JP2012018574A - Exposure amount estimation system and exposure amount estimation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enhance the accuracy of the exposure amount evaluation.SOLUTION: An exposure amount estimation system 1 includes an environment information storing part 23 with which position information and environment information showing the amount of an exposure object existing in the position are made correspond to each other and stored, an exposure rate storing part 24 with which activity information including at least one of movement means information showing movement means and area property information showing properties of the area and an exposure rate showing the rate of exposure to an exposure object are made correspond to each other and stored, a user information obtaining part 22 which obtains position information of user for whom the exposure amount is to be estimated and the activity information of the user, and an exposure amount estimating part 25 with which the environment information corresponding to the position information of the user is obtained, the exposure rate corresponding to the activity information of the user is obtained, and the exposure amount of the exposure object is calculated based on the obtained environment information and the exposure rate, and an exposure amount outputting part 26 with which the exposure amount calculated by the exposure amount estimating part 25 is calculated.

Description

  The present invention relates to an exposure amount estimation system and an exposure amount estimation method for estimating an exposure amount of an exposure target.

  An environment information providing system that acquires position information indicating the current position of a user and provides an actual measurement value of predetermined environment information at the position is known. The environmental information is information indicating the amount of chemical substances or physical stimuli that affect the human body such as pollen scattering amount, ultraviolet ray amount, aerosol amount. For example, in the information providing service described in Patent Document 1, when the base station collects pollen information from each relay station and stores it in a database, and receives a pollen information read request from the mobile terminal via the relay station, The pollen information is read out from the relay station that has received the request and the relay stations around it, and the pollen information is transmitted to the portable terminal.

JP 2001-044913 A

  In the environment information providing system according to the conventional technology, the environment information is estimated based on the position information indicating the current position of the user. Specific information for specifying the position of the user includes position information by GPS (Global Positioning System), position information indicating the position where the base station is installed, and the like. However, the amount of exposure, which is the amount of chemical substances and physical stimuli that affect the human body to which the user is exposed, varies depending on the situation of the user. For this reason, there is a problem that the method of estimating the environmental information based on the position information cannot estimate the exact exposure amount of the user.

  Therefore, the present invention has been made to solve such problems, and an object thereof is to provide an exposure amount estimation system and an exposure amount estimation method that improve the accuracy of exposure amount estimation.

  In order to solve the above problems, the exposure amount estimation system of the present invention includes an environment information storage unit that stores position information indicating a position and environment information indicating the amount of an exposure target existing at the position, and a moving unit. An exposure rate storage means for storing behavior information including at least one of area attribute information indicating an attribute of an area and an exposure rate indicating a rate of exposure to the exposure target, and an exposure amount User information acquisition means for acquiring position information of the user to be estimated and the user's behavior information, and the environment according to the user position information acquired by the user information acquisition means with reference to the environment information storage means Information is acquired, the exposure rate corresponding to the user behavior information acquired by the user information acquisition unit with reference to the exposure rate storage unit is acquired, and the acquired Exposure amount estimating means for calculating the exposure amount of the subject to be exposed based on border information and the exposure rate, and exposure amount output means for outputting the exposure amount calculated by the exposure amount estimation means. Features. Here, the exposure target means chemical substances and physical stimuli exposed to the user such as pollen, ultraviolet rays, and aerosols. The environmental information is information indicating the amount of the subject to be exposed, such as pollen scattering amount, ultraviolet ray amount, and aerosol amount.

  Further, the present invention relates to environmental information storage means for storing the positional information indicating the position and the environmental information indicating the amount of the exposure target existing at the position, the moving means information indicating the moving means, and the region attributes. An exposure rate estimation method in an exposure dose estimation system comprising: exposure rate storage means for storing behavior information including at least one of area attribute information to be displayed and an exposure rate indicating a rate of exposure to the exposure target in association with each other. The user information acquisition unit acquires the position information of the user whose exposure amount is to be estimated and the behavior information of the user, and the exposure amount estimation unit refers to the environment information storage unit and the user Acquire environmental information according to the user's position information acquired by the information acquisition step, and acquire by the user information acquisition step with reference to the exposure rate storage means An exposure amount estimating step of acquiring the exposure rate corresponding to the user behavior information and calculating the exposure amount of the exposure target based on the acquired environmental information and the exposure rate; and an exposure amount output means, And an exposure amount output step of outputting the exposure amount calculated by the exposure amount estimation means.

  According to the present invention, the exposure rate of the environment information corresponding to the user behavior information including at least one of the moving means information indicating the moving means of the user and the area attribute information indicating the attribute of the area where the user exists is considered. Thus, the exposure rate according to the actual state of the user can be estimated, and the accuracy of exposure amount estimation can be improved. That is, since the user's moving means and the attribute of the region where the user exists have a relatively large influence on the exposure, it is possible to improve the accuracy of exposure amount estimation by taking these into account.

  In the exposure amount estimation system of the present invention, the user information acquisition unit further acquires step number information indicating the number of steps of the user, and the user's action based on at least one of the user position information and step number information. It is preferable to acquire information.

  Further, in the exposure amount estimation system of the present invention, the user information acquisition means estimates the user's movement route based on the user's position information, and acquires the user's behavior information based on the movement route. Is preferred.

  The exposure amount estimation system of the present invention further includes area attribute storage means for storing the position information and area attribute information indicating the attribute of the region including the position indicated by the position information in association with each other, and the user information acquisition means Preferably, the user's action information including the area attribute information corresponding to the acquired location information of the user is acquired with reference to the area attribute storage means.

  ADVANTAGE OF THE INVENTION According to this invention, even when a user's action information cannot be acquired directly, a user's action information can be estimated based on a user's positional information etc., and exposure amount estimation can be implemented more reliably. .

  Further, in the exposure amount estimation system of the present invention, the exposure rate storage means stores exposure measure information indicating a preventive action against exposure and the exposure rate in association with each other, and the user information acquisition means stores the exposure amount. Further acquiring exposure countermeasure information of the estimation target user, the exposure amount estimation means refers to the exposure rate storage means, and the exposure corresponding to the user exposure countermeasure information acquired by the user information acquisition means Preferably, the rate is further acquired, and the exposure amount of the exposure target is calculated based on the acquired environmental information and the exposure rate.

