Indoor ventilation system

Abstract

Provided is an indoor ventilation system for efficiently ventilating an indoor space in a building that is large in scale.　A building 11 has a ceiling 13 that covers an indoor space formed by surrounding the periphery of a floor 14 with walls 12. An air supply opening 33 and an air supply fan 32 that supply outdoor air into the indoor space are disposed in a wall 12 in the stated order from the floor 14 toward the upper side in the height direction, and a circulation fan 34 that circulates the air within the indoor space is disposed in said wall 12 between the air supply opening 33 and the air supply fan 32. Additionally, an exhaust fan 31 that exhausts the air within the indoor space to outside of the building 11 is disposed in a wall 12 opposite from the air supply fan 32 with the floor 14 therebetween. The environment within the indoor space is measured by a sensing unit, and when a measurement value measured by the sensing unit is equal to or greater than a preset threshold value, a fan control unit 36 controls the operations of the exhaust fan 31, the air supply fan 32, and the circulation fan 34, as well as the air supply action of the air supply device 33.

Description

Indoor ventilation system

[0001] The present disclosure relates to an indoor ventilation system that ventilates the interior of a large building such as a gymnasium.

[0002] Indoor ventilation in relatively large buildings such as gymnasiums has become important from a hygiene standpoint. Patent Document 1 discloses an indoor ventilation device that divides an indoor space into compartments, provides a human body detection sensor and an exhaust outlet on the ceiling of each compartment, and exhausts air from the exhaust outlet corresponding to the compartment where the human body detection sensor detects the presence of a person, thereby ventilating the indoor space.

[0003] Japanese Patent Application Publication No. 9-178208

[0004] The interior of large buildings such as gymnasiums has high ceilings. Therefore, if a human body detection sensor and an exhaust vent are installed on the ceiling, as in the indoor ventilation device described in Patent Document 1, the distance between the human body detection sensor and a person becomes large, and the human body detection sensor may not be able to detect a person, resulting in insufficient ventilation of the interior of the building. As a result, the interior of the building cannot be ventilated efficiently.

[0005] The present disclosure has been made to solve the above-mentioned problems, and aims to provide an indoor ventilation system that efficiently ventilates the interior of a large building such as a gymnasium.

[0006] The indoor ventilation system disclosed herein is an indoor ventilation system for ventilating a building having walls extending vertically upward around the floor and a ceiling extending to cover the interior of the building surrounded by the walls, and is equipped with: an air intake port and an air intake fan that are arranged on the wall in order from the floor to the upper part of the wall in the vertical direction and supply outside air into the building; a circulation fan that is arranged between the air intake port and the air intake fan and draws in and circulates indoor air; an exhaust fan that is arranged on the wall opposite the air intake fan across the floor and exhausts indoor air to the outside of the building; a detection unit that is arranged indoors and measures the indoor environment; and a fan control unit that controls the operation of the exhaust fan, air intake fan and circulation fan and the air intake operation of the air intake port when the measurement value measured by the detection unit is equal to or greater than a predetermined threshold value.

[0007] The indoor ventilation system according to the present disclosure has the effect of being able to efficiently ventilate the interior of a large building such as a gymnasium.

[0008] 1 is a block diagram illustrating an indoor ventilation system according to a first embodiment. A partial block diagram illustrating an indoor ventilation system according to the first embodiment. An explanatory diagram illustrating an airflow in the indoor ventilation system according to the first embodiment. An explanatory diagram illustrating an airflow in the indoor ventilation system according to the first embodiment. A flowchart illustrating control of the indoor ventilation system according to the first embodiment. A block diagram illustrating an indoor ventilation system according to a second embodiment. A block diagram illustrating an indoor ventilation system according to a third embodiment. A flowchart illustrating control of the indoor ventilation system according to the third embodiment. A block diagram illustrating an indoor ventilation system according to a fourth embodiment. A block diagram illustrating an indoor ventilation system according to a fifth embodiment. A block diagram illustrating an indoor ventilation system according to the fifth embodiment. A block diagram illustrating a neural network illustrating control of the indoor ventilation system according to the fifth embodiment. A flowchart illustrating learning processing of a learning device for control of the indoor ventilation system according to the fifth embodiment. A block diagram illustrating an inference device for control of the indoor ventilation system according to the fifth embodiment. A flowchart illustrating inference processing of an inference device for control of the indoor ventilation system according to the fifth embodiment. A block diagram illustrating an indoor ventilation system 140 according to a modified example of the fifth embodiment. A network diagram illustrating an indoor ventilation system according to a sixth embodiment. FIG. 10 is a diagram showing an example of the hardware configuration of a blower control unit of the indoor ventilation system according to the first to sixth embodiments.

[0009] The following describes embodiments of the subject matter of the present disclosure with reference to the accompanying drawings. In each drawing, identical or corresponding parts are designated by the same reference numerals, and redundant explanations are appropriately simplified or omitted. Note that the subject matter of the present disclosure is not limited to the following embodiments, and any component of the embodiments may be modified or omitted within the scope of the gist of the present disclosure.

[0010] First Embodiment. <Configuration of Indoor Ventilation System 100> Figure 1 is a configuration diagram showing an indoor ventilation system 100 according to a first embodiment. Figure 2 is a partial configuration diagram showing the indoor ventilation system 100 according to the first embodiment, as viewed from arrow A in Figure 1. A large indoor building 11, such as a gymnasium, is shown as an example and has a rectangular parallelepiped shape. The building 11 includes a first wall 12a and a second wall 12b, which are provided vertically upward to surround a rectangular floor 14, a third wall 12c and a fourth wall 12d (described below) (the first wall 12a, the second wall 12b, the third wall 12c, and the fourth wall 12d may also be referred to as walls 12), and a ceiling 13 that covers the indoor space enclosed by the floor 14 and the walls 12. A plurality of people 21 are present on the floor 14.

[0011] An exhaust fan 31 is installed on the second wall 12b. The exhaust fan 31 is installed on the upper side of the second wall 12b in the height direction. The exhaust fan 31 exhausts the air inside the building 11 to the outside of the building 11, as shown by airflow 54. The exhaust fan 31 can change the volume of air exhausted to the outside of the building 11 by controlling the rotation speed of the fan of the supply air fan 32 in response to a command from the fan control unit 36. The control range of the air volume of the exhaust fan 31 is, for example, 0 to 6000 m3 / h.

[0012] 2, on first wall 12a on the opposite side of floor 14 from exhaust fan 31, air intake port 33, circulation fan 34, and air intake fan 32 are installed in this order from floor 14 upward in the height direction. Air intake port 33, circulation fan 34, and air intake fan 32 are installed substantially in a row, i.e., substantially in a straight line.

[0013] The air intake 33 supplies outside air into the building 11, as shown by airflow 53. When the exhaust fan 31 operates to create a negative pressure inside the building 11, the outside air is supplied in the direction of the second wall 12b, as shown by airflow 53. The air intake 33 has, for example, a louver as an air volume adjustment mechanism, and the amount of air supplied into the building 11 can be adjusted by changing the opening degree of the louver. The opening degree of the louver is changed according to a command from the fan control unit 36. In the present disclosure, changing the opening degree of the louver of the air intake 33 according to a command from the fan control unit 36 ​​is referred to as the air intake operation of the air intake 33.

