Heat risk management method, heat risk management system and heat risk management program

Abstract

To provide new technology for appropriately managing a heat risk.SOLUTION: A heat risk management method uses: a determination device; a manager terminal; and an imaging apparatus. In this method, the determination device acquires a face image of an operator who performs an operation under heat environment, calculates state information regarding the operator on the basis of the face image, determines a heat risk of the operator on the basis of the state information, and transmits information regarding the heat risk to the manager terminal used by a manager who performs management regarding the operator.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a heat risk management method, a heat risk management system, and a heat risk management program. [Background technology]

[0002] Various health management technologies have been known in the past. In particular, regarding the risks associated with heat, for example, Patent Document 1 discloses a wearable device and a heatstroke detection method that can determine the possibility of developing heatstroke. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7347884 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the technology described in Patent Document 1 required the use of a wearable device, which posed problems such as the device interfering with work, the risk of loss, and the burden of managing it. The above problems and the cost made it difficult to introduce this technology, particularly when trying to manage the heat risk of workers working in hot environments.

[0005] Furthermore, the technology described in Patent Document 1 only allows the user of the wearable device to be notified of the determination result, and does not allow for appropriate information sharing.

[0006] In view of the above problems, an object of the present invention is to provide a novel technology for appropriately managing heat risks. [Means for solving the problem]

[0007] In order to solve the above problems, the present invention provides a heat risk management method using a determination device, a manager terminal, and an imaging device, in which the determination device acquires a facial image of a worker working in a hot environment, calculates condition information about the worker based on the facial image, determines the heat risk of the worker based on the condition information, and transmits information about the heat risk to the manager terminal used by a manager who manages the workers.

[0008] With this configuration, workers' heat risks can be shared with managers, who can then provide advice and take measures based on the risks. Furthermore, since the worker's heat risk can be determined from facial images, heat risk can be easily determined without interfering with work.

[0009] In a preferred embodiment of the present invention, the condition information is calculated based on physical condition information relating to the physical condition of the worker and / or fatigue information relating to fatigue of the worker, which are estimated from the face image.

[0010] It is known that heat-related changes in physical condition are influenced by not only the environment but also physical conditions. By configuring in this way, it is possible to more accurately determine heat risk than when risk is determined simply from body temperature.

[0011] In a preferred embodiment of the present invention, the heat risk of the worker is further determined based on temperature information relating to the temperature in the environment in which the worker works.

[0012] In a preferred embodiment of the present invention, the temperature information is an outside air temperature.

[0013] By adopting such a configuration, it is possible to more appropriately determine the risk of heat by taking into account the outside temperature, which has a significant impact on the risk of heat.

[0014] In a preferred embodiment of the present invention, the physical condition information includes information on at least one of lack of sleep, whether or not the user has had breakfast, and whether or not the user has a hangover.

[0015] With this configuration, condition information can be calculated based on physical condition information that is known to affect heat risk, allowing for more appropriate heat risk assessment.

[0016] In a preferred embodiment of the present invention, the imaging device is installed at a site where the worker performs work and captures the facial image.

[0017] This configuration makes it possible to capture facial images of workers at the actual work site. Even if there are multiple workers, it is sufficient to install an image capture device at each site, which reduces costs compared to using wearable devices.

[0018] In a preferred embodiment of the present invention, the imaging device is installed on a line of movement during the work.

[0019] With this configuration, facial images can be easily acquired during the work process, for example, when workers arrive and leave work, before and after breaks, etc., making it easier to ensure opportunities to assess heat risks.

[0020] In a preferred embodiment of the present invention, the determination device determines the heat risk from the status information based on past heat risk determination results for the worker.

[0021] This configuration makes it possible to take into account recent changes in heat risk, for example, so that if the heat risk was low recently but suddenly worsens, the heat risk can be estimated higher.

[0022] In a preferred embodiment of the present invention, the determination device estimates the worker's heat acclimation level based on the worker's most recent work status, and determines the heat risk based on the condition information and the worker's heat acclimation level.

[0023] It is known that heat risk also varies depending on an individual's heat acclimation status. By configuring the system in this way, heat risk can be more appropriately determined based on the most recent work situation in a hot environment.

