KR20200113796A - Energy Management System of Building Smart Lighting - Google Patents

Abstract

The present invention relates to a system for managing building smart lighting energy, which can diagnose a failure state of a smart lighting device deriving unit and a smart lighting controller through a bidirectional communication when lighting is controlled, and provide a user with power consumption, failure information, and usage amount predicting information on smart lighting through a web. The system of the present invention comprises: a lighting control terminal for executing lighting control on a web by using a smart lighting control application, and receiving a service for lighting-related information by using the smart lighting control application; a lighting information web service unit connected to the lighting control terminal by the web via a network and providing, to the lighting control terminal, the lighting-related information on a smart lighting device by being interlocked with the network in accordance with a lighting control command of the lighting control terminal; and a smart lighting device for diagnosing the occurrence of a failure of a device through a bidirectional communication between devices in the smart lighting device when a user controls lighting, storing information on the occurrence of the failure, predicting power consumption of lighting and the lighting usage amount and storing the same, and transmitting the stored lighting-related information by being interlocked with the lighting information web service unit on the web.

Description

Energy Management System of Building Smart Lighting

The present invention relates to a smart lighting energy management system for buildings, and in particular, diagnoses the fault condition of a smart lighting device driving unit and a smart lighting controller through two-way communication during lighting control, and provides power consumption, failure information, and usage prediction information of smart lighting on the web. It relates to a building smart lighting energy management system that can be provided to the user through the.

Emotional ICT technology is a micro/ultra-precision sensor technology capable of sensing bio-signals, environment/situation signals, video signals, and audio signals, etc., which appear by the activities of the autonomic nervous system due to changes in human emotions in daily life, and sensed bio-signals. It is a technology that processes and analyzes environmental signals, recognizes, verifies, and standardizes human emotions based on this, and processes information according to usage conditions to provide products and services tailored to emotions.

Among the various related fields currently being researched, LED emotional lighting (also called smart lighting) can maximize the energy saving effect of LED lighting and further provide an effect that responds to human emotions. Reflecting this trend, advanced foreign companies are already developing eco-friendly LEDs, and Korea is also rapidly responding to changes in the market.

Domestic lighting control technology is a system technology that centrally controls lighting, a technology that detects and controls the human body from a sensor, on/off and dimming control technology, and flicker control technology, etc., but ICT-based smart lighting control system technology is still in progress. The level is insufficient.

Overseas, we are developing IoT technology that controls home appliances or lighting using Wi-Fi and low-power Bluetooth, and we are promoting the development of technologies that link with various wearable devices such as Google glasses, watches, and clothes.

As is well known, the previous lighting was a concept of manual lighting that used it as it was because the user could not determine the required brightness, on/off control, and dimming actions by himself or change the initial setting value of the installed lighting equipment. . On the other hand, ICT-based smart lighting is a concept of active lighting. It is a new concept that detects the user's movement and environmental characteristics in the space that needs lighting, and automatically creates lighting suitable for the situation and event to create not only the unique function of the lighting, but also various lighting environments and functions by itself. It is a lighting system.

The development of the smart lighting system began in earnest when a new light source called LED was applied as general lighting. LED can be dimmed to within 1% of the maximum luminous intensity by reducing the driving current, and energy consumption and light source life are not shortened according to On/Off operation, so the conventional lighting used for fluorescent lamps, discharge lamps, etc. It is more advantageous in terms of control compared to the light source of light source, and the speed of turning on and off is very fast. In addition, since the size of the light source is very small, the degree of freedom in design for the lighting equipment is high, and since it does not use gas or filament, it has the advantage of less environmental pollution.

Such a smart lighting system includes a power consumption measurement module (eg, a power meter) that measures power consumption by hardware, and it is also possible to measure and provide power consumption.

The prior art for IT convergence smart lighting is disclosed in the following <Non-Patent Document 1> to <Non-Patent Document 2>.

The prior art disclosed in <Non-Patent Document 1> is based on knowledge of the relationship between lighting and various factors such as environment, human behavior, emotion, physiology, architecture, etc., and various technologies such as LED, IT, optics, design, sensor, IC It provides a lighting system configured to reflect sensibility, pursue convenience in life, and save energy by reflecting TPO (Time, Place, Occasion).

