KR101891328B1 - Eco-friendly smart lighting control system according to the biorhythm and environment change - Google Patents

Abstract

The present invention relates to a lighting control apparatus according to biological signals and environment changes, which accurately analyzes an emotion state of a user based on biological information (brainwaves, electrocardiograms, heartbeats, etc.) and environment information (temperature, illuminance, humidity, etc.), and automatically adjusts brightness and colors of lighting (particularly, LED lighting) based on the analyzed emotion state of the user to automatically provide lighting optimized for the user. According to the present invention, an eco-friendly smart lighting control apparatus according to biorhythm and environment changes comprises a biological and environmental information acquiring unit acquiring biological information and environmental information of the user; intelligent lighting management middleware calculating an emotion index corresponding to the biorhythm of the user based on the collected biological information and environmental information, and generating a profile for controlling the LED lighting according to the calculated emotion index to output lighting control data; a master lighting controller controlling brightness and colors of the LED lighting based on the lighting control data; and a slave lighting controller adjusting colors and brightness of the lighting according to the lighting control data.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an intelligent smart lighting control system,

[0001] The present invention relates to a lighting control apparatus according to a biological signal and an environmental change, and more particularly to a lighting control apparatus for a lighting control apparatus that accurately detects a user's emotional state based on biological information (brain waves, electrocardiogram, pulse, And more particularly, to a lighting control device according to a living body signal and an environment change, which can automatically provide lighting optimized for a user by automatically adjusting brightness and color of illumination (in particular, LED lighting) based on the analysis result.

Sensitivity ICT technology is a micro / ultra-precision sensor technology capable of sensing bio-signals, environment / situation signals, video signals, voice signals, and the like, which are manifested by the activity of the autonomic nervous system due to human emotional changes in everyday life, And environmental signals, and recognizes, verifies, and standardizes human emotions based on the information, and processes the information according to the usage situation to provide emotional customized products and services.

Among the various related fields currently being studied, LED emotional lighting can maximize the energy saving effect of LED lighting, and furthermore, it can provide the effect of reacting with human emotion. Reflecting this trend, foreign advanced companies are developing eco-friendly LEDs, and Korea is also responding quickly to changes in the market.

On the other hand, domestic lighting control technology has been going on system technology to centrally control lighting, technology to detect human body from sensor, on / off and dimming control technology, flicker control technology, It is insufficient.

Overseas, we are developing IoT technology to control household appliances and lighting using Wi-Fi and low-power Bluetooth, and are working on technology development that works in conjunction with various wearable devices such as Google glass, watches and clothes.

As noted, previous lighting was the concept of manual lighting in which the user himself could decide on behaviors such as required brightness, on / off control, dimming, or could not change the default settings of the lighting fixtures that were installed . On the other hand, smart lighting based on ICT is the concept of active lighting. It detects the user's movement and environmental characteristics in the space requiring lighting, and automatically creates the lighting suitable for the situation and the event, so as to create various lighting environments and functions in addition to the functions unique to the lighting. Lighting system.

The development of the smart lighting system was made in earnest when a new light source such as LED was applied as general illumination. LEDs can reduce dimming within 1% of maximum luminous intensity by LED, reduce energy consumption and shorten life of light source due to On / Off operation, The light source is advantageous in terms of control, and the lighting / light-off speed is very fast. In addition, since the size of the light source is very small, the degree of design freedom for the lighting apparatus is high, and there is no environmental pollution since gas and filament are not used.

Non-Patent Documents 1 to Non-Patent Documents 2 disclose the following prior arts for IT convergence smart illumination.

The prior art disclosed in Non-Patent Document 1 is based on knowledge of various factors such as environment, human behavior, sensibility, physiology, architecture, and illumination, and various technologies such as LED, IT, optical, To provide a lighting system that reflects emotions, pursues the convenience of living, and enables energy saving based on TPO (Time, Place, Occasion).

In addition, the prior art disclosed in Non-Patent Document 2 includes lighting such as fluorescent lamps, LED dimming lights, system lights and the like, lighting apparatuses providing beauty and safety, lighting control servers, lighting interfaces connecting sensors and wired / Terminal and the like, and provides an ICT-based automatic control lighting system that satisfies living convenience at the same time as energy saving of illumination electricity.

(Non-Patent Document 1) Kim Hoon, Lee Min Wook, IT convergence smart lighting technology, Journal of the Korean Institute of Communication Sciences, Vol. 28, No. 5 Pages 10-14, 2011. (Non-Patent Document 2) Information and Communication Industry Promotion Agency, Development Direction of Smart Emotion Lighting Based on M2M Technology, 2012.

However, in the conventional art as described above, a large amount of biometric data must be collected for training and parameters necessary for emotional recognition must be trained. Therefore, the reliability of the collected learning data greatly deteriorates the performance of the recognition system.

In addition, since the conventional emotional recognition system uses learning data expressed with exaggerated and directed emotions, it can not be regarded as a technique that best reflects emotions of a user. This is because it is easy to artificially acquire the learning data including emotion, and is one of the main factors that deteriorates the performance of the emotion recognition system in actual situations.

In addition, when the conventional emotional recognition system can not acquire all the desired biometric information, the emotion index lacks accuracy in calculating the emotional index, and thus it is impossible to automatically provide optimized illumination to the user.

SUMMARY OF THE INVENTION The present invention has been made in order to solve all the problems occurring in the prior art as described above, and it is an object of the present invention to provide a method and apparatus for detecting a user's environment based on biometric information (brain waves, electrocardiogram, pulse, Based on the analyzed emotional state, it automatically adjusts the brightness and color of lighting (especially LED lighting) to automatically provide optimized lighting to the user. And the like.

It is another object of the present invention to provide a bio-signal and environment change detection system which avoids emotional recognition using only a single bio-signal and utilizes a plurality of bio-signals in combination or additionally uses emotion measurement indexes such as voice and facial expressions, Friendly smart lighting control apparatus according to the present invention.

Another object of the present invention is to provide an emotional lighting control middleware system in a smart building based on existing research results that the color and illuminance of the LED illumination affects the emotion and the state of the human being, And to provide an environmentally friendly smart lighting control device according to a change in environment and a living body signal in which brightness and color of illumination are adjusted.

According to another aspect of the present invention, there is provided an environmentally friendly smart lighting control apparatus according to the present invention, comprising: living body and environment information acquisition means for acquiring biometric information and environment information of a user; A biometric information obtaining unit for obtaining a biometric information corresponding to the user's biorhythm based on the biometric information and the environment information acquired by the biometric information acquiring unit and generating a profile for LED illumination control according to the calculated emotion index, Output intelligent lighting management middleware; A master lighting controller for controlling the brightness and color of the LED lighting based on the lighting control data output from the intelligent lighting management middleware; And a slave lighting controller that adjusts the color and brightness of the lighting according to the lighting control data transmitted from the master lighting controller through communication.