  ADVANTAGE OF THE INVENTION According to this invention, an exposure rate can be estimated according to the condition of a user's exposure countermeasure, and the exposure amount of environmental information can be estimated more correctly.

  The exposure amount estimation system of the present invention further includes environmental information collecting means for acquiring environmental information at a plurality of positions, wherein the environmental information collecting means includes a plurality of position information indicating the plurality of positions and each position information. It is preferable that the corresponding environment information is supplied to the environment information storage means.

  In the environment information providing system according to the present invention, the exposure amount estimating means may acquire the environment information corresponding to a plurality of pieces of position information supplied to the environment information storing means by the user information acquiring means. It is preferable to calculate the environment information according to the position information of the user by performing a weighted average with the reciprocal of the distance from the position information.

  According to the present invention, even if environmental information at the current position of the user is not obtained, environmental information at the current position can be estimated from nearby environmental information, and exposure amount estimation can be performed more reliably.

  In the environment information providing system of the present invention, user action history storage means for storing the user position information and the user action information acquired by the user information acquisition means together with time information, and the user action history storage means User information prediction means for predicting future location information of the user and user behavior information based on the information stored in the information, and the exposure amount estimation means is predicted by the user information prediction means. Predicting the exposure amount of the exposure target based on the environmental information corresponding to the user's positional information and the exposure rate corresponding to the user behavior information predicted by the user information prediction means Is preferred.

  According to the present invention, it is possible to predict the future exposure amount of an exposure target, and it is possible for the user to take exposure prevention / prevention measures.

  Moreover, in the environmental information provision system of the present invention, it is preferable that the exposure amount output means converts the exposure amount into a predetermined index indicating the exposure amount and outputs it.

  According to the present invention, the user can grasp the exposure amount of the exposure target with an intuitively easy-to-understand index.

  ADVANTAGE OF THE INVENTION According to this invention, the exposure rate according to a user's actual state can be estimated, and the exposure amount estimation system and exposure amount estimation method which improve the precision of exposure amount estimation can be provided.

It is a figure which shows the function structure of the exposure amount estimation system 1 which concerns on 1st Embodiment of this invention. It is a figure which shows the hardware constitutions of the exposure amount estimation apparatus 2 which concerns on 1st Embodiment of this invention. It is a figure which shows an example of the information stored in the area attribute storage part 21 which concerns on 1st Embodiment of this invention. It is a figure which shows an example of the spatial range which concerns on 1st Embodiment of this invention. It is a figure which shows an example of the movement path | route which concerns on 1st Embodiment of this invention. It is a flowchart for demonstrating the process (movement means estimation method) performed with the exposure amount estimation apparatus 2 which concerns on 1st Embodiment of this invention. It is a figure which shows an example of the information stored in the environment information storage part 23 which concerns on 1st Embodiment of this invention. It is a figure which shows an example of the information stored in the exposure rate storage part 24 which concerns on 1st Embodiment of this invention. It is a figure which shows the hardware constitutions of the environment information collection apparatus 3 which concerns on 1st Embodiment of this invention. It is a figure which shows the hardware constitutions of the user information collection apparatus 4 which concerns on 1st Embodiment of this invention. It is a flowchart for demonstrating the process performed with the exposure amount estimation apparatus 2 which concerns on 1st Embodiment of this invention. It is a figure which shows the function structure of the exposure amount estimation system 1a which concerns on 2nd Embodiment of this invention. It is a figure which shows an example of the information stored in the user action history storage part 27 which concerns on 2nd Embodiment of this invention. It is a figure which shows an example of the information stored in the user action history storage part 27 which concerns on 2nd Embodiment of this invention. It is a flowchart for demonstrating the process performed with the exposure amount estimation apparatus 2a which concerns on 2nd Embodiment of this invention.

  Hereinafter, with reference to the drawings, preferred embodiments of an exposure amount estimation system and an exposure amount estimation method according to the present invention will be described in detail. In the description of the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted.

(First embodiment)
In FIG. 1, the exposure amount estimation system 1 of this embodiment is shown. The exposure amount estimation system 1 is a system that estimates a user's exposure amount. As shown in FIG. 1, the exposure amount estimation system 1 includes an exposure amount estimation device 2. The exposure amount estimation device 2 is a device that estimates a user's exposure amount based on information about the user and the like. The exposure amount estimation device 2 is, for example, a server.

  The exposure amount estimation system 1 further includes an environment information collection device 3 that can communicate with the exposure amount estimation device 2 via the network N, and a user information collection device 4 that can communicate with the exposure amount estimation device 2 and the network N. It may be configured to include. The environment information collection device 3 is a device that collects environment information at a plurality of positions within the user's action range and transmits the environment information to the exposure amount estimation device 2 via the network N. The environmental information collection device 3 is a device that includes a sensor that measures environmental information that is an amount of an exposure target such as pollen scattering amount, ultraviolet ray amount, aerosol amount, and the like. The user information collection device 4 collects position information indicating the position of the user, step number information indicating the number of steps of the user, exposure countermeasure information indicating the user's exposure measures, and the like, and transmits them to the exposure amount estimation device 2 via the network N. Device. The user information collection device 4 is also a device that receives and displays the exposure amount estimated from the exposure amount estimation device 2 via the network N. The user information collection device 4 is a small terminal that is always carried by a user, such as a mobile phone, a smartphone, a PDA (Personal Digital Assistants), and a notebook PC. The network N may be either wired or wireless, such as a mobile communication network, the Internet, a wired LAN, or a wireless LAN.

  FIG. 2 shows a hardware configuration of the exposure amount estimation apparatus 2. As shown in FIG. 2, the exposure estimation device 2 is physically composed of a CPU (Central Processing Unit) 201, a RAM (Random Access Memory) 202 and a ROM (Read Only Memory) 203, which are main storage devices, and a network card. These are configured by hardware such as a communication module 204 which is a data transmission / reception device such as an auxiliary storage device 205 such as a hard disk. Each function of the exposure amount estimation apparatus 2 to be described later operates the communication module 204 and the like under the control of the CPU 201 by reading predetermined computer software on the hardware such as the CPU 201 and the RAM 202 shown in FIG. This is realized by reading and writing data in the RAM 202 and the auxiliary storage device 205.

