Method for establishing a healthy light spectrum model comprising yellow-green light

Abstract

The application discloses a kind of establishment methods of health spectrum model including yellow-green light. Among them, the method includes: providing a light spectrum, the original proportion of band including yellow-green band in the light spectrum is counted;Through multiple fitting equation, the original proportion of band including yellow-green band is respectively established, the correlation equation of ciliary muscle accommodation force change when the light spectrum radiates human eye, and the correlation equation of melatonin content change when the light spectrum radiates human eye;Establishment constraint condition, through traversal method, the band proportion range that is simultaneously ensured ciliary muscle accommodation force change ΔACC value minimum and melatonin content change ΔC value maximum when human eye is selected in two correlation equations, obtain the band proportion range suitable for health;The proportion of corresponding band in light spectrum is adjusted by the obtained band proportion range.The application can improve the operability of the development of health spectrum, improve the health status of user, thereby improve the quality of life of user.The application can be used in any field related to lighting, display, medical rehabilitation, and has very high practicability.

Description

Technical Field

[0001] This invention relates to the field of lighting technology, and in particular to a method for establishing a healthy spectral model including yellow-green light. Background Technology

[0002] With changing work and lifestyles, people are spending more time indoors, making the indoor environment increasingly important for human health. Among the many environmental factors indoors, lighting is one that cannot be ignored. Lighting not only affects visual perception (visual acuity, spatial vision, etc.) but also exhibits significant non-visual effects (affecting circadian rhythms and psychological state). Inappropriate lighting can severely impact visual comfort and also affect visual function and circadian rhythms. Therefore, researching the impact of light sources on human visual and non-visual health is crucial.

[0003] Currently, the mainstream lighting source is LED light source. This type of light source typically uses a blue light chip to excite yellow phosphor to produce the final light environment. The parameters describing the light quality of a light source mainly include illuminance, uniformity, brightness, color temperature, color rendering index, glare, and spectral power distribution (SPD).

[0004] Currently, there are relatively mature standard systems regulating various indicators of indoor lighting, including parameters such as illuminance, uniformity, brightness, color temperature, color rendering index, and glare suitable for visual tasks such as reading and writing. However, no standard has specified the characteristics of light sources with focused lighting devices (SPDs), which is related to the complexity of the spectrum. Therefore, there is limited research on which wavelengths affect eye health and how to adjust the proportion of these wavelengths in the spectrum to achieve eye health. Summary of the Invention

[0005] In view of this, the purpose of this invention is to propose a method for establishing a health spectrum model including yellow-green light, which can improve the operability of health spectrum research and development, improve users' health status, and thus improve users' quality of life. This invention can be used in any field related to lighting, display, and medical rehabilitation, and has extremely high practicality.

[0006] According to one aspect of the present invention, a method for establishing a health spectrum model including yellow-green light is provided, comprising: Provide a emission spectrum and statistically analyze the original proportion of wavelengths, including the yellow-green light band, in the emission spectrum; the wavelengths including the yellow-green light band include: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm; By using multivariate fitting equations, we established the original proportions of the bands, including the yellow-green light band, and the correlation equations between the changes in ciliary muscle accommodation when the human eye is irradiated by the emission spectrum, and the correlation equations between the changes in melatonin content when the human eye is irradiated by the emission spectrum. Establish constraints, and through a traversal method, select the equations from the two related equations that simultaneously guarantee... Minimum sum of ACC values The range of band proportions with the highest C value is the range of band proportions suitable for health. Adjust the proportion of the corresponding band in the emission spectrum by adjusting the obtained band proportion range.

