JP2020035591A - Lighting failure detection device, lighting control device, and lighting failure detection method - Google Patents

Abstract

To detect a lighting failure of a lighting device at low cost even at a facility where a plurality of lighting devices are installed.SOLUTION: A lighting failure determination unit 16 compares the time-series change of pixel values of the pixels of the plurality of pixels selected from a thermal image, and determines a lighting device Q corresponding to the pixel position of the pixel to be defective lighting when there is a pixel whose time-series change is different from other pixels.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a lighting failure detection technique for detecting a lighting failure of a lighting device installed in a facility.

  In large buildings such as buildings, so-called whole-building air conditioning, which controls a comfortable air-conditioning environment anytime and anywhere, regardless of the presence / absence of people, has been common. An air-conditioning control technology that realizes energy saving by detecting the position of a occupant in a room and stopping air conditioning and lighting in an area where no occupant is present is being introduced.

  As one of the air conditioning control technologies, there is a lighting control technology (for example, see Patent Document 1). According to the lighting control technology, a thermal image (thermography) of a room is detected by, for example, a plurality of infrared sensors mounted on a wall or a ceiling, and a human area indicating a surface temperature of a human is searched from the obtained thermal images. As a result, it is possible to detect the occupant and control the air-conditioning environment in a comfortable air-conditioning environment limited to the space or area where the occupant is.

  In such lighting control technology, an infrared detection element called a pyroelectric infrared sensor, such as a thermopile, a thermistor, or a porometer type, is used to detect the presence or absence of a person in the lighting area of the lighting device, and to detect the result of the person detection. A technique of turning on and off a lighting device based on the information is used. Thus, when a person present in the illumination area moves, illuminance change and heat transfer occur, and the lighting device is controlled to turn on and off based on the result of detection of the person detected by the illuminance change and heat transfer. Will be.

  When such a lighting control technology is introduced, there are many reports from the occupants that the illuminating devices do not turn on despite the presence of the occupants in the lighting area. Such declarations are not due to lighting control, but include those due to lighting failure of lighting equipment, such as a broken fluorescent lamp. However, with the conventional lighting control technology, it is not possible to detect the lighting failure of the lighting equipment, and therefore, it is necessary for the manager to go to the declared lighting area and check the lighting failure of the lighting equipment.

  Due to recent energy-saving consciousness, there are lighting devices that use LEDs as light sources, but in many cases, fluorescent lamps are used as light sources, and the life of general fluorescent lamps is said to be about several years. . As a lighting failure detection technology for detecting lighting failure of such lighting equipment, a current detector constantly monitors a current flowing through a light bulb, and determines a lighting failure when the current value is different from a normal current value at the time of lighting. It has been proposed (for example, see Non-Patent Document 1).

JP 2012-057840 A

"Detection of bulb burnout-application examples | OMRON control equipment", [online], 2011/04/13 information update, OMRON Corporation, [2018/8/6 search], Internet <URL: https: // www .fa.omron.co.jp / products / applications / case / 407.html> Searched August 6, 2018,

  However, according to such lighting failure detection technology, it is necessary to additionally install a current detector for each existing lighting device. There is a problem that high cost is required and it is difficult to introduce easily.

  The present invention is intended to solve such a problem, and provides a lighting failure detection technology that can detect lighting failure of a lighting device at a low cost even in a facility in which a plurality of lighting devices are installed. It is an object.

  In order to achieve such an object, a lighting failure detection device according to the present invention is configured to detect a lighting failure of a lighting device installed in a space based on a thermal image detected from a target space. In the detection device, a storage unit that stores the thermal image in time series, and compares the time series change of pixel values among a plurality of pixels selected from the thermal image, and the time series change is other pixels And a lighting failure determination unit that determines that the lighting device corresponding to the pixel position of the pixel has a lighting failure when a different pixel exists.

