A scene-adaptive-based gold-yellow light LED powder-free low-position lighting system and method

Abstract

This invention relates to a scene-adaptive golden LED powder-free low-level lighting system and method. The method analyzes factors such as terrain features, lighting requirements, and safety requirements of different low-level lighting scenarios to adaptively select and configure the golden LED powder-free lighting source and system parameters, thereby optimizing lighting effects and improving safety and comfort. This invention employs silicon-based golden LED powder-free lighting technology, emitting low color temperature golden light without phosphors, eliminating blue light and mitigating glare at the source. Combined with a dedicated light distribution and intelligent control system, it achieves low glare, high uniformity, no blue light, no phosphor decay, high fog penetration, high color rendering, high weather resistance, and long lifespan low-level lighting, comprehensively improving traffic safety, visual comfort, and system reliability.

Description

Technical Field

[0001] This invention relates to the field of lighting technology, and in particular to a scene-adaptive golden LED powder-free low-position lighting system and method. Background Technology

[0002] Current low-level lighting solutions mostly employ blue LEDs and phosphors, which suffer from high glare, poor uniformity, phosphor aging and decay, high blue-violet light content, weak fog penetration, and low red color rendering index (R9). Conventional optimizations only address structural improvements without addressing the root cause of the light source, making it difficult to meet the safety and health lighting requirements of scenarios such as highways, tunnels, garages, and walkways. Low-level lighting is a form of lighting that is close to people, low in height, and requires continuous illumination for extended periods. It places extremely high demands on lighting safety, visual comfort, environmental weather resistance, and long-term reliability, especially in scenarios such as highway interchanges, bridge-tunnel connections, service area access roads, bridges, garages, and parks. Existing mainstream white LED solutions have already revealed significant shortcomings in practical applications, failing to meet the upgrade requirements for high-end, healthy, and safe low-level lighting, indicating substantial room for technological optimization and innovation. Traditional low-level lighting products have the following problems: Severe glare and insufficient safety: White LEDs have a high short-wavelength component, which easily produces direct glare and road surface reflection glare.

[0003] Poor uniformity and visual fatigue: Conventional light distribution designs are simple, resulting in uneven illuminance distribution on the road surface.

[0004] Phosphor aging and performance degradation: Phosphors are prone to yellowing and failure, leading to severe light decay and color temperature drift.

[0005] Harmful effects of blue light and photohealth defects: White light contains a large amount of blue and violet light components, and long-term exposure can irritate the eyes and disrupt biological rhythms.

[0006] Inadequate adaptability to severe weather: Short-wave light is easily scattered by fog, haze, and rain, resulting in poor fog penetration.

[0007] Insufficient color rendering: The red saturation color rendering index R9 is generally low, resulting in insufficient color reproduction of key traffic elements such as red warning signs.

[0008] Insufficient weather resistance and structural reliability: Long-term edge installation makes it susceptible to rain, dust, vibration and other factors.

[0009] Existing technologies often improve performance by adding light-shielding structures, optimizing lens angles, and enhancing heat dissipation capabilities, but they do not address the root cause of the problem and cannot simultaneously achieve comprehensive performance such as being toner-free, blue light-free, low glare, highly uniform, highly color rendering, and highly weather-resistant. Therefore, this invention proposes a scene-adaptive golden LED toner-free low-position lighting system and method. Summary of the Invention

[0010] This invention addresses the technical problems existing in the prior art by using silicon-based yellow LED powder-free lamp beads to eliminate blue light and phosphor attenuation at the light source level. Combined with scene-adaptive light distribution and intelligent sensor dimming, it achieves low-position lighting with no blue light, low glare, high uniformity, high fog penetration, high color rendering, and long lifespan, significantly improving traffic safety and visual comfort.

[0011] The technical solution of the present invention to solve the above-mentioned technical problems is as follows: On the one hand, a scene-adaptive, powder-free low-position illumination method for golden LEDs is provided, including the following steps: S1: Analyze low-level lighting scenarios; S2: Based on the scene analysis results, select golden yellow LED powder-free lighting source; S3: Based on scene analysis results and light source characteristics, design a dedicated light distribution scheme to optimize illuminance uniformity and reduce glare; S4: Equipped with an intelligent control system to achieve automatic dimming, status monitoring and fault protection; S5: Install the light source, optical components, and control system in the designated locations and perform debugging to ensure the system operates normally.