In addition, the prior art disclosed in <Non-Patent Document 2> includes lighting such as fluorescent lamps, LED dimming lighting, and system lighting, lighting equipment providing aesthetics and safety, lighting control server, lighting interface connecting wired/wireless communication with sensors, lighting control Consisting of terminals, etc., it provides an ICT-based automatic control lighting system that satisfies the convenience of living while saving energy of lighting electricity.

(Non-Patent Document 1) Hoon Kim, Minwook Lee, IT Convergence Smart Lighting Technology, Journal of Korea Communications Society, Vol. 28, No.5 Pages 10-14, 2011. (Non-Patent Document 2) Information and Communication Industry Promotion Agency, M2M technology-based smart emotional lighting development direction, 2012.

However, in the conventional smart lighting system as described above, it is possible to implement emotional lighting or dimming through various lighting color temperatures, but it is impossible to diagnose the fault condition of the smart lighting device driver or the smart lighting controller through self-diagnosis. However, it is also impossible to predict lighting usage or provide information on lighting failures.

Accordingly, the present invention has been proposed to solve all the problems occurring in the prior art as described above, and diagnoses the fault condition of the smart lighting device driver and the smart lighting controller through two-way communication during lighting control, and the power consumption of smart lighting and Its purpose is to provide a building smart lighting energy management system that can provide failure information and usage prediction information to users through the web.

In order to achieve the above object, the smart lighting energy management system for buildings according to the present invention executes lighting control on the web using a smart lighting control application, and provides lighting-related information using the smart lighting control application. Receiving lighting control terminal; A lighting information web service unit connected to the lighting control terminal through a web through a network, and providing lighting-related information of a smart lighting device to the lighting control terminal by interworking with a network according to a lighting control command of the lighting control terminal; When controlling the user's lighting, it diagnoses whether there is a malfunction of the equipment through two-way communication between the equipment in the smart lighting device, stores information about the malfunction, predicts and stores the power consumption and lighting usage of the lighting, and stores the lighting information web service. It characterized in that it comprises a smart lighting device that transmits the stored lighting-related information by linking over the web.

In the above, the smart lighting device transmits lighting control data according to the user's request to the smart lighting controller through two-way communication, diagnoses the presence of a fault in the smart lighting controller based on the response of the smart lighting controller, and illuminates the diagnosis result. A lighting control unit that stores the communication database; When the lighting control data is transmitted from the lighting control unit, the lighting control data is transmitted to the smart lighting device driving unit through two-way communication with the smart lighting device driving unit driving the smart lighting, and whether or not the smart lighting device driving unit is responding. It characterized in that it comprises a smart lighting controller for diagnosing the presence or absence of a failure of the smart lighting device driving unit on the basis, and storing the diagnosis result in the lighting communication database.

In the above, the smart lighting controller includes a lighting control module for controlling the lighting of the smart lighting on or off based on the lighting control data; A lighting dimming module for controlling dimming of smart lighting based on the lighting control data; It characterized in that it comprises a power consumption measurement module for measuring power consumption in real time using a preset power consumption measurement software when dimming the smart lighting.

In addition, the smart lighting controller includes a lighting fault information registration module for registering fault information of the smart lighting device driver obtained through bidirectional communication with the smart lighting device driver in the lighting communication database; It characterized in that it further comprises a lighting usage prediction module for predicting the lighting usage using the lighting control data and the measured power consumption.

In the above, the smart lighting device is characterized in that it further comprises a smart lighting device driving unit for controlling the turning on or off, dimming of the smart lighting based on the lighting control information generated from the smart lighting controller.

In the above, the lighting information web service unit is connected to the lighting control terminal via a web, a lighting power consumption providing module for extracting the lighting power consumption information stored in the lighting communication database to provide to the lighting control terminal; A lighting state providing module connected to the lighting control terminal through a web to extract lighting state information stored in the lighting communication database and provide it to the lighting control terminal; And a lighting usage providing module connected to the lighting control terminal through a web and extracting the lighting usage prediction information stored in the lighting communication database and providing the extracted lighting usage prediction information to the lighting control terminal.

