Health state determination device, health state monitoring system, health state determination method, and health state determination program

Abstract

To provide a health state determination device capable of improving accuracy of determining a health state of a monitoring object.SOLUTION: A monitoring device 17 as a health state determination device includes: an acquisition unit for acquiring biological information of a monitoring object; a first execution unit for determining a health state of the monitoring object on the basis of the acquired biological information, as a first determination mode; a second execution unit for determining a health state of the monitoring object on the basis of the acquired biological information, as a second determination mode corresponding to a state of the monitoring object different from the first determination mode; and a switching unit for switching between the first determination mode and the second determination mode on the basis of a fluctuation state in the biological information.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present disclosure relates to a health state determination device, a health state monitoring system, a health state determination method, and a health state determination program.

Background Art

[0002] For example, when performing work or the like, it is important to prevent heat stroke. To prevent heat stroke, it is recommended to use, for example, the WBGT value, which is a risk index for heat stroke in the working environment, and provide appropriate rest and hydration to workers.

[0003] In Patent Document 1, it is described that heat stroke is determined by comparing the temperature of the auricle with a threshold value.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] For example, in preventing heat stroke using the WBGT value, since the WGBT value is an index for the working environment, it is difficult to individually evaluate and prevent the risk of individual workers. In the method of Patent Document 1, it is possible to determine the heat stroke state of an individual worker.

[0006] However, in determining the health state such as heat stroke, the judgment criteria may vary depending on the state of the worker. That is, there is room for further improvement in the accuracy of determining the health state.

[0007] In view of the above problems, an object of the present disclosure is to provide a health state determination device, a health state monitoring system, a health state determination method, and a health state determination program that can improve the accuracy of determining the health state of a monitoring target.

Means for Solving the Problem

[0008] To solve the above problems, a health state determination device according to a first aspect of the present disclosure includes an acquisition unit that acquires biological information of a monitoring target, a first execution unit that determines the health state of the monitoring target based on the acquired biological information in a first determination mode, a second execution unit that determines the health state of the monitoring target based on the acquired biological information in a second determination mode corresponding to a state of the monitoring target different from the first determination mode, and a switching unit that switches between the first determination mode and the second determination mode based on a variation state in the biological information.

[0009] In addition, in the health state determination device according to a second aspect of the present disclosure, in the first aspect, the acquisition unit acquires the body temperature of the monitoring target as temperature information as the biological information, and the switching unit switches between the first determination mode and the second determination mode based on the variation state of the temperature information.

[0010] In addition, in the health state determination device according to a third aspect of the present disclosure, in the first aspect or the second aspect, the acquisition unit acquires the external ear temperature of the monitoring target as temperature information as the biological information, and the switching unit switches between the first determination mode and the second determination mode based on the variation state of the temperature information.

[0011] In addition, in the health state determination device according to a fourth aspect of the present disclosure, in the first aspect to the third aspect, the switching unit sets the first determination mode when the variation of the temperature information is within a predetermined range, and sets the second determination mode when the variation of the temperature information is outside the predetermined range.

[0012] In addition, in the health state determination device according to a fifth aspect of the present disclosure, in the first aspect to the fourth aspect, the first determination mode is a determination mode corresponding to a state in which the thermal equilibrium of the monitoring target is maintained, and the second determination mode is a determination mode corresponding to a state in which the thermal equilibrium of the monitoring target cannot be maintained.

[0013] Further, in the health state determination device according to the sixth aspect of the present disclosure, in the first to fifth aspects, at least one of the first execution unit and the second execution unit compares the temperature information with a threshold value to determine that there is an abnormality in the health state of the monitoring target.

[0014] Further, in the health state determination device according to the seventh aspect of the present disclosure, in the first to sixth aspects, it includes an estimation unit that estimates the core body temperature of the monitoring target based on the temperature information, and the second execution unit determines the health state of the monitoring target based on the core body temperature.

[0015] Further, in the health state determination device according to the eighth aspect of the present disclosure, in the first to seventh aspects, the second execution unit compares the core body temperature with a threshold value to determine that there is an abnormality in the health state of the monitoring target.

[0016] Further, in the health state determination device according to the ninth aspect of the present disclosure, in the first to eighth aspects, the second execution unit compares the rate of change of the temperature information with a threshold value to determine that there is an abnormality in the health state of the monitoring target.

[0017] Further, in the health state determination device according to the tenth aspect of the present disclosure, in the first to ninth aspects, the acquisition unit acquires the ambient temperature around the monitoring target, and the estimation unit estimates the core body temperature based on the temperature information and the ambient temperature.

[0018] Further, in the health state determination device according to the eleventh aspect of the present disclosure, in the first to tenth aspects, the estimation unit uses a function with the ambient temperature as a variable as a correction value to correct the temperature information with the correction value to estimate the core body temperature, and the correction value becomes smaller as the ambient temperature is higher.

[0019] Further, in the health state determination device according to the twelfth aspect of the present disclosure, in the first aspect to the eleventh aspect, a preparation unit that executes a preparation mode corresponding to a stage before performing the first determination mode and the second determination mode is provided, and the switching unit switches from the preparation mode to the first determination mode when the variation of the temperature information is within a predetermined range.

[0020] Further, in the health state determination device according to the thirteenth aspect of the present disclosure, in the first aspect to the twelfth aspect, the preparation unit compares the temperature information with a threshold value and determines that there is an abnormality in the health state of the monitoring target.

[0021] Further, in the health state monitoring system according to the fourteenth aspect of the present disclosure, in the first aspect to the thirteenth aspect, a sensor that measures biological information of a monitoring target, and the health state determination device according to claim 1, to which the biological information is input from the sensor and which is worn on the monitoring target, are provided.

[0022] Further, in the health state determination method according to the fifteenth aspect of the present disclosure, a step of acquiring biological information of a monitoring target, a step of determining the health state of the monitoring target based on the acquired biological information as a first determination mode, a step of determining the health state of the monitoring target based on the acquired biological information as a second determination mode corresponding to a state of the monitoring target different from the first determination mode, and a step of switching between the first determination mode and the second determination mode based on a variation state in the biological information are included.

