Intelligent human factor lighting system and method for carrying out ambient light monitoring on lighting field environment

Abstract

The invention discloses a system and a method for automatically adjusting a space illumination parameter. A control panel is used for setting an illumination target parameter in a space and driving an ambient light sensing module to control an intelligent lamp group in the space to illuminate according to the illumination parameter of a preset light formula; the control panel compares the numerical value of the illumination parameter in the actual environment detected by the ambient light sensing module with a set target parameter; when the control panel judges that the numerical value detected by the ambient light is different from a target parameter value, the control panel drives the ambient light sensing module to carry out a dimming program on the intelligent lamp group, and the dimming program comprises the step of adjusting the illumination uniformity of the space according to the actual illumination detected by the ambient light sensing module. And after calculation by an illumination uniformity formula, adjusting the illumination uniformity to a target illumination uniformity phase.

Description

Technical Field

[0001] The present invention provides a system and method for establishing a multi-spectral lighting situation database, and in particular relates to an intelligent human-factor lighting system for performing ambient light monitoring on a lighting scene environment. Background Art

[0002] Human beings are animals with changeable emotions. They will have different emotional reactions according to their psychological state, such as excitement, amusement, anger, disgust, fear, happiness, sadness, serene or neutral. When negative emotions (such as anger, disgust, fear) cannot be properly resolved, they will cause psychological harm or trauma to the human body, and eventually develop into mental illness. Therefore, how to provide an emotional resolution, relief or treatment system that can meet the needs of users in a timely manner is a huge business opportunity in today's highly competitive and high-pressure society.

[0003] In modern medical equipment, functional Magnetic Resonance Imaging (fMRI) systems can be used to measure changes in blood dynamics caused by neuronal activity. Due to the non-invasiveness of fMRI and its low radiation exposure, fMRI is currently mainly used in the study of the brain or spinal cord of humans and animals. At the same time, the test subject can also be examined through the electroencephalogram (EEG) of the electroencephalogram (EEG). When the same method is used to stimulate emotions, the reactions of different emotions can be seen. For example, the EEG patterns of fear and happiness are obviously different. Among them, when observing the reaction of a certain emotion under fMRI and EEG, for example, under the emotion of happiness (which can be induced by pictures and combined with facial emotion recognition), the blood oxygen concentration dependent contrast (BOLD) reaction is observed by fMRI, and it is found that there is a significant reaction phenomenon in the medial prefrontal cortex (Mpfc) that is different from the corresponding emotions (anger and fear). In contrast, for example, when observing the BOLD response under the emotions of fear and anger, fMRI was used to observe that there was a significant response in the amygdala region, indicating that the two types of emotions have different response areas in the brain. Therefore, the BOLD response in different areas of the brain can be used to clearly determine what emotion the test subject is currently in. In addition, if the EEG of an electroencephalogram (EEG) is used to examine and measure the test subject, the same method is used to stimulate the generation of emotions, and it can be seen that the brain wave patterns of fear and happiness are significantly different. Therefore, the different response brain wave patterns can also be used to determine what emotion the test subject is currently in. According to the above, in terms of functional magnetic resonance imaging (fMRI), emotions are distinguished by different BOLD responses, while in terms of electroencephalogram (EEG), emotions are distinguished by different brain wave patterns. Obviously, the methods used by the two to judge the emotions of the test subjects and the content of the records are completely different. Therefore, based on current technology, the test results of the same emotion of the same test subject cannot be replaced by the brain wave pattern of the electroencephalograph (EEG) to replace the blood oxygen concentration dependent contrast (BOLD) response of the functional magnetic resonance imaging system (fMRI).

[0004] The above discussion on the judgment of emotions by functional magnetic resonance imaging (fMRI) and electroencephalograph (EEG) is because the fMRI system is very expensive and large, so it is impossible to use the fMRI system in the commercial system and method of human-caused lighting. Similarly, if only the brain wave pattern of the electroencephalograph (EEG) is used to judge the emotions of the test subject, it may be encountered that the brain wave patterns of different test subjects for different emotions may be different. Therefore, it is currently impossible to use the blood oxygen concentration dependent contrast (BOLD) response of the functional magnetic resonance imaging system (fMRI) alone, or the brain wave pattern of the electroencephalograph (EEG) alone, through the editing of light formulas, to construct a commercial human-caused lighting method and system.

[0005] The above process has proven that human emotions can be changed by lighting humans. Therefore, when these human-centric lighting methods and systems are commercially operated, the light formula must accurately control the environment for providing human-centric lighting and the actual light field of the lighting module in different lighting fields to ensure that the lighting formula (for example, color temperature or illumination, etc.) provided by the human-centric lighting can enable users to achieve the expected effect. Summary of the invention

[0006] According to the above description, the human-caused lighting system for commercial use needs to further detect various background light sources in the control light field, especially the light that overflows into the space through the windows of the building, and compensate for the impact of the target spectrum set in the control light field, so that the lighting field can maintain the lighting program in the environment of the set target spectrum.

[0007] Therefore, the present invention first provides a system for automatically adjusting space lighting parameters, which is configured in the space with multiple smart lamp groups, multiple ambient light sensing modules, control panels and interface devices, all of which are connected through wireless communication. The smart lamp groups and the interface devices are paired with the ambient light sensing modules and the control module respectively through the wireless communication protocol. The system is characterized in that:

[0008] The control panel sets the lighting target parameters in the space and drives the ambient light sensing module to control the intelligent lamp group in the space to illuminate with the lighting parameters of the preset light recipe;

[0009] The control panel compares the value of the illumination parameter in the actual environment detected by the ambient light sensing module with the set target parameter; wherein,

[0010] When the control panel determines that the value of the ambient light detection is the same as the target parameter value, the ambient light sensing module continues to drive the smart lamp group to illuminate with the lighting parameters of the preset light recipe;

[0011] When the control panel determines that the value of the ambient light detection is different from the target parameter value, the control panel drives the ambient light sensing module to perform a dimming procedure on the smart lamp group, wherein the dimming procedure includes:

[0012] The ambient light sensing module performs dimming according to the target parameter so that the value of the illumination parameter in the actual environment is the same as the set target parameter value; and

[0013] The illumination uniformity of the space is adjusted based on the actual illumination detected by the ambient light sensing module. After calculation using the illumination uniformity formula, the illumination uniformity is adjusted to the target illumination uniformity.

[0014] The present invention then provides a method for automatically adjusting space lighting parameters, wherein a plurality of smart lamp groups, a plurality of ambient light sensing modules, a control panel and an interface device are arranged in the space, and all are connected via a wireless communication protocol, wherein the smart lamp groups and the interface device are paired with the ambient light sensing module and the control module respectively via the wireless communication protocol, and the method is characterized in that:

[0015] Driving the smart lamp group in the space to illuminate, the ambient light sensing module drives the smart lamp group in the space to illuminate with the lighting parameters of the preset light recipe;

[0016] Setting the lighting target parameters in the space, the user sets the lighting target parameters in the space through the control panel;

[0017] The ambient light sensing module is driven to detect the ambient light in the space. The control panel drives the ambient light sensing module to detect the ambient light in the space, and transmits the value of the ambient light detection to the control module;

[0018] To determine whether the ambient light detection value is the same as the target parameter, the control panel compares the value of the lighting parameter detected in the actual environment with the set target parameter; wherein,

[0019] When it is determined that the value of the ambient light detection is the same as the target parameter value, the ambient light sensing module continues to drive the smart lamp group to illuminate with the lighting parameters of the preset light recipe;

[0020] When it is determined that the value of the ambient light detection is different from the target parameter value, the control panel drives the ambient light sensing module to perform a dimming procedure on the smart lamp group, wherein the dimming procedure includes:

[0021] The ambient light sensing module performs dimming according to the target parameter so that the value of the illumination parameter in the actual environment is the same as the set target parameter value; and

[0022] The illumination uniformity of the space is adjusted based on the actual illumination detected by the ambient light sensing module. After calculation using the illumination uniformity formula, the illumination uniformity is adjusted to the target illumination uniformity.

[0023] The present invention then provides a method for automatically adjusting space lighting parameters, wherein a plurality of smart lamp groups, a plurality of ambient light sensing modules, a control panel and an interface device are arranged in the space, and all are connected via a wireless communication protocol, wherein the smart lamp group and the interface device are paired with the ambient light sensing module and the control module respectively via the wireless communication protocol, and the control module and the interface device are connected to the cloud via an intelligent Internet of Things, and the method is characterized in that:

[0024] Driving the smart lamp group in the space to illuminate, the ambient light sensing module drives the smart lamp group in the space to illuminate with the lighting parameters of the preset light recipe;

[0025] Set the lighting target parameters in the space. The control panel sets the equivalent black light illuminance (EML) and physiological stimulation value (CAF) of the human circadian rhythm according to the daily time interval as the target parameters set in the space;

[0026] The ambient light sensing module is driven to detect the ambient light in the space, and the control panel is used to drive the ambient light sensing module to detect the ambient light in the space, and the value of the ambient light detection is transmitted to the control module;

[0027] To determine whether the ambient light detection value is the same as the target parameter, the control panel compares the value of the lighting parameter detected in the actual environment with the set target parameter; wherein,

[0028] When it is determined that the value of the ambient light detection is the same as the target parameter value, the ambient light sensing module continues to drive the smart lamp group to illuminate with the lighting parameters of the preset light recipe;

[0029] When it is determined that the value of the ambient light detection is different from the target parameter value, the control panel drives the ambient light sensing module to perform a dimming procedure on the smart lamp group, wherein the dimming procedure includes:

[0030] The ambient light sensing module adjusts the light according to the target parameter so that the value of the lighting parameter in the actual environment is the same as the set target parameter value;

[0031] The illumination uniformity of the space is adjusted based on the actual illumination detected by the ambient light sensing module. After calculation using the illumination uniformity formula, the illumination uniformity is adjusted to the target illumination uniformity.

[0032] According to the system and lighting method for automatically adjusting space lighting parameters provided by the present invention, various lighting parameters in the lighting field can be controlled very accurately, for example, at least including: illuminance (lx), color temperature (CCT), color rendering index (Ra), equivalent black vision illuminance (EML), physiological stimulation value (CAF), light flicker rate (Flicker) and / or illumination uniformity, etc. In particular, the equivalent black vision illuminance (EML) and physiological stimulation value (CAF) in the lighting field must be accurate in order to determine the effect of the "light recipe" used by the user on mood adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1a It is the original data collection framework of the present invention on the physiological and emotional response of human beings to lighting;

[0034] Figure 1b It is a flow chart of collecting original data of human physiological and emotional response to lighting according to the present invention; Figure 1c It is the judgment process of the human factor lighting to specific physiological emotional response of the present invention;

[0035] Figure 2a The present invention is a method for establishing a human brain wave graph to physiological emotional response due to light exposure;

[0036] Figure 2b The present invention constructs a lighting database for users to perform effective human factors lighting;

[0037] Figure 3 is a system architecture diagram of the intelligent human factor lighting system of the present invention;

[0038] Figure 4 It is a method of constructing a human-caused lighting environment sharing platform of the present invention;

[0039] Figure 5a It is an automatically adjustable intelligent human-factor lighting method of the present invention;

[0040] Figure 5b It is the editing process of the situational dynamic spectrum editing platform of the present invention;

[0041] Figure 5c It is a situational dynamic spectrum program with conference function of the present invention; and

[0042] Figure 6 It is an intelligent human factor lighting system applied to commercial operations by the present invention;

[0043] Figure 7 The present invention is relative to Figure 6 The intelligent human-factor lighting system has a lighting fixture group control architecture at the lighting field end;

[0044] Figure 8aIt is a schematic diagram of a configuration of controlling the lighting of an intelligent lamp group in a lighting field according to the present invention; Figure 8b It is another configuration schematic diagram of controlling the lighting of an intelligent lamp group in a lighting field of the present invention; Fig. 9 It is a control device with display and communication functions of the present invention;

[0045] Figures 10a to 10d is a schematic diagram showing some embodiments of the present invention in which an external light source is incident on a space equipped with an intelligent human factor lighting system;

[0046] Fig.11a It is an intelligent method of the present invention for automatically adjusting spatial lighting parameters;

[0047] Fig.11b This is another intelligent method for automatically adjusting space lighting parameters of the present invention. DETAILED DESCRIPTION

[0048] In the following description of the present invention, the functional magnetic resonance imaging system is referred to as "fMRI system", the electroencephalogram is referred to as "EEG", and the blood oxygen concentration dependent contrast is referred to as "BOLD". In addition, in the embodiment of the color temperature test of the present invention, the test is performed in units of 100K. However, in order to avoid too lengthy descriptions, in the following descriptions, the so-called specific emotions refer to excitement or excitement, happiness, pleasure, etc., and 3000K, 4000K and 5700K will be used as color temperature test examples to illustrate the corresponding specific emotional reactions, so the present invention cannot be limited to the embodiments of these three color temperatures. At the same time, in order to enable the technical field of the present invention to fully understand its technical content, the relevant implementation methods and embodiments are provided here to illustrate. In addition, when reading the implementation methods provided by the present invention, please refer to the drawings and the following description content at the same time, wherein the shapes and relative sizes of the components in the drawings are only used to assist in understanding the content of the present implementation method, and are not used to limit the shapes and relative sizes of the components, so as to explain in advance.

[0049] The present invention uses an fMRI system to understand the correspondence between the spectrum and emotions in the brain through a physiological signal measurement method, and develops a preliminary mechanism for using light to affect human physiological and psychological reactions. Since the brain image of the fMRI system can determine which part of the human brain undergoes a hyperemia reaction when stimulated by light, the BOLD reaction can also be recorded. This BOLD reaction of brain hyperemia is also called the "blood oxygen concentration dependent reaction increase" condition. Therefore, the present invention can accurately and objectively infer the physiological emotional changes of the tester based on the image recording data of brain hyperemia under various emotions of the fMRI system and the reaction of the "blood oxygen concentration dependent reaction increase". Afterwards, based on the physiological emotions confirmed by the fMRI system, an electroencephalogram (EEG) is further used to record brain wave changes to establish the correlation between the two, in order to use the brain wave changes recorded by the electroencephalogram (EEG) to replace the emotional judgment of the fMRI system.