[0024] In a preferred embodiment of the present invention, the determination device acquires health information relating to the health of the worker, and determines the heat risk based on the condition information and the health information.

[0025] This configuration allows for more appropriate heat risk assessment based on an individual's health condition.

[0026] In a preferred form of the present invention, the determination device transmits to the manager terminal the information regarding the heat risk, including the heat risk, the facial image, temperature information regarding the temperature in the environment in which the worker works, and humidity information regarding the humidity in the environment in which the worker works.

[0027] By configuring in this way, in addition to the heat risk assessment results, it is possible to provide managers with more specific information for making decisions, thereby more effectively supporting the management of heat risk for workers.

[0028] In a preferred embodiment of the present invention, the manager terminal receives the heat risks relating to a plurality of workers from the determination device and displays a list of the heat risks for each worker.

[0029] This configuration allows a manager who manages multiple workers to easily understand the heat risk of each worker, and can therefore use this information to decide which worker to call out to check on their health.

[0030] In a preferred embodiment of the present invention, the determination device generates a safety management report regarding safety measures based on the plurality of heat risks.

[0031] In order to solve the above problems, the present invention provides a heat risk management system comprising a determination device, an administrator terminal, and an imaging device, wherein the determination device has an acquisition unit, a calculation unit, a determination unit, and a transmission unit, wherein the acquisition unit acquires a facial image of a worker photographed by the imaging device, the calculation unit calculates status information regarding the worker based on the facial image, the determination unit determines the heat risk of the worker based on the status information, and the transmission unit transmits information regarding the heat risk to the administrator terminal used by the administrator who manages the workers.

[0032] In order to solve the above problems, the present invention provides a heat risk management program for managing the heat risk of workers working in a hot environment, which causes a computer to function as an acquisition unit, a calculation unit, a judgment unit, and a transmission unit, wherein the acquisition unit acquires a facial image of the worker, the calculation unit calculates status information regarding the worker based on the facial image, the judgment unit judges the heat risk of the worker based on the status information, and the transmission unit transmits information regarding the heat risk to a manager terminal used by a manager who manages the workers. [Effects of the Invention]

[0033] According to the present invention, a novel technique for appropriately managing heat risks can be provided. [Brief explanation of the drawings]

[0034] [Figure 1] FIG. 1 is a block diagram showing the configuration of a system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a hardware configuration diagram of an information processing apparatus and a terminal device according to the embodiment. [Figure 3] 1 shows an example of installation of an imaging device according to this embodiment. [Figure 4] 10 is a flowchart illustrating a heat risk determination process according to the present embodiment. [Figure 5] 10 is a display example of heat risk according to the present embodiment. [Figure 6] 10 shows an example of a display on an administrator terminal according to the present embodiment. [Figure 7] 10 shows an example of a display on an administrator terminal according to the present embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0035] The present invention will now be described in more detail with reference to the accompanying drawings, in which preferred embodiments are shown, but which may be embodied in many different forms and are not limited to the embodiments set forth herein.

[0036] For example, in this embodiment, the configuration, operation, etc. of a heat risk management system and a heat risk management method using the heat risk management system are described, but similar effects can also be achieved by a device having similar functions, a method executed by the device, a computer program that causes a computer device to execute the method, etc. The program may be provided as a non-transitory computer-readable recording medium, or may be provided so as to be downloadable from an external server.

[0037] <1. System configuration> Fig. 1 is a block diagram showing the configuration of a heat risk management system according to this embodiment. As shown in Fig. 1, the heat risk management system is configured by connecting a determination device 1, an administrator terminal 2, and an imaging device 3 so that they can communicate with each other via a network NW. In this embodiment, the network NW is an IP (Internet Protocol) network, but there are no restrictions on the type of communication protocol, the type of network, etc.

