Light-directed methods and systems for inducing vitamin d synthesis, terminal and medium

Abstract

The application provides a light guide method and system for inducing vitamin D synthesis, a terminal and a medium, the method comprising: evaluating a sunlight deficiency risk level to which a user belongs; generating a multi-channel spectrum intervention strategy corresponding to the risk level; predicting a time period during which natural sunlight can be coordinated in the future, and defining the time period as a coordination time window; triggering a behavior guide event if the current time is within the coordination time window; the behavior guide event prompting the user to accept intervention light output by the multi-channel spectrum intervention strategy by generating a dynamic light guide path; the spectrum of the intervention light is in a non-ultraviolet light band, and is used for inducing vitamin D synthesis in the body. Under the premise of ensuring safety and comfort, the application uses light signals of specific non-ultraviolet bands to regulate related photosensitive pathways, thereby indirectly promoting the synthesis efficiency of vitamin D in the body.

Description

Technical Field

[0001] This application belongs to the field of intelligent lighting technology and relates to a light-guiding method and system, terminal and medium for inducing vitamin D synthesis. Background Technology

[0002] Vitamin D plays a vital role in calcium and phosphorus metabolism, bone health, and immune function regulation in the human body, and its synthesis in the skin is mainly dependent on natural sunlight exposure. However, with the acceleration of urbanization and the popularization of information-based lifestyles, modern people spend long periods of time indoors and significantly reduce their outdoor activities, leading to insufficient sunlight exposure and an increasingly widespread vitamin D deficiency problem.

[0003] Current healthy lighting technologies primarily focus on improving visual comfort, regulating mood, or synchronizing circadian rhythms, typically achieved by adjusting color temperature or illuminance. However, they lack systematic integration and optimization addressing the specific physiological rhythms, metabolic microenvironment, and user behavior patterns required for vitamin D synthesis. While some studies have attempted to promote vitamin D production through direct ultraviolet (UV) light exposure, these methods have significant limitations: firstly, UV radiation may cause photodamage, photoaging, and even increase the risk of skin cancer; secondly, it poses potential harm to the eyes, making it difficult to meet the requirements for long-term, safe, and stable application in everyday indoor environments.

[0004] Therefore, there is an urgent need for a novel light intervention strategy that can effectively induce vitamin D synthesis while avoiding the risks of ultraviolet radiation. Summary of the Invention

[0005] This application provides a light-guiding method and system, terminal and medium for inducing vitamin D synthesis, which solves the technical problems of insufficient safety and poor physiological adaptability in existing health lighting technologies.

[0006] In a first aspect, this application provides a light-guided method for inducing vitamin D synthesis, comprising:

[0007] Assess the user's level of insufficient sunlight risk;

[0008] A multi-channel spectral intervention strategy corresponding to the risk level is generated; the multi-channel spectral intervention strategy is used to output intervention light composed of several independent and controllable light source channels at different times of the day; the intervention light includes at least a white light channel, a short-wavelength visible light channel, and a long-wavelength visible light channel or a near-infrared light channel;

[0009] Predict the time period during which natural solar radiation can be coordinated in the future, and define it as the coordination time window;

[0010] If the current time window is within the aforementioned collaborative time window, a behavioral guidance event is triggered; the behavioral guidance event prompts the user to accept the intervention light output by the multi-channel spectral intervention strategy by generating a dynamic light guidance path; the spectrum of the intervention light is in the non-ultraviolet light band and is used to induce vitamin D synthesis in the body.

[0011] In one implementation of the first aspect, assessing a user's level of insufficient sunlight risk includes:

[0012] Acquire users' natural sunlight exposure data within a preset assessment period;

[0013] The natural sunlight exposure data is input into a pre-built sunlight deficiency risk assessment model, and the user's sunlight deficiency risk index is calculated. The sunlight deficiency risk index is a comprehensive quantitative indicator used to characterize the degree of natural sunlight deficiency of the user during the assessment period, as well as the degree of need for rhythmic light intervention.

[0014] Based on the insufficient sunshine risk index, users are classified into one of four ordered risk levels: Risk Level I, Risk Level II, Risk Level III, and Risk Level IV; wherein the higher the insufficient sunshine risk index, the higher the corresponding risk level.

[0015] One implementation of the first aspect also includes:

[0016] Obtain user behavior information; the behavior information includes the user's average daily cumulative sitting time and the percentage of time spent indoors during the daytime.

[0017] Based on the behavioral information, determine whether the following conditions are met simultaneously:

[0018] The average daily cumulative sedentary time exceeds a preset threshold;

[0019] The percentage of time spent indoors is higher than a preset threshold;

[0020] If so, then the behavior guidance event will be triggered proactively;

[0021] Otherwise, wait for the behavior guidance event to be triggered.

