JP2020149150A - Device, system, method, and program for supporting health management - Google Patents

Abstract

To provide a device, a system, a method, and a program for supporting health management which can determine the health state of a worker accurately.SOLUTION: A health management supporting device 1 includes a vital data collecting unit 31, an environment data collecting unit 32, a determination unit 33, and an output unit 34. The vital collecting unit 31 collects vital data detected by a vital sensor 3 in a wearable device 2 carried by a worker U. The environment data collecting unit 32 collects environment data as data of the environment surrounding the worker U. The determination unit 33 determines the health state of the worker U on the basis of the vital data collected by the vital data collecting unit 31 and the environment data collected by the environment data collecting unit 32. The determination unit 34 outputs information based on the result of determination by the determination unit 33.SELECTED DRAWING: Figure 1

Description

The present invention relates to a health management support device, a health management support system, a health management support method, and a health management support program that support the health management of workers employed by an employer.

In recent years, with the declining birthrate and aging population, there are concerns about labor shortages, and expectations are rising for the labor force of the elderly. In particular, the number of workers working in the field has declined significantly, and there are high expectations for elderly veteran workers who have a lot of know-how. On the other hand, as the elderly grow older, the risk of occupational accidents increases due to poor physical condition caused by the unconsciousness of the workers themselves. Therefore, it is required to properly manage the health of workers, and there is a need for an in-house system that enables companies to make effective use of workers and allows workers to demonstrate their abilities.

Therefore, for example, Patent Document 1 describes a health management system including a wearable device that measures heartbeat data related to a worker's heartbeat and transmits the worker's heartbeat data and identification information to a transmission target terminal, and a health management server. Proposed. In such a health management system, health management data related to a worker's health condition is calculated using the worker's heartbeat data, and a health management page is created to display the calculated health management data to manage the health condition of the worker. To support.

JP-A-2017-167802

However, in the health management system described in Patent Document 1, since the health condition of a worker is determined only from the heartbeat data of the worker, there is a problem in the accuracy of such determination.

The present invention has been made in view of the above, and an object of the present invention is to obtain a health management support device capable of accurately determining a worker's health condition.

In order to solve the above-mentioned problems and achieve the object, the health management support device of the present invention includes a vital data collection unit, an environmental data collection unit, a determination unit, and an output unit. The vital data collection unit collects vital data detected by a vital sensor provided in a wearable device worn by a worker. The Environmental Data Collection Department collects environmental data, which is data on the surrounding environment of workers. The determination unit determines the health condition of the worker based on the vital data collected by the vital data collection unit and the environmental data collected by the environmental data collection unit. The output unit outputs information based on the determination result by the determination unit.

According to the present invention, there is an effect that the health condition of a worker can be accurately determined.

The figure for demonstrating the health management support system which concerns on Embodiment 1 of this invention. The figure which shows the configuration example of the health management support system which concerns on Embodiment 1. The figure which shows the configuration example of the wearable device which concerns on Embodiment 1. The figure which shows the configuration example of the environment sensor which concerns on Embodiment 1. The figure which shows the configuration example of the health management support device which concerns on Embodiment 1. The figure which shows an example of the vital data table which concerns on Embodiment 1. The figure which shows an example of the environment data table which concerns on Embodiment 1. The figure which shows an example of the health condition history table which concerns on Embodiment 1. The figure which shows an example of the notification information which is notified by the notification part of the health management support device which concerns on Embodiment 1, and is displayed on a worker terminal. The figure which shows an example of the display information displayed on the worker terminal which concerns on Embodiment 1. The figure which shows an example of the display information displayed on the employer terminal which concerns on Embodiment 1. A flowchart showing an example of processing by the processing unit of the health management support device according to the first embodiment. A flowchart showing an example of the display information generation process according to the first embodiment. The figure which shows an example of the hardware configuration of the health management support device which concerns on Embodiment 1.

The health management support device, the health management support system, the health management support method, and the health management support program according to the embodiment of the present invention will be described in detail below with reference to the drawings. The present invention is not limited to this embodiment.

Embodiment 1.
FIG. 1 is a diagram for explaining a health management support system according to a first embodiment of the present invention. As shown in FIG. 1, the health management support system 100 according to the first embodiment includes a health management support device 1, a wearable device 2, an environmental sensor 4, and a worker terminal 5 which is a terminal used by the worker U. And an employer terminal 6 which is a terminal used by the employer K who employs the worker U. In the example shown in FIG. 1, the worker U is located at the work site, and the employer K is located at the manager's room.

The wearable device 2 has a vital sensor 3 and is attached to the worker U. The vital sensor 3 detects the vital information of the worker U, and transmits the vital data of the worker U according to the detection result to the health management support device 1. Vital information of worker U is, for example, heart rate, blood pressure, body temperature, or respiratory rate.

The environment sensor 4 detects the surrounding environment of the worker U and transmits the environmental data, which is the data of the detected surrounding environment, to the health management support device 1. The ambient environment of the worker U is, for example, the temperature, humidity, or oxygen concentration around the worker U.

The health management support device 1 includes a vital data collection unit 31, an environmental data collection unit 32, a determination unit 33, and an output unit 34. The vital data collection unit 31 collects vital data from the vital sensor 3. The environmental data collection unit 32 collects environmental data from the environmental sensor 4. The determination unit 33 determines the health condition of the worker U based on the vital data collected by the vital data collection unit 31 and the environmental data collected by the environmental data collection unit 32. The output unit 34 outputs information based on the determination result by the determination unit 33 to the worker terminal 5 and the employer terminal 6.

As described above, since the health management support device 1 determines the health condition of the worker U using not only the vital data but also the environmental data, the health management support device 1 determines the health condition of the worker U using only the vital data, as compared with the case where the health condition of the worker U is determined only by the vital data. The health condition of the worker U can be accurately determined. Hereinafter, the health management support system 100 according to the first embodiment will be described in detail.

FIG. 2 is a diagram showing a configuration example of the health management support system according to the first embodiment. As shown in FIG. 2, the health management support system 100 includes a health management support apparatus 1, the wearable device _{2 1,} 2 2, ..., and _{2 n,} and the environment sensor 4, workers terminal ₅ 1, _{5 2} , ..., 5 _n and an employer terminal 6 are provided. n is an integer of 3 or more.

