Temperature control system, temperature control method, recording device, and recording method

Abstract

To provide a temperature regulation system that can perform appropriate temperature regulation control in consideration of individual differences.SOLUTION: A temperature regulation system comprises an identification part, a sensor device, a temperature regulation device, and a control device. The control device executes identification processing (S11), detection processing (S14) for detecting each parameter with the sensor device, correction processing (S19) for correcting each parameter with each correction value set for each temperature regulation target person, hot / cold feeling calculation processing (S20) for calculating an estimated value of hot / cold feeling by using each corrected parameter, and temperature regulation control processing (S21) for controlling the temperature regulation device so that the estimated value of the hot / cold feeling approaches a hot / cold feeling target value.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present disclosure relates to a temperature control system, a temperature control device, a recording device, and a recording method. [Background technology]

[0002] Conventionally, air conditioners have been proposed that control air conditioning based on the perceived amount of thermal sensation of humans. For example, Patent Document 1 discloses an air conditioner that calculates the perceived amount of thermal sensation of each person using a predetermined relational expression, and adjusts the air volume of air conditioners, etc., for each person so that the calculated perceived amount of thermal sensation approaches zero. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 6-347078 Summary of the Invention [Problem to be solved by the invention]

[0004] The air conditioning device of Patent Document 1 references the skin temperature of a person's forehead, cheeks, etc. when calculating the perceived amount of thermal sensation. However, even if the skin temperature is the same, there are individual differences in how people perceive it. Furthermore, it is difficult to estimate differences in thermal sensation due to differences in a person's activity level using skin temperature alone. While using heart rate is effective for estimating a person's activity level, heart rate also varies from person to person, making it difficult to estimate the perceived amount of thermal sensation using heart rate alone.

[0005] If the perceived amount of thermal sensation is calculated without taking into account the individual differences described above, the accuracy of the calculation of the perceived amount of thermal sensation will decrease, making it impossible to perform appropriate air conditioning control and reducing human comfort.

[0006] An object of one aspect of the present disclosure is to provide a temperature regulation system that is capable of performing appropriate temperature regulation control taking into account individual differences. [Means for solving the problem]

[0007] To solve the above problems, a temperature control system according to one embodiment of the present disclosure includes an identification unit that identifies a temperature control target, a sensor device that detects the skin temperature and heart rate of the temperature control target, a temperature control device that controls the temperature control device, and a control device that controls the temperature control device. The control device performs an identification process that identifies the temperature control target using the identification unit, a detection process that detects at least two or more parameters from the skin temperatures at two or more locations on the body of the temperature control target identified in the identification process and the heart rate using the sensor device, a correction process that corrects the parameters detected in the detection process with correction values ​​set for each of the temperature control target and corresponding to the parameters, a thermal sensation calculation process that calculates an estimated thermal sensation expressed by a predetermined relational expression using the parameters corrected in the correction process, and a temperature control process that controls the temperature control device so that the estimated thermal sensation calculated in the thermal sensation calculation process approaches a thermal sensation target value. The correction values ​​are calculated based on the measured values ​​of the parameters in the daily lives of the subject of temperature control.

[0008] In order to solve the above problems, a temperature control method according to one embodiment of the present disclosure is a temperature control method using the above temperature control system, and includes an identification step of identifying the temperature control target person using the identification unit, a correction value acquisition step of acquiring each of the correction values ​​set for each of the temperature control target people identified in the identification process, a detection step of detecting at least two or more parameters of the skin temperature and heart rate at two or more locations on the body of the temperature control target person identified in the identification process using the sensor device, a thermal sensation calculation step of correcting each of the parameters detected by the sensor device in the detection step with each of the correction values ​​acquired in the correction value acquisition step, and calculating an estimated value of the thermal sensation using each of the corrected parameters, and a temperature control step of controlling the temperature control device so that the estimated value of the thermal sensation calculated in the thermal sensation calculation step approaches a target thermal sensation value.

[0009] In order to solve the above problem, a recording device according to one aspect of the present disclosure is a recording device that records each correction value corresponding to each of the above parameters, and includes a sensor device that measures each of the parameters in the daily life of the temperature control target person, a recording unit that records the measurement values ​​of each of the parameters measured by the sensor device, a calculation unit that calculates each of the correction values ​​based on the measurement values ​​recorded in the recording unit, and a communication unit that transmits each of the correction values ​​calculated by the calculation unit to the control device.