According to the present invention, there is an advantage of being able to self-diagnose a fault condition of a smart lighting device driver and a smart lighting controller through two-way communication during lighting control.

In addition, according to the present invention, there is also an advantage of providing a user with power consumption, failure information, and usage prediction information of smart lighting through the web.

1 is a block diagram of a building smart lighting energy management system according to a preferred embodiment of the present invention,
Figure 2 is a block diagram of an embodiment of the smart lighting controller of Figure 1,
3A and 3B are diagrams illustrating a design screen of a lighting control app applied to the present invention.

Hereinafter, a smart lighting energy management system for a building 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 a building smart lighting energy management system according to a preferred embodiment of the present invention.

The building smart lighting energy management system according to the present invention includes a smart lighting device 100, a lighting control terminal 200, and a lighting information web service unit 300.

The smart lighting device 100 diagnoses the presence or absence of a malfunction of the equipment through two-way communication between the equipment in the smart lighting device when the user controls the lighting, stores information about the presence of a malfunction, and predicts and stores the power consumption of the lighting and the lighting usage. , It serves to transmit the stored lighting-related information by interlocking with the lighting information web service unit 300 on the web.

Such a smart lighting device 100 is an information acquisition unit 110 for acquiring the user's biometric information and environment information, and corresponding to the user's biorhythm based on the biometric information and environment information collected by the information acquisition unit 110 Intelligent lighting management middleware 120 that calculates an emotion index and outputs lighting control data, and transmits lighting control data according to a user's request to the smart lighting controller 130 through two-way communication, and the smart lighting controller 130 When the lighting control data is transmitted from the lighting control unit 160, which diagnoses the presence or absence of a failure of the smart lighting controller 130 based on the presence or absence of a response, and stores the diagnosis result in the lighting communication database 170, Transmitting lighting control data to the smart lighting device driving unit 140 through two-way communication with the smart lighting device driving unit 140 that drives the smart lighting 150, and whether or not the smart lighting device driving unit 140 responds Based on the smart lighting controller 130 diagnosing the presence or absence of a fault in the smart lighting device driver 140 and storing the diagnosis result in the lighting communication database 170, lighting control information generated from the smart lighting controller 130 On the basis of, it includes a smart lighting device driving unit 140 for controlling the lighting or turning off, dimming of the smart lighting.

As shown in Figure 2, the smart lighting controller 130 is a lighting control module 131 for controlling the lighting or turning off of the smart lighting 150 based on the lighting control data, based on the lighting control data A lighting dimming module 132 that controls dimming of the lighting 150, a power consumption measurement module 133 that measures power consumption in real time using a preset power consumption measurement software when dimming the smart lighting 150, the A lighting fault information registration module 134 for registering fault information of the smart lighting device driving unit 140 obtained through two-way communication with the smart lighting device driving unit 140 in the lighting communication database 170, the lighting control data and measurement And a lighting usage prediction module 135 that predicts the lighting usage by using the generated power consumption.

This smart lighting controller 130 controls the lighting by prioritizing the lighting control data generated from the lighting control unit 160 when lighting control data is generated simultaneously in the intelligent lighting management middleware 120 and the lighting control unit 160 It is desirable.

In addition, the lighting control terminal 200 performs lighting control on the web using a smart lighting control application, and serves to receive lighting-related information by using the smart lighting control application.

The lighting control terminal 200 performs lighting control on the web using a smart lighting control application, and serves to receive a service of lighting power consumption measurement information according to dimming in software using the smart lighting control application. The lighting control terminal 200 is a terminal used by a user, and refers to a terminal such as a mobile device such as a smartphone, a personal computer, and a notebook computer. As long as the user terminal installs the smart lighting control application, any one may be used, but in the present invention, it is assumed that a smartphone is used for convenience of explanation.

