JP2022124339A - Apparatus system, control method for apparatus system, program, and thermal image imaging device - Google Patents

Abstract

To provide an apparatus system capable of suppressing propagation of virus-infectious disease when a social distance is not kept in a building.SOLUTION: A thermal image capturing device 10 including thermal image capturing means captures a thermal image by the thermal image capturing means. The thermal image capturing device 10 includes distance calculation means, and the distance calculation means calculates a distance between persons on the basis of the thermal image captured by the thermal image capturing means. An illumination controller 40 includes apparatus control means, and the apparatus control means controls an illumination apparatus 20 as an example of a notification apparatus to notify of an alarm when the distance calculated by the distance calculation means is equal to or less than a predetermined threshold value.SELECTED DRAWING: Figure 1

Description

The present disclosure relates to an equipment system, an equipment system control method, a program, and a thermal imaging apparatus.

In recent years, facilities such as air conditioners and lighting equipment are installed in buildings represented by office buildings.
For example, when an air conditioner is installed in a building, the air conditioner detects a person in the air-conditioned area and performs appropriate air conditioning control so that the temperature and humidity are comfortable for that person. there is
More specifically, the air conditioner detects the positions of people in the air-conditioned area from the captured thermal image.

For example, Patent Literature 1 discloses an air conditioner that estimates the position of a person from a thermal image. In the air conditioner of Patent Document 1, the position of the person's feet in the thermal image acquired by the thermal image acquisition unit, the height of the thermal image acquisition unit from the floor, and the effective viewing angle of the thermal image acquisition unit are used to , is estimating a person's position.

JP 2019-135441 A

Recently, from the viewpoint of suppressing the spread of viral infections represented by COVID-19, it is required to maintain social distance even in buildings so that people do not get too close to each other. In the prior art described in Patent Literature 1 described above, it was not possible to suppress the spread of viral infections when such social distancing was not maintained.

Therefore, there is a demand for a technique that can suppress the spread of viral infections when social distance is not maintained in buildings.

The present disclosure has been made to solve the above problems, and includes a device system, a device system control method, and a program that can suppress the spread of viral infections when social distance is not maintained in a building. and to provide a thermal imaging apparatus.

In order to achieve the above object, the equipment system according to the present disclosure includes:
a thermal image capturing means for capturing a thermal image;
distance calculation means for calculating a distance between people based on the thermal image captured by the thermal image capturing means;
and device control means for causing a warning device to issue a warning when the distance calculated by the distance calculation means is equal to or less than a predetermined threshold value.

In the equipment system according to the present disclosure, the thermal image capturing means captures a thermal image. Further, the distance calculation means calculates the distance between persons based on the thermal image captured by the thermal image capturing means. Then, when the distance calculated by the distance calculation means is equal to or less than a predetermined threshold value, the device control means causes the notification device to issue a warning.
As a result, the spread of viral infections can be suppressed when social distance is not maintained in the building.

1 is a diagram showing an example of an overall configuration of a lighting system according to Embodiment 1 of the present disclosure; FIG. A diagram showing an example of the configuration of a thermal imaging device Diagram for explaining the imaging range of the thermal imaging device Diagram for explaining the installation state of the thermal imaging device and the imaging range A diagram for explaining the relationship between the y-coordinate in the thermal image and the distance on the floor surface. A diagram for explaining the pixel configuration of a thermal image It is a figure showing a specific example of a thermal image, (a) is a figure when the whole body of a person is reflected, and (b) is a figure when only the upper half of the person is reflected. A diagram showing an example of a thermal image shown in time series Illustration for explaining the difference in position between when a person is standing and when sitting A diagram showing an example of a table stored in various value management units A diagram for explaining the relationship between the linear distance from the thermal imaging device to the human head and the head size on the thermal image. FIG. 4 is a diagram for explaining that a straight line distance rd from the thermal imaging device to the person's head is obtained based on the head size on the thermal image; A diagram for explaining the relationship between the y-coordinate and the depression angle θ in a thermal image. A diagram for explaining that the distance r on the floor surface is obtained from the relationship between the straight-line distance rd and the depression angle θ. Diagram showing an example of the configuration of a lighting controller 4 is a flowchart for explaining position detection processing executed by a thermal imaging device and lighting control processing executed by a lighting controller; A diagram showing an example of the overall configuration of an air conditioning system according to Embodiment 2 of the present disclosure A diagram showing an example of the configuration of an air conditioning controller 4 is a flowchart for explaining position detection processing executed by a thermal imaging device and air conditioning control processing executed by an air conditioning controller;

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In the following embodiments, a lighting system and an air conditioning system will be described as examples of equipment systems, but the present disclosure can be similarly applied to general equipment systems. That is, the embodiments described below are for illustration and do not limit the scope of the present disclosure. Therefore, those skilled in the art can adopt embodiments in which each or all of these elements are replaced with equivalents, and these embodiments are also included in the scope of the present disclosure. In other words, the present disclosure is not limited to the embodiments described below, and can be modified in various ways without departing from the gist of the present disclosure.
Further, in each drawing described in the following embodiments, common elements are denoted by the same reference numerals.

(Embodiment 1)
FIG. 1 is a diagram illustrating an example of the overall configuration of a lighting system 1 according to Embodiment 1 of the present disclosure. This lighting system 1 is an example of an equipment system, and is installed in an office building, for example, to control lighting within a floor.
As shown in FIG. 1, the lighting system 1 includes a plurality of thermal imaging devices 10, a plurality of lighting devices 20, a concentrator 30, and a lighting controller 40. In addition, in Embodiment 1, the lighting device 20 corresponds to the notification device.

