A sunlight source bionic device and a control method thereof

Abstract

This invention discloses a biomimetic solar light source device and control method. The method includes: S100, controlling the high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group, and infrared lamp group as independent signal routes; S200, analyzing the laws of natural illumination and constant scene patterns, and decomposing the intensity of various lights; S300, setting a dynamic illumination intensity simulation mode for the light source module that changes over time according to the laws of natural illumination; S400, setting illumination intensity simulation modes for the light source module under various scene modes according to the laws of constant scene patterns; S500, automatically controlling the light source module to start the dynamic illumination intensity simulation mode according to the laws of natural illumination over time, dynamically simulating all-day sunlight; S600, when special scene illumination is required, manually adjusting the required special scene, and controlling the light source module to start the illumination intensity simulation mode under that scene mode. This simulates real sunlight, achieving the purpose of regulating the biological clock and metabolism, and ensuring the human body's physiological and psychological needs for sunlight.

Description

Technical Field

[0001] This invention belongs to the field of light simulation technology, and more specifically, relates to a biomimetic device and control method for a solar light source. Background Technology

[0002] In special enclosed spaces such as space stations, spacecraft, and ships, the lack of natural light can easily lead to reduced visual comfort and physiological dysfunction among personnel, resulting in psychological problems, memory loss, decreased comfort, and fatigue, ultimately reducing work efficiency. Furthermore, the lack of sunlight can cause vitamin D deficiency, metabolic disorders, and weakened immunity, significantly impacting their work capacity and quality of life. Therefore, providing a scientifically designed lighting environment is crucial. Existing light source devices cannot be arbitrarily adjusted or set, and are unsuitable for underground environments. Moreover, existing light source devices are integrated units; if one part fails, the entire device may malfunction.

[0003] Currently, a high-intensity solar radiation source simulation device exists on the market. This device includes: a cabinet, a focusing unit, a cooling fan, a power supply chassis, a trigger, and an aperture. The focusing unit, cooling fan, power supply, trigger, and aperture are all housed within the cabinet. The two ends of the focusing unit are connected to the power supply chassis and the trigger, respectively. The cooling fan is located beside the focusing unit to cool it. The power supply and trigger are connected. The emitted light from the focusing unit passes through the aperture to adjust the size of the light spot, and the intensity of the light spot is adjusted by regulating the output power of the power supply. This invention utilizes a focusing unit, a plane mirror, and an aperture to simulate a high-intensity solar radiation source. The plane mirror changes the direction of the light beam's propagation, and the aperture adjusts the size of the passing beam. The overall footprint is significantly reduced, making it convenient for experimental research.

[0004] This high-intensity solar radiation source simulation device solves the problems of existing technologies, such as limitations imposed by natural conditions, poor stability, and poor adjustability and uniformity of concentrated irradiance. However, it can only simulate high-intensity solar radiation and cannot simulate lighting under different natural conditions, thus failing to achieve a scientifically sound lighting environment. Therefore, a biomimetic solar source device and control method are needed to simulate sunlight according to natural time to meet the natural light needs of workers in enclosed spaces. Summary of the Invention

[0005] To address the aforementioned deficiencies or improvement needs of existing technologies, this invention provides a biomimetic solar light source device and control method. By collecting sunlight data at different times of the year, decomposing the sunlight into multiple light sources, measuring their intensities separately, and then outputting and integrating these different light sources, it simulates real sunlight. This aims to regulate the biological clock and metabolism, ensuring the body's physiological and psychological needs for sunlight are met. By setting multiple scene modes, in addition to simulating normal sunlight, it provides various living scenarios and allows switching between multiple modes to meet the needs of personnel inside air-raid shelters from both psychological and physiological perspectives, ensuring their physical and mental health.

[0006] To achieve the above objectives, according to a first aspect of the present invention, a control method for a biomimetic solar light source device is provided, comprising the following steps:

[0007] S100: The high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group and infrared lamp group are controlled by independent signal routes, and then the signals are centralized in the control module.

[0008] S200, Analyze the natural lighting patterns and constant scene patterns under different weather conditions, and decompose the intensity of various lights under different lighting conditions;

[0009] S300: Based on the laws of natural lighting, and according to the pre-set different time periods of the day, set the dynamic light intensity simulation mode of the light source module as time changes;

[0010] S400: Set multiple scene modes and, according to constant scene rules, set the light intensity simulation mode of the light source module in various scene modes;

[0011] S500, under normal operating conditions, automatically controls the light source module to start the dynamic light intensity simulation mode according to the natural light pattern over time, dynamically simulating the whole day's sunshine;

[0012] S600: When special scene lighting is required, manually adjust the required special scene, and the automatic control light source module will start the light intensity simulation mode of that scene mode.

