Airflow control system and airflow control method

Abstract

This airflow control system (10) is equipped with: an acquisition unit (34) for acquiring image data of an inside space (50) where a person is present and where an airflow is formed by an airflow generation device (40); an identification unit (35) for identifying the skeleton coordinates of the person on the basis of the acquired image data; an estimation unit (36) for estimating the motion of the person on the basis of time-sequence data of the identified skeleton coordinates; and a control unit (37) for controlling the airflow generation device (40) so as to suppress turbulence in the airflow generated as a result of the estimated motion of the person.

Description

[Technical field]

[0001] The present invention relates to an airflow control system and an airflow control method. [Background technology]

[0002] Various techniques have been proposed for ventilation or air conditioning of indoor spaces. Patent Document 1 discloses an air conditioner control device that provides an air-conditioned environment taking into account people's gestures. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2017-219247 A Summary of the Invention [Problem to be solved by the invention]

[0004] The present invention provides an airflow control system and an airflow control method that can maintain an airflow formed in an indoor space. [Means for solving the problem]

[0005] An airflow control system according to one embodiment of the present invention includes an acquisition unit that acquires image data of an indoor space in which an airflow is formed by an airflow generating device and in which a person is located, an identification unit that identifies skeletal coordinates of the person based on the acquired image data, an estimation unit that estimates the movement of the person based on time series data of the identified skeletal coordinates, and a control unit that controls the airflow generating device so as to suppress turbulence in the airflow caused by the estimated movement of the person.

[0006] An airflow control method according to one aspect of the present invention includes an acquisition step of acquiring image data of an indoor space in which an airflow is formed by an airflow generating device and in which a person is located, an identification step of identifying skeletal coordinates of the person based on the acquired image data, an estimation step of estimating the movement of the person based on time series data of the identified skeletal coordinates, and a control step of controlling the airflow generating device so as to suppress turbulence in the airflow caused by the estimated movement of the person.

[0007] A program according to one aspect of the present invention is a program for causing a computer to execute the airflow control method. Effect of the Invention

[0008] The airflow control system and the airflow control method of the present invention can maintain the airflow formed in the indoor space. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a block diagram showing a functional configuration of an airflow control system according to an embodiment. [Diagram 2] FIG. 2 is a diagram showing a schematic configuration of an airflow generating device included in the airflow control system according to the embodiment. [Diagram 3] FIG. 3 is a flowchart of a first operational example of the airflow control system according to the embodiment. [Figure 4] FIG. 4 is a conceptual diagram illustrating the determination of a two-dimensional human skeletal model. [Diagram 5] FIG. 5 is a diagram conceptually showing the estimation of skeleton coordinates. [Figure 6] FIG. 6 is a diagram showing a schematic diagram of turbulence in an air flow in an indoor space. [Figure 7] FIG. 7 is a diagram showing a schematic diagram of the indoor space after the turbulence of the airflow is suppressed. [Figure 8] FIG. 8 is an external view of an airflow generating device according to a modified example. [Figure 9] FIG. 9 is a diagram showing an internal structure of an airflow generating device according to a modified example. [Figure 10] FIG. 10 is a flowchart of a second operation example of the airflow control system according to the embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, the embodiments will be described with reference to the drawings. Note that the embodiments described below are all comprehensive or specific examples. The numerical values, shapes, materials, components, component arrangement and connection forms, steps, and order of steps shown in the following embodiments are merely examples and are not intended to limit the present invention. Furthermore, among the components in the following embodiments, components that are not described in the independent claims will be described as optional components.

[0011] In addition, each drawing is a schematic diagram and is not necessarily a precise illustration. In addition, in each drawing, the same reference numerals are used for substantially the same configuration, and duplicated explanations may be omitted or simplified.

[0012] (Embodiment) [composition] First, the configuration of an airflow control system according to an embodiment will be described. Fig. 1 is a block diagram showing a functional configuration of the airflow control system according to an embodiment. Fig. 2 is a diagram showing a schematic configuration of an airflow generating device provided in the airflow control system according to an embodiment. Fig. 2 is a diagram showing an indoor space 50 as viewed from above.

