Control system

Abstract

To provide a control system capable of inexpensively constituting a system for detecting biological information of an object person existing in an object space.SOLUTION: A control system includes: detecting means for detecting biological information including at least one of a pulse wave and a heartbeat of an object person existing in an object space in a non-contact manner; and control means for controlling operation of the detecting means. The detecting means includes: a detector having a detection surface which receives a reflection wave for detecting the biological information reflected from the object person; and a driving machine for rotationally moving the detector so that a detection range by the detection surface changes. The biological information is detected when the detector is stopped after the driving machine rotationally moves the detector.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present disclosure relates to a control system for a means for detecting biological information in a non-contact manner. [Background technology]

[0002] Patent Document 1 discloses an environmental control system. In this environmental control system, a biometric sensor that detects biometric information of a subject without contact is installed near the ceiling. The subject's condition is estimated based on the biometric information detected by the biometric sensor. Then, a lighting device can be controlled based on the subject's condition. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-162866 Summary of the Invention [Problem to be solved by the invention]

[0004] To maintain detection accuracy, the detection surface of the sensor that detects biometric information non-contact needs to be stationary and facing the subject while detecting the biometric information. In the environmental control system described in Patent Document 1, in order to detect the entire target space, multiple detection surfaces need to be installed so that they face in different directions. This requires the installation of a large number of biometric sensors, which is costly.

[0005] The present disclosure has been made to solve the above-mentioned problems, and an object of the present disclosure is to provide a control system that can inexpensively configure a system for detecting biological information of a subject present in a target space. [Means for solving the problem]

[0006] The control system according to the present disclosure comprises a detection means for non-contact detection of biometric information including at least one of the pulse wave and heart rate of a subject present in a target space, and a control means for controlling the operation of the detection means, wherein the detection means comprises a detector having a detection surface that receives reflected waves reflected from the subject to detect the biometric information, and a drive mechanism that rotates and moves the detector so as to change the detection range of the detection surface, and after the drive mechanism rotates and moves the detector, detection of the biometric information is performed when the detector is stopped. [Effects of the Invention]

[0007] According to the present disclosure, the biological information of a subject present in a target space is detected by a single detection means, which allows the system to be configured at low cost. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a configuration diagram of a building to which an air conditioning system according to a first embodiment is applied. [Figure 2] FIG. 3 is a side view of a detection means of the control system according to the first embodiment. [Figure 3] FIG. 3 is a side view of a detection means of the air conditioning system according to the first embodiment. [Figure 4] FIG. 3 is a bottom view of a detection means of the air conditioning system according to the first embodiment. [Figure 5] FIG. 3 is a side view of a detection means of the air conditioning system according to the first embodiment. [Figure 6] FIG. 3 is a bottom view of a detection means of the air conditioning system according to the first embodiment. [Figure 7] FIG. 3 is a side view of a detection means of the air conditioning system according to the first embodiment. [Figure 8] FIG. 3 is a bottom view of a detection means of the air conditioning system according to the first embodiment. [Figure 9] FIG. 2 is a functional block diagram of the control system according to the first embodiment. [Figure 10] 4 is a flowchart of the operation of the control system in the first embodiment. [Figure 11]FIG. 10 is a configuration diagram of a building to which a control system according to a second embodiment is applied. [Figure 12] FIG. 10 is a perspective view of an air conditioning unit of a control system according to a second embodiment. [Figure 13] FIG. 10 is a diagram showing the main parts of an air conditioning means of a control system according to a second embodiment. [Figure 14] FIG. 10 is a functional block diagram of a control system according to a second embodiment. [Figure 15] 10 is a flowchart of the operation of the control system in the second embodiment. [Figure 16] FIG. 11 is a functional block diagram of a control system according to a third embodiment. [Figure 17] FIG. 10 is a functional block diagram of a control system according to a fourth embodiment. [Figure 18] FIG. 1 is a diagram illustrating an overview of a neural network model. [Figure 19] 13 is a flowchart of a learning process of the learning device according to the fourth embodiment. [Figure 20] 13 is a flowchart of an inference process performed by a control means of a control system according to a fourth embodiment. [Figure 21] FIG. 13 is a functional block diagram of a control system according to a fifth embodiment. [Figure 22] FIG. 2 is a hardware configuration diagram of a control device of the control system according to the first to fifth embodiments. DETAILED DESCRIPTION OF THE INVENTION

[0009] The embodiments of the present disclosure will be described with reference to the accompanying drawings. In each drawing, the same or corresponding parts are designated by the same reference numerals. Duplicate descriptions of these parts will be appropriately simplified or omitted.

[0010] Embodiment 1 FIG. 1 is a configuration diagram of a building to which an air conditioning system according to embodiment 1 is applied. FIG. 2 is a side view of the detection means of the control system according to embodiment 1. FIG. 3 is a side view of the detection means of the air conditioning system according to embodiment 1. FIG. 4 is a bottom view of the detection means of the air conditioning system according to embodiment 1. FIG. 5 is a side view of the detection means of the air conditioning system according to embodiment 1. FIG. 6 is a bottom view of the detection means of the air conditioning system according to embodiment 1. FIG. 7 is a side view of the detection means of the air conditioning system according to embodiment 1. FIG. 8 is a bottom view of the detection means of the air conditioning system according to embodiment 1. FIG. 9 is a functional block diagram of the control system according to embodiment 1. FIG. 10 is a flowchart of the operation of the control system according to embodiment 1.

[0011] As shown in FIG. 1, the control system 1 is installed in a room H, which is a target space. For example, the room H is divided into multiple detection areas A1, A2, A3, and A4. The boundaries between the multiple detection areas A1, A2, A3, and A4 are indicated by dashed lines. The number of detection areas may be more or less than four. The control system 1 includes a detection means 2 and a control means 3. As an example, two detection means 2 are installed in the room H.

[0012] In this example, the detection means 2 are provided on the ceiling of the room H. For example, the detection means 2a of the detection means 2 is provided at the boundary between the detection areas A1 and A2. The detection means 2b of the detection means 2 is provided at the boundary between the detection areas A3 and A4.

[0013] The detection means 2 serves as a vital sensor and detects at least one of the pulse wave and the heartbeat of a subject present within the detection range without contact. The detection means 2 creates biometric information including at least one of the pulse wave and the heartbeat of the subject based on the detected pulse wave and / or the heartbeat. Hereinafter, this operation will also be expressed as the detection means 2 detecting biometric information including at least one of the pulse wave and the heartbeat. When multiple subjects are present within the detection range, the detection means 2 detects at least one of the pulse wave and the heartbeat for each of the multiple subjects and creates biometric information. Note that the detection means 2 may create biometric information including an average value of at least one of the pulse waves and the heartbeats of the multiple subjects as average biometric information of the subjects present within the detection range.

