JP5515837B2 - Impact analysis support device, method, and program - Google Patents

Description

  The present specification relates to an influence analysis support technique for performing support for analyzing influences on surroundings by an owner of a predetermined communication device.

  In recent years, the global pandemic of pandemic influenza is strongly concerned. One measure to prevent such a pandemic is to quickly perform contact tracing of infected persons. Contact tracing refers to the work of identifying other persons (approaches) who were close to the infected person. In order to identify such an approaching person, it is conceivable to monitor the surroundings of the infected person.

  As a monitoring technique, for example, a signal from a positioning satellite such as a GPS (Global Positioning System) satellite is received, and whether the reception point position is successfully detected is determined on the condition that the signal is successfully captured. There is technology. This makes it possible to determine whether the management / monitoring target exists indoors or outdoors.

  There is also a technique for detecting other registrants around a registrant who has caused a specific action. For example, a mobile terminal of a registrant who conducts business in a store transmits a response request signal to other mobile terminals in the vicinity by short-range wireless communication. Another mobile terminal that has received this response request signal returns a response signal. The mobile terminal creates a list of other mobile terminals that have transmitted the response signal, and notifies the center device 1 of the list. The center device 1 distributes distribution information for each registrant on the notified list.

  In addition, there is a technology in which a mobile phone with a GPS function transmits telephone number information and position information to a main server at the time of voice call, voice call reception, mail reception, mail transmission, and Internet connection. Thereby, the mobile phone with a GPS function present within the position range of an arbitrary place name is monitored.

  In addition, there is a technology for specifying a certain area and setting a reference value of the congestion state, and suppressing the external output of the portable device in the certain area when the reference value is exceeded while monitoring the congestion state.

JP-A-9-297171 JP 2001-106068 A JP 2004-70425 A JP 2006-157502 A

  In the present embodiment, an influence analysis support apparatus, a method thereof, and a program thereof that support the analysis of the influence on the surroundings by the owner of a predetermined communication device are provided.

An influence analysis support apparatus that performs support for analyzing an influence on surroundings by an owner of a predetermined communication device includes a storage unit, a relative position determination unit, a ranking unit, and a creation unit.
The storage means identifies at least information for identifying the communication device and other communication devices detected by the communication function of the communication device from communication devices having a communication function for performing direct communication with each other within a predetermined range. Device information including other device information and date / time information is sequentially collected and stored as device history information.

The relative position determining means acquires from the storage means first first device information included in device history information for a reference device that is a predetermined communication device within a predetermined period. Then, the relative position determining means repeats the first second predetermined number of times the processing for acquiring the other device information that is part of the equipment history information about communication devices to match the other device information of the first from the storage means . Then, the relative position determining means determines a relative position indicating a relative position of each communication device with respect to the reference device according to the number of repetitions.

  The stay time calculating means calculates, for each communication device, a stay time that is the time that the communication device stays for each relative position and a total time of the stay time, using the date and time information of the device history information. . Then, the stay time calculating means acquires the stay time for each relative position of each communication device in which the total time is equal to or greater than a predetermined value.

The ranking means ranks each communication device according to the relative position and the stay time corresponding to the relative position.
The creation means creates information on the influence of factors belonging to the owner of the reference device on the owner of each communication device or the belongings of the owner based on the ranking result of the communication devices.

    According to the present embodiment, it is possible to provide support for analyzing the influence on the surroundings by the owner of a predetermined communication device.

It is a block diagram of a contact trace system. 2 shows a functional block diagram of the contact trace information processing apparatus 1. FIG. An example of a data structure of wireless address DB is shown. An example of a data structure of action and approach history DB3 is shown. It is a figure for demonstrating the period used as the object of a contact trace. It is a figure for demonstrating the concept of the category in a contact trace. An example of the data structure of inspection subject extraction conditions is shown. The entire processing flow of the contact trace information processing apparatus 1 is shown. An example of the detailed flow of approach environment determination processing (S3) is shown. An example of the category relation table 60 is shown. It is a figure for demonstrating the creation process of the category related table 60 in the process of S6. An example of the detailed flow of a category determination process (S6) is shown. An example of the approach time table 70 classified by category is shown. An example of the detailed flow (the 1) of approach time calculation processing (S8) is shown. An example of the detailed flow (the 2) of approach time calculation processing (S8) is shown. An example of the detailed flow (the 3) of approach time calculation processing (S8) is shown. An example of the detailed flow of ranking processing (S11) is shown. An example of the graph of approach distance-approach time is shown. 2 is a block diagram illustrating a hardware environment of the contact trace information processing apparatus 1. FIG.

  The main method of contact tracing is listening to infected people. However, it is conceivable that an approaching person cannot be washed out due to his memory difference or forgetting. In addition, in the case of a virus that infects air such as influenza, there is a possibility that there is no consciousness of approaching the person in the first place, and it is considered that the approaching person cannot be washed out. Thus, it is difficult to comprehensively identify the approaching person depending on the hearing from the infected person.

  Therefore, in the present embodiment, a mobile phone having a high possession rate is used for collecting contact trace information. And the device address of the radio | wireless apparatus which exists in a fixed range is detected using the short-distance communication function of a mobile telephone, and an approaching person is extracted. Then, in the near field communication range of the infected person's mobile phone, the extraction range of the approaching person is limited. By expanding the extraction range of approaching persons, the number of inspection subjects increases, and it is required to perform inspection efficiently. Therefore, the inspection target person is extracted and the inspection is ranked.

  Here, in the present embodiment, a function (hereinafter referred to as a near field communication function) for detecting a device address (hereinafter referred to as a wireless address) of a wireless device existing within a certain range is used by a near field communication method. Here, the short-range wireless communication method refers to a communication method represented by, for example, Bluetooth (registered trademark), Zigbee (registered trademark), and UWB (Ultra Wide Band) as a wireless function, and includes “no directivity” and “detection”. The range is characterized by “m” and “low output”.

  Since the short-range communication function is “low output”, it is assumed that large obstacles (such as building walls and vehicle bodies) do not pass through and there is no reflection or diffraction. In addition, the near field communication function is assumed to have uniform performance with no individual differences between devices.

  In the present embodiment, the range in which contact tracing is possible is that the infected person and the approaching person possess a mobile phone having a short-range communication function and a GPS (Global Positioning System) function.

  FIG. 1 is a configuration diagram of a contact trace system. The contact trace system includes, for example, a mobile phone related network 6, the Internet 9, and a medical related network 11 with the contact trace information processing apparatus 1 as a center.

  The contact trace information processing apparatus 1 performs information processing related to contact trace. A display device 4 and an input device 5 are connected to the contact trace information processing device 1. An operator inputs an extraction condition for contact trace into the contact trace information processing apparatus 1 using the input device 5. The result processed by the contact trace information processing device 1 is displayed on the display device 4.

  The contact trace information processing apparatus 1 has a wireless address database (hereinafter referred to as DB) 2 and an action / access history DB 3. The wireless address DB 2 is a DB that stores a mobile phone number and a wireless address that associates wireless address information during near field communication. The action / approach history DB 3 is a DB that stores a behaviour / approach history obtained by periodically collecting detection results of wireless addresses for each mobile phone. The wireless address DB 2 and the behaviour / access history DB 3 may be stored in a storage device built in the contact trace information processing device 1 or may be stored in an external storage device.

  The contact trace information processing apparatus 1 extracts information on the person to be inspected from the behaviour / access history DB 3 based on preset extraction conditions. Then, the contact trace information processing apparatus 1 ranks the extracted test subject in descending order of risk of infection. The result obtained by the contact trace information processing apparatus 1 is analyzed by the operator to determine the infection status. The operator corrects the extraction condition according to the infection status, and re-registers the corrected extraction condition in the contact trace information processing apparatus 1.

  Further, the contact trace information processing apparatus 1 collects predetermined information from each mobile phone 13 using the mobile phone related network 6 and registers the collected predetermined information in the action / access history DB 4.

  A mobile phone base station 7 is connected to the mobile phone related network 6 in order to collect information from the mobile phone 13 having a near field communication function and a GPS function. The mobile phone 13 can acquire GPS information from a GPS satellite. The mobile phones 13 can perform near field communication with each other. The mobile phone related network 6 is connected to a DB 8 necessary for mobile phone management, such as mobile phone contract information.

  Connected to the Internet 9 is an electronic map DB 10 for storing electronic map information used for narrowing down the access environment. A DB 12 that stores infection information is connected to the medical related network 11 in order to change the processing result.