[0012] Furthermore, the aforementioned scene-adaptive golden LED powder-free low-position lighting method comprises a silicon-based LED chip assembly, a low-position dedicated optical assembly, a high-efficiency heat dissipation module, and a high-protection packaging structure; it uses a combination of domestically produced silicon substrate golden LED chips and red LED chips, is free of phosphors, has a color temperature of 2000±200K, a color rendering index Ra>75, R9>50, does not contain blue-violet light with a wavelength <500nm, and has a luminous efficacy ≥160lm / W.

[0013] Furthermore, in the aforementioned scene-adaptive golden LED powder-free low-position lighting method, step S3 employs an asymmetric freeform surface lens and a microstructured light-mixing mask to achieve precise control of the light beam, improve the uniformity of road surface illumination, and reduce glare.

[0014] Furthermore, in the aforementioned scene-adaptive golden LED powder-free low-position lighting method, the design of the asymmetric freeform surface lens employs an optimization-based iterative algorithm. The objective is to minimize glare and maximize road surface uniformity, with the objective function being: ; Where G is the glare value and U0 is the road surface uniformity. and These are weight values; ; in, Let be the brightness of the i-th light source. For the corresponding solid angle, Where N is the distance from the observer to the light source, and N is the number of light sources; ; in, To calculate the minimum illuminance within the area, This is used to calculate the average illuminance within the area.

[0015] Furthermore, in the aforementioned scene-adaptive golden LED powder-free low-position lighting method, in step S4, the intelligent control system includes an ambient light illuminance sensor, a human body induction sensor, and a radar sensor, to achieve intelligent dimming based on ambient light illuminance and human body induction.

[0016] Furthermore, the aforementioned scene-adaptive golden LED powder-free low-position lighting method employs a dimming algorithm based on ambient illuminance and human body sensing to achieve energy-saving and comfortable lighting. The ambient illuminance calculation formula is as follows: ; in Let represent the illuminance value of the j-th ambient light sensor, and M represent the number of sensors.

[0017] Furthermore, the aforementioned scene-adaptive, powder-free low-position illumination method for golden LEDs optimizes the target color gamut by precisely controlling the spectral power distribution of the golden and red LED chips, wherein the spectral power distribution includes: ; in It is the light source at wavelength Spectral power distribution, It is a yellow LED chip at a wavelength Spectral power distribution at [location] It is a red LED chip at a wavelength Spectral power distribution at [location] and These are the spectral weighting coefficients for yellow LED chips and red LED chips, respectively.

[0018] On the other hand, a scene-adaptive golden LED powder-free low-level lighting system is provided, applied to any of the scene-adaptive golden LED powder-free low-level lighting methods described above, the system comprising: The golden yellow LED powder-free lighting source includes silicon-based LED chip components, low-position dedicated optical components, high-efficiency heat dissipation modules, and high-protection packaging structures; it adopts a combination of domestically produced silicon substrate yellow LED chips and red LED chips, without phosphors, color temperature 2000±200K, color rendering index Ra>75, R9>50, does not contain blue-violet light with wavelength <500nm, and luminous efficacy ≥160lm / W; The driver module is used to drive the golden yellow LED powderless lighting source; The control module is used to achieve intelligent dimming and control based on scene characteristics and sensor data; The detection module is used to detect ambient light levels, the presence of human beings, and the presence of vehicles. The power module is used to provide a stable power supply for the entire system.

