Full-color-gamut digital curing illumination method and full-color-gamut digital curing illumination system

Abstract

The invention provides a full-color-gamut digital curing illumination method and system, and relates to the technical field of medical illumination, and the method comprises the steps: forming a medical curing light password according to the influence of different illumination parameters on visual and non-visual functions (such as rhythm, emotion, sleep and the like); based on the medical treatment healing light password, developing a digital treatment healing illumination module meeting preset illumination intensity, color temperature range, spectral energy distribution, color rendering and anti-dazzle requirements; performing intelligent regulation and control on a digital healing illumination module according to the scene parameters so as to perform healing illumination on the target user; monitoring the illumination quality of healing illumination, user behaviors and biological indexes in real time, and forming a dynamic healing illumination database according to a monitoring result; and analyzing the healing illumination database, generating a standardized illumination strategy library, and performing scene multiplexing. The illumination quality and the physical and psychological health of the user can be improved, a personalized and standardized illumination strategy can be realized through real-time monitoring and data analysis, and better healing experience is provided for the user.

Description

Technical Field

[0001] The present invention relates to the field of medical lighting technology, and in particular to a full-color gamut digital healing lighting method and system. Background Art

[0002] With the development of modern medical technology, the role of light in medical facilities has gradually expanded from simple lighting to health promotion and psychological healing. Studies have shown that light has a significant impact on the regulation of human visual and non-visual functions (such as rhythm, mood, sleep, etc.). Especially during nuclear medical examinations and treatments, patients and medical staff often experience visual fatigue, emotional tension and rhythm disorders due to environmental pressure and long-term exposure to uncomfortable light.

[0003] In the existing technology, most medical lighting systems only focus on lighting functions, lack the comprehensive application of lighting rhythm, color temperature, dynamic light and shadow, and color light therapy effects, and cannot meet the complex lighting needs in various medical scenarios. In addition, the lack of real-time monitoring and dynamic evaluation of lighting effects makes it difficult to form effective lighting strategy standards and data assets. Therefore, there is an urgent need for a digital healing lighting method that can achieve full color gamut control, dynamic healing, real-time monitoring, and intelligent reuse to comprehensively enhance the application value of nuclear medical lighting. Summary of the invention

[0004] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide a full-color gamut digital therapeutic lighting method and system, which can not only improve the lighting quality and the physical and mental health of users, but also realize personalized and standardized lighting strategies through real-time monitoring and data analysis, providing users with a better quality healing experience.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A full-color gamut digital healing lighting method, comprising:

[0007] Forming a medical healing light code based on the effects of different lighting parameters on visual and non-visual functions; the lighting parameters include light intensity, color temperature, spectral energy distribution and media healing content;

[0008] Based on the medical healing light code, develop a digital healing light module that meets the preset light intensity, color temperature range, spectral energy distribution, color rendering, and anti-glare requirements;

[0009] The digital healing lighting module is intelligently regulated according to preset scene parameters to provide healing lighting to the target user; the intelligent regulation includes editing, calling and linkage of lighting intensity, color temperature, spectral energy distribution and dynamic media content;

[0010] Monitor the light quality, user behavior and biological indicators of therapeutic light in real time, and form a dynamic therapeutic light database based on the monitoring results;

[0011] Analyze the therapeutic lighting database, generate a standardized lighting strategy library and reuse scenes.

[0012] Preferably, the media therapy content includes static media, dynamic media and simulated natural light and shadow.

[0013] Preferably, a medical healing light code is formed according to the effects of different lighting parameters on visual and non-visual functions (such as rhythm, mood, sleep, etc.), including:

[0014] The illumination parameters are set as independent variables, and the vision and the non-visual functions (such as rhythm, emotion, sleep, etc.) are used as dependent variables to conduct an illumination intervention experiment, so as to obtain an experimental data set and a corresponding time series data set;

[0015] Performing data cleaning on the experimental data set to obtain a cleaned data set;

[0016] Analyze the change trend of the dependent variable before and after the light intervention according to the cleaned data set and the time series data set to obtain an analysis result;

[0017] Extracting parameter combinations that have significant effects on visual and non-visual functions (such as rhythm, emotion, sleep, etc.) according to the analysis results;

[0018] The medical healing light code is obtained by modeling based on the parameter combination and the effects of visual and non-visual functions (such as rhythm, emotion, sleep, etc.).

[0019] Preferably, performing data cleaning on the experimental data set to obtain a cleaned data set includes:

[0020] Grouping the experimental data set according to a preset experimental period to obtain multiple data groups;

[0021] The difference coefficient between the current data group and the previous data group is calculated in sequence; the difference coefficient calculation formula is: Among them, p X,Y is the coefficient of difference, cov(X,Y) represents the covariance between the current data set X and the previous data set Y, α X represents the mean of the current data set X, β Y Represents the mean of the previous data group Y;

[0022] Determine whether the value of the coefficient of difference is within a preset range;

[0023] If the value of the difference coefficient is not within the preset range, the corresponding data group is removed;

[0024] If the value of the difference coefficient is within a preset range, the corresponding data set is retained until all data sets are traversed to obtain the cleaned data set.

[0025] Preferably, based on the medical healing light code, a digital healing light module is developed that meets the preset requirements of light intensity, color temperature range, spectral energy distribution, color rendering, and anti-glare, including:

[0026] Determine the design goals and technical indicators of each of the design goals according to the medical healing light code; the design goals include: light intensity, color temperature range, spectral energy distribution, color rendering and anti-glare requirements;

[0027] According to the design goals and technical indicators, an optical system, a circuit and a driving system, and a control system are constructed; the control system is used to realize single-lamp control, group control, dimming function, dynamic content support, and intelligent linkage of external devices for the digital healing lighting module;

[0028] The optical system, the circuit and the driving system and the control system are assembled to obtain the digital healing lighting module.

[0029] Preferably, the digital healing illumination module is intelligently regulated according to preset scene parameters to provide healing illumination to the target user, including:

[0030] The scene parameters are defined according to the medical healing light code and actual application requirements; the scene parameters include: light intensity, color temperature, spectral energy distribution, dynamic media content, and linkage parameters;

[0031] Designing lighting scenes according to the scene parameters; the lighting scenes include: working scenes, rhythm adjustment scenes, mood relief scenes and sleep improvement scenes;

[0032] According to the lighting scene and the scene parameters, lighting intensity regulation, color temperature regulation, spectral energy distribution regulation, dynamic media content regulation and linkage control are performed.

