Heat stroke onset risk determination system, heat stroke onset risk determination program, and heat stroke onset risk determination device

Abstract

To provide a heatstroke onset risk determination system, a heatstroke onset risk determination program, and a heatstroke onset risk determination device with higher reliability as compared to a conventional heatstroke onset risk determination method.SOLUTION: A heatstroke onset risk determination system includes a biological information acquisition unit for acquiring biological information on a target person; a heatstroke onset risk determination unit for determining a heatstroke onset risk of the target person on the basis of the biological information, and an alarm notification unit for notifying the target person of a high risk of the heatstroke onset. The heatstroke onset risk determination unit calculates a first duration time that the biological information continuously exceeds a threshold of the biological information on the basis of the biological information and the threshold of the biological information, and determines that the heatstroke onset risk of the target person is high when the first duration time exceeds the threshold of the first duration time, and a WBGT for the target person exceeds the WBGT threshold continuously for a predetermined time.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a heatstroke onset risk determination system, a heatstroke onset risk determination program, and a heatstroke onset risk determination device for determining the risk of heatstroke onset.

Background Art

[0002] In recent years, due to the influence of global warming, the average temperature has risen significantly, and the number of hot days, midsummer days, and extremely hot days has increased. Therefore, the risk of heatstroke has increased compared to the past.

[0003] Heatstroke is an adaptation disorder of the human body that occurs in a hot and humid environment. In the initial stage of heatstroke, symptoms such as muscle cramps and dizziness occur. As heatstroke progresses, symptoms such as headache, strong fatigue, vomiting, and diarrhea occur. As heatstroke further progresses, symptoms such as high fever, loss of consciousness, and internal organ dysfunction occur. Thus, heatstroke is a dangerous symptom that can lead to death. Therefore, it is important to prevent the onset of heatstroke by issuing a warning using a device or the like when the risk of heatstroke onset increases.

[0004] As a system for managing the risk of heatstroke onset, Patent Document 1 proposes a heatstroke onset risk management system including a biological information acquisition unit that is worn on the body of an operator to acquire the biological information of the operator, a heatstroke onset risk determination unit that determines the heatstroke onset risk of the operator based on the acquired biological information, and a warning notification unit that notifies the operator to that effect when the heatstroke onset risk is high.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0006] According to the heat stroke risk management system proposed in Patent Document 1, in the heat stroke risk determination unit, a threshold value for determining whether the heat stroke risk has increased is generated from the biological information (resting data) obtained when the operator is at rest, and the biological information (working data) obtained while the operator is engaged in work is compared with the threshold value to determine the heat stroke risk of the operator.

[0007] However, in this determination system, even if the numerical value of the working data instantaneously exceeds the threshold value, it is determined that "the heat stroke risk is high". Therefore, even if the numerical value of the working data temporarily increases due to a malfunction of the system or an instantaneous movement of the operator, the operator will be notified that "the heat stroke risk is high", which may cause confusion to the operator.

[0008] In view of the above points, the present application aims to provide a heat stroke risk determination system, a heat stroke risk determination program, and a heat stroke risk determination device with higher reliability compared to the conventional heat stroke risk determination method.

Means for Solving the Problems

[0009] The following configurations are means for solving the above problems respectively.

[0010] <Configuration 1> A biological information acquisition unit that acquires the biological information of the target person, a heat stroke risk determination unit that determines the heat stroke risk of the target person based on the biological information, and a warning notification unit that notifies the target person that the heat stroke risk is high. The heat stroke risk determination unit calculates a first continuous time during which the biological information continuously exceeds the biological information threshold value based on the biological information and the biological information threshold value, and determines that the heat stroke risk of the target person is high when the first continuous time exceeds the first continuous time threshold value and the WBGT for the target person continuously exceeds the WBGT threshold value for a predetermined time. A heat stroke risk determination system characterized by this.

[0011] <Configuration 2> The heat stroke onset risk determination unit determines a first reference time which is the time when the biological information exceeds the biological information threshold value, and the predetermined time is between the first reference time and the first duration threshold value. The heat stroke onset risk determination system according to Configuration 1.

[0012] <Configuration 3> The heat stroke onset risk determination system further includes a temperature information acquisition unit that acquires temperature data, a humidity information acquisition unit that acquires humidity data, and a WBGT calculation unit that calculates the WBGT for the subject based on the temperature data acquired by the temperature information acquisition unit and the humidity data acquired by the humidity information acquisition unit. The heat stroke onset risk determination system according to Configuration 1 or 2.

[0013] <Configuration 4> The heat stroke onset risk determination system further includes a plurality of the temperature information acquisition units, a plurality of the humidity information acquisition units, and a position information acquisition unit that acquires the current position of the subject. The WBGT calculation unit selects temperature data and humidity data used for the calculation of WBGT from the plurality of temperature data acquired by the plurality of temperature information acquisition units and the plurality of humidity data acquired by the plurality of humidity information acquisition units based on the current position of the subject acquired by the position information acquisition unit. The heat stroke onset risk determination system according to Configuration 3.

[0014] <Configuration 5> The heat stroke onset risk determination system further includes a biological information threshold value calculation unit that calculates the biological information threshold value. The biological information threshold value calculation unit creates a biological information distribution from the biological information, and when the total probability density in the biological information distribution is 100%, calculates the boundary value between the upper X% and the lower (100 - X)% in the biological information distribution as the biological information threshold value. The heat stroke onset risk determination system according to any one of Configurations 1 to 4.

[0015] <Configuration 6> The heat stroke onset risk determination unit calculates a second continuous time during which the biological information continuously exceeds the recovery threshold value based on the biological information and the recovery threshold value, and when the second continuous time exceeds a second continuous time threshold value, it determines that the heat stroke onset risk of the subject has sufficiently decreased. The warning notification unit stops notifying the subject that the heat stroke onset risk is high. The heat stroke onset risk determination system according to any one of Configurations 1 to 5, characterized in that.

[0016] <Configuration 7> The biological information is a pulse rate. The heat stroke onset risk determination system according to any one of Configurations 1 to 6, characterized in that.

[0017] <Configuration 8> A biological information acquisition unit that acquires the biological information of a subject, a heat stroke onset risk determination unit that determines the heat stroke onset risk of the subject based on the biological information, and a warning notification unit that notifies the subject that the heat stroke onset risk is high. The heat stroke onset risk determination unit calculates a first continuous time during which the biological information continuously exceeds the biological information threshold value based on the biological information and the biological information threshold value, and when the first continuous time exceeds a first continuous time threshold value and the WBGT for the subject continuously exceeds the WBGT threshold value for a predetermined time, it determines that the heat stroke onset risk of the subject is high. A heat stroke onset risk determination device, characterized in that.