[0023] Further, in the health state determination program according to the sixteenth aspect of the present disclosure, a process of acquiring biological information of a monitoring target, a process of determining the health state of the monitoring target based on the acquired biological information as a first determination mode, a process of determining the health state of the monitoring target based on the acquired biological information as a second determination mode corresponding to a state of the monitoring target different from the first determination mode, and a process of switching between the first determination mode and the second determination mode based on a variation state in the biological information are executed by a computer.

Advantages of the Invention

[0024] According to the health state determination device, health state monitoring system, health state determination method, and health state determination program according to the present disclosure, the accuracy of determining the health state of a monitoring target can be improved.

Brief Description of the Drawings

[0025]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Embodiments for Carrying Out the Invention

[0026] Hereinafter, a plurality of embodiments of the present disclosure will be described with reference to the accompanying drawings. For ease of understanding of the description, the same reference numerals are given to the same components and steps in each drawing as much as possible, and duplicate descriptions are omitted.

[0027] <Overall Configuration> FIG. 1 is a block diagram showing an example of the overall configuration of the health state monitoring system 1 according to the present embodiment.

[0028] The health condition monitoring system 1 is a system for monitoring the health condition of a monitoring target. In the present embodiment, the case where the monitoring target is a worker working on-site will be described as an example. The health condition monitoring system 1 individually determines the health condition of each of a plurality of workers. In the present embodiment, the case where the health condition to be determined is heat stroke will be described as an example. Heat stroke is a phenomenon in which a human dissipates heat through sweating, which is a basic body temperature regulation function, but the deep body temperature Tc rises due to a body temperature increase that cannot be suppressed by this dissipation, causing a malfunction in the body's functions. Further, in the present embodiment, the case where the biological information acquired from the monitoring target is the earlobe temperature Te will be described as an example.

[0029] Note that the health condition to be determined is an index related to the state of the worker, and is not limited to heat stroke, and the health condition to be monitored can be set as appropriate. For example, the determination target may be a deterioration in physical condition. Further, the biological information acquired from the monitoring target is not limited to the earlobe temperature Te, and can be set as appropriate according to the health condition to be monitored.

[0030] As shown in FIG. 1, the health condition monitoring system 1 includes a server device 10, one or more individual monitoring terminals 12, and an integrated monitoring terminal 13. These server device 10, individual monitoring terminals 12, and integrated monitoring terminal 13 are communicably connected via a communication network NT such as an intranet, the Internet, or a telephone line.

[0031] The server device 10 is an information processing device that receives various information from the individual monitoring terminals 12 and performs aggregated management. The various information to be managed can be provided to the integrated monitoring terminal 13.

[0032] The individual monitoring terminal 12 is an information processing device worn by a human to be monitored. The individual monitoring terminal 12 individually monitors the health status of the operator based on a health status determination program and transmits the monitored information to the server device 10. In this embodiment, it is assumed that the health status determination program is provided in the individual monitoring terminal 12 in advance. However, it may be received and installed from other devices such as the server device 10, or the processing of the health status determination program may be executed by the server device 10.

[0033] The integrated monitoring terminal 13 is an information processing device for acquiring and browsing the monitoring information of each operator aggregated in the server device 10 via the communication network NT. The integrated monitoring terminal 13 has a function as a monitor and displays the determination results of the health status corresponding to each operator. The integrated monitoring terminal 13 is operated, for example, by the supervisor of each operator, and the supervisor can comprehensively grasp the health status of each operator. The integrated monitoring terminal 13 can use various specific terminals as long as it can browse data via the communication network NT.

[0034] <Configuration of the individual monitoring terminal 12> FIG. 2 is a diagram schematically showing an example of the configuration of the individual monitoring terminal 12.

[0035] As shown in FIG. 2, the individual monitoring terminal 12 includes an ear clip 15 as a sensor for biological information, a temperature sensor 16, and a monitoring device 17 as a health status determination device.

[0036] The ear clip 15 is a sensor that measures the biometric information of the operator under surveillance. Specifically, the ear clip 15 is worn on the ear of the operator and measures the earlobe temperature Te. Heat stroke has a causal relationship with the deep body temperature Tc of a human. The deep body temperature Tc is the body temperature that is kept constant to protect the functions of the body such as the brain and internal organs. This deep body temperature Tc is said to reflect the temperature of the brain and internal organs, has a correlation with the temperatures of the esophagus, eardrum, and rectum, and also has a correlation with the earlobe temperature. Therefore, in this embodiment, the earlobe temperature Te is acquired as the biometric information of the operator. In particular, the ear clip 15 measures the temperature on the back of the earlobe. Since there is little sweating on the back of the earlobe, it is possible to measure the temperature with the influence of the heat of vaporization suppressed.

[0037] In this embodiment, the case of measuring the earlobe temperature Te will be described as an example, but it is not limited to the earlobe temperature Te as long as it is a body temperature having a correlation with the deep body temperature Tc.

[0038] FIG. 3 is a diagram showing an example of wearing the ear clip 15. The ear clip 15 is fixed by sandwiching the earlobe of the operator with the clip portion. And the temperature on the back of the earlobe is measured.

[0039] It is preferable to arrange a heat insulating material around the temperature measuring portion in the ear clip 15. That is, it is preferable to make the measured temperature less likely to be affected by the outside air temperature or radiant heat.

[0040] The temperature sensor 16 is a sensor that measures the temperature around the operator. That is, the temperature sensor 16 measures the ambient temperature To. In this embodiment, the temperature sensor 16 is configured to be provided in the monitoring device 17, but it may also be configured to be provided in the ear clip 15.

