JP4922447B2 - Heat stroke detection system - Google Patents

Description

The present invention relates to heat stroke detection system for detecting a heat stroke in a subject (such as operator) in the work area.

  Conventionally, for example, workers in nuclear power plants wear rugged protective clothing to protect themselves from radiation and the like. For this reason, the worker tends to get heat stroke due to heat and moisture trapped in the protective clothing during the work.

  Here, heat stroke refers to symptoms of adaptation disorder of the body that occurs in a hot and humid environment. In the early stages of heat stroke, symptoms such as muscle spasm and dizziness appear. As heat stroke progresses, symptoms such as intense fatigue, headache, vomiting, and diarrhea occur. If heat stroke progresses further, symptoms such as high fever, disturbance of consciousness, and internal organs such as liver and kidneys will occur. In other words, heat stroke is a dangerous symptom that can lead to death. In addition, heat stroke is difficult to be noticed by the person himself / herself, or it is still easy to judge that the person himself / herself is ok, so if the symptoms are not pointed out by the device or others, the symptom progresses and is dangerous. There is also.

  As a countermeasure against heat stroke of the worker, for example, there is a system in which a monitoring terminal including a sensor, a CPU (Central Processing Unit), a wireless module, a memory, and the like is attached to the worker's protective clothing (see Patent Document 1). In this system, information such as a worker's body temperature and heart rate acquired by a sensor is wirelessly transmitted to a management device, which is a remote external computer, at regular intervals. Then, an abnormality determination is performed on the management device side, and in the case of an abnormality, the administrator gives an instruction to the worker to take a break or evacuate via the monitoring terminal. As a result, the manager can monitor the danger of heat stroke of the worker in real time, and by notifying the worker of the information, the danger of heat stroke can be avoided. You can remove the harmful effects.

JP 2009-108451 A

  However, in the above-described conventional technology, the manager (external computer) wirelessly transmits information such as the temperature of the worker acquired by the sensor from the monitoring terminal to the external computer in order to monitor the danger of heat stroke of the worker in real time. However, since it is assumed that an abnormality is detected by an external computer, if wireless transmission is not possible due to the presence of some kind of shielding, it is necessary to reliably detect and respond to an abnormality of the worker such as heat stroke. There is a possibility that it is not possible.

Therefore, the present invention has been made to solve the above-described problem, and is a heat stroke in which heat stroke of a plurality of subjects in a work area is managed using a management device installed outside the work area . In the detection system, it is an object to reliably detect the heat stroke of the subject by reliably detecting the heat stroke of the subject and notifying the subject of the heat stroke .

In order to solve the above problems, the present invention provides a heat stroke detection system in which heat stroke of a plurality of subjects in a work area is managed by a management device outside the work area. A plurality of heat stroke detection devices that are held one by one by each of the plurality of subjects in a work area and detect heat stroke of the subjects, and wirelessly communicate with the plurality of heat stroke detection devices. The threshold value relating to the subject's biological information for detecting heat stroke, the transmission cycle that is a cycle related to transmission, and the determination cycle that is a cycle related to the determination of heat stroke of the subject are transmitted to the heat stroke detection device A management device.
The heat stroke detection device notifies the subject of heat stroke, a sensor that acquires biological information of the subject, storage means that stores the threshold value, the transmission cycle, and the determination cycle received from the management device. The biometric information of the subject is acquired from the sensor at the determination cycle, and the biological information is acquired from the sensor while transmitting the acquired biological information to the management device at the transmission cycle. The biological information is determined whether or not the threshold is exceeded, and if the threshold is exceeded, the management device is notified of the heat stroke of the subject and the heat stroke notification means And a processing means for notifying the subject of heat stroke.
Other means will be described later.

According to the present invention, in the heat stroke detection system using the management device for managing the subject in the work area , by reliably detecting the heat stroke of the subject, and notifying the subject of the heat stroke , It is possible to reliably cope with the heat stroke of the subject.

It is a whole lineblock diagram showing the abnormality detection system of this embodiment. It is a block block diagram of the abnormality detection apparatus of this embodiment. It is a figure containing the block block diagram of the management apparatus of this embodiment. It is a figure which shows the example of the data memorize | stored in the memory | storage part of the management apparatus of this embodiment. It is a graph which shows the mode of a worker's body temperature rise. It is a figure which shows the example of the screen displayed on the display part of the abnormality detection apparatus of this embodiment. It is a figure which shows the example of the screen displayed on the display part of the management apparatus of this embodiment. It is a flowchart which shows the flow of the process by the abnormality detection system of this embodiment.