[0013] The airflow control system 10 is a system that acquires image data of an indoor space 50 output by a camera 20, and controls the airflow (schematically shown by arrows in FIG. 2) of the indoor space 50 based on the acquired image data. The indoor space 50 is, for example, an office space, but may also be an indoor space in other facilities such as a space in a commercial facility or a space in a house. As shown in FIGS. 1 and 2, the airflow control system 10 includes a camera 20, a control device 30, and an airflow generating device 40.

[0014] Camera 20 is installed, for example, on the ceiling or a wall of indoor space 50, and captures images (moving images made up of a plurality of images) including people positioned in indoor space 50 as subjects. Camera 20 also transmits image data of the captured images to control device 30. Camera 20 may be a camera using a Complementary Metal Oxide Semiconductor (CMOS) image sensor or a Charge Coupled Device (CCD) image sensor.

[0015] Furthermore, the camera 20 may be a camera using an image sensor capable of detecting infrared rays (infrared light). That is, the camera 20 may be an infrared camera. This allows the camera 20 to capture an image (infrared image) even when the indoor space 50 is dark.

[0016] The airflow control system 10 may include two or more cameras 20. For example, when only a part of a person's body is captured in an image captured by one camera 20, it is difficult to estimate the skeletal coordinates (described later) of the entire person's body. In such a case, the estimation unit 36 ​​can estimate the skeletal coordinates from each of the two images captured by the two cameras 20 and generate a 3D skeletal model of the entire person's body by combining the skeletal coordinates.

[0017] The control device 30 receives image data from the camera 20 and controls the airflow generating device 40 based on the received image data. The control device 30 is, for example, a local controller (i.e., an edge computer) installed in the same facility as the facility in which the indoor space 50 is provided, but may also be a server device (i.e., a cloud computer) installed outside the facility. The control device 30 includes a communication unit 31, an information processing unit 32, and a storage unit 33.

[0018] The communication unit 31 is a communication module (communication circuit) for the control device 30 to communicate with the camera 20 and the airflow generating device 40. The communication unit 31 receives, for example, image data from the camera 20 and transmits a control signal to the airflow generating device 40. The communication performed by the communication unit 31 may be wireless communication or wired communication. There is no particular limitation on the communication standard used for the communication.

[0019] The information processing unit 32 acquires image data of the image received by the communication unit 31, and performs information processing for controlling the airflow generating device 40 based on the acquired image data. Specifically, the information processing unit 32 is realized by a processor or a microcomputer. The information processing unit 32 includes an acquisition unit 34, an identification unit 35, an estimation unit 36, and a control unit 37. The functions of the acquisition unit 34, the identification unit 35, the estimation unit 36, and the control unit 37 are realized by the processor or microcomputer constituting the information processing unit 32 executing a computer program stored in the storage unit 33. The functions of the acquisition unit 34, the identification unit 35, the estimation unit 36, and the control unit 37 will be described in detail later.

[0020] The storage unit 33 is a storage device that stores image data received by the communication unit 31, a computer program executed by the information processing unit 32, and the like. The storage unit 33 also stores a machine learning model and an estimation model, which will be described later. Specifically, the storage unit 33 is realized by a semiconductor memory, a hard disk drive (HDD), or the like.

[0021] The airflow generating device 40 is installed in the indoor space 50 and generates an airflow in the indoor space 50. The airflow generating device 40 includes a blower fan 41 and a louver .

[0022] The blower fan 41 rotates to generate an airflow in the indoor space 50. The airflow generating device 40 may include a plurality of blower fans 41. The amount of air blown by the blower fan 41 (i.e., the strength of the airflow) is changed based on a control signal transmitted from the control device 30.

[0023] The louvers 42 are structures for changing the direction of the airflow. In other words, the louvers 42 are guide structures for guiding the airflow. The louvers 42 are, for example, wing-like structures whose attitude (wing angle) is changed based on a control signal transmitted by the control device 30.

[0024] Although the airflow generating device 40 is, for example, a dedicated device for the airflow control system 10, a ventilation device or an air conditioner that has been installed in advance in the indoor space 50 may also be used as the airflow generating device 40.

[0025] [Example 1] Next, a description will be given of a first operational example of the airflow control system 10. FIG.