[0019] The beneficial effects of this invention are: Analyzing different scenarios, the system adaptively selects and configures light sources and system parameters, adopts silicon substrate golden yellow LED chips with a spectrum concentrated in the 550-630nm yellow light band, and combines phosphor-free encapsulation technology to eliminate the risk of spectral overflow caused by blue light excitation of phosphors, thus achieving pure "golden yellow light". By precisely controlling the wavelength and power ratio of yellow and red light chips, a general color rendering index Ra>75 and a red saturation index R9>50 are achieved. At the same time, an asymmetric freeform surface lens with specific geometric features and a microstructure light mixing mask are designed to achieve low glare and high road surface uniformity. The system adopts an integrated design of light source + drive + control + detection, supports intelligent light control, sensor dimming, status monitoring, and fault protection, and is compatible with smart low-level lighting. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating a scene-adaptive, powder-free, low-position lighting method for golden LEDs. Figure 2 This is a schematic diagram of a silicon-based LED chip assembly structure in one embodiment; Figure 3 This is a schematic diagram of the uniformity distribution of road surface illumination in one embodiment; Figure 4 This is a light source spectrum curve in one embodiment (no blue light, wavelength 550–630 nm). Detailed Implementation

[0021] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the stated features. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0023] In the description of this application, the term "for example" is used to mean "used as an example, illustration, or description." Any embodiment described as "for example" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the invention. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that the invention can be made without using these specific details. In other instances, well-known structures and processes will not be described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the invention is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0024] like Figure 1-4 As shown: In one embodiment, a scene-adaptive, powder-free low-position illumination method for golden LEDs is provided; including the following steps: S1: Analyze low-level lighting scenarios; S2: Based on the scene analysis results, select golden yellow LED powder-free lighting source; S3: Based on scene analysis results and light source characteristics, design a dedicated light distribution scheme to optimize illuminance uniformity and reduce glare; S4: Equipped with an intelligent control system to achieve automatic dimming, status monitoring and fault protection; S5: Install the light source, optical components, and control system in the designated locations and perform debugging to ensure the system operates normally.

[0025] In this embodiment, the core of the method lies in "scene adaptation," which means customizing lighting solutions based on the characteristics of different low-level lighting scenarios (e.g., roads, tunnels, garages, walkways, etc.). In S1, the lighting requirements of specific scenarios are understood through analysis of the low-level lighting scenarios. For example, highway interchanges require high fog penetration, high color rendering (especially red), and low glare; tunnels require moisture-proof, dust-proof, and low glare, and may also require emergency lighting. Different application scenarios have different lighting requirements. Subsequently, based on the scenario analysis results, a golden LED powder-free lighting source is selected. Based on the scenario analysis results and the characteristics of the light source, a dedicated light distribution scheme is designed to optimize illuminance uniformity and reduce glare. According to the shape and size of the scene, a suitable light distribution curve is selected. For example, an asymmetric freeform surface lens + microstructure light mixing mask can achieve precise light cut-off perpendicular to the road surface direction (light intensity attenuation to less than 10% of the peak value in the 70°-90° angle range), achieving low glare and high road surface uniformity.

[0026] In one embodiment, the golden yellow LED powder-free lighting source includes a silicon-based LED chip assembly, a low-position dedicated optical component, a high-efficiency heat dissipation module, and a high-protection packaging structure; it adopts a combination of domestically produced silicon substrate yellow LED chips and red LED chips, without phosphors, with a color temperature of 2000±200K, a color rendering index Ra>75, R9>50, and does not contain blue-violet light with a wavelength <500nm, and a luminous efficacy ≥160lm / W; wherein, the main wavelength of the yellow LED chip is 550–570nm, the main wavelength of the red LED chip is 610–630nm, and it has a vertical structure design; the heat dissipation module adopts a silicon-based heat dissipation ceramic substrate, which is homogeneous and compatible with the chip substrate.

[0027] In one embodiment, an asymmetric freeform surface lens and a microstructured light-mixing mask are used to achieve precise control of the light beam, improve the uniformity of road surface illumination, and reduce glare.

[0028] The design of the asymmetric freeform surface lens employs an optimization-based iterative algorithm, aiming to minimize glare and maximize road surface uniformity. The objective function is: ; Where G is the glare value and U0 is the road surface uniformity. and These are weight values; ; in, Let be the brightness of the i-th light source. For the corresponding solid angle, Where N is the distance from the observer to the light source, and N is the number of light sources; ; in, To calculate the minimum illuminance within the area, This is used to calculate the average illuminance within the area.

[0029] In one embodiment, the intelligent control system includes an ambient light sensor, a human body sensor, and a radar sensor. In road areas, a traffic flow sensor can also be added to enable intelligent dimming based on ambient light and human body detection.

