Personal characteristics evaluation method, environmental load evaluation method, physical condition risk evaluation method and physical condition risk evaluation system

Abstract

To provide an evaluation method which can evaluate personal characteristics of an evaluation object person such as resistance to a thermal load and a load by the work, and evaluate an environmental load due to a working environment in a place where the evaluation object person is working, and evaluates a physical condition risk of the evaluation object person from the personal characteristics of the evaluation object person and the environmental load, and an evaluation system which evaluates the physical condition risk of the evaluation object person.SOLUTION: A first personal characteristics evaluation method disclosed in the present invention is the personal characteristics evaluation method for evaluating the personal characteristics of an evaluation object person by a computer that operates with a computer program, and performs the characteristics evaluation for any of the physical strength characteristics, life rhythm and recovery degree of the evaluation object person on the basis of heart rate data and acceleration data of the evaluation object person acquired by a measurement device 11.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present application relates to a health risk assessment method that uses a measuring device to acquire biometric information and environmental information of the person being assessed to evaluate the personal characteristics of the person being assessed and the environmental burden caused by the environment in which the person is assessed, and evaluates the health risk of the person being assessed based on the evaluation results of the personal characteristics and environmental burden, and a health risk assessment system that uses these assessment methods to evaluate the personal characteristics, health risk, and working environment of the person being assessed. [Background technology]

[0002] In recent years, biometric information acquisition and evaluation systems have been put into practical use, which detect and evaluate the health condition of an individual based on biometric information such as the individual's heart rate, body temperature, and acceleration data indicating physical movements acquired by wearable measuring devices.

[0003] As such an evaluation system, a heatstroke risk management system has been proposed which is equipped with a heart rate detection means for acquiring heart rate data of the person being evaluated, an acceleration detection means for acquiring acceleration data associated with the body movements of the person being evaluated, and a temperature detection means for detecting the temperature inside the person's clothes, and which calculates a work strain index indicating the intensity of the work performed by the person being evaluated and a heat load index for the worker, and calculates the risk of the person being evaluated developing heatstroke based on the work strain index and the heat load index (see Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2019-185386 A Summary of the Invention [Problem to be solved by the invention]

[0005] The conventional heatstroke risk management system described above is capable of detecting whether the person being evaluated is at high risk of developing heatstroke by evaluating the environment in which the person is being evaluated and the workload of the person being evaluated. If the person is determined to be at high risk of developing heatstroke, the system can prevent the onset of heatstroke by having them take measures to avoid the onset of heatstroke, such as instructing them to take a break.

[0006] However, while the conventional heatstroke risk management system described above could identify individuals who are currently at high risk of developing heatstroke, it was not able to determine the factors that increased the individual's risk of developing heatstroke.

[0007] The present application aims to solve the problems associated with the above-mentioned conventional technologies, and aims to provide an evaluation method and an evaluation system that enable evaluation of the individual characteristics of the person being evaluated, such as resistance to thermal load and work-related load, and evaluation of the environmental load caused by the work environment where the person being evaluated works, and further evaluate the physical condition risk of the person being evaluated based on the individual characteristics and environmental load. [Means for solving the problem]

[0008] In order to solve the above problems, the first personal characteristic evaluation method disclosed in the present application is a personal characteristic evaluation method for evaluating the personal characteristics of a person being evaluated by a computer operated by a computer program, and is characterized in that a characteristic evaluation is made of the person being evaluated with respect to any one of the physical fitness characteristics, life rhythm, or recovery level based on the heart rate data and acceleration data of the person being evaluated acquired by a measuring device.

[0009] In addition, the second personal characteristic evaluation method disclosed in the present application is a personal characteristic evaluation method for evaluating the personal characteristics of a person being evaluated using a computer operated by a computer program, and is characterized in that it evaluates the temperature characteristics of the person being evaluated based on the heart rate data, acceleration data, and temperature data of the person being evaluated acquired by a measuring device.

[0010] In addition, the environmental load assessment method disclosed in the present application is an environmental load assessment method that assesses the environmental load of a person being assessed by a computer operated by a computer program, and is characterized in that the environmental load of the person being assessed is assessed based on heart rate data, acceleration data, and temperature data of the person being assessed acquired by measuring devices.

[0011] Furthermore, the health risk assessment method disclosed in the present application is characterized in that the health risk of the person being assessed is assessed by a computer operated by a computer program based on the personal characteristic assessment results evaluated by the personal characteristic assessment method disclosed in the present application and the environmental load assessment results evaluated by the environmental load assessment method disclosed in the present application.

[0012] In addition, the health risk assessment system disclosed in the present application comprises a measuring device for acquiring biometric information of the person being assessed, and a cloud server operated by a computer program, and is characterized in that an evaluation judgment unit of the cloud server performs a health risk assessment of the person being assessed based on the biometric information of the person being assessed measured by the measuring device. Effect of the Invention

[0013] With the above configuration, the first individual characteristic evaluation method disclosed in the present application can evaluate the physical fitness characteristics, life rhythm, and recovery level of the person to be evaluated based on the relationship between the person's physical movements and heart rate.

[0014] Furthermore, with the above configuration, the second individual characteristic evaluation method disclosed in the present application can evaluate the temperature characteristics of the person to be evaluated based on the relationship between the person's body movements, heart rate, and environmental temperature.

[0015] Furthermore, the environmental load assessment method disclosed in the present application can assess the environmental load that the assessee receives from the environment based on the relationship between the assessee's physical movement, heart rate, and environmental temperature.

[0016] Furthermore, the physical condition risk assessment method disclosed in the present application can assess the physical condition risk of the person being assessed based on the personal characteristic assessment results and the environmental load assessment results of the person being assessed.

[0017] In addition, in the health risk assessment system disclosed in the present application, the evaluation determination unit of the cloud server evaluates the health risk of the person being assessed based on the biometric information obtained from the person being assessed.