[0038] At least one imaging device 3 is installed at each work site. In the present invention, a work site is assumed to be one where a hot environment is expected, and examples of work sites include construction sites, factory sites, and facilities. The imaging device 3 is preferably installed on the route of workers' work. From the standpoint of the heat resistance of the imaging device 3 itself, the installation location does not have to be exactly the same as the work site, as long as it is a location where workers can pass through or stop by. For example, the imaging device 3 may be installed at an entrance or exit to the work site. Furthermore, multiple imaging devices 3 may be installed at one work site.

[0039] The manager terminal 2 is a terminal device used by a manager who manages workers. For example, a site supervisor at a construction site or an employee of a management company that manages construction work is included as a manager. It is preferable that there is a manager terminal 2 for each manager, and the heat risk management system of this embodiment is equipped with multiple manager terminals 2.

[0040] Note that some of the units included in each device may be included in another device. For example, some of the processing by the calculation unit 12, the determination unit 13, etc. may be performed in the administrator terminal 2, the imaging device 3, or another device.

[0041] One or more information processing devices 10 (computer devices), such as a general-purpose server or a personal computer, can be used as the determination device 1. In this embodiment, the determination device 1 is a terminal device 9 installed with a computer program (heat risk management program) that executes a heat risk management method.

[0042] A terminal device 9 (computer device) such as a personal computer, smartphone, or tablet terminal device can be used as the administrator terminal 2. The terminal device 9 can also be used as the imaging device 3. The imaging device 3 can also be configured by connecting a general camera and temperature / humidity sensor to a computer equipped with a communication function.

[0043] <2. Hardware configuration> Fig. 2(b) is a hardware configuration diagram of the information processing device 10. As shown in Fig. 2, the information processing device 10 has a control unit 101, a storage unit 102, and a communication unit 103, which are used to perform the functions of each unit and each process.

[0044] The control unit 101 has a processor such as a CPU that can execute an instruction set, and executes an OS and programs. The storage unit 102 has a volatile memory such as a RAM capable of storing an instruction set, and a non-volatile recording medium such as an HDD or SSD capable of recording an OS, a heat risk management program, a DBMS (database server), and the like. The communication unit 103 has an interface for physically connecting to a network, and controls communication with the network NW to input and output information.

[0045] Fig. 2(a) is a hardware configuration diagram of the terminal device 9. As shown in Fig. 2, the terminal device 9 has a control unit 901, a storage unit 902, a communication unit 903, an input unit 904, and an output unit 905, which are used to perform the functions of each unit and each process.

[0046] The control unit 901 has a processor such as a CPU that can execute an instruction set, and executes an OS, programs, and the like. The storage unit 902 includes a volatile memory such as a RAM capable of storing an instruction set, and a non-volatile recording medium such as an HDD or SSD capable of recording an OS, a determination program, and the like. The communication unit 903 has an interface for physically connecting to a network, and controls communication with the network NW to input and output information. The input unit 904 includes an operation input device capable of input processing such as a touch panel or keyboard, an audio input device capable of audio input such as a microphone, an imaging device capable of imaging processing such as a camera, a sensor capable of acquiring temperature and humidity, etc. The output unit 905 includes a display device capable of display processing, such as a display, and an audio output device, such as a speaker.

[0047] <3. Functional configuration> The determination device 1 includes an acquisition unit 11, a calculation unit 12, a determination unit 13, and a transmission unit 14. This is a specific implementation of software-based information processing using hardware.

[0048] The acquisition unit 11 acquires facial images of workers working in a hot environment. Specifically, images captured by the imaging device 3 are received as needed. The acquisition unit 11 of this embodiment also acquires temperature information related to the temperature in the environment where the worker works, along with the facial image. In this embodiment, the outside air temperature is used as the temperature information. Alternatively, for example, if the work environment is indoors, the room temperature may be used as the temperature information, or the heat index WBGT, which takes into account humidity and the environment in addition to temperature, may be used as the temperature information. Furthermore, the acquisition unit 11 may also acquire humidity information related to the humidity in the environment where the worker works.

[0049] The acquisition unit 11 then transfers the received facial image, temperature information, and humidity information to the calculation unit 12. In this embodiment, the calculation unit 12 identifies the individual worker based on the facial image. The acquisition unit 11 in this embodiment further acquires health information regarding the identified worker and transfers it to the calculation unit 12.

