Biological rhythm-based intelligent light regulation method and system, terminal and medium

Abstract

The application provides a biological rhythm-based intelligent light regulation method and system, a terminal and a medium, the method comprising: acquiring behavior regularity information of a user; analyzing the behavior regularity information based on a pre-constructed biological rhythm model, and outputting corresponding biological rhythm state parameters; and dynamically generating a multi-channel spectrum configuration strategy covering a whole day cycle based on the biological rhythm state parameters; wherein the multi-channel spectrum configuration strategy is used to output a combined spectrum composed of a plurality of independently controllable light source channels in different time periods of the whole day; the combined spectrum is in a non-ultraviolet light band; and a light control instruction is generated based on the multi-channel spectrum configuration strategy. The application can dynamically infer the biological rhythm state of a user based on individual behavior data of the user, and generate an all-weather, multi-channel, non-ultraviolet spectrum configuration strategy accordingly.

Description

Technical Field

[0001] This application belongs to the field of intelligent lighting technology, and relates to an intelligent lighting control method and system, terminal and medium based on biological rhythms. Background Technology

[0002] With the fast pace of modern life and longer hours spent indoors, people's opportunities to be exposed to natural sunlight have significantly decreased, leading to an increasingly common problem of circadian rhythm disorders. Circadian rhythms are a series of nearly 24-hour periodic physiological, behavioral, and metabolic activities regulated by the body's endogenous biological clock. Their proper functioning is crucial for sleep quality, emotional stability, cognitive function, and overall health.

[0003] In recent years, the concept of Human Centric Lighting (HCL) has gained popularity, emphasizing that lighting design should simultaneously consider visual comfort and circadian rhythm regulation. Existing technologies include some intelligent lighting systems that attempt to adjust the color temperature and brightness of the light source according to preset schedules or fixed scene patterns, such as simulating sunrise and sunset to aid in falling asleep or waking up. However, such solutions generally suffer from the following shortcomings:

[0004] (1) Lack of dynamic perception and modeling of individual user behavior patterns and actual biological rhythm states;

[0005] (2) The use of a generalized spectral strategy cannot adapt to the rhythm phase differences of different users;

[0006] (3) The spectral control dimension is singular, usually only adjusting the white light color temperature, which cannot achieve precise light stimulation. Summary of the Invention

[0007] This application provides a method, system, terminal, and medium for intelligent lighting regulation based on biological rhythms, which addresses the technical problems of insufficient biological rhythm state perception, poor individual adaptability, and single spectral regulation dimension in existing health lighting technologies.

[0008] In a first aspect, this application provides an intelligent lighting control method based on biological rhythms, comprising: acquiring user behavior pattern information; analyzing the behavior pattern information based on a pre-constructed biological rhythm model and outputting corresponding biological rhythm state parameters; dynamically generating a multi-channel spectral configuration strategy covering the entire day cycle based on the biological rhythm state parameters; wherein the multi-channel spectral configuration strategy is used to output a combined spectrum composed of several independently controllable light source channels at different time periods throughout the day; the light source channels include 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 combined spectrum is in a non-ultraviolet light band; and generating lighting control commands based on the multi-channel spectral configuration strategy.

[0009] In one implementation of the first aspect, the analysis of the behavioral pattern information based on a pre-constructed circadian rhythm model, and the output of corresponding circadian rhythm state parameters, includes: extracting sleep-wake cycle parameters from the behavioral pattern information; identifying the user's current circadian rhythm stage based on a comparison analysis of the current time and the sleep-wake cycle parameters; the circadian rhythm stage includes a morning wake-up stage, a daytime maintenance stage, and an evening transition stage; extracting indoor stay duration parameters, activity period distribution parameters, and historical light exposure record parameters from the behavioral pattern information, and inputting them into the circadian rhythm model; and based on the circadian rhythm model, quantifying and calculating the circadian rhythm phase, user alertness level, daytime light exposure sufficiency, nighttime rhythm sensitivity, and probability of natural sunlight-induced behavior in the circadian rhythm stage, and using the calculation results as the circadian rhythm state parameters.