[0018] According to the evaluation methods disclosed in this application, by quantifying events that cause heatstroke, poor health, etc. based on accumulated biometric data, it is possible to propose improvement plans to reduce various health and environmental risks, which can lead to improvements in individual health and working environments. [Brief description of the drawings]

[0019] [Figure 1] FIG. 1 is a block diagram showing the configuration of each unit of a health evaluation system described as an embodiment. [Diagram 2] FIG. 2 is a graph showing the relationship between the metabolic equivalent and heart rate of the subject. [Diagram 3] FIG. 3 is a radar chart showing the average evaluation points for each evaluation item of subjects evaluated by the physical condition risk evaluation method according to this embodiment. [Figure 4] FIG. 4 is an example of a radar chart used to explain the evaluation result to the person being evaluated by the physical condition risk evaluation method according to this embodiment. [Diagram 5] FIG. 5 shows an example of a comment made by an assessee in response to the evaluation result of the physical condition risk evaluation method according to this embodiment. [Figure 6] FIG. 6 is a diagram illustrating the distribution of the physical condition risk assessment results of the assessees, which are assessed by the physical condition risk assessment method according to this embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0020] The first personal characteristic evaluation method disclosed in the present application is a personal characteristic evaluation method that evaluates the personal characteristics of a person being evaluated using a computer operated by a computer program, and performs a characteristic evaluation of the person being evaluated regarding any of their physical fitness characteristics, daily rhythm, or recovery level based on the person's heart rate data and acceleration data acquired by a measuring device.

[0021] In this way, the extent to which physical movement affects heart rate can be determined, and the person being evaluated can be evaluated for their physical strength, lifestyle, and degree of recovery.

[0022] A second personal characteristic evaluation method disclosed in the present application is a personal characteristic evaluation method for evaluating personal characteristics of an assessee by a computer operated by a computer program, comprising the steps of: The temperature characteristics of the subject are evaluated based on the heart rate data, acceleration data, and temperature data of the subject acquired by a measuring device.

[0023] In this way, the temperature characteristics of the person being evaluated can be evaluated based on the difference in the effect that physical movement has on heart rate due to environmental temperature conditions.

[0024] In addition, the environmental load assessment method disclosed in the present application is an environmental load assessment method that assesses the environmental load of a person being assessed by a computer operated by a computer program, and evaluates the environmental load of the person being assessed based on heart rate data, acceleration data, and temperature data of the person being assessed acquired by measuring devices.

[0025] In this way, it is possible to evaluate the amount of stress that the environment in which the person is being evaluated places on the person being evaluated, based on changes in the person's heart rate data.

[0026] In addition, the health risk assessment method disclosed in the present application assesses the health risk of the person being assessed by a computer operated by a computer program based on the personal characteristic assessment results evaluated by the personal characteristic assessment method disclosed in the present application and the environmental load assessment results evaluated by the environmental load assessment method disclosed in the present application.

[0027] In this way, the health risk assessment method disclosed in the present application can assess the health risk of the person being assessed based on the personal characteristics of the person being assessed and the amount of stress that the environment in which the person being assessed places on the person being assessed imposes on the person being assessed.

[0028] In addition, it is preferable that the evaluation of the physical fitness characteristics is performed based on a heart rate response indicated as a change in heart rate depending on the physical activity level of the person being evaluated.

[0029] It is also preferable that the evaluation of the life rhythm is performed based on the heart rate of the person being evaluated at rest or under low load.

[0030] Furthermore, it is preferable that the assessment of the degree of recovery is based on the subject's past heart rate responses.

[0031] Furthermore, it is preferable that the evaluation of the temperature characteristic is performed based on the difference between the subject's heart rate response under high temperature conditions and the heart rate response under low temperature conditions.

[0032] It is also preferable that the environmental load is evaluated based on heat stress and work load.

[0033] Furthermore, the health risk assessment system disclosed in the present application comprises a measuring device that acquires biometric information of the person being assessed and a cloud server operated by a computer program, and an evaluation determination unit of the cloud server performs a health risk assessment of the person being assessed based on the biometric information of the person being assessed measured by the measuring device.

[0034] In this way, it is possible to simultaneously and accurately evaluate multiple assessees, and it is possible to evaluate the environmental load of a workplace involving multiple assessors based on the evaluation results obtained from each assessor.Furthermore, by accumulating the evaluation results of many assessees as data, it is possible to improve the evaluation methods for personal characteristics, environmental load characteristics, and physical condition risks, thereby further increasing the accuracy of the evaluation.

[0035] Below, the personal characteristic assessment method, environmental load assessment method, and health risk assessment method disclosed in the present application, as well as a health risk assessment system that assesses the person being assessed using these assessment methods, will be explained with reference to the drawings, along with an example of a health management system that manages the health of the person being assessed using the various assessment methods disclosed in the present application.

[0036] (Embodiment) In this embodiment, a heatstroke risk management system that evaluates and manages the risk of heatstroke in workers is shown and explained as an evaluation system in which multiple workers who work in relatively severe working conditions, such as on a construction site, in terms of both physical load and thermal environment, are used as evaluators to evaluate their physical condition risk.

[0037] More specifically, the physical condition evaluation system described in this embodiment is implemented for construction site workers who are subjected to heavy physical and thermal loads, such as heavy labor under the hot sun, and is intended to enable managers such as site supervisors to manage the workers under their supervision (those evaluated in the evaluation method) to prevent them from suffering from heatstroke.

[0038] Note that the heatstroke risk management system described below is merely an example of a system that employs the physical condition risk assessment method disclosed in the present application, and the individual components that make up the example system and the data processing contents do not in any way limit the physical condition risk assessment method disclosed in the present application, nor the personal characteristic assessment method or environmental load assessment method disclosed in the present application.

[0039] [Overall system configuration] FIG. 1 is a block diagram showing an example of the configuration of each part of a heat stroke development risk management system described in this embodiment.

[0040] As shown in Fig. 1, a worker 10 working at a construction site wears a biosensor 11, which is a measuring device equipped with a three-dimensional acceleration sensor that is an acceleration detection means for detecting temperature, heart rate (pulse) data, and body movement, and also carries a smartphone 12 as a mobile terminal that functions as an information transmission unit that transmits various information obtained by the biosensor 11 to the outside. In the heat stroke development risk management system described in this embodiment, the worker 10 corresponds to a person under management.

[0041] In the heat stroke risk management system described in this embodiment, the biosensor 11 that acquires various information of the worker 10 is, for example, a wristwatch-type measurement terminal, and the worker 10 wears this measurement terminal on his / her non-dominant arm while working. When the biosensor 11 is a wristwatch-type, the temperature measured by the biosensor is the temperature around the arm. In another embodiment, the biosensor 11 can be a measurement terminal detachably attached to the chest part of an undershirt worn by the worker 10. In this case, the temperature measured by the biosensor 11 is the temperature inside the clothes of the worker 10.

[0042] The biosensor 11 and the smartphone 12 carried by the worker 11 are constantly connected via short-range communication such as Bluetooth (registered trademark), and various information acquired by the biosensor 11 is sent to the smartphone 12 at any time.