[0007] In the aforementioned technical solution, the inventors discovered that the spectrum of a light source can be mainly divided into three bands: blue light, yellow-green light, and red light. Regarding blue light, short-wavelength blue light (below 445nm) can cause retinal damage under prolonged high-intensity illumination, and blue light near 460nm strongly inhibits melatonin secretion. Red light has a relatively long wavelength within the visible light range, possesses thermal effects and penetrability, and is often used in specialized fields such as medical treatment or thermal insulation. Compared to blue and red light, researchers have less understanding of yellow-green light. The spectrum formed by different combinations of bands will exhibit complex spectral SPDs due to the varying proportions of each band. The effects of the spectrum on visual and non-visual health will differ depending on the proportions of different bands. Which bands affect health, and how changes in their proportions affect health, are questions that have not yet been clarified. The starting point of this invention is that within the visible light band, some bands have a positive impact on health, while others have a negative impact; however, previous studies have not investigated how to distinguish between positive and negative bands. To address this issue, this invention studied various sample spectra, some of which were conventional spectra, while others were spectra rich in yellow-green light (535-580 nm). During the study, it was discovered that other wavelength bands also had significant effects. Furthermore, the inventors found that the red light band (605-635 nm) promotes melatonin secretion, and the red light band itself has a very significant impact on health. Through multiple studies, the inventors found that the seven proposed wavelength bands themselves have significant health effects. In our previous cell experiments, irradiating isolated cells with these wavelength bands individually revealed that irradiation with these bands alone also plays an important role. Therefore, a method for establishing a health spectrum model based on the aforementioned six wavelength bands is proposed.

[0008] In some embodiments, the change in ciliary muscle accommodation is the degree of change in visual function of the human eye after 45 minutes of exposure to the luminescent spectrum:

[0009] In the formula, This refers to the degree of change in the ciliary muscle's accommodative power; The initial ciliary muscle accommodation force of the human eye in front of the light emission spectrum radiation; The ciliary muscle accommodation of the human eye 45 minutes after being irradiated with the aforementioned luminescent spectrum; The change in melatonin levels refers to the degree of physiological rhythm change at 19:00 and 23:00 on the same evening 60 minutes after the human eye is irradiated with the emission spectrum:

[0010] In the formula, For changes in melatonin levels, The melatonin content at 19:00 on the same evening 60 minutes after the aforementioned luminescent spectrum irradiates the human eye. The melatonin content at 23:00 on the night of the 60-minute period following irradiation of the human eye with the luminescent spectrum.

[0011] In the above technical solution, the impact of the spectrum on visual health is described by the degree of change in visual function before and after using the spectrum for 45 minutes, while the impact of the spectrum on non-visual health is described by the degree of change in circadian rhythms at 19:00 and 23:00 on the same evening after using the spectrum for 60 minutes. It can be seen that... The smaller the ACC, the less the ACC decreases, indicating that the spectrum has a better impact on visual health, and therefore the spectrum is more suitable for visual health; The higher the C value, the greater the increase in melatonin levels between 7:00 PM and 11:00 PM, indicating a better impact of the spectrum on non-visual health. Therefore, the spectrum is more suitable for non-visual health. Thus, to make the spectrum suitable for both human visual and non-visual health, it is necessary to minimize... The value of ACC increases The value of C. The intervention of these two parameters can be effectively used for subsequent calculations of spectral band proportions.

[0012] In some embodiments, the constraints are as follows:

[0013] In the formula, P1, P2, P3, ..., P n This indicates the proportion of wavelengths in the spectrum that include the yellow-green light band; This refers to the degree of change in the ciliary muscle's accommodative power; This refers to changes in melatonin levels.

[0014] In the above technical solution, P is set. i The size and range of values ​​are for simplifying subsequent calculations. Furthermore, as mentioned above, in order to make the spectrum suitable for human visual and non-visual health, it should be minimized as much as possible. The value of ACC increases The value of C. Therefore, corresponding constraints are also added during the calculation process. Furthermore, if the only constraint is P1+P2+P3+ If +P7<1, then the traversal method does indeed have infinitely many solutions. However, the continuous values ​​in the constraints of this invention have been discretized, meaning that the values ​​of P1, P2, P3, P4, P5, P6, and P7 are all in the set (0.01, 0.02, 0.03, ..., 0.99), so the number of solutions is no longer infinitely many.

[0015] In some embodiments, the wavelength bands including the yellow-green light band include: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm.

[0016] In the above technical solution, the inventors' team previously conducted large-scale human factors experiments, studying the effects of various sample spectra on human visual and non-visual health. The 380-780nm visible light range was discretized into 401 wavelengths: 380nm, 381nm, 382nm, ..., 780nm. For each of the studied spectra, each of the 401 wavelengths has a corresponding light intensity value. These 401 light intensity values ​​are considered as 401 variables describing the spectrum. Principal factor analysis was performed on the variables of the various sample spectra to extract principal factors, and key spectral bands with a principal factor correlation exceeding 0.9 were identified, totaling seven key bands: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm. Experiments have shown that the above seven wavelengths have a significant impact on the human eye.

