Solar light source bionic device and control method

Abstract

The invention discloses a solar light source bionic device and a control method. The method comprises the steps that S100, a high-color-temperature lamp set, a low-color-temperature lamp set, an ultraviolet lamp set and an infrared lamp set are controlled by independent signal lines; s200, analyzing a natural illumination rule and a constant scene rule, and decomposing the intensities of various lights; s300, according to a natural illumination rule, setting a dynamic illumination intensity simulation mode of the light source module changing along with time; s400, according to a constant scene rule, setting illumination intensity simulation modes of the light source module in various scene modes; s500, automatically controlling the light source module to start a dynamic illumination intensity simulation mode along with time according to a natural illumination rule, and dynamically simulating all-day sunlight; and S600, when special scene illumination is needed, manually adjusting the needed special scene, and controlling the light source module to start the illumination intensity simulation mode in the scene mode. Real sunlight is simulated, the purposes of adjusting a biological clock and metabolism are achieved, and physiological and psychological requirements of a human body on sunlight are guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of illumination simulation, and more specifically, relates to a solar light source bionic device and a control method. Background Art

[0002] In special enclosed spaces such as space stations, spacecraft, and ships, the lack of natural light exposure can easily lead to reduced visual comfort and physiological dysfunction of workers, resulting in psychological illness, memory loss, reduced comfort, and fatigue problems, which in turn lead to reduced work efficiency. In addition, due to the lack of sunlight, human health faces problems such as vitamin D deficiency, metabolic disorders, and decreased immunity, which have a significant impact on their work ability and living conditions. Therefore, it is particularly important to provide a scientific lighting environment. The light source device of the prior art cannot adjust and set the light source at will, nor can it be applied to the use requirements of the underground environment. In addition, the light source device of the prior art is an integrated arrangement. Once a part of such a light source device is damaged, there is a problem that the entire device cannot work normally.

[0003] At present, there is a high-intensity solar radiation light source simulation device on the market, which includes: a cabinet, a focusing unit, a cooling fan, a power supply chassis, a trigger and an aperture; the focusing unit, the cooling fan, the power supply, the trigger and the aperture are all arranged in the cabinet, the two ends of the focusing unit are respectively connected to the power supply chassis and the trigger, and the cooling fan is arranged next to the focusing unit to cool the focusing unit; the power supply is connected to the trigger, and the output light of the focusing unit is adjusted through the aperture to adjust the size of the light spot, and the intensity of the light spot is adjusted by adjusting the output power of the power supply. The present invention realizes the simulation of a high-intensity solar radiation light source by using a focusing unit, a plane reflector and an aperture; the plane reflector changes the propagation direction of the light beam, and the aperture is used to adjust the size of the light beam passing through; the overall footprint is greatly reduced, which is convenient for experimental research.

[0004] The high-intensity solar radiation light source simulation device solves the problems of being limited by natural conditions, poor stability, poor adjustability and uniformity of concentrated irradiance in the prior art. However, it can only simulate high-intensity solar radiation, but cannot simulate the illumination under different natural conditions, and cannot achieve a scientific lighting environment. Therefore, a solar light source bionic device and control method are needed to simulate solar illumination according to natural time to meet the natural light illumination needs of workers in a confined space. Summary of the invention

[0005] In view of the above defects or improvement needs of the prior art, the present invention provides a solar light source bionic device and control method, which collects illumination data of different time periods in four seasons, decomposes illumination into multiple types of light and measures their intensities respectively, and then integrates these types of light after output respectively, so as to simulate real sunlight, achieve the purpose of regulating the biological clock and regulating metabolism, and ensure the physiological and psychological needs of the human body for sunlight. By setting multiple scene modes, in addition to simulating normal sunlight, it also provides multiple life scenes and switches between multiple modes, so as to meet the needs of personnel in the air-raid shelter from both psychological and physiological aspects and ensure the physical and mental health of personnel.