The information acquiring unit may acquire information acquired through communication with the intelligent lighting management middleware. The intelligent lighting management middleware may include a living body information acquiring unit that acquires living body information and an environment sensor that acquires environment information, And direct transmission is performed.

The biological and environmental information acquisition means includes an information collection terminal for acquiring biological information and environment information in cooperation with the information acquisition unit and transmitting the acquired biological information and environmental information to the intelligent lighting management middleware do.

The information collecting terminal automatically controls the brightness and color of the LED lighting and then transmits the evaluation information inputted by the user to the intelligent lighting management middleware.

The information collecting terminal reads the emotion index, the biometric information, and the environment information through the illumination control application. The information collecting terminal directly controls the color and brightness of the LED light according to the operation through the key input device of the user, And transmits the adjustment data to the intelligent lighting management middleware.

The intelligent lighting management middleware calculates the emotion index for controlling the LED lighting emotion based on the biometric information and the environment information. When the biometric information and the environment information are not both obtained, the intelligent lighting management middleware compares the biometric information and the environment information, And a sensitivity index calculating unit for accurately calculating the sensitivity index.

The emotion index calculating unit sets the EEG and electrocardiogram as the first biometric information, sets the pulse as the second biometric information, sets the temperature / humidity / illuminance as the environment information, assigns coefficients to the respective information, and normalizes , And the emotion index is calculated by substituting the normalized data into the emotion index calculating function.

If only the second biometric information and the environment information are present, the emotional index calculating unit may calculate the second biometric information and the normalized coefficients of the collected biometric information, If only the first biometric information and the second environment information exist, the second biometric information data are 60% and 40% in the ratio of ECG and EEG, respectively. The second biometric information data and the normalized coefficient are calculated, and the emotion index is calculated by applying only the two pieces of environment information and the second biometric information to the emotion index calculating function instead of the first biometric information, The first biometric information and the second biometric information are substituted into the first and second biometric information, respectively, to calculate a sensitivity index. If both the first and second biometric information and the environment information are present, 1, the second biometric information data and the normalized coefficient, and substituting the first biometric information, the second biometric information, and the environment information into the sensitivity index calculating function to calculate the emotion index.

In the above, the master lighting controller is a constant voltage generator which receives a power supplied from a + 5V adapter or a slave lighting controller and supplies a constant voltage necessary for device operation inside the device; An illumination control data input unit for receiving illumination control data transmitted via Bluetooth from a smartphone application or illumination control data transmitted through a WI-FI from a dedicated programming U.I of a PC or a server; A display unit for displaying a set value of the amount and brightness of each LED color when operating the apparatus manually; An operating unit for selecting the amount and brightness of each LED color when operating the device manually; A main control unit for outputting a lighting control signal for controlling the COLOR and illuminance of the LED lamp according to the lighting control data input through the input unit or the setting value of the amount and brightness of the LED color set through the operation unit; And a communication unit for transmitting the lighting control signal transmitted from the main control unit to the slave lighting controller through communication.

The slave lighting controller may include a fuse that is disconnected when an overvoltage or an overcurrent flows to the input commercial power supply to protect the device. An input surge protector that protects the circuit when a momentary PEAK voltage is applied to the lightning or input using a varistor; (EMI FILTER) which suppresses the emission of electromagnetic (COD) noise and RFIATION noise generated in circuit operation by using L (Line Filter) and C (CAPACITOR); An inrush current protector which limits the instantaneous PEAK current at the time of initial power-on; A first rectifier for rectifying input power; POWER FACTOR CORRECTION to prevent input loss by matching the phase difference generated between voltage and current equally; A main switching unit (MAIN SWITCHING) for switching an input power source to obtain a desired output voltage; A transformer for inducing the primary side input power to the secondary side according to the switching of the main switching unit; A second rectifier for rectifying an output voltage of the transformer; A noise filter for removing the RIPPLE component of the DC voltage rectified by the second rectifier to generate a high-quality DC voltage; A constant voltage generator for converting an output voltage of the second rectifier into a constant voltage of a predetermined level to supply the constant voltage to the master lighting controller; A voltage detector for monitoring an output voltage output through the noise filter; An isolator for separating the primary and secondary of the transformer; An LED lamp serving as a lighting; A communication unit for receiving illumination control data transmitted by communication from the master lighting controller; A main control unit for controlling the drive voltage of the LED lamp according to the illumination control data received from the communication unit to adjust the color and intensity of the LED illumination; And an LED driver for driving the LED lamp based on a drive voltage control generated in the main control unit.

According to the present invention, an emotion state of a user is accurately analyzed based on biometric information (brain wave, electrocardiogram, pulse, etc.) and environmental information (temperature, illumination, humidity, It has the advantage of automatically adjusting brightness and color.

According to the present invention, there is also an advantage that it is possible to precisely judge emotion by utilizing a plurality of bio-signals in combination, or further using emotion measurement indexes such as voice and facial expressions, avoiding emotion recognition using only a single bio-signal.

In addition, according to the present invention, based on the existing research result that the color and the illuminance of the LED illumination affect the emotion and the state of the human being, the emotion lighting control middleware system in the smart building is used to automatically The brightness and the color of the image can be adjusted.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is an overall configuration diagram of an environmentally friendly smart lighting control apparatus according to a bio-signal and environment change according to a preferred embodiment of the present invention;
FIG. 2 is a block diagram of an embodiment of the master lighting controller of FIG. 1;
Fig. 3 is a block diagram of an embodiment of the slave lighting controller of Fig.
4 is a data format of the SHT11 sensor,
Fig. 5 is an example of a command code of the STH11 sensor, Fig.
Fig. 6 is a process diagram of an EEG data transmission /
7 is a flowchart illustrating an ECG data transmission / reception process,
FIG. 8 is an exemplary view of sensor data reception and definition of events,
FIG. 9 is a graph showing the corresponding emotional color table according to the biorhythm index,
10 shows frequency bands and status tables of waveforms of brain waves,
11 is a table of emotional index applied to a pulse,
12 is a graph showing the relationship between the discomfort index and the user state relationship,
13 is a diagram illustrating an exemplary process of normalizing and optimizing the emotion index,
14 is a diagram showing a corresponding color table using environmental information,
FIG. 15 is a graph showing a scale of emotion per color,
FIG. 16 is a diagram showing an emotional language example against a color emotion scale,
FIG. 17 is a diagram illustrating an emotional evaluation language for defining emotions,
FIG. 18 is a graph showing the relationship between the color temperature,
19 shows the CIE 1931 chromaticity coordinate system,
20 is an exemplary illustration of RGB values according to emotion index,
FIG. 21 is a graph showing RGB values corresponding to the color temperature,
22 is a schematic diagram of the emotion lighting control management middleware,
23 is an example of a design screen of an application, showing an example of personal information management and a room setting screen,
FIG. 24 is an exemplary main screen of an application for service control and management,
25A and 25B are application screens of an app, an example of browsing sensor information,
Figs. 26A and 26B show an example of a lighting control as an application design screen. Fig.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an environmentally friendly smart lighting control apparatus according to a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is an overall configuration diagram of an environmentally friendly smart lighting control apparatus according to a bio-signal and environment change according to a preferred embodiment of the present invention.