[0017] In some embodiments, a light-emitting element is provided, the light-emitting element having an emission spectrum including the following wavelength bands: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm. Calculate the current light intensity ratio of this spectrum and ACC The linear fitting coefficient between C and :

[0018] In the formula, ACC indicates the change in ciliary muscle accommodation before and after 45 minutes of exposure to the human eye by the luminescent spectrum. C represents the change in melatonin content at 19:00 and 23:00 on the same night after 60 minutes of exposure to the human eye by the emission spectrum; P1, P2, P3, P4, P5, P6, and P7 represent the proportions of each wavelength band in the current spectrum: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm. Establish constraints:

[0019] linear fitting coefficients and Substituting into equations (1) and (2), and using the traversal method and constraints, we solve equations (1) and (2) to select the option that simultaneously guarantees... Minimum sum of ACC values The proportion of bands with the highest C value .

[0020] The above technical solution establishes a quantitative relationship between spectral characteristics and health effects, and provides the extracted key wavelength bands. Through the above calculation steps, the emission spectra of different light-emitting components can be adaptively adjusted, so that the emission spectra emitted by light-emitting components obtained by different preparation methods after adjustment have a positive impact on the human eye. This improves the theoretical framework of health spectrum research and development, greatly enhances the operability of health spectrum research and development, improves the health status of users, and thus improves the quality of life of users.

[0021] According to another aspect of the present invention, an apparatus for establishing a health spectrum model including yellow-green light is provided, based on the above-described method for establishing a health spectrum model including yellow-green light; comprising a spectral module, a fitting module, an optimization module, and an adjustment module connected in sequence; The spectral module is used to provide a emission spectrum and to calculate the original proportion of bands, including the yellow-green light band, in the emission spectrum. Fitting module: Through multivariate fitting equations, establish the original proportion of bands including the yellow-green light band, the correlation equation between the change of ciliary muscle accommodation when the emission spectrum irradiates the human eye, and the correlation equation between the change of melatonin content when the emission spectrum irradiates the human eye; The optimization module is used to establish constraints and select the equations that simultaneously guarantee the desired outcome from two related equations using a traversal method. Minimum sum of ACC values The range of band proportions with the highest C value is the range of band proportions suitable for health. The adjustment module is used to adjust the proportion of the corresponding band in the emission spectrum based on the obtained band proportion range.

[0022] In the aforementioned technical solutions, the spectrum of the light source can be mainly divided into three bands: blue light, yellow-green light, and red light. For blue light, short-wavelength blue light (below 445nm) can cause retinal damage under long-term high-intensity illumination, and blue light near 460nm strongly inhibits melatonin secretion. Red light has a relatively long wavelength within the visible light range, possesses thermal effects and penetrability, and is often used in specialized fields such as medical treatment or thermal insulation. Compared to blue and red light, researchers have less understanding of yellow-green light. The spectrum formed by different combinations of bands will exhibit complex spectral SPDs due to the different proportions of each band. The effects of the spectrum on visual and non-visual health will vary depending on the changes in the proportions of different bands. Which bands affect health, and how changes in their proportions affect health, are questions that have not yet been clarified. The starting point of this invention is that within the visible light band, some bands have a positive impact on health, while others have a negative impact; however, previous studies have not investigated how to distinguish between positive and negative bands. To address this issue, this invention studied various sample spectra, some of which were conventional spectra, while others were spectra rich in yellow-green light (535-580 nm). During the study, it was discovered that other wavelength bands also had significant effects. Furthermore, the inventors found that the red light band (605-635 nm) promotes melatonin secretion, and the red light band itself has a very significant impact on health. Through multiple studies, the inventors found that the seven proposed wavelength bands themselves have significant health effects. In our previous cell experiments, irradiating isolated cells with these wavelength bands individually revealed that irradiation with these bands alone also plays an important role. Therefore, a method for establishing a health spectrum model based on the aforementioned six wavelength bands is proposed.

[0023] According to another aspect of the present invention, an apparatus for establishing a health spectrum model including yellow-green light is provided, comprising: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform a method for establishing a health spectrum model including yellow-green light, as described above.

[0024] In the above technical solution, to better operate and process the method, the method is stored in memory, and the processor executes the stored method. It should be noted that the principle and effect of each step have been described above and will not be elaborated upon here.