[0043] The smartphone 12 is constantly connected to the Internet 20 as a network environment using wireless LAN or a mobile phone information carrier via an assessee information transmitting unit 13, which transmits information about the worker 10 sent from the biosensor 11, a data receiving unit 15, and a data transmitting unit 16. The smartphone 12 transmits the assessee information, which is the temperature, heart rate data, and acceleration sensor measurement data obtained from the biosensor 11 of the worker 10, to a cloud server 21, which is a server equipped with an evaluation judgment unit 22 installed on the Internet 20 and which evaluates each item.

[0044] The cloud server 21 includes a data receiving unit 23 and a data transmitting unit 26, and can transmit and receive information via the Internet 20. It also includes an evaluation and determination unit 22, and receives measurement data from a plurality of workers 10 to evaluate the individual characteristics, working environment, and physical condition risk of each worker. If the risk of developing heat stroke increases, it creates warning information to warn the worker of this. Furthermore, the cloud server 21 includes a data recording unit 24, and can record the measurement data from each of the plurality of workers 10, the history of the creation of warning information, and the like in chronological order.

[0045] Furthermore, the cloud server 21 has a weather information acquisition unit 25, which can acquire weather information from an information site that provides weather information via the Internet 20, and can obtain current weather conditions such as temperature, humidity, and amount of sunlight in the area where the worker 10 is working, as well as a weather forecast that anticipates changes within the next few hours.

[0046] The cloud server 21 is also connected via the Internet 20 to a personal computer 31 that serves as a manager information terminal used by a site supervisor 30, who is a manager who supervises the work of the worker 10 who is the subject of heat stroke risk assessment at the construction site. Therefore, the site supervisor 30 at the work site where the worker 10 is working can grasp, by the data receiving unit 33 of the personal computer 31, the measurement results obtained from the worker 10 that are transmitted from the cloud server 21 at any time, and whether or not warning information has been generated by the evaluation and assessment unit 22.

[0047] The evaluation and judgment unit 22 of the cloud server 21 evaluates the physical condition of the worker 10 based on the temperature data, heart rate data, and acceleration data obtained from the biosensor 11, which is a measuring device worn by the worker, and calculates a heatstroke development risk index for the worker 10.

[0048] It should be noted that the details of the heat stroke risk assessment performed by the assessment unit 22 will not be explained here.

[0049] In addition, the cloud server 21 can correct the heatstroke risk assessment results for the worker 10 based on historical data as past history information of the worker 10 being evaluated recorded in the data recording unit 24, weather information for the work area acquired by the weather information acquisition unit 25, and environmental information such as changes in various information acquired from workers other than the worker being evaluated who work at the same site as the worker being evaluated, thereby making a more realistic assessment and judgment of the risk of developing heatstroke.

[0050] In the heat stroke risk management system exemplified in this embodiment, the evaluation and determination unit 22 is not limited to be provided in the cloud server 21. For example, various functions of the cloud server 21, including the risk determination unit, may be implemented on an administrator information terminal or a management computer of a business establishment, and as long as the functions can be realized, the location or device on which the evaluation and determination unit is implemented is not important.

[0051] The site supervisor 30's personal computer 31 is equipped with an information management unit 32 that manages various information obtained by the measuring devices for the workers belonging to the work site supervised by the site supervisor 30, including the worker 10, and whether or not warning information has been generated. The information management unit 32 always keeps track of the latest information on the basis of the information obtained from each worker and information that serves as the basis for evaluating and judging the risk of heat stroke, such as whether or not warning information has been generated, based on the information transmitted from the cloud server 21. The information management unit 32 also outputs the obtained evaluation and judgment results of the risk of heat stroke for each worker and other environmental information to a display image processing unit 35, which adjusts the screen content displayed on a display device 36 such as a liquid crystal monitor.

[0052] In this way, the site supervisor 30 can grasp the information of the workers 10 working at the work site he supervises, the risk of developing heat stroke, etc., in a unified manner as a whole, or as detailed information on each individual worker, on an easy-to-read screen. Note that the specific screen contents displayed on the display device 36 processed by the display image processing unit 35 need only be able to display the information required by the appropriately configured system in an easy-to-read manner, and therefore a detailed description of the specific contents will be omitted in this specification.

[0053] Furthermore, the site supervisor's computer 31 can check whether the worker 10 has taken measures to prevent the onset of heat stroke by receiving various information from the worker 10 after notifying the warning information and confirmation of receipt of the warning information from the worker 10. If the worker 10 has not taken any measures to prevent the onset of heat stroke, the site supervisor can alert the worker 10 by repeatedly transmitting the warning information to the worker 10 in question.

[0054] In addition, if it is possible for the site supervisor 30 to take measures to improve the working environment at the work site, such as air conditioning and ventilation, he or she can implement such measures appropriately to prevent the onset of heatstroke at the work site he or she is supervising.

[0055] In the above description, an example has been described in which the evaluation and judgment unit 22 of the cloud server 21 generates warning information informing the worker 10 that the risk of developing heatstroke is increasing, but the warning information can also be generated by the information management unit 32 installed in the computer 31 of the site supervisor 30. It is also possible to set both the evaluation and judgment unit 22 and the information management unit 32 to generate warning information. In this way, the computer 31 of the site supervisor 30 who actually supervises the work site generates warning information prior to the judgment result of the evaluation and judgment unit 22 and transmits it to the target worker 10, which may further reduce the risk of developing heatstroke depending on the actual conditions of the work site.

[0056] The warning information generated by the evaluation and judgment unit 22 of the cloud server 21 or the personal computer 31 of the site supervisor 30 is transmitted from the data transmission unit 34 of the personal computer 31 of the site supervisor 30 to the smartphone 12 carried by the worker 10 via a network including a local network such as a wireless LAN and an information carrier of a mobile phone. The warning notification unit 14 of the smartphone 12 that receives the warning information notifies the worker 10 that the risk of developing heat stroke is increasing using various information transmission means such as voice, screen display, lighting or blinking of a lamp, and vibration. The worker 10 who has confirmed the warning information reports that he or she has received the warning information through the touch panel or operation button of the smartphone 12, and takes measures to prevent heat stroke, such as stopping work and taking a rest.

[0057] The smartphone 12 of the worker 10 transmits to the computer 31 of the supervisor 30 a message indicating that the worker 10 has confirmed the warning information and stopped working, and the supervisor 30 can confirm that the worker 10 has taken measures to prevent the onset of heatstroke.

