Intelligent fragrance lamp control system

Abstract

The invention discloses an intelligent fragrance lamp control system, and relates to the technical field of intelligent sensing equipment, parameters such as illumination, noise, carbon dioxide and the like are monitored through an environment sensing module, and the activity frequency and turning-over intensity of a user are recorded in combination with an operation state monitoring module; the environment physiological collaborative analysis module is used for extracting environment interference factors, aromatherapy diffusion intensity and sensory response coefficients, and a sleep conversion index is calculated in a fitting mode. And the strategy optimization execution module dynamically adjusts the light slope, the sound frequency and the dual-aromatherapy switching logic according to the information. Two-way and closed-loop management covering the whole period from falling asleep to awakening is achieved, the pain point that sensory experience splitting and aromatherapy functions are disjointed with physiological needs is effectively solved, it is ensured that multi-sensory stimulation is accurately matched with the instant state of a user, and the immersive guiding effect, comfort and adjustment scientificity of natural environment simulation are remarkably enhanced.

Description

Technical Field

[0001] This invention relates to the field of intelligent sensing equipment technology, specifically to an intelligent aromatherapy lamp control system. Background Technology

[0002] Current alarm clocks on the market offer only a single wake-up function, such as a regular alarm clock waking you up with a ringtone, or a night light alarm clock waking you up by gradually increasing the light intensity. Existing sleep aid products typically use aromatherapy or music alone. However, existing technological solutions suffer from the following three core technical shortcomings: Existing devices (such as light alarm clocks, music players, and aromatherapy diffusers) typically provide single-dimensional stimulation. Even when used in combination, these devices lack unified control logic and coordinated operation over time. This results in a fragmented, random, and inefficient sensory experience, failing to create an immersive physiological guidance process that simulates changes in the natural environment. Consequently, their arousal or sleep-inducing effects are significantly reduced, leading to the non-coordination and fragmentation of multi-sensory stimulation. The products on the market have limited functionality. Alarm clocks focus on "wake-up" (the stimulating process), while sleep aids focus on "falling asleep" (the soothing process). There is a lack of an integrated technological solution that can achieve bidirectional, closed-loop management of the entire core sleep cycle from "falling asleep" to "waking up" on a single device through two preset, opposite programmed modes, resulting in a lack of bidirectional regulation capabilities covering the complete sleep-wake cycle. Traditional aromatherapy diffusers are typically manually operated or have a simple timer. Their scents and operating modes are fixed and cannot intelligently switch according to the user's specific physiological needs (e.g., whether they need to be alert or relaxed). This results in a disconnect between the olfactory experience and the user's immediate state, failing to realize its full potential as a guide for physiological signals. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides an intelligent aromatherapy lamp control system to overcome the aforementioned technical deficiencies.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an intelligent aromatherapy lamp control system, comprising an environmental perception module, a multi-sensory collaborative control module, an operating status monitoring module, an environmental and physiological collaborative analysis module, and a strategy optimization execution module; The environmental perception module is used to monitor the potential impact of indoor and outdoor environmental data on the user's physiological rhythm in real time, generate a first data set, and integrate ambient light, background noise and air quality into real-time environmental background parameters. The multi-sensory collaborative control module is used to make non-linear complementary adjustments to the light module, sound module and dual aromatherapy module according to the first data group and the currently activated operation mode, so as to maximize the guiding effect of waking up or helping to sleep. The operation status monitoring module is used to record real-time execution data during the multi-sensory adjustment process, generate a second data group, and establish a sleep guidance dataset by combining the first data group and the second data group. The environmental-physiological co-analysis module is used to extract features from relevant data information in the sleep guidance dataset to obtain environmental interference factor Hjyz, photoacoustic growth rate Gszs, aroma diffusion intensity Xqqd, and sensory activity Gyhd. By associating the environmental interference factor Hjyz with the photoacoustic growth rate Gszs, the guidance matching coefficient Ppxs is obtained. By associating the aroma diffusion intensity Xqqd with the sensory activity Gyhd, the sensory response coefficient Xyxs is obtained. The sleep conversion index Zhzs is obtained by using machine learning analysis and calculation. The strategy optimization execution module is used to pre-set the guidance evaluation threshold R and compare it with the sleep conversion index Zhzs to obtain a guidance effectiveness level report. Based on the corresponding level report, it automatically adjusts the light gradient slope, sound frequency and aromatherapy chamber switching logic.