[0025] According to another aspect of the present invention, a computer-readable storage medium is provided, storing a computer program, characterized in that, when the computer program is executed by a processor, it implements the above-described method for establishing a health spectrum model including yellow-green light.

[0026] In the above technical solution, to better operate and use the method, the method is stored in a computer-readable storage medium and implemented using a processor. It should be noted that the principle and effect of each step have been described above and will not be elaborated upon here.

[0027] According to another aspect of the present invention, a health spectrum model including yellow-green light is provided, wherein the wavelength bands of the spectrum include: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm, and the light intensity proportions of each wavelength band are, in order, P1<5.5%, P2>3.5%, P3<6.0%, P4<3.7%, P5>20.0%, P6<8.5%, and P7>20.0%.

[0028] In the above technical solution, based on the aforementioned method for establishing a health spectrum model including yellow-green light, a traversal method is used to list all key band combinations that satisfy the above two conditions, and their corresponding values ​​are calculated one by one. ACC and C value, select while ensuring Minimum sum of ACC values The range of bands with the highest C value is used to determine the optimal range of band proportions for health, as shown above.

[0029] According to another aspect of the present invention, a light-emitting element is provided, the light emission spectrum of which includes the above-described healthy spectrum rich in yellow light. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a flowchart illustrating an embodiment of a method for establishing a health spectrum model including yellow-green light according to the present invention. Detailed Implementation

[0032] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the invention. Similarly, the following embodiments are only some, not all, embodiments of the present invention, and all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] This invention provides a method for establishing a health spectrum model including yellow-green light, which improves the operability of health spectrum research and development, improves users' health status, and thus enhances their quality of life. This invention can be applied to any field related to lighting, display, and medical rehabilitation, and has extremely high practicality.

[0034] The spectrum of light sources can be mainly divided into three bands: blue light, yellow light, and red light. For blue light, short-wavelength blue light (below 445nm) can cause retinal damage under prolonged high-intensity illumination, and blue light near 460nm strongly inhibits melatonin secretion. Red light has a relatively long wavelength within the visible light range, possesses thermal effects and penetrability, and is often used in medical or thermal insulation applications. Studies have shown that 605-635nm red light promotes melatonin secretion. Compared to blue and red light, researchers have less understanding of yellow-green light. The spectrum formed by different combinations of bands exhibits complex spectral dynamics (SPD) due to the varying proportions of each band. The effects of the spectrum on visual and non-visual health differ depending on the proportion of different bands. Therefore, the inventors, based on the influence of spectral bands on the human body, proposed a method for establishing a health spectrum model that includes yellow-green light.

[0035] Example 1 Please see Figure 1 A method for establishing a health spectrum model including yellow-green light includes: S1. Provide a emission spectrum and calculate the original proportion of bands, including the yellow-green light band, in the emission spectrum; the bands including the yellow-green light band include: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm; In this embodiment, the emission spectrum can be the spectrum emitted by lighting, display screen, or other light-emitting components.

[0036] S2. By using multivariate fitting equations, establish the original proportion of the bands, including the yellow-green light band, and the correlation equations between the changes in ciliary muscle accommodation when the human eye is irradiated by the emission spectrum, and the correlation equations between the changes in melatonin content when the human eye is irradiated by the emission spectrum. In this embodiment, the change in ciliary muscle accommodation is the degree of change in visual function of the human eye before and after 45 minutes of exposure to the emitted spectral radiation.

[0037] In the formula, This refers to the degree of change in the ciliary muscle's accommodative power; The initial ciliary muscle accommodation force of the human eye in front of the light emission spectrum radiation; The ciliary muscle accommodation of the human eye 45 minutes after being irradiated with the aforementioned luminescent spectrum; The change in melatonin levels refers to the degree of physiological rhythm change at 19:00 and 23:00 on the same evening 60 minutes after the human eye is irradiated with the emission spectrum:

[0038] In the formula, For changes in melatonin levels, The melatonin content at 19:00 on the same evening 60 minutes after the aforementioned luminescent spectrum irradiates the human eye. The melatonin content at 23:00 on the night of the 60-minute period following irradiation of the human eye with the luminescent spectrum.

