JP2013240467A - Disaster prevention supporting system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To prevent occurrence of a disaster by accurately recognizing the physical condition of workers according to individual difference among a plurality of workers and efficiently detecting the physical and mental disorder of workers.SOLUTION: A disaster prevention supporting system includes: a physical amount measure which makes motions according to a motion instruction part for measuring the physical amount of a subject in time series; a motion clipping means for checking whether or not a motion part is present from the physical amount in the time series measured by the physical amount measure with a subject identifier and clipping the motion part; a feature extraction means for extracting the feature amount of the motion part clipped by the motion clipping means; a decision means for deciding whether or not the subject is tired by collating the feature amount extracted by the feature extraction means with a predetermined reference; and a result outputting means for outputting the result of decision of whether the subject makes motions or whether the subject is tired decided by the decision means.

Description

  The present invention relates to a disaster prevention support system, and more particularly to a disaster prevention support system suitable for detecting a physical condition of a worker or the like to prevent a disaster.

  In recent years, in order to support prevention of disasters caused by poor physical condition of workers or the like, it has been performed to monitor mental and physical conditions (health conditions) and detect mental and physical disorders before reaching a disaster.

  For example, in Patent Document 1, in order to calculate the amount of exercise for each type of exercise content and to promote diet and health, the motion intensity is detected from the motion acceleration information by the motion strength detection means, and the posture is determined by the motion content determination means. It describes that the exercise content is determined from the motion direction and the motion intensity, and the exercise amount is converted.

  Further, Patent Document 2 includes a body motion detection unit that continuously detects the frequency of user activity as an activity level in order to estimate the fatigue level and prevent accidents due to fatigue. It is described that the detected activity level is output to a fatigue detection unit that estimates a user's fatigue level based on the activity level.

  Further, Patent Document 3 discloses a measurement for measuring a physiological index related to the non-tree blood flow of a subject in order to detect at an early stage the risk of abnormalities in the thermoregulatory system such as heat stroke and hypothermia that vary from individual to individual. A risk determination apparatus is provided that includes a measurement unit and an analysis unit that acquires a fluctuation magnitude of the physiological index and determines a risk of abnormal temperature regulation from the fluctuation magnitude.

JP 2006-271893 A JP 2011-251137 A JP 2011-212306 A

  However, in Patent Document 1, the exercise content is determined from the posture, the motion direction, and the motion intensity. However, it is difficult to determine the work content at the time of work. However, there is a problem that it is determined that it is not good.

  Moreover, in patent document 2, the fatigue level of one worker is estimated, and it is not taken into consideration until the fatigue level of a plurality of workers is estimated.

  Further, Patent Document 3 discloses a device for monitoring heat stroke, but does not describe means for confirming the status of a plurality of workers.

  The present invention has been made in view of the above-mentioned points, and the object of the present invention is to accurately grasp the physical condition according to the differences of each of a plurality of workers, and to efficiently detect mental and physical disorders of the workers. The object is to provide a disaster prevention support system that can prevent a disaster from occurring.

In order to achieve the above object, the disaster prevention support system of the present invention has a physical quantity meter that measures a physical quantity in time series of a subject who operates according to an action instruction unit, and the subject identifier measured by the physical quantity meter. A motion extraction unit that examines whether there is a motion part from a physical quantity of a sequence, extracts a motion part, a feature extraction unit that extracts a feature amount of the motion part extracted by the motion extraction unit, and a feature amount extracted by the feature extraction unit A determination means for determining whether the subject is tired by collating with a predetermined criterion, and a result output means for outputting whether the subject determined by the determination means is operating or tired,
Alternatively, a measurement device that measures a physical quantity with a subject identifier or a location identifier, and collects data measured by the measurement device, and the physical quantity with the subject identifier is held in a human data holding unit, Data collection means in which a physical quantity with a place identifier is held in a place data holding unit, input means for inputting a date and a subject identifier, date and time input by the input means, and data with the subject identifier It is provided with a determination means for determining the degree of danger in comparison with a predetermined reference value obtained from the human data holding section and the location data holding section, and a result output means for outputting the determination result of the determination means. It is characterized by that.