The environmentally friendly smart lighting control apparatus according to the present invention includes the living body and environment information acquiring means 10, the intelligent lighting management middleware 300, the master lighting controller 400 and the slave lighting controller 500 do.

The living body and environment information acquisition means 10 acquires biometric information and environment information of the user. The biological and environmental information acquiring means 10 acquires the EEG, ECG, pulse, EMG, skin conductivity, and skin temperature of a user as biometric information and obtains temperature, humidity, and illuminance as environmental information .

The biological and environmental information acquiring unit 10 includes an information acquiring unit 100 including a biological information sensor for acquiring biological information and an environmental sensor for acquiring environmental information, To the intelligent lighting management middleware.

In addition, the living body and environment information acquiring unit 10 acquires biometric information and environment information in cooperation with the information acquiring unit 100, and transmits the acquired biometric information and environment information to the intelligent lighting management middleware 300 And an information collecting terminal 200 for collecting information.

It is preferable that the information collecting terminal 200 automatically control the brightness and color of the LED lighting and then transmit the evaluation information inputted by the user to the intelligent lighting management middleware 300.

In addition, the information collecting terminal 200 reads the emotion index, biometric information, and environment information through the illumination control application, directly adjusts the color and brightness of the LED light according to the operation of the user through the key input device, Brightness control data to the intelligent lighting management middleware 300.

Here, the information collecting terminal 200 may serve as a remote controller, and a smart phone that collects living body and environment information by using an application for collecting living body and environment information can be used.

The intelligent lighting management middleware 300 calculates an emotion index corresponding to a user's biorhythm based on the biometric information and environment information collected from the biometric and environmental information acquiring means 10, Generates a profile for lighting control, and outputs lighting control data. This intelligent lighting management middleware is called a server.

For example, the intelligent lighting management middleware 300 may calculate and combine biometric and environmental data indexes, analyze personal biometric data patterns and environmental patterns according to migration paths, analyze personal preferences based on the analyzed results, And controls the illumination by generating a profile for lighting control.

The intelligent lighting management middleware 300 calculates the emotion index for controlling the LED lighting emotion based on the biometric information and the environment information. If the biometric information and the environment information can not be obtained, the biometric information and the environment information are mutually compatible And a sensitivity index calculating unit 320 for accurately calculating the sensitivity index.

The emotional index calculating unit 320 calculates an unpleasantness index and an emotional index for living body / environment data based on the living body information and the environment information, and calculates and fuses the index. And an environmental pattern analysis module for analyzing environmental patterns according to the movement path based on the environmental information.

The emotion index calculating unit 320 sets the brain waves and the electrocardiogram as the first biometric information, sets the pulse as the second biometric information, sets the temperature / humidity / illuminance as the environment information, It is preferable to calculate the emotion index by substituting the normalized data into the emotion index calculating function.

If only the second biometric information and the environment information are present, the emotional index calculating unit may calculate the sensed index calculating function by calculating data of the collected second biometric information and a normalized coefficient, (ECG) and EEG (EEG) are set to 60% and 40%, respectively, in the data of the collected second biometric information if only the first biometric information and the environment information exist. The second biometric information data and the normalized coefficient are calculated, and the emotion index is calculated by applying only the second environmental information and the second biometric information to the emotion index calculating function instead of the first biometric information, The emotional index is calculated by substituting environmental data for the first biometric information and the second biometric information in the emotional index calculating function, respectively, and if the first and second biometric information and the environment information are both present, And It is preferable to calculate the emotion index by calculating the second biometric information data and the normalized coefficient, substituting the first biometric information, the second biometric information, and the environment information into the sensitivity index calculating function, respectively.

The intelligent lighting management middleware 300 includes a personal database 310 for converting biometric information and environment information transmitted from the biometric and environmental information acquiring means 10 into a database, A personal taste analyzing and profile generating unit 330 for analyzing personal taste based on the emotion index and analysis result, generating a profile according to the personal taste analyzed, and generating and outputting illumination control data.

The master lighting controller 400 controls the brightness and color of the LED lighting based on the lighting control data output from the intelligent lighting management middleware 300.

2, the master lighting controller 400 receives the POWER transmitted from the + 5V adapter ADAPTER or the slave lighting controller 500, receives a constant voltage required for the operation of all the modules in the apparatus, An illumination control data input unit 402 for receiving illumination control data transmitted from a smartphone application via Bluetooth or illumination control data transmitted through a WI-FI from a dedicated programming UI of a PC or a server, A display unit 403 for displaying a set value of the amount and brightness of each LED color in operation, an operation unit 404 for selecting the amount and brightness of each LED color when the apparatus is operated by manual operation, And a lighting control signal for controlling the color and intensity of the LED lamp according to the control data or the setting value of the amount and brightness of the LED color set through the operation unit The main control unit 405 to power, and a communication unit 406 that transmits the illumination control signal transmitted from the main control unit 405 to the slave lighting controller 500 via the RS-485 communication.

The slave lighting controller 500 controls the color and brightness of the LED lighting according to the lighting control data transmitted from the master lighting controller 400 through communication.

As shown in FIG. 3, the slave lighting controller 500 uses a fuse 501 and a varistor, which are disconnected when an overvoltage or an overcurrent flows through the input commercial power source to protect the device. The slave lighting controller 500 generates an instantaneous PEAK voltage The input surge protector 502 which protects the circuit when it is applied, and L (LINE FILTER) and C (CAPACITOR) are used to prevent the electromagnetic (COD) noise and the radio- An inrush current protector 504 for limiting the instantaneous PEAK current generated at the time of initial power-on, a first rectifier 505 for rectifying the input power, (POWER FACTOR CORRECTION) 506 for preventing the input loss by matching the phase difference generated between the two currents and the current, and switching the input power source to obtain a desired output voltage A transformer 508 for converting the primary side input power to a secondary side according to the switching of the main switching unit 507, a second switching unit 507 for rectifying the output voltage of the transformer 508, A noise filter 510 for removing the RIPPLE component of the DC voltage rectified by the second rectifier 509 to generate a DC voltage of good quality, a rectifier 509 for rectifying the output voltage of the second rectifier 509 to a predetermined level A constant voltage generator 511 for generating a constant voltage and supplying the constant voltage to the master lighting controller 400, a voltage detector 512 for monitoring an output voltage output through the noise filter 510, A communication unit 514 for receiving illumination control data transmitted by communication from the master lighting controller 400; a communication unit 514 for receiving the illumination control data from the communication unit 514; According to one illumination control data, the LED lamp 5 A main control unit 515 for controlling the driving voltage of the LED lamp 517 by controlling the driving voltage of the LED lamp 517 based on the drive voltage control generated by the main control unit 515, Lt; RTI ID = 0.0 > 516 < / RTI >

The operation of the environmentally friendly smart lighting control apparatus according to the present invention will be described in detail as follows.