[0005] Preferably, the first data group in the environmental sensing module includes light noise environmental data information and air composition data information; the light noise environmental data information is obtained by monitoring the physical environment data around the device, including ambient illuminance Lxz, background noise decibels Dbz, and light flicker frequency Plz; the air composition data information is obtained by real-time monitoring of air status information, including odor concentration Ywz, ambient humidity Sdz, and carbon dioxide concentration Coz.

[0006] Preferably, the multi-sensory collaborative control module includes a wake-up execution unit and a sleep-aid execution unit; The wake-up execution unit is used to control the light module to gradually brighten from 20 lumens to 100 lumens in a logarithmic manner according to a preset time point, and to drive the first aromatherapy unit to release the refreshing medium, and to linearly increase the sound module from low decibel natural sound to high decibel; the sleep aid execution unit is used to control the light module to gradually dim exponentially, and to drive the second aromatherapy unit to release the soothing medium, and to switch the sound module to white noise of a preset frequency.

[0007] Preferably, the operation status monitoring module includes an output feedback unit and a sensing feedback unit; The output feedback unit is used to record the light color temperature Swz, the sound sampling rate Cyl, and the aroma atomization duration Whs; The sensing feedback unit is used to monitor the frequency of limb movements (Hdpl) and the intensity of turning over (Qdz) of the user during the sleep transition period using an infrared human body sensor.

[0008] Preferably, the environmental physiological synergistic analysis module includes an environmental stress analysis unit, a sensory load analysis unit, and a correlation analysis unit; The environmental stress analysis unit is used to obtain the environmental interference factor Hjyz based on the light noise environment data information by correlating the background noise decibels Dbz and the ambient illuminance Lxz and performing dimensionless processing. The specific calculation logic is as follows: the weighted sum of the background noise decibels Dbz and the ambient illuminance Lxz obtained in real time is used to calculate the ratio with the weighted sum of the light flicker frequency Plz and the carbon dioxide concentration, and finally multiplied by the first environmental correction constant to reflect the degree of negative pressure of the external environment on the sleep-wake process.

[0009] The sensory load analysis unit is used to obtain the aroma diffusion intensity Xqqd by correlating the aroma atomization time Whs and the color temperature value Swz based on the operation status monitoring data and after dimensionless processing. The specific calculation logic is to obtain the weighted sum of the aroma atomization time and the ambient humidity, and then calculate the ratio with the weighted sum of the current light color temperature value and the odor concentration. Finally, it is multiplied by the olfactory diffusion correction constant to evaluate the coverage efficiency of the effective aroma medium in the current space and its adaptability to the environmental conditions.

[0010] Preferably, the guided matching coefficient Ppxs is obtained by associating the environmental interference factor Hjyz with the photoacoustic growth rate Gszs and performing dimensionless processing. The specific calculation logic is to square the environmental interference factor Hjyz and the photoacoustic growth rate Gszs respectively, and then perform weighted summation and square root operation according to a preset proportional coefficient to characterize whether the intensity of the adjustment signal output by the device is sufficient to offset the negative impact of environmental interference.

[0011] Preferably, a matching threshold E is preset, and the guiding matching coefficient Ppxs is compared and analyzed with the matching threshold E to determine whether the current sensory coordination strategy is consistent with the environmental background; If the matching coefficient Ppxs ≥ the matching threshold E, it indicates that the current sensory guidance scheme is severely affected by environmental interference and the strategy needs to be reconstructed. If the guiding matching coefficient Ppxs < the matching threshold E, it indicates that the current environmental background is suitable and the collaborative scheme is in a normal guiding state.

[0012] Preferably, the environmental physiological co-analysis module correlates the sensory activity level Gyhd with the aroma diffusion intensity Xqqd, and after dimensionless processing, obtains the sensory response coefficient Xyxs. The specific calculation logic is as follows: the weighted sum of the human activity frequency and turning intensity is obtained and the weighted product of the aroma atomization duration and sound sampling rate is obtained, i.e., the ratio of sensory activity level Gyhd to aroma diffusion intensity Xqqd is calculated. Finally, it is multiplied by the physiological response correction constant to quantify the user's physiological feedback sensitivity to the current multi-sensory stimulation signal.