[0014] The supply air blower 32 supplies outside air into the building 11, as shown by airflow 51. The outside air is supplied in a direction from the first wall 12a toward the second wall 12b, as shown by airflow 51. The supply air blower 32 can change its air volume by controlling the rotation speed of the fan of the supply air blower 32 in response to a command from the blower control unit 36. The control range of the air volume of the supply air blower 32 is similar to that of the exhaust air blower 31, for example, 0 to 6000 m3 / h.

[0015] The circulation fan 34 is installed with an intake space between it and the first wall 12a, i.e., a gap. The circulation fan 34 draws air from inside the building 11 through this intake space and blows it toward the second wall 12b as shown by airflow 52 (hereinafter, also referred to as "supplying air toward the second wall 12b"). In other words, the circulation fan 34 circulates the air inside the building 11. The circulation fan 34 may be installed without an intake space between it and the first wall 12a. In that case, the circulation fan 34 is configured to be able to draw air from above and below the circulation fan 34 (the upper and lower sides in the height direction in FIG. 1). The circulation fan 34 can change its air volume by controlling the rotation speed of its fan in response to commands from the fan control unit 36. The control range of the air volume of the circulation blower 34 is about 1 / 2 to 1 / 4 of the maximum air volume of the exhaust blower 31, for example, 0 to 2000 m3 / h.

[0016] The gas detection unit 35 is a detection unit that measures the environment within the building 11. In this example, the gas detection unit 35 is a carbon dioxide sensor that measures the carbon dioxide concentration within the building 11. The gas detection unit 35 detects carbon dioxide within the building 11 and measures the concentration. The carbon dioxide measured by the gas detection unit 35 includes carbon dioxide emitted from the breathing of the person 21. Information on the carbon dioxide concentration measured by the gas detection unit 35 is sent to the blower control unit 36. Note that the gas detection unit 35 may detect the presence or absence of carbon dioxide within the building 11, and the measurement of the carbon dioxide concentration may be performed by the blower control unit 36. The gas detection unit 35 is preferably installed near the exhaust blower 31 or in the vicinity of the exhaust blower 31 indoors in the building 11, where carbon dioxide is likely to collect. The vicinity here refers to the range within the building 11 in which the carbon dioxide concentration can be detected.

[0017] The blower control unit 36 ​​receives information about the carbon dioxide concentration measured by the gas detection unit 35, and when the carbon dioxide concentration is equal to or higher than a predetermined threshold value (e.g., 1000 ppm), controls the operation of the exhaust blower 31, the supply blower 32, and the circulation blower 34, and the intake operation of the air inlet 33, to ventilate the interior of the building 11. Note that information is transmitted and received between the blower control unit 36 ​​and each of the exhaust blower 31, the supply blower 32, the circulation blower 34, the air inlet 33, and the gas detection unit 35 via wired or wireless means.

[0018] <Operation of indoor ventilation system 100> When the gas detection unit 35 detects a person 21 inside the building 11, the blower control unit 36 ​​increases the air volume of the exhaust blower 31, decreases the air volume of the supply blower 32, and increases the air volume of the circulation blower 34.

[0019] First, the function of the circulation fan 34 will be described with reference to Figures 3 and 4. Figures 3 and 4 are explanatory diagrams showing the airflow of the indoor ventilation system 100 according to the first embodiment.

[0020] Assuming a rectangular parallelepiped building 11 such as a gymnasium, for example, the size is approximately (10 to 30 m) x (20 to 40) m floor and (7 to 15) m height. In order to exhaust hot air near the ceiling 13, the building 11 has an air supply fan 32 installed near the ceiling of the first wall 12a, and an exhaust fan 31 installed near the ceiling of the second wall 12b facing the first wall 12a, i.e., on the opposite side of the first wall 12a. In addition, an air supply port 33 is installed near the floor, specifically at a height of (0 to 50) cm from the floor to the first wall 12a.

[0021] The circulation fan 34 is installed near the first wall 12a, specifically at a height of 2 to 4 meters above the floor surface of the floor 14, and approximately 10 cm away from the first wall 12a. The installation height of the circulation fan 34 is lower than that of the intake fan 32 and the exhaust fan 31, but higher than the air intake port 33. The installation height of the circulation fan 34 is preferably less than half the height of the ceiling 13, and is preferably installed on the floor 14 side. The circulation fan 34 circulates air inside the building 11. Note that in a shape like the ceiling 13, the height of the ceiling 13 is set to the average height (ha + hb) / 2 of the maximum height ha and minimum height hb of the ceiling 13, as shown in FIG. 3 .

[0022] 3 shows the airflow when the circulation fan 34 is not operating. Examples of cases where the circulation fan 34 is not operating include when the fan control unit 36 ​​stops the operation of the circulation fan 34, when the power supply to the circulation fan 34 is turned off, or when the circulation fan 34 is not installed. When the air supply fan 32 and the exhaust fan 31 are operating, an airflow 56 is formed from the air supply fan 32 toward the exhaust fan 31, and an airflow 57 is formed from the air supply port 33 toward the exhaust fan 31. When the circulation fan 34 is not operating, the outside air supplied from the air supply port 33 becomes an airflow 57 that flows linearly toward the exhaust fan 31. This reduces the airflow near the person 21, resulting in a reduced ventilation effect.

[0023] FIG. 4 shows the airflow when the circulation fan 34 is operating. When the intake fan 32 and the exhaust fan 31 are operating, an airflow 56 is formed from the intake fan 32 toward the exhaust fan 31, and an airflow 57 is formed from the intake port 33 toward the exhaust fan 31. When the circulation fan 34 is operating, the circulation fan 34 forms an airflow 52 directed horizontally inward. Therefore, the airflow 57 from the intake port 33 toward the exhaust fan 31 is suppressed by the airflow 52 of the circulation fan 34, and becomes an airflow that passes near the person 21 on the floor surface of the floor 14. In other words, the airflow near the person 21 is increased, resulting in a greater ventilation effect. In this way, the circulation fan 34 is effective in enhancing ventilation near the person 21.

[0024] FIG. 5 is a flowchart illustrating the control of the indoor ventilation system 100 according to the first embodiment.

[0025] In step S11, the blower control unit 36 ​​starts the operation of the exhaust blower 31, the intake blower 32, and the circulation blower 34.

[0026] In step S12, after a predetermined time has elapsed, the gas detection unit 35 measures the carbon dioxide concentration. The blower control unit 36 ​​determines whether the carbon dioxide concentration measured by the gas detection unit 35 exceeds a predetermined threshold value.

[0027] If the carbon dioxide concentration measured by the gas detection unit 35 is equal to or lower than the threshold value (NO in step S12), in step S15, the blower control unit 36 ​​stops the operation of the exhaust blower 31, the supply air blower 32, and the circulation blower 34, and maintains the stopped state, i.e., waits, until a preset time has elapsed. Then, the process proceeds to step S11.

[0028] If the carbon dioxide concentration measured by the gas detection unit 35 exceeds the threshold value (YES in step S12), in step S13, the blower control unit 36 ​​maintains the operation of the exhaust blower 31, the supply air blower 32, and the circulation blower 34 until a preset time has elapsed.

[0029] In step S14, the gas detector 35 measures the concentration of carbon dioxide, and the blower controller 36 determines whether the carbon dioxide concentration measured by the gas detector 35 exceeds a threshold value.

