KR20220107529A - Photosensor daylight dimming control system and method thereof - Google Patents

Abstract

The present invention relates to a photosensor daylight dimming control system and a method thereof. The system includes: at least one photosensor attached onto a ceiling surface or lighting device and detecting quantity of light flowing into a pre-set internal space to provide a sensing value; at least one illuminometer installed at an internal work surface located in an opposite direction to the lighting device, measuring a direct work surface illuminance value of the lighting device and an indirect illuminance value by at least one lighting device disposed around the lighting device, and integrating the direct work surface illuminance value and the indirect illuminance value to provide a final work surface illuminance; and a lighting controller training a daylight illuminance prediction algorithm by using the sensing value of the photosensor and the final work surface illuminance, predicting a work surface illuminance according to the sensing value detected by the photosensor according to the trained daylight illuminance prediction algorithm, and controlling lighting brightness of an actual internal space according to the predicted work surface illuminance to maintain a pre-set target illuminance. The present invention can increase accuracy of the daylight illuminance prediction algorithm.

Description

Light sensor dimming control system and method thereof

The present invention relates to a light sensor dimming control technology that utilizes indoor incident daylight to reduce lighting energy consumption.

The content described in this section merely provides background information on an embodiment of the present invention and does not constitute the prior art.

As the issue of energy saving grows around the world, many studies are being conducted to realize a zero-energy building. occupies a large part.

Recently, a lot of research has been done to reduce lighting energy in a building, and in particular, a system for reducing lighting energy by using daylight inflow into a building is being developed. While Korea is promoting a policy to reduce greenhouse gas emissions through zero-energy buildings, public buildings must function as zero-energy buildings from 2020, and private buildings must function as zero-energy buildings after 2025.

The target illuminance, which is a basic standard required in the indoor lighting environment, is maintained by the lighting equipment. To this end, lighting fixtures are arranged at appropriate intervals to form a condition for supplying an even illuminance to the entire space. It is known that lighting energy consumed indoors constitutes the highest percentage of the total energy consumed in commercial buildings.

A daylight dimming control system is to introduce daylight into a room and use it in connection with lighting equipment in order to save consumed lighting energy.

1 is a view for explaining a general optical sensor dimming control system.

Referring to FIG. 1, the light sensor dimming control system recognizes the amount of main light flowing into the room and adjusts the brightness of the lighting device 10 to match the target illuminance set in the indoor space to save energy. is the system The light sensor dimming control system should be able to predict the indoor working surface illuminance distribution through the amount of daylight sensed by the light sensor 11 attached to the ceiling or lighting fixture 10 .

This optical sensor dimming control system can save about 30 to 60% of the energy used for lighting even when considering the influence of various factors such as the orientation and shape of the space, the area, location and shape of the window, and the transmittance and reflectance of glass. have.

The light sensor dimming control system minimizes the energy consumption of artificial lighting and ensures that the indoor working surface illuminance always maintains the set value regardless of the change in the amount of external sunlight. In daylight conditions, the signal of the photosensor cannot be accurately predicted.

Currently, the light sensor dimming control system detects only the illuminance of the working surface of the luminaire, so other luminaires except for a specific luminaire are turned off during the calibration process. However, since the working surface illuminance of the lighting equipment is actually affected by other lighting equipment, the final working surface illuminance of the actual optical sensor dimming control system is higher than the target working surface illuminance, so there is a problem in that the energy saving efficiency of the system is reduced.

In order to solve the above problems, according to an embodiment of the present invention, the accuracy of the daylight illuminance prediction algorithm is increased in consideration of the indirect illuminance effect between lighting fixtures, and real-time power consumption while accurately maintaining the target illuminance set in the system. The purpose is to reduce

However, the technical task to be achieved by the present embodiment is not limited to the above-described technical task, and other technical tasks may exist.

As a technical means for achieving the above technical problem, the light sensor dimming control system according to an embodiment of the present invention is attached to a ceiling surface or a lighting device, detects the amount of light flowing into a preset indoor space, and provides a sensed value at least one optical sensor; It is installed on the indoor working surface located in the direction facing the lighting equipment, and the direct operation by measuring the illuminance value of the working surface directly under the lighting equipment and the indirect illuminance value by at least one or more lighting equipment arranged around the lighting equipment at least one illuminance meter for providing a final working surface roughness by integrating the surface roughness value and the indirect roughness value; and learning a daylight illuminance prediction algorithm using the sensing value of the photosensor and the final working surface illuminance, and predicting the working surface illuminance according to the sensing value sensed by the photosensor according to the learned daylight illuminance prediction algorithm, and and a lighting controller configured to maintain a preset target illuminance by controlling the luminance of the actual indoor space according to the predicted working surface illuminance.

At this time, in the light sensor dimming control system, when the indoor space is divided into a preset number of lighting groups, the lighting controller is provided for each lighting group, and data collection and transmission processing in connection with the lighting controller for each lighting group A central control unit in charge of lighting operation including setting target illuminance of each lighting group and adjusting lighting brightness may be further included.

The lighting controller transmits a lighting control signal for controlling the lighting brightness of the indoor space to the lighting equipment, and the lighting equipment converts the lighting control signal into a lighting driving signal through digital/analog conversion to increase the brightness of the lighting is to regulate

The daylight illuminance prediction algorithm calculates the daylight illuminance prediction slope for the working surface illuminance and the sensing value of the photosensor according to the dimming level of each lighting fixture in the learning process, and when learning is completed, the light sensor based on the daylight illuminance prediction gradient It is to provide a predicted value of the working surface illuminance corresponding to the sensed value of .

