Circadian rhythm phase adjustment method and system, equipment and storage medium

Abstract

A circadian phase adjustment method, system and device, and a storage medium, the method comprising: acquiring circadian phase information of a user, including target sleep time and target wake time of a target day; obtaining a target value of rhythm phase shift of the target day based on the target falling-asleep time and the target awakening time; a target cumulant of the light dose cumulant is obtained based on the target value of the rhythm phase migration by using a phase prediction model, and the phase prediction model is a relation model of the rhythm phase migration and the light dose cumulant; acquiring an actual cumulant of the light dose cumulant based on the light environment information; and judging whether the actual cumulant of the user at the current detection moment meets the requirement or not based on the target cumulant, and executing the light intervention operation if the actual cumulant does not meet the requirement. According to the method, the target value of the light dose cumulant required by the user on the target day is quantified, intervention is performed based on the actual light dose cumulant, and the accuracy of circadian rhythm phase adjustment is improved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of data processing, and in particular, to a circadian rhythm phase adjustment method, system, device, and storage medium. Background Art

[0002] Sleep disorders, mood disorders, and cognitive decline caused by circadian rhythm disorders are common problems that plague people of all ages and are also important risk factors for various diseases such as breast cancer and depression. Existing circadian rhythm adjustment methods are mostly achieved through drugs, and their side effects and drug dependence are not conducive to physical health.

[0003] Light intervention is an effective non-drug approach to regulating circadian rhythm disorders. Specifically, light stimulates the suprachiasmatic nucleus through the non-visual pathway of the human eye, thereby regulating the human circadian rhythm, including: sleep-wake cycle, melatonin secretion, neural excitability, etc.

[0004] Therefore, how to accurately adjust the circadian rhythm phase through light intervention has become an urgent problem to be solved. Summary of the Invention

[0005] The problem solved by the embodiments of the present invention is to provide a circadian rhythm phase adjustment method, system, device, and storage medium to improve the accuracy of circadian rhythm phase adjustment.

[0006] To solve the above problem, an embodiment of the present invention provides a circadian rhythm phase adjustment method, including: obtaining user information, including the circadian rhythm phase information of the user, where the circadian rhythm phase information includes the target bedtime and target wake-up time of the target day; based on the target bedtime and target wake-up time, obtaining the target value of the rhythm phase migration of the target day; using a phase prediction model, based on the target value of the rhythm phase migration, obtaining the target value of the light dose accumulation of the target day as the target accumulation, where the phase prediction model is a relationship model between the rhythm phase migration and the light dose accumulation; obtaining the actual value of the light dose accumulation as the actual accumulation based on the collected light environment information; based on the target accumulation, determining whether the actual accumulation at the current detection moment of the user meets the requirements; and in the case where the actual accumulation at the current detection moment does not meet the requirements, performing a light intervention operation, where the light intervention operation is used to correct the rhythm phase migration of the target day.

[0007] Correspondingly, an embodiment of the present invention further provides a circadian rhythm phase adjustment system, including: a user information acquisition module, configured to acquire user information, including the circadian rhythm phase information of the user, where the circadian rhythm phase information includes the target sleep time and the target wake-up time of the target day, and is further configured to acquire a target value of the rhythm phase migration of the target day based on the target sleep time and the target wake-up time; a prediction module, configured to use a phase prediction model to obtain a target value of the light dose accumulation of the target day as a target accumulation amount based on the target value of the rhythm phase migration, where the phase prediction model is a relationship model between the rhythm phase migration and the light dose accumulation, and is further configured to obtain an actual value of the light dose accumulation as an actual accumulation amount based on the collected light environment information, and based on the target accumulation amount, and is further configured to determine whether the actual accumulation amount at the current detection moment of the user meets the requirements; a light intervention control module, configured to respond to the judgment result of the prediction module, and perform a light intervention operation when the actual accumulation amount at the current detection moment does not meet the requirements, where the light intervention operation is used to correct the rhythm phase migration of the target day.

[0008] Correspondingly, an embodiment of the present invention further provides a circadian rhythm phase adjustment system, including: a main control module, configured to execute the circadian rhythm phase adjustment method according to any one of the embodiments of the present invention; a light intervention execution module, configured to execute a corresponding light intervention operation in response to the light intervention operation instruction of the main control module.

[0009] Correspondingly, an embodiment of the present invention further provides a device, including at least one memory and at least one processor, where the memory stores one or more computer instructions, and wherein the one or more computer instructions are executed by the processor to implement the circadian rhythm phase adjustment method according to any one of the embodiments of the present invention.

[0010] Correspondingly, an embodiment of the present invention further provides a storage medium, where the storage medium stores one or more computer instructions, and the one or more computer instructions are used to implement the circadian rhythm phase adjustment method according to any one of the embodiments of the present invention.

[0011] Compared with the prior art, the technical solution of the embodiment of the present invention has the following advantages:

[0012] In the circadian rhythm phase adjustment method provided by the embodiments of the present invention, based on the user's target bedtime and target wake-up time, the target value of the rhythm phase migration on the target day is obtained, and based on this target value, the target value of the light dose accumulation required to achieve this target value is obtained as the target accumulation using the phase prediction model. Based on the user's target accumulation and the monitoring data of the actual light environment, it is monitored whether the actual accumulation at the current detection moment meets the requirements, and in the case of non-compliance, a light intervention operation for correcting the rhythm phase migration is performed; since the target value of the rhythm phase migration on the target day is first obtained using the target bedtime and target wake-up time to quantify the target value of the light dose accumulation required by the user on the target day, and based on the monitoring of the light environment and the monitoring of the actual accumulation of the user at the detection moment, a light intervention operation can be performed in the case of non-compliance to achieve customized induction intervention on the human circadian rhythm phase, which improves the accuracy of circadian rhythm phase adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 is a schematic flowchart of an embodiment of the circadian rhythm phase adjustment method of the present invention;

[0014] Figure 2 is Figure 1 a flowchart of an embodiment of step S50;

[0015] Figure 3 is a schematic diagram of the rhythm phase shift time response curve provided by an embodiment of the present invention;

[0016] Figure 4 is a schematic diagram of the daily cycle rhythm stimulation dose curve provided by an embodiment of the present invention;

[0017] Figure 5 is a schematic structural diagram of the circadian rhythm phase adjustment system in an embodiment of the present invention;

[0018] Figure 6 is a schematic structural diagram of the circadian rhythm phase adjustment system in another embodiment of the present invention;

[0019] Figure 7 is the hardware structure diagram of the device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] As can be seen from the background art, how to precisely adjust the circadian rhythm phase through light intervention has become an urgent problem to be solved.

[0021] To solve the above technical problem, the embodiments of the present invention provide a circadian rhythm phase adjustment method. Referring to Figure 1 , a schematic flowchart of an embodiment of the circadian rhythm phase adjustment method of the present invention is shown.

[0022] In this embodiment, the circadian rhythm phase adjustment method includes the following basic steps:

[0023] Step S10: Obtain user information, including the circadian rhythm phase information of the user, where the circadian rhythm phase information includes the target sleep time and the target wake-up time of the target day;

[0024] Step S20: Based on the target sleep time and the target wake-up time, obtain the target value of the rhythm phase migration of the target day;

[0025] Step S30: Use a phase prediction model to obtain the target value of the light dose accumulation of the target day as the target accumulation based on the target value of the rhythm phase migration, where the phase prediction model is a relationship model between the rhythm phase migration and the light dose accumulation;

[0026] Step S40: Obtain the actual value of the light dose accumulation as the actual accumulation based on the collected light environment information;

[0027] Step S50: Based on the target accumulation, determine whether the actual accumulation at the current detection moment of the user meets the requirements;

[0028] Step S60: In the case where the actual accumulation at the current detection moment does not meet the requirements, perform a light intervention operation, where the light intervention operation is used to correct the rhythm phase migration of the target day.

[0029] In the circadian rhythm phase adjustment method according to the embodiment of the present invention, since the target value of the rhythm phase migration of the target day is first obtained by using the target sleep time and the target wake-up time to quantify the target value of the light dose accumulation required by the user on the target day, and based on the monitoring of the light environment and the monitoring of the actual accumulation of the user at the detection moment, a light intervention operation can be performed when the requirements are not met to achieve customized induction intervention on the human circadian rhythm phase, which improves the accuracy of circadian rhythm phase adjustment.

[0030] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be given with reference to the accompanying drawings.

[0031] With reference to Figure 1 , perform step S10 to obtain user information, including the circadian rhythm phase information of the user, where the circadian rhythm phase information includes the target sleep time and the target wake-up time of the target day.

[0032] Collect user information to obtain information related to the circadian rhythm of the user.

[0033] For example, the sleep onset time and wake-up time are related to the Circadian Phase Shift (CPS). Therefore, by obtaining the target sleep onset time and target wake-up time of the user on the target day, the target value of the circadian phase shift on the target day can be obtained subsequently, and calculations can be performed based on the target value of the circadian phase shift, or the accuracy of the circadian phase regulation method can be verified based on the target value of the circadian phase shift, so as to correct the accuracy of the circadian phase regulation.

[0034] It should be noted that the circadian phase shift refers to the time offset relative to the reference time corresponding to the minimum core body temperature (CBT min) of the human body.

[0035] The circadian phase shift is a key indicator of the circadian rhythm phase. Usually, each person has a basically stable "biological clock". Therefore, the time corresponding to the minimum core body temperature of each person is often fixed and can be regarded as the reference time. When one or both of the target sleep onset time and target wake-up time change, the time of the minimum core body temperature will shift relative to the reference time, thus generating a circadian phase shift.

[0036] It should also be noted that the user information may further include other types of information. In this embodiment, in the acquisition of the user information, the user information further includes a user portrait, and the user portrait includes the geographical location information and sleep time type of the user.

[0037] The geographical location information reflects the time zone where the user is located, and the sleep time type reflects the circadian rhythm of the user. Therefore, both the geographical location information and the sleep time type are related to the circadian rhythm of the user.

[0038] It should be noted that the geographical location information can be represented by a specific geographical location or by a time zone.

[0039] As an example, the method for determining the sleep time type includes: obtaining the sleep time type of the user based on the Morningness-Eveningness Questionnaire or the Munich Chronotype Questionnaire. In other embodiments, the sleep time type of the user can also be determined by other methods.