In addition, the lighting information web service unit 300 is connected to the lighting control terminal 200 via a web through a network, and interlocks with the network according to the lighting control command of the lighting control terminal 200 to provide a smart lighting device 100 ) Serves to provide the lighting-related information to the lighting control terminal 200.

The lighting information web service unit 300 is connected to the lighting control terminal 200 through the web and extracts the lighting consumption power information stored in the lighting communication database 170 and provides the lighting consumption to the lighting control terminal 200. A power supply module 310, a lighting state providing module 320 that is connected to the lighting control terminal 200 through a web and extracts lighting state information stored in the lighting communication database 170 and provides it to the lighting control terminal 200 ), a lighting usage providing module 330 that is connected to the lighting control terminal 200 via a web and extracts the lighting usage prediction information stored in the lighting communication database 170 and provides it to the lighting control terminal 200 .

The operation of the smart lighting energy management system for buildings according to a preferred embodiment of the present invention configured as described above will be described in detail as follows.

The present invention automatically controls smart lighting based on the user's emotions living in a specific space, automatically detects the user's biorhythm and environmental changes, and provides a lighting system optimized for the user. This is to enable fault diagnosis through two-way communication between equipment, measure and provide real-time power consumption of smart lighting by software, and predict and provide lighting usage.

In order to control the general smart lighting 150, the information acquisition unit 110 in the smart lighting device 100 acquires the user's biometric information and environment information and transmits it to the intelligent lighting management middleware 120.

Here, the biometric information is used as an index to analyze the user's emotions such as EEG, ECG, pulse, skin conductivity, and skin temperature. In the present invention, only the EEG, electrocardiogram, and pulse are used among various obtained biometric information, and it is preferable to measure the EEG, ECG, and pulse by adopting various known measuring devices as they are. In particular, "Laxa"'s QEEG-8 and QECG-3 products can be used.

In addition, QEEG-8 can measure EEG at 8 locations at the same time, and can mark events during measurement, thereby increasing the reliability of measurement.

In addition, QECG-3 measures lead Ⅰ, Ⅱ, Ⅲ electrocardiogram signals by the standard limb guidance method in which electrodes are attached to both wrists and both ankles. Since it is a limb electrode attachment method, it has the advantage of being able to measure ECG even in a dressing/sitting state. have.

Environmental information is obtained as environmental information using temperature, humidity, and illuminance sensors. As the environmental sensor, various known environmental sensors can be used as it is, but the present inventor used HBE-ZigbeX II of "Hanbaek Electronics".

The biometric information and environment information obtained in this way are collected in the intelligent lighting management middleware 120, and the intelligent lighting management middleware 120 calculates an emotional index corresponding to the user's biorhythm based on the collected biometric information and environment information. , According to the calculated emotion index, a profile for smart lighting control is generated and lighting control data is output.

For example, the intelligent lighting management middleware 120 calculates and fuses biometric and environmental data indices, analyzes personal biometric data patterns and environmental patterns according to movement paths, and analyzes personal preferences based on each analysis result information. It serves to create a profile for lighting control.

The intelligent lighting management middleware 120 calculates the emotion index for smart lighting emotion control in the emotion index calculation unit based on the biometric information and environmental information, but when both biometric information and environmental information cannot be obtained, the biometric information and the environment The information is mutually compatible and the emotional index is accurately calculated. The emotional index calculation unit sets EEG and ECG as the first biometric information, sets the pulse rate as the second biometric information, sets temperature/humidity/illumination as environmental information, assigns a coefficient to each information to normalize, and normalizes It is desirable to calculate the emotional index by substituting the resulting data into the emotional index calculation function.

In the calculation of the emotional index, if only the second biometric information and the environmental information exist, the collected data of the second biometric information and a normalized coefficient are calculated, and the emotional index calculation function uses two environmental information and the second biometric information instead of the first biometric information. The emotional index is calculated by applying only the information, and if only the first biometric information and the environmental information exist, set the ratio of the electrocardiogram (ECG) and the brain wave (EEG) in the collected second biometric information to 60% and 40%, respectively. And, by calculating the second biometric data and the normalized coefficient, the emotional index is calculated by applying only two environmental information and the second biometric information instead of the first biometric information to the emotional index calculation function. Instead of the first biometric information and the second biometric information, environmental data is calculated by substituting each of the three environmental information into the emotional index calculation function, and if both the first and second biometric information and the environmental information exist, the first And calculating the second biometric information data and the normalized coefficient, and calculating the emotional index by substituting the first biometric information, the second biometric information, and the environmental information into the emotional index calculation function, respectively.