[0050] Therefore, the main purpose of the present invention is to record the BOLD response of the tester to the specific emotion by illuminating the tester during the test of the specific emotion in the fMRI system, so as to screen out which specific "effective color temperature" can produce a multiplying effect on the specific emotion, and use the color temperature of the illumination as the "effective color temperature" corresponding to the specific emotion. After that, the tester is illuminated with "effective color temperature", and the brain wave pattern under the stimulation of "effective color temperature" is recorded by the electroencephalogram (EEG), so that the specific brain wave pattern of the electroencephalogram (EEG) is associated with the specific BOLD response, and the specific brain wave pattern of the electroencephalogram (EEG) can be used to assist in judging the emotional changes of the user, so as to construct a set of human-factor illumination system and method that can be commercially operated, so as to solve the problem of having to use an expensive fMRI system to implement the human-factor illumination system, reduce the operating cost, and further meet the customized service needs.

[0051] First, please refer to Figure 1a , is the original data collection framework of the present invention on the physiological and emotional response of human beings to lighting. Figure 1a As shown, the intelligent human factor lighting system 100 is activated in an environment (e.g., a test space) that has been configured with various adjustable lighting modules, and provides light signal lighting parameters such as spectrum, light intensity, flicker rate, and color temperature that can be changed. The present invention uses the compatible image interaction platform 110 (fMRI compatible image interaction platform) formed by the fMRI system for different target emotions, and uses voice and image emotion guidance, while using a specific effective spectrum for 40 seconds of stimulation to observe the changes in the blood oxygen content in the brain of the tester, to verify whether the "effective color temperature" can significantly induce the tester's emotional response, and is described in detail as follows.

[0052] Next, please refer to Figure 1b and Figure 1c ,in, Figure 1b is a flow chart of the original data collection of the physiological and emotional response of human beings to light according to the present invention, and Figure 1c It is the process of judging people's specific physiological and emotional reactions to lighting. Figure 1b As shown in step 1100 in the figure, each tester is already on the compatible image interaction platform 110. Then, each tester is guided to perform various emotional stimulations through known pictures. Afterwards, as shown in step 1200, the BOLD response of the tester in the brain after being stimulated by the picture is recorded through the compatible image interaction platform 110. Then, as shown in step 1300, the tester is visually stimulated by providing a spectrum with different color temperature parameters through illumination. For example, LED lamps are used in combination with electronic dimmers to provide a spectrum with different color temperature parameters. In an embodiment of the present invention, 9 groups of visual stimulations with different color temperatures, such as 2700K, 3000K, 3500K, 4000K, 4500K, 5000K, 5500K, 6000K, and 6500K, are provided. Among them, after completing 40 seconds of effective light irradiation and stimulation each time, the tester can be selected to be illuminated by an invalid light source for 1 minute (full spectrum white light without flicker) to achieve the purpose of emotional relaxation. Furthermore, the test subject may be given a 40-second counter-effect light stimulus to observe whether the area that was responsive to the original effective light stimulus has a reduced response. In the embodiment of the present invention, after the compatible image interaction platform 110 has recorded the BOLD response of a certain emotion in the brain of the test subject after being stimulated by the picture, spectra with different color temperature parameters are provided to provide visual stimulation to the test subject, such as Figure 1c As shown in step 1310, a spectrum with a color temperature of 3000K is provided. Then, as shown in step 1320, a spectrum with a color temperature of 4000K is provided. Finally, as shown in step 1330, a spectrum with a color temperature of 5700K is provided to provide visual stimulation to the tester.

[0053] Next, as shown in step 1400, the compatible image interaction platform 110 records the BOLD responses of the various emotions in the brain of the tester after being stimulated by light. In an embodiment of the present invention, after the tester is stimulated by light with different color temperature parameters, the compatible image interaction platform 110 sequentially records the BOLD response results of the emotional response area in the tester's corresponding limbic system. Among them, the parts of the limbic system triggered by different emotions are different, and the above-mentioned limbic system with emotional response in the brain area is shown in Table 1 below.

[0054] Table 1

[0055] Limbic system Brain Translation Function ACC Cingulate cortex mood Cuneus Cuneata Vision, bipolar disorder control Cerebellum Cerebellum Balance, coordination, anti-depression and anxiety Insula Lobe Insula Emotion, addiction Lingual Gyrus Lingual gyrus Logic, vision, anti-depression and anxiety Rolandic Operculum Central groove Emotional management, taste perception Superior Frontal Gyrus Frontal gyrus Working memory, self-awareness, laughter Middle Temporal Gyrus Middle temporal gyrus Emotion recognition, creativity MCC Cingulate cortex mood Pallidum Basal ganglia Emotional, motor, cognitive, and reward systems Temporal Pole Temporal pole Emotion, language, hearing

[0056] The compatible image interaction platform 110 records the response results of BOLD in specific brain regions. The response results are determined by calculating the area size of these emotional response sites when there are more limbic systems with BOLD emotional responses in the brain region. For example, the larger the area with BOLD emotional responses, the stronger the response to specific physiological emotions. In the embodiment of the present invention, Figure 1c As shown in step 1410, the reaction result of BOLD after being irradiated with a spectrum of color temperature of 3000K is recorded. Then, as shown in step 1420, the reaction result of BOLD after being irradiated with a spectrum of color temperature of 4000K is recorded. Finally, as shown in step 1430, the reaction result of BOLD after being irradiated with a spectrum of color temperature of 5700K is recorded. Among them, after the tester has gone through the lighting procedure after the excitement (excitement) emotion is induced, the reaction result of BOLD in a specific area of ​​the brain recorded by the compatible image interaction platform 110 is shown in Table 2. Obviously, when irradiated with a color temperature of 3000K, the excitement can be further enhanced. Therefore, according to the results of the embodiment of the present invention, the optimal stimulation color temperature falls between 3000K and 4000K. However, it should be noted that after irradiation with a color temperature of 5700K, a negative inhibitory effect will be produced on the excitement emotion.

[0057] Table 2

[0058]

[0059] Among them, after the tester passed the lighting procedure after the happiness emotion was induced, the compatible image interaction platform 110 recorded the BOLD response results in specific brain areas as shown in Table 3. Obviously, when irradiating with a color temperature of 4000K, compared with irradiating with the other two color temperatures, the color temperature of 4000K can enhance the BOLD response of the brain area in the happiness situation. Therefore, according to the results of the embodiment of the present invention, the optimal stimulus color temperature for the happiness situation is around 4000K.

[0060] Table 3

[0061]

[0062] Among them, after the tester passed the lighting procedure after the amusement emotion was induced, the compatible image interaction platform 110 recorded the BOLD response results in specific brain areas as shown in Table 4. Obviously, the three color temperatures can enhance the BOLD response in the amusement brain area, especially when the color temperature is higher, the BOLD response in the amusement brain area is stronger.

[0063] Table 4

[0064]

[0065] Among them, after the tester passed the lighting procedure after the serene index emotion was induced, the compatible image interaction platform 110 recorded the response results of BOLD in specific brain areas as shown in Table 5. Obviously, when irradiating with a low color temperature of 3000K, the sense of tranquility or relaxation can be enhanced, however, when the color temperature is higher, it will have a negative inhibitory effect on the serene index emotion, especially, the higher the color temperature, the more obvious the negative inhibitory effect.

[0066] Table 5

[0067]

[0068] Then, as shown in step 1500, the specific color temperature is screened out by illumination to increase the BOLD dependent response of a specific emotion, and this specific color temperature is called "effective color temperature". In this embodiment, the BOLD response results of the emotional response area in the limbic system of the tester are recorded to summarize the stimulation effect of the color temperature on the brain, as shown in Tables 2 to 5 above. For the results of the BOLD brain area dependent response that can increase a specific emotion by screening out a specific color temperature, it is calculated that the specific color temperatures can make the response effect of the specific emotion reach the maximum response value (i.e., the maximum response area value of BOLD).

[0069] like Figure 1c As shown in step 1510 in FIG. 1 , the maximum response value is calculated only after the tester has recorded the excitement emotion on the compatible image interaction platform 110 and completed the illumination procedure. For example, according to the record in Table 2, the total score of 3000K (577) is subtracted from the total score of 4000K (226), and 351 is obtained. Then, the total score of 3000K (577) is subtracted from the total score of 5700K (-105), and 682 is obtained. Therefore, the total response value after the excitement emotion is induced and under the illumination of 3000K is 1033.

[0070] Then, if Figure 1cIn step 1520, the maximum response value is calculated after the tester has recorded the excitement emotion on the compatible image interaction platform 110 and completed the illumination procedure. For example, according to the record in Table 2, the total score of 4000K (226) is subtracted from the total score of 3000K (577), and the result is -351. Then, the total score of 4000K (266) is subtracted from the total score of 5700K (-105), and the result is 371. Therefore, the total response value after the excitement emotion is induced and under the illumination of 4000K is 20.

[0071] Then, if Figure 1c In step 1530, the maximum response value is calculated only after the tester has recorded the excitement emotion induction on the compatible image interaction platform 110 and completed the lighting procedure. For example, according to the record in Table 2, the total score of 5700K (-105) is subtracted from the total score of 3000K (577), and the result is -682. Then, the total score of 5700K (-105) is subtracted from the total score of 4000K (266), and the result is -371. Therefore, the total response value after the excitement emotion induction and under the illumination of 5700K is -1033.

[0072] According to the above calculation, after the excitement emotion is induced, the 3000K illumination can make the excitement emotion reach the maximum reaction value. That is, the 3000K illumination can make the excitement emotion have a more obvious additive effect (that is, compared with the calculated total score of 4000K and 5700K illumination, the calculated total score of 3000K illumination is 1033, which is the highest). Therefore, the 3000K illumination is used as the "effective color temperature" of the excitement emotion. The "effective color temperature" of other emotions, such as happiness, pleasure and tranquility, can be obtained through the calculation results of the above steps 1510 to 1530, as shown in Table 6 below.

[0073] Table 6

[0074]

[0075]

[0076] Next, according to the statistical results in Table 6, the effective color temperature can be regarded as the result of a specific physiological emotion-dependent response, and this effective color temperature can be regarded as the "enhanced spectrum" of the "blood oxygen concentration dependence" of fMRI on a certain emotion. For example: an effective color temperature of 3000K can represent the "enhanced spectrum" of the fMRI system in the "excited" emotion, in which the optimal stimulus color temperature should fall between 3000K and 4000K. For example: an effective color temperature of 4000K can represent the "enhanced spectrum" of the fMRI system in the "happy" emotion, in which the optimal stimulus color temperature of the happy situation is around 4000K. For example: an effective color temperature of 5700K can represent the "enhanced spectrum" of the fMRI system in the "pleasant" emotion. For example: an effective color temperature of 3000K can also represent the "enhanced spectrum" of the fMRI system in the "quiet" emotion, in which the optimal stimulus color temperature of the quiet situation is around 3000K.

[0077] Finally, as shown in step 1600, a "light recipe" database of "enhanced spectrum" corresponding to the effect of a specific emotion can be established in the fMRI system. By stimulating the test subject with the human factor lighting parameters, and observing and recording the BOLD reaction of the test subject's brain when the light is stimulated by the fMRI system, and at the same time, recording the fMRI brain image to determine which part of the human brain has an additive reaction of "increased blood oxygen concentration dependence" when the light is stimulated, the specific effective color temperature can be regarded as the "light recipe" of the "blood oxygen concentration dependence" of fMRI for a specific emotion. Obviously, the present invention objectively infers the "light recipe" of the test subject under a specific physiological emotional reaction based on the statistical results of the BOLD additive reaction to a specific emotion at a specific "effective color temperature" in Table 6, and uses this "light recipe" as the physiological emotional reaction evidence of the strongest additive effect for a specific emotion (including: excitement, happiness, pleasure, anger, disgust, fear, sadness, calmness or neutrality, etc.).

[0078] It should be emphasized that the present invention Figure 1b and Figure 1cIn the entire implementation process, 100 testers were tested for multiple specific emotions, and the statistical results in Table 6 were obtained. For example: in terms of the emotion of excitement, providing an effective color temperature of 3000K as the "enhanced spectrum" under the physiological emotional response of excitement as a "light formula" can make the tester's excitement produce the strongest multiplying effect of the physiological emotional response. For example: in terms of happy emotions, providing an effective color temperature of 4000K as the "enhanced spectrum" under the physiological emotional response of happiness as a "light formula" can make the tester's happy emotions produce the strongest multiplying effect of the physiological emotional response. Another example: in terms of pleasant emotions, providing an effective color temperature of 5700K as the "enhanced spectrum" under the physiological emotional response of pleasant emotions as a "light formula" can make the tester's pleasant emotions produce the strongest multiplying effect of the physiological emotional response.

[0079] In addition, it should be emphasized that the above three color temperatures are only used as representatives of the embodiments of the present invention, and these three color temperatures are not the only ones used as the "enhanced spectrum" for physiological emotional responses. In fact, after the 2000K color temperature, each 100K increase can be used as an interval to enhance different emotions (including: excitement, happiness, pleasure, anger, disgust, fear, sadness, calmness or neutrality, etc.). Figure 1b and Figure 1c Therefore, Table 6 of the present invention only discloses part of the results and is not intended to limit the present invention to these embodiments.

[0080] Next, the present invention is to establish an artificial intelligence model of "the correlation between brain waves and brain images of general physiological emotions" so that in future commercial promotion, other sensing device results can be directly used to infer physiological emotions without using an fMRI system. Among them, the sensing device used in the present invention includes an electroencephalogram (EEG). In the following embodiment, the electroencephalogram 130 is used to establish the physiological emotional response of people due to lighting, and the eye tracker 150 or the expression recognition technology auxiliary program 170 can be used to replace the implementation method of the fMRI system for physiological emotional response. However, the eye tracker 150 or the expression recognition technology auxiliary program 170 will not be disclosed in the present invention, but will be announced first.