[0014] The detection means 2a detects biometric information in turn, using each of the detection areas A1 and A2 as its detection range. That is, the detection means 2a first performs detection in the detection area A1 as its detection range. After detection of the detection area A1 is complete, the detection means 2a performs detection in the detection area A2 as its detection range. Similarly, the detection means 2b performs detection in turn, using each of the detection areas A3 and A4 as its detection range.

[0015] The control means 3 controls the operation of the detection means 2 as a control device for the detection means 2. The control means 3 acquires and stores the biometric information detected by the detection means 2. The biometric information acquired by the control means 3 may be used for calculating vital data of the subject, etc. The control means 3 may estimate the subject's condition based on the biometric information. The detection means 2 and the control means 3 together constitute a biometric information detection device for the subject.

[0016] As shown in Fig. 2, the detection means 2a includes an outer shell 21, a detector 22, and a driver 23. The outer shell 21 is attached to a ceiling via a mounting surface. The detector 22 and the driver 23 are provided inside the outer shell 21. The outer shell 21 is transparent to radio waves used by the detector 22 for detection. For example, the outer shell 21 is made of translucent plastic.

[0017] The detector 22 has a detection surface 22s. The detector 22 emits detection radio waves, such as millimeter waves or microwaves. When the detection radio waves hit a person, they are reflected. The detector 22 uses the detection surface 22s to detect reflected waves of the detection radio waves reflected from a person present within the detection range. For example, the detection range is a range onto which light is projected, centered on the detection surface 22s, and spreading over a solid angle according to the detection capability. The detector 22 analyzes the reflected waves to detect at least one of the person's pulse wave and heartbeat. Note that hereinafter, the detection range will be described as a range onto which light is projected, spreading at a detection angle centered on the detection surface 22s in the horizontal direction. In this case, the detection range is expressed as an angle, such as 60°.

[0018] The driver 23 is fixed to the mounting surface of the outer casing 21. For example, the lower side of the driver 23 has a hemispherical shape. The surface of the detector 22 opposite to the detection surface 22s is attached to the hemispherical surface of the driver 23. The driver 23 freely moves the detector 22 on the hemispherical surface. At this time, the detector 22 rotates around the driver 23. As the detector 22 rotates, the direction in which the detection surface 22s faces rotates. At this time, the detection range rotates. For example, the driver 23 rotates the detector 22 by a preset movement angle, thereby changing the detection range of the detection means 2 by that movement angle.

[0019] The movement angle can be set to any angle, such as the same angle as the detection range, 60°, etc. For example, the movement angle may be an angle equal to or smaller than the detection range, and may be an angle obtained by dividing 360° by any natural number. In this case, detecting overlapping ranges can be avoided when moving through the entire 360° angle.

[0020] The detection of biological information by the detector 22 is performed when the detector 22 is stationary, not when the detector 22 is being rotated by the driver 23. After the detector 22 has completed detecting biological information, the driver 23 rotates the detector 22 to a position corresponding to the next detection range and stops the detector 22. This is because even if the detector 22 receives reflected waves while moving, it cannot accurately detect the pulse wave and heart rate.

[0021] Specifically, the skin moves outward in accordance with the subject's pulse wave and heartbeat. When the detection radio waves emitted from detector 22 hit the moving skin of the subject and are reflected, the Doppler effect causes the wavelength of the reflected wave to change to a wavelength different from that of the incident detection radio wave. Detector 22 detects the reflected wave with detection surface 22s and analyzes the difference in wavelength from the detected radio wave to detect at least one of the subject's pulse wave and heartbeat. If detection surface 22s is moving when detecting the reflected wave, detector 22 may detect a radio wave with a wavelength different from that of the reflected wave depending on the speed of movement.

[0022] Furthermore, when detecting biological information, it is important to measure the pulse wave period of the subject. A human pulse rate is approximately 50 to 140 beats per minute. To measure the pulse wave period of the subject, it is necessary to detect at least two pulse waves or heartbeats. That is, the detector 22 needs to detect reflected waves for at least about three seconds. Furthermore, to ensure a certain degree of accuracy, the detector 22 needs to detect reflected waves for at least several tens of seconds. Note that the detector 22 may only need to be stopped for about one minute.

[0023] As described above, if the detector 22 is continuously rotating, it will not be able to accurately detect biometric information. The detector 22 needs to detect biometric information while it is stopped. The detector 22 must then rotate between biometric information detections. For example, the time during which the detector 22 is stopped and detecting is set to be longer than the time from when the detector 22 starts its rotational movement until it stops at a position corresponding to another detection range. That is, for example, the detector 22 stops for about three seconds, and then rotates to the next position over one second.

[0024] Next, an example of the operation of the detector 22 in a rotational movement will be described with reference to Figures 3 to 8. The direction of the rotational movement may not only be the direction shown in Figure 3 etc., but also the opposite direction to the direction shown in Figure 3 etc. Figures 3 and 4 show a first example of the rotational movement. Figure 3 is a side view of the detection means 2 in the first example. Figure 4 is a bottom view of the detection means 2 in the first example. In the first example, the detector 22 rotates on a horizontal plane around the driver 23 as shown by arrow R1. Examples of positions to which the detector 22 can move are shown by two-dot chain lines.

[0025] 5 and 6 show a second example of rotational movement. FIG. 5 is a side view of the detection means 2 in the second example. FIG. 6 is a bottom view of the detection means 2 in the second example. In the second example, the detector 22 rotates and moves on a vertical plane perpendicular to the horizontal plane, passing through the center of the driver 23, as shown by arrow R2. In this case, it is possible to detect both targets that are far from the detection means 2 and targets that are close to it.

[0026] The first and second examples of rotational movement may be combined, in which case the detector 22 can detect any direction below the driver 23.

[0027] 7 and 8 are modified examples of the first example of rotational movement. FIG. 7 is a side view of the detection means 2 in the modified example. FIG. 8 is a bottom view of the detection means 2 in the modified example. In the modified example of the first example, the driver 23 rotates the outer shell 21 on a horizontal plane as shown by the arrow R3. That is, the driver 23 includes the outer shell 21. Even in this case, the detector 22 rotates on a horizontal plane as in the first example. Note that the modified example of the first example of rotational movement and the second example may be combined.

[0028] Next, the control means 3 will be described in detail with reference to Fig. 9. As shown in Fig. 9, the control means 3 includes, as its functions, an acquisition unit 31, a detection control unit 32, a movement control unit 33, and a determination unit 34. The acquisition unit 31 acquires various types of information including the detection results of biological information from the detection means 2, etc.

[0029] The detection control unit 32 controls the operation of the detector 22 to detect biological information. For example, the detection control unit 32 detects that the detector 22 has completed detection of at least one of a pulse wave and a heartbeat. For example, the detection control unit 32 detects that the detector 22 has detected biological information for all subjects within the current detection range. For example, the detection control unit 32 may estimate the distance from the detector 22 to the subjects using the intensity of the reflected wave received by the detector 22.