[0010] In one implementation of the first aspect, dynamically generating a multi-channel spectral configuration strategy covering the entire day cycle based on the biological rhythm state parameters includes: calculating a set of spectral control parameters for each of the light source channels based on the rhythm state parameters; the set of spectral control parameters includes output ratio, illuminance range, color temperature range, and gradient rate; and generating differentiated spectral configuration schemes corresponding to the morning wake-up stage, the daytime maintenance stage, and the evening transition stage based on the set of spectral control parameters.

[0011] In one implementation of the first aspect, the method further includes: acquiring external natural sunlight environment parameters in real time; determining whether the triggering conditions of the synergistic enhancement mode are met by analyzing the matching degree between the biological rhythm state parameters and the natural sunlight environment parameters; if so, dynamically adjusting the parameters in the spectral control parameter set based on the matching degree analysis, and forming a new multi-channel spectral output strategy; otherwise, maintaining the current multi-channel spectral output strategy unchanged.

[0012] In one implementation of the first aspect, the method further includes: acquiring environmental context information; determining whether the triggering conditions for the behavior guidance mode are met based on the biological rhythm state parameters and the environmental context information; if so, outputting behavior guidance suggestions for outdoor exposure or window-side stay to the user through changes in the light environment within a preset time window; otherwise, maintaining the current multi-channel spectral output strategy unchanged; the time window is determined comprehensively based on time constraints, environmental constraints, and behavior constraints; wherein the time constraints include the current time being within the effective sunshine available range of the day; the environmental constraints include outdoor illuminance, weather conditions, or window-side measured illuminance exceeding a preset threshold; the behavior constraints include the user being currently in an idle state or about to enter a guideable state; the guideable state includes sitting still, low cognitive load tasks, or about to end indoor enclosed activities.

[0013] In one implementation of the first aspect, the multi-channel spectral configuration strategy outputs a combined spectrum composed of several independently controllable light source channels at different times throughout the day, including configuring the output ratio of each light source channel as follows: during the morning wake-up phase, the white light channel accounts for 40% to 60%, the short-wavelength visible light channel accounts for 25% to 40%, and the long-wavelength visible light or near-infrared light channel accounts for 5% to 20%; during the daytime maintenance phase, the white light channel accounts for 50% to 70%, the short-wavelength visible light channel accounts for 10% to 25%, and the long-wavelength visible light or near-infrared light channel accounts for 10% to 20%; during the evening transition phase, the white light channel accounts for 20% to 40%, the short-wavelength visible light channel accounts for 0% to 10%, and the long-wavelength visible light or near-infrared light channel accounts for 40% to 70%; the total proportion of the white light channel, the short-wavelength visible light channel, and the long-wavelength visible light or near-infrared light channel in each phase is 100%.

[0014] In one implementation of the first aspect, the method further includes imposing security constraints on the multi-channel spectral configuration strategy; wherein the security constraint steps include: performing legality verification and dynamic limiting on each parameter in the spectral control parameter set; setting upper limit thresholds for the output intensity, continuous irradiation duration, and light intensity change rate of the short-wavelength visible light channel; setting safety boundaries for the total illuminance and comprehensive color temperature of the white light channel, and the output power density and cumulative irradiation time of the long-wavelength visible light or near-infrared light channel; and limiting the output power density and cumulative irradiation time of the long-wavelength visible light or near-infrared light channel.

[0015] Secondly, this application provides an intelligent light regulation system based on biological rhythms, comprising: a light control device for executing the method described in any of the above-mentioned methods and generating light control commands; and one or more lighting terminals communicatively connected to the light control device for providing illumination based on the light control commands.

[0016] Thirdly, this application provides a terminal, comprising: a memory for storing a computer program; and a processor for executing the computer program stored in the memory to cause the terminal to perform the method described in any of the above-mentioned embodiments.

[0017] 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.

[0018] As described above, the intelligent light regulation method, system, terminal, and medium based on biological rhythms described in this application have the following beneficial effects:

[0019] (1) By collecting and analyzing users’ behavioral patterns and combining them with a pre-constructed biorhythm model, the user’s internal rhythm state can be dynamically inferred, thereby generating a light strategy that is highly matched with their physiological needs, which significantly improves the pertinence and effectiveness of the intervention.

[0020] (2) Automatically generate dynamic spectral configuration strategies covering the entire day cycle, intelligently adjust the illumination parameters of each light source channel at different time periods, realize individualized adjustment, and meet the differentiated adjustment needs of different time periods and different user states;

[0021] (3) It supports long-term self-learning optimization and can dynamically optimize lighting strategies based on long-term user data. Attached Figure Description

[0022] Figure 1 The flowchart shown is a process for an intelligent light regulation method based on biological rhythms according to an embodiment of this application.