[0030] If the carbon dioxide concentration measured by the gas detection unit 35 is equal to or lower than the threshold value (NO in step S14), in step S15, the blower control unit 36 ​​stops the operation of the exhaust blower 31, the supply air blower 32, and the circulation blower 34, and maintains the stopped state, i.e., waits until a predetermined time has elapsed. Then, the process proceeds to step S11.

[0031] If the carbon dioxide concentration measured by the gas detection unit 35 exceeds the threshold value (YES in step S14), in step S13, the blower control unit 36 ​​maintains the operation of the exhaust blower 31, the supply air blower 32, and the circulation blower 34 until a predetermined time has elapsed.

[0032] In this way, when the carbon dioxide concentration measured by the gas detection unit 35 exceeds the threshold, the blower control unit 36 ​​operates the exhaust blower 31, the supply blower 32, and the circulation blower 34 to ventilate the interior of the building 11. It is desirable to change the ventilation volume for ventilation of the interior of the building 11 depending on the carbon dioxide concentration measured by the gas detection unit 35. For example, the blower control unit 36 ​​increases the air volume of the exhaust blower 31, increases the air volume of the circulation blower 34, and decreases the air volume of the supply blower 32. This allows for effective ventilation around the person 21. Although the air intake vent 33 is not a blower, it can adjust the volume of air supplied into the building 11 by changing the opening degree of its louvers. The opening degree of the louvers is changed by a command from the blower control unit 36.

[0033] <Effects of the Indoor Ventilation System 100> As described above, in the indoor ventilation system 100 according to the first embodiment, the blower control unit 36 ​​controls the operation of the exhaust blower 31, the supply blower 32, and the circulation blower 34 and the air supply operation of the air inlet 33 so that the carbon dioxide concentration in the building 11 is below a reference value, using the carbon dioxide concentration, including that emitted by the person 21, measured by the exhaust blower 31 or the gas detection unit 35 installed near the exhaust blower 31 where air gathers in the building 11. This allows the presence of the person 21 inside the building 11 to be detected and the interior of the building 11 to be efficiently ventilated. Furthermore, the gas detection unit 35 is installed near the exhaust blower 31 installed on the second wall 12b, and is not installed in a portion corresponding to the area between the floor 14 and the ceiling 13 where the person 21 is active. Therefore, the gas detection unit 35 does not interfere with the activities of the person 21 who is using the building 11. 4, the air blower control unit 36 ​​controls the exhaust fan 31, the air supply fan 32, the circulation fan 34, and the air supply port 33 so that the airflow 57 directed from the air supply port 33 toward the exhaust fan 31 passes near the person 21 on the floor surface of the floor 14, thereby efficiently ventilating the interior of the building 11. Note that the above embodiment has been described using a rectangular parallelepiped building 11 as an example, but it goes without saying that the present invention can also be applied to cylindrical or dome-shaped buildings.

[0034] Embodiment 2. <Configuration of indoor ventilation system 110> Fig. 6 is a configuration diagram showing an indoor ventilation system 110 according to embodiment 2. In embodiment 2, the exhaust fan 31, the intake fan 32, the intake port 33, the circulation fan 34, and the gas detection unit 35 shown in embodiment 1 are grouped together as one ventilation group, and multiple ventilation groups are installed in the depth direction of the building 11, with the fan control unit 36 ​​controlling the multiple ventilation groups. Fig. 6 shows an example configuration in which the fan control unit 36 ​​controls four ventilation groups.

[0035] In Fig. 6, for example, exhaust fan 31a, intake fan 32a, intake port 33a, circulation fan 34a, and gas detection unit 35a correspond to exhaust fan 31, intake fan 32, intake port 33, circulation fan 34, and gas detection unit 35, respectively, shown in embodiment 1. Fig. 6 is a schematic diagram showing the configuration in embodiment 2 as viewed from ceiling 13 toward floor 14. Exhaust fan 31a, intake fan 32a, intake port 33a, circulation fan 34a, and gas detection unit 35a constitute ventilation group A61a. In addition, the airflow 54 of the exhaust fan 31, the airflow 51 of the intake fan 32, the airflow 53 of the intake port 33, and the airflow 52 of the circulation fan 34 shown in embodiment 1 correspond to airflow 54a, airflow 51a, airflow 53a, and airflow 52a, respectively, in ventilation group A61a.

[0036] Similarly, exhaust fan 31b, intake fan 32b, intake port 33b, circulation fan 34b, and gas detector 35b constitute ventilation group B 61b. The airflows generated by exhaust fan 31b, intake fan 32b, intake port 33b, and circulation fan 34b are airflow 54b, airflow 51b, airflow 53b, and airflow 52b, respectively.

[0037] Similarly, exhaust fan 31c, intake fan 32c, intake port 33c, circulation fan 34b, and gas detector 35c constitute ventilation group C61c. The airflows generated by exhaust fan 31c, intake fan 32c, intake port 33c, and circulation fan 34c are airflow 54c, airflow 51c, airflow 53c, and airflow 52c, respectively.

[0038] Similarly, exhaust fan 31d, intake fan 32d, intake port 33d, circulation fan 34d, and gas detector 35d constitute ventilation group D61d. The airflows generated by exhaust fan 31d, intake fan 32d, intake port 33d, and circulation fan 34d are airflow 54d, airflow 51d, airflow 53d, and airflow 52d, respectively.

[0039] As described in the first embodiment, a building 11 such as a gymnasium has a rectangular parallelepiped shape. As shown in FIG. 6 , the floor 14 is rectangular. Walls 12, consisting of a first wall 12a, a second wall 12b, a third wall 12c, and a fourth wall 12d, are provided around the rectangular floor 14, extending upward in the height direction. The first wall 12a and the second wall 12b face each other across the floor 14. The third wall 12c and the fourth wall 12d face each other across the floor 14 in the longitudinal direction of the first wall 12a and the second wall 12b, i.e., the depth direction. In FIG. 6 , the depth direction lengths of the first wall 12a and the second wall 12b are longer than the width direction lengths of the third wall 12c and the fourth wall 12d.

[0040] <Operation of indoor ventilation system 110> As shown in FIG. 6, the building 11 has a ventilation group A 61a, a ventilation group B 61b, a ventilation group C 61c, and a ventilation group D 61d installed in this order in the depth direction of the building 11. When the carbon dioxide concentration measured by the gas detection units (35a, 35b, 35c, 35d) corresponding to each ventilation group (61a, 61b, 61c, 61d) exceeds a predetermined threshold value that requires ventilation, the blower control unit 37 controls the operation of the exhaust blowers (31a, 31b, 31c, 31d), intake blowers (32a, 32b, 32c, 32d), and circulation blowers (34a, 34b, 34c, 34d) corresponding to each of the multiple ventilation groups (61a, 61b, 61c, 61d), and the air supply operation of the air intake ports (33a, 33b, 33c, 33d).

[0041] For example, if the gas detector 35a of the ventilation group A61a detects a carbon dioxide concentration that requires ventilation, i.e., if the gas detector 35a detects that a person 21 is present in a place that is mainly ventilated by the ventilation group A61a, the blower control unit 37 controls the operation of the exhaust blower 31a, the supply blower 32a, and the circulation blower 34a of the ventilation group A61a and the air supply operation of the air inlet 33a to ventilate the interior of the building 11. If the gas detector 35b of the ventilation group B61b detects a carbon dioxide concentration that requires ventilation, i.e., if the gas detector 35b detects that a person 21 is present in a place that is mainly ventilated by the ventilation group B61b, the blower control unit 37 controls the operation of the exhaust blower 31b, the supply air blower 32b, and the circulation blower 34b of the ventilation group B61b and the air supply operation of the air inlet 33b to ventilate the interior of the building 11. The fan control unit 37 performs similar control for the ventilation group C 61c and the ventilation group D 61d.