[0022] In one implementation of the first aspect, the interfering light includes at least a white light channel, a short-wavelength visible light channel, and a long-wavelength visible light channel or a near-infrared light channel; the method further includes:

[0023] Obtain long-term user feedback data; the long-term feedback data includes the user's responsiveness to the behavioral guidance event, evaluation information on lighting comfort, and information on the frequency of use of the lighting system;

[0024] Based on the long-term feedback data, calculate the intervention strategy effectiveness score and determine whether the intervention strategy effectiveness score is lower than a preset threshold.

[0025] If so, then perform the following enhanced intervention:

[0026] Increase the brightness gradient and guiding frequency of the dynamic light guiding path;

[0027] During the morning phase, the proportion of the short-wavelength visible light channel in the total light output is increased;

[0028] During the daytime phase, the duration of continuous illumination of the white light channel is extended;

[0029] Adjust the collaborative time window;

[0030] Otherwise, the current dynamic light guidance path and the multi-channel spectral intervention strategy remain unchanged.

[0031] In one implementation of the first aspect, the natural sunshine exposure data is input into a pre-constructed sunshine deficiency risk assessment model, and the user's sunshine deficiency risk index is calculated, including:

[0032] Collect data on users' time spent indoors, amount of indoor activity, duration of sedentary time indoors, and daily routines during the daytime.

[0033] Each piece of collected data was normalized.

[0034] Based on normalized sleep-wake cycle data, the user's actual circadian rhythm phase is calculated;

[0035] The actual circadian rhythm phase is compared with the target healthy circadian rhythm reference phase to obtain the circadian rhythm phase deviation;

[0036] The normalized indoor stay time, normalized indoor activity level, normalized sedentary time, and circadian rhythm phase deviation are weighted according to preset weighting coefficients to obtain the insufficient sunlight risk index.

[0037] In one implementation of the first aspect, the insufficient sunshine risk index is calculated using the following formula:

[0038] R = a×T_in + b×(1-A_day) + c×P_sed+ d×Δphase;

[0039] In the formula, T_in represents the normalized indoor stay duration;

[0040] A_day represents the normalized indoor activity level;

[0041] P_sed represents the normalized sedentary duration;

[0042] Δphase represents the phase deviation of the circadian rhythm;

[0043] a, b, c, and d are the weight coefficients of the corresponding items, and satisfy a+b+c+d=1.

[0044] In one implementation of the first aspect, the time period during which natural solar eclipse coordination can be performed in the future is predicted and defined as the coordination time window, which includes:

[0045] Acquire multi-source environmental data; the multi-source environmental data includes meteorological forecast information, solar position parameters, building geometric models, and surrounding shading information;

[0046] Based on the multi-source environmental data, predict the natural illuminance, duration of the natural illuminance, and color temperature of the natural light in the future time period.

[0047] The future time period that simultaneously meets the following conditions will be used as the collaborative time window:

[0048] The natural light intensity is higher than a first preset threshold;

[0049] The duration of the natural illuminance exceeds the second preset threshold;

[0050] The natural light color temperature is higher than a third preset threshold; and

[0051] The future time period overlaps with the user's preset active time period.

[0052] Secondly, this application provides a light-guiding system for inducing vitamin D synthesis, comprising:

[0053] The risk assessment module is used to assess the user's level of insufficient sunlight risk.

[0054] A spectral configuration module is used to generate a multi-channel spectral intervention strategy corresponding to the risk level; the multi-channel spectral intervention strategy is used to output intervention light composed of several independent and controllable light source channels at different times of the day; the intervention light includes at least a white light channel, a short-wavelength visible light channel, and a long-wavelength visible light channel or a near-infrared light channel;

[0055] The window prediction module is used to predict the time period in the future when natural sunshine can be coordinated, and defines it as the coordination time window;

[0056] The guidance trigger module is used to trigger a behavior guidance event when the current time window is in the collaborative time window; the behavior guidance event prompts the user to accept the intervention light output by the multi-channel spectral intervention strategy by generating a dynamic light guidance path; the spectrum of the intervention light is in the non-ultraviolet light band and is used to induce vitamin D synthesis in the body.

[0057] Thirdly, this application provides a terminal, including:

[0058] The memory is used to store computer programs;

[0059] A processor, the processor being configured to execute a computer program stored in the memory, so as to cause the terminal to perform any of the methods described above.

[0060] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any of the preceding claims.