Wearable device _{2 1} is mounted on workers _{U 1,} wearable device _{2 2} is mounted on workers _{U 2,} wearable device _{2 n} is attached to workers _{U n.} Workers terminal _{5 1} is carried by laborers _{U 1,} workers terminal _{5 2} are carried by workers _{U 2,} workers terminal _{5 n} is possessed by the worker _{U n.} Hereinafter, the wearable device _{2 1,} 2 2, ..., when not distinguished from each other _{2 n} individually described as wearable device 2, worker terminal _{5 1,} 5 2, ..., each of _{5 n} When not individually distinguished, it may be described as a worker terminal 5.

The health management support device 1 is communicably connected to each of the wearable device 2, the environmental sensor 4, the worker terminal 5, and the employer terminal 6 via the network 7. The network 7 is, for example, a WAN (Wide Area Network) such as the Internet or a LAN (Local Area Network).

FIG. 3 is a diagram showing a configuration example of the wearable device according to the first embodiment. As shown in FIG. 3, the wearable device 2 includes a communication unit 40, a processing unit 41, a heartbeat sensor 42 _1, a blood pressure sensor 42 _2, a temperature sensor 42 _3, a perspiration sensor 42 _4, respiratory rate sensor 42 includes a _5, a blink sensor 42 _6, a line-of-sight sensor 42 _7, a facial expression sensors 42 _8, and a brain wave sensor 42 _9. Hereinafter, each of the heartbeat sensor 42 _1, a blood pressure sensor 42 _2, temperature sensor 42 _3, perspiration sensor 42 _4, respiratory rate sensor 42 _5, blinking sensors 42 _6, the line-of-sight sensor 42 _7, expression sensor 42 ₈ and electroencephalogram sensor 42 _9, Is shown without distinction, it may be described as sensor 42.

The communication unit 40 is connected to the network 7 by wire or wirelessly, and communicates with the health management support device 1 via the network 7. The processing unit 41 acquires the detection results of each sensor 42, and transmits the acquired detection results of each sensor 42 from the communication unit 40 to the health management support device 1.

The heart rate sensor 42 ₁ detects the heart rate of the worker U per unit time, and outputs vital data including information indicating the detected heart rate. Blood pressure sensor 42 ₂ detects the blood pressure value workers U, and outputs the vital data including information indicating the detected pressure value. Temperature sensor 42 ₃ detects the temperature of workers U, and outputs the vital data including information indicating the detected temperature. Perspiration sensor 42 ₄ detects the amount of perspiration workers U per unit time, and outputs the vital data including information indicating the detected amount of perspiration.

Respiratory rate sensor 42 ₅ detects the respiration rate of the workers U per unit time, and outputs the vital data including information indicating the number of the detected respiration. Blink sensor 42 ₆ detects the blink frequency of workers U per unit time, and outputs the vital data including information indicating the detected blink count. Sight sensor 42 ₇ detects the movement of the line of sight of the worker U, and outputs the vital data including information indicating the movement of the detected line of sight. Expression sensor 42 ₈ detects the facial expression feature quantity is a feature quantity of the facial expression workers U, and outputs the vital data including information indicating the detected expression characteristic quantity. EEG sensor 42 _9, workers detect the brain waves of the U, and outputs the vital data including information indicating the detected brain waves.

For example, the processing unit 41 can repeatedly acquire the vital data of each sensor 42 at a preset timing, and transmit the acquired vital data of each sensor 42 to the health management support device 1 in real time. The preset timing may be, for example, a timing different for each sensor 42 or a timing common to all the sensors 42.

FIG. 4 is a diagram showing a configuration example of the environmental sensor according to the first embodiment. As shown in FIG. 4, the environment sensor 4 includes a communication unit 51, a temperature sensor 52, a humidity sensor 53, an oxygen concentration sensor 54, and a processing unit 55. The communication unit 51 is connected to the network 7 by wire or wirelessly, and communicates with the health management support device 1 via the network 7.

The temperature sensor 52 detects the air temperature around the worker U and outputs environmental data including information indicating the detected air temperature. The humidity sensor 53 detects the humidity around the worker U and outputs environmental data including information indicating the detected humidity. The oxygen concentration sensor 54 detects the oxygen concentration around the worker U and outputs environmental data including information indicating the detected oxygen concentration.

For example, the processing unit 55 repeatedly acquires the environmental data of the temperature sensor 52, the humidity sensor 53, and the oxygen concentration sensor 54 at preset timings, and transmits the acquired environmental data to the health management support device 1 in real time. Can be done. The preset timing may be different for each of the temperature sensor 52, the humidity sensor 53, and the oxygen concentration sensor 54, for example, and the timing common to the temperature sensor 52, the humidity sensor 53, and the oxygen concentration sensor 54. It may be.

FIG. 5 is a diagram showing a configuration example of the health management support device according to the first embodiment. As shown in FIG. 5, the health management support device 1 includes a communication unit 10, a storage unit 20, and a processing unit 30. The communication unit 10 is connected to the network 7 by wire or wirelessly, and communicates with each of the wearable device 2, the environment sensor 4, the worker terminal 5, and the employer terminal 6 via the network 7.

The storage unit 20 stores the vital data table 21, the environmental data table 22, and the health condition history table 23. The vital data table 21 includes vital data transmitted from the wearable device 2 to the health management support device 1. The environmental data table 22 includes environmental data transmitted from the environmental sensor 4 to the health management support device 1. The health status history table 23 includes information on the health status history of each worker U determined in the past by the processing unit 30.

FIG. 6 is a diagram showing an example of the vital data table according to the first embodiment. As shown in FIG. 6, the vital data table 21 includes a “worker ID (Identifier)”, a “work type”, a “working time”, a “working place ID”, and a “vital data”. The "worker ID" is the identification information of the worker U. The "work type" is information indicating the type of work performed by the worker U. The "working time" is information indicating the elapsed time since the worker U started the work. The "work place ID" is identification information indicating a place where the worker U is working. "Vital data" is the vital data of worker U. The work place ID "P001" indicates, for example, that the work place is the first plant.