[0033] Preferably, the user's behavior includes: activity trajectory, expression changes, posture and sight direction.

[0034] Preferably, the biological indicators include: heart rate, blood oxygen, salivary enzymes, sleep quality and rhythm indicators.

[0035] A full-color gamut digital healing lighting system, comprising:

[0036] A light code module, used to form a medical healing light code according to the effects of different lighting parameters on visual and non-visual functions (such as rhythm, mood, sleep, etc.); the lighting parameters include light intensity, color temperature, spectral energy distribution and media healing content;

[0037] A lighting module, used to develop a digital healing lighting module that meets preset requirements of light intensity, color temperature range, spectral energy distribution, color rendering, and anti-glare based on the medical healing light code;

[0038] A lighting control module, which is used to intelligently control the digital healing lighting module according to preset scene parameters to provide healing lighting to the target user; the intelligent control includes editing, calling and linkage of lighting intensity, color temperature, spectral energy distribution and dynamic media content;

[0039] A database generation module is used to monitor the light quality, user behavior and biological indicators of the healing light in real time, and form a dynamic healing light database based on the monitoring results;

[0040] The light strategy library module is used to analyze the healing light database, generate a standardized light strategy library and perform scene reuse.

[0041] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0042] The present invention provides a full-color gamut digital healing lighting method and system, the method comprising: forming a medical healing light code according to the effects of different lighting parameters on visual and non-visual functions (such as rhythm, mood, sleep, etc.); the lighting parameters include light intensity, color temperature, spectral energy distribution and media healing content; based on the medical healing light code, developing a digital healing lighting module that meets preset light intensity, color temperature range, spectral energy distribution, color rendering, and anti-glare requirements; intelligently regulating the digital healing lighting module according to preset scene parameters to provide healing lighting for target users; the intelligent regulation includes editing, calling and linking light intensity, color temperature, spectral energy distribution and dynamic media content; real-time monitoring of the lighting quality, user behavior and biological indicators of the healing lighting, and forming a dynamic healing lighting database according to the monitoring results; analyzing the healing lighting database, generating a standardized lighting strategy library and performing scene reuse. The present invention can not only improve the lighting quality and the physical and mental health of users, but also realize personalized and standardized lighting strategies through real-time monitoring and data analysis, providing users with a better healing experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0044] Figure 1 A flow chart of a method provided by an embodiment of the present invention;

[0045] Figure 2 A schematic diagram of the technical concept provided for an embodiment of the present invention.

[0046] Figure 3 A schematic diagram of the system structure provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] The purpose of the present invention is to provide a full-color gamut digital therapeutic lighting method and system, which can not only improve the lighting quality and the physical and mental health of users, but also realize personalized and standardized lighting strategies through real-time monitoring and data analysis, providing users with a better quality healing experience.

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0050] like Figure 1 As shown, the present invention provides a full-color gamut digital healing lighting method, comprising:

[0051] Step 100: Forming a medical healing light code according to the effects of different lighting parameters on visual and non-visual functions (such as rhythm, mood, sleep, etc.); lighting parameters include light intensity, color temperature, spectral energy distribution and media healing content;

[0052] Step 200: Based on the medical healing light code, develop a digital healing lighting module that meets the preset light intensity, color temperature range, spectral energy distribution, color rendering, and anti-glare requirements;

[0053] Step 300: Intelligently adjust the digital healing lighting module according to preset scene parameters to provide healing lighting to the target user; the intelligent adjustment includes editing, calling and linkage of lighting intensity, color temperature, spectral energy distribution and dynamic media content;

[0054] Step 400: Monitor the light quality, user behavior and biological indicators of the healing light in real time, and form a dynamic healing light database based on the monitoring results;

[0055] Step 500: Analyze the healing lighting database, generate a standardized lighting strategy library and perform scene reuse.

[0056] Preferably, the media therapy content includes static media, dynamic media and simulated natural light and shadow.

[0057] like Figure 2As shown in the figure, the light formula is a hardware module developed based on the light code, and the core is the full-color gamut healing light module. The module has high power, multi-channel control, multi-primary color full-color gamut luminescence capabilities, supports a wide color temperature range, and achieves high-quality light output through micro-prism anti-glare design and digital spectrum adjustment. In addition, the module supports the playback of dynamic media content and can adapt to different medical scenarios. The design of the light formula ensures the accuracy and diversity of the lighting, providing a comfortable light environment for patients and medical staff. The light control module realizes intelligent control of the lighting module through the DMX512 protocol and the Bluetooth Mesh network. Functions include switch control, dimming (brightness 0% ~ 100%), color adjustment (color temperature adjustment), spectrum adjustment (spectral energy distribution adjustment), dynamic light and shadow playback, music linkage, etc. The control system can dynamically adjust the lighting parameters according to the requirements of the light code and light formula to meet the healing lighting needs such as vision, emotion, rhythm and sleep. For example, in the treatment scene, the system can automatically switch to the high-brightness white light mode; in the emotional relief scene, the system can play warm light dynamic light and shadow and link soothing music. The lighting control module also supports real-time adjustment of healing dynamic lighting scenes to improve the healing effect. The light platform is the hub of the entire system, responsible for the collection, analysis and scene management of healing lighting data. The platform connects the lighting module and user devices through wireless or wired networks, and collects lighting parameters, user behaviors (such as activity trajectories, expression changes, sight directions, etc.) and biological indicators (such as heart rate, blood oxygen, sleep quality, etc.) in real time. These data are uploaded to the cloud or local server for analysis to generate an effect evaluation report of healing lighting, and optimize light passwords and light formulas. In addition, the light platform supports the distribution and dynamic adjustment of healing lighting scenes to achieve personalized and intelligent lighting management. The light research module analyzes the healing lighting data, extracts the laws of the impact of lighting on patients and medical staff, and forms a standardized lighting strategy library. These strategies are applied to different medical scenarios, including general hospitals, oncology hospitals, proton therapy centers, radiotherapy centers, etc. The achievement application module deploys light codes, light formulas and light control technologies into actual medical environments, providing patients with healing light that relieves anxiety, relieves stress and improves sleep, while improving the work efficiency and biorhythm health of medical staff. For example, in a nuclear medicine diagnostic center, the lighting module can ensure the safe operation of equipment through a non-electromagnetic interference design while providing patients with a comfortable light environment. Patients can relieve tension and medical pressure through healing light, and gain an active healing experience in an environment linked by dynamic light and music; medical staff can improve work efficiency, relieve work pressure and improve their own biorhythms through optimized lighting design. The light design module provides customized lighting solutions based on the needs of different spaces, individuals and time periods to meet the diverse needs of visual, rhythmic, emotional, sleep and other healing lighting in medical scenarios.