  Further, in one configuration example of the lighting failure detection device according to the present invention, the storage unit may display all or a part of each pixel included in the thermal image with a pixel value when the lighting device normally turns on and off. Based on the similarity of the time-series change, a pixel group list obtained by classifying the pixel groups into a plurality of pixel groups is stored in advance, and the lighting failure determination unit performs the processing for each of the pixel groups registered in the pixel group list. Comparing the time-series change of the pixel value between the pixels of each pixel belonging to the pixel group, and when there is a pixel whose time-series change is different from other pixels, the pixel corresponding to the pixel position of the pixel The lighting device is determined to be defective in lighting.

  In one configuration example of the lighting failure detection device according to the present invention, the lighting failure determination unit may classify each pixel belonging to the pixel group into a subgroup based on the similarity of time-series data of each pixel value. If a plurality of subgroups are obtained after classification, a subgroup having the smallest change in time-series data representing each of the subgroups is selected from these subgroups, and pixels belonging to the selected subgroup are selected. The lighting device corresponding to the pixel position is determined to have a lighting failure.

  Further, the lighting control device according to the present invention detects a person present in the space based on the thermal image detected from the target space, and is installed in the space based on the obtained human detection result. A lighting control device for controlling lighting devices to be turned on and off, wherein a storage unit that stores the thermal image in time series and a time-series change in pixel value between a plurality of pixels selected from the thermal image are compared. A lighting failure determining unit that determines that the lighting device corresponding to the pixel position of the pixel has a lighting failure when there is a pixel whose time-series change is different from that of another pixel.

  Further, the lighting failure detection method according to the present invention is a lighting failure detection method used in a lighting failure detection device that detects a lighting failure of a lighting device installed in the space based on a thermal image detected from an elephant space. The method, wherein the storage unit stores the thermal image in chronological order, and the lighting failure determination unit compares the chronological change of pixel values among a plurality of pixels selected from the thermal image. A lighting failure determining step of determining that the lighting device corresponding to the pixel position of the pixel has a lighting failure when there is a pixel whose time-series change is different from that of another pixel.

  ADVANTAGE OF THE INVENTION According to this invention, the lighting failure of the illuminating equipment arrange | positioned in space can be detected from the thermal image of space. Therefore, it is not necessary to add a current detector for each lighting device, and even in a facility in which a plurality of lighting devices are installed, a lighting failure of the lighting device can be detected at low cost.

FIG. 2 is a block diagram illustrating a configuration of a lighting failure detection device. It is a structural example of a pixel group list. It is a flowchart which shows a lighting failure determination process.

Next, an embodiment of the present invention will be described with reference to the drawings.
[Lighting failure detection device]
First, a lighting failure detection device (illumination control device) 10 according to the present embodiment will be described with reference to FIG. FIG. 1 is a block diagram illustrating a configuration of the lighting failure detection device.
The lighting failure detection device 10 is composed of an information processing device such as an industrial controller or a server device as a whole, and based on a thermal image detected by an infrared sensor SP installed in the space R to be controlled, the lighting failure detection device 10 This is a device that detects a lighting failure of the installed lighting device Q.

The infrared sensor SP is a pyroelectric infrared sensor disposed on a ceiling or a wall of the space R, detects a thermal image of the floor of the R at regular intervals, and detects a lighting failure detection device via the communication line L1. It has the function of transmitting to 10.
The lighting device Q is a lighting device such as a fluorescent lamp installed on the ceiling of the space R, and has a function of turning on / off according to lighting control from the lighting failure detection device 10 via the communication line L1. I have.
The SP may be placed at a position where a thermal image of an illumination area provided for each lighting device Q can be detected, and there is no particular limitation on the positional relationship between SP and Q.

  The lighting failure detection device 10 includes a communication I / F unit 11, a thermal image acquisition unit 12, a storage unit 13, a human detection unit 14, a lighting control unit 15, and a lighting failure determination unit 16 as main functional units. . Among these functional units, the thermal image acquisition unit 12, the human detection unit 14, the illumination control unit 15, and the lighting failure determination unit 16 are realized by cooperation of a central processing unit (CPU) and a program.

  In the present embodiment, an example will be described in which the lighting failure detection device 10 has a lighting control function of controlling lighting on and off of the lighting device Q disposed in the space R, that is, a lighting control device. It is not limited to this. In the case where the lighting control function is not provided, it is sufficient that the communication I / F unit 11, the thermal image acquisition unit 12, the storage unit 13, and the lighting failure determination unit 16 are provided as main functional units.