[0041] The monitoring device 17 is an information processing device that determines the health status of an operator. The monitoring device 17 is connected via the ear clip 15 and the cable 18. Thereby, the monitoring device 17 acquires the earlobe temperature Te measured by the ear clip 15. Then, the monitoring device 17 determines the heat stroke state of the operator. The details of the determination process of the monitoring device 17 will be described later.

[0042] As shown in FIG. 3, the monitoring device 17 is worn by the operator. For example, the monitoring device 17 is attached to the operator's helmet. Note that the attachment position is not limited.

[0043] <Hardware Configuration> FIG. 4 is a diagram schematically showing an example of the hardware configuration of the server device 10.

[0044] As shown in FIG. 4, the server device 10 includes a control device 20, a communication device 21, and a storage device 22. The control device 20 is mainly configured to include a CPU (Central Processing Unit) 23 and a memory 24. Note that the server device 10 is preferably a cloud server.

[0045] In the control device 20, the CPU 23 functions as various functional means by executing a predetermined program stored in the memory 24 or the storage device 22 or the like.

[0046] The communication device 21 is configured by a communication interface or the like for communicating with an external device. The communication device 21 can communicate with, for example, the individual monitoring terminal 12 and the integrated monitoring terminal 13.

[0047] The storage device 22 is configured by a hard disk or the like. It stores various programs, various information, and information on processing results necessary for the execution of processing in the control device 20.

[0048] Note that the server device 10 can be realized by using an information processing device such as a dedicated or general-purpose server computer. Also, the server device 10 may be composed of a single information processing device or may be composed of a plurality of information processing devices distributed on the communication network NT. Further, FIG. 2 only shows a part of the main hardware configuration of the server device 10, and the server device 10 can include other configurations generally provided in a server. Also, the hardware configuration of the integrated monitoring terminal 13 can have the same configuration as the server device 10, except that it includes, for example, an operation means, a display device, a sound output device, etc.

[0049] FIG. 5 is a diagram showing an example of the hardware configuration of the monitoring device 17 as the health state determination device shown in FIG. 2.

[0050] As shown in FIG. 5, the monitoring device 17 includes a main control unit 30, a communication unit 31, and a battery unit 33.

[0051] The main control unit 30 is configured to include a CPU, a memory, etc. The main control unit 30 is, for example, a microcomputer, and an information processing unit 34 and a storage unit 35 are mounted. That is, in the main control unit 30, various programs and various data are stored in the storage unit 35, and various processes are executed in the information processing unit 34. In particular, in this embodiment, the health state determination process is executed in the main control unit 30.

[0052] The communication unit 31 is connected to the communication network NT via an antenna and has a function of communicating with other devices such as the server device 10 connected to the communication network NT. The communication unit 31 can communicate, for example, by LPWA (Low Power Wide Area-network). In LPWA, for example, only transmission from the monitoring device 17 is possible. As the communication method, a method enabling two-way communication may be adopted.

[0053] The battery unit 33 supplies power to each part in the monitoring device 17. Since the main control unit 30 is composed of a microcomputer and the communication unit 31 can communicate via LPWA, the monitoring device 17 can operate with low power consumption.

[0054] <Functional means> FIG. 6 is a block diagram showing an example of various functions in the monitoring device 17. The health state determination is executed according to the functions in each block. In the present embodiment, the case where various functions are processed by the main control unit 30 in the monitoring device 17 is taken as an example.

[0055] As shown in FIG. 6, the monitoring device 17 mainly includes, as functional components, an acquisition unit 40, a switching unit 41, a preparation unit 42, a first execution unit 43, a second execution unit 44, and an estimation unit 45.

[0056] The acquisition unit 40 acquires the biometric information of the worker to be monitored. Specifically, the acquisition unit 40 acquires the earlobe temperature Te detected by the ear clip 15 as the temperature information in the biometric information. For example, the acquisition unit 40 acquires the earlobe temperature Te of the worker at a predetermined time interval. When a biometric temperature other than the earlobe temperature Te is detected as the biometric information, the acquisition unit 40 acquires the biometric temperature.

[0057] In addition, the acquisition unit 40 acquires the ambient temperature To of the worker measured by the temperature sensor 16.

[0058] The switching unit 41 switches among a preparation mode, a first determination mode, and a second determination mode. FIG. 7 is a diagram showing an example of the temporal changes in the deep body temperature Tc and the earlobe temperature Te. In FIG. 7, the vertical axis represents temperature and the horizontal axis represents time. The example in FIG. 7 shows a case where, after an operator wears the monitoring device 17 and starts monitoring, the operator performs work and the deep body temperature Tc increases. As shown in FIG. 7, at the beginning of monitoring by the monitoring device 17, the earlobe temperature Te increases according to the ambient temperature To and the labor load. Note that since the deep body temperature Tc is hardly affected by the ambient temperature To or the like, it remains almost constant. Such a transient state in which the earlobe temperature Te increases at the beginning of monitoring is called an unsteady state. After the unsteady state, although the earlobe temperature Te is affected by the ambient temperature To and the labor load, it maintains an equilibrium state by the body temperature regulation function. That is, the variation in the earlobe temperature Te is within a certain range. Also, the variation in the deep body temperature Tc is within a certain range. This state is the normal state and is called a steady state. Thus, in the steady state, the deep body temperature Tc and the earlobe temperature Te vary within a certain range with respect to each other, and there is a correlation between their behaviors. After the steady state, the arteriovenous anastomosis opens in order for the earlobe temperature Te to release heat due to the influence of the ambient temperature To and the labor load, but the heat balance cannot be maintained, the deep body temperature Tc rises, and the earlobe temperature Te also rises due to this influence. This state is called a temperature rise state. Thus, in the temperature rise state, the deep body temperature Tc and the earlobe temperature Te increase with respect to each other, and there is a correlation between their behaviors.

[0059] As described above, the deep body temperature Tc and the earlobe temperature Te of the operator become three states: an unsteady state, a steady state, and a temperature rise state, and the body temperature changes in each state. Therefore, the switching unit 41 performs three-mode switching among a preparation mode, a first determination mode, and a second determination mode according to each of the three states.