[0058] This embodiment integrates the complete technology chain from light code definition to light formula design, light control implementation, light platform management, light research analysis and application of results, demonstrating the full process application of healing light technology in medical scenarios. Through precise light control and intelligent management, the system can provide scientific and efficient healing light solutions for patients and medical staff, while promoting the industrialization of medical light technology.

[0059] Specifically, step 100 of this embodiment includes:

[0060] Step 101, determine the research objectives and experimental design. This embodiment first defines the research objectives, that is, to explore the specific effects of lighting parameters (illuminance, color temperature, color light and media therapy content) on visual functions (such as visual clarity, contrast sensitivity), non-visual functions (such as circadian rhythm, melatonin secretion), emotional states (such as anxiety, relaxation) and sleep quality (such as deep sleep ratio, sleep time). When designing the experiment, take the lighting parameters as independent variables, set different combinations (such as high illumination + high color temperature, low illumination + low color temperature, dynamic color light, dynamic media, etc.), and measure human reactions (such as physiological indicators, psychological state) as dependent variables. The experimental subjects need to cover groups of different ages, genders and health conditions to ensure the universality of the results.

[0061] Step 102, set up the experimental environment and equipment. In this embodiment, a controllable lighting laboratory is constructed, equipped with lighting equipment that can adjust the illumination, color temperature, color light and dynamic media content. The laboratory needs to be equipped with monitoring equipment, including visual testers (to measure visual functions), biosensors (to monitor non-visual functions such as heart rate, blood oxygen, and melatonin levels), emotion assessment tools (such as emotion scales, facial expression recognition systems) and sleep monitoring equipment (such as polysomnography PSG). At the same time, ensure that the temperature, humidity, noise and other conditions of the experimental environment are constant to eliminate external interference.

[0062] Step 103, implement lighting intervention and data collection. In the experiment, this embodiment performs lighting intervention on the subjects according to the preset lighting parameter combination, and each combination lasts for a certain time (such as 30 minutes to 1 hour). During the intervention process, the visual function data (such as visual clarity, glare perception), non-visual function data (such as melatonin secretion level, heart rate change), emotional state data (such as anxiety score, relaxation level) and sleep data (such as deep sleep ratio, sleep time) of the subjects are collected in real time. At the same time, the subjective feedback of the subjects (such as lighting comfort, emotional change perception) is recorded to supplement the objective data.

[0063] Step 104, data analysis and pattern extraction. This embodiment cleans, standardizes and analyzes the collected data, and uses statistical methods (such as correlation analysis and regression analysis) to explore the relationship between lighting parameters and human body reactions. For example, analyze the impact of different color temperatures on emotional scores, or the effect of different illumination on the proportion of deep sleep. Through cluster analysis or machine learning algorithms, the patterns of lighting parameters and human body reactions are extracted to form the best parameter combinations under different lighting scenes (such as "low illumination + low color temperature promotes sleep", "high illumination + high color temperature improves concentration").

[0064] Step 105, forming a medical healing light code. This embodiment extracts the lighting parameters that have a significant impact on visual and non-visual functions (such as rhythm, mood, sleep, etc.) based on the data analysis results to form a medical healing light code. The light code is presented in a standardized form, including lighting parameters (such as illumination range, color temperature range, spectral energy distribution, dynamic media content) and their corresponding healing effects (such as relieving anxiety, improving sleep, regulating circadian rhythms, etc.). These light codes can serve as a scientific basis for the subsequent development of lighting modules and intelligent regulation, providing accurate lighting solutions for different medical scenarios.

[0065] Demonstration, the light code research in this embodiment is the theoretical basis of the entire system. Through experimental research on the effects of different lighting parameters (such as illumination, color temperature, spectral distribution, dynamic light and shadow, etc.) on vision, non-visual functions and emotions, the lighting parameter combination suitable for nuclear medical scenes is determined. These research results directly guide the design and development of the lighting module.

[0066] For example, in this implementation, the illumination parameter settings have the following data ranges:

[0067] Illuminance range: Determine the design goal of maximum illumination at the center of 3 meters ≥ 5000lx and maximum illumination at the eye position ≥ 2000lx;

[0068] Color temperature range: Determine the color temperature range of white light 2200K ~ 8000K;

[0069] Spectral distribution: clarify the spectrum requirements for RGB full-color gamut luminescence;

[0070] Dynamic light and shadow requirements: provide design basis for static and dynamic light and shadow changes;

[0071] Color rendering requirements: Ensure that the white light color rendering index (CRI) is ≥80.

[0072] Preferably, a medical healing light code is formed according to the effects of different lighting parameters on visual and non-visual functions (such as rhythm, mood, sleep, etc.), including:

[0073] The illumination parameter is set as an independent variable, and the vision, the non-visual function, the emotion and the sleep are used as dependent variables to conduct an illumination intervention experiment, so as to obtain an experimental data set and a corresponding time series data set;

[0074] Performing data cleaning on the experimental data set to obtain a cleaned data set;

[0075] Analyze the change trend of the dependent variable before and after the light intervention according to the cleaned data set and the time series data set to obtain an analysis result;

[0076] Extracting parameter combinations that have significant effects on visual and non-visual functions (such as rhythm, emotion, sleep, etc.) according to the analysis results;

[0077] The medical healing light code is obtained by modeling based on the parameter combination and the effects of visual and non-visual functions (such as rhythm, emotion, sleep, etc.).

[0078] Specifically, step 200 in this embodiment includes:

[0079] Step 201, light intervention experiment design and data collection. First, this embodiment sets the light parameters (such as illumination, color temperature, color light and dynamic media content) as independent variables, and sets non-visual functions such as visual function (such as contrast sensitivity, glare perception) and rhythmic state (such as circadian rhythm, melatonin secretion level), emotional state (such as anxiety score, relaxation level) and sleep quality (such as deep sleep ratio, sleep time) as dependent variables to design a light intervention experiment. The experiment needs to set different combinations of light parameters (such as high illumination + cold light, low illumination + warm light, dynamic color light, etc.), and perform light intervention on the subjects. During the intervention process, multi-dimensional data are collected, including visual test data (such as visual acuity, visual fatigue), biological indicators (such as heart rate, blood oxygen, melatonin level), emotional data (such as facial expression recognition, emotional scale score) and sleep monitoring data (such as polysomnography PSG record). In addition, time series data before and after the intervention are collected to record the dynamic change trend of the dependent variable and provide a basis for subsequent analysis.