[0018] <Configuration 9> Causes a computer to execute a heat stroke onset risk determination means for determining the heat stroke onset risk of a subject based on the biological information of the subject acquired by the biological information acquisition means, and a warning notification means for notifying the subject that the heat stroke onset risk is high. The heat stroke onset risk determination means calculates a first continuous time during which the biological information continuously exceeds the biological information threshold value based on the biological information and the biological information threshold value, and when the first continuous time exceeds a first continuous time threshold value and the WBGT for the subject continuously exceeds the WBGT threshold value for a predetermined time, it determines that the heat stroke onset risk of the subject is high. A heat stroke onset risk determination program, characterized in that.

Advantages of the Invention

[0019] According to each of the above configurations, even when the numerical value of the on - work data temporarily increases (or decreases) due to a malfunction of the system or an instantaneous operation of the operator, etc., it is possible to reduce the possibility of making an incorrect determination regarding the risk of heat stroke, and a determination with higher reliability than the conventional heat stroke risk determination method can be performed.

Brief Description of the Drawings

[0020]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Mode for Carrying Out the Invention

[0021] Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[0022] [Heat Stroke Onset Risk Judgment System] FIG. 1 is an image diagram showing a schematic configuration of a heat stroke onset risk judgment system according to the present embodiment. FIG. 2 is a block diagram showing a functional configuration of the heat stroke onset risk judgment system according to the present embodiment. In FIGS. 1 and 2, as an example, a heat stroke onset risk judgment system for judging the heat stroke onset risk of an operator working in a factory is shown.

[0023] (Regarding the wearable device 30) Referring to FIG. 1, an operator 20 working in a factory 10 is wearing a wearable device 30. Referring to FIG. 2, the wearable device 30 includes a biological information acquisition unit 31, a position information acquisition unit 32, a communication unit 33, and a warning notification unit 34.

[0024] The biological information acquisition unit 31 acquires the biological information of the operator 20. Here, the “biological information” is information related to the biological phenomena of the operator, and is a term including the pulse rate, body temperature, sweating amount, and the like.

[0025] The position information acquisition unit 32 acquires the current position of the operator 20. As the position information acquisition unit 32, generally, those using GPS (Global Positioning System), BLE (Bluetooth Low Energy, Bluetooth is a registered trademark), infrared rays, or visible light are used, but it is not limited thereto, and those using various position detection methods can be adopted.

[0026] The communication unit 33 connects the wearable device 30 to a cloud server 60 described later via the Internet 50, and transmits the biometric information data of the worker 20 detected by the biometric information acquisition unit 31 and the position data of the worker 20 detected by the position information acquisition unit 32 to the cloud server 60. As a connection method to the Internet 50, a wireless LAN or the like is used, but it is not limited to this, and various connection methods can be used.

[0027] When the heat stroke onset risk determination unit 64 (described later) of the cloud server 60 determines that "the heat stroke onset risk of the worker is increasing", the warning notification unit 34 notifies the worker 20 that the heat stroke onset risk is increasing. Further, when the heat stroke onset risk determination unit 64 (described later) determines that "the heat stroke onset risk of the worker has sufficiently decreased", the warning notification unit 34 stops the notification to the worker 20. The timing of starting / stopping the notification will be described later.

[0028] By giving a warning notification, the worker 20 can be made aware that his / her heat stroke onset risk is increasing, and can be prompted to stop working and take a rest. As a result, the heat stroke risk of the worker 20 can be reduced. Also, by stopping the warning notification, the worker 20 can be made aware that his / her heat stroke onset risk has sufficiently decreased, and can be prompted to end the rest and resume work.

[0029] As a notification means performed by the warning notification unit 34, for example, a method of notifying the worker 20 by changing the display of a liquid crystal provided on the surface of the wearable device 30 and vibrating the wearable device 30 is adopted, but it is not limited to this. For example, a lamp provided on the wearable device 30 may be lit to notify the worker 20. Also, the worker 20 may be notified through sound or voice, such as voice from a speaker (not shown) provided in the warning notification unit 34 or an alarm sound from a piezoelectric buzzer (not shown).

[0030] (Regarding the temperature and humidity measurement device 40) Referring to FIG. 1, a plurality of temperature and humidity measurement devices 40 are provided in the factory 10. Referring to FIG. 2, the temperature and humidity measurement device 40 includes a temperature information acquisition unit 41, a humidity information acquisition unit 42, and a communication unit 43. Note that the temperature information acquisition unit 41 and the humidity information acquisition unit 42 can be housed in one housing as a temperature and humidity information acquisition unit.

[0031] The temperature information acquisition unit 41 acquires (measures) the temperature data around the temperature and humidity measurement device 40 including the temperature information acquisition unit 41. Various temperature sensors can be used as the temperature information acquisition unit 41.

[0032] The humidity information acquisition unit 42 acquires (measures) the humidity data around the temperature and humidity measurement device 40 including the humidity information acquisition unit 42. Various humidity sensors can be used as the humidity information acquisition unit 42.

[0033] The communication unit 43 connects the temperature and humidity measurement device 40 to a cloud server 60 described later via the Internet 50, and transmits the temperature data measured by the temperature information acquisition unit 41 and the humidity data measured by the humidity information acquisition unit 42 to the cloud server 60. Since the connection method with the Internet 50 is the same as the method described in the communication unit 33, the description is omitted.

[0034] (Regarding the cloud server 60) Referring to FIG. 1, a cloud server 60 is provided on the Internet 50. The cloud server 60 is connected to the wearable device 30 and the temperature and humidity measurement device 40 via the Internet 50. Referring to FIG. 2, the cloud server 60 includes a data reception unit 61, a WBGT calculation unit 62, a biological information threshold calculation unit 63, a heat stroke onset risk determination unit 64, a signal generation unit 65, a storage unit 66, and a data transmission unit 67.

[0035] The data receiving unit 61 receives biometric information data and position data sent from the communication unit 33 of each wearable device 30, and temperature data and humidity data sent from the communication unit 43 of each temperature and humidity measurement device 40 via the Internet 50.

[0036] The WBGT calculation unit 62 calculates the WBGT for each worker 20 based on the temperature data and humidity data received by the data receiving unit 61. "WBGT" is an abbreviation for "Wet-Bulb Globe Temperature" which means wet bulb globe temperature, and is also called the "heat index". As a calculation method, for example, a correspondence relationship between temperature data and humidity data and WBGT can be obtained in advance, and a method of calculating the WBGT corresponding to the temperature data and humidity data of the temperature and humidity measurement device 40 based on the correspondence relationship can be adopted. However, the calculation method of WBGT is not limited to this.