  Subsequently, the function of the exposure amount estimation apparatus 2 according to the first embodiment will be described. As shown in FIG. 1, the exposure amount estimation apparatus 2 includes an area attribute storage unit (area attribute storage unit) 21, a user information acquisition unit (user information acquisition unit) 22, and an environment information storage unit (environment information storage unit). 23, an exposure rate storage unit (exposure rate storage unit) 24, an exposure amount estimation unit (exposure amount estimation unit) 25, and an exposure amount output unit (exposure amount output unit) 26.

  The area attribute storage unit 21 functions as an area attribute storage unit that stores the position information and the area attribute information indicating the attribute of the region including the position indicated by the position information in association with each other. Data stored in the area attribute storage unit 21 is stored when the administrator of the exposure amount estimation apparatus 2 sets the area attribute storage unit 21 in advance.

  As illustrated in FIG. 3, the area attribute storage unit 21 stores “area spatial range” and “area attribute” in association with each other. Data stored in the “area spatial range” includes data representing one point, data representing two points (latitude / longitude), data representing three or more points, MAC addresses of wireless LAN access points, and the like. Any information may be used as long as it can define a spatial range such as a relative position label and mesh ID. When one point represented by one latitude / longitude is stored, the spatial range is a square having a predetermined length with one side centered on the one point, for example, the one point. The center is defined by a square whose one side is twice the positioning error. When two points represented by two latitudes and longitudes are stored, the spatial range is defined by a rectangle having the two points as diagonal lines. As shown in FIG. 4, when three or more positions (p1, p2, p3) are stored, the spatial range is a rectangle including two adjacent points (a rectangle including p1 and p2, a set of rectangles including p2 and p3).

  The data stored in the “area attribute” is information indicating the attribute of the area represented by the spatial range. The area attributes are, for example, facilities and states existing in an area represented by a spatial range such as “coast”, “ski resort”, and “indoor”.

  The user information acquisition unit 22 functions as a user information acquisition unit that acquires the position information of the exposure estimation target user and the behavior information of the user. The user information acquisition unit 22 includes position information indicating the position of the exposure estimation target user from the user information collection device 4 and step count information indicating the number of steps of the user, and a time indicating the time when the user information collection device 4 acquires each piece of information. Acquired at predetermined intervals together with information. Information indicating the positioning error may be included in the user position information. The user information acquisition unit 22 estimates the user's moving means by a method to be described later based on the position information of the exposure target user acquired from the user information collection device 4 and the number of steps information indicating the number of steps of the user. In addition, the user information acquisition unit 22 estimates the area where the user exists based on the position information of the exposure estimation target user acquired from the user information collection device 4, and displays area attribute information corresponding to the estimated area as the area. Obtained from the attribute storage unit 21. The area where the user exists is represented by, for example, a square whose center is the user's position information and whose one side is twice the positioning error. The user location information includes location information acquired by a GPS sensor included in the user information collection device 4, location information indicating the installation location of the base station in which the user information collection device 4 is currently located, and the user information collection device 4 Position information indicating the installation position of the access point of the wireless LAN currently performing direct communication, or a combination of these can be used. Note that the moving means information and area attribute information of the user may be acquired from the user information collection device 4.

  Furthermore, the user information acquisition unit 22 may estimate the movement route of the user based on the position information of the exposure target user acquired from the user information collection device 4. In estimating the user's movement route, the user information acquisition unit 22 first determines whether the user is moving or staying. The user information acquisition unit 22 estimates the area where each user exists based on the sequentially acquired position information of the user, and the first area and the second area estimated continuously overlap each other. There are common areas shared by the second area and the second area, and thereafter, the first to nth areas (n is the user information acquisition unit 22 in advance by the administrator of the exposure amount estimation apparatus 2) If there is a common area as described above, it is determined that the user is staying, and if not, it is determined that the user is moving.

Next, the user information acquisition unit 22 estimates a moving route on which the user is moving based on the estimated area (area where the user exists). For example, the moving route is a minimum rectangular MBR including two continuously estimated areas (hereinafter, a minimum rectangular area including a plurality of continuously estimated areas is referred to as “MBR”). presume. More specifically, referring to FIG. 5, position information (p ₁ , t ₁ ), (p ₂ , t ₂ ), (p ₃ , t ₃ ) are sequentially detected (where _pn is the latitude , Information including longitude and positioning error, and t _n is information indicating the measurement time.) When the areas E1, E2, and E3 are estimated based on each position information, the minimum including the areas E1 and E2 A combination of the rectangle MBR _1-2 and the minimum rectangle MBR _2-3 including the areas E2 and E3 is estimated as the movement route r1.

  The user information acquisition unit 22 may complement the user position information based on the estimated travel route. For example, when the acquisition interval of the user's position information is long, the position information between the successively acquired user's position information may be the position information included in the estimated movement route.

  Next, with reference to FIG. 6, a method in which the user information acquisition unit 22 estimates the moving means of the user based on the user position information and the user step count information will be described. Here, the moving means is a transportation means used when the user moves, for example, “train”, “car”, “bicycle”, “walking (walking)”, and the like.

The user information acquisition unit 22 first sets the initial state of the moving means of the user as “walking”. Then, the user information acquisition unit 22 determines that the distance between the area estimated based on the position information with the smallest positioning error among the areas determined to be the previous stay and the area where the user is estimated to be present is D _th meters or more. It is determined whether or not they are separated (S101). Here, D _th meter is the shortest distance at which it can be determined that the user has moved, and the value is preset in the user information acquisition unit 22 by the administrator of the exposure amount estimation device 2. When it is determined that the distance between the area estimated based on the position information with the smallest positioning error among the areas determined to be staying last time and the area estimated to be present by the user is smaller than D _th meter, The information acquisition unit 22 estimates that “staying” (S102).