[0042] The operation of the exhaust fans (31a, 31b, 31c, 31d), the supply fans (32a, 32b, 32c, 32d), and the circulation fans (34a, 34b, 34c, 34d) corresponding to each ventilation group (61a, 61b, 61c, 61d) is controlled according to the flowchart shown in FIG. 2 of the first embodiment. The air supply operation of the air supply ports (33a, 33b, 33c, 33d) adjusts the amount of air supplied into the building 11 by changing the opening degree of the louvers. The opening degree of the louvers is changed by a command from the fan control unit 37.

[0043] <Effects of the indoor ventilation system 110> As described above, the indoor ventilation system 110 according to the second embodiment includes the exhaust fan 31, the intake fan 32, the air intake port 33, the circulation fan 34, and the gas detection unit 35 described in the first embodiment as one ventilation group, and multiple ventilation groups (61a, 61b, 61c, 61d) are installed in the depth direction, which is the longitudinal direction, of the building 11. The fan control unit 37 controls the ventilation group of the location where the person 21 is present from among the multiple ventilation groups (61a, 61b, 61c, 61d) to ventilate the interior of the building 11. As a result, even if the locations of the people 21 within the building 11 are unevenly distributed, ventilation is targeted at the locations where the people 21 are present, thereby enabling more efficient ventilation of the interior of the building 11 and contributing to energy savings.

[0044] In the above explanation, a case where multiple ventilation groups (61a, 61b, 61c, 61d) are operated individually is shown, but if a person 21 is in a location that straddles each ventilation group, or if there are many people 21 and operating a single ventilation group takes a long time to ventilate the interior of the building 11. In such a case, the blower control unit 37 may select at least two or more ventilation groups from the multiple ventilation groups (61a, 61b, 61c, 61d) and control the ventilation of the interior of the building 11.

[0045] For example, if the person 21 is located in both ventilation group A61a and ventilation group B61b, the blower control unit 37 controls ventilation group A61a and ventilation group B61b to ventilate the interior of the building 11. If it takes a long time to ventilate the interior of the building 11, the blower control unit 37 may control ventilation group C61c to ventilate the interior of the building 11 in addition to controlling ventilation group A61a and ventilation group B61b.

[0046] Furthermore, when person 21 is widely using the entire indoor space of building 11, the blower control unit 37 may, for example, operate the intake air blower 32a and circulation blower 34a of ventilation group A61a and operate the intake air supply port 33a, and operate the exhaust blower 31d of ventilation group D61d, and after a predetermined time has elapsed, operate the intake air blower 32d and circulation blower 34d of ventilation group D61d and operate the intake air supply port 33d, and operate the exhaust blower 31a of ventilation group A61a, and thereafter repeat this process alternately. Alternatively, the supply air fan 32a and the circulation fan 34a of the ventilation group A61a and the supply air operation of the air inlet 33a may be operated, and the exhaust air fan 31c of the ventilation group C61c may be operated, and after a predetermined time has elapsed, the supply air fan 32c and the circulation fan 34c of the ventilation group C61c and the supply air operation of the air inlet 33c may be operated, and the exhaust air fan 31a of the ventilation group A61a may be operated, and this process may be repeated alternately thereafter.In this way, by alternately switching the operation of the supply air fan, the circulation fan, the supply air operation of the air inlet, and the exhaust fan between multiple ventilation groups, it is possible to efficiently ventilate a wide area indoors.

[0047] Third Embodiment. <Configuration of Indoor Ventilation System 120> Figure 7 is a configuration diagram showing an indoor ventilation system 120 according to a third embodiment. The third embodiment differs from the first embodiment in that, while the gas detection unit 35 was installed in the exhaust fan 31 or its vicinity in the first embodiment, the human detection unit 39 is installed in the circulation fan 34 or its vicinity, which is located near the person 21, in the third embodiment. Like the gas detection unit 35, the human detection unit 39 is a detection unit that measures the environment within the building 11. In the first embodiment, the gas detection unit 35 was a carbon dioxide sensor that detects and measures the concentration of carbon dioxide. In the third embodiment, however, the human detection unit 39 is, for example, an infrared sensor. The infrared sensor directly measures the temperature of the person 21 or the surrounding area including the person 21. Therefore, the infrared sensor detects the presence of the person 21 with higher accuracy than a carbon dioxide concentration sensor. As shown in Figure 7, the human detection unit 39 measures the temperature within a predetermined measurement range 40, specifically, the temperature distribution or average value within the measurement range 40. Here, the measurement range 40 is a location where the person 21 is present. The human detection unit 39 determines the location where the person 21 is present as the measurement range 40 and measures the temperature of the measurement range 40.

[0048] The blower control unit 38 receives information about the temperature measured by the human detection unit 39 and controls the air volume of the exhaust blower 31, the supply air blower 32, the circulation blower 34, and the air intake port 33. Information is sent and received between the blower control unit 38 and each of the exhaust blower 31, the supply air blower 32, the circulation blower 34, the air intake port 33, and the human detection unit 39 via wired or wireless communication. The other configurations are the same as those in the first embodiment, so detailed configuration descriptions will be omitted.

[0049] <Operation of Indoor Ventilation System 120> FIG. 8 is a flowchart illustrating the control of the indoor ventilation system 120 according to the third embodiment.

[0050] In steps S21 and S22, the blower control unit 38 stops the operation of the exhaust blower 31, the supply air blower 32, and the circulation blower 34 (turns the blowers OFF), and maintains this state.

[0051] In step S23, the human detection unit 39 measures the temperature in a predetermined measurement range 40 inside the building 11. If the temperature measured in the measurement range 40 is equal to or higher than a predetermined threshold (e.g., 30°C), the blower control unit 38 determines that a human 21 is present in the measurement range 40, i.e., that a human 21 has been detected. If a human 21 has been detected (Yes in step S23), the process proceeds to step S24. If a human 21 has not been detected, i.e., if it is determined that a human 21 is not present in the measurement range 40 (No in step S23), the process returns to step S22.

[0052] In step S24, the human detection unit 39 measures the temperature in a predetermined measurement range 40 inside the building 11 after a predetermined time has elapsed. If the temperature measured in the measurement range 40 is equal to or greater than a predetermined threshold, the blower control unit 38 determines that a human 21 is present in the measurement range 40, i.e., that a human 21 has been detected. If a human 21 has been detected (Yes in step S24), the process proceeds to step S25. If a human 21 has not been detected, i.e., if it is determined that a human 21 is not present in the measurement range 40 (No in step S24), the process returns to step S22.

[0053] In steps S25 and S26, the blower control unit 38 starts and maintains the operation of the exhaust blower 31, the intake blower 32, and the circulation blower 34 (turning the blowers ON).