[0050] The calculation unit 12 calculates condition information about the worker based on the face image. The condition information is calculated based on physical condition information about the worker's physical condition and / or fatigue information about the worker's fatigue, which are estimated from the face image, and temperature information about the temperature in the environment where the worker works.

[0051] The calculation unit 12 of this embodiment first calculates information on sleep deprivation, whether breakfast was eaten, and whether the person has a hangover from the facial image as physical condition information. Regarding sleep deprivation and hangover, evaluation on a two-level scale (presence or absence) or on multiple levels (more than one level) or evaluation by a score is expected. For example, the physical condition information can be calculated using a machine learning model that uses the facial image and data on each physical condition information as learning data and outputs each physical condition information from the facial image as input. Alternatively, the physical condition information may be calculated using rule-based analysis.

[0052] Fatigue information is also calculated in a similar manner. Note that fatigue information may be calculated by further considering the working hours of the day and the most recent working situation in addition to the facial image. For example, a method of adding information about the working hours of the day and the most recent working situation to the input of the machine learning model, or a method of adjusting the numerical value output by the machine learning model based on the facial image by performing a predetermined calculation based on information about the working hours of the day and the most recent working situation, are conceivable.

[0053] In this embodiment, the calculation unit 12 also calculates the heat acclimation level for each worker. Heat acclimation level is an index that indicates the degree of acclimation to a hot environment. It is generally known that the more acclimated a worker is to heat, the less likely they are to experience heat-related changes in physical condition. Therefore, the determination device 1 of this embodiment determines heat risk by taking heat acclimation level into consideration. Note that the heat acclimation level does not have to be calculated by the calculation unit 12 each time; instead, it may be registered for each worker in advance, and the acquisition unit 11 may simply acquire it.

[0054] The calculation unit 12 of this embodiment calculates status information based on the temperature information and humidity information of the environment in which the worker works, in addition to the physical condition information and fatigue information. The status information may be calculated rule-based using a function in which a weight is assigned to each piece of information in advance, or may be calculated using a machine learning model or a deep learning model. The status information of this embodiment is a numerical value obtained by integrating the physical condition information, fatigue information, temperature information, and humidity information. Note that the status information may be the physical condition information and / or fatigue information itself.

[0055] The determination unit 13 determines the heat risk of the worker based on the worker's condition information calculated by the calculation unit 12. For example, the determination unit 13 can analyze the relationship between the condition information and heat risk using any statistical analysis method, and calculate the heat risk using the condition information as input based on the results. Alternatively, the determination unit 13 can learn the relationship between the condition information and heat risk using machine learning or deep learning technology, and estimate the heat risk from the condition information. The heat risk may be calculated numerically or may be evaluated using multiple levels, such as three levels of integers from 1 to 3.

[0056] Furthermore, information other than condition information may be taken into consideration when assessing heat risk. For example, heat risk may be assessed by calculating an evaluation value based on condition information and then adjusting the evaluation value based on other information. For example, in this embodiment, values corresponding to heat acclimation and health information are added to or subtracted from the evaluation value on a rule-based basis. Furthermore, for example, if a person reports feeling unwell on the morning of the day, a predetermined value may be added to the evaluation value, or the heat risk assessment result may be adjusted one level higher.

[0057] In this embodiment, some of the information used to calculate the status information may be taken into consideration by the determination unit 13 in determining the heat risk, instead of being used to calculate the status information. For example, the status information may be calculated based on physical condition information and fatigue information, and temperature and humidity information related to the work environment may be taken into consideration in the determination by the determination unit 13. Heat acclimation and health information may also be used to calculate the status information. Specifically, heat acclimation and / or health information may be used in the same way as physical condition information, fatigue information, temperature information, and humidity information as input to a function, machine learning model, or deep learning model for calculating the status information.

[0058] In other words, the judgment device 1 of this embodiment judges a worker's heat risk based on physical condition information, fatigue information, heat acclimation, health information, temperature information, and humidity information, but how these are used to judge the heat risk can be changed as desired.