[0040] As an example, the optional types of the sleep time type may include: absolute evening type, moderate evening type, intermediate type, moderate morning type, and absolute morning type.

[0041] It can be understood that increasing the richness of user information is beneficial to improving the accuracy of circadian rhythm phase regulation. Therefore, the user information may not be limited to the target bedtime, target wake-up time, geographical location information, and sleep time type. For example, the user profile may further include one or both of age and gender; the circadian rhythm phase information may further include the user's daily bedtime and daily wake-up time, and the daily bedtime and daily wake-up time reflect the user's sleep habits, so as to determine the reference time corresponding to the lowest point of the user's core body temperature.

[0042] As an example, the circadian rhythm phase regulation method can be implemented through a mobile terminal (for example, implemented through an application on the mobile terminal). Therefore, interaction with the user can be achieved through the mobile terminal, so as to collect user information, and track and feedback the user's circadian rhythm phase information.

[0043] Correspondingly, the user profile can be collected through a questionnaire survey on the mobile terminal interaction interface, and the circadian rhythm phase information can be obtained through methods such as sleep logs and core sleep questionnaires.

[0044] Continue to refer to Figure 1 , perform step S20: Based on the target bedtime and target wake-up time, obtain the target value of the rhythm phase migration of the target day.

[0045] The circadian rhythm phase regulation method applies the relationship model between rhythm phase migration and light dose accumulation. Therefore, obtain the target value of rhythm phase migration, so as to subsequently calculate, based on this relationship model, the target value of the light dose accumulation required by the user on the target day to meet the target value of rhythm phase migration.

[0046] In this embodiment, the method for obtaining the target value of the rhythm phase migration of the target day includes: based on the user's daily bedtime and daily wake-up time, obtain the reference time corresponding to the lowest point of the user's core body temperature; based on the reference time, and the target bedtime and target wake-up time, obtain the time offset relative to the reference time, and use it as the target value of the rhythm phase migration of the target day.

[0047] For example, the method for obtaining the time offset relative to the reference time includes: based on the target bedtime and target wake-up time, calculate the midpoint of the sleep time; delay one hour based on the midpoint of the sleep time, and use it as the time corresponding to the lowest point of the user's core body temperature on the target day, so as to obtain the time offset relative to the reference time.

[0048] In this embodiment, in order to improve the accuracy of the target value of the circadian phase shift, the target value of the circadian phase shift on the target day can be obtained based on the target bedtime, target wake-up time, geographical location information, and sleep time type. In other words, based on the target bedtime, target wake-up time, geographical location information, and sleep time type, the reference time corresponding to the lowest point of the user's core body temperature is obtained.

[0049] Continue to refer to Figure 1 , and perform step S30: Using the phase prediction model, obtain the target value of the light dose accumulation on the target day based on the target value of the circadian phase shift as the target accumulation. The phase prediction model is a relationship model between the circadian phase shift and the light dose accumulation.

[0050] Generally speaking, receiving strong light stimulation in the early morning and morning can promote the forward shift of the circadian rhythm, while receiving light stimulation in the evening and night will delay the circadian rhythm. The light dose accumulation is related to the cumulative dose of the circadian stimulation received by the user during the day, that is, the light dose accumulation is used to reflect the cumulative situation of the circadian stimulation dose. Therefore, the light dose accumulation will affect the user's circadian rhythm.

[0051] The quantization model related to the light dose accumulation is beneficial to realizing the prediction of the melatonin inhibition rate under nighttime light intervention and the daily circadian phase shift.

[0052] For example, the relationship model can be obtained based on important photobiological effect quantization models such as the Melanopic Equivement Daylight Illuminace (Melanopic EDI), Circadian Stimulus (CS), or Diunal Circadian Lighitng Accumulation (DCLA).

[0053] Here, the photobiological effect accumulation model is a model that combines the circadian stimulation dose of light, the light duration, and the light time point. Correspondingly, the photobiological effect accumulation is the light dose accumulation that simultaneously considers the time factor (i.e., the light duration and the light time point) and the circadian stimulation dose factor.

[0054] In this embodiment, in the phase prediction model, the light dose accumulation is the photobiological effect accumulation, and the target accumulation is correspondingly the target value of the photobiological effect accumulation.

[0055] Among them, the photobiological effect accumulation is equal to the sum of the products of the circadian stimulation dose at each moment and the effect vector of the light on the circadian phase shift at the corresponding moment.

[0056] Both the time factor and the rhythm stimulation dose factor have important effects on the phase shift of the human rhythm. The cumulative amount of photobiological effect contains multi-dimensional light information composed of different light time points, light duration, and rhythm stimulation dose, so as to obtain the changes in the amplitude and direction of the phase shift of the human rhythm under the combined influence of the time factor and the rhythm stimulation dose factor.

[0057] Using the cumulative amount of photobiological effect is beneficial to more accurately predict the effect of light on the phase shift of the human rhythm, that is, to improve the correlation between the phase shift of the rhythm and the cumulative amount of light dose, and further improve the accuracy of circadian rhythm phase regulation.

[0058] In other embodiments, the cumulative amount of light dose in the phase prediction model may also be: the cumulative amount of rhythm stimulation dose at each moment; wherein, the cumulative amount of rhythm stimulation dose is the sum of the rhythm stimulation doses at each moment.

[0059] In this embodiment, the rhythm stimulation dose includes: circadian illuminance (CL A ), circadian stimulation value (CS t,f ) or melanopsin daylight equivalent illuminance.

[0060] In this embodiment, the phase prediction model is a relationship model between the rhythm phase shift, the cumulative amount of light dose, the maximum forward shift amount of the human rhythm phase shift, and the maximum backward shift amount of the human rhythm phase shift, and the maximum forward shift amount of the human rhythm phase shift and the maximum backward shift amount of the human rhythm phase shift are the coefficients of the phase prediction model.

[0061] Since there are maximum limit values for both the forward and backward shifts of the rhythm phase, therefore, taking the maximum forward shift amount of the human rhythm phase shift and the maximum backward shift amount of the human rhythm phase shift as the coefficients of the phase prediction model makes the phase prediction model more in line with the physiological basis of CPS, thus being beneficial to improving the accuracy of the phase prediction model.

[0062] Here, the maximum forward shift amount of the human rhythm phase shift refers to: the maximum limit value of the forward shift of the rhythm phase; the maximum backward shift amount of the human rhythm phase shift refers to: the maximum limit value of the backward shift of the rhythm phase.

[0063] It should be noted that considering the response compression phenomenon in the influence of light on the circadian rhythm phase shift of the human body, the rhythm phase shift will not increase endlessly with the increase of the cumulative amount of light dose (such as the cumulative amount of photobiological effect). Therefore, in the phase prediction model, the Boltzmann function is used to represent the influence of the cumulative amount of photobiological effect on the rhythm phase shift.

[0064] In a specific embodiment, the phase prediction model is represented by formula (1):

[0065]

[0066] Where CPS represents the rhythm phase migration, A1 represents the maximum forward migration amount of the human body rhythm phase, A2 represents the maximum backward migration amount of the human body rhythm phase, DCLA represents the cumulative amount of photobiological effect, and the cumulative amount of photobiological effect is used as the cumulative amount of light dose. The cumulative amount of photobiological effect is equal to the sum of the products of the rhythm stimulation dose at each moment and the effect vector of the light at the corresponding moment on the rhythm phase migration. x0, d, A1, and A2 are all coefficients, and x0 and d act together on the slope and direction of the S-shaped curve of the Boltzmann function.

[0067] In this embodiment, a specific relationship is satisfied between the rhythm phase migration and the cumulative light dose. Therefore, after obtaining the target value of the rhythm phase migration, substituting this target value into the phase prediction model can obtain the target value of the cumulative light dose on the target day.

[0068] Continue to refer to Figure 1 , and execute step S40: Obtain the actual value of the cumulative light dose as the actual cumulative amount based on the collected light environment information.

[0069] The foregoing steps have obtained the target value of the cumulative light dose on the target day as the target cumulative amount based on the target value of the rhythm phase migration. Then, by collecting the cumulative light dose in the actual light environment information, the light dose feedback is realized, and further, it is judged whether it is necessary to perform a light intervention operation for improving the user's circadian rhythm according to the feedback of the actual cumulative amount.

[0070] In this embodiment, the cumulative light dose is the cumulative photobiological effect. Therefore, the actual cumulative amount is the actual cumulative photobiological effect DCLAt.

[0071] It should be noted that the light environment information may include the actual value of the cumulative light dose or the indirect information for calculating the actual value of the cumulative light dose.

[0072] For example, the light environment information is output by the light environment acquisition module. Based on the functionality of the light environment acquisition module, the light environment acquisition module can directly output the actual value of the cumulative light dose or output the indirect information for calculating the actual value of the cumulative light dose.

[0073] Therefore, the light environment information includes the cumulative light dose (for example, the cumulative photobiological effect) or the light parameters for characterizing the rhythm stimulation level. The light parameters include the absolute spectral energy distribution and the rhythm illuminance (CicadianLight, CLA ), rhythm stimulation value (CS t,f ), and one or more of melanopic daylight equivalent illuminance.

[0074] In this embodiment, the light dose cumulative amount includes the cumulative amount of the rhythm stimulation dose at each moment or the cumulative amount of the photobiological effect, and the cumulative amount of the photobiological effect is equal to the sum of the products of the rhythm stimulation dose at each moment and the effect vector of the light at the corresponding moment on the rhythm phase migration.

[0075] Therefore, the method for obtaining the rhythm stimulation dose includes: calculating the real-time rhythm stimulation dose by using a rhythm stimulation value model, and the rhythm stimulation dose is represented by rhythm illuminance or rhythm stimulation value; or calculating the real-time rhythm stimulation dose by using a melanopic equivalent illuminance model, and the rhythm stimulation dose is represented by melanopic daylight equivalent illuminance.

[0076] In this embodiment, the circadian rhythm phase adjustment method further includes: performing step S80, setting the rhythm phase shift time response data of the user according to the user information, and the rhythm phase shift time response data is used to represent the effect vector of the light on the rhythm phase migration at each moment.