[0060] The preparation mode is a mode corresponding to a non-steady state. The preparation mode is a mode corresponding to the stage before performing the first determination mode and the second determination mode. The preparation mode is executed by a preparation unit 42 described later. The first determination mode is a mode corresponding to a steady state. The first determination mode is executed by a first execution unit 43 described later. The second determination mode is a mode corresponding to a temperature rising state. The second determination mode is executed by a second execution unit 44 described later. Each of the first determination mode and the second determination mode is a mode corresponding to different states of an operator. Also, the first determination mode is a determination mode corresponding to a state in which the thermal equilibrium of the operator is maintained, and the second determination mode is a determination mode corresponding to a state in which the thermal equilibrium of the operator cannot be maintained (a state in which it is not maintained).

[0061] Specifically, the switching unit 41 performs mode switching based on the fluctuation state of the earlobe temperature Te. As shown in FIG. 7, in the non-steady state, the earlobe temperature Te changes greatly, but in the steady state, the change in the earlobe temperature Te is limited. For this reason, the switching unit 41 switches from the preparation mode to the first determination mode when the fluctuation of the earlobe temperature Te falls within a predetermined range. Also, in the steady state, the change in the earlobe temperature Te is limited, but in the temperature rising state, the earlobe temperature Te increases greatly. For this reason, the switching unit 41 switches from the first determination mode to the second determination mode when the fluctuation of the earlobe temperature Te goes outside the predetermined range. Note that, by utilizing the characteristics of this fluctuation state, it may be possible to perform a process of returning from the first determination mode to the second determination mode. That is, the switching unit 41 sets the first determination mode when the fluctuation of the earlobe temperature Te is within the predetermined range, and sets the second determination mode when the fluctuation of the earlobe temperature Te is outside the predetermined range.

[0062] The preparation unit 42 executes the preparation mode. Specifically, the preparation unit 42 determines the health state of the operator in the non-steady state. The preparation unit 42 compares the earlobe temperature Te with a threshold value and determines that there is an abnormality in the health state of the operator. Specifically, the preparation unit 42 determines that there is a possibility that the operator has heat stroke when the earlobe temperature Te is higher than the threshold value α. The threshold value α is, for example, 37.5°C.

[0063] The first execution unit 43 executes the first determination mode. Specifically, the first execution unit 43 determines the health state of the operator in the steady state based on the earlobe temperature Te. The first execution unit 43 compares the earlobe temperature Te with a threshold value and determines that there is an abnormality in the health state of the operator. Specifically, when the earlobe temperature Te is higher than the threshold value α, the first execution unit 43 determines that the operator may have heat stroke. In the present embodiment, the case where the threshold value α is equal to the threshold value α used in the preparation unit 42 is taken as an example, but different values may be used.

[0064] The second execution unit 44 executes the second determination mode. Specifically, the second execution unit 44 determines the health state of the operator in the temperature rising state based on the earlobe temperature Te. The second execution unit 44 compares the earlobe temperature Te with a threshold value and determines that there is an abnormality in the health state of the operator. When the earlobe temperature Te is higher than the threshold value α, the second execution unit 44 determines that the operator may have heat stroke. In the present embodiment, the case where the threshold value α is equal to the threshold value α used in the preparation unit 42 is taken as an example, but different values may be used.

[0065] In addition, the second execution unit 44 determines the health state of the operator based on the core temperature Tc. The core temperature Tc is estimated by an estimation unit 45 described later. In the second execution unit 44, the core temperature Tc is compared with a threshold value, and it is determined that there is an abnormality in the health state of the operator. For example, when the value obtained by adding the temperature change amount of the earlobe temperature Te obtained by multiplying the change rate of the earlobe temperature Te by a predetermined time to the core temperature Tc estimated by the estimation unit 45 is equal to or greater than the threshold value β, the second execution unit 44 determines that the operator may have heat stroke. The change rate of the earlobe temperature Te is the change rate of the earlobe temperature Te within a predetermined past time. The predetermined past time is the time from the time when the change rate is calculated to a predetermined time before, and the predetermined time is, for example, 3 minutes. The threshold value β is, for example, 38.5°C.

[0066] Further, the second execution unit 44 compares the change rate of the earlobe temperature Te with a threshold value to determine that there is an abnormality in the health state of the operator. For example, when the change rate of the earlobe temperature Te is equal to or greater than the threshold value γ, it is determined that the operator may have heat stroke. The change rate is calculated in the same manner as described above. The threshold value γ is the temperature change per unit time (for example, 1 minute), and is, for example, 0.5 ° C / min.

[0067] Since the temperature rise state is a state in which the operator is particularly likely to have heat stroke, the second execution unit 44 makes a determination based on a plurality of determination methods.

[0068] The estimation unit 45 estimates the core body temperature Tc of the operator based on the earlobe temperature Te. Specifically, the estimation unit 45 uses the earlobe temperature Te and the environmental temperature To, and estimates the core body temperature Tc by utilizing the correlation with the core body temperature Tc. The correlation is preset from the relationship between the core body temperature Tc and the earlobe temperature Te as shown in FIG. 7, for example. For example, the correspondence relationship can be set as Tc = Te + f(To). f(To) is a function with To as a variable and is preset. The core body temperature Tc is calculated by correcting the earlobe temperature Te with the value of this function as a correction value. Further, by estimating the core body temperature Tc from the earlobe temperature Te in consideration of the environmental temperature To, the estimation accuracy can be improved. When the environmental temperature To is high, the earlobe temperature Te tends to be high. Therefore, the correction value becomes a smaller value as the environmental temperature To is higher. Note that the correction value may be a negative value when the environmental temperature To is very high.