As shown in FIG. 2, the thermal image capturing device 10 includes a thermal image capturing unit 11 as an example of thermal image capturing means, a thermal image management unit 12, a human detection unit 13 as an example of position detection means, a distance It includes an information detection unit 14 that is an example of calculation means or number calculation means, a various value management unit 15 , a communication unit 16 that is an example of transmission means, and a control unit 17 . In the human detection unit 13, the information detection unit 14, and the control unit 17, for example, a CPU (Central Processing Unit) uses a RAM (Random Access Memory) as a work memory, and a program stored in a ROM is appropriately executed. It is realized by executing

The thermal image capturing unit 11 captures a thermal image in the target space. For example, the thermal image capturing unit 11 has a rotating mechanism, and acquires an image of 360° as one thermal image.
Specifically, as shown in FIG. 3, the thermal imaging device 10 is installed on the ceiling surface within the floor. Then, the thermal image capturing unit 11 captures a thermal image within the captureable range while operating the rotation mechanism. Note that, in the first embodiment, the thermal image capturing unit 11 corresponds to thermal image capturing means.
More specifically, as shown in FIG. 4, the thermal imaging device 10 is installed at an installation depression angle α with respect to the ceiling surface. Therefore, the thermal image capturing unit 11 can capture a range of an angle of view 2β centering on the installation depression angle α. That is, the minimum depression angle of the photographable range is α−β, and the maximum depression angle of the photographable range is α+β.
Here, assuming that the height from the floor where the thermal imaging device 10 is installed is h, and the position on the floor below the thermal imaging device 10 is P, the image is taken at the depression angle θ. The distance r on the floor from P in the case is obtained by the following formula.

[Number 1]
r = h/tan θ
(α-β≤θ≤α+β)

Therefore, the maximum distance rmax, which is the maximum value of the distance r, and the minimum distance rmin, which is the minimum value of the distance r, are obtained by the following formulas.

[Number 2]
rmax = h/tan (α-β)
rmin = h/tan (α + β)

More specifically, in FIG. 4, the installation depression angle α of the thermal imaging device 10 is 50°, the height h from the floor surface is 2.8 m, and the angle of view 2β of the thermal imaging unit 11 is 60°. A case will be described as an example. Further, a case where the number of pixels in the vertical direction of the thermal image captured by the thermal image capturing unit 11 is 120 will be described as an example.

In this case, the depression angle θ at which the maximum distance rmax is obtained is α−β, so it is 20° from 50−30. Also, the depression angle θ at which the minimum distance rmin is obtained is α+β, so it is 80° from 50+30. That is, the range of the depression angle θ in the photographable range is 20° to 80°.
Since the number of pixels in the vertical direction of the thermal image is 120, the range of the depression angle .theta. is divided by 60.degree. More specifically, the range of the depression angle θ is divided in increments of 0.5° from 20.25°, which is 20° plus 0.25° (0.5°/2), to 79.75°. become. As shown in FIG. 5, when this is represented by y coordinates of 119 to 0 for 120 pixels, the depression angle θ of 20.25° to 79.75° corresponds to the distance r of 7.59 m to 0.51 m. will do.

Then, the thermal image capturing unit 11 operates the rotating mechanism to capture a thermal image of 360°, so that a thermal image having a pixel configuration as shown in FIG. 6 is finally obtained. The pixel configuration of the thermal image shown in FIG. 6 shows an example of 3600 dots in the horizontal direction, that is, the x direction, and 120 dots in the vertical direction, that is, the y direction.
In the case of this thermal image, since there are 3600 dots from 0 to 3599 in the x direction, 360°/3600 dots increases the deflection angle φ by 0.1° per dot in the x direction. In other words, if the deflection angle φ, which is the starting point for creating a thermal image, is set to 0°, the deflection angle φ is up to 359.9° for one rotation in increments of 0.1°.
Then, the orthogonal coordinates (x, y) in such a thermal image can be converted into polar coordinates (r, φ) corresponding to the actual position in relation to FIG. 5 described above.
For example, the pixel at (x,y)=(10,80) in FIG. 6 is transformed to (r,φ)=(3.37,1.0). In other words, the object positioned at a distance r of 3.37 m and an angle of deviation φ of 1.0° is photographed.

Such a thermal image capturing unit 11 specifically captures thermal images as shown in FIGS. 7(a) and 7(b). FIG. 7(a) is an example of a thermal image of the whole body of a person, from the head to the legs. On the other hand, FIG. 7B is an example of a thermal image of a person's upper body, in which the head can be identified, but the legs are hidden behind fixtures and cannot be identified.

Returning to FIG. 2, the thermal image management unit 12 manages the thermal images captured by the thermal image capturing unit 11 in chronological order.
For example, the thermal image management unit 12 manages thermal images in chronological order, so that if there is movement of a person in the thermal image, the movement can be captured as shown in FIG. In addition, in the thermal image of FIG. 8, only the head of a person is shown. Since the person is moving in this way, it is possible to recognize that the person is walking in a standing position.

Returning to FIG. 2, the human detection unit 13 determines the presence or absence of a person from the thermal image captured by the thermal image capturing unit 11, and detects the position of the person if the person exists. In addition, in Embodiment 1, the human detection unit 13 corresponds to the position detection means.
For example, when determining that a person exists, the human detection unit 13 detects the position of the person from the position of the leg in the thermal image if the leg of the person can be identified. On the other hand, if the head can be identified even if the legs cannot be identified, the standing or sitting position is determined, and the position of the person is detected from the determination result and the head position in the thermal image.
For example, as shown in FIG. 9, when the legs of a person H1 are captured, the human detection unit 13 detects the actual position of the person H1 (r , φ) coordinates. In addition, when the legs are not captured, as in the case of the persons H2 and H3, the human detection unit 13 determines whether the person is standing or sitting, and the determination result and the (x, y) coordinates of the head in the thermal image are determined. , the (r, φ) coordinates, which are the actual positions of the persons H2 and H3, are detected.