In the example shown in FIG. 6, the worker U with the worker ID “U001” has a heart rate of 71 at 15:01:04, etc., about 134 minutes have passed since the inspection work was started at the first plant. It is shown that the heart rate is 72 or the like at 15:01:03. In addition, about 124 minutes have passed since the inspection work was started at the first plant, and the worker U with the worker ID "U002" has a heart rate of 65 or the like at 15:01:04, and is at 15:00. It is shown that the heart rate is 66 or the like at 1 minute and 3 seconds.

In FIG. 6, only the information indicating the heart rate is shown as the vital data, but the vital data table 21 shows the above-mentioned blood pressure value, body temperature, sweating amount, respiratory rate, blinking rate, and eye movement. It also includes information indicating facial features and brain waves.

Further, the "worker ID", "work type", "working time", and "working place ID" are set by the employer K, but are not limited to such an example. For example, it is assumed that the wearable device 2 has a position detection unit, and the position information detected by the position detection unit is transmitted to the health management support device 1. In this case, the processing unit 30 can acquire the position information detected by the wearable device 2 and determine the "working place ID" based on the position information. The processing unit 30 can set such a determination result in the vital data table 21. Further, the processing unit 30 can also set the "work type" and the "work time" in the vital data table 21 based on the information from the wearable device 2.

FIG. 7 is a diagram showing an example of the environmental data table according to the first embodiment. As shown in FIG. 7, the environment data table 22 includes a "data ID", a "workplace ID", a "measurement time", and a "measured value". The "data ID" is identification information of vital data. The "work place ID" is identification information indicating a place where the worker U is working. The “measurement time” is information indicating the time when the vital data is detected by the sensor 42. The "measured value" is information indicating a value detected by the sensor 42.

In the example shown in FIG. 7, the data of the data ID "D9112" is the temperature "28 degrees" and the humidity "28 degrees" obtained by the environment sensor 4 at 15:01:04 at the place indicated by the work place ID "P001". It is the environmental data which shows "43%" and oxygen concentration "20.1%". Further, the data of the data ID "D9111" is the temperature "28 degrees", the humidity "43%", and the humidity "43%" obtained by the environment sensor 4 at 15:01:03 at the place indicated by the work place ID "P001". It is the environmental data which shows the oxygen concentration "20.1%".

FIG. 8 is a diagram showing an example of a health condition history table according to the first embodiment. As shown in FIG. 8, the health status history table 23 includes "worker ID", "time", "health status", and "related information". The "worker ID" is the identification information of the worker U. "Time" is information indicating a time. The "health state" is information indicating the health state of the worker U determined by the processing unit 30. The "related information" is information related to the health condition of the worker U determined by the processing unit 30. For example, the processing unit 30 can set the information determined based on the environmental data indicating the state of the surrounding environment of the worker U in the “related information”.

In the example shown in FIG. 8, it is shown that the health condition determined at 15:00 in the worker U with the worker ID “U001” is normal. In addition, it is shown that the health condition of the worker U with the worker ID "U002" determined at 15:00 is abnormal, and the body temperature of the worker U with the worker ID "U002" at 15:00 is high. ..

The abnormal health condition of the worker U is not limited to the poor health condition of the worker U, but includes a state in which there is a sign that the health condition of the worker U is in a poor condition. Further, the abnormal health condition of the worker U may include a state in which the worker U is exposed to an environment in which the health condition becomes abnormal. In addition, the health condition of the worker U includes the physical condition of the worker U.

Further, the "health state" shown in FIG. 8 includes information indicating the health level of the worker U in addition to the information indicating whether the health state of the worker U is normal or abnormal. The health level of the worker U indicates the health condition of the worker U numerically, and here, the maximum value of the health level is 5 and the minimum value is 0. The lower the health level, the worse the health condition.

Returning to FIG. 5, the processing unit 30 of the health management support device 1 will be specifically described. As shown in FIG. 5, the processing unit 30 includes a vital data collection unit 31, an environmental data collection unit 32, a determination unit 33, an output unit 34, a prediction unit 35, and a recommended working hour calculation unit 36. ..

The vital data collection unit 31 collects vital data of each sensor from each wearable device 2 via the network 7 and the communication unit 10. The vital data collection unit 31 adds the vital data of each sensor collected from each wearable device 2 to the vital data table 21.

The environmental data collection unit 32 collects the environmental data of the environmental sensor 4 via the network 7 and the communication unit 10. The environmental data collection unit 32 adds the collected environmental data of each environmental sensor 4 to the environmental data table 22. In addition, the environmental data collection unit 32 can also collect the environmental data around the worker U from an external database or an external server that stores the environmental data around the worker U.

For example, the environmental data collection unit 32 can acquire the weather data of the point or area where the worker U is located as the environmental data from the database or the server that provides the latest weather data. The environment data collection unit 32 adds the environment data collected from the database or the server to the environment data table 22.

The determination unit 33 determines the health condition of the worker U based on the vital data collected by the vital data collection unit 31 and the environmental data collected by the environmental data collection unit 32. Specifically, the determination unit 33 acquires the vital data stored in the vital data table 21 and the environmental data stored in the environment data table 22. Then, the determination unit 33 determines the health condition of the worker U based on the acquired vital data and the environmental data. The determination unit 33 can determine whether or not the health condition of the worker U is normal based on the vital data and the environmental data.

For example, the determination unit 33 inputs vital data and environmental data into a calculation formula, and when the value obtained from the calculation formula is less than a preset threshold value, the health condition of the worker U is determined to be abnormal. Can be determined. For example, the determination unit 33 determines the health level of the worker U by using the calculation formula shown in the following formula (1), and when the health level is less than the threshold value yth, the health state of the worker U is abnormal. It can be determined that there is. In the following formula (1), "y" is the health level.
_{y = a 1 · x 1 +} a 2 · x 2 + ··· + a n · x n ··· (1)

In the above equation (1), n is an integer of 3 or more, a ₁ , a ₂ , ..., _An is a coefficient, and x ₁ , x ₂ , ..., X _n are features. Is. Features are also called explanatory variables. Vital data and environmental data, which are different from each other, are input as variables in each feature x _{1 to} x _n . For example, feature x ₁ is a pulse rate, feature x ₂ is a blood pressure value, and feature x _n is an oxygen concentration.