[0026] The control unit 37 of the control device 30 controls the airflow generating device 40 to form a predetermined airflow (indicated by an arrow in FIG. 2) in the indoor space 50 (S11). The airflow generating device 40 is controlled by transmitting a control signal from the communication unit 31 to the airflow generating device 40. The predetermined airflow is realized by controlling the blower fan 41 and the louvers 42. The type of predetermined airflow to be formed in the indoor space 50 is determined in advance by a simulation or the like. Note that this simulation is performed assuming that no person is present in the indoor space 50, and when there is no disturbance in the indoor space 50 (when no person is present), the predetermined airflow is maintained.

[0027] The communication unit 31 of the control device 30 receives image data of an image of the indoor space 50 from the camera 20 (S12). The information processing unit 32 stores the received image data in the storage unit 33 (S13).

[0028] Next, the acquisition unit 34 acquires the image data received by the communication unit 31 and stored in the storage unit 33 (S14), and the identification unit 35 identifies a two-dimensional skeletal model of a person appearing in the image based on the acquired image data (S15). Fig. 4 is a diagram conceptually illustrating the identification of a two-dimensional skeletal model of a person. As shown in Fig. 4, the two-dimensional skeletal model is a model in which the positions (spheres) of the joints of the person appearing in the image are connected by links (lines). An existing posture and skeleton identification algorithm is used to identify the two-dimensional skeletal model.

[0029] Next, the identification unit 35 identifies skeletal coordinates (three-dimensional coordinate data of each joint) from the identified two-dimensional skeletal model (S16). The identification unit 35 identifies the skeletal coordinates by using, for example, a machine learning model. FIG. 5 is a diagram conceptually illustrating estimation of skeletal coordinates. This machine learning model is a learning model that is constructed in advance by machine learning using a two-dimensional skeletal model in which the skeletal coordinates of each joint are known as learning data and the skeletal coordinates as teacher data. Such a machine learning model can output the skeletal coordinates (in other words, a three-dimensional skeletal model) using the two-dimensional skeletal model as input. The identification unit 35 can identify time-series data of the skeletal coordinates by identifying the skeletal coordinates for each of a plurality of images (frames) constituting a moving image.

[0030] Next, the estimation unit 36 ​​estimates the movement of the person appearing in the image from the time series data of the identified skeletal coordinates (S17). The estimation unit 36 ​​detects the walking movement of the person based on the estimation result (S18). Walking movement is an example of a specific movement. For example, if a discrimination model that has learned the movement of joints when walking is performed is stored in the storage unit 33, the estimation unit 36 ​​can detect the walking movement by inputting the time series data of the skeletal coordinates to the discrimination model.

[0031] The estimation unit 36 ​​estimates the walking direction of the person from, for example, time-series data of the skeleton coordinates. In addition to the walking direction, the estimation unit 36 ​​may estimate the walking speed and the amount of swaying of the upper body while walking.

[0032] Next, the estimation unit 36 ​​estimates the turbulence of the airflow caused by the estimated human movement (S19). As described in step S11, the predetermined airflow formed in the indoor space 50 is based on the assumption that no person is present in the indoor space 50, and the movement of a person present in the indoor space 50 is a disturbance. Fig. 6 is a diagram showing a schematic diagram of the turbulence of the airflow in the indoor space 50.

[0033] Therefore, the estimation unit 36 ​​estimates the turbulence of the airflow caused by the walking motion (S19). The estimation unit 36 ​​estimates the turbulence of the airflow using, for example, a predetermined estimation model that can estimate the turbulence of the airflow caused by the relationship between the direction of the airflow and the direction of the person's walking. The predetermined estimation model is, for example, stored in advance in the storage unit 33.

[0034] In addition, the estimation of the turbulence of the airflow may further use the walking speed, the amount of swaying of the upper body while walking, etc. The turbulence of the airflow is estimated to be greater as the walking speed increases, and as the amount of swaying of the upper body while walking increases.

[0035] Next, the control unit 37 controls the airflow generating device 40 so as to suppress the estimated turbulence of the airflow (S20). The airflow generating device 40 is controlled by transmitting a control signal from the communication unit 31 to the airflow generating device 40. Fig. 7 is a diagram showing a schematic diagram of an indoor space 50 after the turbulence of the airflow has been suppressed.