In the light sensor dimming control method according to an embodiment of the present invention, in the optical sensor dimming control method performed by the optical sensor dimming control system, a) sensing and sensing the amount of light flowing into a preset indoor space by the optical sensor receiving a value; b) receiving the final working surface illuminance in which the illuminance value of the direct working surface of the lighting equipment and the indirect illuminance value of at least one or more lighting equipment disposed around the lighting equipment are added through the illuminance meter located in the direction facing the lighting equipment step; c) learning a daylight illuminance prediction algorithm using the sensing value of the photosensor and the final working surface illuminance; and d) predicting the working surface illuminance using the sensing value provided from the photosensor through the learned daylight illuminance prediction algorithm. and e) controlling the lighting brightness of the actual indoor space according to the predicted working surface illuminance to maintain the preset target illuminance.

The step e) may further include calculating a required dimming value by comparing the predicted working surface illuminance with the target illuminance, calculating a dimming level based on the required dimming value, and providing a lighting control signal.

The lighting fixture to which the optical sensor that has transmitted the sensed value in step d) converts the lighting control signal into a lighting driving signal through digital/analog conversion to adjust the brightness of the lighting.

The daylight illuminance prediction algorithm calculates the daylight illuminance prediction slope for the working surface illuminance and the sensing value of the photosensor according to the dimming level of each lighting fixture in the learning process, and when learning is completed, the light sensor based on the daylight illuminance prediction gradient It is to provide a predicted value of the working surface illuminance corresponding to the sensed value of .

An optical sensor dimming control system according to another embodiment of the present invention includes: at least one optical sensor attached to a ceiling surface or a lighting device, and configured to detect an amount of light flowing into a preset indoor space and provide a sensed value; It is installed on the indoor working surface located in the direction facing the lighting equipment, and the illuminance value of the direct working surface of the lighting equipment, the first indirect illuminance value by at least one or more lighting equipment arranged around the lighting equipment, and the indoor space. at least one illuminance meter measuring a second indirect illuminance value by the height of the installed awning, and providing a final working surface illuminance by integrating the direct working surface illuminance value and the first and second indirect illuminance values; and learning a daylight illuminance prediction algorithm using the sensing value of the photosensor and the final working surface illuminance, and predicting the working surface illuminance according to the sensing value sensed by the photosensor according to the learned daylight illuminance prediction algorithm, and and a lighting controller configured to maintain a preset target illuminance by controlling the luminance of the actual indoor space according to the predicted working surface illuminance.

The daylight illuminance prediction algorithm calculates the daylight illuminance prediction slope for the working surface illuminance and the sensing value of the photosensor according to the dimming level of each lighting fixture in the learning process, and when learning is completed, the light sensor based on the daylight illuminance prediction gradient It is to provide a predicted value of the working surface illuminance corresponding to the sensed value of .

The lighting controller is to calculate the shading effect by calculating the ratio of the predicted value of the working surface illuminance of each lighting fixture to the actual measured value of the working surface illuminance for each height of the awning.

The lighting controller is to reflect the shading effect to correct the prediction slope of the daylight illuminance.

In the light sensor dimming control method according to another embodiment of the present invention, in the optical sensor dimming control method performed by the optical sensor dimming control system, a) by detecting the amount of light flowing into a preset indoor space by the optical sensor, receiving a sensed value; b) the illuminance value of the direct working surface of the lighting fixture through the illuminance meter located in the direction facing the lighting fixture, the first indirect illuminance value by at least one lighting fixture disposed in the periphery of the lighting fixture, and the awning installed in the indoor space measuring a second indirect illuminance value according to the height and receiving the final working surface illuminance by integrating the direct working surface illuminance value with the first and second indirect illuminance values; c) learning a daylight illuminance prediction algorithm using the sensing value of the photosensor and the final working surface illuminance; and d) predicting the working surface illuminance using the sensing value provided from the photosensor through the learned daylight illuminance prediction algorithm. and e) controlling the lighting brightness of the actual indoor space according to the predicted working surface illuminance to maintain the preset target illuminance.

A light sensor dimming control method according to another embodiment of the present invention, the optical sensor dimming control method performed by the optical sensor dimming control system, comprising: a) setting a target illumination for a preset indoor space; b) measuring a sensing value of the amount of light flowing into the indoor space through an optical sensor attached to the lighting device, and measuring the ceiling illuminance value through a ceiling surface or an optical sensor attached to the lighting device; c) predicting a working surface illuminance according to the sensing value of each optical sensor through a daylight illuminance prediction algorithm, and calculating a required dimming value for each lighting device by comparing the predicted working surface illuminance with a target illuminance; and d) after turning on the lighting device, measuring the illuminance of the working surface directly under the lighting device through the optical sensor, and verifying the target illuminance accuracy by comparing the measured working surface illuminance with the target illuminance.

The target illuminance accuracy is calculated based on only the measured value of the illuminance of the working surface directly below the measurement point where the insufficient illuminance compared to the target illuminance occurs.

According to the above-described problem solving means of the present invention, it is possible to increase the accuracy of the daylight illuminance prediction algorithm in consideration of the indirect illuminance effect between lighting fixtures, and to reduce real-time power consumption while accurately maintaining the target illuminance set in the system.

In addition, the present invention provides a daylight illuminance prediction algorithm that uses an optical sensor to increase the accuracy of daylight illuminance prediction to increase target illuminance accuracy, and maximizes lighting energy saving and provides a comfortable lighting environment through the daylight illuminance prediction algorithm. have.