[0037] The WBGT calculation unit 62 selects, for each worker 20, the temperature data and humidity data used for WBGT calculation from among the plurality of temperature data and humidity data received by the data reception unit 61. This selection method will be described below with reference to FIG. 3. FIG. 3 is an example of a floor plan of a factory where a worker performs work. As described above, a plurality of temperature and humidity measurement devices 40a, 40b, 40c, and 40d are provided in the factory 10. For example, when calculating the WBGT for the worker 20a, the WBGT calculation unit 62 calculates the distance from the worker 20a to each of the temperature and humidity measurement devices 40a, 40b, 40c, and 40d based on the position data of the wearable device 30 worn by the worker 20a and the position data of each of the temperature and humidity measurement devices 40a, 40b, 40c, and 40d defined in advance. Based on this calculation result, the WBGT calculation unit 62 determines that "among the temperature and humidity measurement devices 40 provided in the factory 10, the temperature and humidity measurement device 40c is located closest to the worker 20a", and calculates the WBGT using the temperature data and humidity data of the temperature and humidity measurement device 40c. In this way, the WBGT calculation unit 62 selects the temperature data and humidity data used for WBGT calculation based on the position data of the wearable device 30 of each worker 20 and the position data of each temperature and humidity measurement device 40.

[0038] Here, the selection method for the temperature data and humidity data used in the WBGT calculation is not limited to the method of calculating the distance from the worker 20 to each temperature and humidity measurement device 40. As shown in FIG. 3, the floor plan of the factory 10 is divided by an appropriate area S (the dashed line shown in FIG. 3), the boundary data indicating the boundaries of each area S1 to S4 is defined in advance, and the temperature data and humidity data of the temperature and humidity measurement device 40 corresponding to the area S where the worker 20 is located may be used for the WBGT calculation. For example, when calculating the WBGT for the worker 20a, the WBGT calculation unit 62 determines that "the worker 20a is located within the area S3" based on the position data of the wearable device 30 worn by the worker 20a and the boundary data of each area S1 to S4 defined in advance, and calculates the WBGT using the temperature data and humidity data of the temperature and humidity measurement device 40c, which is the temperature and humidity measurement device corresponding to the area S3. In this case, it is not necessary to calculate the distances from the worker 20a to each of the temperature and humidity measurement devices 40a, 40b, 40c, and 40d respectively, and it is only necessary to determine the area where the worker 20a is located, so the selection of the temperature data and humidity data used in the WBGT calculation becomes simpler.

[0039] Also, in the above-described selection method of the temperature data and humidity data, the position data of each temperature and humidity measurement device 40a, 40b, 40c, and 40d is defined in advance on the assumption that each temperature and humidity measurement device 40 is fixed, but it is not limited to this. That is, a separate position information acquisition unit may also be provided in the temperature and humidity measurement device 40 (not shown), and the temperature data and humidity data used in the WBGT calculation may be selected based on the position data of the wearable device 30 of each worker 20 and the position data of each temperature and humidity measurement device 40.

[0040] The biological information threshold calculation unit 63 calculates the biological information threshold of the worker 20 based on the biological information data of the worker 20 sent from the wearable device 30. The method of calculating the biological information threshold will be described later.

[0041] The heat stroke onset risk determination unit 64 determines whether the risk of the operator 20 developing heat stroke is increasing, based on the WBGT calculated by the WBGT calculation unit 62, the biometric information data of the wearable device 30, the biometric information threshold calculated by the biometric information threshold calculation unit 63, and the WBGT threshold and the first duration threshold pre-stored in the storage unit 66 (described later). Further, when the heat stroke onset risk determination unit 64 determines in the above determination that "the risk of the operator developing heat stroke is increasing", the heat stroke onset risk determination unit 64 determines whether the risk of the operator 20 developing heat stroke has sufficiently decreased, based on the biometric information data of the wearable device 30 continuously received thereafter and the recovery threshold and the second duration threshold pre-stored in the storage unit 66 (described later). The method for determining the heat stroke onset risk will be described later.

[0042] When the heat stroke onset risk determination unit 64 determines that "the risk of the operator developing heat stroke is increasing", the signal generation unit 65 generates a warning signal that serves as a trigger signal for warning notification in the wearable device 30 (warning notification unit 34). Further, when the heat stroke onset risk determination unit 64 determines that "the risk of the operator developing heat stroke has sufficiently decreased", the signal generation unit 65 generates a warning stop signal that serves as a trigger signal for stopping the warning notification in the wearable device 30 (warning notification unit 34).

[0043] The storage unit 66 stores the temperature data and humidity data of each temperature and humidity measurement device 40 received by the data reception unit 61. Further, the storage unit 66 stores, for each operator 20, the biometric information data and position data of each wearable device 30 received by the data reception unit 61, the WBGT calculated by the WBGT calculation unit 62, the biometric information threshold calculated by the biometric information threshold calculation unit 63, and the determination result by the heat stroke onset risk determination unit 64. The storage unit 66 pre-stores the WBGT threshold, the recovery threshold, the first duration threshold, and the second duration threshold used by the heat stroke onset risk determination unit 64.

[0044] The data transmission unit 67 transmits the warning signal generated by the signal generation unit 65 to the communication unit 33 of the wearable device 30 via the Internet 50. Further, the data transmission unit 67 transmits, via the Internet 50, the biological information data of each worker 20 and the determination result by the heat stroke onset risk determination unit 64 stored in the storage unit 66 to a supervisor terminal 70 (described later).

[0045] (Regarding the supervisor terminal 70) Referring to FIG. 1, the data of the cloud server 60 (the biological information data of each worker 20 and the determination result by the heat stroke onset risk determination unit 64) is sent to the supervisor terminal 70 possessed by the supervisor via the Internet 50. Referring to FIG. 2, the supervisor terminal 70 includes a communication unit 71 and an information management unit 72.

[0046] The communication unit 71 connects the supervisor terminal 70 to the cloud server 60 via the Internet 50. Thereby, the supervisor terminal 70 receives the biological information data of the worker 20 and the determination result by the heat stroke onset risk determination unit 64 from the cloud server 60. Since the connection method to the Internet 50 is the same as the method described in the communication unit 33, the description thereof is omitted.

