A zero-blue light intelligent lighting system and method for an outdoor area

Abstract

The application discloses an outdoor area zero-blue-light intelligent lighting system and method, and relates to the technical field of energy management.The system comprises a scene demand definition module, a zero-blue-light hardware configuration module, a hybrid control architecture module, a signal linkage execution module and a performance verification optimization module.The scene demand definition module analyzes the characteristics of the vision of the elderly, biological night activity habits and plant night respiration, determines relevant parameters and outputs a report.The zero-blue-light hardware configuration module selects adjustable light sources and deploys lamps.The hybrid control architecture module constructs a double-layer architecture.The signal linkage execution module receives data to generate instructions.The performance verification optimization module tests in an actual scene and adjusts system parameters.The application adopts silicon-based yellow light LED powder-free lighting technology and a blue light compensation algorithm to completely eliminate harmful blue light, match color temperatures according to scenes and guarantee visual health and activity safety through zero-blue-light hardware and a hybrid control architecture.Meanwhile, the application integrates multiple sensors and intelligent algorithms to realize real-time linkage of the environment, personnel and equipment, reduce energy consumption and exhibit the dual advantages of technical practicability and environmental sustainability.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, and specifically provides a zero-blue-light intelligent lighting system and method for outdoor areas. Background Art

[0002] With the intensification of the global population aging trend and the popularity of outdoor activities at night, lighting technologies targeting the visual characteristics and health needs of the elderly have become a research hotspot; at the same time, the impact of outdoor lighting on the ecological environment has received increasing attention, and traditional outdoor lighting systems have significant deficiencies in both visual health protection and biocompatibility. Most traditional outdoor lighting systems use high-color-temperature LED light sources, and the blue-violet light components in the spectral band below 500 nm have relatively high energy, which is likely to cause retinal photochemical damage, especially posing a greater risk to the elderly population with reduced lens light transmittance; more critically, such light sources containing blue light components will seriously interfere with the living habits of surrounding wild animals and plants, for example, damaging the visual navigation ability of nocturnal animals, affecting the photoperiod regulation of plants, and the light in the blue light band has a strong attraction to mosquitoes, easily leading to the aggregation of mosquitoes in the lighting area, which not only affects the comfort of the living environment but also may increase the risk of disease transmission.

[0003] At the same time, the spectral distribution, personnel activity trajectories, and natural light changes in the outdoor environment at night are dynamic. Traditional lighting systems are difficult to achieve differential regulation of illuminance and color temperature according to scene requirements, resulting in some areas being too bright or insufficient, wasting energy and affecting visual comfort. In addition, existing control technologies mostly rely on single sensors or fixed time sequences, lacking the ability to respond in real time to multi-dimensional data such as ambient light and personnel activities, and not incorporating biocompatibility indicators (such as the impact on wild animals and plants, mosquito attraction) into the regulation system, making it difficult to meet the comprehensive requirements of "visual health - ecological protection - energy efficiency optimization" for complex outdoor scenes. In this context, it is urgent to develop a zero-blue-light intelligent lighting system that takes into account the visual health of the elderly, does not interfere with the living habits of wild animals and plants, does not attract mosquitoes, and is adaptable to scenes and optimized for energy efficiency. Summary of the Invention

[0004] The purpose of the present invention is to make up for the deficiencies of the existing technology, and provides a zero-blue-light intelligent lighting system and method for outdoor areas. By using silicon-based yellow light LED powder-free lighting technology to eliminate harmful blue light, combined with a color temperature steady-state regulation algorithm to achieve scene-based light adaptation, it meets the visual health needs of the elderly. The system adopts a hybrid control architecture, integrating a digital time sequence layer and an analog compensation layer, dynamically responding to ambient light and personnel activity data, automatically optimizing illuminance and color temperature, and preferentially using natural light to reduce energy consumption.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: On the one hand, a zero-blue-light intelligent lighting system for outdoor areas, the system includes: The scenario requirement definition module is used to analyze the activity trajectories of people in outdoor areas and the spectral characteristics of ambient light at night, determine the blue light control threshold (blue-violet light intensity below 500nm is 0), the illuminance level of each outdoor area and the color temperature range of 1800K to 2200K, and output a scenario function zoning table, a basic lighting parameter table, and an environmental blue light interference analysis report; the zero-blue-light hardware configuration module is used to select silicon-based yellow LEDs and silicon-based red LEDs to form a blue-light-free adjustable spectral light source, configure a spectral detection unit, a human infrared sensor, and a light intensity sensor, and deploy appropriate lighting fixtures according to the area; the hybrid control architecture module is used to construct a hybrid control architecture including a digital timing layer and an analog compensation layer; wherein, the digital timing layer sets the switching time between night mode and late night mode according to the season, and introduces a transition smoothing control algorithm to calculate the transition time of lighting state switching; the analog compensation layer introduces a dynamic blue light compensation algorithm. The system calculates the red LED current ratio compensation coefficient and introduces a color temperature steady-state adjustment algorithm to maintain a stable color temperature of 1800K to 2200K. The hybrid control architecture module also outputs a control logic flowchart and a control parameter configuration table. The signal linkage execution module receives ambient blue light intensity data (blue-violet light intensity below 500nm is 0), personnel activity data, and ambient natural light intensity data collected by sensors. It introduces an intelligent illuminance adaptation algorithm to calculate the final output illuminance for each area, generates control commands according to preset signal priority rules, and transmits the control commands to the light source drive circuit in the zero-blue-light hardware configuration module. The performance verification and optimization module tests the system's operating parameters (including blue-violet light intensity below 500nm, impact on the living habits of wild animals and plants, and mosquito attraction) in real-world scenarios and adjusts the hardware layout, control parameters, and algorithm coefficients based on the test results.