[0013] Preferably, the correlation analysis unit is used to correlate the sensory response coefficient Xyxs with the guidance matching coefficient Ppxs, and analyze and fit to obtain the sleep conversion index Zhzs; the specific calculation logic is as follows: first, the ratio of the sensory response coefficient Xyxs to the guidance matching coefficient Ppxs is calculated, and then the ratio is multiplied by the natural logarithm of the sum of the current working mode feature weights and the constant 1, so as to obtain a comprehensive evaluation index reflecting the user's conversion efficiency from the current physiological state to the target physiological state, that is, wakefulness or sleep.

[0014] Preferably, the strategy optimization execution module compares and analyzes the sleep conversion index Zhzs with the evaluation threshold R to obtain a guidance effectiveness level report, the specific content of which is as follows: If the sleep conversion index Zhzs > the assessment threshold R, the first guidance level is generated, indicating that the user's physiological state deviates significantly from the current adjustment target. The system automatically increases the aromatherapy atomization frequency and adjusts the light color temperature difference. If the sleep conversion index Zhzs = the evaluation threshold R, a second guidance level is generated, indicating that the current multi-sensory coordination scheme is working well, and the current output parameters are maintained until the guidance is completed; If the sleep conversion index Zhzs < the evaluation threshold R, a third guidance level is generated, indicating that the guidance goal has been achieved ahead of schedule and the system enters standby or low power maintenance mode ahead of schedule.

[0015] This invention provides an intelligent aromatherapy lamp control system. It has the following beneficial effects: (1) This intelligent aromatherapy lamp control system monitors the ambient illuminance Lxz, background noise decibels Dbz, light flicker frequency Plz, odor concentration Ywz, ambient humidity Sdz, and carbon dioxide concentration Coz in real time through the environmental perception module. Combined with the multi-sensory collaborative control module, it performs nonlinear complementary adjustments to the light module, sound module, and dual aromatherapy module, fundamentally solving the technical pain points of the existing equipment caused by the fragmented, random, and inefficient sensory experience due to single-dimensional stimulation. The environmental pressure analysis unit extracts the environmental interference factor Hjyz and the light and sound growth rate Gszs and calculates the guidance matching coefficient Ppxs. Combined with the strategy optimization execution module, it dynamically adjusts the light gradient slope and sound frequency according to the sleep conversion index Zhzs, realizing bidirectional and closed-loop management of the user's entire core sleep cycle from "falling asleep" to "waking up" on a single device, significantly enhancing the immersive physiological guidance effect of simulating natural environmental changes.

[0016] (2) This intelligent aromatherapy lamp control system addresses the problem of the disconnect between olfactory experience and physiological needs caused by the static nature of traditional aromatherapy functions. The present invention records the light color temperature Swz, sound sampling rate Cyl, aromatherapy atomization time Whs, and user limb activity frequency Hdpl and turning intensity Qdz in real time through the operation status monitoring module. The aromatherapy diffusion intensity Xqqd and sensory activity Gyhd are obtained to fit the sensory response coefficient Xyxs. By comparing the sleep conversion index Zhzs calculated by correlating the sensory response coefficient Xyxs with the guidance matching coefficient Ppxs with the preset evaluation threshold R, the system can automatically adjust the aromatherapy chamber switching logic according to the user's real-time physiological feedback. This ensures that the refreshing or soothing fragrance can be accurately matched with the user's immediate state, giving full play to the potential of smell as a physiological guidance signal and greatly improving the comfort and scientific nature of the user's daily routine adjustment. Attached Figure Description

[0017] Figure 1 This is a schematic diagram illustrating the application of an intelligent aromatherapy lamp control system according to the present invention; Figure 2 This is a schematic diagram of the system framework structure of an intelligent aromatherapy lamp control system according to the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example