For example, the average head height of a person standing is 1.6 m, and the average head height of a person sitting is 1.2 m. A case where the installation height h of the thermal imaging device 10 is 2.8 m and other installation states of the thermal imaging device 10 are the same as those described with reference to FIG. 4 will be described as an example. In this case, the various value management unit 15, which will be described later, stores a table as shown in FIG.
9, the human detection unit 13 refers to the y-coordinate and the item of the leg in the table of FIG. 10 to determine (r, φ) Detect the distance r in coordinates.
In addition, when the human detection unit 13 determines that the person is in a sitting position even if the legs are not photographed as in the case of the person H2 in FIG. and to detect the distance rsi at the (r, φ) coordinates.
Also, when the human detection unit 13 determines that the person is in a standing position even if the legs are not captured like the person H3 in FIG. 9, the human detection unit 13 , and the distance rst at the (r, φ) coordinates is detected.

Whether the user is in the standing position or the sitting position is determined from thermal images managed in time series by the thermal image management unit 12 described above. For example, the person detection unit 13 determines that the person is standing when the movement of the person can be recognized as shown in FIG. 8 described above. On the other hand, the human detection unit 13 determines that the person is in a sitting position when movement of the person cannot be recognized in the thermal images managed in chronological order. It should be noted that the standing or sitting position determination method described above is merely an example, and other methods may be used for determination. For example, in an office, the head position of each person sitting on a chair is registered in advance, and the head position of the person reflected in the thermal image is a specified distance from any of the registered head positions. If the distance is within the range, the sitting position may be determined, and otherwise the standing position may be determined.

Further, the human detection unit 13 may detect the position of the person from the size of the person's head reflected in the thermal image.
For example, a correspondence table as shown in FIG. 11 is stored in the various value management unit 15, which will be described later. The correspondence table shown in FIG. 11 shows the correspondence between the distance rd from the thermal imaging device 10 to the person's head and the head size hh on the thermal image, which is determined in advance by measurement or calculation. .
As the head size hh in FIG. 11, the head size in the horizontal direction with less error is adopted. In other words, while the error in the head size in the vertical direction increases due to the influence of the angle of looking down from the thermal imaging device 10, the head size in the horizontal direction is less susceptible to such effects. part size is used.
Also, the range of the distance rd is, for example, 0 to 8.0 m. Note that 8.0 m is the distance to the farthest end of the imaging range of the thermal imaging device 10 . Moreover, the step width in the range of the distance rd is 0.1 m as an example. Note that the step size is set in consideration of the allowable error in measuring the distance between people, the resolution of the thermal image, and the like.

Then, the human detection unit 13 refers to the head size in the horizontal direction of the person captured in the thermal image and the correspondence table of FIG. 11 to obtain the distance rd. For example, as shown in FIG. 12, when the head size in the horizontal direction on the thermal image is 50 dots, the human detection unit 13 refers to the correspondence table in FIG. ask for
Also, since the relationship between the y-coordinate in the thermal image and the angle of depression θ is as shown in FIG. 13, the angle of depression θ can be obtained from the head position in the thermal image. For example, when the y-coordinate of the head position in the thermal image is 80, the human detection unit 13 determines that the depression angle θ is 39.75°.
Therefore, as shown in FIG. 14, for a person whose head is photographed at a distance rd at a depression angle .theta. required by

[Number 3]
r = rd cos θ

For example, in FIG. 14, when the depression angle θ is 39.75° and the distance rd is 5.0 m, the human detection unit 13 determines that the distance r is 3 .84 m.
In this manner, the human detection unit 13 can detect the position of the person even from the size of the person's head reflected in the thermal image.

With the human detection unit 13 detecting the position of the person by the above-described method, the thermal imaging apparatus 10 of the first embodiment can detect the position of the person more accurately than the prior art described in Japanese Patent Application Laid-Open No. 2002-200013. In particular, when the prior art described in Patent Literature 1 is applied to a building represented by an office building, there is a problem that the position of a person cannot be estimated. For example, in an actual office, fixtures such as desks, chairs, shelves, and electronic devices are placed. It may happen that the department is hidden by fixtures. In that case, since the position of the leg of the person cannot be obtained from the thermal image, the prior art described in Patent Document 1 cannot estimate the position of the person. Since the thermal imaging apparatus 10 of Embodiment 1 solves the problem of the prior art described in Patent Document 1, it can detect the position of a person more accurately.

Returning to FIG. 2, the information detection unit 14 obtains the distance d between persons from the positions of each person detected by the person detection unit 13 . In addition, in Embodiment 1, the information detection part 14 corresponds to a distance calculation means.
For example, the information detection unit 14 obtains the distance d between people using the following formula. Let the (r, φ) coordinates of one person be (r1, φ1) and the (r, φ) coordinates of the other person be (r2, φ2).

Also, the information detection unit 14 may obtain the number of people per unit area. For example, the information detection unit 14 counts the number of people detected by the human detection unit 13 for each specified range, and obtains the number of people per unit area. In this case, the information detection unit 14 corresponds to the number-of-people calculation means.
Also, the information detection unit 14 may estimate the body temperature of the person detected by the human detection unit 13 . For example, the information detection unit 14 recognizes the person's forehead or face in the thermal image, and estimates the person's body temperature from the temperature at that part. Furthermore, the information detection unit 14 may determine whether or not the person is wearing a mask, for example, from the temperature difference between the upper part and the lower part of the face.

The various value management unit 15 manages various information required in the thermal imaging apparatus 10 .
For example, the various value management unit 15 acquires and holds the value of the installation height h of the thermal imaging device 10 . Note that a default value of the installation height h may be held in case the value of the installation height h cannot be acquired.
In addition, the various value management unit 15 holds values such as the installation depression angle α and the angle of view 2β of the thermal imaging device 10 that are predetermined in product specifications.
The various value management unit 15 also holds in advance the table shown in FIG. 10, the correspondence table shown in FIG. 11, and the like.
Further, the various value management unit 15 may acquire and store threshold values such as the upper limit of the number of people per unit area and the upper limit of normal body temperature.

