ensures that the synthetic brightness reaches its maximum for each CRI corresponding to the controlled light source 100 during the adjustment of the controlled light source 100 to achieve different CRIs.
[0048] In a preferred embodiment of the present invention, in step S3, the chromaticity difference satisfies the color range of different color intervals corresponding to the McAdam ellipse on the CIE1976 UCS diagram. Different lamp types can choose different standards, but all need to conform to the color range of different color intervals corresponding to the McAdam ellipse, thereby filtering K1 and K2 values within a reasonable range, avoiding too many interference values, and improving the calculation speed.
[0049] Preferably, the chromaticity difference satisfies the 5th-order color range corresponding to different color intervals of the McAdam ellipse on the CIE1976 UCS diagram. This is compatible with current manufacturing technology and meets conventional lighting color difference requirements.
[0050] like Figure 4In a preferred embodiment of the present invention, in step S3, a method is used to find the relative spectral power distribution P. 合 ( The specific steps for determining the range of chromaticity differences falling within the target spectrum and the K1 and K2 values within the chromaticity difference range of the 14 Munsell color samples in the target spectrum are as follows: S31. Based on a set of K1 and K2 values corresponding to... Calculate the color coordinates of the controlled light source 100 ( , ), tristimulus value ( ) and CIE1976 UCS chromaticity coordinates ( , ), and the color coordinates of each test color i (i=1, 2, 3…, 14) of the 14 Munsell color samples of the controlled light source 100 ( , CIE tristimulation value ( ) and chromaticity coordinates ( , ),in P 合 ( ); S32. Based on the relative spectral power distribution P of the reference light source 目 ( ), calculate the chromaticity coordinates of each test color i (i=1, 2, 3…, 14) of the 14 Munsell color samples of the reference light source. , ) and CIE1976 UCS chromaticity coordinates ( , ); S33, Set the chromaticity coordinates of the controlled light source to 100 CIE 1976 UCS ( , Corrected to CIE1976UCS chromaticity coordinates of the reference illuminator. , ), that is to say The chromaticity coordinates of each test color i of the 14 Munsell color samples of the controlled light source 100 are ( , The chromaticity coordinates of each test color i in the 14 Munsell color samples of the reference light source are corrected to ( , ), as detailed below: Calculation formula based on correction factor In the formula, (u, v) are the chromaticity coordinates in the CIE1960 UCS chromaticity diagram, and c and d are the color adaptation correction coefficients derived from these coordinates. These are obtained respectively. CIE1976 UCS chromaticity coordinate correction factor for reference light source In the formula ( , ( ) is the CIE 1976 UCS chromaticity coordinate of the reference light source. CIE1976 UCS chromaticity coordinate correction factor for controlled light source 100 , In the formula ( , ( ) represents the CIE 1976 UCS chromaticity coordinates of the controlled light source 100. Chromaticity coordinate correction factors for each test color i of 14 Munsell color samples under controlled light source 100. , : In the formula ( , ) represents the chromaticity coordinates of each test color i in 14 Munsell color samples from a controlled light source 100; Based on the CIE1976 UCS chromaticity coordinate correction factor of the reference light source CIE 1976 UCS chromaticity coordinate correction factor for controlled light source 100 , And the chromaticity coordinate correction coefficients for each test color i of the 14 Munsell color samples under controlled light source 100. , Thus, the corrected chromaticity coordinates of each test color i of the 14 Munsell color samples of the controlled light source 100 are obtained. ): ; S34. Based on the chromaticity coordinates of each test color i of the 14 Munsell color samples from the reference light source ( , ) and the CIE1976 UCS chromaticity coordinates of the reference light source ( , ), calculate the coordinates of each test color i in the CIE1964 uniform color space of 14 Munsell color samples of the reference light source (). , ): ,in The coefficient of the tristimulus value Y of each test color in 14 Munsell color samples for reference light source is 1 / 3 square root of the coefficient, where 1≤Y≤100; Based on the corrected chromaticity coordinates of each test color i from the 14 Munsell color samples of the controlled light source 100 ( CIE1976 UCS corrected chromaticity coordinates of controlled light source 100 ( , ), calculate the coordinates of each test color i in the CIE1964 uniform color space of the 14 Munsell color samples of the controlled light source 100. , ,in 1 / 3 square root of the tristimulus value Y of each of the 14 Munsell color samples under controlled light source 100, where 1≤Y≤100; S35. Using the CIE 1964 color difference formula, calculate the color difference between the controlled light source 100 and the reference light source for the same Munsell color sample test color i. = Determine the color difference of each Munsell color sample test color i. If the color difference is within the range of the 14 Munsell color samples of the target spectrum, retain the K1 and K2 values for this set; otherwise, verify the K1 and K2 values for the next set. This allows us to obtain the relative spectral power distribution P of the synthesized light spectrum from the controlled light source 100. 合 ( The K1 and K2 values match the color difference range of the 14 Munsell color samples in the target spectrum.