  ADVANTAGE OF THE INVENTION According to this invention, a physical condition can be grasped | ascertained accurately according to the difference of each worker of multiple persons, and it can prevent beforehand that it leads to a disaster by detecting the malfunction of a worker's mind and body efficiently.

It is Example 1 of the disaster prevention assistance system of this invention, and is a block diagram which shows the example which detects the malfunction of an operator's mind and body at the opportunity of the preparation exercises before entering a field. It is a flowchart explaining the process in Example 1 of the disaster prevention assistance system of this invention. It is a flowchart explaining the operation | movement cutout process in the procedure 22 of FIG. It is a flowchart explaining the operation | movement cut-out process in the procedure 33 of FIG. FIG. 5 is a flowchart for explaining operation cut-out processing in procedure 43 of FIG. 4. FIG. It is a conceptual diagram of the peak point of the operation cut-out process detected by the check of the procedure 53 of FIG. It is an example of the time-sequential physical quantity data in Example 1 of this invention. It is an example of a part of action definition dictionary in Example 1 of the present invention. It is an example of the reference | standard table in Example 1 of this invention. It is a block diagram which shows the heat stroke prevention assistance system which is Example 2 of the disaster prevention assistance system of this invention. It is an example of the graph of the result output part in the heat stroke prevention assistance system which is Example 2 of this invention. It is another example of the graph of the result output part in the heat stroke prevention assistance system which is Example 2 of this invention. It is another example of the graph of the result output part in the heat stroke prevention assistance system which is Example 2 of this invention. It is another example of the graph of the result output part in the heat stroke prevention assistance system which is Example 2 of this invention. It is another example of the graph of the result output part in the heat stroke prevention assistance system which is Example 2 of this invention.

  The disaster prevention support system of the present invention will be described below based on the illustrated embodiment.

  As a first embodiment of the disaster prevention support system according to the present invention, a disaster prevention support system device that detects a mental and physical disorder of an operator at the opportunity of a preparatory exercise before entering a work site will be described with reference to FIGS. .

  The disaster prevention support system apparatus of the present embodiment may be used if there is an original gymnastic exercise that is determined so that Ibaraki Prefecture has a prefectural gymnastic exercise. A radio exercise used for preparation exercise will be described as an example.

  FIG. 1 is an example of a configuration diagram of a disaster prevention support system apparatus 100 according to the present embodiment.

  As shown in the figure, the disaster prevention support system apparatus 100 of the present embodiment includes an accelerometer 2-1 that is a physical quantity meter that measures time-series physical quantities of a subject 20 that operates according to the operation instruction unit 1, and the accelerometer 2 The motion cutout unit 3 that examines whether there is a motion part from the time-series physical quantity with the identifier of the subject 20 measured at −1 and extracts the motion part, and the feature amount of the motion part cut out by the motion cutout unit 3 The feature extraction unit 5 to extract, the determination unit 7 that determines whether the subject 20 is tired by comparing the feature amount extracted by the feature extraction unit 5 with a predetermined reference, and the determination unit 7 determines A new reference 6 is created from the result output unit 8 that outputs whether the subject 20 is operating or tired, and the feature quantity extracted by the feature extraction unit 5, and the identifier of the subject 20 and the operation identifier are associated with each other. The reference creation unit 9 to be stored in the waveform and the waveform defining the operation of the radio exercise are registered, and when the operation extraction unit 3 extracts the operation part, the operation definition dictionary unit 4 to which the registered waveform is referred is outlined. It is configured.

  The operation (j) instruction unit 1 described above instructs the operator on the operation type j. This instruction is, for example, a device for playing a song of radio exercises or a shout. The first radio exercise is composed of 13 types of exercises, and the exercise type of j = 1 to 13 is exercised in accordance with each song and shout.