The communication unit 16 transmits various information to the lighting controller 40 through the concentrator 30 . For example, the communication unit 16 transmits information such as (r, φ) coordinates, which are the actual positions of people detected by the human detection unit 13, and the distance d between people obtained by the information detection unit 14, to the lighting controller 40. Send to Also, the communication unit 16 may transmit information on the number of people per unit area to the lighting controller 40 . In addition, in Embodiment 1, the communication part 16 corresponds to a transmission means.
Furthermore, the communication unit 16 may be capable of communicating with a smart phone, a personal computer, or the like. For example, when the thermal imaging device 10 is installed, the communication unit 16 communicates with the builder's smartphone and receives the value of the set height h input by the builder. The communication unit 16 supplies the received value of the set height h to the various value management unit 15 to store it. In addition, as will be described later, the communication unit 16 may transmit warning messages, warning images, and the like to smartphones, personal computers, and the like used by people on the floor.

The control unit 17 controls the entire thermal imaging apparatus 10 .
For example, the control unit 17 controls the thermal image capturing unit 11 to periodically capture thermal images. Further, every time the thermal image capturing unit 11 finishes capturing a thermal image, the control unit 17 controls the human detection unit 13 to detect the position of the person in the thermal image, and controls the information detection unit 14 . to calculate the distance between people. Then, the control unit 17 controls the communication unit 16 to transmit information including the distance between people to the lighting controller 40 .

Returning to FIG. 1, the lighting device 20 is lighting using, for example, a fluorescent lamp, an LED, or the like as a light source, and is installed on the ceiling within the floor. The lighting equipment 20 not only turns on/off the lighting but also changes the emission color, brightness, etc., according to the control from the lighting controller 40 .

The line concentrator 30 is, for example, a hub (HUB), and transmits information sent from the plurality of thermal imaging devices 10 to the illumination controller 40 . Also, the information sent from the lighting controller 40 is sent to the target thermal imaging device 10 .

As shown in FIG. 15, the lighting controller 40 includes a lighting control unit 41 as an example of device control means, a warning determination unit 42 as an example of determination means, a control communication unit 43, and an information processing unit as an example of reception means. A communication unit 44 and a control unit 45 are provided. Note that the illumination control unit 41, the warning determination unit 42, and the control unit 45 are realized by, for example, the CPU using RAM as a work memory and appropriately executing programs stored in the ROM.

The lighting control unit 41 controls lighting or extinguishing of the lighting device 20 . In addition, in Embodiment 1, the illumination control part 41 corresponds to a device control means.
Further, as will be described later, when the warning determination unit 42 determines that it is necessary to issue a warning, the lighting control unit 41 controls the lighting device 20 for warning. For example, the lighting control unit 41 controls the lighting device 20 to change the emission color, brightness, and the like of the lighting. Alternatively, the lighting control unit 41 may control the lighting device 20 to blink at a predetermined tempo.

The warning determination unit 42 determines whether or not to issue a warning according to the information received from the thermal imaging device 10 . For example, when the information about the distance d between people is sent from the thermal imaging device 10, the warning determination unit 42 determines that a warning should be issued if the distance d is equal to or less than a threshold value. do. In addition, when information on the number of people per unit area is sent from the thermal imaging apparatus 10, the warning determination unit 42 determines that a warning should be issued when the number of people is equal to or greater than a threshold value. In addition, in Embodiment 1, the warning determination part 42 corresponds to a determination means.
The lighting controller 40 manages the installation position of each lighting device 20 on the floor, and when it determines that a warning should be issued, the warning determination unit 42 determines whether the lighting device to be controlled Identify 20. For example, if the distance d between people is equal to or less than a threshold value, the warning determination unit 42 identifies the lighting device 20 installed closest to the positions of those people. Also, if the number of people per unit area is equal to or greater than the threshold value, the warning determination unit 42 identifies a plurality of lighting devices 20 installed in the corresponding range. In addition, in Embodiment 1, the warning determination unit 42 corresponds to the device specifying means.

The control communication unit 43 communicates with the lighting equipment 20 .

The information communication unit 44 communicates with the thermal imaging device 10 through the concentrator 30 . For example, the information communication unit 44 receives information including the distance d between people sent from the thermal imaging device 10 . In addition, in Embodiment 1, the information communication unit 44 corresponds to the receiving means.

The control unit 45 controls the lighting controller 40 as a whole.

The operation of the lighting system 1 having such a configuration will be described below with reference to FIG. 16 . FIG. 16 is a flow chart for explaining the position detection process executed by the thermal imaging device 10 and the lighting control process executed by the lighting controller 40. FIG. This position detection processing and illumination control processing are repeatedly executed, for example, at a prescribed cycle.

First, the thermal imaging device 10 determines whether or not the set height value has been acquired (step S101). That is, the thermal imaging device 10 determines whether or not the value of the height h in FIG. 4 described above has been obtained.

When the thermal imaging apparatus 10 determines that the set height value has been acquired (step S101; Yes), the process proceeds to step S103, which will be described later.

On the other hand, when it is determined that the set height value has not been acquired (step S101; No), the thermal imaging apparatus 10 acquires the set height value (step S102).
For example, the thermal imaging device 10 acquires the value of the height h at which the thermal imaging device 10 is installed by communicating with the builder's smartphone. Specifically, when a setting application is executed on the builder's smartphone and the value of the installation height h is input according to the request of the setting application, the value is supplied to the various value management unit 15 through the communication unit 16. It is designed to be retained.

The thermal image capturing device 10 captures a thermal image (step S103).
That is, the thermal image capturing unit 11 operates the rotation mechanism to capture a thermal image of 360°. For example, the thermal image capturing unit 11 obtains a thermal image having a pixel configuration as shown in FIG. 6 described above. Note that the process of step S103 corresponds to the thermal image capturing step in the first embodiment.