[0069] <Flow of processing> FIG. 8 is a flowchart showing an example of the flow of the health state determination process according to the present embodiment. Each process of the following steps is started, for example, at the timing when the operator wears the monitoring device 17 and the power is turned on. After wearing the ear clip 15 and the monitoring device 17, the operator starts working. Note that the order and content of the following steps can be changed as appropriate.

[0070] (Step SP10) The switching unit 41 selects the preparation mode. That is, immediately after the operation of the monitoring device 17 starts, the switching unit 41 selects the preparation mode.

[0071] (Step SP11) The acquisition unit 40 acquires the earlobe temperature Te and the ambient temperature To from the ear clip 15 and the temperature sensor 16.

[0072] (Step SP12) The preparation unit 42 determines whether the earlobe temperature Te is higher than the threshold value α. In step SP12, it may also be determined whether the earlobe temperature Te is equal to or higher than the threshold value α. The threshold value α is set, for example, as the earlobe temperature Te corresponding to the lower limit value of the deep body temperature Tc at which heat stroke may occur. If the earlobe temperature Te is higher than the threshold value α, the process proceeds to step SP13. If the earlobe temperature Te is not higher than the threshold value α, the process proceeds to step SP14.

[0073] (Step SP13) The preparation unit 42 determines that the operator may have heat stroke, and sets it as the determination result C1. Then, the flow ends.

[0074] (Step SP14) The switching unit 41 calculates the variation amount ΔTe1 of the earlobe temperature Te. The variation amount ΔTe1 is the difference between the maximum value and the minimum value of the measurement results of a plurality of earlobe temperatures Te measured within a predetermined past time. The predetermined past time is the period from the start of step SP14 to a predetermined time ago. The predetermined time is, for example, 10 minutes. Note that the variation amount ΔTe1 is not limited to the above as long as it is the change amount of the earlobe temperature Te.

[0075] (Step SP15) The switching unit 41 determines whether the amount of change ΔTe1 in the earlobe temperature Te is lower than the threshold value δ. Thereby, it can be determined whether the change in the earlobe temperature Te is within a predetermined range or outside the predetermined range. When the amount of change ΔTe1 in the earlobe temperature Te is lower than the threshold value δ, the process proceeds to step SP20. When the amount of change ΔTe1 in the earlobe temperature Te is not lower than the threshold value δ, the process returns to step SP11. Note that in step SP15, it may be determined whether the amount of change ΔTe1 in the earlobe temperature Te is less than or equal to the threshold value δ.

[0076] As described above, steps SP10 to SP15 are processes corresponding to the preparation mode. When the change in the earlobe temperature Te subsides from a state where the change is large, in subsequent processes, the mode shifts from the preparation mode to the first determination mode.

[0077] (Step SP20) The switching unit 41 switches from the preparation mode to the first determination mode.

[0078] (Step SP21) The switching unit 41 calculates the average value Tes of the earlobe temperature Te. The average value Tes is the average value of the measurement results of a plurality of earlobe temperatures Te measured within a predetermined past time. The predetermined past time is the period from the start of step SP21 to a time predetermined before. The predetermined time is, for example, 10 minutes.

[0079] (Step SP22) The acquisition unit 40 acquires the earlobe temperature Te and the environmental temperature To from the ear clip 15 and the temperature sensor 16.

[0080] (Step SP23) The first execution unit 43 determines whether the earlobe temperature Te is higher than the threshold value α. When the earlobe temperature Te is higher than the threshold value α, the process proceeds to step SP24. When the earlobe temperature Te is not higher than the threshold value α, the process proceeds to step SP25. Note that in step SP23, it may be determined whether the earlobe temperature Te is greater than or equal to the threshold value α.

[0081] (Step SP24) The first execution unit 43 determines that the operator may be suffering from heat stroke, and sets it as the determination result C1. Then, the flow ends.

[0082] (Step SP25) The switching unit 41 determines whether the earlobe temperature Te is higher than a threshold value obtained by adding a predetermined value ε to the average value Tes. The predetermined value ε is set as the difference from the average value Tes allowed as a steady state. The predetermined value ε is, for example, 0.25°C. Accordingly, it is possible to determine whether the variation in the earlobe temperature Te is within a predetermined range or outside the predetermined range. If the earlobe temperature Te is higher than the threshold value, the process proceeds to step SP30. If the earlobe temperature Te is not higher than the threshold value, the process returns to step SP22. Note that, if the earlobe temperature Te is not higher than the threshold value, the process may return to step SP21. Note that, in step SP25, it may be determined whether or not the value is equal to or higher than the threshold value obtained by adding the predetermined value ε to the average value Tes.

[0083] As described above, steps SP20 to SP25 are processes corresponding to the first determination mode. When the variation in the earlobe temperature Te changes from a small state to a large state, the process shifts from the first determination mode to the second determination mode in subsequent processes.

[0084] (Step SP30) The switching unit 41 switches from the first determination mode to the second determination mode.

[0085] (Step SP31) The acquisition unit 40 acquires the earlobe temperature Te and the ambient temperature To from the ear clip 15 and the temperature sensor 16.

[0086] (Step SP32) The second execution unit 44 determines whether the earlobe temperature Te is higher than a threshold value α. If the earlobe temperature Te is higher than the threshold value α, the process proceeds to step SP33. If the earlobe temperature Te is not higher than the threshold value α, the process proceeds to step SP34. Note that, in step SP32, it may be determined whether or not the earlobe temperature Te is equal to or higher than the threshold value α.

[0087] (Step SP33) The second execution unit 44 determines that the operator may be suffering from heat stroke, and sets the determination result as C1. Then, the flow ends.

[0088] (Step SP34) The second execution unit 44 calculates the change rate ΔTe2 of the earlobe temperature Te. The change rate ΔTe2 is the change rate of the earlobe temperature Te within a predetermined past time. The predetermined past time is the period from the time when Step SP34 starts to a time predetermined before. The predetermined time is, for example, 3 minutes.

[0089] (Step SP35) The estimation unit 45 calculates the deep body temperature Tc. For example, the deep body temperature Tc is calculated using the correspondence relationship of Tc = Te + f(To).