[0010] In order to solve the above problems, a recording method according to one aspect of the present disclosure is a recording method using the above-mentioned recording device, and includes a measurement step of measuring each of the parameters in the daily life of the temperature control subject, a recording step of recording the measurement values ​​of each of the parameters measured in the measurement step in the recording unit, a correction value calculation step of calculating each of the correction values ​​by the calculation unit based on the measurement values ​​of each of the parameters recorded in the recording unit in the recording step, and a storage step of storing each of the correction values ​​calculated by the calculation unit in the correction value calculation step in the recording unit. [Effects of the Invention]

[0011] According to one aspect of the present disclosure, appropriate temperature control can be performed taking into account individual differences. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a schematic diagram illustrating the overall configuration of a temperature adjustment system according to an embodiment of the present disclosure. [Figure 2] FIG. 2 is a block diagram showing the electrical configuration of the temperature adjustment system according to the embodiment. [Figure 3] 10 is a flowchart showing an example of the flow of a method for recording correction values ​​used in temperature adjustment control by the temperature adjustment system according to the embodiment. [Figure 4] 4 is a flowchart showing an example of a flow of temperature adjustment control by the temperature adjustment system according to the embodiment. [Figure 5] 4 is a flowchart showing the process of obtaining a correction value for skin temperature in FIG. 3. [Figure 6] 4 is a flowchart showing the flow of a process for obtaining a correction value for the heart rate in FIG. 3. [Figure 7] 10A and 10B are diagrams showing results of individual correction of cheek skin temperature by the temperature adjustment system according to the embodiment. [Figure 8] 10A and 10B are diagrams showing the results of individual correction of nasal skin temperature by the temperature adjustment system according to the embodiment. [Figure 9] 10A and 10B are diagrams showing results of individual correction of hand skin temperature by the temperature adjustment system according to the embodiment. [Figure 10] 10 is a graph showing the relationship between the result of the estimation of the thermal sensation taking into account the heart rate by the temperature adjustment system according to the embodiment and the declared value of the thermal sensation. DETAILED DESCRIPTION OF THE INVENTION

[0013] A temperature adjustment system 100 according to an embodiment of the present disclosure will be described below with reference to FIGS.

[0014] [Outline of temperature control system] Fig. 1 is a schematic diagram showing the overall configuration of a temperature adjustment system 100. Fig. 2 is a block diagram showing the electrical configuration of the temperature adjustment system 100. As shown in Fig. 1, the temperature adjustment system 100 is mounted on, for example, a vehicle 1, and performs temperature adjustment control for an occupant A. The occupant A is an example of a person to be temperature-adjusted.

[0015] The temperature control target is not limited to occupant A seated in the driver's seat of vehicle 1. For example, although not shown, the temperature control target may include an occupant seated in the passenger seat of vehicle 1 (hereinafter referred to as occupant B), an occupant seated in the rear seat (hereinafter referred to as occupant C), and an occupant (hereinafter referred to as occupant D). The temperature control system 100 is not limited to vehicle 1, and may also control the temperature inside an aircraft, ship, train, etc. In the following, occupant A will be described as an example of a temperature control target.

[0016] As shown in FIG. 2, the temperature adjustment system 100 includes a sensor device 10, a control device 20, a storage unit 30, a recording device 40, a temperature adjustment device 50, and a sheet 60.

[0017] (sensor device) The sensor device 10 has an infrared camera 11 and a heart rate sensor 12. The infrared camera 11 is provided in front of the occupant A and photographs the occupant A. The infrared camera 11 functions as an identification unit that identifies the occupant A by performing facial recognition on the occupant A. Note that the occupant A may also be identified by identification information stored in a communication device such as a smartphone carried by the occupant A.

[0018] The infrared camera 11 also functions as a temperature sensor that detects the skin temperature of the cheeks, nose, hands, etc. of the occupant A. There may be multiple infrared cameras 11, and their locations may be changed as appropriate. Instead of the infrared camera 11, a normal camera and infrared sensor may be used.

[0019] The heart rate sensor 12 is provided, for example, on the seat 60 on which the occupant A sits, and constantly detects the heart rate of the occupant A. The heart rate sensor 12 outputs the detected heart rate of the occupant A as a heart rate signal to the acquisition unit 22 of the control device 20. Note that a wearable device may be used as the heart rate sensor 12, and the location of the heart rate sensor 12 may be changed as appropriate. The heart rate sensor 12 may also periodically detect the heart rate of the occupant A.

[0020] (Control device) The control device 20 is a device for controlling the temperature adjustment device 50. The control device 20 has a processing unit 21, an acquisition unit 22, a communication unit 23, an air conditioning control unit 24, and a seat control unit 25.

[0021] The processing unit 21 has a CPU (Central Processing Unit) and calculates an estimated value y of a thermal sensation, which will be described later, by receiving various data from the acquisition unit 22 and the storage unit 30. Then, the processing unit 21 controls the operation of the temperature adjustment device 50 by outputting control signals to each of the air conditioning control unit 24 and the seat control unit 25 based on the calculated estimated value y of a thermal sensation.

[0022] The acquisition unit 22 acquires each detection value detected by the sensor device 10. The acquisition unit 22 also acquires the cheek, nose, and hand skin temperatures and heart rate of the occupant A detected by the sensor unit 41 from the recording device 40 via the communication unit 23. The communication unit 23 communicates with the communication unit 44 of the recording device 40 via a network.