The thermal imaging device 10 detects the position of each person from the thermal image (step S104).
That is, the human detection unit 13 determines the presence or absence of a person from the thermal image captured in step S103, and detects the position of the person if the person exists. Note that the processing of step S104 corresponds to the position detection step in the first embodiment.
For example, as shown in FIG. 9 described above, when the legs of the person H1 are captured, the human detection unit 13 detects the actual position of the person H1 from the (x, y) coordinates of the legs in the thermal image. Find the (r, φ) coordinates. In addition, when the legs are not captured, as in the case of the persons H2 and H3, the human detection unit 13 determines whether the person is standing or sitting, and the determination result and the (x, y) coordinates of the head in the thermal image are determined. , the (r, φ) coordinates, which are the actual positions of the persons H2 and H3, are detected.
Whether the subject is standing or sitting is determined from thermal images managed in chronological order. For example, the human detection unit 13 determines that the person is standing when movement of a person can be recognized in the thermal images managed in time series as shown in FIG. 8 described above. On the other hand, the human detection unit 13 determines that the person is in a sitting position when movement of the person cannot be recognized in the thermal images managed in chronological order.

The thermal imaging device 10 calculates the distance d between people (step S105).
That is, the information detection unit 14 obtains the distance d between the persons from the positions of the persons detected in step S104. Note that the process of step S105 corresponds to the distance calculation step in the first embodiment.
For example, the information detection unit 14 obtains the distance d between people according to the formula shown in Equation 4 above.
Further, the information detection unit 14 may obtain the number of people per unit area in step S105. In this case, the processing of step S105 corresponds to the number of persons calculation step.

The thermal imaging device 10 transmits information including the distance d (step S106).
For example, the communication unit 16 transmits information such as the position of each person detected in step S104 and the distance d between people calculated in step S105 to the lighting controller 40 . Also, the communication unit 16 may transmit information on the number of people per unit area to the lighting controller 40 . Note that the process of step S106 corresponds to the transmission step in the first embodiment.

When information is transmitted from the thermal imaging device 10 in this way, the illumination controller 40 receives information including the distance d (step S201).
That is, the information communication unit 44 receives information including the distance d. Note that the processing of step S201 corresponds to the receiving step in the first embodiment.

The lighting controller 40 determines whether or not the received information is equal to or less than the threshold (step S202). Note that the process of step S202 corresponds to the determination step in the first embodiment.
For example, the warning determination unit 42 determines whether the distance d is equal to or less than the threshold in the information received in step S201. Note that the warning determination unit 42 determines that a warning is necessary when the distance d is less than or equal to the threshold value, and determines that a warning is not necessary when the distance d is greater than the threshold value.
In addition, if the information received in step S201 includes the number of people per unit area, the warning determination unit 42 may determine whether or not the number of people is equal to or greater than a threshold value. good. Note that the warning determination unit 42 determines that a warning is required when the number of people per unit area is equal to or greater than the threshold, and when the number of people per unit area is less than the threshold, a warning is required. determine if it is not.

If the lighting controller 40 determines that it is not equal to or less than the threshold value (step S202; No), it ends the lighting control process.

On the other hand, if it is determined to be equal to or less than the threshold value (step S202; Yes), the lighting controller 40 identifies the corresponding lighting device 20 (step S203). Note that the process of step S203 corresponds to the device specifying step in the first embodiment.
For example, when the distance d is equal to or less than a threshold value, the warning determination unit 42 identifies the lighting device 20 installed closest to the positions of those people.
In addition, when the number of people per unit area is equal to or greater than the threshold value, the warning determination unit 42 identifies a plurality of lighting devices 20 installed in the corresponding range.

The lighting controller 40 controls the identified lighting device 20 to display a warning (step S204). Note that the process of step S204 corresponds to the device control step in the first embodiment.
For example, the lighting control unit 41 controls the lighting device 20 to change the emission color, brightness, and the like of the lighting. Alternatively, the lighting control unit 41 may control the lighting device 20 to blink at a predetermined tempo.

With such position detection processing, it is possible to detect the positions of people more accurately, and accordingly, the distance between people or the number of people per unit area can also be calculated more accurately. Then, by the lighting control processing, when the distance between people is shorter than specified, or when the number of people per unit area is larger than specified, the lighting equipment 20 is controlled to issue a warning.
As a result, the spread of viral infections can be suppressed when social distance is not maintained in the building.

In the above-described first embodiment, the case of controlling the normal lighting device 20 has been described. The warning may be notified by displaying an image or the like on the floor surface or the wall surface. In this case, the projector corresponds to the notification device.
In addition, when the lighting controller 40 can communicate with terminal devices such as smartphones and personal computers used by people present on the floor, warning messages, warning images, etc. can be sent to those terminal devices. You may make it alert|report a warning by transmitting. In this case, the terminal device corresponds to the notification device.
Further, when the lighting controller 40 can send an instruction to the public address in the hall, the warning may be notified through an acoustic device such as a speaker, a buzzer, or the like provided in the public address in the hall. In this case, the audio equipment for in-house broadcasting corresponds to the notification device.

(Embodiment 2)
Although the lighting system 1 has been described as an example of the equipment system in the first embodiment, other equipment systems may be used. The air conditioning system 2 according to Embodiment 2 of the present disclosure will be described below.

FIG. 17 is a diagram showing an example of the overall configuration of the air conditioning system 2 according to Embodiment 2 of the present disclosure. This air conditioning system 2 is an example of an equipment system, and is installed in an office building, for example, to control the air conditioning in the floor.
As shown in FIG. 17, the air conditioning system 2 includes a plurality of thermal imaging devices 10, a plurality of air conditioners 50, a concentrator 30, and an air conditioning controller 60.
Note that the thermal imaging device 10 and the concentrator 30 have the same configuration as the lighting system 1 according to the first embodiment.

The air conditioner 50 is, for example, an indoor unit installed on the ceiling within the floor, and is connected to an outdoor unit (not shown) installed outdoors through a pipe. The air conditioner 50 has, for example, an expansion valve and a heat exchanger, and the temperature or humidity of the target space is adjusted by evaporating or condensing the refrigerant sent from the outdoor unit through piping in the heat exchanger. adjustment. In this case, the air conditioner 50 has an air blowing function in order to suck the air in the floor into the indoor unit and blow the air heated or cooled by the heat exchanger into the floor.
Further, the air conditioner 50 is, for example, a ventilation device that ventilates the floor, and discharges the air inside the floor to the outside of the floor or supplies the air outside the floor to the inside of the floor. In this case, the air conditioner 50 has a ventilation function.
Note that the air conditioner 50 may have both a blowing mechanism and a ventilation function.