Hereinafter, an abnormality detection system according to a mode for carrying out the present invention (hereinafter referred to as an embodiment) will be described with reference to the drawings (refer to drawings other than the referenced drawings as appropriate).
As shown in FIG. 1, the abnormality detection system S includes protective clothing of workers 1 a, 1 b, 1 c (1) (hereinafter simply referred to as “worker 1” unless otherwise distinguished) (target person). The abnormality detection devices 2a, 2b, 2c (2) (hereinafter simply referred to as “abnormality detection device 2” unless otherwise specified), the repeater 3, the transmitter / receiver 4, and the transmitter / receiver 4 are stored in the chest pocket. A management apparatus 5 connected by wire is provided.

  The worker 1 performs a predetermined work in the work area E of the nuclear facility building 6 that is one of the buildings in the nuclear power plant. The work area E is a radiation control area. The physical condition of the worker in the work area E is monitored and managed by the management device 5 installed outside the management area. In the work area E, the repeater 3, the transceiver 4, the equipment 7, the wall 8, the pillar 9, and the like are arranged. Note that the facility 7, the wall 8, and the pillar 9 can be obstacles when the abnormality detection device 2 performs wireless communication with the repeater 3 and the transceiver 4.

The repeater 3 is a device that wirelessly transmits a wireless signal received from the abnormality detection device 2 to the transmitter / receiver 4 and wirelessly transmits a wireless signal received from the transmitter / receiver 4 to the abnormality detection device 2.
The transmitter / receiver 4 is a device that wire-transmits the wireless signal received from the relay device 3 to the management device 5 provided outside the work area E, or wirelessly transmits the wire signal received from the management device 5 to the relay device 3. It is.

  Next, the configuration of the abnormality detection device 2 will be described. As shown in FIG. 2, the abnormality detection device 2 includes a heart rate sensor 201, a temperature sensor 202, a humidity sensor 203, an acceleration sensor 204, a CPU 205 (processing means), a buzzer 206 (abnormality notification means), and a small motor 207 (abnormality notification means). ), A wireless module 208, a memory 209 (storage means), an RTC (Real Time Clock) 210, a display unit 211, a battery 212, and a button 213. Hereinafter, the heart rate sensor 201, the temperature sensor 202, the humidity sensor 203, and the acceleration sensor 204 are collectively referred to simply as “sensors”. The data acquired by the sensor is referred to as “sensor data”.

The heart rate sensor 201 is a means (sensor) that measures the heart rate of the worker 1.
The temperature sensor 202 is a means (sensor) that measures the body temperature of the worker 1.
The humidity sensor 203 is a means (sensor) that measures the humidity around the worker 1.
The acceleration sensor 204 is a means (sensor) that measures the acceleration of movement of the worker 1.
In the present specification and claims, “biological information” includes information on the heart rate, body temperature, humidity, and acceleration.

The CPU 205 performs various arithmetic processes using the memory 209 (the contents of the arithmetic processes are described later in FIG. 8).
A buzzer 206 is a means for generating a buzzer sound in response to an instruction from the CPU 205.
The small motor 207 is a means for generating vibration (vibration) in response to an instruction from the CPU 205.

The wireless module 208 is a means for wirelessly communicating with external devices (the repeater 3 and the transceiver 4).
The memory 209 is a storage unit and can be realized by, for example, a RAM (Random Access Memory), a ROM (Read Only Memory), an HDD (Hard Disk Drive), or the like.

The RTC 210 is a means for measuring time, and can be realized by, for example, a dedicated chip, and can operate by receiving power supply from the built-in battery even when the battery 212 is not working.
The display unit 211 is a means for displaying a screen in response to an instruction from the CPU 205, and can be realized by, for example, a liquid crystal display.

The battery 212 is a power supply means and can be realized by, for example, a storage battery.
The button 213 is a means operated (pressed) by the worker 1 (details will be described later).

  Next, the configuration of the management device 5 will be described. As shown in FIG. 3, the management device 5 includes a panel computer 51, a buzzer 52, a memory card 53, an AC (Alternate Current) / DC (Direct Current) converter 54, and a battery 55.