  FIG. 2 shows a functional block diagram of the contact trace information processing apparatus 1. The contact trace information processing apparatus 1 includes an extraction condition acquisition unit 21, an approach environment determination unit 22, an approach distance determination unit 23, an approach time determination unit 24, a ranking unit 25, a contact trace result creation unit 26, and a storage unit 27. The storage unit 27 stores a wireless address DB 2, an action / approach history DB 3, an inspection subject extraction condition 50, a category related table 60, a work table 60 W, a category approach time table 70, and the like.

  The extraction condition acquisition unit 21 acquires an extraction condition (examination subject extraction condition 50) for extracting a person who approaches the infected person input by the operator via the input device 5. The extraction condition acquisition unit 21 stores the inspection subject extraction condition 50 in the storage unit 27.

The approach environment determination unit 22 extracts the action / approach history information of the infected person at the date or time set by the test subject extraction condition 50 or the date / time from the action / approach history DB 3.
The approach distance determination unit 23 extracts an inspection subject included in the radius (distance) set in the inspection subject extraction condition 50 from the behavior / access history DB 3 using the behavior / access history information.

  Here, the approach distance determination unit 23 uses the action / access history information to step-by-step inspect the inspection subjects included in the range set by the inspection subject extraction condition 50 from the behavior / access history DB 3. Extract to 60W. The approach distance determination unit 23 assigns a number (category No.) to the inspection subject extracted for each stage and classifies them. The approach distance determination unit 23 integrates the work tables 60W to create the category related table 60.

The approach time determination unit 24 extracts, from the category association table 60, a test subject who is close to the infected person for a time longer than the time when the infected subject set in the test subject extraction condition 50 is approached.
Here, the approach time determination unit 24 calculates the approach time of the person to be inspected with respect to the infected person for each category using the category association table 60, and further calculates the approach time calculated for each category for each person to be inspected. Aggregate and create a category-specific approach time table 70. The approach time determination unit 24 is the time when the approach time obtained by counting the approach times calculated for each category from the approach time table 70 for each category for each person to be inspected approaches the infected person set in the inspection person extraction condition 50 The inspection subject who is the above is extracted.

The ranking unit 25 uses the category-based approach time table 70 to rank test subjects based on the category number and the approach time.
The contact trace result creation unit 26 creates an approach distance-approach time graph as a contact trace result based on the ranking result. The created contact trace result is output to the display device 4.

  FIG. 3 shows an example of the data configuration of the radio address DB. The data configuration of the wireless address DB 2 includes, for example, data items of “mobile phone number” 31, “wireless address” 32, “name” 33, “gender” 34, and “date of birth” 35.

  The “mobile phone number” 31 stores the phone number of the mobile phone 13 owned by the user. The “wireless address” 32 stores a wireless address assigned to the near field communication function of the mobile phone 13. “Name” 33 stores the name of the owner of the mobile phone. “Gender” 34 stores the gender of the owner. The “birth date” 35 stores the date of birth of the owner.

  Next, the operation of the mobile phone 13 will be described. The mobile phone 13 detects the position information by the GPS function and the wireless address information of the mobile phone 13 around by the short-range communication function at regular intervals.

  Each mobile phone 13 creates a user action / approach including the detected information (date and time information, position information, surrounding wireless address information) and information for identifying itself (for example, a mobile phone number or a wireless address). . Each mobile phone 13 transmits the created user behavior information to the contact trace information processing device 1 via the mobile phone related network 6.

  The contact trace information processing apparatus 1 stores user behavior / approach information transmitted from each mobile phone 13 in the behaviour / access history DB 3 and creates a history for each mobile phone (hereinafter referred to as “behavior / access history”).

  FIG. 4 shows an example of the data structure of the action / approach history DB 3. The data structure of the behaviour / approach history DB 3 includes, for example, data items of “owner” 41, “detection date / time” 42, “position information” 43, and “detected wireless address” 44.

  The “owner” 41 stores identification information corresponding to the information identifying the owner of each mobile phone 13 that has been sent. Here, the identification information obtained by associating information specifying the information sent from the mobile phone 13 (for example, a mobile phone number or a radio address) with the radio address DB2 is stored.

  The “date and time of detection” 42 stores the date and time when position information is detected by the GPS function. “Position information” 43 stores position information detected by the GPS function. The “detected wireless address” 44 stores the wireless address of the surrounding mobile phone 13 that can communicate with the short-range communication function at the date and time stored in the “detected date and time” 42.

Next, a period to be contact traced will be described with reference to FIG.
FIG. 5 is a diagram for explaining a period to be contact traced. When an infectious disease that is subject to a pandemic is detected, an infected person is isolated and placed under the supervision of a health center. For this reason, the infected person is restricted (managed) from approaching another person. Therefore, the period subject to contact trace is the period until the infected person is isolated including the incubation period (hereinafter referred to as the non-isolation period).

  The case of Mr. A in FIG. 5 will be described. The period from infection to onset is called the incubation period. The period from onset to hospital visit has not been visited. In addition, Mr. A goes to the hospital for examination, and the infection is detected and isolated. In this case, it is referred to as the non-isolation period including the incubation period, non-visit period, and examination period. Similarly for Mr. B and Mr. C, the period until isolation from infection is called the non-isolation period.

Next, the degree of approach to an infected person will be described using the concept of category.
FIG. 6 is a diagram for explaining the concept of categories in the contact trace. For example, suppose that Mr. A is an infected person. An operator uses the input device 5 to input information for identifying an infected person (for example, a mobile phone number, a wireless address, etc.) and an unisolated period. Then, the contact trace information processing apparatus 1 extracts the behavior / access history information of the infected person in the non-isolation period from the behavior / access history DB 3 using the input information for identifying the infected person as a key.

  The contact trace information processing apparatus 1 acquires the wireless address stored in the “wireless address” 44 of the extracted action / access history information. The contact trace information processing apparatus 1 acquires information for identifying the owner of the mobile phone 13 corresponding to the acquired wireless address using the wireless address DB2. The owner of the acquired identification information is determined as a category 1 inspection subject.

  Next, the contact trace information processing apparatus 1 acquires a wireless address from the “detected wireless address” 44 of the behavior / approach history for the inspection subject of category 1. The contact trace information processing apparatus 1 determines the owner of the mobile phone 13 specified by the wireless address as the inspection subject of category 2.

In this way, by sequentially detecting the test subject belonging to the lower category of the test subject belonging to the higher category, it is possible to know how close the user is at the same time as the infected person. That is, since the communication distance according to the communication standard for short-range communication is known in advance, the distance (approach distance) between the target person belonging to the category and the infected person can be calculated from the following equation.
Approach distance = category no. × Communication distance according to near field communication standards

In addition, when the radius centered on the infected person is specified as an approach distance, the category to which the target person who is on the border within the range included in the radius centered on the infected person belongs to the infected category. Therefore, the infection category can be calculated from the following equation.
Infection category no. = Communication distance / communication distance according to short-range communication standards

  As described with reference to FIG. 6, contact tracing of an infected person can be performed. However, when there are a large number of contact trace subjects, it is difficult in terms of cost and time to inspect all the subjects. In addition, the inspection takes time, and in some cases it takes several days until the inspection result is obtained. In the meantime, the infection may spread.

  Therefore, in order to prevent the spread of infection, the contact trace information processing apparatus performs not only extraction of inspection targets but also ranking for efficient inspection. Hereinafter, the processing of the contact trace information processing apparatus 1 will be described in detail.

  First, the operator inputs the test subject extraction condition from the input device 5 for each infectious disease and registers it in the contact trace information processing device 1. The inspection subject extraction condition will be described with reference to FIG.

  FIG. 7 shows an example of the data structure of the inspection subject extraction condition. The inspection subject extraction condition 50 input from the input device 5 is stored in the storage unit 27 of the contact trace information processing device 1. The inspection subject extraction condition 50 includes, for example, “infected person” 51, “date of occurrence of first infected person” 52, “non-isolation period” 53, “approach environment” 54, “approach distance” 55, and “approach time” 56. Contains data items.

  In the “infected person” 51, for example, identification information for specifying the mobile phone of the infected person such as the mobile phone number or the user ID of the infected person is stored. “Date of occurrence of first infected person” 52 stores the date of occurrence of the first infected person. The reason why the “occurrence date of first infected person” 52 is used as an extraction condition is to exclude from the extraction period because there is no possibility of infection before that day. The “non-isolation period” 53 stores the non-isolation period of the infected person.