[0061] As described above, the lighting intervention method, system, terminal, and medium based on insufficient sunlight risk assessment described in this application, by assessing the user's insufficient sunlight risk level, generates a matching multi-channel non-ultraviolet spectral intervention strategy, and combines it with the prediction of the future synergistic period of natural sunlight, dynamically triggers behavioral guidance events. Under the premise of ensuring safety and comfort, it uses light signals in specific non-ultraviolet bands to regulate related photosensitive pathways, thereby indirectly promoting the synthesis efficiency of vitamin D in the body, providing an innovative, feasible, and integrateable technical path for solving the vitamin D deficiency problem in modern populations. Attached Figure Description

[0062] Figure 1 The flowchart shown is a light-guided method for inducing vitamin D synthesis according to an embodiment of this application.

[0063] Figure 2 The flowchart shown is a process for assessing the risk level of insufficient sunlight according to an embodiment of this application.

[0064] Figure 3 The diagram shown is a flowchart of the calculation of the insufficient sunshine risk index according to an embodiment of this application.

[0065] Figure 4 The diagram shown is a flowchart illustrating the risk level classification according to an embodiment of this application.

[0066] Figure 5 The flowchart shown is a collaborative time window acquisition flowchart according to an embodiment of this application.

[0067] Figure 6 The diagram shown is a schematic representation of an optical guiding path according to an embodiment of this application.

[0068] Figure 7 The flowchart shown is a lighting intervention method based on insufficient sunlight risk assessment, which is another embodiment of this application.

[0069] Figure 8 The diagram shown is a flowchart of a lighting intervention method based on insufficient sunlight risk assessment, which is yet another embodiment of this application.

[0070] Figure 9 The diagram shown is a schematic representation of a light-guiding system for inducing vitamin D synthesis according to an embodiment of this application.

[0071] Figure 10 The diagram shown is a structural schematic of a terminal according to an embodiment of this application. Detailed Implementation

[0072] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0073] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. Therefore, the drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0074] The following embodiments of this application provide a light-guided method and system, terminal, and medium for inducing vitamin D synthesis. This application assesses a user's risk level of insufficient sunlight exposure, generates a matching multi-channel non-ultraviolet spectral intervention strategy, and dynamically triggers behavioral guidance events based on predictions of future synergistic periods of natural sunlight. While ensuring safety and comfort, it utilizes light signals in specific non-ultraviolet bands to modulate relevant photosensitive pathways, thereby indirectly promoting the efficiency of vitamin D synthesis in the body. This provides an innovative, feasible, and easily integrated technical approach to addressing vitamin D deficiency in modern populations.

[0075] The following will describe in detail the principle and implementation of a photoguided method and system, terminal and medium for inducing vitamin D synthesis according to this embodiment, so that those skilled in the art can understand the photoguided method and system, terminal and medium for inducing vitamin D synthesis according to this embodiment without creative effort.

[0076] Please see Figure 1 The diagram shows a flowchart of a light-guided method for inducing vitamin D synthesis according to an embodiment of this application.

[0077] like Figure 1 As shown, this embodiment provides a light-guided method for inducing vitamin D synthesis, including the following steps S100 to S400.

[0078] In step S100, the user's level of insufficient sunlight risk is assessed.

[0079] Please see Figure 2 The diagram shows a flowchart of the assessment of the risk level of insufficient sunlight according to an embodiment of this application.

[0080] like Figure 2 As shown, assessing a user's level of insufficient sunlight risk includes the following steps S101 to S103.

[0081] In step S101, the user's natural sunlight exposure data within a preset evaluation period is obtained.

[0082] The natural sunlight exposure data can be collected through wearable devices, ambient light sensors built into mobile terminals, geographic location information combined with meteorological databases, or user-reported schedules and outdoor activity records. Specifically, the natural sunlight exposure data includes daily effective sunshine duration, sunshine intensity, estimated skin exposure area, and geographical latitude and seasonal factors.

[0083] In step S102, the natural sunshine exposure data is input into the pre-constructed sunshine deficiency risk assessment model, and the user's sunshine deficiency risk index is calculated.

[0084] The insufficient sunlight risk assessment model can be constructed based on epidemiological studies, vitamin D synthesis kinetics, and environmental-physiological interaction mechanisms. It comprehensively considers environmental factors such as effective sunshine duration, ultraviolet index, skin exposure area, geographical latitude, seasonal changes, and atmospheric transparency. At the same time, it can integrate user individual characteristic parameters (such as Fitzpatrick skin photosensitivity type, age, body mass index BMI, and previous vitamin D levels) for weighted calculation.

[0085] The insufficient sunlight risk assessment model outputs an insufficient sunlight risk index, which is a comprehensive quantitative indicator used to characterize the degree of insufficient natural sunlight exposure for users during the assessment period, as well as the degree of need for rhythmic light intervention.

