A method for optimizing design of a non-uniform medium downlighting system

Abstract

The present application belongs to the technical field of lighting system optimization design, and particularly relates to a lighting system optimization design method under a non-uniform medium. The lighting system comprises a plurality of lighting units, the lighting unit comprises at least one LED unit module; the structure parameters of the LED unit module are determined based on the following modes: Stp1, a non-uniform medium space light attenuation relationship model is established; Stp2, a non-uniform medium space spectrum model is optimized; Stp3, LED light source matrix parameters are optimized; STP4, light flux output is distributed through a region division method, and the region division result is mapped to a lighting surface. The present application is mainly used for improving the lighting effect of a lighting system based on an LED matrix light source and a lens refraction under a specific non-uniform medium space, such as a low-visibility area with high humidity, underwater, a sand-dust area and the like, improving the uniformity of illuminance, improving the visibility of a lighting surface, and being more adaptable and more efficient than a traditional scheme.

Description

Technical Field

[0001] This invention belongs to the field of lighting system optimization design technology, and particularly relates to a lighting system optimization design method under non-uniform media. Background Technology

[0002] With low power consumption and long lifespan, this light source is gradually replacing traditional light bulbs and becoming the mainstream lighting solution. It can achieve good uniform lighting effects through optimized design of light sources and lenses, obtaining good lighting results in various indoor and outdoor scenarios. However, relatively speaking, The light intensity of the light source is more dispersed, and the light penetration is generally weaker. When the humidity or other impurities in the surrounding air are high, it can cause non-uniform changes in the medium through which the light propagates, directly affecting... The illumination effect of the light source can cause problems such as blurred images and ghosting. There are two common methods to address this issue. One is to enhance the local illumination by strengthening the local light output, but this approach essentially abandons the traditional method. The planar output of the light source reduces the uniformity of light output. Summary of the Invention

[0003] The purpose of this invention is to provide an optimized design method for lighting systems in non-uniform media that can be applied to various situations of poor spatial lighting effects due to uneven visibility and non-uniform media, based on practical needs.

[0004] To achieve the above objectives, the present invention adopts the following technical solution.

[0005] A method for optimizing the design of a lighting system under non-uniform media, wherein the lighting system includes a plurality of lighting units, and the lighting unit includes at least one Unit module; the The structural parameters of the unit module are determined based on the following method:

[0006] Stp1, Establish a spatial light attenuation relationship model in a non-uniform medium.

[0007] Taking the light source installation position as the origin With the main direction of the light source as Axis, with The axis is established with the normal direction. Establish the light source coordinate system in the coordinate plane Determine the average lighting distance for the plan. ;along Axial direction will coordinate plane translation Establish the coordinate system of the illumination surface after the distance. Based on the aforementioned coordinate system, establish the coordinate system of any point within the illumination surface. Non-uniform medium spatial light attenuation model:

[0008]

[0009]

[0010] in Refers to the lighting surface The average illuminance received, f(e), is the light propagation attenuation coefficient in a non-uniform medium. 1 refers to the average light absorption coefficient within the aforementioned non-uniform medium space. 2 refers to the average light scattering coefficient within the aforementioned non-uniform medium space; It is the horizontal distance between the observation point and the light source. It is the design of the vertical distance between the observation point and the light source; It is the angle between the straight line OA connecting the light source and point A and the optical axis. Is the line OA on the coordinate plane? The projection and The included angle of the axis;

[0011] Stp2, Optimization of Spectral Model in Non-homogeneous Medium Space

[0012] Through experimental testing, the attenuation degree of different colors of light in space was obtained, and a Gaussian function was established based on an approximation method. Spectral distribution model of light source ;

[0013] in It is the wavelength of light. It is the standard deviation of the spectrum; for a Gaussian curve, it is the half wavelength of the spectral line. Place Substituting into the above equation, we get... ;

[0014] The simplified calculation of the LED light source composite spectrum is expressed as follows: ;

[0015] Considering the light attenuation in the aforementioned non-uniform medium space, the final spectral curve is obtained after substituting the values. ;in These refer to the designations for different light waves. , This refers to the peak wavelength. It is the total number of light waves that make up the light source;

[0016] After obtaining the final spectral curve, the parameters of the non-uniform medium region are substituted, the wavelength distribution of the light source is modified, and the final hyperspectral curve expression result is optimized. The final spectral distribution form is determined after optimization with the optimal visibility or color fidelity of the illuminated surface as the optimization objective, and this form is used as... Optimization results of light source wavelength distribution design;

[0017] Stp3, Optimization of light source matrix parameters

[0018] Assuming the point spacing between the two array directions of the light source and For any light source, its light pattern is mainly influenced by the eight directly adjacent light sources in its surrounding directions. Therefore, by connecting these eight adjacent light sources with the central light source as the midpoint to form a grid-shaped light source array, and utilizing the middle length and width of this grid-shaped light source array... and Illuminance parameters of the central rectangular area As an analytical indicator of the central light source; among which The maximum illuminance of the central rectangular canal; where The minimum illuminance of the central rectangular canal; any point within the aforementioned central rectangular area. The illuminance is the sum of the illuminance of each light source at that point, i.e. ;in This refers to the light source serial number. It refers to the first Each light source Illuminance value at a point;

[0019] The illuminance distribution of all light sources is optimized, and the optimal dot spacing is selected. and Combining these methods effectively simplifies the lens design calculation process, reduces computational load, and improves the uniformity of illumination in the design results.