[0030] A dimming algorithm based on ambient illuminance and human body sensing is used to achieve energy-saving and comfortable lighting. The formula for calculating ambient illuminance is: ; in Let represent the illuminance value of the j-th ambient light sensor, and M represent the number of sensors.

[0031] In one embodiment, the target color gamut is optimized by precisely controlling the spectral power distribution of the yellow LED chip and the red LED chip, wherein the spectral power distribution includes: ; in It is the light source at wavelength Spectral power distribution, It is a yellow LED chip at a wavelength Spectral power distribution at [location] It is a red LED chip at a wavelength Spectral power distribution at [location] and These are the spectral weighting coefficients for yellow and red LED chips, respectively; and they are calculated using an optimization algorithm: ; ; in, This represents the CIEDE2000 color difference value, indicating the deviation between the target color gamut and the actual color gamut; by minimizing this value, excellent color reproduction capability is guaranteed. The flicker index represents the degree to which light output changes over time. Weighting coefficients are used to balance color difference and flicker index; by adjusting parameters and β, better color rendering and color reproduction (minimizing ΔEab) can be achieved, and the flicker index can be reduced by optimizing the spectral power distribution. This formula aims to minimize color difference and flicker by adjusting the spectral weighting coefficients of yellow and red LED chips; it limits... and The range of values ​​is determined to ensure that after mixing, there is both yellow and red light, ultimately making the light source reach 2000±200K.

[0032] In another embodiment, a scene-adaptive golden LED powder-free low-profile lighting system is provided, applied to any of the scene-adaptive golden LED powder-free low-profile lighting methods described above, the system comprising: The golden yellow LED powder-free lighting source includes silicon-based LED chip components, low-position dedicated optical components, high-efficiency heat dissipation modules, and high-protection packaging structures; it uses a combination of domestic silicon-based yellow LED chips and red LED chips, is free of phosphors, has a color temperature of 2000±200K, a color rendering index Ra>75, R9>50, does not contain blue-violet light with a wavelength <500nm, and has a luminous efficacy ≥160lm / W; The driver module is used to drive the golden yellow LED powderless lighting source; The control module is used to achieve intelligent dimming and control based on scene characteristics and sensor data; The detection module is used to detect ambient light levels, the presence of human beings, and the presence of vehicles. The power module is used to provide a stable power supply for the entire system.

[0033] In this embodiment, the driving module adopts constant current drive, wide voltage input, and has overcurrent, overvoltage, overheat, short circuit, and lightning protection to ensure stable and flicker-free light source; the control module adopts a single lamp controller, supporting switching, brightness adjustment, light sensor control, and human / radar sensing, and can be connected to a smart lighting platform; the detection module also includes ambient light detection, temperature detection, brightness detection, fault detection, automatic dimming, over-temperature protection, and fault reporting; the power supply module supports AC / solar power supply, voltage stabilization and filtering, resistance to power grid fluctuations, and a reserved emergency power interface; System control logic: 1. Power-on self-test: The system automatically detects the status of each module upon power-on.

[0034] 2. Automatic light control: The lights automatically turn off when the ambient light is bright and automatically turn on when the ambient light is dim.

[0035] 3. Sensor-based energy-saving control: Full brightness when there are people / vehicles, low brightness or sleep mode when there are no people / vehicles.

[0036] 4. Overheat protection: Automatically reduces power when the temperature exceeds the limit, and cuts off the power supply if the temperature remains high.

[0037] 5. Manual / Remote Control: Supports local control and remote centralized management.

[0038] Example 1: Pedestrian walkway lighting; Scenario Analysis: Terrain features: flat road surface, suitable for pedestrians.

[0039] Lighting requirements: Provide uniform and comfortable lighting to ensure pedestrian safety.

[0040] Safety requirements: Low glare to avoid visual disturbance to pedestrians.

[0041] Light source selection: Choose a low-power, golden-yellow LED powder-free lighting source with a color temperature of 2000K.

[0042] Considering the lighting of pedestrian walkways, a luminous efficacy of ≥120lm / W can be selected to balance lighting effect and energy consumption.