[0030] The detection control unit 32 may switch the detection mode of the detector 22 between a short distance mode and a long distance mode. When extracting biometric information from reflected waves, correction is applied according to the distance between the detector 22 and the subject, thereby improving the detection accuracy of the biometric information. The short distance mode is a mode for detecting biometric information of a subject who is in a close position, and is set when the distance between the subject and the detector 22 is closer than a distance threshold. In the short distance mode, correction is applied when extracting biometric information for a relatively short distance. The long distance mode is a mode for detecting biometric information of a subject who is in a far position, and is set when the distance between the subject and the detector 22 is equal to or greater than a distance threshold. In the long distance mode, correction is applied when extracting biometric information for a relatively long distance.

[0031] The detection control unit 32 switches the detection mode depending on the position of the subject in the target space. For example, the detection control unit 32 may switch the detection mode based on the estimated distance from the detector 22 to the subject. Note that if the short-distance mode is set as the default and detection of biometric information for a certain subject is not completed within a specified distance time, the detection control unit 32 may switch the detection mode to the long-distance mode.

[0032] When multiple detection means 2 exist in the target space, the detection control unit 32 determines the detection means 2 that will detect the biometric information of the target according to the position of the target. For example, when the target is located between detection means 2a and detection means 2b, the detection control unit 32 determines the detection means 2 that is closer to the target as the detection means 2 that will detect the biometric information of the target. Detection means 2b corresponds to an adjacent detection means for detection means 2a. In this case, for example, the biometric information of a target that is closer to the adjacent detection means than to detection means 2a is detected by the adjacent detection means rather than detection means 2a.

[0033] The detection control unit 32 may estimate the subject's condition based on the biological information. For example, the subject's condition may include the subject's fatigue level, concentration level, thermal sensation, stress level, etc. In this case, if the subject's condition cannot be estimated promptly, the detection control unit 32 may change the analysis method of the biological information. For example, if the calculation to estimate the subject's concentration level is not completed successfully, the detection control unit 32 may switch to a calculation to estimate the subject's fatigue level using LF / HF. The detection control unit 32 determines that detection of the biological information is complete if the biological information is successfully extracted or the subject's condition is accurately estimated.

[0034] The movement control unit 33 controls the operation of the driving machine 23. At this time, the movement control unit 33 causes the driving machine 23 to start operating in accordance with the determination result of the determination unit 34. When the movement starts, the driving machine 23 moves the detector 22 by the movement angle.

[0035] The determination unit 34 determines whether the movement condition is satisfied after the detector 22 stops and starts detecting the biological information. The movement condition may be one or more arbitrary conditions that allow the biological information to be detected quickly and accurately.

[0036] In a first example of the condition, the movement condition is satisfied when the stop time has elapsed since the driving machine 23 stopped. That is, this means that the detector 22 has detected biological information for the stop time. In this example, the determination unit 34 measures the time since the driving machine 23 stopped.

[0037] In a second example of the condition, the movement condition is satisfied when the detector 22 completes detection of the biological information of one or more subjects present within the current detection range after the driving machine 23 has stopped. The movement condition is also satisfied immediately if it is determined that no subjects are present within the detection range. In this example, the determination unit 34 determines the movement condition based on the detection result of the detection control unit 32.

[0038] It should be noted that the movement condition may be determined to be satisfied when either the condition in the first example or the condition in the second example is satisfied, or when both the condition in the first example and the condition in the second example are satisfied.

[0039] Next, the operation of the control system 1 will be described with reference to Fig. 10. The flowchart in Fig. 10 starts at any timing.

[0040] In step S01, the detector 22 is rotated by the operation of the driver 23 to a position corresponding to a certain detection range and then stopped.

[0041] Then, in step S02, the detector 22 starts detecting biological information of one or more subjects present in the current detection range.

[0042] After that, in step S03, the determination unit 34 of the control means 3 determines whether or not the movement condition is satisfied.

[0043] If the movement condition is not satisfied in step S03, the operations from step S02 onwards are repeated, i.e., the detector 22 remains stopped until the movement condition is satisfied.

[0044] If the movement condition is satisfied in step S03, the operation of step S04 is performed. In step S04, the control means 3 controls the driver 23 to start rotational movement of the stopped detector 22. The control means 3 stops the detector 22 at a position where the detection range is different from the previous position. For example, the different position is a position rotated by the movement angle from the previous detection range. Then, the operations from step S01 onwards are repeated.

[0045] In step S02, the state of the subject may be estimated.

[0046] The operations of the flowchart are constantly repeated while the detection means 2 is operating. For example, the detector 22 rotates 360° and detects the same detection range again. In this way, the biological information of a subject present in a certain detection range is detected at regular intervals.

[0047] According to the first embodiment described above, the control system 1 includes a detection unit 2 and a control unit 3. Conventionally, when using a stationary biometric information sensor in a relatively large target space, it was necessary to install multiple biometric information sensors. This is because the detection surfaces needed to face various directions in the target space. For example, if a biometric information sensor with a continuously rotating detection surface were installed, it would not be able to accurately detect biometric information. According to the present embodiment, the detector 22 is rotated so that the detection range of one detection surface 22s changes. Thereafter, when the detection surface 22s is stationary, biometric information is detected. Therefore, a single detection unit 2 can accurately detect biometric information throughout the entire target space. Furthermore, such a system can be constructed inexpensively.

[0048] Furthermore, the time it takes for the detector 22 to stop and perform detection is longer than the time it takes for the detector 22 to rotate and move to a position corresponding to another detection range and stop. Biometric information is detected based on the cycle of a person's heartbeat, etc., and therefore requires a certain amount of detection time. By performing detection over a relatively long period of time, the biological information can be detected accurately.

[0049] Furthermore, the detector 22 is moved by a specified movement angle. For example, the movement angle is a value obtained by dividing 360° by a natural number. By setting the movement angle in this manner, the detection surface 22s does not stop at a position deviated from the initial position when it makes one revolution. This allows for efficient detection.

[0050] Furthermore, the detector 22 is controlled to rotate when a movement condition is satisfied. As a first example, the movement condition is satisfied when a stop time has elapsed. As a second example, the movement condition is satisfied when detection of a subject present in the detection range is completed. By setting such movement conditions, detection can be performed for a necessary and sufficient time, and biometric information can be accurately detected.

[0051] Furthermore, the detector 22 switches between a short-distance mode and a long-distance mode depending on the position of the subject, thereby enabling accurate detection of biological information.

[0052] Furthermore, when two or more detection means 2 are present, the detection means 2 that performs detection is adjusted depending on the position of the subject. Therefore, even in this case, it is possible to efficiently detect the biological information of the subject in the target space.

[0053] The detection means 2 and the control means 3 may be fabricated as a single device. In this case, the biosensor serving as the detection means 2 has the function of the control means 3.