In addition, the personal taste analysis and profile generation unit of the intelligent lighting management middleware 120 analyzes personal taste based on the emotion index and analysis result calculated by the emotion index calculation unit, and generates a profile according to the analyzed personal taste. After that, it plays a role of generating and outputting lighting control data.

For example, the personal preference analysis and profile analysis unit analyzes the biometric data pattern based on the obtained biometric information for each individual. The biometric data pattern is a pattern for determining a biorhythm. For example, pattern analysis of how the circadian rhythm changes. In addition, the personal preference analysis and profile analysis unit analyzes the pattern of environmental information based on the acquired environmental information of the corresponding space. For example, it analyzes what pattern of environmental information changes.

Next, the personal preference analysis and profile generation unit analyzes personal preferences based on the calculated emotion and discomfort index, the biometric data pattern analysis result and the environmental pattern analysis result, and generates a profile according to the analyzed personal preference, Generate and output lighting control data.

Here, when creating a profile according to personal preference, we build an LED color temperature database linked with the emotional index and the discomfort index for each user's gender/age, and automatically derive optimal environmental information using mining technology for accumulated data. And, the smart lighting control data corresponding thereto is calculated and transmitted to the smart lighting controller 130.

The smart lighting controller 130 controls the brightness and color of the smart lighting 150 based on the smart lighting control data output from the intelligent lighting management middleware 120.

For example, the smart lighting controller 130 controls the lighting or turning off of the smart lighting 150 in the lighting control module 131, as shown in FIG. 2, and the smart lighting 150 in the lighting dimming module 132 Control dimming (brightness).

Here, when the smart lighting 150 is controlled, color temperature control data for controlling the color of the lighting is calculated to implement emotional lighting. 3B is an example of color temperature control.

For example, the color temperature is implemented by combining the two color temperatures so that power consumption is kept constant when implementing the lighting color temperature.

Excessive power consumption occurs because two color temperatures are combined as they are to create various lighting color temperatures. In other words, 100% of warm (50W) + 100% of cool (50W) = 100W of power is consumed.

On the other hand, in the present invention, by implementing a color temperature using a set control algorithm, 100% of warm (50W) + 100% of cool (50W) = 50W is maintained, so that power consumption can be reduced.

In addition, if dimming is 50%, 50% of warm (50W) + 50% of cool (50W) = 25W, and power consumption can be innovatively reduced.

In this way, a lighting control signal including color temperature control data for reducing power consumption is transmitted to the smart lighting device driver 140 through RS-485 communication.

After receiving the smart lighting control data, the smart lighting device driving unit 140 controls the color temperature of the smart lighting 150 using the color temperature control data to implement the color of the lighting, and the color temperature control data is If it does not exist, the color of the lighting is implemented by controlling the color temperature by performing an algorithm to reduce power consumption. The color and brightness of the smart lighting 150 are adjusted according to the lighting control data transmitted at the same time.

Here, as a method of controlling brightness, which is a smart lighting, brightness is controlled in consideration of the nonlinear characteristics of the forward voltage and forward current of the LED. While maintaining a constant current supply from the current source, the brightness can be adjusted through modulation by turning the voltage on/off. In addition, it is possible to adjust the brightness by current while maintaining a constant voltage supply of the voltage source.

On the other hand, as a feature of the present invention, the smart lighting controller 130 and the smart lighting device driver 140 transmits lighting control data through two-way communication, and the smart lighting device driver through the presence or absence of a response from the smart lighting device driver 140 It is possible to self-diagnose whether (140) is malfunctioning.