[0043] The chip uses a 565nm yellow light + 620nm red light ratio of 2:1, increasing the proportion of red light to improve the comfort of pedestrian walkways.

[0044] Optical design: By employing an asymmetric freeform surface lens, a wide beam distribution in the horizontal direction and beam cutoff control in the vertical direction are achieved, ensuring road surface uniformity U0≥0.6 and glare value G<16.

[0045] High-transmittance PMMA or PC are selected as lens materials, and the microstructure of the lens surface is optimized to improve light extraction efficiency.

[0046] System Configuration: It is equipped with an intelligent light control system that automatically adjusts the brightness according to the ambient light level.

[0047] The addition of a human body sensor automatically increases the brightness when a pedestrian approaches, enhancing safety.

[0048] The system needs to have remote monitoring and fault diagnosis functions to achieve intelligent operation and maintenance.

[0049] Installation and debugging: Install the light source on a street lamp pole or wall at a height of 2-3 meters.

[0050] Adjust the lens angle to ensure the beam covers the entire pedestrian walkway.

[0051] Debug and test the intelligent control system to ensure that all functions operate normally.

[0052] Example 2: Tunnel lighting; Scenario Analysis: Terrain features: enclosed space, accessible by vehicles.

[0053] Lighting requirements: Provide high-brightness, highly uniform lighting to ensure driver safety.

[0054] Safety requirements: High fog permeability, adaptable to severe weather conditions inside the tunnel.

[0055] Light source selection: Choose a high-power golden yellow LED powder-free lighting source with a color temperature of 2200K.

[0056] Considering the need for high fog penetration in tunnels, long-wavelength golden yellow LEDs can be selected, and the spectral distribution can be optimized to improve fog penetration performance by more than 30%.

[0057] Choose a high-efficiency light source to ensure sufficient brightness while reducing energy consumption.

[0058] Optical design: Symmetrical freeform surface lenses are used to achieve uniform lighting inside the tunnel, ensuring road surface uniformity U0≥0.6 and glare value G<16.

[0059] Designing microstructures on the lens surface reduces light scattering, improves light directionality, and ensures effective long-distance illumination.

[0060] System Configuration: Equipped with an intelligent dimming system, the brightness is automatically adjusted according to the illuminance inside and outside the tunnel.

[0061] The system incorporates vehicle sensing capabilities, automatically increasing brightness when a vehicle enters the tunnel to enhance safety.

[0062] An emergency lighting system is installed to ensure sufficient lighting inside the tunnel in the event of an emergency such as a power outage.

[0063] Installation and debugging: The light sources are installed on the top or sidewalls of the tunnel, with the spacing determined by the tunnel's width and height.

[0064] Adjust the lens angle to ensure the beam covers the entire tunnel.

[0065] Debug and test the intelligent control system to ensure that all functions operate normally.

[0066] Example 3: Garage lighting; Scenario Analysis: Terrain features: indoor space, vehicle parking.

[0067] Lighting requirements: Provide adequate lighting to facilitate vehicle parking and pedestrian passage.

[0068] Safety requirements: Energy saving; avoid prolonged high-brightness lighting.

[0069] Light source selection: Choose a golden yellow LED powder-free lighting source with moderate power and a color temperature of 2000K.

[0070] Considering the special environment of the garage, choose a moisture-resistant and dust-proof light source to improve its service life.

[0071] Optical design: A wide-beam microstructure light-mixing mask is used to achieve uniform lighting in the garage, ensuring road surface uniformity U0≥0.5 and glare value G<16.

[0072] Optimize the materials and structure of the light-mixing mask to improve the softness of light, reduce shadows, and increase visual comfort.

[0073] System Configuration: Equipped with a radar sensing system, the lighting automatically increases when a person or vehicle enters the garage, and decreases or turns off when no one is present.

[0074] Configure a timed control system to automatically reduce brightness at night or during off-peak hours to achieve energy saving.

[0075] Linking the garage lighting system with the intelligent parking system enables more intelligent management.

[0076] Installation and debugging: The light sources are installed on the top of the garage, with the spacing determined by the garage's height and area.

[0077] Adjust the mask angle to ensure the beam covers the entire garage.