[0047] The information management department 72 manages the status of each worker 20 within the factory 10. Specifically, based on the biometric information data of the worker 20 received from the cloud server 60 and the determination result by the heat stroke onset risk determination unit 64, the information management department 72 creates list display data regarding the biometric information of each worker 20 and the level of heat stroke onset risk, and displays it on the monitor of the supervisor terminal 70. Thereby, a supervisor (not shown) can confirm the level of heat stroke onset risk of each worker 20 and whether each worker 20 is taking appropriate breaks. For example, when the supervisor discovers a worker 20 whose biometric information shows no change despite being determined to be "at high risk of heat stroke onset", the supervisor can judge that "no measures against heat stroke are being taken" and issue a warning to the worker 20. As a method of issuing such a warning, for example, a method of contacting a mobile terminal (not shown) such as a smartphone, mobile phone, or tablet device held by the worker 20 and directly warning the worker can be adopted. Also, as another method of issuing a warning, for example, a separate signal generation unit (not shown) can be provided in the supervisor terminal 70, the communication unit 33 of the wearable device 30 and the communication unit 71 of the supervisor terminal 70 can be connected, and a warning signal can be transmitted from the supervisor terminal 70 to the wearable device 30.

[0048] (Method for calculating the biometric information threshold value in the biometric information threshold value calculation unit 63) Biometric information varies from person to person depending on factors such as gender and age. Also, even when focusing on an individual, the biometric information varies greatly from day to day and hour to hour depending on the degree of heat acclimatization and physical condition. Therefore, if the heat stroke onset risk is determined using a fixed value for the biometric information threshold, there is a possibility of errors in the determination result of the heat stroke onset risk for the worker, such as determining a worker with an actually low heat stroke onset risk as "at high risk of heat stroke onset".

[0049] Taking the above points into consideration, in this embodiment, the cloud server 60 calculates an appropriate biometric information threshold value according to the biometric information of each worker 20 by the biometric information threshold value calculation unit 63. Regarding the method for calculating the biometric information threshold value in the biometric information threshold value calculation unit 63, using the pulse rate as the biometric information, it will be described with reference to FIG. 4. FIG. 4 shows an example of the pulse rate distribution of a certain worker. The horizontal axis represents the pulse rate (pulses), and the vertical axis represents the probability density of the pulse rate. The graphs A and B shown in FIG. 4 are the pulse rate distributions measured at different times, and it is assumed that they are created in the order of graph A → graph B.

[0050] Referring to FIG. 4, the biometric information threshold value calculation unit 63 reads out the pulse rate of the worker 20 stored in the storage unit 66 every predetermined time, creates the latest pulse rate distribution, and calculates the boundary value between the upper X% and the lower (100 - X)% of this pulse rate distribution as the biometric information threshold value. Specifically, the biometric information threshold value calculation unit 63 reads out the pulse rate from the storage unit 66 and creates a pulse rate distribution (graph A), and calculates the boundary value D1 between the upper X% and the lower (100 - X)% in graph A when the total probability density is 100% as the pulse rate threshold value (biometric information threshold value). The storage unit 66 stores D1 as the pulse rate threshold value (biometric information threshold value). When a predetermined time has elapsed since the reading of the pulse rate when creating graph A, the biometric information threshold value calculation unit 63 newly reads out the pulse rate from the storage unit 66 and creates a pulse rate distribution (graph B), and calculates the boundary value D2 between the upper X% and the lower (100 - X)% in graph B as the new pulse rate threshold value (biometric information threshold value). The storage unit 66 newly stores D2 as the pulse rate threshold value (biometric information threshold value).

[0051] Note that any numerical value can be used for "X", but in the case of the pulse rate threshold, it is preferably 0.5 ≤ X ≤ 5. When X < 0.5, since the pulse rate threshold becomes excessively high, there is a possibility that "the risk of heat stroke is high" may not be determined even though the actual risk of heat stroke onset is sufficiently high. When X > 5, since the pulse rate threshold becomes excessively low, there is a possibility that "the risk of heat stroke is low" may not be determined even though the actual risk of heat stroke onset is sufficiently low. Therefore, in order to calculate the pulse rate threshold, it is preferably 0.5 ≤ X ≤ 5.

[0052] In this way, based on the latest biological information distribution, by calculating the boundary value between the top X% and the bottom (100 - X)% as the biological information threshold, the biological information threshold can be dynamically set based on the latest biological information, so that a biological information threshold suitable for the current operator can be calculated.

[0053] Note that the method for calculating the biological information threshold is not limited to the above-mentioned method. For example, an average value may be calculated from the biological information of the operator read from the storage unit 66, and the biological information threshold may be calculated using the average value. The average value may be calculated using not only the arithmetic mean but also the weighted mean, moving average, etc. Also, the mode or median may be extracted from the biological information of the operator read from the storage unit to calculate the biological information threshold.

[0054] In addition, machine learning can be used to calculate the biological information threshold. For example, for each operator, the past biological information distribution and information related to heat stroke (e.g., feeling dizzy, vomiting, etc.) can be machine-learned to calculate the biological information threshold. Machine learning can also be used when determining the value of "X" mentioned above.

[0055] (Method for Determining the Risk of Heat Stroke Onset) The method for determining the heat stroke onset risk in the heat stroke onset risk determination unit 64 will be described below with reference to FIG. 5. In the following description, the pulse rate is used as the biological information. FIG. 5 is an example of the temporal changes in the pulse rate of the operator measured by the biological information acquisition unit (pulse sensor) and the WBGT. The horizontal axis represents time, and the vertical axis represents WBGT in the upper graph and the pulse rate (pulse) in the lower graph.

[0056] The heat stroke onset risk determination unit 64 determines whether (1) the pulse rate of the operator continuously exceeds the pulse rate threshold for a certain period of time, and (2) whether the WBGT for the operator continuously exceeds the WBGT threshold for the certain period of time, thereby determining whether the heat stroke onset risk of the operator is increasing. Referring to FIG. 5, the heat stroke onset risk determination unit 64 reads out the pulse rate stored in the storage unit 66 and determines the time point (first reference time) t1 when the pulse rate exceeds the pulse rate threshold D2 (see FIG. 4) stored in the storage unit 66. Then, starting from t1, the first continuous time T1 during which the pulse rate continuously exceeds the pulse rate threshold D2 (see FIG. 4) is calculated. When this first continuous time T1 exceeds the first continuous time threshold Ts1 pre-stored in the storage unit 66 (when exceeding ta in FIG. 5), the WBGT calculated by the WBGT calculation unit 62 and the pre-stored WBGT threshold W are read out from the storage unit 66, and during this first continuous time threshold Ts1 (that is, between t1 and ta), it is determined whether the WBGT continuously exceeds the WBGT threshold W (whether the WBGT does not fall below the WBGT threshold W). If the WBGT continuously exceeds the WBGT threshold W (if the WBGT does not fall below the WBGT threshold W) between t1 and ta, the heat stroke onset risk determination unit 64 determines that "the heat stroke onset risk of the operator is increasing". In FIG. 5, the first continuous time T1 continues from t1 to t2.