[0054] In step S27, the human detection unit 39 measures the temperature in a predetermined measurement range 40 inside the building 11. If the temperature measured in the measurement range 40 is equal to or higher than a predetermined threshold, the blower control unit 38 determines that a human 21 is present in the measurement range 40, i.e., that a human 21 has been detected. If a human 21 has been detected (Yes in step S27), the process returns to step S26. If a human 21 has not been detected, i.e., if it is determined that a human 21 is not present in the measurement range 40 (No in step S27), the process proceeds to step S28.

[0055] In step S28, the human detection unit 39 measures the temperature of a predetermined measurement range 40 inside the building 11 after a predetermined time has elapsed. If the temperature measured in the measurement range 40 is below a predetermined threshold, the blower control unit 38 determines that no human 21 is present in the measurement range 40. If it is determined that no human 21 is present in the measurement range 40, i.e., that a state in which no human 21 is present is being maintained (Yes in step S28), the process proceeds to step S21, where the operation of the exhaust blower 31, the supply air blower 32, and the circulation blower 34 is stopped (the blowers are turned OFF). If the temperature measured in the measurement range 40 is equal to or greater than the predetermined threshold, the process proceeds to step S26. If it is determined that a human 21 is present in the measurement range 40, i.e., that a state in which no human 21 is present is not being maintained (No in step S28), the process proceeds to step S26.

[0056] <Effects of the Indoor Ventilation System 120> As described above, the indoor ventilation system 120 according to the third embodiment is provided with a human detection unit 39 that measures the temperature of the person 21 or the surrounding area including the person 21, located near the circulation fan 34 or the periphery of the circulation fan 34, which is located close to the person 21 inside the building 11. When the human detection unit 39 detects the person 21 inside the building 11, the fan control unit 38 controls the operation of the exhaust fan 31, the intake fan 32, and the circulation fan 34 and the air supply operation of the air intake port 33 to ventilate the interior of the building 11 for a predetermined period of time. This improves the accuracy of detecting the person 21 inside the building 11, thereby enabling more efficient ventilation of the interior of the building 11. The human detection unit 39 is installed near the circulation fan 34 or the periphery of the circulation fan 34 provided on the first wall 12a, and is not installed in an area between the floor 14 and the ceiling 13 where the person 21 is likely to be active. Therefore, the activities of people 21 who are using the building 11 are not hindered. As shown in FIG. 4 of the first embodiment, the fan control unit 38 controls the exhaust fan 31, the supply fan 32, the circulation fan 34, and the intake port 33 so that the airflow 57 from the intake port 33 toward the exhaust fan 31 passes near people 21 on the floor 14. This allows the fan control unit 36 ​​to control the exhaust fan 31, the supply fan 32, the circulation fan 34, and the intake port 33, thereby efficiently ventilating the interior of the building 11. Furthermore, the fan control unit 38 detects people 21 inside the building 11 at predetermined time intervals, and when it does not detect people 21 inside the building 11, it stops the operation of the exhaust fan 31, the supply fan 32, and the circulation fan 34, thereby contributing to energy conservation. While the above embodiment has been described using a rectangular parallelepiped building 11 as an example, it goes without saying that the present invention can also be applied to cylindrical and dome-shaped buildings.

[0057] Fourth Embodiment <Configuration of Indoor Ventilation System 130> Figure 9 is a configuration diagram showing an indoor ventilation system 130 according to a fourth embodiment. FIG. 9 is a schematic diagram showing the configuration of the fourth embodiment as viewed from the ceiling 13 toward the floor 14. In the fourth embodiment, the exhaust fan 31, the intake fan 32, the intake vent 33, the circulation fan 34, and the human detection unit 39 shown in the third embodiment are grouped into one ventilation group. Multiple ventilation groups are installed in the depth direction of the building 11, and a fan control unit 41 controls the multiple ventilation groups. Figure 9 shows an example configuration in which the fan control unit 41 controls four ventilation groups. The fourth embodiment differs from the second embodiment in that human detection units (39a, 39b, 39c, 39d) serving as infrared sensors are provided instead of the gas detection units (35a, 35b, 35c, 35d) serving as carbon dioxide sensors shown in the second embodiment. As in the third embodiment, the human detection units (39a, 39b, 39c, 39d) are installed around the circulation fans (34a, 34b, 34c, 34d) or the circulation fans 34 (34a, 34b, 34c, 34d) that are close to the people 21 inside the building 11 so as to be able to measure the temperature of the people 21 or the surrounding area including the people 21. The other configurations are the same as those in the second embodiment, and therefore detailed configuration descriptions will be omitted.

[0058] 9 , ventilation group A 62a, ventilation group B 62b, ventilation group C 62c, and ventilation group D 62d are installed in this order in the depth direction, which is the longitudinal direction of the interior of building 11. When the human detection units (39a, 39b, 39c, 39d) corresponding to the ventilation groups (62a, 62b, 62c, 62d) detect a person 21, the fan control unit 41 controls the exhaust fans (31a, 31b, 31c, 31d), air supply fans (32a, 32b, 32c, 32d), circulation fans (34a, 34b, 34c, 34d), and air supply ports (33a, 33b, 33c, 33d) corresponding to the ventilation groups (62a, 62b, 62c, 62d) that detected the person 21.

[0059] For example, when the blower control unit 41 detects a person 21 using the human detection unit 39a of the ventilation group A 62a, it controls the operation of the exhaust fan 31a, the supply fan 32a, and the circulation fan 34a of the ventilation group A 62a and the air supply operation of the air supply port 33a to ventilate the interior of the building 11. When the blower control unit 41 detects a person 21 using the human detection unit 39b of the ventilation group B 62b, it controls the operation of the exhaust fan 31b, the supply fan 32b, and the circulation fan 34b of the ventilation group B 62b and the air supply operation of the air supply port 33b to ventilate the interior of the building 11. The blower control unit 41 performs similar control for the ventilation groups C 62c and D 62d.

[0060] The operation of the exhaust fans (31a, 31b, 31c, 31d), the supply fans (32a, 32b, 32c, 32d), and the circulation fans (34a, 34b, 34c, 34d) corresponding to each ventilation group (62a, 62b, 62c, 62d) is controlled according to the flowchart shown in FIG. 8 of the third embodiment. The air intake ports (33a, 33b, 33c, 33d) can adjust the volume of air supplied to the building 11 by changing the opening degree of their louvers. The opening degree of the louvers is changed according to a command from the fan control unit 41. Changing the opening degree of the louvers of the air intake ports (33a, 33b, 33c, 33d) according to a command from the fan control unit 41 is referred to as the air intake operation of the air intake port.

[0061] <Effects of the indoor ventilation system 130> As described above, the indoor ventilation system 130 according to the fourth embodiment has a plurality of ventilation groups (62a, 62b, 62c, 62d) arranged in the depth direction, which is the longitudinal direction of the building 11, with the exhaust fan 31, the intake fan 32, the air intake port 33, the circulation fan 34, and the human detection unit 39 shown in the third embodiment being considered as one ventilation group. The fan control unit 41 uses temperatures measured by the circulation fans (34a, 34b, 34c, 34d) that are close to the person 21 or the human detection units (39a, 39b, 39c, 39d) installed around the circulation fans 34 (34a, 34b, 34c, 34d) to control the ventilation group from the plurality of ventilation groups (62a, 62b, 62c, 62d) where the person 21 is present, thereby ventilating the interior of the building 11. As a result, even if the locations of people 21 within the building 11 are unevenly distributed, ventilation is targeted at the locations where people 21 are present, allowing for efficient ventilation of the interior of the building 11. Furthermore, because the human detection units (39a, 39b, 39c, 39d) that measure the temperature of the locations where people 21 are present are used, the locations of people 21 can be determined more accurately than if gas detection units (35a, 35b, 35c, 35d) that measure carbon dioxide concentration were used. This allows for more efficient ventilation of the interior of the building 11. Furthermore, because the ventilation group of the location where people 21 are present is controlled from among multiple ventilation groups (62a, 62b, 62c, 62d) to ventilate the interior of the building 11, this also contributes to energy conservation.

