WO2022065066A1 - Infection risk assessment system and infection risk assessment method - Google Patents

Infection risk assessment system and infection risk assessment method Download PDF

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Publication number
WO2022065066A1
WO2022065066A1 PCT/JP2021/033247 JP2021033247W WO2022065066A1 WO 2022065066 A1 WO2022065066 A1 WO 2022065066A1 JP 2021033247 W JP2021033247 W JP 2021033247W WO 2022065066 A1 WO2022065066 A1 WO 2022065066A1
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Prior art keywords
infection risk
information
facility
determination
air quality
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PCT/JP2021/033247
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French (fr)
Japanese (ja)
Inventor
昌史 村上
和宏 谷口
学 神谷
智樹 高添
祐太朗 林
Original Assignee
パナソニックＩｐマネジメント株式会社
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Priority to JP2022551874A priority Critical patent/JPWO2022065066A1/ja
Publication of WO2022065066A1 publication Critical patent/WO2022065066A1/en

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

Definitions

  • the present invention relates to an infection risk determination system and an infection risk determination method.
  • Patent Document 1 discloses an infection risk area identification system capable of identifying an infection risk area with high accuracy.
  • the present invention provides an infection risk determination system or the like that can provide a user with information indicating an infection risk for an infectious disease.
  • the infection risk determination system has a first acquisition unit that acquires air quality information in the facility and a second acquisition unit that acquires epidemic information indicating the epidemic situation of infectious diseases in the area surrounding the facility.
  • a determination unit that determines the infection risk for the infectious disease based on the acquired air quality information and the acquired epidemic information, and an output unit that outputs infection risk information indicating the result of the determination. And prepare.
  • the infection risk determination method includes a first acquisition step of acquiring air quality information in the facility and a second acquisition step of acquiring epidemic information indicating an epidemic situation of an infectious disease in the area surrounding the facility.
  • the program according to one aspect of the present invention is a program for causing a computer to execute the infection risk determination method.
  • the infection risk determination system or the like can provide the user with information indicating the infection risk for an infectious disease.
  • FIG. 1 is a block diagram showing a functional configuration of an infection risk determination system according to an embodiment.
  • FIG. 2 is a diagram showing an example of air quality information.
  • FIG. 3 is a diagram showing an example of epidemic information.
  • FIG. 4 is a diagram showing an example of the number of people information.
  • FIG. 5 is a sequence diagram of operation example 1 of the infection risk determination system according to the embodiment.
  • FIG. 6 is a diagram showing an example of user information.
  • FIG. 7 is a diagram showing an example of an image showing the result of determination of infection risk.
  • FIG. 8 is a sequence diagram of operation example 2 of the infection risk determination system according to the embodiment.
  • FIG. 9 is a diagram showing an example of a change in carbon dioxide concentration when the facility is an office.
  • FIG. 1 is a block diagram showing a functional configuration of an infection risk determination system according to an embodiment.
  • the infection risk determination system 10 determines whether or not the user should go from the place of residence (home) to the facility 80 during the period when an infectious substance (virus or the like) is prevalent. It is a system that can determine the risk of infection as a material for the virus and present it to the user.
  • the facility 80 is, for example, the office of the user's work place, and the infection risk determination system 10 is an infection risk for determining whether or not the user should go to work (more specifically, an infection risk in the commuting route, and an infection risk, and Infection risk in the office) is determined.
  • the infection risk determination system 10 includes a server device 20, a display device 30, a ventilation system 40, an information management server 50, and an entry / exit management system 60.
  • the server device 20 determines the infection risk for an infectious disease based on the air quality information in the facility 80 and the epidemic information indicating the epidemic situation of the infectious disease in the area surrounding the facility 80, and indicates the infection risk indicating the determination result. Information is transmitted to the display device 30.
  • the server device 20 is, for example, a cloud server installed outside the facility 80, but may be a local server installed inside the facility 80.
  • the server device 20 includes a communication unit 21, an information processing unit 22, and a storage unit 23.
  • the communication unit 21 is a communication circuit for the server device 20 to communicate with the display device 30, the ventilation system 40, the information management server 50, and the entry / exit management system 60 via a wide area communication network 70 such as the Internet (a communication circuit). In other words, it is a communication module).
  • the communication standard for communication performed by the communication unit 21 is not particularly limited.
  • the information processing unit 22 performs a process (determination process) for determining an infection risk based on air quality information and epidemic information.
  • the information processing unit 22 is realized by, for example, a microcomputer, but may be realized by a processor.
  • the information processing unit 22 has, as functional components, a first acquisition unit 24 for acquiring air quality information, a second acquisition unit 25 for acquiring trend information, and a third acquisition unit 26 for acquiring number of people information.
  • a determination unit 27 for determining the infection risk and an output unit 28 for outputting the determination result are provided.
  • the microcomputer or the like constituting the information processing unit 22 is stored in the storage unit 23. It is realized by executing a computer program. Details of the functions of these components will be described later.
  • the storage unit 23 is a storage device that stores various information necessary for the information processing unit 22 to perform determination processing, a computer program, and the like.
  • the storage unit 23 is realized by, for example, an HDD (Hard Disk Drive), but may be realized by a semiconductor memory.
  • the display device 30 is an information terminal operated by the user in order to receive the infection risk information indicating the result of the infection risk determination.
  • the display device 30 is, for example, a portable information terminal such as a notebook personal computer, a smartphone, and a tablet terminal, but may be a stationary information terminal such as a desktop personal computer.
  • the display device 30 includes a UI (User Interface) unit 31.
  • the UI unit 31 is a user interface device that accepts user operations and presents images to the user.
  • the UI unit 31 is realized by an operation reception unit such as a touch panel or a keyboard, and a display unit such as a display panel.
  • the ventilation system 40 is a system for ventilating in the facility 80, and is installed in the facility 80.
  • the ventilation system 40 includes a ventilation device 41, a carbon dioxide concentration sensor 42, and a controller 43.
  • the ventilation device 41 is a ventilation device that discharges the air inside the facility 80 to the outside of the facility 80 and takes in the air outside the facility 80 into the facility 80, specifically, a ventilation fan or the like.
  • the ventilator 41 is installed, for example, in each of one or more areas of the facility 80. Each of the one or more areas is, for example, a building, a floor, a room, or the like in the facility 80, but may be the facility 80 itself.
  • the carbon dioxide concentration sensor 42 measures (sensing) the carbon dioxide concentration in the facility 80.
  • the carbon dioxide concentration sensor 42 is installed in each of one or more areas of the facility 80, for example.
  • the controller 43 is a computer device installed in the facility 80 and controls the ventilation device 41.
  • the controller 43 manages the ventilation volume by the ventilation device 41 based on, for example, the operating state (setting) of the ventilation device 41. Further, the controller 43 manages the carbon dioxide concentration measured by the carbon dioxide concentration sensor 42.
  • FIG. 2 is a diagram showing an example of air quality information (ventilation volume and carbon dioxide concentration) managed by the controller 43.
  • the controller 43 has a communication function via the wide area communication network 70.
  • the controller 43 can provide (transmit) information indicating the ventilation volume and information indicating the carbon dioxide concentration to the server device 20 as shown in FIG. 2 by using the communication function.
  • the information indicating the ventilation volume and the information indicating the carbon dioxide concentration are examples of air quality information.
  • the information management server 50 is a cloud server that manages epidemic information indicating an epidemic situation of an infectious disease.
  • the information management server 50 manages trend information for each region.
  • "by region” means, for example, by prefecture, but may be by municipality (ward).
  • FIG. 3 is a diagram showing an example of epidemic information.
  • epidemic information the number of infected persons, the number of infected persons per 100,000 population, the number of severely ill persons, and the bed usage rate of severely ill persons are shown.
  • the number of infected persons means, more specifically, the number of persons living in the area and found to be infected with an infectious disease.
  • the information management server 50 has a communication function via the wide area communication network 70.
  • the information management server 50 can provide (transmit) trendy information as shown in FIG. 3 to the server device 20 by using the communication function.
  • the entry / exit management system 60 manages the entry / exit of people in one or more areas in the facility 80.
  • the entrance / exit management system 60 includes a reading device 61 provided at each entrance / exit of one or more areas, and a management device 62.
  • the reading device 61 is a card reader that reads the identification information stored in the ID card from an ID card (an example of an authentication medium) that a person (employee) engaged in work at the facility 80 brings close to the reading device 61.
  • the read identification information is transmitted to the management device 62, and when the management device 62 succeeds in authenticating the read identification information, the door of the doorway is unlocked.
  • the reading device 61 is realized by, for example, an RFID (Radio Frequency Identifier) reader that reads identification information from an IC chip built in an ID card by short-range wireless communication.
  • the management device 62 is a server that authenticates the above identification information.
  • the management device 62 is, for example, a local server installed inside the facility 80, but may be a cloud server installed outside the facility 80.
  • the management device 62 can manage (estimate) the number of people in each of one or more areas in the facility 80 based on the result of the authentication of the identification information.
  • FIG. 4 is a diagram showing an example of number of people information indicating the number of people in each of one or more areas.
  • the management device 62 has a communication function via the wide area communication network 70.
  • the management device 62 can provide (transmit) the number of people information as shown in FIG. 4 to the server device 20 by using the communication function.
  • FIG. 5 is a sequence diagram of operation example 1 of the infection risk determination system 10.
  • the communication unit 21 of the server device 20 receives air quality information (FIG. 2) from the ventilation system 40 (S11), and receives trend information (FIG. 3) from the information management server 50 (S12).
  • the information processing unit 22 stores the received air quality information and the trend information in the storage unit 23 (S13).
  • the processes of steps S11 to S13 are performed periodically, and the air quality information and the epidemic information stored in the storage unit 23 are updated to the latest information as appropriate.
  • the determination of infection risk which will be described later, shall be made using the latest information.
  • the reception of the air quality information and the fashion information may be triggered by the reception of the determination request described later.
  • the predetermined operation includes a user ID input operation and the like.
  • the display device 30 transmits a determination request including the input user ID to the server device 20 (S15).
  • the communication unit 21 of the server device 20 receives the determination request.
  • the storage unit 23 of the server device 20 stores user information of a plurality of users in advance.
  • FIG. 6 is a diagram showing an example of user information.
  • the user information is, for example, employee information of an employee who works for a specific company.
  • the user information includes a user ID, a name, an area in the facility 80 mainly used by the user (hereinafter, also referred to as a usage area), a place of residence (that is, the location of the home), and a commuting route (from the place of residence). Prefectural governments that pass through to facility 80) are included.
  • the first acquisition unit 24 identifies the usage area associated with the user ID included in the determination request received in step S15, and is associated with the specified usage area.
  • the air quality information is acquired from the storage unit 23 (S16).
  • the second acquisition unit 25 acquires the epidemic information of the area to which the facility 80 belongs from the storage unit 23 (S17). For example, when the facility 80 is located in XX prefecture, the second acquisition unit 25 acquires the epidemic information associated with XX prefecture.
  • the determination unit 27 determines the infection risk based on the air quality information acquired in step S16 and the epidemic information acquired in step S17 (S18).
  • the determination unit 27 determines the infection risk in the use area (that is, the infection risk in the facility 80) and the infection risk in the area around the facility 80 (that is, the infection risk outside the facility 80).
  • the surrounding area includes at least the area to which the facility 80 belongs.
  • the determination unit 27 determines the infection risk in the use area by comparing the ventilation volume indicated by the air quality information with a predetermined first threshold value. In the area of use, the greater the ventilation volume, the less likely it is to be infected with an infectious disease, and it is considered safer. Therefore, the determination unit 27 determines that the user's usage area is safe when the ventilation volume indicated by the air quality information is equal to or greater than the first threshold value. Further, the determination unit 27 determines that the user's usage area is unsafe (need attention) when the ventilation volume indicated by the air quality information is less than the first threshold value.
  • the determination unit 27 determines that the larger the ventilation volume indicated by the air quality information, the lower the risk of infection.
  • the first threshold value in this case is a value larger than 0, for example, 30 m 3 / h, but may be appropriately determined empirically or experimentally.
  • the determination unit 27 determines the infection risk in the area surrounding the facility 80 by comparing the number of infected persons per population indicated by the epidemic information with a predetermined second threshold value. The smaller the number of infected people per capita in the area to which the facility 80 belongs, the lower the possibility of being infected with an infectious disease, and the area around the facility 80 is considered to be safe. Therefore, the determination unit 27 determines that the area around the facility 80 is safe when the number of infected persons per population indicated by the epidemic information is less than the second threshold value.
  • the determination unit 27 determines that the area around the facility 80 is unsafe (be careful) when the number of infected persons per population indicated by the epidemic information is equal to or greater than the second threshold value. That is, the determination unit 27 determines that the smaller the number of infected persons per population, the lower the risk of infection.
  • the second threshold value in this case may be appropriately determined empirically or experimentally.
  • the output unit 28 outputs infection risk information indicating the result of the determination by the determination unit 27 (S19).
  • the infection risk information is information indicating whether or not the use area is safe and whether or not the area around the facility 80 is safe.
  • the communication unit 21 transmits the output infection risk information to the display device 30 (S20).
  • the display device 30 receives the infection risk information, and displays an image showing the result of the infection risk determination on the UI unit 31 based on the received infection risk information (S21).
  • FIG. 7 is a diagram showing an example of an image showing the result of determination of infection risk.
  • the results of the infection risk determination are an axis (vertical axis) indicating the first infection risk level in the use area in the facility 80 and an axis (horizontal axis) indicating the second infection risk level in the area surrounding the facility 80.
  • Axis is displayed using a matrix with two axes. That is, the first infection risk level in the usage area in the facility 80 and the second infection risk level in the surrounding area of the facility 80 are displayed at the same time.
  • the image shown in FIG. 7 shows that the risk of infection in the facility 80 is high (ie, caution required) and the risk of infection around the facility 80 is low (ie, safe).
  • the numerical value of the ventilation volume and the numerical value of the number of infected persons are displayed in characters.
  • the display device 30 receives the infection risk information and displays an image showing the determination result by a matrix based on the received infection risk information. That is, in step S19, the output unit 28 displays on the display device 30 as infection risk information a matrix having an axis indicating the first infection risk level and an axis indicating the second infection risk level as two axes. Information is being output. It is not essential that the determination result is displayed using the matrix in this way, and the determination result may be displayed in characters.