  The panel type computer 51 is a computer in which a processing unit 511 including a CPU, a storage unit 512 including a RAM, a ROM, an HDD, a display unit 513 that is a liquid crystal display with a touch panel, and the like are integrated. The panel type computer 51 allows the operator to perform an intuitive manual operation on the display unit 513.

The buzzer 52 is means for generating a buzzer sound according to an instruction from the panel type computer 51.
The memory card 53 is a detachable storage medium and can be realized by, for example, a flash memory.

The AC / DC converter 54 is means for obtaining a direct current from a commercial alternating current power supply. Thereby, the management apparatus 5 can operate without using the battery 55.
The battery 55 is a power supply means, and can be realized by, for example, a storage battery.

  Next, an example of data stored in the storage unit 512 of the management device 5 will be described. As shown in FIG. 4, the data in the storage unit 512 is composed of seven columns and will be described in order from the left.

“Worker” indicates the identifier of the worker 1.
“Transmission cycle (minute)” indicates a cycle (minute) of transmitting the accumulated sensor data from the abnormality detection device 2 to the management device 5. For example, there are 60 minutes as a long cycle and 1 minute as a short cycle.

  The “determination period (seconds)” is a period (seconds) in which the abnormality detection device 2 periodically collects data by the sensor and stores the data in the memory. This is a cycle (seconds) for determining the abnormality of the. For example, there are 60 seconds as a long cycle and 10 seconds as a short cycle. In the case where the sensor is an acceleration sensor, for example, sensor data may be collected at any time and stored only when a threshold value is exceeded, unlike acquisition of other biological information.

Regarding “body temperature (° C.)”, “steady value” indicates the body temperature of the worker 1 acquired by the temperature sensor 202 when the worker 1 turns on the power of the abnormality detection device 2 before the work.
“Warning level” indicates a first threshold value. Here, the numerical value is obtained by adding 0.8 (° C.) to the steady value.
The “alarm level” indicates a second threshold value that is more severe than the “warning level”. Here, the numerical value of “warning level” is 0.8 (° C.).

  “Humidity threshold (%)” indicates a threshold relating to the humidity around the worker 1. Here, it is uniformly 90% for all workers 1.

Regarding “heart rate (times / minute)”, “steady value” indicates the heart rate of the worker 1 acquired by the heart rate sensor 201 when the worker 1 turns on the power of the abnormality detection device 2 before the work. .
“Warning level” indicates a first threshold value. Here, it is a numerical value obtained by adding 20 (times / minute) to the steady value.
The “alarm level” indicates a second threshold value that is more severe than the “warning level”. Here, a numerical value obtained by adding 20 (times / minute) to the numerical value of “warning level”.

“Acceleration threshold (m / s ² )” indicates a threshold relating to the acceleration of the worker 1. Here, it is uniformly 3 m / s ² for all workers 1.

  Here, the reason why the warning level is provided in addition to the warning level will be described. As shown in FIG. 5, when there is a worker 1 whose steady body temperature is 36.2 (° C.), when the alarm level reaches 37.8 (° C.), the worker 1 has already suffered from heat stroke. May have progressed to some extent. Therefore, by setting and detecting a warning level whose degree of physical abnormality is lighter than the warning level, the state of the body of the worker 1 is grasped at a stage where the progression of heat stroke is small, and then the transmission cycle and the determination cycle It becomes possible to follow the worker 1 appropriately by shortening (details will be described later).

  In addition to the data shown in FIG. 4, all the sensor data transmitted from the abnormality detection device 2 is stored in the storage unit 512 of the management device 5. This is because, in the abnormality detection system S in a nuclear power plant, it is a major premise that the management device 5 accumulates data of the abnormality detection device 2 for the management of the worker 1.

  Next, an example of a screen displayed on the display unit 211 of the abnormality detection device 2 will be described. As shown in FIG. 6 (refer to other figures as appropriate), in the display unit 211, in the display area 2111, the body temperature of the worker 1 (data from the temperature sensor 202) and the humidity around the worker 1 (in the order from the left) Data from the humidity sensor 203), the heart rate of the worker 1 (data from the heart rate sensor 201), the acceleration of the operation of the worker 1 (determination result based on the data from the acceleration sensor 204), and a comprehensive determination (Result) is displayed. Note that “abnormal” items are highlighted with thick frame lines and diagonal lines.