[0036] The control unit 37 controls, for example, the airflow volume of the blower fan 41 and the attitude of the louver 42 to operate the airflow generating device 40 so that the turbulence of the estimated airflow is suppressed and a predetermined airflow (an airflow close to the predetermined airflow) is maintained. When the airflow generating device 40 includes a plurality of blower fans 41, the control unit 37 may control the airflow balance of the plurality of blower fans 41 so that the turbulence of the estimated airflow is suppressed. The plurality of blower fans 41 may include an auxiliary blower fan 41 that is normally stopped to suppress the turbulence of the airflow, and the control unit 37 may cause the auxiliary blower fan 41 to generate an airflow (corrected airflow) to suppress the turbulence of the estimated airflow. More simply, the control unit 37 may suppress the turbulence of the airflow by increasing the airflow volume of the blower fan 41 when a walking motion is detected.

[0037] As described above, the airflow control system 10 can suppress turbulence of the airflow in the indoor space 50, and can continuously form an airflow close to a predetermined airflow in the indoor space 50. Therefore, the airflow control system 10 can suppress the accumulation of dust, droplets, and the like in the indoor space 50.

[0038] [Modification of the airflow generating device] Next, a configuration of an airflow generating device according to a modified example and an operation example 2 of an airflow control system including such an airflow generating device will be described. Fig. 8 is an external view of the airflow generating device according to the modified example. Fig. 9 is a view showing an internal structure of the airflow generating device according to the modified example.

[0039] 8 and 9, an airflow generating device 60 according to a modified example is a desk-shaped device installed in an indoor space 70 such as a conference room. The airflow generating device 60 includes a suction fan 61, a louver 62, and a main body 63. The airflow control system 10 (control device 30) may control such an airflow generating device 60.

[0040] The suction fan 61 is housed in the main body 63, and generates an airflow (airflow from above to below) that draws air above the main body 63 into the main body 63 by rotating. That is, the suction fan 61 sucks in air in the indoor space 70. This allows the airflow generating device 60 to suppress the scattering (flying up) of droplets that occur in the indoor space 70, such as a conference room. The airflow generating device 60 may include multiple suction fans 61. The suction amount of the suction fan 61 (that is, the strength of the airflow) is changed based on a control signal transmitted from the control device 30.

[0041] The louvers 62 are structures for changing the direction of the airflow, and are disposed, for example, above the suction fan 61 in the main body 63. In other words, the louvers 62 are guide structures for guiding the airflow. The louvers 62 are wing-like structures whose attitude (wing angle) is changed based on a control signal transmitted by the control device 30, for example.

[0042] The main body 63 is a structure that houses the suction fan 61 and the louvers 62, and is also used as a desk by people using the conference room. An intake port 63a is provided on the top surface of the main body 63 for sucking air into the main body 63 by the suction fan 61, and an exhaust port 63b is provided below the main body 63 (at the feet of the person) for discharging the air sucked in from the intake port 63a. The exhaust port 63b may be connected to a duct leading to the outside of the indoor space 70. In other words, air may be exhausted to the outside of the indoor space 70.

[0043] Such an airflow generating device 60 can draw in air above the desk and expel it from the feet, thereby forming an airflow that circulates the air in the indoor space 70 (indicated by the arrows in FIG. 9).

[0044] [Example 2] The following describes the operation of the airflow control system 10 that includes such an airflow generating device 60. Fig. 10 is a flowchart of a second operation example of the airflow control system 10.

[0045] The control unit 37 of the control device 30 controls the airflow generating device 60 to form a predetermined airflow (indicated by an arrow in FIG. 9) in the indoor space 70 (S21). The communication unit 31 of the control device 30 receives image data of an image of the indoor space 70 from the camera 20 (S22). The information processing unit 32 stores the received image data in the storage unit 33 (S23).

[0046] Next, the acquisition unit 34 acquires the image data received by the communication unit 31 and stored in the storage unit 33 (S24), and the identification unit 35 identifies a two-dimensional skeletal model of the person appearing in the image based on the acquired image data (S25). The identification unit 35 identifies skeletal coordinates (three-dimensional coordinate data of each joint) from the identified two-dimensional skeletal model (S26). The identification unit 35 can identify time-series data of skeletal coordinates by identifying skeletal coordinates for each of a plurality of images (frames) constituting a moving image. The operations of steps S21 to S26 above are similar to steps S11 to S16 of the first operation example.