[0090] (Step SP36) The second execution unit 44 determines whether the value obtained by adding the deep body temperature Tc and the temperature change amount Te2 is equal to or greater than the threshold value β. The temperature change amount Te2 is the value obtained by multiplying the change rate ΔTe2 of the earlobe temperature Te by a predetermined time t1 (Te2 = ΔTe2 × t1). The predetermined time t1 is, for example, 5 minutes. The threshold value β is, for example, 38.5°C. That is, the deep body temperature Tc after a predetermined time t1 is predicted by Tc + Te2, and it is determined whether this predicted deep body temperature Tc is equal to or greater than the threshold value β. Thereby, an increase in the deep body temperature Tc after a predetermined time t1 is detected. When the added value is equal to or greater than the threshold value β, the process proceeds to Step SP37. When the added value is less than the threshold value β, the process proceeds to Step SP38. Note that in Step SP36, it may be determined whether the value obtained by adding the deep body temperature Tc and the temperature change amount Te2 is higher than the threshold value β.

[0091] (Step SP37) The second execution unit 44 determines that the operator may be suffering from heat stroke, and sets the determination result as C2. Then, the flow ends.

[0092] (Step SP38) The second execution unit 44 determines whether the change rate ΔTe2 is equal to or greater than the threshold value γ. The threshold value γ is, for example, 0.5. By this, a rapid rise in the earlobe temperature Te, that is, the deep body temperature Tc, is detected. If the change rate ΔTe2 is equal to or greater than the threshold value γ, the process proceeds to step SP39. If the change rate ΔTe2 is less than the threshold value γ, the process proceeds to step SP40. Note that in step SP38, it may be determined whether the change rate ΔTe2 is higher than the threshold value γ.

[0093] (Step SP39) The second execution unit 44 determines that the operator may be suffering from heat stroke, and sets it as the determination result C3. Then, the flow ends.

[0094] (Step SP40) The switching unit 41 determines whether the variation of the earlobe temperature Te is outside a predetermined range. For example, similar to step SP25, the switching unit 41 determines whether the earlobe temperature Te is higher than a threshold value obtained by adding a predetermined value ε to the average value Tes. Thus, it is possible to determine whether the variation of the earlobe temperature Te is within a predetermined range or outside the predetermined range. If the earlobe temperature Te is higher than the threshold value, the process returns to step SP31. If the earlobe temperature Te is not higher than the threshold value, since it is possible that the operator who was in a temperature rising state has returned to a steady state, the process returns to step SP20 and the first determination mode is executed.

[0095] As described above, steps SP30 to SP40 are processes corresponding to the second determination mode.

[0096] As in the flow of FIG. 8, the preparation mode, the first determination mode, and the second determination mode are switched according to the state of the operator, and the health state determination process suitable for each state is executed.

[0097] Note that, for example, when the power of the monitoring device 17 is turned off or the monitoring device 17 is removed during the execution of the first determination mode or the second determination mode, the process may end.

[0098] <Monitoring Example> FIG. 9 is a diagram showing an example of a screen 50 viewed by the integrated monitoring terminal 13. By accessing the server device 10 with the integrated monitoring terminal 13, the screen 50 can be displayed on the integrated monitoring terminal 13.

[0099] On the screen 50, in the first area 51, the weather forecast at the location of the work site is displayed. In the first area 51, the weather forecast for each time zone, the temperature, the humidity, and the wind speed are displayed. Also, in the first area 51, the maximum temperature and the precipitation probability on the work day are displayed.

[0100] Also, on the screen 50, in the second area 52, the respective states of the workers are displayed for each block 53. In FIG. 9, a block 53 of a certain worker is enlarged and displayed as a block 54. In each block 53, the name of the worker, the role, the heat stroke risk level, the WBGT, the ambient temperature To, the humidity, and the radio wave status of the monitoring device 17 are displayed. The heat stroke risk level is also displayed by a face mark, where mark 55 indicates a normal state, mark 56 indicates a caution state, and mark 57 indicates a dangerous state.

[0101] The face mark is linked to the determination result in the monitoring device 17. For example, when none of the determination results C1, C2, and C3 are determined, mark 55 is displayed. For example, when any one of the determination results C1, C2, and C3 is determined, the dangerous state mark 57 is displayed. Also, when a plurality of thresholds are used in each determination and evaluated step by step, for example, at two levels, etc., in the case of a determination with a low danger level, the caution state mark 56 may be displayed, and in the case of a determination with a high danger level, the dangerous state mark 57 may be displayed. Note that the correspondence between the determination result and the face mark is not limited to the above. For example, when any one of the determination results C1, C2, and C3 is determined, if the ambient temperature To is less than the threshold value, the caution state mark 56 may be displayed, and if the ambient temperature To is greater than or equal to the threshold value, the dangerous state mark 57 may be displayed. Note that the determination result may be combined with WBGT or humidity.

[0102] With the integrated monitoring terminal 13, the supervisor can comprehensively grasp the health status of each worker and carry out work safely. By sequentially transmitting the determination results from the monitoring device 17 to the server device 10, it is also possible to perform real-time management of each worker on the integrated monitoring terminal 13. In order to monitor the respective states of the workers, it is possible to monitor the health status in consideration of the individual conditions and the individual working environment of each worker. In this way, a safe working environment can be realized.

[0103] <Operational Effect> As described above, the monitoring device 17 as the health status determination device according to the present embodiment includes an acquisition unit 40 that acquires biological information of a monitoring target, a first execution unit 43 that determines the health status of the monitoring target based on the acquired biological information in a first determination mode, a second execution unit 44 that determines the health status of the monitoring target based on the acquired biological information in a second determination mode corresponding to the state of the monitoring target different from the first determination mode, and a switching unit 41 that switches between the first determination mode and the second determination mode based on the variation state in the biological information.

[0104] According to this configuration, by switching between the first determination mode and the second determination mode corresponding to the states of different workers and determining the health status in each case, it is possible to determine the health status with higher accuracy corresponding to the state of the worker. In particular, it is possible to accurately determine whether a worker is likely to suffer from heat stroke. If the risk of heat stroke for each worker can be accurately determined, it is possible to avoid the aggravation of heat stroke and suppress accidents at the workplace without relying on the self-judgment of the worker.

[0105] Further, in the monitoring device 17 according to the present embodiment, the acquisition unit 40 acquires the body temperature of the monitoring target as temperature information as the biological information, and the switching unit 41 switches between the first determination mode and the second determination mode based on the variation state of the temperature information.

[0106] According to this configuration, by switching the determination mode based on the variation state of the body temperature of the worker, the mode switching process can be appropriately executed.

[0107] In addition, in the monitoring device 17 according to the present embodiment, the acquisition unit 40 acquires the outer ear temperature of the monitoring target as temperature information as biological information, and the switching unit 41 switches between the first determination mode and the second determination mode based on the fluctuation state of the temperature information.

[0108] According to this configuration, by switching the determination mode based on the fluctuation state of the outer ear temperature of the operator, the mode switching process can be appropriately executed. In particular, since the deep body temperature Tc, which is related to heat stroke, has a correlation with the outer ear temperature (especially the earlobe temperature Te), by basing on the fluctuation of the outer ear temperature, the mode can be appropriately selected and it can be determined with high accuracy whether the operator may have heat stroke.

[0109] In addition, in the monitoring device 17 according to the present embodiment, the switching unit 41 sets the first determination mode when the fluctuation of the temperature information is within a predetermined range, and sets the second determination mode when the fluctuation of the temperature information is outside the predetermined range.

[0110] According to this configuration, the state of the operator can be classified according to whether the fluctuation of the temperature information as biological information is small or large, and the first determination mode and the second determination mode can be appropriately switched.

[0111] In addition, in the monitoring device 17 according to the present embodiment, the first determination mode is a determination mode corresponding to a state in which the heat balance of the monitoring target is maintained, and the second determination mode is a determination mode corresponding to a state in which the heat balance of the monitoring target cannot be maintained.

[0112] According to this configuration, the state of the operator can be classified according to whether the heat balance of the operator is maintained or not, and the first determination mode and the second determination mode can be appropriately switched. In particular, when the heat balance is not maintained, the risk of heat stroke increases.

[0113] In addition, in the monitoring device 17 according to the present embodiment, at least one of the first execution unit 43 and the second execution unit 44 compares the temperature information with a threshold value and determines that there is an abnormality in the health state of the monitoring target.

[0114] According to this configuration, by comparing the temperature information with the threshold value, for example, it can be determined that the operator is in a high-temperature state.

[0115] In addition, the monitoring device 17 according to the present embodiment includes an estimation unit 45 that estimates the deep body temperature Tc of the monitoring target based on the temperature information, and the second execution unit 44 determines the health state of the monitoring target based on the deep body temperature Tc.

[0116] According to this configuration, by being based on the deep body temperature Tc, the determination accuracy of the health state is improved. In particular, by estimating the deep body temperature Tc based on temperature information such as earlobe temperature, it is not necessary to directly measure the deep body temperature Tc, and the device can be simplified.

[0117] In addition, in the monitoring device 17 according to the present embodiment, the second execution unit 44 compares the deep body temperature Tc with a threshold value and determines that there is an abnormality in the health state of the monitoring target.

[0118] According to this configuration, by comparing the deep temperature with the threshold value, for example, it can be determined that the deep body temperature Tc of the operator is in a high-temperature state.

[0119] In addition, in the monitoring device 17 according to the present embodiment, the second execution unit 44 compares the rate of change of the temperature information with a threshold value and determines that there is an abnormality in the health state of the monitoring target.

[0120] According to this configuration, by comparing the rate of change of the temperature information with the threshold value, for example, a sudden temperature rise of the operator can be detected and the health state can be determined.

[0121] Further, in the monitoring device 17 according to the present embodiment, the acquisition unit 40 acquires the ambient temperature To around the monitoring target, and the estimation unit 45 estimates the deep body temperature Tc based on the temperature information and the ambient temperature To.

[0122] According to this configuration, since the deep body temperature Tc is estimated using not only the temperature information of the operator but also the ambient temperature To, the estimation accuracy can be improved.

[0123] Further, in the monitoring device 17 according to the present embodiment, the estimation unit 45 uses a function having the ambient temperature To as a variable as a correction value, corrects the temperature information with the correction value, and estimates the deep body temperature Tc. The correction value becomes smaller as the ambient temperature To is higher.

[0124] According to this configuration, since the earlobe temperature Te tends to increase as the ambient temperature To increases for the temperature information of the operator, the deep body temperature Tc can be estimated more accurately by making the correction value smaller as the ambient temperature To is higher.

[0125] Further, the monitoring device 17 according to the present embodiment includes a preparation unit 42 that executes a preparation mode corresponding to a pre-stage of performing the first determination mode and the second determination mode. The switching unit 41 switches from the preparation mode to the first determination mode when the variation of the temperature information is within a predetermined range.

[0126] According to this configuration, in the pre-stage of the first determination mode and the second determination mode, the correlation between the deep body temperature Tc and the temperature information such as the earlobe temperature is weak, and the temperature information may vary greatly. Therefore, it is possible to appropriately switch the mode by switching from the preparation mode to the first determination mode when the variation is within a predetermined range.

[0127] Further, in the monitoring device 17 according to the present embodiment, the preparation unit 42 compares the temperature information with a threshold value and determines that there is an abnormality in the health state of the monitoring target.

[0128] According to this configuration, by comparing the temperature information with the threshold value, in the preparation mode, for example, a sudden temperature rise of an operator can be detected to determine the health state.

[0129] <Modification Example> Note that the present disclosure is not limited to the above-described embodiments. That is, those obtained by appropriately making design changes to the above-described embodiments by those skilled in the art are also included in the scope of the present disclosure as long as they have the features of the present disclosure. In addition, each element included in the above-described embodiments and the modification examples described later can be combined as long as it is technically possible, and those obtained by combining them are also included in the scope of the present disclosure as long as they include the features of the present disclosure.

[0130] In the present embodiment, the case of measuring the earlobe temperature Te is taken as an example. However, as long as it is a biological temperature having a correlation with the deep body temperature Tc, other biological information such as the outer ear temperature (temperature in the outer ear including the earlobe) may be measured as biological information.

[0131] In the present embodiment, the case where various functions of the health state determination process are executed by the main control unit 30 in the monitoring device 17 is taken as an example. However, part or all of them may be executed by other devices such as the server device 10.

[0132] In the present embodiment, the deep body temperature Tc is estimated using the environmental temperature To. However, the deep body temperature Tc may be estimated from the earlobe temperature Te without using the environmental temperature To. Further, for example, the deep body temperature Tc may be estimated in consideration of parameters other than the environmental temperature To such as humidity. In the present embodiment, the case where the deep body temperature Tc is estimated as Tc = Te + f(To) is taken as an example. However, the correspondence relationship between the deep body temperature Tc and the earlobe temperature Te is not limited to the above formula.

[0133] In the present embodiment, an example of switching in the order of the preparation mode, the first determination mode, and the second determination mode has been described. However, it may be switched from the preparation mode to the second determination mode.

[0134] In this embodiment, the supervisor comprehensively grasps the health status of each worker by means of the integrated monitoring terminal 13. However, it is also possible to display the screen of the integrated monitoring terminal 13 or the portion corresponding to the worker on the screen of the integrated monitoring terminal 13 on the mobile terminal of the worker or the like. Note that as long as the worker can recognize their own status, it is not limited to the above method.

Explanation of Signs

[0135] 17: Monitoring Device (Health Status Determination Device) 40: Acquisition Unit 41: Switching Unit 43: First Execution Unit 44: Second Execution Unit

Claims

1. An acquisition unit that acquires biological information of a monitoring target; As a first determination mode, a first execution unit that determines the health state of the monitoring target based on the acquired biological information; As a second determination mode corresponding to the state of the monitoring target different from the first determination mode, a second execution unit that determines the health state of the monitoring target based on the acquired biological information; A switching unit that switches between the first determination mode and the second determination mode based on the variation state in the biological information; A health state determination device comprising the above.

2. The acquisition unit acquires the body temperature of the monitoring target as temperature information as the biological information, The switching unit switches between the first determination mode and the second determination mode based on the variation state of the temperature information, The health state determination device according to Claim 1.

3. The acquisition unit acquires the outer ear temperature of the monitoring target as temperature information as the biological information, The switching unit switches between the first determination mode and the second determination mode based on the variation state of the temperature information, The health state determination device according to Claim 1.

4. The switching unit sets the first determination mode when the variation of the temperature information is within a predetermined range, and sets the second determination mode when the variation of the temperature information is outside the predetermined range, The health state determination device according to Claim 2 or 3.

5. The first determination mode is a determination mode corresponding to a state in which the thermal equilibrium of the monitoring target is maintained, and the second determination mode is a determination mode corresponding to a state in which the thermal equilibrium of the monitoring target cannot be maintained, The health state determination device according to Claim 2 or 3.

6. At least one of the first execution unit and the second execution unit compares the temperature information with a threshold value to determine that there is an abnormality in the health state of the monitoring target, The health state determination device according to Claim 5.

7. Comprising an estimation unit that estimates the deep body temperature of the monitoring target based on the temperature information, The second execution unit determines the health state of the monitoring target based on the deep body temperature, The health state determination device according to Claim 5.

8. The second execution unit compares the deep body temperature with a threshold value to determine that there is an abnormality in the health state of the monitoring target, The health state determination device according to Claim 7.

9. The second execution unit compares the rate of change of the temperature information with a threshold value to determine that there is an abnormality in the health state of the monitoring target, The health state determination device according to Claim 5.

10. The acquisition unit acquires the ambient temperature around the object to be monitored, and the estimation unit estimates the core body temperature based on the temperature information and the ambient temperature. The health state determination device according to claim 7.

11. The estimation unit uses a function with the ambient temperature as a variable as a correction value, corrects the temperature information with the correction value, and estimates the core body temperature. The correction value becomes smaller as the ambient temperature is higher. The health state determination device according to claim 10.

12. A preparation unit is provided that executes a preparation mode corresponding to a stage before performing the first determination mode and the second determination mode. When the variation of the temperature information is within a predetermined range, the switching unit switches from the preparation mode to the first determination mode. The health state determination device according to claim 4.

13. The preparation unit compares the temperature information with a threshold value and determines that there is an abnormality in the health state of the object to be monitored. The health state determination device according to claim 12.

14. A sensor that measures biological information of an object to be monitored, The health state determination device according to claim 1, wherein the biological information is input from the sensor and the device is worn on the object to be monitored. A health state monitoring system comprising the above.

15. A step of acquiring biological information of an object to be monitored, As a first determination mode, a step of determining the health state of the object to be monitored based on the acquired biological information, As a second determination mode corresponding to a state of the object to be monitored different from the first determination mode, a step of determining the health state of the object to be monitored based on the acquired biological information, A step of switching between the first determination mode and the second determination mode based on a variation state in the biological information. A health state determination method comprising the above.

16. A process of acquiring biological information of an object to be monitored, As a first determination mode, a process of determining the health state of the object to be monitored based on the acquired biological information, As a second determination mode corresponding to a state of the object to be monitored different from the first determination mode, a process of determining the health state of the object to be monitored based on the acquired biological information, A process of switching between the first determination mode and the second determination mode based on a variation state in the biological information. A health state determination program for causing a computer to execute the above.

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