The present invention automatically controls smart LED lighting based on the emotions of users residing in specific spaces. And automatically detects a user's biorhythm and environment change to provide a lighting system optimized for the user. It is a technology that can control more than 100 LED lights at the same time by the life log analysis. It is an IT technology fusion technology that provides emotional lighting based on living body and environmental information. It is a high technology that can improve user convenience and quality of life It is an effective technique.

To this end, the information obtaining unit 100 of the living body and environment information obtaining means 10 obtains the biometric information and the environment information of the user and directly transmits the information to the intelligent lighting management middleware 300 or the information collecting device 200 .

Here, the bio-information acquires the electroencephalogram, electrocardiogram, pulse, skin conductivity, and skin temperature as an index for analyzing the emotion of the user. In the present invention, only the EEG, electrocardiogram and pulse are used among the obtained various pieces of bio-information, and it is preferable that the EEG, electrocardiogram and pulse are measured by adopting various known measuring devices as they are. In particular, QEEG-8 and QECG-3 products of "Laxa" can be used.

In addition, QEEG-8 can measure EEG at 8 sites at the same time, and it is possible to mark events during measurement, which can increase the reliability of measurement.

In addition, QECG-3 measures Lead I, II, and III electrocardiogram signals by standard limb induction method that attaches electrodes to both wrists and both ankles. It also has an advantage of measuring electrocardiogram have.

The environmental information acquires temperature, humidity, and illuminance as environmental information by using a temperature sensor, a humidity sensor, and an illuminance sensor. The environmental sensor can be used by adopting various known environmental sensors as it is, but the present inventor used HBE-ZigbeX II of "Hanbaek Electronics".

The acquired biometric information and environment information are transmitted to the intelligent lighting management middleware 300 or the information collecting terminal 200.

Here, it is possible to transmit and receive data obtained through various communications between the information obtaining unit 100 and the information collecting terminal 200.

For environmental sensors, temperature, humidity, and illumination data are acquired through ZigbeX equipment. ZigbeX consists of nine sink nodes, and each node consists of one root node and eight subnodes. In ZigbeX, the sensor for measuring temperature, humidity and illuminance is SHT11, which is directly connected to the CPU pin of the sensor motor. The SHT11 sensor itself includes an AD function that converts the measured value into a digital signal, and transmits the sensed data directly to the CPU.

4 is an example of the data format of the SHT11 sensor.

In order to read the sensing value measured from SHT11, a certain clock and command must be inputted through two lines connected to the CPU. Figure 4 shows the clock timing and command input method for receiving measured data from the sensor in the CPU. The CPU sends a bit-by-bit instruction to the SHT11 sensor via the data line and then obtains the actual sensing value. The data line reads the value only when the clock signal is HIGH, and the signal on the data line does not change. Before starting transmission, input a pulse to notify start of transmission, send address bit and command to SHT11, and read sensor data. The commands sent to the SHT11 chip are shown in FIG.

After sending the command, the CPU waits until the SHT11 sensor completes the humidity measurement. It takes about 55mx to obtain 12-bit humidity data. When the measurement is completed, SHT11 makes the data line LOW and transfers the data to the CPU. The CPU reads the 12-bit measured data through the data line, and then determines whether to transmit the ACK according to the content of the CRC error check field. If data can not be read at this time, the connection with SHT11 is updated through Reset. ZigbeX with SHT11 sensor transmits information about temperature, humidity, and illuminance measured at each sink node to 0 root node.

As a method of acquiring environmental sensor information through ZigbeX Mote, a network between the mote is constructed using the TreeRouting technique. The sink node (Mote 0) is specified as the root node, and the sink node collects the sensed data from each node (Mote). Through the serial communication, the sink node transmits the environmental sensor information to the server. Server can check environment data and set sensing period. Here, the server may be an information collecting terminal or an intelligent lighting management middleware.

Next, the EEG / ECG data transmission / reception method is as follows.

Biological signal data such as brain waves, electrocardiograms, and pulses are personalized data different from environmental sensors and are connected to wearable equipment via Bluetooth and are received by the information obtaining unit 100. Each piece of equipment connected to the information obtaining unit 100 via Bluetooth is transmitted to the information collector 200 or the server (intelligent lighting management middleware) for each cycle.

In the present invention, since QEEG-8 and QECG-3 measurement equipment are used for EEG and ECG data measurement, it is connected to a server or an information collector through TCP / IP.

In the case of EEG, 42 bytes are transmitted per packet with 8 channel data acquired from 8 electrodes. The sampling frequency should be 256 Hz and transmit 256 packets per second. As shown in FIG. 6, the data structure includes a 6-byte header for distinguishing EEG / ECG and an index of 1 to 256, and transmits raw data of 4 bytes per channel.

The received raw data is stored in a data queue divided by 2 seconds for real-time processing and emotion information inference. The 2-second buffer size is the smallest unit that can collect meaningful data through FFT. The 2-second raw data stored in the data queue is changed to the frequency domain by FFT for each channel, and then stored as the power value of the frequency band corresponding to theta, alpha, beta, and gamma through the power spectrum.

In the case of an electrocardiogram, signals acquired from three channels are transmitted by being divided into 20 bytes per packet. As shown in FIG. 7, the structure of the transmitted packet is composed of a 6-byte header, an index, and data indicating that the packet is an ECG signal.

The index is 2-byte data containing 1 to 256 indexes so that it can be synchronized with the time data of the electrocardiogram signal sampled at 256 Hz, and the raw data is composed of 4 bytes each of 3 channels. The electrocardiogram also transmits 256 packets per second. Unlike electroencephalogram, electrocardiogram signals do not divide the interval but observe the ratio of sympathetic / parasympathetic nerves that occur at the measured time.

First of all, to detect the Q, R, S waveform, which is one of the characteristics of electrocardiogram, the moving average filter smoothes the signal height. In order to detect a QRS signal, various methods are used. In the present invention, a positive peak and a negative peak are detected through slope detection and detected as signals of Q, R, and S, respectively. The R-R interval indicating the index distance between the R waveforms is extracted from the detected QRS signal, and the HRV of the R-R interval, which varies with time as shown in the lower left part of FIG. 7, is calculated. The heart beat variability is time series data of the heart rate of a user who changes over time, and information of sympathetic nerve and parasympathetic nerve can be acquired through FFT and spectrum analysis.