[0039] The effects of the spectrum on visual health were described by the changes in visual function before and after 45 minutes of using the spectrum, while the effects of the spectrum on non-visual health were described by the changes in circadian rhythms at 19:00 and 23:00 that evening after 60 minutes of using the spectrum. It can be seen that... The smaller the ACC, the less the ACC decreases, indicating that the spectrum has a better impact on visual health, and therefore the spectrum is more suitable for visual health; The higher the C value, the greater the increase in melatonin levels between 7:00 PM and 11:00 PM, indicating a better impact of the spectrum on non-visual health. Therefore, the spectrum is more suitable for non-visual health. Thus, to make the spectrum suitable for both human visual and non-visual health, it is necessary to minimize... The value of ACC increases The value of C. The intervention of these two parameters can be effectively used for subsequent calculations of spectral band proportions.

[0040] S3. Establish constraints and, through a traversal method, select the equations from the two related equations that simultaneously guarantee... Minimum sum of ACC values The range of band proportions with the highest C value is the range of band proportions suitable for health. In this embodiment, the constraints are as follows:

[0041] In the formula, P1, P2, P3, ..., P nThis indicates the proportion of wavelengths in the spectrum that include the yellow-green light band; This refers to the degree of change in the ciliary muscle's accommodative power; This refers to changes in melatonin levels.

[0042] In the above technical solution, P is set. i The size and range of values ​​are for simplifying subsequent calculations. Furthermore, as mentioned above, in order to make the spectrum suitable for human visual and non-visual health, it should be minimized as much as possible. The value of ACC increases The value of C. Therefore, corresponding constraints are also added during the calculation process.

[0043] S4. Adjust the proportion of the corresponding band in the emission spectrum by using the obtained band proportion range.

[0044] In the aforementioned technical solution, the inventors discovered that the spectrum of a light source can be mainly divided into three bands: blue light, yellow-green light, and red light. Regarding blue light, short-wavelength blue light (below 445nm) can cause retinal damage under prolonged high-intensity illumination, and blue light near 460nm strongly inhibits melatonin secretion. Red light has a relatively long wavelength within the visible light range, possesses thermal effects and penetrability, and is often used in specialized fields such as medical treatment or thermal insulation. Compared to blue and red light, researchers have less understanding of yellow-green light. The spectrum formed by different combinations of bands will exhibit complex spectral SPDs due to the varying proportions of each band. The effects of the spectrum on visual and non-visual health will differ depending on the proportions of different bands. Which bands affect health, and how changes in their proportions affect health, are questions that have not yet been clarified. The starting point of this invention is that within the visible light band, some bands have a positive impact on health, while others have a negative impact; however, previous studies have not investigated how to distinguish between positive and negative bands. To address this issue, this invention studied various sample spectra, some of which were conventional spectra, while others were spectra rich in yellow-green light (535-580 nm). During the study, it was discovered that other wavelength bands also had significant effects. Furthermore, the inventors found that the red light band (605-635 nm) promotes melatonin secretion, and the red light band itself has a very significant impact on health. Through multiple studies, the inventors found that the seven proposed wavelength bands themselves have significant health effects. In our previous cell experiments, irradiating isolated cells with these wavelength bands individually revealed that irradiation with these bands alone also plays an important role. Therefore, a method for establishing a health spectrum model based on the aforementioned six wavelength bands is proposed.

[0045] In this embodiment, the preferred emission spectrum bands include 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm. The inventors' team previously conducted large-scale human factors experiments, studying the effects of various sample spectra on human visual and non-visual health. The 380-780nm visible light range was discretized into 380nm, 381nm, 382nm, ..., 780nm, totaling 401 wavelengths. For the various sample spectra studied, each spectrum has 401 wavelengths with corresponding light intensity values. These 401 light intensity values ​​are considered as 401 variables describing the spectrum. Principal factor analysis was performed on 401 variables from various sample spectra to extract principal factors. Seven key spectral bands with a correlation greater than 0.9 with the principal factors were identified: 410-450 nm, 455-460 nm, 470-485 nm, 490-505 nm, 515-575 nm, 585-605 nm, and 610-635 nm. Experiments demonstrated that these seven bands have a significant impact on the human eye.

[0046] To better explain this embodiment, specific examples will be used for illustration below: A light-emitting element is provided, the light emission spectrum of which includes the following wavelength bands: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm. The inventors measured the impact of various sample spectra on human visual and non-visual health through human factors experiments. The impact on visual health was described through changes in visual function, while the impact on non-visual health was described through changes in physiological rhythms.