  When the subject (i) 20 wears an accelerometer 2-1 as a physical quantity meter and performs radio exercises, the accelerometer 2-1 measures time-series acceleration, attaches a subject identifier i, and extracts features. Send to part 5.

  In addition, by providing a wireless communication function between the accelerometer 2-1 and the feature extraction unit 5, the accelerometer 2-1 and the feature extraction unit 5 may be connected by wireless communication, or the accelerometer 2-1 may be connected to a logger. By providing the function, the measured acceleration may be stored in the logger during the gymnastic exercise, and the accelerometer 2-1 and the feature extraction unit 5 may be connected by wire communication after the gymnastic exercise.

  The feature extraction unit 5 obtains the time-series acceleration with the subject identifier i, sends it to the motion cutout unit 3, receives the time-series acceleration of the time part of the motion type j, extracts the feature, and sends it to the determination unit 7. send. A feature extraction method of the feature extraction unit 5 will be described later.

  The motion cutout unit 3 obtains time-series acceleration with the subject identifier i from the feature extraction unit 5, cuts out the time part of the motion type j with reference to the motion definition dictionary unit (j) 4, and the feature extraction unit 5 To pass. In the motion definition dictionary section (j) 4, waveforms that define motion (for example, the first 13 types of radio exercises) are registered. For example, a standard acceleration waveform of many people. The method of action cutout by the action cutout unit 3 will be described later.

  The determination unit 7 receives the feature extracted from the feature extraction unit 5 and determines whether or not the subject 20 is tired by comparing with the feature of the motion type j of the subject identifier i (the motion type feature and the reference value are determined). If the comparison value is equal to or greater than the threshold value, it is determined that the user is tired. If the comparison value is equal to or less than the threshold value, it is determined that the user is not tired), and the determination result is passed to the result output unit 8. . If the past work situation 10 can be referred to, the determination is made in consideration of the previous day or the previous work situation. For example, if the worker with the subject identifier i was in charge of a task with a heavy workload on the previous day, that fact is displayed on the result output unit 8.

  The result output unit 8 receives a signal indicating whether the operator has not operated or a determination result, and outputs the result to the display screen. You may output by voice.

  FIG. 2 shows a flowchart for explaining the processing in the first embodiment.

  As shown in the figure, the operation instructing unit 1 instructs the operation in the procedure 28. In parallel with this, the accelerometer 2-1 measures the acceleration in the procedure 21. The data measured by the accelerometer 2-1 cuts out an acceleration part for an action (for example, jump) j to be noticed in order to measure the degree of fatigue in the action cutout part 3 in step 22. If the acceleration part is successfully cut out, the feature is extracted in step 24, whether or not the subject 20 is tired is determined in step 25, and the result is output to the result output unit 8 in step 26. Thereafter, in step 27, a reference is created using the time-series acceleration data cut out in step 22.

  FIG. 3 shows a flowchart for explaining the operation cut-out process in the procedure 22 of FIG.

  In FIG. 3, for each operation type j, each operation is extracted by the type operation extraction, and the disclosure time (j) is set. For example, in radio exercises, there are 13 types of operations. Although this may be cut out sequentially, the processing time can be reduced by cutting out only the operation of interest in the order of attention.

  As shown in FIG. 3, the flag is initialized to T (true) in step 31, and the operation type is set in order of attention in step 32. For example, if radio exercises are performed with a radio or a recorded song, the length of the song is fixed, so at least J = 1, and if one type of action is cut out, all types of movement types can be cut out. If possible, cutting out two types of exercises at different times can improve the cutout accuracy even if the tempo of the song is different (even if it is slower than the song played on the radio, a few seconds longer or faster).

  Next, the type operation is cut out in step 33. If the cut out is OK in step 34, the start time (j) is set in step 36 and the next operation type is cut out. If the cutout is not OK in step 34, the flag is set to F (false) in step 35 and the process ends. That is, the operation cannot be cut out.

  FIG. 4 is a flowchart for explaining the type operation cut-out process in the procedure 33 of FIG. In FIG. 4, the start time Ts and the end time Te of the radio exercises are given. If a strict time is given, the processing time for searching for an operation part can be reduced, so that the processing can be completed earlier, but it is not necessary to be strict.