[0086] Please see Figure 3 The diagram shows a flowchart of the calculation of the insufficient sunshine risk index according to an embodiment of this application.

[0087] like Figure 3As shown, inputting the natural sunlight exposure data into a pre-constructed sunlight deficiency risk assessment model and calculating the user's sunlight deficiency risk index includes: collecting data on the user's indoor stay duration, indoor activity level, indoor sedentary time, and rest schedule during the daytime; normalizing each collected data item; calculating the user's actual circadian rhythm phase based on the normalized rest schedule data; comparing the actual circadian rhythm phase with the target healthy circadian rhythm reference phase to obtain the circadian rhythm phase deviation; and weighting the normalized indoor stay duration, normalized indoor activity level, normalized sedentary time, and the circadian rhythm phase deviation according to preset weighting coefficients to obtain the sunlight deficiency risk index.

[0088] In this embodiment, the circadian rhythm phase deviation refers to the degree of deviation of the user's actual circadian rhythm phase from the preset target healthy circadian rhythm reference phase. Typical manifestations include: sleep onset time is significantly later than the healthy reference sleep onset window; wake-up time is significantly delayed; daytime wakefulness peaks (such as cognitive performance, peak body temperature, peak activity) are generally delayed; and insufficient morning activation (such as being in a low-alert state for a long time after waking up and lacking morning light response behavior).

[0089] In one embodiment of this application, the insufficient sunshine risk index is calculated using the following formula:

[0090] R = a×T_in + b×(1-A_day) + c×P_sed+ d×Δphase;

[0091] In the formula, T_in represents the normalized indoor stay duration; A_day represents the normalized indoor activity level; P_sed represents the normalized sedentary duration; Δphase represents the circadian rhythm phase deviation; a, b, c, and d are the weight coefficients of the corresponding terms, and satisfy a+b+c+d=1. Each weight coefficient can be dynamically adjusted based on population age, region, seasonal characteristics, or machine learning optimization.

[0092] In this embodiment, the insufficient sunlight risk index serves as an important basis for assessing whether users have long-term lack of daytime light exposure, determining whether users have insufficient morning physiological rhythm activation, determining whether it is necessary to increase the frequency of behavioral guidance within the collaborative window, and determining whether it is necessary to shorten the subsequent strategy update cycle. It is not only used for static risk identification, but also serves as a core control parameter to drive the dynamic optimization of subsequent light intervention strategies, ensuring the timeliness, accuracy, and safety of intervention measures.

[0093] In this implementation, the phase deviation of the diurnal rhythm is introduced as a correction term for calculating the insufficient sunlight risk index. This method improves the physiological accuracy of the insufficient sunlight risk assessment by incorporating individual rhythm characteristics.

[0094] In step S103, based on the insufficient sunshine risk index, the user is classified into one of four ordered risk levels: risk level I, risk level II, risk level III, and risk level IV.

[0095] In this embodiment of the application, the higher the sunshine deficiency risk index, the higher the corresponding risk level.

[0096] Please see Figure 4 The diagram shown is a flowchart illustrating the risk level classification of an embodiment of this application.

[0097] like Figure 4 As shown, the insufficient sunlight risk index corresponding to risk level I is lower than the first threshold, indicating that the user has sufficient natural sunlight exposure. At this time, there is no need for enhanced guidance, and only basic rhythmic lighting is implemented.

[0098] The insufficient sunlight risk index corresponding to risk level II is between the first and second thresholds, indicating that the user has mild insufficient sunlight. At this time, the morning activation spectrum output can be enhanced and the duration of daytime white light can be extended.

[0099] The insufficient sunlight risk index corresponding to risk level III is between the second and third thresholds, indicating that the user's insufficient sunlight level is significant. At this time, the behavior guidance event needs to be triggered.

[0100] Risk level IV corresponds to a low sunshine risk index that is higher than the third threshold, indicating that the user is in a state of severe sunshine deficiency for a long period of time. At this time, it is necessary to increase the update frequency of the multi-channel spectral intervention strategy and strengthen individualized adjustment.

[0101] In this embodiment, the first threshold < the second threshold < the third threshold.

[0102] In step S200, a multi-channel spectral intervention strategy corresponding to the risk level is generated.

[0103] The multi-channel spectral intervention strategy is used to output intervention light consisting of several independent and controllable light source channels at different times of the day; the intervention light includes at least a white light channel, a short-wavelength visible light channel, and a long-wavelength visible light channel or a near-infrared light channel.

[0104] Specifically, the white light channel provides basic visual illumination, supporting normal daytime visual tasks and spatial perception; it also serves as a spectral base, supporting the superposition and modulation of other functional channels. The short-wavelength visible light channel is used to enhance the user's circadian rhythm arousal state during the morning or daytime, improving alertness and cognitive performance. The long-wavelength visible light channel or near-infrared light channel is used to create a low-circadian-interference light environment during the evening or nighttime.