[0023] Figure 2 The diagram shown is a data analysis flowchart of a biological rhythm model according to an embodiment of this application.

[0024] Figure 3 The diagram shown is a flowchart of a differentiated spectral configuration according to an embodiment of this application.

[0025] Figure 4 This is a schematic diagram showing the output ratio configuration of each light source channel according to an embodiment of this application.

[0026] Figure 5 The flowchart shown is a process for another embodiment of the present application of a smart light regulation method based on biological rhythms.

[0027] Figure 6 The flowchart shown is a process for a biological rhythm-based intelligent light regulation method according to another embodiment of this application.

[0028] Figure 7 The diagram shown is a security constraint diagram according to an embodiment of this application.

[0029] Figure 8 The diagram shown is a structural schematic of an intelligent light regulation system based on biological rhythms according to an embodiment of this application.

[0030] Figure 9 The diagram shown is a structural schematic of a lighting control device according to an embodiment of this application.

[0031] Figure 10 The diagram shown is a structural schematic of a terminal according to an embodiment of this application. Detailed Implementation

[0032] 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.

[0033] 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.

[0034] This application addresses existing technological bottlenecks by providing a method, system, terminal, and medium for intelligent light regulation based on biological rhythms. This solution can dynamically infer the user's biological rhythm state based on individual behavioral data and generate an all-weather, multi-channel, non-UV spectral configuration strategy accordingly.

[0035] The technical solution proposed in this application is applicable to various indoor application scenarios such as homes, offices, elderly care institutions, and commercial spaces. It has good universality and scalability, and can achieve efficient linkage with wearable devices, environmental sensors, and mainstream smart home platforms.

[0036] The following will describe in detail the principle and implementation of a biological rhythm-based intelligent light regulation method and system, terminal and medium of this embodiment, so that those skilled in the art can understand the biological rhythm-based intelligent light regulation method and system, terminal and medium of this embodiment without creative labor.

[0037] Please see Figure 1 The above is a flowchart of an embodiment of the intelligent light regulation method based on biological rhythms according to this application.

[0038] like Figure 1 As shown, this embodiment provides an intelligent light regulation method based on biological rhythms, including the following steps S100 to S400.

[0039] In step S100, information on the user's behavioral patterns is obtained.

[0040] Specifically, the behavioral pattern information can be automatically collected through smart home devices, wearable devices, or mobile applications, or it can be actively input by the user. The behavioral pattern information includes: sleep schedule parameters, indoor activity parameters, and outdoor activity parameters, etc.

[0041] In step S200, the behavioral pattern information is analyzed based on the pre-constructed biological rhythm model, and the corresponding biological rhythm state parameters are output.

[0042] The aforementioned circadian rhythm model is a parametric computational model that integrates multidimensional physiological and behavioral data to characterize the dynamic features of an individual's diurnal rhythm. This model uses user activity duration, daily routines, indoor time duration, activity period distribution, diurnal activity intensity variations, and historical light exposure records as input variables. Through machine learning or rule-based reasoning mechanisms, it quantifies and assesses key state parameters such as the user's current circadian rhythm phase, alertness level, daytime light exposure sufficiency, nighttime circadian rhythm sensitivity, and the probability of engaging in natural sunlight-coordinated behavior within the next few hours.

[0043] Please see Figure 2 The above is a flowchart of data analysis for a biological rhythm model according to an embodiment of this application.

[0044] like Figure 2 As shown, the analysis of behavioral pattern information based on a pre-constructed biological rhythm model and the output of corresponding biological rhythm state parameters include the following steps S201 to S204.

[0045] In step S201, the daily routine parameters are extracted from the behavioral pattern information.

[0046] The time parameters include the user's usual wake-up time, bedtime, lunch break, and the start and end times of major daytime activities.

[0047] In step S202, based on the comparison and analysis between the current time and the rest time parameters, the user's current physiological rhythm stage is identified.