[0081] Please refer to Figure 2a , is a method of establishing a classification of physiological and emotional responses of people to light-induced EEG. Figure 2aAs shown in FIG. 2 , the present invention is a method for establishing a human-induced lighting response to physiological emotions through an electroencephalogram 130, comprising: first, as shown in step 2100, the "enhanced spectrum" database information of Table 6 is also stored in the memory of the electroencephalogram 130. Next, as shown in step 2200, the test subject is allowed to wear the electroencephalogram, and each test subject is guided to undergo various emotional stimulations through elements of known pictures or films. For example, the emotional stimulation of known pictures or films can be selected using the International Affection Picture System (IAPS). Afterwards, as shown in step 2300, the intelligent human-induced lighting system 100 is started, and light signal parameters such as a changeable spectrum, light intensity, flicker rate, and color temperature are provided to stimulate the test subject with lighting. Next, the electroencephalogram 130 records the brain wave images after being illuminated with different color temperatures under specific emotions. For example, in this embodiment, each test subject is first stimulated with excitement, and then, as in steps 2310 to 2330, different color temperatures of 3000K, 4000K and 5700K are provided to illuminate the test subject, and the brain wave images of the test subject's specific emotions after the excitement stimulation and the different color temperatures are illuminated to the test subject are recorded and stored in the memory of the electroencephalogram 130. In the embodiment of the present invention, the brain wave images of 100 test subjects after the specific emotion stimulation and illumination have been recorded, so a larger memory is required.

[0082] Next, as shown in step 2400, the brain wave graphs of specific emotions (e.g., excitement, happiness, pleasure, etc.) stored in the memory of the electroencephalogram 130 are learned through the learning method of artificial intelligence. Since the electroencephalogram 130 can only remember the waveform of the brain wave, the brain wave graphs currently stored in the memory of the electroencephalogram 130 are brain wave graphs of known specific triggering emotional stimuli and different color temperature illumination. It should be noted that in actual tests, the brain wave graphs of different testers for the same emotional stimulus and the same color temperature illumination are different. Therefore, in the learning process of step 2400, the present invention needs to classify the brain wave files of specific emotions through the information of the "light recipe" database of the "enhanced spectrum", for example: for the brain wave files of excitement, only the brain wave files of different testers at a color temperature of 3000K are grouped, and for example: for the brain wave files of happiness, only the brain wave files of different testers at a color temperature of 4000K are grouped, and for example: for the brain wave files of pleasure, only the brain wave files of different testers at a color temperature of 5700K are grouped. Afterwards, the electroencephalogram is trained through machine learning in artificial intelligence. In the embodiment of the present invention, a transfer learning model is particularly selected for learning and training.

[0083] In the process of learning and training using the transfer learning model in step 2400, the learning and training is carried out by counting, calculating and comparing the similarity of the brain wave image file group of a specific emotion. For example, when learning and training the brain wave image file group of 3000K color temperature, the ranking of the highest similarity and the lowest similarity in the brain wave image file of 3000K color temperature is statistically calculated and compared. For example, the ranking with the highest similarity can be regarded as the brain wave image file of the strongest emotion, and the ranking with the lowest similarity can be regarded as the brain wave image file of the weakest emotion. The brain wave image file of the strongest emotion ranking can be used as the "target value", and the brain wave image file of the weakest emotion ranking can be used as the "starting value". For the convenience of explanation, at least one of the most similar brain wave image files is used as the "target value", and at least one of the least similar brain wave image files is used as the "starting value", and different scores are given, for example, the "target value" is given a similarity of 90 points, and the "starting value" is given a similarity of 30 points. Similarly, the brain wave graphs of the happy emotion in the 4000K color temperature category and the brain wave graphs of the surprised emotion in the 5700K color temperature category are completed in sequence. Among them, the "starting value" and the "target value" can form a similarity score range.

[0084] Afterwards, as shown in step 2500, an artificial intelligence EEG classification and grading database (which may be referred to as an artificial intelligence EEG file database) is established. After step 2400, the EEG file groups of various specific color temperatures are given a grading result of "target value" scores and "starting value" scores to form a database, which is stored in the memory of the electroencephalograph (EEG) 130. The purpose of the present invention in establishing an EEG classification and grading database in step 2500 is to obtain an EEG file of an unknown tester after the unknown tester receives specific emotional stimulation and is illuminated with a specific color temperature, and then compare the EEG file of the unknown tester with the EEG file similarity score interval in the database, so as to judge or infer the current congestion reaction condition in the brain of the unknown tester. The detailed process is as follows. Figure 2b shown.

[0085] Next, please refer to Figure 2b , is a lighting database for constructing effective human-factor lighting for users in the present invention. First, as shown in step 3100, the tester is asked to wear an electroencephalogram (EEG) 130 and watch pictures that induce specific emotions. Then, as shown in step 3200, the human-factor lighting system 100 is activated to irradiate the tester with a "light recipe" in an environment (e.g., a test space) that has been configured with various adjustable multi-spectrum light modules, through the management control module 611 (e.g., Figure 3Then, as shown in step 3300, the brain wave image of the tester after the emotion induction and light exposure is obtained and recorded, and stored in the memory module 617 of the cloud 610 (as shown in step 3300). Figure 3 Then, as shown in step 3400, the artificial intelligence electroencephalogram file database is imported into the management and control module 611. Among them, the management and control module 611 will set a score to determine whether the similarity is sufficient. For example, when the similarity score is set to be above 75 points, it means that the congestion reaction in the brain of the tester is sufficient. Then, as shown in step 3500, in the management and control module 611, the electroencephalogram file of the tester and the artificial intelligence electroencephalogram file are compared for similarity. For example, when the similarity score after the comparison of the electroencephalogram file of the tester is 90 points, the management and control module 611 immediately determines that the congestion reaction in the brain of the tester is sufficient, so step 3600 is performed to terminate the human factor lighting test of a specific emotion. Then, step 3700 is performed to record the human factor lighting parameters when the congestion reaction in the brain of the tester has reached the stimulation into a database and store it in the memory module 617.

[0086] Then, in Figure 2b In the step 3500 procedure, if the similarity score after comparing the tester's brain wave map file with the artificial intelligence brain wave map file is 35 points, the management control module 611 will determine that the tester's brain congestion reaction is insufficient, so it will proceed to step 3800, and the management control module 611 will continue to strengthen the test of human-caused lighting, including: the management control module 611 can control according to the similarity score to provide appropriate increase in lighting time or increase in lighting intensity. After that, the brain wave map file after increasing the lighting time or increasing the lighting intensity is obtained again through step 3300, and the human-caused lighting test is stopped only when the similarity score reaches the set similarity score of 75 points or more through step 3400. Among them, when the management control module 611 determines that the tester's brain congestion reaction has reached the stimulation, it will establish the tester's human-caused lighting parameter data file in step 3700. Finally, the management control module 611 forms a "human factor lighting parameter database" with the human factor lighting parameters of each tester and stores it in the memory module 617. Obviously, when there are more testers, the artificial intelligence brain wave map file database of the present invention will learn more brain wave map files, making the similarity score of the present invention more and more accurate.

[0087] After the artificial intelligence model of the "human factor lighting parameter database" is established, after the human factor lighting system 100 is started, the present invention can infer the physiological and emotional changes of the brain images of the new tester only by observing the brain wave image interpretation results of the electroencephalogram 130. Therefore, it is not necessary to use the expensive fMRI system, and the physiological and emotional changes of the brain images can be inferred based on the artificial intelligence model of the "human factor lighting parameter database". The human factor lighting system 100 can be promoted and used commercially. In addition, in order to enable the "human factor lighting parameter database" to be used commercially, the "human factor lighting parameter database" can be further stored in the internal private cloud 6151 in the cloud 610.

[0088] Next, please refer to Figure 3 , is a system architecture diagram of the intelligent human factor lighting system 600 of the present invention. Figure 3As shown, the overall architecture of the intelligent human factor lighting system 600 of the present invention can be divided into three blocks, including: cloud 610, lighting field 620 and client 630. The three blocks are connected through the Internet. Therefore, the three blocks can be distributed in different areas, and of course, they can also be configured together. Among them, the cloud 610 further includes: management control module 611, which is used for cloud computing, cloud environment construction, cloud management or use of cloud computing resources, etc., and also allows users to access, construct or modify the content in each module through the management control module 611. Consumption module 613, connected to the management control module 611, is used as a cloud service for user subscription and consumption. Therefore, the consumption module 613 can access each module in the cloud 610. Cloud environment module 615, connected to the management control module 611 and the consumption module 613, is to divide the environment of the cloud background into internal private cloud 6151, external private cloud 6153 and public cloud 6155 (for example, commercial cloud), etc., and can provide an interface for external or internal services of system providers or users. The memory module 617 is connected to the management control module 611 and is used as a storage area of ​​the cloud backend. The technical content that each module needs to execute in the present invention will be specifically described in different subsequent embodiments. The lighting field 620 can communicate with the cloud 610 or the client 630 through the Internet. Among them, a lamp group 621 composed of multiple light-emitting devices is configured in the lighting field 620. And the client 630 can communicate with the cloud 610 or the lighting field 620 through the Internet. Among them, the client 630 of the present invention includes general users and editors who use the intelligent human-caused lighting system 600 of the present invention for various business operations, all of which belong to the client 630 of the present invention, and the representative device or device of the client 630 can be a fixed device with computing function or a portable intelligent communication device. In the following description, users, creators, editors or portable communication devices can represent the client 630. In addition, in the present invention, the above-mentioned Internet can be an intelligent Internet of Things (AIoT).

[0089] Please refer to Figure 4 , is a method 400 of constructing a lighting environment sharing platform of the present invention. Figure 4 In the process of Figure 3The intelligent human-caused lighting system 600 is carried out in the system, wherein the intelligent human-caused lighting system 600 has a plurality of light-emitting devices 621 providing different spectra, which may be a LED lamp group. The present invention particularly needs to explain that the LED lamp group may select to combine a light formula of a specific color temperature by modulating the voltage or current of individual LED lamps to provide a light formula for lighting. Of course, the present invention may also select to use a plurality of LED lamps with specific light emission spectra, and provide a fixed voltage or current to allow each energized LED lamp to emit its specific spectrum, so as to combine a light formula of a specific color temperature for lighting. In addition, it should be emphasized that the actual lighting process of the light-emitting devices 621 of different spectra described in the present invention is to emit different spectra through a plurality of LED lamp groups. Therefore, the light emission of different spectra may be composed of light-emitting devices 621 of different spectra, or may be composed of a plurality of identical light-emitting devices 621, and the emitted spectra may be modulated into different spectra by the power provided by the control device. Therefore, the present invention is not limited to the implementation of the above light-emitting device 621 with different spectra, and of course also includes light-emitting devices with different spectra formed by other methods.

[0090] First, as shown in step 410, a multi-spectral lighting device cloud database is constructed. The management control module 611 in the cloud 610 loads the "human factor lighting parameter database" stored in the memory module 617 or in the internal private cloud 6151 into the management control module 611. Among them, the "human factor lighting parameter database" stored in the cloud 610 already knows that various color temperatures can give people (or users) corresponding emotional stimulation. For example, as shown in Table 6, a specific color temperature can give a specific emotion a multiplier reaction stimulation effect.

[0091] Next, as shown in step 420, a cloud database of light scenes of a multi-spectral lighting device is constructed. Since each color temperature can be combined through a variety of different spectra, that is to say, the same color temperature can be obtained by different light formulas. For example: when we want to establish a spectrum that can provide a 4000K color temperature, we can choose a light formula of the Maldives at a 4000K color temperature, or we can choose a light formula of Bali, Indonesia at a 4000K color temperature, or further choose a light formula of Monaco Beach at a 4000K color temperature. Obviously, these light formulas with a 4000K color temperature have different light formulas based on their geographical location (including: longitude and latitude), time / brightness / flicker rate and other factors. Therefore, in step 420, different light formulas at various specific color temperatures at different geographical locations on the earth can be collected through the cloud 610 according to the relationship between color temperature and corresponding emotions in the "human factor lighting parameter database", for example, different light formulas at 4000K color temperature at different geographical locations on the earth are collected (for example, 4000K color temperature at different longitudes and latitudes), or different light formulas at 4000K color temperature at different times on the earth are collected (for example, 4000K color temperature at 9 am). Afterwards, the different light formulas at various specific color temperatures collected at different geographical locations on the earth are also stored in the memory module 617. Under the control of the management control module 611 in the intelligent human factor lighting system 600, various light formula parameters with specific color temperatures (that is, different geographical locations or different times at different geographical locations) can be adjusted by controlling multiple light emitting devices 621 with different spectra. Finally, after storing various light recipe parameters with specific color temperatures in the memory module 617, the intelligent human factor lighting system 600 of the present invention can construct a "multi-spectrum light emitting device cloud database" with various color temperatures formed at different geographical locations. Obviously, the "multi-spectrum light emitting device cloud database" constructed in step 420 is a preset "light recipe" adjusted by a plurality of light emitting devices 621 with different spectra. For example, each multi-spectrum is adjusted by the light emitting device 621 by adjusting or controlling the color rendering index (Ra), flicker, illuminance and color temperature. In addition, it should be emphasized that after mastering different specific color temperatures that can make specific emotions have a stimulating effect of multiplying reactions, when forming various preset "light recipes", the present invention can also synthesize or combine preset "light recipes" different from the actual geographical location by artificial intelligence after considering different latitude and longitude / time / brightness / flicker rate and other factors. The present invention does not limit this. Obviously, in step 420, the present invention has constructed a database with multiple preset "light recipes". Therefore, according to the constructed preset “light recipe” database, the intelligent human factor lighting system 600 can provide various preset “light recipe” lighting services through the light emitting device 621 .At this point, the various “light recipe cloud databases” constructed in step 420 may be stored in the memory module 617 or the internal private cloud 6151 or the public cloud 6155 (eg, a commercial cloud).