Further, the determination unit 33 determines the health level of the worker U by using, for example, the calculation formula shown in the following formula (2), and when the health level is less than the threshold value, the health state of the worker U is changed. It can be determined that it is abnormal. In the following formula (2), "y" is the health level.
y = a ₁₁ · (x ₁ , z ₁ ) + a ₁₂ · (x ₁ , z ₂ ) + ... + a _nm · (x _n , z _m )
... (2)

In the above equation (2), n and m are integers of 3 or more, and a ₁₁ , a ₁₂ , ..., and a _nm are coefficients, and x ₁ , ..., X _n , z ₁ , z ₂ , ..., Z _m are features. Different types of vital data are input as variables in each feature x _{1 to} x _n . Further, different data among the environmental data are input as variables in each feature z _{1 to} z _m . For example, feature x ₁ is a pulse rate, feature x ₂ is a blood pressure value, and feature x _n is a respiratory rate. Further, the feature z ₁ is the temperature, and the feature z _m is the oxygen concentration. Further, in the above equation (2), for example, (x ₁ , z ₁ ) is a function having the feature x ₁ and the feature z ₁ as parameters, and is, for example, a function for multiplying the feature x ₁ and the feature z _1. Is.

In addition, the determination unit 33 uses the teacher data as the teacher data whether the health condition of the worker U is normal or abnormal, and uses the vital data and the environmental data as the features, and the coefficients a ₁ , a ₂ , ... _n can be obtained. Further, the determination unit 33 uses the teacher data as the teacher data whether the health condition of the worker U is normal or abnormal, and the coefficients a ₁₁ , a ₁₂ , ..., A of the above equation (2) as the features of the vital data and the environmental data. _nm can be determined.

The determination unit 33 can determine that the health state of the worker U is normal, for example, when the determined health level of the worker U is equal to or higher than a preset threshold value yth. Further, the determination unit 33 can determine that the health state of the worker U is abnormal, for example, when the determined health level of the worker U is less than the preset threshold value yth. The calculation formula for determining the health level of the worker U may be any one that determines the health level of the worker U from the vital data and the environmental data, and the above formulas (1) and (2) Not limited to.

Further, the determination unit 33 may determine whether the health condition of the worker U is normal or abnormal based on whether the vital data satisfies the abnormality determination condition changed based on the environmental data. it can. For example, when the vital data satisfies the abnormality determination condition changed based on the environmental data, the determination unit 33 determines that the health condition of the worker U is normal, and the vital data does not satisfy the abnormality determination condition. In addition, it is determined that the health condition of the worker U is abnormal.

Specifically, the determination unit 33 can determine that the health condition of the worker U is abnormal when any one of the plurality of conditions shown in Table 1 below is satisfied. For example, the determination unit 33 determines that the health condition of the worker U is abnormal when the state in which the pulse rate V _pa is equal to or higher than the threshold value V _pa th1 or equal to or lower than the threshold value V _pa th2 continues to be equal to or longer than the time threshold value T _path. can do. The determination unit 33, when the state blood pressure value _{V pre} is the threshold value _V pre th1 or more or threshold _V pre th2 or less to the duration threshold _{T pre} th or more, the health of the workers U is as abnormal determination can do.

Further, the determination unit 33 changes each threshold value shown in Table 1 above based on the environmental data. For example, the determination unit 33, the temperature of the surrounding workers U, humidity, and based on the oxygen concentration, the threshold _V pa _th1 described _{above, V pa th2, V pre th1} , V pre th2 and the time threshold _T pa th, T _{The threshold} can be changed. As a result, the health condition of the worker U can be accurately determined according to the environment around the worker U.

Further, the determination unit 33 can have information on the abnormality determination conditions shown in Table 1 above for each work type of the worker U. For example, the abnormality judgment condition when the work type of the worker U is the inspection work in the first plant and the abnormality judgment condition when the work type of the worker U is the office work in the office are different conditions. can do.

The determination unit 33 can determine whether or not the health condition of the worker U is abnormal based on whether or not the vital data satisfies the abnormality determination condition according to the work content of the worker U. In this case as well, the determination unit 33 changes each threshold value included in the abnormality determination condition according to the work content of the worker U based on the temperature, humidity, and oxygen concentration around the worker U. For example, the determination unit 33 makes it easier to determine that the health condition is abnormal as the environment around the worker U becomes worse based on the temperature, humidity, and oxygen concentration around the worker U. Each threshold value shown in 1 can be changed.

The determination unit 33 can also change each threshold value shown in Table 1 above according to the working time. For example, the determination unit 33 can change each threshold value shown in Table 1 above so that it becomes easier to determine that the health condition is abnormal as the working time becomes longer. Further, the determination unit 33 can change each threshold value shown in Table 1 above according to the work place.

In the above-mentioned example, the information of the abnormality determination condition is the same among the workers U, but the information is not limited to such an example. The determination unit 33 can have information on the abnormality determination conditions shown in Table 1 above for each worker U. For example, the determination unit 33 can have information on the abnormality determination conditions shown in Table 1 above for each age group or age of the worker U. In addition, the determination unit 33 may have information on the abnormality determination conditions shown in Table 1 for each worker U type, each work type, and each work place.

Further, the determination unit 33 can change the abnormality determination condition based on, for example, vital data of a plurality of workers U. For example, the determination unit 33 determines that the health condition is abnormal as the number of workers U who have determined that the health condition of the worker U is abnormal among a plurality of workers U in the same work place increases. Each threshold value shown in Table 1 above can be changed so as to facilitate the operation. The determination unit 33 can determine a plurality of workers U in the same work place based on the work place ID which is the information of the work place included in the vital data table 21.