[0057] Furthermore, when the heat stroke onset risk determination unit 64 determines that "the heat stroke onset risk of the worker is increasing", it determines whether the heat stroke onset risk of the worker 20 has sufficiently decreased by determining whether the pulse rate of the worker 20 continuously falls below the recovery threshold D0 for a certain period of time. Referring to FIG. 5 again, the heat stroke onset risk determination unit 64 reads out the pulse rate stored in the storage unit 66 and determines the time point (second reference time) t3 when the pulse rate falls below the recovery threshold D0 previously stored in the storage unit 66. Then, starting from t3, a second continuous time T2 during which the pulse rate continuously falls below the recovery threshold D0 is calculated. When this second continuous time T2 exceeds the second continuous time threshold Ts2 previously stored in the storage unit 66 (when exceeding tb in FIG. 5), the heat stroke onset risk determination unit 64 determines that "the heat stroke onset risk of the worker has sufficiently decreased". In FIG. 5, the second continuous time T2 continues from t3 to t4.

[0058] In addition, when determining whether the heat stroke onset risk of the worker has sufficiently decreased, a determination process of "whether the WBGT for the worker continuously falls below the WBGT threshold for a certain period of time" may be added. The "certain period of time" mentioned here corresponds to "during the second continuous time threshold Ts2 (that is, between t3 and tb)" in the above-described embodiment. Also, the "WBGT threshold" mentioned here may be the above-described WBGT threshold W, or alternatively, a new WBGT threshold (WBGT second threshold) may be set and stored in advance in the storage unit 66 separately from the WBGT threshold W.

[0059] In this way, when the heat stroke onset risk determination unit 64 determines "whether the heat stroke onset risk of the worker is increasing" and "whether the heat stroke onset risk of the worker has sufficiently decreased", it does not determine whether the biological information and WBGT instantaneously exceed (or fall below) the threshold, but determines whether the biological information and WBGT continuously exceed (or fall below) the threshold for a certain period of time. Therefore, even when the numerical value of the work data temporarily increases (or decreases) due to a malfunction of the system or an instantaneous movement of the worker, the possibility of making an incorrect determination regarding the heat stroke onset risk can be reduced, and a more reliable determination can be made than the conventional heat stroke onset risk determination method.

[0060] (Method for managing the risk of heat stroke in workers) Next, the processing flow in the heat stroke onset risk management system according to the present embodiment will be described.

[0061] (Flowchart of the wearable device 30) First, the processing in the wearable device 30 in the heat stroke onset risk management system according to the present embodiment will be described with reference to FIG. 6. FIG. 6 is a flowchart for explaining the processing of the wearable device 30 in the heat stroke onset risk management system according to the present embodiment. The wearable device 30 starts processing when the power supply (not shown) is turned on. The power supply of the wearable device 30 can be turned on by the operation of the worker 20 or a timer set for a predetermined time.

[0062] Referring to FIG. 6, the wearable device 30 detects the biological information of the worker 20 by the biological information acquisition unit 31 (S101), and detects the current position of the worker 20 by the position information acquisition unit 32 (S102). The detected biological information data and position data of the worker 20 are transmitted from the communication unit 33 to the cloud server 60 via the Internet 50 (S103). The transmitted biological information data and position data are used in the cloud server 60 (heat stroke onset risk determination unit 64) to determine whether the risk of heat stroke in the worker 20 is increasing. When it is determined in the cloud server 60 (heat stroke onset risk determination unit 64) that "the risk of heat stroke in the worker is increasing", a warning signal is generated by the cloud server 60 (signal generation unit 65) and transmitted to the wearable device 30 via the Internet 50.

[0063] When the wearable device 30 receives a warning signal from the cloud server 60 at the communication unit 33 (S104 Yes), the warning notification unit 34 notifies the worker 20 that the risk of heat stroke is increasing (S105). By issuing a warning notification from the wearable device 30, it is possible to prompt the worker 20 to stop working and take a break, thereby reducing the risk of heat stroke for the worker 20. Since the notification method of the warning notification unit 34 has been described above, the description is omitted. On the other hand, until the wearable device 30 receives a warning signal from the cloud server 60 (a state where no warning signal is received, S104 No), the warning notification unit 34 does not issue a notification, and the biological information and current position of the worker 20 are detected, and the detected biological information data and position data are transmitted to the cloud server 60 (processes S101 to S103) are continuously performed.

[0064] While continuing the warning notification (S105) in the warning notification unit 34, the wearable device 30 again detects the biological information of the worker 20 by the biological information acquisition unit 31 (S106) and detects the current position of the worker 20 by the position information acquisition unit 32 (S107). The detected biological information data and position data of the worker 20 are transmitted from the communication unit 33 to the cloud server 60 via the Internet 50 (S108). The transmitted biological information data and position data are used in the cloud server 60 (heat stroke onset risk determination unit 64) to determine whether the risk of heat stroke for the worker 20 has sufficiently decreased. When the cloud server 60 (heat stroke onset risk determination unit 64) determines that "the risk of heat stroke for the worker has sufficiently decreased", a warning stop signal is generated by the cloud server 60 (signal generation unit 65) and transmitted to the wearable device 30 via the Internet 50.

[0065] When the wearable device 30 receives a warning stop signal from the cloud server 60 (S109 Yes), it stops notifying the operator 20 by the warning notification unit 34 (S110). By stopping the warning notification, it is possible to prompt the operator 20 to finish the break and resume work. On the other hand, until the wearable device 30 receives a warning stop signal from the cloud server 60 (a state where the warning stop signal has not been received, S109 No), the notification by the warning notification unit 34 continues (S105), and the biological information and current position of the operator 20 are detected, and the detected biological information data and position data are transmitted to the cloud server 60 (S106 - 108).

[0066] (Flowchart of the cloud server 60) Next, the processing in the cloud server 60 in the heat stroke onset risk management system according to the present embodiment will be described with reference to FIGS. 7 and 8. FIGS. 7 and 8 are flowcharts for explaining the processing of the cloud server 60 in the heat stroke onset risk management system according to the present embodiment. Note that the cloud server 60 is always in a processing state in the environment of the Internet 50, but here, the flow from the start to the end of the processing as the heat stroke onset risk management system according to the present embodiment will be described. FIG. 7 shows the flow from when the data reception unit 61 receives data to when a warning signal is transmitted to the wearable device 30, and FIG. 8 shows the flow from when a warning signal is transmitted to the wearable device 30 to when a warning stop signal is transmitted to the wearable device 30.