[0080] Step 202, data cleaning and processing. In this embodiment, the collected experimental data set is cleaned to remove outliers, missing values ​​and noise data to ensure the accuracy and completeness of the data. First, statistical methods (such as the 3σ principle or the box plot method) are used to identify and remove outliers; second, interpolation or mean filling methods are used to process missing values; finally, the data is processed by standardization or normalization methods to ensure that data of different dimensions are comparable. At the same time, the time series data is preprocessed to remove interference signals (such as environmental noise, equipment errors) to ensure the smoothness and stability of the time series data. The cleaned data set will serve as the basis for subsequent analysis.

[0081] Step 203, analysis of the changing trend of dependent variables before and after light intervention. Based on the cleaned data set and the time series data set, this embodiment analyzes the changing trend of dependent variables (non-visual functions such as vision and rhythm, emotion, sleep, etc.) before and after light intervention. Statistical analysis methods (such as paired t-test, Wilcoxon signed rank test) are used to compare the data differences before and after the intervention; at the same time, time series analysis methods (such as ARIMA model, trend decomposition) are used to evaluate the dynamic changes of dependent variables over time. For example, analyze the effect of light intervention on the level of melatonin secretion, or the changing trend of different color temperatures on emotion scores. Through trend analysis, the significant impact of light intervention on the dependent variable is identified, providing a basis for parameter optimization.

[0082] Step 204, extract the lighting parameter combinations with significant effects, and extract the lighting parameter combinations that have significant effects on visual and non-visual functions (such as rhythm, mood, sleep, etc.) according to the results of the change trend analysis of the dependent variable. Use multiple regression analysis or machine learning methods (such as random forests, decision trees) to quantify the degree of influence of lighting parameters on the dependent variables, and screen out key lighting parameters that significantly affect the dependent variables. For example, it is determined that "low illumination + warm light" has the most significant effect on improving sleep quality, or that "high illumination + cold light" has the best effect on improving visual clarity. Ultimately, multiple parameter combinations are formed, and each combination corresponds to a specific healing effect.

[0083] Step 205, establish a mathematical model of lighting parameters and human body reactions, and establish a mathematical model of lighting parameters and human body reactions based on the extracted significant lighting parameter combinations and their corresponding visual and non-visual functions (such as rhythm, emotion, sleep, etc.). Use regression modeling (such as multivariate linear regression, nonlinear regression) or machine learning modeling (such as support vector machine, neural network) methods to construct a mapping relationship between lighting parameters and dependent variables. For example, establish a regression model of color temperature, illumination and emotion score, or a prediction model of light intensity, spectral distribution and sleep depth. The model needs to be cross-validated and tested with independent samples to ensure its prediction accuracy and generalization ability.

[0084] Step 206: Form a medical healing light code. Based on the modeling results, extract the medical healing light code and standardize it into an application guide. The light code is centered on parameter combinations and healing effects, for example: "Low illumination (≤10lx) + warm light (color temperature ≤2700K) is suitable for sleep promotion scenes", "High illumination (≥500lx) + cold light (color temperature ≥6500K) is suitable for concentration improvement scenes". In addition, the light code can be supplemented with dynamic content (such as playing soft flowing clouds, tree shadows and other dynamic light and shadows) to enhance the healing effect. Ultimately, the medical healing light code can serve as the basis for subsequent lighting module development, scene design and intelligent regulation, providing a scientific basis for achieving precise light therapy.

[0085] Preferably, performing data cleaning on the experimental data set to obtain a cleaned data set includes:

[0086] Grouping the experimental data set according to a preset experimental period to obtain multiple data groups;

[0087] The difference coefficient between the current data group and the previous data group is calculated in sequence; the difference coefficient calculation formula is: Among them, p X,Y is the coefficient of difference, cov(X,Y) represents the covariance between the current data set X and the previous data set Y, α X represents the mean of the current data set X, β Y Represents the mean of the previous data group Y;

[0088] Determine whether the value of the coefficient of difference is within a preset range;

[0089] If the value of the difference coefficient is not within the preset range, the corresponding data group is removed;

[0090] If the value of the difference coefficient is within a preset range, the corresponding data set is retained until all data sets are traversed to obtain the cleaned data set.

[0091] Specifically, since the collected data may be affected by its own parameters or environmental factors, the measured value collected at a certain moment may deviate greatly from the actual value. Therefore, this embodiment can screen out abnormal monitoring values ​​through the difference coefficient, thereby ensuring the accuracy of the collected data.

[0092] Preferably, based on the medical healing light code, a digital healing light module is developed that meets the preset requirements of light intensity, color temperature range, spectral energy distribution, color rendering, and anti-glare, including:

[0093] Determine the design goals and technical indicators of each of the design goals according to the medical healing light code; the design goals include: light intensity, color temperature range, spectral energy distribution, color rendering and anti-glare requirements;

[0094] According to the design goals and technical indicators, an optical system, a circuit and a driving system, and a control system are constructed; the control system is used to realize single-lamp control, group control, dimming function, dynamic content support, and intelligent linkage of external devices for the digital healing lighting module;

[0095] The optical system, the circuit and the driving system and the control system are assembled to obtain the digital healing lighting module.

[0096] Specifically, step 300 of this embodiment includes:

[0097] Step 301, determine the design goals and technical indicators. This embodiment clarifies the design goals and technical indicators of the digital healing lighting module based on the medical healing light code. The color rendering requirements of white light must meet a high color rendering index (CRI ≥ 90) to ensure that the light source can truly restore the color of the object; the color temperature range must cover the full threshold color temperature (minimum color temperature ≤ 2200K, maximum color temperature ≥ 8000K) to meet the needs of different scenarios; color light requires support for accurate mixing of multi-primary color LEDs including but not limited to RGB, and provides full-spectrum energy distribution output; anti-glare design needs to reduce the glare index (UGR < 19) through a diffuser, microprism or shading structure; illumination requirements must meet the 3-meter center high illumination value (horizontal maximum illumination ≥ 5000lx, eye position maximum illumination ≥ 2000lx); dynamic light and shadow support must achieve the playback of static patterns and dynamic video content. According to these goals, specific technical indicators are formulated to provide guidance for subsequent system design.