Further, for example, the determination unit 33 increases the number of workers U who have determined that the health condition of the worker U is abnormal among a plurality of workers U who are working in the same work type, so that the health condition increases. Each threshold value shown in Table 1 above can be changed so that it can be easily determined that is abnormal. The determination unit 33 can determine a plurality of workers U in the same work place based on the work type information and the work place information included in the vital data table 21.

Further, the determination unit 33 has information on the abnormality determination conditions shown in Table 2 below in addition to the information on the abnormality determination conditions shown in Table 1 above, and includes the abnormality determination conditions shown in Table 1 above and the abnormality determination conditions shown in Table 2 below. Based on this, the health status of worker U can be determined.

For example, the determination unit 33 determines that the health condition of the worker U is abnormal when the state in which the temperature V _tem is equal to or higher than the threshold value V _tem th1 or the threshold value V _tem th2 or lower continues for the time threshold value T _tem th or more. be able to. The determination unit 33, when a state oxygen concentration _{V oc} is the threshold value _V oc th1 or more or threshold _V oc th2 or less to the duration threshold _T oc th or more, the health of the workers U is as abnormal determination can do. In this way, the determination unit 33 can determine the health state of the worker U by comparing each of the vital data and the environmental data with the threshold value.

The output unit 34 outputs information based on the determination result by the determination unit 33 to at least one of the worker terminal 5 and the employer terminal 6 via the network 7. When the determination result by the determination unit 33 satisfies a preset condition, the output unit 34 notifies the worker terminal 5 and the employer terminal 6 of information based on the determination result of the determination unit 33, respectively. Have.

For example, when the determination unit 33 determines that the health condition of the worker U is abnormal, the notification unit 37 provides abnormal information indicating that the health condition of the worker U is abnormal or health to the worker U. It is possible to notify the worker terminal 5 of the advice information indicating the advice regarding the above. Abnormal information is, for example, "high blood pressure", "has a fever", or "a hot and humid environment".

Further, the abnormality information may include the value of the vital data determined to be abnormal among the vital data. For example, the abnormal information is "the state where the upper blood pressure is 160 mmHg or more continues", "the state where the body temperature is 37.6 degrees or more continues for 1 hour or more", and "the state of high temperature and humidity". It may be information such as "It has continued for 2 hours or more." In addition, the advice information is, for example, information such as "let's take a break" or "let's do gymnastics." Hereinafter, the abnormality information or advice information notified from the notification unit 37 to the worker terminal 5 will be described as notification information.

FIG. 9 is a diagram showing an example of notification information notified by the notification unit of the health management support device according to the first embodiment and displayed on the worker terminal. On the screen 60 of the worker terminal 5 shown in FIG. 9, the information "Heart rate is high. Let's take a break" is displayed as the notification information notified by the worker terminal 5.

Further, when the determination unit 33 determines that the health condition of the worker U is abnormal, the notification unit 37 notifies the employer terminal 6 of abnormal information indicating that the health condition of the worker U is abnormal. can do. Abnormal information is, for example, "Worker U ₁ has high blood pressure" or "Worker U ₂ has a fever".

The anomaly information may include, for example, the value of the vital data determined to be abnormal among the vital data. For example, abnormality information is, "worker U _1-san, blood pressure of the above is more state 160mmHg we continue." Or "worker U _1-san, body temperature 1 hour state of more than 37.6 degrees The above is continuing. "

Further, the output unit 34 has a display processing unit 38 that generates display information in response to a request from the worker terminal 5 or the employer terminal 6. The description of the display processing unit 38 will be given after the prediction unit 35 and the recommended working time calculation unit 36 have been described.

The prediction unit 35 predicts the future health condition of the worker U based on the past health condition of the worker U determined by the determination unit 33. For example, the prediction unit 35 can predict the future health condition of each worker U based on the information indicating the past health condition of each worker U included in the health condition history table 23.

In addition, the prediction unit 35 can also predict the future health condition of the worker U based on the information indicating the past health condition of the worker U and the related information included in the health condition history table 23. For example, the prediction unit 35 can determine that the health condition of the worker U is abnormal when the health condition of the worker U determined immediately before is abnormal.

Further, the prediction unit 35 compares the transition of the past health condition of the worker U with the transition of the past health condition of the worker U determined up to a preset period before the worker U. You can also predict your health.

The recommended working hour calculation unit 36 calculates the recommended working time, which is the recommended working time for the worker U, based on the determination result by the determination unit 33. For example, the recommended working hours calculation unit 36 calculates the recommended working hours based on the transitional tendency, which is the tendency of the health condition after the worker U starts the work, based on the determination result by the determination unit 33. Can be done. For example, the recommended working time calculation unit 36 can set the recommended working time of the worker U whose health condition becomes abnormal when the elapsed time from the start of the work is 8 hours or more, for example, to 5 hours. ..

Further, the recommended working hours calculation unit 36 can also calculate the recommended working hours by using the characteristics of the worker U in addition to the determination result by the determination unit 33. The characteristics of worker U are, for example, the age, gender, chronic disease, and the result of the previous medical examination of worker U. The recommended working hours calculation unit 36 can also obtain the recommended working hours based on the average transition tendency obtained from the characteristics of the worker U and the transition tendency of the worker U obtained from the determination result by the determination unit 33.

For example, the recommended working hours calculation unit 36 obtains the standard recommended working hours based on the average transition tendency obtained from the characteristics of the worker U, and determines the transition tendency of the worker U obtained by the determination result by the determination unit 33. Based on this, the recommended working hours are calculated by correcting the standard recommended working hours. The recommended working hours calculation unit 36 can also obtain the recommended working hours by the determination result by the determination unit 33 and the calculation formula having the characteristics of the worker U as a feature.

The display processing unit 38 in the output unit 34 transmits to the worker terminal 5 and the employer terminal 6 based on the determination result by the determination unit 33, the prediction result by the prediction unit 35, the calculation result by the recommended working time calculation unit 36, and the like. Display information to be displayed can be generated.