[0067] Referring to FIG. 7, the cloud server 60 receives, by the data reception unit 61, via the Internet 50, the biological information data and position data transmitted from each wearable device 30 (S103 in FIG. 6), and the temperature data and humidity data transmitted from each temperature and humidity measurement device 40 (S201). The cloud server 60 stores each received data in the storage unit 66, and transmits the biological information data of each operator 20 to the supervisor terminal 70 via the Internet 50 (S202).

[0068] Based on the temperature data and humidity data received by the data receiving unit 61, the cloud server 60 calculates the WBGT for each worker 20 by the WBGT calculation unit 62 (S203). When calculating the WBGT, the position data of the worker 20 is also used. However, since the WBGT calculation method has been described above, the description is omitted. The calculated WBGT is stored in the storage unit 66 for each worker 20.

[0069] Based on the biometric information data of each worker 20 received by the data receiving unit 61, the cloud server 60 calculates the biometric information threshold for each worker 20 by the biometric information threshold calculation unit 63 (S204). Since the biometric information threshold calculation method has been described above, the description is omitted. The calculated biometric information threshold is stored in the storage unit 66 for each worker 20.

[0070] The cloud server 60 determines whether the heat stroke onset risk of each worker 20 is increasing by the heat stroke onset risk determination unit 64. The heat stroke onset risk determination unit 64 reads the biometric information and the biometric information threshold of each worker 20 from the storage unit 66, and determines whether the biometric information of each worker 20 exceeds the biometric information threshold (S205). If it is determined that the biometric information of the worker 20 does not exceed the biometric information threshold (S205 No), the data receiving unit 61 continues to receive data (S201), and the processes from S202 to S204 are repeated. On the other hand, if it is determined that the biometric information of the worker 20 exceeds the biometric information threshold (S205 Yes), the heat stroke onset risk determination unit 64 determines the time point (first reference time) t1 when the biometric information of the worker 20 exceeds the biometric information threshold (S206a), and calculates the first continuous time T1 during which the biometric information of the worker 20 continuously exceeds the biometric information threshold starting from t1 (S206b). Then, the heat stroke onset risk determination unit 64 determines whether this first continuous time T1 exceeds the first continuous time threshold Ts1 read from the storage unit 66 (S207).

[0071] If it is determined that the first duration T1 does not exceed the first duration threshold Ts1 (S207 No), the data receiving unit 61 continues to receive data (S201), and the processes of S202 to S206b are repeated. On the other hand, if it is determined that the first duration T1 exceeds the first duration threshold Ts1 (S207 Yes), the heat stroke onset risk determination unit 64 reads the WBGT calculated by the WBGT calculation unit 62 and the previously stored WBGT threshold W from the storage unit 66, and determines whether the WBGT continuously exceeds the WBGT threshold W during the period from the first reference time t1 to the first duration threshold Ts1 (S208).

[0072] If it is determined that the WBGT does not continuously exceed the WBGT threshold W during the first duration threshold Ts1 (S208 No), the data receiving unit 61 continues to receive data (S201), and the processes of S202 to S207 are repeated. On the other hand, if it is determined that the WBGT continuously exceeds the WBGT threshold W during the first duration threshold Ts1 (S208 Yes), it is determined in the heat stroke onset risk determination unit 64 that "the heat stroke onset risk of the worker is increasing", and the cloud server 60 generates a warning signal by the signal generation unit 65 (S209). The generated warning signal is transmitted by the data transmission unit 67 to the communication unit 33 of the wearable device 30 via the Internet 50 (S210), and functions as a trigger signal for warning notification in the wearable device 30 (warning notification unit 34). Also, the determination result that "the heat stroke onset risk of the worker is increasing" in the heat stroke onset risk determination unit 64 is transmitted by the data transmission unit 67 to the supervisor terminal 70.

[0073] The wearable device 30 that has received the warning signal notifies the worker 20 by the warning notification unit 34 that the heat stroke onset risk is increasing, and prompts the worker 20 to stop working and take a break (S105 in FIG. 6).

[0074] After that, referring to FIG. 8, the cloud server 60 receives, again by the data receiving unit 61, biological information data and position data transmitted from each wearable device 30 via the Internet 50, and temperature data and humidity data transmitted from each temperature and humidity measurement device 40 (S211). The cloud server 60 stores each received data in the storage unit 66 and transmits the biological information data of each worker 20 to the supervisor terminal 70 via the Internet 50 (S212).

[0075] The cloud server 60 determines, by the heat stroke onset risk determination unit 64, whether the heat stroke onset risk of each worker 20 has sufficiently decreased. The heat stroke onset risk determination unit 64 reads out the biological information of each worker 20 and the previously stored recovery threshold value D0 from the storage unit 66 and determines whether the biological information of the worker 20 is below the recovery threshold value D0 (S213). If it is determined that the biological information of the worker 20 is not below the recovery threshold value D0 (S213 No), the data receiving unit 61 continues to receive data (S211) and repeats the process of S212. On the other hand, if it is determined that the biological information of the worker 20 is below the recovery threshold value D0 (S213 Yes), the time point (second reference time) t3 when the biological information falls below the recovery threshold value D0 is determined (S214a), and starting from t3, the second continuous time T2 during which the biological information of the worker 20 continuously falls below the recovery threshold value D0 is calculated (S214b). Then, it is determined whether this second continuous time T2 exceeds the second continuous time threshold value Ts2 read out from the storage unit 66 (S215).

[0076] When it is determined that the second duration T2 does not exceed the second duration threshold Ts2 (S215 No), the data receiving unit 61 continues to receive data (S211), and the processes of S212 to 214b are repeated. On the other hand, when it is determined that the second duration T2 exceeds the second duration threshold Ts2 (S215 Yes), the heat stroke onset risk determination unit 64 determines that "the heat stroke onset risk of the operator has sufficiently decreased", and the cloud server 60 generates a warning stop signal by the signal generation unit 65 (S216). The generated warning stop signal is transmitted by the data transmission unit 67 to the communication unit 33 of the wearable device 30 via the Internet 50, and functions as a trigger signal for stopping the warning notification in the wearable device 30 (warning notification unit 34).

[0077] The wearable device 30 that has received the warning stop signal can prompt the operator 20 to resume work by stopping the warning notification to the operator 20 by the warning notification unit 34 (S110 in FIG. 6).