[0048] The physiological rhythm phases include the morning wake-up phase, the daytime maintenance phase, and the evening transition phase. The morning wake-up phase typically corresponds to the period from waking up until the start of productive morning activities, and is a key window for the rise in cortisol levels, the gradual increase in body temperature, and the gradual recovery of cognitive function. The daytime maintenance phase covers the main work or activity period, during which the body is in a state of high metabolism and high alertness. The evening transition phase lasts from the end of daytime activities until preparation for sleep, during which melatonin secretion gradually starts, photosensitivity increases, and strong light interference should be avoided.

[0049] For example, if a user's usual wake-up time is 7:00 AM and bedtime is 11:00 PM, then we can define: 6:00–9:00 AM as the morning wake-up phase, 9:00–18:00 PM as the daytime maintenance phase, and 18:00–21:00 PM as the evening transition phase.

[0050] In step S203, indoor stay duration parameters, activity period distribution parameters, and historical light exposure record parameters are extracted from the behavioral pattern information and input into the biorhythm model.

[0051] In this embodiment, the input parameters of the biological rhythm model include:

[0052] (1) Indoor stay duration parameter: For example, the average indoor stay time on weekdays is 10 hours;

[0053] (2) Activity time distribution parameters: For example, 9:00 AM to 12:00 PM is identified as the user's most productive working time;

[0054] (3) Historical light exposure record parameters: For example, the average daily natural light exposure time in the previous week was 45 minutes.

[0055] In step S204, based on the biological rhythm model, the rhythm phase, user alertness level, daytime light exposure sufficiency, nighttime rhythm sensitivity, and probability of natural sunlight-induced behavior of the physiological rhythm stage are quantitatively calculated, and the calculation results are used as the biological rhythm state parameters.

[0056] Circadian rhythm phase is used to reflect the degree to which a user's internal biological clock deviates from the standard 24-hour cycle. For example, a phase shift of 0.3 indicates that the user is slightly biased towards a "morning-type" sleep pattern.

[0057] A user's alertness level is used to assess current cognitive alertness and physical activity. For example, an alertness level of 85% in the morning indicates a high level of arousal.

[0058] Daytime light adequacy is used to measure whether recent natural light intake meets basic physiological needs. For example, a light adequacy index of 65% indicates a risk of insufficient light exposure.

[0059] Nighttime circadian rhythm sensitivity is used to characterize the degree to which light stimulation inhibits melatonin secretion during the current time period. For example, a sensitivity of 0.75 falls within the high sensitivity range, requiring careful control of nighttime light intensity.

[0060] The probability of natural sunlight-related behavior is used to predict the likelihood of a user being in a location with acceptable natural light, such as near a window, on a balcony, or outdoors, during a specific time period in the future. For example, the probability of a user staying near a window between 12:00 and 13:00 is 0.6.

[0061] In step S300, a multi-channel spectral configuration strategy covering the entire day cycle is dynamically generated based on the biological rhythm state parameters.

[0062] The multi-channel spectral configuration strategy is used to output a combined spectrum consisting of several independently controllable light source channels at different times of the day; the light source channels include 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.

[0063] 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.

[0064] In one embodiment of this application, the combined spectrum is in a non-ultraviolet light band.

[0065] In this implementation, by using a combination spectrum of non-ultraviolet light bands, the risk of skin damage caused by traditional ultraviolet light irradiation methods can be avoided. While ensuring safety, it achieves scientific, precise, and all-weather intervention of the biorhythm system, significantly improving the physiological effectiveness and user experience of human-caused lighting.

[0066] Please see Figure 3 The diagram shown is a flowchart of a differentiated spectral configuration according to an embodiment of this application.

[0067] like Figure 3 As shown, the strategy for dynamically generating a multi-channel spectral configuration covering the entire day cycle based on the biological rhythm state parameters includes the following steps S301 and S302.

[0068] In step S301, based on the rhythm state parameters, the spectral control parameter set for each of the light source channels is calculated.

[0069] The set of spectral control parameters includes output ratio, illuminance range, color temperature range, and gradient rate.

[0070] Output ratio refers to the percentage of each light source channel in the total light output, used to adjust the contribution of different spectral components to the overall illumination and physiological effects; Illuminance range refers to the brightness range that each channel is allowed to output within a specific time period, to meet the needs of visual tasks and avoid overexposure or underexposure; Color temperature range refers to the effective color temperature range corresponding to each channel, used to match the user's current circadian rhythm stage and adapt to the warm or cool light environment; Gradient rate refers to the rate at which the light parameters of each channel change over time, used to achieve a smooth transition of the light environment and reduce abrupt interference to the user's circadian rhythm system.