[0059] The transmission unit 14 transmits information related to the heat risk determined by the determination unit 13 to the manager terminal 2. For example, in order to display a list of heat risks related to multiple workers managed by the manager on the manager terminal 2, the transmission unit 14 transmits the heat risk determination results and display processing results for the multiple workers to the manager terminal 2. The manager terminal 2 may display various statistical information, alerts, etc. related to the heat risk of the workers managed by the manager.

[0060] The determination device 1 of this embodiment also generates a safety management report on safety measures based on multiple heat risks, and the transmission unit 14 transmits it to the manager terminal 2. For example, the determination device 1 can aggregate the heat risk results, physical condition information, fatigue information, heat acclimation level, health information, temperature information, and humidity information for each work site for any period, such as one day, one week, or one month, and generate a safety management report by visually compiling the information using graphs and tables. For example, the acquisition unit 11 can receive information indicating activities taken at each work site for safety measures, such as the number of breaks, break duration, number of water replenishments, and amount of water replenishment, along with the date and time of the activities, via the manager terminal 2. The determination device 1 can then record these activities by linking them to each work site, and compile and output the safety management report. This allows the manager to personally evaluate and analyze the safety management status at the work site, or to present the safety management report to an external third-party organization for future countermeasures.

[0061] In this embodiment, information about the manager and workers is registered in advance in the memory unit of the determination device 1 or in an external database. The acquisition unit 11 and transmission unit 14 access the pre-registered information about the manager and workers to acquire and transmit the information. By linking the workers to be managed to the manager and registering them, the transmission unit 14 can transmit information about the heat risk of multiple workers managed by the manager to the target manager terminal 2.

[0062] The imaging device 3 includes an imaging unit 31, a measurement unit 32, and a display unit 33. The imaging unit 31 captures an image of the worker's face to generate a facial image. The measurement unit 32 measures the temperature and humidity to generate temperature information and humidity information. The display unit 33 displays the information received from the determination device 1.

[0063] FIG. 3 is a diagram showing an example of installation of the imaging device 3. In this embodiment, a construction site is assumed as the work site, and the imaging device 3 is installed at the entrance / exit of the construction site. Note that the installation location does not necessarily have to be the entrance / exit, but it is preferable to install the imaging device 3 on the line of movement during work. As shown in FIG. 3, a tablet terminal device equipped with a camera can be used as the imaging device 3 and installed at the work site. In this embodiment, a thermo-hygrometer is installed in the same position as the tablet terminal device, and is connected to the tablet terminal device to function as the measurement unit 32.

[0064] However, the configuration may be changed as desired. For example, the imaging device 3 and the thermo-hygrometer may be installed at positions slightly apart, and the imaging device 3 may acquire temperature and humidity information by communicating with each other. Specifically, a tablet terminal device (imaging device 3) may be installed near the entrance to the work site, and the thermo-hygrometer may be installed at the work site where the workers actually work. This makes it possible to acquire temperature and humidity information at the work site where the workers actually work, even when the work environment is particularly hot, while reducing the risk of the imaging device 3 breaking down due to heat.

[0065] <4. Heat risk assessment process> Next, the process for determining heat risk will be described with reference to Figure 4. The process shown in Figure 4 can be performed at any time, but by performing it at set times, such as when workers arrive and leave work or when breaks start and end, it can contribute to regular health management of workers. Furthermore, by linking information based on the time when facial images were acquired, attendance management, such as when workers arrive and leave work, can be easily performed. Furthermore, the process procedure shown in Figure 4 is an example, and the order of the processes may be changed as desired as long as it does not have an adverse effect.

[0066] First, in step S41, the imaging unit 31 captures an image of the worker's face to generate a facial image. The imaging process may be performed by accepting an instruction via the operation of a button or the like, or may be performed as needed to detect a face and acquire the image when a face is detected. The imaging device 3 then transmits the facial image to the determination device 1, and the acquisition unit 11 acquires it. In this embodiment, in step S41, the imaging device 3 transmits temperature information and humidity information along with the facial image to the determination device 1, and the acquisition unit 11 acquires them.