[0105] The spectrum of the intervention light is in the non-ultraviolet light band, and it is used to induce vitamin D synthesis in the body.

[0106] In one embodiment of this application, generating a multi-channel spectral intervention strategy corresponding to the risk level includes:

[0107] If the risk level is I or II, active light intervention will not be triggered, or only a light health reminder will be sent, including a suggestion to engage in outdoor activities for at least 15 minutes during the natural morning light period.

[0108] If the risk level is III, the first-level spectral intervention mode is activated: cool white light with a color temperature of 5000–6500 K, an illuminance of 500–1000 lux, and a duration of 20–30 minutes is applied during the user's morning wakefulness period to enhance the light input to the suprachiasmatic nucleus and promote the forward shift of the rhythm.

[0109] If the risk level is IV, the second-level spectral intervention mode is activated: strong light intervention is applied during the morning period, followed by a medium-intensity light stimulation in the afternoon, while the intervention time window is dynamically adjusted based on the direction of the rhythm phase deviation. If a phase delay exists, the main intervention window is moved forward to within 30 minutes after the user actually wakes up to maximize the phase reset effect.

[0110] In this implementation, vitamin D synthesis is induced in non-ultraviolet light bands, avoiding the risk of skin damage caused by traditional ultraviolet light irradiation methods, and enabling users to obtain the light conditions required for vitamin D synthesis safely and for a long time in an indoor environment.

[0111] In step S300, the time period in which natural sunshine can be coordinated in the future is predicted and defined as the coordination time window.

[0112] Please see Figure 5 The flowchart shown is a collaborative time window acquisition flowchart according to an embodiment of this application.

[0113] like Figure 5 As shown, predicting the time period in the future when natural solar eclipse synergy can be carried out, and defining it as the synergy time window, includes the following steps S301 to S303.

[0114] In step S301, multi-source environmental data is acquired.

[0115] In one embodiment of this application, the multi-source environmental data includes weather forecast information, solar position parameters, building geometric models, and surrounding shading information.

[0116] Specifically, the weather forecast information includes cloud cover, precipitation probability, and atmospheric transparency; the solar position parameters include solar altitude angle, azimuth angle, and sunrise and sunset times; the building geometry model includes floor plan, window-to-wall ratio, and interior space layout; and the surrounding occlusion information includes shadow projection data of adjacent buildings, trees, or structures.

[0117] In step S302, based on the multi-source environmental data, the natural illuminance, the duration of the natural illuminance, and the natural light color temperature for a future time period are predicted.

[0118] Specifically, ray tracing or radiative transfer models can be used to predict the natural light illuminance level, the duration of that illuminance level, and the corresponding natural light color temperature variation curve within a predetermined time range (e.g., the next 24 hours). The prediction results can be refined to a time granularity of every 5–15 minutes to support high-precision scheduling.

[0119] In step S303, the future time period that simultaneously satisfies the following conditions is taken as the collaborative time window:

[0120] (1) The natural light intensity is higher than the first preset threshold;

[0121] (2) The duration of the natural light intensity exceeds the second preset threshold;

[0122] (3) The color temperature of the natural light is higher than the third preset threshold; and

[0123] (4) The future time period overlaps with the user's preset active time period.

[0124] In this implementation, by acquiring the collaborative time window, a collaborative strategy for artificial lighting and natural light resources can be planned in advance to optimize the bioavailability and energy efficiency of the indoor light environment.

[0125] Specifically, based on predicted collaborative time windows, the system can dynamically reduce or turn off artificial light sources during periods of sufficient natural light and meeting healthy illuminance thresholds, thereby lowering energy consumption. Simultaneously, it proactively guides users to window-side locations as they approach windows, increasing their chances of receiving effective sunlight exposure and supporting key physiological functions such as circadian rhythm regulation and vitamin D synthesis. Furthermore, this mechanism can be integrated with building shading, light-guiding, or smart glass systems to further enhance the controllability and utilization efficiency of natural light, achieving health-oriented goals.

[0126] In step S400, if the current time window is within the collaborative time window, a behavior guidance event is triggered.

[0127] In one embodiment of this application, the behavior guidance event prompts the user to accept the intervention light output by the multi-channel spectral intervention strategy by generating a dynamic light guidance path.

[0128] Please see Figure 6 The image shown is a schematic diagram of an optical guiding path according to an embodiment of this application.

[0129] The dynamic light path, through time-series control, brightness gradation, color temperature changes, or light flow effects, forms directional and guiding visual cues in space, thereby guiding users to move to the window area to receive natural light and promote vitamin D synthesis in the body.