[0071] In step S302, based on the set of spectral control parameters, differentiated spectral configuration schemes corresponding to the morning wake-up stage, the daytime maintenance stage, and the evening transition stage are generated respectively.

[0072] Please see Figure 4 The diagram shows a schematic representation of the output ratio configuration of each light source channel according to an embodiment of this application.

[0073] like Figure 4 As shown, the multi-channel spectral configuration strategy outputs a combined spectrum consisting of several independently controllable light source channels at different times throughout the day, including configuring the output ratio of each light source channel in the following manner:

[0074] During the morning wake-up phase, the white light channel accounts for 40% to 60%, the short-wave visible light channel accounts for 25% to 40%, and the long-wave visible light or near-infrared light channel accounts for 5% to 20%.

[0075] During the daytime maintenance phase, the white light channel accounts for 50% to 70%, the short-wave visible light channel accounts for 10% to 25%, and the long-wave visible light or near-infrared light channel accounts for 10% to 20%.

[0076] During the evening transition phase, the white light channel accounts for 20% to 40%, the short-wave visible light channel accounts for 0% to 10%, and the long-wave visible light or near-infrared light channel accounts for 40% to 70%.

[0077] In this embodiment, the total proportion of the white light channel, the short-wave visible light channel, and the long-wave visible light or near-infrared light channel in each stage is 100%.

[0078] Traditional single white light sources typically have highly coupled spectral components, making it difficult to independently and precisely control short-wavelength visible light, fundamental white light, and long-wavelength visible or near-infrared light. Therefore, they cannot flexibly respond to the differentiated physiological and behavioral needs of users at different times and under different conditions.

[0079] The multi-channel spectral output configuration of this application supports independent control of the intensity, proportion, duration and rate of change of each channel, meeting the differentiated adjustment needs of different time periods and user states.

[0080] In this implementation, a multi-channel spectral ratio lighting strategy that dynamically changes over time is constructed to enable the lighting environment to accurately match the user's functional needs at different physiological rhythm stages.

[0081] Please see Figure 5 The above is a flowchart of a biological rhythm-based intelligent light regulation method according to another embodiment of this application.

[0082] like Figure 5 As shown, the intelligent light regulation method based on biological rhythms described in this application further includes the following steps S303 to S305.

[0083] In step S303, external natural sunlight environment parameters are acquired in real time.

[0084] For example, the external natural sunlight environment parameters include outdoor illuminance, ultraviolet index, weather conditions, solar altitude angle, sunrise / sunset time, cloud transmittance, etc.

[0085] In step S304, the matching degree analysis between the biological rhythm state parameters and the natural sunlight environment parameters is used to determine whether the triggering conditions for the synergistic enhancement mode are met.

[0086] The aforementioned synergistic enhancement mode refers to a rhythm support mechanism that, under the premise of ensuring no interference with the user's biological rhythm, actively connects, supplements, or replaces natural light input by dynamically modulating the indoor multi-channel spectral output, thereby achieving dual-source synergy between natural light and intelligent artificial light.

[0087] The matching degree analysis can employ a weighted scoring model, rule engine, or lightweight machine learning algorithm to comprehensively evaluate the coupling degree of various parameters and output a binary decision signal indicating whether to trigger the collaborative enhancement mode.

[0088] In one embodiment of this application, the conditions for triggering the collaborative enhancement mode include satisfying any one or more of the following:

[0089] (1) The daytime light exposure adequacy index is lower than the preset threshold, and the current outdoor illuminance is higher than the set compensation threshold;

[0090] (2) The probability of natural sunlight-coordinated behavior is higher than the preset probability threshold, and the current period is during the user's historical high-frequency window / balcony activity period;

[0091] (3) The current solar altitude angle is within the preset range (for example, from 2 hours after sunrise to 2 hours before sunset, corresponding to a solar altitude angle >10°), and the ultraviolet index is within the safe range;

[0092] (4) The user's rhythm phase is significantly shifted, and the current natural lighting conditions are conducive to phase correction;

[0093] (5) Sudden weather changes cause a sharp drop in natural light, while the user is in the daytime maintenance phase and their alertness level is decreasing.