  Whether or not each of the items of body temperature, humidity, heart rate, and acceleration is abnormal can be determined by whether or not each of the predetermined threshold values (including the first threshold value and the second threshold value described above) is exceeded. Regarding the item of “determination”, for example, if any one of body temperature, humidity, heart rate, and acceleration is “abnormal”, it is determined as “abnormal”, and if none is “abnormal”, “normal” Can be determined.

The threshold value of each item may be an absolute value or a relative value. For example, as described above, the absolute value may be set to “90%” for humidity and “3 m / s ² ” for acceleration, as described above. In addition, as a relative value, for example, as described above, if it is body temperature, a numerical value obtained by adding 0.8 (° C.) to a steady value is used as a warning level, and a numerical value obtained by adding 0.8 (° C.). May be set as an alarm level. For example, in the case of a heart rate, a numerical value obtained by adding 20 (times / minute) to a steady value may be used as a warning level, and a numerical value obtained by adding 20 (times / minute) may be used as an alarm level. Thus, if the relative value is set as a threshold, it is possible to reliably detect the risk of heat stroke at an earlier stage, corresponding to individual differences of the worker 1 and daily physical condition fluctuations.

  Those threshold values are transmitted from the management device 5 to the abnormality detection device 2 and stored in the memory 209. In addition, what is necessary is just to perform such a measurement of the steady value for every worker 1 when the power supply of the abnormality detection apparatus 2 is turned on as mentioned above, for example.

  Moreover, you may use a relative threshold value and an absolute threshold value together about one determination item (for example, body temperature). For example, if the body temperature when the power supply of the abnormality detection device 2 is turned on is 38 (° C.), it is preferable to determine that the value is not abnormal, but to determine that it is already abnormal. do it. In that case, the absolute threshold of body temperature may be set to 37 (° C.), for example.

  For example, the item “determination” is determined as “abnormal” when the body temperature is “abnormal”, but may not be determined as “abnormal” even if the humidity is “abnormal” alone. The reason is that if the temperature of the worker 1 is higher than a certain level, it can only be considered that the worker 1 has an abnormality. However, if the humidity is high, for example, the worker 1 sweats, and the worker 1 This is because there may be cases where there is no problem with the health condition of 1.

As for the acceleration, even if the threshold of “3 m / s ² ” is exceeded once, if an ordinary movement of the worker 1 is detected within one minute, for example, it is not determined as “abnormal”. Also good. The reason is that even if a large acceleration has occurred once, for example, it is not due to the collapse caused by the heat stroke of the worker 1, but the worker 1 has just jumped or just stumbled and fallen. This is also possible. That is, if a normal level of movement of the worker 1 is detected within one minute after a large acceleration is generated, for example, it is estimated that there is no abnormality in the worker's 1 body by jumping or stumbling, etc., rather than a fall due to heat stroke. it can.

  In addition, the determination of whether each item is abnormal may be performed on the data change rate (change amount per unit time) in addition to the data change amount as described above. For example, the body temperature may be determined to be abnormal if it rises by 0.5 ° C. or more within 10 minutes regardless of the amount of change. In this case, the threshold value is stored in the memory 209 as a data change rate.

  In the display area 2112, a message for the worker 1 is displayed. In the example of Fig. 6, the body temperature and humidity are high, and the item of "judgment" is "abnormal". In the display area 2112, "<alarm> body temperature and humidity is high and there is a possibility of heat stroke. Is displayed. By looking at this display, the worker 1 can know that there is a possibility of heat stroke, and can take early measures such as interrupting the work or supplying water. The “<alarm>” portion indicates an abnormality exceeding the alarm level. If the abnormality exceeds the warning level, the portion may be displayed as “<warning>”.

  Next, an example of a screen displayed on the display unit 513 of the management apparatus 5 will be described. As shown in FIG. 7, in the display unit 513, information specifying the worker is displayed in the leftmost column as the worker management screen, and in the right column, the display unit 211 (see FIG. 6) is displayed. As with, each item of body temperature, humidity, heart rate, acceleration, and determination is displayed. As in the case of FIG. 6, “abnormal” items are highlighted with thick frame lines and diagonal lines.

Referring also to FIG. 1, since the worker 1a has normal body temperature, humidity, heart rate, and acceleration, the item “determination” is “normal”.
In the worker 1b, the body temperature exceeds the alarm level, the humidity exceeds the threshold value, and the item “determination” is “abnormal”. This is considered to be caused by, for example, the initial symptoms of heat stroke.