[0092] As shown in step 430, it is necessary to determine whether the irradiation of the preset "light formula" is effective. Since different users may have different effects on emotional stimulation or influence after being irradiated with the spectrum of human-caused lighting, it is necessary to further adjust the irradiation spectrum of the preset "light formula". When the user 630 enters the intelligent human-caused lighting system 600 of the present invention, the management control module 611 can select the preset "light formula" to achieve the emotion from the "multi-spectrum light-emitting device cloud database" in the memory module 617 or the internal private cloud 6151 or the public cloud 6155. After that, the management control module 611 can select a preset "light formula" from the "multi-spectrum light-emitting device cloud database" in the memory module 617 or the internal private cloud 6151 or the public cloud 6155, and control the light-emitting device 621 configured at the user 630 end to irradiate the preset "light formula" of the desired emotion, and perform the lighting program for the user. For example, when the user wants to adjust his mood to happiness or pleasure, he can choose to use the preset "light recipe" with a color temperature of 4000K according to the "Human Factor Lighting Parameter Database". At this time, the user can go to the preset "light recipe" provided by the "Multi-spectral Lighting Device Cloud Database" or the user can choose a preset "light recipe" that can provide a 4000K color temperature. Of course, you can also choose a specific preset "light recipe" that is used by most people for irradiation.

[0093] Next, as shown in step 430, when the user selects a "light recipe" preset for a happy or pleasant emotion (for example, the system presets the light recipe of Maldives at a color temperature of 4000K), and after the lighting process is performed using the light recipe adjusted by the plurality of light emitting devices 621, for example, after 15 minutes of the lighting process, the user can judge or evaluate whether the irradiation of the light recipe has effectively achieved a happy or pleasant emotion. The way in which the user judges or evaluates whether a happy or pleasant emotion has been effectively achieved can be completely determined based on the user's own feelings.

[0094] As shown in step 430, when the user intuitively feels that he has effectively achieved a happy or pleasant mood, he can record and store this use experience in the external private cloud 6153 or the public cloud 6155. For example, after the use experience is recorded and stored in the external private cloud 6153, it can be used as the user's own use experience file. For example, of course, this use experience can also be recorded and stored in the public cloud 6155 for reference by other users. If the user feels that he has not achieved a happy or pleasant mood after 15 minutes of lighting, the user can adjust the light formula lighting through the management control module 611, for example, adjust the lighting time to 30 minutes, or change the light scene of the light formula, for example, return to step 420 to reselect another light formula light scene, and change the light formula light scene from the preset Maldives to Bali, Indonesia. Afterwards, in step 430, the 15-minute multi-spectral lighting program is repeated, and after the lighting program is completed, it is once again determined or evaluated whether the Bali light formula lighting has effectively achieved a happy or pleasant mood. Until the user feels that the multi-spectral illumination of the current light scene has effectively achieved a happy or pleasant mood, the effective light scene usage experience can be recorded and stored to form a "light recipe", and finally, the "light recipe" is stored in the external private cloud 6153 or the public cloud 6155 to form a sharing platform. Obviously, there are multiple "light recipes" stored in the sharing platform, and the content stored in the sharing platform includes: the light recipe lighting control parameters (hereinafter referred to as lighting parameters) for the user to achieve a specific emotional effect.

[0095] Finally, as shown in step 470, a light environment sharing platform is constructed. When the user records and stores the effective experience in the external private cloud 6153 or the public cloud 6155, in addition to being used as the user's own experience file, the intelligent human factor lighting system 600 can perform a massive data analysis on the effective experience data of many users in step 470, and then record and store it in the internal private cloud 6151 or the public cloud 6155, so that the information stored in the public cloud 6155 forms a "sharing platform" for the light environment. For example: after the intelligent human factor lighting system 600 performs a massive data analysis on the experience data of many users, it can obtain the ranking of the "light recipes" of different light scenes with specific color temperatures selected by the user, and this ranking can provide a reference for the user when selecting the "light recipe". Furthermore, after analyzing these massive data, different pointers can be obtained to provide users with reference. For example, for different light formulas with a color temperature of 4000K, different usage rankings can be made according to the user's gender, age, race, season, time, etc., so that the light environment sharing platform constructed by the present invention can be used as a designer of other light formulas that are interested or willing to provide human-factor lighting, and these indicators can be used to perform commercial services and operations. Therefore, the light environment sharing platform constructed by the present invention can allow the intelligent human-factor lighting system 600 to provide various usage experiences after curation or algorithm calculation as preset light formulas. In addition, users can also choose a "light formula" that is most selected by the most people for lighting according to the calculated usage experience data.

[0096] exist Figure 4 In the embodiment, step 450 is optional. For example, if the user only wants to build a database for his own use, step 450 can be skipped. After judging the validity in step 430, the user experience can be directly stored in the "light recipe sharing platform" in step 470. For example, the valid user experience is recorded and stored in the external private cloud 6153 or the public cloud 6155. The database of the "light recipe" construction service to be constructed in step 450 will be described in the following embodiments.

[0097] Then, in Figure 4There is another embodiment that can provide a creation platform for commercial services and operations. This creation platform allows different users or creators to create new "light recipes". As shown in step 460, a "light recipe" creation platform is provided in the intelligent human-caused lighting system 600. The creators 630 using this "light recipe" creation platform can be distributed all over the world and can be connected to the "light recipe sharing platform" in the cloud 610 of the present invention through the Internet. Obviously, the present invention defines the "light recipe" creation platform here, that is, the "light recipe" creation platform refers to the user or creator 630 who can connect to the public cloud 6155 or the "light recipe sharing platform" in the cloud 610 through the Internet, so that the user or creator 630 can use the "light recipe" information on the public cloud 6155 or the "light recipe sharing platform" to perform editing work. Therefore, when the user or creator 630 obtains various calculated usage experience data from the "sharing platform", the user or creator 630 can edit or create the creator 630 personally according to the user's gender, age, race, season, time and other experience data to construct an edited multi-scene or multi-emotion "light recipe".

[0098] First, the present invention uses the "light formula" creation platform to carry out commercial services and operations in the first embodiment. For example, for the emotional stimulation result of 4000K color temperature, the user or creator 630 can use the "light formula" creation platform to make spectrum combinations of different light scenes. For example, the first segment of the creator 630 is to choose the light formula of Maldives, the second segment is to choose the light formula of Bali, and finally, the third segment ends with the light formula on the beach of Monaco. In this way, after each segment is matched or configured with the spectrum exposure time, a new spectrum combination of multiple light scenes can be formed. Finally, the spectrum combination of this multiple light scene is stored in the "sharing platform", which can provide other users with the spectrum combination of this multiple light scene as their "light formula" for emotional adjustment. Among them, the creation platform of the present invention can also select a specific color temperature at a specific time. For example, when a user wants to perform emotional stimulation human factor lighting at 9 am, in order to match the rhythmic factors of the human body, the aforementioned three segments of light formulas at 9 am can be further selected. Furthermore, the multi-spectral exposure time of each segment can be configured to be the same or different, for example, each segment is exposed for 15 minutes. Alternatively, the first and third segments may be configured for 15 minutes, while the second segment may be configured for 30 minutes. These same or different time configurations may be selected by the user.

[0099] Secondly, in the second embodiment of the present invention using the "light recipe" creation platform, different color temperatures (that is, multiple emotions) can be combined to achieve the effect of transfer through the lighting of multiple emotions. For example, the creator 630 can combine multiple emotions through the "light recipe" creation platform. For example, the creator 630 wants to edit an emotion transfer from nervous emotion to pleasant emotion. The first section can be a light recipe of 4000K (happy emotion), the second section is a light recipe of 3000K (excited emotion), and finally, the third section ends with a light recipe of 5700K (pleasant emotion). In this way, after each section is matched or configured with a multi-spectrum irradiation time, a light recipe combination for emotion transfer can be formed. Finally, this light recipe combination for emotion transfer is stored in the "sharing platform", which can provide users with the option of selecting this light recipe combination for emotion transfer as their "light recipe" for emotion transfer or adjustment. Similarly, the creative platform in this embodiment can also select a specific color temperature at a specific time. For example, when a user wants to perform emotional stimulation lighting at 9 a.m., in order to match the human body's rhythmic factors, the user can further select the aforementioned three sections of light formula combination at 9 a.m. Furthermore, the multi-spectrum irradiation time of each section can be configured to be the same or different, for example, each section is irradiated for 15 minutes. It is also possible that the first and third sections are configured for 15 minutes, and the second section is configured for 30 minutes. These same or different time configurations can be selected by the user.

[0100] Next, it is further explained that after the above-mentioned first embodiment (light formula for multiple light scenes and the second embodiment (light formula combination for multiple emotions) are edited or created, the process from step 430 to step 470 is also required. For example: the creator 630 will edit the light formula combination for multiple emotions, and must first go through step 420 to illuminate the user with the light formula combination for multiple emotions through multiple light-emitting devices 621. Then, through step 430, it is determined whether the combination of the above-mentioned "light formulas" achieves the effect that the creator wants to achieve, including: the spectral combination of the multiple light scenes of the first embodiment and the corresponding configured exposure time, and the multi-emotion light formula combination and the configured exposure time of the second embodiment. If the effect set by the creator can be achieved, the lighting control parameters of the light-emitting device 621 required to establish these "light formulas" can be established in the database of the service, as shown in step 450. As shown in step 470, the lighting control parameters include: color rendering index (Ra), strobe, illuminance and color temperature. After that, as shown in step 470, after uploading the lighting control parameter database of the "light recipe" constructed in step 450 to the cloud, these "light recipes" can be added to the public cloud 6155 of the present invention to form a "light recipe sharing platform". If, after step 430, it is determined that a certain "light recipe" does not achieve the effect set by the creator, it is possible to return to step 420 to adjust the exposure time of each section, or change different light scene combinations (first embodiment) or change different mood combinations (second embodiment), until these "light recipes" can achieve the effect set by the creator, these "light recipes" that have been judged to be effective can be added to the public cloud 6155 of the present invention through the process of steps 430 to 470 to form a "light recipe sharing platform".

[0101] In addition, in order to make the multi-scene combination or multi-emotion combination of the "light recipe" creation platform effective, it may be necessary to configure a specific light-emitting device 621 in the field and to be evaluated by a professional designer to achieve the best effect. Therefore, the present invention is further configured with a database of hardware services, as shown in step 4510, and is further configured with a database of software services, as shown in step 4520. Among them, some management information for building a "light recipe" is also embedded in the database of hardware services and the database of software services, including: the installation or delivery of hardware devices, or including: providing software services such as space design, scene planning or interface settings required to build these "light recipes" through the database of software services. In addition, the database of hardware services and the database of software services can be configured on the creator's 630 side, or in the cloud 610, and the present invention does not limit this. Obviously, the present invention is Figure 4In the embodiment, the process of building various "light recipes" and the database of "light recipe" building services have been provided, and the database of hardware services and software services required for "light recipe" building have been established on the "light recipe sharing platform". It should be particularly noted that the "light recipe sharing platform" finally established in step 470 is a "light recipe" that can provide effective spectrum combinations of multiple light scenes and spectrum combinations of multiple mood light scenes. After that, various commercial services and operations can be provided through this "sharing platform".

[0102] Next, please refer to Figure 3 and Figure 5a As shown, Figure 5a It is an automatically adjustable intelligent human-factor lighting method 500 of the present invention. First, as shown in step 510, a multi-spectral light-emitting device cloud database is constructed. The management control module 611 in the cloud 610 loads the "human-factor lighting parameter database" stored in the memory module 617 or stored in the internal private cloud 6151 into the management control module 611. Among them, the "human-factor lighting parameter database" stored in the cloud 610 already knows that various color temperatures can make people (or users) get corresponding emotional stimulation. The management control module 611 loads the "human-factor lighting parameter database" stored in the memory module 617 into the management control module 611. Among them, the "human-factor lighting parameter database" stored in the memory module 617 already knows that various color temperatures can make people (or users) get corresponding emotional stimulation. For example: As shown in Table 6, a specific color temperature can make a specific emotion have a stimulating effect of a multiplier reaction.

[0103] Next, as shown in step 530, a cloud-based data database of light formulas for human-centered lighting is constructed. In step 530, the "light formula" stored in the "sharing platform" established in step 470 can be downloaded by the management control module 611 as a source for the invention to construct a multi-light formula cloud-based data database with human-centered lighting. Therefore, the process of forming the "light formula" established in step 470 will not be described in detail. Please refer to Figure 4 Detailed description of steps 410 to 470 in FIG.

[0104] Next, as shown in step 520, a "situational dynamic spectrum editing platform" is provided. Similarly, the present invention defines the "situational dynamic spectrum editing platform" as being similar to the aforementioned "light recipe creation platform", and the "situational dynamic spectrum editing platform" of the present invention means that the user or creator 630 can connect to the public cloud 6155 or the "light recipe sharing platform" in the cloud 610 through the Internet, so that the user or creator 630 can use the "light recipe" information on the public cloud 6155 or the "light recipe sharing platform" to perform situational editing work. After the "situational dynamic spectrum editing platform" obtains multiple "light recipe" data from the "light recipe sharing platform", the "situational dynamic spectrum editing platform" can edit or create the "light recipe" in a situational manner through the software application to construct an edited "situational dynamic spectrum program" that achieves (or satisfies) specific emotional effects. This "situational dynamic spectrum program" can also be uploaded to the external private cloud 6153 and public cloud 6155 in the cloud 610 to form a database of "situational dynamic spectrum programs" that achieve (or satisfy) specific emotional effects.