[0013] Further, in step S200, the natural lighting includes time patterns such as morning, noon, afternoon, dusk, and night, and the constant scene includes scene patterns such as ultraviolet supplementation, sunbathing, infrared therapy, playground lighting, and reading. The analysis process includes:

[0014] S210. Measure the illumination under different natural illumination times and constant scenes, classify it into high color temperature light, low color temperature light, ultraviolet light and infrared light, and analyze the intensity of each type of light in the illumination.

[0015] S220. Based on different natural lighting times and constant scenes, reconstruct the various light intensities obtained from the analysis, and compare the reconstructed lighting with the measured values.

[0016] S230. Based on the comparison results, adjust the intensity of various lights after analysis until the error between the reconstructed illumination and the measured value is within the set range, and obtain the simulation parameters under different natural illumination times and constant scenes.

[0017] S240. Obtain illumination under different weather conditions, and repeat steps S210-S230 to obtain simulation parameters under different weather conditions.

[0018] S250: Measure the duration of various time patterns throughout the day under four seasonal conditions, and select the most representative time points within each time period.

[0019] Further, in step S220, a parametric model is used to predict the illumination intensity vector formed after recombining the intensities of various lights, and then the least squares method is used to measure the difference between the predicted value and the actual measured value, specifically:

[0020]

[0021] Among them, I i (t) is the actual measured light intensity vector.

[0022] M(θ,t i () is a parametric model.

[0023] θ is the simulation parameter.

[0024] N is the number of samples.

[0025] t i For the time point of the i-th sample,

[0026] ||·||2 represents the Euclidean norm.

[0027] Furthermore, in step S240, when obtaining illumination under different weather conditions, the influence of each weather type on the intensity and spectral distribution of light is introduced based on the simulation parameters of different natural illumination times, so as to obtain the simulation parameters I′(t, W) of illumination under the corresponding weather conditions, specifically:

[0028] I′(t, W)=F(t, W)×W weather [:,W],

[0029] Where F(t, W) is a function of time and weather type.

[0030] t is time,

[0031] W represents the weather type.

[0032] W weather This is a weight matrix, where each column represents a weight vector for a weather type.

[0033] W weather [:,W] represents the column corresponding to the weather type selected from the weight matrix.

[0034] Furthermore, step S300 specifically includes the following steps:

[0035] S310. Under the conditions of four seasons, the simulation parameters under different natural light durations are combined with the most representative time points in each time period.

[0036] S320. Plot the simulation parameters at each time point on the number axis, and connect the simulation parameters at each time point with a smooth curve to obtain the dynamic curve of the simulation parameters for one day under each seasonal condition.

[0037] S330. Plot the simulation parameters for one day under the four seasonal conditions on the number axis, and connect the simulation parameters for each season with a smooth curve to obtain the dynamic curve of the simulation parameters for each day.

[0038] S340. Following the methods in steps S310-S320, obtain the dynamic curves of simulated weather parameters except for sunny days;

[0039] S350. Set the number of days with weather other than sunny days, and randomly replace the corresponding simulation parameter dynamic curve in the simulation parameter dynamic curve of each day.

[0040] S360 integrates and obtains the overall simulation parameter dynamic curve for one year, and uses this overall simulation parameter dynamic curve as the dynamic light intensity simulation mode to automatically control the light source module.

[0041] Furthermore, in step S320, when connecting the simulation parameters at each time point with a smooth curve, the light intensity distribution is relatively uniform in each time period, while the light intensity varies more significantly at the boundary of each time period. Therefore, the slope of the connecting curve is controlled to be greater at the boundary of each time period.

[0042] Furthermore, in step S320, the slope of the curve is adjusted using the B-spline interpolation method while maintaining continuity, thereby constructing a smooth curve of light intensity throughout the day, specifically as follows:

[0043]

[0044] Among them, C S(t) is a smooth curve of the light intensity during a day in season S.

[0045] B i (t) is a B-spline basis function.

[0046] α i As control points,

[0047] ω i (t) is a weighting function used to control the slope at the boundary.