  For the worker 1c, since the magnitude of the acceleration exceeds the threshold value and falls, the item “determination” is “abnormal”. For example, it is conceivable that the person has fallen due to heat stroke or due to other causes, and if the worker 1c does not move for a predetermined time (for example, about 1 minute) or more after the fall. Anyway, measures are required.

  If this “judgment” is “abnormal”, it is displayed as “abnormal (warning)” if it is caused by the “warning level” of body temperature or heart rate, and the “alarm level” of body temperature or heart rate. When it is caused, “abnormal (alarm)” may be displayed and distinguished from each other.

  Next, the process flow of the abnormality detection system S will be described. Note that although there are actually a plurality of abnormality detection devices 2, a description will be given here assuming that there is one for simplicity of explanation. As shown in FIG. 8 (refer to other figures as appropriate), first, when the power is turned on by the operator 1 (step S1), the abnormality detection device 2 uses a sensor as a steady-state value before normal work. The sensor data is measured, the sensor data is stored in the memory 209, and transmitted to the management device 5 (step S2). Thereafter, the worker 1 starts work in the work area E.

Next, the processing unit 511 of the management device 5 stores the sensor data received from the abnormality detection device 2 in the storage unit 512.
Next, the processing unit 511 of the management device 5 transmits the transmission cycle, the determination cycle, and each determination threshold stored in the storage unit 512 to the abnormality detection device 2 (step S4). The CPU 205 of the abnormality detection apparatus 2 that has received the transmission period, the determination period, and each determination threshold value stores them in the memory 209.

  Next, the CPU 205 of the abnormality detection device 2 determines whether or not the determination timing has arrived based on a long determination cycle (for example, 60 seconds) (step S5), and if it has arrived (Yes), the process proceeds to step S6. If it has not arrived (No), the process proceeds to step S18.

  In step S <b> 6, the CPU 205 of the abnormality detection device 2 collects sensor data and stores it in the memory 209. At this time, the voltage of the battery 212 may be checked together.

  Next, the CPU 205 of the abnormality detection device 2 determines whether or not the alarm level is equal to or higher than the alarm level based on the sensor data collected in the immediately preceding step S6 (whether or not the item of “determination” is “abnormal (alarm)”. ) (Step S7), if yes, go to step S8, if no, go to step S12.

  In step S8, the CPU 205 of the abnormality detection device 2 notifies the alarm content to one worker (see FIG. 6). Specifically, for example, the operator may be notified of the abnormality by sounding the buzzer 206. At this time, the small motor 207 may be vibrated. If it does so, even if it is a work environment with a big noise etc., the worker 1 can recognize the effect of abnormality by vibration.

  At this time, it is preferable to display a notice of abnormality on the display unit 211 of the abnormality detection device 2 (see FIG. 6). Then, the operator 1 can know which item is abnormal among body temperature, humidity, heart rate, and acceleration by looking at the display unit 211 of the abnormality detection device 2, and appropriately handle the subsequent actions. Can be decided.

  Next, the CPU 205 of the abnormality detection device 2 transmits the alarm content (abnormal signal) to the management device 5 regardless of whether or not the transmission timing by the transmission cycle has arrived (even if No in step S18) ( The process proceeds to step S9) and step S17. When receiving the alarm content (Yes in step S10), the management device 5 stores the alarm content in the storage unit 512 (step S11). If No in step S10, step S11 is skipped. In addition, by displaying what abnormality of which worker 1 is abnormal on the display unit 513 of the management device 5 (see FIG. 7), the administrator who sees it wirelessly contacts the worker 1, or For example, a rescuer can be dispatched to the worker 1 and appropriate measures can be taken.

  In step S12, the CPU 205 of the abnormality detection device 2 determines whether or not the warning level is equal to or higher than the warning level based on the sensor data collected in step S6 (whether or not the item of “determination” is “abnormal (warning)”). In the case of Yes, the process proceeds to step S13, and in the case of No, the process proceeds to step S18.

In step S13, the CPU 205 of the abnormality detection device 2 notifies the warning content to one worker (see FIG. 6). The notification method is the same as in step S8.
Next, the CPU 205 of the abnormality detection device 2 transmits the warning content (abnormal signal) to the management device 5 regardless of whether or not the transmission timing by the transmission cycle has arrived (even if No in step S18) ( The process proceeds to step S14) and step S17. When the management device 5 receives the warning content (Yes in step S15), the management device 5 stores the warning content in the storage unit 512 (step S16). If No in step S15, step S16 is skipped.