[0058] Furthermore, in the heat stroke risk management system described in this embodiment, the site supervisor 30 transmits the heat stroke risk data at the work site to the smartphone 12 of the worker 10, so that the worker 10 can check the current heat stroke risk at the work site where he or she works. For example, if it is confirmed that the risk of heat stroke of workers other than the worker 10 is high, each worker can take measures to proactively prevent the onset of heat stroke. Also, if it is known that there are other workers who have received warning information about the risk of heat stroke and stopped working, it is expected that the worker will respond more readily to the warning information from the site supervisor 30 addressed to him or her.

[0059] Furthermore, the smartphone 12 owned by the worker 10 can display on a screen the change in the risk of developing heat stroke of the worker 10 up to now, the worker's own heart rate acquired by the biosensor 11, the evaluation result of the worker's health condition calculated from the acceleration data, calories burned, and other related information, so that the worker 10 can refer to it himself. As for the display screen of the smartphone owned by the worker 10, it is sufficient if it can display necessary information according to each purpose in an easily viewable manner, so a detailed description will be omitted in this specification.

[0060] The cloud server 21 is also connected to a management computer 41 in the company or business 40 to which the worker 10 belongs via the Internet 20, and transmits the measurement result information of the worker 10 transmitted to the computer 31 of the site supervisor 30 and various information used by the cloud server 21 to judge the risk of developing heat stroke to the management computer 41 of the business 40 in real time. The management computer 41 of the business 40 is equipped with its own data receiving unit 42 and data transmitting unit 43, and is also connected to the computer 31 of the site supervisor 30 via the Internet, and can confirm information such as whether the warning information from the site supervisor 30 has been correctly transmitted to the worker 10 and whether the worker 10 has taken preventive measures against heat stroke, and can give predetermined instructions as necessary. In this way, the business 40 to which the worker 10 belongs can also confirm the situation of the worker 10 and the response at the work site, and can back up the avoidance of the risk of developing heat stroke for the worker 10.

[0061] In addition, since the cloud server 21, the personal computer 31 of the site supervisor 30, and the management computer 40 of the business establishment 40 are connected via the Internet 20, it is possible to access the cloud server 21 from the personal computer 31 and the management computer 40, thereby controlling the data processing content in the cloud server 21, updating the judgment program in the evaluation and judgment unit 22, and appropriately retrieving information necessary for heatstroke prevention and management from the cloud server 21.

[0062] In the above explanation, a smartphone is used as an example of a mobile terminal carried by a worker; however, the mobile terminal of a worker is not limited to a smartphone, and mobile phones, tablet devices, and even dedicated small terminal devices capable of sending and receiving information specialized for heatstroke risk management systems can be used.

[0063] Furthermore, if the biosensor 11 worn by the worker 11 is wristwatch-type and capable of directly transmitting and receiving data between the biosensor 11 and the cloud server 21 via the Internet environment, and is equipped with a notification means for notifying the worker 11, who is the person being evaluated, that he or she is at increased risk of developing heatstroke, then the worker 11 will no longer need to carry a mobile terminal such as a smartphone 12 as a relay device for the bioinformation.

[0064] Furthermore, the above explanation describes a form in which warning information is sent from the site supervisor's manager information terminal to the worker's mobile terminal, but if the warning information is generated in the evaluation and judgment section of the cloud server, the system can also be configured to send the warning information directly from the cloud server to the worker's mobile terminal.

[0065] In addition, when managing the risk of heat stroke of workers at a construction site, as in the heat stroke risk management system exemplified in this embodiment, the location of the workers to be managed is limited to within the construction site. In addition, since the work period also lasts for a certain number of days or more, it is also possible to build a wireless LAN at the construction site. In this way, when the managed persons are only present within a certain range, a unique wireless LAN can be built, and the transmission of the biometric information of each worker to the site supervisor's manager information terminal can be performed within the LAN without going through the Internet. In this case, by connecting to the Internet from the manager information terminal or from an information device such as a server unit or another personal computer installed in the LAN, the risk determination unit in the cloud server can determine the risk of heat stroke, and the weather information acquired by the weather information acquisition unit can be used. In addition, a risk determination unit for determining the risk of heat stroke can be provided in a server unit or a personal computer connected to the LAN at the construction site.

[0066] On the other hand, when the heat stroke risk management system targets workers in the transportation industry, for example, it is assumed that the managed person will move long distances. Even in such a case, the heat stroke risk management system exemplified above has the advantage that it can respond as it is even if the managed person does not stay in a specific location, because the information from the managed person's measuring device is managed and evaluated on a cloud server located on the Internet.

[0067] [Physical condition risk assessment method] Next, specific details of the personal characteristic evaluation, the environmental load evaluation, and the health risk evaluation method using these in the health risk evaluation system disclosed in the present application will be described.

[0068] In the physical condition risk assessment method disclosed in the present application, the assessment unit 22 of the cloud server 21 assesses the physical fitness characteristics, life rhythm, and recovery level, which are personal characteristics of the person to be assessed, based on the heart rate data of the person to be assessed detected by the heart rate detection means provided in the biosensor 11 (measurement device) worn by the person to be assessed, and the acceleration data acquired by a three-dimensional acceleration sensor. In addition, the assessment unit 22 of the cloud server 21 assesses the temperature characteristics, which are personal characteristics of the person to be assessed, and the environmental load, based on the temperature information obtained by the temperature sensor provided in the biosensor 11 (measurement device), the heart rate data of the person to be assessed, and the acceleration data.

[0069] (Physical fitness evaluation) The physical fitness characteristic evaluation as a personal characteristic evaluation is performed by the evaluation judgment unit 22 using the heart rate response, which is the change in heart rate according to the amount of physical activity, based on the heart rate data and acceleration data measured by the biosensor 11, and the evaluation result is expressed as a score from 1 to 5 points.

[0070] In the following description of the physical fitness evaluation method, the data obtained in the i-th order by the biosensor 11 is Time: 't (min) [i]" the time of the i-th output data, Heart Rate: HR (min) [i]” time t (min)[i] Median heart rate, Heart rate detection rate: Q HR (min) [i]” time t (min) [i] Median heart rate detection rate, Metabolic equivalent: “MET (min) [i]” time t (min) [i] 1-minute average metabolic equivalent, It stipulates that:

[0071] In the physical fitness characteristic evaluation, the heart rate detection rate "Q HR (min) Using the data for the time when "i" is greater than a certain percentage (for example, 5%), the metabolic equivalent and heart rate data (MET (min) [i], H.R. (min) [i]) is the metabolic equivalent MET (min) Divide [i] into the following 9 subintervals 1. [Section 1] 1.00≦MET (min) [i]<1.50 2. [Section 2] 1.25≦MET (min) [i]<1.75 3. [Section 3] 1.50≦MET (min) [i]<2.00 4. [Section 4] 1.75≦MET (min) [i]<2.25 5. [Section 5] 2.00≦MET (min) [i]<2.50 6. [Section 6] 2.25≦MET (min) [i]<2.75 7. [Section 7] 2.50≦MET (min) [i]<3.00 8. [Section 8] 2.75≦MET (min) [i]<3.25 9. [Section 9] 3.00≦MET (min) [i]<3.50 Each subsection is 0.5 METs wide, shifted in increments of 0.25 MET, and has some overlap.