[0019] Please see Figures 1 to 2The present invention provides an intelligent aromatherapy lamp control system, including an environmental perception module, a multi-sensory collaborative control module, an operating status monitoring module, an environmental and physiological collaborative analysis module, and a strategy optimization execution module; The environmental perception module is used to monitor the potential impact of indoor and outdoor environmental data on the user's physiological rhythm in real time, generate a first data set, and integrate ambient light, background noise and air quality into real-time environmental background parameters. The multi-sensory collaborative control module is used to make non-linear complementary adjustments to the light module, sound module and dual aromatherapy module according to the first data group and the currently activated operation mode, so as to maximize the guiding effect of waking up or helping to sleep. The operation status monitoring module is used to record real-time execution data during the multi-sensory adjustment process, generate a second data group, and establish a sleep guidance dataset by combining the first data group and the second data group. The environmental-physiological co-analysis module is used to extract features from relevant data information in the sleep guidance dataset to obtain environmental interference factor Hjyz, photoacoustic growth rate Gszs, aroma diffusion intensity Xqqd, and sensory activity Gyhd. By associating the environmental interference factor Hjyz with the photoacoustic growth rate Gszs, the guidance matching coefficient Ppxs is obtained. By associating the aroma diffusion intensity Xqqd with the sensory activity Gyhd, the sensory response coefficient Xyxs is obtained. The sleep conversion index Zhzs is obtained by using machine learning analysis and calculation. The strategy optimization execution module is used to pre-set the guidance evaluation threshold R and compare it with the sleep conversion index Zhzs to obtain a guidance effectiveness level report. Based on the corresponding level report, it automatically adjusts the light gradient slope, sound frequency and aromatherapy chamber switching logic. Example

[0020] The first data group in the environmental sensing module includes light noise environmental data information and air composition data information; the light noise environmental data information is obtained by monitoring the physical environment data around the device, including ambient illuminance Lxz, background noise decibels Dbz, and light flicker frequency Plz; the air composition data information is obtained by real-time monitoring of air status information, including odor concentration Ywz, ambient humidity Sdz, and carbon dioxide concentration Coz.

[0021] The multi-sensory collaborative control module includes a wake-up execution unit and a sleep-aid execution unit; The wake-up execution unit is used to control the light module to gradually brighten from 20 lumens to 100 lumens in a logarithmic manner according to a preset time point, and to drive the first aromatherapy unit to release the refreshing medium, and to linearly increase the sound module from low decibel natural sound to high decibel; the sleep aid execution unit is used to control the light module to gradually dim exponentially, and to drive the second aromatherapy unit to release the soothing medium, and to switch the sound module to white noise of a preset frequency.

[0022] The operation status monitoring module includes an output feedback unit and a sensing feedback unit; The output feedback unit is used to record the light color temperature Swz, the sound sampling rate Cyl, and the aroma atomization duration Whs; The sensing feedback unit is used to monitor the frequency of limb movements (Hdpl) and the intensity of turning over (Qdz) of the user during the sleep transition period using an infrared human body sensor.

[0023] The environmental physiological synergistic analysis module includes an environmental stress analysis unit, a sensory load analysis unit, and a correlation analysis unit; The environmental stress analysis unit is used to obtain the environmental interference factor Hjyz based on the light noise environment data information by correlating the background noise decibels Dbz and the ambient illuminance Lxz and performing dimensionless processing. The specific calculation logic is as follows: the weighted sum of the background noise decibels Dbz and the ambient illuminance Lxz obtained in real time is used to calculate the ratio with the weighted sum of the light flicker frequency Plz and the carbon dioxide concentration, and finally multiplied by the first environmental correction constant to reflect the degree of negative pressure of the external environment on the sleep-wake process.

[0024] The environmental disturbance factor Hjyz is obtained by the following formula:

[0025] In the formula, Dbz represents the background noise in decibels, Lxz represents the ambient illuminance, Plz represents the light flicker frequency, c1, c2, c3 and c4 represent preset proportional coefficients, and A represents the first environmental correction constant. The sensory load analysis unit is used to obtain the aroma diffusion intensity Xqqd by correlating the aroma atomization time Whs and the color temperature value Swz based on the operation status monitoring data and after dimensionless processing. The specific calculation logic is to obtain the weighted sum of the aroma atomization time and the ambient humidity, and then calculate the ratio with the weighted sum of the current light color temperature value and the odor concentration. Finally, it is multiplied by the olfactory diffusion correction constant to evaluate the coverage efficiency of the effective aroma medium in the current space and its adaptability to the environmental conditions.

[0026] The aroma diffusion intensity Xqqd is obtained by the following formula:

[0027] In the formula, Whs represents the atomization time, Sdz represents the ambient humidity, Swz represents the color temperature value, d1, d2, d3 and d4 represent the preset proportional coefficients, and B represents the olfactory diffusion correction constant.