User information is acquired when it is determined that the distance between the area estimated based on the position information with the smallest positioning error among the areas determined to be the previous stay and the area estimated to be present by the user is equal to or greater than _Dth meters. The unit 22 determines whether the moving speed of the user is V _th km / h or more for T _th1 minutes or more (S103). Here, V _th km / h is preferably higher than a general walking speed (for example, 3 to 4 km / h) and about a general bicycle speed (15 to 20 km / h). T _th1 minutes may be a time that allows the user to determine that the user is using the moving means, and may be a time corresponding to two to three times at which the user information collection device 4 acquires the user's position information. Both T _th1 and V _th are set in advance in the user information acquisition unit 22 by the administrator of the exposure amount estimation apparatus 2. Moreover, a user's moving speed is computable from the user's positional information acquired continuously. For example, the position information _{p 1} users acquired at time _{t 1,} using the position information _{p 2} users acquired at time _{t 2, p 1} the distance between the and _{p 2 (t} 2 -t ₁ ) To calculate the moving speed of the user.

If it is determined in step S103 that the user's moving speed is equal to or higher than V _th km / h for T _th1 minutes or more, the user information acquisition unit 22 determines that the number of steps represented by the step count information is equal to or greater than a predetermined value C _th . It is determined whether or not there is (S104). Here, C _th may be a value larger than the number of steps assumed when the user uses a train or a car (for example, about 50 steps), and the administrator of the exposure amount estimation apparatus 2 uses the user information acquisition unit. 22 is set in advance. If it is determined that the number of steps is equal to or greater than _Cth , the user information acquisition unit 22 estimates that “the bicycle is moving” (S105). When determining that the number of steps is smaller than _Cth , the user information acquisition unit 22 determines whether or not the distance between the area where the user is currently present and the route indicating the track is equal to or less than _Dth2 meters (S106). ). Here, D _th2 meters may be a distance that can be estimated that the user is moving on the route indicating the track, and is set in advance in the user information acquisition unit 22 by the administrator of the exposure amount estimation device 2. Yes. When it is determined that the distance from the route indicating the track is D _th2 meters or less, the user information acquisition unit 22 estimates that “the train is moving” (S107). On the other hand, if it is determined that the distance from the route indicating the track is greater than D _th2 meters, the user information acquisition unit 22 estimates that the vehicle is moving (S108).

If it is determined in step S103 that the user's moving speed is not equal to or greater than V _th km / h for T _th1 or more, whether or not the number of steps represented by the step count information is equal to or greater than a predetermined value C _th. Is determined (S109). If the number of steps is determined to be _{C th} or more, the user information acquiring unit _22, for more than _{T th2} minutes, the moving speed of the user to determine whether less than _{V th2 km / h (S110)} . V _th2 km / h is slower than V _th km / h and is a speed between a general walking speed (for example, 3-4 km / h) and a general bicycle speed (15-20 km / h). Preferably there is. T _th2 minutes may be a time that allows the user to determine that the user is using the moving means, similarly to T _th1 minutes, and may be about 1 to 2 minutes. T _th2 and V _th2 are both set in advance in the user information acquisition unit 22 by the administrator of the exposure amount estimation apparatus 2. When it is determined that the moving speed of the user is V _th2 km / h or less for T _th2 minutes or more, the user information acquisition unit 22 estimates that the user is “walking” (S111). On the other hand, when it is determined that the moving speed of the user is not V _th2 km / h or less for T _th2 minutes or more, the user information acquisition unit 22 estimates that “the bicycle is moving” (S112). If it is determined in step S109 that the number of steps is smaller than the predetermined value _Cth , it does not correspond to any moving means, and the user's moving means cannot be estimated. The moving means is estimated as the moving means of the user (S113). The above is the user movement means estimation process executed by the user information acquisition unit 22 of the exposure amount estimation apparatus 2 according to the first embodiment.

  The environment information storage unit 23 functions as an environment information storage unit that stores the position information indicating the position and the environment information indicating the amount of the exposure target existing at the position in association with each other. The environment information storage unit 23 stores environment information at a plurality of positions, for example, by storing information in a table shown in FIG. As illustrated in FIG. 7, the environment information storage unit 23 stores “measurement date and time”, “measurement location (measurement position)”, “exposure target type”, and “measurement value” in association with each other. The data stored in the “measurement date and time” is information that specifies the date and time when the environmental information was measured. The data stored in the “measurement location (measurement location)” is information for specifying the location and location where the environmental information is measured, for example, information such as latitude and longitude. The “exposure target type” is information for specifying the type of chemical substance or physical stimulus to be measured, and is, for example, “ultraviolet rays” or “pollen”. The data stored in the “measurement value” is information indicating the amount of the exposure target type that has been measured. The environment information storage unit 23 acquires each piece of information from the environment information collection device 3 at predetermined intervals.

  The exposure rate storage unit 24 functions as an exposure rate storage unit that stores behavior information including at least one of moving unit information indicating a moving unit and area attribute information indicating an attribute of a region and an exposure rate in association with each other. is there. The data stored in the exposure rate storage unit 24 is stored when the administrator of the exposure amount estimation device 2 sets the exposure rate storage unit 24 in advance. Here, the exposure rate indicates the rate at which the user is exposed to the exposure target in the amount (environmental information) where the exposure target exists. Since the outdoor exposure rate is 1, it can be said that the exposure rate indicates the ratio of the actual exposure amount to the outdoor exposure amount. As illustrated in FIG. 8A, the exposure rate storage unit 24 stores “movement means”, “exposure target type”, and “exposure rate” in association with each other. The data stored in the “moving means” is information including “walking” and “indoor” in addition to moving means such as “train”, “car”, and “bicycle”. The data stored in the “exposure target type” is information that specifies the type of chemical substance or physical stimulus to be observed. The data stored in the “exposure rate” is information indicating a ratio of exposure to an exposed subject with respect to an outdoor exposure amount.

  Further, as illustrated in FIG. 8B, the exposure rate storage unit 24 may store “area attribute”, “exposure target type”, and “reflectance” in association with each other. The data stored in “reflectance” is information indicating the ratio of secondary exposure to the exposure target with respect to the exposure amount outdoors. Therefore, the reflectance can be said to be a kind of exposure rate. For example, it is the rate at which the user is exposed as a result of reflection of ultraviolet rays at a building or snowy mountain. In the case of ultraviolet rays, the reflectance is high in snowy mountains, but in the case of pollen, the reflectance is low.