[0130] It should be noted that the multi-channel spectral intervention strategy provided in this application exhibits different spectral proportions and spatial distribution characteristics in synergistic and non-synergistic time windows.

[0131] Within the coordinated time window, the lighting strategy emphasizes guidance and dynamically coordinates with external natural light: short-wavelength channels can be moderately enhanced, or the brightness of white light in local areas can be increased to attract users to move towards the window area; at the same time, the spatial lighting presents a non-uniform distribution, for example, the brightness is higher in the window area, and the path leading to the window area has a brightness gradient to form visual guidance.

[0132] During non-coordinated time windows, the lighting strategy focuses on maintaining the normal circadian rhythm and does not actively trigger behavioral guidance mechanisms; at this time, the overall lighting tends to be uniform and the spectral ratio remains stable, avoiding unnecessary interference to users.

[0133] Please see Figure 7 The diagram shows a flowchart of a lighting intervention method based on insufficient sunlight risk assessment, according to another embodiment of this application.

[0134] like Figure 7 As shown, the lighting intervention method based on insufficient sunlight risk assessment described in this application further includes the following steps S401 to S404.

[0135] In step S401, user behavior information is obtained.

[0136] The behavioral information includes the user's average daily cumulative sedentary time and the percentage of time spent indoors during the daytime.

[0137] In step S402, based on the behavioral information, it is determined whether the following conditions are met simultaneously:

[0138] (1) The average daily cumulative sedentary time exceeds a preset threshold;

[0139] (2) The percentage of time spent indoors is higher than a preset threshold;

[0140] In step S403, if so, the behavior guidance event is actively triggered;

[0141] In step S404, otherwise wait for the behavior guidance event to be triggered.

[0142] In this implementation, based on users' long-term sedentary behavior and daytime indoor activity time, changes in the light environment are used to guide users to engage in short-term activities, thereby increasing the probability of natural sunlight synergy.

[0143] Please see Figure 8 The diagram shows a flowchart of a lighting intervention method based on insufficient sunlight risk assessment, according to another embodiment of this application.

[0144] like Figure 8 As shown, the lighting intervention method based on insufficient sunlight risk assessment described in this application further includes the following steps S404 to S407.

[0145] In step S404, long-term user feedback data is obtained.

[0146] The long-term feedback data includes user responsiveness to the behavioral guidance events, evaluation information on lighting comfort, and information on the frequency of use of the lighting system.

[0147] In step S405, based on the long-term feedback data, the effectiveness score of the intervention strategy is calculated, and it is determined whether the effectiveness score of the intervention strategy is lower than a preset threshold.

[0148] In step S406, if so, the following enhanced intervention operation is performed:

[0149] (1) Increase the brightness gradient and guiding frequency of the dynamic light guiding path;

[0150] (2) During the morning phase, increase the proportion of the short-wavelength visible light channel in the total light output;

[0151] (3) During the daytime phase, extend the duration of continuous illumination of the white light channel;

[0152] (4) Adjust the collaborative time window;

[0153] In step S407, otherwise the current dynamic light guiding path and the multi-channel spectral intervention strategy remain unchanged.

[0154] In some embodiments, if a user does not respond to behavioral guidance for a preset number of consecutive days, the system reduces the guidance frequency and increases the difference in light path brightness to improve the perceptibility of guidance while ensuring comfort.

[0155] Please see Figure 9 The image shown is a schematic diagram of a light-guiding system for inducing vitamin D synthesis according to an embodiment of this application.

[0156] like Figure 9 As shown in the figure, this application provides a light-guided system for inducing vitamin D synthesis, including a risk assessment module, a spectral configuration module, a window prediction module, and a guidance triggering module.

[0157] The risk assessment module is used to assess the user's level of insufficient sunlight risk.

[0158] The spectral configuration module is used to generate a multi-channel spectral intervention strategy corresponding to the risk level. The multi-channel spectral intervention strategy is used to output intervention light consisting of several independently controllable light source channels at different times throughout the day; the intervention light includes at least a white light channel, a short-wavelength visible light channel, and a long-wavelength visible light channel or a near-infrared light channel.

[0159] The window prediction module is used to predict the time period in the future when natural sunshine can be coordinated, and defines it as the coordination time window.

[0160] The guidance triggering module is used to trigger a behavior guidance event when the current time window is in the collaborative time window; the behavior guidance event prompts the user to accept the intervention light output by the multi-channel spectral intervention strategy by generating a dynamic light guidance path; the spectrum of the intervention light is in the non-ultraviolet light band and is used to induce vitamin D synthesis in the body.