For example, the display processing unit 38 has a past health condition and prediction unit 35 of the worker U determined by the determination unit 33 when there is a display request from the worker terminal 5 requesting display information indicating a health condition list. Generates display information indicating the time-series health status of worker U, including the health status predicted by. The output unit 34 outputs the display information generated by the display processing unit 38 to the worker terminal 5 via the network 7. As a result, the worker terminal 5 can display display information indicating the time-series health status of the worker U having the worker terminal 5 on a display unit (not shown).

FIG. 10 is a diagram showing an example of display information displayed on the worker terminal according to the first embodiment. In the display information 61 shown in FIG. 10, icons indicating the health status of the worker U every hour are displayed in a list. Such an icon represents the health condition of worker U with a human facial expression. In addition, the display information 61 shown in FIG. 10 also includes information indicating precautions for the worker U and information on the recommended working hours calculated by the recommended working hours calculation unit 36. Information indicating precautions for the worker U is generated, for example, by the determination unit 33. In the example shown in FIG. 10, the health condition of the worker U is shown in units of 1 hour, but the display processing unit 38 generates display information indicating the health condition of the worker U in units of 30 minutes. It is also possible to generate display information indicating the health condition of worker U on a daily basis.

Further, the display processing unit 38 shows a list of health condition determination results of a plurality of workers U by the determination unit 33 when there is a display request from the employer terminal 6 requesting display information indicating a health condition list. Generate display information. The output unit 34 outputs the display information generated by the display processing unit 38 to the employer terminal 6 via the network 7. As a result, the employer terminal 6 can display display information showing a list of health condition determination results of a plurality of workers U on a display unit (not shown).

FIG. 11 is a diagram showing an example of display information displayed on the employer terminal according to the first embodiment. In the display information 62 shown in FIG. 11, icons indicating the determination results of the health status of the plurality of workers U are displayed in a list. Such an icon represents the health condition of worker U with a human facial expression. Further, the display information 62 includes link information for linking to the information of the analysis result, in addition to the same information as the information of the precautions shown in FIG. Employer K can display the analysis result by operating the employer terminal 6 and selecting a link. The analysis result includes, for example, health level, vital data, environmental data, and information on the health condition of the past worker U determined by the determination unit 33.

Next, the operation of the health management support device 1 will be described with reference to a flowchart. FIG. 12 is a flowchart showing an example of processing by the processing unit of the health management support device according to the first embodiment.

As shown in FIG. 12, the processing unit 30 of the health management support device 1 determines whether or not the vital data has been acquired (step S10). When the processing unit 30 determines that the vital data has been acquired (step S10: Yes), the processing unit 30 stores the acquired vital data in the storage unit 20 (step S11).

When the processing of step S11 is completed or when it is determined that the vital data has not been acquired (step S10: No), the processing unit 30 determines whether or not the environment data has been acquired (step S12). When the processing unit 30 determines that the environmental data has been acquired (step S12: Yes), the processing unit 30 stores the acquired environmental data in the storage unit 20 (step S13).

When the processing of step S13 is completed or when it is determined that the environmental data has not been acquired (step S12: No), the processing unit 30 determines whether or not it is the health condition determination timing (step S14). The health state determination timing is, for example, a timing that occurs in a preset cycle. When the processing unit 30 determines that it is the health condition determination timing (step S14: Yes), the processing unit 30 determines the health condition of the worker U based on the data stored in the storage unit 20 (step S15).

When the processing of step S15 is completed or when it is determined that it is not the health condition determination timing (step S14: No), the processing unit 30 determines whether or not it is the notification timing (step S16). The processing unit 30 determines, for example, that it is the notification timing when the health condition of the worker U determined in step S15 is abnormal. When the processing unit 30 determines that it is the notification timing (step S16: Yes), the processing unit 30 notifies the worker terminal 5 of the health advice information (step S17), and notifies the employer terminal 6 of the health status of the worker U. (Step S18).

When the processing of step S18 is completed, or when it is determined that it is not the notification timing (step S16: No), the processing unit 30 determines whether or not there is a display request from the worker terminal 5 or the employer terminal 6. (Step S19). When the processing unit 30 determines that there is a display request from the worker terminal 5 or the employer terminal 6 (step S19: Yes), the processing unit 30 performs a display information generation process for generating display information in response to the display request (step S20). .. Such display information generation processing is the processing of steps S30 to S37 shown in FIG. 13, and will be described in detail later.

When the process of step S20 is completed, or when it is determined that there is no display request from the worker terminal 5 or the employer terminal 6 (step S19: No), the processing unit 30 ends the process shown in FIG. The processing unit 30 simultaneously performs the processing of steps S10 and S11, the processing of steps S12 and S13, the processing of steps S14 and S15, the processing of steps S16 to S18, and the processing of steps S19 and S20 shown in FIG. It can be carried out.

FIG. 13 is a flowchart showing an example of the display information generation process according to the first embodiment. As shown in FIG. 13, the processing unit 30 determines whether or not the display request is from the worker terminal 5 (step S30). When the processing unit 30 determines that the display request is from the worker terminal 5 (step S30: Yes), the processing unit 30 predicts the health state of the worker U (step S31). Then, the processing unit 30 generates display information including the past health condition information of the worker U determined in step S15 shown in FIG. 12 and the health condition information predicted in step S31 in a time series (step S32). ), The generated display information is transmitted to the worker terminal 5 (step S33).

When the processing of step S33 is completed, or when it is determined that the display request is not from the worker terminal 5 (step S30: No), the processing unit 30 determines whether or not the display request is from the employer terminal 6. Determine (step S34). When the processing unit 30 determines that the display request is from the employer terminal 6 (step S34: Yes), the processing unit 30 generates display information indicating a list of the determination results of the health status of the plurality of workers U (step S35). , The generated display information is transmitted to the employer terminal 6 (step S36).

When the processing unit 30 determines that the display request is not from the employer terminal 6 (step S34: No), the processing unit 30 performs other processing in response to the display request (step S37). When the process of step S36 is completed or the process of step S37 is completed, the processing unit 30 ends the process shown in FIG.

FIG. 14 is a diagram showing an example of the hardware configuration of the health management support device according to the first embodiment. As shown in FIG. 14, the health management support device 1 includes a computer including a processor 101, a memory 102, an input / output circuit 103, and a communication device 104.