[0098] Step 302, construct an optical system, circuit and drive system and control system. This embodiment designs the optical system, circuit and drive system and control system according to the design goals and technical indicators. The optical system adopts a high color rendering LED light source, combined with a lens, a diffuser and a microprism design to achieve uniform lighting, anti-glare and dynamic light and shadow effects; the circuit and drive system must support multi-channel PWM dimming to ensure accurate control of light intensity, color temperature and spectral energy distribution, and at the same time have efficient heat dissipation and wide voltage input capabilities; the control system must support single lamp control, group control, dimming function (light intensity 0% ~ 100%, color temperature 2200K ~ 8000K, including but not limited to RGB and other multi-primary color LED proportional adjustment spectral energy distribution), dynamic content support (static pattern and dynamic video playback) and external equipment intelligent linkage (such as music, fragrance, temperature control equipment). The control system can be developed based on an embedded MCU, combined with wireless communication modules (such as Wi-Fi, Bluetooth) to achieve remote control and multi-device linkage.

[0099] Step 303, system assembly and module integration. In this embodiment, the optical system, circuit and drive system and control system are assembled to complete the integration of the digital healing lighting module. The optical system is combined with the LED light source module to ensure that the light is evenly distributed and meets the anti-glare requirements; the circuit and drive system are connected to the light source module to provide stable power drive and dimming support; the control system is connected to the drive system through a communication interface to achieve intelligent control of the lighting module. After the assembly is completed, the module is subjected to performance testing, including color rendering, color temperature range, spectral energy distribution range, anti-glare effect, dynamic light and shadow playback effect and intelligent linkage function to ensure that the module meets the design goals and technical indicators. Finally, a high-performance, intelligent digital healing lighting module is obtained, which can be widely used in medical, psychotherapy and health management scenarios.

[0100] Preferably, the digital healing illumination module is intelligently regulated according to preset scene parameters to provide healing illumination to the target user, including:

[0101] The scene parameters are defined according to the medical healing light code and actual application requirements; the scene parameters include: light intensity, color temperature, spectral energy distribution, dynamic media content, and linkage parameters;

[0102] Designing lighting scenes according to the scene parameters; the lighting scenes include: examination scenes, treatment scenes, emotional scene and sleep promotion scene;

[0103] According to the lighting scene and the scene parameters, lighting intensity regulation, color temperature regulation, spectral energy distribution regulation, dynamic media content regulation and linkage control are performed.

[0104] Specifically, step 400 of this embodiment includes:

[0105] Step 401, define scene parameters, including light intensity, color temperature, spectral energy distribution, dynamic media content and linkage parameters according to the medical healing light code and actual application requirements. The light intensity parameter needs to be set to different ranges according to the scene requirements (e.g., high light intensity of 500lx is required for the inspection scene, and low light intensity of ≤10lx is required for the sleep promotion scene); the color temperature parameter needs to cover 2200K~8000K (e.g., neutral light 4000K is used for the treatment scene, and warm light 3000K is used for the mood relief scene); the spectral energy distribution parameter needs to support full color gamut adjustment of multi-primary color LED light sources including but not limited to RGB (e.g., blue light is used to relieve anxiety, and red light is used to promote blood circulation); dynamic media content includes static patterns (e.g., soft tree shadows) and dynamic videos (e.g., flowing water, sunrise and sunset); linkage parameters include synchronous control with music, fresh air, and temperature control equipment. By defining these parameters, a basis is provided for the design of different lighting scenes.

[0106] Step 402, design the lighting scene. This embodiment designs the lighting schemes for the work scene, rhythm adjustment scene, mood relief scene and sleep improvement scene according to the scene parameters. The inspection scene requires high light intensity (500lx) and cold light (color temperature 5700K) to ensure visual clarity; the treatment scene requires medium light intensity (300lx) and neutral light (color temperature 4000K) to provide a comfortable light environment; the mood relief scene requires low light intensity (50lx) and warm light (color temperature 3000K), and orange light or pink light is added to relieve anxiety, while playing soft dynamic light and shadow; the sleep promotion scene requires extremely low light intensity (≤10lx) and warm light (color temperature 2200K~2700K) to simulate sunset light, and promote melatonin secretion through the gradual darkening of dynamic light and shadow. The design of each scene needs to be combined with user needs and healing goals to ensure the pertinence and effectiveness of the lighting effect.

[0107] Step 403, realize intelligent control. This embodiment realizes light intensity control, color temperature control, spectral energy distribution control, dynamic media content control and linkage control through the digital healing lighting module according to the lighting scene and scene parameters. Light intensity control realizes stepless dimming through PWM technology to ensure smooth changes in light intensity; color temperature control realizes precise adjustment by mixing the proportion of warm white light and cold white light LEDs; spectral energy distribution control generates target spectral energy distribution by independently controlling the proportion of multi-primary color LEDs including but not limited to RGB; dynamic media content control plays static patterns or dynamic videos through LED matrices or projection devices; linkage control synchronizes with external devices (such as music players, fragrance machines, temperature control systems) through Internet of Things technologies (such as Wi-Fi, Bluetooth) to realize multi-sensory healing experience. Through the intelligent control system, the lighting parameters can be adjusted in real time to meet the needs of different scenes and provide accurate healing lighting for the target users.