  The “approach environment” 54 stores any one of “subject only to narrow indoors”, “subject to wide indoors”, and “subject to outdoor”. The operator can use the input device 5 to select one of “applicable only to narrow indoors”, “targeted to wide indoors”, and “targeted to outdoor” as the access environment, and the selected condition Is stored in the “approach environment” 54.

  The approach distance refers to a radius centered on a person who is assumed to be infected (infected person). The “approach distance” 55 stores an approach distance as a threshold for narrowing down the person to be inspected by the approach distance. The approach time refers to an approach time with a person who is assumed to be infected (infected person). The “approach time” 56 stores an approach time as a threshold for narrowing down the person to be inspected by the approach time.

  For example, it is assumed that a person infected with a new influenza A (H1N1) type has occurred. At this time, it is assumed that the inspection subject extraction condition is input to the contact trace information processing apparatus 1 using the input device 5. As the inspection subject extraction condition 50, for example, “infected person: A” “occurrence date of first infected person: 2010/1/20” “non-isolation period: 10 days” “approaching environment: subject only to narrow indoors” “approach distance: 2 m "Enter the approach time: 5 hours". Then, the information shown in FIG. 7 is stored in the storage unit 27 of the contact trace information processing apparatus 1. In addition, the range of near field communication is set to a radius of 1 m.

Hereinafter, “A”, “B”, “C”, “D”, “E”, “F”, and “Z” are used as information for identifying the target person and the target person, and the inspection subject extraction condition 50 in FIG. 7 is used as a sample. Each drawing will be described.
FIG. 8 shows an overall processing flow of the contact trace information processing apparatus 1. First, the extraction information acquisition unit 21 reads the inspection subject extraction condition 50 registered in advance from the storage unit 27 (S1).

  The extracted information acquisition unit 21 uses the “infected person” 51, the “occurrence date of first infected person” 52, and the “non-isolation period” 53 in the read inspection subject extraction condition 50 to infect from the behavior / access history DB 4. The behavior / approach history information of the person who is not isolated is extracted (S2). Here, the behavior / approach history information of the infected person in the non-isolation period is represented by the behavior / approach history information H of the infected person in the non-isolation period. When the inspection subject extraction condition 50 is FIG. 7, records corresponding to “owner” 41 = A, “detection date / time” 42 = 2010/1/20 to 2010/1/30 are extracted from the behavior / approach history DB 4. To do.

  Next, the approach environment determination unit 22 determines the approach environment (“outdoor”, “wide indoor”, “narrow indoor”) of the infected person using the “position information” 43 of the behavior / approach history information H (S3). . Here, the approach environment determination process (S3) will be described in detail. As a method for determining that an infected person is indoors, it is possible to use an indoor version of IMES (indoor messaging system) which is a GPS. Even when IMES cannot be used, it can be determined that the user is indoors if radio waves from GPS satellites are not received. Below, the case where it is judged whether it is indoor using a GPS function is demonstrated.

In general, the risk of infection increases in the order of outdoor <wide indoor <small indoor. Therefore, the approaching environment (outdoor / wide indoor / narrow indoor) is determined by the following procedure.
The position is detected by the GPS function of the infected person's mobile phone, and the location of the infected person is confirmed. When performing position detection by GPS, if the infected person's mobile phone can receive radio waves from the GPS satellite 14, it can be determined that the infected person is outdoors. On the other hand, if the infected person's mobile phone cannot receive radio waves from the GPS satellite 14, it can be determined that the infected person is indoors.

  For example, there is a case of moving from a baseball field to a train. In this case, the baseball field and the inside of the train are remarkably different in size. Therefore, it is unreasonable to make the baseball field and the train the same environment. Therefore, the approach environment determination unit 22 traces the information immediately before the position information of the infected person cannot be detected and the position information of the person to be inspected on the electronic map by detecting the position of the GPS function, and finds the nearest building. Identify.

  Moreover, the approach environment determination part 22 calculates | requires the vertical and horizontal length of the building specified from the electronic map from a reduced scale. For example, when the length or width of the building is shorter than twice the “approach distance” 55 of the acquired inspection subject extraction condition 50, it is determined that the building is “narrow indoor”, and if it is long, it is “wide indoor”.

  In addition, if the identified building is a building whose main purpose is to ride a vehicle, such as a station or airport, and the next position detection result assumes that the infected person has used the vehicle, the approach environment determination unit 22 determines that the infected person has used the vehicle. In this case, the approach environment determination unit 22 determines that the room is “narrow indoor”.

  Here, when it is assumed that a vehicle is used, for example, the movement distance and the movement time are calculated from the position information of the action / access history information H between two points, and the movement speed is calculated from the movement distance and the movement time. In this case, the moving speed exceeds the speed of human power.

  FIG. 9 shows an example of a detailed flow of the approach environment determination process (S3). The approach environment determination unit 22 reads one record of the behavior / approach history information H in the non-isolation period of the infected person (S301). The approach environment determination unit 22 determines whether or not position information is stored in the “position information” 43 of the read action / approach history information H record (S302). When the position information is stored in the “position information” 43 (“Yes” in S302), the approach environment determination unit 22 determines that the approach environment of the infected person is “outdoor” (S310).

  When position information is not stored in the “position information” 43 (“No” in S302), the approach environment determination unit 22 performs the following process. That is, the approach environment determination unit 22 identifies the nearest building from the electronic map using the position information of the action / access history information H of the infected person immediately before the position information cannot be obtained by the GPS function (S303). Specifically, the approach environment determination unit 22 is a record of the detection date and time before the record of the action / approach history information H that is currently processed, and the record of the position information stored in the “position information” 43. Search for the record with the most recent detection date. The approach environment determination unit 22 specifies the position on the electronic map by using the “position information” 43 of the searched record, and specifies the position or the building closest to the position. At this time, the approach environment determination unit 22 acquires electronic map information near the position specified by the position information from the electronic map DB 10 via the Internet.

  The approach environment determination unit 22 determines whether or not the identified building is a building for riding on a vehicle (for example, a station, a bus center, an airport, a boat landing, etc.) from the building information registered in the electronic map information ( S304).

  When it is determined that the identified building is a building for riding a vehicle (“Yes” in S304), the approach environment determination unit 22 calculates the moving speed of the infected person, and whether the moving speed is equal to or higher than a threshold value. Then, it is determined whether or not the infected person gets on the vehicle (S305).

  The moving speed of the infected person is calculated as follows. The approach environment determination unit 22 is a record of the detection date and time after the record of the currently processed action / approach history information H, and the latest detection among the records whose position information is stored in the “position information” 43 Search for date and time records. The approach environment determination unit 22 calculates the distance between the two points from the “position information” 43 of the searched record and the position information searched in S303. The approaching environment determination unit 22 calculates the travel time from the “detection date / time” 42 of the position information of the two points. The approach environment determination unit 22 calculates a movement speed (= distance between two points / movement time) using the distance between two points and the movement time. When the moving speed is equal to or higher than the predetermined threshold (“Yes” in S305), the approach environment determination unit 22 determines that the approach environment of the infected person is “narrow indoor” (308).

  When the specified building is not a building for riding a vehicle (“No” in S304), or when the moving speed is smaller than a predetermined threshold (“No” in S305), the approach environment determining unit 22 The size of the identified building is measured (S306). Specifically, the approach environment determination unit 22 measures the vertical and horizontal lengths of the building based on the scale on the electronic map.

  The approach environment determination unit 22 determines whether the measured vertical or horizontal length is less than or equal to twice the “approach distance” 55 of the inspection subject extraction condition 50 (S307). When it is determined that the measured vertical or horizontal length is not more than twice the “approach distance” 55 (“Yes” in S307), the approach environment determination unit 22 sets the approach environment of the infected person to “narrow indoors”. ] (S308). When it is determined that the measured vertical or horizontal length is longer than twice the “approach distance” 55 (“No” in S307), the approach environment determination unit 22 sets the approach environment of the infected person to “a wide indoor area”. ] (S309).

The processes of S301 to S310 are repeated for the number of records included in the behavior / access history information H of the infected person in the non-isolation period (S311). Now, it returns to description of the flow of FIG.
Based on the determination result, the approach environment determination unit 22 extracts a record having a determination result that matches the “approach environment” 54 in the acquired inspection subject extraction condition 50 from the behavior / approach history information H. (S4). If there is an extracted record (“Yes” in S5), the next process is executed. When there is no record to be extracted (“No” in S5), since there is no inspection target, the approach environment determination unit 22 ends this flow.