[0051] like Figure 5 The present invention also provides a stage lamp, wherein the light source 100 within the lamp head 200 is adjusted using any of the light source color index adjustment methods described above.
[0052] A stage light typically includes a lamp head 200, a support arm 300, and a housing 400. The housing 400 supports the rotation of the support arm 300, which in turn supports the rotation of the lamp head 200. The controlled light source 100 is located within the lamp head 200. The light emitted by the controlled light source 100 passes sequentially through a focusing lens 210, a magnifying lens 220, and a fixed lens 230 before being emitted.
[0053] like Figure 6 The controlled light source 100 includes a circuit board 130 with light-emitting chips (including the first CRI LED chip group 110 and the second CRI LED chip group 120), and also includes a first light-receiving lens 140, a second light-receiving lens 150, a first light-mixing lens 160, a second light-mixing lens 170 and a light-receiving mirror 180 arranged sequentially along the light-emitting direction of the light-emitting chips.
[0054] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.
Claims
1. A method for adjusting the color rendering index (CRI) of a stage light source, characterized in that, Includes the following steps: S1. A controlled light source (100) is provided having a first color rendering index (CRI) LED chip group (110) and a second color rendering index (CRI) LED chip group (120), wherein the first CRI LED chip group (110) has a first color rendering index, the second CRI LED chip group (120) has a second color rendering index, and both the first CRI LED chip group (110) and the second CRI LED chip group (120) are composed of white LED chips. The color temperature of the first CRI LED chip group (110) and the color temperature of the second CRI LED chip group (120) are obtained, as well as the relative spectral power distribution P of the first CRI LED chip group (110) at maximum brightness. A ( The relative spectral power distribution P of the second color index LED chip group (120) B ( ), and P A ( ), P B ( Normalization, P A ( The normalization coefficient is denoted as K. A P B ( The normalization coefficient is denoted as K. B ; S2. Based on the input target color index and target color temperature, obtain the normalized relative spectral power distribution P of the reference light source. 目 ( ), which is taken as the target spectrum, and the range of chromaticity difference of the target spectrum and the range of chromaticity difference of 14 Munsell color samples of the target spectrum are defined; S3. Repeatedly adjust the light intensity control parameter K1 of the first color index LED chip group (110) and the light intensity control parameter K2 of the second color index LED chip group (120), where 0≤K1≤K A 0≤K2≤K B According to K1, K2 and P A ( ), P B ( ) Calculate the relative spectral power distribution P of the synthesized light spectrum of the controlled light source (100). 合 ( =K1P A ( )+ K2P B ( ), to find the relative spectral power distribution P 合 ( The range of chromaticity differences falling into the target spectrum and the K1 and K2 values within the chromaticity difference range of the 14 Munsell color samples of the target spectrum; S4. Based on the found K1 and K2 values, control the first LED chip group (110) and the second LED chip group (120) to emit light respectively.
2. The light source color index adjustment method for stage lights according to claim 1, characterized in that, The first CRI LED chip group (110) and the second CRI LED chip group (120) have the same color temperature, and the target color temperature is the color temperature of the first CRI LED chip group (110) and the second CRI LED chip group (120).
3. The light source color index adjustment method for stage lights according to claim 1, characterized in that, When the color temperature of the controlled light source (100) is greater than 5000K, the standard illuminator D is selected as the reference light source; when the color temperature is less than 5000K, the blackbody radiation light source is selected as the reference light source.
4. The light source color index adjustment method for stage lights according to claim 1, characterized in that, In step S3, after finding the first group that makes P 合 ( After normalizing the K1 and K2 values to be close to the target spectrum, the K1 and K2 values are modified within a certain range, and the relative spectral power distribution P of the synthesized light spectrum is calculated based on the modified K1 and K2 values. 合 ( Then normalize it and look for other ways to make P 合 ( Normalize the K1 and K2 values to be close to the target spectrum.
5. The light source color index adjustment method for stage lights according to claim 4, characterized in that, Find the first set of P using interpolation. 合 ( Normalize the K1 and K2 values to be close to the target spectrum.
6. The light source color index adjustment method for stage lights according to claim 5, characterized in that, When modifying the values of K1 and K2 within a certain range, the interpolation method is also used, and the magnitude of the interpolation value is one order of magnitude lower than the interpolation value when finding the first set of K1 and K2 values.
7. The light source color index adjustment method for stage lights according to claim 4, characterized in that, When K A =1 and K B When =1, within a certain range, it refers to K1-0.1 to K1+0.1 and K2-0.1 to K2+0.
1.
8. The light source color index adjustment method for stage lights according to claim 1, characterized in that, In step S3, multiple sets of K1 and K2 values that meet the conditions are found, and the relative magnitudes of the power and brightness of the synthesized light at this time are calculated. In step S4, a set of K1 and K2 values are selected according to the power or brightness requirements to control the first CRI LED chip group (110) and the second CRI LED chip group (120) to emit light respectively.