  • the infection risk determination system 10 determines the infection risk based on the air quality information and the epidemic information, and outputs the infection risk information indicating the result of the determination.
  • Such an infection risk determination system 10 can provide a material for determining whether or not the user should go from the place of residence (home) to the facility 80.
  • the infection risk determination system 10 may determine the infection risk by using the number information indicating the number of people in the facility 80 in addition to the air quality information and the epidemic information.
  • operation example 2 of such an infection risk determination system 10 will be described.
  • FIG. 8 is a sequence diagram of operation example 2 of the infection risk determination system 10.
  • the communication unit 21 of the server device 20 receives air quality information (FIG. 2) from the ventilation system 40 (S31), and receives trend information (FIG. 3) from the information management server 50 (S32). Further, the communication unit 21 receives the number of people information (FIG. 5) from the entry / exit management system 60 (S33).
  • the information processing unit 22 stores the received air quality information, trend information, and number of people information in the storage unit 23 (S34).
  • the processes of steps S31 to S34 are periodically performed, and the air quality information, the epidemic information, and the number of people information stored in the storage unit 23 are updated to the latest information as appropriate.
  • the determination of infection risk shall be made using the latest information.
  • the reception of the air quality information, the trend information, and the number of people information may be triggered by the reception of the determination request described later.
  • the predetermined operation includes an operation of inputting a user ID and a password.
  • the display device 30 transmits a determination request including the input user ID and password to the server device 20 (S36).
  • the communication unit 21 of the server device 20 receives the determination request.
  • the first acquisition unit 24 identifies and identifies the usage area associated with the user ID included in the determination request received in step S36 by referring to the user information (FIG. 6) stored in the storage unit 23.
  • the air quality information associated with the used area is acquired from the storage unit 23 (S37).
  • the second acquisition unit 25 acquires the epidemic information of the area to which the facility 80 belongs from the storage unit 23 (S38).
  • the third acquisition unit 26 acquires the number of people information associated with the use area specified by the first acquisition unit 24 from the storage unit 23 (S39).
  • the determination unit 27 determines the infection risk based on the air quality information acquired in step S37, the epidemic information acquired in step S38, and the number of people information acquired in step S39 (S40). ..
  • the determination unit 27 determines the infection risk of the user's area of use (that is, the infection risk of the facility 80) by comparing the ventilation volume indicated by the air quality information with the first threshold value.
  • the difference from the operation example 1 is that the first threshold value is changed according to the number of people located in the usage area (that is, the number of people indicated by the number of people information).
  • the determination unit 27 determines, for example, the ventilation volume required per person ⁇ the number of people as the first threshold value.
  • the determination unit 27 may determine the first threshold value to a larger value as the number of people indicated by the number of people information increases. Since the method for determining the infection risk in step S40 is the same as step S18 in operation example 1 except that the first threshold value is changed according to the number of people, detailed description thereof will be omitted.
  • the output unit 28 outputs infection risk information indicating the result of the determination by the determination unit 27 (S41).
  • the communication unit 21 transmits the output infection risk information to the display device 30 (S42).
  • the display device 30 receives the infection risk information, and displays an image showing the result of the infection risk determination on the UI unit 31 based on the received infection risk information (S43).
  • the processing of steps S41 to S43 is the same as the processing of steps S19 to S21.
  • the infection risk determination system 10 determines the infection risk based on the air quality information, the epidemic information, and the number of people information, and outputs the infection risk information indicating the result of the determination.
  • Such an infection risk determination system 10 improves the validity of the result of the determination of the infection risk in the facility 80 by changing the first threshold value used for the determination of the infection risk in the facility 80 based on the number of people information. can do.
  • the number of people information is provided by the entry / exit management system 60.
  • the number of people information may be provided by the conference room reservation system.
  • the third acquisition unit 26 acquires the image information of the image taken by this camera, and the determination unit 27 performs image processing (face recognition processing) on the image information.
  • the number of people in the usage area can be specified by performing pattern matching processing or the like). That is, the number of people information may be image information, and the third acquisition unit 26 can acquire the image information as the number of people information.
  • the infection risk in the use area (that is, the infection risk in the facility 80) is determined based on the ventilation volume, but may be determined based on the carbon dioxide concentration.
  • the air quality information shows not only the ventilation volume but also the carbon dioxide concentration. If the carbon dioxide concentration is high, it is estimated that the ventilation volume is insufficient, and if the carbon dioxide concentration is low, the ventilation volume is considered to be sufficient. That is, the carbon dioxide concentration can be used as an index that indirectly indicates the ventilation volume.
  • the determination unit 27 determines the infection risk in the use area (that is, the infection risk in the facility 80) by comparing the carbon dioxide concentration in the use area indicated by the air quality information with a predetermined first threshold value. .. In the area of use, the lower the carbon dioxide concentration (more ventilation), the less likely it is to be infected with an infectious substance, and it is considered safer. Therefore, the determination unit 27 determines that the use area is safe when the carbon dioxide concentration is less than the first threshold value. Further, the determination unit 27 determines that the user's usage area is unsafe (need attention) when the carbon dioxide concentration is equal to or higher than the first threshold value. That is, the determination unit 27 determines that the lower the carbon dioxide concentration, the lower the risk of infection.
  • the first threshold value in this case is a value larger than 0, for example, 1000 ppm or 900 ppm, but may be appropriately determined empirically or experimentally.
  • FIG. 9 is a diagram showing an example of a change in carbon dioxide concentration when the facility 80 is an office.
  • the absolute value of the carbon dioxide concentration is low during the time period from 6:00 to 10:00, but the rate of increase in the carbon dioxide concentration is high because the number of employees in the office increases. It is presumed that ventilation is inadequate.
  • the determination unit 27 determines that even if the absolute value of the carbon dioxide concentration is less than the first threshold value, the rate of increase (change amount) of the carbon dioxide concentration in the latest predetermined period is equal to or higher than the third threshold value (> 0). It may be determined that the usage area is unsafe (need attention). That is, when the absolute value of the carbon dioxide concentration is less than the first threshold value, the determination unit 27 may further determine the amount of change in the carbon dioxide concentration and determine the infection risk based on the determination result. .. Such an infection risk determination system 10 can improve the validity of the result of the infection risk determination in the facility 80.
  • the determination unit 27 compares the ventilation volume indicated by the air quality information with the first threshold value to determine the infection risk in the user's usage area (that is, the infection risk in the facility 80). Was judged. At this time, the determination unit 27 may change the first threshold value according to the degree of the epidemic situation indicated by the epidemic information acquired by the second acquisition unit 25. Specifically, the determination unit 27 determines the first threshold value to a larger value as the epidemic information indicates that the epidemic of the infectious disease is spreading (the number of infected persons is large if the number of infected persons is large).
  • Such an infection risk determination system 10 determines the infection risk in the facility 80 by tightening the determination criteria for the infection risk in the facility 80 as the epidemic of the infectious disease spreads in the area to which the facility 80 belongs. The validity of the result can be improved.
  • the configuration in which the first threshold value is changed based on the trend information may be applied to the above operation example 2. That is, in the operation example 2, the first threshold value may be changed based on the number of people information and the fashion information. Further, the configuration in which the first threshold value is changed based on the epidemic information may be combined with the above-mentioned modification 1. That is, the first threshold for carbon dioxide concentration may be changed based on epidemic information. Further, in the above-mentioned modification 1, the third threshold value for the amount of change in carbon dioxide concentration may be changed based on the epidemic information.
  • the risk of infection in the area surrounding the facility 80 was determined based on the number of infected persons per population in the area to which the facility 80 belongs, but the infected persons. The determination may be made based on the number, the number of severely ill persons, the bed utilization rate of severely ill persons, and the like.
  • the epidemic information (FIG. 3) shows not only the number of infected persons per population but also the number of infected persons, the number of severely ill persons, and the bed usage rate of severely ill persons.
  • the number of infected persons, the number of severely ill persons, and the bed usage rate of severely ill persons can also be used as an index showing the epidemic situation of infectious diseases.
  • a threshold value determined according to each index is used.
  • the infection risk in the area around the facility 80 (that is, the infection risk outside the facility 80) is not only the epidemic information in the area to which the facility 80 belongs, but also the user goes from the place of residence to the facility 80. It may be determined using the epidemic information in the area where the disease occurs. That is, the surrounding area may include not only the area to which the facility 80 belongs but also the area where the user travels from the place of residence to the facility 80.
  • the second acquisition unit 25 acquires the epidemic information of the area included in the user's commuting route from the storage unit 23 in addition to the epidemic information of the area to which the facility 80 belongs. More specifically, the second acquisition unit 25 identifies and identifies the commuting route associated with the user ID included in the determination request received in step S15 by referring to the user information (FIG. 6). The epidemic information associated with one or more areas included in the commuting route is acquired from the storage unit 23.
  • the method for determining the infection risk in the area surrounding the facility 80 in step S18 is as follows.
  • the determination unit 27 identifies the number of infected persons per population in each of the one or more regions based on the epidemic information of one or more regions acquired by the second acquisition unit 25. Then, if the determination unit 27 has at least one area in which the number of infected persons per population is equal to or higher than the second threshold value in one or more areas, the area around the facility 80 is not safe (be careful). Yes). When the number of infected persons per population is less than the second threshold value in all of one or more areas, the determination unit 27 determines that the area around the facility 80 is safe.
  • Such an infection risk determination system 10 can determine the infection risk around the facility 80 in consideration of the user's commuting route.
  • the configuration in which the infection risk is determined using the epidemic information in the area where the user passes from the place of residence to the facility 80 may be combined with the above operation example 2 and each modification.
  • the determination unit 27 determines the first infection risk level in the use area and the second infection risk level in the surrounding area of the facility 80 in two stages (whether or not it is safe).
  • the infection risk level may be determined in three or more stages.
  • the determination unit 27 sets the first infection risk level in the use area in three stages by comparing the value indicated by the air quality information acquired by the first acquisition unit 24 with two or more different first threshold values. The determination can be made separately as described above.
  • the determination unit 27 determines the second infection risk level in the surrounding area of the facility 80 by comparing the value indicated by the epidemic information acquired by the second acquisition unit 25 with two or more different second threshold values. Can be determined in three or more stages.
  • the determination result may be displayed using a matrix or may be displayed in characters.
  • the output unit 28 displays a matrix having an axis indicating the first infection risk level and an axis indicating the second infection risk level as two axes as infection risk information. It can be said that the information to be displayed on the device 30 is output.
  • the determination unit 27 may determine the overall infection risk in consideration of both the first infection risk level in the area of use and the second infection risk level in the area surrounding the facility 80.
  • the determination unit 27 calculates a comprehensive evaluation value obtained by adding the first evaluation value determined by the value indicated by the air quality information and the second evaluation value determined by the value indicated by the trend information, and the calculated comprehensive evaluation value and The overall risk of infection may be determined by comparing with the threshold.
  • the comprehensive evaluation value may be calculated by the weighted sum of the first evaluation value and the second evaluation value.
  • the first evaluation value is, for example, a value larger than 0, and the larger the value, the lower the risk of infection. That is, the first evaluation value is set to be higher as the ventilation volume indicated by the air quality information is larger (the lower the carbon dioxide concentration).
  • the second evaluation value is, for example, a value larger than 0, and the larger the value, the lower the risk of infection. That is, the first evaluation value is set so high that the epidemic information indicates that the epidemic has not spread.
  • the above-mentioned entry / exit management system 60 manages not only the number of people in each area in the facility 80 but also which user is staying in each area based on the identification information acquired from the ID card by the reading device 61. It can be provided to the server device 20. Then, the server device 20 uses the user information during the stay indicating which user is staying in the usage area provided by the entry / exit management system 60, the user information (FIG. 6), and the trend information (FIG. 3). Based on this, the risk of infection in the area of use can also be determined.
  • the determination unit 27 can specify the residence of one or more users staying in the usage area based on the user information during the stay and the user information.
  • the determination unit 27 can determine the infection risk in the area to which the specified residential area belongs based on the epidemic information. Then, the determination unit 27 determines that the number n (n is a natural number) of users residing in an area where the infection risk is high (that is, it is determined that caution is required) and the infection risk is low (that is, it is safe). ) Determine the infection risk in the usage area based on the number of users m (m is a natural number) residing in the area.
  • the risk assessment value for the number of users residing in an area with a low risk of infection is a (> 0), and living in an area with a high risk of infection (determined to require attention).
  • the determination unit 27 determines that the usage area is unsafe when a ⁇ n + b ⁇ m is equal to or greater than the threshold value, and a ⁇ n + b ⁇ m is the threshold value. When it is less than, it can be determined that the area of use is safe.
  • the alarm issuance standard is the risk of infection outside the facility 80. May be changed based on.
  • the infection risk determination system 10 may loosen the reporting standard so that the higher the infection risk outside the facility 80, the easier it is for an alarm to be issued.
  • the infection risk determination system 10 acquires the first acquisition unit 24 for acquiring the air quality information in the facility 80 and the second acquisition unit 24 for acquiring the epidemic information indicating the epidemic situation of the infectious disease in the area around the facility 80.
  • Such an infection risk determination system 10 can provide the user with information indicating the infection risk for an infectious disease.
  • the air quality information indicates the ventilation volume in the facility 80
  • the determination unit 27 determines that the larger the ventilation volume indicated by the air quality information, the lower the risk of infection.
  • Such an infection risk determination system 10 can determine an infection risk based on the ventilation volume in the facility 80.
  • the air quality information indicates the carbon dioxide concentration in the facility 80
  • the determination unit 27 determines that the lower the carbon dioxide concentration indicated by the air quality information, the lower the risk of infection.
  • Such an infection risk determination system 10 can determine an infection risk based on the carbon dioxide concentration in the facility 80.
  • the air quality information indicates the carbon dioxide concentration in the facility 80
  • the determination unit 27 determines the infection risk based on the amount of change in the carbon dioxide concentration indicated by the air quality information.
  • Such an infection risk determination system 10 can determine an infection risk based on the amount of change in carbon dioxide concentration in the facility 80.
  • the epidemic information indicates the number of people who live in the surrounding area and are found to be infected with an infectious disease
  • the determination unit 27 is the number of people who are found to be infected with the infectious disease indicated by the epidemic information. The smaller the number, the lower the risk of infection.