[0006] Furthermore, in the scenario requirement definition module, the blue-violet light control threshold is set to 0 for blue-violet light intensity in the band below 500nm; the illuminance levels of each outdoor area are divided into main roads (20-25 lux), residential areas (10-15 lux), tunnels / bridges (30-50 lux), and historical areas (5-10 lux), with high illuminance areas corresponding to tunnels / bridges, medium illuminance areas corresponding to main roads, and low illuminance areas corresponding to residential areas and historical areas; the color temperature range is uniformly set to 1800K-2200K, with the color temperature of main roads set to 1800K-2000K, and the color temperature of residential areas, tunnels / bridges, and historical areas set to 1800K.

[0007] Furthermore, in the zero-blue-light hardware configuration module, the basic current ratio of the red LED and yellow LED of the blue-light-free adjustable spectral light source is adapted to the color temperature requirement of 1800K~2200K; the sampling frequency of the spectral detection unit is set to 1 time / second, and the detection accuracy of blue-violet light intensity below 500nm is ±2nm and the detection value must be ensured to be 0; the detection distance of the human infrared sensor is set to 5m-10m, and the false alarm rate is ≤1%; the detection range of the digital light intensity sensor is set to 0lux-20000lux.

[0008] Furthermore, in the hybrid control architecture module, the calculation formula for the transition smoothing control algorithm is as follows: ,in: This is the compensation coefficient for the proportion of current in the red LED. Given the current ambient blue light intensity, Blue light control threshold, The maximum environmental blue light tolerance value, This represents the difference between the current time and sunset time, reflecting how blue light sensitivity changes over time at night. This represents the actual illuminance in the current area. This is the standard illuminance for the area. The blue light sensitivity coefficient is determined based on the biological blue light sensitivity level of outdoor areas and the visual blue light tolerance characteristics of the elderly. This is the time decay coefficient, determined based on the time decay pattern of nighttime blue light sensitivity and the differences in sunset times across seasons. The illuminance influence coefficient is determined based on the standard illuminance level and illuminance adjustment accuracy requirements for outdoor areas, and the calculation must ensure that the final color temperature is maintained between 1800K and 2200K.

[0009] Furthermore, in the hybrid control architecture module, the calculation formula for the blue light dynamic compensation algorithm is as follows: ,in: The actual color temperature after compensation Based on color temperature, This is the color temperature adjustment coefficient. This is the compensation coefficient for the proportion of current in the red LED.

[0010] Furthermore, in the hybrid control architecture module, the calculation formula for the color temperature steady-state adjustment algorithm is: ,in: It is the final output illuminance. It is standard illuminance. It refers to the state of human presence. These are pattern coefficients. It is the intensity of ambient natural light. The influence of personnel is a factor, and the adjustment process must ensure that the color temperature remains stable between 1800K and 2200K.

[0011] Furthermore, in the signal linkage execution module, the calculation formula for the illuminance intelligent adaptation algorithm is as follows: ,in: It is the time for the gradual brightening and darkening transition. It is the target color temperature. This is the current color temperature. It is the target illuminance. This is the current illuminance. That is the standard illuminance.

[0012] Furthermore, in the signal linkage execution module, the preset signal priority rules are as follows: the ambient natural light intensity signal transmitted by the light intensity sensor has the highest priority, followed by the ambient blue-violet light intensity signal transmitted by the spectral detection unit (it must be ensured that the blue-violet light intensity below 500nm is 0), then the human activity status signal transmitted by the human infrared sensor, and finally the mode signal output by the digital timing layer in the hybrid control architecture module; and when the ambient natural light intensity is >100 lux, a control command is generated to turn off all outdoor area lighting equipment, while ensuring that the lighting equipment does not affect the living habits of wild animals and plants and does not attract mosquitoes when it is turned on.