[0077] Correspondingly, the method for obtaining the light dose cumulative amount includes: obtaining rhythm stimulation dose data, where the rhythm stimulation dose data is used to represent the rhythm stimulation dose at each moment; calculating the sum of the products of the rhythm stimulation dose at each moment and the corresponding effect vector.

[0078] Specifically, in step S40, obtaining the actual value of the light dose cumulative amount as the actual cumulative amount based on the collected light environment information includes: obtaining the actual rhythm stimulation dose data through the collected light environment information; calculating the sum of the products of the rhythm stimulation dose at each moment and the corresponding effect vector to obtain the cumulative amount of the photobiological effect at the current detection moment, and the cumulative amount of the photobiological effect at the current detection moment is used as the actual value of the light dose cumulative amount.

[0079] Calculating the sum of the products of the rhythm stimulation dose at each moment and the corresponding effect vector to obtain the cumulative amount of the photobiological effect at the current detection moment, thereby constructing the DCLA model. It can be understood that in the case of a sufficient number of time points, it can be regarded as the integration of the rhythm phase shift time response curve and the rhythm stimulation dose curve related to the time factor.

[0080] The DCLA model can calculate the circadian rhythm migration amount of the current day based on the cumulative amount of photobiological effects absorbed by the user's eye position at different times of the day. Therefore, based on the DCLA model, the migration amount and direction of the human circadian rhythm can be predicted by continuously collecting the illuminance and spectral data of the human eye position. On this basis, the actual cumulative amount DCLAt can be compared with the reference cumulative amount DCLAr corresponding to the target value of the rhythm phase migration to determine whether the light intake in the current period is appropriate, and then the light intervention dose can be determined according to the judgment result to achieve personalized management of the human "biological clock".

[0081] By calculating the sum of the products of the rhythm stimulation doses at each moment and the corresponding effect vectors, the cumulative amount of photobiological effects at the current detection moment is obtained, thereby realizing the reasonable quantification of the cumulative amount of photobiological effects.

[0082] It should be noted that for the same rhythm stimulation dose, due to the different lighting time points in a day, the effects on the circadian rhythm are different. Therefore, the rhythm phase shift time response data is used to represent the effect vectors of the lighting at different lighting time points on the rhythm phase migration. The effect vector is dimensionless and has positive and negative weight coefficients, where positive and negative respectively represent delaying and advancing the circadian rhythm, and the numerical value of the effect amount represents the degree of influence on the circadian rhythm.

[0083] As an example, in the rhythm phase shift time response data, the midpoint of the range of lighting time in a day is the time point corresponding to the lowest point of the human core body temperature.

[0084] As an example, the rhythm phase shift time response data can be represented by a curve.

[0085] As Figure 3 shown Figure 3 shows a schematic diagram of the rhythm phase shift time response curve D(t) of an embodiment. Different radius positions represent the effect vectors. Along the diameter direction from the center of the circle to the outermost circle, the effect vectors at each radius position change from negative to 0 and then to positive. The external clocks are distributed in sequence along the circumferential direction of the outer circle, with a range from -12 hours to 12 hours.

[0086] It should be noted that the D(t) curve is a curve composed of discrete points, and the step size of the discrete points can be set according to requirements. For example, the equal interval step sizes can be 1 second, 1 minute, 5 minutes, 10 minutes, 1 hour, etc. Figure 2 The one shown in

[0087] It should also be noted that the geographical location information reflects the time zone where the user is located, while the sleep time type reflects the user's circadian rhythm. Both the geographical location information and the sleep time type will affect the effect vector generated by light on the user's rhythm phase migration. Therefore, in this embodiment, based on the user's geographical location information and sleep time type, the rhythm phase shift time response data adapted to the user is obtained.

[0088] For example, as Figure 3 can be seen, different sleep time types have corresponding D(t) curves, so that the rhythm phase shift time response curve adapted to the user can be obtained through the sleep time type.

[0089] It can be understood that when configuring the corresponding rhythm phase shift time response data for the user, other user information can also be considered at the same time. For example, one or both of age and gender. Correspondingly, according to actual needs, the classification of the rhythm phase shift time response data (for example, the D(t) curve) adopts a more refined classification standard.

[0090] It should be noted that in some other embodiments, the rhythm phase shift time response data can also be represented by a sequence, as long as it can represent the corresponding relationship between the effect vector and the moment.

[0091] As an example, in obtaining the actual rhythm stimulus dose data from the collected light environment information, the method for obtaining the rhythm stimulus dose at each moment includes: calculating the real-time rhythm stimulus dose using the rhythm stimulus dose (CircadianStimulus, CS) model, and the rhythm stimulus dose at each moment is represented by the rhythm illuminance (CicadianLight, CL A ) or the rhythm stimulus value (CS t,f ).

[0092] Taking the example of calculating the real-time rhythm stimulus dose using the rhythm stimulus value model, the calculation of the CS model needs to first calculate the rhythm illuminance according to the spectral characteristics, and then calculate the rhythm stimulus value according to the rhythm illuminance. Therefore, the rhythm illuminance and the rhythm stimulus value are obtained using formulas (2) to (4):

[0093]

[0094] b - y = ∫S cλ E λ dλ - k∫V cλ E λ dλ (3);

[0095] where RodSat = 6.5W / m 2 , a b-y = 0.21, a rod1 = 2.30, arod2 = 1.60, g1 = 1.00, g2 = 0.16;

[0096]

[0097] Among them, t represents the stimulation duration (hours), applicable to 0.5 - 3 hours, f represents the visual field coefficient, the value of f is 1, 2 or 0.5, and a visual field coefficient equal to 2 represents full - field light stimulation, a visual field coefficient equal to 1 represents central - field light stimulation, and a visual field coefficient equal to 0.5 represents upper - field light stimulation.

[0098] In some other embodiments, the method for obtaining the rhythm stimulation dose at each moment includes: calculating the real - time rhythm stimulation dose using the Melanopic EDI (Equivalent Daylight Illuminance) model, and the rhythm stimulation dose at each moment is represented by the Melanopic daylight equivalent illuminance.

[0099] Specifically, the Melanopic daylight equivalent illuminance is calculated using formula (5) and formula (6):

[0100] E mel = ∫E e,λ (λ)S mel (λ)dλ (5);

[0101] MelanopicEDI = E mel / 13262 (6);

[0102] Among them, S mel (λ) is the Melanopic spectral response curve.

[0103] Correspondingly, within a biological day (i.e., - 12 hours to 12 hours), the rhythm stimulation doses at multiple moments are collected to obtain the rhythm stimulation dose data composed of discrete points.

[0104] It should be noted that the step size of the discrete points can be set according to requirements. For example, the equal - interval step sizes can be 1 second, 1 minute, 5 minutes, 10 minutes, 1 hour. As an example, the equal - interval step size is 1 hour.

[0105] As an example, the rhythm stimulation dose data can be represented by a curve, so a curve formed by the rhythm stimulation doses received every hour can be obtained.

[0106] Therefore, in this embodiment, the cumulative amount of photobiological effect is calculated using formula (7):

[0107]

[0108] Among them, DCLA represents the cumulative amount of photobiological effect, -T is -12, representing the 12 hours before the lowest point of the human core body temperature, T is 12, representing the 12 hours after the lowest point of the human core body temperature, ESD(t) represents the daily circadian rhythm stimulation dose curve, and D(t) represents the rhythm phase shift time response curve.

[0109] In some other embodiments, the rhythm stimulation dose data can also be represented by a sequence, as long as it can represent the corresponding relationship between the rhythm stimulation dose and the time.

[0110] It should be noted that in other embodiments, the light dose cumulative amount can also be calculated only using the rhythm stimulation dose, that is to say, the light dose cumulative amount is the cumulative amount of the rhythm stimulation dose.

[0111] Correspondingly, the method for obtaining the light dose cumulative amount includes: obtaining rhythm stimulation dose data, where the rhythm stimulation dose data is used to represent the rhythm stimulation dose at each moment; calculating the sum of the rhythm stimulation doses at each moment.

[0112] Specifically, obtaining the actual value of the light dose cumulative amount as the actual cumulative amount based on the collected light environment information includes: obtaining the actual rhythm stimulation dose data through the collected light environment information, where the rhythm stimulation dose data is used to represent the rhythm stimulation dose at each moment; calculating the sum of the rhythm stimulation doses at each moment to obtain the actual value of the light dose cumulative amount.

[0113] Correspondingly, when only using the rhythm stimulation dose to calculate the light dose cumulative amount, step S80 can also be omitted.

[0114] Continue to refer to Figure 1 , and execute step S50: Based on the target cumulative amount, determine whether the actual cumulative amount at the current detection moment of the user meets the requirements.

[0115] By determining whether the actual cumulative amount at the current detection moment of the user meets the requirements, it is possible to determine whether it is necessary to perform a light intervention operation to meet the user's circadian rhythm requirements.

[0116] Combined with reference to Figure 2 , in this embodiment, based on the target cumulative amount, determining whether the actual cumulative amount at the current detection moment of the user meets the requirements includes: executing step S51, based on the target cumulative amount of the light dose cumulative amount, setting the reference cumulative amount (for example, the reference cumulative amount DCLAr of the photobiological effect cumulative amount) of the light dose cumulative amount that should be reached at each detection moment as the reference data; executing step S52, obtaining the difference between the actual cumulative amount at the current detection moment and the reference cumulative amount at the corresponding detection moment in the reference data; executing step S53, based on the difference, determining whether the actual cumulative amount at the current detection moment of the user meets the requirements.

[0117] By monitoring the external light environment and comparing the actual cumulative amount at the current detection time with the reference cumulative amount at the corresponding detection time in the reference data, a light environment feedback adjustment loop is obtained to perform light intervention operations in a timely manner.

[0118] Moreover, each detection time has a corresponding reference cumulative amount, thereby reducing the difficulty of determining whether the actual cumulative amount at the current detection time meets the requirements and making the determination process more objective.

[0119] In this embodiment, based on the difference, it is determined whether the actual cumulative amount at the current detection time of the user meets the requirements, including: determining whether the absolute value of the difference is less than or equal to the first threshold a. If so, it is determined that the actual cumulative amount at the current detection time meets the requirements; otherwise, it is determined that the actual cumulative amount at the current detection time does not meet the requirements. Wherein, the first threshold a is a non - negative number.