[0023] The air conditioning control unit 24 is an ECU (Electronic Control Unit) for air conditioning, and controls the operation of the air conditioner 51 based on a control signal from the processing unit 21. The seat control unit 25 is an ECU for seat temperature control, and controls the operation of the seat temperature control unit 52 based on a control signal from the processing unit 21.

[0024] (Storage part) The storage unit 30 stores various data including identification information 31, detection values ​​32, and correction values ​​33. The identification information 31 is information for identifying occupant A. The identification information 31 is information related to facial authentication of occupant A, or information for identifying a smartphone or the like carried by occupant A. The detection values ​​32 are specifically cheek skin temperature T1, nose skin temperature T2, hand skin temperature T3, and heart rate HR4, which will be described later. The correction values ​​33 are correction values ​​T i1 ~T i3 , HR4.

[0025] (sheet) The seat 60 is a seat for a vehicle. The seat 60 is arranged in the interior of the vehicle 1. The seat 60 has a seat cushion 61, a seat back 62, and a headrest 63.

[0026] (Temperature control device) The temperature adjustment device 50 is a device that adjusts the temperature for the occupant A, and as shown in Figs. 1 and 2, has an air conditioner 51 and a seat temperature adjustment device 52. The air conditioner 51 is controlled by the air conditioning control unit 24 and is an air conditioner that performs cooling and heating. As shown in Fig. 1, the air conditioner 51 is provided, for example, in the instrument panel of the vehicle 1.

[0027] The air conditioners 51 may be provided near the driver's seat, the passenger seat, and the rear seats of the vehicle 1. In this case, the air conditioning control unit 24 controls the operation of the air conditioners 51 for each seat separately.

[0028] As shown in FIG. 1, the seat temperature adjusting device 52 includes a seat back heater 52a, a seat back blower 52b, a seat cushion heater 52c, and a seat cushion blower 52d.

[0029] The seatback heater 52a is provided inside the seatback 62 and heats the seatback 62. The seatback blower 52b supplies hot air or cold air from the supply port 62a when a fan is rotated by driving a motor (not shown).

[0030] The seat cushion heater 52c is provided inside the seat cushion 61 and heats the seat cushion 61. The seat cushion blower 52d supplies hot air or cold air from the supply port 61a when a fan is rotated by driving a motor (not shown).

[0031] (Recording device) The recording device 40 is, for example, a portable terminal such as a smartphone or a wearable device carried by the occupant A. In this embodiment, the recording device 40 measures the skin temperatures of the cheeks, nose, and hands of the occupant A, as well as the heart rate, on a daily basis, and stores the measured values. The recording device 40 has a calculation unit 42, a communication unit 44, a recording unit 43, and a sensor unit 41.

[0032] The sensor unit 41 includes, for example, an infrared camera installed indoors at home and a wearable device such as a smart watch that can measure heart rate. The infrared camera measures the skin temperature of the cheeks, nose, and hands of occupant A in daily life. The wearable device measures occupant A's heart rate daily or periodically.

[0033] The calculation unit 42 acquires the measurement values ​​measured by the sensor unit 41 from the recording unit 43, and calculates the correction value for occupant A based on the acquired measurement values. Specifically, the calculation unit 42 calculates the correction value for occupant A by finding the average value or the most frequent value of multiple measurement values.

[0034] The recording unit 43 stores and accumulates the measured values ​​of the skin temperatures of the cheeks, nose, and hands, and the heart rate of the occupant A, which are measured on a daily basis by the sensor unit 41. The recording unit 43 also records the correction values ​​corresponding to the skin temperatures of the cheeks, nose, and hands, and the heart rate of the occupant A, which are calculated by the calculation unit 42. The skin temperatures of each part and the heart rate measured by the occupant A himself may also be recorded in the recording unit 43. The recording unit 43 may also store the measured values ​​of the skin temperatures of the cheeks, nose, and hands, and the heart rate when the occupant A previously rode in the vehicle 1.

[0035] The communication unit 44 communicates with the communication unit 23 of the control device 20 provided in the vehicle 1. For example, when the occupant A gets into the vehicle 1, the communication unit 44 transmits to the communication unit 23 each correction value corresponding to each parameter of the occupant A recorded in the recording unit 43.

[0036] [Temperature control flow] Next, the flow of temperature adjustment control by the temperature adjustment system 100 will be described with reference to Figures 3 to 5. In this embodiment, temperature adjustment control is performed based on an index value of a person's thermal sensation called PMV (Predicted Mean Vote) estimated in consideration of individual differences among occupant A.

[0037] PMV is an index value of thermal sensation that expresses how occupant A feels about the surrounding temperature environment, based on six factors that affect occupant A's thermal sensation: temperature, humidity, airflow, radiation, amount of clothing, and activity level. PMV values ​​are set, for example, from +4 to -4 (see Figures 7 to 10). +4 indicates "very hot," +3 indicates "hot," +2 indicates "warm," +1 indicates "slightly warm," -4 indicates "very cold," -3 indicates "cold," -2 indicates "cool," -1 indicates "slightly cool," and 0 indicates "neither."