As shown in FIG. 18, the air conditioning controller 60 includes an air conditioning control unit 61 that is an example of device control means, a ventilation determination unit 62 that is an example of determination means, a control communication unit 63, and information that is an example of reception means. A communication unit 64 and a control unit 65 are provided. The air-conditioning control unit 61, the ventilation determination unit 62, and the control unit 65 are implemented by, for example, the CPU using RAM as a work memory and appropriately executing programs stored in the ROM.

The air conditioning control unit 61 controls the air conditioner 50 to adjust the temperature or humidity in the floor. Incidentally, in the second embodiment, the air conditioning control unit 61 corresponds to the device control means.
Further, as will be described later, when the ventilation determination unit 62 determines that it is necessary to perform ventilation, the air conditioning control unit 61 controls the air conditioner 50 to prompt ventilation.
As a control to promote ventilation, for example, when the air conditioner 50 has a blowing function, the air conditioning control unit 61 controls the opening of an open window or the suction port of a device having a ventilation function such as a ventilation fan or a range hood. The air volume of the air conditioner 50 is maximized in the direction of to ventilate the air in the floor.
Further, as control to promote ventilation, for example, when the air conditioner 50 has a blowing function, the air conditioning control unit 61 directs the air volume of the air conditioner 50 toward the corner of the floor or the wall surface where air tends to stay. By maximizing the movement of air located in areas where air tends to stagnate, the air in the entire floor may be ventilated.
Further, as a control to encourage ventilation, for example, when the air conditioner 50 has a ventilation function, the air conditioning control unit 61 may operate the air conditioner 50 with the ventilation function maximized.

The ventilation determination unit 62 determines whether ventilation should be performed according to the information received from the thermal imaging device 10 . For example, when the information on the distance d between people is sent from the thermal imaging device 10, the ventilation determination unit 62 determines that ventilation should be performed when the distance d is equal to or less than a threshold value. do. Further, when the information on the number of people per unit area is sent from the thermal imaging apparatus 10, the ventilation determination unit 62 determines that ventilation should be performed when the number of people is equal to or greater than the threshold value. In addition, in Embodiment 2, the ventilation discrimination|determination part 62 corresponds to a discrimination|determination means.
The air conditioning controller 60 manages the installation positions within the floor where each air conditioner 50 is installed and the installation positions of the windows that are slightly open. Then, when it is determined that ventilation should be performed, the ventilation determination unit 62 specifies the air conditioner 50 to be controlled. For example, if the distance d between people is equal to or less than a threshold value, the ventilation determining unit 62 identifies the air conditioner 50 installed closest to the positions of those people. Moreover, if the number of people per unit area is equal to or greater than the threshold value, the ventilation determination unit 62 identifies a plurality of air conditioners 50 installed in the corresponding range. In addition, in Embodiment 2, the ventilation discrimination|determination part 62 corresponds to a device identification means.

The control communication unit 63 communicates with the air conditioner 50 .

The information communication unit 64 communicates with the thermal imaging device 10 through the concentrator 30 . For example, the information communication unit 64 receives information including the distance d between people sent from the thermal imaging device 10 . In addition, in the second embodiment, the information communication unit 64 corresponds to the receiving means.

The control unit 65 controls the entire air conditioning controller 60 .

The operation of the air conditioning system 2 having such a configuration will be described below with reference to FIG. 19 . FIG. 19 is a flow chart for explaining the position detection process executed by the thermal imaging device 10 and the air conditioning control process executed by the air conditioning controller 60. FIG. This position detection processing and illumination control processing are repeatedly executed, for example, at a prescribed cycle.
Note that the position detection processing is the same as the processing in FIG. 16 described above, so it will be described briefly.

First, the thermal imaging apparatus 10 determines whether or not the value of the set height has been acquired (step S101). If it is determined that the value has been acquired (step S101; Yes), the process proceeds to step S103, which will be described later. .

On the other hand, when it is determined that the set height value has not been acquired (step S101; No), the thermal imaging apparatus 10 acquires the set height value (step S102).

The thermal image capturing device 10 captures a thermal image (step S103), detects the positions of each person from the thermal image (step S104), and further calculates the distance d between people (step S105). In step S105, the number of people per unit area may be obtained.

The thermal imaging device 10 transmits information including the distance d (step S106). In step S106, information on the number of people per unit area may be transmitted.

When information is transmitted from the thermal imaging device 10 in this way, the air conditioning controller 60 receives information including the distance d (step S301). Note that the processing of step S301 corresponds to the receiving step in the second embodiment.
That is, the information communication unit 64 receives information including the distance d.

The air conditioning controller 60 determines whether or not the received information is equal to or less than the threshold value (step S302). Note that the process of step S302 corresponds to the determination step in the second embodiment.
For example, the ventilation determination unit 62 determines whether the distance d is equal to or less than the threshold in the information received in step S301. The ventilation determination unit 62 determines that ventilation is necessary when the distance d is less than or equal to the threshold value, and determines that ventilation is not necessary when the distance d is greater than the threshold value.
In addition, if the information received in step S301 includes the number of people per unit area, the ventilation determination unit 62 may determine whether the number of people is equal to or greater than a threshold value. good. The ventilation determining unit 62 determines that ventilation is necessary when the number of people per unit area is equal to or greater than the threshold, and ventilation is necessary when the number of people per unit area is less than the threshold. determine if it is not.

When the air-conditioning controller 60 determines that it is not equal to or less than the threshold value (step S302; No), the air-conditioning control process is terminated.