  In step S17, the CPU 205 of the abnormality detection device 2 shortens the transmission cycle and the determination cycle. Specifically, for example, the transmission cycle is shortened from 60 minutes to 1 minute, and the determination cycle is shortened from 60 seconds to 10 seconds.

  Next, the CPU 205 of the abnormality detection device 2 determines whether (periodic) transmission timing based on the transmission cycle has arrived based on the transmission cycle (step S18). The transmitted sensor data is transmitted to the management device 5 (step S19), and the process returns to step S5. If not (No), the process returns to step S5. The periodic transmission serves not only to send the sensor data to the management device 5, but also to determine whether the abnormality detection system S has failed. The management device 5 can recognize that there is a failure in the abnormality detection system S if no data is transmitted from the abnormality detection device 2 at the predetermined timing.

  Next, when receiving the sensor data (Yes in Step S20), the management device 5 stores the sensor data in the storage unit 512 (Step S21), and returns to Step S10. If No in step S20, step S21 is skipped.

  As described above, according to the abnormality detection system S of the present embodiment, a physical abnormality such as heat stroke of the worker 1 in the work area E is reliably detected, and the sound of the buzzer 206 or the vibration of the small motor 207 is detected. By notifying the operator of the abnormality, it is possible to reliably cope with the abnormality of the worker 1 body. That is, even in a situation where wireless communication cannot be performed between the abnormality detection device 2 and the management device 5, it is possible to reliably detect an abnormality in the body of the worker 1 and notify the abnormality to one worker.

  In addition to notifying the operator of the abnormality, the abnormality detecting device 2 wirelessly transmits an abnormality (alarm content, warning content) to the remote management device 5 so that the administrator of the management device 5 It is possible to grasp the abnormality and take appropriate measures.

  Further, the threshold value for determining the abnormality of each item is not based on the numerical value common to all the workers 1 but based on the biological information (steady value) of the worker 1 when the power of the abnormality detection device 2 is turned on. By calculating the above, it is possible to reliably detect the risk of heat stroke at an earlier stage and to reduce false alarms.

  In addition, the abnormality detection device 2 is provided with a display unit 211 to display each item of body temperature, humidity, heart rate, acceleration, determination, and message. Not only can there be a possibility, but it can know which item is abnormal and can take countermeasures at an early stage.

  The abnormality detection device 2 transmits a wireless signal to the management device 5 only when it is determined that there is an abnormality in the body of the worker 1 except for periodic transmission of sensor data (step S19 in FIG. 8). Therefore, the consumption of the battery 212 can be reduced.

  In addition, when the biological information exceeds the warning level (first threshold), the abnormality detection device 2 then performs periodic transmission and determination by shortening the transmission period and the determination period to predetermined values, respectively. Thus, detailed follow-up can be performed with respect to the worker 1 who may have heat stroke.

<Modification>
Next, a modified example of the abnormality detection threshold will be described. As a threshold value related to acceleration, for example, a threshold value of “no movement for 3 minutes (including“ almost nothing ”)” can be applied in addition to the threshold value of “3 m / s ² ”. Then, even when a large acceleration does not occur in the worker 1 (for example, when the worker 1 falls down slowly), the abnormality of the worker 1 can be reliably determined.

  Further, when the acceleration sensor 204 can detect movements in three directions orthogonal to each other, a threshold value may be set so as to detect that the worker 1 is shaking in the horizontal direction as abnormal. This is because when the worker 1 works, the vertical and vertical movements are considered normal, but the horizontal movement is considered unnatural.

Although description of this embodiment is finished above, the aspect of the present invention is not limited to these.
For example, the sensor that acquires the biological information of the worker 1 may be one of the heart rate sensor 201, the temperature sensor 202, the humidity sensor 203, and the acceleration sensor 204, or any combination thereof. May be. Other sensors may be used as long as they can collect the biological information of the worker 1. In addition, these sensors do not necessarily have to be integrated into the abnormality detection device 2, and may be configured so that predetermined biological information can be sent to the abnormality detection device 2. In other words, in addition to the case where each element constituting the anomaly detection device is housed in a single housing (configured), it can be distributed in a plurality of housings so that they can communicate with each other. Good.

  Further, any one of the transmission cycle, the determination cycle, and each determination threshold value may be transmitted from the management device 5 to the abnormality detection device 2 at a timing other than step S4 in FIG.