[0054] Embodiment 2 FIG. 11 is a configuration diagram of a building to which a control system according to the second embodiment is applied. FIG. 12 is a perspective view of the air conditioning means of the control system according to the second embodiment. FIG. 13 is a diagram showing the main parts of the air conditioning means of the control system according to the second embodiment. FIG. 14 is a functional block diagram of the control system according to the second embodiment. FIG. 15 is a flowchart showing the operation of the control system according to the second embodiment. Note that parts that are the same as or equivalent to parts according to the first embodiment are given the same reference numerals. Explanation of these parts will be omitted.

[0055] As shown in FIG. 11 , in the second embodiment, the control system 1 includes an air conditioning unit 4. As an example, the control system 1 is provided with two air conditioning units 4a and 4b. The air conditioning unit 4 blows out an airflow that adjusts the state of the air in the target space. In the present embodiment, the air conditioning unit 4 is an air conditioner that generates and blows out conditioned air. The air conditioning unit 4 may be a blower that blows out an airflow that adjusts the state of the air, a ventilation unit, or a humidity control unit that blows out an airflow with adjusted humidity.

[0056] The air conditioning unit 4 controls the airflow blown out for each of the multiple air conditioning areas into which the target space is divided. The air conditioning areas may be the same as the detection areas A1 to A4 of the detection unit 2 in embodiment 1. Hereinafter, an example will be described in which the air conditioning areas A1, A2, A3, and A4 are the same as the detection areas A1, A2, A3, and A4. The air conditioning unit 4a blows out airflow to the air conditioning areas A1 and A2. The air conditioning unit 4b blows out airflow to the air conditioning areas A3 and A4.

[0057] FIG. 12 shows the configuration of an air conditioner 40, which is the air conditioning means 4. The air conditioner 40 includes a housing 40a. The housing 40a is formed in the shape of a roughly rectangular parallelepiped box. A rectangular or square bottom panel 40b is provided at the bottom of the housing 40a of the air conditioning means 4. An air inlet 40c is formed in the bottom panel 40b. The air inlet 40c is an opening for taking air from the outside into the inside of the housing 40a. A filter (not shown) is installed in the air inlet 40c. For example, the air inlet 40c is located in the center of the bottom panel 40b.

[0058] Additionally, the lower panel 40b is formed with an air outlet 40d. The air outlet 40d is an opening for discharging air from the inside of the housing 40a to the outside. In the illustrated configuration example, the lower panel 40b is formed with four air outlets 40d. The four air outlets 40d are arranged around the air inlet 40c. The four air outlets 40d are provided along each side of the lower panel 40b.

[0059] As shown in Figures 12 and 13, the air conditioning unit 4 is provided with vertical louvers 40e and horizontal louvers 40f as air direction louvers. The vertical louvers 40e and horizontal louvers 40f are provided at the air outlet 40d, respectively. The vertical louvers 40e are used to adjust the vertical blowing angle of the air blown out from the air outlet 40d. The horizontal louvers 40f are used to adjust the horizontal blowing angle of the air blown out from the air outlet 40d.

[0060] The vertical louvers 40e are rectangular plate-shaped members. One end of the vertical louvers 40e is rotatably attached to the edge of the air outlet 40d, near the center of the lower panel 40b. The vertical louvers 40e rotate around this end as an axis, changing the vertical blowing angle of the air blown out from the air outlet 40d.

[0061] As shown in FIG. 13, the left and right louvers 40f are composed of multiple rectangular plate-shaped members. These multiple rectangular plate-shaped members are arranged along a direction perpendicular to the longitudinal direction of the air outlet 40d. One end of the left and right louvers 40f is rotatably attached to the inner edge of the air outlet 40d. The left and right louvers 40f rotate around this end as an axis, thereby changing the left-right blowing angle of the air blown out from the air outlet 40d.

[0062] The vertical louvers 40e and horizontal louvers 40f configured as described above are an example of airflow direction changing means that can change the direction in which airflow is blown into the room from the air outlet 40d. The air conditioning means 4 in this embodiment can blow airflow in various directions by changing the combination of the orientation of the vertical louvers 40e and the horizontal louvers 40f. For example, the vertical louvers 40e and horizontal louvers 40f, which are airflow direction louvers, continue either a fixed operation in which their orientation is fixed in a certain direction or a driving operation in which they continue to rotate. Furthermore, the airflow direction louvers operate in a fluctuating operation that generates fluctuating airflow by alternately switching between the fixed operation and the driving operation.

[0063] Furthermore, by orienting the upper and lower louvers 40e in the most upward direction, the air outlets 40d are blocked by the upper and lower louvers 40e. The air conditioning unit 4 in this embodiment can stop the air from being blown from some of the air outlets 40d by blocking some of the air outlets 40d with the upper and lower louvers 40e.

[0064] An air passage is formed inside the housing 40a, leading from the air inlet 40c to the air outlet 40d. A heat exchanger and a blower fan are installed in the air passage leading from the air inlet 40c to the air outlet 40d. The heat exchanger heats or cools the air flowing through the air passage by exchanging heat between the air and a refrigerant. Whether the air is heated or cooled by the heat exchanger depends on the type of air conditioning operation performed by the air conditioning means 4. The heat exchanger heats or cools the air, adjusting the temperature, humidity, etc. of the air and generating conditioned air.

[0065] The blower fan generates an airflow in the air passage inside the housing 40a that flows from the air inlet 40c to the air outlet 40d. When the blower fan operates, air is drawn in through the air inlet 40c and blown out through the air outlet 40d. The air drawn in through the air inlet 40c passes through the air passage inside the housing 40a of the air conditioning unit 4, passing through the heat exchanger and the blower fan in that order. The air that passes through the blower fan, i.e., conditioned air, is blown out through the air outlet 40d. The direction of the air blown out from the air outlet 40d is adjusted by the up-down louvers 40e and the left-right louvers 40f located on the downwind side of the blower fan. The air conditioning unit 4 can blow air of various humidity and temperatures in various directions. In this way, by blowing out an airflow with at least one of the temperature, wind direction, and air volume adjusted, the air conditioning unit 4 changes the air condition in the target air-conditioned area.

[0066] 12, in this embodiment, the detection unit 2 is provided inside the housing 40a. For example, the detection unit 2 is attached to the bottom panel 40b. Note that the detection unit 2 may be provided separately from the housing 40a.

[0067] For example, multiple air-conditioning areas are set for each direction of the air outlet 40d. The detection means 2 is associated with the air-conditioning means 4. The air-conditioning means 4 determines the airflow control content based on not only information about the indoor environment but also biological information detected by the detection means 2.

[0068] 14, the control system 1 further includes an environment acquisition means 5. The environment acquisition means 5 includes a first acquisition means 51, a second acquisition means 52, and a third acquisition means 53.