[0094] In step S305, if the triggering conditions for the synergistic enhancement mode are met, the parameters in the spectral control parameter set are dynamically adjusted based on the matching degree analysis to form a new multi-channel spectral output strategy; otherwise, the current multi-channel spectral output strategy remains unchanged.

[0095] For example, when the system detects that a user is in a period of high probability of natural sunlight co-activity and that outdoor illuminance is sufficient, it can reduce the indoor white light channel illuminance to the baseline level; or pause the output of short-wave visible light; or prompt the user to move closer to a naturally lit area; or simultaneously activate the near-infrared channel to assist skin microcirculation and provide metabolic preparation for possible exposure to natural light.

[0096] Conversely, if continuous rainy weather is detected, resulting in severe insufficient daytime light exposure, the proportion of short-wave visible light will be increased to over 30% during the daytime maintenance phase, and high illuminance and high color temperature will be maintained to simulate the characteristics of sunny outdoor lighting in order to maintain rhythmic amplitude and alertness.

[0097] In this implementation, by introducing a synergistic enhancement mode, external natural light conditions are incorporated into the control loop, enabling artificial light intervention to work in synergy with natural rhythm driving factors. When natural light is available, artificial lighting energy consumption is reduced, and when natural light is lacking, the physiologically required light signals are precisely supplemented, thereby improving resource utilization.

[0098] Please see Figure 6 The above is a flowchart of a biological rhythm-based intelligent light regulation method according to another embodiment of this application.

[0099] like Figure 6 As shown, the intelligent light regulation method based on biological rhythms described in this application further includes the following steps S306 to S309.

[0100] In step S306, environmental context information is obtained.

[0101] For example, the environmental context information includes spatial location information, activity status information, schedule and task information, etc.

[0102] In step S307, based on the biological rhythm state parameters and the environmental context information, it is determined whether the triggering conditions for the behavior guidance mode are met.

[0103] In one embodiment of this application, the conditions for triggering the behavior guidance mode include satisfying any one or more of the following:

[0104] (1) The current time is within the preset effective guidance period interval. For example, the effective guidance period interval can be set to the time period when the solar altitude angle is greater than 10° and the ultraviolet index is within the safe range.

[0105] (2) Outdoor light intensity is greater than the preset threshold.

[0106] (3) The user sits continuously for a longer period of time than the preset threshold.

[0107] (4) The user has no high-priority meetings, focused tasks or uninterrupted operations within the preset time period in the future.

[0108] In step S308, if the triggering conditions of the behavior guidance mode are met, behavior guidance suggestions for outdoor exposure or window-side stay are output to the user through changes in the light environment within a preset time window; otherwise, the current multi-channel spectral output strategy remains unchanged.

[0109] The time window is determined comprehensively based on time constraints, environmental constraints, and behavioral constraints; wherein the time constraints include the current time being within the effective sunshine available range of the day; the environmental constraints include outdoor illuminance, weather conditions, or window-side measured illuminance exceeding a preset threshold; the behavioral constraints include the user being in an idle state or about to enter a guideable state; the guideable state includes sitting still, performing a low cognitive load task, or about to end an indoor enclosed activity.

[0110] In one embodiment of this application, the behavioral guidance suggestion adopts one or more of the following light cues:

[0111] (1) Differences in brightness between areas. For example, moderately increasing the illuminance of the window side area can create visual appeal.

[0112] (2) Gradual light path. For example, set a dynamically gradient color temperature or brightness guide along the path from the user's current position to the window.

[0113] (3) Directional lighting cues. For example, projecting soft, focused light spots or pulsating light signals at the edges of window frames or the target's dwell area as a non-invasive cues.

[0114] In this implementation, implicit guidance through the light environment reduces prolonged sitting and increases exposure to natural light; combined with task status, spatial location, and physiological needs, it achieves precise guidance that is "timely, appropriate, and moderate," enhancing the system's intelligence and humanization.

[0115] In step S400, illumination control commands are generated based on the multi-channel spectral configuration strategy.

[0116] In one embodiment of this application, illumination control commands are transmitted to each light source device to achieve precise spectral output control. The illumination control commands include the on / off status of each channel, brightness level, color temperature setting, and time scheduling information to ensure that the illumination environment dynamically changes according to a preset strategy, thereby effectively regulating the user's circadian rhythm.