  Further, as illustrated in FIG. 8C, the exposure rate storage unit 24 may store “exposure countermeasures”, “exposure target types”, and “reduction rates” in association with each other. Data stored in “Exposure Countermeasures” is information that identifies preventive actions against exposure. For example, “Normal Mask” indicating that a normal mask is being worn, and high-performance mask are being worn. "High-performance mask" indicating that this product is being used, "Pollen drug" indicating that you are taking anti-pollen, and UV care products such as SPF (Sun Protection Factor) 50 sunscreen creams. SPF50 ”,“ UPF30 ”indicating that a UV care product of UPF (Ultraviolet Protection Factor) 30 is used. The data stored in the “reduction rate” is information indicating a rate of reducing the exposure rate by the exposure measure with respect to the exposure rate when the exposure measure is not taken. Therefore, it can be said that the reduction rate is a kind of exposure rate.

  The “exposure rate” and “reflectance” stored in the exposure rate storage unit 24 may be stored in association with the season and time zone so as to be variable depending on the season and time zone. In addition, with regard to the “reduction rate”, exposure measures have been started because some exposure measures, such as pollen and UV care products, reduce the effect of preventing exposure depending on the elapsed time from the start of use. It may be stored in association with the elapsed time from the time.

  The exposure amount estimation unit 25 refers to the environment information storage unit 23, acquires environmental information corresponding to the user's location information acquired by the user information acquisition unit 22, and refers to the exposure rate storage unit 24 to obtain user information. It functions as an exposure amount estimation unit that acquires the exposure rate corresponding to the user behavior information acquired by the acquisition unit 22 and calculates the exposure amount of the exposure target based on the acquired environmental information and the exposure rate. Here, the user behavior information includes at least one of user movement information and user area attribute information. The user's behavior information may further include user exposure countermeasure information.

The exposure amount estimation method in the exposure amount estimation unit 25 will be specifically described. Here, a case where the reflectance is associated with the area attribute information and stored in the exposure rate storage unit 24 and the reduction rate is associated with the exposure countermeasure information and stored will be described. . First, the exposure amount estimation unit 25 refers to the environment information storage unit 23 to acquire environment information corresponding to the user position information acquired or estimated by the user information acquisition unit 22. When the environment information corresponding to the user's position information is not stored in the environment information storage unit 23, the exposure amount estimation target time t for the N measurement locations in order from the position indicated by the user's position information p. The measurement value at the measurement time closest to is acquired from the environment information storage unit 23. Here, the value b indicating the exposure target type is set in the exposure amount estimation unit 25 in advance by the administrator of the exposure amount estimation apparatus 2, which is different for each exposure target. Further, the measurement location identification information n for identifying N measurement locations in the vicinity of the location indicated by the user location information p (N items in the order from the location indicated by p) is measured in the order from the location indicated by the user location information p. The measurement value at the measurement time closest to the estimation target time t of the exposure amount of the exposure target type b at the measurement location indicated by the measurement location identification information n and given to the measurement location from 1 to N is s (t, n B) (1 ≦ n ≦ N). Then, as shown in the following formula (1), the position indicated by the user position information p with respect to the measurement values s (t, n, b) of N measurement locations in the vicinity of the position indicated by the user position information p And exposure at the position indicated by the position information p of the user at the estimation target time t of the exposure amount by performing a weighted average by the reciprocal of the distance d (p, n) between the measurement location indicated by the measurement location identification information n The environmental information S (t, p, b) of the target type b is calculated.

Next, the exposure amount estimation unit 25 acquires the exposure rate α (b) of the exposure target type b corresponding to the user moving means acquired by the user information acquisition unit 22 with reference to the exposure rate storage unit 24. . When the user attribute acquisition unit 22 acquires user area attribute information, the exposure amount estimation unit 25 stores the exposure rate b (b) of the exposure target type b corresponding to the area attribute information. Obtained with reference to part 24. Further, when the user information acquisition unit 22 acquires user exposure countermeasure information, the exposure amount estimation unit 25 stores the reduction rate γ (b) of the exposure target type b corresponding to the exposure countermeasure information, and stores the exposure rate. Obtained with reference to part 24. Then, the environment information S (t, p) of the exposure target type b at the position indicated by the user position information p at the exposure target time t of the exposure amount obtained from the environment information storage unit 23 or calculated by the equation (1). B), the exposure rate α (b), the reflectance β (b), and the reduction rate γ (b) based on the following formula (2), the exposure target type at the target time t of the estimation target of the user's exposure amount The exposure amount e (t, b) of b is calculated.
User exposure e (t, b) = S (t, p, b) * {α (b) + β (b)} * γ (b)… (2)

  Note that α (b) = 1 is acquired when the user's moving means information is not acquired, and β (b) = 0 is acquired when the user's area attribute information is not acquired. If not, the calculation of Expression (2) is performed with γ (b) = 1.

  The exposure amount output unit 26 functions as an exposure amount output unit that outputs the exposure amount calculated by the exposure amount estimation unit 25. The exposure amount output unit 26 outputs the exposure amount to the user information collection device 4 or the auxiliary storage device 205 of the exposure amount estimation device 2, displays the exposure amount on the display unit 406 of the user information collection device 4, or records it in the auxiliary storage device 205. To do. Further, the exposure amount output unit 26 may convert the exposure amount into a generally used index and output it. As a generally used index, a UV index indicating the amount of ultraviolet rays is known. By using a commonly used index, the user can grasp the exposure amount of the exposure target with an intuitively easy-to-understand index.

For example, a method for converting the exposure amount of ultraviolet rays into a UV index will be specifically described. The UV index is calculated by the following equation, where e (mW / m ² ) is the estimated amount of ultraviolet light exposure.
UV index = e / 25 ... (3)
The exposure amount output unit 26 calculates the UV index by Expression (3), outputs the value to the auxiliary storage device 205 of the user information collection device 4 and the exposure amount estimation device 2, and displays the display unit 406 of the user information collection device 4. Or may be recorded in the auxiliary storage device 205.