[0020] STP4, determined based on the aforementioned steps After determining the light source combination, the area of ​​the light source, the illumination surface, and the distance are considered. After the light source is determined through testing. The light intensity distribution of the light source is calculated to obtain the total luminous flux. The luminous flux output is distributed through a region division method, and the region division results are mapped to the illumination surface.

[0021] In a further improvement or optimization of the aforementioned method for optimizing the design of lighting systems under non-uniform media, step 3 further includes utilizing a normal distribution function. The curve characteristics make the radius of each light source directly opposite the point of contact with the point of contact the largest. The central area receives more illuminance, preventing illuminance dispersion, while ensuring that the surrounding eight light sources possess the corresponding attributes, thus establishing an optimization target model:

[0022]

[0023] Based on the aforementioned optimization objective model, and considering that the illuminance distribution conforms to a normal distribution... After determining the lens type in the planning and design, the optimal point spacing is selected for the light source. and Combining these methods effectively simplifies the lens design calculation process, reduces computational load, and improves the uniformity of illumination in the design results.

[0024] Further improvements or optimizations to the aforementioned method for optimizing the design of lighting systems under non-uniform media include step stp4, which specifically includes: establishing a rectangular coordinate system centered on the light source; dividing a hemispherical surface centered on the light source according to solid angles and mapping it onto the lighting plane; and performing optimization design based on the constraint that the luminous flux incident on the divided area is consistent with the luminous flux irradiated on the corresponding area of ​​the lighting plane, and that the luminous flux is equal to the product of the average illuminance and the lighting area.

[0025] Its beneficial effects are as follows:

[0026] The proposed method for optimizing lighting systems in non-uniform media is mainly used to improve the lighting effect of lighting systems based on LED matrix light sources and lens refraction in specific non-uniform media spaces, such as high-humidity and low-visibility areas, underwater areas, and dusty areas. It enhances the uniformity of illuminance and improves the visibility of the illuminated surface, and is more adaptable and efficient than traditional solutions. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating the optimization design of a lighting system under non-uniform media. Detailed Implementation

[0028] The present invention will be described in detail below with reference to specific embodiments.

[0029] This application relates to an optimization design method for a lighting system under non-uniform media, wherein the lighting system includes a plurality of lighting units, and each lighting unit includes at least one... Unit module; the The structural parameters of the unit module are determined based on the following method:

[0030] Stp1, Establish a spatial light attenuation relationship model in a non-uniform medium.

[0031] Specifically: taking the light source installation location as the origin. With the main direction of the light source as Axis, with The axis is established with the normal direction. Establish the light source coordinate system in the coordinate plane Determine the average lighting distance for the plan. ;along Axial direction will coordinate plane translation A coordinate system for the illumination surface can be established after the distance is determined. Based on the aforementioned coordinate system, establish the coordinate system of any point within the illumination surface. Non-uniform medium spatial light attenuation model:

[0032]

[0033]

[0034] in Refers to the lighting surface The acceptable average illuminance, f(e), is the light propagation attenuation coefficient in a non-uniform medium. 1 refers to the average light absorption coefficient within the aforementioned non-uniform medium space. 2 refers to the average light scattering coefficient within the aforementioned non-uniform medium space; It is the horizontal distance between the observation point and the light source. It is the design of the vertical distance between the observation point and the light source;

[0035] Stp2, Optimization of Spectral Model in Non-homogeneous Medium Space

[0036] Light of various colors attenuates after reflection or refraction through moisture or other impurities in the air, leading to color distortion. This is exacerbated in non-uniform media. Ideally, we want the light source to emit pure white light to ensure that the reflected light from the illuminated surface accurately reflects its actual color. However, since white light is a mixture of various colors, different colors experience varying degrees of attenuation and distortion in the aforementioned non-uniform media, ultimately resulting in incorrect color light received by the illuminated surface and affecting the lighting effect. Therefore, in practical implementation, to further improve the lighting effect, experiments should be conducted in the aforementioned non-uniform space to obtain the attenuation degree of different colors of light. Based on the test results, the wavelength distribution of the light source should be controlled accordingly, and light waves with high attenuation should be reinforced to ensure that the light ultimately illuminating the surface has a better display effect. For areas with high humidity, priority should be given to enhancing the intensity of red and purple light while suppressing the intensity of blue and green light. The specific color scheme design steps for specific situations are as follows:

