WO2022065066A1 - Système d'évaluation de risque d'infection et procédé d'évaluation de risque d'infection - Google Patents

Système d'évaluation de risque d'infection et procédé d'évaluation de risque d'infection 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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English (en)
Japanese (ja)
Inventor
昌史 村上
和宏 谷口
学 神谷
智樹 高添
祐太朗 林
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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/fr

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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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  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Air Conditioning Control Device (AREA)

Abstract

L'invention concerne un système d'évaluation de risque d'infection (10) comprenant : une première unité d'acquisition (24) qui acquiert des informations concernant la qualité de l'air dans une installation (80) ; une seconde unité d'acquisition (25) qui acquiert des informations épidémiques indiquant la situation épidémique d'une maladie infectieuse dans une région environnante de l'installation (80) ; une unité d'évaluation (27) qui évalue un risque d'infection par la maladie infectieuse sur la base des informations de qualité de l'air acquises et des informations épidémiques acquises ; et une unité de sortie (28) qui produit des informations de risque d'infection indiquant le résultat d'évaluation.
PCT/JP2021/033247 2020-09-28 2021-09-10 Système d'évaluation de risque d'infection et procédé d'évaluation de risque d'infection WO2022065066A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022151710A (ja) * 2021-03-26 2022-10-07 旭化成エレクトロニクス株式会社 リスク情報提供装置、リスク情報提供システム、リスク情報提供方法およびリスク情報提供プログラム

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019185386A (ja) * 2018-04-10 2019-10-24 国立大学法人大阪大学 作業負担推定方法、体調評価方法、熱中症発症リスク評価方法、および、プログラム
CN110544014A (zh) * 2019-08-06 2019-12-06 中国航天标准化研究所 一种航天安全风险分级分类及深层次原因分析方法与模型
JP2020008969A (ja) * 2018-07-04 2020-01-16 パナソニックＩｐマネジメント株式会社 情報提供システム、情報提供サーバー、及び情報提供方法
WO2020144247A1 (fr) * 2019-01-09 2020-07-16 Koninklijke Philips N.V. Stratification du risque en fonction du risque d'infection et de l'exposition à la pollution de l'air

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019185386A (ja) * 2018-04-10 2019-10-24 国立大学法人大阪大学 作業負担推定方法、体調評価方法、熱中症発症リスク評価方法、および、プログラム
JP2020008969A (ja) * 2018-07-04 2020-01-16 パナソニックＩｐマネジメント株式会社 情報提供システム、情報提供サーバー、及び情報提供方法
WO2020144247A1 (fr) * 2019-01-09 2020-07-16 Koninklijke Philips N.V. Stratification du risque en fonction du risque d'infection et de l'exposition à la pollution de l'air
CN110544014A (zh) * 2019-08-06 2019-12-06 中国航天标准化研究所 一种航天安全风险分级分类及深层次原因分析方法与模型

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022151710A (ja) * 2021-03-26 2022-10-07 旭化成エレクトロニクス株式会社 リスク情報提供装置、リスク情報提供システム、リスク情報提供方法およびリスク情報提供プログラム
JP7480201B2 (ja) 2021-03-26 2024-05-09 旭化成エレクトロニクス株式会社 リスク情報提供装置、リスク情報提供システム、リスク情報提供方法およびリスク情報提供プログラム

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