[0072] FIG. 2 is a graph showing the relationship between the metabolic equivalent and heart rate of the subject.

[0073] In each subsection, MET (min) [i], H.R. (min) Calculate the median of each of [i], and plot the vertical axis as heart rate HR as shown in Figure 2. (min) [i], horizontal axis is MET (min) The graph is shown as [i], and a straight line (52) is fitted to the median value x (51) by the least squares method. HEART RATE[bpm]=α MET MET+HR (0) (1) Apply the following.

[0074] Here, "α MET ” is the slope of the line, “HR (0) " is the intercept. Furthermore, the heart rate HR corresponding to 1 METs is (1) of HR (1) =HR (0) +=α MET (2) is defined as:

[0075] The score for physical strength is determined by the following criteria. However, in addition to the following conditions, α MET If it is <5.5 [bpm / MET], subtract 1 point. HR (1) ≧100[bpm] 1 point 100[bpm]>HR (1) ≧90[bpm] 2 points 90[bpm]>HR (1) ≧80[bpm] 3 points 80[bpm]>HR (1) ≧70[bpm] 4 points 70[bpm]>HR (1) ... 5 points.

[0076] In the above calculation, if the median of even one subinterval cannot be found, i.e., if there is no point in the subinterval, the above method is not used and the score is found by the following method. Heart rate detection rate "Q HR(min) [i]" is greater than a certain percentage (for example, 5%), and 1 [METs] ≦ MET (min) Median HR for [i]<2[METs] mid Seeking HR (1) =HR mid -4[bpm] (3) Let us assume that.

[0077] At this time, the score for physical fitness is determined according to the following criteria: HR (1) ≧100[bpm] 1 point 100[bpm]>HR (1) ≧90[bpm] 2 points 90[bpm]>HR (1) ≧80[bpm] 3 points 80[bpm]>HR (1) ≧70[bpm] 4 points 70[bpm]>HR (1) ... 5 points.

[0078] Physical fitness characteristics refer to physical characteristics such as physical strength and endurance. When physical strength and endurance are reduced, the line indicated by the reference numeral 52 in FIG. 2, which shows the relationship between the amount of physical activity (METs), which is the intensity of work, and the heart rate (HR), shifts upward or the slope of the line becomes smaller. MET Therefore, the heart rate at 1 METs, which is the resting state with almost no body movement, is the value of the Y-axis intercept of the graph in Figure 2, "HR (0) ", the physical fitness characteristics of the person being evaluated can be evaluated, and in the physical condition risk assessment system shown in this embodiment, the above five categories are set and the assessment points are determined.

[0079] (Temperature characteristic evaluation) The temperature characteristic evaluation as an individual characteristic evaluation indicates the degree of resistance to heat as a temperature resistance, and evaluates the effect of changes in environmental temperature (temperature rise) on the body based on the heart rate data, acceleration data, and temperature data measured by the biosensor 11. More specifically, the evaluation determination unit 22 obtains the heart rate response under high temperature and low temperature conditions, evaluates the increase in heart rate due to the increase in temperature, and expresses the evaluation result as a score from 1 to 5 points.

[0080] In the following description of the temperature characteristic evaluation method, the data obtained by the biosensor 11 at the time “t (min) [i]", heart rate "HR (min) [i]", heart rate detection rate "Q HR (min) [i]”, metabolic equivalent “MET (min) In addition to each of the indicators in [i], Temperature: "Tw[i]" 1 minute average temperature sensor measurement value [℃] It stipulates that:

[0081] If the biosensor 11 is a wristwatch type, the temperature is the temperature around the arm, and if the biosensor 11 is a measurement terminal removably attached to the chest part of an undershirt, the temperature is the temperature inside the clothing. The reference temperature in the following temperature characteristic evaluation can be changed by 2 to 3 degrees Celsius to correspond to the difference in the measurement site.

[0082] In the temperature characteristic evaluation, the 75% point (third quartile) of the temperature "Tw[i]" is calculated for the data of the evaluation period t1≦ti≦t2, and this temperature is called T b [℃].

[0083] In the temperature characteristic evaluation, as in the physical fitness characteristic evaluation described above, the heart rate detection rate "Q HR (min) Use the data for the time when "[i]" is greater than a certain percentage (for example, 5%). For the data for the evaluation period t1≦ti≦t2, In high temperature conditions, T b ≦Tw[i]≦t b +5[℃] (4) In low temperature conditions, T b -5≦Tw[i]≦t b [℃] (5) Extract data that satisfies the following.

[0084] For each condition, metabolic equivalent and heart rate data (MET (min) [i], H.R. (min) [i]) is the metabolic equivalent MET (min) Divide [i] into the following 9 subintervals 1. [Section 1] 1.00≦MET (min) [i]<1.50 2. [Section 2] 1.25≦MET (min) [i]<1.75 3. [Section 3] 1.50≦MET (min) [i]<2.00 4. [Section 4] 1.75≦MET (min) [i]<2.25 5. [Section 5] 2.00≦MET (min) [i]<2.50 6. [Section 6] 2.25≦MET (min) [i]<2.75 7. [Section 7] 2.50≦MET (min) [i]<3.00 8. [Section 8] 2.75≦MET (min) [i]<3.25 9. [Section 9] 3.00≦MET (min) [i]<3.50 In the temperature characteristic evaluation, each partial section has a width of 0.5 METs, is shifted in increments of 0.25 METs, and there is overlap between each section.

[0085]

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[0086] The temperature characteristic score is H Res The following criteria will be used to determine H Res ≧3.0[bpm / ℃] 0 points 2.5≦HRes <3.0[bpm / ℃] 1 point 2.0≦H Res <2.5[bpm / ℃] 2 points 1.5≦H Res <2.0[bpm / ℃] 3 points 1.0≦H Res <1.5[bpm / ℃] 4 points H Res <1.0[bpm / ℃] 5 points.