[0038] <Recording of parameter correction values> Next, a method for recording each correction value corresponding to each parameter by the recording device 40 will be described with reference to Fig. 3. Fig. 3 is a flowchart showing an example of the flow of a method for recording correction values ​​used in temperature adjustment control by the temperature adjustment system 100.

[0039] 3, first, the recording device 40 measures the skin temperature and heart rate of each part of the occupant A using the sensor unit 41 (S1: measurement step). In S1, the sensor unit 41 measures the skin temperature and heart rate of each part of the occupant A in daily life.

[0040] In addition, in S1, the PMV value, which is the reported value of the thermal sensation of occupant A, is measured. For example, if the sensor unit 41 detects an action that is judged to indicate that occupant A feels hot, such as fanning oneself with one's hand, or if the set temperature of the air conditioner is lowered, the PMV value is set to +3. If the sensor unit 41 detects an action that is judged to indicate that occupant A feels cold, such as rubbing one's body, or if the set temperature of the air conditioner is higher, the PMV value is set to -3.

[0041] Alternatively, the PMV value may be measured by obtaining a PMV value based on a self-report by occupant A using a microphone, an audio device, etc. In this way, it is possible to measure the reported value of the thermal sensation of occupant A.

[0042] After S1, the recording device 40 records each measurement value measured in S1 in the recording unit 43 (S2: recording step). Also, in S2, the PMV value is recorded in the recording unit 43 together with the skin temperature and heart rate of each part of the occupant A.

[0043] Next, the calculation unit 42 calculates each correction value based on each measurement value recorded in the recording unit 43 in S2 (S3: correction value calculation step). In S3, the calculation unit 42 calculates each correction value based on the average value or mode of the multiple measurement values ​​recorded in the recording unit 43 and the PMV value so that an estimated value y of a thermal sensation, which will be described later, becomes 0.

[0044] After S3, the recording device 40 stores each correction value calculated by the calculation unit 42 in the recording unit 43 (S4: storage step). In S4, each correction value stored in the recording unit 43 is transmitted to the control device 20 of the vehicle 1 via the communication unit 44 after the occupant A gets into the vehicle 1.

[0045] <Temperature control flow> In the following, it is assumed that the temperature adjustment device 50 performs temperature adjustment control on an occupant A seated in a seat 60 of the vehicle 1. Fig. 4 is a flowchart showing an example of the flow of temperature adjustment control by the temperature adjustment system 100. In the flowchart shown in Fig. 4, first, an identification process is performed by the infrared camera 11 to identify the occupant A (S11: identification step).

[0046] In S11, if the infrared camera 11 has succeeded in identifying the occupant A, the control device 20 executes a process for obtaining correction values ​​for the skin temperatures of each part of the occupant A (S12: correction value obtaining step).

[0047] Fig. 5 is a flowchart showing the process of obtaining the skin temperature correction value S12 in Fig. 4. In the flowchart shown in Fig. 5, the control device 20 determines whether or not the correction values ​​for the skin temperature of each part of the occupant A are stored in the recording unit 43 of the recording device 40 (S31).

[0048] If the correction values ​​for the skin temperature of each part of occupant A are not stored in the recording unit 43 (S31: NO), the control unit 20 determines whether the measured values ​​for the skin temperature of each part of occupant A are stored in the recording unit 43 (S32).

[0049] When the measured values ​​of the skin temperature of each part of occupant A are stored in recording unit 43 (S32: YES), control device 20 causes processing unit 21 to calculate a correction value for the skin temperature of each part based on the measured values ​​of the skin temperature of each part of occupant A (S33). Specifically, in S43, processing unit 21 calculates the average value or the most frequent value of the measured values ​​of the skin temperature of each part to obtain the correction value for the skin temperature of each part.

[0050] On the other hand, if the measured values ​​of the skin temperature of each part of occupant A are not stored in the recording unit 43 (S32: NO), the control device 20 determines whether or not measurements of the skin temperature of each part of occupant A have been performed (S34).

[0051] When the skin temperature of each part of occupant A is measured (S34: YES), the control device 20 calculates a correction value for the skin temperature of each part based on the measured values ​​of the skin temperature of each part of occupant A using the processing unit 21, in the same manner as in S33 (S45).

[0052] If the correction values ​​for the skin temperature of each part of occupant A are stored in the recording unit 43 (S31: YES), and after S33 or S35, the control unit 20 stores the correction values ​​for the skin temperature of each part of occupant A in the memory unit 30 (S36).

[0053] On the other hand, if the skin temperature of each part of occupant A has not been measured (S34: NO), the control device 20 determines that there are no measured values ​​of the skin temperature of each part of occupant A (S37). Note that if there are no measured values ​​of the skin temperature of each part, predetermined standard initial values ​​are used as the correction values ​​corresponding to the skin temperature of each part. After S36 or S37, the control device 20 ends the skin temperature correction value acquisition process S12 in FIG. 4.