[0048] Furthermore, in step S330, when connecting the simulation parameters of each season with a smooth curve, the light intensity distribution is relatively uniform in each season, while the light intensity varies more at the boundary of each season. Therefore, the slope of the connecting curve is controlled to be greater at the boundary of each season.

[0049] Furthermore, in step S330, considering the obvious periodicity of light intensity, we can use a Fourier series to approximate the light pattern of each season, specifically:

[0050]

[0051] Among them, Q S (t) is the simulated parameter vector for season S.

[0052] a S，k The coefficient related to the season S.

[0053] K is the number of terms in the Fourier series.

[0054] φ k (t) is the basis function for the change in illumination at different frequencies.

[0055] According to a second aspect of the present invention, a biomimetic solar light source device is provided, comprising:

[0056] The light source module includes a high color temperature lamp group, a low color temperature lamp group, an ultraviolet lamp group, and an infrared lamp group, which emit warm light, cool light, ultraviolet light, and far-infrared light, respectively.

[0057] The light source module is mounted on a bracket, and a handle is hinged to the side of the bracket away from the light source module via a hinge.

[0058] The light-emitting surface of the light source module is also provided with a reflector, and the inner wall of the reflector is provided with scale-like protrusions, which are molded from white PET material.

[0059] It also includes a power supply module, which is used to supply power to the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group and the infrared lamp group respectively;

[0060] The control module is used to control the operating parameters of the light source module;

[0061] And an interaction module, used to interact with the control module.

[0062] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects:

[0063] 1. The biomimetic solar light source control method of the present invention collects light data at different times of the four seasons, decomposes the light into multiple types of light and measures their intensity separately, and then outputs and integrates these types of light to simulate real sunlight, thereby achieving the purpose of regulating the biological clock and regulating metabolism, and ensuring the physiological and psychological needs of the human body for sunlight.

[0064] 2. The solar light source bionic device control method of the present invention provides a light source that is not affected by time, season and climate, can provide continuous or intermittent illumination, and has a stable and adjustable total irradiance.

[0065] 3. The bionic solar light source control method of the present invention can, through the switching of different modes, not only meet the basic needs of the human body for sunlight in a short period of time, but also provide lighting for people in air-raid shelters for a long period of time, allowing them to feel the same sensation of being bathed in sunlight in a confined environment as they do on the ground.

[0066] 4. The solar light source bionic device control method of the present invention, by setting multiple scene modes, can not only simulate normal sunlight, but also provide a variety of living scenarios and switch between multiple modes, so as to meet the needs of people in air-raid shelters from both psychological and physiological perspectives and ensure the physical and mental health of the people. Attached Figure Description

[0067] Figure 1 This is a schematic diagram of the structure of a biomimetic solar light source device according to an embodiment of the present invention;

[0068] Figure 2 This is a schematic diagram of the reflector structure of a biomimetic solar light source device according to an embodiment of the present invention;

[0069] Figure 3 This is a schematic diagram illustrating the reflection principle of a reflector in a biomimetic solar light source device according to an embodiment of the present invention.

[0070] Figure 4 This is a schematic diagram of the operation interface of a biomimetic solar light source device according to an embodiment of the present invention;

[0071] Figure 5 This is a schematic diagram of the PWM control logic of a biomimetic solar light source device according to an embodiment of the present invention;

[0072] Figure 6This is a schematic diagram of the power supply circuit of a power supply module for a biomimetic solar light source device according to an embodiment of the present invention;

[0073] Figure 7 This is a flowchart illustrating a control method for a biomimetic solar light source device according to an embodiment of the present invention.

[0074] Figure 8 This is a flowchart illustrating step S200 in a control method for a biomimetic solar light source device according to an embodiment of the present invention.

[0075] Figure 9 This is a flowchart illustrating step S300 in a control method for a biomimetic solar light source device according to an embodiment of the present invention.

[0076] In all the accompanying drawings, the same reference numerals denote the same technical features, specifically: 1-bracket, 2-light source module, 3-hinge, 4-handle, 5-reflector, 6-scale-like protrusion. Detailed Implementation

[0077] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0078] Example 1

[0079] like Figure 1-6 As shown, an embodiment of the present invention provides a biomimetic solar light source device, comprising:

[0080] The light source module 2 includes a high color temperature lamp group, a low color temperature lamp group, an ultraviolet lamp group, and an infrared lamp group. The high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group, and infrared lamp group emit warm light, cool light, ultraviolet light, and far-infrared light, respectively. The light source module 2 is mounted on a bracket 1, and a handle 4 is hinged to the side of the bracket 1 away from the light source module 2 via a hinge 3. The emitting surface of the light source module 2 is also provided with a reflector 5. The inner wall of the reflector 5 has scale-like protrusions 6, which can reasonably perform secondary optical distribution and effectively reduce glare; and the scale-like protrusions 6 are molded from white PET material, resulting in a reflectivity of over 90%.