  • Such an infection risk determination system 10 can determine an infection risk based on the number of people found to be infected with an infectious disease.
  • the determination unit 27 determines the infection risk as a material for determining whether or not the user should go from the place of residence to the facility 80, and in the surrounding area, the area to which the facility 80 belongs and the area from the place of residence to the facility Areas on the route up to 80 are included.
  • Such an infection risk determination system 10 can provide the user with materials for determining whether or not to go from the place of residence to the facility 80.
  • the determination unit 27 determines the infection risk by comparing the value indicated by the acquired air quality information with the threshold value, and changes the threshold value according to the epidemic situation indicated by the acquired epidemic information.
  • Such an infection risk determination system 10 improves the validity of the result of the determination of the infection risk in the facility 80 by tightening the determination criteria for determining the safety when the infectious disease is widespread. can do.
  • the infection risk determination system 10 further includes a third acquisition unit 26 for acquiring information on the number of people indicating the number of people in the facility 80.
  • the determination unit 27 determines the infection risk by comparing the value indicated by the acquired air quality information with the first threshold value, and changes the first threshold value according to the number of people indicated by the acquired number of people information. ..
  • Such an infection risk determination system 10 results in the determination of the infection risk in the facility 80 by tightening the determination criteria for determining safety when many people in the facility 80 are present. The validity can be improved.
  • the determination unit 27 divides the first infection risk level in the facility 80 into two or more stages by comparing the value indicated by the acquired air quality information with one or more first threshold values that are different from each other. By comparing the value indicated by the acquired epidemic information with one or more second threshold values that are different from each other, the second infection risk level in the surrounding area is determined by dividing it into two or more stages.
  • the output unit 28 outputs information for displaying on the display device 30 a matrix having an axis indicating the first infection risk level and an axis indicating the second infection risk level as two axes.
  • Such an infection risk determination system 10 can display a matrix of the first infection risk level inside the facility 80 and the second infection risk level outside the facility 80. That is, the infection risk determination system 10 can assist the user in recognizing the first infection risk level and the second infection risk level.
  • the first acquisition step S16 for acquiring the air quality information in the facility 80 the second acquisition step S17 for acquiring the epidemic information indicating the epidemic situation of the infectious disease in the area around the facility 80, and the acquired air. It includes a determination step S18 for determining an infection risk for an infectious disease based on quality information and acquired epidemic information, and an output step S19 for outputting infection risk information indicating the result of the determination.
  • Such an infection risk determination system 10 can provide the user with information indicating the infection risk for an infectious disease.
  • the infection risk determination system is realized by a plurality of devices, but may be realized as a single device.
  • the infection risk determination system may be realized as a single device corresponding to a server device.
  • the components (particularly, functional components) included in the infection risk determination system may be distributed to the plurality of devices in any way.
  • the communication method between the devices in the above embodiment is not particularly limited.
  • a relay device (not shown) may be interposed between the two devices.
  • the order of processing described in the above embodiment is an example.
  • the order of the plurality of processes may be changed, or the plurality of processes may be executed in parallel.
  • another processing unit may execute the processing executed by the specific processing unit.
  • each component may be realized by executing a software program suitable for each component.
  • Each component may be realized by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.
  • each component may be realized by hardware.
  • each component may be a circuit (or an integrated circuit). These circuits may form one circuit as a whole, or may be separate circuits from each other. Further, each of these circuits may be a general-purpose circuit or a dedicated circuit.
  • the general or specific embodiment of the present invention may be realized by a recording medium such as a system, an apparatus, a method, an integrated circuit, a computer program, or a computer-readable CD-ROM. Further, it may be realized by any combination of a system, an apparatus, a method, an integrated circuit, a computer program and a recording medium.
  • the present invention may be executed as an infection risk determination method executed by a computer such as an infection risk determination system, or may be realized as a program for causing a computer to execute such an infection risk determination method. Further, the present invention may be realized as a computer-readable non-temporary recording medium in which such a program is recorded.

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Abstract

An infection risk assessment system (10) comprises: a first acquisition unit (24) that acquires information regarding air quality in a facility (80); a second acquisition unit (25) that acquires epidemic information indicating the epidemic situation of an infectious disease in a surrounding region of the facility (80); an assessment unit (27) that assesses an infection risk with respect to the infectious disease on the basis of the acquired air quality information and the acquired epidemic information; and an output unit (28) that outputs infection risk information indicating the assessment result.

Description

感染リスク判定システム、及び、感染リスク判定方法Infection risk determination system and infection risk determination method
　本発明は、感染リスク判定システム、及び、感染リスク判定方法に関する。 The present invention relates to an infection risk determination system and an infection risk determination method.
　インフルエンザなどの感染症の拡大を抑制するための様々な技術が提案されている。特許文献１には、感染危険エリアを高精度に特定することができる感染危険エリア特定システムが開示されている。 Various technologies have been proposed to control the spread of infectious diseases such as influenza. Patent Document 1 discloses an infection risk area identification system capable of identifying an infection risk area with high accuracy.
特開２０１４－１８６４４７号公報Japanese Unexamined Patent Publication No. 2014-186447
　本発明は、感染症に対する感染リスクを示す情報をユーザに提供することができる感染リスク判定システム等を提供する。 The present invention provides an infection risk determination system or the like that can provide a user with information indicating an infection risk for an infectious disease.
　本発明の一態様に係る感染リスク判定システムは、施設内の空気質情報を取得する第一取得部と、前記施設の周辺地域における感染症の流行状況を示す流行情報を取得する第二取得部と、取得された前記空気質情報、及び、取得された前記流行情報に基づいて、前記感染症に対する感染リスクの判定を行う判定部と、前記判定の結果を示す感染リスク情報を出力する出力部とを備える。 The infection risk determination system according to one aspect of the present invention has a first acquisition unit that acquires air quality information in the facility and a second acquisition unit that acquires epidemic information indicating the epidemic situation of infectious diseases in the area surrounding the facility. A determination unit that determines the infection risk for the infectious disease based on the acquired air quality information and the acquired epidemic information, and an output unit that outputs infection risk information indicating the result of the determination. And prepare.
　本発明の一態様に係る感染リスク判定方法は、施設内の空気質情報を取得する第一取得ステップと、前記施設の周辺地域における感染症の流行状況を示す流行情報を取得する第二取得ステップと、取得された前記空気質情報、及び、取得された前記流行情報に基づいて、前記感染症に対する感染リスクの判定を行う判定ステップと、前記判定の結果を示す感染リスク情報を出力する出力ステップとを含む。 The infection risk determination method according to one aspect of the present invention includes a first acquisition step of acquiring air quality information in the facility and a second acquisition step of acquiring epidemic information indicating an epidemic situation of an infectious disease in the area surrounding the facility. A determination step for determining the infection risk for the infectious disease based on the acquired air quality information and the acquired epidemic information, and an output step for outputting the infection risk information indicating the result of the determination. And include.
　本発明の一態様に係るプログラムは、前記感染リスク判定方法をコンピュータに実行させるためのプログラムである。 The program according to one aspect of the present invention is a program for causing a computer to execute the infection risk determination method.
　本発明の一態様に係る感染リスク判定システム等は、感染症に対する感染リスクを示す情報をユーザに提供することができる。 The infection risk determination system or the like according to one aspect of the present invention can provide the user with information indicating the infection risk for an infectious disease.
図１は、実施の形態に係る感染リスク判定システムの機能構成を示すブロック図である。FIG. 1 is a block diagram showing a functional configuration of an infection risk determination system according to an embodiment. 図２は、空気質情報の一例を示す図である。FIG. 2 is a diagram showing an example of air quality information. 図３は、流行情報の一例を示す図である。FIG. 3 is a diagram showing an example of epidemic information. 図４は、人数情報の一例を示す図である。FIG. 4 is a diagram showing an example of the number of people information. 図５は、実施の形態に係る感染リスク判定システムの動作例１のシーケンス図である。FIG. 5 is a sequence diagram of operation example 1 of the infection risk determination system according to the embodiment. 図６は、ユーザ情報の一例を示す図である。FIG. 6 is a diagram showing an example of user information. 図７は、感染リスクの判定の結果を示す画像の一例を示す図である。FIG. 7 is a diagram showing an example of an image showing the result of determination of infection risk. 図８は、実施の形態に係る感染リスク判定システムの動作例２のシーケンス図である。FIG. 8 is a sequence diagram of operation example 2 of the infection risk determination system according to the embodiment. 図９は、施設がオフィスである場合の二酸化炭素濃度の変化の一例を示す図である。FIG. 9 is a diagram showing an example of a change in carbon dioxide concentration when the facility is an office.
　以下、実施の形態について、図面を参照しながら具体的に説明する。なお、以下で説明する実施の形態は、いずれも包括的又は具体的な例を示すものである。以下の実施の形態で示される数値、形状、材料、構成要素、構成要素の配置位置及び接続形態、ステップ、ステップの順序などは、一例であり、本発明を限定する主旨ではない。また、以下の実施の形態における構成要素のうち、独立請求項に記載されていない構成要素については、任意の構成要素として説明される。 Hereinafter, embodiments will be specifically described with reference to the drawings. It should be noted that all of the embodiments described below show comprehensive or specific examples. The numerical values, shapes, materials, components, arrangement positions and connection forms of the components, steps, the order of steps, and the like shown in the following embodiments are examples, and are not intended to limit the present invention. Further, among the components in the following embodiments, the components not described in the independent claims are described as arbitrary components.
　なお、各図は模式図であり、必ずしも厳密に図示されたものではない。また、各図において、実質的に同一の構成に対しては同一の符号を付し、重複する説明は省略又は簡略化される場合がある。 Note that each figure is a schematic diagram and is not necessarily exactly illustrated. Further, in each figure, the same reference numerals may be given to substantially the same configurations, and duplicate explanations may be omitted or simplified.
　（実施の形態）
　［構成］
　まず、実施の形態に係る感染リスク判定システムの構成について説明する。図１は、実施の形態に係る感染リスク判定システムの機能構成を示すブロック図である。 (Embodiment)
[Constitution]
First, the configuration of the infection risk determination system according to the embodiment will be described. FIG. 1 is a block diagram showing a functional configuration of an infection risk determination system according to an embodiment.
　図１に示されるように、感染リスク判定システム１０は、感染性物質（ウイルスなど）が流行している期間などにおいて、ユーザが居住地（自宅）から施設８０へ向かうべきかどうかを判断するための材料として感染リスクを判定し、ユーザに提示することができるシステムである。施設８０は、例えば、ユーザの勤務先のオフィスであり、感染リスク判定システム１０は、ユーザが出勤すべきかどうかを判断するための感染リスク（より具体的には、通勤経路における感染リスク、及び、オフィス内の感染リスク）を判定する。 As shown in FIG. 1, the infection risk determination system 10 determines whether or not the user should go from the place of residence (home) to the facility 80 during the period when an infectious substance (virus or the like) is prevalent. It is a system that can determine the risk of infection as a material for the virus and present it to the user. The facility 80 is, for example, the office of the user's work place, and the infection risk determination system 10 is an infection risk for determining whether or not the user should go to work (more specifically, an infection risk in the commuting route, and an infection risk, and Infection risk in the office) is determined.
　感染リスク判定システム１０は、具体的には、サーバ装置２０と、表示装置３０と、換気システム４０と、情報管理サーバ５０と、入退管理システム６０とを備える。 Specifically, the infection risk determination system 10 includes a server device 20, a display device 30, a ventilation system 40, an information management server 50, and an entry / exit management system 60.
　サーバ装置２０は、施設８０内の空気質情報、及び、施設８０の周辺地域における感染症の流行状況を示す流行情報に基づいて、感染症に対する感染リスクの判定を行い、判定結果を示す感染リスク情報を表示装置３０に送信する。サーバ装置２０は、例えば、施設８０外に設置されるクラウドサーバであるが、施設８０内に設置されるローカルサーバであってもよい。サーバ装置２０は、具体的には、通信部２１と、情報処理部２２と、記憶部２３とを備える。 The server device 20 determines the infection risk for an infectious disease based on the air quality information in the facility 80 and the epidemic information indicating the epidemic situation of the infectious disease in the area surrounding the facility 80, and indicates the infection risk indicating the determination result. Information is transmitted to the display device 30. The server device 20 is, for example, a cloud server installed outside the facility 80, but may be a local server installed inside the facility 80. Specifically, the server device 20 includes a communication unit 21, an information processing unit 22, and a storage unit 23.
　通信部２１は、サーバ装置２０が、表示装置３０、換気システム４０、情報管理サーバ５０、及び、入退管理システム６０と、インターネットなどの広域通信ネットワーク７０を介して通信を行うための通信回路（言い換えれば、通信モジュール）である。通信部２１が行う通信の通信規格については特に限定されない。 The communication unit 21 is a communication circuit for the server device 20 to communicate with the display device 30, the ventilation system 40, the information management server 50, and the entry / exit management system 60 via a wide area communication network 70 such as the Internet (a communication circuit). In other words, it is a communication module). The communication standard for communication performed by the communication unit 21 is not particularly limited.
　情報処理部２２は、空気質情報、及び、流行情報に基づいて感染リスクを判定する処理（判定処理）を行う。情報処理部２２は、例えば、マイクロコンピュータによって実現されるが、プロセッサによって実現されてもよい。 The information processing unit 22 performs a process (determination process) for determining an infection risk based on air quality information and epidemic information. The information processing unit 22 is realized by, for example, a microcomputer, but may be realized by a processor.
　情報処理部２２は、機能的な構成要素として、空気質情報を取得する第一取得部２４と、流行情報を取得する第二取得部２５と、人数情報を取得する第三取得部２６と、感染リスクの判定を行う判定部２７と、判定の結果を出力する出力部２８とを備える。第一取得部２４、第二取得部２５、第三取得部２６、判定部２７、及び、出力部２８の機能は、例えば、情報処理部２２を構成するマイクロコンピュータ等が記憶部２３に記憶されたコンピュータプログラムを実行することにより実現される。これらの構成要素の機能の詳細については後述される。 The information processing unit 22 has, as functional components, a first acquisition unit 24 for acquiring air quality information, a second acquisition unit 25 for acquiring trend information, and a third acquisition unit 26 for acquiring number of people information. A determination unit 27 for determining the infection risk and an output unit 28 for outputting the determination result are provided. As for the functions of the first acquisition unit 24, the second acquisition unit 25, the third acquisition unit 26, the determination unit 27, and the output unit 28, for example, the microcomputer or the like constituting the information processing unit 22 is stored in the storage unit 23. It is realized by executing a computer program. Details of the functions of these components will be described later.