[0054] Returning to Fig. 4, after S12, the control device 20 executes a process for obtaining a correction value for the heart rate of occupant A (S13: correction value obtaining step). Here, Fig. 6 is a flowchart showing the flow of the process S13 for obtaining a correction value for the heart rate of Fig. 4. In the flowchart shown in Fig. 6, first, the control device 20 determines whether or not a correction value for the heart rate of occupant A is stored in the recording unit 43 (S41).

[0055] If the corrected values ​​of the heart rate of each part of occupant A are not stored in the recording unit 43 (S41: NO), the control unit 20 determines whether the measured values ​​of occupant A's heart rate are stored in the recording unit 43 (S42).

[0056] When the measured value of the heart rate of occupant A is stored in the recording unit 43 (S42: YES), the control device 20 causes the processing unit 21 to calculate a correction value for the heart rate based on the measured value of the heart rate of occupant A (S43). Specifically, in S43, the processing unit 21 calculates the average value or the mode value of the measured heart rate values ​​to obtain the correction value for the heart rate.

[0057] On the other hand, if the measured value of the heart rate of occupant A has not been stored in the recording unit 43 (S42: NO), the control device 20 determines whether or not the heart rate of occupant A has been measured (S44).

[0058] If the heart rate of occupant A is measured (S44: YES), the control device 20 calculates a correction value for the heart rate based on the measured heart rate value of occupant A using the processing unit 21, in the same manner as in S43 (S45).

[0059] In S41, if the corrected value of occupant A's heart rate is stored in the recording unit 43 (S41: YES), and after S43 or S45, the control unit 20 stores the corrected value of occupant A's heart rate in the memory unit 30 (S46).

[0060] On the other hand, if the heart rate of occupant A has not been measured (S44: NO), the control device 20 determines that there is no measurement value of the heart rate of occupant A (S47). If there is no measurement value of the heart rate, a predetermined standard initial value is used as the correction value corresponding to the measurement value of the heart rate. After S46 or S47, the control device 20 ends the process S13 of obtaining the correction value of the skin temperature heart rate in FIG. 6.

[0061] Returning to Fig. 4, after S13, the control device 20 executes a detection process in which the sensor device 10 detects the skin temperatures of various parts of the body and the heart rate of the occupant A (S14: detection step). Specifically, in S14, the infrared camera 11 detects the skin temperatures of the cheeks, nose, and hands of the occupant A, and the heart rate sensor 12 detects the heart rate of the occupant A. These skin temperatures of the cheeks, nose, and hands and the heart rate of the occupant A are parameters in a relational expression (1) for calculating an estimated value y of the thermal sensation, which will be described later.

[0062] After S14, the control device 20 determines whether or not the acquisition unit 22 has been able to acquire the detected values ​​32 of the skin temperature and heart rate of each part of the occupant A from the sensor device 10 (S15). If the acquisition unit 22 has been able to acquire the detected values ​​32 of the skin temperature and heart rate of each part of the occupant A (S15: YES), the control device 20 causes the processing unit 21 to store the detected values ​​32 of the skin temperature and heart rate of each part of the occupant A in the memory unit 30 (S16).

[0063] On the other hand, if the acquisition unit 22 fails to acquire the detected values ​​32 of the skin temperature and heart rate of each part of the occupant A (S15: NO), or after S16, the processing unit 21 proceeds to S17.

[0064] In S17, the control device 20 determines whether or not there has been a change in the settings of the temperature adjustment device 50 (S17). If there has been a change in the settings of the temperature adjustment device 50 (S17: YES), the control device 20 executes a set value change process to change each set temperature of the temperature adjustment device 50 (S18).

[0065] On the other hand, if the processing unit 21 of the control device 20 does not change the settings of the temperature control device 50 (S17: NO), or after S18, the processing unit 21 executes a correction process (S19) to correct the detection value 32 detected in S14 with each correction value corresponding to each detection value, i.e., the detection values ​​of the skin temperature of the cheeks, nose, and hands of occupant A, and the heart rate.

[0066] Specifically, in S19, by correcting the detected values ​​of the skin temperature of occupant A's cheeks, nose, hands, and heart rate using the respective correction values, it becomes possible to calculate an estimated value y of thermal sensation that takes into account individual differences among occupant A, as shown in Figures 7 to 9.

[0067] 7 to 9 are graphs showing the results of individual correction of the cheek, nose, and hand skin temperatures of occupant A performed by the temperature adjustment system 100. Note that, as a reference example, FIGS. 7 to 9 also show the results of individual correction of occupants B, C, and D. In FIGS. 7 to 9, the upper graphs are graphs showing the relationship between the cheek, nose, and hand skin temperatures and the estimated value y of thermal sensation before correction, and the lower graphs are graphs showing the relationship between the cheek, nose, and hand skin temperatures and the estimated value y of thermal sensation after individual correction.