[0028] By associating the environmental interference factor Hjyz with the photoacoustic growth rate Gszs and processing them dimensionlessly, the guiding matching coefficient Ppxs is obtained. The specific calculation logic is to square the environmental interference factor Hjyz and the photoacoustic growth rate Gszs respectively, and then perform a weighted summation and square root operation according to a preset proportional coefficient to characterize whether the intensity of the adjustment signal output by the device is sufficient to offset the negative impact of environmental interference.

[0029] The guiding matching coefficient Ppxs is obtained using the following formula:

[0030] In the formula, α and β represent the preset weight ratios of environmental factors and growth rate, respectively.

[0031] A matching threshold E is preset, and the guiding matching coefficient Ppxs is compared and analyzed with the matching threshold E to determine whether the current sensory coordination strategy is consistent with the environmental background. If the matching coefficient Ppxs ≥ the matching threshold E, it indicates that the current sensory guidance scheme is severely affected by environmental interference and the strategy needs to be reconstructed. If the guiding matching coefficient Ppxs < the matching threshold E, it indicates that the current environmental background is suitable and the collaborative scheme is in a normal guiding state.

[0032] The environmental physiological co-analysis module correlates the sensory activity level Gyhd with the aroma diffusion intensity Xqqd. After dimensionless processing, it obtains the sensory response coefficient Xyxs. The specific calculation logic is as follows: the weighted sum of the human activity frequency and turning intensity is obtained and the weighted product of the aroma atomization duration and sound sampling rate is obtained. That is, the ratio of sensory activity level Gyhd to aroma diffusion intensity Xqqd is calculated. Finally, it is multiplied by the physiological response correction constant to quantify the user's physiological feedback sensitivity to the current multi-sensory stimulation signal.

[0033] The sensory response coefficient Xyxs is obtained by the following formula:

[0034] In the formula, Hdpl represents the activity frequency, Qdz represents the turning intensity, Whs represents the atomization duration, Cyl represents the sound sampling rate, k1, k2, k3 and k4 represent the preset proportional coefficients, and C represents the physiological response correction constant.

[0035] The correlation analysis unit is used to correlate the sensory response coefficient Xyxs with the guidance matching coefficient Ppxs, and analyze and fit to obtain the sleep conversion index Zhzs. The specific calculation logic is as follows: first, the ratio of the sensory response coefficient Xyxs to the guidance matching coefficient Ppxs is calculated, and then the ratio is multiplied by the natural logarithm of the sum of the current working mode feature weight and the constant 1, so as to obtain a comprehensive evaluation index reflecting the user's conversion efficiency from the current physiological state to the target physiological state, that is, wakefulness or sleep.

[0036] The sleep conversion index Zhzs is obtained using the following formula:

[0037] In the formula, ModeIndex represents the feature weight of the current working mode, with positive values ​​for wakefulness and negative values ​​for sleep aid.

[0038] The strategy optimization execution module compares and analyzes the sleep conversion index Zhzs with the evaluation threshold R to obtain a guidance effectiveness level report, the specific contents of which are as follows: If the sleep conversion index Zhzs > the assessment threshold R, the first guidance level is generated, indicating that the user's physiological state deviates significantly from the current adjustment target. The system automatically increases the aromatherapy atomization frequency and adjusts the light color temperature difference. If the sleep conversion index Zhzs = the evaluation threshold R, a second guidance level is generated, indicating that the current multi-sensory coordination scheme is working well, and the current output parameters are maintained until the guidance is completed; If the sleep conversion index Zhzs < the evaluation threshold R, a third guidance level is generated, indicating that the guidance goal has been achieved ahead of schedule and the system enters standby or low power maintenance mode ahead of schedule.

[0039] In this embodiment, the environmental interference factor Hjyz represents the blocking strength of the indoor background environment on the target sleep-wake state; the photoacoustic growth rate Gszs represents the stepwise increment of light brightness and sound decibels per unit time under the current wake-up strategy; the aroma diffusion intensity Xqqd represents the stimulation load of the olfactory system on the effective aroma molecule concentration in the current space; the sensory activity Gyhd represents the activity level of the user's micro-movements and large-amplitude body positions within the monitoring range; the guidance matching coefficient Ppxs measures the effective coverage of the system intervention signal relative to the environmental background interference; the sensory response coefficient Xyxs measures the user's physiological feedback sensitivity to the current light, sound, and olfactory stimulation signals; and the sleep transition index Zhzs quantifies the probability of the user completing the transition from the current physiological state to the target preset state, with the output value range limited to the [0,1] interval.