[0105] Next, the editing process of the "situational dynamic spectrum program" in step 520 is described in detail. Figure 5b, is the editing process of the contextual dynamic spectrum editing platform of the present invention. As shown in step 5210, the editor 630 downloads the "light recipe" stored in the "sharing platform" established in step 470 to the editing device used by the editor 630 through the Internet to the management control module 611 in the cloud 610, for example: the editing device can be a computer or a smart phone or a workstation. In particular, one or more "light recipes" are connected to the software as a service (SaaS) or platform as a service (PaaS) system configured in the cloud 610 through the editing device of the editor 630. Afterwards, as shown in step 5220, the downloaded "light recipe" is set with lighting parameters of a specific color temperature (i.e., a specific emotion) through the SaaS or PaaS system configured in the cloud, wherein the setting items of the lighting parameters include: the generation time of the spectrum, the longitude and latitude of the spectrum, the brightness of the spectrum, the contrast of the spectrum, the flicker rate of the spectrum, and the control of the color rendering index (Ra) and other lighting parameters of the "light recipe", which are adjusted and set. The above-mentioned adjustment method is the same as the aforementioned method of the present invention, including: changing the order of light scenes in the "light recipe", or changing the light scenes in the "light recipe", or deleting a specific light scene in the "light recipe", or adding a new light scene to the "light recipe", etc. Since these adjustment methods have been explained, they will not be repeated here. For example, when a user downloads a spectrum combination of multiple light scenes as a "light recipe" for achieving a happy (4000K) mood adjustment, the multi-spectral brightness and multi-spectral contrast in the light recipe for the Maldives can be fine-tuned through the SaaS or PaaS system, and the spectral flicker rate in the second light recipe for Bali can be adjusted at the same time, or the lighting sequence or lighting time of the three light recipes can be adjusted. Or the light recipe provided by considering the longitude and latitude of the spectrum or the time of day, for example, adding a light recipe for Cannes, France at a color temperature of 4000K through the SaaS or PaaS system, or deleting the light recipe on the beach in Monaco and replacing it with the light recipe for Miami Beach, USA at a color temperature of 4000K. For example, when the user or editor 630 downloads a "light recipe" of a spectrum combination of multiple light scenes, other light scene combinations are performed through the SaaS or PaaS system. The above adjustment and change process can also be performed in the "human factor lighting parameter database" stored in the memory module 617 in step 510 to perform other emotion (color temperature) combinations. For example, in the aforementioned "light recipe" of multiple light scenes of happiness, excitement and pleasure, the fourth segment of the color temperature of the serene emotion is added as the end stage of lighting.

[0106] Next, as shown in step 5230, the association between the situational function and the "light recipe" is edited. In step 5230, the "light recipe" adjusted or set in step 5220 is edited in association with the specific situational function that the user or editor 630 wants to achieve, wherein the association is to divide the specific situational function to be achieved into multiple blocks, and each of these blocks corresponds to a light scene in the "light recipe". For example, a user downloads a "light recipe" of a happy, exciting and pleasant multi-light scene in step 5210, and when the user or editor 630 ultimately wants to achieve a good situational effect in the conference room (wherein the so-called good conference situational effect, for example, the editor 630 chooses that during the meeting, he hopes that all participants can remain relaxed at the opening, focused during the discussion, and happy at the conclusion), therefore, the original "light recipe" can be adjusted to a "light recipe" of multiple light scenes such as relaxation, focus and pleasure through step 5220, and in step 5230, the user or editor 630 divides the conference process into three situational blocks of opening, discussion and conclusion, and then, the three situational blocks of opening, discussion and conclusion correspond to the "light recipes" of multiple light scenes of relaxation, focus and pleasure, respectively, so that the situation of the entire meeting process is associated with the "light recipe" of multiple light scenes in the conference room. Next, as shown in step 5240, after the user or editor 630 has completed the association between the context of the meeting process and the "light recipe" of the multi-light scene, and then added "time setting" to the context block, a "context-based dynamic spectrum program" with a meeting context function can be completed. For example, the playback time of the opening, discussion and conclusion blocks of the meeting is set to 5 minutes, 15 minutes and 10 minutes, such as Figure 5c As shown, the "situational dynamic spectrum program" with conference situation function can be completed. Finally, as shown in step 5250, the "situational dynamic spectrum program" with situational function is uploaded to the cloud database. Obviously, after Figure 5bThe "situational dynamic spectrum program" obtained by the editing process can be stored in the memory module 617 or the external private cloud 6153 or the public cloud 6155 through step 530. Afterwards, these "situational dynamic spectrum programs" stored in the external private cloud 6153 can become a "situational dynamic spectrum program" with intelligent human-factor lighting that can be automatically adjusted and provided for their own use. For example: when the user or editor 630 chooses to use a meeting "situational dynamic spectrum program", the spectrum in the conference room can be automatically adjusted during the meeting. Of course, the meeting "situational dynamic spectrum program" edited by the editor 630 can also be stored in the public cloud 6155, so it can achieve a commercial behavior that is open to other users through the cloud 610. Obviously, at this time in step 530, in addition to the various "light recipes" downloaded from step 470, the "situational dynamic spectrum program" is also included. Therefore, the cloud database established in step 530 can provide users with human-factor lighting. In addition, it should be emphasized that, in the present embodiment, the editing of the "situational dynamic spectrum program" of multi-light scenes includes a multi-light scene combination of a single emotion and a multi-light scene combination of multiple emotions. Of course, specific emotions included in the multi-light scene combination of multiple emotions can also be combined using multi-light scenes, and the present invention is not limited to this.

[0107] In addition, in the above Figure 5b In the editing process, another implementation method can also be selected, that is, the editor 630 downloads the "light recipe" stored in the "sharing platform" established in step 470 to the editing device used by the editor 630 through the Internet to the management control module 611 in the cloud 610. Then, the user or editor 630 can choose to edit the specific situation function to be achieved through the SaaS or PaaS system (that is, first divide the specific situation function into multiple blocks), and then associate the specific situation to be achieved with the downloaded "human factor lighting parameter database" to complete the association editing between multiple situation blocks and corresponding emotions (color temperature) to form a multi-emotion multi-light scene combination. For example: the editor has first divided the meeting process into three blocks: opening, discussion and conclusion. Then, the "light recipe" corresponding to the multi-light scene formed by the corresponding emotions such as relaxation, concentration and pleasure is selected from the "human factor lighting parameter database" stored in the memory module 617, or the "light recipe" corresponding to the multi-light scene of pleasure, concentration and relaxation is selected. Since the method of editing itinerary association is the same, it will not be repeated in this embodiment.

[0108] Next, the present invention provides another preferred embodiment of an intelligent human-factor lighting method that can be automatically controlled. Since the "situational dynamic spectrum program" constructed in step 530 is the result of editing by individual editors 630, in order to achieve better results, it is necessary to consider the light stimulation effect of the "light formula" for different users, and / or it is necessary to consider whether the lighting hardware configuration of different fields has the light stimulation effect of the "light formula", which all need to be adjusted.

[0109] Next, as shown in step 550 and step 570, the user or editor needs to further adjust the lighting parameters in the specific environment where the "situational dynamic spectrum program" is executed in order to achieve specific emotional needs or emotional transfer needs. First, as shown in step 550, the user or editor 630 has downloaded a "situational dynamic spectrum program" from the external private cloud 6153 or the public cloud 6155. For example, a "situational dynamic spectrum program" has been downloaded from step 530, wherein the "situational dynamic spectrum program" can be a "light formula" for multiple emotions and multiple light scenes, or a "light formula" for multiple light scenes of a single emotion. Next, in step 550, the user or editor 630 needs to set in which "specific environment" the selected "situational dynamic spectrum program" is to be executed. In the embodiment of the present invention, the "specific environment" is divided into three types, as shown in step 570, including: a closed lighting system, an intelligent lighting field, and a portable human factor lighting device. Among them, when the "specific environment" is a closed lighting system, for example: the closed lighting system is a closed control room with multiple light-emitting devices 621 (i.e., a closed cavity that can isolate external light), which can provide one or more users in the closed cavity to receive the selected "situational dynamic spectrum program" for "light recipe" irradiation, as shown in step 571. During the spectrum irradiation process, the present invention provides a function with control mode setting, as shown in step 540, the "light recipe" can be adjusted through the App on the mobile device used by the user or editor 630 or the control module in the closed cavity (such as the monitoring panel 670), for example: under the influence of an ambient light environment, the lighting parameters of the "light recipe" of the selected "situational dynamic spectrum program" can be adjusted, and the adjustment methods include: time / latitude and longitude / brightness / flicker rate. In addition, when the "specific environment" is a smart lighting field, the smart lighting field is a field with multiple light-emitting devices 621 that can accommodate multiple people, such as a conference room, a classroom, an office, a social place, or a factory, so that multiple users can receive the "situational dynamic spectrum program" in the smart lighting field to perform "light recipe" illumination, as shown in step 573. Obviously, during the illumination process in step 570, the controller, user, or editor 630 of the field can adjust the lighting parameters of the "light recipe" of the selected "situational dynamic spectrum program" through the application (App) on the mobile device used or the control panel 670 in the field, for example: under the influence of an ambient light environment, or under the influence of the number of people in the field, the lighting parameters of the "light recipe" are adjusted, and the adjustment methods include: time / latitude and longitude / brightness / flickering rate, etc., as shown in step 540.Furthermore, when the "specific environment" is a portable lighting device, wherein the portable human factor lighting device is a virtual device related to the metaverse, such as a virtual reality (VR), mixed reality (MX) or extended reality (XR) device, the user can receive the selected "situational dynamic spectrum program" through the virtual device to perform "light recipe" irradiation, as shown in step 575. During the light recipe irradiation process, the user or editor 630 can adjust the lighting parameters of the "light recipe" through the App on the mobile device or the control module in the virtual device. For example, under the influence of an ambient light environment, the lighting parameters of the "light recipe" of the selected "situational dynamic spectrum program" can be adjusted, and the adjustment methods include: time / latitude and longitude / brightness / flicker rate, etc., as shown in step 540.

[0110] In the operation process of the above-mentioned steps 540, 550 and 570, it is obvious that the preset value of the "light recipe" is adjusted for the "specific environment" where the user is located. In the process of performing this preset value adjustment, the ambient light sensor (Ambient Light Sensor) 650 (such as Figure 3 or Figure 6 ), the ambient light information is transmitted to the application (App) on the mobile device of the user or editor 630 or the control module in the "specific environment" through the wireless communication device, as a reference for adjusting the preset value of the "light recipe". In addition, the presence sensor 660 (such as Figure 3 or Figure 6As shown in FIG. 6 , the number of people in the environment is transmitted to the application (App) on the mobile device of the user or editor 630 or the control module in the "specific environment" through a wireless communication device as a reference for adjusting the preset value of the lighting parameter of the "light recipe", wherein the occupancy sensor 660 can be a vibration sensor, which determines the number of people by the frequency of vibration, and the occupancy sensor 660 can also be a temperature sensor, which determines the number of people by the temperature of the environment. In addition, the occupancy sensor 660 can also be a camera system, which determines the number of people by face recognition of artificial intelligence (AI). In addition, the occupancy sensor 660 can also be a gas concentration detector, which is used to detect the concentration change of oxygen (O2) or carbon dioxide (CO2) to determine the spectral irradiation effect of the user. For example, when the temperature in the environment increases and the concentration of carbon dioxide (CO2) also increases, it is determined that the spectral irradiation achieves the required emotional effect. Obviously, through the operation process of steps 540, 550 and 570, a "situational dynamic spectrum program" of intelligent human-induced lighting with automatically adjustable lighting parameters can be formed. It is particularly important to note that in order to ensure that the user can achieve the effect of changing or transferring emotions during the process of intelligent human-induced lighting, the lighting parameters of the light-emitting device 621 that performs lighting in different specific environments or fields must be monitored and adjusted in real time to achieve specific effects.

[0111] The present invention then provides another preferred embodiment of an intelligent human-factor lighting method that can be automatically controlled. It is to further provide some sensing devices to feedback to the user whether the desired emotional effect is achieved after the "light recipe" of the above-mentioned "situational dynamic spectrum program" is irradiated. These sensing devices include: contact physiological sensors (such as step 561) or non-contact optical sensors (such as step 563). Among them, the contact physiological sensor is configured on each user to measure the user's heart rate, blood pressure, pulse, blood oxygen concentration or electrocardiogram, etc., to determine whether the user has achieved the desired emotion. The non-contact optical sensor can be configured in the lighting environment where the user is located to measure the illumination, color temperature, spectrum, color rendering, etc. in the "specific environment" to determine whether the user has achieved the desired emotion.

[0112] As shown in step 580, it is determined whether the user's emotional needs have been met after the lighting. When the user has performed the "light recipe" lighting of the specific "situational dynamic spectrum program" in the "specific environment", an algorithm will be used to determine whether the current spectrum lighting process has met the user's emotional needs. Among them, the algorithm in step 580 can be a signal between the user's physiological signals (including: heartbeat, blood pressure, pulse and breathing rate) After the algorithm is used to obtain a ratio, this ratio value is used as a judgment on whether the specific emotional needs are met. Therefore, after the calculation and processing of the management control module 611, a database of physiological signal ratios relative to various emotions is established and stored in the memory module 617 in the cloud 610 or the internal private cloud 6151. For example, after the user is illuminated by the "situational dynamic spectrum program" of happy emotions for a period of time, the contact physiological sensor of step 561 feeds back the heart rate, blood pressure and blood oxygen to the App on the mobile device or the control module in the "specific environment". At this time, the App on the mobile device or the control module in the "specific environment" calculates a ratio value through the algorithm of this feedback data, and then transmits this ratio value to the management control module 611 through the Internet, and the management control module 611 compares it with the ratio value stored in the memory module 617 or the internal private cloud 6151. For example, if the ratio value calculated by the algorithm falls between 1.1 and 1.15, the management control module 611 determines that the probability of this ratio value reaching a happy emotion is 80%, and the probability of reaching a pleasant emotion is 20%. If we determine that the probability of achieving the effect is 75%, the management control module 611 will determine that the user has achieved the required happy mood after the "light recipe" of the selected "situational dynamic spectrum program" is illuminated, and will stop the illumination program after the "situational dynamic spectrum program" completes the illumination program. Then, in step 590, the current "light recipe" data of the "situational dynamic spectrum program" is stored in the internal private cloud 6151 or the external private cloud 6153 or the public cloud 6155 in the cloud 610. If it is determined that the user has only a 50% chance of achieving a happy mood after the "light recipe" of the selected "situational dynamic spectrum program" is illuminated, it means that the user's required happy mood has not yet been achieved. At this point, it is necessary to return to step 550, adjust the lighting parameters of the "light recipe" of the selected "situational dynamic spectrum program" through the control mode of step 540, and then perform the lighting procedure again. The user's heart rate, blood pressure and blood oxygen are fed back to the App on the mobile device or the control panel 670 in the field through the contact physiological sensor of step 561. After the ratio is calculated by the algorithm, this ratio is once again transmitted to the cloud database through the Internet and compared with the ratio in the cloud database until the required happy mood is reached.Obviously, during the storage process of step 590, it will also be stored in step 530 at the same time. Therefore, at this time, in addition to the various "light recipes" downloaded from step 470, the cloud database established in step 530 also includes the "situational dynamic spectrum program" adjusted by the algorithm. Therefore, the "situational dynamic spectrum program" cloud database stored in the "situational dynamic spectrum program" established in step 530 can provide more effective "situational dynamic spectrum program" for users to perform human-factor lighting. In addition, it should be emphasized that in this embodiment, the editing of the "situational dynamic spectrum program" of multiple light scenes includes a single emotion multi-light scene combination and a multi-light scene combination of multiple emotions. Of course, specific emotions included in the multi-light scene combination of multiple emotions can also be combined using multiple light scenes, and the present invention is not limited to this.