1 is a view for explaining a general optical sensor dimming control system.
2 is a view for explaining the configuration of a light sensor dimming control system according to an embodiment of the present invention.
3 is a view for explaining a process of daylight illuminance learning according to a daylight illuminance prediction algorithm according to an embodiment of the present invention.
FIG. 4 is a graph illustrating a daylight illuminance prediction slope according to FIG. 3 .
5 is a diagram for explaining a learning process of a daylight illuminance prediction algorithm for lighting fixture 1 according to an embodiment of the present invention.
FIG. 6 is a graph illustrating a prediction gradient of daylight illuminance of the lighting fixture 1 according to FIG. 5 .
7 is a view for explaining a learning process of a daylight illuminance prediction algorithm for the lighting fixture 2 according to an embodiment of the present invention.
FIG. 8 is a graph for explaining the prediction slope of daylight illuminance of the lighting fixture 2 according to FIG. 7 .
9 is a view for explaining an actual lighting environment due to indirect illumination between lighting fixtures according to an embodiment of the present invention.
10 is a view for explaining a state of maintaining a target illuminance of the light sensor dimming control system according to an embodiment of the present invention.
11 is a flowchart illustrating a method for controlling dimming of an optical sensor according to an embodiment of the present invention.
12 is a flowchart illustrating an illuminance calculation process of a dimming control algorithm according to an embodiment of the present invention.
13 is a view for explaining a learning process of a daylight illuminance prediction algorithm for lighting fixture 1 in consideration of an indirect illuminance effect according to an embodiment of the present invention.
FIG. 14 is a graph for explaining the prediction gradient of daylight illuminance of the lighting device 1 of FIG. 13 .
15 is a view for explaining a method of calculating illuminance by a dimming control algorithm according to an embodiment of the present invention.
16 is a view for explaining the configuration of a light sensor dimming control system according to another embodiment of the present invention.
FIG. 17 is a view for explaining the prediction slope of daylight illuminance in consideration of the influence of shading and indirect illuminance according to FIG. 16 .
18 is a flowchart illustrating a method for controlling dimming of an optical sensor according to another embodiment of the present invention.
19 is a flowchart illustrating a shading effect reflection process of a light sensor dimming control method according to another embodiment of the present invention.
20 is a view for explaining the shading effect calculation process for each shading height in FIG. 19 .
21 is a view for explaining the calculation result of the shading effect for each location of the indoor space according to an embodiment of the present invention.
22 is a view for explaining an illuminance measuring point in an indoor space according to an embodiment of the present invention.
23 is a view for explaining a process of deriving a daylight illuminance prediction inclination correction value and a subject expression according to the height of the awning.
24 is a flowchart illustrating a method for controlling dimming of an optical sensor according to another embodiment of the present invention.
25 is a graph for explaining the working surface illuminance according to the dimming level of FIG. 24 .
26 is a graph for explaining a regression analysis result of each illuminance meter according to FIG. 24 .
27 is a view for explaining a target illuminance accuracy evaluation result in Case 1 according to an embodiment of the present invention.
28 is a view for explaining a target illuminance accuracy evaluation result in Case 2 according to an embodiment of the present invention.
29 is a view for explaining a target illuminance accuracy evaluation result in case 3 according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is "connected" with another part, this includes not only the case of being "directly connected" but also the case of being "electrically connected" with another element interposed therebetween. . Also, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated, and one or more other features However, it is to be understood that the existence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded in advance.

The following examples are detailed descriptions to help the understanding of the present invention, and do not limit the scope of the present invention. Accordingly, an invention of the same scope performing the same function as the present invention will also fall within the scope of the present invention.

In addition, each configuration, process, process or method included in each embodiment of the present invention may be shared within a range that does not technically contradict each other.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

2 is a view for explaining the configuration of a light sensor dimming control system according to an embodiment of the present invention.

Referring to FIG. 2 , the optical sensor dimming control system includes at least one optical sensor 120 , at least one illuminometer 130 , and a lighting controller 200 .

The photosensor 120 is attached to the ceiling surface or the lighting device 110, detects daylight illuminance (daylight illuminance) flowing into a preset indoor space and provides a sensed value. Such optical sensors 120 are provided as many as the number of lighting devices 110 .

The illuminance meter 130 is installed on the indoor working surface located in the direction facing the lighting device 110 , and is disposed in the periphery of the direct light working surface illuminance value of the lighting device 110 and the lighting device 110 . The indirect illuminance value by one or more lighting devices 110 is measured, and the final working surface illuminance is provided by integrating the direct working surface illuminance value and the indirect illuminance value.

The lighting controller 200 learns a daylight illuminance prediction algorithm by using the sensing value of the photosensor 120 and the final working surface illuminance. Thereafter, the lighting controller 200 predicts the working surface illuminance according to the sensing value sensed by the photosensor 120 using the learned daylight illuminance prediction algorithm without using the illuminometer 130 , and the predicted working surface illuminance Accordingly, the brightness of the actual indoor space is controlled to maintain a preset target illuminance.

That is, the lighting controller 200 transmits a lighting control signal for controlling the brightness of lighting in an indoor space to the lighting device 110, and the lighting device 110 converts the lighting control signal to a PWM signal (illumination) through digital/analog conversion. driving signal) to adjust the brightness of the light.

The lighting controller 200 may be a wireless communication device with guaranteed portability and mobility, and may be, for example, any kind of handheld-based wireless communication device such as a smartphone, a tablet PC, or a notebook computer. In addition, the lighting controller 200 may be a wired communication device such as a PC that can be connected to another terminal or server through a network.

At this time, when the light sensor dimming control system is divided into a preset number of lighting groups, the lighting controller 200 is provided for each lighting group, and data is collected and transmitted in connection with the lighting controller 200 for each lighting group. The processing may further include a central control unit (not shown) in charge of lighting operation including setting target illuminance of each lighting group and adjusting lighting brightness.

It is important for the light sensor dimming control system to accurately predict the daylight illuminance using the optical sensor 120 attached to the lighting device 110 in order to accurately maintain the working surface illuminance at the target illuminance. Therefore, the light sensor dimming control system can monitor the working surface illumination in real time by installing the illumination meter 130 in order to accurately predict the illumination of daylight.

FIG. 3 is a diagram illustrating a process of learning illuminance according to a daylight illuminance prediction algorithm according to an embodiment of the present invention, and FIG. 4 is a graph illustrating a gradient of daylight illuminance prediction according to FIG. 3 .