[0040] The environmental interference factor Hjyz was obtained from the "signal-to-noise ratio attenuation superposition model" in physics. It was calculated by weighting the background noise in decibels (dbz) and ambient illuminance (Lxz) in real time, and then comparing it with the weighted sum of light flicker frequency (Plz) and carbon dioxide concentration (Coz) (denominator). The result was multiplied by the first environmental correction constant A. The above proportionality coefficients c1, c2, c3, c4 and constant A need to be determined through "offline environmental sensitivity calibration experiment". The experiment was conducted in a standard acoustic anechoic chamber, simulating gradient noise of 30dB to 60dB and illuminance interference of 0.1Lux to 50Lux. The fluctuation of blood oxygen saturation and heart rate variability of the subjects were recorded. Through multiple regression analysis, c1=0.55, c2=0.45 and A=1.15 were determined to ensure that the baseline response dimension of Hjyz is consistent under standard interference.

[0041] The sensory response coefficient Xyxs is obtained from the "Comprehensive Evaluation Model of Activity Intensity" in biomechanics. Specifically, the raw pulse signal is collected by an infrared human body sensor, and processed by the "sliding window integral algorithm" to extract the user's limb activity frequency Hdpl and turning intensity Qdz within a 60-second window. The weighted sum of the two is used as the response output, and its quotient is calculated with the control input consisting of the aromatherapy atomization duration Whs and the sound sampling rate Cyl. Finally, it is multiplied by the physiological response correction constant C. The coefficient k1 (activity frequency weight) is set to 0.7, k2 (turning intensity weight) is set to 0.3, and the constant C is set to 0.85. Through this logic, discrete physical displacement is converted into continuous sensory feedback quantity, ensuring that the dimensions remain rigorous in the physiological characteristic dimension.

[0042] To ensure that the output value of the sleep conversion index Zhzs is strictly limited to the range [0,1], the system introduces the "logistic regression normalization function" from mathematics. The calculated original conversion value is used as the input variable and mapped by this exponential function, so that when the guidance matching degree is extremely high and the user feedback is positive, the output is infinitely close to 0.95; when environmental interference completely blocks the intervention effect, the output is close to 0.05.

[0043] The following calculation logic will be explained in further detail: To balance physical quantities with different dimensions, the preset proportionality coefficients c1 (noise weight) are preferably 0.6, and c2 (illuminance weight) are preferably 0.4. The first environmental correction constant A is set to 1.2 to compensate for the system error of the sensor hardware; its calculation logic is as follows: first, obtain the weighted sum of the background noise decibel value and the ambient illuminance value, then obtain the weighted sum of the light flicker frequency and the carbon dioxide concentration, finally divide the sum of the former by the sum of the latter, and multiply the resulting quotient by the correction constant A to obtain a scalar value reflecting the intensity of the current environment's intervention on physiological rhythms.

[0044] Regarding the parameter constraints and logical implementation of the sleep conversion index Zhzs: To ensure the stability of logarithmic operations, the value range of the working mode feature weight ModeIndex is strictly limited to the open interval between -0.5 and +1.5. In this embodiment, when the system enters 'wake-up mode', ModeIndex is set to a fixed value of 1.0; when the system enters 'sleep aid mode', ModeIndex is set to a fixed value of -0.2. Its core calculation logic is as follows: The system first calculates the ratio of the guidance matching coefficient to the sensory response coefficient, which represents the gain relationship between the device intervention intensity and the user feedback sensitivity; then, the value 1 is added to the current mode feature weight to obtain an intermediate sum, and the natural logarithm of this intermediate sum is calculated; finally, the aforementioned ratio result is multiplied by the natural logarithm result to output the final sleep conversion index.