[0113] The automatically adjustable intelligent human-factor lighting system or method provided by the present invention can use feedback signals to determine whether the user has achieved the desired effect after being illuminated by the "light recipe" selected by the user, allowing the user to judge or feel for himself whether the effect has been achieved. The solution provided by the present invention is to make judgments based on the user's actual physiological signals. Therefore, the above-mentioned embodiments using physiological signals as algorithms are only illustrative examples to allow the general public to understand the implementation methods of the technical means of the present invention, and should not be used as limitations on the scope of the present invention. The present invention emphasizes that as long as individual comparisons are made through the user's physiological signals or the physiological signals are processed, and then further compared with the data in the cloud 610 database, they are all within the scope of the "algorithm" described in the present invention.

[0114] According to the above-mentioned automatically adjustable intelligent human-factor lighting method, the present invention further provides an intelligent human-factor lighting system for commercial operation, such as Figure 6 As shown. The intelligent human-factor lighting system 600 for commercial operation of the present invention includes: a cloud 610, a management control module 611, a lighting field 620 of intelligent lighting, and a portable communication device 630. The devices configured in the lighting field 620 include: a lamp group or a light-emitting device 621, at least one occupancy sensor 660, at least one ambient light sensor 650, and a control module 640. The lighting field 620 includes a "specific environment", according to Figure 5a As shown, "specific environment" can be divided into three types of fields, including: closed spaces or smart lighting fields that can be used by multiple people, and portable human-centered lighting devices or closed spaces for personal use.

[0115] first, Figure 6An intelligent human-factor lighting system 600A for commercial operations is disclosed, which can be applied to an embodiment for use by multiple people. The client can use a portable communication device 630 and download a "light recipe" or a "situational dynamic spectrum program" to the cloud 610 via the Internet, and use the portable communication device 630 to start the lamp group 621 for human-factor lighting to form an automatically adjustable intelligent human-factor lighting system. In this embodiment, the client can be remote or in a specific environment at the near end. When the client is remote, the Internet is an intelligent Internet of Things (AIoT) formed by an Internet of Things (IoT) and artificial intelligence (AI). When the client is at the near end, the Internet is a wireless communication protocol formed by a gateway, including: Wifi or Bluetooth, etc.

[0116] Next, when multiple users are already distributed in a closed space or a smart lighting field, the portable communication device 630 can be used to start the lamp group 621 to perform human-induced lighting with a specific "light recipe" or "situational dynamic spectrum program". Among them, the closed lighting system is a closed space with multiple light-emitting devices (for example: a closed cavity that can isolate external light), which can provide one or more users with human-induced lighting in the closed cavity. The smart lighting field is a field with multiple light-emitting devices that can accommodate multiple people, such as: a conference room, a classroom, an office space, a social place or a factory, etc., which can provide multiple users with human-induced lighting in the smart lighting field.

[0117] In addition, the lamp group 621 can be further configured in a closed space or a smart lighting field. When multiple users perform human-induced lighting in this closed space, the closed space can provide a space that is isolated from external environmental interference, allowing users to immerse themselves in the selected "light recipe" or "situational dynamic spectrum program". At the same time, in order to enable human-induced lighting to achieve the desired effect faster, a contact physiological sensor configured on each user can be used to measure the user's heart rate, blood pressure, pulse, blood oxygen concentration or electrocardiogram, etc., so as to determine whether the user has reached the required emotion. In addition, the frequency of vibration, ambient temperature, and environmental carbon dioxide concentration detected by the presence sensor 660 and the ambient light sensor 650 configured in the smart lighting field can be used for face recognition, and the environmental carbon dioxide concentration, spectrum, light intensity, flicker rate, and color temperature can be transmitted to the management control module 611 in the cloud 610 through the intelligent Internet of Things (AIoT) for calculation to determine whether the user has achieved the set effect. Similarly, during the spectral irradiation process, the "light recipe" of the multi-light scene can be adjusted through the App on the mobile device used by the user 630 or the control module in the smart lighting field. For example, when the ambient light sensor 650 detects the influence of ambient light, the "light recipe" of the selected "situational dynamic spectrum program" can be adjusted. The adjustment methods include: time, longitude and latitude, brightness, flashing rate, etc. (please refer to the operation process of steps 540, 550, 570 and 580 shown in Figure 5 for details).

[0118] then, Figure 6 Another embodiment of an intelligent human-factor lighting system 600A for commercial operation shown is disclosed, which is applied to personal use. A user can use a portable communication device 630 to download a "light recipe" or a "situational dynamic spectrum program" to the cloud 610 via the Internet, and activate the mobile portable human-factor lighting device through the portable communication device 630 to perform human-factor lighting, so as to form an automatically adjustable intelligent human-factor lighting system. In particular, when the user has worn the mobile portable human-factor lighting device on the user's eyes, the portable communication device 630 can be used to activate the lamp group 621 configured in the mobile portable human-factor lighting device to perform human-factor lighting with a specific "light recipe" or "situational dynamic spectrum program". Among them, the mobile portable human-factor lighting device is a virtual device related to the metaverse, such as a virtual reality (VR), mixed reality (MX) or extended reality (XR) device, which can provide a single user with human-factor lighting through a virtual device.

[0119] In addition, in order to make the human factor lighting of the portable human factor lighting device achieve the desired effect faster, a contact physiological sensor can be configured on the user to measure the user's heart rate, blood pressure, pulse, blood oxygen concentration or electrocardiogram, etc., so as to determine whether the user has reached the required emotion. Similarly, during the spectrum irradiation process, the "light recipe" of the multi-light scene can be adjusted through the App on the mobile device 630 used by the user or the control module 640 in the closed cavity (please refer to the operation process of steps 540, 550, 570 and 580 for details).

[0120] In a preferred embodiment, the configuration of the lamp group 621 can be configured according to customized needs through the hardware service database of step 4510 and the software service database of step 4520. Finally, the portable communication device 630 in the automatically adjustable intelligent human-factor lighting system of the present invention can be a smart phone, a tablet device, or a workstation. The portable communication device 630 can download an application (APP) containing intelligent human-factor lighting to the management control module 611 through the intelligent Internet of Things (AIoT). Through this APP, the user can connect to the public cloud in the cloud 610, and then select the desired "light recipe" or "dynamic spectrum program" from the public cloud for human-factor lighting. At the same time, through this App, the lamp group 621 can also be remotely turned on or off through a short-range communication protocol, so as to control the spectrum to achieve the effect of human-factor lighting. Among them, if the user confirms that those "light prescriptions" or "situational dynamic spectrum programs" have therapeutic effects, these "light prescriptions" or "situational dynamic spectrum programs" can be downloaded to the client's portable communication device 630. Afterwards, through the control module 640 configured on the client, the "light prescription" or "situational dynamic spectrum program" can be directly turned on to perform human-induced light therapy without going through the Internet connection process, allowing users to quickly enter the human-induced light therapy program.

[0121] The above-mentioned intelligent human-factor lighting system that can be automatically adjusted is to establish a database of the brain's "blood oxygen concentration dependent response increase" through the human-factor lighting system. This database of the brain's "blood oxygen concentration dependent response increase" is edited by the light formula to construct a multi-spectral light-emitting device cloud database. The cloud database can provide users with the human-factor lighting system to set the brain's emotional needs to be achieved, and the human-factor lighting system determines or recommends the operation logic of the light formula program, which can be implemented in closed human-factor lighting devices, open intelligent lighting fields, and mobile human-factor lighting devices. After that, when the user is experiencing the light situation, the human-factor lighting system algorithm determines the user's physiological and psychological state. If the brain's emotional needs are not met, the "light formula" program is continuously changed through the wireless device feedback signal, and after the "light formula" is readjusted, it is re-verified whether the expected emotional needs are met. If the brain meets the emotional needs, the "light formula" or "situational dynamic spectrum program" formed by human-factor lighting that meets the user's emotional needs is provided to carry out the lighting process. Obviously, through the intelligent human-caused lighting method and system disclosed in the present invention, the human-caused lighting effect of the brain's emotional needs can be commercially promoted without the need for fMRI, benefiting more users.

[0122] Next, please refer to Figure 7 , is to further disclose the present invention for Figure 6 The intelligent human-factor lighting system is a lighting fixture group control architecture at the lighting field end. Figure 7 As shown, the lighting field 620 of the intelligent human-caused lighting system 600 is a closed field or space, and some lamp groups 621 may have been configured in the lighting field 620, wherein in this embodiment, the lamp group 621 is an intelligent lamp group with communication function (referred to as intelligent lamp group). In the embodiment of the present invention, the intelligent lamp group 6211 can be a single lamp, or it can be an intelligent lamp group composed of multiple lamps. Then, the ambient light sensor 650 is configured in the lighting field 620, wherein the number of ambient light sensors 650 can be one or more, depending on the number of intelligent lamp groups 621 configured, and these ambient light sensors 650 are configured with communication modules, which can be paired with the intelligent lamp group 621 through the communication protocol 801 such as Zigbee, Bluetooth or WIFI. The pairing described here refers to connecting an ambient light sensor 650 with a smart lamp group 621 through a communication protocol 801 such as Zigbee, Bluetooth or WIFI, so that the smart lamp group 621 can be controlled by the ambient light sensor 650 that is connected or paired with it to control its lighting spectrum, wherein the smart lamp group 621 can be composed of multiple smart lamps.

[0123] It should be further explained that in the subsequent embodiments of the present invention, an ambient light sensor 650 can be connected or paired with multiple smart lamp groups 621 to form a lighting spectrum of multiple smart lamp groups controlled by one ambient light sensor 650, such as Figure 8a As shown, Figure 8a This is a schematic diagram of a configuration of controlling the lighting of an intelligent lamp group in a lighting field according to the present invention. Figure 8a As shown, multiple ambient light sensors (6501, 6503, 6505) are paired one-to-one with multiple smart lamp groups (6211, 6213, 6215), for example, an ambient light sensor 6501 is connected or paired with a smart lamp group 6211 composed of multiple lamps, so that multiple smart lamps in the smart lamp group 6211 can be controlled by an ambient light sensor 6501 to illuminate with the same "light recipe". According to the above, a preferred embodiment of the ambient light sensor 650 of the present invention is a sensing chip that can provide constant illumination, including: an illumination sensor and an LED driving circuit.

[0124] In addition, in another embodiment, multiple ambient light sensing modules (6511, 6513, 6515) and multiple smart lamp groups (6211, 6213, 6215) can also be connected or paired via a communication protocol 801 such as Zigbee, Bluetooth or WIFI. Figure 8b As shown, Figure 8b FIG. 1 is another configuration diagram of controlling the lighting of the intelligent lamp group in the lighting field of the present invention. Figure 8b As shown, each ambient light sensing module (6511, 6513, 6515) is composed of multiple ambient light sensors. When multiple ambient light sensing modules (6511, 6513, 6515) are connected or paired with multiple smart lamp groups (6211, 6213, 6215), in an ideal situation, one ambient light sensor in each ambient light sensing module 6511 is paired with one smart lamp in one smart lamp group 621. One ambient light sensor can be used to control one smart lamp to illuminate with the same "light recipe". Obviously, the present invention does not limit the number of connections or pairings between the ambient light sensor 650 and the smart lamp group 621.

[0125] Next, in order to facilitate the user to adjust the lighting parameters of the smart lamp group 621 in the lighting field 620, the present invention further provides a control panel 670 with a display function, wherein the control panel 670 can be Figure 6 The control panel 670 may be configured or fixed in the illumination field 620.

[0126] The control panel 670 in this embodiment is a control panel 670 with display function and communication function, which can be connected to the ambient light sensor 650 through the communication function, so that the connection or pairing result between the ambient light sensor 650 and the smart lamp group 621 can be stored in the control panel 670, so that the control panel 670 can control the lighting spectrum of the smart lamp group 621 through the ambient light sensor 650. In addition, the control panel 670 in this embodiment can also directly connect or pair with the smart lamp group 621 through the communication function, so that the control panel 670 can directly control the lighting spectrum of the smart lamp group 621 according to the needs of the user. The connection or pairing method of the control panel 670 with the ambient light sensor 650 and the smart lamp group 621 is to complete the pairing through the communication protocol 801 such as Zigbee, Bluetooth or WIFI configured in the closed space of the lighting field 620. Therefore, when the control panel 670 controls the smart lamp group 621 to provide a light spectrum, it is also done through the communication protocol 801 such as Zigbee, Bluetooth or WIFI. As mentioned above, the ambient light sensor 650 disclosed in the present invention is not only equipped with a communication module (not shown in the figure), but also further equipped with a light intensity detection module (not shown in the figure), so that it can monitor the light environment conditions in the lighting field 620 and the spectrum, brightness and illumination of each smart lamp group 621. These detected light environment conditions can be transmitted to the control panel 670 through the communication protocol such as Zigbee, Bluetooth or WIFI.