[0087] The temperature characteristic evaluates the degree of strain on the body when the environmental temperature rises or falls. For this reason, the increase in heart rate when the environmental temperature around the wrist rises by 1°C in the case of a wristwatch-type measuring device, or the temperature inside the clothing rises by 1°C in the case of a measuring device attached to the chest of a T-shirt, is calculated as the heat strain index "H Res " and the evaluation score is determined based on this value.

[0088] (Life rhythm assessment) A lifestyle rhythm assessment evaluates the stability of lifestyle habits and determines whether or not one's lifestyle is being disrupted by accumulated fatigue, lack of sleep, poor health, etc.

[0089] The data used for the life rhythm evaluation is based on the assumption that the data is evaluated by this system for at least five days (d≧5) during the evaluation period t1≦ti≦t2, and heart rate data and acceleration data are acquired. First, in preparation for the evaluation, the low load heart rate HR d (low) (d is an index specifying the date).

[0090]

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[0091] The corrected heart rate is calculated using a method that applies the Kalman filter. The Kalman filter calculates the predicted heart rate from past data, evaluates the reliability of the predicted heart rate and the actual measured heart rate, and corrects the heart rate. The correction process is as follows:

[0092] 1. At the start of measurement, the predicted heart rate HR (pred) The initial value of [i] HR (pred) [1]=HR (min) [1] (12) Furthermore, the predicted heart rate HR (pred) The error variance of [i] is P n [1]=σ pred 2 =10 (13) If past data is available, the last HR (pred) [i] (14) P n [i] (15) Take over 2. Actual HR (min) [i] and predicted value HR (pred) Calculate the difference v[i] of [i]. v[i]=HR (min) [i]-HR (pred) [i] (16) However, HR (min) When [i] is NA, v[i]=0 (17) Let's say 3. Let the current time be t[i]. Heart rate detection rate Q HR (min) The error variance of the observations as a function of [i], σ obs 2 Calculate When v[i]≧-10[bpm],

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[0093] The score for the lifestyle rhythm assessment is determined based on the following criteria: 10bpm≦σ HR ··· 0 points 8bpm≦σ HR <10bpm 1 point 6bpm≦σ HR <8bpm... 2 points 4bpm≦σ HR <6bpm 3 points 2bpm≦σ HR <4bpm...4 points σ HR <2bpm...5 points.

[0094] In order to evaluate the stability of lifestyle habits as a life rhythm evaluation, the physical condition risk evaluation system disclosed in this application grasps the degree of variation in heart rate during low load, including during rest, by the standard deviation from long-term measurement data. Since a large variation in heart rate during low load can be considered to indicate the frequent accumulation of fatigue or lack of sleep, the evaluation score is determined by the size of the standard deviation of the heart rate.

[0095] (Recovery Assessment) The degree of recovery is evaluated by evaluating the degree of recovery from the load during rest. First, the parameters that linearly approximate the heart rate response are estimated using past data. The past data is assumed to be about one month long, covering the evaluation period t1≦ti≦t2.

[0096] The estimation of heart rate response of past data is Q HR (min)[i]>20% of historical data is used. (MET (min) [i],HR (min) [i]) to MET (min) Divide [i] into the following subintervals: 1. [Section 1] 1.00≦MET (min) [i]<1.50 2. [Section 2] 1.25≦MET (min) [i]<1.75 3. [Section 3] 1.50≦MET (min) [i]<2.00 4. [Section 4] 1.75≦MET (min) [i]<2.25 5. [Section 5] 2.00≦MET (min) [i]<2.50 6. [Section 6] 2.25≦MET (min) [i]<2.75 7. [Section 7] 2.50≦MET (min) [i]<3.00 8. [Section 8] 2.75≦MET (min) [i]<3.25 9. [Section 9] 3.00≦MET (min) [i]<3.50 In the recovery assessment, each subsection has a width of 0.5 METs, shifts in increments of 0.25 METs, and there is overlap between sections.

[0097] Next, in the same way as the physical fitness evaluation described above, the MET (min) [i], H.R. (min) Calculate the median of each of [i], and plot the vertical axis as heart rate HR as shown in Figure 2. (min) [i], horizontal axis is MET (min) The graph is shown as [i], and a straight line (52) is fitted to the median value x (51) by the least squares method.

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[0098] In the above calculation, if the median of even one subinterval cannot be found, that is, if there is no point in the subinterval, the following treatment is applied.

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[0099] The recovery score is HR R The following criteria will be used to determine 20bpm≦HR R ··· 0 points 16 bpm or less HR R <20bpm 1 point 12 bpm or less HR R <16bpm 2 points 8bpm≦HR R <12bpm 3 points 4bpm≦HR R <8bpm...4 points HR R <4bpm...5 points.

[0100] In order to evaluate the degree of recovery from the burden placed on the body due to rest, an evaluation point is determined based on a recovery index determined using the heart rate during a period considered to be low load, i.e. resting, from the heart rate response of the person concerned (degree of change in heart rate relative to the load: the slope of line 52 shown in Figure 2) based on past data. If recovery is sufficient, it can be considered that the heart rate during rest (low load) should have dropped to near the resting heart rate (intercept heart rate of the heart rate response line).

[0101] By evaluating the degree of recovery, it is possible to determine the length of break time required in relation to the workload as a characteristic of the individual. Also, for example, if the recovery levels of multiple people in the same environment are all rated low, this may be an opportunity to consider whether there are any problems with the way they take breaks or the environment of the break room.

[0102] (Environmental Impact Assessment) In assessing the environmental impact, the risk assessment index R(t) shown below is used.

[0103] First, the WBGT value is estimated. When the biosensor 11 is the above-mentioned wristwatch-type measurement terminal, WBGT=1.57 T W -21.9(T W >28) WBGT=22 (T W ≦28) (26) It becomes. Heat stress H[i] is

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[0104] first, 1. MET (min) [i]≦1.6 is MET (min) [i] is used as is 2. 1.6 <MET (min) HR at time t[i] when [i]<4.5 (min) If the output of [i] cannot be measured and is not available, MET (min) Use the value of [i] as is MET (min) If the value of [i] is available,

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[0105] The risk of working in the heat is assessed as follows:

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[0106] The score for the environmental impact assessment is determined based on the value of R(t) during the assessment period t1≦t≦t2, according to the following criteria: During the evaluation period t1≦t≦t2, R(t) ≧ 1.0 for 20% or more of the time ... 0 points The time when R(t) is 1.0 or more is 10% or more but less than 20% of the time. 1 point The time when R(t) is ≥ 0.8 is 10% or more of the time. And the time when R(t) is 1.0 or greater is less than 10% of the time. 2 points The time when R(t) is ≥ 0.5 is 20% or more of the time. And the time when R(t) is ≥ 0.8 is 5% or more of the total time... 3 points R(t) ≥ 0.5 for 20% or more of the time And the time when R(t) ≥ 0.8 is less than 5% of the time... 4 points The time when R(t) is greater than or equal to 0.5 is less than 20% of the time: 5 points.