[0037] based on The spectral distribution characteristics of the light source basically satisfy a Gaussian distribution; therefore, an approximate method is used to establish the Gaussian function. Spectral distribution model of light source ;

[0038] in It is the wavelength of light. It is the standard deviation of the spectrum; for a Gaussian curve, it is the half wavelength of the spectral line. Place Substituting into the above equation, we get... ;

[0039] The simplified calculation of the LED light source composite spectrum can be expressed as follows: ;

[0040] Furthermore, considering the light attenuation within the aforementioned non-uniform medium, the final spectral curve is obtained after substituting the values. ;in These refer to the designations for different light waves. , This refers to the peak wavelength. It is the total number of light waves that make up the light source;

[0041] After obtaining the final spectral curve, the parameters of the non-uniform medium region are substituted, the wavelength distribution of the light source is modified, and the final hyperspectral curve expression result is optimized. The final spectral distribution form is determined after optimization with the optimal visibility or color fidelity of the illuminated surface as the optimization objective, and this form is used as... Results of light source wavelength distribution design optimization;

[0042] Stp3, Optimization of light source matrix parameters

[0043] After the aforementioned steps, due to The point light source produced cannot guarantee uniform illuminance across the entire illuminated surface, therefore it generally needs to be paired with multiple point light sources. The light source forms a light source array and uses lenses to control the light path, ensuring that it projects along a designed direction and density. To guarantee that the illuminated surface receives more uniform illumination after the light from the light source array is projected, the structure of the lenses needs to be designed and optimized. Specifically:

[0044] Assuming the point spacing in the two array directions of the light source and For any light source, its light pattern can be considered to be mainly influenced by the eight directly adjacent light sources in its surrounding directions. Therefore, by connecting these eight adjacent light sources with the central light source as the midpoint to form a grid-shaped light source array, the length and width of the middle section of this grid-shaped light source array can be used as a reference. and Illuminance parameters of the central rectangular area As an analytical indicator of the central light source; among which The maximum illuminance of the central rectangular canal; where The minimum illuminance for the central rectangular canal;

[0045] Any point in the aforementioned central rectangular area The illuminance is the sum of the illuminance of each light source at that point, i.e. ;in This refers to the light source serial number. It refers to the first Each light source Illuminance value at a point;

[0046] Because multiple light sources are superimposed, even if all light sources possess uniform illuminance characteristics, it is impossible to guarantee uniform illuminance across all areas of the illuminated surface. In the corresponding lens design optimization process, to simplify the design process and improve efficiency, the illuminance distribution of all light sources is first optimized to avoid the problems of difficult-to-control multiple variables and large optimization computational load. Based on empirical analysis, this application achieves a uniform illuminance distribution effect on the illuminated sea surface by using a normal distribution-based illuminance distribution. Specifically: using the normal distribution function... The curve characteristics make the radius of each light source directly opposite the point of contact with the point of contact the largest. The central area receives more illuminance, preventing illuminance dispersion, while ensuring that the surrounding eight light sources possess the corresponding attributes, thus establishing an optimization target model:

[0047]

[0048] Based on the aforementioned optimization objective model, and considering that the illuminance distribution conforms to a normal distribution... After determining the lens type in the planning and design, the optimal point spacing is selected for the light source. and Combining these methods can effectively simplify the lens design calculation process, reduce the amount of calculation, and improve the uniformity of illumination in the design results.

[0049] Stp4, determined based on the aforementioned steps After determining the light source combination, the area of ​​the light source, the illumination surface, and the distance are considered. After the light source is determined through testing. The luminous intensity distribution of the light source is used to calculate the total luminous flux. The luminous flux output is then distributed using a region partitioning method, and the region partitioning results are mapped to the illuminated surface. Specifically:

[0050] A Cartesian coordinate system is established with the light source as the center. The hemispherical surface centered on the light source is divided according to solid angles and mapped onto the illumination plane. Optimization is performed based on the constraint that the luminous flux incident on the divided areas is consistent with the luminous flux illuminating the corresponding areas of the illumination plane, and that the luminous flux equals the product of the average illuminance and the illumination area. In practice, existing freeform surface design methods can be referenced, and the surface profile can be optimized using methods such as the tangent iteration method.

[0051] This application constructs an attenuation factor model based on the characteristics of non-uniform medium space, and analyzes it in conjunction with light propagation factors. On the basis of fully considering the characteristics of light propagation in non-uniform medium space, a light transmission model is established, providing parameter design and optimization schemes for the design of lighting systems in specific environments.