  When the abnormality detection device 2 determines that the body of the worker 1 is abnormal, if the worker 1 presses the button 213 within a predetermined time thereafter, the abnormality signal is not transmitted (cancelled) to the management device 5. May be. However, if the body temperature of the worker 1 is clearly abnormal, such as when the body temperature is 38 ° C. or higher, such cancellation is not appropriate. Therefore, if the humidity exceeds 90%, the body of the worker 1 It is preferable to allow such cancellation only when there is no guarantee that there is an abnormality.

  Further, when it is determined that the worker 1 has an abnormality, the buzzer 206 generates a buzzer sound, and when the predetermined time (for example, 3 minutes) has passed, not immediately, the worker 1 still has the body. If it is determined that there is an abnormality, the abnormality signal may be wirelessly transmitted to the management device 5. If it does so, while being able to notify one operator of the possibility of abnormality early, the possibility of the misreport transmission to the management apparatus 5 can be reduced.

  Moreover, although the abnormality detection apparatus 2 shall be accommodated in the breast pocket of the protective clothing of the operator 1, it may be accommodated in the pocket part of protective pants or in a helmet. .

  Further, the abnormality detection device 2 may be realized by using a general mobile phone or PHS (Personal Handyphone System). In that case, in addition to notifying the person or the management device 5 when an abnormality is detected, a specific telephone number may be called or a specific mail address may be mailed.

In the present embodiment, there are two types of transmission cycle and determination cycle, ie, a long cycle and a short cycle, but there may be three or more types. Moreover, it is good also as a single period (for example, a transmission period is 30 minutes and a determination period is 10 seconds).
In addition, after a large acceleration is generated in the worker 1, it is possible that the threshold other than the acceleration is changed to a low value because there is a possibility of heat stroke.

  In addition, regarding the body temperature and heart rate, how far the warning level (first threshold value) and the alarm level (second threshold value) should be set from the steady values is not limited to the present embodiment, but statistical data. The administrator may set as appropriate based on the above. Further, the threshold value may be any one of a warning level and an alarm level.

Moreover, the abnormality detection system S can be applied to a wide range of scenes and people such as workers other than nuclear power plants.
In addition, specific configurations such as hardware and flowcharts can be appropriately changed without departing from the spirit of the present invention.

1, 1a, 1b, 1c Worker (target person)
2, 2a, 2b, 2c Abnormality detection device 3 Repeater 4 Transmitter / receiver 5 Management device 6 Nuclear facility building 7 Facility 8 Wall 9 Pillar 51 Panel type computer 52 Buzzer 53 Memory card 54 AC / DC converter 55 Battery 201 Heart rate sensor 202 Temperature Sensor 203 Humidity sensor 204 Acceleration sensor 205 CPU (Processing means)
206 Buzzer (Abnormality notification means)
207 Small motor (Abnormality notification means)
208 wireless module 209 memory (storage means)
210 RTC
211 Display Unit 212 Battery 213 Button 511 Processing Unit 512 Storage Unit 513 Display Unit 2111 Display Area 2112 Display Area E Work Area S Abnormality Detection System

Claims (1)

In a heat stroke detection system that manages heat stroke of a plurality of subjects in a work area with a management device outside the work area,
  The heat stroke detection system includes:
  A plurality of heat stroke detection devices that are held one by one by each of the plurality of subjects in the work area and detect heat stroke of the subjects, and
  Threshold for the biometric information of the subject for detecting the heat stroke of the subject, wireless communication with the plurality of the heat stroke detection devices, a transmission cycle that is a cycle for transmission, and determination of the subject's heat stroke The management device that transmits a determination cycle that is a cycle related to the heat stroke detection device,
  The heat stroke detection device is:
  A sensor for acquiring biological information of the subject;
  Storage means for storing the threshold value, the transmission period and the determination period received from the management device;
  Heat stroke notification means for notifying the subject of heat stroke;
  While acquiring the subject's biological information from the sensor in the determination cycle, and transmitting the acquired biological information to the management device in the transmission cycle,
  When the biometric information is acquired from the sensor, it is determined whether or not the biometric information exceeds the threshold value, and if the threshold value is exceeded, the fact that the subject has heat stroke is transmitted to the management device. And processing means for notifying the subject of heat stroke by the heat stroke notification means,
  A heat stroke detection system comprising:

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