[0069] The first acquisition means 51 measures the environmental physical quantity of the air in the room H, which is the target space. Specifically, the first acquisition means 51 measures the temperature in the room. Furthermore, the first acquisition means 51 may measure the humidity, CO2 concentration, dust concentration, etc. of the air. For example, the first acquisition means 51 is provided inside the air conditioning means 4.

[0070] The second acquisition means 52 acquires information about the outdoor environmental physical quantities outside the room H. For example, the second acquisition means 52 acquires information such as the outside temperature, weather, climate, dust concentration, UV amount, and solar radiation. For example, the second acquisition means 52 may acquire information by measuring the environmental physical quantities, or may acquire information about the outdoor environmental physical quantities from an external server such as a server of the Japan Meteorological Agency.

[0071] The third acquisition means 53 acquires information relating to the operation of the devices installed in the room H. For example, the third acquisition means 53 acquires information such as the air conditioning load status of the air conditioning means 4, the amount of power consumed by the entire room H, etc.

[0072] The air conditioning means 4 further includes an air conditioning control device 41. The air conditioning control device 41 controls the operation of the air conditioning means 4 based on the detection results of the detection means 2, the information acquired by the environment acquisition means 5, and the like. Specifically, for example, the air conditioning control device 41 has functions including a clock unit, a memory unit, and an air conditioning control unit. The clock unit measures the date and time. The memory unit stores a control database. The control database includes information on combinations of air conditioning control to be performed under certain conditions. Note that the control database may store a model resulting from learning optimal control through AI learning. The air conditioning control unit determines the operation of the air conditioning means 4 based on the acquired information. For example, when the detection means 2 completes detection of biological information within the current detection range, the air conditioning means 4 determines the airflow control content for the air-conditioned area corresponding to that detection range. Note that the functions of the air conditioning control device 41 may be possessed by a control device of the control means 3.

[0073] As a third example of a movement condition for the detection means 2, the detection means 2 determines that the movement condition is satisfied when the control content of the air conditioning means 4 for the first air-conditioned area corresponding to the current detection range is determined. The time when the control content is determined may be when the air conditioning means 4 changes at least one of the temperature, air volume, and air direction of the airflow blown into the first air-conditioned area. The time when the control content is determined may be when the air conditioning means 4 determines not to change the temperature, air volume, and air direction of the airflow blown into the first air-conditioned area. The control means 3 detects that the control content has been determined by acquiring these control signals or calculation results from the air conditioning means 4.

[0074] Determining the control content of a certain air-conditioned area means that detection of the subject's biological information has been completed in the detection range corresponding to that air-conditioned area. In this case, the detection means 2 starts rotating the detector 22 to a position where the detection range is a second air-conditioned area different from the first air-conditioned area. The detection means 2 then stops the detector 22 at a position where the detection range is the second air-conditioned area. The detection means 2 then starts detecting biological information in that detection range.

[0075] For example, if the purpose of air conditioning control is to improve the subject's level of concentration and biological information indicates that the subject's level of concentration is low, the detection means 2 will detect the biological information for a longer period of time than usual. If the air conditioning means 4 determines the control content based on the detected biological information, it can be considered that the detection of the biological information has been performed sufficiently. In this way, the detection of the biological information can be performed for a sufficient period of time to achieve the desired control.

[0076] Next, the operation of the control system 1 will be described with reference to Fig. 15. The flowchart in Fig. 15 starts at any timing, such as when the air conditioning means 4 starts operating.

[0077] In step S11, the detector 22 is moved by the operation of the driving machine 23 to a position where a certain air-conditioned area is set as the detection range, and then stopped.

[0078] Thereafter, in step S12, the detector 22 starts detecting biological information of one or more subjects present in the current detection range.

[0079] Thereafter, in step S13, the determination unit 34 of the control means 3 determines whether or not the movement condition is satisfied.

[0080] If the movement condition is not satisfied in step S13, the operations from step S12 onwards are repeated, i.e., the detector 22 remains stopped until the movement condition is satisfied.

[0081] If the movement condition is met in step S13, for example, if the air conditioning means 4 changes the airflow to the first air-conditioned area corresponding to the current detection range, the operation of step S14 is performed. In step S14, the control means 3 controls the driver 23 to start rotational movement of the stopped detector 22. The control means 3 stops the detector 22 at a position where the detection range includes the air-conditioned area adjacent to the first air-conditioned area. Thereafter, the operations from step S11 onwards are repeated.

[0082] The operation of the flowchart is constantly repeated while the air conditioning unit 4 is operating. For example, the detector 22 rotates 360° and detects the same detection range again. In this way, the biological information of a subject present in a certain detection range is detected at regular intervals.

[0083] According to the second embodiment described above, the control system 1 further includes air conditioning means 4. The air conditioning means 4 determines the airflow control content based on biological information. Furthermore, the detection means 2 may be built into the air conditioning means 4. This allows the air conditioning means 4 and the like to be configured in a space-saving manner.

[0084] Furthermore, the rotational movement of the detector 22 of the detection means 2 is performed in response to the control of the air conditioning means 4. Therefore, the control system 1 can efficiently detect necessary biological information and use it for air conditioning control.

[0085] The air conditioning means 4 may determine the airflow control content based on biological information so as to improve the comfort and productivity of the subject and to increase energy conservation.

[0086] Embodiment 3 16 is a functional block diagram of a control system according to embodiment 3. Note that the same or corresponding parts as those in embodiment 1 or 2 are denoted by the same reference numerals, and a description of these parts will be omitted.

[0087] 16, in the third embodiment, the control system 1 further includes an auxiliary means 6. Although not shown, the auxiliary means 6 may be provided inside the outer casing 21 of the detection means 2, or may be provided separately from the detection means 2. The auxiliary means 6 is a means for acquiring vital data related to the subject in addition to the biological information detected by the detection means 2. The vital data related to the subject includes information related to the position of the subject.

[0088] For example, the auxiliary means 6 may include a thermal image sensor, a real image sensor, a pyroelectric sensor, a position detection sensor, etc. The thermal image sensor can detect the skin temperature to estimate the subject's condition. The thermal image sensor, the real image sensor, the pyroelectric sensor, and the position detection sensor can determine whether the subject is present within the detection range. The auxiliary means 6 may also have a function to estimate the subject's position based on the results detected by the multiple detection means 2. The auxiliary means 6 may also have a function to estimate the subject's position based on the strength of radio waves emitted from a device carried by the subject.

[0089] The auxiliary means 6 may also have an estimation function for estimating the activity amount of the subject. In this case, the auxiliary means 6 estimates the activity amount of the subject based on the heart rate of the subject, the respiratory rate of the subject, the amount of movement of the subject within the target space, etc.

[0090] According to the third embodiment described above, for example, the air conditioning unit 4 can perform air conditioning control by further using the estimation result by the auxiliary unit 6. For example, the detection unit 2 can switch the detection mode by using the position information of the subject by the auxiliary unit 6.