[0078] [Heat Stroke Onset Risk Determination Program] Each function constituting the above-described heat stroke onset risk determination system can be realized by a program. A computer program prepared in advance to realize each function is stored in an auxiliary storage device, and the control unit reads the program stored in the auxiliary storage device into the main storage device and executes the program read into the main storage device, whereby the functions of each unit can be operated. Therefore, an example of a computer that executes a heat stroke onset risk determination program having the same functions as the above-described heat stroke onset risk determination system will be described below with reference to FIG. 9.

[0079] FIG. 9 shows an example of a computer that executes a heat stroke determination program according to the heat stroke onset risk determination system of the present embodiment. As shown in FIG. 9, the computer 1000 includes an operation unit 1100, a speaker 1200, a camera 1300, a display 1400, and a communication unit 1500. Further, the computer 1000 includes a CPU (control unit) 1600, an HDD (auxiliary storage device) 1700, and a RAM (main storage device) 1800. These components are connected via a bus 1900.

[0080] As shown in FIG. 9, a heat stroke onset risk determination program that exhibits the same functions as the respective functional units shown in the above-described embodiment is stored in advance in the HDD 1700. Regarding this heat stroke onset risk determination program, similar to each component of each functional unit shown in FIG. 2, it may be appropriately integrated or separated. That is, it is not always necessary for all data to be stored in the HDD 1700, and only the data necessary for processing needs to be stored in the HDD 1700.

[0081] Then, the CPU 1600 reads the heat stroke onset risk determination program from the HDD 1700 and expands it in the RAM 1800. As a result, as shown in FIG. 9, the heat stroke onset risk determination program functions as a heat stroke onset risk determination process. This heat stroke onset risk determination process appropriately expands various data read from the HDD 1700 in an area allocated to itself on the RAM 1800, and executes various processes based on the expanded various data. Note that the heat stroke onset risk determination process includes the processes executed by the respective functional units shown in FIG. 2, for example, the processes shown in FIGS. 6 to 8. Also, it is not always necessary for all processing units virtually realized on the CPU 1600 to operate on the CPU 1600, and only the processing units necessary for processing need to be virtually realized.

[0082] Note that for the above heat stroke onset risk determination program, it is not necessarily required to be stored in the HDD 1700 from the beginning. Each program may be stored in a "computer-readable recording medium", and the computer 1000 may acquire and execute each program from this "computer-readable recording medium". Examples of the "computer-readable recording medium" include optical discs such as CD-ROMs, phase change optical discs such as DVD-ROMs, magneto-optical discs such as MO (Magnet Optical) and MD (Mini Disk), magnetic discs such as floppy (registered trademark) discs and removable hard discs, and memory cards such as compact flash (registered trademark), smart media, SD memory cards, and memory sticks. Also, hardware devices such as integrated circuits (IC chips, etc.) specially designed and configured for the purpose of the present invention are included as recording media. Further, each program may be stored in another computer or server device connected to the computer 1000 via a public line, the Internet, a LAN, a WAN, etc. In that case, the computer 1000 may acquire and execute each program from another computer or server device.

[0083] (Modification example) In the above-described embodiment, the cloud server 60 includes the WBGT calculation unit 62, the biological information threshold calculation unit 63, the heat stroke onset risk determination unit 64, the signal generation unit 65, and the storage unit 66. However, it is not limited to this, and a configuration in which the wearable device 30 includes the WBGT calculation unit 62, the biological information threshold calculation unit 63, the heat stroke onset risk determination unit 64, the signal generation unit 65, and the storage unit 66 may be employed. In this configuration, the temperature data and humidity data sent from the communication unit of each temperature and humidity measurement device 40 are received by the communication unit 33 of the wearable device 30, and the heat stroke onset risk determination unit 64 provided in the wearable device 30 determines the heat stroke onset risk of the worker 20. That is, in this configuration, the wearable device 30 functions as a heat stroke onset risk determination device.

[0084] (Modification example) The heat stroke onset risk determination system according to the above-described embodiment targets the worker 20 working in the factory 10. However, the present invention can also target, for example, workers working at a construction site or in a warehouse, and can also target, in addition to workers, for example, the elderly or students in a school. Note that, depending on the place where the target person of the heat stroke onset risk determination system is active, the calculation formula used in the WBGT calculation unit may be appropriately changed.

[0085] (Modification example) In the above-described embodiment, the temperature and humidity measurement device 40 is arranged in the factory (work site) 10. However, it is not limited thereto, and for example, a configuration in which the temperature and humidity measurement device 40 (temperature information acquisition unit 41 and humidity information acquisition unit 42) is housed in the wearable device 30 may be used. In this case, it is possible to determine not only the heat stroke onset risk of the workers inside the factory 10 but also the heat stroke onset risk of the workers working outside the factory 10. Further, it is possible to determine the heat stroke onset risk for those who have a certain amount of outdoor activity time, such as students.

[0086] (Modification example) In the above-described embodiment, the heat stroke onset risk determination unit 64 determines whether the heat stroke onset risk of the worker has increased by (1) determining whether the biological information of the worker continuously exceeds the biological information threshold for a certain period of time and then (2) determining whether the WBGT for the worker continuously exceeds the WBGT threshold for a certain period of time. However, the order of these determinations can be interchanged, and the processes can also be executed in parallel with each other. Also, the determinations (1) and (2) in the flowchart only need to be executed for each determination, and the execution order of the determination processes is not limited to the order shown in FIG. 7. In the above-described embodiment, the "fixed time" in (2) is set to be the same as the "fixed time" in (1), that is, "between the first reference time and the first duration threshold value", but it is not limited to this. The "fixed time" in (2) may be set to be longer or shorter than the "first duration threshold value Ts1", and the start time of the "fixed time" in (2) may be set to be earlier or later than the "first reference time". However, by setting the "fixed time" in (2) to be the same as the "fixed time" in (1), that is, "between the first reference time and the first duration threshold value", the determination of whether the risk of heat stroke onset is increasing becomes more accurate, and in addition, the setting becomes simpler, suppressing the complication of heat stroke onset risk determination.

[0087] (Modification example) In the above-described embodiment, the WBGT for each worker 20 is calculated by the WBGT calculation unit 62 provided in the cloud server 60 based on the temperature data acquired by the temperature information acquisition unit 41 and the humidity data acquired by the humidity information acquisition unit 42. However, it is not limited to this. The WBGT for each worker 20 may adopt, for example, the WBGT included in the weather information of the area where each worker 20 is located, acquired via the Internet 50. Also, the WBGT for each worker 20 may be calculated based on, for example, the temperature data and humidity data included in the weather information of the area where each worker 20 is located, acquired via the Internet 50. However, by using the temperature data acquired by the temperature information acquisition unit 41 and the humidity data acquired by the humidity information acquisition unit 42, a more accurate WBGT considering the environment where the worker is located can be calculated.