For example, the smart lighting controller 130 transmits lighting control data to the smart lighting device driver 140 through bidirectional communication and requests a response. When receiving the lighting control data, the smart lighting device driver 140 transmits a response signal to the smart lighting controller 130 according to the requested response. When the response is normally received within a preset time after transmitting the lighting control data, the smart lighting controller 130 recognizes that the smart lighting device driver 140 operates normally in the lighting failure information registration module 134. On the contrary, if the response does not occur within a preset time in the smart lighting device driving unit 140, the lighting failure information registration module 134 diagnoses a failure of the smart lighting device driving unit 140, and the smart lighting device driving unit 140 The fault information is registered in the lighting communication database 170.

As described above, the present invention can self-diagnose whether or not there is a fault in the smart lighting device driving unit 140 using only two-way communication.

Next, when the control of the smart lighting 150 is started and dimming is performed as described above, the power consumption measurement module 133 measures real-time power consumption according to the dimming control of the smart lighting 150 by software, and measures One lighting power consumption information is stored in the lighting communication interface 170.

For example, when dimming of the smart lighting 150 is performed, the power consumption measurement module 133 measures power consumption in real time using a preset power consumption measurement software. Here, there is a difference between the power consumption of smart lighting and the power consumption of dimming when dimming is not performed. In general, in order to measure the power consumption of a lighting device, the power consumption of the lighting is measured using a hardware measuring device, that is, a power meter. In this case, a power meter must be separately installed on the smart lighting, and in this case, hardware change is required and an installation space must be secured in order to install the power meter on the existing smart lighting. In order to improve this problem, the present invention uses a software-based power consumption measurement method to measure the power consumption of smart lighting without changing the hardware of the existing smart lighting. 3A is an example of a web screen for lighting control, and on this web screen, a user selects a brightness level for dimming control. Here, the brightness level for dimming is set in 5 steps (20%, 40%, 60%, 80%, and 100%). One of these can be selected as the dimming control level. When dimming is selected, the power consumption measurement module 313 calculates real-time power consumption according to dimming by applying a dimming level as a weight to the measured power consumption value according to the existing brightness using a software power consumption measurement algorithm. Here, the calculation of power consumption according to dimming using the power consumption measurement algorithm is called power consumption measurement. A software power consumption measurement algorithm is a method known in the field of power consumption measurement, and the present invention uses a method of calculating power consumption by applying a dimming value to the power consumption measurement algorithm as a weight. In this way, the measured power consumption calculated in real time is stored in the power consumption database 400. The measured value of power consumption according to dimming may be power consumption that decreases proportionally to the dimming time.

On the other hand, as another feature of the present invention, when intelligently controlling smart lighting as described above, it is possible to measure and store power consumption, and it is also possible to check the presence or absence of a failure through self-diagnosis of the smart lighting device driver 140. , When controlling the user's lighting, the power consumption is measured by software without hardware for power consumption measurement, and the user can check it through the web in real time, and the smart lighting controller 130 It is said that it can self-diagnose whether there is a fault.

That is, when a user inputs a lighting control command using an operation device (key input or remote control), the lighting control unit 160 generates lighting control data in response to the lighting control command input by the user, and through two-way communication. It transmits to the smart lighting controller 130 and requests a response.

The smart lighting controller 130 controls the brightness and color of the smart lighting 150 based on the smart lighting control data output from the lighting controller 160.

For example, the smart lighting controller 130 controls the lighting or turning off of the smart lighting 150 in the lighting control module 131, as shown in FIG. 2, and the smart lighting 150 in the lighting dimming module 132 Control dimming (brightness).

In the normal state of the smart lighting controller 130, the method of controlling the color temperature, brightness, etc. of the smart lighting 150 through the smart lighting device driver 140 is the same as the above-described smart lighting control method, thus avoiding redundant entries. I will omit it for that.

Here, as a feature of the present invention, the lighting control data is transmitted through two-way communication between the lighting controller 160 and the smart lighting controller 130, and failure of the smart lighting controller 130 through the presence or absence of a response from the smart lighting controller 130 It means that you can self-diagnose the presence or absence.