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

[0007] S100, dividing the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group and the infrared lamp group into independent signal route controls, and then concentrating the signals in the control module;

[0008] S200, analyzing the natural lighting rules and constant scene rules under different weather conditions, and decomposing the intensities of various lights under different lighting conditions;

[0009] S300, according to the natural lighting law, according to the different time periods throughout the day preset in advance, setting the dynamic lighting intensity simulation mode of the light source module that changes with time;

[0010] S400, setting a plurality of scene modes, and setting a light intensity simulation mode of the light source module under various scene modes according to a constant scene rule;

[0011] S500, under normal operating conditions, automatically controlling the light source module to start a dynamic light intensity simulation mode over time according to the law of natural light, dynamically simulating full-day sunlight;

[0012] S600: When special scene lighting is required, the required special scene is manually adjusted, and the light source module is automatically controlled to start the lighting intensity simulation mode under the scene mode.

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

[0014] S210, measuring the illumination under different natural illumination times and constant scenes, dividing the illumination into high color temperature light, low color temperature light, ultraviolet light and infrared light, and analyzing the intensity of each light in the illumination;

[0015] S220, reorganizing according to the intensities of various lights analyzed according to different natural lighting times and constant scenes, and comparing the reorganized lighting with the measured value;

[0016] S230, adjusting the intensity of various lights after analysis according to the comparison result until the error between the reconstructed illumination and the measured value is within a set range, thereby obtaining simulation parameters under different natural illumination times and constant scenes;

[0017] S240, respectively obtain the illumination under different weather conditions, repeat steps S210-S230, and obtain simulation parameters under different weather conditions;

[0018] S250. Measure the duration of various time patterns in four seasons every day, and select the most representative time points in each time period.

[0019] Furthermore, in step S220, a parameterized model is used to predict the illumination intensity vector formed after the intensities of various lights are reorganized, and then the least square 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 parameterized model,

[0023] θ is the simulation parameter,

[0024] N is the number of samples,

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

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

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

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

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

[0030] t is time,

[0031] W is the weather type,

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

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

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

[0035] S310, respectively combining the simulation parameters under different natural light durations with the most representative time point in each time period under the conditions of four seasons;

[0036] S320, marking the simulation parameters at each time point on the numerical axis, connecting the simulation parameters at each time point with a smooth curve, and obtaining a dynamic curve of the simulation parameters for one day under each seasonal condition;

[0037] S330, marking the simulation parameters of one day in four seasons on the numerical axis, connecting the simulation parameters of each season with a smooth curve, and obtaining a dynamic curve of the simulation parameters of each day;

[0038] S340, according to the method in steps S310-S320, obtain a dynamic curve of simulation parameters of weather other than sunny days;

[0039] S350, setting the number of days with weather other than sunny days, and randomly replacing the corresponding simulation parameter dynamic curves in the simulation parameter dynamic curves of each day;

[0040] S360, integrating to obtain a dynamic curve of the overall simulation parameters for one year, setting the dynamic curve of the overall simulation parameters as a dynamic light intensity simulation mode, and automatically controlling the light source module.

[0041] Furthermore, in step S320, when the simulation parameters of each time point are connected with a smooth curve, the light intensity distribution is relatively uniform in each time period, while at the junction of each time period, the light intensity changes relatively greatly, so the slope of the connected curve is controlled to be larger at the junction of each time period.

[0042] Furthermore, in step S320, the slope of the curve is adjusted while maintaining continuity using the B-spline interpolation method, so as to construct a smooth curve of the light intensity within a day, specifically:

[0043]

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

[0045] B i (t) is the B-spline basis function,

[0046] α i is the control point,

[0047] ω i (t) is the weight function used to control the slope of the junction.

[0048] Furthermore, in step S330, when the simulation parameters of each season are connected with a smooth curve, the light intensity distribution is relatively uniform in each season, while at the junction of each season, the light intensity changes relatively greatly, so the slope of the connected curve is controlled to be larger at the junction of each season.

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

[0050]

[0051] Among them, Q S (t) is the simulation parameter vector of season S,

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

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

[0054] φ k (t) is the basis function of illumination variation at different frequencies.

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

[0056] A light source module, 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, cold light, ultraviolet light and far infrared light respectively;

[0057] The light source module is mounted on a bracket, and a handle is hingedly connected to a side of the bracket away from the light source module through a hinge;

[0058] The light emitting surface of the light source module is also provided with a reflector, the inner wall of the reflector is provided with a scale-like convex portion, and the scale-like convex portion is molded by 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] A control module, used to control the working parameters of the light source module;

[0061] and an interaction module, for interacting with the control module.