[0013] Furthermore, the performance verification and optimization module includes tests on the intensity of blue-violet light below 500nm in various outdoor areas (which must be 0), the color temperature fluctuation range of 1800K to 2200K, the illuminance adjustment delay time, the transition time for switching light states, the system's daily energy consumption, the degree of impact on the living habits of wild animals and plants, and the number of mosquitoes attracted. The parameter optimization cycle is set to once a month, and after each parameter optimization, a 72-hour continuous stability test must be conducted (focusing on verifying the blue light-free characteristics, the stability of the 1800K to 2200K color temperature, and biocompatibility). Only after passing the test can the optimized parameters be officially applied to the system.

[0014] On the other hand, a method for controlling zero-blue-light smart lighting in outdoor areas includes the following steps: S100, Scenario Requirements Definition: Analyze the activity trajectories of people in outdoor areas and the spectral characteristics of ambient light at night to determine the blue-violet light control threshold (blue-violet light intensity below 500nm = 0), illuminance level (20~25 lux for main roads, etc.), and color temperature range of 1800K~2200K; S200, Zero Blue Light Hardware Configuration: Select silicon-based yellow LEDs and silicon-based red LEDs to form a blue-light-free adjustable spectral light source, configure a spectral detection unit, a human infrared sensor, and a light intensity sensor, and deploy luminaires according to the area; S300, Hybrid Control Architecture Construction: Set up a digital timing layer and analog compensation... The compensation layer introduces a transition smoothing control algorithm, a blue light dynamic compensation algorithm, and a color temperature steady-state adjustment algorithm to ensure that the color temperature is stable between 1800K and 2200K; S400, signal linkage execution: receives sensor data (including detection data of blue-violet light intensity = 0 in the band below 500nm), introduces an intelligent illuminance adaptation algorithm to calculate the output illuminance, and generates control commands according to preset priorities; S500, performance verification and optimization: tests the system operating parameters (including blue light-free characteristics, color temperature stability between 1800K and 2200K, impact on the living habits of wild animals and plants, and mosquito attraction) and adjusts the hardware and algorithm parameters.

[0015] Compared with existing technologies, the zero-blue-light intelligent lighting system and method for this outdoor area has the following beneficial effects: I. This invention employs an innovative hardware design that uses only silicon-based yellow LEDs and silicon-based red LEDs to create a blue-light-free light source. This physically eliminates blue-violet light components below 500nm and strictly controls the color temperature within the range of 1800K to 2200K. Compared to traditional outdoor lighting systems, this not only avoids the potential damage to the human retina (especially the elderly) caused by blue light but also significantly improves the biocompatibility with the outdoor ecological environment. The light source within this color temperature range will not interfere with the natural living habits of surrounding wild animals and plants, while effectively reducing mosquito gatherings. It solves the ecological interference problems caused by blue light components or high color temperature characteristics of traditional lighting, creating a dual-friendly light environment for outdoor areas that balances human visual health and natural ecological protection.

[0016] II. This invention, through the synergy of a hybrid control architecture module and a performance verification and optimization module, ensures stable blue-light-free characteristics of the light source and precise color temperature control between 1800K and 2200K. Combined with real-time multi-sensor linkage and intelligent algorithm dynamic adjustment, it achieves efficient adaptation to ambient light, human activity, and lighting equipment. The system can adjust illuminance according to the differentiated functional needs of different outdoor areas, prioritizing the use of natural light to reduce energy consumption. Simultaneously, through monthly parameter optimization and 72-hour stability testing, it continuously verifies blue-light-free output, color temperature stability, and bio-friendly indicators, ensuring that it maintains its low-energy consumption advantage during long-term operation while consistently meeting the ecological requirements of not impacting the living habits of wild animals and plants and not attracting mosquitoes. This represents a triple breakthrough in technological practicality, human health protection, and environmental sustainability.

[0017] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0019] Figure 1 A framework diagram of a zero-blue-light intelligent lighting system for outdoor areas; Figure 2 Flowchart of a zero-blue-light intelligent lighting control method for outdoor areas; Figure 3 This is a data and control interaction diagram for a zero-blue-light intelligent lighting system in outdoor areas. Detailed Implementation

[0020] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0021] Example 1: Application of the system in outdoor lighting scenarios in elderly communities.

[0022] In an outdoor lighting system upgrade project for a senior living community, a zero-blue-light intelligent lighting system for outdoor areas, as described in this invention, was deployed. Figure 1As shown, the community covers an area of ​​approximately 15 hectares and includes multiple functional areas such as an activity square, main entrance passage, secondary roads, green walkways, and leisure areas. It has a permanent elderly population of over 2,000, who are frequently active at night and have high requirements for lighting comfort and visual health. At the same time, it is necessary to take into account the protection of the living habits of wild animals and plants around the community and avoid attracting mosquitoes.