  As an example, a case where a jump operation is cut out will be described. The jump is the first twelfth movement of the radio exercises, but has a feature that moves up and down more than other movements.

  As shown in FIG. 4, the flag (j) is initialized to F (false) in step 41, and time-series accelerations are sequentially examined in step 42. In step 43, whether or not there is a feature of the operation type j is checked by the function F1 (j, t). If Yes, DP (Dynamic Programming) matching with the dictionary waveform of the jump is performed, and if the distance D to the dictionary waveform is equal to or less than the threshold th_dp (j), the process proceeds to step 46 and subsequent steps. Otherwise, return to step 42 and check for the next t. DP matching is a matching method based on dynamic programming, and is used when calculating the distance of a waveform having expansion and contraction or displacement.

  In step 46, it is checked whether or not there is an operation that has already been cut out, that is, (j> 0?), And if there is an operation, in step 47, start time (j-1) -start time at interval time (j). (J) is set, and it is checked in step 48 whether or not the interval time (j) is within the predetermined time range. If it is not within the predetermined time range, the operation type j is not found and the process returns to step 42. . If the interval time (j) is within the predetermined time range, it is determined that the operation type j has been found, the flag (j) is set to T (true) in step 49, and the process ends.

  FIG. 5 shows a flowchart for explaining the function F1 (j, t) in the procedure 43 of FIG.

  As shown in FIG. 5, the flag is initialized to F (false) in step 51, and if t> 0 in step 52, the process ends without performing processing. In step 53, it is checked whether the peak point of acceleration is present. If it is the peak point of acceleration, it is checked in step 54 whether it is at a predetermined threshold value. If it is within the predetermined threshold value, the flag is set to T (true) in step 55 and the process is terminated.

  By checking the procedure 53 of FIG. 5, the peak point of the upward convex acceleration as shown in FIG. 6 can be found. When the measured acceleration is reversed in the direction of gravity, it is necessary to search for a peak value that is convex downward.

  FIG. 7 is an example of time-series physical quantity data in the first embodiment, and shows three-axis time-series acceleration data when the first and second radio exercises are performed.

  As shown in the figure, the series 1 is an axis in the direction of gravity, and when the movement is small, the value of the gravity is almost shown. In particular, a large value is shown during the jump, which is the 12th movement of the first radio exercise. The accelerometer 2-1 may be a uniaxial one, but in the case of the three axes, the above-described processing is preferably performed by paying attention to the gravity direction axis.

  That is, FIG. 8 is an example of a part of the action definition dictionary unit 4 in the first embodiment, and shows the start time of the music for radio exercises. Since this value fluctuates when recording is different, it is necessary to create a table in accordance with the music of the operation instruction unit 1.

  When examining whether or not the interval time (j) is within a predetermined time range in the procedure 48 of FIG. 4, the variation permission value ΔT is set to T (j) −T (j−1) of FIG. Then, {T (j) −T (j−1) −ΔT: T (j) −T (j−1) + ΔT} is set as a predetermined time range.

  FIG. 9 is an example of the reference table in the first embodiment, and shows an example of the reference 6 in FIG. The three-axis acceleration, the average value, and the standard deviation for the operation type j are registered. The average value is obtained from Equation 1 or Equation 2, and the standard deviation is also obtained from the difference from the average value.

  The determination unit 7 calculates the average value of the extracted motion parts, compares it with the average value of the corresponding motion type in FIG. 9, and determines that the user is tired if the difference is equal to or greater than a threshold value. The determination in the determination unit 7 may be determined only by a jump of the operation of interest, or may be comprehensively determined by comparing with a reference for other operations. In addition to the determination based on the average acceleration, the reference 6 may store the past acceleration waveform and perform the determination based on the distance value calculated by DP matching at the time of extraction.