[0117] In one embodiment of this application, the intelligent illumination regulation method based on biological rhythms further includes security constraints on the multi-channel spectral configuration strategy.

[0118] Please see Figure 7 The diagram shown is a schematic diagram of security constraints according to an embodiment of this application.

[0119] like Figure 7 As shown, the steps of the security constraint include: performing legality verification and dynamic limiting on each parameter in the spectral control parameter set; setting upper limit thresholds for the output intensity, continuous irradiation duration, and light intensity change rate of the short-wave visible light channel; setting safety boundaries for the total illuminance and comprehensive color temperature of the white light channel, and the output power density and cumulative irradiation time of the long-wave visible light or near-infrared light channel; and limiting the output power density and cumulative irradiation time of the long-wave visible light or near-infrared light channel.

[0120] It should be noted that the scope of protection of the intelligent light regulation method based on biological rhythm described in the embodiments of this application is not limited to the execution order of the steps listed in this embodiment. Any solution implemented by adding, subtracting, or replacing steps in the prior art based on the principles of this application is included within the scope of protection of this application.

[0121] Please see Figure 8 The image shown is a schematic diagram of the structure of an intelligent light regulation system based on biological rhythms according to an embodiment of this application.

[0122] like Figure 8 As shown, this application provides an intelligent light regulation system based on biological rhythms, comprising:

[0123] A light control device for executing the circadian rhythm-based intelligent light regulation method as described in any of the preceding claims, and for generating light control commands.

[0124] One or more lighting terminals are communicatively connected to the lighting control device for providing lighting based on the lighting control commands.

[0125] Please see Figure 9 The image shown is a schematic diagram of the structure of a light control device according to an embodiment of this application.

[0126] like Figure 9 As shown, the illumination control device includes an information acquisition module, an information analysis module, a spectrum configuration module, and an instruction generation module.

[0127] The information acquisition module is used to acquire information about the user's behavioral patterns.

[0128] The information analysis module is used to analyze the behavioral pattern information based on a pre-built biological rhythm model and output the corresponding biological rhythm state parameters.

[0129] The spectral configuration module is used to dynamically generate a multi-channel spectral configuration strategy covering the entire day cycle based on the biological rhythm state parameters.

[0130] The multi-channel spectral configuration strategy is used to output a combined spectrum consisting of several independent and controllable light source channels at different times throughout the day; the light source channels include 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 combined spectrum is in the non-ultraviolet light band.

[0131] The instruction generation module is used to generate illumination control instructions based on the multi-channel spectral configuration strategy.

[0132] It should be noted that the structure and technical principle of the light control device described in this embodiment correspond one-to-one with the steps in the above-mentioned intelligent light regulation method based on biological rhythms, so they will not be repeated here.

[0133] The light control device provided in this application embodiment can realize the intelligent light regulation method based on biological rhythm described in this application. However, the implementation device of the intelligent light regulation method based on biological rhythm described in this application includes, but is not limited to, the structure of the light control device listed in this embodiment. All structural modifications and substitutions of the prior art made in accordance with the principles of this application are included within the protection scope of this application.

[0134] Please see Figure 10 The image shown is a schematic diagram of the structure of a terminal according to an embodiment of this application.

[0135] like Figure 10 As shown, this application embodiment provides a terminal, including:

[0136] The memory is used to store computer programs;

[0137] 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.

[0138] 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).

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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)).

[0148] 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.

[0149] 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 method for intelligent light regulation based on biological rhythms, characterized in that, include: Obtain information about user behavior patterns; Based on a pre-constructed biological rhythm model, the behavioral pattern information is analyzed, and corresponding biological rhythm state parameters are output. Based on the biological rhythm state parameters, a multi-channel spectral configuration strategy covering the entire day cycle is dynamically generated. The multi-channel spectral configuration strategy is used to output a combined spectrum consisting of several independently controllable light source channels at different times throughout the day; the light source channels include 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 combined spectrum is in a non-ultraviolet light band; Based on the multi-channel spectral configuration strategy, illumination control commands are generated.