[0108] Demonstratively, light intensity control achieves stepless dimming through PWM (pulse width modulation) technology. PWM controls the light intensity output by changing the on-off time ratio (duty cycle) of the LED light source, thereby achieving smooth adjustment from 0% to 100%. In order to avoid the impact of flicker on the user's vision and health, the frequency of PWM needs to be set in the high frequency range. In addition, light intensity control needs to be combined with ambient light sensors to automatically adjust the light intensity according to the real-time ambient light intensity to ensure the comfort of light. For example, in the inspection scene, the system will automatically adjust the light intensity to 500lx, while in the sleep promotion scene, the light intensity will be reduced to less than 10lx to simulate the dimming process of natural light. Color temperature control is achieved by mixing the proportion of warm white light LED (low color temperature) and cold white light LED (high color temperature). The control system generates the target color temperature by independently adjusting the current or PWM duty cycle of warm white light and cold white light according to the preset color temperature parameters (such as 2200K~8000K). For example, in the emotional relief scene, the system will increase the proportion of warm white light to generate warm light of 2700K~3000K; while in the inspection scene, the system will increase the proportion of cold white light to generate cold light of 5300K~6500K. In addition, color temperature control needs to be combined with the user's circadian rhythm, and the color temperature is dynamically adjusted (such as gradually transitioning from cold light to warm light) to simulate the changes in natural light to help users adjust their biological clocks. Spectral energy distribution control achieves full-color gamut luminescence by independently controlling the proportion of multi-primary color LEDs including but not limited to RGB. The control system generates the target spectral energy distribution by adjusting the current or PWM signal of multi-primary color LEDs including but not limited to RGB according to the spectral energy distribution requirements defined in the medical healing light code (such as increasing blue light to promote concentration and increasing red light to promote blood circulation). For example, in the treatment scene, the system will increase the proportion of red light to generate a spectral energy distribution with a wavelength range of 620~750nm; while in the emotional relief scene, the system will increase the proportion of green light or blue light to generate a spectral energy distribution with a wavelength range of 495~570nm. In addition, spectral energy distribution control needs to be combined with real-time feedback from spectral energy distribution sensors to ensure that the output spectral energy distribution is consistent with the target spectral energy distribution. Dynamic media content control uses LED matrices or projection devices to play static patterns and dynamic videos. The control system loads preset dynamic content (such as flowing water, tree shadows, sunrise and sunset, etc.) according to scene requirements, and enhances the healing effect by adjusting the light intensity, color and playback speed of the content. For example, in the mood relief scene, the system plays soft dynamic tree shadows and creates a relaxing atmosphere through gradually changing light and shadow effects; in the sleep promotion scene, the system plays a dynamic video of the sunset and gradually reduces the light intensity and color temperature to help users fall asleep. The playback of dynamic content needs to be adjusted synchronously with the lighting parameters (such as light intensity and color temperature) to ensure the coordination of the overall effect.Linkage control realizes intelligent linkage between lighting modules and external devices through Internet of Things technologies (such as Wi-Fi and Bluetooth). The control system synchronizes and controls devices such as music players, fragrance machines, and temperature control systems according to scene parameters. For example, in the emotion relief scene, the system will play soft dynamic light and shadow, and at the same time link the music player to play soothing background music, and control the fragrance machine to release relaxing fragrance (such as lavender essential oil); in the sleep promotion scene, the system will gradually reduce the light intensity and color temperature, and at the same time link the temperature control system to lower the indoor temperature to create a suitable sleeping environment. Linkage control requires real-time communication between devices through unified protocols (such as MQTT and Zigbee) to ensure the synchronization and consistency of the multi-sensory healing experience.

[0109] Through the above five control methods, the digital healing lighting module can dynamically adjust the lighting effect according to the preset scene parameters, and interact with external devices to provide the target users with accurate and comfortable healing lighting experience.

[0110] Preferably, the user's behavior includes: activity trajectory, expression changes, posture and sight direction.

[0111] Preferably, the biological indicators include: heart rate, blood oxygen, salivary enzymes, sleep quality and rhythm indicators.

[0112] Specifically, step 400 of this embodiment includes:

[0113] Step 401, light quality monitoring. Light quality monitoring collects light parameters in real time through sensors installed in the light module, including light intensity, color temperature, spectral energy distribution and dynamic light and shadow effects. The light intensity sensor is used to detect whether the light intensity meets the preset value, the color temperature sensor monitors whether the color temperature range of the light source is stable, and the spectral energy distribution sensor analyzes in real time whether the spectral energy distribution meets the requirements of the healing light code. In addition, the playback effect of dynamic light and shadow is monitored by a camera or optical sensor to ensure the smoothness and synchronization of the playback of dynamic content. All light quality data will be uploaded to the database in real time to provide a basis for subsequent analysis.

[0114] Step 402: User behavior monitoring. User behavior monitoring collects data such as user's activity trajectory, expression changes, posture and sight direction through cameras and sensors installed in the lighting environment. The activity trajectory records the user's movement path in the lighting environment through infrared or ultra-wideband (UWB) positioning technology; expression changes analyze the user's emotional state (such as smiling, frowning, etc.) through facial recognition technology; posture monitoring captures the user's body posture (such as standing, sitting, lying) through a depth camera; sight direction records the user's gaze point through eye tracking technology to analyze the user's attention to the lighting area. These behavioral data can reflect the user's adaptability and comfort to the lighting environment.

[0115] Step 403, biological indicator monitoring, biological indicator monitoring collects data such as the user's heart rate, blood oxygen, salivary enzymes, sleep quality and rhythm indicators through wearable devices or non-contact sensors. Heart rate and blood oxygen are monitored in real time through smart bracelets or optical sensors; salivary enzymes (such as cortisol levels) are collected regularly through portable biological sampling equipment to reflect the user's stress level; sleep quality is monitored through polysomnography (PSG) or smart mattresses to monitor the proportion of deep sleep, sleep time, etc.; rhythm indicators (such as melatonin secretion levels) are obtained through biochemical testing or indirect calculations. These biological indicators can quantify the impact of light on the user's physiological state.

[0116] Step 404, data integration and real-time feedback, integrates the light quality, user behavior and bio-indicator data into the dynamic healing light database, and realizes real-time updates through data stream processing technology. The database uses timestamps to synchronize data to ensure the correlation between lighting parameters and user responses. The real-time feedback mechanism dynamically adjusts lighting parameters (such as light intensity, color temperature, and spectral energy distribution) by analyzing monitoring data to optimize the healing effect. For example, when the user's heart rate is too high or the expression shows anxiety, the system can reduce the light intensity or switch to a warm light scene to relieve stress.

[0117] Step 405: Construction of a dynamic healing lighting database, which stores all monitoring data in the form of structured and unstructured data. Structured data includes numerical records of lighting parameters, user behavior, and biological indicators; unstructured data includes dynamic light and shadow content, user expression videos, etc. The database uses distributed storage and big data technology to support efficient data query and analysis. Through long-term accumulation, the database can form behavioral and biological response patterns of different user groups in different lighting scenarios, providing data support for subsequent lighting strategy optimization.

[0118] Optionally, step 500 of this embodiment specifically includes:

[0119] Step 501: Data cleaning and preprocessing: Clean and preprocess the data in the dynamic healing light database to remove outliers, duplicate data, and missing data to ensure the accuracy and completeness of the data. Behavioral data (such as activity trajectories and expression changes) are de-noised by clustering algorithms; biological indicator data (such as heart rate and blood oxygen) are interpolated to fill missing values ​​and normalized; light quality data are smoothed by time series analysis to ensure the stability of light parameters. The cleaned data set provides a reliable basis for subsequent analysis.