[0081] A power supply module, which is used to supply power to the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group and the infrared lamp group respectively;

[0082] The control module is used to control the power supply module to supply power to the high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group and infrared lamp group respectively. The control module is also used to control the operating parameters of the high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group and infrared lamp group respectively.

[0083] The power supply module includes a control power supply unit and four lamp group power supply units, which are connected in parallel. The control power supply unit is used to supply power to the control module, and the four lamp group power supply units are used to supply power to the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group, and the infrared lamp group, respectively.

[0084] The four lamp power supply units are respectively type A, type B, and type C driver power supplies used to power the high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group, and infrared lamp group.

[0085] The high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group, and infrared lamp group are respectively high color temperature visible light LED, low color temperature visible light LED, ultraviolet LED, and infrared LED.

[0086] It also includes an interaction module, which is used to interact with the control module.

[0087] In this embodiment, the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group, and the infrared lamp group emit warm light, cold light, ultraviolet light, and far-infrared light, respectively.

[0088] The control module is an intelligent control box.

[0089] The interactive module includes both manual and automatic control sections. The control interface on the display screen has independent control buttons for each function, and the control parameters can be manually modified and set using the SET button. Alternatively, the automatic control button can be pressed for fully automatic control.

[0090] The interaction module is used to send control signals to the control module. The control signals include power supply control signals and parameter adjustment signals for the high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group, or infrared lamp group.

[0091] The parameter adjustment signals include brightness adjustment signals for high color temperature lamp groups, low color temperature lamp groups, ultraviolet lamp groups, or infrared lamp groups.

[0092] When the control module receives a brightness adjustment signal for the high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group, or / and infrared lamp group, it adjusts the voltage of the high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group, or / and infrared lamp group to adjust the brightness of the lamp group.

[0093] When the control module receives a power supply control signal for the high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group, or / and infrared lamp group, it starts the lamp group power supply unit to supply power to the high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group, or / and infrared lamp group.

[0094] This embodiment uses an MT3608 boost converter chip to form a DC-DC boost circuit, boosting the supply voltage to 12V for the overall power supply of the controller. Two ceramic capacitors are added to the input and output terminals for filtering, effectively reducing power supply ripple noise. The solution also includes indicator light circuits for easy observation and troubleshooting to determine whether the fault is at the VCC terminal or the output terminal.

[0095] In this embodiment, the communication scheme of the interaction module adopts a TTL serial communication to RS485 conversion scheme. RS485 uses differential signal negative logic, where +2V to +6V represents "1" and -2V to -6V represents "0". This scheme uses a two-wire RS485 communication mode, which is half-duplex communication. The RS485 communication interface has strong anti-interference capability and good noise interference resistance. In industrial control, the RS485 bus is widely used due to its simple interface, convenient networking, and long transmission distance. To improve the overall reliability of this scheme, a MAX485 chip is used to convert the TTL communication mode with poor anti-interference capability to RS485 communication mode, which greatly improves the long-distance control capability.

[0096] The light source module 2 has a color temperature range of 2961k to 5999k, a maximum visible light intensity of 15730, a maximum color rendering index of 95.6, a color fidelity of >97, and a color saturation of >99.

[0097] It should be noted that the high color temperature lamp group and the low color temperature lamp group have different color temperatures, and the high color temperature lamp group and the low color temperature lamp group are arranged alternately; the UVB band light source of the ultraviolet lamp group is 303-315nm; and the housing of the ultraviolet lamp group is a quartz glass light-emitting mask; the far-infrared band light source of the infrared lamp group is 840-860nm.

[0098] Specifically, the high color temperature lamp group and the low color temperature lamp group have color temperatures of 6000K and 2700K respectively. The lamps are made using full-spectrum LEDs with color temperatures of 6000K and 2700K, and their spectral continuity simulates the visible spectrum of sunlight. By changing the output duty cycle of the two light sources through an intelligent controller, stepless color matching can be achieved, realizing the function of adjustable color temperature and brightness, thereby realizing the variation of sunlight's color temperature and brightness at different times.