For example, the lighting control unit 160 transmits lighting control data to the smart lighting controller 160 through two-way communication and requests a response. When the lighting control data is normally received, the smart lighting controller 130 transmits a response signal to the lighting controller 160 according to the requested response. If the response is normally received within a preset time after transmitting the lighting control data, the lighting control unit 160 recognizes that the smart lighting controller 130 operates normally in the lighting failure information registration module 134. On the contrary, if the response does not occur within a preset time in the smart lighting controller 130, the lighting fault information registration module 134 diagnoses a fault in the smart lighting controller 130 and retrieves fault information of the smart lighting controller 130. It is registered in the lighting communication database 170.

As described above, the present invention can self-diagnose whether or not there is a fault in the smart lighting controller 130 using only two-way communication.

Next, when the control of the smart lighting 150 is started and dimming is performed as described above, the power consumption measurement module 133 measures real-time power consumption according to the dimming control of the smart lighting 150 by software, and measures One lighting power consumption information is stored in the lighting communication interface 170.

For example, when dimming of the smart lighting 150 is performed, the power consumption measurement module 133 measures power consumption in real time using a preset power consumption measurement software. Here, there is a difference between the power consumption of smart lighting and the power consumption of dimming when dimming is not performed. In general, in order to measure the power consumption of a lighting device, the power consumption of the lighting is measured using a hardware measuring device, that is, a power meter. In this case, a power meter must be separately installed on the smart lighting, and in this case, hardware change is required and an installation space must be secured in order to install the power meter on the existing smart lighting. In order to improve this problem, the present invention uses a software-based power consumption measurement method to measure the power consumption of smart lighting without changing the hardware of the existing smart lighting. 3A is an example of a web screen for lighting control, and on this web screen, a user selects a brightness level for dimming control. Here, the brightness level for dimming is set in 5 steps (20%, 40%, 60%, 80%, and 100%). One of these can be selected as the dimming control level. When dimming is selected, the power consumption measurement module 313 calculates real-time power consumption according to dimming by applying a dimming level as a weight to the measured power consumption value according to the existing brightness using a software power consumption measurement algorithm. Here, the calculation of power consumption according to dimming using the power consumption measurement algorithm is called power consumption measurement. A software power consumption measurement algorithm is a method known in the field of power consumption measurement, and the present invention uses a method of calculating power consumption by applying a dimming value to the power consumption measurement algorithm as a weight. In this way, the measured power consumption calculated in real time is stored in the power consumption database 400. The measured value of power consumption according to dimming may be power consumption that decreases proportionally to the dimming time.

In addition, as another feature of the present invention, it is possible to predict the amount of lighting used.

That is, the lighting usage prediction module 135 in the smart lighting controller 130 predicts the lighting usage using lighting control data and measured power consumption. That is, it is assumed that a smart lighting device is installed in a building, and when lighting control data is generated, information on the lighting use time is extracted, and the lighting consumption of the corresponding building is predicted using the power consumption information measured according to the lighting control data. It is also possible to predict lighting usage by dividing it by floor or by specific place of the building. For example, the lighting usage of a building is predicted using the smart lighting lighting time and power consumption of the entire building, or the lighting usage of each floor or specific place is predicted using the lighting lighting time and power consumption of each floor or special place.

The predicted lighting usage prediction information is stored in the lighting communication database 170 for each category (building, floor, specific place).

Meanwhile, the user can check lighting failure information, lighting usage prediction information, power consumption information, etc. on the web using the lighting control terminal 200.

That is, the lighting control application installed in the lighting control terminal 200 is executed, and the lighting information web service unit 300 is connected through a network.

When the lighting information web service unit 300 is connected to the web through a network, lighting-related information (power consumption information, lighting usage prediction information, failure information, etc.) is requested using an input means.

In response to a request for such lighting-related information, the lighting information web service unit 300 provides lighting-related information to the lighting control terminal 200 in connection with the lighting control terminal 200.

For example, the lighting power consumption providing module 310 of the lighting information web service unit 300 is connected to the lighting control terminal 200 through a web and stored in the lighting communication database 170 of the smart lighting device 100 Power consumption information is extracted and provided to the lighting control terminal 200.