[0045] Secondly, regarding the basis for determining the evaluation threshold R: The guidance evaluation threshold R is determined based on cluster analysis of 50 sets of sample data in a simulated sleep laboratory. In this embodiment, the preferred value of the threshold R is 0.75; when the calculated sleep conversion index is greater than 0.75, it is determined to be the first guidance level. At this time, the control program inside the system will trigger the aromatherapy chamber switching logic, increase the atomization frequency by 30% on the basis of the benchmark, and simultaneously increase the color temperature offset of the light module. Furthermore, this embodiment employs a nonlinear weighted fusion algorithm based on "fuzzy association rules." Compared to simple linear weighting, this method can better handle the nonlinear correlation between physiological and environmental signals. During the sleep transition state, the user's physiological feedback often exhibits "abrupt changes." The fuzzy association algorithm can map Hjyz, Xqqd, and Gyhd into a fuzzy space by setting membership functions, capturing the "critical point" of the user falling asleep or waking up, thereby providing more precise regulation logic. All fusion weights were obtained through training using a multi-objective particle swarm optimization algorithm. The training set was compiled from multiple sets of real users' sleep-wake cycle sample data, and the optimization was iteratively performed using "heart rate stability conversion rate" as the objective function. Ultimately, in wake-up mode, the photoacoustic growth rate Gszs accounted for 60% of the weight, while in sleep-aid mode, the aromatherapy diffusion intensity Xqqd's weight was increased to 55%.

[0046] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart aromatherapy lamp control system, characterized in that: It includes an environmental perception module, a multi-sensory collaborative control module, an operational status monitoring module, an environmental and physiological collaborative analysis module, and a strategy optimization and execution module; The environmental perception module is used to monitor the potential impact of indoor and outdoor environmental data on the user's physiological rhythm in real time, generate a first data set, and integrate ambient light, background noise and air quality into real-time environmental background parameters. The multi-sensory collaborative control module is used to make non-linear complementary adjustments to the light module, sound module and dual aromatherapy module according to the first data group and the currently activated operation mode, so as to maximize the guiding effect of waking up or helping to sleep. The operation status monitoring module is used to record real-time execution data during the multi-sensory adjustment process, generate a second data group, and establish a sleep guidance dataset by combining the first data group and the second data group. The environmental-physiological co-analysis module is used to extract features from relevant data information in the sleep guidance dataset to obtain environmental interference factor Hjyz, photoacoustic growth rate Gszs, aroma diffusion intensity Xqqd, and sensory activity Gyhd. By associating the environmental interference factor Hjyz with the photoacoustic growth rate Gszs, the guidance matching coefficient Ppxs is obtained. By associating the aroma diffusion intensity Xqqd with the sensory activity Gyhd, the sensory response coefficient Xyxs is obtained. The sleep conversion index Zhzs is obtained by using machine learning analysis and calculation. The strategy optimization execution module is used to pre-set the guidance evaluation threshold R and compare it with the sleep conversion index Zhzs to obtain a guidance effectiveness level report. Based on the corresponding level report, it automatically adjusts the light gradient slope, sound frequency and aromatherapy chamber switching logic.

2. The intelligent aromatherapy lamp control system according to claim 1, characterized in that: The first data group in the environmental sensing module includes light noise environmental data information and air composition data information; the light noise environmental data information is obtained by monitoring the physical environment data around the device, including ambient illuminance Lxz, background noise decibels Dbz, and light flicker frequency Plz; the air composition data information is obtained by real-time monitoring of air status information, including odor concentration Ywz, ambient humidity Sdz, and carbon dioxide concentration Coz.

3. The intelligent aromatherapy lamp control system according to claim 1, characterized in that: The multi-sensory collaborative control module includes a wake-up execution unit and a sleep-aid execution unit; The wake-up execution unit is used to control the light module to gradually brighten from 20 lumens to 100 lumens in a logarithmic manner according to a preset time point, and to drive the first aromatherapy unit to release the refreshing medium, and to linearly increase the sound module from low decibel natural sound to high decibel; the sleep aid execution unit is used to control the light module to gradually dim exponentially, and to drive the second aromatherapy unit to release the soothing medium, and to switch the sound module to white noise of a preset frequency.

4. The intelligent aromatherapy lamp control system according to claim 2, characterized in that: The operation status monitoring module includes an output feedback unit and a sensing feedback unit; The output feedback unit is used to record the light color temperature Swz, the sound sampling rate Cyl, and the aroma atomization duration Whs; The sensing feedback unit is used to monitor the frequency of limb movements (Hdpl) and the intensity of turning over (Qdz) of the user during the sleep transition period using an infrared human body sensor.