[0023] After the system starts, the scenario requirement definition module first performs analysis. Based on the visual characteristics of the elderly and their sensitivity to blue light, this module combines community personnel activity trajectory data and nighttime ambient light spectrum characteristics to determine the illumination requirement parameters for each area. By analyzing the sensitivity of the elderly's retina to short-wavelength blue light, the blue-violet light control threshold is set to 0 for wavelengths below 500nm (completely no blue light). Illumination levels are divided according to the function of each area: the activity square is a high-illuminance area (≥400 lux), the main entrance and main passage are medium-illuminance areas (300 lux), and secondary roads and walkways are low-illuminance areas. The color temperature range (200 lux) is set according to the functional differences of each area and uniformly limited to 1800K~2200K: 2000K~2200K for the activity plaza, 1900K~2100K for the main entrance and main passage, and 1800K~2000K for secondary roads and walkways. This module outputs a scene function zoning table with detailed parameter configurations, a basic lighting parameter table, and an environmental blue light interference analysis report. It also supplements a bio-friendly assessment (clarifying the impact of the blue light-free design on surrounding flora and fauna), providing an accurate data foundation for subsequent hardware selection and control systems. Figure 3 As shown.

[0024] The zero-blue-light hardware configuration module selects and deploys equipment based on the requirements analysis results. It uses a blue-light-free tunable spectral light source composed of silicon-based yellow and red LEDs. This specific wavelength light source combination completely eliminates blue-violet light components at the physical level (ensuring no blue light output below 500nm). A high-precision spectral detection unit is configured to monitor the intensity of ambient blue-violet light at a sampling frequency of once per second, ensuring a detection accuracy of ±2nm below 500nm and a consistently zero detection value. A human infrared sensor is deployed, with a detection distance set at 5m-10m. To keep the false alarm rate below 1%, digital light intensity sensors are installed, covering a detection range of 0 lux to 20,000 lux, to collect ambient natural light intensity data in real time. At the same time, the basic current ratio of red LEDs and yellow LEDs is adjusted according to the color temperature requirement of 1800K to 2200K (no longer fixed at 1:1, but dynamically adapted according to the target color temperature). All sensors and lamps are optimized and laid out according to the functional requirements of each area to ensure that the lighting effect of each area meets the design requirements, while avoiding energy waste, light pollution, and mosquito gathering problems caused by the presence of blue light.

[0025] The hybrid control architecture module constructs a dual control system consisting of a digital timing layer and an analog compensation layer. The digital timing layer automatically adjusts the switching time between night mode and late night mode according to seasonal changes, and ensures a natural and smooth transition process through a transition smoothing control algorithm. The calculation formula for the transition smoothing control algorithm is as follows: ,in: This is the compensation coefficient for the proportion of current in the red LED. Given the current ambient blue light intensity, Blue light control threshold, The maximum environmental blue light tolerance value, This represents the difference between the current time and sunset time, reflecting how blue light sensitivity changes over time at night. This represents the actual illuminance in the current area. This is the standard illuminance for the area. This is the blue light sensitivity coefficient. The time decay coefficient, As the illuminance influence coefficient, the simulation compensation layer monitors the ambient blue light intensity in real time. A dynamic blue light compensation algorithm is used to adjust the proportion of red LED current, effectively suppressing blue light radiation in the environment. The calculation formula for the dynamic blue light compensation algorithm is as follows: ,in: The actual color temperature after compensation Based on color temperature, This is the color temperature adjustment coefficient. The red LED current ratio compensation coefficient is used, and a color temperature steady-state adjustment algorithm is adopted simultaneously to maintain stable color temperature output during dynamic adjustment, avoiding the impact of color temperature fluctuations on visual comfort. The calculation formula for the color temperature steady-state adjustment algorithm is as follows: ,in: It is the final output illuminance. It is standard illuminance. It refers to the state of human presence. These are pattern coefficients. It is the intensity of ambient natural light. It determines the influence weight of personnel and generates detailed control logic flowcharts and control parameter configuration tables, providing complete execution specifications for system operation.