[0047] Regarding changes in visual function, this invention uses changes in the ciliary muscle's accommodative force (ACC) to illustrate these changes. ACC to describe

[0048] Regarding changes in physiological rhythms, this invention uses changes in melatonin content (C) as an example. C to describe

[0049] Principal factor analysis was performed on 401 wavelength intensity variables of the studied sample spectra to extract principal factors and identify key spectral bands with a correlation greater than 0.9 with the principal factors. Finally, seven key bands were obtained: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm.

[0050] In this case, let's assume that the proportions of seven key wavelength bands in the emission spectrum of a light-emitting element are denoted as P1, P2, P3, P4, P5, P6, and P7, respectively. The proportions of these seven key wavelength bands are then compared with the measured values ​​of the light-emitting element. ACC By establishing a linear equation between C and C, the weight ratios of the seven key bands can be obtained. ACC The influence coefficient of C and Substituting the coefficients above into the following formula, we can calculate the impact of the weight of the key waveband. ACC and C value;

[0051] In the formula, ACC indicates the change in ciliary muscle accommodation before and after 45 minutes of exposure to the human eye by the emission spectrum. C represents the change in melatonin content at 19:00 and 23:00 on the same night after 60 minutes of exposure to the human eye by the emission spectrum; P1, P2, P3, P4, P5, P6, and P7 represent the proportions of each wavelength band in the current spectrum: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm. Establish constraints:

[0052] linear fitting coefficients and Substituting into equations (1) and (2), and using the traversal method and constraints, we solve equations (1) and (2) to select the option that simultaneously guarantees... Minimum sum of ACC values The proportion of bands with the highest C value List all key band combinations that satisfy the above conditions using a traversal method, and calculate their corresponding values ​​for each combination. ACC and C value, select while ensuring Minimum sum of ACC values The range of bands with the highest C value.

[0053] Example 2 An apparatus for establishing a health spectrum model including yellow-green light, based on the above-mentioned method for establishing a health spectrum model including yellow-green light; comprising a spectral module, a fitting module, an optimization module, and an adjustment module connected in sequence; The spectral module is used to provide a emission spectrum and to calculate the original proportion of bands, including the yellow-green light band, in the emission spectrum. Fitting module: Through multivariate fitting equations, establish the original proportion of bands including the yellow-green light band, the correlation equation between the change of ciliary muscle accommodation when the emission spectrum irradiates the human eye, and the correlation equation between the change of melatonin content when the emission spectrum irradiates the human eye; The optimization module is used to establish constraints and select the equations that simultaneously guarantee the desired outcome from two related equations using a traversal method. Minimum sum of ACC values The range of band proportions with the highest C value is the range of band proportions suitable for health. The adjustment module is used to adjust the proportion of the corresponding band in the emission spectrum based on the obtained band proportion range.

[0054] In the aforementioned technical solutions, the spectrum of the light source can be mainly divided into three bands: blue light, yellow-green light, and red light. For blue light, short-wavelength blue light (below 445nm) can cause retinal damage under long-term high-intensity illumination, and blue light near 460nm strongly inhibits melatonin secretion. Red light has a relatively long wavelength within the visible light range, possesses thermal effects and penetrability, and is often used in specialized fields such as medical treatment or thermal insulation. Compared to blue and red light, researchers have less understanding of yellow-green light. The spectrum formed by different combinations of bands will exhibit complex spectral SPDs due to the different proportions of each band. The effects of the spectrum on visual and non-visual health will vary depending on the changes in the proportions of different bands. Which bands affect health, and how changes in their proportions affect health, are questions that have not yet been clarified. The starting point of this invention is that within the visible light band, some bands have a positive impact on health, while others have a negative impact; however, previous studies have not investigated how to distinguish between positive and negative bands. To address this issue, this invention studied various sample spectra, some of which were conventional spectra, while others were spectra rich in yellow-green light (535-580 nm). During the research, it was discovered that other wavelength bands also had significant effects. Furthermore, the inventors found that the red light band (605-635 nm) promotes melatonin secretion, and the red light band itself has a very significant impact on health. Through multiple studies, the inventors found that the seven proposed wavelength bands themselves have a significant impact on health. In previous cell experiments, the inventors used these wavelength bands individually to irradiate isolated cells and found that these wavelengths also play an important role when irradiated alone. Therefore, a device for establishing a health spectrum model based on the aforementioned six wavelength bands is proposed. It should be noted that each module in the device corresponds one-to-one with each step in Embodiment 1; the specific principles and functions have been detailed in Embodiment 1 and will not be repeated here.