5. The intelligent aromatherapy lamp control system according to claim 4, characterized in that: The environmental physiological synergistic analysis module includes an environmental stress analysis unit, a sensory load analysis unit, and a correlation analysis unit; The environmental stress analysis unit is used to obtain the environmental interference factor Hjyz based on the light noise environment data information by associating the background noise decibels Dbz and the ambient illuminance Lxz and performing dimensionless processing. The specific calculation logic is as follows: the weighted sum of the background noise decibels Dbz and the ambient illuminance Lxz obtained in real time is used to calculate the ratio with the weighted sum of the light flicker frequency Plz and the carbon dioxide concentration, and finally multiplied by the first environmental correction constant to reflect the degree of negative stress of the external environment on the sleep-wake process. The sensory load analysis unit is used to obtain the aroma diffusion intensity Xqqd by correlating the aroma atomization time Whs and the color temperature value Swz based on the operation status monitoring data and after dimensionless processing. The specific calculation logic is to obtain the weighted sum of the aroma atomization time and the ambient humidity, and then calculate the ratio with the weighted sum of the current light color temperature value and the odor concentration. Finally, it is multiplied by the olfactory diffusion correction constant to evaluate the coverage efficiency of the effective aroma medium in the current space and its adaptability to the environmental conditions.

6. The intelligent aromatherapy lamp control system according to claim 5, characterized in that: By associating the environmental interference factor Hjyz with the photoacoustic growth rate Gszs and processing them dimensionlessly, the guiding matching coefficient Ppxs is obtained. The specific calculation logic is to square the environmental interference factor Hjyz and the photoacoustic growth rate Gszs respectively, and then perform a weighted summation and square root operation according to a preset proportional coefficient to characterize whether the intensity of the adjustment signal output by the device is sufficient to offset the negative impact of environmental interference.

7. The intelligent aromatherapy lamp control system according to claim 6, characterized in that: A matching threshold E is preset, and the guiding matching coefficient Ppxs is compared and analyzed with the matching threshold E to determine whether the current sensory coordination strategy is consistent with the environmental background. If the matching coefficient Ppxs ≥ the matching threshold E, it indicates that the current sensory guidance scheme is severely affected by environmental interference and the strategy needs to be reconstructed. If the guiding matching coefficient Ppxs < the matching threshold E, it indicates that the current environmental background is suitable and the collaborative scheme is in a normal guiding state.

8. The intelligent aromatherapy lamp control system according to claim 5, characterized in that: The environmental physiological co-analysis module correlates the sensory activity level Gyhd with the aroma diffusion intensity Xqqd. After dimensionless processing, it obtains the sensory response coefficient Xyxs. The specific calculation logic is as follows: the weighted sum of the human activity frequency and turning intensity is obtained and the weighted product of the aroma atomization duration and sound sampling rate is obtained. That is, the ratio of sensory activity level Gyhd to aroma diffusion intensity Xqqd is calculated. Finally, it is multiplied by the physiological response correction constant to quantify the user's physiological feedback sensitivity to the current multi-sensory stimulation signal.

9. The intelligent aromatherapy lamp control system according to claim 1, characterized in that: The correlation analysis unit is used to correlate the sensory response coefficient Xyxs with the guidance matching coefficient Ppxs, and analyze and fit to obtain the sleep conversion index Zhzs. The specific calculation logic is as follows: first, the ratio of the sensory response coefficient Xyxs to the guidance matching coefficient Ppxs is calculated, and then the ratio is multiplied by the natural logarithm of the sum of the current working mode feature weights and the constant 1, so as to obtain a comprehensive evaluation index reflecting the user's conversion efficiency from the current physiological state to the target physiological state, that is, wakefulness or sleep.

10. The intelligent aromatherapy lamp control system according to claim 9, characterized in that: The strategy optimization execution module compares and analyzes the sleep conversion index Zhzs with the evaluation threshold R to obtain a guidance effectiveness level report, the specific contents of which are as follows: If the sleep conversion index Zhzs > the assessment threshold R, the first guidance level is generated, indicating that the user's physiological state deviates significantly from the current adjustment target. The system automatically increases the aromatherapy atomization frequency and adjusts the light color temperature difference. If the sleep conversion index Zhzs = the evaluation threshold R, a second guidance level is generated, indicating that the current multi-sensory coordination scheme is working well, and the current output parameters are maintained until the guidance is completed; If the sleep conversion index Zhzs < the evaluation threshold R, a third guidance level is generated, indicating that the guidance goal has been achieved ahead of schedule and the system enters standby or low power maintenance mode ahead of schedule.

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