[0026] The signal linkage execution module receives real-time monitoring data uploaded by various sensors. Through a comprehensive analysis of multiple factors, including ambient blue light intensity, human activity levels, and ambient natural light intensity, using an intelligent illuminance adaptation algorithm, it calculates the most suitable output illuminance value for each area. The calculation formula for the intelligent illuminance adaptation algorithm is as follows: ,in: It is the time for the gradual brightening and darkening transition. It is the target color temperature. This is the current color temperature. It is the target illuminance. This is the current illuminance. It operates at standard illuminance and strictly adheres to preset signal priority rules, prioritizing ambient natural light intensity signals, followed by ambient blue-violet light intensity signals (ensuring no blue-violet light below 500nm), then human activity status signals, and finally referencing mode control signals. When ambient natural light intensity exceeds 100 lux, it automatically generates a command to turn off the lighting. When human activity is detected, it intelligently adjusts lighting parameters based on the characteristics of the area, while ensuring that the lighting does not disturb the living habits of surrounding wild animals and plants or attract mosquitoes. All control commands are transmitted to the light source driver circuit via a dedicated bus, enabling precise real-time control of the lighting system.

[0027] The performance verification and optimization module establishes a comprehensive system evaluation mechanism, conducting monthly comprehensive testing of system operating parameters. In addition to the existing standards for blue-violet light intensity compliance in various regions (a new standard requires ensuring zero blue-violet light intensity below 500nm), color temperature fluctuation range (limited to 1800K–2200K), illuminance adjustment response time, state switching smoothness, and average daily energy consumption, new observation indicators on the impact on the living habits of wild flora and fauna (such as the frequency of bird habitats and insect activity density) and statistics on mosquito attraction are added. Based on the test results... We continue to optimize hardware layout (such as adjusting the angle of lamps to avoid direct light shining on animal and plant habitats), control parameters (such as further refining the color temperature segmentation within 1800K to 2200K), and improve algorithm coefficients. After each optimization, we conduct a 72-hour continuous stability test, focusing on verifying the blue light-free characteristics, color temperature stability within 1800K to 2200K, and biofriendliness (no mosquito gathering, no abnormal animal or plant behavior). Only after passing the test can the optimized parameters be officially applied to the system. By establishing an operational database and analysis model, we continuously optimize system performance to ensure long-term stable operation.

[0028] In summary, this embodiment demonstrates the practical application effectiveness of a zero-blue-light intelligent lighting system in an outdoor environment of an elderly community. Through precise analysis by the scene requirement definition module, the system scientifically sets the illuminance levels for each functional area and a blue-light-free color temperature range of 1800K–2200K, providing a lighting environment suitable for the visual characteristics of the elderly. The hardware configuration module uses LED light sources of specific wavelengths to completely eliminate blue light hazards at the physical level, and works with a high-precision sensor network to achieve comprehensive environmental data collection, while dynamically adjusting the LED current ratio according to color temperature requirements. The hybrid control architecture utilizes a dual mechanism of digital timing and analog compensation. The system ensures smooth and natural switching of lighting conditions, effectively maintaining a blue light-free state and a stable color temperature of 1800K–2200K. The signal linkage execution module relies on intelligent algorithms to achieve dynamic and precise adjustment of illuminance, taking into account both human needs and biocompatibility. The performance optimization module ensures that the system has no negative impact on the surrounding ecological environment by adding biologically relevant detection indicators. Actual operation data shows that the system has achieved significant results in improving the safety and visual comfort of elderly people's nighttime activities, reducing energy consumption, protecting the living habits of wild animals and plants, and avoiding attracting mosquitoes, providing a reliable technical solution for upgrading lighting systems in elderly communities.

[0029] Example 2: Application of the method in park nighttime lighting management.

[0030] To comprehensively improve the quality of nighttime lighting and reduce the impact of light pollution on the ecological environment, a large urban park adopted a zero-blue-light intelligent lighting control method for outdoor areas proposed in this invention. The park covers an area of ​​approximately 20 hectares and includes multiple functional zones such as a central square, main tourist roads, secondary walkways, recreational green areas, and water features. It receives thousands of visitors every night. The method is based on the aforementioned system and achieves intelligent management of the entire process from environmental perception to command execution through multi-level control strategies and intelligent algorithms. It also focuses on strengthening the protection of the living habits of wild animals and plants in the park and preventing the attraction of mosquitoes.

[0031] In the initial implementation phase of the control method, a comprehensive environmental and demand analysis was conducted. Based on the functional characteristics and activity patterns of different areas within the park, and considering the special needs of the elderly who are sensitive to blue light, the system scientifically set the lighting parameters for each area: the central plaza, as the main activity area, was designated as a high-illuminance zone with an illuminance level of no less than 400 lux, and a color temperature range of 2000K–2200K (previously 3500K–4000K) to ensure visual clarity and comfort during group activities, while avoiding potential interference from insects and birds due to the high color temperature; the main walkways were designated as a medium-illuminance zone with 300 lux, and a color temperature range of 1900K–2100K (previously 3000K–3500K) to ensure pedestrian access. Safety is ensured; secondary walkways and green areas (frequently used by birds and small mammals) are designated as low-illuminance zones of 200 lux, with color temperature controlled between 1800K and 2000K (previously 2000K-2500K), creating a tranquil nighttime atmosphere and minimizing light stimulation to plants and animals; blue light intensity in all areas is strictly controlled to a standard of 0 (completely no blue light) in the wavelength range below 500nm (previously ≤0.05W / m²), minimizing the impact of blue light on visual health and its attraction to insects; the functional zoning scheme, lighting parameter configuration table, and bio-friendly adaptation instructions (clarifying the adaptation relationship between color temperature and plant and animal activity in each area) output at this stage provide detailed execution basis for subsequent precise control, such as... Figure 2 As shown.