[0068] After S19, the control device 20 executes a thermal sensation calculation process (S20: thermal sensation calculation step). In S20, the processing unit 21 calculates an estimated value y of the thermal sensation by the following relational expression (1).

[0069] y=A0+A1(T1-T i1 )+A2(T2-T i2 )+A3(T3-T i3 )+A4(HR4-HR i4 )···(1)

[0070] where y is the estimated value of thermal sensation, A0 to A4 are predetermined coefficients, T1 is the cheek skin temperature, T2 is the nose skin temperature, T3 is the hand skin temperature, HR4 is the heart rate, T i1 ~T i3 is the correction value corresponding to T1 to T3, HR i4 represents the correction value corresponding to HR4. The coefficients A0 to A4 are constants derived by multiple regression analysis. The correction value T i1~T i3 is acquired in S12. Correction value HR i4 is obtained in S13.

[0071] The processing unit 21 calculates the cheek skin temperature T1, nose skin temperature T2, hand skin temperature T3, and heart rate HR4 detected by the sensor device 10, and calculates the correction values ​​T i1 ~T i3 , HR4 to calculate the estimated value y of thermal sensation.

[0072] Fig. 10 is a graph showing the relationship between the thermal sensation declared value (PMV value) and the estimated value y of thermal sensation, which takes into account the individually corrected cheek, nose, and hand skin temperatures of occupant A, occupant B, occupant C, and occupant D, as well as the individually corrected heart rates of occupant A, occupant B, occupant C, and D, as well as the estimated value y of thermal sensation. As shown in Fig. 10, according to the temperature adjustment system 100 of this embodiment, by calculating the estimated value y of thermal sensation after individually correcting the four parameters of cheek skin temperature T1, nose skin temperature T2, hand skin temperature T3, and heart rate HR4, the calculated estimated value y of thermal sensation can match the thermal sensation declared value with a high accuracy of 82.1%.

[0073] After S19, the processing unit 21 executes a temperature adjustment control process to control the temperature adjustment device 50 so that the estimated value y of the thermal sensation calculated in the thermal sensation calculation process S20 approaches 0 (S21: temperature adjustment control step).

[0074] In S21, the processing unit 21 outputs control signals to the air conditioning control unit 24 and the seat control unit 25 so that the estimated value y of thermal sensation calculated in S20 approaches the target thermal sensation value. In this embodiment, the target thermal sensation value is set to 0. The air conditioning control unit 24 controls the air conditioner 51 based on the control signal from the processing unit 21. Furthermore, the seat control unit 25 controls the seat temperature adjustment device 52 based on the control signal from the processing unit 21.

[0075] For example, if the estimated value y of the thermal sensation calculated in S20 is −3, the processing unit 21 determines that the occupant A feels “cold,” and outputs a control signal to the air conditioning control unit 24 and the seat control unit 25 to increase the set temperatures of the air conditioner 51 and the seat temperature control unit 52. This increases the temperature of the hot air supplied from the air conditioner 51. Furthermore, the set temperatures of the seatback heater 52a and the seat cushion heater 52c increase, and the temperatures of the hot air supplied from the seatback blower 52b and the seat cushion blower 52d increase.

[0076] After S21, the control device 20 determines whether the temperature adjustment control process S21 has ended (S22). In S22, if the estimated value y of the thermal sensation is within the range of, for example, +0.5 to -0.5, the control device 20 considers that the estimated value y of the thermal sensation has approached 0, and determines that the temperature adjustment control process S21 has ended.

[0077] If the temperature adjustment control process S21 has not ended (S22: NO), the control device 20 returns to S17, and if the temperature adjustment control process S21 has ended (S22: YES), the control device 20 ends the flow shown in Fig. 4. In this way, in this embodiment, it is possible to maintain a comfortable thermal environment for the occupant A.

[0078] According to the temperature regulation system 100 of the present embodiment described above, the detected values ​​detected by the sensor device 10 are the cheek skin temperature T1, nose skin temperature T2, hand skin temperature T3, and heart rate HR4 of the occupant A, and are converted into the respective correction values ​​T i1 , T i2 , T i3 , H.R. i4 By performing individual correction using the above formula, it is possible to calculate the estimated value y of the thermal sensation taking into account individual differences. This allows the temperature adjustment device 50 to perform more appropriate temperature adjustment control, thereby improving the thermal comfort of the occupant A.

[0079] Furthermore, according to the recording device 40 of this embodiment, the cheek skin temperature T1, nose skin temperature T2, hand skin temperature T3, and heart rate HR4 of the occupant A in his / her daily life are measured and stored, thereby obtaining the correction values ​​T i1 , T i2 , T i3 , H.R. i4 can be calculated with high accuracy by the calculation unit 42. This allows for more accurate personal correction of the occupant A.