[0047] Next, the estimation unit 36 ​​estimates the movement of the person shown in the image from the time series data of the identified skeletal coordinates (S27), and detects the person's droplet discharge action (sneezing, coughing, etc.) based on the estimation result (S28). The droplet discharge action is an example of a specific action. For example, if the memory unit 33 stores a discrimination model that has learned the movement of joints when a droplet discharge action is performed, the estimation unit 36 ​​can detect the droplet discharge action by inputting the skeletal coordinate time series data into the discrimination model.

[0048] Next, the estimation unit 36 ​​estimates the turbulence of the airflow caused by the droplet discharge action (S29). The estimation unit 36 ​​estimates the turbulence of the airflow, for example, using a predetermined estimation model that can estimate what kind of turbulence of the airflow will be caused in a predetermined airflow by the droplet discharge action. The predetermined estimation model is stored in advance in the storage unit 33, for example.

[0049] Next, the control unit 37 controls the airflow generating device 60 so as to suppress the turbulence of the estimated airflow (S30). The airflow generating device 60 is controlled by transmitting a control signal from the communication unit 31 to the airflow generating device 60.

[0050] The control unit 37 controls, for example, the suction amount of the suction fan 61 and the attitude of the louver 62 to operate the airflow generating device 60 so that the turbulence of the estimated airflow is suppressed and a predetermined airflow (an airflow close to the predetermined airflow) is maintained. When the airflow generating device 60 includes a plurality of suction fans 61, the control unit 37 may control the suction balance of the plurality of suction fans 61 so that the turbulence of the estimated airflow is suppressed. The plurality of suction fans 61 may include an auxiliary suction fan 61 that is normally stopped to suppress the turbulence of the airflow, and the control unit 37 may cause the auxiliary suction fan 61 to generate an airflow (corrected airflow) to suppress the turbulence of the estimated airflow. More simply, the control unit 37 may suppress the turbulence of the airflow by increasing the airflow (intake amount) of the suction fan 61 when the droplet discharge operation is detected.

[0051] As described above, the airflow control system 10 can suppress turbulence of the airflow in the indoor space 70, and can continuously form an airflow close to a predetermined airflow in the indoor space 70. Therefore, the airflow control system 10 can suppress the scattering of droplets in the indoor space 70 by maintaining the suction of air by the airflow generating device 60.

[0052] [Other variations] In the above embodiment, the specific motion is exemplified by a walking motion and a droplet ejection motion, but the specific motion is not limited to such motions. For example, the specific motion may be a motion in which a person fans himself or herself or another person with a fan.

[0053] The airflow control system 10 may detect a plurality of types of specific actions. For example, the airflow control system 10 including the airflow generating device 40 may control the airflow generating device 40 to suppress turbulence of the airflow when any one of a walking action, a droplet discharging action, and a fanning action is detected.

[0054] [Effects, etc.] As described above, the airflow control system 10 includes an acquisition unit 34 that acquires image data of the indoor space 50 (or indoor space 70) in which an airflow is formed by the airflow generating device 40 and in which a person is located, an identification unit 35 that identifies the skeletal coordinates of the person based on the acquired image data, an estimation unit 36 ​​that estimates the movement of the person based on time series data of the identified skeletal coordinates, and a control unit 37 that controls the airflow generating device 40 (or airflow generating device 60) so as to suppress airflow turbulence caused by the estimated movement of the person.

[0055] Such an airflow control system 10 can suppress turbulence of the airflow in the indoor space 50. In other words, the airflow control system 10 can maintain the airflow formed in the indoor space.

[0056] Also, for example, the estimation unit 36 ​​detects a specific motion of a person by estimating the person's movement, and the control unit 37 controls the airflow generating device 40 when the specific motion is detected so that disturbance of the airflow caused by the specific motion is suppressed.

[0057] Such an airflow control system 10 can suppress turbulence in the airflow caused by certain movements.

[0058] Moreover, for example, the specific motion is a walking motion.

[0059] Such an airflow control system 10 can suppress turbulence in the airflow caused by walking.

[0060] Also, for example, the specific action is the action of discharging droplets.

[0061] Such an airflow control system 10 can suppress turbulence in the airflow caused by the droplet discharge action.