[0107] In the environmental load assessment, the acceleration data and temperature data of the person being assessed are collected by a measuring device to determine the degree of heat buildup in the body depending on the intensity of the work and the environmental temperature. More specifically, the environment is divided according to the degree of the burden on the body, which is expressed as an increase in heart rate, and an assessment score is determined according to the time spent in each category.

[0108] Therefore, it is possible to determine the degree of stress that each subject receives from the environment, taking into account the extent to which environmental stress affects the body, which varies from person to person.

[0109] [Health risk assessment results] As described above, the physical condition risk assessment system described in this embodiment assesses five items, namely, physical strength characteristic assessment, temperature characteristic assessment, life rhythm assessment, and recovery level assessment, which evaluate the characteristics of the person being assessed, and environmental load assessment, which indicates the influence of the environment in which the person is located.

[0110] As mentioned above, each evaluation result is expressed as a score ranging from 0 or 1 to 5 points. In addition to judging the good or bad evaluation result for each item from the score for each evaluation item, the evaluation results for all five items can be understood together to comprehensively judge the physical condition risk of the subject.

[0111] FIG. 3 is a diagram showing an example of a radar chart summarizing the physical condition risk assessment results shown in this embodiment.

[0112] In Fig. 3, the average values ​​of the evaluation results for each evaluation item evaluated by the evaluation and judgment unit 22 of the cloud server 21 are summarized in a radar chart based on the biological information of 200 evaluation subjects engaged in the manufacturing industry who were the subjects of the heat stroke development risk evaluation system described as the embodiment above. As shown in Fig. 3, by expressing the evaluation results of the five evaluation items as a radar chart, it is possible to visually and easily grasp which item has a high risk factor. In addition, by expressing the evaluation results as a radar chart, it is possible to compare the overall average of the evaluation results shown in Fig. 3 with the evaluation results of each individual subject, to compare the evaluation results of each individual subject, and to easily grasp the change from the past evaluation results of the same subject.

[0113] For example, by calculating the average score for each evaluation item of the physical condition risk evaluation results for a specified evaluation period of about one to two weeks for each individual subject, and creating an evaluation report that shows the evaluation results for the most recent period and the period before that in a radar chart, it becomes possible to grasp at a glance the trends and changes in the evaluation results for each item in the physical condition risk evaluation of that subject.

[0114] Based on this evaluation result report, it will also be possible to provide each person being evaluated with specific advice on how to reduce their own health risks.

[0115] 4 and 5 are diagrams showing examples of a result report for reporting the evaluation result of the physical condition risk evaluation method according to this embodiment to the person being evaluated.

[0116] Figure 4 shows a radar chart summarizing the evaluation results for a given period of time for the person being evaluated. Figure 5 shows an example of a comment that might be given when providing advice based on the evaluation results for the same person being evaluated for the same period of time.

[0117] As shown in Figure 4, by displaying the assessment results of the assessee for a specific period (period 1, period 2) as a radar chart for comparison, the changes in each assessment result of the assessee can be visually understood easily, and in particular, the changes in the balance of the five assessment items can be seen at a glance. This allows the assessee to clearly understand the changes in his or her physical condition and the points that need to be improved in order to live a healthier life.

[0118] Also, as shown in Figure 5, the evaluation scores for the subject's "physical strength characteristics," "temperature characteristics," "environmental burden," "life rhythm," and "recovery level" in Period 1 and Period 2 are displayed, and specific advice can be given to the subject to improve his / her lifestyle based on the change in the evaluation scores in the two periods. In this way, the subject can understand specific measures to live a healthier life, and in particular, the progress of the evaluation results in different evaluation periods can be shown to motivate the subject to further improve his / her lifestyle in the following period.

[0119] The comments entered in the comment section illustrated in Figure 5 are automatically made by the evaluation and judgment unit 22 of the cloud server 21 of the physical condition risk evaluation system disclosed in the present application, and the cloud server 21 can make an appropriate evaluation of the physical condition risk of each person being evaluated based on the vast amount of data acquired in this evaluation system.

[0120] Furthermore, in the physical condition risk assessment system shown in this embodiment, the magnitude of the physical condition risk of the person being assessed can be simply expressed by adding up the assessment points of the five assessment results.

[0121] FIG. 6 is a diagram showing an example of distribution of the total score of the physical condition risk evaluation result according to this embodiment.

[0122] Figure 6 shows the distribution of the sum of the scores for five evaluation items for the data obtained by conducting a health risk assessment in accordance with this embodiment from the biometric data of 200 people working in the manufacturing industry who were evaluated by the heatstroke development risk assessment system described in the Examples.

[0123] Based on the distribution of the total evaluation scores shown in Figure 5, where the maximum score is 25 points, the top 45% can be rated as "A," the next 45% as "B," and the remaining 10% as "C." This makes it possible to classify the level of physical risk of the person being evaluated in terms of their overall position.

[0124] As described above, the health risk assessment system disclosed in the present application is capable of comprehensively and accurately evaluating and determining the health risk of the person being assessed by the evaluation and determination unit of the cloud server evaluating the personal characteristics of the person being assessed, such as physical strength characteristics, temperature characteristics, daily rhythm, and recovery level, as well as the environmental load, which is an evaluation of the environment in which the person is located, based on the heart rate data of the person being assessed, acceleration data indicating the magnitude of movement, and temperature data obtained from a biosensor worn by the person being assessed.

[0125] In addition, by showing the evaluation results for each item as a score from 0 to 5 points, the balance of the evaluation items can be easily grasped, and it is easy to compare with the overall average, with other subjects, and with evaluation results of the same subject over different evaluation periods. Furthermore, by using the total evaluation points to represent the physical condition risk of the subject, it can be useful for overall classification.

[0126] In the above embodiment, the evaluation points for each item range from 0 to 5 points, but it goes without saying that the classification can be made with scores other than 5 points, such as 3 points, 7 points, etc., as long as the classification is not too rough and not too fine. However, from the viewpoint of grasping the overall evaluation results using the above-mentioned radar chart and grasping the tendencies of multiple assessees by the sum of the evaluation points, it is preferable to set the maximum evaluation points for each evaluation item to be the same.