[0120] Continue to refer to Figure 2 , that is to say, step S50 further includes: when |DCLAt - DCLAr| ≤ a, execute step S56, and determine that the actual cumulative amount at the current detection time of the user meets the requirements; when DCLAt - DCLAr < - a or when DCLAt - DCLAr > a, determine that the actual cumulative amount at the current detection time of the user does not meet the requirements. Here, a is the first threshold. Specifically, when DCLAt - DCLAr < - a, execute step S55, and determine that the actual cumulative amount at the current detection time of the user is insufficient; when DCLAt - DCLAr > a, execute step S54, and determine that the actual cumulative amount at the current detection time of the user is excessive.

[0121] The actual cumulative amount at the current detection time may be greater than the reference cumulative amount at the corresponding detection time or may be less than the reference cumulative amount at the corresponding detection time. However, if the absolute value of the difference is less than or equal to the first threshold, it is regarded that the actual cumulative amount at the current detection time is close to the reference cumulative amount.

[0122] The setting of the first threshold affects the accuracy of circadian rhythm phase adjustment and the frequency of performing light intervention operations.

[0123] As an example, the first threshold is: the cumulative amount deviation corresponding to making the rhythm phase migration deviation amount equal to the second threshold, where the rhythm phase migration deviation amount is equal to the absolute value of the difference between the target value and the actual value of the rhythm phase migration; wherein, the second threshold is a non - negative number.

[0124] In the phase prediction model, the Boltzmann function is used to represent the effect of light dose accumulation on the rhythm phase migration. Since the Boltzmann function is an S-shaped curve, the sensitivity of the accumulation deviation of the light dose accumulation to the deviation of the rhythm phase migration is different at different positions of the S-shaped curve. Therefore, the second threshold of the rhythm phase migration deviation is used to set the first threshold.

[0125] In addition, according to the different models selected, the sensitivity of the accumulation deviation of the light dose accumulation to the deviation of the rhythm phase migration is also different. Therefore, the second threshold of the rhythm phase migration deviation is used to set the first threshold.

[0126] Specifically, the second threshold is less than or equal to 0.5, and the second threshold is relatively small, which is beneficial to improving the accuracy of circadian rhythm phase regulation.

[0127] It should be noted that the first threshold can be the integer value obtained by rounding the accumulation deviation based on the second threshold.

[0128] In this embodiment, before setting the reference accumulation of the light dose accumulation that should be reached at each detection moment as reference data, the following is further included: performing step S85: based on the target accumulation of the light dose accumulation, setting the rhythm stimulation dose that should be reached at each moment as the reference dose.

[0129] Correspondingly, setting the reference accumulation of the light dose accumulation that should be reached at each detection moment as reference data includes: obtaining the reference accumulation of the light dose accumulation that should be reached at each detection moment as reference data according to the reference dose that should be reached at each moment.

[0130] Specifically, the light dose accumulation is related to the rhythm stimulation dose at each moment. Therefore, after obtaining the target accumulation of the light dose accumulation, the rhythm stimulation dose that should be reached at each moment is allocated as the reference dose according to the acquisition method of the light dose accumulation.

[0131] For example, in the case where the light dose accumulation is the photobiological effect accumulation, the rhythm stimulation dose that should be reached at each moment is allocated as the reference dose according to the target accumulation of the light dose accumulation and the effect vector of the light at each moment on the rhythm phase migration.

[0132] It should be noted that the calculation method of the reference accumulation is the same as that of the actual accumulation.

[0133] As an example, the reference dose can be represented by a curve. For example, please refer to Figure 4 , Figure 4It is a schematic diagram of the daily circadian rhythm stimulation dose curve corresponding to the reference dose provided by an embodiment of the present invention. The abscissa of the daily circadian rhythm stimulation dose curve represents time (hours), and the ordinate represents the rhythm stimulation dose.

[0134] Therefore, in some other embodiments, it is also possible to determine whether the actual cumulative amount at the current detection moment of the user meets the requirements based on the difference and the change trend of the reference dose after the current detection moment.

[0135] By setting the rhythm stimulation dose that should be achieved at each moment as the reference dose based on the target cumulative amount of the light dose cumulative amount, the overall change trend of the rhythm stimulation dose can be reflected, thereby assisting in the judgment of whether a light intervention operation needs to be performed at the current detection moment. That is, comprehensively considering the difference and the change trend of the reference dose after the current detection moment to determine whether a light intervention operation needs to be performed, which is beneficial to reducing unnecessary light intervention operations.

[0136] For example, if the actual cumulative amount at the current detection moment is greater than the reference cumulative amount at the corresponding detection moment in the reference data, and the difference does not meet the requirements, but the reference dose after the current detection moment is small, and the final light dose cumulative amount can meet the requirements even if no light intervention operation is performed at present, then the light intervention operation can be omitted, thereby avoiding the need for additional light supplementation operations after performing a light shielding operation at present.

[0137] In some other embodiments, the reference cumulative amount of the light dose cumulative amount in the reference data can also be represented in the form of a sequence.

[0138] In still some other embodiments, the rhythm stimulation dose that should be achieved at each moment as the reference dose can also be represented in the form of a sequence.

[0139] It can be understood that in other embodiments, step S85 can also be omitted.

[0140] It should be noted that increasing the number of detection moments is beneficial to improving the timeliness of circadian rhythm phase adjustment. At the same time, it is also easy to improve the accuracy of circadian rhythm phase adjustment by superimposing the adjustment effects of multiple detection moments.

[0141] In this embodiment, the range of the detection moments is the daily cycle (for example, -12 hours to 12 hours), and the detection moments are distributed at a preset step length. For example, the preset step length is 1 second, 1 minute, 5 minutes, 10 minutes, or 1 hour. As an example, the preset step length is 1 hour.

[0142] In other embodiments, it is also possible to perform an evaluation at specific time points. For example, the detection moments include noon and sunset.

[0143] Reducing the number of detection times is beneficial to reducing the number of light intervention operations.

[0144] Generally speaking, receiving light stimulation in the evening and at night will delay the circadian rhythm. Therefore, two detection times, namely the noon time and the sunset time, are set so as to promote the advancement of the circadian rhythm based on the evaluation result at the noon time and delay the circadian rhythm based on the evaluation result at the sunset time.

[0145] Continue to refer to Figure 1 , perform step S60: When the actual cumulative amount at the current detection time does not meet the requirements, perform a light intervention operation, and the light intervention operation is used to correct the rhythm phase migration of the target day.

[0146] Improve the user's circadian rhythm through the light intervention operation.

[0147] In this embodiment, the light intervention operation includes: when the actual cumulative amount at the current detection time is insufficient, performing a supplementary light operation to increase the user's light intake; when the actual cumulative amount at the current detection time is excessive, performing a light shielding operation to reduce the user's light intake.

[0148] Increasing the light intake means increasing the rhythm stimulation dose, and reducing the user's light intake means reducing the rhythm stimulation dose.

[0149] Specifically, the increase or decrease amount of the light intake can be determined according to the difference between the actual cumulative amount at the current detection time and the reference cumulative amount at the corresponding detection time in the reference data.

[0150] As an example, the way of the supplementary light operation includes: controlling the light source module to perform supplementary light, or controlling the display screen to perform supplementary light.

[0151] By setting a light source module for performing supplementary light, it is easy to meet different ways of supplementary light operations. For example, performing a supplementary light operation through a light source module set on glasses, or performing a supplementary light operation through a lamp, where the lamp can include a desktop flat lamp or a table lamp, etc.

[0152] Perform supplementary light based on the display screen, thereby improving the compatibility of the supplementary light operation with daily life. For example, perform a supplementary light operation through the display screen of a mobile terminal.

[0153] As an example, the way of the light shielding operation includes: controlling the light transmittance of the spectacle lens to decrease. When the light dose received by the user is too high currently, reduce the light dose intake by reducing the light transmittance of the spectacle lens.

[0154] Glasses are wearable devices that can achieve personalized circadian rhythm phase adjustment by controlling the reduction of the light transmittance of the glasses lenses, and reduce the impact of the shading operation on the surrounding environment or the daily life of others.

[0155] Continue to refer to Figure 1 The circadian rhythm phase adjustment method further includes: performing step S70: when the actual cumulative amount at the current detection moment meets the requirements, no light intervention operation is performed.

[0156] For example, when no light intervention operation is performed, a prompt message indicating good light usage habits can be displayed.

[0157] It can be seen that in the circadian rhythm phase adjustment method described in this embodiment, since the target values of the rhythm phase migration of the target day are first obtained by using the target sleep time and the target wake-up time to quantify the target values of the light dose cumulative amount required by the user on the target day, and based on the monitoring of the light environment and the monitoring of the actual cumulative amount of the user at the detection moment, a light intervention operation can be performed when the requirements are not met to achieve customized induction intervention on the human circadian rhythm phase.

[0158] Quantify the target value of the light dose cumulative amount required by the user on the target day. Through the physical quantity test and record of the light environment and the setting of the light dose cumulative amount, perform customized induction intervention on the human circadian rhythm phase, reduce the user's subjective feedback on sleep quality and the dependence on physiological parameters (such as heart rate variability, etc.), make the data used in the circadian rhythm phase adjustment method more objective, and at the same time simplify the complex physiological index monitoring process and correspondingly reduce the adjustment complexity.

[0159] The method is evaluated based on the light dose cumulative amount, so that the influence of the light history of the current day can be considered, and the probability of problems such as excessive light supplementation or insufficient light supplementation can be reduced.

[0160] Perform light intervention operations based on the target values of rhythm phase migration, so as to be able to regulate the user's circadian rhythm directionally and quantitatively.

[0161] In summary, the circadian rhythm phase adjustment method described in this embodiment is beneficial to improving the accuracy of circadian rhythm phase adjustment.

[0162] In addition, the method can still perform light intervention for users with rhythm disorders, rhythm phase advance, rhythm phase delay, non-24-hour rhythm syndrome, jet lag syndrome, seasonal depression, etc., and the application range of the circadian rhythm phase adjustment method is relatively wide.

[0163] Moreover, the method can be adaptively adjusted according to the external light environment, so as to reduce energy consumption while improving the user's comfort and reducing the impact on the user's visual function.