[0099] Example 2

[0100] like Figure 7 As shown, this embodiment of the invention provides a control method for a biomimetic solar light source device, comprising the following steps:

[0101] S100: The high color temperature lamp group, low color temperature lamp group, ultraviolet lamp group and infrared lamp group are controlled by independent signal routes, and then the signals are centralized in the control module.

[0102] S200, Analyze the natural lighting patterns and constant scene patterns under different weather conditions, and decompose the intensity of various lights under different lighting conditions;

[0103] S300. According to the laws of natural lighting, and based on the pre-set different time periods of the day, set the dynamic light intensity simulation mode of the light source module 2 as time changes.

[0104] S400: Set multiple scene modes and, according to constant scene rules, set the light intensity simulation mode of light source module 2 in various scene modes;

[0105] S500 Under normal operating conditions, the automatic control light source module 2 starts the dynamic light intensity simulation mode according to the natural light pattern over time, dynamically simulating the sunshine throughout the day;

[0106] S600 When special scene lighting is required, manually adjust the required special scene, and automatically control the light source module 2 to start the light intensity simulation mode of that scene mode.

[0107] like Figure 8 As shown, in step S200, the natural lighting includes time patterns such as morning, noon, afternoon, dusk, and night, and the constant scene includes scene patterns such as ultraviolet supplementation, sunbathing, infrared therapy, playground lighting, and reading. The analysis process includes:

[0108] S210. Measure the illumination under different natural illumination times and constant scenes, classify it into high color temperature light, low color temperature light, ultraviolet light and infrared light, and analyze the intensity of each type of light in the illumination.

[0109] S220. Based on different natural lighting times and constant scenes, reconstruct the various light intensities obtained from the analysis, and compare the reconstructed lighting with the measured values.

[0110] S230. Based on the comparison results, adjust the intensity of various lights after analysis until the error between the reconstructed illumination and the measured value is within the set range, and obtain the simulation parameters under different natural illumination times and constant scenes.

[0111] S240. Obtain illumination under different weather conditions, and repeat steps S210-S230 to obtain simulation parameters under different weather conditions.

[0112] S250: Measure the duration of various time patterns throughout the day under four seasonal conditions, and select the most representative time points within each time period.

[0113] In step S220, a parametric model is used to predict the illumination intensity vector formed after recombining the intensities of various lights, and then the least squares method is used to measure the difference between the predicted value and the actual measured value. Specifically:

[0114]

[0115] Among them, I i (t) is the actual measured light intensity vector.

[0116] M(θ,t i () is a parametric model.

[0117] θ is the simulation parameter.

[0118] N is the number of samples.

[0119] t i For the time point of the i-th sample,

[0120] ||·||2 represents the Euclidean norm.

[0121] In step S230, the simulation parameters θ are adjusted based on the least squares result to minimize LS(θ). The adjusted model parameters θ * for:

[0122] θ * =arg min θ LS(θ).

[0123] In step S240, when obtaining illumination under different weather conditions, the influence of each weather type on the intensity and spectral distribution of light is introduced based on the simulation parameters of different natural illumination times, so as to obtain the simulation parameters I′(t, W) of illumination under the corresponding weather conditions, specifically:

[0124] I′(t, W)=F(t, W)×W weather [:,W],

[0125] Where F(t, W) is a function of time and weather type.

[0126] t is time,

[0127] W represents the weather type.

[0128] W weather This is a weight matrix, where each column represents a weight vector for a weather type.

[0129] Wweather [:,W] represents the column corresponding to the weather type selected from the weight matrix.

[0130] like Figure 9 As shown, step S300 specifically includes the following steps:

[0131] S310. Under the conditions of four seasons, the simulation parameters under different natural light durations are combined with the most representative time points in each time period.

[0132] S320. Plot the simulation parameters at each time point on the number axis, and connect the simulation parameters at each time point with a smooth curve to obtain the dynamic curve of the simulation parameters for one day under each seasonal condition.

[0133] S330. Plot the simulation parameters for one day under the four seasonal conditions on the number axis, and connect the simulation parameters for each season with a smooth curve to obtain the dynamic curve of the simulation parameters for each day.