  Furthermore, the exposure amount output unit 26 may classify according to the value of the UV index and output information indicating the name of the classification. For example, if the UV index is 1-2, it is "weak", if it is 3-5, it is "medium", if it is 6-7, it is "strong", if it is 8-10, it is "very strong", 11 or more If so, the exposure amount output unit 26 calculates the UV index according to Equation (3) and outputs information indicating the name of the classification to which the value belongs. If the UV index is 9, the exposure amount output unit 26 outputs information indicating “very strong” to the user information collection device 4 and causes the display unit 406 of the user information collection device 4 to display the information. In this way, by using a commonly used index such as a UV index, the user can intuitively grasp the exposure amount to be exposed.

  Next, the environmental information collection device 3 according to the first embodiment will be described. FIG. 9 shows a hardware configuration of the environment information collection device 3. As shown in FIG. 9, the environmental information collection device 3 physically includes a CPU 301, a RAM 302, a ROM 303, a communication module 304, a sensor that measures the amount of chemical substances and physical stimuli such as pollen and ultraviolet rays present in the surroundings. It is comprised by hardware, such as the measurement parts 305.

  Subsequently, functions of the environment information collection device 3 according to the first embodiment will be described. As shown in FIG. 1, the environment information collection device 3 includes an environment information collection unit 31 and an environment information transmission unit 32.

  The environmental information collection unit 31 functions as environmental information collection means for acquiring environmental information at a predetermined position. The environmental information collection unit 31 includes a sensor that measures environmental information that is an amount of an exposure target such as pollen scattering amount, ultraviolet ray amount, aerosol amount, and the measured environmental information is a sensor that identifies the sensor used for the measurement. The ID, the measurement date and time, and the measurement value are paired and transmitted to the environment information transmission unit 32. Note that the environment information collection unit 31 may further add a value indicating the reliability of the measurement value determined according to the sensor used for measurement, and transmit the value to the environment information transmission unit 32. The environmental information collecting unit 31 may transmit the environmental information to the environmental information transmitting unit 32 in real time, or may transmit the environmental information to the environmental information transmitting unit 32 at a preset time (for example, every 10 minutes). It may be. Since it is necessary to acquire environmental information at a position where the user may move, it is preferable that the environmental information collecting unit 31 is provided at a plurality of positions in the assumed user's action range. Alternatively, the environment information collection device 3 itself may be provided at a plurality of positions.

  The environment information transmission unit 32 functions as an environment information transmission unit that transmits the environment information acquired by the environment information collection unit 31 to the exposure amount estimation device 2 via the network N.

  Next, the user information collection device 4 according to the first embodiment will be described. FIG. 10 shows a hardware configuration of the user information collection device 4. As shown in FIG. 10, the user information collection device 4 physically includes a CPU 401, a RAM 402, a ROM 403, a communication module 404, a measurement unit 405 including a sensor and a pedometer for measuring the position of the user, a display such as a display, and the like. The unit 406 and the operation unit 407 are configured by hardware.

  Subsequently, functions of the user information collection device 4 according to the first embodiment will be described. As shown in FIG. 1, the user information collection device 4 includes a user information collection unit 41, a display unit 42, and a transmission / reception unit 43.

  The user information collecting unit 41 functions as a user information collecting unit that collects user information such as position information indicating a position where the user exists, step information indicating the number of steps of the user, exposure countermeasure information indicating a preventive action against exposure, and the like. is there. Specifically, the user information collection unit 41 acquires user position information using a sensor that measures a position, such as a GPS sensor, and acquires user step count information using a pedometer sensor. The user information collection unit 41 transmits the acquired user information to the transmission / reception unit 43 every preset period (for example, every minute). This transmission timing may be configured to be set by the user. Furthermore, the user information collection part 41 acquires the exposure countermeasure information input by the user. The method of inputting exposure countermeasure information may be performed by selecting from a list of exposure countermeasures, or may be performed by free input. You may make it recognize exposure countermeasure information by the character string matching of the character string input by free input. When acquiring the exposure countermeasure information, the user information collection unit 41 may immediately transmit the acquired user information to the transmission / reception unit 43. The user information collection unit 41 may transmit the position information of the user including information indicating the positioning error. The positioning error is calculated within a sensor such as a GPS sensor.

  The display unit 42 functions as a display unit that displays the exposure amount received from the exposure amount estimation device 2. When receiving the exposure amount converted into an index in which the exposure amount is generally used in the exposure amount estimation device 2 in advance, the display unit 42 displays the exposure amount based on the indicator and exposes the exposure amount in advance. When the exposure amount is not converted into a generally used index in the amount estimation device 2, the received exposure amount may be converted into a generally used index and output.

  The transmission / reception unit 43 transmits the user information acquired by the user information collection unit 41 to the exposure amount estimation device 2 via the network N, receives the exposure amount transmitted by the exposure amount estimation device 2, and displays it on the display unit 42. It functions as transmission / reception means for transmission.

  Then, the operation | movement of the exposure amount estimation system 1 which concerns on 1st Embodiment is demonstrated using the flowchart of FIG.

  The user information acquisition unit 22 acquires user position information and step count information transmitted from the user information collection device 4 at regular intervals (S201, user information acquisition step). Here, the exposure countermeasure information may be further acquired by the user information acquisition unit 22. Next, the user information acquisition unit 22 estimates the user's movement route and movement means based on the acquired position information and step count information (S202, user information acquisition step). Here, the user information acquisition unit 22 estimates the user's moving route and moving means each time the user's position information and step count information are acquired or whenever a certain amount of position information and step count information is accumulated. Do. Moreover, the user information acquisition part 22 may estimate the positional information between the positional information of two users acquired continuously as positional information which shows the position contained in the estimated movement path | route. The area attribute information may be acquired from the area attribute storage unit 21 by the user information acquisition unit 22 based on the acquired or estimated position information.