[0067] In step S42, the calculation unit 12 calculates the physical condition information and fatigue information of the worker based on the facial image. Specifically, the calculation unit 12 performs predetermined image processing on the facial image, calculates image feature amounts, and calculates the physical condition information and fatigue information from the image feature amounts. Any method can be used to calculate the image feature amounts and the condition information, and for example, machine learning technology can be used.

[0068] Next, in step S43, the calculation unit 12 determines which pre-registered worker the facial image belongs to, based on the facial image. In this embodiment, worker information is pre-registered in a database. Then, by taking into account the individual worker's information when determining the heat risk, the heat risk can be more appropriately evaluated.

[0069] Specifically, it is preferable to register worker information such as worker ID, name, affiliation, work site, facial photo, and health information in advance. Health information is information related to the health of a worker. In particular, it is preferable to use information that affects heat risk, such as information about illness or physical constitution, as health information. For example, the presence or absence of vascular diseases such as diabetes or hypertension, information about other medical history, age, gender, etc. can be used as health information.

[0070] Based on the facial photograph included in the worker information and the facial image acquired by the acquisition unit 11, the calculation unit 12 determines which worker the acquired facial image belongs to. Note that the determination device 1 of this embodiment transmits the worker ID of the identified worker and the time the facial image was taken to the attendance management system. Furthermore, the time stamp type, indicating arrival at work, departure from work, break start, break end, etc., may also be transmitted. This makes it possible to perform both attendance management and heat risk assessment, which is expected to improve convenience and ensure opportunities to assess heat risk.

[0071] Next, in step S44, the acquisition unit 11 acquires worker information about the worker identified in step S43. Specifically, the acquisition unit 11 acquires health information in particular. The acquisition unit 11 also acquires information about the most recent work situation of the worker identified in step S43. For example, work history may be registered in a database linked to the worker ID, and this information may be acquired.

[0072] Then, in step S45, the calculation unit 12 calculates the condition information. As described above, the condition information is calculated using the physical condition information, fatigue information, heat acclimation, health information, temperature information, and humidity information. The heat acclimation is calculated by the calculation unit 12 based on the worker's most recent work situation. The heat acclimation is calculated using a pre-set formula so that the more recent work in a hot environment, the higher the heat acclimation, and the less recent work in a hot environment, the lower the heat acclimation. For example, the number of working days and working hours under conditions where the temperature exceeds a predetermined standard can be used to calculate the heat acclimation.

[0073] In step S46, the determination unit 13 determines the heat risk based on the state information calculated by the calculation unit 12. In this embodiment, the state information is input into a calculation formula set by an arbitrary statistical analysis method to calculate an evaluation value. Then, based on the calculated evaluation value, the determination unit 13 classifies the heat risk into three levels, 1, 2, and 3, from lowest to highest, and determines the result as the heat risk. Note that the evaluation value itself may also be the heat risk.

[0074] In this embodiment, the determination unit 13 also determines the heat risk based on past heat risk determination results. The past heat risk determination results may be reflected in the heat risk in any manner, but one possible method is to add heat risk if the number of days or times during which the heat risk exceeded a predetermined standard within a predetermined period is equal to or greater than a predetermined number. More specifically, one possible method is to add an evaluation value if the number of days during the most recent week during which the heat risk was 3 was equal to or greater than a predetermined standard.

[0075] Furthermore, for example, the heat risk may be determined using the change from the previous evaluation value or heat risk assessment result. Specifically, if the difference from the previous evaluation value on the day is equal to or greater than a predetermined value, the heat risk assessment result may be increased.

[0076] Alternatively, the evaluation value and the heat risk assessment result itself may remain unchanged, and information based on a comparison with past heat risk assessment results may be added to the heat risk assessment result.

[0077] The transmission unit 14 then transmits the evaluation value and the heat risk determination result to the imaging device 3. Information based on the heat risk is displayed on the imaging device 3. FIG. 5 shows an example of heat risk display on the imaging device 3. The imaging device 3 displays the outside air temperature acquired by the measurement unit 32 at the top of the screen, and also displays images acquired by the imaging unit 31 in real time. Then, a display according to the heat risk is performed.