2. The method according to claim 1, characterized in that, Based on a pre-constructed circadian rhythm model, the behavioral pattern information is analyzed, and corresponding circadian rhythm state parameters are output, including: Extract daily routine parameters from the behavioral pattern information; Based on the comparative analysis of the current time and the aforementioned sleep-wake cycle parameters, the user's current circadian rhythm stage is identified; the circadian rhythm stage includes the morning wake-up stage, the daytime maintenance stage, and the evening transition stage. The parameters of indoor stay duration, activity period distribution, and historical light exposure records are extracted from the behavioral pattern information and input into the biorhythm model. Based on the aforementioned circadian rhythm model, the circadian phase, user alertness level, daytime light exposure adequacy, nighttime circadian rhythm sensitivity, and probability of natural sunlight-induced behavior are quantitatively calculated for the physiological circadian rhythm stage, and the calculation results are used as the circadian rhythm state parameters.

3. The method according to claim 1, characterized in that, Based on the aforementioned biological rhythm state parameters, a strategy for dynamically generating a multi-channel spectral configuration covering the entire 24-hour period includes: Based on the rhythmic state parameters, a set of spectral control parameters for each of the light source channels is calculated; the set of spectral control parameters includes output ratio, illuminance range, color temperature range, and gradient rate. Based on the set of spectral control parameters, differentiated spectral configuration schemes corresponding to the morning wake-up stage, the daytime maintenance stage, and the evening transition stage are generated respectively.

4. The method according to claim 3, characterized in that, Also includes: Real-time acquisition of external natural sunlight environment parameters; By analyzing the matching degree between the biological rhythm state parameters and the natural sunlight environment parameters, it is determined whether the triggering conditions of the synergistic enhancement mode are met. If so, based on the matching degree analysis, the parameters in the spectral control parameter set are dynamically adjusted to form a new multi-channel spectral output strategy. Otherwise, the current multi-channel spectral output strategy will remain unchanged.

5. The method according to claim 1, characterized in that, Also includes: Obtain environment context information; Based on the biological rhythm state parameters and the environmental context information, determine whether the triggering conditions for the behavior guidance mode are met; If so, within a preset time window, behavioral guidance suggestions will be provided to the user based on changes in the light environment, such as outdoor exposure or staying by the window. Otherwise, the current multi-channel spectral output strategy will remain unchanged; The time window is determined comprehensively based on time constraints, environmental constraints, and behavioral constraints. The time constraints include the current time being within the effective sunshine available range for the day. The environmental constraints include outdoor illuminance, weather conditions, or window-side measured illuminance exceeding a preset threshold. The behavioral constraints include the user being in an idle state or about to enter a guideable state. The guideable state includes sitting still, performing a low cognitive load task, or about to end an indoor enclosed activity.

6. The method according to claim 1, characterized in that, The multi-channel spectral configuration strategy outputs a combined spectrum consisting of several independently controllable light source channels at different times throughout the day, including configuring the output ratio of each light source channel in the following manner: During the morning wake-up phase, the white light channel accounts for 40% to 60%, the short-wave visible light channel accounts for 25% to 40%, and the long-wave visible light or near-infrared light channel accounts for 5% to 20%. During the daytime maintenance phase, the white light channel accounts for 50% to 70%, the short-wave visible light channel accounts for 10% to 25%, and the long-wave visible light or near-infrared light channel accounts for 10% to 20%. During the evening transition phase, the white light channel accounts for 20% to 40%, the short-wave visible light channel accounts for 0% to 10%, and the long-wave visible light or near-infrared light channel accounts for 40% to 70%. The total proportion of the white light channel, the short-wave visible light channel, and the long-wave visible light or near-infrared light channel in each stage is 100%.

7. The method according to claim 1, characterized in that, It also includes security constraints on the multi-channel spectral configuration strategy; The steps of the security constraint include: The validity of each parameter in the set of spectral control parameters is verified and dynamically limited. Upper limit thresholds are set for the output intensity, continuous irradiation duration, and light intensity change rate of the short-wave visible light channel; Safety boundaries are set for the total illuminance and overall color temperature of the white light channel, and the output power density and cumulative irradiation time of the long-wave visible light or near-infrared light channel. The output power density and cumulative irradiation time of the long-wave visible light or near-infrared light channel are limited.

8. A smart light regulation system based on biological rhythms, characterized in that, include: A lighting control device for performing the method as described in any one of claims 1 to 7 and generating lighting control commands; One or more lighting terminals are communicatively connected to the lighting control device for providing lighting based on the lighting control commands.

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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