  In the case of the inspection subject extraction condition 50 in FIG. 7, since the approach environment is “subject to narrow indoors only”, the position cannot be detected during the non-isolation period of A, and the vertical or horizontal length of the nearest building is If it is 4 m or less or the moving speed is greater than or equal to the threshold value, it is subject to contact trace processing.

  If the approach environment of the inspection subject extraction condition 50 is “subject to the outdoors”, contact tracing is performed regardless of the position detection result. In addition, when the approach environment of the inspection subject extraction condition 50 is “target only for a wide indoor area”, contact tracing is performed for a period during which position detection by the GPS function cannot be performed.

  If there is an extracted record as a result of the extraction in S4 (“Yes” in S5), the approach distance determination unit 23 determines the category of each person to be inspected for the infected person based on the extracted record. Furthermore, the approach distance determination unit 23 calculates the distance between the infected person and each test subject using the determined category (S6). Here, the approach distance determination unit 23 creates the category association table 60 shown in FIG. 10 through a process as shown in FIG. 11, for example. Then, the approach distance determination unit 23 stores the approach distance calculated using the category determined for each person to be inspected in the category association table 60. Here, FIG. 10 and FIG. 11 will be described.

  FIG. 10 shows an example of the category association table 60. The category association table 60 includes, for example, data items of “subordinate category subject” 61, “upper category subject” 62, “category” 63, and “detection date / time” 64.

  The “sub-category subject” 61 stores information for identifying the subject to be inspected. The “upper category target person” 62 stores information for identifying the target person who belongs to the upper category of the target person stored in the “lower category target person” 61. The “category” 63 includes the category number of the subject stored in the “subject category subject” 61. Is stored. “Detection date / time” 64 stores the “detection date / time” 42 of the behavior / approach history information.

  FIG. 11 is a diagram for explaining a process of creating the category association table 60 in the process of S6. The table on the left side of FIG. 11 is obtained by simplifying the behavior / access history information of the infected person and each subject to be inspected. In the table on the left side of FIG. 11, “detected wireless address” 44 is rewritten to “target person corresponding to detected wireless address” 44-1 by associating with wireless address table 2.

  The tables 60W-1 to 60W-7 on the right side of FIG. 11 are work tables for creating the category association table 60. The work tables 60W-1 to 60W-7 are such that the “owner” 41 in the left table and the “subject corresponding to the detected wireless address” 44-1 have a one-to-one relationship. .

  The “subject” 41, “subject corresponding to the detected wireless address” 44-1 and “detection date / time” 42 in the left table are “subordinate subject” in the work tables 60W-1 to 60W-7, respectively. ”61,“ subject person in upper category ”62, and“ detection date ”64. “Category” 63 stores the category of “subordinate category subject” 62.

  First, extraction of the inspection subject of category 1 in FIG. Since B, C, and E are stored in the “target person corresponding to the detected wireless address” 44-1 of the action / access history information of the infected person A, these categories are determined to be “1”. A work table 60W-1 is created.

  Next, extraction of the inspection subject of category 2 in FIGS. 11 (2) to (4) will be described. 11 (2) to 11 (4) perform the process described in FIG. 11 (1) for “subject category target person” 62 in “detection date / time” 60-1 stored in the work table 60W-1. It is a thing.

  For example, in the case of FIG. 11 (2), A and D are stored in the “target person corresponding to the detected wireless address” 44-1 of the action / approach history information of B. "2" is determined, and the work table 60W-2 is created.

At this time, combinations with subjects in higher categories are excluded. In the example of FIG. 11 (2), since it is known from the work table 60W-1 that A is an upper category of B, the first record of the work table 60W-2 is excluded.
In this way, work tables 60W-2 to 60W-4 are created, and D and F are determined as category 2 inspection subjects.

  When the “approach distance” 55 = 2 (m) and the communication distance of short-distance communication = 1 (m) in the inspection subject extraction condition 50, the infection category is 2 (= 2/1). In this case, inspection subjects in categories 1 and 2 are extracted, and inspection subjects in category 3 and later are not extracted.

  By integrating the work tables 60W-1 to 60W-4, a category related table 60 shown in FIG. 10 is created.

FIG. 12 shows an example of a detailed flow of the category determination process (S6). FIG. 12 is a flow for the processing described in FIG.
First, the approach distance determination unit 23 initializes the categorical variable i with 1. Further, the approach distance determination unit 23 substitutes the value of {(“approach distance” 55 of the inspection subject extraction condition 50) / communication distance of near field communication} into the infection category N (S601). The short-range communication distance is a communication distance according to the communication standard of the short-range communication function of the mobile phone 13 and is set in advance. When the “approach distance” 55 = 2 (m) and the communication distance of short-distance communication = 1 (m) in the inspection subject extraction condition 50, the infection category N is 2 (= 2/1).

The approach distance determination unit 23 extracts the “detected wireless address” 44 included in the behavior / approach history H of the infected person in the non-isolation period (S602).
The approach distance determination unit 23 refers to the wireless address table 2 and acquires the identification information of the subject corresponding to the extracted “detected wireless address” 44. The approach distance determination unit 23 associates the acquired identification information of the subject as “subordinate category subject” 61 and the infected person as “upper category subject” 62, and stores them in the work table 60W. To do. At this time, the approach distance determination unit 23 determines the category of the subject stored in the “subject category subject” 61 as “1”, and sets “1” in the “category” 63 of the work table 60W (S603). ). Further, the approach distance determination unit 23 sets the “detection date / time” 42 of the action / approach history H to the “detection date / time” 64. Thereby, the work table 60W-1 of FIG. 11A is created.

  Next, the approach distance determination unit 23 determines whether or not the categorical variable i is smaller than the infection category N (S604). The approach distance determination unit 23 performs the following process while the categorical variable i <the infection category N (“Yes” in S604).

  The approach distance determination unit 23 extracts the action / approach history information of the inspection subject X1 of category i, and extracts the “detected wireless address” 44 included in the action / approach history information (S605). Specifically, the approach distance determination unit 23 refers to the wireless address table 2 and acquires the identification information of the subject X 2 corresponding to the extracted “detected wireless address” 44. Further, the approach distance determination unit 23 uses the combination of the “subject category subject” 61 and the “detection date / time” 64 of the work table 60W as a key from the behavior / access history DB 3 to the behavior / access history information of the subject X2. To extract.

  The approach distance determination unit 23 checks whether or not a higher category number is given in the work table 60W in which the acquired identification information of the subject X2 has already been created. When the higher category number is not given to the acquired identification information of the target person X2, the approach distance determination unit 23 associates the acquired identification information of the target person X2 with the identification information of the target person X1. And stored in the work table 60W. Specifically, the approach distance determination unit 23 associates the identification information of the subject X2 as “subordinate category subject” 61 and the identification information of the subject X1 as “upper category subject” 62, and sets the work table. Store at 60W.

  The approach distance determination unit 23 increments the categorical variable i (S606). Then, the approach distance determination unit 23 determines the category of the subject X2 as “i”, and sets “i” in the “category” 63 of the work table 60W (S607). Further, the approach distance determination unit 23 sets the “detection date / time” 42 of the action / approach history H to the “detection date / time” 64.

  When categorical variable i ≧ infection category N is satisfied (“No” in S604), the approach distance determination unit 23 integrates the created work table 60W to create the category related table 60 of FIG. 10 (S608). In the creation of the work table 60W and the category-related table 60, only a certain date and time are processed for easy explanation. This is performed for each detection date.

  Thus, when extraction is performed based on the approach distance, the category No. of the infection category is displayed. Higher No. Subjects belonging to this category can be excluded from the subject of examination. Now, it returns to description of FIG. 8 again.

In S7 of FIG. 8, when there is no record in the category association table 60, there is no inspection target (proceeding to “No” in S7), so the approach distance determination unit 23 ends this flow.
In S7 of FIG. 8, when there is a record in the category association table 60 (proceed to “Yes” in S7), the approach time determination unit 24 calculates the approach time of the person to be inspected with respect to the infected person (S8). Here, the approach time determination unit 24 creates a category approach time table 70 shown in FIG. 13 from the category association table 60. Here, the category approach time table 70 and the approach time calculation process (S8) will be described in detail.

  FIG. 13 shows an example of the approach time table 70 by category. The category approach time table 70 includes, for example, data items of “subject” 71, “approach time in category N” 72, and “total approach time” 73. The subject 71 stores information for identifying the subject to be inspected.

  The “approach time in category N” 72 stores the approach time in category N. Here, the number of data items included in the “approach time in category N” 72 changes according to the infection category.