　記憶部２３は、情報処理部２２が判定処理を行うために必要な各種情報、及び、コンピュータプログラムなどが記憶される記憶装置である。記憶部２３は、例えば、ＨＤＤ（Ｈａｒｄ　Ｄｉｓｃ　Ｄｒｉｖｅ）によって実現されるが、半導体メモリによって実現されてもよい。 The storage unit 23 is a storage device that stores various information necessary for the information processing unit 22 to perform determination processing, a computer program, and the like. The storage unit 23 is realized by, for example, an HDD (Hard Disk Drive), but may be realized by a semiconductor memory.
　表示装置３０は、ユーザが感染リスクの判定の結果を示す感染リスク情報の提供を受けるために、当該ユーザによって操作される情報端末である。表示装置３０は、例えば、ノート型のパーソナルコンピュータ、スマートフォン、及び、タブレット端末などの携帯型の情報端末であるが、デスクトップ型のパーソナルコンピュータなどの据え置き型の情報端末であってもよい。表示装置３０は、ＵＩ（Ｕｓｅｒ　Ｉｎｔｅｒｆａｃｅ）部３１を備える。 The display device 30 is an information terminal operated by the user in order to receive the infection risk information indicating the result of the infection risk determination. The display device 30 is, for example, a portable information terminal such as a notebook personal computer, a smartphone, and a tablet terminal, but may be a stationary information terminal such as a desktop personal computer. The display device 30 includes a UI (User Interface) unit 31.
　ＵＩ部３１は、ユーザの操作を受け付け、かつ、ユーザへ画像を提示するユーザインタフェース装置である。ＵＩ部３１は、タッチパネル又はキーボードなどの操作受付部、及び、表示パネルなどの表示部によって実現される。 The UI unit 31 is a user interface device that accepts user operations and presents images to the user. The UI unit 31 is realized by an operation reception unit such as a touch panel or a keyboard, and a display unit such as a display panel.
　換気システム４０は、施設８０において換気を行うシステムであり、施設８０内に設置される。換気システム４０は、換気装置４１と、二酸化炭素濃度センサ４２と、コントローラ４３とを備える。 The ventilation system 40 is a system for ventilating in the facility 80, and is installed in the facility 80. The ventilation system 40 includes a ventilation device 41, a carbon dioxide concentration sensor 42, and a controller 43.
　換気装置４１は、施設８０内の空気を施設８０外に排出し、施設８０外の空気を施設８０内に取り込む換気装置であり、具体的には、換気ファンなどである。換気装置４１は、例えば、施設８０が有する１以上のエリアのそれぞれに設置される。なお、１以上のエリアのそれぞれは、例えば、施設８０内の建物、フロア、部屋などであるが、施設８０そのものであってもよい。 The ventilation device 41 is a ventilation device that discharges the air inside the facility 80 to the outside of the facility 80 and takes in the air outside the facility 80 into the facility 80, specifically, a ventilation fan or the like. The ventilator 41 is installed, for example, in each of one or more areas of the facility 80. Each of the one or more areas is, for example, a building, a floor, a room, or the like in the facility 80, but may be the facility 80 itself.
　二酸化炭素濃度センサ４２は、施設８０内の二酸化炭素濃度を計測（センシング）する。二酸化炭素濃度センサ４２は、例えば、施設８０が有する１以上のエリアのそれぞれに設置される。 The carbon dioxide concentration sensor 42 measures (sensing) the carbon dioxide concentration in the facility 80. The carbon dioxide concentration sensor 42 is installed in each of one or more areas of the facility 80, for example.
　コントローラ４３は、施設８０に設置されるコンピュータ装置であり、換気装置４１を制御する。コントローラ４３は、例えば、換気装置４１の動作状態（設定）に基づいて換気装置４１による換気量を管理する。また、コントローラ４３は、二酸化炭素濃度センサ４２によって計測された二酸化炭素濃度を管理する。図２は、コントローラ４３によって管理される空気質情報（換気量及び二酸化炭素濃度）の一例を示す図である。 The controller 43 is a computer device installed in the facility 80 and controls the ventilation device 41. The controller 43 manages the ventilation volume by the ventilation device 41 based on, for example, the operating state (setting) of the ventilation device 41. Further, the controller 43 manages the carbon dioxide concentration measured by the carbon dioxide concentration sensor 42. FIG. 2 is a diagram showing an example of air quality information (ventilation volume and carbon dioxide concentration) managed by the controller 43.
　コントローラ４３は、広域通信ネットワーク７０を介した通信機能を有する。コントローラ４３は、通信機能を用いて、図２に示されるような換気量を示す情報、及び、二酸化炭素濃度を示す情報をサーバ装置２０に提供（送信）することができる。換気量を示す情報、及び、二酸化炭素濃度を示す情報のそれぞれは、空気質情報の一例である。 The controller 43 has a communication function via the wide area communication network 70. The controller 43 can provide (transmit) information indicating the ventilation volume and information indicating the carbon dioxide concentration to the server device 20 as shown in FIG. 2 by using the communication function. The information indicating the ventilation volume and the information indicating the carbon dioxide concentration are examples of air quality information.
　情報管理サーバ５０は、感染症の流行状況を示す流行情報を管理するクラウドサーバである。情報管理サーバ５０は、流行情報を地域ごとに管理する。ここでの「地域ごと」とは、例えば、都道府県ごとの意味であるが、市町村（区）ごとであってもよい。図３は、流行情報の一例を示す図である。図３の例では、流行情報として、感染者数、人口１０万人当たりの感染者数、重症者数、及び、重症者の病床使用率などが示されている。なお、感染者数とは、より詳細には、その地域に居住している、感染症への感染が判明した人の数を意味する。 The information management server 50 is a cloud server that manages epidemic information indicating an epidemic situation of an infectious disease. The information management server 50 manages trend information for each region. Here, "by region" means, for example, by prefecture, but may be by municipality (ward). FIG. 3 is a diagram showing an example of epidemic information. In the example of FIG. 3, as epidemic information, the number of infected persons, the number of infected persons per 100,000 population, the number of severely ill persons, and the bed usage rate of severely ill persons are shown. In addition, the number of infected persons means, more specifically, the number of persons living in the area and found to be infected with an infectious disease.
　情報管理サーバ５０は、広域通信ネットワーク７０を介した通信機能を有する。情報管理サーバ５０は、通信機能を用いて、図３に示されるような流行情報をサーバ装置２０に提供（送信）することができる。 The information management server 50 has a communication function via the wide area communication network 70. The information management server 50 can provide (transmit) trendy information as shown in FIG. 3 to the server device 20 by using the communication function.
　入退管理システム６０は、施設８０内の１以上のエリアにおける人の入退を管理する。入退管理システム６０は、１以上のエリアのそれぞれの出入口に設けられた読取装置６１と、管理装置６２とを備える。 The entry / exit management system 60 manages the entry / exit of people in one or more areas in the facility 80. The entrance / exit management system 60 includes a reading device 61 provided at each entrance / exit of one or more areas, and a management device 62.
　読取装置６１は、施設８０において業務に従事する人（社員）が読取装置６１に近づけるＩＤカード（認証用媒体の一例）から当該ＩＤカードに記憶された識別情報を読み取るカードリーダである。読み取られた識別情報は、管理装置６２へ送信され、管理装置６２が読み取られた識別情報の認証に成功すると、上記出入り口の扉が解錠される。読取装置６１は、例えば、近距離無線通信によってＩＤカードに内蔵されたＩＣチップから識別情報を読み取るＲＦＩＤ（Ｒａｄｉｏ　Ｆｒｅｑｕｅｎｃｙ　ＩＤｅｎｔｉｆｉｅｒ）リーダによって実現される。 The reading device 61 is a card reader that reads the identification information stored in the ID card from an ID card (an example of an authentication medium) that a person (employee) engaged in work at the facility 80 brings close to the reading device 61. The read identification information is transmitted to the management device 62, and when the management device 62 succeeds in authenticating the read identification information, the door of the doorway is unlocked. The reading device 61 is realized by, for example, an RFID (Radio Frequency Identifier) reader that reads identification information from an IC chip built in an ID card by short-range wireless communication.
　管理装置６２は、上記識別情報の認証を行うサーバである。管理装置６２は、例えば、施設８０内に設置されるローカルサーバであるが、施設８０外に設置されるクラウドサーバであってもよい。 The management device 62 is a server that authenticates the above identification information. The management device 62 is, for example, a local server installed inside the facility 80, but may be a cloud server installed outside the facility 80.
　また、管理装置６２は、上記識別情報の認証の結果に基づいて、施設８０内の１以上のエリアのそれぞれにおける人の数を管理（推定）することができる。図４は、１以上のエリアそれぞれにおける人の数を示す人数情報の一例を示す図である。 Further, the management device 62 can manage (estimate) the number of people in each of one or more areas in the facility 80 based on the result of the authentication of the identification information. FIG. 4 is a diagram showing an example of number of people information indicating the number of people in each of one or more areas.
　管理装置６２は、広域通信ネットワーク７０を介した通信機能を有する。管理装置６２は、通信機能を用いて、図４に示されるような人数情報をサーバ装置２０に提供（送信）することができる。 The management device 62 has a communication function via the wide area communication network 70. The management device 62 can provide (transmit) the number of people information as shown in FIG. 4 to the server device 20 by using the communication function.
　［動作例１］
　次に、感染リスク判定システム１０の動作例１について説明する。図５は、感染リスク判定システム１０の動作例１のシーケンス図である。 [Operation example 1]
Next, operation example 1 of the infection risk determination system 10 will be described. FIG. 5 is a sequence diagram of operation example 1 of the infection risk determination system 10.
　サーバ装置２０の通信部２１は、換気システム４０から空気質情報（図２）を受信し（Ｓ１１）、情報管理サーバ５０から流行情報（図３）を受信する（Ｓ１２）。情報処理部２２は、受信された空気質情報、及び、流行情報を記憶部２３に記憶する（Ｓ１３）。ステップＳ１１～Ｓ１３の処理は定期的に行われ、記憶部２３に記憶される空気質情報、及び、流行情報は、適宜、最新の情報に更新される。後述の感染リスクの判定は、最新の情報を用いて行われるものとする。なお、空気質情報、及び、流行情報の受信は、後述する判定要求が受信されたことをトリガに行われてもよい。 The communication unit 21 of the server device 20 receives air quality information (FIG. 2) from the ventilation system 40 (S11), and receives trend information (FIG. 3) from the information management server 50 (S12). The information processing unit 22 stores the received air quality information and the trend information in the storage unit 23 (S13). The processes of steps S11 to S13 are performed periodically, and the air quality information and the epidemic information stored in the storage unit 23 are updated to the latest information as appropriate. The determination of infection risk, which will be described later, shall be made using the latest information. The reception of the air quality information and the fashion information may be triggered by the reception of the determination request described later.
　次に、ユーザは、表示装置３０のＵＩ部３１に所定の操作を行い、ＵＩ部３１はこの所定の操作を受け付ける（Ｓ１４）。所定の操作には、ユーザＩＤの入力操作等が含まれる。ＵＩ部３１によって所定の操作が受け付けられると、表示装置３０は、入力されたユーザＩＤを含む判定要求をサーバ装置２０へ送信する（Ｓ１５）。 Next, the user performs a predetermined operation on the UI unit 31 of the display device 30, and the UI unit 31 accepts this predetermined operation (S14). The predetermined operation includes a user ID input operation and the like. When a predetermined operation is accepted by the UI unit 31, the display device 30 transmits a determination request including the input user ID to the server device 20 (S15).
　サーバ装置２０の通信部２１は、判定要求を受信する。ここで、サーバ装置２０の記憶部２３には、複数のユーザのユーザ情報があらかじめ記憶されている。図６は、ユーザ情報の一例を示す図である。ユーザ情報は、例えば、特定の会社に勤務している社員の社員情報である。ユーザ情報には、ユーザＩＤ、氏名、当該ユーザが主として利用する施設８０内のエリア（以下、利用エリアとも記載される）、居住地（つまり、自宅の所在地）、及び、通勤経路（居住地から施設８０までに経由する都道府県）などが含まれる。 The communication unit 21 of the server device 20 receives the determination request. Here, the storage unit 23 of the server device 20 stores user information of a plurality of users in advance. FIG. 6 is a diagram showing an example of user information. The user information is, for example, employee information of an employee who works for a specific company. The user information includes a user ID, a name, an area in the facility 80 mainly used by the user (hereinafter, also referred to as a usage area), a place of residence (that is, the location of the home), and a commuting route (from the place of residence). Prefectural governments that pass through to facility 80) are included.
　第一取得部２４は、このようなユーザ情報を参照することにより、ステップＳ１５において受信した判定要求に含まれるユーザＩＤに対応付けられた利用エリアを特定し、特定した利用エリアに対応付けられた空気質情報を記憶部２３から取得する（Ｓ１６）。 By referring to such user information, the first acquisition unit 24 identifies the usage area associated with the user ID included in the determination request received in step S15, and is associated with the specified usage area. The air quality information is acquired from the storage unit 23 (S16).
　次に、第二取得部２５は、施設８０が属する地域の流行情報を記憶部２３から取得する（Ｓ１７）。例えば、第二取得部２５は、施設８０が○○県に位置する場合には、○○県に対応付けられた流行情報を取得する。 Next, the second acquisition unit 25 acquires the epidemic information of the area to which the facility 80 belongs from the storage unit 23 (S17). For example, when the facility 80 is located in XX prefecture, the second acquisition unit 25 acquires the epidemic information associated with XX prefecture.