  Next, the exposure amount estimation unit 25 acquires environment information corresponding to the user's position information from the environment information storage unit 23 (S203, exposure amount estimation step). Here, when the environment information corresponding to the user's position information is not stored in the environment information storage unit 23, the environment information is calculated based on the above equation (1). Next, the exposure amount estimation unit 25 corresponds to the user movement means estimated by the user information acquisition unit 22, the exposure measure information acquired by the user information acquisition unit 22, and the area attribute acquired by the user information acquisition unit 22. Exposure rate (reflection rate, reduction rate) to be acquired from the exposure rate storage unit 24, and the exposure amount of the user is estimated based on the environmental information and the exposure rate (reflection rate, reduction rate) (S204, exposure amount) Estimation step). Finally, the exposure amount estimated by the exposure amount estimation unit 25 is output to the user information collection device 4 by the exposure amount output unit 26 and displayed on the display unit of the user information collection device 4 (S208, exposure amount output step). ). The above S203, S204, and S208 are preferably performed when an exposure amount estimation instruction is received from the user information collection device 4 or when exposure countermeasure information is received. Moreover, you may estimate the exposure amount in each time based on the user's positional information corresponding to several time, moving means information, etc., respectively. Further, the exposure amount at each time may be integrated (accumulated) within a certain range (for example, daily unit, movement route unit), and the integrated value of the exposure amount may be obtained.

  According to the said 1st Embodiment, the exposure amount estimation system 1 respond | corresponds to the user's action information containing at least 1 of the movement means information which shows a user's movement means, and the area attribute information which shows the attribute of the area | region where a user exists. By considering the exposure rate of the environmental information to be performed, the exposure rate according to the actual state of the user can be estimated, and the accuracy of exposure amount estimation can be improved. For example, when the user is moving by train, the exposure amount estimation accuracy can be improved by estimating the exposure amount of the user in consideration of the exposure rate in the train to the outdoors.

  According to the first embodiment, even when the user's behavior information cannot be directly acquired, the user's behavior information can be estimated based on the user's position information, step count information, and the like, and exposure amount estimation is more reliable. Can be implemented. For example, if the user's moving speed is faster than a predetermined value, the number of steps is less than a predetermined value, and the distance between the user's position and the route indicating the track is equal to or less than a predetermined value, the user is moving by train The exposure amount can be estimated, and the exposure amount can be estimated more reliably by considering the exposure rate according to the estimated moving means.

  According to the said 1st Embodiment, an exposure rate can be estimated according to the condition of a user's exposure countermeasure, and the exposure amount of environmental information can be estimated more correctly. For example, if the user uses a high-performance mask as a countermeasure against pollen, the exposure to the pollen may be reduced by using the mask. Therefore, the exposure amount of the user can be estimated more accurately.

  According to the first embodiment, even if environmental information at the current position of the user is not obtained, environmental information at the current position can be estimated from nearby environmental information, and exposure amount estimation can be more reliably performed. By performing a weighted average based on the reciprocal of the distance between the user's current position and each measurement place on the measurement values of N measurement places in the vicinity of the user's current position, environmental information at the user's current position The amount of exposure can be estimated, and exposure estimation can be performed more reliably.

(Second Embodiment)
As shown in FIG. 12, the exposure amount estimation device 2a according to the second embodiment includes an environment information storage unit (environment) in addition to the functional units 21, 22, and 24 included in the exposure amount estimation device 2 of the first embodiment. (Information storage means) 23a, exposure amount estimation unit (exposure amount estimation unit) 25a, user behavior history storage unit (user behavior history storage unit) 27, and user information prediction unit (user information prediction unit) 28. The

  In addition to the function of the environmental information storage unit 23 of the first embodiment, the environmental information storage unit 23a functions as an environmental information storage unit that acquires and stores predicted values of environmental information at a plurality of positions from an external server (not shown). Is. Here, the external server is a server that provides forecast values of environmental information such as pollen scattering amounts and ultraviolet ray amounts at a plurality of positions. The predicted value of the environmental information is an amount that is predicted to be exposed in the future such as pollen scattering amount and ultraviolet ray amount. The predicted values of the environmental information at a plurality of positions acquired from the external server are stored in the environmental information storage unit 23a in the same format as in FIG.

  The user action history storage unit 27 functions as a user action history storage unit that stores user position information and user action information acquired by the user information acquisition unit 22 together with time information. Each piece of information stored in the user action history storage unit 27 is stored in the user action history storage unit 27 every time it is acquired or estimated by the user information acquisition unit 22. Specifically, as shown in FIG. 13, the user action history storage unit 27 corresponds to “date and time”, “position”, “area attribute”, “movement means”, and “movement route ID”. Add and remember.

  The data stored in “date and time” is information for specifying the date and time. The data stored in the “position” is user position information acquired or estimated by the user information acquisition unit 22. The data stored in the “area attribute” is area attribute information acquired by the user information acquisition unit 22. The data stored in the “moving means” is the moving means information of the user estimated by the user information acquisition unit 22. The data stored in the “movement route ID” is information for identifying the movement route estimated by the user information acquisition unit.

  As shown in FIG. 14, the user action history storage unit 27 associates “travel route ID”, “departure area”, “arrival area”, “passage area”, and “passage count”. And remember. The data stored in the “movement route ID” is information for identifying the movement route estimated by the user information acquisition unit 22.

  The data stored in the “departure area” is information that can determine the spatial range of the departure area (the area including the start point (departure point) of the movement route) identified by the movement route ID. When the user information acquisition unit 22 determines that the user has moved from staying, the area determined to be staying is set as the departure area. The data stored in the “arrival area” is information that can determine the spatial range of the arrival area (area including the end point (arrival point) of the movement route) of the movement route identified by the movement route ID. When it is determined by the user information acquisition unit 22 that the user has stayed from moving, the area determined to be staying is set as the arrival area. The data stored in the “passing area” is information that can determine the spatial range of the area (excluding departure area and arrival area) that the user has passed while moving on the moving route identified by the moving route ID. is there. When it is determined by the user information acquisition unit 22 that the user is moving, the area estimated to have the user used for the determination is set as the passing area. The data stored in the “number of passes” is information indicating the number of times the user has moved on the travel route identified by the travel route ID. As will be described later, each time it is determined that the travel route estimated by the user information acquisition unit 22 corresponds to the travel route identified by the travel route ID, the number of passes is increased by one and updated. In addition, the time of passing through the area may be included in each area information of the departure area, the arrival area, and the passage area.