  For example, when there are N types of infection categories, “approach time in category N” 72 is provided with “approach time in category 1”,... In the case of FIG. 13, since the type of infection category is 2, the “approach time in category N” 72 is provided with “approach time in category 1” 72-1 and “approach time in category 2” 72-2.

  The “total approach time” 73 stores a value obtained by adding the approach times of each category included in the “approach time in category N” 72, that is, the approach time in the infection category. In the case of FIG. 13, the value stored in “approach time in category 1” 72-1 and the value stored in “approach time in category 2” 72-2 are added to “total approach time” 73. Stores the value.

  14A to 14C show an example of a detailed flow of the approach time calculation process (S8). The approach time determination unit 24 initializes the categorical variable k with 1 (S801). Next, the approach distance determination unit 23 calculates the approach time of category 1 (S802). This process will be described with reference to FIG. 14B.

The approach distance determination unit 23 extracts the record of the subject belonging to category 1 from the category association table 60 (S802-1).
Then, the approach distance determination unit 23 calculates the approach time between the subject belonging to category 1 and the infected person. That is, the approach distance determination unit 23 adds up the “detection date / time” 64 of the extracted record of the subject and sets it as the approach time of category 1 (S802-2). Then, the approach distance determination unit 23 stores the approach time in “Category 1” 72-1 of the category approach time table 70 for each subject.

  The processing of S802-1 to S802-2 is performed for each target person belonging to category 1 included in the category association table 60 (“Yes” in S802-3). When the processing is completed for all the subjects belonging to category 1 included in category-related table 60 (“No” in S802-3), the process returns to the flow of FIG. 14A.

  The approach time determination unit 24 performs the following process while the category variable k <the infection category N (S803). The approach time determination unit 24 increments the categorical variable k (S804), and calculates the approach time of the category k (S805). This process will be described with reference to FIG. 14C.

  The approach time determination unit 24 extracts a record of the target person X of “category” 63 = “k” (“subject of lower category” 61) from the category association table 60 (S805-1).

  The approach time determination unit 24 extracts a record of “subject of upper category” 62 = subject Ya from the record of the subject X extracted in S805-1 (S805-2).

  The approach time determination unit 24 calculates the approach time between the target person X and the target person Ya of the upper category by counting the “detection date and time” 64 of the record extracted in S805-2, and calculates the approach time. The approach time T is set (S805-3). For example, in the case of k = 2, that is, in the case of category 2, if D is the subject person X in FIG. Therefore, records of “subordinate category subject” 61 = D and “upper category subject” 62 = B are extracted from the category related table 60, and “detection date / time” 64 is tabulated, whereby D and B Approach time is obtained.

  Next, the approach time determination unit 24 determines whether or not there is a subject person Yb in another higher category that has approached X outside the approach time of the subject person X and the subject person Y in the higher category that has already been processed ( S805-4). In the case of Yes in S805-4, the approach time determination unit 24 calculates an approach time Tb between X and Yb (S805-5), adds the approach time Tb to the approach time T (S805-6), and S805. Return to the process of 4. The reason that the condition that the approach time of X and Y is outside is provided is to prevent the same approach time from being added repeatedly. For example, in FIG. 9, when the target person X = D, there are B and C in the upper category target persons. Here, when the calculation of the approach time between D and B is completed when Ya = B, the target person Yb of another upper category approaching X other than the target person Y = B of the upper category already processed is C It is. In this case, the approach time of D and C is calculated outside the approach time of D and B.

  When the approach time calculation process for the subject person X extracted in S805-1 is completed (“No” in S805-4), the approach time determination unit 24 registers the approach time T in the category approach time table 70 ( S805-7). That is, the approach time determination unit 24 registers the approach time T in the category approach time table 70 as the approach time with the infected person in the category k for the subject X (S805-7).

The approach time determination unit 24 repeats the processing of S8055-1 to S805-7 for all the target persons X belonging to category k (S805-8).
Thereby, the approach time with the infected person for every category of a test subject can be calculated, and the approach time table 70 classified by category can be created.

  Returning to the description of FIG. The approach time determination unit 24 extracts, from the category approach time table 70, a record corresponding to “the approach person extraction condition 50“ approach time ”56 ≦ the approach time in the infection category (“ total approach time ”73”) ”. (S9). Thereby, based on the approach time set as the inspection subject extraction condition 50, it is possible to narrow down inspection subjects. If there is no record extracted in S9, there is no inspection target (proceeding to "No" in S10), so the approach time determination unit 24 ends this flow.

  If there is a record extracted in S9 (proceed to “Yes” in S10), the ranking unit 25 ranks the subject to be inspected using the extracted record group (S11). Specifically, the ranking unit 25 ranks the subject to be examined in order from the lowest category number and the longest approach time.

  In general, the closer to the infected person and the longer the approach time, the higher the risk of infection. Therefore, the ranking unit 25 determines the priority order of the person to be inspected based on the approach distance (category) and the approach time. Specifically, the ranking unit 25 has a category number. Ranking in ascending order, and inspecting subjects in descending order of approach time. Here, the ranking process (S11) will be described in detail with reference to FIG.

FIG. 15 shows an example of a detailed flow of the ranking process (S11). The ranking unit 25 reads one record from the category approach time table 70 (S1101). The ranking unit 25 acquires the approach time of the category with the lowest category number among the read records (S1102). In the case of FIG. 13, the approach time enclosed by a rectangular thick frame is acquired.
The processing of S1101 and S1102 is performed for all the records included in the category approach time table 70 (S1103).

  The ranking unit 25 displays the acquired category number. And its category No. Each subject is ranked using the approach time corresponding to. Category No. Are ranked in ascending order, and the subjects to be inspected are ranked in the order of longer approach time (S1104). Specifically, the ranking unit 25 first sets the category number. The test subjects are ranked in ascending order. Next, the ranking unit 25 ranks the person to be inspected in the order in which the approach time is long in each category that has been ranked.

  For example, the category of B, C, E is “1”, the category of D, F is “2”, and the category of Z is “3”. In the case where the inspection subject extraction condition 50 is FIG. 7, since the “approach distance” 55 = 2 (m) and the short-range communication range = 1 m, the infection category is “2”. Therefore, among B, C, D, E, F, and Z, B, C, and E of category 1 and D and F of category 2 are extracted.

  For BF, the approach time is calculated for each category, and further, the approach time in the infection category is calculated (creation of the approach time table 70 for each category). Since the “approach time” 56 = 5 (hours) of the inspection subject extraction condition 50, B, D, E, and F with an infection category approach time of 5 hours or more are extracted from the category approach time table 70. .

For each subject B, D, E, F, the lowest category No. among the approach times calculated for each category. The approach time of the category (the approach distance to A is short) is acquired.
Priorities are assigned in order of increasing distance to the infected person A and longest approach time. First, category no. Since the inspection subjects are ranked in ascending order, the priorities are B, E> D, F. Next, in each category that has been ranked, the subject is ranked in descending order of approach time. Therefore, from the approach time table for each category 70 in FIG. D> F. Therefore, the priority order is B>E>D> F.

When the processing of S1104 is completed, the process returns to the flow of FIG.
Next, the contact trace result creation unit 26 creates an approach distance-approach time graph as a contact trace result based on the priority order result of the person to be inspected obtained by the ranking unit 26 (S12). Here, each target person who has been ranked is plotted on a graph of approach distance-approach time and displayed on the display device 4. This process will be described with reference to FIG.

  FIG. 16 shows an example of an approach distance-approach time graph. The horizontal axis of the graph in FIG. 15 indicates the distance from the infected person, and the vertical axis indicates the approach time with the infected person. As described above, the ranking unit 25 obtains the lowest category No. from the approach time calculated for each category for each subject from the category approach time table 70. Get the approach time of a category with. Then, the ranking unit 25 ranks the person to be inspected according to the acquired category and approach time. The contact trace result creating unit 26 plots each subject on the approach distance-approach time graph according to the ranked category and the approach time.

  By the way, as time passes and the infection spreads, the infection record increases. As a result, an infection tendency may appear (for example, there are more women infected than men, and more elderly people than children). Further, the “approach environment”, “approach distance”, and “approach time” set as the inspection subject extraction condition 50 by the input device 5 may deviate from the actual situation.

  Therefore, infection result information is collected from a medical-related network in which a disease countermeasure organization or a medical institution participates, and the contact trace information processing device changes the extraction conditions and the order of examination targets in the following procedure.