　次に、判定部２７は、ステップＳ１６において取得された空気質情報、及び、ステップＳ１７において取得された流行情報に基づいて、感染リスクの判定を行う（Ｓ１８）。判定部２７は、利用エリアの感染リスク（つまり、施設８０内の感染リスク）と、施設８０の周辺地域の感染リスク（つまり、施設８０外の感染リスク）とを判定する。なお、周辺地域には、少なくとも施設８０が属する地域が含まれる。 Next, the determination unit 27 determines the infection risk based on the air quality information acquired in step S16 and the epidemic information acquired in step S17 (S18). The determination unit 27 determines the infection risk in the use area (that is, the infection risk in the facility 80) and the infection risk in the area around the facility 80 (that is, the infection risk outside the facility 80). The surrounding area includes at least the area to which the facility 80 belongs.
　まず、利用エリアの感染リスクの判定方法について説明する。判定部２７は、空気質情報が示す換気量と、所定の第一閾値とを比較することにより、利用エリアの感染リスクを判定する。利用エリアにおいては、換気量が多いほど、感染症に感染する可能性は低く、安全であると考えられる。そこで、判定部２７は、空気質情報が示す換気量が第一閾値以上である場合に、ユーザの利用エリアが安全であると判定する。また、判定部２７は、空気質情報が示す換気量が第一閾値未満である場合に、ユーザの利用エリアが安全でない（要注意である）と判定する。つまり、判定部２７は、空気質情報が示す換気量が多いほど、感染リスクが低いと判定する。この場合の第一閾値は、例えば、３０ｍ３／ｈなどの０より大きい値であるが、経験的または実験的に適宜定められればよい。 First, a method for determining the infection risk in the usage area will be described. The determination unit 27 determines the infection risk in the use area by comparing the ventilation volume indicated by the air quality information with a predetermined first threshold value. In the area of use, the greater the ventilation volume, the less likely it is to be infected with an infectious disease, and it is considered safer. Therefore, the determination unit 27 determines that the user's usage area is safe when the ventilation volume indicated by the air quality information is equal to or greater than the first threshold value. Further, the determination unit 27 determines that the user's usage area is unsafe (need attention) when the ventilation volume indicated by the air quality information is less than the first threshold value. That is, the determination unit 27 determines that the larger the ventilation volume indicated by the air quality information, the lower the risk of infection. The first threshold value in this case is a value larger than 0, for example, 30 m 3 / h, but may be appropriately determined empirically or experimentally.
　次に、施設８０の周辺地域の感染リスクについて説明する。判定部２７は、流行情報が示す人口当たりの感染者数と、所定の第二閾値とを比較することにより、施設８０の周辺地域の感染リスクを判定する。施設８０属する地域における人口当たりの感染者数が少ないほど、感染症に感染する可能性は低く、施設８０の周辺地域は安全であると考えられる。そこで、判定部２７は、流行情報が示す人口当たりの感染者数が第二閾値未満である場合に、施設８０の周辺地域が安全であると判定する。また、判定部２７は、流行情報が示す人口当たりの感染者数が第二閾値以上である場合に、施設８０の周辺地域が安全でない（要注意である）と判定する。つまり、判定部２７は、人口当たりの感染者数が少ないほど、感染リスクが低いと判定する。この場合の第二閾値は、経験的または実験的に適宜定められればよい。 Next, the risk of infection in the area around the facility 80 will be explained. The determination unit 27 determines the infection risk in the area surrounding the facility 80 by comparing the number of infected persons per population indicated by the epidemic information with a predetermined second threshold value. The smaller the number of infected people per capita in the area to which the facility 80 belongs, the lower the possibility of being infected with an infectious disease, and the area around the facility 80 is considered to be safe. Therefore, the determination unit 27 determines that the area around the facility 80 is safe when the number of infected persons per population indicated by the epidemic information is less than the second threshold value. Further, the determination unit 27 determines that the area around the facility 80 is unsafe (be careful) when the number of infected persons per population indicated by the epidemic information is equal to or greater than the second threshold value. That is, the determination unit 27 determines that the smaller the number of infected persons per population, the lower the risk of infection. The second threshold value in this case may be appropriately determined empirically or experimentally.
　次に、出力部２８は、判定部２７による判定の結果を示す感染リスク情報を出力する（Ｓ１９）。感染リスク情報は、具体的には、利用エリアが安全であるか否かと、施設８０の周辺地域が安全であるか否かとを示す情報である。通信部２１は、出力された感染リスク情報を表示装置３０に送信する（Ｓ２０）。 Next, the output unit 28 outputs infection risk information indicating the result of the determination by the determination unit 27 (S19). Specifically, the infection risk information is information indicating whether or not the use area is safe and whether or not the area around the facility 80 is safe. The communication unit 21 transmits the output infection risk information to the display device 30 (S20).
　表示装置３０は、感染リスク情報を受信し、受信した感染リスク情報に基づいて、感染リスクの判定の結果を示す画像をＵＩ部３１に表示する（Ｓ２１）。図７は、感染リスクの判定の結果を示す画像の一例を示す図である。 The display device 30 receives the infection risk information, and displays an image showing the result of the infection risk determination on the UI unit 31 based on the received infection risk information (S21). FIG. 7 is a diagram showing an example of an image showing the result of determination of infection risk.
　図７では、感染リスクの判定の結果は、施設８０内の利用エリアにおける第一感染リスクレベルを示す軸（縦軸）、及び、施設８０の周辺地域における第二感染リスクレベルを示す軸（横軸）を２軸とするマトリクスを用いて表示されている。つまり、施設８０内の利用エリアにおける第一感染リスクレベル、及び、施設８０の周辺地域における第二感染リスクレベルが同時に表示されている。図７に示される画像は、施設８０内の感染リスクは高く（つまり、要注意）、施設８０の周辺の感染リスクは低い（つまり、安全）と判定されたことを示している。また、マトリクス中では、換気量の数値、及び、感染者数の数値が文字で表示されている。 In FIG. 7, the results of the infection risk determination are an axis (vertical axis) indicating the first infection risk level in the use area in the facility 80 and an axis (horizontal axis) indicating the second infection risk level in the area surrounding the facility 80. Axis) is displayed using a matrix with two axes. That is, the first infection risk level in the usage area in the facility 80 and the second infection risk level in the surrounding area of the facility 80 are displayed at the same time. The image shown in FIG. 7 shows that the risk of infection in the facility 80 is high (ie, caution required) and the risk of infection around the facility 80 is low (ie, safe). Further, in the matrix, the numerical value of the ventilation volume and the numerical value of the number of infected persons are displayed in characters.
　このように、表示装置３０は、感染リスク情報を受信し、受信した感染リスク情報に基づいて、判定の結果をマトリクスによって示す画像を表示する。つまり、ステップＳ１９において、出力部２８は、感染リスク情報として、第一感染リスクレベルを示す軸、及び、第二感染リスクレベルを示す軸を２軸とするマトリクスを表示装置３０に表示するための情報を出力している。なお、このように判定の結果がマトリクスを用いて表示されることは必須ではなく、判定の結果は文字で表示されてもよい。 In this way, the display device 30 receives the infection risk information and displays an image showing the determination result by a matrix based on the received infection risk information. That is, in step S19, the output unit 28 displays on the display device 30 as infection risk information a matrix having an axis indicating the first infection risk level and an axis indicating the second infection risk level as two axes. Information is being output. It is not essential that the determination result is displayed using the matrix in this way, and the determination result may be displayed in characters.
　このように、感染リスク判定システム１０は、空気質情報、及び、流行情報に基づいて、感染リスクの判定を行い、判定の結果を示す感染リスク情報を出力する。このような感染リスク判定システム１０は、ユーザが居住地（自宅）から施設８０へ向かうべきかどうかを判断するための材料を提供することができる。 In this way, the infection risk determination system 10 determines the infection risk based on the air quality information and the epidemic information, and outputs the infection risk information indicating the result of the determination. Such an infection risk determination system 10 can provide a material for determining whether or not the user should go from the place of residence (home) to the facility 80.
　［動作例２］
　感染リスク判定システム１０は、空気質情報及び流行情報に加えて、施設８０内の人の数を示す人数情報を用いて、感染リスクの判定を行ってもよい。以下、このような感染リスク判定システム１０の動作例２について説明する。図８は、感染リスク判定システム１０の動作例２のシーケンス図である。 [Operation example 2]
The infection risk determination system 10 may determine the infection risk by using the number information indicating the number of people in the facility 80 in addition to the air quality information and the epidemic information. Hereinafter, operation example 2 of such an infection risk determination system 10 will be described. FIG. 8 is a sequence diagram of operation example 2 of the infection risk determination system 10.
　サーバ装置２０の通信部２１は、換気システム４０から空気質情報（図２）を受信し（Ｓ３１）、情報管理サーバ５０から流行情報（図３）を受信する（Ｓ３２）。また、通信部２１は、入退管理システム６０から人数情報（図５）を受信する（Ｓ３３）。 The communication unit 21 of the server device 20 receives air quality information (FIG. 2) from the ventilation system 40 (S31), and receives trend information (FIG. 3) from the information management server 50 (S32). Further, the communication unit 21 receives the number of people information (FIG. 5) from the entry / exit management system 60 (S33).
　情報処理部２２は、受信された空気質情報、流行情報、及び、人数情報を記憶部２３に記憶する（Ｓ３４）。ステップＳ３１～Ｓ３４の処理は定期的に行われ、記憶部２３に記憶される空気質情報、流行情報、及び、人数情報は、適宜、最新の情報に更新される。後述の感染リスクの判定は、最新の情報を用いて行われるものとする。なお、空気質情報、流行情報、及び、人数情報の受信は、後述する判定要求が受信されたことをトリガに行われてもよい。 The information processing unit 22 stores the received air quality information, trend information, and number of people information in the storage unit 23 (S34). The processes of steps S31 to S34 are periodically performed, and the air quality information, the epidemic information, and the number of people information stored in the storage unit 23 are updated to the latest information as appropriate. The determination of infection risk, which will be described later, shall be made using the latest information. The reception of the air quality information, the trend information, and the number of people information may be triggered by the reception of the determination request described later.
　次に、ユーザは、表示装置３０のＵＩ部３１に所定の操作を行い、ＵＩ部３１はこの所定の操作を受け付ける（Ｓ３５）。所定の操作には、ユーザＩＤ及びパスワードの入力操作等が含まれる。ＵＩ部３１によって所定の操作が受け付けられると、表示装置３０は、入力されたユーザＩＤ及びパスワードを含む判定要求をサーバ装置２０へ送信する（Ｓ３６）。 Next, the user performs a predetermined operation on the UI unit 31 of the display device 30, and the UI unit 31 accepts this predetermined operation (S35). The predetermined operation includes an operation of inputting a user ID and a password. When a predetermined operation is accepted by the UI unit 31, the display device 30 transmits a determination request including the input user ID and password to the server device 20 (S36).
　サーバ装置２０の通信部２１は、判定要求を受信する。第一取得部２４は、記憶部２３に記憶されたユーザ情報（図６）を参照することにより、ステップＳ３６において受信した判定要求に含まれるユーザＩＤに対応付けられた利用エリアを特定し、特定した利用エリアに対応付けられた空気質情報を記憶部２３から取得する（Ｓ３７）。 The communication unit 21 of the server device 20 receives the determination request. The first acquisition unit 24 identifies and identifies the usage area associated with the user ID included in the determination request received in step S36 by referring to the user information (FIG. 6) stored in the storage unit 23. The air quality information associated with the used area is acquired from the storage unit 23 (S37).
　次に、第二取得部２５は、施設８０が属する地域の流行情報を記憶部２３から取得する（Ｓ３８）。第三取得部２６は、第一取得部２４によって特定された利用エリアに対応付けられた人数情報を記憶部２３から取得する（Ｓ３９）。 Next, the second acquisition unit 25 acquires the epidemic information of the area to which the facility 80 belongs from the storage unit 23 (S38). The third acquisition unit 26 acquires the number of people information associated with the use area specified by the first acquisition unit 24 from the storage unit 23 (S39).
　次に、判定部２７は、ステップＳ３７において取得された空気質情報、ステップＳ３８において取得された流行情報、及び、ステップＳ３９において取得された人数情報に基づいて、感染リスクの判定を行う（Ｓ４０）。 Next, the determination unit 27 determines the infection risk based on the air quality information acquired in step S37, the epidemic information acquired in step S38, and the number of people information acquired in step S39 (S40). ..
　例えば、判定部２７は、空気質情報が示す換気量と、第一閾値とを比較することにより、ユーザの利用エリアの感染リスク（つまり、施設８０の感染リスク）を判定する。動作例１との違いは、第一閾値が、利用エリアに位置する人の人数（つまり、人数情報が示す人数）に応じて変更される点である。 For example, the determination unit 27 determines the infection risk of the user's area of use (that is, the infection risk of the facility 80) by comparing the ventilation volume indicated by the air quality information with the first threshold value. The difference from the operation example 1 is that the first threshold value is changed according to the number of people located in the usage area (that is, the number of people indicated by the number of people information).
　利用エリアにおける人数が多いほど、感染性物質への感染を抑制するために必要な換気量は多くなる。そこで、判定部２７は、例えば、一人当たりに必要な換気量×人数を第一閾値として決定する。なお、判定部２７は、人数情報が示す人数が多いほど、第一閾値を大きい値に決定すればよい。ステップＳ４０における感染リスクの判定方法は、第一閾値が人数に応じて変更される点以外は、動作例１のステップＳ１８と同様であるため詳細な説明が省略される。 The larger the number of people in the area of use, the greater the ventilation required to control infection with infectious substances. Therefore, the determination unit 27 determines, for example, the ventilation volume required per person × the number of people as the first threshold value. The determination unit 27 may determine the first threshold value to a larger value as the number of people indicated by the number of people information increases. Since the method for determining the infection risk in step S40 is the same as step S18 in operation example 1 except that the first threshold value is changed according to the number of people, detailed description thereof will be omitted.
　次に、出力部２８は、判定部２７による判定の結果を示す感染リスク情報を出力する（Ｓ４１）。通信部２１は、出力された感染リスク情報を表示装置３０に送信する（Ｓ４２）。 Next, the output unit 28 outputs infection risk information indicating the result of the determination by the determination unit 27 (S41). The communication unit 21 transmits the output infection risk information to the display device 30 (S42).