[0127] In the above embodiment, the physical condition risk assessment disclosed in the present application is performed together with the heat stroke risk assessment. However, this is merely based on the fact that the assessment system uses the heart rate data, acceleration data, and temperature data of the person being assessed in common for the assessment, and the physical condition risk assessment system disclosed in the present application is not limited to being used simultaneously with the heat stroke risk assessment system. In addition, the physical condition risk assessment system disclosed in the present application does not take the measures required in the heat stroke risk assessment system, such as immediately stopping work based on the current assessment result of the person being assessed. For this reason, the physical condition risk assessment system does not require a manager to manage and supervise the multiple workers who are the people being assessed described in the above embodiment, and does not require a notification means to alert the people being assessed that the risk is increasing.

[0128] On the other hand, the physical condition risk assessment system disclosed in the present application can grasp the physical condition of each person to be assessed, including the intensity of work, environmental temperature, and the state of physical strength decline due to poor lifestyle habits. In particular, by continuously being the subject of assessment by the physical condition risk assessment system disclosed in the present application, it is possible to discover weaknesses that may lead to poor health for each person to be assessed, and to provide advice on what kind of improvement efforts should be made to reduce the risk of poor health. Furthermore, there is an advantage in that it is possible to make suggestions to prevent poor health in advance, such as by informing the person to be assessed who is working on improving their lifestyle habits of the results of their efforts.

[0129] In addition, in the above embodiment, it has been explained that the physical condition of the person being evaluated is evaluated from five perspectives, namely, "physical strength characteristics," "temperature characteristics," "environmental stress," "life rhythm," and "degree of recovery." However, the physical condition risk evaluation method disclosed in the present application is not necessarily limited to evaluation based on five items, and may also evaluate any one or more of the five items.

[0130] Furthermore, in the above embodiment, an example has been shown in which the evaluation results of the five evaluation items evaluated by the physical condition risk evaluation method disclosed in the present application are communicated to the person being evaluated. However, there is no problem with reporting information other than the five items mentioned above, such as the person's body temperature and heart rate measured by a measuring terminal, and further data such as weight and body fat percentage measured by the person being evaluated using a measuring device other than the measuring terminal exemplified above.

[0131] In the health risk assessment system disclosed in this application, data from a measuring device that acquires the biometric information of the person being assessed is received directly or indirectly by a cloud server on the Internet environment, and the health risk assessment of the person being assessed is performed based on the obtained data. Therefore, even if the person being assessed is not in one place or travels long distances, such as a driver working in the transportation industry, the person can be the subject of the health risk assessment.

[0132] Furthermore, the subjects of the physical condition risk assessment system disclosed in the present application are not limited to workers who work in environments with heavy workloads as exemplified above; for example, athletes can also be subjects of assessment, and the system can be used to evaluate the magnitude of stress during training and as an indicator of the degree of improvement in physical fitness through training.

[0133] It goes without saying that the specific evaluation criteria in the physical fitness characteristic evaluation, temperature characteristic evaluation, life rhythm evaluation, recovery evaluation, and environmental load evaluation described above can be appropriately changed as necessary. In addition, the measurement results and evaluation results in the health risk evaluation system disclosed in this application can be stored as data in a cloud server, so that past data can be analyzed to study evaluation criteria that can provide more accurate evaluation. In this case, it goes without saying that the evaluation criteria can be updated to preferred ones at any time using AI technology based on the so-called big data stored in the cloud server. [Industrial Applicability]

[0134] The personal characteristic evaluation method, environmental load evaluation method, and physical condition risk evaluation method disclosed in the present application, as well as the physical condition risk evaluation system for executing each of these evaluation methods, are useful as a method for managing the physical condition of a large number of subjects and an operation system thereof. In particular, they are excellent in that they can analyze factors that increase the risk of developing heat stroke, which could not be grasped by conventional heat stroke risk evaluation systems, and can obtain data for considering measures to prevent the risk of developing heat stroke from increasing. [Explanation of symbols]

[0135] 10. Worker (evaluated person) 11 Biosensors (measuring devices) 21 Cloud Server 22 Evaluation and Judgment Department

Claims

1. A personal characteristic evaluation method for evaluating personal characteristics of an assessee by a computer operated by a computer program, comprising: Based on the heart rate data and acceleration data of the subject acquired by the measuring device, A method for evaluating personal characteristics, comprising: evaluating the physical fitness characteristics, daily rhythm, or degree of recovery of the person being evaluated.

2. A personal characteristic evaluation method for evaluating personal characteristics of an assessee by a computer operated by a computer program, comprising: Based on the heart rate data, acceleration data, and temperature data of the subject acquired by the measuring device, A personal characteristic evaluation method, comprising evaluating the temperature characteristics of the person being evaluated.

3. An environmental impact assessment method for assessing the environmental impact of an assessee by a computer operated by a computer program, comprising: Based on the heart rate data, acceleration data, and temperature data of the subject acquired by the measuring device, An environmental load assessment method, comprising assessing the environmental load of the person being assessed.

4. A health risk assessment method, characterized in that the health risk of the person being assessed is assessed by the computer operated by a computer program based on personal characteristic assessment results evaluated by the personal characteristic assessment method described in claim 1 and / or claim 2 and environmental load assessment results evaluated by the environmental load assessment method described in claim 3.

5. The method for evaluating personal characteristics according to claim 1 , wherein the evaluation of the physical fitness characteristics is performed based on a heart rate response indicated as a change in heart rate depending on the physical activity level of the person being evaluated.

6. The method for evaluating personal characteristics according to claim 1 , wherein the evaluation of the life rhythm is performed based on the heart rate of the person being evaluated at rest or under low load.

7. The method for evaluating personal characteristics according to claim 1 , wherein the evaluation of the degree of recovery is performed based on the subject's past heart rate responses.

8. The method for evaluating personal characteristics according to claim 2 , wherein the evaluation of the temperature characteristic is performed based on the difference between the subject's heart rate response under high temperature conditions and the subject's heart rate response under low temperature conditions.

9. The method for evaluating environmental load according to claim 3 , wherein the evaluation of the environmental load is performed based on heat stress and workload.

10. A measuring device for acquiring biometric information of a person to be evaluated; A cloud server operated by a computer program; A health risk assessment system characterized in that the evaluation judgment unit of the cloud server performs a health risk assessment of the person being evaluated based on the biometric information of the person being evaluated measured by the measuring device.

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