The communication I / F unit 11 has a function of performing data communication with the infrared sensor SP and the lighting device Q via the communication line L1.
The thermal image acquisition unit 12 has a function of acquiring a thermal image from the infrared sensor SP received by the communication I / F unit 11 and storing the thermal image in the storage unit 13 in chronological order.

  The storage unit 13 includes a storage device such as a hard disk or a semiconductor memory, and has a function of storing various types of processing information and programs used for lighting control processing in the lighting failure detection device 10. Main processing information stored in the storage unit 13 includes a pixel group list in addition to the thermal image acquired by the thermal image acquisition unit 12.

  The pixel group list classifies all or a part of each pixel included in the thermal image into a plurality of pixel groups based on a similarity of a time-series change of a pixel value when the lighting device Q normally turns on and off. This is the list obtained. FIG. 2 is a configuration example of a pixel group list. Here, for each group ID for identifying a pixel group, a pixel ID (pixel position) indicating a pixel belonging to the pixel group is registered as a set.

  In general, a thermal image obtained by the infrared sensor SP is image data in which pixels are two-dimensionally arranged in a vertical and horizontal matrix, and these pixels have a coordinate position based on a two-dimensional coordinate system set in advance in the space R. Each corresponds. Therefore, if the installation position of the lighting device Q installed in the space R is converted into a two-dimensional coordinate system, the correspondence between the pixel position of the pixel and the lighting device Q will be specified. It is assumed that the correspondence between these pixels and the lighting device Q is calculated in advance and stored in the storage unit 13.

The human detection unit 14 searches the temperature distribution obtained from the time-series thermal images stored in the storage unit 13 for a human area indicating the surface temperature of the human, based on the obtained search result. It has a function of detecting the position of a person in the space R and outputting the position as a result of the person detection.
The lighting control unit 15 has a function of turning on and off the lighting device Q installed in the space R based on the human detection result obtained by the human detection unit 14.

  The lighting failure determination unit 16 acquires a time-series thermal image stored in the storage unit 13 and compares a time-series change in a pixel value among a plurality of pixels selected from these thermal images, When there is a pixel whose sequence change is different from that of another pixel, it has a function of determining that the lighting device Q corresponding to the pixel position of the pixel is defective in lighting.

  Specifically, the lighting failure determination unit 16 determines, for each pixel group registered in the pixel group list stored in the storage unit 13, a time-series change in pixel value between pixels of each pixel belonging to the pixel group. And a function of determining that a lighting device Q corresponding to the pixel position of the pixel is defective in lighting when there is a pixel whose time series change is different from that of another pixel.

  The lighting devices Q provided in the space R such as an office room are not individually controlled for lighting one by one, but are controlled in conjunction with a plurality of adjacent lighting devices. Therefore, when the lighting of these lighting devices is controlled, the brightness of the lighting area of the lighting device Q that does not light due to lighting failure becomes darker than the lighting area of other normal lighting devices Q. Further, when the light-off control is performed, the brightness of both illumination areas is substantially the same. Therefore, the pixel values of the pixels corresponding to the positions of these illumination areas show different time-series changes according to the lighting / light-off control.

Specifically, when a certain lighting device Q does not turn on, the change amount and the change width in the presence or absence of lighting of the pixel value of the pixel corresponding to the lighting area are smaller than those of other normal lighting devices Q. Become. When a certain lighting device Q repeats blinking, the pixel value of the pixel corresponding to the lighting area changes irregularly.
The present invention focuses on the relationship between the presence / absence of such a lighting failure of the lighting device Q and the time-series change in brightness of each lighting area. A search is performed to determine that the lighting device Q corresponding to the pixel is defectively lit.