The operator investigates whether or not there is an infection record other than the extraction target person under the current extraction conditions.
If there is a tendency of infection, information related to the tendency of infection may be collected from the contract record of the mobile phone or the like, and the inspection subject extraction condition 50 may be changed. As a result, those who are not subject to inspection near the borderline of the inspection subject extraction condition can be ranked as inspection subjects.

  For example, as time passes and the infection spreads, the infection record increases. As a result, for example, it is assumed that a tendency to easily infect women under 20 years of age can be seen. In this case, a woman under the age of 20 is searched from the contract information etc. of the mobile phone, and the searched person is added to the approach time by category with the infected person for one hour, and the inspection order is reset. By adding one hour, the corresponding person who was originally in the category to be inspected goes up in the inspection order. In addition, since the border line of the approach time is lower than before, the corresponding person near the border line can be the inspection subject. In this way, it is possible to perform extraction efficiently by weighting the approach time for a specific person.

When there is no tendency of infection, the inspection subject extraction condition 50 may be changed according to the infection record to rank the inspection subject. That is, no infection tendency is seen from the infection record, but when the infection is statistically lower than the initially set registered value, the condition can be corrected and the inspections can be ranked.
Thus, according to the infection situation, the infection record can be fed back to the inspection subject extraction condition.

  FIG. 17 is a configuration block diagram of a hardware environment of the contact trace information processing apparatus 1. The contact trace information processing apparatus 1 includes a central processing unit (CPU) 82, a read only memory (ROM) 83, a random access memory (RAM) 86, a communication interface (hereinafter referred to as I / F) 84, a storage device 87, Output I / F 81, input I / F 85, portable storage medium reading device 88, bus 89 to which all of them are connected, output device 90 connected to output I / F 81, and connection to input I / F 85 The input device 91 is configured.

  As the storage device 87, various types of storage devices such as a hard disk, a flash memory, and a magnetic disk can be used. Such a storage device 87 or ROM 83 stores the program of the flow described above. In addition, the storage device 87 stores a wireless address DB 2, an action / approach history DB 3, a category related table 60, an approach time table 70 by category, various work tables, an inspection subject extraction condition 50, and the like.

  CPU82 reads the said program stored in the memory | storage device 87 grade | etc., Based on this program, extraction condition acquisition part 21, approach environment judgment part 22, approach distance judgment part 23, approach time judgment part 24, ranking part 25, And functions as a contact trace result creation unit 26.

  The program of the flow described above may be stored in, for example, the storage device 87 via the network 92 and the communication I / F 84 from the program provider side. In addition, this program may be stored in a portable storage medium that is commercially available and distributed. In this case, the portable storage medium may be set in the reading device 88 and the program read by the CPU 82 and executed. As the portable storage medium, various types of storage media such as CD-ROM, flexible disk, optical disk, magneto-optical disk, and IC card can be used. A program stored in such a storage medium is read by the reading device 88. Read.

  As the input device 91, a keyboard, a mouse, an electronic camera, a microphone, a scanner, a sensor, a tablet, or the like can be used. The output device 90 can be a display, a printer, a speaker, or the like. The network 92 may be a communication network such as the Internet, a LAN, a WAN, a dedicated line, a wired line, and a wireless line.

  In the above embodiment, the action / approach information is collected from the mobile phone 13. However, if there is a communication function for directly communicating with each other within a predetermined range and a communication means for the contact trace information processing apparatus 1, a PDA ( It may be a communication device such as a portable terminal such as Personal Digital Assistant. In the above embodiment, the contact trace for infection has been described. However, the present invention is not limited to this as long as the influence range of a factor belonging to the owner of a certain communication device is analyzed. For example, it may be support for analyzing how the influence of a radio wave of a mobile phone possessed by a certain person affects the surrounding person or an electronic device owned by the surrounding person.

  According to the above-described embodiment, it is possible to comprehensively grasp whether or not the person is near the infected person without depending on each person's memory. Further, since the contact trace information is automatically collected by the mobile phone that the user has, no separate operation is required. Also, there is no collection omission of contact trace information. In addition, it is possible to efficiently extract the person to be inspected and rank the inspection based on the approach situation with the infected person.

  Therefore, the contact trace of the infected person, which is a measure for preventing a pandemic, can be performed using the short-range communication function of the mobile phone. In addition, by detecting the mobile phone using the short-range communication function in a chain, not only the vicinity of the infected person (single short-range communication range) but also the nearby people (more than a single short-range communication range) Can be exhaustively extracted.

  In addition, from the approaching person extracted by the contact trace of the infected person, it is possible to narrow down the approaching environment, the approaching distance, and the approaching time, thereby extracting the subject to be inspected. Furthermore, it is possible to rank inspections for the extracted inspection subject.

Furthermore, it is possible to change the ranking of examinations by correcting the infection tendency and the narrowing-down conditions from the infection results over time.
Thus, the influence analysis support apparatus can perform support for analyzing the influence on the surroundings by the owner of a predetermined communication device. The influence analysis support apparatus includes storage means, relative position determination means, stay time calculation means, ranking means, and creation means.

  The storage means includes at least information for identifying the communication device, and other communication devices detected by the communication function of the communication device, from a plurality of communication devices having a communication function for performing direct communication with each other within a predetermined range. Device information including other device information to be identified and date / time information is sequentially collected and stored as device history information. For example, in the above embodiment, the storage means corresponds to the action / approach history DB 3.

  The relative position determining means acquires from the storage means first first device information included in device history information for a reference device that is a predetermined communication device within a predetermined period. Then, the relative position determination unit repeats the process of obtaining the second other device information included in the first device history information for the communication device that matches the first other device information from the storage unit a predetermined number of times. . The relative position determining means determines a relative position indicating a relative position of each communication device with respect to the reference device according to the number of repetitions. For example, the relative position determination means corresponds to the approach distance determination unit 23 in the above embodiment.

  The stay time calculating means calculates, for each communication device, a stay time that is the time that the communication device stays for each relative position and a total time of the stay time, using the date and time information of the device history information. . The stay time calculation means acquires the stay time for each relative position of each communication device in which the total time is equal to or greater than a predetermined value. The stay time calculation means corresponds to the approach time determination unit 24 in the above embodiment, for example.

  The ranking means ranks each communication device according to the relative position and the stay time corresponding to the relative position. For example, the ranking means corresponds to the ranking unit 25 in the above embodiment.

  The creation means creates information on the influence of factors belonging to the owner of the reference device on the owner of each communication device or the belongings of the owner based on the ranking result of the communication devices. The creation means corresponds to, for example, the contact trace result creation unit 26 in the above embodiment.

  By configuring in this way, it is possible to support the analysis of the influence on the surroundings by the owner of a predetermined communication device. In addition, it is possible to comprehensively extract owners of other communication devices in the vicinity of a predetermined communication device owner (more than a single short-range communication range).

  The influence analysis support apparatus further includes an analysis range condition acquisition unit. The analysis range condition acquisition means acquires the period of the analysis as the analysis period, the radius length around the reference device as the analysis range, and the stay time in the analysis range as the analysis range stay time. The analysis range condition acquisition unit corresponds to the extraction condition acquisition unit 21 in the above embodiment, for example.

  In this case, the relative position determination unit acquires first other device information included in the device history information about the reference device in the analysis period from the storage unit. Then, the relative position determination unit acquires the second other device information included in the first device history information about the communication device that matches the first other device information from the storage unit. The relative position determination means repeats such processing for the number of times equal to a value obtained by dividing the analysis range by the communication distance of the short-range communication, and each time the repetitive processing is performed, A relative position indicating a relative position of the communication device is determined. At this time, the stay time calculation means acquires the stay time for each relative position of each communication device in which the total time is equal to or longer than the analysis range stay time.

By comprising in this way, the range used as analysis object can be adjusted with the conditions acquired by the analysis range condition acquisition means.
The ranking means obtains the stay time at the nearest relative position, which is the relative position closest to the position of the reference device, among the stay times for the relative positions of the communication devices. Then, the ranking means ranks the communication devices with respect to the reference device in the order in which the closest relative position is closer to the position of the reference device and the stay time at the closest relative position is longer.

With this configuration, the communication devices can be ranked in descending order of the influence of the reference device.
The influence analysis support apparatus further includes device environment determination means.
When the device history information of the reference device does not include the device position information that is the information indicating the position of the communication device, the device environment determination unit calculates the device environment information from the device history information of the reference device immediately before the device position information disappears. 1 device position information is acquired. Then, the device environment determination means determines the device environment that is the environment where the reference device exists at the position indicated by the device position information, using the map information. For example, the device environment determination unit corresponds to the approach environment determination unit 22 in the above embodiment.