[0062] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art:

[0063] 1. The control method of the solar light source bionic device of the present invention collects light data in different time periods of four seasons, decomposes the light into multiple types of light and measures their intensities respectively, and then integrates these types of light after output respectively 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 control method of the solar light source bionic device of the present invention provides a light source that is not affected by time, season and climate, can illuminate continuously or intermittently, and has a stable and adjustable total irradiance.

[0065] 3. The control method of the solar light source bionic device of the present invention can satisfy the basic needs of the human body for sunlight in a short period of time through switching between different modes, and can also provide lighting for people in the air-raid shelter for a long time, allowing them to feel the same feeling of bathing in the sun as on the ground in a confined environment.

[0066] 4. The control method of the solar light source bionic device of the present invention, by setting a variety of scene modes, can not only simulate normal sunlight, but also provide a variety of life scenes and switch between multiple modes, so as to meet the needs of people in the air-raid shelter from both psychological and physiological aspects and ensure the physical and mental health of people. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

[0069] Figure 3 A schematic diagram of the reflection principle of a reflector of a solar light source bionic device according to an embodiment of the present invention;

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

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

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

[0073] Figure 7 A schematic flow chart of a control method of a solar light source bionic device according to an embodiment of the present invention;

[0074] Figure 8 This is a flow chart of step S200 in a method for controlling a solar light source bionic device according to an embodiment of the present invention;

[0075] Fig. 9 Schematic diagram of the process of step S300 in a control method of a solar light source bionic device according to an embodiment of the present invention.

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

[0077] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present 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 solar light source bionic 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, 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. The light source module 2 is mounted on a bracket 1, and a handle 4 is hingedly connected to the bracket 1 on a side away from the light source module 2 through a hinge 3. A reflector 5 is also provided on the light-emitting surface of the light source module 2, and a scaly protrusion 6 is provided on the inner wall of the reflector 5, so that secondary optical distribution can be reasonably performed and glare can be effectively reduced; and the scaly protrusion 6 is molded with a white PET material, so that the reflectivity is as high as more than 90%.

[0081] A power supply module, the power supply module 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] A control module, the control module is used to control the power supply module 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, and the control module is also used to control the working parameters of the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group and the infrared lamp group respectively;

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

[0084] The four lamp group power supply units are respectively 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, namely, the driving power supply type A, the driving power supply type A, the driving power supply type B and the driving power supply type C.

[0085] The high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group and the infrared lamp group are respectively visible light high color temperature LED, visible light low color temperature 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 manual control and automatic control. Independent control buttons for each function are set on the control interface of the display screen, and the control parameters can be manually modified and set through the SET button. You can also press the automatic control button for full automatic control.

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

[0091] The parameter adjustment signal includes a brightness adjustment signal for a high color temperature lamp group, a low color temperature lamp group, an ultraviolet lamp group, or an infrared lamp group.

[0092] When the control module receives a brightness adjustment signal for the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group or the infrared lamp group, the brightness of the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group or the infrared lamp group is adjusted by adjusting the voltage of the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group or the infrared lamp group.

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

[0094] This embodiment uses the MT3608 boost chip to form a DC-DC boost circuit, which increases the supply voltage to 12V for the overall power supply of the controller. Two ceramic capacitors are added to the input and output ends for filtering, which effectively reduces the ripple noise of the power supply. At the same time, the solution also sets an indicator light circuit to facilitate observation and maintenance of whether the VCC end fault or the output end fault is faulty.

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

[0096] The color temperature range of the light source module 2 is 2961k-5999k, the maximum visible light intensity is 15730, the maximum color rendering index is 95.6, the color reproduction degree is greater than 97, and the color saturation is greater than 99.