[0091] If the detection means 2 is attached to the control system 1 with the air conditioning area already set in the auxiliary means 6, the same air conditioning area as that of the auxiliary means 6 may be automatically set in the detection means 2. This makes it possible to easily align the detection means 2.

[0092] Embodiment 4 Fig. 17 is a functional block diagram of a control system according to the fourth embodiment. Fig. 18 is a diagram showing an overview of a neural network model. Fig. 19 is a flowchart of the learning process of a learning device according to the fourth embodiment. Fig. 20 is a flowchart of the inference process performed by the control means of the control system according to the fourth embodiment. Note that parts that are the same as or equivalent to parts in the first to third embodiments are given the same reference numerals. Explanation of these parts will be omitted.

[0093] 17, in the fourth embodiment, the control system 1 further includes a learning device 70 as the learning means 7. The learning device 70 uses the past history detected by the detection means 2 in any one of the first to third embodiments as training data and generates a trained control model using a machine learning technique.

[0094] The detection means 2 uses the control model to infer the stopping time from the number of subjects currently present within the detection range. That is, in this embodiment, the detection means 2 infers the stopping time by inputting the number of subjects currently present within the detection range into the control model. The detection means 2 uses the inferred stopping time as the stopping time in the movement conditions. In this way, the detection means 2 can determine the stopping time that is optimal for the current number of people based on past history.

[0095] The past history includes the number of subjects present in the detection range and the stop time used at that time, in association with each other. In particular, the past history includes combinations of the number of people and the stop time when the biometric information was measured with high accuracy. For example, a pre-processing device (not shown) that pre-processes the data extracts, as the past history, biometric information in cases where the biometric information acquired by the detection means 2 is highly similar to the reference biometric information acquired simultaneously by the contact-type vital sensor.

[0096] The learning device 70 has as its functions a data acquisition unit 71, a model generation unit 72, and a model storage unit 73. The hardware configuration of the learning device 70 is similar to that of the control device, which is the control means 3. Note that the function of the model storage unit 73 may be provided in a device other than the learning device 70, such as the control means 3.

[0097] The data acquisition unit 71 acquires learning data from past history. The learning data includes information associating the number of people present within the detection range with the duration of their stoppage.

[0098] The model generation unit 72 generates a control model by performing machine learning using the learning data acquired by the data acquisition unit 71. The control model is a model for inferring a stop time from the number of subjects currently present within the detection range. For example, the model generation unit 72 performs machine learning using a supervised learning method.

[0099] The model generation unit 72 stores the generated control model in the model storage unit 73. Alternatively, the model generation unit 72 updates the control model stored in the model storage unit 73 to a newly generated control model.

[0100] Figure 18 shows a three-layer neural network as an overview of a neural network model. The neural network is composed of input layers X1-X3 consisting of multiple neurons, intermediate layers Y1-Y2 consisting of multiple neurons, and output layers Z1-Z3 consisting of multiple neurons. The intermediate layers are also called hidden layers and may have one or more layers. In a three-layer neural network with one intermediate layer, when multiple inputs are input to the input layer X1-X3, the values ​​are multiplied by weights W1 (w11-w16) and then input to the intermediate layers Y1-Y2. The outputs from the intermediate layers Y1-Y2 resulting from these inputs are multiplied by weights W2 (w21-w26) and output from the output layers Z1-Z3. The final output result depends on the values ​​of the weights W1 and W2.

[0101] The neural network in the model generation unit 72 learns the "stop time" by so-called supervised learning in accordance with the learning data acquired by the data acquisition unit 71 and created based on a combination of the "number of subjects present in the detection range" and the "stop time." That is, the neural network learns by inputting the "number of subjects present in the detection range" into the input layer and adjusting the weights W1 and W2 so that the result output from the output layer approaches the "stop time," which is the correct data (result). The model generation unit 72 generates and outputs a trained control model by executing the above-mentioned learning.

[0102] In this example, supervised learning is applied to the learning algorithm in the model generation unit 72, but the learning algorithm is not limited to this. For example, techniques such as reinforcement learning, unsupervised learning, and semi-supervised learning may be applied to the learning algorithm. Furthermore, deep learning, which learns to extract features themselves, may also be applied as the learning algorithm. Furthermore, the model generation unit 72 may perform machine learning according to other well-known techniques, such as linear programming (LP), integer programming (IP), genetic algorithm (GA), particle swarm optimization (PSO), constrained optimization, and simulated annealing.

[0103] The learning data used by the model generation unit 72 may be similar history information accumulated in a control system other than the control system 1. The other control system may be a system applied in the same detection area, or may be a system that operates independently in a different detection area. Furthermore, a control system collected as learning data may be added to or removed from the targets during the process. A control model that has already been learned for a certain control system may be re-learned for the control system 1 and updated.

[0104] 17, the control means 3 also includes, as functions, a model storage unit 35 and an inference unit 36. When an inference process is performed, the acquisition unit 31 acquires the number of subjects present within the current detection range as inference data.

[0105] The model storage unit 35 stores the latest control model. When the control model is updated by the learning device 70, the latest control model is also stored in the model storage unit 35. The inference unit 36 ​​infers the stopping time based on the inference data and outputs the inference result.

[0106] The flowchart shown in FIG. 19 starts at an arbitrary timing, such as when a specified period of time has elapsed since the previous learning process, or when a command to perform learning is issued.

[0107] In step S21, the data acquisition unit 71 acquires learning data from the history of the control system 1. Then, in step S22, the model generation unit 72 performs machine learning calculations to generate a control model. Then, in step S23, the model generation unit 72 updates the control model stored in the model storage unit 73 to the latest control model generated in step S22. Then, the operation of the flowchart ends.

[0108] The flowchart shown in FIG. 20 may begin when the detector 22 stops at a position corresponding to a certain detection range.

[0109] In step S31, the acquisition unit 31 acquires data for inference. Then, in step S32, the inference unit 36 ​​uses a control model to infer and output a stop time from the acquired data for inference. Then, in step S33, the control means 3 applies the output stop time to the movement conditions for the detection operation in the current detection range. That is, the control means 3 determines that the movement conditions are satisfied when the stop time estimated in step S32 has elapsed since the start of detection of biometric information in the current detection range. Then, the operation of the flowchart ends. That is, the operation shown in the flowchart of embodiment 1 or 2 is performed as appropriate.

[0110] According to the fourth embodiment described above, the control system 1 further includes a learning means 7. The stopping time is inferred by the control model generated by the learning means 7. Therefore, the detection means 2 can be controlled based on a more accurate stopping time. Furthermore, once the number of subjects present in the target range is determined, the control means 3 can obtain the optimal stopping time without performing complex calculations. Therefore, the control means 3 can be configured inexpensively.