[0161] It should be noted that the structure and principle of the risk assessment module, the spectral configuration module, the window prediction module and the guidance triggering module described in this embodiment correspond one-to-one with the steps in the light-guided method for inducing vitamin D synthesis described above, so they will not be repeated here.

[0162] The photoguided system for inducing vitamin D synthesis provided in this application can implement the photoguided method for inducing vitamin D synthesis described in this application. However, the implementation device for the photoguided method for inducing vitamin D synthesis described in this application includes, but is not limited to, the structure of the photoguided system for inducing vitamin D synthesis listed in this embodiment. All structural modifications and substitutions of the prior art made based on the principles of this application are included within the protection scope of this application.

[0163] Please see Figure 10 The image shown is a schematic diagram of the structure of a terminal according to an embodiment of this application.

[0164] like Figure 10 As shown in the figure, this application provides a terminal, including a memory and a processor.

[0165] The memory is used to store computer programs.

[0166] The processor is configured to execute a computer program stored in the memory, so that the terminal performs any of the methods described above.

[0167] like Figure 10 As shown, the terminal of this application is presented in the form of a general-purpose computing device. The components of the terminal may include, but are not limited to: a memory for storing computer programs; one or more processors for executing the computer programs stored in the memory to cause the terminal to perform any of the methods described above; and a bus connecting different system components (including memory and processing units).

[0168] A bus refers to one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. Examples of these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0169] Terminals typically include various computer system-readable media. These media can be any available media that can be accessed by the terminal, including volatile and non-volatile media, and removable and non-removable media.

[0170] The memory may include computer system readable media in the form of volatile memory, such as random access memory (RAM) and / or cache memory. The terminal may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system may be used to read and write non-removable, non-volatile magnetic media (…). Figure 10 Not shown; usually referred to as a "hard drive"). Although Figure 10 As not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to a bus via one or more data media interfaces. The memory may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this application.

[0171] A program / utility having a set (at least one) of program modules can be stored, for example, in memory. Such program modules include, but are not limited to, an operating system, one or more applications, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules typically perform the functions and / or methods described in the embodiments of this application.

[0172] The terminal can also communicate with one or more external devices (e.g., keyboard, pointing device, display, etc.), one or more devices that enable user interaction with the terminal, and / or any device that enables the terminal to communicate with one or more other computing devices (e.g., network interface card, modem, etc.). This communication can be performed via input / output (I / O) interfaces. Furthermore, the terminal can communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via a network adapter. Figure 10 As shown, the network adapter communicates with other modules of the terminal via a bus. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the terminal, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0173] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the methods described in any of the above embodiments. Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing a processor. The program can be stored in a computer-readable storage medium, which is a non-transitory medium, such as random access memory, read-only memory, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disk, and any combination thereof. The storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital video disc (DVD)), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0174] In the embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, or methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules / units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection of apparatuses or modules or units may be electrical, mechanical, or other forms.

[0175] The modules / units described as separate components may or may not be physically separate. The components shown as modules / units may or may not be physical modules; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules / units can be selected to achieve the objectives of the embodiments of this application, depending on actual needs. For example, the functional modules / units in the various embodiments of this application may be integrated into one processing module, or each module / unit may exist physically separately, or two or more modules / units may be integrated into one module / unit.

[0176] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0177] The descriptions of the processes or structures corresponding to the above figures each have their own emphasis. For parts of a process or structure that are not described in detail, please refer to the relevant descriptions of other processes or structures.

[0178] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A light-guided method for inducing vitamin D synthesis, characterized in that, include: Assess the user's level of insufficient sunlight risk; Generate a multi-channel spectral intervention strategy corresponding to the risk level; The multi-channel spectral intervention strategy is used to output intervention light consisting of several independent and controllable light source channels at different times of the day; the intervention light includes at least a white light channel, a short-wavelength visible light channel, and a long-wavelength visible light channel or a near-infrared light channel; Predict the time period during which natural solar radiation can be coordinated in the future, and define it as the coordination time window; If the current time window is within the aforementioned collaborative time window, a behavioral guidance event is triggered; the behavioral guidance event prompts the user to accept the intervention light output by the multi-channel spectral intervention strategy by generating a dynamic light guidance path; the spectrum of the intervention light is in the non-ultraviolet light band and is used to induce vitamin D synthesis in the body.

2. The method according to claim 1, characterized in that, Assessing a user's level of insufficient sunlight risk includes: Acquire users' natural sunlight exposure data within a preset assessment period; The natural sunlight exposure data is input into a pre-built sunlight deficiency risk assessment model, and the user's sunlight deficiency risk index is calculated. The sunlight deficiency risk index is a comprehensive quantitative indicator used to characterize the degree of natural sunlight deficiency of the user during the assessment period, as well as the degree of need for rhythmic light intervention. Based on the insufficient sunshine risk index, users are classified into one of four ordered risk levels: Risk Level I, Risk Level II, Risk Level III, and Risk Level IV; wherein the higher the insufficient sunshine risk index, the higher the corresponding risk level.