[0080] Other Embodiments In the above embodiment, the processing unit 21 sets the target thermal sensation value to 0 in S21, but this is not limited to this. For example, the target thermal sensation value may be set to a value other than 0 in the range of +2 to -2. Furthermore, the processing unit 21 may control the temperature adjustment device 50 in S21 so that the estimated value y of the thermal sensation gradually approaches 0. That is, for example, during cooling, the target thermal sensation value may first be set to -1 (slightly cool) and then changed to 0. On the other hand, during heating, the target thermal sensation value may first be set to +1 (slightly warm) and then changed to 0.

[0081] In the above embodiment, the case where temperature control is performed for occupant A seated in the driver's seat has been described, but the present invention is not limited to this. For example, temperature control may be performed separately by the temperature adjustment device 50 for each of occupants A, B, C, and D seated in each of the four seats 60 provided in the vehicle 1, i.e., for each of the four seats 60.

[0082] In this case, the sensor device 10 detects the skin temperatures of the cheeks, noses, and hands and the heart rates of each of occupants A, B, C, and D seated in each of the four seats 60. The control device 20 executes an identification process S11, a detection process S14, a correction process S19, a thermal sensation calculation process S20, and a temperature adjustment control process S21 for each of occupants A, B, C, and D seated in each of the four seats 60. This allows temperature adjustment control to be performed taking into account the individual differences between occupants A, B, C, and D, thereby improving the comfort of all occupants.

[0083] In addition, in the above embodiment, the coefficients A0 to A4 in the relational expression (1) for calculating the estimated value y of the thermal sensation are constants, but the coefficients A0 to A4 may be set for each occupant by recording the measured values ​​of the cheek, nose, and hand skin temperatures and heart rates of each of occupants A, B, C, and D in their daily lives using the recording device 40.

[0084] Furthermore, although the relational expression (1) uses four parameters, the present invention is not limited to this. For example, the number of parameters may be two or three. That is, in the following relational expression (2), n may be 2 or 3.

[0085] y=A0+A1(P1-P i1 )+A2(P2-P i2 )+···+A n (P n -P in )···(2)

[0086] where y is the estimated value of thermal sensation, A0 to A n is the coefficient, P1~P n is a parameter, P i1 ~P in is a correction value corresponding to each parameter, and n is an integer equal to or greater than 2. When there are two parameters, for example, P1 to P2 may be the skin temperatures of occupant A's cheeks and hands, or the skin temperatures of occupant A's cheeks and hands and heart rate. When there are three parameters, for example, P1 to P3 may be the skin temperatures of occupant A's cheeks, nose, and hands, or the skin temperatures of occupant A's cheeks and hands and heart rate.

[0087] In the above embodiment, the four parameters are the skin temperatures of the cheeks, nose, and hands of occupant A, and the heart rate, but are not limited to this. For example, the parameters may be the skin temperatures of the head, abdomen, and legs of occupant A, and blood pressure.

[0088] Furthermore, in the above embodiment, the estimated value y of the thermal sensation is calculated by finding the relational expression (1) through multiple regression analysis, but this is not limiting. Alternatively, the estimated value y of the thermal sensation may be calculated using, for example, a Bayesian optimization technique.

[0089] Furthermore, in the above-described embodiment, the recording device 40 is a portable device such as a smartphone or a wearable device carried by the occupant A, but this is not limiting and the recording device 40 may be a server. In this case, the server records the measurement values ​​measured by the sensor unit 41 on a daily basis. Then, when the occupant A gets in the vehicle, the recorded measurement values ​​are transmitted to the control device 20 via the server. This allows the measurement values ​​of each parameter of the occupant A in their daily lives to be managed by the server.

[0090] Furthermore, the temperature adjustment device 50 has been configured to include the air conditioner 51 and the seat temperature adjustment device 52, but is not limited to this, and may be configured without the seat temperature adjustment device 52, for example.

[0091] [Software implementation example] The functions of the control device 20 and the recording device 40 can be realized by a program that causes a computer to function as the control device 20 and the recording device 40, and a program that causes a computer to function as each control block of the control device 20 and the recording device 40.

[0092] In this case, the control device 20 and the recording device 40 are provided with a computer having at least one processor and at least one memory as hardware for executing the programs. The functions described in each of the above embodiments are realized by executing the programs using this processor and memory.

[0093] The program may be stored non-transitoryly in one or more computer-readable storage media. The storage media may or may not be included in the control device 20 and the recording device 40. In the latter case, the program may be supplied to the control device 20 and the recording device 40 via any wired or wireless transmission medium.

[0094] In addition, some or all of the functions of each of the control blocks can be realized by logic circuits. For example, integrated circuits in which logic circuits that function as each of the control blocks are formed are also included in the scope of the present disclosure. In addition, the functions of each of the control blocks can also be realized by, for example, a quantum computer.