[0032] During the hardware response and data acquisition phase, the system activates all sensing devices and lighting fixtures. Silicon-based yellow LED powder-free lighting sources distributed throughout the park begin operation. The ratio of red to yellow LEDs in the base current is no longer fixed at 1:1, but dynamically adapted according to color temperature requirements of 1800K to 2200K (e.g., when the central square requires 2200K, the current ratio is adjusted to red:yellow = 3.5:6.5; when secondary walkways require 1800K, the current ratio is adjusted to red:yellow = 4:6), eliminating blue light generation at the light source level. 32 high-precision spectral detection units continuously monitor the intensity of blue-violet light below 500nm in the environment at a sampling frequency of once per second, with detection accuracy controlled within ±2nm. To ensure the detection value is always 0, 45 human infrared sensors with an effective detection distance of 5m-10m monitor the activity status of people in various areas in real time, and the system strictly controls the false alarm rate to within 1%. 28 digital light intensity sensors continuously collect data on changes in ambient natural light intensity within the range of 0lux-20000lux with a millisecond-level response speed. In addition, ecological environment monitoring sensors are deployed in densely populated areas such as park green areas and water features to collect data such as insect activity density and bird roosting frequency in real time. All sensors transmit monitoring data to the central controller at a frequency of 10 times per second through a dedicated Internet of Things network, forming a complete, real-time, and accurate environmental status and ecological data perception system.

[0033] During the hybrid control strategy execution phase, the system initiates a multi-level control mechanism based on real-time environmental data. The digital timing layer automatically adjusts the switching time between night mode and late night mode according to seasonal changes and sunset time. A transition smoothing control algorithm precisely calculates the transition time required for the lighting state switch. The calculation formula for the transition smoothing control algorithm is as follows: ,in: This is the compensation coefficient for the proportion of current in the red LED. Given the current ambient blue light intensity, Blue light control threshold, The maximum environmental blue light tolerance value, This represents the difference between the current time and sunset time, reflecting how blue light sensitivity changes over time at night. This represents the actual illuminance in the current area. This is the standard illuminance for the area. This is the blue light sensitivity coefficient. The time decay coefficient, To determine the illuminance influence coefficient and ensure a smooth and natural illuminance change process, avoiding visual stimulation for pedestrians, the simulation compensation layer uses real-time ambient blue light intensity data collected by the spectral detection unit to run a dynamic blue light compensation algorithm. This algorithm dynamically adjusts the current ratio of the red LEDs. The calculation formula for the dynamic blue light compensation algorithm is as follows: ,in: The actual color temperature after compensation Based on color temperature, This is the color temperature adjustment coefficient. The red LED current ratio compensation coefficient effectively suppresses the intensity of blue light radiation in the environment; simultaneously, a color temperature steady-state adjustment algorithm is adopted to maintain stable color temperature output during current adjustment. The calculation formula for the color temperature steady-state adjustment algorithm is as follows: ,in: It is the final output illuminance. It is standard illuminance. It refers to the state of human presence. These are pattern coefficients. It is the intensity of ambient natural light. The system prioritizes the impact of human activities on plants and animals by adjusting illuminance based on ambient light and lighting patterns. This stage generates a complete implementation plan that includes all control parameter configuration tables, color temperature-current ratio tables, and ecological protection control details, providing a detailed operational guide for the precise control of the lighting system.

[0034] During the instruction generation and linkage execution phase, the central controller receives real-time data uploaded by all sensors and performs multi-dimensional data analysis using an intelligent illuminance adaptation algorithm. The calculation formula for the intelligent illuminance adaptation algorithm is as follows: ,in: It is the time for the gradual brightening and darkening transition. It is the target color temperature. This is the current color temperature. It is the target illuminance. This is the current illuminance. The standard illuminance is calculated by an algorithm that comprehensively considers multiple parameters such as the presence of people, ambient natural light intensity, current operating mode, and time factors to determine the most suitable output illuminance value for each area. The system strictly adheres to preset signal priority rules, prioritizing the processing of ambient natural light intensity signals. When the ambient illuminance exceeds 100 LUX, a command to turn off the lighting is immediately generated. Next, the system processes ambient blue light intensity signals, and a compensation mechanism is activated when blue light exceeds the standard. Then, the system processes personnel activity status signals, automatically adjusting the lighting intensity based on the density of people. Finally, the system refers to the timing mode signal and executes mode switching according to a preset schedule. All generated control commands are transmitted to the drive circuits of each lamp via an industrial-grade control bus with a millisecond-level response speed, achieving real-time and precise control of lighting parameters.