3 and 4, the light sensor dimming control system installs the first and second illuminance meters 131 and 132 in a work surface environment at a position where sunlight is easily detected, and the first and second optical sensors 121 , 122) and the first and second illuminance meters 131 and 132 to measure the sensed value and the working surface illuminance, and calculate the working surface illuminance value regression equation as a function of the sensed value of the photosensor 120, Learn the illuminance prediction algorithm. In this case, the daylight illuminance prediction algorithm may calculate the daylight illuminance prediction gradient by learning by using the sensing value in which the dimming level is raised stepwise and the measured value of the working surface illuminance according to the sensed value (dimming level).

When the learning of the daylight illuminance prediction algorithm is completed, the lighting controller 200 predicts the working surface illuminance according to the sensing value detected by the optical sensor 120 installed in the lighting device 110 in a state in which the illuminance meter 130 is removed. have. The daylight illuminance prediction algorithm can increase the accuracy of the daylight illuminance prediction value by extending the learning process in consideration of various external environments and seasonal fine weather types.

5 is a diagram illustrating a learning process of a daylight illuminance prediction algorithm for lighting fixture 1 according to an embodiment of the present invention, and FIG. 6 is a graph illustrating a daylight intensity prediction gradient of lighting fixture 1 according to FIG. 7 is a diagram for explaining a learning process of a daylight illuminance prediction algorithm for lighting fixture 2 according to an embodiment of the present invention, and FIG. 8 is a graph for explaining a gradient of daylight intensity prediction of lighting fixture 2 according to FIG. 7 .

5 to 8 , the light sensor dimming control system measures the working surface illuminance and the sensing value according to the dimming levels of the lighting fixtures 1 111 and 2 112 after sunset. At this time, the first optical sensor 121 is attached to the lighting device 1 111 , and the first illuminance meter 131 is disposed directly below the lighting device 1 111 (located 75 cm above the floor).

The illuminance and the sensed value of the working surface immediately below the lighting fixture 1 (111) are measured according to the dimming level of the lighting fixture, and the daylight illuminance prediction algorithm is calculated with the sensing value of the light sensor 120 attached to the lighting fixture 1 (111) and The measured value of the working surface illuminance and the dimming level of the lighting fixture 1 (111) are stored and learned together.

In the existing daylight illuminance prediction algorithm, in the process of learning about the lighting fixture 1 (111), the lighting fixture 1 (111) is turned on and the lighting fixture 2 (112) is in a flickering state, and the working surface illuminance for the lighting fixture 2 (112) was not learned. In addition, in the process of learning about the lighting equipment 2 (112), the lighting equipment 1 (111) is flickering and only the lighting equipment 2 (112) is turned on, so that only the sensing value and the working surface illuminance of the lighting equipment 2 (112) are learned, and lighting The working surface roughness of instrument 1 (111) was not learned.

9 is a view for explaining an actual lighting environment due to indirect illumination between lighting fixtures according to an embodiment of the present invention, and FIG. 10 is a target illumination maintenance state of the light sensor dimming control system according to an embodiment of the present invention It is an explanatory drawing.

As shown in FIG. 9, in the actual lighting environment, the illumination device 1 (111) and the lighting device 110 are both lit on the working surface illuminance under the lighting device 1 (111) is the lighting device 2 (112) It will also be affected by other lighting fixtures around it. In the light sensor dimming control system, the final working surface illuminance is higher than the target illuminance, and the energy saving efficiency of the entire system is reduced.

When the working surface illuminance measured through the sensing value of the optical sensor 120 exceeds the target illuminance, the lighting controller 200 dims the lighting brightness of the corresponding luminaire 110 . The corresponding lighting device 110 is darkened due to the difference between the target illuminance and the actual illuminance, which is because the illuminance of other lighting devices other than the corresponding lighting device 110 is not considered, so that the lighting device becomes too dark.

10 shows the final working surface when the light sensor dimming control system can maintain the target illuminance while excessively and repeatedly using lighting and dimming ((a) convergence), and the illuminance of the remote luminaire is greater than the illuminance of the nearest luminaire. The illuminance is diffused and the target illuminance cannot be maintained ((b) branching).

11 is a flowchart illustrating a method for controlling dimming of an optical sensor according to an embodiment of the present invention, and FIG. 12 is a flowchart illustrating an illumination calculation process of a dimming control algorithm according to an embodiment of the present invention.

Referring to FIG. 11 , the lighting controller 200 receives and stores the sensing values and dimming levels of the photosensors 120 attached to all lighting devices 110 ( S11 ), and corresponds to each lighting device 110 . Receive and store the final working surface illuminance from the illuminometer 130, which is the sum of the direct working surface illuminance value of the corresponding lighting device 110 and the indirect illuminance value of at least one lighting device disposed around the lighting device 110 ( S12).

The daylight illuminance prediction algorithm performs a learning process using the sensing value of the photosensor 120 and the final work surface illuminance, and when the learning is completed, calculates a daylight illuminance prediction gradient for the corresponding lighting fixture (S13).

The lighting controller 200 receives a sensing value through the photosensor 120 in a state in which the illuminance meter 130 is removed, and outputs a predicted value of the working surface illuminance corresponding to the sensed value using the daylight illuminance prediction gradient (S14). , S15).

The lighting controller 200 calculates a required dimming value by comparing a preset target illuminance and daylight illuminance according to the predicted value of the working surface illuminance by performing a dimming control algorithm (S16), and based on the calculated required dimming value, a lighting control signal is generated and transmitted to the corresponding lighting device 110 (S17). The lighting device 110 controls the brightness of the lighting in the actual indoor space according to the lighting control signal so that a preset target illuminance can be maintained (S18).