  As a method of generating a pixel group list, thermal images are acquired in time series when each lighting device Q normally turns on and off, and all or a part of each pixel included in these thermal images is replaced with each pixel. There is a method of classifying into a plurality of pixel groups based on the similarity of the time-series change of the value. At this time, a pixel group is provided for each set of the lighting devices Q that are controlled in conjunction in the space R, and among the pixels corresponding to the lighting area of the lighting device Q belonging to the same pixel group, the similarity of the time-series change is high. Pixels may be registered as pixels belonging to the Chikai pixel group. This makes it possible to reduce the processing load of the lighting failure determination process as compared with the case where all pixels are processed. Further, the method of generating the pixel group list is not limited to this, and may be generated by another method.

[Operation of the present embodiment]
Next, the operation of the lighting failure detection device 10 according to the present embodiment will be described with reference to FIG. FIG. 3 is a flowchart illustrating the lighting failure determination process.
The lighting failure detection device 10 may be configured such that each time a new thermal image is acquired by the thermal image acquisition unit 12, in response to the arrival of a preset determination timing, or in response to a determination start instruction input from outside the device. The lighting failure determination processing of FIG. 3 is executed.

First, the lighting failure determination unit 16 acquires a time-series thermal image stored in the storage unit 13 (step 100), and performs a lighting failure determination process based on the pixel group list also stored in the storage unit 13. One unselected pixel group that has not been processed is selected (step 101).
Next, the lighting failure determination unit 16 compares the time series changes of the respective pixel values among the pixels belonging to the selected pixel group (Step 102).

  Here, it is confirmed whether or not there is a pixel belonging to the selected pixel group that is different from the time series change of the other pixels (step 103). At this time, regarding the difference (similarity) of the time series change, for example, a Euclidean distance or a correlation value regarding time series data indicating pixel values of two pixels is calculated and compared with a preset threshold value. Thus, it may be determined whether or not the time series changes are different.

  In step 103, when a pixel having a different time-series change is found (step 103: YES), the lighting failure determination unit 16 determines that the lighting device Q corresponding to the pixel position of the pixel is defective, and stores the determination result. The information is recorded in the unit 13 (step 104). At this time, when a plurality of groups of pixels having similar time-series changes are found, the group having the smallest number of pixels belonging to each group may be selected as the pixel indicating the lighting failure.

  For example, each pixel belonging to the pixel group is classified into subgroups based on the similarity of the time series data of the respective pixel values, and when a plurality of subgroups are obtained, each of the subgroups is Of the time-series data representing the sub-group of, for example, changes of the time-series data obtained by performing statistical processing such as averaging the time-series data of each pixel belonging to the sub-group (change width, variation amount, change rate) ) May select the smallest subgroup, and determine that the lighting device Q corresponding to the pixel position of the pixel belonging to the selected subgroup is defective in lighting.

On the other hand, if no pixel having a different time-series change is found (step 103: NO), it is determined that there is no lighting failure (step 105).
The determination result of the lighting failure may be displayed on a screen display unit (not shown) of the lighting failure detection device 10, or may be notified to a higher-level device (not shown) via the communication line L1.

Thereafter, the lighting failure determination unit 16 checks whether the selection has been completed for all the pixel groups (step 105). If there is an unselected pixel group (step 105: NO), the process returns to step 101.
On the other hand, when the selection has been completed for all pixel groups (step 105: YES), a series of lighting failure determination processing ends.

[Effects of the present embodiment]
As described above, in the present embodiment, the lighting failure determination unit 16 compares the time-series change of the pixel value among the plurality of pixels selected from the thermal image, and determines that the pixel whose time-series change is different from other pixels is If there is, the lighting device Q corresponding to the pixel position of the pixel is determined to be defective.

  Thereby, the lighting failure of the lighting device Q arranged in the space R can be detected from the thermal image of the space R. Therefore, it is not necessary to add a current detector for each lighting device Q, and even in a facility in which a plurality of lighting devices Q are installed, a lighting failure of the lighting device can be detected at low cost. In this case, an infrared sensor for acquiring a thermal image is required. However, the illumination area of a plurality of lighting devices Q can be covered by one infrared sensor, and compared with a case where a current detector is added for each lighting device Q. Thus, cost increase can be suppressed. In particular, when the lighting device Q is controlled based on the result of human detection in the space R, the thermal image for human detection can also be used, and there is no need to add an infrared sensor. It is.