[0078] Figure 5(a) is an example of the display when the heat risk is at its lowest, 1. When the risk is low, large messages corresponding to the heat risk, such as "Caution" and "Continue to be careful!", are displayed, and an icon indicating the heat risk assessment result and an estimate of rest times are displayed at the top of the screen.

[0079] FIG. 5(b) is an example of a display when the heat risk is the highest at 3. When the risk is high, large words corresponding to the heat risk, such as "Very dangerous" or "Please notify your supervisor!", are displayed, and an icon indicating the heat risk assessment result and an estimate of break times are displayed at the top of the screen. Furthermore, when the heat risk is above a predetermined standard (in this embodiment, the heat risk assessment result is 3), it is preferable to significantly change the display format, such as changing the color of the entire screen, to call attention to the risk.

[0080] In step S47, the determination unit 13 links the heat risk to the worker information and registers it in the database. In this embodiment, a combination of the worker ID, the date and time the facial image was taken, the outside temperature, humidity, the evaluation value, and the heat risk determination result is registered in the database. Furthermore, if it is determined that the heat risk is high, it is preferable to send a notification to the manager terminal 2 at that time. Specifically, it is preferable to send the target worker, the time the facial image was taken, and the heat risk (evaluation value and determination result) to the manager terminal 2 to warn the worker.

[0081] <5. Sending information to the administrator's terminal> The information registered in this manner is transmitted to the administrator terminal 2 by the transmitting unit 14. Based on the information stored in the database, the transmission unit 14 transmits information based on heat risk to display various screens on the manager terminal 2. In this embodiment, the manager manages workers at one or more work sites. In the database, the manager information is linked to the work sites and workers that are the subject of the manager's management. As a result, information based on heat risk for the workers that are the subject of the manager using the manager terminal 2 is transmitted to the manager terminal 2.

[0082] The display screen of the administrator terminal 2 will be described below with reference to Figs. 6 and 7. Fig. 6 is an example of a dashboard displayed to the administrator. The dashboard displays the aggregated results for each site, and a selection section for selecting the site to be displayed is displayed in the upper left corner of the screen. Furthermore, if multiple imaging devices 3 are installed at one site, various aggregated results may be displayed for each imaging device 3.

[0083] The dashboard displays aggregated information such as the number of heat risk judgments for the day ("Today's judgments" in Figure 6), the number of heat risk alerts for the day ("Today's alerts" in Figure 6), the number of judgments for the past week, the number of alerts for the past week, etc. Here, "alert" refers to a warning issued when a worker is judged to be at high risk of heat exposure.

[0084] The graph on the left side of the screen shows the results of the heat risk assessment for the site in the form of a daily stacked bar graph. The current temperature and humidity measured by the measurement unit 32 are also displayed as the current situation. If there are multiple image capture devices 3, the last update time, humidity, and temperature are displayed for each image capture device 3. The right side of the screen displays a graph showing the changes in outside temperature and humidity over the past few days.

[0085] The most recently determined heat risk is also displayed in reverse chronological order. For each, the terminal ID indicating the image capture device 3 that captured the face image, the temperature, humidity, date and time of the image capture, the face image used to determine the heat risk, the worker's name, and the evaluation value are displayed. The heat risk determination result, which is expressed on a three-level scale from 1 to 3, may also be displayed.

[0086] Furthermore, the manager terminal 2 of this embodiment receives heat risks for multiple workers who are under the management of the manager using the manager terminal 2 from the determination device 1, and displays a list of heat risks for each worker. Figure 7 is an example of a list display of heat risks.

[0087] The list screen displays the latest heat risk for each worker. The display content for each worker may be the same as that shown in FIG. 6. In this embodiment, employees with the highest heat risk assessment result of 3 are highlighted. This draws the manager's attention and supports appropriate management.

[0088] In addition, it is preferable to search for all information related to heat risk assessments based on arbitrary conditions such as the heat risk assessment result, the imaging device 3 that acquired the information, and the assessment time, and then display and sort the information in a list. It is also preferable to display the safety management report generated by the assessment device 1 on the manager terminal 2. This allows the manager to grasp the safety management status for each site, and also makes it possible to use the manager terminal 2 to explain the safety management status, etc.