[0097] It is necessary to explain that the color temperatures of the high color temperature lamp group and the low color temperature lamp group are different, 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 shell 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 color temperatures of the high color temperature lamp group and the low color temperature lamp group are 6000K and 2700K respectively. The lamps are made of full-spectrum lamp beads with color temperatures of 6000K and 2700K, and their spectrum continuity simulates the visible spectrum of sunlight. By changing the output duty cycle of the two light sources through the intelligent controller, stepless color matching can be performed to achieve the function of adjustable color temperature and brightness, thereby realizing the changes in the color temperature and brightness of sunlight in different time periods.

[0099] Example 2

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

[0101] S100, dividing the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group and the infrared lamp group into independent signal route controls, and then concentrating the signals in the control module;

[0102] S200, analyzing the natural lighting rules and constant scene rules under different weather conditions, and decomposing the intensities of various lights under different lighting conditions;

[0103] S300, according to the natural lighting law, according to the different time periods throughout the day preset in advance, set the light source module 2 to have a dynamic light intensity simulation mode that changes with time;

[0104] S400, setting a plurality of scene modes, and setting a light intensity simulation mode of the light source module 2 in various scene modes according to a constant scene rule;

[0105] S500, in the normal operating state, the light source module 2 is automatically controlled to start the dynamic light intensity simulation mode according to the natural light law over time, and dynamically simulates the full-day sunshine;

[0106] S600: When special scene illumination is required, the required special scene is manually adjusted, and the light source module 2 is automatically controlled to start the illumination intensity simulation mode under the scene mode.

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

[0108] S210, measuring the illumination under different natural illumination times and constant scenes, dividing the illumination into high color temperature light, low color temperature light, ultraviolet light and infrared light, and analyzing the intensity of each light in the illumination;

[0109] S220, reorganizing according to the intensities of various lights analyzed according to different natural lighting times and constant scenes, and comparing the reorganized lighting with the measured value;

[0110] S230, adjusting the intensity of various lights after analysis according to the comparison result until the error between the reconstructed illumination and the measured value is within a set range, thereby obtaining simulation parameters under different natural illumination times and constant scenes;

[0111] S240, respectively obtain the illumination under different weather conditions, repeat steps S210-S230, and obtain simulation parameters under different weather conditions;

[0112] S250. Measure the duration of various time patterns in four seasons every day, and select the most representative time points in each time period.

[0113] In step S220, a parameterized model is used to predict the illumination intensity vector formed after the intensities of various lights are reorganized, and then the least square 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 parameterized model,

[0117] θ is the simulation parameter,

[0118] N is the number of samples,

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

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

[0121] In step S230, the simulation parameter θ is adjusted according to the result of the least squares method to minimize LS(θ). * for:

[0122] θ * = arg min θ LS(θ).

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

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

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

[0126] t is time,

[0127] W is the weather type,

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

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

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

[0131] S310, respectively combining the simulation parameters under different natural light durations with the most representative time point in each time period under the conditions of four seasons;

[0132] S320, marking the simulation parameters at each time point on the numerical axis, connecting the simulation parameters at each time point with a smooth curve, and obtaining a dynamic curve of the simulation parameters for one day under each seasonal condition;

[0133] S330, marking the simulation parameters of one day in four seasons on the numerical axis, connecting the simulation parameters of each season with a smooth curve, and obtaining a dynamic curve of the simulation parameters of each day;

[0134] S340, according to the method in steps S310-S320, obtain a dynamic curve of simulation parameters of weather other than sunny days;

[0135] S350, setting the number of days with weather other than sunny days, and randomly replacing the corresponding simulation parameter dynamic curves in the simulation parameter dynamic curves of each day;

[0136] S360 , integrating to obtain a dynamic curve of the overall simulation parameters for one year, setting the dynamic curve of the overall simulation parameters as a dynamic light intensity simulation mode, and automatically controlling the light source module 2 .

[0137] In step S320, when the simulation parameters of each time point are connected with a smooth curve, the light intensity distribution is relatively uniform in each time period, while at the junction of each time period, the light intensity changes relatively greatly, so the slope of the connected curve is controlled to be larger at the junction of each time period.

[0138] In step S320, the B-spline interpolation method is used to adjust the slope of the curve while maintaining continuity, so as to construct a smooth curve of the light intensity within a day, specifically:

[0139]

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

[0141] B i (t) is the B-spline basis function,

[0142] α i is the control point,

[0143] ω i (t) is the weight function used to control the slope of the junction.