Further, in the present embodiment, the storage unit 13 stores all or a part of each pixel included in the thermal image based on the similarity of the time-series change of the pixel value when the lighting device Q normally turns on and off. The pixel group list obtained by classifying the pixel groups into a plurality of pixel groups is stored in advance, and the lighting failure determination unit 16 determines, for each pixel group registered in the pixel group list, the number of pixels of each pixel belonging to the pixel group. , The time-series change of the pixel value is compared, and if there is a pixel whose time-series change is different from that of the other pixels, the lighting device Q corresponding to the pixel position of the pixel may be determined to have lighting failure. .
Thereby, even when there are a plurality of sets of lighting devices Q that are controlled in the space R, a lighting failure of the lighting devices Q can be detected for each set.

Further, in the present embodiment, each pixel belonging to the pixel group is classified into subgroups based on the similarity of the time series data of the respective pixel values, and when a plurality of subgroups are obtained, From among the groups, a subgroup having the smallest change width of the time series data representing each subgroup is selected, and the lighting device Q corresponding to the pixel position of the pixel belonging to the selected subgroup is determined to be defective. It may be.
This makes it possible to accurately determine the lighting failure of the lighting device Q.

[Expansion of Embodiment]
As described above, the present invention has been described with reference to the exemplary embodiments. However, the present invention is not limited to the exemplary embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

  DESCRIPTION OF SYMBOLS 10 ... Lighting failure detection device, 11 ... Communication I / F part, 12 ... Thermal image acquisition part, 13 ... Storage part, 14 ... Human detection part, 15 ... Lighting control part, 16 ... Lighting failure determination part, SP ... Infrared sensor , Q: lighting equipment, R: space, L1: communication line.

Claims (5)

A lighting failure detection device that detects a lighting failure of a lighting device installed in the space based on a thermal image detected from a target space,
A storage unit that stores the thermal images in chronological order,
Comparing the time-series change of the pixel value among the pixels of the plurality of pixels selected from the thermal image, and when there is a pixel in which the time-series change is different from other pixels, the pixel corresponding to the pixel position of the pixel A lighting failure detection device, comprising: a lighting failure determination unit that determines a lighting device to have a lighting failure. The lighting failure detection device according to claim 1,
The storage unit classifies all or a part of each pixel included in the thermal image into a plurality of pixel groups based on a similarity of a time-series change of a pixel value when the lighting device is normally turned on and off. Pixel group list obtained in advance is stored in advance,
The lighting failure determination unit compares, for each of the pixel groups registered in the pixel group list, a time-series change in a pixel value between pixels of each pixel belonging to the pixel group, and determines that the time-series change is another. When there is a pixel different from the pixel, the lighting device corresponding to the pixel position of the pixel is determined to be a lighting failure, and the lighting failure detection device is characterized in that it is determined. The lighting failure detection device according to claim 2,
The lighting failure determination unit classifies each pixel belonging to the pixel group into sub-groups based on the similarity of time-series data of respective pixel values, and when a plurality of sub-groups are obtained, From among the groups, a subgroup with the smallest change in the time series data representing each subgroup is selected, and the lighting device corresponding to the pixel position of the pixel belonging to the selected subgroup is determined to be defective lighting. Characteristic lighting failure detection device. A lighting control device that detects a person present in the space based on a thermal image detected from a target space and controls lighting devices installed in the space based on an obtained human detection result. And
A storage unit that stores the thermal images in chronological order,
Comparing the time-series change of the pixel value among the pixels of the plurality of pixels selected from the thermal image, and when there is a pixel in which the time-series change is different from other pixels, the pixel corresponding to the pixel position of the pixel A lighting control device, comprising: a lighting failure determination unit that determines a lighting device to have a lighting failure. A lighting failure detection method used in a lighting failure detection device that detects a lighting failure of a lighting device installed in the space based on a thermal image detected from a target space,
A storage unit that stores the thermal images in chronological order,
The lighting failure determination unit compares the time-series change of the pixel values among the plurality of pixels selected from the thermal image, and when there is a pixel whose time-series change is different from other pixels, the A lighting failure determination step of determining the lighting device corresponding to a pixel position to be a lighting failure.

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