In addition, the lighting state providing module 320 is connected to the lighting control terminal 200 on the web and stored in the lighting communication database 170 of the smart lighting device 100 (as lighting failure information, the smart lighting controller Including the presence or absence information of the fault and the information about the presence or absence of a fault of the smart lighting device driving unit) is extracted and provided to the lighting control terminal 200.

In addition, the lighting usage providing module 330 of the lighting information web service unit 300 is connected to the lighting control terminal 200 via the web to predict the lighting usage stored in the lighting communication database 170 of the smart lighting device 100 Information is extracted and provided to the lighting control terminal 200.

This allows users to conveniently install separate power measurement equipment on the installed smart lighting equipment, or conveniently display power consumption measurement information according to dimming, various status information and lighting usage information on the web in real time without changing the hardware of the installed smart lighting equipment. You will be able to confirm.

Although the invention made by the present inventor has been described in detail according to the above embodiment, the invention is not limited to the above embodiment, and can be changed in various ways without departing from the gist of the invention.

100: smart lighting device 110: information acquisition unit
120: intelligent lighting management middleware 130: smart lighting controller
131: lighting control module 132: lighting dimming module
133: power consumption measurement module 134: lighting fault information registration module
135: lighting usage prediction module 140: smart lighting device driving unit
150: smart lighting 200: lighting control terminal
300: lighting information web service unit 310: lighting power consumption supply module
320: lighting state providing module 330: lighting usage providing module

Claims (5)

As a system to manage the energy status of smart lighting installed in buildings,
A lighting control terminal that executes lighting control on the web using a smart lighting control application and receives lighting related information using the smart lighting control application;
A lighting information web service unit connected to the lighting control terminal through a web through a network, and providing lighting-related information of a smart lighting device to the lighting control terminal by interworking with a network according to a lighting control command of the lighting control terminal; And
When controlling the user's lighting, it diagnoses whether there is a malfunction of the equipment through two-way communication between the equipment in the smart lighting device, stores information about the malfunction, predicts and stores the power consumption and lighting usage of the lighting, and stores the lighting information web service. Building smart lighting energy management system, characterized in that it comprises a smart lighting device that transmits the stored lighting-related information by linking through the web.
In claim 1, wherein the smart lighting device transmits the lighting control data according to the user's request to the smart lighting controller through two-way communication, diagnoses the presence or absence of a failure of the smart lighting controller based on the response of the smart lighting controller, and diagnoses A lighting control unit for storing the result in the lighting communication database; When the lighting control data is transmitted from the lighting control unit, the lighting control data is transmitted to the smart lighting device driving unit through two-way communication with the smart lighting device driving unit driving the smart lighting, and whether or not the smart lighting device driving unit is responding. Building smart lighting energy management system, characterized in that it comprises a smart lighting controller for diagnosing the presence or absence of a failure of the smart lighting device driving unit on the basis, and storing the diagnosis result in the lighting communication database.
The method according to claim 2, wherein the smart lighting controller comprises: a lighting control module for controlling the lighting or lighting of smart lighting based on the lighting control data; A lighting dimming module for controlling dimming of smart lighting based on the lighting control data; Building smart lighting energy management system comprising a power consumption measurement module for measuring power consumption in real time using a preset power consumption measurement software when dimming the smart lighting.
The method of claim 3, wherein the smart lighting controller comprises: a lighting fault information registration module for registering fault information of the smart lighting device driving unit obtained through bidirectional communication with the smart lighting device driving unit in the lighting communication database; Building smart lighting energy management system, characterized in that it further comprises a lighting consumption prediction module for predicting the lighting consumption using the lighting control data and the measured power consumption.
The lighting information web service unit comprises: a lighting power consumption providing module connected to the lighting control terminal through a web to extract lighting power consumption information stored in the lighting communication database and provide the lighting information to the lighting control terminal; A lighting state providing module connected to the lighting control terminal through a web to extract lighting state information stored in the lighting communication database and provide it to the lighting control terminal; And a lighting consumption providing module connected to the lighting control terminal through a web and providing the lighting consumption prediction information stored in the lighting communication database to the lighting control terminal.

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