[0144] In step S330, when the simulation parameters of each season are connected with a smooth curve, the light intensity distribution is relatively uniform in each season, while at the junction of each season, the light intensity changes relatively greatly, so the slope of the connected curve is controlled to be larger at the junction of each season.

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

[0146]

[0147] Among them, Q S (t) is the simulation parameter vector of season S,

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

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

[0150] φ k (t) is the basis function of illumination variation at different frequencies.

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

[0152] In step S600, after the scene mode is started, the countdown is synchronously set to maintain, and after the countdown or manual adjustment again, it is switched to the dynamic light intensity simulation mode or other scene modes. The scene mode is controlled by area to meet the needs of different people. In addition to the area where the scene mode is turned on, the dynamic light intensity simulation mode is used.

[0153] It is necessary to point out that when narrow pulses with equal impulses but different shapes are added to the inertial link, the effect is basically the same. PWM control technology is based on this conclusion, which controls the on and off of semiconductor switching devices, so that the output end obtains a series of pulses with equal amplitudes but unequal widths, and uses these pulses to replace sine waves or other required waveforms. In this application, we control the output ratio of a single LED lamp by controlling the pulse width, which can be adjusted steplessly from 1% power to 100% power. Accurate control of all functions is achieved.

[0154] The hardware design of LM224 voltage comparator replaces the traditional software control PWM duty cycle solution. The hardware control method has high current accuracy. The control accuracy of charging current is only related to the accuracy of current sampling resistor, and has nothing to do with the microcontroller. It is not limited by the adjustment speed of software PWM and the accuracy of ADC.

[0155] It will be easily understood by those skilled in the art that the above description is only 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 in the protection scope of the present invention.

Claims

1. A control method for a solar light source bionic device, characterized in that: The following steps are involved: S100, dividing the high color temperature lamp group, the low color temperature lamp group, the ultraviolet lamp group and the infrared lamp group into independent signal route controls, and then concentrating the signals in the control module; S200, analyzing the natural lighting rules and constant scene rules under different weather conditions, and decomposing the intensities of various lights under different lighting conditions; S300, according to the natural lighting rules and the pre-set different time periods throughout the day, setting the light source module (2) to a dynamic lighting intensity simulation mode that changes with time; S400, setting a plurality of scene modes, and setting a light intensity simulation mode of the light source module (2) in various scene modes according to a constant scene rule; S500, in a normal operating state, the light source module (2) is automatically controlled to start a dynamic light intensity simulation mode according to the natural light law over time, so as to dynamically simulate the sunlight throughout the day; S600: When special scene illumination is required, the required special scene is manually adjusted, and the light source module (2) is automatically controlled to start the illumination intensity simulation mode under the scene mode.

2. The control method of a solar light source bionic device according to claim 1, characterized in that: In step S200, the natural lighting includes time modes such as early morning, noon, afternoon, dusk, and night, and the constant scene includes scene modes such as ultraviolet supplementation, sunbathing, infrared therapy, playground lighting, and reading. The parsing process includes: S210, measuring the illumination under different natural illumination times and constant scenes, dividing the illumination into high color temperature light, low color temperature light, ultraviolet light and infrared light, and analyzing the intensity of each light in the illumination; S220, reorganizing according to the intensities of various lights analyzed according to different natural lighting times and constant scenes, and comparing the reorganized lighting with the measured value; S230, adjusting the intensity of various lights after analysis according to the comparison result until the error between the reconstructed illumination and the measured value is within a set range, thereby obtaining simulation parameters under different natural illumination times and constant scenes; S240, respectively obtain the illumination under different weather conditions, repeat steps S210-S230, and obtain simulation parameters under different weather conditions; S250. Measure the duration of various time patterns in four seasons every day, and select the most representative time points in each time period.

3. The control method of a solar light source bionic device according to claim 2, characterized in that: In step S220, a parameterized model is used to predict the illumination intensity vector formed after the intensities of various lights are reorganized, and then the least square method is used to measure the difference between the predicted value and the actual measured value, specifically: Among them, I i (t) is the actual measured light intensity vector, M(θ,t i ) is a parameterized model, θ is the simulation parameter, N is the number of samples, t i is the time point of the i-th sample, ||·||2 represents the Euclidean norm.