[0088] (Modification example) In the above-described embodiment, when the heat stroke onset risk determination unit 64 determines that "the risk of heat stroke onset of the worker is increasing", it determines whether the biological information of the worker 20 continuously falls below the recovery threshold value D0 for a certain period of time. However, it is not limited to this, and the determination process of "whether the biological information of the worker 20 continuously falls below the recovery threshold value D0 for a certain period of time" by the heat stroke onset risk determination unit 64 can be omitted. However, when the heat stroke onset risk determination unit 64 determines that "the heat stroke onset risk of the worker is increasing", it is possible to determine whether the heat stroke onset risk of the worker 20 has sufficiently decreased by determining whether the biological information of the worker 20 continues to be lower than the recovery threshold value D0 for a certain period of time. Therefore, the determination of the heat stroke onset risk can be performed more accurately.

[0089] (Modification example) The heat stroke onset risk determination system according to the above-described embodiment includes the supervisor terminal 70. However, the present invention is not limited to this, and the heat stroke onset risk determination system may be configured not to include the supervisor terminal 70.

Explanation of reference numerals

[0090] 10 Factory 20 Worker 30 Wearable device 31 Biological information acquisition unit 32 Position information acquisition unit 33 Communication unit 34 Warning notification unit 40 Temperature and humidity measurement device 41 Temperature information acquisition unit 42 Humidity information acquisition unit 43 Communication unit 50 Internet 60 Cloud server 61 Data reception unit 62 WBGT calculation unit 63 Biological information threshold calculation unit 64 Heat stroke onset risk determination unit 65 Signal generation unit 66 Storage unit 67 Data transmission unit 70 Supervisor terminal 71 Communication unit 72 Information management unit 1000 Computer

Claims

1. A biological information acquisition unit that acquires biological information of a subject; A heat stroke onset risk determination unit that determines the heat stroke onset risk of the subject based on the biological information; A warning notification unit; Comprising: The heat stroke onset risk determination unit: Based on the biological information and a biological information threshold value, calculates a first continuous time during which the biological information continuously exceeds the biological information threshold value; When the first continuous time exceeds a first continuous time threshold value and the WBGT for the subject continuously exceeds a WBGT threshold value for a predetermined time, determines that the heat stroke onset risk of the subject is high; The warning notification unit notifies the subject that the heat stroke onset risk is high; The heat stroke onset risk determination unit further: Based on the biological information and a recovery threshold value, calculates a second continuous time during which the biological information continuously exceeds the recovery threshold value; When the second continuous time exceeds a second continuous time threshold value, determines that the heat stroke onset risk of the subject has sufficiently decreased; The warning notification unit further stops notifying the subject that the heat stroke onset risk is high A heat stroke onset risk determination system characterized by the above.

2. The heat stroke onset risk determination unit: Determines a first reference time which is the time point when the biological information exceeds the biological information threshold value; The predetermined time is between the first reference time and the first continuous time threshold value The heat stroke onset risk determination system according to claim 1, characterized by the above.

3. The heat stroke onset risk determination system further comprises: A temperature information acquisition unit that acquires temperature data; A humidity information acquisition unit that acquires humidity data; A WBGT calculation unit that calculates the WBGT for the subject based on the temperature data acquired by the temperature information acquisition unit and the humidity data acquired by the humidity information acquisition unit; Comprising: The heat stroke onset risk determination system according to claim 1 or 2, characterized by the above.

4. The heat stroke onset risk determination system further comprises: A plurality of the temperature information acquisition units; A plurality of the humidity information acquisition units; A position information acquisition unit that acquires the current position of the subject; Comprising: The WBGT calculation unit: Based on the current position of the subject acquired by the position information acquisition unit, selects temperature data and humidity data used for calculating WBGT from the plurality of temperature data acquired by the plurality of temperature information acquisition units and the plurality of humidity data acquired by the plurality of humidity information acquisition units The heat stroke onset risk determination system according to claim 3, characterized in that...

5. The heat stroke onset risk determination system further includes a biological information threshold calculation unit that calculates the biological information threshold, The biological information threshold calculation unit creates a biological information distribution from the biological information, and when the total probability density in the biological information distribution is 100%, calculates the boundary value between the upper X% and the lower (100 - X)% in the biological information distribution as the biological information threshold. The heat stroke onset risk determination system according to any one of claims 1 to 4, characterized in that...

6. The heat stroke onset risk determination system according to any one of claims 1 to 5, characterized in that the biological information is the pulse rate.

7. a biological information acquisition unit that acquires the biological information of the subject, a heat stroke onset risk determination unit that determines the heat stroke onset risk of the subject based on the biological information, a warning notification unit, The heat stroke onset risk determination unit calculates a first continuous time during which the biological information continuously exceeds the biological information threshold based on the biological information and the biological information threshold, determines that the heat stroke onset risk of the subject is high when the first continuous time exceeds a first continuous time threshold and the WBGT for the subject continuously exceeds a WBGT threshold for a predetermined time, The warning notification unit notifies the subject that the heat stroke onset risk is high, The heat stroke onset risk determination unit further calculates a second continuous time during which the biological information continuously exceeds the recovery threshold based on the biological information and the recovery threshold, determines that the heat stroke onset risk of the subject has sufficiently decreased when the second continuous time exceeds a second continuous time threshold, The warning notification unit further stops notifying the subject that the heat stroke onset risk is high. The heat stroke onset risk determination device, characterized in that...

8. Causing a computer to execute a heat stroke onset risk determination means for determining the heat stroke onset risk of the subject based on the biological information of the subject acquired by the biological information acquisition means, and a warning notification means, The heat stroke onset risk determination means calculates a first continuous time during which the biological information continuously exceeds the biological information threshold based on the biological information and the biological information threshold. ​ ​ When the first duration exceeds the first duration threshold and the WBGT for the subject continuously exceeds the WBGT threshold for a predetermined time, it is determined that the risk of heat stroke onset for the subject is high. The warning notification means notifies the subject that the risk of heat stroke onset is high. The heat stroke onset risk determination means further calculates a second duration during which the biological information continuously exceeds the recovery threshold based on the biological information and the recovery threshold. When the second duration exceeds the second duration threshold, it is determined that the risk of heat stroke onset for the subject has sufficiently decreased. The warning notification means further stops notifying the subject that the risk of heat stroke onset is high. A heat stroke onset risk determination program characterized by the above.

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