[0111] Embodiment 5 21 is a functional block diagram of a control system according to embodiment 5. Note that the same or corresponding parts as those in embodiments 1 to 4 are denoted by the same reference numerals, and a description of these parts will be omitted.

[0112] 21 , in the fifth embodiment, the control system 1 further includes an environment control means 80 that changes the environment of the target space. The control system 1 also includes an environment measurement means 81 that measures the type of environmental physical quantity changed by the environment control means 80. The environment control means 80 changes the environment of the target space based on the biological information detected by the detection means 2 and the detection result of the environment measurement means 81.

[0113] As a first example, the environment to be changed is a fragrance. In this case, the environment control means 80 can emit aromatic components into the target space. The aromatic components adjust the fragrance-related environment of the target space. The environment control means 80 may also be configured to remove odorous substances from the air.

[0114] In the first example, the environment measuring means 81 can further detect the concentration of odor components contained in the air of the target space as a physical quantity related to the scent of the target space. That is, the environment measuring means 81 includes an odor sensor.

[0115] For example, the environment control means 80 emits a directional component of a scent that will improve the productivity of the subject based on biological information.

[0116] As a second example, the environment to be changed is a lighting environment. The lighting environment includes illuminance and color temperature. In this case, the environmental control means 80 has a light source. The environmental control means 80 adjusts the lighting environment of the target space by emitting light inside the target space.

[0117] In the second example, the environment measuring means 81 can further detect the illuminance of the target space as a physical quantity indicating the lighting environment of the target space. That is, the environment measuring means 81 includes an illuminance sensor. The environment measuring means 81 may further include a color temperature sensor capable of detecting color temperature.

[0118] For example, the environmental control means 80 emits light based on biological information to create a lighting environment that improves the productivity of the subject.

[0119] In the third example, the control system 1 controls the sound environment in the target space as the environment of the target space. The sound environment is an environment related to sounds heard by people in the target space. The sound environment includes physical quantities related to sound, such as the loudness of the audible sound, sound pressure, frequency components of the sound, and, if the sound is music, the music genre.

[0120] In the third example, the environmental control means 80 includes a speaker that emits sound. The environmental control means 80 adjusts the sound environment of the target space by emitting sound inside the target space.

[0121] In the third example, the environment measurement means 81 can further detect sound in the target space as a physical quantity related to the sound in the target space. That is, the environment measurement means 81 includes a sound sensor with a microphone. The sound sensor can detect the volume, sound pressure, frequency components of the sound, etc. If the sound is music, the environment measurement means 81 may further be able to estimate the musical genre of the music.

[0122] For example, the environmental control means 80 emits a sound that improves the productivity of the subject based on biological information.

[0123] According to the fifth embodiment described above, the environment control means 80 can control various environments in the target space based on the biological information of the target person detected by the detection means 2.

[0124] The environment control means 80 and the environment measurement means 81 may have any combination of the functions of the first to third examples.

[0125] Next, an example of hardware constituting the control device of the control means 3 will be described with reference to FIG. FIG. 22 is a hardware configuration diagram of the control means of the control system according to the first to fifth embodiments.

[0126] Each function of the control means 3 can be realized by a processing circuit. For example, the processing circuit includes at least one processor 100a and at least one memory 100b. For example, the processing circuit includes at least one dedicated hardware 200.

[0127] When the processing circuit includes at least one processor 100a and at least one memory 100b, the functions of the control means 3 are implemented by software, firmware, or a combination of software and firmware. At least one of the software and firmware is written as a program. At least one of the software and firmware is stored in the at least one memory 100b. The at least one processor 100a implements the functions of the control means 3 by reading and executing the program stored in the at least one memory 100b. The at least one processor 100a is also referred to as a central processing unit, processing unit, arithmetic unit, microprocessor, microcomputer, or DSP. For example, the at least one memory 100b may be a non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, or EEPROM, a magnetic disk, a flexible disk, an optical disk, a compact disk, a minidisk, or a DVD.

[0128] When the processing circuit includes at least one dedicated hardware 200, the processing circuit is realized, for example, by a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof. For example, each function of the control means 3 is realized by a processing circuit. For example, each function of the control means 3 is realized collectively by a processing circuit.

[0129] Some of the functions of the control means 3 may be realized by dedicated hardware 200, and the other parts may be realized by software or firmware. For example, the function of the acquisition unit 31 may be realized by a processing circuit as dedicated hardware 200, and functions other than the function of the acquisition unit 31 may be realized by at least one processor 100a reading and executing a program stored in at least one memory 100b.

[0130] In this way, the processing circuitry realizes the functions of the control means 3 by hardware 200, software, firmware, or a combination thereof.

[0131] Although not shown, each function of the air conditioning control device 41 is also realized by a processing circuit equivalent to the processing circuit that realizes each function of the control means 3.

[0132] At least some of the functions of the control means 3 may be realized on a cloud server. In this case, the processing circuit is composed of multiple partial circuits. The multiple partial processing circuits are provided in each of the multiple devices that make up the cloud server. The multiple devices that make up the cloud server may each be provided in a different building. In this case, the functions of the control means 3 that are realized on the cloud server are involved in controlling the detection means 2 by communicating with the detection means 2 via a network.