[0127] When the ambient light sensor 650, the smart lamp set 621 and the control panel 670 configured in the lighting field 620 have been paired through the communication protocol 801 such as Zigbee, Bluetooth or WIFI, the present invention further discloses a mobile communication device used by the user as an interface device 630 between the cloud 610 and the lighting field 620, wherein the interface device 630 includes a smart phone, a personal digital assistant (PDA) or a notebook computer (NB), so that the interface device 630 can connect to the system program of Software as a Service (SaaS) or Platform as a Service (PaaS) through the application (App) in the smart phone or the notebook computer (NB) to pair and connect the interface device 630 with the ambient light sensor 650 and the control panel 670, so that the user's screen (UI) can be seen through the interface device 630, and the spectrum of the lighting can be controlled through the ambient light sensor 650 by operating the user's screen (UI) of the interface device 630. The interface device 630, the ambient light sensor 650 and the control panel 670 can also be paired using Zigbee, Bluetooth or Windows communication protocol 801. Therefore, when the ambient light sensor 650 detects the influence of ambient light or background light, the interface device 630 or the control panel 670 can adjust the selected "situational dynamic spectrum program" or "biological rhythm related settings" through the cloud 610. The adjustment method includes: time, longitude and latitude, brightness, flashing rate, etc. (please refer to the operation process of steps 540, 550, 570 and 580 shown in Figure 5 for details). The interface device 630 and the control panel 670 can communicate with the cloud 610 through the intelligent Internet of Things (AIoT). Obviously, the intelligent human-factor lighting system of the present invention can control the intelligent lamp group 621 through the mobile phone 630, the ambient light sensor 650 or the monitoring panel 670 in the control architecture of the lighting field 620, so that the user can easily operate or control the lighting of the field 620.

[0128] Next, please refer to Fig. 9 , is a control device with display and communication functions of the present invention. Fig. 9As shown, first of all, from the appearance, the control panel 670 can be selected to be a geometric shape, for example: the present embodiment selects a rectangular structure, in particular a rectangular structure with a golden ratio (16:9), wherein the length of the long side is 100 mm to 150 mm. Next, the control panel 670 is configured with a display 810 near the central area to display the digital signals of the lighting parameters of the ambient light sensor 650 and the smart lamp group 621 in the lighting field 620. In the area below the display 810, a plurality of operation buttons are configured, wherein button 831 is an overview button, which can be used to view the values ​​of all ambient light sensors 650, and can also be used as a function key to switch parameters. Button 833 is a selection (or switching) button, which can sequentially display the dynamic information of the current ambient light detected by each ambient light sensor 650. Button 835 is a lighting parameter switching button, which can select or switch to the lighting parameters that the user wants to display in sequence, including: illuminance (lx), color temperature (CCT), color rendering index (Ra), equivalent black vision illuminance (EML), physiological stimulation value (CAF) and / or light flicker rate (Flicker) and other information. Button 837 is an illuminance adjustment button, which can adjust the illuminance of the smart lamp group 621 paired with the selected ambient light sensor 650, for example: adjust the illuminance up or down through button 837. Button 839 is a color temperature adjustment button, which can adjust the color temperature of the smart lamp group 621 paired with the selected ambient light sensor 650, for example: adjust the color temperature up or down through button 839.

[0129] Among them, the above-mentioned equivalent melanopic lux (EML) is mainly calculated by multiplying the vertical visual illuminance in a space by the ratio of the light source. Therefore, the equivalent melanopic illuminance (EML) measures the level of light stimulation on the human physiological cycle in a field. It is used to quantify the biological effect of light on people and is also one of the standards recommended by the international WELL building standard for planning human lighting. Therefore, different daily activities are suitable for different EML values. For example, during the day or when you need to concentrate, a high EML value is required; on the contrary, at night or when you need to relax, a low EML value is required. Therefore, when the intelligent human lighting system 100 of the present invention is started up, the control panel 670 can reset the EML value according to the time of day, for example, the highest and lowest values ​​of the EML value set according to the time at that time. When the EML value detected by the ambient light sensor 650 reaches the highest and lowest values, the control panel 670 will send information, including: different sounds or the display showing a screen of different colors. Among them, in the embodiment of the present invention, the indoor vertical visual EML value during daytime is set to 250-500, the indoor vertical visual EML value during dusk time is set to 100-150, and the indoor vertical visual EML value during night time is set to 50-75.

[0130] In addition, the above-mentioned physiological stimulation value (Circadian Action Factor, CAF) is mainly calculated based on the illumination of the intelligent lamp group 621, and is used to measure the stimulation level of the lamp to the human body. For example, when the physiological stimulation value (CAF) value is higher, the light has a higher stimulation to the human body, which can make people energetic. When the CAF value is lower, the light has a lower stimulation to the human body, which makes people feel relaxed. Therefore, the control panel 670 can set the CAF value according to the user's personal physiological rhythm. For example, when the control panel 670 sets a "light formula" with a color temperature of 5700K and CAF=0.8 during the period from 9 am to 11 am, and can simultaneously set the upper limit value (for example: 1) and the lower limit value (for example: 0.6) of CAF, when the CAF value detected by the ambient light sensor 650 reaches the highest and lowest values, the control panel 670 will send information, including: different sounds or the display showing a screen of different colors.

[0131] Obviously, the difference between CAF and EML is that the former measures the stimulation of the light spectrum of the smart lamp group 621 on the human body, while the latter measures the stimulation of the field on the human body. But the same thing is that the higher the value, the higher the stimulation to the human body, which can boost the spirit; the lower the value, the lower the stimulation to the human body, which helps to relax the body and mind.

[0132] In addition, Figure 8a and Figure 8b The multiple ambient light sensors (6501, 6503, 6505) or multiple ambient light sensing modules (6511, 6513, 6515) are paired with the control panel 670 through the communication protocol 801 such as Zigbee, Bluetooth or WIFI. Therefore, when the control panel 670 downloads a specific "light recipe" from the cloud, the "light recipe" can be transmitted to the ambient light sensors (6501, 6503, 6505) or multiple ambient light sensing modules (6511, 6513, 6515) through the communication protocol 801 such as Zigbee, Bluetooth or WIFI. Then, the ambient light sensors (6501, 6503, 6505) or multiple ambient light sensing modules (6511, 6513, 6515) are used to control the smart lamp group (6211, 6213, 6215) to provide lighting according to the "light recipe".

[0133] Since the intelligent human factor lighting system 100 disclosed in the present invention is a commercial system with practical effects, various lighting parameters in the lighting field 620 must be controlled very accurately, for example, at least including: illuminance (lx), color temperature (CCT), color rendering index (Ra), equivalent black vision illuminance (EML), physiological stimulation value (CAF), light flicker rate (Flicker) and / or illuminance uniformity and other information. In particular, the equivalent black vision illuminance (EML) and physiological stimulation value (CAF) in the lighting field 620 must be accurate in order to determine the effect of the "light formula" used by the user on mood adjustment. Therefore, the present invention needs to further detect various background light sources in the control light field 620, especially the light that overflows into the space through the windows of the building, and compensate for the impact of the target spectrum set in the control light field 620, so that the lighting field 620 can be maintained in the environment of the set target spectrum.

[0134] Next, the present invention will disclose an intelligent human-factor lighting system and method for automatically adjusting space lighting parameters. First, Figure 10a to Figure 10d , which is a schematic diagram showing some embodiments of an external light source entering a space equipped with an intelligent human-factor lighting system. First, multiple ambient light sensors 650 are arranged in the space 620, and multiple openings 623 are arranged on one side of the space 620 to allow external light to enter the space 620, wherein the openings 623 can be windows or doors. The external light can be sunlight during the day, moonlight at night, or neon light. The intelligent human-factor lighting system 100 arranged in the space 620 can be Figure 3 , Figure 6 or Figure 7The intelligent human-factor lighting system shown in the figure is not limited to the present invention. In addition, in order to clearly illustrate the intelligent human-factor lighting system and method for automatically adjusting lighting parameters in a space, the following is a description of the intelligent human-factor lighting system and method for automatically adjusting lighting parameters in a space. Figure 7 The intelligent human factor lighting system 600 is shown as an example for explanation.

[0135] first, Fig.10a It is shown that a plurality of ambient light sensors 650 are arranged at intervals in the space 620. In one embodiment, the intervals between the plurality of ambient light sensors 650 are the same. Fig.10b and Fig.10c is Fig.10a On the basis of, a plurality of ambient light sensors 650 are arranged in the space 620 for grouping, wherein Fig.10b In a preferred embodiment, a plurality of ambient light sensors 650 arranged at intervals are grouped in a horizontal direction (from the left side to the right side in the direction facing the figure). Fig.10c A preferred embodiment is to group multiple ambient light sensors 650 arranged at intervals in the vertical direction (from the top to the bottom in the direction shown in the figure). The purpose of grouping is that when the area of ​​the space 620 is large and the number of ambient light sensors 650 is large, the control panel 670 can perform parallel calculations and controls according to the number of groups to reduce the load of the control panel 670 after the ambient light sensors 650 are grouped. Fig.10d In the embodiment shown, a spacer 625 is used to divide the space 620 into a plurality of sub-spaces of different sizes, wherein the secondary space 6210 and the sub-space 6220 both have windows to allow external light to enter the sub-space 6210 and the sub-space 6220, and the sub-space 6230 is a closed space that will not be affected by external light, and its purpose is to disclose and deduce the light environment of various specific environments.

[0136] Next, please refer to Fig.11a , is a method of automatically adjusting space lighting parameters of the present invention. First, as shown in step 1110, the ambient light sensing module 650 drives the smart lamp group 621 in the space 20 to perform lighting. The lighting parameters for lighting can be a preset light formula, wherein the preset light formula can be obtained by the ambient light sensing module 650 from the control panel 670, and the preset light parameters may include: illuminance, color temperature, color rendering index (Ra), equivalent black vision illuminance (EML), physiological stimulus value (CAF), light flicker rate (Flicker) and / or illuminance uniformity and other information.

[0137] Next, as shown in step 1120, the user sets the target parameters of the lighting in the space. In the embodiment of the present invention, the target parameters of the lighting may include: illumination, color temperature, color rendering index (Ra), equivalent black vision illumination (EML), physiological stimulation value (CAF), light flicker rate (Flicker) and / or illumination uniformity and other information. For example: when the user sets the "target parameters" of a work area to a color temperature of 5700K, illumination and CAF=0.6 through the control panel 670, the ambient light sensing module 650 will drive the smart lamp group 621 to illuminate according to the lighting "target parameters" of the "light recipe".

[0138] Next, as shown in step 1130, the ambient light sensing module 650 is driven to perform ambient light detection on the space 20. For example: the control panel 670 drives the ambient light sensing module 650 to perform ambient light detection on the light environment in the space 20, wherein the ambient light sensing module 650 performs ambient light detection on the light environment in the space 20 through a light detection module configured therein, and the detected lighting parameters at least include: illuminance (lx) and color temperature (CCT). Since each ambient light sensing module 650 is located at a different position, the illuminance (lx) and color temperature (CCT) detected by each ambient light sensing module 650 will be different. In particular, when the field of the space 20 is larger, the uneven illumination (lx) and color temperature (CCT) at different positions will be more serious. For example: Fig.10a The illuminance measured by the ambient light sensing module No. 1 is 800 and the color temperature is 6200K, the illuminance measured by the ambient light sensing module No. 2 is 400 and the color temperature is 5500K, and the illuminance measured by the ambient light sensing module No. 3 is 100 and the color temperature is 5200K. It should be emphasized that the ambient light detection of the space 20 shown in step 1130 is continuously performed, so the values ​​of the light parameters detected by the ambient light sensing module 650 will be recorded or stored according to the schedule and transmitted to the memory (not shown in the figure) of the control panel 670.

[0139] Next, as shown in step 1140, the value of the ambient light detection is compared and determined to be the same as the target parameter value. For example, the control panel 670 compares the value of the lighting parameter in the actual environment detected by each ambient light sensing module 650 with the set target parameter. If the comparison result of the control panel 670 is that the preset lighting parameter detected by each ambient light sensing module 650 is the same as the set target parameter, for example: when Fig.10aIf the illuminance and color temperature measured by the No. 1, No. 2 and No. 3 ambient light sensing modules (6501, 6502, 6503) are the same as the target parameters, then the process goes to step 1150, and the intelligent lamp group 621 driven by the ambient light sensing module 650 continues to provide illumination with the current illumination parameters and stores them in the control panel 670. In addition, if the comparison result of the control panel 670 is that the preset illumination parameters detected by at least one ambient light sensing module 650 are different from the set target parameters, then the process goes to step 1660, and the control panel 670 drives the ambient light sensing module to perform a dimming procedure on the intelligent lamp group. As mentioned above, the ambient light sensing module 650 of the present invention is a constant illumination sensing chip, so it can continuously detect the changes in illumination parameters in the space 620 during the operation of the chip and send them to the storage device for storage.

[0140] The dimming procedure of step 1160 of the present invention is divided into three steps for execution. First, as shown in step 1161, the ambient light sensing module 650 automatically adjusts the color temperature of the illumination according to the target parameter. For example, when the color temperature measured by the ambient light sensing module No. 1 6501 is 6200K, the ambient light sensing module 6501 will gradually adjust the illumination provided by the paired smart lamp group 621 to 5700K. Similarly, the illumination provided by the paired smart lamp group 621 of the ambient light sensing module No. 2 6502 and the ambient light sensing module No. 3 6503 will be gradually adjusted to 5700K. It should be emphasized that according to Fig.10a As shown, the worst case is when the color temperature of the 9 ambient light sensing modules is different from the color temperature set by the target parameter. The color temperature of each ambient light sensing module is adjusted to 5700K by sequential or parallel processing, and the present invention is not limited thereto. The second step of the dimming procedure will not be performed until the control panel 670 confirms that the color temperature of each ambient light sensing module is adjusted to 5700K. It should be noted here that the embodiment of the dimming procedure is explained by adjusting the color temperature, and is not intended to limit the dimming procedure of the present invention to only adjusting the color temperature. As mentioned above, the preset light parameters of the present invention may include: illuminance, color temperature, color rendering index (Ra), equivalent black illuminance (EML), physiological stimulus value (CAF), light flicker rate (Flicker) and / or illuminance uniformity and other information, all of which can be adjusted in the dimming procedure.