[0035] During the system performance monitoring and optimization phase, a comprehensive evaluation system was established. A full-scale test was conducted on the system monthly, using professional instruments to measure the compliance of blue-violet light intensity below 500nm in each area, monitoring whether the color temperature fluctuation range of the light source was controlled within the allowable deviation, accurately measuring whether the illuminance adjustment response time met the design requirements, recording the smoothness of the lighting state switching process in detail, and statistically analyzing the system's average daily energy consumption. After each parameter optimization, a 72-hour continuous stability test was conducted. Through multiple means such as adjusting the hardware layout, updating control parameters, and optimizing algorithm coefficients, the system's operating efficiency was continuously improved. All test data was established in a dedicated database, and big data analysis methods were used to identify optimization directions to ensure that the lighting system maintains its optimal operating state in the long term. After 6 months of trial operation and 3 major optimization upgrades, all system indicators met the design requirements and the system was officially put into full-time operation.

[0036] In summary, this embodiment illustrates the implementation effect of the zero-blue-light intelligent lighting control method in an urban park setting. Through scientific environmental demand analysis, this method establishes a 1800K–2200K blue-light-free lighting parameter system that conforms to the functional characteristics of each area while also considering ecological protection. The collaborative work of multiple types of sensors (including ecological environment monitoring sensors) constructs a complete environmental and ecological data sensing network, providing data support for intelligent control. The hybrid control strategy, combined with timing management and real-time compensation mechanisms, achieves precise adjustment of lighting parameters while prioritizing ecological friendliness. The signal linkage execution system, relying on optimized priority rules and intelligent algorithms, ensures that lighting control meets the needs of visitors while protecting the living habits of wild animals and plants and avoiding attracting mosquitoes. The comprehensive performance monitoring system, through the addition of ecological assessment indicators and continuous optimization, ensures the long-term stable operation of the system. Practice shows that this control method is highly effective in improving the quality of nighttime lighting in parks, reducing light pollution, lowering energy consumption, and protecting the park's ecological environment. It provides an effective solution for green lighting management in large public spaces and has significant value for widespread application.

[0037] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A zero-blue-light intelligent lighting system for outdoor areas, characterized in that, The system includes: Scene requirement definition module: Analyze the visual characteristics of the elderly, the activity trajectory of people in outdoor areas and the spectral characteristics of ambient light at night, determine the blue light control threshold, the illuminance level of each outdoor area and the color temperature range of 1800K~2200K, and output the scene function partition table, the basic lighting parameter table and the environmental blue light interference analysis report. Zero blue light hardware configuration module: It uses an adjustable spectrum light source composed of silicon-based yellow LEDs and silicon-based red LEDs, and is equipped with a spectrum detection unit, a human infrared sensor and a light intensity sensor, and deploys adaptive lamps according to the area. Hybrid control architecture module: Construct a hybrid control architecture including a digital timing layer and an analog compensation layer; the digital timing layer sets the switching time between night mode and late night mode according to the season, and introduces a transition smoothing control algorithm to calculate the transition time of the lighting state switching; the analog compensation layer introduces a blue light dynamic compensation algorithm to calculate the red LED current ratio compensation coefficient, and simultaneously introduces a color temperature steady-state adjustment algorithm to maintain a stable color temperature of 1800K~2200K, and outputs a control logic flowchart and control parameter configuration table; Signal linkage execution module: Receives ambient blue light intensity data, personnel activity status data and ambient natural light intensity data collected by sensors, introduces an intelligent illuminance adaptation algorithm to calculate the final output illuminance of each area, generates control commands according to preset signal priority rules, and transmits the control commands to the light source drive circuit in the hardware configuration module. Performance verification and optimization module: Test system operating parameters in real-world scenarios and adjust hardware layout, control parameters, and algorithm coefficients based on test results.

2. The zero-blue-light intelligent lighting system for outdoor areas according to claim 1, characterized in that, In the scenario requirement definition module, the blue-violet light control threshold is set as follows: blue-violet light intensity below 500nm = 0; the illuminance levels of each outdoor area are divided into main roads 20~25 lux, residential areas 10~15 lux, tunnels / bridges 30~50 lux, and historical areas 5~10 lux, with high illuminance areas corresponding to tunnels / bridges, medium illuminance areas corresponding to main roads, and low illuminance areas corresponding to residential areas and historical areas; the color temperature range is uniformly set to 1800K~2200K, with the color temperature of main roads set to 1800K~2000K, and the color temperature of residential areas, tunnels / bridges, and historical areas set to 1800K.