[0120] Step 502: Association analysis between lighting parameters and user reactions. Use statistical analysis and machine learning methods to explore the association between lighting parameters (such as light intensity, color temperature, spectral energy distribution) and user behavior and biological indicators. For example, correlation analysis is used to determine the relationship between color temperature and user emotion scores; regression analysis is used to quantify the effect of light intensity on sleep depth; and cluster analysis is used to identify the preference patterns of different user groups for lighting (such as anxious users prefer low light intensity warm light). These analysis results can reveal the specific effects of lighting on user vision, non-visual functions, emotions, and sleep.

[0121] Step 503, extract standardized lighting strategies, and based on the analysis results, extract the lighting parameter combinations that significantly affect user behavior and biological indicators, and generate standardized lighting strategies. Each strategy includes lighting parameters (such as lighting intensity range, color temperature range, spectral energy distribution), applicable scenarios (such as mood relief, sleep promotion), and target effects (such as reducing anxiety scores and increasing the proportion of deep sleep). For example, the "mood relief scenario" strategy may include low light intensity (50~100lx), warm light (color temperature 2700K~3000K), dynamic tree shadow content, and green light enhancement (wavelength 520nm). These strategies are stored in the form of patterns for subsequent calls and reuse.

[0122] Step 504, scene reuse and optimization, apply standardized lighting strategies to different scenarios (such as examination scenarios, treatment scenarios, mood relief scenarios, and sleep promotion scenarios), and optimize according to real-time monitoring data. For example, in a treatment scenario, if the user's heart rate and blood oxygen do not achieve the expected improvement effect, the system can dynamically adjust the spectral energy distribution or increase dynamic light and shadow content. Through scene reuse, lighting strategies can be quickly deployed to improve the adaptability and healing effect of the lighting module.

[0123] Step 505, iterative update of the lighting strategy library. As the dynamic healing lighting database continues to expand, the lighting strategy library is iteratively updated regularly. By analyzing the new data, optimize the existing strategies or develop new strategy templates. For example, develop personalized lighting strategies for specific user groups (such as the elderly and anxious patients); design special lighting solutions for new scenario requirements (such as remote office and online education). Continuous optimization of the lighting strategy library can improve the scientificity and practicality of healing lighting and provide support for more application scenarios.

[0124] For example, for specific user groups such as the elderly and anxious patients, the lighting strategy needs to be personalized in combination with their physiological and psychological characteristics. For example, for the elderly, due to their decreased visual sensitivity and circadian rhythm disorder, the lighting strategy can use a high color rendering light source (CRI ≥ 90) to enhance visual clarity, set medium and high light intensity (3000-5000lx) and neutral light (color temperature 3500K-4500K) to reduce visual fatigue, and provide cold light (color temperature 6500K-8000K) in the morning to help regulate circadian rhythm. For anxious patients, the lighting strategy can create a relaxing environment through low light intensity (50-100lx), warm light (color temperature 2700K-3000K) and dynamic light and shadow (such as soft flowing water or tree shadows), while enhancing green light (wavelength 492-577nm) to relieve anxiety and promote psychological calmness. Personalized strategies also need to dynamically adjust lighting parameters in combination with real-time monitored biological indicators (such as heart rate and skin galvanic response) to ensure maximum healing effects. In response to new scenarios such as remote office and online education, lighting solutions need to take into account both efficiency improvement and health protection. In remote office scenarios, lighting strategies can use high light intensity (500lx) and cold light (color temperature 5700K) to improve concentration, while combining low-frequency dynamic light and shadow (such as slight changes in light and dark) to reduce visual fatigue; gradually transition to neutral light (color temperature 4000K~4500K) in the afternoon to help relieve the pressure of long-term work. In online education scenarios, lighting solutions need to provide students with a uniform high color rendering light source, with the light intensity set to a medium level (300lx) and the color temperature between 4000K~4500K to avoid interference with attention caused by too cold or too warm light, and add short-term dynamic light and shadow (such as simulating natural light changes during class breaks) to help students relax eye fatigue. Both scenarios can be combined with intelligent linkage devices (such as screen brightness adjustment and background music playback) to provide a more efficient and healthier lighting environment.

[0125] like Figure 3 As shown, corresponding to the above method, this embodiment also provides a full-color gamut digital healing lighting system, including:

[0126] A light code module, used to form a medical healing light code according to the effects of different lighting parameters on visual and non-visual functions (such as rhythm, mood, sleep, etc.); the lighting parameters include light intensity, color temperature, spectral energy distribution and media healing content;

[0127] A lighting module, used to develop a digital healing lighting module that meets preset requirements of light intensity, color temperature range, spectral energy distribution, color rendering, and anti-glare based on the medical healing light code;

[0128] A lighting control module, which is used to intelligently control the digital healing lighting module according to preset scene parameters to provide healing lighting to the target user; the intelligent control includes editing, calling and linkage of lighting intensity, color temperature, spectral energy distribution and dynamic media content;

[0129] A database generation module is used to monitor the light quality, user behavior and biological indicators of the healing light in real time, and form a dynamic healing light database based on the monitoring results;

[0130] Light strategy library module, used to analyze the healing light database, generate a standardized light strategy library and reuse scenes

[0131] The beneficial effects of the present invention are as follows:

[0132] (1) The present invention can provide each user with a personalized lighting plan to meet the specific needs of different users by analyzing the effects of different lighting parameters on visual and non-visual functions (such as rhythm, mood, sleep, etc.); the present invention can adjust the lighting parameters in real time according to the user's feedback and physiological indicators to ensure the optimization of the lighting effect.

[0133] (2) The digital healing lighting module developed by the present invention meets the requirements of color rendering, color temperature range and anti-glare, provides a high-quality lighting environment, reduces visual fatigue and discomfort; supports full-color gamut luminescence, can simulate the changes in natural light and shadow, and enhance the user's visual experience and psychological comfort.

[0134] (3) The present invention can effectively improve the user's emotional state and alleviate psychological problems such as anxiety and depression by adjusting lighting parameters; according to the user's biorhythm, it provides a suitable lighting environment to promote the secretion of melatonin and help the user improve sleep quality.