　表示装置３０は、感染リスク情報を受信し、受信した感染リスク情報に基づいて、感染リスクの判定の結果を示す画像をＵＩ部３１に表示する（Ｓ４３）。ステップＳ４１～ステップＳ４３の処理は、ステップＳ１９～ステップＳ２１の処理と同様である。 The display device 30 receives the infection risk information, and displays an image showing the result of the infection risk determination on the UI unit 31 based on the received infection risk information (S43). The processing of steps S41 to S43 is the same as the processing of steps S19 to S21.
　このように、感染リスク判定システム１０は、空気質情報、流行情報、及び、人数情報に基づいて、感染リスクの判定を行い、判定の結果を示す感染リスク情報を出力する。このような感染リスク判定システム１０は、施設８０内の感染リスクの判定に用いられる第一閾値を人数情報に基づいて変更することで、施設８０内の感染リスクの判定の結果の妥当性を向上することができる。 In this way, the infection risk determination system 10 determines the infection risk based on the air quality information, the epidemic information, and the number of people information, and outputs the infection risk information indicating the result of the determination. Such an infection risk determination system 10 improves the validity of the result of the determination of the infection risk in the facility 80 by changing the first threshold value used for the determination of the infection risk in the facility 80 based on the number of people information. can do.
　なお、人数情報が入退管理システム６０によって提供されることは必須ではない。例えば、利用エリアが会議室などである場合、人数情報は会議室予約システムによって提供されてもよい。また、利用エリアにカメラが設置されている場合、第三取得部２６は、このカメラによって撮影された画像の画像情報を取得し、判定部２７は、画像情報に対して画像処理（顔認識処理またはパターンマッチング処理など）を行うことにより、利用エリアにおける人数を特定することができる。つまり、人数情報は、画像情報であってもよく、第三取得部２６は、画像情報を人数情報として取得することができる。 It is not essential that the number of people information is provided by the entry / exit management system 60. For example, when the usage area is a conference room or the like, the number of people information may be provided by the conference room reservation system. When a camera is installed in the usage area, the third acquisition unit 26 acquires the image information of the image taken by this camera, and the determination unit 27 performs image processing (face recognition processing) on the image information. Alternatively, the number of people in the usage area can be specified by performing pattern matching processing or the like). That is, the number of people information may be image information, and the third acquisition unit 26 can acquire the image information as the number of people information.
　［施設内の感染リスクの判定方法の変形例１］
　動作例１及び２においては、利用エリアの感染リスク（つまり、施設８０内の感染リスク）は、換気量に基づいて判定されたが、二酸化炭素濃度に基づいて判定されてもよい。上述のように、空気質情報（図２）は、換気量だけでなく二酸化炭素濃度を示している。二酸化炭素濃度が高い場合には換気量が不十分と推定され、二酸化炭素濃度が低い場合には換気量が十分であると考えられる。つまり、二酸化炭素濃度は、換気量を間接的に示す指標として利用できる。 [Modification 1 of the method for determining the risk of infection in a facility]
In the operation examples 1 and 2, the infection risk in the use area (that is, the infection risk in the facility 80) is determined based on the ventilation volume, but may be determined based on the carbon dioxide concentration. As mentioned above, the air quality information (FIG. 2) shows not only the ventilation volume but also the carbon dioxide concentration. If the carbon dioxide concentration is high, it is estimated that the ventilation volume is insufficient, and if the carbon dioxide concentration is low, the ventilation volume is considered to be sufficient. That is, the carbon dioxide concentration can be used as an index that indirectly indicates the ventilation volume.
　例えば、判定部２７は、空気質情報が示す利用エリアにおける二酸化炭素濃度と、所定の第一閾値とを比較することにより、利用エリアの感染リスク（つまり、施設８０内の感染リスク）を判定する。利用エリアにおいては、二酸化炭素濃度が低い（換気量が多い）ほど、感染性物質に感染する可能性は低く、安全であると考えられる。そこで、判定部２７は、二酸化炭素濃度が第一閾値未満である場合に、利用エリアが安全であると判定する。また、判定部２７は、二酸化炭素濃度が第一閾値以上である場合に、ユーザの利用エリアが安全でない（要注意である）と判定する。つまり、判定部２７は、二酸化炭素濃度が低いほど、感染リスクが低いと判定する。この場合の第一閾値は、例えば、１０００ｐｐｍまたは９００ｐｐｍなどの０より大きい値であるが、経験的または実験的に適宜定められればよい。 For example, the determination unit 27 determines the infection risk in the use area (that is, the infection risk in the facility 80) by comparing the carbon dioxide concentration in the use area indicated by the air quality information with a predetermined first threshold value. .. In the area of use, the lower the carbon dioxide concentration (more ventilation), the less likely it is to be infected with an infectious substance, and it is considered safer. Therefore, the determination unit 27 determines that the use area is safe when the carbon dioxide concentration is less than the first threshold value. Further, the determination unit 27 determines that the user's usage area is unsafe (need attention) when the carbon dioxide concentration is equal to or higher than the first threshold value. That is, the determination unit 27 determines that the lower the carbon dioxide concentration, the lower the risk of infection. The first threshold value in this case is a value larger than 0, for example, 1000 ppm or 900 ppm, but may be appropriately determined empirically or experimentally.
　ところで、施設８０内における二酸化炭素濃度は人が排出することで上昇する。施設８０内に人がいない場合には、二酸化炭素濃度は換気が行われていなくても低いままとなる。図９は、施設８０がオフィスである場合の二酸化炭素濃度の変化の一例を示す図である。図９の例では、６：００～１０：００の時間帯は、二酸化炭素濃度の絶対値は低いものの、社員が出勤してオフィス内の人数が増えるために二酸化炭素濃度の上昇率が高く、換気が不十分であると推定される。 By the way, the carbon dioxide concentration in the facility 80 rises when a person emits it. When there are no people in the facility 80, the carbon dioxide concentration remains low even without ventilation. FIG. 9 is a diagram showing an example of a change in carbon dioxide concentration when the facility 80 is an office. In the example of FIG. 9, the absolute value of the carbon dioxide concentration is low during the time period from 6:00 to 10:00, but the rate of increase in the carbon dioxide concentration is high because the number of employees in the office increases. It is presumed that ventilation is inadequate.
　そこで、判定部２７は、二酸化炭素濃度の絶対値が第一閾値未満であっても、二酸化炭素濃度の直近の所定期間における上昇率（変化量）が第三閾値（＞０）以上である場合には、利用エリアが安全でない（要注意である）と判定してもよい。つまり、判定部２７は、二酸化炭素濃度の絶対値が第一閾値未満である場合には、二酸化炭素濃度の変化量の判定をさらに行い、判定の結果に基づいて感染リスクを判定してもよい。このような感染リスク判定システム１０は、施設８０内の感染リスクの判定の結果の妥当性を向上することができる。 Therefore, the determination unit 27 determines that even if the absolute value of the carbon dioxide concentration is less than the first threshold value, the rate of increase (change amount) of the carbon dioxide concentration in the latest predetermined period is equal to or higher than the third threshold value (> 0). It may be determined that the usage area is unsafe (need attention). That is, when the absolute value of the carbon dioxide concentration is less than the first threshold value, the determination unit 27 may further determine the amount of change in the carbon dioxide concentration and determine the infection risk based on the determination result. .. Such an infection risk determination system 10 can improve the validity of the result of the infection risk determination in the facility 80.
　［施設内の感染リスクの判定方法の変形例２］
　また、上記動作例１においては、判定部２７は、空気質情報が示す換気量と、第一閾値とを比較することにより、ユーザの利用エリアの感染リスク（つまり、施設８０内の感染リスク）を判定した。このとき、判定部２７は、第二取得部２５によって取得された流行情報が示す流行状況の程度に応じて第一閾値を変更してもよい。判定部２７は、具体的には、流行情報により感染症の流行が広がっていることが示される（感染者数であれば感染者数が多い）ほど、第一閾値を大きい値に決定する。 [Modification 2 of the method for determining the risk of infection in a facility]
Further, in the above operation example 1, the determination unit 27 compares the ventilation volume indicated by the air quality information with the first threshold value to determine the infection risk in the user's usage area (that is, the infection risk in the facility 80). Was judged. At this time, the determination unit 27 may change the first threshold value according to the degree of the epidemic situation indicated by the epidemic information acquired by the second acquisition unit 25. Specifically, the determination unit 27 determines the first threshold value to a larger value as the epidemic information indicates that the epidemic of the infectious disease is spreading (the number of infected persons is large if the number of infected persons is large).
　このような感染リスク判定システム１０は、施設８０が属する地域において感染症の流行が広がっているときほど、施設８０内の感染リスクの判定基準を厳しくすることで、施設８０内の感染リスクの判定の結果の妥当性を向上することができる。 Such an infection risk determination system 10 determines the infection risk in the facility 80 by tightening the determination criteria for the infection risk in the facility 80 as the epidemic of the infectious disease spreads in the area to which the facility 80 belongs. The validity of the result can be improved.
　なお、流行情報に基づいて第一閾値が変更される構成は、上記動作例２に適用されてもよい。つまり、動作例２において、第一閾値は人数情報及び流行情報に基づいて変更されてもよい。また、流行情報に基づいて第一閾値が変更される構成は、上記変形例１と組み合わされてもよい。つまり、二酸化炭素濃度に対する第一閾値が、流行情報に基づいて変更されてもよい。また、上記変形例１において、二酸化炭素濃度の変化量に対する第三閾値が、流行情報に基づいて変更されてもよい。 The configuration in which the first threshold value is changed based on the trend information may be applied to the above operation example 2. That is, in the operation example 2, the first threshold value may be changed based on the number of people information and the fashion information. Further, the configuration in which the first threshold value is changed based on the epidemic information may be combined with the above-mentioned modification 1. That is, the first threshold for carbon dioxide concentration may be changed based on epidemic information. Further, in the above-mentioned modification 1, the third threshold value for the amount of change in carbon dioxide concentration may be changed based on the epidemic information.
　[施設外の感染リスクの判定方法の変形例１]
　動作例１及び２においては、施設８０の周辺地域の感染リスク（つまり、施設８０外の感染リスク）は、施設８０が属する地域における人口当たりの感染者数に基づいて判定されたが、感染者数、重症者数、及び、重症者の病床使用率などに基づいて判定されてもよい。上述のように、流行情報（図３）は、人口当たりの感染者数だけでなく感染者数、重症者数、及び、重症者の病床使用率などを示している。感染者数、重症者数、及び、重症者の病床使用率なども、感染症の流行状況を示す指標として利用できる。なお、判定には、例えば、各指標に応じて定められる閾値が用いられる。 [Modification 1 of the method for determining the risk of infection outside the facility]
In operation examples 1 and 2, the risk of infection in the area surrounding the facility 80 (that is, the risk of infection outside the facility 80) was determined based on the number of infected persons per population in the area to which the facility 80 belongs, but the infected persons. The determination may be made based on the number, the number of severely ill persons, the bed utilization rate of severely ill persons, and the like. As described above, the epidemic information (FIG. 3) shows not only the number of infected persons per population but also the number of infected persons, the number of severely ill persons, and the bed usage rate of severely ill persons. The number of infected persons, the number of severely ill persons, and the bed usage rate of severely ill persons can also be used as an index showing the epidemic situation of infectious diseases. For the determination, for example, a threshold value determined according to each index is used.
　[施設外の感染リスクの判定方法の変形例２]
　動作例１及び２においては、施設８０の周辺地域の感染リスク（つまり、施設８０外の感染リスク）は、施設８０が属する地域における流行情報だけでなく、ユーザが居住地から施設８０までに経由する地域における流行情報を用いて判定されてもよい。つまり、周辺地域には、施設８０が属する地域だけでなく、ユーザが居住地から施設８０までに経由する地域が含まれてもよい。 [Modification 2 of the method for determining the risk of infection outside the facility]
In the operation examples 1 and 2, the infection risk in the area around the facility 80 (that is, the infection risk outside the facility 80) is not only the epidemic information in the area to which the facility 80 belongs, but also the user goes from the place of residence to the facility 80. It may be determined using the epidemic information in the area where the disease occurs. That is, the surrounding area may include not only the area to which the facility 80 belongs but also the area where the user travels from the place of residence to the facility 80.
　例えば、動作例１のステップＳ１７において、第二取得部２５は、施設８０が属する地域の流行情報に加えて、ユーザの通勤経路に含まれる地域の流行情報を記憶部２３から取得する。第二取得部２５は、より具体的には、ユーザ情報（図６）を参照することにより、ステップＳ１５において受信した判定要求に含まれるユーザＩＤに対応付けられた通勤経路を特定し、特定した通勤経路に含まれる１以上の地域に対応付けられた流行情報を記憶部２３から取得する。 For example, in step S17 of the operation example 1, the second acquisition unit 25 acquires the epidemic information of the area included in the user's commuting route from the storage unit 23 in addition to the epidemic information of the area to which the facility 80 belongs. More specifically, the second acquisition unit 25 identifies and identifies the commuting route associated with the user ID included in the determination request received in step S15 by referring to the user information (FIG. 6). The epidemic information associated with one or more areas included in the commuting route is acquired from the storage unit 23.
　この場合、ステップＳ１８における、施設８０の周辺地域の感染リスクの判定方法は以下のようになる。判定部２７は、第二取得部２５によって取得された１以上の地域の流行情報に基づいて、１以上の地域それぞれにおける人口当たりの感染者数を特定する。そして、判定部２７は、１以上の地域の中に人口当たりの感染者数が第二閾値以上である地域が１つでも存在する場合には、施設８０の周辺地域が安全でない（要注意である）と判定する。判定部２７は、１以上の地域の全てにおいて人口当たりの感染者数が第二閾値未満である場合には、施設８０の周辺地域が安全であると判定する。 In this case, the method for determining the infection risk in the area surrounding the facility 80 in step S18 is as follows. The determination unit 27 identifies the number of infected persons per population in each of the one or more regions based on the epidemic information of one or more regions acquired by the second acquisition unit 25. Then, if the determination unit 27 has at least one area in which the number of infected persons per population is equal to or higher than the second threshold value in one or more areas, the area around the facility 80 is not safe (be careful). Yes). When the number of infected persons per population is less than the second threshold value in all of one or more areas, the determination unit 27 determines that the area around the facility 80 is safe.
　このような感染リスク判定システム１０は、ユーザの通勤経路を考慮して、施設８０の周辺の感染リスクを判定することができる。 Such an infection risk determination system 10 can determine the infection risk around the facility 80 in consideration of the user's commuting route.