[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A method for optimizing the design of a lighting system under non-uniform media, characterized in that, The lighting system includes several lighting units, and each lighting unit includes at least one... Unit module; the The structural parameters of the unit module are determined based on the following method: Stp1, Establish a spatial light attenuation relationship model in a non-uniform medium. Taking the light source installation position as the origin With the main direction of the light source as Axis, with The axis is established with the normal direction. Establish the light source coordinate system in the coordinate plane ; Determine the average lighting distance for the plan ;along Axial direction will coordinate plane translation Establish the coordinate system of the illumination surface after the distance. Based on the aforementioned coordinate system, establish the coordinate system of any point within the illumination surface. Non-uniform medium spatial light attenuation model: in Refers to the lighting surface The average illuminance received, f(e), is the light propagation attenuation coefficient in a non-uniform medium. 1 refers to the average light absorption coefficient within the aforementioned non-uniform medium space. 2 refers to the average light scattering coefficient within the aforementioned non-uniform medium space; It is the horizontal distance between the observation point and the light source. It is the design of the vertical distance between the observation point and the light source; It is the angle between the straight line OA connecting the light source and point A and the optical axis. Is the line OA on the coordinate plane? The projection and The included angle of the axis; Is the line OA on the coordinate plane? The projection and The included angle of the axis; Stp2, Optimization of Spectral Model in Non-homogeneous Medium Space Through experimental testing, the attenuation degree of different colors of light in space was obtained, and a Gaussian function was established based on an approximation method. Spectral distribution model of light source ; in It is the wavelength of light. It is the standard deviation of the spectrum; for a Gaussian curve, it is the half wavelength of the spectral line. Place Substituting into the above equation, we get... ; The simplified calculation of the LED light source composite spectrum is expressed as follows: ; Considering the light attenuation in the aforementioned non-uniform medium space, the final spectral curve is obtained after substituting the values. ;in These refer to the designations for different light waves. , This refers to the peak wavelength. It is the total number of light waves that make up the light source; After obtaining the final spectral curve, the parameters of the non-uniform medium region are substituted, the wavelength distribution of the light source is modified, and the final hyperspectral curve expression result is optimized. The final spectral distribution form is determined after optimization with the optimal visibility or color fidelity of the illuminated surface as the optimization objective, and this form is used as... Results of light source wavelength distribution design optimization; Stp3, Optimization of light source matrix parameters Assuming the point spacing between the two array directions of the light source and For any light source, its light pattern is mainly influenced by the eight directly adjacent light sources in its surrounding directions. Therefore, by connecting these eight adjacent light sources with the central light source as the midpoint to form a grid-shaped light source array, and utilizing the middle length and width of this grid-shaped light source array... and Illuminance parameters of the central rectangular area As an analytical indicator of the light source located at the center; among which The maximum illuminance of the central rectangular canal; where The minimum illuminance of the central rectangular area; any point within the aforementioned central rectangular area. The illuminance is the sum of the illuminance of each light source at that point, i.e. ;in This refers to the light source serial number. It refers to the first Each light source Illuminance value at a point; The illuminance distribution of all light sources is optimized, and the optimal dot spacing is selected. and Combining these methods effectively simplifies the lens design calculation process, reduces computational load, and improves the uniformity of illumination in the design results. Stp4, determined based on the aforementioned steps After determining the light source combination, the area of ​​the light source, the illumination surface, and the distance are considered. After the light source is determined through testing. The light intensity distribution of the light source is calculated to obtain the total luminous flux. The luminous flux output is distributed through a region division method, and the region division results are mapped to the illumination surface.

2. The method for optimizing the design of a lighting system under non-uniform media according to claim 1, characterized in that, Step 3 further includes using the normal distribution function. The curve characteristics make the radius of each light source directly opposite the point of contact with the point of contact the largest. The central area receives more illuminance, preventing illuminance dispersion, while ensuring that the surrounding eight light sources possess the corresponding attributes, thus establishing an optimization target model: Based on the aforementioned optimization objective model, and considering that the illuminance distribution conforms to a normal distribution... After determining the lens type in the planning and design, the optimal point spacing is selected for the light source. and Combining these methods effectively simplifies the lens design calculation process, reduces computational load, and improves the uniformity of illumination in the design results.

3. The method for optimizing the design of a lighting system under non-uniform media according to claim 1, characterized in that, The specific steps of Stp4 include: establishing a rectangular coordinate system with the light source as the center; dividing the hemisphere with the light source as the center according to the solid angle; mapping the divided hemisphere onto the illumination plane; and performing optimization design based on the constraint that the luminous flux incident on the divided area is consistent with the luminous flux irradiated on the corresponding area of ​​the illumination plane, and that the luminous flux is equal to the product of the average illuminance and the illumination area.

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