4. The control method of a solar light source bionic device according to claim 2, characterized in that: In step S240, when obtaining the illumination under different weather conditions, the influence of each weather type on the intensity and spectral distribution of light is introduced according to the simulation parameters of different natural illumination times, so as to obtain the simulation parameters I′(t, W) of the illumination under the corresponding weather conditions, which are specifically: I′(t,W)=F(t,W)×W weather [:,W], Among them, F(t, W) is a function of time and weather type, t is time, W is the weather type, W weather is a weight matrix, where each column represents a weight vector of a weather type. W weather [:, W] is the column corresponding to the weather type selected from the weight matrix.

5. A control method for a solar light source bionic device according to any one of claims 1 to 4, characterized in that: Step S300 specifically includes the following steps: S310, respectively combining the simulation parameters under different natural light durations with the most representative time point in each time period under the conditions of four seasons; S320, marking the simulation parameters at each time point on the numerical axis, connecting the simulation parameters at each time point with a smooth curve, and obtaining a dynamic curve of the simulation parameters for one day under each seasonal condition; S330, marking the simulation parameters of one day in four seasons on the numerical axis, connecting the simulation parameters of each season with a smooth curve, and obtaining a dynamic curve of the simulation parameters of each day; S340, according to the method in steps S310-S320, obtain a dynamic curve of simulation parameters of weather other than sunny days; S350, setting the number of days with weather other than sunny days, and randomly replacing the corresponding simulation parameter dynamic curves in the simulation parameter dynamic curves of each day; S360, integrating to obtain a dynamic curve of the overall simulation parameters for one year, setting the dynamic curve of the overall simulation parameters as a dynamic light intensity simulation mode, and automatically controlling the light source module (2).

6. The control method of a solar light source bionic device according to claim 5, characterized in that: In step S320, when the simulation parameters of each time point are connected with a smooth curve, the light intensity distribution is relatively uniform in each time period, while at the junction of each time period, the light intensity changes relatively greatly, so the slope of the connected curve is controlled to be larger at the junction of each time period.

7. The control method of a solar light source bionic device according to claim 6, characterized in that: In step S320, the B-spline interpolation method is used to adjust the slope of the curve while maintaining continuity, so as to construct a smooth curve of the light intensity within a day, specifically: Among them, C S (t) is the smooth curve of the light intensity in one day in season S, B i (t) is the B-spline basis function, α i is the control point, ω i (t) is the weight function used to control the slope of the junction.

8. The control method of a solar light source bionic device according to claim 6, characterized in that: In step S330, when the simulation parameters of each season are connected with a smooth curve, the light intensity distribution is relatively uniform in each season, while at the junction of each season, the light intensity changes relatively greatly, so the slope of the connected curve is controlled to be larger at the junction of each season.

9. The control method of a solar light source bionic device according to claim 8, characterized in that: In step S330, considering that the light intensity has obvious periodicity, the Fourier series is used to approximate the light pattern of each season, specifically: Among them, Q S (t) is the simulation parameter vector of season S, a S，k is the coefficient related to season S, K is the number of terms in the Fourier series, φ k (t) is the basis function of illumination variation at different frequencies.

10. A solar light source bionic device, which is controlled by using a control method for a solar light source bionic device as claimed in any one of claims 1 to 9, characterized in that: include: A light source module (2), the light source module (2) comprising a high color temperature lamp group, a low color temperature lamp group, an ultraviolet lamp group and an infrared lamp group, emitting warm light, cold light, ultraviolet light and far infrared light respectively; The light source module (2) is mounted on a bracket (1); a handle (4) is hingedly connected to the bracket (1) on a side away from the light source module (2) via a hinge (3); The light-emitting surface of the light source module (2) is also provided with a reflector (5), the inner wall of the reflector (5) is provided with a scale-shaped convex portion (6), and the scale-shaped convex portion (6) is molded using a white PET material; 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; A control module, used for controlling the working parameters of the light source module (2); and an interaction module, for interacting with the control module.

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