[0164] Again, in the circadian rhythm phase adjustment method described in this embodiment, the dependence on physiological detection devices is relatively low, thereby reducing the hardware cost, improving the compatibility with wearable devices (such as AR devices or VR devices), and having a flexible application scenario.

[0165] Continue to refer to Figure 1 , the circadian rhythm phase adjustment method further includes: performing step S90: obtaining the actual value of the rhythm phase migration on the target day based on the actual sleep time and actual awakening time of the user on the target day; performing step S95: after obtaining the actual data of multiple target days of the user, re-fitting the phase prediction model based on the actual data to correct the coefficients in the phase prediction model. The actual data of each target day includes the actual value of the rhythm phase migration and the actual value of the light dose accumulation.

[0166] Correct the coefficients in the phase prediction model to obtain a corrected phase prediction model.

[0167] The phase prediction model is a relationship model between the rhythm phase migration and the light dose accumulation. The accuracy of the phase prediction model affects the target value of the light dose accumulation, thereby affecting the judgment result of whether the actual accumulation of the user meets the requirements. Therefore, correcting the coefficients in the phase prediction model based on the actual data of multiple target days of the user to obtain a circadian rhythm phase feedback adjustment loop is beneficial to improving the accuracy of circadian rhythm phase adjustment.

[0168] Correspondingly, the present invention also provides a circadian rhythm phase adjustment system. Figure 5 It is a schematic structural diagram of a circadian rhythm phase adjustment system in an embodiment of the present invention.

[0169] Refer to Figure 5, the circadian rhythm phase adjustment system includes: a user information collection module 10 for obtaining user information, including the user's circadian rhythm phase information, where the circadian rhythm phase information includes the target sleep time and target wake-up time of the target day, and is further configured to obtain the target value of the rhythm phase migration of the target day based on the target sleep time and target wake-up time; a prediction module 20 for using a phase prediction model to obtain the target value of the light dose accumulation of the target day as the target accumulation based on the target value of the rhythm phase migration, where the phase prediction model is a relationship model between the rhythm phase migration and the light dose accumulation, and is further configured to obtain the actual value of the light dose accumulation as the actual accumulation based on the collected light environment information, and based on the target accumulation, and is further configured to determine whether the actual accumulation at the current detection moment of the user meets the requirements; a light intervention control module 30 for responding to the judgment result of the prediction module and performing a light intervention operation when the actual accumulation at the current detection moment does not meet the requirements, where the light intervention operation is used to correct the rhythm phase migration of the target day.

[0170] The user information collection module 10 is configured to collect user information to obtain information related to the user's circadian rhythm.

[0171] As an example, the circadian rhythm phase adjustment system may be integrated into a mobile terminal (for example, integrated into an application of a mobile terminal). The mobile terminal may include a mobile phone, a tablet computer, a portable computer, or other intelligent devices with interactive functions. For example, the intelligent device may include an AR (Augmented Reality) device, a VR (Virtual Reality) device, or a HUD (head-up display) device, etc.

[0172] It should be noted that the user information may also include other types of information. In this embodiment, the user information further includes a user profile, and the user profile includes the user's geographical location information and sleep time type.

[0173] It can be understood that increasing the richness of the user information is beneficial to improving the accuracy of circadian rhythm phase adjustment. Therefore, the user information may not be limited to the target sleep time, target wake-up time, geographical location information, and sleep time type. For example, the user profile may further include one or both of age and gender; the circadian rhythm phase information may further include the user's daily sleep time and daily wake-up time, and the daily sleep time and daily wake-up time reflect the user's sleep habits to determine the reference time corresponding to the lowest point of the user's core body temperature.

[0174] For the relevant description of user information, reference may be made to the records in the foregoing embodiments, which will not be elaborated herein.

[0175] The prediction module 20 applies the relationship model between the rhythm phase shift and the light dose accumulation. Therefore, the target value of the rhythm phase shift is obtained through the user information collection module 10, so as to subsequently calculate the target value of the light dose accumulation required by the user on the target day to meet the target value of the rhythm phase shift based on this relationship model.

[0176] In this embodiment, the method for the user information collection module 10 to obtain the target value of the rhythm phase shift on the target day includes: based on the user's daily bedtime and daily wake-up time, obtaining the reference time corresponding to the lowest point of the user's core body temperature; based on the reference time, as well as the target bedtime and target wake-up time, obtaining the time offset relative to the reference time as the target value of the rhythm phase shift on the target day.

[0177] For example, the method for obtaining the time offset relative to the reference time includes: calculating the midpoint of the sleep time based on the target bedtime and target wake-up time; delaying one hour based on the midpoint of the sleep time as the time corresponding to the lowest point of the user's core body temperature on the target day, so as to obtain the time offset relative to the reference time.

[0178] In this embodiment, in order to improve the accuracy of the target value of the rhythm phase shift, the target value of the rhythm phase shift on the target day can be obtained based on the target bedtime, target wake-up time, geographical location information, and sleep time type.

[0179] The prediction module 20 adopts a quantization model related to the light dose accumulation, which is conducive to realizing the prediction of the melatonin inhibition rate under nighttime light intervention and the daily circadian rhythm phase shift.

[0180] In this embodiment, in the phase prediction model, the light dose accumulation is the photobiological effect accumulation, and the target accumulation is correspondingly the target value of the photobiological effect accumulation.

[0181] In other embodiments, the light dose accumulation in the phase prediction model can also be: the accumulation of the rhythm stimulation doses at each moment; where the accumulation of the rhythm stimulation doses is the sum of the rhythm stimulation doses at each moment.

[0182] In this embodiment, the rhythm stimulation dose includes: rhythm illuminance, rhythm stimulation value, or melanopic daylight equivalent illuminance.

[0183] In this embodiment, the phase prediction model is a relationship model between the rhythm phase migration, the light dose accumulation, the maximum forward shift of the human rhythm phase migration, and the maximum backward shift of the human rhythm phase migration, and the maximum forward shift of the human rhythm phase migration and the maximum backward shift of the human rhythm phase migration are coefficients of the phase prediction model.

[0184] For the specific description of the phase prediction model, reference can be made to the relevant records in the foregoing embodiments, which will not be elaborated here.

[0185] The rhythm phase migration and the light dose accumulation satisfy a specific relationship. Therefore, after obtaining the target value of the rhythm phase migration, substituting this target value into the phase prediction model can obtain the target value of the light dose accumulation on the target day.

[0186] The prediction module 20 realizes light dose feedback by collecting the light dose accumulation in the actual light environment information, and then determines whether it is necessary to perform a light intervention operation for improving the user's circadian rhythm according to the actual light dose feedback.

[0187] In this embodiment, the light dose accumulation is the photobiological effect accumulation, so the actual accumulation is the actual photobiological effect accumulation DCLAt.

[0188] It should be noted that the light environment information may include the actual value of the light dose accumulation or the indirect information for calculating the actual value of the light dose accumulation.

[0189] For example, the light environment information is output by the light environment acquisition module. Based on the functionality of the light environment acquisition module, the light environment acquisition module can directly output the actual value of the light dose accumulation or the indirect information for calculating the actual value of the light dose accumulation.

[0190] Therefore, the light environment information includes the light dose accumulation (for example, the photobiological effect accumulation) or the lighting parameters for characterizing the rhythm stimulation level, and the lighting parameters include the absolute spectral energy distribution, the circadian illuminance (CicadianLight, CL A ), the circadian stimulation value (CS t,f ) and one or more of the melanopic daylight equivalent illuminance.

[0191] In this embodiment, the prediction module 20 is further configured to set the rhythm phase shift time response data of the user according to the user information, and the rhythm phase shift time response data is used to represent the effect vector of the light on the rhythm phase migration at each moment.

[0192] Specifically, the prediction module 20 includes: a first data acquisition unit 40, configured to set the rhythm phase shift time response data of the user according to the user information, where the rhythm phase shift time response data is used to represent the effect vector of light on the rhythm phase migration at each moment; a second data acquisition unit (not shown in the figure), configured to obtain the actual rhythm stimulation dose data through the collected light environment information, where the rhythm stimulation dose data is used to represent the rhythm stimulation dose at each moment; and a calculation unit (not shown in the figure), configured to calculate the sum of the products of the rhythm stimulation dose at each moment and the corresponding effect vector, so as to obtain the cumulative photobiological effect at the current detection moment, and the cumulative photobiological effect at the current detection moment is used as the actual value of the light dose accumulation.

[0193] For the descriptions of the rhythm phase shift time response data and the rhythm stimulation dose data, reference can be made to the relevant records in the foregoing embodiments, and details are not described herein again.

[0194] It can be understood that when configuring the corresponding rhythm phase shift time response data for the user, other user information can also be considered simultaneously, for example, one or both of age and gender.

[0195] As an example, in obtaining the actual rhythm stimulation dose data through the collected light environment information, the method for obtaining the rhythm stimulation dose at each moment includes: calculating the real-time rhythm stimulation dose using a rhythm stimulation value model, and the rhythm stimulation dose at each moment is represented by rhythm illuminance or a rhythm stimulation value.

[0196] Correspondingly, within a biological day (i.e., -12 hours to 12 hours), the rhythm stimulation dose is collected at multiple moments, so as to obtain the rhythm stimulation dose data composed of discrete points.

[0197] It should be noted that the step size of the discrete points can be set according to requirements. For example, the equal interval step sizes can be 1 second, 1 minute, 5 minutes, 10 minutes, or 1 hour. As an example, the equal interval step size is 1 hour.

[0198] As an example, the rhythm stimulation dose data can be represented by a curve, so a curve formed by the rhythm stimulation dose received per hour can be obtained.

[0199] Therefore, in this embodiment, the cumulative photobiological effect is calculated using formula (7):

[0200]

[0201] Among them, DCLA represents the cumulative amount of photobiological effect, -T is -12, representing the 12 hours before the lowest point of the human core body temperature, T is 12, representing the 12 hours after the lowest point of the human core body temperature, ESD(t) represents the daily circadian rhythm stimulation dose curve, and D(t) represents the rhythm phase shift time response curve.

[0202] It should be noted that in other embodiments, the prediction module may also omit the first data acquisition unit and only use the rhythm stimulation dose to calculate the light dose cumulative amount. That is to say, the light dose cumulative amount is the cumulative amount of the rhythm stimulation dose.