As shown in FIG. 12 , the dimming control algorithm calls the previous dimming level stored in the memory (not shown) (S21), and calls the sensing value of the currently measured photosensor (S22). The dimming control algorithm corrects the sensing value of the optical sensor to calculate the sensing correction value (S23), calculates the predicted working surface illuminance using the daylight illuminance prediction algorithm, and compares the target illuminance with the calculated working surface illuminance prediction value. After calculating the illuminance, the final dimming level is calculated (S24 to S26). At this time, the sensing correction value of the optical sensor is measured by either calculating the correction value of the optical sensor through lighting and blinking of the corresponding lighting device, or installing a separate illuminance meter on the ceiling surface adjacent to the optical sensor and then measuring the sensing value of the optical sensor and the illuminance meter The corrected ceiling illuminance value may be compared to calculate a correction value of the photosensor to calculate a sensing correction value for the sensed value of the photosensor.

At this time, in the light sensor dimming control system, the daylight illuminance prediction algorithm sets the learning data differently depending on the daytime and after sunset (nighttime). The daylight illuminance prediction algorithm uses the illuminance value due to the influence of sunlight flowing into the room through the window during the day as learning data, and because sunlight does not flow into the room at night, the illuminance value by the lighting fixture 110 is used as learning data. use it as

13 is a view for explaining a learning process of a daylight illuminance prediction algorithm for lighting fixture 1 in consideration of an indirect illuminance effect according to an embodiment of the present invention, and FIG. is a graph that

As shown in FIGS. 13 and 14, the daylight illuminance prediction algorithm calculates the daylight illuminance prediction slope for the lighting fixture 1 111 in the night state. Stores the dimming level of the instrument 110 . At this time, the lighting fixture 1 (111) is in a lighting state, and the lighting fixture 2 (112) is in a blinking state, but the second illuminometer 132 installed just below the lighting fixture 2 (112) is the indirect illuminance of the lighting fixture 1 (111). It can be seen that the working surface roughness is measured as an effect.

Similarly, even when the daylight illuminance prediction algorithm calculates the daylight illuminance prediction gradient for the lighting fixture 2 (112), the lighting fixture 1 (111) is in a blinking state, and the lighting fixture 2 (112) is in the on state, but the lighting fixture 1 In the first illuminance meter 131 installed just below the 111, the working surface illuminance is measured by the indirect illuminance effect of the second lighting fixture 112 .

Therefore, the daylight illuminance prediction algorithm learns not only the illuminance value of the working surface directly under each luminaire, but also the measured value of the indirect illuminance of all working surfaces around the luminaire 110 .

15 is a view for explaining a method of calculating illuminance by a dimming control algorithm according to an embodiment of the present invention.

As shown in FIG. 15 , the first illuminance meter 131 located just below the lighting fixture 1 111 in a state in which six lighting fixtures are arranged in an indoor space is the final working surface illuminance (ET) using Equation 1 below. ₁ ) can be calculated.

[Equation 1]

In Equation 1, ED ₁ is the daylight illuminance at a position immediately below the lighting fixture 1, and E _IJ represents the working surface illuminance at a position immediately below the lighting fixture j in the lighting fixture i. As such, the final working surface illuminance is the sum of the daylight illuminance, the illuminance of the nearest luminaire, and the illuminance of the farthest luminaire, and the final working surface illuminance (ET _j ) of all measurement points uses the standardized equation Equation 2 can be calculated by

[Equation 2]

In Equation 2, n represents the number of lighting fixtures.

When the target working surface illuminance is set to 500 lx and ED ₁ is 200 lx, the required working surface illuminance in the working surface illuminance 1 (ER ₁ ) may be calculated using Equation 3 . The illuminance required at a position immediately below the lighting fixture j(ER _j ) may be defined using Equation 3 according to Equation 4.

[Equation 3]

[Equation 4]

When the regression equation of the working surface illuminance according to the dimming level is defined by Equation 5, a linear equation having six variables may be simultaneously defined by Equation 6 using Equation 4 .

[Equation 5]

In Equation 5, g(L _j ) is the regression equation of the working surface illuminance at the position immediately below the luminaire j according to the dimming level of the luminaire j, and IE _ij is the work by the luminaire i at the ratio directly below the luminaire j It represents the ratio of the surface illuminance to the working surface illuminance at the position just below the lighting fixture i.

[Equation 6]

Equation 7 is converted by Equation 6, and the inverse ratio of the working surface illuminance matrix of Equation 7 is converted into Equation 8 to calculate g(L _j ). The dimming control algorithm can use the calculated g(L _j ) to calculate a dimming level to meet the required illuminance value of each measurement point.

[Equation 7]

[Equation 8]

FIG. 16 is a view for explaining the configuration of a light sensor dimming control system according to another embodiment of the present invention, and FIG. 17 is a view for explaining the prediction slope of daylight illuminance in consideration of the influence of shading and indirect illuminance by FIG. 16 .

16 and 17 , the optical sensor dimming control system may consider the effect of the shade 140 such as a roll screen in the process of learning the predicted value of the working surface illumination by the optical sensor 120 .

In the indoor space during the daytime, the working surface illuminance is indirectly affected by sunlight, the lighting equipment 110 , and the awning 140 that blocks sunlight to a certain level. Therefore, the light sensor dimming control system is determined by the first indirect illuminance value by at least one or more lighting fixtures disposed around the lighting fixture as well as the direct working surface illuminance value for each lighting fixture, and the height of the awning 140 installed in the indoor space. The second indirect illuminance value is measured, and the final working surface illuminance is provided to the lighting controller 200 by integrating the direct working surface illuminance value and the first and second indirect illuminance values.

Accordingly, the lighting controller 200 may calculate a daylight illuminance prediction gradient as shown in FIG. 17 by applying the sensing value of the photosensor 120 and the final working surface illuminance measurement value to the daylight illuminance prediction algorithm. In particular, it can be seen that the work surface located near the window where the awning is installed is most affected by the indirect illuminance by sunlight and the awning 140 compared to other work surfaces.

18 is a flowchart illustrating a method for controlling dimming of an optical sensor according to another embodiment of the present invention.