[0134] S340. Following the methods in steps S310-S320, obtain the dynamic curves of simulated weather parameters except for sunny days;

[0135] S350. Set the number of days with weather other than sunny days, and randomly replace the corresponding simulation parameter dynamic curve in the simulation parameter dynamic curve of each day.

[0136] S360. The overall simulation parameter dynamic curve for one year is obtained by integration. The dynamic light intensity simulation mode is set using the overall simulation parameter dynamic curve to automatically control the light source module 2.

[0137] In step S320, when connecting the simulation parameters at each time point with a smooth curve, the light intensity distribution is relatively uniform in each time period, while the light intensity varies more at the boundary of each time period. Therefore, the slope of the connecting curve is controlled to be greater at the boundary of each time period.

[0138] In step S320, the slope of the curve is adjusted using the B-spline interpolation method while maintaining continuity, thereby constructing a smooth curve of light intensity throughout the day, specifically as follows:

[0139]

[0140] Among them, C S (t) is a smooth curve of the light intensity during a day in season S.

[0141] B i (t) is a B-spline basis function.

[0142] α i As control points,

[0143] ω i (t) is a weighting function used to control the slope at the boundary.

[0144] In step S330, when connecting the simulation parameters of each season with a smooth curve, the light intensity distribution is relatively uniform in each season, while the light intensity varies more at the boundary of each season. Therefore, the slope of the connecting curve is controlled to be greater at the boundary of each season.

[0145] In step S330, considering the obvious periodicity of light intensity, we can use a Fourier series to approximate the light pattern of each season, specifically:

[0146]

[0147] Among them, Q S (t) is the simulated parameter vector for season S.

[0148] a S，k The coefficient related to the season S.

[0149] K is the number of terms in the Fourier series.

[0150] φ k (t) is the basis function for the change in illumination at different frequencies.

[0151] In step S400, the corresponding light intensity is constant in various scene modes, so the intensity of various lights is also constant. Therefore, in these scenes, there is no need to consider the dynamic adjustment process.

[0152] In step S600, after activating the scene mode, a countdown timer is simultaneously set. After the countdown or manual adjustment, the mode switches to dynamic light intensity simulation mode or other scene modes. The scene modes are controlled by zones to meet the needs of different users; in areas where the scene mode is activated, dynamic light intensity simulation mode is used.

[0153] It's worth noting that when narrow pulses of equal impulse but different shapes are applied to an inertial circuit, their effects are essentially the same. PWM control technology is based on this conclusion, controlling the on / off state of semiconductor switching devices to produce a series of pulses with equal amplitude but unequal width at the output. These pulses are used to replace sine waves or other desired waveforms. In this application, we control the output ratio of individual LEDs by controlling the pulse width, allowing stepless adjustment from 1% power to 100% power. This achieves precise control over all functions.

[0154] A hardware design using the LM224 voltage comparator replaces the traditional software-controlled PWM duty cycle scheme. The hardware control method offers high current accuracy. The control accuracy of the charging current depends only on the accuracy of the current sampling resistor, and is independent of the microcontroller. It is not limited by the adjustment speed of the software PWM or the accuracy of the ADC.

[0155] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A control method of a solar light source bionic device, characterized in that, The method comprises the following steps: S100, the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group and the infrared lamp group are divided into independent signal route control, and the signals are concentrated in the control module; S200, the natural light rules under different weathers and the constant scene rules are analyzed, and the intensity of various lights under different state lights is decomposed; S300, according to the natural light rules, the dynamic light intensity simulation mode of the light source module (2) changing with time is set according to the preset time period of the whole day; S400, a plurality of scene modes are set, and the light intensity simulation mode of the light source module (2) under various scene modes is set according to the constant scene rules; S500, in the normal operation state, the dynamic light intensity simulation mode of the light source module (2) is automatically controlled to start according to the natural light rules, and the whole day sunshine is dynamically simulated; S600, when special scene light is needed, the special scene needed is manually adjusted, and the light intensity simulation mode of the light source module (2) under the scene mode is automatically controlled to start; In step S200, the natural light includes time modes of morning, noon, afternoon, dusk and night, and the constant scene includes scene modes of ultraviolet supplement, sunbathing, infrared physiotherapy, playground lighting and reading, and the analysis process includes: S210, the light under different natural light time and constant scene is measured, which is divided into high color temperature light, low color temperature light, ultraviolet light and infrared light, and the intensity of various lights in the light is analyzed; S220, according to different natural light time and constant scene, the intensity of various lights is recombined according to the analyzed intensity, and the recombined light is compared with the measured value; S230, according to the comparison result, the intensity of various lights after analysis is adjusted until the error between the recombined light and the measured value is within the set range, and the simulation parameters under different natural light time and constant scene are obtained; S240, the light under different weather conditions is obtained, steps S210-S230 are repeated, and the simulation parameters under different weather conditions are obtained; S250, the time period of each time mode in four seasons is measured, and the most representative time point in each time period is selected; In step S220, the light intensity vector formed after the intensity of various lights is recombined by using the parameterized model is predicted, and the least square method is used to measure the difference between the predicted value and the actual measured value, specifically: ， wherein is the actually measured light intensity vector, Parametric model, for simulation parameters, For sample number, For the first time point of the sample, denotes the Euclidean norm; In step S240, when the light in different weather states is obtained, according to the simulation parameters of different natural light time, the influence of each weather type on the intensity and spectral distribution of light is introduced to obtain the simulation parameters of light in the corresponding weather state , specifically: ， wherein is a function of time and weather type, Time, for weather type, is a weight matrix, where each column represents a weight vector for a weather type, To select the column from the weight matrix that corresponds to the weather type.