[0203] Correspondingly, the prediction module includes: a second data acquisition unit (not shown in the figure), configured to obtain actual rhythm stimulation dose data through the collected light environment information, where the rhythm stimulation dose data is used to represent the rhythm stimulation dose at each moment; a calculation unit, configured to calculate the sum of the rhythm stimulation doses at each moment to obtain the actual value of the light dose cumulative amount.

[0204] The prediction module 20 determines whether the actual cumulative amount at the current detection moment of the user meets the requirements, so as to determine whether it is necessary to perform a light intervention operation to meet the user's circadian rhythm requirements.

[0205] In this embodiment, the prediction module 20 further includes: a reference cumulative amount providing unit (not shown in the figure), configured to set a reference cumulative amount (for example, the reference cumulative amount DCLAr of the photobiological effect cumulative amount) of the light dose cumulative amount that should be reached at each detection moment based on the target cumulative amount of the light dose cumulative amount as reference data; a difference obtaining unit (not shown in the figure), configured to obtain the difference between the actual cumulative amount at the current detection moment and the reference cumulative amount at the corresponding detection moment in the reference data; a judgment unit (not shown in the figure), configured to judge whether the actual cumulative amount at the current detection moment of the user meets the requirements based on the difference.

[0206] By monitoring the external light environment and comparing the actual cumulative amount at the current detection moment with the reference cumulative amount at the corresponding detection moment in the reference data, a light environment feedback adjustment loop is obtained to perform a light intervention operation in a timely manner.

[0207] Moreover, each detection moment has a corresponding reference cumulative amount, which reduces the difficulty of judging whether the actual cumulative amount at the current detection moment meets the requirements and makes the judgment process more objective.

[0208] Specifically, determining whether the actual cumulative amount at the current detection time of the user meets the requirements based on the difference includes: determining whether the absolute value of the difference is less than or equal to the first threshold a. If so, it is determined that the actual cumulative amount at the current detection time meets the requirements; otherwise, it is determined that the actual cumulative amount at the current detection time does not meet the requirements. Wherein, the first threshold a is a non-negative number.

[0209] That is to say, when |DCLAt - DCLAr| ≤ a, it is determined that the actual cumulative amount at the current detection time of the user meets the requirements; when DCLAt - DCLAr < -a or when DCLAt - DCLAr > a, it is determined that the actual cumulative amount at the current detection time of the user does not meet the requirements. Here, a is the first threshold.

[0210] Specifically, when DCLAt - DCLAr < -a, it is determined that the actual cumulative amount at the current detection time of the user is insufficient; when DCLAt - DCLAr > a, it is determined that the actual cumulative amount at the current detection time of the user is excessive.

[0211] The actual cumulative amount at the current detection time may be greater than the reference cumulative amount at the corresponding detection time or may be less than the reference cumulative amount at the corresponding detection time. However, if the absolute value of the difference is less than or equal to the first threshold, the actual cumulative amount at the current detection time is regarded as being close to the reference cumulative amount.

[0212] The setting of the first threshold affects the accuracy of circadian rhythm phase regulation and the frequency of performing light intervention operations.

[0213] As an example, the first threshold is: the cumulative amount deviation corresponding to making the rhythm phase migration deviation equal to the second threshold, where the rhythm phase migration deviation is the absolute value of the difference between the target value and the actual value of the rhythm phase migration; wherein, the second threshold is a non-negative number.

[0214] In the phase prediction model, the Boltzmann function is used to represent the influence of light dose accumulation on rhythm phase migration. Since the Boltzmann function is an S-shaped curve, at different positions of the S-shaped curve, the sensitivity of the cumulative amount deviation of the light dose accumulation to the rhythm phase migration deviation is different. Therefore, the second threshold of the rhythm phase migration deviation is used to set the first threshold.

[0215] In addition, depending on the model selected, the sensitivity of the cumulative amount deviation of the light dose accumulation to the rhythm phase migration deviation is also different. Therefore, the second threshold of the rhythm phase migration deviation is used to set the first threshold.

[0216] Specifically, the second threshold is less than or equal to 0.5, and the second threshold is relatively small, which is conducive to improving the accuracy of circadian rhythm phase regulation.

[0217] It should be noted that the first threshold value may be a value obtained by rounding the cumulative amount deviation based on the second threshold value.

[0218] In this embodiment, the prediction module 20 further includes: a reference dose providing unit (not shown in the figure), configured to set the rhythm stimulation dose that should be reached at each moment as a reference dose based on the target cumulative amount of the light dose cumulative amount.

[0219] Correspondingly, the reference cumulative amount providing unit is configured to obtain the reference cumulative amount of the light dose cumulative amount that should be reached at each detection moment as reference data according to the reference dose that should be reached at each moment.

[0220] Specifically, the light dose cumulative amount is related to the rhythm stimulation dose at each moment. Therefore, after obtaining the target cumulative amount of the light dose cumulative amount, the rhythm stimulation dose that should be reached at each moment is allocated as the reference dose according to the acquisition method of the light dose cumulative amount.

[0221] For example, in the case where the light dose cumulative amount is the photobiological effect cumulative amount, the rhythm stimulation dose that should be reached at each moment is allocated as the reference dose according to the target cumulative amount of the light dose cumulative amount and the effect vector of the light at each moment on the rhythm phase migration.

[0222] It should be noted that the calculation method of the reference cumulative amount is the same as that of the actual cumulative amount.

[0223] As an example, the reference dose can be represented by a curve. For example, please refer to Figure 4 , Figure 4 is a schematic diagram of the daily circadian rhythm stimulation dose curve corresponding to the reference dose provided by an embodiment of the present invention. The abscissa of the daily circadian rhythm stimulation dose curve represents time (hours), and the ordinate represents the rhythm stimulation dose.

[0224] Therefore, in some other embodiments, the determination unit may further determine whether the actual cumulative amount of the user at the current detection moment meets the requirements based on the difference and the change trend of the reference dose after the current detection moment.

[0225] Setting the rhythm stimulation dose that should be reached at each moment as the reference dose based on the target cumulative amount of the light dose cumulative amount can reflect the overall change trend of the rhythm stimulation dose, thereby playing an auxiliary role in determining whether a light intervention operation needs to be performed at the current detection moment. That is, considering the difference and the change trend of the reference dose after the current detection moment to determine whether a light intervention operation needs to be performed is beneficial to reducing unnecessary light intervention operations.

[0226] In some other embodiments, the reference cumulative amount of the light dose in the reference data can also be represented in a sequential manner.

[0227] In other embodiments, the rhythm stimulation doses that should be achieved at each moment as the reference doses can also be represented in a sequential manner.

[0228] It can be understood that in other embodiments, the reference dose providing unit can also be omitted.

[0229] It should be noted that increasing the number of detection moments is beneficial to improving the timeliness of circadian rhythm phase regulation. At the same time, it is also easy to improve the accuracy of circadian rhythm phase regulation by superimposing the regulation effects of multiple detection moments.

[0230] In this embodiment, the range of the detection moments is a daily cycle (for example, -12 hours to 12 hours), and the detection moments are distributed according to a preset step size. For example, the preset step size is 1 second, 1 minute, 5 minutes, 10 minutes, or 1 hour. As an example, the preset step size is 1 hour.

[0231] In other embodiments, evaluation can also be performed at specific time points. For example, the detection moments include noon and sunset.

[0232] When the actual cumulative amount at the current detection moment by the light intervention control module 30 does not meet the requirements, a light intervention operation is performed. The light intervention operation is used to correct the rhythm phase migration of the target day, thereby improving the user's circadian rhythm.

[0233] In this embodiment, the light intervention control module 30 is used to perform a supplementary light operation to increase the user's light intake when the actual cumulative amount at the current detection moment is insufficient, and is also used to perform a light shielding operation to reduce the user's light intake when the actual cumulative amount at the current detection moment is excessive.

[0234] As an example, the ways of the supplementary light operation include: controlling the light source module to perform supplementary light, or controlling the display screen to perform supplementary light.

[0235] As an example, the ways of the light shielding operation include: controlling the light transmittance of the spectacle lenses to decrease. When the light dose received by the user is too high currently, the light dose intake is reduced by decreasing the light transmittance of the spectacle lenses.

[0236] In this embodiment, when the actual cumulative amount at the current detection moment by the light intervention control module 30 meets the requirements, no light intervention operation is performed. For example, when no light intervention operation is performed, a prompt message indicating good light usage habits can be displayed.

[0237] It can be seen that in the circadian rhythm phase adjustment system described in this embodiment, since the target value of the rhythm phase migration of the target day is first obtained using the target bedtime and target wake-up time to quantify the target value of the light dose accumulation required by the user on the target day, and based on the monitoring of the light environment and the monitoring of the actual accumulation amount of the user at the detection moment, the light intervention operation can be executed when the requirements are not met to achieve customized induction intervention on the human circadian rhythm phase, which is beneficial to improving the accuracy of circadian rhythm phase adjustment.

[0238] Continue to refer to Figure 5 , the circadian rhythm phase adjustment system further includes: an actual rhythm phase migration acquisition module 40, configured to obtain the actual value of the rhythm phase migration of the target day based on the actual bedtime and actual wake-up time of the user on the target day; a correction module 50, configured to re-fit the phase prediction model based on the actual data after obtaining the actual data of multiple target days of the user, so as to correct the coefficients in the phase prediction model, and the actual data of each target day includes the actual value of the rhythm phase migration and the actual value of the light dose accumulation.

[0239] The phase prediction model is a relationship model between the rhythm phase migration and the light dose accumulation. The accuracy of the phase prediction model affects the target value of the light dose accumulation, thereby affecting the judgment result of whether the actual accumulation amount of the user meets the requirements. Therefore, correcting the coefficients in the phase prediction model based on the actual data of multiple target days of the user to obtain a circadian rhythm phase feedback adjustment loop is beneficial to improving the accuracy of circadian rhythm phase adjustment.

[0240] It should be noted that in this embodiment, the circadian rhythm phase adjustment system is used to implement the circadian rhythm phase adjustment method described in the foregoing embodiment. For the specific description of the circadian rhythm phase adjustment system, reference can be made to the relevant records in the adjustment method described in the foregoing embodiment, which will not be elaborated here.