[0095] Furthermore, each process described in each of the above embodiments may be executed by AI (Artificial Intelligence). In this case, the AI ​​may run on the control device or on another device (for example, an edge computer or a cloud server).

[0096] The present disclosure is not limited to the above-described embodiments, and various modifications are possible within the scope of the claims. Embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of the present disclosure. [Explanation of symbols]

[0097] 1 vehicle 10 Sensor device 11. Infrared camera 12 Heart Rate Sensor 20 Control device 21 Processing section 22 Acquisition Department 23 Communications Department 24 Air conditioning control unit 25 Seat control unit 30 Storage section 31 Identification Information 32 Detected value 40 Recording Device 41 Sensor unit 42 Calculation section 43 Recording Section 44 Communications Department 50 Temperature control device 51 Air conditioner 52 Seat temperature control device 60 sheets 100 Temperature Control System

Claims

1. an identification unit that identifies a temperature control target; a sensor device for detecting the skin temperature and heart rate of the body of the temperature control target; A temperature control device that controls the temperature of the temperature control target person; a control device that controls the temperature adjustment device; Equipped with The control device an identification process for identifying the temperature control target person by the identification unit; a detection process in which at least two or more parameters of the skin temperature at two or more locations on the body of the temperature adjustment target identified in the identification process and the heart rate are detected by the sensor device; a correction process for correcting each of the parameters detected in the detection process using a correction value that is set for each of the temperature control subjects and corresponds to each of the parameters; a thermal sensation calculation process for calculating an estimated value of a thermal sensation expressed by a predetermined relational expression using the parameters corrected in the correction process; a temperature adjustment control process for controlling the temperature adjustment device so that the estimated value of the thermal sensation calculated in the thermal sensation calculation process approaches a target thermal sensation value; Run A temperature control system, wherein the correction values ​​are calculated based on measurements of the parameters of the subject of temperature control in daily life.

2. The estimated value of the thermal sensation is A ０ ~A ｎ is the coefficient, P １ ~P ｎ the parameters, P ｉ１ ~P ｉｎ where n is an integer equal to or greater than 2, and y is the estimated value of the thermal sensation. y=A ０ +A １ (P １ -P ｉ１ )+A ２ (P ２ -P ｉ２ )+・・・+A ｎ (P ｎ -P ｉｎ ) is expressed as The temperature regulation system according to claim 1 , wherein the control device controls the temperature regulation device so that the estimated value of the thermal sensation approaches the target thermal sensation value.

3. the sensor device detects the skin temperatures of the cheeks, nose, and hands of the temperature control target; 3. The temperature control system according to claim 2, wherein the parameters include at least two of the skin temperatures of the cheeks, nose, and hands of the subject of temperature control, and the heart rate.

4. 4. The temperature control system according to claim 3, wherein the parameters are four parameters: skin temperatures of the cheeks, nose, and hands of the subject of temperature control, and the heart rate.

5. The temperature control device is disposed in a vehicle and controls the temperature of each of a plurality of seats in the vehicle. the sensor device detects a skin temperature and a heart rate of each of the temperature adjustment targets seated in each of the plurality of seats; The control device The temperature control system according to claim 1, characterized in that the identification process, the detection process, the correction process, the thermal sensation calculation process, and the temperature control process are performed for each of the temperature control subjects seated in each of the plurality of seats.

6. A temperature control method using the temperature control system according to claim 1, an identification step of identifying the temperature control target person by the identification unit; a correction value acquisition step of acquiring each of the correction values ​​set for each of the temperature adjustment target persons identified in the identification process; a detection step of detecting, by the sensor device, at least two or more parameters selected from the skin temperatures at two or more locations on the body of the temperature adjustment target identified in the identification process and a heart rate; a thermal sensation calculation step of correcting the parameters detected by the sensor device in the detection step using the correction values ​​acquired in the correction value acquisition step, and calculating an estimated value of the thermal sensation using the corrected parameters; a temperature control step of controlling the temperature control device so that the estimated value of the thermal sensation calculated in the thermal sensation calculation step approaches a target thermal sensation value; A temperature control method comprising:

7. 2. A recording device for recording each correction value corresponding to each parameter according to claim 1, a sensor device for measuring each of the parameters in the daily life of the temperature control target person; a recording unit that records the measured values ​​of the parameters measured by the sensor device; a calculation unit that calculates each of the correction values ​​based on the measurement values ​​recorded in the recording unit; a communication unit that transmits the correction values ​​calculated by the calculation unit to the control device; A recording device comprising:

8. A recording method using the recording apparatus according to claim 7, a measuring step of measuring each of the parameters in the daily life of the temperature control target person; a recording step of recording the measured values ​​of the parameters measured in the measuring step in the recording unit; a correction value calculation step of calculating the correction values ​​by the calculation unit based on the measurement values ​​of the parameters recorded in the recording unit in the recording step; a storing step of storing, in the recording unit, each of the correction values ​​calculated by the calculation unit in the correction value calculation step; A recording method comprising:

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