　なお、ユーザが居住地から施設８０までに経由する地域における流行情報を用いて感染リスクが判定される構成は、上記動作例２、及び、各記変形例と組み合わされてもよい。 The configuration in which the infection risk is determined using the epidemic information in the area where the user passes from the place of residence to the facility 80 may be combined with the above operation example 2 and each modification.
　［その他の変形例１］
　上記実施の形態において、判定部２７は、利用エリアにおける第一感染リスクレベル、及び、施設８０の周辺地域における第二感染リスクレベルを、２段階（安全であるか否か）で判定したが、感染リスクレベルは３段階以上に分けて判定されてもよい。例えば、判定部２７は、第一取得部２４によって取得された空気質情報が示す値と、互いに異なる２つ以上の第一閾値とを比較することにより利用エリアにおける第一感染リスクレベルを３段階以上に分けて判定することができる。同様に、判定部２７は、第二取得部２５によって取得された流行情報が示す値と、互いに異なる２つ以上の第二閾値とを比較することにより施設８０の周辺地域における第二感染リスクレベルを３段階以上に分けて判定することができる。 [Other Modifications 1]
In the above embodiment, the determination unit 27 determines the first infection risk level in the use area and the second infection risk level in the surrounding area of the facility 80 in two stages (whether or not it is safe). The infection risk level may be determined in three or more stages. For example, the determination unit 27 sets the first infection risk level in the use area in three stages by comparing the value indicated by the air quality information acquired by the first acquisition unit 24 with two or more different first threshold values. The determination can be made separately as described above. Similarly, the determination unit 27 determines the second infection risk level in the surrounding area of the facility 80 by comparing the value indicated by the epidemic information acquired by the second acquisition unit 25 with two or more different second threshold values. Can be determined in three or more stages.
　この場合も、判定の結果はマトリクスを用いて表示されてもよいし、文字で表示されてもよい。判定の結果がマトリクスを用いて表示される場合、出力部２８は、感染リスク情報として、第一感染リスクレベルを示す軸、及び、第二感染リスクレベルを示す軸を２軸とするマトリクスを表示装置３０に表示するための情報を出力しているといえる。 In this case as well, the determination result may be displayed using a matrix or may be displayed in characters. When the determination result is displayed using a matrix, the output unit 28 displays a matrix having an axis indicating the first infection risk level and an axis indicating the second infection risk level as two axes as infection risk information. It can be said that the information to be displayed on the device 30 is output.
　［その他の変形例２］
　また、利用エリアにおける第一感染リスクレベル、及び、施設８０の周辺地域における第二感染リスクレベルが個別に判定されることは必須ではない。判定部２７は、利用エリアにおける第一感染リスクレベル、及び、施設８０の周辺地域における第二感染リスクレベルの両方を考慮した総合的な感染リスクを判定してもよい。 [Other Modifications 2]
In addition, it is not essential that the first infection risk level in the area of use and the second infection risk level in the area surrounding the facility 80 are individually determined. The determination unit 27 may determine the overall infection risk in consideration of both the first infection risk level in the area of use and the second infection risk level in the area surrounding the facility 80.
　例えば、判定部２７は、空気質情報が示す値によって定まる第一評価値と流行情報が示す値によって定まる第二評価値とを足し合わせた総合評価値を算出し、算出した総合評価値と、閾値とを比較することにより、総合的な感染リスクを判定してもよい。この場合、総合評価値は、第一評価値及び第二評価値の重み付け和によって算出されてもよい。 For example, the determination unit 27 calculates a comprehensive evaluation value obtained by adding the first evaluation value determined by the value indicated by the air quality information and the second evaluation value determined by the value indicated by the trend information, and the calculated comprehensive evaluation value and The overall risk of infection may be determined by comparing with the threshold. In this case, the comprehensive evaluation value may be calculated by the weighted sum of the first evaluation value and the second evaluation value.
　なお、第一評価値は、例えば、０より大きい値であり、値が大きいほど感染リスクが低いことを示す。つまり、第一評価値は、空気質情報が示す換気量が大きいほど（二酸化炭素濃度が低いほど）高い値とされる。同様に、第二評価値は、例えば、０より大きい値であり、値が大きいほど感染リスクが低いことを示す。つまり、第一評価値は、流行情報により流行が広がっていないことが示されるほど高い値とされる。 The first evaluation value is, for example, a value larger than 0, and the larger the value, the lower the risk of infection. That is, the first evaluation value is set to be higher as the ventilation volume indicated by the air quality information is larger (the lower the carbon dioxide concentration). Similarly, the second evaluation value is, for example, a value larger than 0, and the larger the value, the lower the risk of infection. That is, the first evaluation value is set so high that the epidemic information indicates that the epidemic has not spread.
　［その他の変形例３］
　また、上述した入退管理システム６０は、読取装置６１がＩＤカードから取得した識別情報に基づいて、施設８０内の各エリアにおける人数だけでなく、各エリアにどのユーザが滞在しているかを管理し、サーバ装置２０に提供することができる。そうすると、サーバ装置２０は、入退管理システム６０から提供される利用エリアにどのユーザが滞在しているかを示す滞在中ユーザ情報と、ユーザ情報（図６）と、流行情報（図３）とに基づいて、利用エリアにおける感染リスクを判定することもできる。 [Other Modifications 3]
Further, the above-mentioned entry / exit management system 60 manages not only the number of people in each area in the facility 80 but also which user is staying in each area based on the identification information acquired from the ID card by the reading device 61. It can be provided to the server device 20. Then, the server device 20 uses the user information during the stay indicating which user is staying in the usage area provided by the entry / exit management system 60, the user information (FIG. 6), and the trend information (FIG. 3). Based on this, the risk of infection in the area of use can also be determined.
　例えば、判定部２７は、滞在中ユーザ情報と、ユーザ情報とに基づいて、利用エリアに滞在している１以上のユーザのそれぞれの居住地を特定することができる。また、判定部２７は、流行情報に基づいて、特定した居住地が属する地域の感染リスクを判定することができる。そして、判定部２７は、感染リスクが高い（つまり、要注意と判定された）地域に居住しているユーザの数ｎ（ｎは自然数）と、感染リスクが低い（つまり、安全と判定された）地域に居住しているユーザの数ｍ（ｍは自然数）とに基づいて利用エリアにおける感染リスクを判定する。例えば、感染リスクが低い（安全と判定された）地域に居住しているユーザの数に対するリスク評価値をａ（＞０）、感染リスクが高い（要注意と判定された）地域に居住しているユーザの数に対するリスク評価値をｂ（＞ａ）とすると、判定部２７は、ａ×ｎ＋ｂ×ｍが閾値以上であるときには、利用エリアが安全でないと判定し、ａ×ｎ＋ｂ×ｍが閾値未満であるときには、利用エリアが安全であると判定することができる。 For example, the determination unit 27 can specify the residence of one or more users staying in the usage area based on the user information during the stay and the user information. In addition, the determination unit 27 can determine the infection risk in the area to which the specified residential area belongs based on the epidemic information. Then, the determination unit 27 determines that the number n (n is a natural number) of users residing in an area where the infection risk is high (that is, it is determined that caution is required) and the infection risk is low (that is, it is safe). ) Determine the infection risk in the usage area based on the number of users m (m is a natural number) residing in the area. For example, the risk assessment value for the number of users residing in an area with a low risk of infection (determined to be safe) is a (> 0), and living in an area with a high risk of infection (determined to require attention). Assuming that the risk assessment value for the number of existing users is b (> a), the determination unit 27 determines that the usage area is unsafe when a × n + b × m is equal to or greater than the threshold value, and a × n + b × m is the threshold value. When it is less than, it can be determined that the area of use is safe.
　［その他の変形例４］
　また、施設８０内において施設８０内に滞在する人に３つの密（密閉、密集、及び、密接）を警告するアラームが発せられるような場合、アラームの発報基準が施設８０外の感染リスクに基づいて変更されてもよい。例えば、感染リスク判定システム１０は、施設８０外の感染リスクが高いほど、アラームが発せられやすくなるように、発報基準を緩くしてもよい。 [Other Modifications 4]
In addition, when an alarm is issued in the facility 80 to warn the person staying in the facility 80 of three dense (sealed, dense, and close), the alarm issuance standard is the risk of infection outside the facility 80. May be changed based on. For example, the infection risk determination system 10 may loosen the reporting standard so that the higher the infection risk outside the facility 80, the easier it is for an alarm to be issued.
　［効果等］
　以上説明したように、感染リスク判定システム１０は、施設８０内の空気質情報を取得する第一取得部２４と、施設８０の周辺地域における感染症の流行状況を示す流行情報を取得する第二取得部２５と、取得された空気質情報、及び、取得された流行情報に基づいて、感染症に対する感染リスクの判定を行う判定部２７と、判定の結果を示す感染リスク情報を出力する出力部２８とを備える。 [Effects, etc.]
As described above, the infection risk determination system 10 acquires the first acquisition unit 24 for acquiring the air quality information in the facility 80 and the second acquisition unit 24 for acquiring the epidemic information indicating the epidemic situation of the infectious disease in the area around the facility 80. The acquisition unit 25, the determination unit 27 that determines the infection risk for an infectious disease based on the acquired air quality information and the acquired epidemic information, and the output unit that outputs the infection risk information indicating the determination result. 28 and.
　このような感染リスク判定システム１０は、感染症に対する感染リスクを示す情報をユーザに提供することができる。 Such an infection risk determination system 10 can provide the user with information indicating the infection risk for an infectious disease.
　また、例えば、空気質情報は、施設８０内における換気量を示し、判定部２７は、空気質情報が示す換気量が多いほど、感染リスクが低いと判定する。 Further, for example, the air quality information indicates the ventilation volume in the facility 80, and the determination unit 27 determines that the larger the ventilation volume indicated by the air quality information, the lower the risk of infection.
　このような感染リスク判定システム１０は、施設８０における換気量に基づいて、感染リスクを判定することができる。 Such an infection risk determination system 10 can determine an infection risk based on the ventilation volume in the facility 80.
　また、例えば、空気質情報は、施設８０内における二酸化炭素濃度を示し、判定部２７は、空気質情報が示す二酸化炭素濃度が低いほど、感染リスクが低いと判定する。 Further, for example, the air quality information indicates the carbon dioxide concentration in the facility 80, and the determination unit 27 determines that the lower the carbon dioxide concentration indicated by the air quality information, the lower the risk of infection.
　このような感染リスク判定システム１０は、施設８０における二酸化炭素濃度に基づいて、感染リスクを判定することができる。 Such an infection risk determination system 10 can determine an infection risk based on the carbon dioxide concentration in the facility 80.
　また、例えば、空気質情報は、施設８０内における二酸化炭素濃度を示し、判定部２７は、空気質情報が示す二酸化炭素濃度の変化量に基づいて、感染リスクを判定する。 Further, for example, the air quality information indicates the carbon dioxide concentration in the facility 80, and the determination unit 27 determines the infection risk based on the amount of change in the carbon dioxide concentration indicated by the air quality information.
　このような感染リスク判定システム１０は、施設８０における二酸化炭素濃度の変化量に基づいて、感染リスクを判定することができる。 Such an infection risk determination system 10 can determine an infection risk based on the amount of change in carbon dioxide concentration in the facility 80.
　また、例えば、流行情報は、周辺地域に居住している、感染症への感染が判明した人の数を示し、判定部２７は、流行情報が示す感染症への感染が判明した人の数が少ないほど、感染リスクが低いと判定する。 Further, for example, the epidemic information indicates the number of people who live in the surrounding area and are found to be infected with an infectious disease, and the determination unit 27 is the number of people who are found to be infected with the infectious disease indicated by the epidemic information. The smaller the number, the lower the risk of infection.
　このような感染リスク判定システム１０は、感染症への感染が判明した人の数に基づいて、感染リスクを判定することができる。 Such an infection risk determination system 10 can determine an infection risk based on the number of people found to be infected with an infectious disease.
　また、例えば、判定部２７は、ユーザが居住地から施設８０へ向かうべきかどうかの判断するための材料として感染リスクを判定し、周辺地域には、施設８０が属する地域と、居住地から施設８０までの経路上の地域とが含まれる。 Further, for example, the determination unit 27 determines the infection risk as a material for determining whether or not the user should go from the place of residence to the facility 80, and in the surrounding area, the area to which the facility 80 belongs and the area from the place of residence to the facility Areas on the route up to 80 are included.
　このような感染リスク判定システム１０は、居住地から施設８０へ向かうべきかどうかの判断するための材料をユーザに提供することができる。 Such an infection risk determination system 10 can provide the user with materials for determining whether or not to go from the place of residence to the facility 80.
　また、例えば、判定部２７は、取得された空気質情報が示す値と、閾値とを比較することにより感染リスクを判定し、取得された流行情報が示す流行状況に応じて閾値を変更する。 Further, for example, the determination unit 27 determines the infection risk by comparing the value indicated by the acquired air quality information with the threshold value, and changes the threshold value according to the epidemic situation indicated by the acquired epidemic information.
　このような感染リスク判定システム１０は、感染症が広く流行しているときに安全と判定されるための判定基準を厳しくすることで、施設８０内の感染リスクの判定の結果の妥当性を向上することができる。 Such an infection risk determination system 10 improves the validity of the result of the determination of the infection risk in the facility 80 by tightening the determination criteria for determining the safety when the infectious disease is widespread. can do.
　また、例えば、感染リスク判定システム１０は、さらに、施設８０内の人の数を示す人数情報を取得する第三取得部２６を備える。判定部２７は、取得された空気質情報が示す値と、第一閾値とを比較することにより感染リスクを判定し、取得された人数情報が示す人の数に応じて第一閾値を変更する。 Further, for example, the infection risk determination system 10 further includes a third acquisition unit 26 for acquiring information on the number of people indicating the number of people in the facility 80. The determination unit 27 determines the infection risk by comparing the value indicated by the acquired air quality information with the first threshold value, and changes the first threshold value according to the number of people indicated by the acquired number of people information. ..
　このような感染リスク判定システム１０は、施設８０内の多くの人が存在しているときに安全と判定されるための判定基準を厳しくすることで、施設８０内の感染リスクの判定の結果の妥当性を向上することができる。 Such an infection risk determination system 10 results in the determination of the infection risk in the facility 80 by tightening the determination criteria for determining safety when many people in the facility 80 are present. The validity can be improved.