[0241] Correspondingly, the present invention also provides a circadian rhythm phase adjustment system. Figure 6 It is a schematic structural diagram of an embodiment of the circadian rhythm phase adjustment system of the present invention.

[0242] Refer to Figure 6 , the circadian rhythm phase adjustment system includes: a main control module 100, configured to execute the circadian rhythm phase adjustment method described in the foregoing embodiment; a light intervention execution module 200, configured to execute a corresponding light intervention operation in response to the light intervention operation instruction of the main control module.

[0243] The master control module 100 can give corresponding light intervention strategies based on the target value of the rhythm phase migration of the target day and the actual cumulative amount of light dose in the actual light environment, and in the case where the actual cumulative amount does not meet the requirements. The light intervention execution module 200 is used to respond to the light intervention operation instruction of the master control module 100 and execute the corresponding light intervention operation, so as to improve the user's circadian rhythm and make the adjusted rhythm phase migration meet the user's needs.

[0244] The master control module 100 can be a mobile terminal.

[0245] The mobile terminal can include a mobile phone, a tablet computer, a portable computer or other intelligent devices with interaction functions. For example, the intelligent device can include AR (Augmented Reality) devices, VR (Virtual Reality) devices or HUD (head-up display) devices, etc.

[0246] For the specific description of the master control module 100, reference can be made to the relevant records in the adjustment method described in the foregoing embodiments, and details will not be repeated here.

[0247] In this embodiment, the light intervention execution module 200 includes a supplementary light module 210 and a light shielding module 220. The supplementary light module 210 is used to perform supplementary light operations to increase the user's light intake, and the light shielding module 220 is used to perform light shielding operations to reduce the user's light intake, so as to meet different ways of light intervention operations.

[0248] Specifically, the light intervention execution module 200 includes a supplementary light module 210, and the supplementary light module 210 includes a light source module or a display screen.

[0249] Supplementary light is performed through the light source module, which is easy to meet different ways of supplementary light operations. For example, supplementary light operations are performed through the light source module set on the glasses, or supplementary light is performed through the light source module set in the lamp. Among them, the lamp can include a desktop flat lamp or a table lamp, etc.

[0250] Supplementary light is based on the display screen, so as to improve the compatibility of the supplementary light operation with daily life. For example, supplementary light operations are performed through the display screen of the mobile terminal.

[0251] The light emitted by the light source in the light source module is visible light. Specifically, the peak wavelengths of the light sources in the light source module include but are not limited to 484 nanometers, 550 nanometers and 630 nanometers.

[0252] Peak wavelengths of 484 nm, 550 nm, and 630 nm play important roles in regulating the human circadian rhythm response. 484 nm and 550 nm are sensitive bands, thus being beneficial to improving the rhythm regulation performance of the circadian rhythm adjustment glasses 100. 630 nm is an insensitive band, which is used to balance the spectral chromaticity, serve the visual function, and can provide the illuminance that meets the visual function without disturbing the rhythm at night.

[0253] The light colors of the light sources in the light source module include one or both of blue light and green light, and one or more of red light, amber light, and white light.

[0254] Blue light and green light belong to the sensitive bands for rhythm stimulation, while red light and amber light belong to the insensitive bands for rhythm stimulation. White light is used to meet the light color requirements for normal visual function.

[0255] Among them, by adding one or both of blue light and green light, the regulation effect on the circadian rhythm is improved.

[0256] By adding light sources in the insensitive bands for rhythm stimulation such as red light and amber light, it can play an auxiliary effect on the visual function, enhance the night vision function while reducing the impact on the circadian rhythm.

[0257] By adding white light, it can meet the light color requirements for the normal visual function of users.

[0258] In this embodiment, the light source module includes multiple light sources and is multi-channel adjustable, so that it is easy to make the emitted light be in the band sensitive to the user, so as to achieve effective light dose compensation; in addition, it is also convenient to emit the required light according to the time period or the actual application scenario, so as to reduce the impact on the user's daily life while realizing the circadian rhythm regulation.

[0259] In this embodiment, the light emission types of the light sources in the light source module include one or more of constant light, intermittent light, and frequency-flashing light. Constant light, intermittent light, and frequency-flashing light are related to the human biological response, so they can meet the requirements of circadian rhythm regulation.

[0260] In this embodiment, the light intervention execution module 200 includes a light-shielding module 220, and the light-shielding module 220 includes electrochromic lenses.

[0261] By using electrochromic lenses, when the light dose received by the user is too high, the light dose intake can be reduced by changing the light transmittance of the lenses, and it is also convenient to integrate the electrochromic lenses into glasses (such as AR glasses, VR glasses, or ordinary glasses).

[0262] It should be noted that in other embodiments, the light-shielding module may also include electrochromic glass, so as to reduce the light dose entering the room from the outside by adjusting the light transmittance of the glass.

[0263] In this embodiment, the light intervention execution module 200 includes glasses, which are used to perform corresponding light intervention operations.

[0264] By using glasses for light intervention, personalized circadian rhythm phase adjustment is achieved, reducing the impact of the light shielding operation on the surrounding environment or the daily life of others.

[0265] In this embodiment, the supplementary light module 210 and the light shielding module 220 can both be integrated on the glasses, thereby reducing the complexity of the circadian rhythm phase adjustment system. Moreover, through the glasses, the light dose at the eye position can be adjusted more precisely.

[0266] In this embodiment, the circadian rhythm phase adjustment system further includes: a light environment acquisition module 300, which is used to acquire light environment information.

[0267] By acquiring the light environment information, the actual value of the light dose accumulation amount is obtained as the actual accumulation amount based on the acquired light environment information, so as to judge whether the actual accumulation amount at the current detection moment of the user meets the requirements based on the target accumulation amount of the light dose accumulation amount, and further, when the actual accumulation amount at the current detection moment does not meet the requirements, a light intervention operation is performed.

[0268] It should be noted that the light environment acquisition module 300 includes a wearable sensor or a portable sensor, so as to obtain the light environment information close to the human body, thereby improving the accuracy of the light environment information.

[0269] In this embodiment, the light environment acquisition module 300 is integrated in the glasses, thereby reducing the complexity of the circadian rhythm phase adjustment system.

[0270] Correspondingly, the supplementary light module 210, the light shielding module 220 and the light environment acquisition module 300 are all integrated on the glasses, thereby further reducing the number of hardware required for the circadian rhythm phase adjustment system.

[0271] In some other embodiments, the light environment acquisition module can also be integrated in a bracelet.

[0272] In other embodiments, the light environment acquisition module can also be independently used as an ambient light sensor for the eyes, face, wrists, etc. and be worn by the user.

[0273] As an example, the circadian rhythm phase adjustment system in this embodiment is used to implement the circadian rhythm phase adjustment method described in the foregoing embodiments. For the specific description of the circadian rhythm phase adjustment system, reference can be made to the relevant records in the adjustment method of the foregoing embodiments.

[0274] Correspondingly, an embodiment of the present invention further provides a device, which can implement the circadian rhythm phase adjustment method provided by the embodiment of the present invention by loading the above circadian rhythm phase adjustment method in the form of a program.

[0275] Reference Figure 7 , shows the hardware structure diagram of the device provided by an embodiment of the present invention. The device in this embodiment includes: at least one processor 01, at least one communication interface 02, at least one memory 03, and at least one communication bus 04.

[0276] In this embodiment, the number of the processor 01, the communication interface 02, the memory 03, and the communication bus 04 is at least one, and the processor 01, the communication interface 02, and the memory 03 complete mutual communication through the communication bus 04.

[0277] The communication interface 02 can be an interface of a communication module for network communication, for example, an interface of a GSM module.

[0278] The processor 01 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the circadian rhythm phase adjustment method described in this embodiment.

[0279] The memory 03 may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk memory. Among them, the memory 03 stores one or more computer instructions, and the one or more computer instructions are executed by the processor 01 to implement the circadian rhythm phase adjustment method provided by the foregoing embodiment.

[0280] It should be noted that the above implementation device may further include other devices (not shown) that may not be necessary for the disclosure of the embodiment of the present invention; since these other devices may not be necessary for understanding the disclosure of the embodiment of the present invention, the embodiment of the present invention does not introduce them one by one.

[0281] An embodiment of the present invention further provides a storage medium, and the storage medium stores one or more computer instructions, and the one or more computer instructions are used to implement the circadian rhythm phase adjustment method provided by the foregoing embodiment.

[0282] The above-described embodiments of the present invention are combinations of elements and features of the present invention. Unless otherwise mentioned, an element or feature can be considered optional. Each element or feature can be practiced without being combined with other elements or features. Additionally, embodiments of the present invention can be constructed by combining some of the elements and / or features. The order of operations described in the embodiments of the present invention can be rearranged. Some configurations of any one embodiment can be included in another embodiment and replaced with corresponding configurations of another embodiment. It is obvious to those skilled in the art that claims that do not have an explicit citation relationship with each other in the appended claims can be combined into an embodiment of the present invention or can be included as new claims in a modification after the filing of this application.

[0283] Embodiments of the present invention can be implemented by various means such as, for example, hardware, firmware, software, or a combination thereof. In a hardware configuration, the method according to an exemplary embodiment of the present invention can be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, etc.

[0284] In a firmware or software configuration, embodiments of the present invention can be implemented in the form of modules, procedures, functions, etc. The software code can be stored in a memory unit and executed by a processor. The memory unit is located inside or outside the processor and can send data to and receive data from the processor via various known means.

[0285] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather will be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0286] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims.

Claims

1. A method for regulating the circadian rhythm phase, characterized in that, Including: Obtain user information, including the circadian rhythm phase information of the user, where the circadian rhythm phase information includes the target sleep time and the target wake-up time of the target day; Based on the target sleep time and the target wake-up time, obtain the target value of the rhythm phase migration of the target day; Using a phase prediction model, based on the target value of the rhythm phase migration, obtain the target value of the light dose accumulation of the target day as the target accumulation, where the phase prediction model is a relationship model between the rhythm phase migration and the light dose accumulation; Based on the collected light environment information, obtain the actual value of the light dose accumulation as the actual accumulation; Based on the target accumulation, determine whether the actual accumulation at the current detection moment of the user meets the requirements; In the case where the actual accumulation at the current detection moment does not meet the requirements, perform a light intervention operation, where the light intervention operation is used to correct the rhythm phase migration of the target day.