The pulse information is transmitted to the information acquisition unit 100 or the information collection terminal 200 connected from the smart band to the Bluetooth. The smart band used in the present invention is a Samsung Galaxy Gear, and communication between the smart band based on the Tezen OS and the smartphone based on the Android is required. The user's pulse information measured in the smart band is transmitted to the smartphone in real time through the Tethered Bluetooth API. The pulse information received by the smartphone is stored in the server through XML parsing. If you parse it according to the post form, the server will check the format and enter it into the DB.

The information collecting terminal 200 also transmits the biometric information and the environment information acquired by the information acquiring unit 100 to the intelligent lighting management middleware 300, which is a server. Here, the time of acquiring and transmitting the biometric information and the environment information by the biometric and environmental information acquiring means 10 can be set in a real time or a predetermined cycle. Since data communication occurs too frequently in real-time, it can be said that there are many ways to set up a period that can transmit sensibility sufficiently and occur periodically. However, when operating in a method of transmitting acquisition information periodically, it is preferable to acquire information in real time, but to transmit information at the time of occurrence of an event when an event occurs (when biometric information or environment information has changed in comparison with previous ones).

Next, the intelligent lighting management middleware 300 registers the biometric information and environment information transmitted from the biometric and environmental information acquiring means 10 in the personal database 310. [ Herein, when biometric information and environment information are registered in the personal database 310, it is assumed that unique information for identifying the terminal is given.

Therefore, when registering the biometric information and the environment information in the personal database 310, it is possible to calculate the emotion index for each user by registering the unique information on the basis of the unique information.

The emotion index calculating unit 320 of the intelligent light management middleware 300 calculates the emotion index of the living body / environment data based on the biometric information and the environment information stored in the personal database 310, And calculates illumination control data for controlling the LED illumination with the corresponding color and brightness.

For the emotion classification, representative color elements are selected based on the 20 color emotion models set in "The Meaning of Color" of HP (Hewlett-Packard), and emotion is classified into five according to the biorhythm index as shown in FIG. 9 And apply it to the emotion index calculation algorithm.

In addition, EEG and electrocardiogram data are calculated as bio-rhythm index by analyzing complex bio-signals.

In the case of brain waves, the ratio of each waveform corresponding to delta, alpha, beta, and gamma is referred to as relative power and is used as an index for determining the emotional state of the user. 10 shows frequency bands and states of the respective waveforms.

In the case of an electrocardiogram, waveforms having characteristics corresponding to P, Q, R, S, and T are repeated. Here, R means the highest peak value of the electrocardiogram waveform, and the period of the R peak means the pulse of the user.

The R peak period of an electrocardiogram can be expressed by time series data called HRV (Heart Rate Variability). HRV of 0.004-0.15 Hz is an index of activity of sympathetic nerves, and 0.15-0.4 Hz is an index of activity of parasympathetic nerves.

In the present invention, the ratio of the sympathetic nerve to the parasympathetic nerve in the electrocardiogram is used as the characteristic data for analyzing the complex bio-signal together with the EEG relative power. In addition, the pulse detected by the electrocardiogram can be used as an auxiliary index for calculating the vital rhythm index, thereby improving the reliability of the combined bio signal.

The information for extracting the emotion index consists of a bio signal 1 (brain wave / electrocardiogram), a bio signal 2 (pulse), and environmental information (temperature / humidity / illuminance). It compiles the three kinds of information, deduces the emotion index of the user, and provides the necessary lighting for the user.

The reception daemon of the intelligent light management middleware 300 receives the biometric signal 1, the biometric signal 2, and the environment sensor data from time to time. If environmental sensor data with the most frequent acquisition period is received, a new event is generated. When the environmental sensor data is acquired, the sensor event checks the received data. Assigns the data of the sensor input to each sensor tuple stored in Boo format as True. When the environmental data sensor is acquired for the first time, new event numbers are added with the illumination (e_ILLU), temperature (e_Humi), humidity (e_Tempo)

(E_EEG), an electrocardiogram (e_ECG), a heartbeat (e_ECG) corresponding to the current event number in the SensorEvent, and a heartbeat signal corresponding to the current event number in the SensorEvent when the biosignal data such as ECG, EEG, (e_pulse) Input signal of tuple is changed to True.

The reason for distinguishing and inspecting the data coming in through the event number is to extract the emotion and control the lighting even if there is a missing signal among the three pieces of information. For example, if you have four environmental sensors in Room 1 and you do not have any users in them, or if you are wearing only a pulse sensor, check the event number and cycle to provide the appropriate lighting control.

The bio-signals input to the reception daemon are refined as information for emotional index extraction through a preprocessing process corresponding to each signal.

For example, the bio-signal 1 (brain wave / electrocardiogram) data generation is as follows.

In the case of EEG, the power spectrum of the theta (4 ~ 8Hz), SMR (12 ~ 15Hz) and mid beta (15 ~ 20Hz) are extracted through the FFT . Generally, theta is high in activities such as sleeping and meditation, and SMR and mid-beta waves are high in excitement and arousal. Therefore, in the present invention, the awakening state of the brain wave is analyzed through the following expression (1).

As can be seen from the above equation (1), the degree of awakening is calculated by calculating the ratios of the non-arousal state and the awake state waveform of the EEG.

In case of electrocardiogram, Q, R and S characteristics of electrocardiogram are detected by Moving Average Filter and QRS Detection in received data. Peak value detection for Q, R, S feature detection is calculated using the following equation (2).

R peak is converted into time series information HRV composed of time difference and accumulation time through the following Equation (3).

HRV is converted to power values of sympathetic nerve (LF: 0.04 to 0.15 Hz) and parasympathetic nerve (HF: 0.15 to 0.4 Hz) by FFT and power spectrum analysis like brain waves.

The sympathetic nerves and parasympathetic nerves normally appear to be slightly active at a ratio of 6: 4 to the parasympathetic nerves during normal activities.

Therefore, in the present invention, the emotional state of the user is classified as pleasant or unpleasant through the autonomic nervous system ratio (LF / HF). In the general experiment, the ratio of autonomic nervous system was about 1.5, and it was 2.5 in fear, angry, and dislike.

The electroencephalogram (ECG) complex electrocardiogram is calculated as one of the three emotion indexes, and since the reliability of the sympathetic nerve and the parasympathetic nerve ratio of the electrocardiogram is higher in a state of awakening, Likewise, define ECG and EEG signals.

In the case of pulse data, the emotion information of the user is inferred through the average value of the rate of change in the event number cycle. 11 shows the bio-signal index for the pulse average value and the inferential emotion of the user.

Finally, the data input from the environmental sensor is an index that can calculate the discomfort index of the current space.

The discomfort index is a combination of temperature and humidity that expresses the temperature felt by humans. It is also referred to as the Temperature and Humidity Index (THI), and the degree of discomfort depending on the discomfort index value varies slightly depending on the individual However, since the degree of comfort of the indoor environment can be known, it affects the emotion of the user.

Environmental sensor can acquire data of temperature, humidity, and illuminance, but discomfort index uses sensor temperature and humidity information. In case of illuminance, it is used to check illuminance and color temperature of output LED illumination. The discomfort index is calculated by the following equation (5).