The processor 101, the memory 102, the input / output circuit 103, and the communication device 104 can send and receive data to and from each other by the bus 105. The communication unit 10 is realized by the communication device 104. The storage unit 20 is realized by the memory 102. The processor 101 reads and executes the program stored in the memory 102, thereby causing the vital data collection unit 31, the environment data collection unit 32, the determination unit 33, the output unit 34, the prediction unit 35, and the recommended working time calculation unit 36. Perform the function of. The processor 101 is an example of a processing circuit, and includes one or more of a CPU (Central Processing Unit), a DSP (Digital Signal Processer), and a system LSI (Large Scale Integration).

The memory 102 includes one or more of RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), and EEPROM (registered trademark) (Electrically Erasable Programmable Read Only Memory). Including. The memory 102 also includes a recording medium on which a computer-readable program is recorded. Such recording media include one or more of non-volatile or volatile semiconductor memories, magnetic disks, flexible memories, optical disks, compact discs, and DVDs (Digital Versatile Discs). The health management support device 1 may include integrated circuits such as an ASIC (Application Specific Integrated Circuit) and an FPGA (Field Programmable Gate Array).

In the above-mentioned example, as the environmental data, the temperature, humidity, and oxygen concentration around the worker U are taken as an example, but the environmental data may be the data of the ambient environment of the worker U, for example. It may include data such as sound, brightness, or vibration around the worker U.

Further, the determination unit 33 is shown in Table 1 above so that, for example, the larger the number of vital sensors 3 of the wearable device 2 that cannot output vital data due to failure, the easier it is to determine that the health condition is abnormal. Each of the indicated thresholds can be changed. Further, the determination unit 33 determines the value of the feature corresponding to the sensor that has failed and cannot output vital data, among the plurality of features in the above formula (1) or the above formula (2), as the health state of the worker U. Can also be set so that it is easy to determine that is abnormal.

Further, when the determination unit 33 determines that the health condition of some of the workers U among the plurality of workers U working in the same work place is abnormal, the notification unit 37 remains. It is possible to notify the worker U of information indicating that the health condition of some workers U is abnormal. For example, when some workers U are workers U ₂ , the notification unit 37 provides the remaining information such as "The health condition of worker U ₂ working at the first plant is abnormal." It can be transmitted to the worker terminal 5 of the worker U. As a result, it is possible for other workers U around some workers U whose health condition is determined to be abnormal to quickly respond to some workers U. The notification unit 37 can determine a plurality of workers U in the same work place based on the work type information included in the vital data table 21.

In addition, the display processing unit 38 can generate display information in which icons indicating the health status of each worker U are arranged on the map. The icon indicating the health state is, for example, the icon shown in FIGS. 10 and 11. The output unit 34 can transmit the display information in which the icon corresponding to each worker U is arranged to the employer terminal 6. As a result, the employer K can easily grasp the relationship between the health condition of the worker U and the existence position.

In addition, the worker U can correct the determined health condition in the display information 61 shown in FIG. For example, the worker U can change the icon indicating the health state in the display information 61 by inputting to an input unit (not shown) on the worker terminal 5. For example, when the health condition in the display information 61 is changed by the worker U, the determination unit 33 can change each threshold value shown in Table 1 above based on the change result. For example, as shown in Table 1 above, the higher the rate of change from the icon indicating that the health condition is abnormal to the icon indicating that the health condition is normal, the easier it is to determine that the health condition is abnormal. Each threshold can be changed.

As described above, the health management support device 1 according to the first embodiment includes a vital data collection unit 31, an environmental data collection unit 32, a determination unit 33, and an output unit 34. The vital data collection unit 31 collects vital data detected by the vital sensor 3 provided in the wearable device 2 mounted on the worker U. The environmental data collection unit 32 collects environmental data which is data of the surrounding environment of the worker U. The determination unit 33 determines the health condition of the worker U based on the vital data collected by the vital data collection unit 31 and the environmental data collected by the environmental data collection unit 32. The output unit 34 outputs information based on the determination result by the determination unit 33. As described above, since the health management support device 1 determines the health condition of the worker U using not only the vital data but also the environmental data, the health management support device 1 determines the health condition of the worker U using only the vital data, as compared with the case where the health condition of the worker U is determined only by the vital data. The health condition of the worker U can be accurately determined.

Further, the output unit 34 notifies the worker terminal 5 and the employer terminal 6 of information based on the determination result by the determination unit 33 when the determination result by the determination unit 33 satisfies a preset condition. To be equipped. As a result, when the health condition of the worker U meets the preset conditions, the information on the health condition of the worker U can be notified to the worker U and the employer K, and the health condition of the worker U can be notified. Can properly support management.

In addition, the determination unit 33 determines whether or not the health condition of the worker U is abnormal based on the vital data and the environmental data. When the determination unit 33 determines that the health condition of the worker U is abnormal, the notification unit 37 provides information indicating that the health condition of the worker U is abnormal or advice on the health of the worker U. Notify the worker terminal 5 of the advice information to be shown. Therefore, it is possible to notify the worker U of the abnormal health condition or health advice, and to call the worker U's attention. As a result, it is possible to appropriately support the management of the health condition of the worker U.

Further, when the determination unit 33 determines that the health condition of the worker U is abnormal, the notification unit 37 notifies the employer terminal 6 of information indicating that the health condition of the worker U is abnormal. .. As a result, the employer K can grasp that the health condition of the worker U is abnormal, and manages the health condition of the worker U more appropriately than in the case where the health condition of the worker U cannot be grasped. It can be carried out.

Further, the determination unit 33 determines that the health condition of the worker U is abnormal when the abnormality determination condition in which the vital data is changed based on the environmental data is satisfied. As a result, the health condition of the worker U can be accurately determined based on the surrounding environment of the worker U.

Further, the determination unit 33 changes the abnormality determination condition based on the work type of the worker U. As a result, the health condition of the worker U can be determined more accurately.