　また、例えば、判定部２７は、取得された空気質情報が示す値と、互いに異なる１つ以上の第一閾値とを比較することにより施設８０内における第一感染リスクレベルを２段階以上に分けて判定し、取得された流行情報が示す値と、互いに異なる１つ以上の第二閾値とを比較することにより周辺地域における第二感染リスクレベルを２段階以上に分けて判定する。出力部２８は、感染リスク情報として、第一感染リスクレベルを示す軸、及び、第二感染リスクレベルを示す軸を２軸とするマトリクスを表示装置３０に表示するための情報を出力する。 Further, for example, the determination unit 27 divides the first infection risk level in the facility 80 into two or more stages by comparing the value indicated by the acquired air quality information with one or more first threshold values that are different from each other. By comparing the value indicated by the acquired epidemic information with one or more second threshold values that are different from each other, the second infection risk level in the surrounding area is determined by dividing it into two or more stages. As the infection risk information, the output unit 28 outputs information for displaying on the display device 30 a matrix having an axis indicating the first infection risk level and an axis indicating the second infection risk level as two axes.
　このような感染リスク判定システム１０は、施設８０内における第一感染リスクレベルと施設８０外における第二感染リスクレベルとをマトリクス表示することができる。つまり、感染リスク判定システム１０は、ユーザが第一感染リスクレベル及び第二感染リスクレベルを認識することを支援することができる。 Such an infection risk determination system 10 can display a matrix of the first infection risk level inside the facility 80 and the second infection risk level outside the facility 80. That is, the infection risk determination system 10 can assist the user in recognizing the first infection risk level and the second infection risk level.
　また、例えば、施設８０内の空気質情報を取得する第一取得ステップＳ１６と、施設８０の周辺地域における感染症の流行状況を示す流行情報を取得する第二取得ステップＳ１７と、取得された空気質情報、及び、取得された流行情報に基づいて、感染症に対する感染リスクの判定を行う判定ステップＳ１８と、判定の結果を示す感染リスク情報を出力する出力ステップＳ１９とを含む。 Further, for example, the first acquisition step S16 for acquiring the air quality information in the facility 80, the second acquisition step S17 for acquiring the epidemic information indicating the epidemic situation of the infectious disease in the area around the facility 80, and the acquired air. It includes a determination step S18 for determining an infection risk for an infectious disease based on quality information and acquired epidemic information, and an output step S19 for outputting infection risk information indicating the result of the determination.
　このような感染リスク判定システム１０は、感染症に対する感染リスクを示す情報をユーザに提供することができる。 Such an infection risk determination system 10 can provide the user with information indicating the infection risk for an infectious disease.
　（その他の実施の形態）
　以上、実施の形態について説明したが、本発明は、上記実施の形態に限定されるものではない。 (Other embodiments)
Although the embodiments have been described above, the present invention is not limited to the above embodiments.
　例えば、上記実施の形態において、感染リスク判定システムは、複数の装置によって実現されたが、単一の装置として実現されてもよい。例えば、感染リスク判定システムは、サーバ装置に相当する単一の装置として実現されてもよい。感染リスク判定システムが複数の装置によって実現される場合、感染リスク判定システムが備える構成要素（特に、機能的な構成要素）は、複数の装置にどのように振り分けられてもよい。 For example, in the above embodiment, the infection risk determination system is realized by a plurality of devices, but may be realized as a single device. For example, the infection risk determination system may be realized as a single device corresponding to a server device. When the infection risk determination system is realized by a plurality of devices, the components (particularly, functional components) included in the infection risk determination system may be distributed to the plurality of devices in any way.
　また、上記実施の形態における装置間の通信方法については特に限定されるものではない。上記実施の形態において２つの装置が通信を行う場合、２つの装置間には図示されない中継装置が介在してもよい。 Further, the communication method between the devices in the above embodiment is not particularly limited. When two devices communicate with each other in the above embodiment, a relay device (not shown) may be interposed between the two devices.
　また、上記実施の形態で説明された処理の順序は、一例である。複数の処理の順序は変更されてもよいし、複数の処理は並行して実行されてもよい。また、特定の処理部が実行する処理を別の処理部が実行してもよい。 Further, the order of processing described in the above embodiment is an example. The order of the plurality of processes may be changed, or the plurality of processes may be executed in parallel. Further, another processing unit may execute the processing executed by the specific processing unit.
　また、上記実施の形態において、各構成要素は、各構成要素に適したソフトウェアプログラムを実行することによって実現されてもよい。各構成要素は、ＣＰＵ又はプロセッサなどのプログラム実行部が、ハードディスク又は半導体メモリなどの記録媒体に記録されたソフトウェアプログラムを読み出して実行することによって実現されてもよい。 Further, in the above embodiment, each component may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or a processor reading and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory.
　また、各構成要素は、ハードウェアによって実現されてもよい。例えば、各構成要素は、回路（又は集積回路）でもよい。これらの回路は、全体として１つの回路を構成してもよいし、それぞれ別々の回路でもよい。また、これらの回路は、それぞれ、汎用的な回路でもよいし、専用の回路でもよい。 Further, each component may be realized by hardware. For example, each component may be a circuit (or an integrated circuit). These circuits may form one circuit as a whole, or may be separate circuits from each other. Further, each of these circuits may be a general-purpose circuit or a dedicated circuit.
　また、本発明の全般的又は具体的な態様は、システム、装置、方法、集積回路、コンピュータプログラム又はコンピュータ読み取り可能なＣＤ－ＲＯＭなどの記録媒体で実現されてもよい。また、システム、装置、方法、集積回路、コンピュータプログラム及び記録媒体の任意な組み合わせで実現されてもよい。例えば、本発明は、感染リスク判定システムなどのコンピュータが実行する感染リスク判定方法として実行されてもよいし、このような感染リスク判定方法をコンピュータに実行させるためのプログラムとして実現されてもよい。また、本発明は、このようなプログラムが記録されたコンピュータ読み取り可能な非一時的な記録媒体として実現されてもよい。 Further, the general or specific embodiment of the present invention may be realized by a recording medium such as a system, an apparatus, a method, an integrated circuit, a computer program, or a computer-readable CD-ROM. Further, it may be realized by any combination of a system, an apparatus, a method, an integrated circuit, a computer program and a recording medium. For example, the present invention may be executed as an infection risk determination method executed by a computer such as an infection risk determination system, or may be realized as a program for causing a computer to execute such an infection risk determination method. Further, the present invention may be realized as a computer-readable non-temporary recording medium in which such a program is recorded.
　その他、各実施の形態に対して当業者が思いつく各種変形を施して得られる形態、又は、本発明の趣旨を逸脱しない範囲で各実施の形態における構成要素及び機能を任意に組み合わせることで実現される形態も本発明に含まれる。 In addition, it is realized by a form obtained by applying various modifications to each embodiment that a person skilled in the art can think of, or by arbitrarily combining the components and functions in each embodiment within the range not deviating from the gist of the present invention. Also included in the present invention.
　１０　感染リスク判定システム
　２４　第一取得部
　２５　第二取得部
　２６　第三取得部
　２７　判定部
　２８　出力部
　３０　表示装置
　８０　施設 10 Infection risk judgment system 24 1st acquisition unit 25 2nd acquisition unit 26 3rd acquisition unit 27 Judgment unit 28 Output unit 30 Display device 80 Facility

Claims (11)

  1. 　施設内の空気質情報を取得する第一取得部と、
    　前記施設の周辺地域における感染症の流行状況を示す流行情報を取得する第二取得部と、
    　取得された前記空気質情報、及び、取得された前記流行情報に基づいて、前記感染症に対する感染リスクの判定を行う判定部と、
    　前記判定の結果を示す感染リスク情報を出力する出力部とを備える
    　感染リスク判定システム。     The first acquisition department that acquires air quality information in the facility,
    The second acquisition department that acquires epidemic information indicating the epidemic situation of infectious diseases in the area around the facility,
    Based on the acquired air quality information and the acquired epidemic information, a determination unit that determines the infection risk for the infectious disease, and a determination unit.
    An infection risk determination system including an output unit that outputs infection risk information indicating the result of the determination.
  2. 　前記空気質情報は、前記施設内における換気量を示し、
    　前記判定部は、前記空気質情報が示す前記換気量が多いほど、前記感染リスクが低いと判定する
    　請求項１に記載の感染リスク判定システム。     The air quality information indicates the ventilation volume in the facility.
    The infection risk determination system according to claim 1, wherein the determination unit determines that the larger the ventilation volume indicated by the air quality information, the lower the infection risk.
  3. 　前記空気質情報は、前記施設内における二酸化炭素濃度を示し、
    　前記判定部は、前記空気質情報が示す前記二酸化炭素濃度が低いほど、前記感染リスクが低いと判定する
    　請求項１に記載の感染リスク判定システム。     The air quality information indicates the carbon dioxide concentration in the facility.
    The infection risk determination system according to claim 1, wherein the determination unit determines that the lower the carbon dioxide concentration indicated by the air quality information, the lower the infection risk.
  4. 　前記空気質情報は、前記施設内における二酸化炭素濃度を示し、
    　前記判定部は、前記空気質情報が示す前記二酸化炭素濃度の変化量に基づいて、前記感染リスクを判定する
    　請求項１に記載の感染リスク判定システム。     The air quality information indicates the carbon dioxide concentration in the facility.
    The infection risk determination system according to claim 1, wherein the determination unit determines the infection risk based on the amount of change in the carbon dioxide concentration indicated by the air quality information.
  5. 　前記流行情報は、前記周辺地域に居住している、前記感染症への感染が判明した人の数を示し、
    　前記判定部は、前記流行情報が示す前記感染症への感染が判明した人の数が少ないほど、前記感染リスクが低いと判定する
    　請求項１～４のいずれか１項に記載の感染リスク判定システム。     The epidemic information indicates the number of people residing in the surrounding area who are found to be infected with the infectious disease.
    The infection risk determination according to any one of claims 1 to 4, wherein the determination unit determines that the smaller the number of people found to be infected with the infectious disease indicated by the epidemic information, the lower the infection risk. system.
  6. 　前記判定部は、ユーザが居住地から前記施設へ向かうべきかどうかの判断するための材料として前記感染リスクを判定し、
    　前記周辺地域には、前記施設が属する地域と、前記居住地から前記施設までの経路上の地域とが含まれる
    　請求項１～５のいずれか１項に記載の感染リスク判定システム。     The determination unit determines the infection risk as a material for determining whether or not the user should go from the place of residence to the facility.
    The infection risk determination system according to any one of claims 1 to 5, wherein the surrounding area includes an area to which the facility belongs and an area on the route from the place of residence to the facility.
  7. 　前記判定部は、
    　取得された前記空気質情報が示す値と、閾値とを比較することにより前記感染リスクを判定し、
    　取得された前記流行情報が示す流行状況に応じて前記閾値を変更する
    　請求項１～６のいずれか１項に記載の感染リスク判定システム。     The determination unit
    The infection risk is determined by comparing the acquired value indicated by the air quality information with the threshold value.
    The infection risk determination system according to any one of claims 1 to 6, wherein the threshold value is changed according to the epidemic situation indicated by the acquired epidemic information.
  8. 　さらに、前記施設内の人の数を示す人数情報を取得する第三取得部を備え、
    　前記判定部は、
    　取得された前記空気質情報が示す値と、閾値とを比較することにより前記感染リスクを判定し、
    　取得された前記人数情報が示す人の数に応じて前記閾値を変更する
    　請求項１～６のいずれか１項に記載の感染リスク判定システム。     In addition, it is equipped with a third acquisition unit that acquires information on the number of people in the facility.
    The determination unit
    The infection risk is determined by comparing the acquired value indicated by the air quality information with the threshold value.
    The infection risk determination system according to any one of claims 1 to 6, wherein the threshold value is changed according to the number of people indicated by the acquired number of people information.
  9. 　前記判定部は、
    　取得された前記空気質情報が示す値と、互いに異なる１つ以上の第一閾値とを比較することにより前記施設内における第一感染リスクレベルを２段階以上に分けて判定し、
    　取得された前記流行情報が示す値と、互いに異なる１つ以上の第二閾値とを比較することにより前記周辺地域における第二感染リスクレベルを２段階以上に分けて判定し、
    　前記出力部は、前記感染リスク情報として、前記第一感染リスクレベルを示す軸、及び、前記第二感染リスクレベルを示す軸を２軸とするマトリクスを表示装置に表示するための情報を出力する
    　請求項１～８のいずれか１項に記載の感染リスク判定システム。     The determination unit
    By comparing the acquired value indicated by the air quality information with one or more first threshold values that are different from each other, the first infection risk level in the facility is determined by dividing it into two or more stages.
    By comparing the acquired value indicated by the epidemic information with one or more second threshold values that are different from each other, the second infection risk level in the surrounding area is determined by dividing it into two or more stages.
    As the infection risk information, the output unit outputs information for displaying on the display device a matrix having an axis indicating the first infection risk level and an axis indicating the second infection risk level as two axes. The infection risk determination system according to any one of claims 1 to 8.
  10. 　施設内の空気質情報を取得する第一取得ステップと、
    　前記施設の周辺地域における感染症の流行状況を示す流行情報を取得する第二取得ステップと、
    　取得された前記空気質情報、及び、取得された前記流行情報に基づいて、前記感染症に対する感染リスクの判定を行う判定ステップと、
    　前記判定の結果を示す感染リスク情報を出力する出力ステップとを含む
    　感染リスク判定方法。     The first acquisition step to acquire air quality information in the facility,
    The second acquisition step to acquire epidemic information indicating the epidemic situation of infectious diseases in the area around the facility, and
    A determination step for determining the infection risk for the infectious disease based on the acquired air quality information and the acquired epidemic information.
    An infection risk determination method including an output step for outputting infection risk information indicating the result of the determination.
  11. 　請求項１０に記載の感染リスク判定方法をコンピュータに実行させるためのプログラム。 A program for causing a computer to execute the infection risk determination method according to claim 10.
PCT/JP2021/033247 2020-09-28 2021-09-10 Infection risk assessment system and infection risk assessment method WO2022065066A1 (en)

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