  In the first embodiment described above, an example is described in which the physical quantity measured by the physical quantity meter is acceleration. However, the acceleration may be any one of heart rate, temperature, and humidity instead of acceleration.

  According to the present embodiment as described above, it is possible to detect a malfunction of a worker's mind and body and prevent a disaster, and of course, it is possible to accurately detect according to the difference of each worker. In addition, because the worker is a person, the movement may not be determined for some reason, and in that case, the administrator can make a correct judgment and know the physical condition of multiple people efficiently. I can grasp it.

  Next, a heat stroke prevention support system that is Embodiment 2 of the disaster prevention support system of the present invention will be described with reference to FIGS.

  In this embodiment, an example of a heat stroke prevention support system device 200 that warns whether or not the risk of heat stroke is increased will be described.

  FIG. 10 is a configuration diagram showing the heat stroke prevention support system device 200 of the present embodiment. In the present embodiment, in the disaster prevention support system apparatus 100 according to the first embodiment shown in FIG. 1, the description of the components having the same functions as those already described with reference to FIG. 1 is omitted. To do.

  As shown in FIG. 10, the heat stroke prevention support system device 200 of the present embodiment includes an accelerometer 2-1, a thermometer 2-2, and a hygrometer that are measuring devices that measure physical quantities to which subject identifiers or place identifiers are attached. 2-3, heart rate monitor 2-4, depth thermometer 2-5, accelerometer 2-1, thermometer 2-2, hygrometer 2-3, heart rate monitor 2-4, depth thermometer 2-5, WBGT ( Wet Bulb Globe Temperature (wet bulb temperature) collects the data measured by the measuring device 2-6, the physical quantity with the subject identifier is held in the human data holding unit 12-1, and the location identifier is attached. The data collection unit 12 in which the physical quantity is held in the location data holding unit 12-2, the input unit 11 for inputting the date and time and the subject identifier, the date and time input by the input unit 11, and the data to which the subject identifier is attached The human data holding unit 12-1 and the place Obtained from the data holding unit 12-2, and is roughly composed of a determination unit 7 that determines the degree of risk by comparing with a predetermined reference value, and a result output unit 8 that outputs a determination result in the determination unit 7. ing.

  Then, the subject 20 with the subject identifier i wears an accelerometer 2-1, a thermometer 2-2, a hygrometer 2-3, a heart rate meter 2-4, and a deep thermometer 2-5 as measuring devices for measuring physical quantities. To measure the measurement data. Moreover, WBGT, temperature, and humidity are measured by the WBGT measuring device 2-6 that measures the heat stroke index placed at the work place.

  Some of these measuring devices may be used, or other devices may be used. In addition, the measuring device to be worn can be easily worn and prevented from being forgotten to wear by making the terminal device as small as possible.

  The data collection unit 12 collects measurement data from each measuring device, the measurement data belonging to a person is attached with a subject identifier i, and the measurement data belonging to a place is attached with a place identifier k. And stored in the location data holding unit 12-2.

  Further, the work data holding unit 12-3 is work management information created by another system not shown in the figure, and stores data on when (date and time), who (i) and what work (j). It is to hold.

  The standard 6 holds a threshold value or a threshold function for issuing a heat stroke warning. For example, the heart rate varies depending on the individual, and generally, it is considered that the load on the body is large when it exceeds (220-age) or (180-age). In addition to that, the threshold function varies depending on whether or not you are usually playing sports.

  Further, the input unit 11 accepts an input specifying when (date and time) and who (i) wants to view data. In addition, as an option, an input for designating the display format and the place k are accepted, and the accepted input is passed to the determination unit 7. Furthermore, parameters such as age and gender given to various threshold values and threshold functions for the subject 20 with the subject identifier i are received and registered in the criterion 6. The setting of whether or not to feel the type of clothes about the subject 20 of the subject identifier i and the airflow is also accepted and registered in the reference 6 or sent to the determination unit 7.