Referring to FIG. 18 , the lighting controller 200 receives and stores the sensing values and dimming levels of the photosensors 120 attached to all lighting fixtures 110 ( S31 ), and corresponds to each lighting fixture 110 . The illuminance value of the working surface directly under the lighting device 110 from the illuminometer 130, the first indirect illuminance value by at least one lighting device disposed in the periphery of the lighting device 110, and the shade 140 installed in the indoor space After measuring the second indirect illuminance value according to the height, the final working surface illuminance is received and stored by adding up the direct working surface illuminance value, the first indirect illuminance value, and the second indirect illuminance value (S32).

The daylight illuminance prediction algorithm performs a learning process using the sensing value of the photosensor 120 and the final working surface illuminance (S33). The lighting controller 200 receives a sensed value through the photosensor 120 in a state in which the illuminance meter 130 is removed, and outputs a predicted value of the working surface illuminance corresponding to the sensed value using the daylight illuminance prediction gradient (S34). , S35).

The lighting controller 200 calculates a required dimming value by comparing a preset target illuminance with daylight illuminance according to the predicted value of the working surface illuminance by performing a dimming control algorithm (S36), and based on the calculated required dimming value, a lighting control signal is generated and transmitted to the corresponding lighting device 110 (S37). The lighting device 110 controls the brightness of the lighting in the actual indoor space according to the lighting control signal so that a preset target illuminance can be maintained (S38).

19 is a flowchart illustrating a shading effect reflection process of a light sensor dimming control method according to another embodiment of the present invention. 20 is a view for explaining the shading effect calculation process for each shading height in FIG. 19, FIG. 21 is a view for explaining the shading effect calculation result for each location of the indoor space according to an embodiment of the present invention, and FIG. 22 is the present invention A view for explaining an illuminance measurement point in an indoor space according to an embodiment of the present invention, and FIG. 23 is a view for explaining a process of deriving a daylight illuminance prediction inclination correction value and a subject expression according to the height of the awning.

19 to 23 , the light sensor dimming control system learns in advance the daylight illuminance prediction gradient without the shade 140 ( S41 ), and then applies the shade to change the shade height and the pre-learned daylight illuminance prediction slope A predicted value of working surface roughness is calculated through (pre-learned slope) (S42).

At the same time, the measured value of the actual working surface illuminance is measured (S43), and the ratio (shading effect, %) of the measured value to the predicted working surface illuminance value for each awning height is calculated (S44). As shown in FIG. 21 , it can be seen that the shading effect is measured differently according to the window, center, and door in the indoor space.

Referring to FIGS. 22 and 23 , it is possible to check the shading effect according to the shading height at the measurement points P3 and P5, and to derive the correction value and the subject expression of the daylight illuminance prediction inclination according to the shading height.

Therefore, the light sensor dimming control system calculates the shading effect slope by applying the correction value of the illuminance prediction slope according to the shading height to the illuminance prediction slope calculated by the daylight illuminance prediction algorithm, and calculates the shading effect slope. It is possible to accurately calculate the predicted value of the working surface illuminance according to the sensed value sensed by the photosensor 120 through the daylight illuminance prediction gradient in which is reflected.

24 is a flowchart illustrating a light sensor dimming control method according to another embodiment of the present invention, FIG. 25 is a graph illustrating the working surface illuminance according to the dimming level according to FIG. 24, and FIG. 26 is FIG. It is a graph explaining the results of regression analysis of each illuminance meter.

Referring to FIG. 24 , the light sensor dimming control system measures the working surface illuminance, the daylight illuminance, the sensing value of the photosensor, the lighting power consumption and the external horizontal insolation, and the like, and based on the measurement result, the target illuminance accuracy, the daylight illuminance, etc. Prediction accuracy and lighting energy savings can be analyzed.

To this end, the optical sensor dimming control system sets a target illuminance for a preset indoor space ( S51 ), and a sensing value for the amount of light flowing into the indoor space through the optical sensor 120 attached to the lighting device 110 . is measured, and a ceiling illuminance value with respect to the ceiling illuminance is measured through an optical sensor attached to the lighting fixture (S52).

As shown in FIG. 22, P1 to P6 are illuminance meters measuring the illuminance of the working surface directly under the lighting fixtures 1 to 6, and the optical sensors (PS1 to PS6) attached to each lighting fixture are sunlight due to inflow of sunlight. Measure the illuminance of the ceiling surface to predict the illuminance.

The light sensor dimming control system predicts the working surface illuminance according to the sensing value of each optical sensor through the daylight illuminance prediction algorithm, and calculates the required dimming value for each lighting fixture by comparing the predicted working surface illuminance with the target illuminance (S53) .

After the lighting fixture is turned on (S55), the illuminance of the working surface directly under the lighting fixture is measured through the optical sensor 120 (S56), and the measured illuminance of the working surface directly under the light is compared with the target illuminance to generate insufficient illuminance compared to the target illuminance. The target illuminance accuracy is verified for only the measured value of the illuminance of the working surface directly below the measurement point (S57, S58).

At this time, the target illuminance accuracy is calculated by Equation 9 below, and as shown in Table 1, it can be seen that the optical sensor dimming control system shows a target illumination accuracy of 97% in consideration of the influence of indirect illumination.

[Equation 9]

In Equation 9, n represents the number of measurement points to be evaluated for accuracy.

[Table 1]

Install 6 lighting fixtures (LED, 1200 × 300mm2 , 40W, built-in optical sensor) using the indoor space of FIG. 22 as a test bed, azimuth is 23° (SW), and illuminance meters P1 to P6 are installed under each lighting fixture If it is placed at a plane height (750 mm) and a dimming control algorithm is performed, g(L _j ) (see Equation 5) is a position immediately below the lighting fixture j, and the working plane illuminance may appear as shown in FIG. .