[0055] Example 3 An apparatus for establishing a health spectrum model including yellow-green light, comprising: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform a method for establishing a health spectrum model including yellow-green light, as described above.

[0056] In the above technical solution, in order to better operate and process the method described in one of the embodiments, the method is stored in a memory, and the stored method is executed by a processor. It should be noted that the principle and effect of each step have been described above and will not be elaborated further here.

[0057] Example 4 A computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for establishing a health spectrum model including yellow-green light.

[0058] In the above technical solution, to better operate and use the method, the method is stored in a computer-readable storage medium and implemented using a processor. It should be noted that the principle and effect of each step have been described above and will not be elaborated upon here.

[0059] Example 5 A healthy spectral model including yellow-green light, the spectral bands of which include: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm, and the light intensity proportions of each band are, in order: P1<5.5%, P2>3.5%, P3<6.0%, P4<3.7%, P5>20.0%, P6<8.5%, and P7>20.0%.

[0060] In the above technical solution, based on the aforementioned method for establishing a health spectrum model including yellow-green light, a traversal method is used to list all key band combinations that satisfy the above two conditions, and their corresponding values ​​are calculated one by one. ACC and C value, select while ensuring Minimum sum of ACC values The range of bands with the highest C value is used to determine the optimal range of band proportions for health, as shown above.

[0061] According to the spectral optimization scheme proposed in this invention, the spectrum of a certain lamp was optimized. Following the method in standard GB / T38120-2019 "Technical Requirements for the Application of Blue Light Protective Film in Light Health and Light Safety", a human factors experiment was conducted on a group of 20 participants to measure the visual health comfort (VICO) values ​​of the lamp before and after optimization. The VICO values ​​before and after optimization were 1.95 and 1.81, respectively, indicating a significant improvement in the light quality of the lamp. Furthermore, for participants aged 30-40, changes in melatonin secretion were measured after 3 months of using the lamp with this optimization scheme. The melatonin curve shifted to the left by approximately 2 hours compared to before use.

[0062] Example 6 A light-emitting device, the light-emitting spectrum of which includes a healthy spectrum rich in yellow light as described in Embodiment Six.

[0063] In the above technical solutions, the light-emitting device prepared based on Embodiment Six has the corresponding technical effects, which can be found in the above embodiments and will not be repeated here.

[0064] The above description is only a part of the embodiments of the present invention and does not limit the scope of protection of the present invention. Any equivalent device or equivalent process transformation made based on the content of the present invention specification and drawings, or direct or indirect application in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for establishing a health spectrum model including yellow-green light, characterized in that, The method includes the following steps: Principal factor analysis was used to screen multiple wavelength bands in the visible light spectrum that showed a correlation greater than 0.9 with human health. These multiple wavelength bands include: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, 610-635nm; Provide a emission spectrum and statistically analyze the original proportion of wavelengths, including the yellow-green light band, in the emission spectrum; the wavelengths including the yellow-green light band include: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm; By using multivariate fitting equations, we established the original proportions of the bands, including the yellow-green light band, and the correlation equations between the changes in ciliary muscle accommodation before and after 45 minutes of exposure to the human eye by the emission spectrum, and the correlation equations between the changes in melatonin content at 19:00 and 23:00 on the same evening after 60 minutes of exposure to the human eye by the emission spectrum. Constraints are established, including: the sum of the proportions of each band is less than 1, and the proportions of each band are discretely taken between 0.01 and 0.99 with a step size of 0.01; using an ergodic method, the equation that simultaneously ensures the change in ciliary muscle accommodation force in the human eye is selected from the two correlation equations. Minimum ACC value and changes in melatonin levels The band proportion range with the largest C value is obtained, which is the band proportion range that is optimized in a synergistic way to take into account both visual health and non-visual health objectives. Adjust the proportion of the corresponding band in the emission spectrum by adjusting the obtained band proportion range.