Where T is the temperature (° C) and RH is the humidity (%).

The range corresponding to the value of the discomfort index and the comfortable state are shown in Fig.

The three indices are normalized and expressed as a percentage to provide the user with appropriate illumination through the bio-signal 1, bio-signal 2, and environmental data. For normalization, each data should be given a coefficient and emotion index should be calculated. At this time, the coefficient for each signal is consistently indexed and adjusted by user's evaluation and feedback, and as the training is repeated, a customized profile suitable for the user is generated. The normalization and optimization process of the emotion index is shown in FIG.

The feature of the present invention is that the emotion index calculating unit 320 calculates the emotion index for the LED illumination emotion control based on the biometric information and the environment information, Information and environmental information are compatible with each other, so that the emotion index can be accurately calculated.

For example, the emotion index calculating unit 320 sets the brain waves and the electrocardiogram as the first biometric information, sets the pulse as the second biometric information, sets the temperature / humidity / illuminance as the environment information, And assigns the normalized data to the emotional index calculating function to calculate the emotional index. Here, coefficients for normalization are given as first biometric information = 30%, second biometric information = 30%, and environment information = 40%.

If only the second biometric information and the environment information are present at the time of calculating the emotional index, the data of the collected second biometric information and the normalized coefficients are calculated, and the environment information of the second biometric information, The emotion index is calculated by applying only biometric information.

If only the first biometric information and the second environment information exist, the second biometric information data are set to 60% and 40% in the ratio of the electrocardiogram (ECG) and the brain wave (EEG) The emotion index is calculated by applying only the second environmental information and the second biometric information instead of the first biometric information to the emotion index calculating function.

If there is only environmental information, the emotion index is calculated by substituting the collected environmental data for the first biometric information and the second biometric information, and substituting the three environmental information into the emotion index calculating function.

Finally, if both of the first and second biometric information and the environment information exist, the first and second biometric information data and the normalized coefficient are calculated, and the first biometric information, the second biometric information, The emotion index is calculated by substituting the information.

When the emotion index is calculated in this way, even when both of the two pieces of biometric information and the three pieces of environment information can not be acquired, the accurate emotion index can always be calculated.

On the other hand, the personal taste analysis and profile analysis unit 330 analyzes the biometric data pattern based on the acquired individual biometric information. The biometric data pattern is a pattern for determining the biorhythm. For example, we analyze how the biorhythms change. In addition, the personal taste analysis and profile analysis unit 330 analyzes a pattern of environmental information based on the acquired environment information of the corresponding space. For example, it analyzes what kind of pattern the environmental information is changed to.

Then, the personal taste analysis and profile generation unit 330 analyzes personal taste based on the calculated emotion index, discomfort index, biometric data pattern analysis result, and environment pattern analysis result, And generates and outputs illumination control data.

Here, when creating a profile according to personal preference, an LED color temperature database linked to emotion index and discomfort index by sex / age group of the user is constructed, and optimal environment information is automatically derived using mining technology for the accumulated data And calculates corresponding LED lighting data and transmits it to the master lighting controller 400.

14 is an example of a corresponding color using environmental information.

For example, the personal taste analysis and profile generation unit 330 may generate the bio-data 1 (electroencephalogram, electrocardiogram) / biometrics data 2 (pulse) / environment data (temperature, humidity, illumination) Based on which the biorhythm and environmental indexes are measured.

Next, the final emotion index based on the living body and environment data is derived and the LED color is controlled through this.

The emotion index deduced from the three kinds of data can be defined as the color of the illumination required by the user.

First, the emotion should be evaluated to define the lighting color by emotion index. Using the color image scale and the adjective image scale, which are studied in the field of sensibility engineering, we can see how emotions and colors match the general user.

There are image scales that use X, Y coordinates to measure and display a specific image of each color. In order to determine what factors are in the X and Y axes of the coordinates for measuring the degree of image, it is first necessary to identify the factors that are most important to the image evaluation.

FIG. 15 shows that the static-dynamic image represents the X-axis and the Y-axis represents the soft-hard image. This image scale is a metric concept made on the assumption that the entire interior of a color image can be seen in its internal space.

Figure 16 is a measure of the emotional language listed for each color sensitivity scale. X-axis Dynamic - In static speech, Y-axis can simulate colors that match human emotions through soft, hard image languages.

If you match two scales, you can see that the overall color is mostly on the soft side and the one color on the hard side. However, it can be seen that the tone is a soft, static image with a light tone, a dark tone with a dynamic and rigid image, a quiet tone with a static and rigid image, and a brilliant tone with a dynamic and smooth image.

In other words, it can be seen that tone rather than color is a more important variable in changing the detailed sensitivity. Accordingly, the present invention proposes an algorithm for defining the color temperature to be compared with each emotion language and converting it into an RGB value so that it can be reflected in the LED illumination, in order to increase the reliability of the color sensibility and the matching color of the emotional language.

In the present invention, the emotional language used to define the emotion of the user is selected from among the languages defined in FIG. 16, as shown in FIG. 17, by deleting the overlapped languages and generally speaking to the user.

In addition, selected emotional languages can be classified into activity, stability, and competence. For example, a language such as refreshing - unpleasant, vivid - blurred can be defined as a factor of activity and is warm - cool, comfortable - anxious language is a factor for stability - Languages such as silver, glittering, and brilliant can be defined as factors.

The color temperature for evaluating the selected languages is 8300 [K]> 5800 [K]> 3800 [K] for the active factors, which were previously studied with illumination of 3800 [K], 5800 [ , 8300 [K] in the order of 3800 [K], 5800 [K] and 8300 [K] in the stable factors.

Therefore, in the present invention, the appropriate color temperature is defined as shown in FIG. 18 based on the user's active emotions and depressed emotions by applying the results of color temperature and emotion evaluation that have been studied previously. For example, define a way to provide low and cool 3800 [K] lighting for an awakened, overactive sensation, and 8300 [K] for a bright and shiny sensation.

The color temperature is a numerical value of the color of a light source, which means the color represented by a black body when heat is applied to an ideal black body. Therefore, in order to be applied to LED lighting, the color temperature must be converted into the RGB value.

First, it is converted into x, y coordinates of the chromaticity coordinate system of CIE 1931 as shown in Fig. 19 corresponding to the color temperature.

(X, y) of the chromaticity coordinate system into the CIE XYZ color space through the following expression (6).

The CIE XYZ color space is converted into the CIE RGB color space using Equation (7) below.

The RGB values of 8300 [K] to 3800 [K] color temperature defined through substitution in the CIE 1931 chromaticity coordinate system are shown in FIG. 20, and FIG. 21 is a distribution diagram of RGB values corresponding to the color temperature.

The intelligent lighting management middleware for calculating such illumination data (illumination brightness and color) is shown in Fig.