[0141] The second step is to automatically adjust the power parameters of the smart lamp group 621 as shown in step 1163. The control panel 670 controls the power value of the smart lamp group 621 paired with the ambient light sensor module 650 according to the location of the ambient light sensor module 650. In this embodiment, the power of the smart lamp group 621 is controlled by pulse width modulation (PWM). For example, the ambient light sensor module 6501 No. 1 is closest to the window, so its background light is the brightest, so a lower power value can be given, for example, providing the PWM of the smart lamp group 621 paired with the ambient light sensor module 6501 No. 1 with a supply rate (Duty Cycle) of 30%. For another example, according to the location of the ambient light sensor module 6502 No. 2 from the window, the PWM of the smart lamp group 621 paired with the ambient light sensor module 6502 can be provided with a supply rate (Duty Cycle) of 50%. For another example, since the ambient light sensing module 6503 No. 3 is farthest from the window, the PWM of the smart lamp group 621 paired with the ambient light sensing module 6503 No. 3 can be provided with a duty cycle of 80%. Obviously, the present invention uses PWM dimming because PWM dimming has the advantages of no color shift, high dimming accuracy, dimming with digital technology, wide dimming range, and no flicker. In addition, after this step, energy saving requirements can also be achieved.

[0142] The third step, as shown in step 1165, is to automatically adjust the indoor illumination uniformity. It is based on the actual illumination detected by the ambient light sensing module 650, after the illumination uniformity formula is calculated, and compared with the target illumination uniformity. If the illumination uniformity has reached the target value, then go to step 1150 to provide illumination with the current illumination parameters and store it in the memory of the control panel 670. The illumination uniformity calculation formula and example are described as follows:

[0143] Illumination uniformity = minimum illumination value / average illumination value [Equation 1]

[0144] For example: when the target illumination uniformity is set to 0.6, Fig.10a The illuminances measured by the No. 1, No. 2 and No. 3 ambient light sensing modules are 800, 400 and 100 respectively. The average illuminance value measured by the No. 1, No. 2 and No. 3 ambient light sensing modules is

[0145] (800+400+100) / 3=433, then according to equation 1 we can get

[0146] Illumination uniformity = 100 / 433 = 0.23

[0147] when Fig.10aAfter the ambient light sensing modules No. 1, No. 2 and No. 3 are illuminated, the obtained illumination uniformity = 0.23, which obviously does not reach the target illumination uniformity setting value of 0.6. Therefore, it is necessary to adjust the illumination of the smart lamp group 621 paired with the ambient light sensing modules No. 1, No. 2 and No. 3. In a preferred embodiment of the present invention, when the actual illumination uniformity is lower than the target illumination uniformity, the smart lamp group 621 with the smallest illumination (that is, the smart lamp group 6503 farthest from the window) is the object of priority adjustment. For example: the control panel 670 drives the smart lamp group 621 paired with the ambient light sensing module No. 3 to increase its illumination. For example, when the illumination of the smart lamp group 621 No. 3 is increased to 300, the average illumination value measured by the ambient light sensing modules No. 1, No. 2 and No. 3 is:

[0148] (800+400+300) / 3=500, then according to equation 1 we can get

[0149] Illumination uniformity = 300 / 500 = 0.6

[0150] When the adjusted illumination uniformity reaches the target illumination uniformity, the process goes to step 1150 to provide illumination with the current illumination parameters and store them in the memory.

[0151] Next, we need to further explain that Fig.10a After all nine ambient light sensing modules in the system have been illuminated, the actual illumination uniformity should be calculated by substituting the illumination measured by the nine ambient light sensing modules into equation 1. Fig.10b For the 9 ambient light sensing modules in the space 20, after the 9 ambient light sensors are grouped into zones according to the space 20, the average illumination value of each zone is calculated respectively. For example:

[0152] Ea area = (E1+E2+E3) / 3,

[0153] Eb area = (E4+E5+E6) / 3,

[0154] Ec area = (E7+E8+E9) / 3,

[0155] Then, the illumination uniformity is obtained according to Equation 1, where

[0156] Fig.10b The calculation formula of illumination uniformity is as follows:

[0157] Illumination uniformity = Min (Ea, Eb, Ec) / Avg (Ea, Eb, Ec) [Equation 2]

[0158] Finally, judging the above Fig.10b Whether the illumination uniformity in is greater than the set target value.

[0159] If Fig.10c For the 9 ambient light sensing modules in the system, the average illumination value of each partition is calculated first. For example:

[0160] Ea area = (E1+E4+E7) / 3,

[0161] Eb area = (E2+E5+E8) / 3,

[0162] Ec area = (E3 + E6 + E9) / 3

[0163] Afterwards, since the distances of Ea, Eb, and Ec relative to the opening 623 are different, some weights need to be assigned. According to equation 1, Fig.10c The calculation formula of illumination uniformity in is as follows:

[0164] Illumination uniformity = Min (Ca * Ea, Cb * Eb, Cc * Ec) / Avg (Ca * Ea, Cb * Eb, Cc * Ec)

[0165] [Equation 3]

[0166] Among them, Ca, Cb, and Cc are parameters of a weight. In a preferred embodiment of the present invention, the parameters of the weight can be, for example: Ca is between 0.25 and 0.5, Cb is between 0.5 and 0.75, and Cc is between 0.75 and 1.0.

[0167] Finally, judging the above Fig.10c Whether the illumination uniformity in is greater than the set target value.

[0168] Another example Fig.10d In the embodiment of the present invention, multiple sub-spaces of different sizes can be distinguished in a space 620, but they can all be based on Fig.10c The calculation is performed according to Equation 1.

[0169] Finally, when the present invention completes the dimming procedure of step 1160, and all the lighting parameters after dimming are compared and confirmed to meet the target parameters in step 1140, it will go to step 1150, and the ambient light sensing module 650 will continue to drive the smart lamp group 621 to provide lighting with the current (and dimmed) lighting parameters, and store the current lighting parameters in the control panel 670.

[0170] In addition, it should be emphasized that in the dimming procedure of step 1160 of the present invention, the step of automatically adjusting the power parameters of the smart lamp group 621 in step 1163 can be selectively added to the dimming procedure. When both step 1163 and step 1165 are implemented, it will be another preferred embodiment of the present invention. If the illuminance in the target parameter includes information such as equivalent black vision illuminance (EML) and physiological stimulation value (CAF), the information such as equivalent black vision illuminance (EML) and physiological stimulation value (CAF) can be obtained by calculation based on the illuminance detected by the ambient light sensor 650.

[0171] Next, please refer to Fig.11b , is another method of automatically adjusting space lighting parameters of the present invention. In particular, Fig.11b and Fig.11a The difference between them is in step 1121. As shown in step 1121, the control panel 670 can set the values ​​of equivalent black vision illuminance (EML) and physiological stimulation value (CAF) related to the human circadian rhythm according to the daily time interval as the target parameters set in the space 620, wherein the difference between CAF and EML is that CAF measures the stimulation of the light spectrum of the smart lamp group 621 on the human body, and EML measures the stimulation of the field on the human body. But the same thing is that the higher the value, the higher the stimulation to the human body, which can boost the spirit; the lower the value, the lower the stimulation to the human body, which helps to relax the body and mind. For example: keep CAF>0.4 during people's daytime activities, and keep CAF<0.1 after dusk. As for EML, the WELL building standard requires that the EML of the human body should reach 200-250 during the daytime activities, and after entering dusk, the EML should be lower than 50. Therefore, the present invention can use the equivalent black illuminance (EML) and the physiological stimulus value (CAF) as one of the target parameters.

[0172] In a preferred embodiment, a numerical database of CAF or EML parameters can be established in step 1125, and the CAF or EML target parameters in step 1121 can be automatically changed according to the time interval. Fig.11b As shown, after updating the CAF or EML target parameters, from step 1130 to step 1165, all are the same as Fig.11a The corresponding steps are the same.

[0173] For example, in the morning between 9 and 11 o'clock, the current intelligent human factor lighting system can already provide physiological target parameters for this time interval, especially the color temperature is adjusted to 5700K, the CAF value is greater than 0.4, and the EML reaches the target parameters of 0.65. Afterwards, when the time interval enters the interval between 11 and 13 o'clock, according to the new color temperature, CAF or EML parameter database established in step 1125, for example, the set target parameters are color temperature = 4000K, illumination uniformity = 0.51, CAF is maintained greater than 0.4, and EML is maintained at 200. At this time, in step 1121, the control panel 670 drives the ambient light sensor 650 to illuminate according to the newly set target parameters. At this time, step 1130 is entered, and the ambient light sensor 650 detects the light in the space 20, and in step 1140, the detected light parameters are compared with the newly set target parameters. Obviously, since the target parameters have been changed to the newly set target parameters, it is necessary to enter the dimming procedure of step 1160. At this time, as shown in step 1161, the ambient light sensing module 650 will first gradually adjust the illumination provided by the paired smart lamp group 621 to 4000K. When the control panel 670 confirms that each smart lamp group 621 has adjusted the color temperature to 4000K, and performs the procedure of step 1163, the power parameters of the smart lamp group 621 will be appropriately adjusted according to the location of the ambient light sensing module 650. Step 1165 is to automatically adjust the indoor illumination uniformity. Similarly, according to the illumination detected by the ambient light sensing module 650, after calculation by the illumination uniformity formula, compared with the target illumination uniformity, if the illumination uniformity has reached the target value, then go to step 1150 to provide illumination with the current light parameters and store it in the memory. For example, when the illumination of smart lamp group 621 No. 1 is lowered to 250, the average illumination value measured by ambient light sensing modules No. 1, No. 2 and No. 3 is:

[0174] (800+400+250) / 3=483, then according to equation 1 we can get

[0175] Illumination uniformity = 250 / 483 = 0.52

[0176] When the adjusted illumination uniformity reaches the target illumination uniformity, the process goes to step 1150 to provide illumination with the current light parameters and store them in the memory.

[0177] Afterwards, when the time interval is changed, step 1125 will again update the target parameters in step 1121 according to the parameter database such as color temperature, CAF or EML, and then repeat steps 1130 to 1165, so that the present invention provides an intelligent human-factor lighting system with automatic adjustment of spatial lighting parameters.

[0178] Finally, it should be emphasized once again that the above description is only a preferred embodiment of the present invention and is not intended to limit the scope of the rights of the present invention. At the same time, the above description should be clear and implementable to those with ordinary knowledge in the relevant technical field, so other equivalent changes or modifications that do not deviate from the concept disclosed by the present invention should be included in the scope of the patent claims of the present invention.

Claims

1. A method for automatically adjusting the lighting parameters of a space, wherein a plurality of intelligent lamp groups, a plurality of ambient light sensing modules, a control panel and an interface device are arranged in the space, and all are connected through a wireless communication protocol, wherein: The smart lamp group and the interface device are paired with the ambient light sensing module and the control module respectively through a wireless communication protocol, and the control module and the interface device are connected to the cloud through an intelligent Internet of Things. The method is characterized in that: Driving the smart lamp group in the space to illuminate, the ambient light sensing module drives the smart lamp group in the space to illuminate with the illumination parameters of the preset light recipe; Set the lighting target parameters in the space. The control panel sets the equivalent black light illuminance (EML) and physiological stimulation value (CAF) of the human circadian rhythm according to the daily time interval as the target parameters set in the space; The ambient light sensing module is driven to detect ambient light in the space, and the control panel is used to drive the ambient light sensing module to detect ambient light in the space, and the value of the ambient light detection is transmitted to the control module; Determine whether the ambient light detection value is the same as the target parameter, and compare the value of the lighting parameter detected in the actual environment with the set target parameter by the control panel; wherein, When it is determined that the value of the ambient light detection is the same as the target parameter value, the ambient light sensing module continues to drive the smart lamp group to illuminate with the lighting parameters of the preset light recipe; When it is determined that the value of the ambient light detection is different from the target parameter value, the control panel drives the ambient light sensing module to perform a dimming procedure on the smart lamp group, wherein the dimming procedure includes: The ambient light sensing module adjusts the light according to the target parameter so that the value of the lighting parameter in the actual environment is the same as the set target parameter value; The illumination uniformity of the space is adjusted by calculating the illumination uniformity formula based on the actual illumination detected by the ambient light sensing module and adjusting the illumination uniformity to a target illumination uniformity.

2. The method for automatically adjusting spatial lighting parameters according to claim 1, wherein: The interface device is paired with the ambient light sensor and the control panel through a system program of software as a service (SaaS) or platform as a service (PaaS).

3. The method for automatically adjusting spatial lighting parameters according to claim 1, wherein: The preset light parameters include: illumination, color temperature, color rendering index (Ra), equivalent black level (EML), physiological stimulation value (CAF), light flicker rate (Flicker) and / or illumination uniformity and other information.

4. The method for automatically adjusting spatial lighting parameters according to claim 1, wherein: A numerical database of CAF or EML parameters is established, and CAF or EML target parameters are automatically changed according to time intervals.

5. The method for automatically adjusting spatial lighting parameters according to claim 1, wherein: When the value of the lighting parameter in the actual environment is the same as the set target parameter value, it further includes adjusting the power parameter of the smart lamp group, and the control panel controls the power value of the smart lamp group paired with it according to the position of the ambient light sensing module.

6. The method for automatically adjusting spatial lighting parameters according to claim 5, characterized in that: The power parameters of the smart lamp group are adjusted by pulse width modulation (PWM) to control the power of the smart lamp group.

7. The method for automatically adjusting spatial lighting parameters according to claim 1, wherein: The formula for illumination uniformity is illumination uniformity = minimum illumination value / average illumination value.

8. The method for automatically adjusting spatial lighting parameters as claimed in claim 1, characterized in that: The plurality of ambient light sensors disposed in the space has a function of grouping the plurality of ambient light sensors.

9. The method for automatically adjusting spatial lighting parameters according to claim 8, wherein: When the ambient light sensors are grouped according to space partitions, the average illumination value of each partition is first calculated, and then the illumination uniformity formula is used for calculation.

10. The method for automatically adjusting spatial lighting parameters according to claim 1, wherein: When the ambient light sensors are grouped according to spatial partitions, the average illumination value of each partition is first calculated, and then different weight parameters are set according to the configuration of the grouped ambient light sensor positions, and then the illumination uniformity formula is used for calculation.

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