2. The control method of a solar light source bionic device according to claim 1, characterized in that, In step S300, the following steps are included: S310, under four seasonal conditions, the simulation parameters under different natural light time are combined with the most representative time point in each time period; S320, the simulation parameters of each time point are marked on the number axis, and the simulation parameters of each time point are connected by a smooth curve to obtain the simulation parameter dynamic curve of a day in each seasonal condition; S330, the simulation parameters of a day in four seasonal conditions are marked on the number axis, and the simulation parameters of each season are connected by a smooth curve to obtain the simulation parameter dynamic curve of each day; S340, according to the method in steps S310-S320, the simulation parameter dynamic curve of the weather except sunny day is obtained; S350, the number of days of the weather except sunny day is set, and the corresponding simulation parameter dynamic curve is randomly replaced in the simulation parameter dynamic curve of each day; S360, the whole simulation parameter dynamic curve of a year is integrated, and the dynamic light intensity simulation mode is set according to the whole simulation parameter dynamic curve to automatically control the light source module (2).

3. The control method of a solar light source bionic device according to claim 2, characterized in that, In step S320, when connecting the simulation parameters at each time point with a smooth curve, the light intensity distribution is relatively uniform in each time period, and the relative change amplitude of the light intensity is relatively large at the junction of each time period, so the slope of the connected curve is larger at the junction of each time period.

4. The control method of a solar light source bionic device according to claim 3, characterized in that, In step S320, the B-spline interpolation method is used to adjust the curve slope under the premise of maintaining continuity, so as to construct a smooth curve of the light intensity in a day, specifically: ， wherein is a smooth curve of the light intensity within a day in season S, are B-spline basis functions, for control points, is a weight function for controlling the interface slope.

5. The control method of a solar light source bionic device according to claim 4, characterized in that, In step S330, when connecting the simulation parameters of each season with a smooth curve, the light intensity distribution is relatively uniform in each season, and the relative change amplitude of the light intensity is relatively large at the junction of each season, so the slope of the connected curve is larger at the junction of each season.

6. The control method of a solar light source bionic device according to claim 5, characterized in that, In step S330, considering the obvious periodicity of the light intensity, the Fourier series is used to approximate the light mode of each season, specifically: ， wherein is the simulated parameter vector for season S, for a coefficient related to the season S, is the number of terms of the Fourier series, are basis functions for changes in illumination at different frequencies.

7. A solar light source bionic device, wherein the control is achieved by using the control method of any one of claims 1-6. It comprises: The light source module (2) comprises a high color temperature lamp group, a low color temperature lamp group, an ultraviolet lamp group and an infrared lamp group, which respectively emit warm light, cold light, ultraviolet light and far infrared light; The light source module (2) is installed on the support (1), and the side away from the light source module (2) of the support (1) is hinged with a handle (4) through a hinge (3); The light emitting surface of the light source module (2) is also provided with a reflecting cover (5), and the inner wall of the reflecting cover (5) is provided with scale-shaped convex parts (6), which are molded by white PET material; It also comprises a power supply module for supplying power to the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group and the infrared lamp group; A control module is used to control the working parameters of the light source module (2); And an interactive module is used to interact with the control module.

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