[0133] To summarize the above explanation, possible configurations of the technology according to the present disclosure include the configurations listed below as appendices. (Appendix 1) a detecting means for detecting biological information including at least one of a pulse wave and a heart rate of a subject present in a target space in a non-contact manner; a control means for controlling the operation of the detection means; Equipped with The detection means a detector having a detection surface that receives reflected waves from the subject to detect the biological information; a driver that rotates and moves the detector so that the detection range of the detection surface changes; and After the driving machine rotates the detector, the detection of the biological information is performed when the detector is stopped. Control system. (Appendix 2) a time period during which the detector stops and the biological information is detected is longer than a time period during which the detector starts to rotate and moves and stops at a position corresponding to another detection range; 10. The control system of claim 1. (Appendix 3) The driver rotates the detector so that the detection range changes by a specified movement angle. 10. The control system of claim 1 or 2. (Appendix 4) The movement angle is an angle obtained by dividing 360° by a natural number. 4. The control system of claim 3. (Appendix 5) when a movement condition is satisfied, the control means controls the drive machine to rotate the stopped detector, and then stops the detector at a position where the detection range is different from that immediately before. 4. The control system of any one of claims 1 to 3. (Appendix 6) The movement condition is satisfied when a specified stop time has elapsed since the driving machine stopped. 6. The control system of claim 5. (Appendix 7) The movement condition is satisfied when the detector completes detection of the biological information of one or more subjects present within a detection range. 10. The control system of claim 5 or 6. (Appendix 8) The detector switches between a short-distance mode for detecting the biometric information of a subject who is in a nearby position and a long-distance mode for detecting the biometric information of a subject who is in a distant position according to the position of the subject. 8. The control system of any one of claims 1 to 7. (Appendix 9) an adjacent detection means provided in the target space for detecting the biological information in a non-contact manner; Further provided with The biological information of a subject who is closer to the adjacent detection means than to the detection means is detected by the adjacent detection means rather than the detection means. 9. The control system of any one of claims 1 to 8. (Appendix 10) an air conditioning unit that blows out an airflow to adjust the state of air in the target space; Further provided with The air conditioning unit determines the control content of the airflow based on the biological information detected by the detection unit. 10. The control system of any one of claims 1 to 9. (Appendix 11) The detection means is built into a housing of the air conditioning means provided in the target space, 11. The control system of claim 10. (Appendix 12) the air conditioning means detects the biological information of the subject with a first air-conditioning area among the plurality of air-conditioning areas into which the target space is divided as a detection range, and then rotates and moves the detector to a position where a second air-conditioning area, different from the first air-conditioning area, among the plurality of air-conditioning areas is set as a detection range, and stops the detector. 12. The control system of claim 10 or 11. (Appendix 13) When the detector is stopped with the first air-conditioning area as its detection range, if the air conditioning means changes at least one of the temperature, air volume, and air direction of the airflow being blown into the first air-conditioning area, the detector starts moving to a position corresponding to the second air-conditioning area. 13. The control system of claim 12. (Appendix 14) When the detector is stopped with the first air-conditioning area as its detection range, if it is determined that the air conditioning means will not change the temperature, air volume, and air direction of the airflow being blown into the first air-conditioning area, the detector starts moving to a position corresponding to the second air-conditioning area. 14. The control system of claim 12 or 13. (Appendix 15) a training means for generating the model; Further provided with the control means controls the driving machine when a specified stop time has elapsed since the driving machine stopped, thereby rotating the stopped detector and then stopping the detector at a position where the detection range is different from that immediately before; The learning means a data acquisition unit that associates the number of subjects present in a detection range of the detector with the time required for the detector to acquire the biometric information of all subjects present in the detection range, and acquires the information as learning data; a model generation unit that generates, from the learning data acquired by the data acquisition unit, a trained control model for inferring the stopping time from the number of subjects present in the detection range of the detector; and With 15. The control system of any one of claims 1 to 14. (Appendix 16) When the detector stops, the control means uses the control model to infer the stop time from the number of subjects present within the detection range of the detector. 16. The control system of claim 15. [Explanation of symbols]

[0134] 1 control system, 2, 2a, 2b detection means, 3 control means, 4, 4a, 4b air conditioning means, 5 environment acquisition means, 6 auxiliary means, 7 learning means, 21 outer shell, 22 detector, 22s detection surface, 23 driver, 31 acquisition unit, 32 detection control unit, 33 movement control unit, 34 judgment unit, 35 model memory unit, 36 inference unit, 40 air conditioning device, 40a housing, 40b bottom panel, 40c intake port, 40d outlet port, 40e upper and lower louvers, 40f left and right louvers, 41 air conditioning control device, 51 first acquisition means, 52 second acquisition means, 53 third acquisition means, 70 learning device, 71 data acquisition unit, 72 model generation unit, 73 model memory unit, 80 Environmental control means, 81 Environmental measurement means, 100a Processor, 100b Memory, 200 Hardware, A1, A2, A3, A4 Air conditioning area

Claims

1. a detecting means for detecting biological information including at least one of a pulse wave and a heart rate of a subject present in a target space in a non-contact manner; a control means for controlling the operation of the detection means; Equipped with The detection means a detector having a detection surface that receives reflected waves from the subject to detect the biological information; a driver that rotates and moves the detector so that the detection range of the detection surface changes; and After the driving machine rotates the detector, the detection of the biological information is performed when the detector is stopped. Control system.

2. a time period during which the detector stops and the biological information is detected is longer than a time period during which the detector starts to rotate and moves and stops at a position corresponding to another detection range; The control system of claim 1 .

3. The driver rotates the detector so that the detection range changes by a specified movement angle. The control system of claim 1 .

4. The movement angle is an angle obtained by dividing 360° by a natural number. The control system of claim 3 .

5. when a movement condition is satisfied, the control means controls the drive machine to rotate the stopped detector, and then stops the detector at a position where the detection range is different from that immediately before. The control system of claim 1 .

6. The movement condition is satisfied when a specified stop time has elapsed since the driving machine stopped. The control system of claim 5 .

7. The movement condition is satisfied when the detector completes detection of the biological information of one or more subjects present within a detection range. The control system of claim 5 .

8. The detector switches between a short-distance mode for detecting the biometric information of a subject who is in a nearby position and a long-distance mode for detecting the biometric information of a subject who is in a distant position according to the position of the subject. The control system of claim 1 .

9. an adjacent detection means provided in the target space for detecting the biological information in a non-contact manner; Further provided with The biological information of a subject who is closer to the adjacent detection means than to the detection means is detected by the adjacent detection means rather than the detection means. The control system of claim 1 .

10. an air conditioning unit that blows out an airflow to adjust the state of air in the target space; Further provided with The air conditioning unit determines the control content of the airflow based on the biological information detected by the detection unit. A control system according to any one of claims 1 to 9.

11. The detection means is built into a housing of the air conditioning means provided in the target space, The control system of claim 10.

12. the air conditioning means detects the biological information of the subject with a first air-conditioned area among the plurality of air-conditioned areas into which the target space is divided as a detection range, and then rotates and moves the detector to a position where a second air-conditioned area, different from the first air-conditioned area, among the plurality of air-conditioned areas, is set as a detection range, and stops the detector. The control system of claim 10.

13. When the detector is stopped with the first air-conditioning area as its detection range, if the air conditioning means changes at least one of the temperature, air volume, and air direction of the airflow being blown into the first air-conditioning area, the detector starts moving to a position corresponding to the second air-conditioning area.

13. The control system of claim 12.

14. When the detector is stopped with the first air-conditioning area as its detection range, if it is determined that the air conditioning means will not change the temperature, air volume, and air direction of the airflow being blown into the first air-conditioning area, the detector starts moving to a position corresponding to the second air-conditioning area.

13. The control system of claim 12.

15. A training method to generate the model, Further provided with the control means controls the driving machine when a specified stop time has elapsed since the driving machine stopped, thereby rotating the stopped detector and then stopping the detector at a position where the detection range is different from that immediately before; The learning means a data acquisition unit that associates the number of subjects present in a detection range of the detector with the time required for the detector to acquire the biometric information of all subjects present in the detection range, and acquires the information as learning data; a model generation unit that generates, from the learning data acquired by the data acquisition unit, a trained control model for inferring the stopping time from the number of subjects present in the detection range of the detector; and It had A control system according to any one of claims 1 to 9.

16. When the detector stops, the control means uses the control model to infer the stop time from the number of subjects present within the detection range of the detector.

16. The control system of claim 15.

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