By comprising in this way, the environment where a reference | standard apparatus exists can be determined.
In addition, when the device environment determination unit determines that the device environment is indoors of the building specified by the map information, the device environment is wide indoors according to the size of the building obtained from the map information. Can be determined.

By comprising in this way, it can be determined whether the environment with a reference | standard apparatus is wide indoors.
The present invention is not limited to the above-described embodiment, and various configurations or embodiments can be taken without departing from the gist of the present invention.

Regarding the above embodiment, the following additional notes are disclosed.
(Appendix 1)
An impact analysis support device for supporting the analysis of the impact on the surroundings by the owner of a predetermined communication device,
Other devices for identifying at least information for identifying the communication device and other communication devices detected by the communication function of the communication device from a plurality of communication devices having a communication function for directly communicating with each other within a predetermined range Storage means in which device information including information and date and time information is sequentially collected and stored as device history information;
The first other device information included in the device history information about the reference device that is a predetermined communication device within a predetermined period is acquired from the storage unit, and coincides with the first other device information from the storage unit. The process of acquiring the second other device information included in the first device history information for the communication device to be performed is repeated a predetermined number of times, and the relative position of each communication device with respect to the reference device is determined according to the number of repetitions. Relative position determining means for determining a relative position to be indicated;
Using the date and time information of the device history information, for each communication device, a stay time that is the time that the communication device stays for each relative position and a total time of the stay time are calculated, and the total time is predetermined. A stay time calculating means for acquiring the stay time for each relative position of each communication device that is equal to or greater than a value;
Ranking means for ranking each communication device according to the relative position and the stay time corresponding to the relative position;
Based on the ranking result of the communication device, creating means for creating information on the influence of the factor belonging to the owner of the reference device on the owner of each communication device or the possession of the owner;
An influence analysis support apparatus comprising:
(Appendix 2)
The influence analysis support device further includes:
An analysis range condition acquisition means for acquiring a period to be analyzed as an analysis period, a radius length centered on the reference device as an analysis range, and a stay time in the analysis range as an analysis range stay time;
The relative position determination unit obtains first other device information included in the device history information for the reference device in the analysis period from the storage unit, and the first other device information from the storage unit. The process of acquiring the second other device information included in the first device history information for the communication device that matches the value is less than the value obtained by dividing the analysis range by the communication distance of the short-range communication It repeats the number of times, and determines the relative position indicating the relative position of each communication device with respect to the reference device each time the repeated processing is performed,
The impact analysis support apparatus according to appendix 1, wherein the stay time calculation means acquires the stay time for each relative position of each communication device in which the total time is equal to or longer than the analysis range stay time.
(Appendix 3)
The ranking means obtains a stay time at a nearest relative position that is a relative position closest to a position of the reference device among stay times for each relative position of the communication devices, and the nearest relative position is the reference position. 3. The influence analysis support apparatus according to appendix 1 or 2, wherein the communication devices are ranked with respect to the reference device in the order closer to the position of the device and the staying time at the nearest relative position is longer.
(Appendix 4)
The influence analysis support device further includes:
If the device history information of the reference device does not include device position information that is information indicating the position of the communication device, the first device position information is obtained from the device history information of the reference device immediately before the device position information disappears. Any one of appendices 1 to 3, further comprising device environment determination means for determining device environment, which is an environment in which the reference device exists at the position indicated by the device position information, using the acquired map information The impact analysis support device according to claim 1.
(Appendix 5)
The device environment determination means includes
When the device environment is determined to be indoors of a building specified by the map information, the device environment is determined to be a large indoor space according to the size of the building obtained from the map information. 4. The influence analysis support device according to 4.
(Appendix 6)
The device environment determination means includes
When it is determined that the device environment is indoors of a building specified by the map information, and the map information determines that the building is a building for riding on a vehicle, the acquired first device position From the information and the second device position information of the device history information of the reference device having date and time information indicating the date and time after the date and time indicated by the date and time information corresponding to the first device position information, the moving speed of the device is determined. 6. The influence analysis support apparatus according to appendix 4 or 5, wherein the apparatus environment is calculated and it is determined that the device environment is a small indoor space when the moving speed is equal to or greater than a predetermined value.
(Appendix 7)
The device environment determination means includes
Any one of appendices 4 to 6, wherein when the device history information of the reference device includes device position information that is information indicating the position of the communication device, the device environment is determined to be outdoor. The impact analysis support apparatus according to item 1.
(Appendix 8)
An impact analysis support method for supporting an analysis of an impact on the surroundings by an owner of a predetermined communication device performed by an information processing device,
The information processing apparatus includes at least information for identifying the communication device and other communication detected by the communication function of the communication device from a plurality of communication devices having a communication function of performing direct communication with each other within a predetermined range. A storage device in which device information including other device information for identifying a device and date and time information is sequentially collected and stored as device history information;
The information processing apparatus includes:
The first other device information included in the device history information about the reference device that is a predetermined communication device within a predetermined period is acquired from the storage device, and coincides with the first other device information from the storage device. The process of acquiring the second other device information included in the first device history information for the communication device to be performed is repeated a predetermined number of times, and the relative position of each communication device with respect to the reference device is determined according to the number of repetitions. Determine the relative position to show,
Using the date and time information of the device history information, for each communication device, a stay time that is the time that the communication device stays for each relative position and a total time of the stay time are calculated, and the total time is predetermined. Obtain the stay time for each relative position of each communication device that is greater than or equal to the value,
In accordance with the relative position and the stay time corresponding to the relative position, the communication device is ranked with respect to the reference device,
Based on the ranking result of the communication device, information on the influence of the factor belonging to the owner of the reference device on the owner of each communication device or the property of the owner is created. Support method.
(Appendix 9)
The information processing apparatus further includes:
The period to be analyzed as an analysis period, the length of the radius centered on the reference device as an analysis range, and the stay time in the analysis range as an analysis range stay time,
In the determination of the relative position, the information processing apparatus acquires, from the storage device, first other device information included in device history information about the reference device in the analysis period, and from the storage device, The process of obtaining the second other device information included in the first device history information for the communication device that matches the first other device information is obtained by dividing the analysis range by the communication distance of the short-range communication. It repeats the number of times less than the obtained value, and determines the relative position indicating the relative position of each communication device with respect to the reference device every time the repetition processing is performed,
In the acquisition of the stay time, the information processing apparatus acquires the stay time for each relative position of each communication device in which the total time is equal to or longer than the analysis range stay time. Impact analysis support method.
(Appendix 10)
In the ranking, a stay time at a nearest relative position that is a relative position closest to the position of the reference device among the stay time for each relative position of each communication device is acquired, and the nearest relative position is the reference device. The impact analysis support method according to appendix 8 or 9, characterized in that the communication devices are ranked with respect to the reference device in the order closer to the position of and the longer stay time at the nearest relative position.
(Appendix 11)
The information processing apparatus further includes device history information of the reference device immediately before the device position information disappears when the device history information of the reference device does not include device position information that is information indicating the position of the communication device. The first device position information is obtained from the information, and the map information is used to determine the device environment in which the reference device exists at the position indicated by the device position information. The impact analysis support method according to any one of the above.
(Appendix 12)
In determining the device environment,
When the device environment is determined to be indoors of a building specified by the map information, the device environment is determined to be a large indoor space according to the size of the building obtained from the map information. 11. The impact analysis support method according to 11.
(Appendix 13)
In determining the device environment,
When it is determined that the device environment is indoors of a building specified by the map information, and the map information determines that the building is a building for riding on a vehicle, the acquired first device position From the information and the second device position information of the device history information of the reference device having date and time information indicating the date and time after the date and time indicated by the date and time information corresponding to the first device position information, the moving speed of the device is determined. The impact analysis support method according to appendix 11 or 12, wherein the device environment is calculated and determined that the device environment is a small indoor space when the moving speed is equal to or greater than a predetermined value.
(Appendix 14)
An impact analysis support program for causing a computer to execute an impact analysis support process for supporting an analysis of an impact on surroundings by an owner of a predetermined communication device,
Other devices for identifying at least information for identifying the communication device and other communication devices detected by the communication function of the communication device from a plurality of communication devices having a communication function for directly communicating with each other within a predetermined range From the storage device in which device information including information and date / time information is sequentially collected and stored as device history information, first information included in device history information for a reference device that is a predetermined communication device within a predetermined period. The process of acquiring other device information and repeatedly acquiring the second other device information included in the first device history information for the communication device that matches the first other device information from the storage device a predetermined number of times. A relative position determination process for determining a relative position indicating a relative position of each communication device with respect to the reference device according to the number of repetitions;
Using the date and time information of the device history information, for each communication device, a stay time that is the time that the communication device stays for each relative position and a total time of the stay time are calculated, and the total time is predetermined. A stay time calculation process for acquiring the stay time for each relative position of each communication device that is equal to or greater than a value;
A ranking process for ranking the communication devices according to the relative position and the stay time corresponding to the relative position;
Based on the ranking result of the communication device, a creation process for creating information on the influence of the factor belonging to the owner of the reference device on the owner of each communication device or the possession of the owner;
An impact analysis support program characterized in that a computer is executed.
(Appendix 15)
The impact analysis support program further includes:
An analysis range condition acquisition process for acquiring a period of the analysis target as an analysis period, a radius length centered on the reference device as an analysis range, and a stay time in the analysis range as an analysis range stay time in a computer Let it run
The relative position determination process acquires, from the storage device, first other device information included in device history information about the reference device in the analysis period, and also receives the first other device information from the storage device. The process of acquiring the second other device information included in the first device history information for the communication device that matches the value is less than the value obtained by dividing the analysis range by the communication distance of the short-range communication It repeats the number of times, and determines the relative position indicating the relative position of each communication device with respect to the reference device each time the repeated processing is performed,
The impact analysis support program according to appendix 14, wherein the stay time calculation process acquires the stay time for each relative position of each communication device in which the total time is equal to or longer than the analysis range stay time.
(Appendix 16)
The ranking processing obtains a stay time at a nearest relative position that is a relative position closest to the position of the reference device among stay times for the relative positions of the communication devices, and the nearest relative position is the reference position. The impact analysis support program according to appendix 14 or 15, wherein the communication devices are ranked with respect to the reference device in the order closer to the position of the device and the staying time at the nearest relative position is longer.
(Appendix 17)
The impact analysis support program further includes:
If the device history information of the reference device does not include device position information that is information indicating the position of the communication device, the first device position information is obtained from the device history information of the reference device immediately before the device position information disappears. Appendices 14 to 16 that cause the computer to execute a device environment determination process for determining the device environment that is the environment in which the reference device exists at the position indicated by the device position information by using the acquired map information. The impact analysis support program according to any one of the above.
(Appendix 18)
The device environment determination process includes:
When the device environment is determined to be indoors of a building specified by the map information, the device environment is determined to be a large indoor space according to the size of the building obtained from the map information. The impact analysis support program according to Item 17.
(Appendix 19)
The device environment determination process includes:
When it is determined that the device environment is indoors of a building specified by the map information, and the map information determines that the building is a building for riding on a vehicle, the acquired first device position From the information and the second device position information of the device history information of the reference device having date and time information indicating the date and time after the date and time indicated by the date and time information corresponding to the first device position information, the moving speed of the device is determined. The impact analysis support program according to appendix 17 or 18, wherein the impact analysis support program is calculated and when the moving speed is equal to or greater than a predetermined value, the device environment is determined to be a small indoor space.