[0062] In the above explanation, a case where multiple ventilation groups (62a, 62b, 62c, 62d) are operated individually is shown, but if a person 21 is in a location that straddles each ventilation group, or if there are many people 21 and operating a single ventilation group takes a long time to ventilate the interior of the building 11. In such a case, the blower control unit 41 may select at least two or more ventilation groups from the multiple ventilation groups (62a, 62b, 62c, 62d) and control the ventilation of the interior of the building 11.

[0063] In addition, when person 21 is widely using the entire indoor space of building 11, the blower control unit 41 may, for example, operate the intake air blower 32a and circulation blower 34a of ventilation group A62a and operate the intake air supply port 33a, and operate the exhaust blower 31d of ventilation group D62d, and after a predetermined time has passed, operate the intake air blower 32d and circulation blower 34d of ventilation group D62d and operate the intake air supply port 33d, and operate the exhaust blower 31a of ventilation group A62a, and thereafter repeat this process alternately. Alternatively, the supply air fan 32a and circulation fan 34a of ventilation group A62a and the supply air operation of the air inlet 33a may be operated, and the exhaust air fan 31c of ventilation group C62c may be operated, and after a predetermined time has elapsed, the supply air fan 32c and circulation fan 34c of ventilation group C61c and the supply air operation of the air inlet 33c may be operated, and the exhaust air fan 31a of ventilation group A62a may be operated, and this process may be repeated alternately thereafter.In this way, by alternately switching the operation of the supply air fan, circulation fan, supply air operation of the air inlet, and the operation of the exhaust fan between multiple ventilation groups, it is possible to efficiently ventilate a wide area indoors.

[0064] Fifth Embodiment <Configuration of Indoor Ventilation System 140> When detecting people 21 using the carbon dioxide concentration shown in the first embodiment, increasing the airflow rates of exhaust fan 31, intake fan 32, and circulation fan 34 to ventilate the interior of building 11 may temporarily reduce the carbon dioxide concentration inside building 11, resulting in unstable detection of people 21. In the fifth embodiment, in order to stabilize detection of people 21 using the carbon dioxide concentration, indoor ventilation system 140 is controlled using machine learning using artificial intelligence (hereinafter referred to as AI).

[0065] Fig. 10 is a configuration diagram showing an indoor ventilation system 140 according to a fifth embodiment. Fig. 10 corresponds to the learning phase in AI. Fig. 11 is a configuration diagram showing an indoor ventilation system 140 according to the fifth embodiment. Fig. 11 corresponds to the utilization phase in AI. A general overview of the learning phase and utilization phase will be explained at the end of the fifth embodiment.

[0066] A proximity person detection unit 44 and a holder 45 that holds the proximity person detection unit 44 are installed inside the building 11. The proximity person detection unit 44 is, for example, an infrared sensor. The holder 45 is installed between the first wall 12a and the second wall 12b in the width direction of the building 11 and is movable in the height direction by a drive unit (not shown). Multiple proximity person detection units 44 are installed at predetermined intervals in the width direction of the holder 45.

[0067] In addition to the contents of the fan control unit 36 ​​shown in embodiment 1, the fan control unit 42 performs AI processing of information from the drive unit of the holding unit 45 and the proximity person detection unit 44. Based on the information processed by AI and information on the carbon dioxide concentration measured by the gas detection unit 35, the fan control unit 42 controls the air volume of the exhaust fan 31, the intake fan 32, the circulation fan 34, and the intake port 33 to ventilate the interior of the building 11. The other configuration is the same as in embodiment 1, so a detailed description of the configuration will be omitted.

[0068] <Operation of the indoor ventilation system 140> The proximity person detection unit 44 is an infrared sensor with a detectable distance of approximately 5 m. The height from the floor 14 to the ceiling 13 of a building 11 such as a gymnasium generally needs to be 7 m, and preferably 10 m or more. Therefore, when the proximity person detection unit 44 detects a person 21, as shown in FIG. 10 , the holding unit 45 is lowered to a lower position (referred to as a first position) at a detectable distance of 5 m or less on the lower side in the vertical direction.

[0069] In the AI-based learning phase, as shown in FIG. 10 , the proximity detection unit 44 is placed in the lowered position, i.e., a position where it can detect a person 21. In this state, the blower control unit 42 acquires data (referred to as first data) for each hour, for example, every minute, using the airflow rates of the exhaust blower 31, the intake blower 32, and the circulation blower 34 and the carbon dioxide concentration measured by the gas detection unit 35 as parameters. The blower control unit 42 also creates a trained model using data (referred to as second data) detected by the proximity detection unit 44 in response to the acquisition of the first data as a correct answer. In creating the trained model, it is useful to determine whether the change in carbon dioxide concentration is in a transient phase or is steady. Based on the time-to-time changes in the information acquired by the blowers (31, 32, 34), the gas detection unit 35, and the proximity detection unit 44, it determines whether the carbon dioxide concentration is changing or has stabilized and saturated after a change process. This information is added to each data as carbon dioxide concentration change information, thereby improving the accuracy of estimations in the utilization phase, which will be described later.

[0070] In the AI-based utilization phase after the trained model is created, the proximity person detection unit 44 is raised to the raised position (referred to as the second position) as shown in FIG. 11 . At the raised position, the proximity person detection unit 44 detects the person 21 less frequently than at the lowered position, and the position is located higher in the vertical direction than the lowered position. By placing the proximity person detection unit 44 at the raised position, the person 21 can freely move around inside the building 11 without being hindered. In this state, the blower control unit 42 compares the trained model with the changes in the time-based data (first data) of the airflow rates of the exhaust blower 31, the supply air blower 32, and the circulation blower 34 and the carbon dioxide concentration measured by the gas detection unit 35 to estimate, i.e., infer, the presence or absence of the person 21 inside the building 11. This enables accurate detection of the person 21. When the blower control unit 42 determines during the utilization phase that there is a person 21 inside the building 11, i.e., that the carbon dioxide concentration measured by the gas detection unit 35 is above a predetermined threshold, it controls the exhaust blower 31, the intake blower 32, the circulation blower 34, and the intake port 33 so that they are below the threshold, thereby efficiently ventilating the inside of the building 11.

[0071] As described above, the indoor ventilation system 140 according to the fifth embodiment creates a trained model using first data, which uses as parameters the airflow rates of the exhaust fan 31, the supply fan 32, and the circulation fan 34 and the carbon dioxide concentration measured by the gas detection unit 35, and correct second data detected by the proximity person detection unit 44 in response to the acquisition of the first data, and determines whether or not a person 21 is present in the building 11 using this trained model, thereby enabling accurate detection of the person 21. This allows for more efficient ventilation of the interior of the building 11.