[0062] Also, for example, the acquisition unit 34 acquires image data of an image captured by an infrared camera.

[0063] Such an airflow control system 10 can identify the skeletal coordinates of a person based on image data of an image captured by an infrared camera even when the indoor space 50 is dark.

[0064] In addition, an airflow control method executed by a computer such as the airflow control system 10 includes an acquisition step of acquiring image data of an indoor space 50 in which an airflow is formed by the airflow generating device 40 and in which a person is located, an identification step of identifying the skeletal coordinates of the person based on the acquired image data, an estimation step of estimating the movement of the person based on time series data of the identified skeletal coordinates, and a control step of controlling the airflow generating device 40 so as to suppress airflow turbulence caused by the estimated movement of the person.

[0065] Such an airflow control method can suppress turbulence of the airflow in the indoor space 50. In other words, the airflow control method can maintain the airflow formed in the indoor space.

[0066] (Other embodiments) Although the airflow control system and the airflow control method according to the embodiment have been described above, the present invention is not limited to the above-described embodiment.

[0067] In the above embodiment, the airflow control system is realized by a plurality of devices, but may be realized as a single device. For example, the airflow control system may be realized as a single device corresponding to the control device. When the airflow control system is realized by a plurality of devices, each component of the airflow control system may be allocated to the plurality of devices in any manner.

[0068] In the above embodiment, the processes executed by a specific processing unit may be executed by another processing unit. The order of multiple processes may be changed, or multiple processes may be executed in parallel.

[0069] In the above embodiment, each component may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.

[0070] Furthermore, each component may be realized by hardware. For example, each component may be a circuit (or an integrated circuit). These circuits may form a single circuit as a whole, or each may be a separate circuit. Furthermore, each of these circuits may be a general-purpose circuit, or a dedicated circuit.

[0071] In addition, the general or specific aspects of the present invention may be realized as a system, an apparatus, a method, an integrated circuit, a computer program, or a computer-readable recording medium such as a CD-ROM. Also, the present invention may be realized as any combination of a system, an apparatus, a method, an integrated circuit, a computer program, and a recording medium. For example, the present invention may be realized as a program for causing a computer to execute the airflow control method of the above embodiment, or as a computer-readable non-transitory recording medium on which such a program is stored.

[0072] In addition, the present invention also includes forms obtained by applying various modifications to each embodiment that a person skilled in the art may think of, or forms realized by arbitrarily combining the components and functions of each embodiment within the scope that does not deviate from the spirit of the present invention. [Explanation of symbols]

[0073] 10 Airflow Control System 20 Camera 30 Control device 31 Communications Department 32 Information Processing Section 33 Storage section 34 Acquisition Department 35 Specific part 36 Estimation part 37 Control Unit 40, 60 Airflow generating device 41, 61 Blower fan 42, 62 Louver 50, 70 Indoor space 63 Main body 63a Intake port 63b Exhaust port

Claims

1. an acquisition unit that acquires image data of an indoor space in which an airflow is formed by the airflow generating device and in which a person is located; An identification unit that identifies skeletal coordinates of the person based on the acquired image data; an estimation unit that estimates a movement of the person based on the time series data of the identified skeletal coordinates; a control unit that controls the airflow generating device so as to suppress turbulence of the airflow caused by the estimated human movement. Airflow control system.

2. The estimation unit detects a specific action of the person by estimating a movement of the person; The control unit controls the airflow generating device when the specific motion is detected so that turbulence of the airflow caused by the specific motion is suppressed. The airflow control system of claim 1 .

3. The specific motion is a walking motion. The airflow control system of claim 2 .

4. The specific action is a droplet discharge action. The airflow control system of claim 2 .

5. The acquisition unit acquires the image data of an image captured by an infrared camera. The airflow control system according to any one of claims 1 to 4.

6. an acquisition step of acquiring image data of an indoor space in which an airflow is formed by the airflow generating device and in which a person is located; identifying skeletal coordinates of the person based on the acquired image data; an estimation step of estimating a movement of the person based on the time series data of the identified skeleton coordinates; and a control step of controlling the airflow generating device so as to suppress turbulence of the airflow caused by the estimated movement of the person. Airflow control method.

7. A program for causing a computer to execute the airflow control method according to claim 6.

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