The intelligent lighting management middleware 300 shown in FIG. 22 is developed for personalization and emotional lighting control of each user in a multi-environment environment. As the input data of the middleware, a sensor device for acquiring emotion information (biometric information) and environmental information of the user is used as well known.

First, emotion information (biometric information) includes an EEG device and a bio-signal based sensor device, and environmental information includes environmental sensors such as temperature, humidity, and illumination. The middleware collects biometric information and environmental information to calculate the user's emotional index based on the biorhythm index / discomfort index, and ultimately realizes the illumination as a color corresponding to the emotional response.

For example, biometric and environmental stream data acquired in real time is refined through a metadata extractor, and the refined data is stored in a user metadata registry and an emotion data warehouse. Then, the user's emotional state and environment are sorted by multi-level reasoning based on the bio-signals and the personal IDs separated by the wearable device, and a personalization profile is constructed based on the extracted information, Thereby automatically determining the color temperature and the illuminance. Then, the optimal color temperature / illumination information automatically determined by the middleware is transmitted to the master lighting controller 400 through the wireless communication.

The master lighting controller 400 controls the brightness and color of the LED lighting based on the lighting control data output from the intelligent lighting management middleware 300.

2, the master lighting controller 400 receives the + 5V adapter ADAPTER from the constant voltage device 401 or the POWER (+ 5V) signal transmitted from the slave lighting controller 500, It supplies the constant voltage necessary for the operation of all modules. The input unit 402 receives the illumination control data transmitted through the Bluetooth from the smartphone application or the illumination control data transmitted through the WI-FI from the dedicated programming UI of the PC or the server (intelligent light management middleware) ).

When operating the lighting manually, the display unit 403 displays a set value of the amount and brightness of each LED color, and the user selects the amount and brightness of each LED color through the operation unit 404.

Then, the main control unit 405 controls the color and intensity of the LED lamp according to the illumination control data inputted through the input unit 402 or the setting value of the amount and brightness of the LED color set through the operation unit 404 And outputs a control signal.

The illumination control signal thus outputted is transmitted to the slave lighting controller 500 through the RS-485 communication through the communication unit 406. [

The slave lighting controller 500 adjusts the color and brightness of the LED lighting according to the lighting control data transmitted from the master lighting controller 400 through communication.

For example, as shown in FIG. 3, the slave lighting controller 500 is disconnected when the overvoltage and the overcurrent flow to the input commercial power source to protect the device. The voltage across the fuse 501 is passed to the input surge protector 502 which uses a varistor to protect the circuit when an instantaneous PEAK voltage is applied to the lightning or input.

Next, the electromagnetic wave filter 503 uses L (Line Filter) and C (CAPACITOR) to suppress electromagnetic (RF) and radio frequency (RF) noise generated during circuit operation from being emitted to the outside And the inrush current protector 504 limits the instantaneous PEAK current at the initial power-up.

The first rectifier 505 rectifies the power that has passed through the inrush current protector 504 and the power factor compensator 506 prevents the input loss by matching the phase difference generated between the voltage and the current.

Next, the main switching unit 507 switches the input power source to obtain a desired output voltage under the control of the main control unit 515, and the transformer 507 switches 1 And outputs the secondary side input power to the secondary side.

The second rectifier 509 rectifies the output voltage of the transformer 508 and the noise filter 510 removes the RIPPLE component of the DC voltage rectified by the second rectifier 509, .

Next, the constant voltage generator 511 supplies the output voltage of the second rectifier 509 to a constant voltage of a predetermined level to supply the voltage to the master lighting controller 400. In addition, the voltage detector 512 monitors the output voltage output through the noise filter 510 and transmits the monitored output voltage to the main control unit 515. The isolator 513 isolates the primary and secondary of the transformer 507 to provide insulation.

The communication unit 514 receives the illumination control data transmitted through the communication from the master lighting controller 400 and transmits the received illumination control data to the main control unit 515. The main control unit 515 controls the communication unit 514, And controls the DRIVE voltage of the LED lamp 517 according to the illumination control data received from the LED driver 517 to adjust the color and illumination of the LED illumination.

The LED driver 516 implements the driving of the LED lamp 517 based on the drive voltage control generated in the main control unit 515 and the brightness and color of the LED corresponding to the emotion index.

On the other hand, even when most wearable devices provide only Bluetooth communication or wearable devices equipped with some WCDMA chips, the storage space is extremely narrow. Therefore, biometric signal data acquired in real time can be stored in a smart phone owned by the user There is a need.

For this, biometric information acquired from the wearable device via Bluetooth / Wi-Fi / WCDMA and environment information acquired through Bluetooth / Wi-Fi are collected / refilled / temporarily stored, and biometric / environmental information is transmitted to the intelligent lighting management middleware 300 ). Accordingly, it is possible to integrate the "user personal information setting and management application" in the intelligent information collecting terminal 200 to provide the user with information related to the lighting, including the emotion index / lighting status, (300). Here, the user's personal information setting and management application stores and manages the user's movement path and sensor information embedded in the smart phone in the form of a lifelog, and transmits the information to the intelligent lighting management middleware. It is also desirable to implement a function that allows the user to manage and verify his / her personal information.

In addition, the user can directly control the lighting system in consideration of the user's situation and convenience. That is, the user can easily control the lighting through the smart device application. In this case, the information collecting terminal 200, which is a smart phone, acts as a remote controller, and controls the lighting directly using the information collecting terminal 200.

23 is an illustration of a main design screen of the personal information setting and management application. Users view and modify the installation location and personal information of the lighting through the personal information configuration and management app.

24 is an example of a main screen of an application developed for service control and management. The user realizes services such as lighting registration, lighting control, emotional lighting, and gear interlocking for emotional control through an app developed for service control and management.

25A and 25B are examples of an environmental information browsing function corresponding to acquired biometric information browsing corresponding to the acquired electrocardiogram, brain waves, pulse, temperature, humidity, and illuminance.

Here, the function of reading sensor information is as follows.

Current environmental / biometric information, current environment / biometric information display, final measurement date and time display, confirmation of past environmental information (click on environment information item -> graph by item), confirmation of past biometric information (click on biometric information item -> item Graph).

It can receive data on heartbeat, brain waves, electrocardiogram, temperature, humidity, and illumination in real time, and it can be applied to emotional lighting as well as sensing data as well as emotion index derived from data.

26A and 26B show the adjustment function of the user to adjust the color and brightness of the LED light.

The brightness of the LED illumination can be adjusted in 5 steps, and the color can be adjusted by manually entering R, G, B values. Also, if you are not comfortable adjusting the color, you can easily set the color by opening the color table.