  The determination unit 7 receives from the input unit 11 when (date and time) and who (i) display format designation data and location k. Further, the measurement value is read from the human data holding unit 12-1 and the location data holding unit 12-2. Instead of using the place k designated by the input unit 11, if the work place k at the designated date and time of the subject identifier i is obtained from the work data holding unit 12-3, it is not necessary to bother to designate the work place. And when the judgment part 7 exceeds the warning value of heat stroke in light of the reference | standard 6 with respect to the human data holding | maintenance part 12-1 and the location data holding | maintenance part 12-2, the result output part 8 is sounded or displayed on the screen. Signal to warn.

  The following are used as warning values for heat stroke.

  (1) WBGT: warns when a predetermined alert, severe alert, or danger threshold is exceeded. The threshold can be changed according to the type of clothes you are wearing and whether you feel airflow.

  (2) WBGT + acceleration or heart rate: The amount of exercise is obtained from the acceleration or heart rate, and the threshold of WBGT warning, severe warning, danger is shifted to a lower side in consideration of the amount of exercise. The threshold can be changed according to the type of clothes you are wearing and whether you feel airflow. Warn when a specified alert, strict alert, or danger threshold is exceeded. At this time, the data is displayed in the display format shown in FIGS.

  (3) Temperature + Humidity: WBGT is calculated from temperature and humidity, and a warning is given when a predetermined warning, severe warning, or danger threshold is exceeded. When the thermometer 2-2 and the hygrometer 2-3 are attached to the inside of the protective clothing, etc., the inside of the clothing is considered as the environment and the same is performed as in (1).

  (4) Temperature + humidity + acceleration or heart rate: WBGT is calculated from temperature and humidity, the amount of exercise is calculated from acceleration or heart rate, and the amount of exercise is taken into account, WBGT warning, strict warning, risk threshold is low Shift to. Warn when a specified alert, strict alert, or danger threshold is exceeded. At this time, the data is displayed in the display format shown in FIGS.

  (5) Heart rate + deep body temperature: (I) When the heart rate per minute continues for the threshold value and exceeds the threshold value according to the ACGIH (American Conference of Industrial Hygienists) thermal strain limit, (II) When the deep body temperature of an operator accustomed to high-temperature work exceeds 38.5 ° C., or when the deep body temperature exceeds 38 ° C. for an unaccustomed worker, the worker is warned. At this time, the data is displayed in the display format of FIG.

  (6) Heart rate + depth body temperature + acceleration: After the heart rate reaches 110 or more, a warning is given if the measured value of acceleration falls below the threshold value and the heart rate after 1 minute does not return to 110 or less. (In accordance with the ACGIH thermal strain tolerance limit, monitor the situation where the heart rate does not return to 110 or less after 1 minute after the work intensity reaches its peak).

  (7) Acceleration + Depth body temperature: The heart rate is estimated from the acceleration, and determined in the same manner as (5).

  When the result output unit 8 receives the warning types (1) to (7) from the determination unit 7, the result output unit 8 gives a warning together with the warning types (1) to (7) by voice or screen display.

  If the warning value for heat stroke is (2), it is displayed in the display format of FIG. 11 or FIG. Which is displayed may be displayed based on a display format designation from the user. If a plurality of workers are working at the same place, it is preferable to display the display in FIG.

  If the warning value for heat stroke is (4), it is displayed in the display format of FIG. Which is displayed may be displayed based on a display format designation from the user.

  If the warning value for heat stroke is (5), it is displayed in the display format of FIG. Otherwise, the horizontal axis displays time, and the vertical axis displays a line graph of measurement data.

  If the result output unit 8 receives the designation of the display format from the input unit 11, the result output unit 8 displays the display format on the screen. If the designation is not received, the priority order of the display format is determined in advance, and the higher priority order is displayed. The display format is used. When data for display in a display format with higher priority is not available, the display format of the next order is used.

  For example, if the warning value of heat stroke is determined in descending order from (7), and the data that matches the designation of when (date and time) and who (i) is the body of temperature, humidity and acceleration, The display format in which the data with the highest priority is arranged is shown in FIG. 14 or FIG. 15 of (4), and the data is displayed in the display format of FIG.