In addition, the vital data collection unit 31 collects vital data detected by the vital sensor 3 from the wearable device 2 mounted on each of the plurality of workers U. The determination unit 33 changes the abnormality determination condition based on the vital data of the plurality of workers U. As a result, for example, when a plurality of workers U are at the same work site, the health condition of the worker U who is working in a state where the health condition is likely to become abnormal for some reason The deterioration can be grasped at an earlier stage. Therefore, the health condition of the worker U can be managed more appropriately.

In addition, the determination unit 33 determines the health condition for each worker U. The output unit 34 outputs display information indicating a list of health condition determination results of the plurality of workers U by the determination unit 33 to the employer terminal 6. As a result, the employer K can quickly grasp the health status of the plurality of workers U, and can appropriately manage the health status of the worker U.

In addition, the health management support device 1 includes a prediction unit 35 that predicts the health condition of the worker U based on the past health condition of the worker U determined by the determination unit 33. The output unit 34 displays display information indicating the time-series health condition of the worker U including the past health condition of the worker U determined by the determination unit 33 and the health condition predicted by the prediction unit 35. Output to 5. As a result, the worker U can appropriately grasp his / her health condition, and it becomes easy to manage the health condition.

Further, the health management support device 1 calculates the recommended working hours, which are the recommended working hours for the worker U, based on the determination result by the determination unit 33. The output unit 34 outputs information on the recommended working hours calculated by the recommended working hours calculation unit 36. As a result, the health condition of the worker U can be appropriately managed.

The configuration shown in the above-described embodiment shows an example of the content of the present invention, can be combined with another known technique, and is one of the configurations without departing from the gist of the present invention. It is also possible to omit or change the part.

1 Health management support device, 2, 2 ₁ , 2 ₂ , ..., 2 _n wearable device, 3 vital sensor, 4 environmental sensor, 5, 5 ₁ , 5 ₂ , ..., 5 _n worker terminal, 6 Employer terminal, 7 networks, 10,40,51 communication unit, 20 storage unit, 21 vital data table, 22 environmental data table, 23 health status history table, 30,41,55 processing unit, 31 vital data collection unit, 32 Environmental data collection unit, 33 judgment unit, 34 output unit, 35 prediction unit, 36 recommended working hours calculation unit, 37 notification unit, 38 display processing unit, 42 sensor, 42 ₁ heartbeat sensor, 42 ₂ blood pressure sensor, 42 ₃ body temperature sensor , 42 ₄ perspiration sensor, 42 ₅ respiratory rate sensor, 42 ₆ blink sensor, 42 ₇ sight sensor, 42 ₈ facial expression sensor, 42 ₉ EEG sensor, 52 temperature sensor, 53 humidity sensor, 54 an oxygen concentration sensor, 60 screen, 61, 62 display information, 100 health management support system, K _{employers, U, U} 1 ~U _n workers.

Claims (13)

A vital data collection unit that collects vital data detected by vital sensors installed in wearable devices worn by workers,
The Environmental Data Collection Department, which collects environmental data that is the data of the worker's surrounding environment,
A determination unit that determines the health condition of the worker based on the vital data collected by the vital data collection unit and the environmental data collected by the environmental data collection unit.
A health management support device including an output unit that outputs information based on a determination result by the determination unit. The output unit
When the judgment result by the judgment unit satisfies a preset condition, a notification unit for notifying the terminal of the worker and the terminal of the employer who employs the worker of information based on the judgment result is provided. The health management support device according to claim 1, which is characterized. The determination unit
Based on the vital data and the environmental data, it is determined whether or not the health condition of the worker is abnormal.
The notification unit
When the determination unit determines that the health condition of the worker is abnormal, the information indicating that the health condition of the worker is abnormal or the advice information indicating the health advice to the worker is provided. The health management support device according to claim 2, wherein the notification is sent to the terminal of the worker. The notification unit
When the determination unit determines that the health condition of the worker is abnormal, the claim is characterized in that the terminal of the employer is notified of information indicating that the health condition of the worker is abnormal. The health management support device according to item 3. The determination unit
Any one of claims 2 to 4, characterized in that the health condition of the worker is determined to be abnormal when the vital data satisfies the abnormality determination condition changed based on the environmental data. Health management support device described in. The determination unit
The health management support device according to claim 5, wherein the abnormality determination condition is changed based on the work type of the worker. The vital data collection unit
Vital data detected by the vital sensor is collected from wearable devices worn on each of the plurality of workers, and the vital data is collected.
The determination unit
The health management support device according to claim 5 or 6, wherein the abnormality determination condition is changed based on the vital data of the plurality of workers. The determination unit
The health condition is judged for each worker,
The output unit
The health management according to any one of claims 2 to 7, wherein display information indicating a list of determination results of a plurality of health conditions of the worker by the determination unit is output to the terminal of the employer. Support device. A prediction unit for predicting the health condition of the worker based on the past health condition of the worker determined by the determination unit is provided.
The output unit
Display information indicating the time-series health status of the worker including the past health status of the worker determined by the determination unit and the health status predicted by the prediction unit is output to the terminal of the worker. The health management support device according to any one of claims 1 to 8, characterized in that. A recommended working hour calculation unit for calculating recommended working hours, which is the recommended working hours for the worker, based on the judgment result by the determination unit is provided.
The output unit
The health management support device according to any one of claims 1 to 9, wherein the information on the recommended working hours calculated by the recommended working hours calculation unit is output. The health management support device according to any one of claims 1 to 10.
A health management support system comprising the wearable device. It is a health management support method executed by a computer.
A vital data collection step that collects vital data detected by vital sensors on wearable devices worn by workers, and
An environmental data collection step for collecting environmental data, which is data on the worker's surrounding environment, and
A determination step for determining the health condition of the worker based on the vital data collected by the vital data collection step and the environmental data collected by the environmental data collection step.
A health management support method including an output step for outputting information based on a judgment result by the judgment step. A vital data collection step that collects vital data detected by vital sensors on wearable devices worn by workers, and
An environmental data collection step for collecting environmental data, which is data on the worker's surrounding environment, and
A determination step for determining the health condition of the worker based on the vital data collected by the vital data collection step and the environmental data collected by the environmental data collection step.
A health management support program characterized by having a computer execute an output step that outputs information based on the judgment result of the judgment step.

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