On the other hand, if it is determined to be equal to or less than the threshold value (step S302; Yes), the air conditioning controller 60 identifies the corresponding air conditioner 50 (step S303). Note that the process of step S303 corresponds to the device specifying step in the second embodiment.
For example, if the distance d is less than or equal to a threshold value, the ventilation determination unit 62 identifies the air conditioner 50 that is installed closest to the positions of those people.
In addition, when the number of people per unit area is equal to or greater than the threshold value, the ventilation determination unit 62 identifies a plurality of air conditioners 50 installed in the corresponding range.

The air conditioning controller 60 controls the specified air conditioner 50 to perform control to encourage ventilation (step S304). Note that the process of step S304 corresponds to the device control step in the second embodiment.
For example, when the air conditioner 50 has an air blowing function, the air conditioning control unit 61 directs air conditioning toward an open window or an air intake of a device having a ventilation function such as a ventilation fan or a range hood. The air volume of the machine 50 is maximized to ventilate the air in the floor.
Further, for example, when the air conditioner 50 has a blowing function, the air conditioning control unit 61 maximizes the air volume of the air conditioner 50 toward the corners of the floor or toward the wall surface where the air tends to stay, thereby blowing the air. The air in the entire floor may be ventilated by moving the air located in the portion where it tends to stay.
Further, when the air conditioner 50 has a ventilation function, the air conditioning control unit 61 may operate the air conditioner 50 with the ventilation function maximized.

With such position detection processing, it is possible to detect the positions of people more accurately, and accordingly, the distance between people or the number of people per unit area can also be calculated more accurately. Then, the air conditioning control process controls the air conditioner 50 to perform ventilation when the distance between people is shorter than specified or when the number of people per unit area is larger than specified.
As a result, the spread of viral infections can be suppressed when social distance is not maintained in the building.

In the above-described second embodiment, a case has been described in which control is performed to encourage ventilation, but as in the first embodiment, a warning may be issued. For example, if the operation panel of the air conditioner 50 can display an LED, the warning may be notified by blinking the LED at a predetermined tempo. Further, equipment other than the air conditioner 50 may be controlled to promote ventilation. For example, if the opening and closing of doors or windows in the floor can be controlled by the air conditioning controller 60, the air conditioning controller 60 may open the doors or windows to promote ventilation.

(Other embodiments)
In Embodiments 1 and 2 described above, the lighting controller 40 and the air conditioning controller 60 determine whether the distance between people is equal to or less than a threshold value, or whether the number of people per unit area is equal to or greater than a threshold value. Although the case has been described, the thermal imaging apparatus 10 may perform up to this determination.
In that case, the warning is notified by transmitting a warning message, a warning image, etc. from the thermal imaging device 10 to terminal devices such as smartphones and personal computers used by people present on the floor. becomes possible. In other words, even with a simple configuration of the thermal imaging device 10 installed on the floor and the terminal device used on the floor, it is possible to issue a warning. In this case, the terminal device corresponds to the notification device.

Further, in the first and second embodiments described above, the case where the thermal imaging device 10 has the position detection means and the distance calculation means or the number of people calculation means and performs the position detection step and the distance calculation step or the number of people calculation step has been described. , but not limited to this. For example, the lighting controller 40 or the air-conditioning controller 60 may have position detection means and distance calculation means or people calculation means, and may perform the position detection step and the distance calculation step or the people calculation step. In this case, the thermal image capturing device 10 transmits information including the captured thermal image, and the lighting controller 40 or air conditioning controller 60 receives the information including the thermal image transmitted from the thermal image capturing device 10 .

Further, in the first and second embodiments described above, the thermal imaging device 10 transmits information to the lighting controller 40 or the air conditioning controller 60, but the present invention is not limited to this. For example, the equipment system may further include a server, the thermal imaging device 10 may transmit information to the server, and the lighting controller 40 or the air conditioning controller 60 may receive information transmitted from the server. Further, when the equipment system includes a server, the server has at least one of the position detection means, the distance calculation means or the number of people calculation means, and the equipment specifying means, and the position detection step, the distance calculation step or the number of people calculation At least one of the step and the device specifying step may be performed by the server.

Further, in the above embodiment, the position detection means and the distance calculation means or the number of people calculation means are separated as different means. may be included. In this case, the distance calculation means calculates the distance between people based on the thermal image, and the people calculation means calculates the number of people per unit area based on the thermal image. Furthermore, in Embodiments 1 and 2 above, the position detection step and the distance calculation step or the number of people calculation step are separated as different steps. may be included in In this case, the distance calculation step calculates the distance between people based on the thermal image, and the people calculation step calculates the number of people per unit area based on the thermal image.

Further, in the above-described embodiment, in the thermal image capturing device 10, the lighting controller 40, and the air conditioning controller 60, the CPU uses the RAM as a work memory and appropriately executes the control program stored in the ROM. A case where the human detection unit 13, the information detection unit 14, the warning determination unit 42, the ventilation determination unit 62, and the like described above are realized has been described.

However, all or part of the control unit may be realized by dedicated hardware. Dedicated hardware is, for example, a single circuit, a composite circuit, a programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or a combination thereof.

In addition, the above control program can be used for CD-ROM (Compact Disc Read Only Memory), DVD (Digital Versatile Disc), magneto-optical disc (Magneto-Optical Disc), USB (Universal Serial Bus) memory, memory card, HDD, etc. It can also be stored and distributed on a computer-readable recording medium.

In the case of adopting a configuration in which such a control program is executed by a control device separate from the thermal imaging device 10, the lighting controller 40, and the air conditioning controller 60, the program distributed as described above may Alternatively, by installing it in a general-purpose computer, it is possible to make the computer function as the thermal imaging device 10, the lighting controller 40, and the air conditioning controller 60. Alternatively, the control program may be stored in a disk device owned by another server on the Internet, and the control program may be downloaded from the server to the control device.

This disclosure is capable of various embodiments and modifications without departing from its broader spirit and scope. Moreover, the embodiments described above are for explaining the present disclosure, and do not limit the scope of the present disclosure. In other words, the scope of the present disclosure is indicated by the claims rather than the embodiments. Various modifications made within the scope of the claims and within the scope of meaning equivalent thereto are considered to be within the scope of the present disclosure.