[0072] Below, we will provide an overview of the AI ​​learning phase and utilization phase.

[0073] 12 is a block diagram illustrating a learning device 200 that controls the indoor ventilation system 140 according to the fifth embodiment. The learning device 200 includes a data acquisition unit 201 and a model generation unit 202. The trained model storage unit 203 stores the trained model generated by the model generation unit 202. The trained model storage unit 203 may be provided in the learning device 200 or in an inference device 300, which will be described later.

[0074] The data acquisition unit 201 acquires, as learning data, B1 input 1 as measurement data and B2 input 2 (correct answer) as correct answer data.

[0075] The model generation unit 202 learns the C output based on the learning data created based on the combination of the B1 input 1 and the B2 input 2 (correct answer) output from the data acquisition unit 201. That is, it generates a learned model that infers the optimal C output from the B1 input 1 and the B2 input 2 (correct answer) of the target product A. Here, the learning data is data in which the B1 input 1 and the B2 input 2 (correct answer) are associated with each other.

[0076] Here, target product A is an indoor ventilation system 140. B1 input 1 is the airflow rate of each of the exhaust fan 31, the supply fan 32, and the circulation fan 34, and the carbon dioxide concentration measured by the gas detection unit 35. B2 input 2 (correct answer) is information on whether or not a person 21 has been detected by the proximity person detection unit 44. C output is information on the presence or absence of a person 21 in the building 11, i.e., presence information.

[0077] Note that learning device 200 and inference device 300, which will be described later, are used to learn the C output of target product A, but may also be separate devices connected to target product A via a network, for example. Learning device 200 and inference device 300 may also be built into target product A. Furthermore, learning device 200 and inference device 300 may also be provided on a cloud server.

[0078] The learning algorithm used by the model generation unit 202 may be a known algorithm such as supervised learning, unsupervised learning, reinforcement learning, etc. As an example, a case where a neural network is applied will be described.

[0079] The model generation unit 202 learns the C output by so-called supervised learning, for example, according to a neural network model. Here, supervised learning refers to a technique in which pairs of input and result (label) data are provided to the learning device 200, and the learning device 200 learns the features of the learning data and infers the result from the input.

[0080] A neural network is composed of an input layer consisting of multiple neurons, an intermediate layer (hidden layer) consisting of multiple neurons, and an output layer consisting of multiple neurons. The intermediate layer may be one layer or two or more layers.

[0081] The neural network will be described with reference to FIG. 13. FIG. 13 is an explanatory diagram of a neural network showing the control of an indoor ventilation system 140 according to a fifth embodiment. For example, in the case of a three-layer neural network as shown in FIG. 13, when multiple inputs are input to the input layer (X1-X3), the values ​​are multiplied by weights W1 (w11-w16) and input to the middle layer (Y1-Y2), and the results are further multiplied by weights W2 (w21-w26) and output from the output layer (Z1-Z3). This output result varies depending on the values ​​of the weights W1 and W2.

[0082] The neural network learns the C output by so-called supervised learning in accordance with learning data created based on a combination of B1 input 1 and B2 input 2 (correct answer) acquired by the data acquisition unit 201.

[0083] The neural network learns by inputting B1 input 1 to the input layer and adjusting the weights W1 and W2 so that the result output from the output layer approaches B2 input 2 (correct answer).

[0084] The model generation unit 202 generates and outputs a trained model by performing the above-described learning.

[0085] The trained model storage unit 203 stores the trained model output from the model generation unit 202.

[0086] 14 is a flowchart illustrating the learning process of the learning device 200 for controlling the indoor ventilation system 140 according to the fifth embodiment. The learning process of the learning device 200 will be described with reference to FIG.

[0087] In step b1, the data acquisition unit 201 acquires B1 input 1 and B2 input 2 (correct answer). Note that although B1 input 1 and B2 input 2 (correct answer) are acquired simultaneously, it is sufficient if B1 input 1 and B2 input 2 (correct answer) are input in association with each other, and B1 input 1 and B2 input 2 (correct answer) may be acquired at different times.

[0088] In step b2, the model generation unit 202 learns the C output by so-called supervised learning in accordance with the learning data created based on the combination of B1 input 1 and B2 input 2 (correct answer) acquired by the data acquisition unit 201, and generates a learned model.

[0089] In step b3, the trained model storage unit 203 stores the trained model generated by the model generation unit 202.

[0090] 15 is a block diagram illustrating an inference device 300 showing control of the indoor ventilation system 140 according to the fifth embodiment. The inference device 300 includes a data acquisition unit 301 and an inference unit 302. The data acquisition unit 301 acquires a B1 input 1.

[0091] The inference unit 302 infers the C output obtained by using the trained model stored in the trained model storage unit 203. That is, by inputting the B1 input 1 acquired by the data acquisition unit 301 to this trained model, it is possible to output the C output inferred from the B1 input 1.

[0092] In the fifth embodiment, it has been described that the C output is output using a trained model trained by the model generation unit 202 of the target product A, but it is also possible to obtain a trained model from another target product, etc., and output the C output based on this trained model.

[0093] 16 is a flowchart illustrating the inference process of the inference device 300 for controlling the indoor ventilation system 140 according to the fifth embodiment. The inference process performed by the inference device 300 will be described with reference to FIG.

[0094] In step c1, the data acquisition unit 301 acquires the B1 input 1.

[0095] In step c2, the inference unit 302 inputs B1 input 1 to the learned model stored in the learned model storage unit 203 and obtains C output.

[0096] In step c3, the inference unit 302 outputs the C output obtained by the trained model to the blower control unit 42 of the indoor ventilation system 140, which is the target product A.

[0097] In step c4, the fan control unit 42 of the indoor ventilation system 140 uses the output C to control the airflow rates of the exhaust fan 31, the supply fan 32, and the circulation fan 34, and the opening of the air intake port 33. As described above, it is possible to estimate information about the presence or absence of a person 21 in the building 11, i.e., presence information, from the carbon dioxide concentration.

[0098] In the fifth embodiment, we have described the case where supervised learning is applied to the learning algorithm used by the model generation unit 202, but this is not limited to this, and it is also possible to apply reinforcement learning, unsupervised learning, semi-supervised learning, etc.

[0099] The model generation unit 202 may also learn the C output according to learning data created for multiple target products A. The model generation unit 202 may acquire learning data from multiple target products A used in the same area, or may learn the C output using learning data collected from multiple target products A operating independently in different areas. It is also possible to add or remove target products A from which learning data is collected during the process. Furthermore, the learning device 200 that has learned the C output for a certain target product A may be applied to another target product A, and the C output may be re-learned and updated for this other target product A.

[0100] Furthermore, the learning algorithm used in the model generation unit 202 may be deep learning, which learns to extract the features themselves, or machine learning may be performed according to other known methods, such as genetic programming, functional logic programming, or support vector machines.

[0101] <Modification of Embodiment 5> Fig. 17 is a configuration diagram showing an indoor ventilation system 140 according to a modification of Embodiment 5. This modification differs from the indoor ventilation system 140 shown in Fig. 10 in that the proximity person detector 44 is installed on the circulation fan 34 or near the circulation fan 34, eliminating the need for a holding unit 45 that moves in the vertical direction. The proximity person detector 44 may be installed in one location or in multiple locations. The remaining configuration is the same as or equivalent to the configuration of the indoor ventilation system 140 shown in Fig. 10.