9. The light source color index adjustment method for stage lights according to claim 8, characterized in that, In step S4, based on the input synthesized optical power, select the K1 and K2 values corresponding to the synthesized optical power from multiple sets of K1 and K2 values corresponding to the target display index; or in step S4, select the K1 and K2 values that maximize the synthesized optical power from multiple sets of K1 and K2 values corresponding to the target display index; or in step S4, select the K1 and K2 values that maximize the synthesized optical brightness from multiple sets of K1 and K2 values corresponding to the target display index.
10. The light source color index adjustment method for stage lights according to claim 1, characterized in that, In step S3, the chromaticity difference satisfies the color range of different color intervals corresponding to the McAdam ellipse on the CIE1976 UCS diagram.
11. The light source color index adjustment method for stage lights according to claim 1, characterized in that, In step S3, we search for the relative spectral power distribution P. 合 ( The specific steps for determining the range of chromaticity differences falling within the target spectrum and the K1 and K2 values within the chromaticity difference range of the 14 Munsell color samples in the target spectrum are as follows: S31. Based on a set of K1 and K2 values corresponding to... Calculate the color coordinates of the controlled light source (100). , ), tristimulus value ( ) and CIE1976 UCS chromaticity coordinates ( , ), and the color coordinates of each test color i (i=1, 2, 3…, 14) of 14 Munsell color samples from a controlled light source (100). , CIE tristimulation value ( ) and chromaticity coordinates ( , ),in P 合 ( ); S32. Based on the relative spectral power distribution P of the reference light source 目 ( ), calculate the chromaticity coordinates of each test color i (i=1, 2, 3…, 14) of the 14 Munsell color samples of the reference light source. , ) and CIE1976 UCS chromaticity coordinates ( , ); S33, Set the controlled light source (100) to CIE1976 UCS chromaticity coordinates ( , Corrected to CIE1976 UCS chromaticity coordinates of the reference illuminator. , ), that is to say The chromaticity coordinates of each test color i of the 14 Munsell color samples from the controlled light source (100) are ( , The chromaticity coordinates of each test color i in the 14 Munsell color samples of the reference light source are corrected to ( , ), as detailed below: Calculation formula based on correction factor In the formula, (u, v) are the chromaticity coordinates in the CIE 1960UCS chromaticity diagram, and c and d are the color adaptation correction coefficients derived from these coordinates. These are obtained respectively. CIE1976 UCS chromaticity coordinate correction factor for reference light source In the formula ( , ( ) is the CIE 1976 UCS chromaticity coordinate of the reference light source. CIE1976 UCS chromaticity coordinate correction factor for controlled light source (100) , In the formula ( , () represents the CIE1976UCS chromaticity coordinates of the controlled light source (100). Chromaticity coordinate correction factors for each test color i of 14 Munsell color samples from a controlled light source (100) , : In the formula ( , ) are the chromaticity coordinates of each test color i of 14 Munsell color samples from the controlled light source (100); Based on the CIE1976 UCS chromaticity coordinate correction factor of the reference light source CIE1976 UCS chromaticity coordinate correction factor for controlled light source (100) , And the chromaticity coordinate correction factors for each test color i of the 14 Munsell color samples from the controlled light source (100). , Thus, the corrected chromaticity coordinates of each test color i of the 14 Munsell color samples of the controlled light source (100) are obtained. ): ; S34. Based on the chromaticity coordinates of each test color i of the 14 Munsell color samples from the reference light source ( , ) and the CIE1976 UCS chromaticity coordinates of the reference light source ( , ), calculate the coordinates of each test color i in the CIE1964 uniform color space of 14 Munsell color samples of the reference light source (). , ): ,in The coefficient of the tristimulus value Y of each test color in 14 Munsell color samples for reference light source is 1 / 3 square root of the coefficient, where 1≤Y≤100; Based on the corrected chromaticity coordinates of each test color i in 14 Munsell color samples from the controlled light source (100) CIE1976 UCS corrected chromaticity coordinates of the controlled light source (100) , ), calculate the coordinates of each test color i in the CIE1964 uniform color space of the 14 Munsell color samples of the controlled light source (100). , ,in The coefficient is 1 / 3 square root of the tristimulus value Y of each test color of the 14 Munsell color samples under controlled light source (100), where 1≤Y≤100; S35. Using the CIE 1964 color difference formula, calculate the color difference between the controlled light source (100) and the reference light source for the same Munsell color sample test color i. = Determine the color difference of each Munsell color sample test color i. If the color difference is within the range of the 14 Munsell color samples of the target spectrum, retain the K1 and K2 values of this group; otherwise, verify the K1 and K2 values of the next group.
12. A stage light, characterized in that, The color rendering index (CRI) of the controlled light source (100) within the lamp head (200) is adjusted using the light source CRI adjustment method for stage lights according to any one of claims 1-11.
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Method for synthesizing standard light source through LED light mixing
CN108954041A