2. The circadian rhythm phase adjustment method according to claim 1, wherein The phase prediction model is a relationship model between the rhythm phase migration, the light dose accumulation, the maximum forward shift amount of the human rhythm phase migration, and the maximum backward shift amount of the human rhythm phase migration, and the maximum forward shift amount of the human rhythm phase migration and the maximum backward shift amount of the human rhythm phase migration are coefficients of the phase prediction model.

3. The circadian rhythm phase adjustment method according to claim 2, wherein The phase prediction model is represented by formula (1): Where CPS represents the rhythm phase migration, A1 represents the maximum forward shift amount of the human rhythm phase migration, A2 represents the maximum backward shift amount of the human rhythm phase migration, DCLA represents the photobiological effect accumulation amount, and the photobiological effect accumulation amount is used as the light dose accumulation amount. The photobiological effect accumulation amount is equal to the sum of the products of the rhythm stimulation doses at each moment and the effect vectors of the corresponding moment's light on the rhythm phase migration. x0, d, A1, and A2 are all coefficients, and x0 and d act together on the slope and direction of the S-shaped curve of the Boltzmann function.

4. The circadian rhythm phase adjustment method according to claim 1, characterized in that, The light environment information includes the light dose accumulation amount or illumination parameters used to characterize the rhythm stimulation level, and the illumination parameters include one or more of the absolute spectral energy distribution, rhythm illuminance, rhythm stimulation value, and melanopic daylight equivalent illuminance.

5. The circadian rhythm phase adjustment method according to claim 1, characterized in that, The circadian rhythm phase adjustment method further includes: setting the rhythm phase shift time response data of the user according to the user information, where the rhythm phase shift time response data is used to represent the effect vector of the light on the rhythm phase migration at each moment; Based on the collected light environment information, obtaining the actual value of the light dose accumulation as the actual accumulation includes: obtaining the actual rhythm stimulation dose data through the collected light environment information, where the rhythm stimulation dose data is used to represent the rhythm stimulation doses at each moment; Calculate the sum of the products of the rhythm stimulation doses at each moment and the corresponding effect vectors to obtain the photobiological effect accumulation amount at the current detection moment, and the photobiological effect accumulation amount at the current detection moment is used as the actual value of the light dose accumulation.

6. The circadian rhythm phase adjustment method according to claim 5, wherein In the obtaining of the user information, the user information further includes a user portrait, and the user portrait includes the geographical location information and sleep time type of the user. Obtain corresponding circadian phase shift time response data based on the geographical location information and sleep time type.

7. The circadian rhythm phase adjustment method according to claim 1, characterized in that, Obtain the actual value of the light dose accumulation as the actual accumulation based on the collected light environment information, including: Obtain the actual circadian stimulus dose data through the collected light environment information, where the circadian stimulus dose data is used to represent the circadian stimulus dose at each moment; Calculate the sum of the circadian stimulus doses at each moment to obtain the actual value of the light dose accumulation.

8. The circadian rhythm phase adjustment method according to claim 1, wherein In the obtaining of the user information, the user information further includes a user profile, and the user profile includes the geographical location information and sleep time type of the user; Obtain the target value of the circadian phase shift of the target day based on the target bedtime, target wake-up time, geographical location information, and sleep time type.

9. The circadian rhythm phase adjustment method according to claim 5 or 7, characterized in that, In the obtaining of the actual circadian stimulus dose data through the collected light environment information, the method for obtaining the circadian stimulus dose at each moment includes: calculating the real-time circadian stimulus dose using a circadian stimulus value model, and the circadian stimulus dose is represented by circadian illuminance or a circadian stimulus value; Alternatively, calculate the real-time circadian stimulus dose using a melanopsin equivalent illuminance model, and the circadian stimulus dose is represented by melanopsin daylight equivalent illuminance.

10. The circadian rhythm phase adjustment method according to claim 6 or 8, characterized in that, The user profile further includes one or both of age and gender.

11. The circadian rhythm phase adjustment method according to claim 1, wherein Based on the target accumulation, determine whether the actual accumulation at the current detection moment of the user meets the requirements, including: Based on the target accumulation of the light dose accumulation, set the reference accumulation of the light dose accumulation that should be achieved at each detection moment as reference data; Obtain the difference between the actual accumulation at the current detection moment and the reference accumulation at the corresponding detection moment in the reference data; Based on the difference, determine whether the actual accumulation at the current detection moment of the user meets the requirements.

12. The circadian rhythm phase adjustment method according to claim 11, characterized in that, Before setting the reference accumulation of the light dose accumulation that should be achieved at each detection moment as reference data, it further includes: based on the target accumulation of the light dose accumulation, set the reference dose of the circadian stimulus dose that should be achieved at each moment; Setting the reference accumulation of the light dose accumulation that should be achieved at each detection moment as reference data includes: obtaining the reference accumulation of the light dose accumulation that should be achieved at each detection moment as reference data according to the reference dose that should be achieved at each moment; Based on the difference and the change trend of the reference dose after the current detection moment, determine whether the actual accumulation at the current detection moment of the user meets the requirements.

13. The circadian rhythm phase adjustment method according to claim 11, characterized in that, Based on the difference, determine whether the actual accumulation at the current detection moment of the user meets the requirements, including: determining whether the absolute value of the difference is less than or equal to a first threshold. If so, it is determined that the actual accumulation at the current detection moment meets the requirements; otherwise, it is determined that the actual accumulation at the current detection moment does not meet the requirements; where the first threshold is a non-negative number.

14. The circadian rhythm phase adjustment method according to claim 13, wherein The first threshold is: the accumulation deviation amount corresponding to when the circadian phase shift deviation amount is equal to a second threshold, and the circadian phase shift deviation amount is equal to the absolute value of the difference between the target value and the actual value of the circadian phase shift.

15. The circadian rhythm phase adjustment method according to claim 14, wherein The second threshold is less than or equal to 0.

5.

16. The circadian rhythm phase adjustment method according to claim 11, wherein The range of the detection time is the daily cycle, and the detection times are distributed at a preset step size; Alternatively, the detection times include the noon time and the sunset time.

17. The circadian rhythm phase adjustment method according to any one of claims 1 to 8, 11 to 16, characterized in that The light intervention operation includes: performing a supplementary lighting operation to increase the user's light intake when the actual cumulative amount at the current detection time is insufficient; and performing a shading operation to reduce the user's light intake when the actual cumulative amount at the current detection time is excessive.

18. The circadian rhythm phase adjustment method according to claim 17, wherein The method of the supplementary lighting operation includes: controlling the light source module to perform supplementary lighting, or controlling the display screen to perform supplementary lighting.

19. The circadian rhythm phase adjustment method according to claim 17, wherein, The method of the shading operation includes: controlling the light transmittance of the spectacle lenses to decrease.

20. The circadian rhythm phase adjustment method according to any one of claims 1 to 8, 11 to 16, characterized in that, The circadian rhythm phase adjustment method further includes: not performing a light intervention operation when the actual cumulative amount at the current detection time meets the requirements.

21. The circadian rhythm phase adjustment method according to any one of claims 1 to 8, 11 to 16, characterized in that The circadian rhythm phase adjustment method further includes: obtaining the actual value of the rhythm phase migration of the target day based on the actual sleep time and the actual wake-up time of the user on the target day; After obtaining the actual data of the user on multiple target days, re-fitting the phase prediction model based on the actual data to correct the coefficients in the phase prediction model, where the actual data of each target day includes the actual value of the rhythm phase migration and the actual value of the light dose cumulative amount.

22. A circadian rhythm phase regulation system, characterized in that, Includes: A user information acquisition module, configured to acquire user information, including the user's circadian rhythm phase information, where the circadian rhythm phase information includes the target sleep time and the target wake-up time of the target day, and is further configured to obtain the target value of the rhythm phase migration of the target day based on the target sleep time and the target wake-up time; A prediction module, configured to use the phase prediction model to obtain the target value of the light dose cumulative amount of the target day as the target cumulative amount based on the target value of the rhythm phase migration, where the phase prediction model is a relationship model between the rhythm phase migration and the light dose cumulative amount, and is further configured to obtain the actual value of the light dose cumulative amount as the actual cumulative amount based on the collected light environment information, and based on the target cumulative amount, and is further configured to determine whether the actual cumulative amount at the current detection time of the user meets the requirements; A light intervention control module, configured to respond to the judgment result of the prediction module, and perform a light intervention operation when the actual cumulative amount at the current detection time does not meet the requirements, where the light intervention operation is used to correct the rhythm phase migration of the target day.

23. A circadian rhythm phase regulation system, characterized in that, Includes: A main control module, configured to execute the circadian rhythm phase adjustment method according to any one of claims 1-21; A light intervention execution module, configured to execute the corresponding light intervention operation in response to the light intervention operation instruction of the main control module.

24. The circadian rhythm phase regulation system according to claim 23, wherein The light intervention execution module includes a supplementary lighting module and a shading module, where the supplementary lighting module is configured to perform a supplementary lighting operation to increase the user's light intake, and the shading module is configured to perform a shading operation to reduce the user's light intake.

25. The circadian rhythm phase adjustment system according to claim 23, wherein The light intervention execution module includes a supplementary lighting module, and the supplementary lighting module includes a light source module or a display screen.

26. The circadian rhythm phase adjustment system according to claim 23, wherein The light intervention execution module includes a shading module, and the shading module includes electrochromic lenses.

27. The circadian rhythm phase adjustment system according to any one of claims 23 to 26, characterized in that The circadian rhythm phase adjustment system further includes: a light environment acquisition module, configured to acquire light environment information.

28. The circadian rhythm phase regulation system according to claim 27, wherein, The light environment acquisition module includes a wearable sensor or a portable sensor.

29. The circadian rhythm phase adjustment system according to claim 28, wherein, The light environment acquisition module is integrated into glasses or a bracelet.

30. A device, characterized in that, It includes at least one memory and at least one processor, and the memory stores one or more computer instructions. Among them, the one or more computer instructions are executed by the processor to implement the circadian rhythm phase adjustment method according to any one of claims 1-21.

31. A storage medium, characterized in that, The storage medium stores one or more computer instructions, and the one or more computer instructions are used to implement the circadian rhythm phase adjustment method according to any one of claims 1-21.

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