[0102] In this modification, as in the fifth embodiment, a trained model is created using first data, which uses as parameters the airflow rates of the exhaust fan 31, the intake fan 32, and the circulation fan 34 and the carbon dioxide concentration measured by the gas detection unit 35, and correct second data detected by the proximity human detection unit 44 in response to the acquisition of the first data, and this trained model is used to determine whether or not a person 21 is present in the building 11, thereby enabling accurate detection of the person 21. Therefore, ventilation inside the building 11 can be performed more efficiently. Furthermore, the elimination of the holding unit 45, which moves in the vertical direction, contributes to stable operation of the indoor ventilation system 140 and cost reduction.

[0103] Sixth Embodiment <Configuration of Indoor Ventilation System 150> Fig. 18 is a network diagram showing an indoor ventilation system 150 according to the sixth embodiment. In the sixth embodiment, a trained model is shared among multiple buildings. Fig. 18 shows buildings (70a, 70b, 70c) as an example of multiple buildings. The buildings (70a, 70b, 70c) each include a fan control unit (71a, 71b, 71c) that controls ventilation in the building. The fan control units (71a, 71b, 71c) communicate with a server 72 via a network 73. Examples of data to be communicated include first data for each hour using the carbon dioxide concentration measured by the gas detection unit 35 and the airflow rates of the exhaust fan 31, the supply fan 32, and the circulation fan 34 as parameters, second data detected by the nearby person detection unit 44 corresponding to the acquisition of the first data, and information about each building. The building information includes, for example, the size of the building, the installation locations of the exhaust fan 31, the intake fan 32, the air intake vent 33, the circulation fan 34, the gas detection unit 35, and the proximity detection unit 44, as well as the air volume control ranges of the exhaust fan 31, the intake fan 32, and the circulation fan 34.

[0104] <Operation of indoor ventilation system 150> In the sixth embodiment, a trained model is generated for each of the multiple buildings (70a, 70b, 70c). The trained model changes depending on the building information. Therefore, the trained model for one building cannot be applied directly to buildings of different sizes. In the sixth embodiment, a trained model is created by adding building information as input data to the trained model for the building, and the created trained model is stored in the server 72 via the network 73. The trained model stored in the server 72 is then used between the multiple buildings (70a, 70b, 70c) and between buildings other than the multiple buildings (70a, 70b, 70c).

[0105] <Effects of the indoor ventilation system 150> As described above, the indoor ventilation system 150 according to the fifth embodiment shares trained models for multiple buildings by storing the trained models for multiple buildings in the server 72 via the network 73. This allows efficient indoor ventilation of the building 11 even for buildings with different building information by utilizing the acquired trained model. Furthermore, even for buildings 11 in which a nearby person detection unit 44 is not installed, efficient indoor ventilation of the building 11 can be achieved by utilizing the acquired trained model.

[0106] Next, the hardware configuration of the fan control unit provided in the indoor ventilation systems (100, 110, 120, 130, 140, 150) according to the above-described first to sixth embodiments will be described. FIG. 19 is a diagram showing an example of the hardware configuration of the fan control units (36, 37, 38, 41, 42, 71a, 71b, 71c) of the indoor ventilation systems (100, 110, 120, 130, 140, 150) according to the first to sixth embodiments. FIG. 19 shows a hardware configuration in which the functions of the fan control units (36, 37, 38, 41, 42, 71a, 71b, 71c) described in the first to sixth embodiments are realized by using hardware that executes a program.

[0107] The blower control unit (36, 37, 38, 41, 42, 71a, 71b, 71c) described in the first to sixth embodiments includes a processor 91 that executes various processes, a memory 92 serving as a main memory, and a storage device 93 that stores information. The processor 91 may be a computing device such as an arithmetic unit, a microprocessor, a microcomputer, a central processing unit (CPU), or a digital signal processor (DSP). The memory 92 may be a non-volatile or volatile semiconductor memory such as a random access memory (RAM), a read-only memory (ROM), a flash memory, an erasable programmable read-only memory (EPROM), or an electrically erasable programmable read-only memory (EEPROM). The storage device 93 stores a program for executing a ventilation airflow rate determination process, i.e., for issuing an appropriate operation mode control command. The processor 91 reads the program stored in the storage device 93 into the memory 92 and executes it. The processor 91 reads out a program stored in the storage device 93 into the memory 92 and executes the program, thereby realizing the functions of the blower control unit described in the first to sixth embodiments.

[0108] The configurations shown in the above embodiments are merely examples of the content, and may be combined with other known technologies, or parts of the configurations may be omitted or modified without departing from the spirit of the invention.

[0109] 11 Building, 12a First wall, 12b Second wall, 13 Ceiling, 14 Floor, 21 Person, 31 Exhaust fan, 32 Intake fan, 33 Air intake port, 34 Circulation fan, 35 Person detection unit, 36 Fan control unit, 51 Air flow, 52 Air flow, 53 Air flow, 54 Air flow, 100 Indoor ventilation system

Claims

1. An indoor ventilation system for ventilating a building having walls provided around a floor and extending upward in a height direction, and a ceiling provided to cover an interior space surrounded by the walls, an air intake port and an air intake fan that are provided on the wall in this order from the floor upward in the height direction and that supply outside air into the room; a circulation fan located between the air intake port and the air intake fan, which draws in and circulates the indoor air; an exhaust fan provided on the wall opposite the intake fan across the floor, for exhausting the indoor air to the outside of the building; a gas detection unit that is provided at or near the exhaust fan and that measures the carbon dioxide concentration in the room; a blower control unit that, when the carbon dioxide concentration measured by the gas detection unit is equal to or higher than a predetermined threshold, controls the operation of the exhaust blower, the intake air blower, and the circulation blower and the air intake operation of the air intake port so that the carbon dioxide concentration measured by the gas detection unit is less than the threshold; a proximity person detection unit that measures the temperature of the person indoors; Indoor ventilation system with.

2. The blower control unit creates a trained model using the air volumes of the exhaust blower, the intake air blower, and the circulation blower, and the carbon dioxide concentration measured by the gas detection unit as parameters, with first data acquired at each time point and second data measured by the proximity human detection unit in response to the acquisition of the first data as correct answers, compares the time-to-time change in the carbon dioxide concentration measured by the gas detection unit after the trained model is created with the trained model, and when it determines that the carbon dioxide concentration measured by the gas detection unit after the trained model is created is equal to or greater than the threshold, operates the exhaust blower, the intake air blower, and the circulation blower and performs an air intake operation at the air intake port so that the carbon dioxide concentration is less than the threshold. The indoor ventilation system according to claim 1 .

3. a holder for holding the proximity human detection unit, the holder further comprising a drive unit movable to a first position where the person can be detected and a second position located higher in the height direction than the first position; The nearby person detection unit is located at the first position when the trained model is created.

3. The indoor ventilation system according to claim 2.

4. The proximity detection unit is provided on the circulation fan or in the vicinity of the circulation fan.

3. The indoor ventilation system according to claim 2.

5. The trained model is created by supervised learning, reinforcement learning, unsupervised learning, semi-supervised learning, or deep learning.

3. The indoor ventilation system according to claim 2.

6. a server that stores the trained model; a network for communicating between a plurality of buildings and the server and making the trained model available among the plurality of buildings; The indoor ventilation system according to claim 2, comprising: