JP7448752B2 - Training status evaluation system - Google Patents

Description

Article 30, Paragraph 2 of the Patent Act applies Publication address: https://www. Teijin. co. jp/news/2019/20190829_1903. html Date of publication: August 29, 2020

Article 30, Paragraph 2 of the Patent Act applies Meeting name: Teijin Limited public press conference, date: August 29, 2020

Article 30, Paragraph 2 of the Patent Act applies Publisher name: Japan Uniform Center, Public Interest Incorporated Foundation, Publication name: The UNIFORM 2019, Volume 51, No. 6, Volume 582, Publication date: November 1, 2020

Patent Law Article 30, Paragraph 2 applies Publisher name: Icarus Publishing Co., Ltd., Publication name: J Rescue January 2020 issue, Volume 103, Publication date: December 10, 2020

Article 30, Paragraph 2 of the Patent Act applies Meeting name: 2019 Firefighter Safety and Health Training Session, Sponsor: National Association of Fire Chiefs Tokai Branch, Date: January 22, 2020

The present invention relates to a training status evaluation system.

It is important to prevent firefighters carrying out firefighting operations and workers working under the scorching sun from suffering heat stroke. Currently, a known measure to prevent heatstroke is to conduct training to acclimatize to the heat. Heat acclimation is the gradual adaptation of the body to the heat. Currently, various techniques regarding heat acclimation are known.

For example, Patent Document 1 describes an electronic device that estimates the degree of heat acclimatization. Furthermore, for example, Non-Patent Document 1 describes a training method for firefighters to acclimatize to the heat. Non-Patent Document 1 shows that acclimatization to the heat can be acquired by performing training with a predetermined menu in a predetermined environment.

Japanese Patent Application Publication No. 2018-143442

Yoshimasa Kubo, Masahisa Hosoya, Tsuguo Genkai, and Toshitaka Yamaguchi, “Verification of specific measures for heat acclimatization training conducted by firefighters,” Fire Service Technology and Safety Bureau Bulletin, Tokyo Fire Department, 2013, No. 50, p. 62-68

However, depending on the equipment of the fire department, the weather, etc., it may be difficult to reproduce the environment described in Non-Patent Document 1. Further, even if training is carried out in the environment described in Non-Patent Document 1, it is thought that there are individual differences in the expected value of heat acclimatization obtained through training. For this reason, there is a desire to know whether the training state of a user who performs training for heat acclimatization is an appropriate training state for heat acclimatization. Patent Document 1 and Non-Patent Document 1 do not describe any technology to meet such demands.

The present invention has been made in view of the above problems, and an object of the present invention is to provide a training state evaluation system that notifies users of training state evaluation results of users who perform heat acclimatization training.

In order to achieve the above object, the training condition evaluation system according to the present invention includes:
A core body temperature acquisition means that acquires by estimating or measuring the core body temperature, which is the internal body temperature of a user who performs training for heat acclimatization;
Training state evaluation means for evaluating the training state of the user based on the deep body temperature acquired by the deep body temperature acquisition means;
and an evaluation result notifying means for notifying the evaluation result by the training state evaluation means, and is used by firefighting workers.

Temperature measuring means for measuring the temperature inside the clothes, which is the temperature inside the clothes worn by the user;
Further comprising: acceleration detection means for detecting acceleration applied to the user,
The deep body temperature acquisition means may include a deep body temperature estimation means for estimating the deep body temperature based on the temperature inside the clothing measured by the temperature measurement means and the acceleration detected by the acceleration detection means. good.

The training state evaluation means determines that the training state of the user is heat acclimatization when the total time during which the core body temperature acquired by the core body temperature acquisition means is maintained at a first temperature threshold or higher exceeds a time threshold. It may be evaluated that the training condition is suitable.

Further comprising exercise intensity calculation means for calculating the exercise intensity of the user,
The training state evaluation means determines that the training state of the user is suitable for heat acclimatization when the exercise intensity calculated by the exercise intensity calculation means is within an intensity range from a first intensity threshold to a second intensity threshold. It may be evaluated that the user is in a training state.

The apparatus may further include a first alarm means that issues an alarm when the exercise intensity calculated by the exercise intensity calculation means is equal to or higher than a third intensity threshold.

Further comprising acceleration detection means for detecting acceleration applied to the user,
The exercise intensity calculation means may calculate, as the exercise intensity, a ratio of the user's oxygen intake based on the acceleration detected by the acceleration detection means to the user's maximum oxygen intake.

The device may further include a second alarm unit that issues an alarm when the core body temperature acquired by the core body temperature acquisition unit is equal to or higher than a third temperature threshold.

According to the present invention, it is possible to notify the evaluation result of the training state of a user who performs training for heat acclimatization.

Configuration diagram of a training state evaluation system according to Embodiment 1 of the present invention Layout diagram of processing device and notification device according to Embodiment 1 of the present invention An explanatory diagram of the functions of the training state evaluation system according to Embodiment 1 of the present invention Flowchart showing evaluation processing executed by the processing device according to Embodiment 1 of the present invention Flowchart showing the notification process shown in FIG. 4 Flowchart showing screen display processing executed by the monitoring device according to Embodiment 1 of the present invention Diagram showing the evaluation result presentation screen An explanatory diagram of the functions of the training state evaluation system according to Embodiment 2 of the present invention

Embodiments of the present invention will be described below with reference to the drawings. In addition, in the figures, the same or corresponding parts are given the same reference numerals.

(Embodiment 1)
First, with reference to FIG. 1, the configuration of a training state evaluation system 1000 according to Embodiment 1 of the present invention will be described. The training status evaluation system 1000 is a system that evaluates the training status of a user who performs heat acclimatization training and notifies the evaluation results, and is used by firefighting workers. Heat acclimation is the gradual adaptation of the body to heat, and is basically achieved by training in a hot environment.

The expected value of heat acclimatization obtained through training (hereinafter referred to as "expected heat acclimatization value" as appropriate) is considered to depend on a combination of factors such as the training menu, training environment, and the person conducting the training. The training menu is defined by, for example, the content of the exercise, the time to perform the exercise, the order in which the exercise is performed, and the like. The training environment is defined by, for example, ambient temperature, ambient humidity, and clothing worn by the person performing the training.

By the way, for example, even if the training menu is the same, if the training environment or the person performing the training is different, the expected heat acclimatization values are considered to be different. Further, even if the training environment is the same, if the training menu or training person is different, the expected heat acclimation value will be different. Further, even if the training person is the same, if the training menu or training environment is different, the expected value of heat acclimatization is considered to be different.

However, it is not considered easy to estimate the expected heat acclimation value from a combination of the above three factors. Therefore, the training condition evaluation system 1000 detects sensor values during training that are considered to be dependent on a combination of the above three elements, and based on the detected sensor values, heat acclimatization expectations corresponding to the training condition of the training person. Estimate the value and notify the estimation result. According to this method, the training state evaluation system 1000 is considered to be able to estimate the expected heat acclimatization value without particularly considering the above three factors.

The method of expressing expected heat acclimatization values can be adjusted as appropriate. In this embodiment, the expected heat acclimation value is basically expressed by whether or not heat acclimation can be expected. In other words, in this embodiment, the training state evaluation system 1000 notifies the evaluation result of whether or not the training state of the person performing the training is such that acclimatization to the heat can be expected. Users who use the training status evaluation system 1000 include, in addition to the training implementer, an administrator who manages the training performed by the training implementer. Hereinafter, the person implementing the training will be referred to as the "user" and the administrator will be referred to as the "administrator".

As shown in FIG. 1, the training state evaluation system 1000 includes a processing device 100, a notification device 200, and a monitoring device 300. The processing device 100, the notification device 200, and the monitoring device 300 are interconnected via a communication network 700. The communication network 700 is, for example, a wireless communication network compatible with standards such as Bluetooth (registered trademark) and Wi-Fi (registered trademark).

The processing device 100 is a device that acquires sensor values, evaluates training conditions, and notifies evaluation results. The processing device 100 is held by the person performing the training. In this embodiment, the person conducting the training is a firefighter wearing fireproof clothing. Fire protection clothing is a type of protective clothing that has a higher heat shielding effect than ordinary clothing. As fireproof clothing, for example, it is preferable that the time it takes for the temperature to rise to 24°C (HTI24) is 3 seconds or more when the fabric of the fireproof clothing is exposed to a specified flame by a method compliant with ISO 9151. be. Details of fire protection clothing are described in detail in, for example, JP 2014-091307, A, JP 2011-106069, JP 2010-255124, WO 2019/026439, and the like.

As shown in FIG. 1, the processing device 100 includes a processor 11, a flash memory 12, a communication interface 13, a touch screen 14, a temperature sensor 15, and an acceleration sensor 16. Processor 11 controls the overall operation of processing device 100 . The processor 11 includes, for example, a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and an RTC (Real Time Clock).

Flash memory 12 stores various information. For example, the flash memory 12 stores a program executed by the processor 11 and data obtained by executing the program. The communication interface 13 communicates with each of the notification device 200 and the monitoring device 300 via the communication network 700 under the control of the processor 11 . Touch screen 14 is a user interface for processing device 100. For example, the touch screen 14 presents various information to the user and receives various operations from the user.

The temperature sensor 15 is a sensor that measures the ambient temperature. Temperature sensor 15 is placed inside clothing, for example, and measures the temperature inside the clothing. It is preferable that the temperature sensor 15 has a measurement accuracy of about 0.1° C., for example. The temperature sensor 15 supplies information indicating the measured temperature inside the clothes (hereinafter referred to as "temperature information" as appropriate) to the processor 11. The temperature sensor 15 is, for example, a mercury thermometer, an alcohol thermometer, a thermistor thermometer, an infrared thermometer, a resistance temperature sensor, or a CMOS (Complementary Metal Oxide Semiconductor) temperature sensor.

The acceleration sensor 16 is a sensor that measures acceleration applied to the acceleration sensor 16. The acceleration sensor 16 is attached to the user or clothing, and measures the acceleration applied to the user, that is, the acceleration generated in the acceleration sensor 16 due to the user's movements. It is assumed that the acceleration sensor 16 is an acceleration sensor that measures acceleration in three axes: XYZ axes. The acceleration sensor 16 supplies information indicating X-axis acceleration, Y-axis acceleration, and Z-axis acceleration (hereinafter referred to as "acceleration information" as appropriate) to the processor 11. The acceleration sensor 16 is, for example, a semiconductor type acceleration sensor, a mechanical displacement measurement type acceleration sensor, or an optical type acceleration sensor. The semiconductor acceleration sensor is an acceleration sensor using MEMS (Micro Electro Mechanical Systems) technology, and includes, for example, a capacitance type acceleration sensor, a piezoresistive type acceleration sensor, and a gas temperature distribution type acceleration sensor.

The notification device 200 is a device that notifies a user of various information under the control of the processing device 100. For example, the notification device 200 reports the evaluation result of the training state. The evaluation results of the training state include the evaluation results of whether the training state is a training state in which heat acclimatization can be expected, as well as the evaluation results of whether the training state is a training state that does not pose safety problems. include.

As shown in FIG. 1, the notification device 200 includes, for example, a processor 21, a communication interface 22, a buzzer 23, an LED (Light Emitting Diode) 24, and a motor 25. Processor 21 controls the overall operation of notification device 200. The processor 21 includes, for example, a CPU, ROM, RAM, and RTC. Communication interface 22 communicates with processing device 100 via communication network 700 under the control of processor 21 .

The buzzer 23 performs sound notification under the control of the processor 21. The buzzer 23 includes, for example, an electromagnet and a diaphragm, and emits an alarm sound in accordance with an electric signal supplied from the processor 21. The LED 24 performs light notification under the control of the processor 21. For example, the LED 24 emits light in accordance with an electrical signal supplied from the processor 21. For example, the LED 24 emits light in a light emission pattern depending on the content of the notification. Note that the notification device 200 may include LEDs 24 of different colors. In this case, it is preferable that the LED 24 emits light in a color corresponding to the content of the notification. The motor 25 performs vibration-based notification under the control of the processor 21 . The motor 25 is, for example, a vibration motor including an electromagnet and a diaphragm, and vibrates in accordance with an electric signal supplied from the processor 21.

The monitoring device 300 is a device for an administrator to monitor the training status of a training person. For example, based on the information received from the processing device 100, the monitoring device 300 evaluates whether the training state is a training state in which heat acclimatization can be expected, or whether the training state poses a safety problem. It notifies the user of the evaluation result of whether or not the user is in a training state.

As shown in FIG. 1, the monitoring device 300 includes, for example, a processor 31, a hard disk 32, a communication interface 33, and a touch screen 34. Processor 31 controls the overall operation of monitoring device 300. The processor 31 includes, for example, a CPU, ROM, RAM, and RTC. The hard disk 32 stores various information. For example, the hard disk 32 stores a program executed by the processor 31 and data obtained by executing the program.

Communication interface 33 communicates with processing device 100 via communication network 700 under the control of processor 31 . Touch screen 34 is the user interface of monitoring device 300. For example, the touch screen 34 presents various information to the user and receives various operations from the user.

The processing device 100 and the notification device 200 are maintained by the person conducting the training. On the other hand, the monitoring device 300 is used by an administrator. Hereinafter, an example of the arrangement of the processing device 100 and the notification device 200 will be described with reference to FIG. 2.

FIG. 2 is a diagram showing how the processing device 100 and the notification device 200 are attached to clothing 500 worn by a training person during training. FIG. 2 shows an example in which a garment 500 includes a lining 510 and an outer material 520, and has a space 530 between the lining 510 and the outer material 520. By having the space 530, the clothing 500 has a space 540 that is the space inside the clothing 500 (the space between the clothing 500 and the underwear 600 worn by the user), and a space 550 that is the space outside the clothing 500. This improves the insulation between the two. Further, the outer material 520 is made of a material with high heat insulation properties.

The lining material 510 is provided with an inner pocket 511, and the outer material 520 is provided with an outer pocket 521. The processing device 100 is preferably housed in the inner pocket 511 so that the temperature sensor 15 can measure the temperature inside the clothes, for example. The temperature inside the garment is essentially the temperature of the space 540, which is the space between the user and the garment 500 worn by the user. It is preferable that the notification device 200 is stored in the outer pocket 521 so that the user can easily receive a warning from the buzzer 23 and the LED 24, for example.

Next, with reference to FIG. 3, the functions of the training state evaluation system 1000 according to this embodiment will be described. As shown in FIG. 3, the training state evaluation system 1000 functionally includes a temperature measurement section 101, an acceleration detection section 102, a core body temperature acquisition section 103A including a core body temperature estimation section 103, and a training state evaluation section 104. , an evaluation result notification section 105 , an exercise intensity calculation section 106 , a first alarm section 107 , and a second alarm section 108 .

The temperature measuring means corresponds to the temperature measuring section 101, for example. The acceleration detection means corresponds to, for example, the acceleration detection section 102. The core body temperature estimation means corresponds to, for example, the core body temperature estimation unit 103. The core body temperature acquisition means corresponds to, for example, the core body temperature acquisition unit 103A. The training state evaluation means corresponds to the training state evaluation section 104, for example. The evaluation result notification means corresponds to, for example, the evaluation result notification unit 105. The exercise intensity calculation means corresponds to, for example, the exercise intensity calculation unit 106. The first alarm means corresponds to, for example, the first alarm section 107. The second alarm means corresponds to, for example, the second alarm section 108.

The temperature measurement unit 101 measures the temperature inside the clothes 500 worn by the user who performs heat acclimatization training. The temperature measurement unit 101 measures the temperature inside the clothes, for example, every 10 seconds. The function of the temperature measuring section 101 is realized by the temperature sensor 15, for example. The acceleration detection unit 102 detects acceleration applied to the user. The acceleration detection unit 102 measures acceleration at a period of, for example, 0.05 seconds. The function of the acceleration detection unit 102 is realized by, for example, the acceleration sensor 16.

The core body temperature acquisition unit 103A acquires, by estimation or measurement, the core body temperature, which is the internal temperature of the user who performs heat acclimatization training. The core body temperature estimation unit 103 included in the core body temperature acquisition unit 103A calculates the core body temperature, which is the temperature inside the user's body, based on the temperature inside the clothes measured by the temperature measurement unit 101 and the acceleration detected by the acceleration detection unit 102. presume. Core body temperature is the temperature inside the user's body. Core body temperature can be an indicator of heat stress felt by the human body, including heatstroke. If training maintains a high core body temperature, acclimatization to the heat can be expected. The method by which the core body temperature estimation unit 103 estimates the core body temperature from the temperature inside the clothing and the acceleration can be adjusted as appropriate.

For example, the core body temperature estimating unit 103 estimates the amount of heat generated by the user's movement (hereinafter referred to as "heat production") from the detected acceleration, and performs a mathematical calculation using the estimated heat production and the detected temperature inside the clothes. The model can be used to estimate core body temperature. This mathematical model is a mathematical model that shows the correspondence between the temperature inside clothing, the amount of heat production, and the core body temperature. This mathematical model is expressed, for example, as a simultaneous differential equation including six equations from equation (1) to equation (6) shown below.

dQ1/dt=F0-F1 Formula (1)
dQ2/dt=F1-F2 Formula (2)
F1=(T1-T2)/R1 Formula (3)
F2=(T2-T3)/R2 Formula (4)
T1=Q1/C1+T10 Formula (5)
T2=Q2/C2+T20 Formula (6)

Equation (1) is an equation that expresses the amount of change in the first amount of heat by the difference between the amount of produced heat and the first heat flow rate. The first amount of heat is the amount of heat that the user's muscles have. The first heat flow is the heat flow supplied from the user's muscles to the user's blood. Q1 is the first amount of heat, and dQ1/dt is the amount of change in the first amount of heat per unit time. The unit time is, for example, 10 seconds. F0 is the amount of heat produced. The amount of heat produced will be described later. F1 is the first heat flow. Equation (1) shows that the amount of change in the amount of heat that a muscle has is defined by the difference between the amount of heat produced, which is the amount of heat that enters the muscle, and the amount of heat that goes out from the muscle to the blood.

Equation (2) is an equation that expresses the amount of change in the second amount of heat as the difference between the first heat flow rate and the second heat flow rate. The second amount of heat is the amount of heat that the user's blood has. The second heat flow is the heat flow supplied from the user's blood to the inside of clothing 500. Q2 is the second amount of heat, and dQ2/dt is the amount of change in the second amount of heat per unit time. F2 is the second heat flow rate. Equation (2) shows that the amount of change in the amount of heat that blood has is defined by the difference between the heat flow that enters the blood from the muscles and the heat flow that exits from the blood to the inside of the clothing 500. .

Equation (3) is an equation that expresses the first heat flow rate as a ratio of the difference between the first temperature change amount and the second temperature change amount with respect to the first thermal resistance value. The first thermal resistance value is a thermal resistance value from the user's muscles to the user's blood, and is a value indicating the difficulty in transmitting heat from the muscles to the blood. The first temperature is the temperature of the user's muscles. The second temperature is the temperature of the user's blood. R1 is a first thermal resistance value. T1 is the amount of change in the first temperature per unit time. T2 is the amount of change in the second temperature per unit time. Equation (3) shows that the heat flow flowing from muscles to blood is defined as the ratio of the difference between the amount of change in muscle temperature and the amount of change in blood temperature, and the difficulty in transmitting heat from muscles to blood. It is shown that. The value of R1 can also be calculated based on a user-specific value. For example, it may be calculated based on user-specific values such as the user's height, weight, maximum oxygen intake, and the like.

Equation (4) is an equation that expresses the second heat flow rate as a ratio of the difference between the amount of change in the second temperature and the amount of change in the temperature inside the clothing with respect to the second thermal resistance value. The second thermal resistance value is a thermal resistance value from the user's blood to the inside of the clothing 500, and is a value indicating the difficulty in transmitting heat from the blood to the inside of the clothing 500. R2 is the second thermal resistance value. T3 is the amount of change in the temperature inside the clothes per unit time. Equation (4) shows that the heat flow flowing from muscles to blood is defined as the ratio of the difference between the amount of change in muscle temperature and the amount of change in blood temperature, and the difficulty in transmitting heat from muscles to blood. It is shown that. R2 can also be varied in response to variations in the value of T2. For example, an initial value of R2 may be set, and the value of R2 may be varied to a different value depending on the degree of increase or decrease of T2 from T20, which is the initial setting value of T2.

Equation (5) is an equation that indicates the amount of change in the first temperature as a ratio of the first amount of heat to the first heat capacity. The first heat capacity is the heat capacity that the user's muscles have. C1 is the first heat capacity. Equation (5) shows that the temperature change in the muscle is defined by the ratio of the heat capacity of the muscle to the amount of heat the muscle has. T10 is the initial setting value of T1. T10 may be determined based on the indicated value of the temperature sensor 15.

Equation (6) is an equation that represents the amount of change in the second temperature as a ratio of the second amount of heat to the second heat capacity. The second heat capacity is the heat capacity of the user's blood. C2 is the second heat capacity. Equation (6) shows that the temperature change of blood is defined by the ratio between the heat capacity of blood and the amount of heat that blood has. T20 is the initial setting value of T2. T20 may be determined based on the indicated value of the temperature sensor 15.

When a heat production amount (F0) is generated in a muscle, a first heat flow rate (F1) flows from the muscle toward the blood at a speed corresponding to the first thermal resistance value (R1), and a second heat flow rate (F1) flows from the muscle to the blood. Heat of the second heat flow rate (F2) flows from the blood toward the inside of the clothing 500 at a speed corresponding to the thermal resistance value (R2). Here, the second temperature is estimated based on the amount of heat production and the temperature inside the clothes, and the second temperature is estimated as the core body temperature. That is, in this embodiment, the second temperature, which is the temperature of the user's blood, is considered to be the user's core body temperature.

The amount of heat produced can basically be determined from the user's acceleration during exercise. Specifically, the amount of heat production is determined, for example, from the following four equations (7) to (10).

VM=Σ√(x ² +y ² +z ² ) Equation (7)
VO ₂ =a×VM×b Formula (8)
EE= _VO2 ×BW×c Formula (9)
F0=EE×0.8 Formula (10)

In equation (7), VM indicates the magnitude of the user's acceleration. Strictly speaking, VM indicates the magnitude of cumulative acceleration, which is the cumulative value of acceleration imposed on the user over a unit time. The unit of VM is mG. x is an instantaneous value of acceleration in the x-axis direction. y is an instantaneous value of acceleration in the y-axis direction. z is the instantaneous value of acceleration in the z-axis direction. VM is calculated based on acceleration information supplied from the acceleration sensor 16 to the processor 11.

Specifically, VM is obtained by accumulating instantaneous values of acceleration indicated by acceleration information acquired at every predetermined sampling period (for example, 0.05 seconds) over a unit time. Note that gravitational acceleration is not considered to affect oxygen consumption or heat production. Therefore, the instantaneous value of acceleration mentioned above is a value excluding gravitational acceleration. For example, when the z-axis direction is a vertical direction, a value obtained by excluding gravitational acceleration from the instantaneous value of acceleration in the z-axis direction is adopted as z in equation (7).

In equation (8), VO ₂ is the oxygen consumption per unit time (eg, 1 min) and unit body weight (eg, 1 kg). The unit of _VO2 is mL/kg/min. a is a coefficient. The value of a may be varied depending on the value of VM. For example, an initial value of a and a threshold value of VM may be set, and when the value of VM exceeds the threshold value, the value of a may be changed to a value different from the initial value. b is a coefficient. The value of b can also be calculated based on the clothes and equipment worn by the user. For example, the value of b may be calculated based on the weight of clothes worn by the user or the weight of equipment, which is the weight of equipment.

In equation (9), EE indicates total energy consumption. The unit of EE is kcal/min. 4.825 is a predetermined constant, and the unit is kcal/L. BW is body weight. The unit of BW is kg. 1000 is a predetermined constant, and the unit is mL/L. c is a coefficient. The value of c may be varied depending on the value of VM. For example, an initial value of c and a threshold value of VM may be set, and when the value of VM exceeds the threshold value, the value of c may be changed to a value different from the initial value. Further, the value of c to be varied can also be calculated based on a user-specific value. For example, it may be calculated based on user-specific values such as the user's height, weight, maximum oxygen intake, and the like.

In equation (10), F0 is the amount of heat produced per unit time. The unit of F0 is kcal/min. 0.8 is a predetermined constant. 0.8 indicates that of the total energy consumption, 20% is consumed by exercise and 80% is converted into heat.

A method for determining the amount of heat production and core body temperature is described in detail in, for example, International Publication No. 2019/026439. However, in this embodiment, it is assumed that there is no movement amount of the user in the height direction, and the amount of heat production is calculated only from the user's acceleration. The functions of the core body temperature estimating unit 103 are realized, for example, by the processor 11 executing a program stored in the flash memory 12.

The training state evaluation unit 104 evaluates the user's training state based on the core body temperature estimated by the core body temperature estimation unit 103. The functions of the core body temperature estimating unit 103 are realized, for example, by the processor 11 executing a program stored in the flash memory 12. For example, if the total amount of time during which the core body temperature estimated by the core body temperature estimating unit 103 is maintained at or above the first temperature threshold exceeds a time threshold, the training state evaluation unit 104 determines that the training state of the user has changed to heat acclimatization. Evaluate that the training condition is suitable.

It is desirable that the first temperature threshold is a temperature of about 38°C. The first temperature threshold is preferably a temperature in a range of 37.5°C to 38.5°C, more preferably a temperature in a range of 37.5°C to 38.0°C, and more preferably 38°C. is considered particularly desirable. It is desirable that the time threshold is approximately 20 minutes. Preferably, the time threshold is a time in the range of 15 minutes to 30 minutes, more preferably in the range of 20 minutes to 30 minutes, and most preferably 20 minutes. The functions of the training state evaluation unit 104 are realized, for example, by the processor 11 executing a program stored in the flash memory 12.

The evaluation result notification unit 105 reports the evaluation result by the training state evaluation unit 104. For example, the evaluation result notification unit 105 may provide an evaluation result as to whether or not the user's training state is suitable for heat acclimation, or how suitable the user's training state is for heat acclimatization. The results of the evaluation will be notified by sound, light, vibration, etc. The function of the evaluation result notification unit 105 may be realized by, for example, the processor 21 and the buzzer 23 working together, the processor 21 and the LED 24 working together, or the processor 21 and the LED 24 working together. This may be realized by cooperation of the motor 25 and the motor 25. Alternatively, the functions of the evaluation result notification unit 105 may be realized by, for example, the processor 11 and the touch screen 14 working together. Alternatively, the functions of the evaluation result notification unit 105 may be realized by, for example, the processor 31 and the touch screen 34 working together.

The exercise intensity calculation unit 106 calculates the user's exercise intensity. The exercise intensity calculation unit 106 calculates, for example, the ratio of the user's oxygen intake based on the acceleration detected by the acceleration detection unit 102 to the user's maximum oxygen intake as the exercise intensity. Oxygen intake is the amount of oxygen the user is ingesting. Oxygen intake is estimated from acceleration, which indicates the magnitude of the user's movements. A method for estimating oxygen intake from acceleration is described in detail in, for example, Japanese Patent Laid-Open No. 2008-220517.

Maximum oxygen uptake is the maximum value of oxygen uptake, and is the amount of oxygen uptake when exercise intensity is maximum. Maximum oxygen uptake can be determined, for example, from the number of 20 m shuttle runs. It is assumed that information indicating the maximum oxygen uptake is stored in advance in the flash memory 12 or the like. The function of the exercise intensity calculation unit 106 is realized, for example, by the processor 11 executing a program stored in the flash memory 12.

For example, if the exercise intensity calculated by the exercise intensity calculation unit 106 is within the intensity range from the first intensity threshold to the second intensity threshold, the training state evaluation unit 104 determines that the user's training state is suitable for heat acclimatization. Evaluate that it is in a training state. It is desirable that the first intensity threshold value is approximately 50%. Preferably, the first intensity threshold is a percentage in the range of 40% to 60%, more desirably a percentage in the range of 40% to 50%, and particularly desirably 45%. It is desirable that the second intensity threshold value is approximately 70%. Preferably, the second intensity threshold is a percentage in the range of 60% to 80%, more desirably a percentage in the range of 65% to 75%, and particularly desirably 70%.

The first alarm unit 107 issues an alarm when the exercise intensity calculated by the exercise intensity calculation unit 106 is equal to or higher than the third intensity threshold. It is desirable that the third intensity threshold value is approximately 70%. It is believed that the third intensity threshold is preferably a percentage in the range of 60% to 80%, more preferably a percentage in the range of 65% to 75%, and particularly preferably 70%. Note that the third intensity threshold is basically equal to or larger than the second intensity threshold.

The first alarm unit 107 notifies the user that the exercise intensity is too high, for example, by sound, light, vibration, image, or the like. The function of the first alarm unit 107 may be realized by, for example, the processor 21 and the buzzer 23 working together, the processor 21 and the LED 24 working together, or the processor 21 and the LED 24 working together. This may be realized by cooperation of the motor 25 and the motor 25. Alternatively, the function of the first alarm unit 107 may be realized by, for example, the processor 31 and the touch screen 34 working together.

The second alarm unit 108 issues an alarm when the core body temperature estimated by the core body temperature estimation unit 103 is equal to or higher than the third temperature threshold. It is desirable that the third temperature threshold is a temperature of about 39°C. The third temperature threshold is preferably a temperature in a range of 38.5°C to 39.5°C, more preferably a temperature in a range of 38.5°C to 39.0°C, and more preferably 39°C. is considered particularly desirable. The third temperature threshold is basically a higher temperature than the first temperature threshold.

The second alarm unit 108 notifies the user that the core body temperature is too high, for example, by using sound, light, vibration, image, or the like. The function of the second alarm unit 108 may be realized by, for example, the processor 21 and the buzzer 23 working together, the processor 21 and the LED 24 working together, or the processor 21 and the LED 24 working together. This may be realized by cooperation of the motor 25 and the motor 25. Alternatively, the function of the second alarm unit 108 may be realized by, for example, the processor 31 and the touch screen 34 working together.

Next, with reference to FIG. 4, the evaluation process executed by the processing device 100 will be described. The evaluation process is executed, for example, in response to an operation performed on the touch screen 14 included in the processing device 100 to notify the start of training.

First, the processor 11 transmits start notification information to the monitoring device 300 (step S101). For example, the processor 11 controls the communication interface 13 to transmit start notification information to the monitoring device 300. Start notification information is information to notify that training has started. After completing the process of step S101, the processor 11 detects acceleration (step S102). For example, the processor 11 acquires acceleration information from the acceleration sensor 16.

After completing the process of step S102, the processor 11 determines whether the current time is the notification content update time (step S103). The notification content update time is a time at which the notification content should be updated, and is a time that arrives at a predetermined period. In this embodiment, the notification content update time is a time that arrives every 10 seconds. When the processor 11 determines that the current time is not the notification content update time (step S103: NO), the process returns to step S102.

On the other hand, if the processor 11 determines that the current time is the notification content update time (step S103: YES), it detects the temperature inside the clothes (step S104). For example, the processor 11 acquires temperature information from the temperature sensor 15. After completing the process of step S104, the processor 11 calculates the core body temperature (step S105). For example, the processor 11 calculates the amount of heat production from the history of acceleration, and calculates the core body temperature from the change in the amount of heat production and the change in the temperature inside the clothes.

After completing the process of step S105, the processor 11 calculates the exercise intensity (step S106). For example, the processor 11 calculates the current value of oxygen intake from the detected acceleration. Then, the processor 11 calculates the ratio of the current value of oxygen intake to the maximum oxygen intake indicated by the information stored in the flash memory 12 as the exercise intensity. After completing the process of step S106, the processor 11 executes a notification process (step S107). The notification process will be described in detail with reference to FIG. 5.

First, the processor 11 determines whether the core body temperature is 39° C. or higher (step S201). When the processor 11 determines that the core body temperature is 39° C. or higher (step S201: YES), it notifies the user that training should be stopped (step S202). For example, the processor 11 controls the buzzer 23, the LED 24, or the motor 25 via the processor 21 to notify the user by sound, light, or vibration that training should be stopped. Hereinafter, when the processor 11 notifies the user of some information in the notification process, the processor 11 controls the buzzer 23, the LED 24, or the motor 25 to transmit this information by sound, light, or vibration. shall be notified.

After completing the process of step S202, the processor 11 transmits cancellation notification information to the monitoring device 300 (step S203). For example, the processor 11 controls the communication interface 13 to transmit cancellation notification information to the monitoring device 300. The cancellation notification information is information notifying that training has been canceled. When the processor 11 completes the process of step S203, the processor 11 ends the notification process and the evaluation process.

If the processor 11 determines that the core body temperature is not 39° C. or higher (step S201: NO), it determines whether the core body temperature is 38° C. or higher (step S204). When the processor 11 determines that the core body temperature is 38° C. or higher (step S204: YES), it determines whether the core body temperature is 38.5° C. or higher (step S205). When the processor 11 determines that the core body temperature is 38.5° C. or higher (step S205: YES), it notifies the user to refrain from strenuous exercise (step S206).

If the processor 11 determines that the core body temperature is not 38.5° C. or higher (step S205: NO), or if the process of step S206 is completed, the processor 11 notifies that the core body temperature has reached the first temperature threshold. (Step S207). Note that the first temperature threshold is the lowest value of core body temperature at which acclimatization to the heat can be expected when the temperature continues for more than the time threshold. The first temperature threshold is, for example, 38°C.

After completing the process of step S207, the processor 11 increments the count value (step S208). This count value is a value indicating the elapsed time from the time when training was started. In this embodiment, this count value is cleared to 0 when the evaluation process is started, and is cleared every time the calculation time arrives (every 10 seconds) on the condition that the core body temperature is between 38°C and 39°C. ) is counted up by one.

After completing the process of step S208, the processor 11 determines whether the count value is 120 or more (step S209). A count value of 120 or more means that the total time for which the core body temperature is maintained between 38°C and 39°C (hereinafter referred to as "total maintenance time" as appropriate) has reached 20 minutes. . When the processor 11 determines that the count value is 120 or more (step S209: YES), it notifies that the total maintenance time has reached the time threshold (step S210). The time threshold is, for example, 20 minutes.

When the processor 11 determines that the core body temperature is not 38° C. or higher (step S204: NO), when it determines that the count value is not 120 or higher (step S209: NO), or when the process of step S210 is completed, It is determined whether the exercise intensity is 70% or more (step S211). When the processor 11 determines that the exercise intensity is 70% or more (step S211: YES), it notifies the user that the exercise intensity should be reduced (step S212).

If the processor 11 determines that the exercise intensity is not 70% or more (step S211: NO), it determines whether the exercise intensity is 45% or more (step S213). When the processor 11 determines that the exercise intensity is 45% or more (step S213: YES), it notifies that the exercise intensity is appropriate (step S214). If the processor 11 determines that the exercise intensity is not 45% or more (step S213: NO), it notifies the user that the exercise intensity should be increased (step S215). When the processor 11 completes the processing in step S212, step S214, or step S215, the processor 11 completes the notification processing.

When the processor 11 completes the notification process in step S107, it transmits sensor values and the like to the monitoring device 300 (step S108). The sensor value etc. is a concept that includes a sensor value, a calculated value, and notification information. The sensor values are, for example, a history of acceleration for 10 seconds and a value of temperature inside the clothes. The calculated values are, for example, values such as core body temperature and exercise intensity. The notification information is, for example, information notified to the user in step S206, step S207, step S210, step S212, step S214, and step S215.

After completing the process of step S108, the processor 11 determines whether it is the training end time (step S109). The training end time is, for example, the time when a predetermined training time (for example, 40 minutes) has elapsed from the training start time. When the processor 11 determines that it is not the training end time (step S109: NO), the process returns to step S102.

When the processor 11 determines that it is the training end time (step S109: YES), it notifies that the training has ended (step S110). When the processor 11 completes the process of step S110, it transmits completion notification information to the monitoring device 300 (step S111). The end notification information is information that notifies the user that training has ended. When the processor 11 completes the process of step S111, the processor 11 ends the evaluation process.

Next, with reference to FIG. 6, a screen display process executed by the monitoring device 300 will be described. The screen display process is executed, for example, in response to power on of the monitoring device 300. The screen display process is a process of evaluating the training states of a plurality of users, each of whom has one processing device, and notifying the evaluation results all at once. The following description will focus mainly on processing for one processing device 100 and one user.

First, the processor 31 determines whether start notification information has been received from the processing device 100 (step S301). For example, the processor 31 determines whether the communication interface 33 has received start notification information from any of the processing devices 100. When the processor 31 determines that the start notification information has been received from the processing device 100 (step S301: YES), it presents an evaluation result presentation screen (step S302). The processor 31 generates an evaluation result presentation screen based on the sensor values etc. received from the processing device 100, and displays the generated evaluation result presentation screen on the touch screen 34. Note that until the monitoring device 300 receives sensor values and the like from the processing device 100, the monitoring device 300 displays the initial screen of the evaluation result presentation screen.

After completing the process of step S302, the processor 31 determines whether sensor values and the like have been received from the processing device 100 (step S303). As mentioned above, the sensor value etc. is a concept that includes a sensor value, a calculated value, and notification information. When the processor 31 determines that the sensor value and the like have not been received from the processing device 100 (step S303: NO), the process returns to step S302.

When the processor 31 determines that the sensor value and the like have been received from the processing device 100 (step S303: YES), the processor 31 updates the evaluation result presentation screen based on the sensor value and the like (step S304). The evaluation result presentation screen 810 will be described below with reference to FIG.

The evaluation result presentation screen 810 shows that five users are currently undergoing training. The evaluation result presentation screen 810 is a screen that presents training status and evaluation results for each user. The evaluation result is an evaluation result for the training state. For example, the evaluation result presentation screen 810 displays the user, training evaluation, exercise intensity, intensity evaluation, core body temperature, and elapsed time in association with each other.

The user is a person who performs training and is a user who holds the processing device 100. The user is, for example, a firefighter. The training evaluation is an evaluation of the training state, and can also be said to be advice to the user. The training evaluation corresponds to, for example, a determination result as to whether the exercise intensity and core body temperature are within a predetermined appropriate range. The appropriate range of exercise intensity is, for example, from 45% to 70%. The appropriate range of core body temperature is, for example, from 37.5°C to 38.5°C. If the current values for both exercise intensity and core body temperature fall within appropriate ranges, an evaluation such as "Let's do our best at that pace" is displayed, for example.

If the exercise intensity is below the appropriate range, an evaluation such as "Let's try a little harder" is displayed, for example. If the exercise intensity exceeds the appropriate range, an evaluation such as "Let's lower the intensity a little" is displayed, for example. If your core body temperature exceeds the appropriate range, an evaluation will be displayed that says, ``Continue your training with caution,'' for example.

If any of the exercise intensity and core body temperature is outside the appropriate range, the evaluation corresponding to the outside of the appropriate range is displayed with priority. Additionally, if there are multiple items that are outside the appropriate range, an evaluation will be displayed based on the priority of exercise intensity and core body temperature. This is because exercise intensity is the easiest to adjust by adjusting the amount of exercise by the user, and core body temperature is the most difficult to adjust by adjusting the amount of exercise by the user. Furthermore, if the period during which the core body temperature is within the appropriate range exceeds 15 minutes, an evaluation of "You did your best" will be prioritized and displayed.

The exercise intensity is the current value of the user's exercise intensity. The intensity evaluation is an evaluation of the current value of the user's exercise intensity. Core body temperature is the current value of the user's core body temperature. The elapsed time is the elapsed time from the training start time to the current time. The exercise intensity, core body temperature, and elapsed time correspond to the training state. Training evaluation and strength evaluation correspond to evaluation results. Note that when the training state is highlighted, it can also be said that the evaluation result for the training state is displayed. For example, on the evaluation result presentation screen 810, the core body temperature of member C is 39.6° C., which is highlighted. This highlighted display can be said to be a display of the evaluation result for the training state.

After completing the process in step S304, the processor 31 stores the sensor values and the like (step S305). For example, the processor 31 stores information indicating sensor values and the like received from the processing device 100 in the hard disk 32. After completing the process of step S305, the processor 31 determines whether or not completion notification information has been received from the processing device 100 (step S306). For example, the processor 31 determines whether the communication interface 33 has received completion notification information from all the processing devices 100.

When the processor 31 determines that the end notification information has not been received from the processing device 100 (step S306: NO), the process returns to step S302. When the processor 31 determines that the end notification information has been received from the processing device 100 (step S306: YES), the process returns to step S301.

In this embodiment, the evaluation result of the user's training status is reported to both the user and the administrator. Therefore, according to the present embodiment, the user can adjust the exercise intensity in consideration of the notified information. Note that in this embodiment, basically, the processing device 100 can independently execute processing for notification. Therefore, even if communication between the processing device 100 and the monitoring device 300 is interrupted, the processing device 100 can notify the user. Further, according to the present embodiment, the administrator can give advice to the user or change the training menu to be executed later, taking into account the notified information.

Furthermore, in the present embodiment, if the total amount of time during which the core body temperature is maintained at or above the first temperature threshold exceeds the time threshold, the training state is evaluated to be training suitable for heat acclimatization. Therefore, the user can refer to this evaluation and adjust the content of the training to the extent that acclimatization to the heat can be achieved. For example, in order to obtain the minimum level of heat acclimatization, the user can train hard until this evaluation is obtained, or reduce the intensity of exercise after this evaluation is obtained.

In addition, it is desirable that the first temperature threshold is about 38°C and the time threshold is about 20 minutes. In other words, when the core body temperature remains at about 38°C or more for about 20 minutes or more, sufficient heat is detected. The fact that acclimatization can be obtained has been verified through various experiments. Furthermore, it is considered unfavorable for safety to have a core body temperature that is too high, for example, a core body temperature that exceeds 39°C. On the other hand, if the core body temperature is low, for example, if the core body temperature is less than 37.5°C, it is considered that acclimation to the heat cannot be expected much. Further, if the total maintenance time is too long, for example, if the total maintenance time is one hour or more, not only does it not contribute much to further acquisition of heat acclimatization, but it is also considered to be unfavorable from a safety standpoint. Further, if the total maintenance time is too short, for example, if the total maintenance time is about 5 minutes, it is considered that sufficient acclimation to the heat cannot be obtained.

Furthermore, in this embodiment, when the temperature inside the clothing is equal to or higher than the second temperature threshold, the training state is evaluated to be training suitable for heat acclimatization. Therefore, the user is motivated to select the location, time of day, weather, clothing, etc. to carry out the training so that the temperature inside the clothes is as much as possible equal to or higher than the second temperature threshold, with reference to this evaluation. be able to. Note that the second temperature threshold is about 30° C., as described above.

Furthermore, in the present embodiment, when the exercise intensity is within the intensity range from the first intensity threshold to the second intensity threshold, the training state is evaluated as training suitable for heat acclimatization. Therefore, the user can refer to this evaluation and adjust the content of the training to the extent that acclimatization to the heat can be achieved. Note that, as described above, the first intensity threshold is about 50%, and the second intensity threshold is about 80%.

Furthermore, in this embodiment, when the exercise intensity is equal to or higher than the third intensity threshold, an alarm is issued. Therefore, it is possible to prevent the user from exercising too strenuously in order to acclimatize to the heat. Furthermore, in this embodiment, an alarm is issued when the core body temperature is equal to or higher than the third temperature threshold. Therefore, it is possible to prevent the user from raising his body temperature too much in order to acclimatize to the heat. Note that, as described above, the third intensity threshold is about 70%, and the third temperature threshold is about 39°C.

(Embodiment 2)
In the first embodiment, the core body temperature estimation unit 103 estimates the core body temperature, which is the temperature inside the user's body, based on the temperature inside the clothes measured by the temperature measurement unit 101 and the acceleration detected by the acceleration detection unit 102. An example was explained. In this embodiment, an example will be described in which the core body temperature estimating unit 103 measures the core body temperature based on the eardrum temperature. Hereinafter, configurations that are different from Embodiment 1 will be mainly described.

As shown in FIG. 8, the training state evaluation system 1100 according to the present embodiment is functionally equipped with an eardrum temperature measurement section 109, and a core body temperature estimation section 103 included in the core body temperature acquisition section 103A. This differs from the training state evaluation system 1000 according to the first embodiment in that the core body temperature is calculated based on the training condition evaluation system 1000 according to the first embodiment.

The eardrum temperature measurement unit 109 measures the user's eardrum temperature. The function of the eardrum temperature measurement unit 109 is realized by, for example, a eardrum thermometer built into the processing device 100 or a eardrum thermometer communicably connected to the processing device 100. The core body temperature estimating unit 103 calculates the core body temperature based on the eardrum temperature measured by the eardrum temperature measuring unit 109. For example, the core body temperature estimating unit 103 calculates the core body temperature from the eardrum temperature based on a calculation formula, a correspondence table, etc. that indicates the correspondence between the eardrum temperature and the core body temperature. Specifically, for example, the core body temperature estimation unit 103 multiplies the eardrum temperature by a predetermined coefficient, adds a predetermined constant to the eardrum temperature, or multiplies the eardrum temperature by a predetermined coefficient. The core body temperature is calculated by adding a predetermined constant to the value.

In this embodiment, core body temperature is calculated from eardrum temperature. Therefore, according to the present embodiment, the core body temperature used for evaluating the training state can be determined with high accuracy with a small processing load.

(Modified example)
Although the embodiments of the present invention have been described above, various modifications and applications are possible in carrying out the present invention.

In the present invention, it is arbitrary to adopt which part of the configuration, function, and operation described in the above embodiments. Furthermore, in the present invention, in addition to the configurations, functions, and operations described above, further configurations, functions, and operations may be employed. Further, the embodiments described above can be freely combined as appropriate. Furthermore, the number of components described in the embodiments described above can be adjusted as appropriate. Furthermore, it goes without saying that the materials, sizes, electrical characteristics, etc. that can be employed in the present invention are not limited to those shown in the above embodiments.

In the first embodiment, an example has been described in which the processing device 100 executes the calculation process for calculating the core body temperature and exercise intensity and the determination process for determining whether or not to notify various types of information. The calculation process and the discrimination process may be executed by any device as long as they are executed by the training state evaluation system 1000 as a whole. For example, the calculation process and the determination process may be executed by the monitoring device 300. In this case, for example, a sensor value is transmitted from the processing device 100 to the monitoring device 300, and the monitoring device 300 executes a calculation process and a discrimination process from the sensor value. Preferably, the monitoring device 300 transmits the calculated value obtained by the calculation process and the notification information obtained by the discrimination process to the processing device 100. According to such a configuration, the processing device 100 can perform the notification process based on the calculated value and the notification information.

In the first embodiment, an example has been described in which the notification process is executed by both the processing device 100 and the monitoring device 300. The notification process may be executed by either one of the processing device 100 and the monitoring device 300. In the first embodiment, an example in which the evaluation result presentation screen 810 is displayed on the touch screen 34 included in the monitoring device 300 has been described. The evaluation result presentation screen 810 may be displayed on the touch screen 14 included in the processing device 100.

In the first embodiment, an example in which the temperature sensor 15 and the acceleration sensor 16 are incorporated in the processing device 100 has been described. The temperature sensor 15 and the acceleration sensor 16 may be provided outside the processing device 100. In the first embodiment, an example in which the processing device 100 includes the temperature sensor 15 and the acceleration sensor 16 has been described. The processing device 100 may include other sensors for estimating exercise intensity or core body temperature. In the first embodiment, an example in which the processing device 100 and the notification device 200 communicate wirelessly has been described. The processing device 100 and the notification device 200 may communicate by wire.

In the first embodiment, an example has been described in which the user who is the training implementer is a firefighter wearing fireproof clothing. The user who is the training implementer may be a firefighter wearing protective clothing other than fire protection clothing, or may be a person other than a firefighter wearing protective clothing.

In the first embodiment, an example in which the notification content update time arrives every 10 seconds, that is, an example in which the notification content update cycle is 10 seconds, has been described. Of course, the notification content update period is not limited to 10 seconds. For example, the notification content update period may be one minute. Of course, the information notified to the user is not limited to that shown in the first embodiment. For example, on the evaluation result presentation screen shown in FIG. 7, an evaluation result regarding the temperature inside the clothes and whether or not the inside temperature is within the appropriate range may be presented.

As a method for estimating core body temperature or exercise intensity, methods other than those shown in Embodiments 1 and 2 may be employed. For example, in the first embodiment, when estimating the amount of heat production to estimate the core body temperature, an example was described in which the amount of heat production is determined from only the user's acceleration, assuming that there is no movement amount of the user in the height direction. When estimating the amount of heat production, the amount of movement of the user in the height direction may be considered, as described in International Publication No. 2019/026439. In this case, it is preferable that the processing device 100 includes an atmospheric pressure sensor in order to determine the amount of movement of the user in the height direction. In addition, in the first and second embodiments, the core body temperature acquisition section 103A corresponding to the core body temperature acquisition section includes the core body temperature estimation section 103 corresponding to the core body temperature estimation section, that is, the core body temperature acquisition section estimates the core body temperature by estimation. An example of how to obtain it has been explained. The core body temperature acquisition means may acquire the core body temperature by measurement. For example, if the temperature sensor 15 can directly measure core body temperature, this temperature sensor 15 corresponds to core body temperature acquisition means.

11, 21, 31 processor, 12 flash memory, 13, 22, 33 communication interface, 14, 34 touch screen, 15 temperature sensor, 16 acceleration sensor, 23 buzzer, 24 LED, 25 motor, 32 hard disk, 100 processing unit, 101 temperature measurement section, 102 acceleration detection section, 103 core body temperature estimation section, 103A core body temperature acquisition section, 104 training condition evaluation section, 105 evaluation result notification section, 106 exercise intensity calculation section, 107 first alarm section, 108 second alarm section , 109 eardrum temperature measurement unit, 200 notification device, 300 monitoring device, 500 clothing, 510 lining, 511 inner pocket, 520 outer material, 521 outer pocket, 530, 540, 550 space, 600 underwear, 700 communication network, 810 evaluation result presentation Screen, 1000, 1100 Training status evaluation system

Claims (8)

A core body temperature acquisition means that acquires by estimating or measuring the core body temperature, which is the internal body temperature of a user who performs training for heat acclimatization;
Training state evaluation means for evaluating the training state of the user based on the deep body temperature acquired by the deep body temperature acquisition means;
an evaluation result notifying means for notifying the evaluation result by the training state evaluation means ,
The training state evaluation means determines that the training state of the user is heat acclimatization when the total time during which the core body temperature acquired by the core body temperature acquisition means is maintained at a first temperature threshold or higher exceeds a time threshold. Evaluate that the training condition is suitable,
Training status evaluation system used for firefighting workers. The first temperature threshold is a temperature within a range of 37.5°C to 38.5°C, and the time threshold is a time within a range of 15 minutes to 30 minutes.
The training condition evaluation system according to claim 1. the first temperature threshold is 38° C. and the time threshold is 20 minutes;
The training condition evaluation system according to claim 2. Temperature measuring means for measuring the temperature inside the clothes, which is the temperature inside the clothes worn by the user;
Further comprising: acceleration detection means for detecting acceleration applied to the user,
The deep body temperature acquisition means includes:
a core body temperature estimating means for estimating the core body temperature based on the temperature inside the clothing measured by the temperature measurement means and the acceleration detected by the acceleration detection means;
The training condition evaluation system according to any one of claims 1 to 3 . Further comprising exercise intensity calculation means for calculating the exercise intensity of the user,
The training state evaluation means determines that the training state of the user is suitable for heat acclimatization when the exercise intensity calculated by the exercise intensity calculation means is within an intensity range from a first intensity threshold to a second intensity threshold. Evaluate that it is in a training state,
The training state evaluation system according to any one of claims 1 to 4 . further comprising a first alarm means that issues an alarm when the exercise intensity calculated by the exercise intensity calculation means is equal to or higher than a third intensity threshold;
The training condition evaluation system according to claim 5 . Further comprising acceleration detection means for detecting acceleration applied to the user,
The exercise intensity calculation means calculates, as the exercise intensity, a ratio of the user's oxygen intake based on the acceleration detected by the acceleration detection means to the user's maximum oxygen intake.
The training condition evaluation system according to claim 5 or 6 . further comprising a second alarm means that issues an alarm when the core body temperature acquired by the core body temperature acquisition means is equal to or higher than a third temperature threshold;
The training condition evaluation system according to any one of claims 1 to 7 .

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