  FIG. 11 is an example of a graph of the result output unit 8 in the heat stroke prevention support system apparatus 200 according to the second embodiment. In the screen frame 8-1 of the result output unit 8, the horizontal axis represents WBGT and the vertical axis represents momentum. It is an example of the display at the time of hitting. From this figure, the relationship between the measurement point 8-1-1 and the threshold value 8-1-2 can be grasped.

  As shown in the figure, when the amount of exercise is large, the threshold value of WBGT warning, strict warning, and danger shifts to the lower side, so the threshold value 8-1-2 has a polygonal line shape. Further, the threshold value is shifted depending on the exercise amount of the subject 20, the type of clothes worn, and whether or not the airflow is felt, so the threshold value 8-1-2 is shifted to the threshold value 8-1-. 3 is displayed. If the threshold value 8-1-2 is left with a dotted line or the like, it is easy to understand that the shift has occurred.

  By setting it as such a display format, it becomes easy to grasp | ascertain the risk degree of heat stroke. Further, if everyone is working under the same conditions, it may be possible to display a plurality of measurement points 8-1-1 in FIG. 11 as to whether everyone feels the same clothes or airflow. If the conditions for whether or not you feel clothes and airflow differ depending on the person, as shown in FIG. 12, the threshold value 8-2-2 is fixed and the measurement point 8-2-1 is moved. good. Thereby, workers with different conditions can be grasped in one graph.

  FIG. 13: is an example of the graph of the result output part 8 in the heat stroke prevention assistance system apparatus 200 of Example 2, and it shows deep body temperature (tympanic temperature rather than rectal temperature) on the horizontal axis in the screen frame 8-3 of the result output part 8. It is an example of display when the heart rate is taken on the vertical axis.

  As is apparent from the figure, the relationship between the heart rate threshold 8-3-2 and the eardrum temperature threshold 8-3-3 with respect to the measurement point 8-3-1 can be grasped. As the threshold value, the subject identifier i of the data to be displayed is used.

  FIG. 14 is an example of a graph of the result output unit 8 in the heat stroke prevention support system apparatus 200 according to the second embodiment. In the screen frame 8-4 of the result output unit 8, the horizontal axis indicates humidity and the vertical axis indicates temperature (air temperature). It is an example of a display when taking).

  As is clear from the figure, the relationship between the measurement point 8-4-1 and the warning in the threshold region determined by the temperature and humidity, the strict warning, and the danger can be grasped.

  Further, if the amount of exercise is large, the warning, strict alert, and danger threshold values may be displayed so as to shift to a lower side, but the amount of exercise differs for each measurement point 8-4-1, and the background of the screen is individually displayed. Can not be shifted. For this reason, there is a method of calculating and shifting the average momentum, but it is not possible to indicate a situation where the momentum is different for each measurement point 8-4-1.

  Therefore, it is preferable to shift the measurement point to the threshold value region side and show it as a shifted measurement point 8-4-2.

  Alternatively, as shown in FIG. 15, the threshold value 8-1-2 may be fixed, and the plot color of the measurement point 8-5-1 may be changed to a warning color, a severe warning color, or a danger color.

  If these screen displays are taken, workers with different amounts of exercise can be grasped in one screen. Moreover, as shown in FIG. 14, when the temperature and humidity inside the clothes as well as the temperature and humidity of the work place outside the clothes are displayed in the same graph, the danger level that can be grasped by normal WBGT and the actual worker puts himself / herself. It is possible to grasp the difference in the risk in the environment where it is used, and to help prevent disasters.

  Of course, the screen in this embodiment may be displayed with the vertical axis and the horizontal axis switched.

  According to the present embodiment, since the degree of risk of heat stroke can be grasped, it is possible to prevent the occurrence of a disaster by detecting the malfunction of the worker's mind and body. It can be detected on a single screen with high accuracy. In addition, by looking at the screen, the administrator can make a correct decision, and can effectively grasp the physical condition of a plurality of people.

  In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.