[0078] Debug and test the intelligent control system to ensure that all functions operate normally.

[0079] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0080] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A scene-adaptive, powder-free, low-position illumination method for golden LEDs, characterized in that, Includes the following steps: S1: Analyze low-level lighting scenarios; S2: Based on the scene analysis results, select golden yellow LED powder-free lighting source; S3: Based on scene analysis results and light source characteristics, design a dedicated light distribution scheme to optimize illuminance uniformity and reduce glare; S4: Equipped with an intelligent control system to achieve automatic dimming, status monitoring and fault protection; S5: Install the light source, optical components, and control system in the designated locations and perform debugging to ensure the system operates normally.

2. The method for scene-adaptive, low-position, powder-free illumination of golden LEDs according to claim 1, characterized in that, The golden yellow LED powder-free lighting source includes a silicon-based LED chip assembly, a low-position dedicated optical assembly, a high-efficiency heat dissipation module, and a high-protection packaging structure; it adopts a combination of domestically produced silicon substrate yellow LED chips and red LED chips, is free of phosphors, has a color temperature of 2000±200K, a color rendering index Ra>75, R9>50, does not contain blue-violet light with a wavelength <500nm, and has a luminous efficacy ≥160lm / W.

3. The method for scene-adaptive low-position illumination of golden LEDs without powder, as described in claim 1, is characterized in that... In step S3, an asymmetric freeform surface lens and a microstructured light-mixing mask are used to achieve precise control of the light beam, improve the uniformity of road surface illumination, and reduce glare.

4. The method for scene-adaptive low-position illumination of golden LEDs without powder, as described in claim 3, is characterized in that... The design of the asymmetric freeform surface lens employs an optimization-based iterative algorithm, aiming to minimize glare and maximize road surface uniformity. The objective function is: ; Where G is the glare value and U0 is the road surface uniformity. and These are weight values; ; in, Let be the brightness of the i-th light source. For the corresponding solid angle, Where N is the distance from the observer to the light source, and N is the number of light sources; ; in, To calculate the minimum illuminance within the area, This is used to calculate the average illuminance within the area.

5. A method for scene-adaptive, low-position, powder-free illumination of golden LEDs according to claim 1, characterized in that, In step S4, the intelligent control system includes an ambient light illuminance sensor, a human body sensor, and a radar sensor, which enables intelligent dimming based on ambient light illuminance and human body sensing.

6. The method for scene-adaptive, low-position, powder-free illumination of golden LEDs according to claim 1, characterized in that, A dimming algorithm based on ambient illuminance and human body sensing is used to achieve energy-saving and comfortable lighting. The formula for calculating ambient illuminance is: ； in Let represent the illuminance value of the j-th ambient light sensor, and M represent the number of sensors.

7. A method for scene-adaptive, low-position, powder-free illumination of golden LEDs according to claim 2, characterized in that, By precisely controlling the spectral power distribution of the yellow and red LED chips, the target color gamut is optimized. The spectral power distribution includes: ; in It is the light source at wavelength Spectral power distribution, It is a yellow LED chip at a wavelength Spectral power distribution at [location] It is a red LED chip at a wavelength Spectral power distribution at [location] and These are the spectral weighting coefficients for yellow LED chips and red LED chips, respectively.

8. A scene-adaptive golden LED powder-free low-position lighting system, characterized in that, The system, applicable to the scene-adaptive golden LED powder-free low-position illumination method according to any one of claims 1-7, comprises: The golden yellow LED powder-free lighting source includes silicon-based LED chip components, low-position dedicated optical components, high-efficiency heat dissipation modules, and high-protection packaging structures; it adopts a combination of domestically produced silicon substrate yellow LED chips and red LED chips, without phosphors, color temperature 2000±200K, color rendering index Ra>75, R9>50, does not contain blue-violet light with wavelength <500nm, and luminous efficacy ≥160lm / W; The driver module is used to drive the golden yellow LED powderless lighting source; The control module is used to achieve intelligent dimming and control based on scene characteristics and sensor data; The detection module is used to detect ambient light levels, the presence of human beings, and the presence of vehicles. The power module is used to provide a stable power supply for the entire system.

Images