3. The zero-blue-light intelligent lighting system for outdoor areas according to claim 1, characterized in that, In the zero-blue-light hardware configuration module, the basic current ratio of the red LED and yellow LED of the blue-light-free adjustable spectral light source is adapted to the color temperature requirement of 1800K~2200K; the sampling frequency of the spectral detection unit is set to 1 time / second, and the detection accuracy of blue-violet light intensity below 500nm is ±2nm and the detection value must be ensured to be 0; the detection distance of the human infrared sensor is set to 5m-10m, and the false alarm rate is ≤1%; the detection range of the digital light intensity sensor is set to 0LUX-20000LUX.

4. The zero-blue-light intelligent lighting system for outdoor areas according to claim 1, characterized in that, In the hybrid control architecture module, the calculation formula for the transition smoothing control algorithm is as follows: ,in: This is the compensation coefficient for the proportion of current in the red LED. Given the current ambient blue light intensity, Blue light control threshold, The maximum environmental blue light tolerance value, This represents the difference between the current time and sunset time, reflecting how blue light sensitivity changes over time at night. This represents the actual illuminance in the current area. This is the standard illuminance for the area. This is the blue light sensitivity coefficient. The time decay coefficient, This is the illuminance influence coefficient.

5. The zero-blue-light intelligent lighting system for outdoor areas as described in claim 1, characterized in that, In the hybrid control architecture module, the calculation formula for the blue light dynamic compensation algorithm is as follows: ,in: The actual color temperature after compensation Based on color temperature, This is the color temperature adjustment coefficient. This is the compensation coefficient for the proportion of current in the red LED.

6. The zero-blue-light intelligent lighting system for outdoor areas according to claim 1, characterized in that, In the hybrid control architecture module, the calculation formula for the color temperature steady-state adjustment algorithm is: ,in: It is the final output illuminance. It is standard illuminance. It refers to the state of human presence. These are pattern coefficients. It is the intensity of ambient natural light. It is the weight of personnel influence.

7. A zero-blue-light intelligent lighting system for outdoor areas according to claim 1, characterized in that, In the signal linkage execution module, the calculation formula for the illuminance intelligent adaptation algorithm is as follows: ,in: It is the time for the gradual brightening and darkening transition. It is the target color temperature. This is the current color temperature. It is the target illuminance. This is the current illuminance. That is the standard illuminance.

8. A zero-blue-light intelligent lighting system for outdoor areas according to claim 1, characterized in that, In the signal linkage execution module, the preset signal priority rule is as follows: the ambient natural light intensity signal transmitted by the light intensity sensor has the highest priority, followed by the ambient blue light intensity signal transmitted by the spectral detection unit, then the human activity status signal transmitted by the human infrared sensor, and finally the mode signal output by the digital timing layer in the hybrid control architecture module; and when the ambient natural light intensity is >100 lux, a control command to turn off all outdoor area lighting equipment is generated.

9. A zero-blue-light intelligent lighting system for outdoor areas according to claim 1, characterized in that, The performance optimization module includes tests for: blue-violet light intensity below 500nm in each outdoor area after compensation, color temperature fluctuation range of 1800K to 2200K, illuminance adjustment delay time, light state switching transition time, and average daily energy consumption of the system. The parameter optimization cycle is set to once a month. After each parameter optimization, a 72-hour continuous stability test is required. Only after the test is passed can the optimized parameters be officially applied to the system.

10. A control method for zero-blue-light intelligent lighting in an outdoor area, the method being applicable to a zero-blue-light intelligent lighting system for an outdoor area as described in any one of claims 1 to 9, characterized in that, The specific steps of this method are as follows: S100, Scenario Requirements Definition: Analyze the visual characteristics of the elderly, the activity trajectory of people in outdoor areas, and the spectral characteristics of ambient light at night to determine the blue light control threshold, illuminance level, and color temperature range of 1800K to 2200K. S200, zero blue light hardware configuration: It uses silicon-based yellow LEDs and silicon-based red LEDs to form a blue light-free adjustable spectrum light source, and is equipped with a spectrum detection unit, human infrared sensor and light intensity sensor, and the lamps are deployed according to the area. S300, Hybrid Control Architecture Construction: Set up a digital timing layer and an analog compensation layer, and introduce transition smoothing control algorithm, blue light dynamic compensation algorithm and color temperature steady-state adjustment algorithm; S400, signal linkage execution: receives sensor data, introduces an intelligent illuminance adaptation algorithm to calculate the output illuminance, and generates control commands according to preset priorities; S500, performance verification and optimization: test system operating parameters and adjust hardware and algorithm parameters.

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