  DESCRIPTION OF SYMBOLS 1 ... Operation instruction part, 2-1 ... Accelerometer, 2-2 ... Thermometer, 2-3 ... Hygrometer, 2-4 ... Heart rate meter, 2-5 ... Deep body thermometer, 2-6 ... WBGT measuring device, 3 ... an action extraction part, 4 ... an action definition dictionary part, 5 ... a feature extraction part, 6 ... a reference, 7 ... a determination part, 8 ... a result output part, 9 ... a reference creation part, 10 ... a past work situation, 11 ... an input part, DESCRIPTION OF SYMBOLS 12 ... Data collection part, 12-1 ... Human data holding part, 12-2 ... Location data holding part, 12-3 ... Work data holding part, 20 ... Test subject, 100 ... Disaster prevention support system apparatus, 200 ... Heat stroke prevention Support system device.

Claims (10)

  A physical quantity meter that measures a time-series physical quantity of a subject that operates according to the motion instruction section, and an operation that examines whether there is a motion part from the time-series physical quantity with the subject identifier measured by the physical quantity meter and extracts the motion part Cutout means, feature extraction means for extracting the feature amount of the motion part cut out by the motion cutout means, and determining whether the subject is tired by comparing the feature quantity extracted by the feature extraction means with a predetermined reference A disaster prevention support system comprising: a determination means for performing the operation; and a result output means for outputting whether the subject determined by the determination means is operating or tired. In the disaster prevention support system according to claim 1,
A disaster prevention support system, further comprising reference creation means for creating a new reference from the feature quantity extracted by the feature extraction means and associating the subject identifier with an action identifier and storing the reference in the reference. In the disaster prevention support system according to claim 1 or 2,
A waveform defining motion of a physical quantity performed by the subject is registered, and further provided with motion definition dictionary means for referencing the registered waveform when the motion cutout unit cuts out a motion part. Disaster prevention support system. The disaster prevention support system according to any one of claims 1 to 3,
The disaster prevention support system, wherein the physical quantity measured by the physical quantity meter is any one of acceleration, heart rate, temperature, and humidity. The disaster prevention support system according to any one of claims 1 to 3,
By obtaining the past work status data of the subject identifier from the past work status database of the subject, the result output means outputs past work status data together with whether the subject has operated or is tired. Disaster prevention support system characterized by   A measurement device that measures a physical quantity with a subject identifier or a location identifier, and collects data measured by the measurement device, and the physical quantity with the subject identifier is held in a human data holding unit, and the location identifier The data collection means in which the physical quantity to which is attached is held in the location data holding unit, the input means for inputting the date and time and the subject identifier, the date and time input by the input means and the data to which the subject identifier is attached are the human data A determination unit that obtains from the holding unit and the location data holding unit and determines the degree of danger by comparing with a predetermined reference value; and a result output unit that outputs a determination result of the determination unit. Disaster prevention support system featuring The disaster prevention support system according to claim 6,
The physical quantity measured by the measuring device includes any of acceleration, heart rate, temperature, and humidity. The disaster prevention support system according to claim 6,
The physical quantity measured by the measuring device is WBGT and acceleration, or WBGT and heart rate, and the result output means shows WBGT on one axis and the momentum calculated from acceleration or heart rate on the other axis. A disaster prevention support system characterized by showing a relationship between a graph and a threshold value based on a setting of whether or not the subject's exercise amount, the type of clothes worn, and airflow are felt. The disaster prevention support system according to claim 6,
The physical quantities measured by the measuring device are a heart rate and a deep body temperature, and the result output means includes a graph indicating the heart rate on one axis and the deep body temperature on the other axis, and a threshold value based on the subject identifier. A disaster prevention support system characterized by showing a relationship with values. The disaster prevention support system according to claim 6,
The physical quantities measured by the measuring device are temperature and humidity, and the result output means includes a graph indicating temperature on one axis and humidity on the other axis, and a threshold value determined from the temperature and humidity. A disaster prevention support system characterized by showing the relationship.

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