The maximum illuminance values of g ( L ₁ ) and g ( L ₂ ) were measured to be about 400 lx near the window, compared to g ( L ₃ ), g ( L ₄ ), g ( L 5 ), g ( L ₅ ), The maximum roughness value of g ( L ₆ ) was measured to be about 500 lx. g ( L ₁ ) and g ( L ₂ ) are considered to have low illuminance values because the window transmits the artificial light to the outside without reflecting it.

When the daylight illuminance prediction algorithm of the working surface performs regression analysis on the values measured at each side (P1-P6), the regression analysis result of the light intensity versus the sensing value of the photosensor appears as shown in FIG. 26 . At this time, the target illuminance is 500 lx (Korean standard, KS illuminance standard), and when the daylight illuminance exceeds 500 lx, it was excluded from the regression analysis. 26, it can be seen that the coefficient of determination (R ² ) is close to unity and shows a clear trend, and as a result of regression analysis, the adjusted coefficient of determination (0.9695) of P1 located in the center of the room was the lowest, and the coefficient of determination (0.9695) located near the door was the lowest. The adjustment coefficient of determination (0.9976) of P5 was found to be the highest. When we classify and compare the results by area of the indoor space, it appears that the adjusted coefficient of determination is high in the door, window, and middle area.

As shown in Table 2, the fact that the root-mean-square error (RMSE) value is close to 0 indicates that the error between the predicted model (daylight illuminance prediction algorithm) and the measured value is small.

[Table 2]

As a result of RMSE analysis, the RMSE value (64.86) of P3 located in the center of the indoor space was the highest, and the RMSE value (17.60) of P5 located near the window was the lowest. Comparing the results for each area of the indoor space, it can be seen that the RMSE value of the door, window, and middle area is low.

27 is a view for explaining a target illuminance accuracy evaluation result in Case 1 according to an embodiment of the present invention, and FIG. 28 is a view for explaining a target illuminance accuracy evaluation result in Case 2 according to an embodiment of the present invention and FIG. 29 is a view for explaining a target illuminance accuracy evaluation result in Case 3 according to an embodiment of the present invention.

In case 1, insufficient illuminance occurs in the area near the door (P5, P6), and target illuminance is set to 600lx, 500lx, and 400lx, in case 2, insufficient illuminance occurs in the area near the door and in the middle (P3, P4, P5, P6), target illuminance is set to 600lx, 500lx, and 400lx, and in case 3, insufficient illuminance occurs in the entire area, and the target illuminance is set to 600lx, 500lx, and 400lx.

27 to 29 , a red block is a control reference value, a black block is a work surface roughness measurement value after control, and a red number indicates an accuracy evaluation target measurement value, respectively.

Looking at the target illuminance accuracy of the dimming control algorithm for Cases 1 to 3, as shown in Table 3, it can be seen that the optical sensor dimming control system of the present invention accurately maintains the target illumination and exhibits a target illumination accuracy of 96% or more. .

[Table 3]

In the lighting energy saving evaluation, when all lighting fixtures (LED, 40W) were turned on at 100% and the illuminance of the working surface was measured, the average illuminance of the working surface was measured to be about 1,000 lx. Since the target illuminance is set to 500 lx, the luminaire dims the light so that the average working surface illuminance is 500 lx. When the average working surface illuminance was 500 lx, the power consumption of all lighting fixtures was measured to be 104W (936Wh per day, for 9 hours (09:00-18:00)). Therefore, if the lighting energy saving is analyzed on the basis of 104W (936Wh per day), the daily average lighting power consumption is 202.2Wh (22.5W), and the average daily lighting energy saving ratio is 78.4% (based on the summer with high solar radiation). The lighting energy savings assessment indicates that lighting energy savings may be low in seasons other than summer.

Because the luminaire consumes standby power (about 9.6W) even when the luminaire is turned off, the maximum lighting energy saving is 90.1%, and the use of a luminaire with low standby power can increase the maximum lighting energy saving ratio from 91.1% to almost 100% .

Meanwhile, the steps of FIGS. 11 , 12 , 18 , 19 and 24 may be divided into additional steps or combined into fewer steps according to an embodiment of the present invention. In addition, some steps may be omitted if necessary, and the order between the steps may be changed.

The embodiments of the present invention described above may also be implemented in the form of a recording medium including instructions executable by a computer, such as a program module executed by a computer. Such recording media includes computer-readable media, and computer-readable media can be any available media that can be accessed by a computer, and includes both volatile and nonvolatile media, removable and non-removable media. Computer readable media also includes computer storage media, which include volatile and nonvolatile embodied in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data. , both removable and non-removable media.

The above description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and likewise components described as distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be interpreted as being included in the scope of the present invention. do.

110: lighting equipment
120: light sensor
130: illuminance meter
140: awning
200: light controller

Claims (16)