[0135] (4) Through real-time monitoring of lighting quality, user behavior and biological indicators, the present invention can obtain user feedback in a timely manner, form a dynamic healing lighting database, and provide data support for subsequent lighting strategy optimization; the monitoring data provides a scientific basis for the evaluation and optimization of lighting effects, ensuring the effectiveness and reliability of the lighting plan.

[0136] (5) The present invention generates a standardized lighting strategy library by analyzing the healing lighting database, which is convenient for reuse in different scenarios and improves the implementation efficiency of lighting plans. It can quickly adapt to different medical and life scenarios, provide flexible lighting solutions, and meet diverse application needs.

[0137] (6) The method of the present invention combines knowledge from multiple disciplines such as optics, psychology, and biomedicine, and promotes the development of digital healing technology; it can be widely used in multiple fields such as medical care, elderly care, office, education, psychotherapy, home, factory, and business, and has good market prospects and social value.

[0138] (7) The present invention can provide a richer sensory experience and enhance the user's sense of immersion and participation through the editing and linkage of dynamic media content; the user can participate in the adjustment of the lighting plan according to his or her own needs and feedback, thereby improving the user's satisfaction and experience.

[0139] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0140] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A full-color gamut digital healing lighting method, characterized in that: include: According to the influence of different lighting parameters on visual and non-visual functions, a medical healing light code is formed; The lighting parameters include lighting intensity, color temperature, spectral energy distribution and media therapy content; Based on the medical healing light code, develop a digital healing light module that meets the preset light intensity, color temperature range, spectral energy distribution, color rendering, and anti-glare requirements; The digital healing lighting module is intelligently regulated according to preset scene parameters to provide healing lighting to the target user; the intelligent regulation includes editing, calling and linkage of lighting intensity, color temperature, spectral energy distribution and dynamic media content; Monitor the light quality, user behavior and biological indicators of therapeutic light in real time, and form a dynamic therapeutic light database based on the monitoring results; Analyze the therapeutic lighting database, generate a standardized lighting strategy library and reuse scenes.

2. The full-color gamut digital healing illumination method according to claim 1, characterized in that: The media therapy content includes static media, dynamic media and simulated natural light and shadow.

3. The full-color gamut digital healing lighting method according to claim 1, characterized in that: Medical healing light codes are formed based on the effects of different lighting parameters on visual and non-visual functions (such as rhythm, mood, sleep, etc.), including: The illumination parameters are set as independent variables, and the vision and the non-visual functions (such as rhythm, emotion, sleep, etc.) are used as dependent variables to conduct an illumination intervention experiment, so as to obtain an experimental data set and a corresponding time series data set; Performing data cleaning on the experimental data set to obtain a cleaned data set; Analyze the change trend of the dependent variable before and after the light intervention according to the cleaned data set and the time series data set to obtain an analysis result; Extracting parameter combinations that have significant effects on visual and non-visual functions (such as rhythm, emotion, sleep, etc.) according to the analysis results; The medical healing light code is obtained by modeling based on the parameter combination and the effects of visual and non-visual functions (such as rhythm, emotion, sleep, etc.).

4. The full-color gamut digital healing lighting method according to claim 3, characterized in that: The experimental data set is cleaned to obtain a cleaned data set, including: Grouping the experimental data set according to a preset experimental period to obtain multiple data groups; The difference coefficient between the current data group and the previous data group is calculated in sequence; the difference coefficient calculation formula is: Among them, p X,Y is the coefficient of difference, cov(X,Y) represents the covariance between the current data set X and the previous data set Y, α X represents the mean of the current data set X, β Y Represents the mean of the previous data group Y; Determine whether the value of the coefficient of difference is within a preset range; If the value of the difference coefficient is not within the preset range, the corresponding data group is removed; If the value of the difference coefficient is within a preset range, the corresponding data set is retained until all data sets are traversed to obtain the cleaned data set.

5. The full-color gamut digital healing lighting method according to claim 1, characterized in that: Based on the medical healing light code, a digital healing light module is developed that meets the preset requirements of light intensity, color temperature range, spectral energy distribution, color rendering, and anti-glare, including: Determine the design goals and technical indicators of each of the design goals according to the medical healing light code; the design goals include: light intensity, color temperature range, spectral energy distribution, color rendering and anti-glare requirements; According to the design goals and technical indicators, an optical system, a circuit and a driving system, and a control system are constructed; the control system is used to realize single-lamp control, group control, dimming function, dynamic content support, and intelligent linkage of external devices for the digital healing lighting module; The optical system, the circuit and the driving system and the control system are assembled to obtain the digital healing lighting module.

6. The full-color gamut digital healing lighting method according to claim 1, characterized in that: The digital healing light module is intelligently regulated according to preset scene parameters to provide healing light to the target user, including: The scene parameters are defined according to the medical healing light code and actual application requirements; the scene parameters include: light intensity, color temperature, spectral energy distribution, dynamic media content and linkage parameters; Designing lighting scenes according to the scene parameters; the lighting scenes include: working scenes, rhythm adjustment scenes, mood relief scenes and sleep improvement scenes; According to the lighting scene and the scene parameters, lighting intensity regulation, color temperature regulation, spectral energy distribution regulation, dynamic media content regulation and linkage control are performed.

7. The full-color gamut digital healing lighting method according to claim 1, characterized in that: The user's behavior includes: activity trajectory, expression changes, posture and sight direction.

8. The full-color gamut digital healing lighting method according to claim 1, characterized in that: The biological indicators include: heart rate, blood oxygen, salivary enzymes, sleep quality and rhythm indicators.

9. A full-color digital healing lighting system, characterized in that: include: A light code module, used to form a medical healing light code according to the effects of different lighting parameters on visual and non-visual functions (such as rhythm, mood, sleep, etc.); the lighting parameters include light intensity, color temperature, spectral energy distribution and media healing content; A lighting module, used to develop a digital healing lighting module that meets preset requirements of light intensity, color temperature range, spectral energy distribution, color rendering, and anti-glare based on the medical healing light code; A lighting control module, which is used to intelligently control the digital healing lighting module according to preset scene parameters to provide healing lighting to the target user; the intelligent control includes editing, calling and linkage of lighting intensity, color temperature, spectral energy distribution and dynamic media content; A database generation module is used to monitor the light quality of the healing light, the user's behavior and biological indicators in real time, and form a dynamic healing light database based on the monitoring results; The lighting strategy library module is used to analyze the healing lighting database, generate a standardized lighting strategy library and perform scene reuse.

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