1 Contact trace information processing device 2 Wireless address DB
3 Action / approach history DB
DESCRIPTION OF SYMBOLS 4 Display apparatus 5 Input device 21 Extraction condition acquisition part 22 Approach environment determination part 23 Approach distance determination part 24 Approach time determination part 25 Ranking part 26 Contact trace result creation part 27 Storage part 50 Inspection subject extraction condition 60 Category related table 60W Work table 70 Category approach time table

Claims (5)

An impact analysis support device for supporting the analysis of the impact on the surroundings by the owner of a predetermined communication device,
Other devices for identifying at least information for identifying the communication device and other communication devices detected by the communication function of the communication device from a plurality of communication devices having a communication function for directly communicating with each other within a predetermined range Storage means in which device information including information and date and time information is sequentially collected and stored as device history information;
The first other device information included in the device history information about the reference device that is a predetermined communication device within a predetermined period is acquired from the storage unit, and coincides with the first other device information from the storage unit. the process of acquiring the first second other device information that is part of the equipment history information about communication devices to repeatedly a predetermined number of times, the relative position of each of the communication devices with respect to the reference device in accordance with the number of repetitions Relative position determining means for determining a relative position to be indicated;
Using the date and time information of the device history information, for each communication device, a stay time that is the time that the communication device stays for each relative position and a total time of the stay time are calculated, and the total time is predetermined. A stay time calculating means for acquiring the stay time for each relative position of each communication device that is equal to or greater than a value;
Ranking means for ranking each communication device according to the relative position and the stay time corresponding to the relative position;
Based on the ranking result of the communication device, creating means for creating information on the influence of the factor belonging to the owner of the reference device on the owner of each communication device or the possession of the owner;
An influence analysis support apparatus comprising: The influence analysis support device further includes:
An analysis range condition acquisition means for acquiring a period to be analyzed as an analysis period, a radius length centered on the reference device as an analysis range, and a stay time in the analysis range as an analysis range stay time;
The relative position determination unit obtains first other device information included in the device history information for the reference device in the analysis period from the storage unit, and the first other device information from the storage unit. the first device the history information obtaining said second other device information included in the processing, one less number than the value obtained by dividing the analysis range at the communication distance of the near distance communication for communication devices that match Repeatedly, every time the repeated processing is performed, a relative position indicating a relative position of each communication device with respect to the reference device is determined,
The influence analysis support apparatus according to claim 1, wherein the stay time calculation unit acquires the stay time for each relative position of each communication device in which the total time is equal to or longer than the analysis range stay time. The influence analysis support device further includes:
If the device history information of the reference device does not include device position information that is information indicating the position of the communication device, the first device position information is obtained from the device history information of the reference device immediately before the device position information disappears. The apparatus environment determining means for determining an apparatus environment, which is an environment in which the reference apparatus exists at a position indicated by the apparatus position information, is acquired and using map information. Impact analysis support device. An impact analysis support method for supporting an analysis of an impact on the surroundings by an owner of a predetermined communication device performed by an information processing device,
The information processing apparatus includes at least information for identifying the communication device and other communication detected by the communication function of the communication device from a plurality of communication devices having a communication function of performing direct communication with each other within a predetermined range. A storage device in which device information including other device information for identifying a device and date and time information is sequentially collected and stored as device history information;
The information processing apparatus includes:
The first other device information included in the device history information about the reference device that is a predetermined communication device within a predetermined period is acquired from the storage device, and coincides with the first other device information from the storage device. the process of acquiring the first second other device information that is part of the equipment history information about communication devices to repeatedly a predetermined number of times, the relative position of each of the communication devices with respect to the reference device in accordance with the number of repetitions Determine the relative position to show,
Using the date and time information of the device history information, for each communication device, a stay time that is the time that the communication device stays for each relative position and a total time of the stay time are calculated, and the total time is predetermined. Obtain the stay time for each relative position of each communication device that is greater than or equal to the value,
In accordance with the relative position and the stay time corresponding to the relative position, the communication device is ranked with respect to the reference device,
Based on the ranking result of the communication device, information on the influence of the factor belonging to the owner of the reference device on the owner of each communication device or the property of the owner is created. Support method. An impact analysis support program for causing a computer to execute an impact analysis support process for supporting an analysis of an impact on surroundings by an owner of a predetermined communication device,
Other devices for identifying at least information for identifying the communication device and other communication devices detected by the communication function of the communication device from a plurality of communication devices having a communication function for directly communicating with each other within a predetermined range From the storage device in which device information including information and date / time information is sequentially collected and stored as device history information, first information included in device history information for a reference device that is a predetermined communication device within a predetermined period. It acquires the other device information, the storage device first obtains a second other device information that is part of the device history information processing for the communication device to match the other device information of the first predetermined number of times from A relative position determination process for determining a relative position indicating a relative position of each communication device with respect to the reference device according to the number of repetitions;
Using the date and time information of the device history information, for each communication device, a stay time that is the time that the communication device stays for each relative position and a total time of the stay time are calculated, and the total time is predetermined. A stay time calculation process for acquiring the stay time for each relative position of each communication device that is equal to or greater than a value;
A ranking process for ranking the communication devices according to the relative position and the stay time corresponding to the relative position;
Based on the ranking result of the communication device, a creation process for creating information on the influence of the factor belonging to the owner of the reference device on the owner of each communication device or the possession of the owner;
An impact analysis support program characterized in that a computer is executed.