at least one optical sensor attached to a ceiling surface or a lighting fixture to detect an amount of light flowing into a preset indoor space and provide a sensed value;
It is installed on the indoor working surface located in the direction facing the lighting equipment, and the direct operation by measuring the illuminance value of the working surface directly under the lighting equipment and the indirect illuminance value by at least one or more lighting equipment arranged around the lighting equipment at least one illuminance meter for providing a final working surface roughness by integrating the surface roughness value and the indirect roughness value; and
The daylight illuminance prediction algorithm is learned using the sensing value of the photosensor and the final working surface illuminance, and the working surface illuminance is predicted according to the sensed value detected by the photosensor according to the learned daylight illuminance prediction algorithm, and the prediction A light sensor dimming control system comprising a lighting controller to maintain a preset target illuminance by controlling the luminance of the actual indoor space according to the illuminance of the working surface. According to claim 1,
When the indoor space is divided into a preset number of lighting groups, the lighting controller is provided for each lighting group,
The light sensor dimming control system further comprising a central control unit in charge of lighting operation including setting target illuminance of each lighting group and adjusting lighting brightness through data collection and transmission processing in connection with the lighting controller for each lighting group. According to claim 1,
The lighting controller transmits a lighting control signal for controlling the lighting brightness of the indoor space to the lighting equipment,
The lighting device converts the lighting control signal into a lighting driving signal through digital/analog conversion to adjust the brightness of the lighting, a light sensor dimming control system. According to claim 1,
The daylight illuminance prediction algorithm calculates the daylight illuminance prediction slope for the working surface illuminance and the sensing value of the photosensor according to the dimming level of each lighting fixture in the learning process, and when learning is completed, the light sensor based on the daylight illuminance prediction gradient A light sensor dimming control system that provides a predicted value of the working surface illuminance corresponding to the sensed value of . In the optical sensor dimming control method performed by the optical sensor dimming control system,
a) receiving a sensed value by detecting an amount of light flowing into a preset indoor space by an optical sensor;
b) receiving the final working surface illuminance in which the illuminance value of the direct working surface of the lighting equipment and the indirect illuminance value of at least one or more lighting equipment disposed around the lighting equipment are added through the illuminance meter located in the direction facing the lighting equipment step;
c) learning a daylight illuminance prediction algorithm using the sensing value of the photosensor and the final working surface illuminance; and
d) predicting the working surface illuminance using the sensing value provided from the photosensor through the learned daylight illuminance prediction algorithm; and
e) controlling the lighting brightness of an actual indoor space according to the predicted working surface illuminance and maintaining it at a preset target illuminance. 6. The method of claim 5,
Step e) is,
Comparing the predicted working surface illuminance with the target illuminance, calculating a required dimming value, calculating a dimming level based on the required dimming value, and providing a lighting control signal, the light sensor dimming control method. 7. The method of claim 6,
The lighting fixture to which the optical sensor that has transmitted the sensed value in step d) converts the lighting control signal into a lighting driving signal through digital/analog conversion to adjust the brightness of the lighting, an optical sensor dimming control method. 6. The method of claim 5,
The daylight illuminance prediction algorithm calculates the daylight illuminance prediction slope for the working surface illuminance and the sensing value of the photosensor according to the dimming level of each lighting fixture in the learning process, and when learning is completed, the light sensor based on the daylight illuminance prediction gradient A method for controlling illumination of an optical sensor that provides a predicted value of the working surface illuminance corresponding to the sensed value of . at least one optical sensor attached to a ceiling surface or a lighting fixture to detect an amount of light flowing into a preset indoor space and provide a sensed value;
It is installed on the indoor working surface located in the direction facing the lighting equipment, and the illuminance value of the direct working surface of the lighting equipment, the first indirect illuminance value by at least one or more lighting equipment arranged around the lighting equipment, and the indoor space. at least one illuminance meter measuring a second indirect illuminance value by the height of the installed awning, and providing a final working surface illuminance by integrating the direct working surface illuminance value and the first and second indirect illuminance values; and
The daylight illuminance prediction algorithm is learned using the sensing value of the photosensor and the final working surface illuminance, and the working surface illuminance is predicted according to the sensed value detected by the photosensor according to the learned daylight illuminance prediction algorithm, and the prediction A light sensor dimming control system comprising a lighting controller to maintain a preset target illuminance by controlling the luminance of the actual indoor space according to the illuminance of the working surface. 10. The method of claim 9,
The daylight illuminance prediction algorithm calculates the daylight illuminance prediction slope for the working surface illuminance and the sensing value of the photosensor according to the dimming level of each lighting fixture in the learning process, and when learning is completed, the light sensor based on the daylight illuminance prediction gradient A light sensor dimming control system that provides a predicted value of the working surface illuminance corresponding to the sensed value of . 10. The method of claim 9,
The lighting controller is
The light sensor dimming control system that calculates the shading effect by calculating the ratio of the predicted value of the working surface illuminance of each luminaire for each height of the awning and the actual measured value of the working surface illuminance. 12. The method of claim 10 or 11,
The lighting controller reflects the shading effect to correct the predicted slope of the daylight illuminance, an optical sensor dimming control system. In the optical sensor dimming control method performed by the optical sensor dimming control system,
a) receiving a sensed value by detecting an amount of light flowing into a preset indoor space by an optical sensor;
b) the illuminance value of the direct working surface of the lighting fixture through the illuminance meter located in the direction facing the lighting fixture, the first indirect illuminance value by at least one lighting fixture disposed in the periphery of the lighting fixture, and the awning installed in the indoor space measuring a second indirect illuminance value according to the height and receiving the final working surface illuminance by integrating the direct working surface illuminance value with the first and second indirect illuminance values;
c) learning a daylight illuminance prediction algorithm using the sensing value of the photosensor and the final working surface illuminance; and
d) predicting the working surface illuminance using the sensing value provided from the photosensor through the learned daylight illuminance prediction algorithm; and
e) controlling the lighting brightness of an actual indoor space according to the predicted working surface illuminance and maintaining it at a preset target illuminance. In the optical sensor dimming control method performed by the optical sensor dimming control system,
a) setting a target illuminance for a preset indoor space;
b) measuring a sensing value of the amount of light flowing into the indoor space through an optical sensor attached to the lighting device, and measuring the ceiling illuminance value through an optical sensor attached to the ceiling surface or the lighting device;
c) predicting a working surface illuminance according to the sensing value of each optical sensor through a daylight illuminance prediction algorithm, and calculating a required dimming value for each lighting device by comparing the predicted working surface illuminance with a target illuminance; and
d) after turning on the lighting fixture, measuring the illuminance of the working surface directly under the lighting fixture through the optical sensor, and verifying the target illuminance accuracy by comparing the measured illuminance of the working surface with the target illuminance, Light sensor dimming control method. 15. The method of claim 14,
The target illuminance accuracy is calculated by the following equation,
[Equation]

In the above equation, n represents the number of measurement points subject to accuracy evaluation, the light sensor dimming control method. 16. The method of claim 15,
The target illuminance accuracy is calculated by calculating only the measured value of the illuminance of the working surface directly below the measuring point where insufficient illuminance occurs compared to the target illuminance.

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