[0089] As described above, the heat risk management method, heat risk management system, and heat risk management program according to this embodiment enable effective heat risk management by transmitting heat risk information not only to the workers themselves but also to managers. Furthermore, by determining heat risk using facial images, the need for wearable devices or the like is eliminated, enabling heat risk management to be achieved simply and at low cost. [Explanation of symbols]

[0090] 1: Judgment device 11: Acquisition part 12: Calculation section 13: Judgment section 14: Transmitter 2: Administrator terminal 21: Communications Department 22:Display section 3: Imaging device 31: Imaging unit 32: Measuring part 33: Display section 9: Terminal device 901: Control unit 902: Storage section 903: Communications Department 904: Input section 905: Output section 10: Information processing device 101: Control unit 102: Storage section 103: Communications Department NW: Network

Claims

1. A heat risk management method using a determination device, an administrator terminal, and an imaging device, The determination device Acquire a facial image of a worker working in a hot environment, Calculating status information about the worker based on the facial image; Determine the heat risk of the worker based on the condition information; A heat risk management method that transmits information about the heat risk to the manager terminal used by a manager who manages the workers.

2. The heat risk management method according to claim 1 , wherein the condition information is calculated based on physical condition information regarding the worker's physical condition and / or fatigue information regarding the worker's fatigue estimated from the facial image.

3. The heat risk management method according to claim 1, further comprising determining the heat risk of the worker based on temperature information relating to the temperature in the environment in which the worker works.

4. The heat risk management method according to claim 3 , wherein the temperature information is an outside temperature or a room temperature.

5. The heat risk management method according to claim 2 , wherein the physical condition information includes information regarding at least one of lack of sleep, whether or not breakfast was eaten, and hangover.

6. The heat risk management method according to claim 1 , wherein the imaging device is installed at a site where the worker performs work and acquires the facial image.

7. The heat risk management method according to claim 6 , wherein the imaging device is installed on a line of movement during the work.

8. The heat risk management method according to claim 1 , wherein the determination device determines the heat risk from the status information based on past heat risk determination results of the worker.

9. The determination device estimates the heat acclimation level based on the most recent work situation of the worker, The heat risk management method according to claim 1 , wherein the heat risk is determined based on the condition information and heat acclimation level.

10. the determination device acquires health information related to the worker's health, The heat risk management method according to claim 1 , wherein the heat risk is determined based on the condition information and health information.

11. The heat risk management method described in claim 1, wherein the determination device transmits the heat risk, the facial image, temperature information regarding the temperature in the environment where the worker works, and / or humidity information regarding the humidity in the environment where the worker works to the administrator terminal as information regarding the heat risk.

12. The heat risk management method according to claim 1 , wherein the manager terminal receives the heat risks relating to a plurality of workers from the determination device and displays a list of the heat risks for each worker.

13. The heat risk management method according to claim 1 , wherein the determination device generates a safety management report regarding safety measures based on a plurality of the heat risks.

14. A heat risk management system including a determination device, an administrator terminal, and an imaging device, the determination device includes an acquisition unit, a calculation unit, a determination unit, and a transmission unit; The acquisition unit acquires a face image of the worker captured by the imaging device, The calculation unit calculates status information about the worker based on the face image. The determination unit determines a heat risk of the worker based on the state information, A heat risk management system in which the transmission unit transmits information regarding the heat risk to the manager terminal used by a manager who manages the workers.

15. The heat risk management system according to claim 14 , wherein the imaging device is installed on a work flow line and captures a facial image of the worker at the work site.

16. A heat risk management program for managing heat risks for workers who work in a hot environment, causing a computer to function as an acquisition unit, a calculation unit, a determination unit, and a transmission unit; The acquisition unit acquires a face image of a worker, The calculation unit calculates status information about the worker based on the face image. The determination unit determines a heat risk of the worker based on the state information, The transmission unit is a heat risk management program that transmits information regarding the heat risk to an administrator terminal used by an administrator who manages the workers.

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