1 lighting system 10 thermal image capturing device 11 thermal image capturing unit 12 thermal image management unit 13 human detection unit 14 information detection unit 15 various value management unit 16 communication unit 20 lighting device 30 concentrator, 40 lighting controller, 41 lighting control unit, 42 warning determination unit, 43 control communication unit, 44 information communication unit, 45 control unit, 50 air conditioner, 60 air conditioning controller, 61 air conditioning control unit, 62 ventilation determination unit, 63 control communication unit , 64 information communication unit, 65 control unit

Claims (20)

a thermal image capturing means for capturing a thermal image;
distance calculation means for calculating a distance between people based on the thermal image captured by the thermal image capturing means;
device control means for causing a warning device to issue a warning when the distance calculated by the distance calculation means is equal to or less than a predetermined threshold;
equipment system. a thermal image capturing means for capturing a thermal image;
distance calculation means for calculating a distance between people based on the thermal image captured by the thermal image capturing means;
and equipment control means for causing an air conditioner to perform an operation that promotes ventilation when the distance calculated by the distance calculation means is equal to or less than a predetermined threshold value.
equipment system. a thermal image capturing means for capturing a thermal image;
a number of people calculation means for calculating the number of people per unit area based on the thermal image captured by the thermal image capturing means;
device control means for issuing a warning from a notification device when the number of people calculated by the number of people calculation means is equal to or greater than a predetermined threshold;
equipment system. a thermal image capturing means for capturing a thermal image;
a number of people calculation means for calculating the number of people per unit area based on the thermal image captured by the thermal image capturing means;
and equipment control means for causing an air conditioner to perform an operation to promote ventilation when the number of people calculated by the number of people calculation means is equal to or greater than a predetermined threshold value,
equipment system. The distance calculation means includes position detection means for detecting the position of each person based on the thermal image captured by the thermal image capturing means, and calculates the distance from the position of each person detected by the position detection means. calculate,
The equipment system according to claim 1 or 2. The number-of-people calculating means includes position detecting means for detecting the position of each person based on the thermal image captured by the thermal image capturing means, and calculates the number of people from the positions of each person detected by the position detecting means. calculate,
5. The equipment system according to claim 3 or 4. The position detection means detects the position of the person based on the position of the person's head in the thermal image and the determination result as to whether the person is standing or sitting.
Equipment system according to claim 5 or 6. The position detection means detects the position of the person based on the size of the person's head in the thermal image.
Equipment system according to claim 5 or 6. a thermal imaging step of capturing a thermal image;
a distance calculation step of calculating a distance between people based on the thermal image captured in the thermal image capturing step;
a device control step of causing a notification device to issue a warning when the distance calculated in the distance calculation step is equal to or less than a predetermined threshold;
A method of controlling an equipment system, comprising: a thermal imaging step of capturing a thermal image;
a distance calculation step of calculating a distance between people based on the thermal image captured in the thermal image capturing step;
a device control step of causing an air conditioner to perform an operation that promotes ventilation when the distance calculated in the distance calculation step is equal to or less than a predetermined threshold;
A method of controlling an equipment system, comprising: a thermal imaging step of capturing a thermal image;
a number of people calculation step of calculating the number of people per unit area based on the thermal image captured in the thermal image capturing step;
a device control step of issuing a warning from a notification device when the number of people calculated in the number of people calculation step is equal to or greater than a predetermined threshold;
A method of controlling an equipment system, comprising: a thermal imaging step of capturing a thermal image;
a number of people calculation step of calculating the number of people per unit area based on the thermal image captured in the thermal image capturing step;
a device control step of causing an air conditioner to perform an operation that promotes ventilation when the number of people calculated in the number of people calculation step is equal to or greater than a predetermined threshold;
A method of controlling an equipment system, comprising: to the computer,
a device control step of issuing a warning from a reporting device when the distance between people calculated based on the thermal image captured by the thermal imaging device is equal to or less than a threshold;
program to run the to the computer,
A device control step of causing an air conditioner to perform an operation to promote ventilation when the distance between people calculated based on a thermal image captured by a thermal imaging device is equal to or less than a threshold;
program to run the to the computer,
a device control step of issuing a warning from a reporting device when the number of people per unit area calculated based on the thermal image taken by the thermal imaging device is equal to or greater than a threshold;
program to run the to the computer,
a device control step of causing an air conditioner to perform an operation that promotes ventilation when the number of people per unit area calculated based on a thermal image taken by a thermal imaging device is equal to or greater than a threshold;
program to run the a thermal image capturing means for capturing a thermal image;
position detection means for detecting the position of each person based on the thermal image captured by the thermal image capturing means;
a distance calculation means for calculating the distance between each person based on the position of each person detected by the position detection means;
transmission means for transmitting information for reporting a warning when the distance calculated by the distance calculation means is equal to or less than a threshold;
A thermal imaging device comprising: a thermal image capturing means for capturing a thermal image;
position detection means for detecting the position of each person based on the thermal image captured by the thermal image capturing means;
a distance calculation means for calculating the distance between each person based on the position of each person detected by the position detection means;
transmission means for transmitting information for encouraging ventilation when the distance calculated by the distance calculation means is equal to or less than a threshold;
A thermal imaging device comprising: a thermal image capturing means for capturing a thermal image;
position detection means for detecting the position of each person based on the thermal image captured by the thermal image capturing means;
A number of people calculation means for calculating the number of people per unit area from the positions of each person detected by the position detection means;
a transmitting means for transmitting information for notifying a warning when the number of people calculated by the number of people calculating means is equal to or greater than a threshold;
A thermal imaging device comprising: a thermal image capturing means for capturing a thermal image;
position detection means for detecting the position of each person based on the thermal image captured by the thermal image capturing means;
A number of people calculation means for calculating the number of people per unit area from the positions of each person detected by the position detection means;
a transmitting means for transmitting information for encouraging ventilation when the number of people calculated by the number of people calculating means is equal to or greater than a threshold value;
A thermal imaging device comprising:

Images