3. The method according to claim 1, characterized in that, Also includes: Obtain user behavior information; the behavior information includes the user's average daily cumulative sitting time and the percentage of time spent indoors during the daytime. Based on the behavioral information, determine whether the following conditions are met simultaneously: The average daily cumulative sedentary time exceeds a preset threshold; The percentage of time spent indoors is higher than a preset threshold; If so, then the behavior guidance event will be triggered proactively; Otherwise, wait for the behavior guidance event to be triggered.

4. The method according to claim 1, characterized in that, The intervention light includes at least a white light channel, a short-wavelength visible light channel, and a long-wavelength visible light channel or a near-infrared light channel; the method further includes: Obtain long-term user feedback data; the long-term feedback data includes the user's responsiveness to the behavioral guidance event, evaluation information on lighting comfort, and information on the frequency of use of the lighting system; Based on the long-term feedback data, calculate the intervention strategy effectiveness score and determine whether the intervention strategy effectiveness score is lower than a preset threshold. If so, then perform the following enhanced intervention: Increase the brightness gradient and guiding frequency of the dynamic light guiding path; During the morning phase, the proportion of the short-wavelength visible light channel in the total light output is increased; During the daytime phase, the duration of continuous illumination of the white light channel is extended; Adjust the collaborative time window; Otherwise, the current dynamic light guidance path and the multi-channel spectral intervention strategy remain unchanged.

5. The method according to claim 2, characterized in that, The natural sunshine exposure data is input into a pre-built sunshine deficiency risk assessment model, and the user's sunshine deficiency risk index is calculated, including: Collect data on users' time spent indoors, amount of indoor activity, duration of sedentary time indoors, and daily routines during the daytime. Each piece of collected data was normalized. Based on normalized sleep-wake cycle data, the user's actual circadian rhythm phase is calculated; The actual circadian rhythm phase is compared with the target healthy circadian rhythm reference phase to obtain the circadian rhythm phase deviation; The normalized indoor stay time, normalized indoor activity level, normalized sedentary time, and circadian rhythm phase deviation are weighted according to preset weighting coefficients to obtain the insufficient sunlight risk index.

6. The method according to claim 5, characterized in that, The insufficient sunshine risk index is calculated using the following formula: R = a×T_in + b×(1-A_day) + c×P_sed+ d×Δphase; In the formula, T_in represents the normalized indoor stay duration; A_day represents the normalized indoor activity level; P_sed represents the normalized sedentary duration; Δphase represents the phase deviation of the circadian rhythm; a, b, c, and d are the weight coefficients of the corresponding items, and satisfy a+b+c+d=1.

7. The method according to claim 1, characterized in that, Predict the time period during which natural solar eclipse coordination can be carried out in the future, and define it as the coordination time window, including: Acquire multi-source environmental data; the multi-source environmental data includes meteorological forecast information, solar position parameters, building geometric models, and surrounding shading information; Based on the multi-source environmental data, predict the natural illuminance, duration of the natural illuminance, and color temperature of the natural light in the future time period. The future time period that simultaneously meets the following conditions will be used as the collaborative time window: The natural light intensity is higher than a first preset threshold; The duration of the natural illuminance exceeds the second preset threshold; The natural light color temperature is higher than a third preset threshold; and The future time period overlaps with the user's preset active time period.

8. A light-guiding system for inducing vitamin D synthesis, characterized in that, include: The risk assessment module is used to assess the user's level of insufficient sunlight risk. A spectral configuration module is used to generate a multi-channel spectral intervention strategy corresponding to the risk level. The multi-channel spectral intervention strategy is used to output intervention light consisting of several independent and controllable light source channels at different times of the day; the intervention light includes at least a white light channel, a short-wavelength visible light channel, and a long-wavelength visible light channel or a near-infrared light channel; The window prediction module is used to predict the time period in the future when natural sunshine can be coordinated, and defines it as the coordination time window; The guidance trigger module is used to trigger a behavior guidance event when the current time window is in the collaborative time window; the behavior guidance event prompts the user to accept the intervention light output by the multi-channel spectral intervention strategy by generating a dynamic light guidance path; the spectrum of the intervention light is in the non-ultraviolet light band and is used to induce vitamin D synthesis in the body.

9. A terminal, characterized in that, include: The memory is used to store computer programs; A processor for executing a computer program stored in the memory to cause the terminal to perform the method of any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

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