2. The method for establishing a health spectrum model including yellow-green light as described in claim 1, characterized in that, The change in ciliary muscle accommodation refers to the degree of change in visual function of the human eye after 45 minutes of exposure to the emitted spectral radiation. In the formula, This refers to the degree of change in the ciliary muscle's accommodative power; The initial ciliary muscle accommodation force of the human eye in front of the light emission spectrum radiation; The ciliary muscle accommodation of the human eye 45 minutes after being irradiated with the aforementioned luminescent spectrum; The change in melatonin levels refers to the degree of physiological rhythm change at 19:00 and 23:00 on the same evening 60 minutes after the human eye is irradiated with the emission spectrum: In the formula, For changes in melatonin levels, The melatonin content at 19:00 on the same evening 60 minutes after the aforementioned luminescent spectrum irradiates the human eye. The melatonin content at 23:00 on the night of the 60-minute period following irradiation of the human eye with the luminescent spectrum.

3. The method for establishing a health spectrum model including yellow-green light as described in claim 1, characterized in that, The constraints are as follows: In the formula, P1, P2, P3, ..., P n This indicates the proportion of wavelengths in the spectrum that include the yellow-green light band; This refers to the degree of change in the ciliary muscle's accommodative power; This refers to changes in melatonin levels.

4. A method for establishing a health spectrum model including yellow-green light as described in any one of claims 1 to 3, characterized in that, A light-emitting element is provided, the light emission spectrum of which includes the following wavelength bands: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm. Calculate the current light intensity ratio of this spectrum and ACC The linear fitting coefficient between C and : In the formula, ACC indicates the change in ciliary muscle accommodation before and after 45 minutes of exposure to the human eye by the luminescent spectrum. C represents the change in melatonin content at 19:00 and 23:00 on the same night after 60 minutes of exposure to the human eye by the emission spectrum; P1, P2, P3, P4, P5, P6, and P7 represent the proportions of each wavelength band in the current spectrum: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm. Establish constraints: linear fitting coefficients and Substituting into equations (1) and (2), and using the traversal method and constraints, we solve equations (1) and (2) to select the option that simultaneously guarantees... Minimum sum of ACC values The proportion of bands with the highest C value .

5. An apparatus for establishing a health spectrum model including yellow-green light, characterized in that, A method for establishing a health spectrum model including yellow-green light according to any one of claims 1-4; comprising a spectral module, a fitting module, an optimization module, and an adjustment module connected in sequence; Principal factor analysis was used to screen multiple wavelengths in the visible light spectrum that had a correlation with human health exceeding 0.

9. These wavelengths include: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm. The spectral module is used to provide a emission spectrum and to calculate the original proportion of bands, including the yellow-green light band, in the emission spectrum. Fitting module: Through multivariate fitting equations, establish the original proportion of bands including the yellow-green light band, the correlation equations with the changes in ciliary muscle accommodation before and after 45 minutes of radiation of the human eye by the emission spectrum, and the correlation equations with the changes in melatonin content at 19:00 and 23:00 on the same night after 60 minutes of radiation of the human eye by the emission spectrum. The optimization module is used to establish constraints, including: the sum of the proportions of each band is less than 1, and the proportions of each band are discretely taken between 0.01 and 0.99 with a step size of 0.01; an optimization module is used to select from the two correlation equations that simultaneously guarantee... Minimum sum of ACC values The band proportion range with the largest C value is obtained, which is the band proportion range that is optimized in a synergistic way to take into account both visual health and non-visual health objectives. The adjustment module is used to adjust the proportion of the corresponding band in the emission spectrum based on the obtained band proportion range.

6. A device for establishing a health spectrum model including yellow-green light, characterized in that, include: At least one processor; And, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform a method for establishing a health spectrum model including yellow-green light as described in any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements a method for establishing a health spectrum model including yellow-green light, as described in any one of claims 1 to 4.

8. A light-emitting component, characterized in that, The emission spectrum of this light-emitting device includes the following wavelengths: 410-450nm, 455-460nm, 470-485nm, 490-505nm, 515-575nm, 585-605nm, and 610-635nm. The light intensity ratios of each wavelength band are, in order: P1<5.5%, P2>3.5%, P3<6.0%, P4<3.7%, P5>20.0%, P6<8.5%, and P7>20.0%.

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