At this time, brightness control of LED lighting basically controls Red LED, Blue LED and Green LED to produce various colors. In addition, Warm White LED, Cool White LED and Amber LED are added to adjust the brightness of the whole lighting . Each LED is individually controllable and can have different resolution depending on the characteristics of each LED. In order to eliminate flickering, the repetition period of the PWM signal applied to the illumination can be adjusted, and the repetition period of the PWM signal applied to the illumination can be adjusted in consideration of different characteristics of each LED chip. The brightness is controlled in consideration of the nonlinear characteristics of the forward voltage and the forward current of the LED. The brightness can be adjusted by modulating the voltage on / off while keeping the current supply of the current source constant. It is also possible to adjust the brightness by the current while keeping the voltage supply of the voltage source constant.

Although the present invention has been described in detail with reference to the above embodiments, it is needless to say that the present invention is not limited to the above-described embodiments, and various modifications may be made without departing from the spirit of the present invention.

The present invention is applied to a technology for inferring the emotion index using biometric information and environment information, and automatically adjusting the brightness and color of the LED illumination based on the emotion index.

10: Means for acquiring biological and environmental information
100: Information obtaining unit
200: information collecting terminal
300: Intelligent lighting management middleware
310: Personal Database
320: Emotion index calculating unit
330: Personal taste analysis and profile generation unit
400: master lighting controller
500: Slave Lighting Controller

Claims (10)

An apparatus for automatically adjusting brightness and color of illumination according to a biological signal and an environmental change,
Biological and environmental information acquisition means for acquiring biometric information and environment information of a user;
A biometric information obtaining unit for obtaining a biometric information corresponding to the user's biorhythm based on the biometric information and the environment information acquired by the biometric information acquiring unit and generating a profile for LED illumination control according to the calculated emotion index, Output intelligent lighting management middleware;
A master lighting controller for controlling the brightness and color of the LED lighting based on the lighting control data output from the intelligent lighting management middleware; And
And a slave lighting controller that adjusts the color and brightness of the lighting according to the lighting control data transmitted from the master lighting controller through communication,
The intelligent lighting management middleware calculates the emotion index for controlling the LED lighting emotion based on the biometric information and the environment information. If the biometric information and the environment information can not be obtained, the intelligent lighting management middleware intercommunicates the biometric information and the environment information, An emotion index calculating unit for accurately calculating the emotion index; The personal taste is analyzed on the basis of the calculated emotion index and discomfort index of the sex / age range of the user, the biometric data pattern analysis result and the environment pattern analysis result, and the profile is generated according to the personal taste analyzed. And a personal taste analysis and profile generation unit for generating and outputting a personal taste analysis result,
Wherein the emotion index calculating unit sets the EEG and electrocardiogram as the first biometric information, sets the pulse as the second biometric information, sets the temperature / humidity / illuminance as the environment information, assigns the coefficients to the respective information, The emotion index is calculated by substituting the normalized data into the emotion index calculating function,
If only the second biometric information and the environment information exist, the data of the collected second biometric information and the normalized coefficient are calculated, and only two pieces of environment information and second biometric information are applied to the sensitivity index calculating function instead of the first biometric information (ECG) and EEG (EEG) are set to 60% and 40%, respectively, in the data of the collected second biometric information when only the first biometric information and the environment information exist, The biometric information data and the normalized coefficient are calculated and the emotional index is calculated by applying only the two environmental information and the second biometric information to the emotion index calculating function instead of the first biometric information. The first and second biometric information and the second biometric information are substituted into the sensitivity index calculation function to calculate the sensitivity index. If both of the first and second biometric information and the environment information are present, Information And calculating an emotion index by substituting the first biometric information, the second biometric information, and the environment information into the emotion index calculating function, and calculating an emotion index using the eco-friendly smart lighting control Device.
The information processing apparatus according to claim 1, wherein the biological and environmental information obtaining means includes an information obtaining unit including a biological information sensor for obtaining biological information and an environmental sensor for obtaining environmental information, And transmits it directly to the lighting management middleware.
The intelligent lighting management middleware according to claim 2, wherein the living body and environment information acquiring means includes an information collecting terminal for acquiring biometric information and environment information in cooperation with the information acquiring unit and transmitting the acquired biometric information and environment information to the intelligent lighting management middleware And the environment-friendly smart lighting control device according to the environment change.
The intelligent lighting management middleware according to claim 3, wherein the information collecting terminal automatically controls the brightness and color of the LED illumination, and then transmits the evaluation information input from the user to the intelligent lighting management middleware. Lighting control device.
The information collecting terminal reads the emotion index, the biometric information, and the environment information through the illumination control application, directly adjusts the color and brightness of the LED illumination according to the operation of the user through the key input device, And transmits the color and brightness adjustment data to the intelligent lighting management middleware.
delete delete delete The master lighting controller of claim 1, wherein the master lighting controller comprises: a constant voltage generator for receiving a power supplied from a + 5V adapter or a slave lighting controller and supplying a constant voltage necessary for device operation inside the device; An illumination control data input unit for receiving illumination control data transmitted from a smartphone application through Bluetooth or illumination control data transmitted through a WI-FI from a dedicated programming UI of a PC or a server; A display unit for displaying a set value of the amount and brightness of each LED color when operating the apparatus manually; An operating unit for selecting the amount and brightness of each LED color when operating the device manually; A main control unit for outputting a lighting control signal for controlling the COLOR and illuminance of the LED lamp according to the lighting control data input through the input unit or the setting value of the amount and brightness of the LED color set through the operation unit; And a communication unit for transmitting the illumination control signal transmitted from the main control unit to the slave lighting controller through communication.
The slave lighting controller according to claim 1, further comprising: a fuse that is disconnected when an overvoltage and an overcurrent flow to the input commercial power source to protect the device; An input surge protector that protects the circuit when a momentary PEAK voltage is applied to the lightning or input using a varistor; (EMI FILTER) which suppresses the emission of electromagnetic (COD) noise and RFIATION noise generated in circuit operation by using L (Line Filter) and C (CAPACITOR); An inrush current protector which limits the instantaneous PEAK current at the time of initial power-on; A first rectifier for rectifying input power; POWER FACTOR CORRECTION to prevent input loss by matching the phase difference generated between voltage and current equally; A main switching unit (MAIN SWITCHING) for switching an input power source to obtain a desired output voltage; A transformer for inducing the primary side input power to the secondary side according to the switching of the main switching unit; A second rectifier for rectifying an output voltage of the transformer; A noise filter for removing the RIPPLE component of the DC voltage rectified by the second rectifier to generate a high-quality DC voltage; A constant voltage generator for converting an output voltage of the second rectifier into a constant voltage of a predetermined level to supply the constant voltage to the master lighting controller; A voltage detector for monitoring an output voltage output through the noise filter; An isolator for separating the primary and secondary of the transformer; An LED lamp serving as a lighting; A communication unit for receiving illumination control data transmitted by communication from the master lighting controller; A main control unit for controlling the drive voltage of the LED lamp according to the illumination control data received from the communication unit to adjust the color and intensity of the LED illumination; And an LED driver for driving the LED lamp based on drive voltage control generated in the main control unit.

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