  The user information prediction unit 28 functions as a user information prediction unit that predicts the future location information of the user and the future behavior information of the user based on the information stored in the user behavior history storage unit 27. A method for predicting position information and behavior information in the user information prediction unit 28 will be specifically described. When the user information prediction unit 28 receives the user's current position information, movement means information, and movement route information from the user information acquisition unit 22, the user information prediction unit 28 refers to the user behavior history storage unit 27 and refers to the user's current movement route information. It is determined whether the area included in the travel route indicated by indicates a common area with the user's past travel route. When the area included in the travel route indicated by the user's current travel route information has a common area equal to or more than a preset ratio with the user's past travel route, the user information prediction unit 28 It is determined that the movement route corresponds to a past movement route. Further, the user information prediction unit 28 sets “passing area” and “arrival area” that do not have a common area with the current movement route among the areas included in the past movement route determined to correspond to the user action history storage unit. 27, and a route including those areas is set as a movement route after the current location of the current movement route. And the position contained in the movement path | route after the present location is estimated as a user's future position.

Note that the user information prediction unit 28 determines that the user is in the case where the distance between the position indicated by the user's current position information (or the area where the user currently exists) and the past movement route is D _th3 meters or less. It may be determined that the past movement route is moving. D _th3 is a value equivalent to D _th2 set in the user information acquisition unit 22, and is preset in the user information prediction unit 28 by the administrator of the exposure amount estimation device 2a.

  Further, the user information prediction unit 28 refers to the user action history storage unit 27, acquires the movement means information and area attribute information associated with the past movement route determined to correspond, and obtains the user's information after the current location. You may make it be moving means information and area attribute information. At that time, when there are a plurality of spatially overlapping movement routes, only the route having the highest number of times of passage in the same movement time zone as this time may be narrowed down, or only the movement routes having the same moving means may be narrowed down. But you can. Alternatively, a plurality of movement paths may be used as the prediction result. Further, the user information prediction unit 28 assumes that the exposure countermeasures indicated by the exposure countermeasure information acquired by the user information acquisition unit 22 will be continued in the future, and uses the exposure countermeasure information as the user's future exposure countermeasure information. You may do it.

  In addition to the function of the exposure amount estimation unit 25 of the first embodiment, the exposure amount estimation unit 25a further includes environment information corresponding to the user position information predicted by the user information prediction unit 28, and the user information prediction unit 28. It functions as an exposure amount estimation means for predicting the exposure amount of the exposure target based on the exposure rate corresponding to the predicted user behavior information. Here, the predicted user behavior information includes at least one of user moving means information and user area attribute information. The user's exposure countermeasure information may be further included in the predicted user behavior information.

  The exposure amount prediction method in the exposure amount estimation unit 25a will be specifically described. Here, a case where the reflectance is associated with the area attribute information and stored in the exposure rate storage unit 24 and the reduction rate is associated with the exposure countermeasure information and stored will be described. . First, the exposure amount estimation unit 25 a acquires the environment information corresponding to the user position information predicted by the user information prediction unit 28 with reference to the environment information storage unit 23. When the environment information corresponding to the user's position information is not stored in the environment information storage unit 23, it is calculated by the equation (1) as in the first embodiment. When predicting the exposure amount of the user, the environmental information s (t, n, b) at the measurement time closest to the time t of the exposure target type b at the measurement location indicated by the measurement location identification information n is the environment. It is assumed that a forecast value acquired from an external server is used instead of the actual measurement value acquired from the information collection device 3. Here, the time t is a time at which the user is predicted to arrive at the predicted position, and this time t can be predicted based on the predicted moving means. For example, if the predicted moving means is a bicycle, the user can predict the time at which the user arrives at the predicted position, assuming that the user moves at a moving speed of 15 km / h.

  Next, the exposure amount estimation unit 25 a obtains the exposure rate α (b) of the exposure target type b corresponding to the moving means of the user predicted by the user information prediction unit 28 with reference to the exposure rate storage unit 24. . In addition, when the user attribute prediction unit 28 predicts the user area attribute information, the exposure amount estimation unit 25a stores the exposure rate b (b) of the exposure target type b corresponding to the area attribute information. Obtained with reference to part 24. Furthermore, when the user exposure prediction information is predicted by the user information prediction unit 28, the exposure amount estimation unit 25a stores the reduction rate γ (b) of the exposure target type b corresponding to the exposure countermeasure information, and stores the exposure rate. Obtained with reference to part 24. And the environment information S (t, p, b) of the exposure target type b at the position indicated by the position information p at the time t obtained from the environment information storage unit 23 or calculated by the equation (1), and the exposure rate Based on α (b), reflectance β (b), and reduction rate γ (b), the exposure amount e (t, b) of the exposure target type b at the time t of the user is the same as in the first embodiment. Calculated according to equation (2). If the user's moving means information is not predicted, α (b) = 1, and if the user's area attribute information is not predicted, β (b) = 0, the user's exposure countermeasure information is predicted. If not, the calculation of Expression (2) is performed with γ (b) = 1.

  Then, the operation | movement of the exposure amount estimation system 1a which concerns on 2nd Embodiment is demonstrated using the flowchart of FIG.

  Since S301 to S304 are the same as the operations S201 to S204 of the exposure system 1 according to the first embodiment, the description thereof will be omitted, but the positional information acquired in S301 and the user's movement path estimated in S302. Information, transportation means information, and area attribute information are stored in the user action history storage unit 27. Next, the user information prediction unit 28 refers to the user behavior history storage unit 27 and predicts the user's movement route and movement means based on information associated with the movement route estimated by the user information acquisition unit 22. The position information is predicted based on the predicted movement route (S305). Next, the environment information corresponding to the user position information predicted by the user information prediction unit 28 is acquired from the environment information storage unit 23a by the exposure amount estimation unit 25a (S306). Here, when the environment information corresponding to the user's position information is not stored in the environment information storage unit 23a, the environment information is calculated based on the above equation (1). Next, the exposure rate estimation unit 25 a acquires the exposure rate (reflectance, reduction rate) corresponding to the user movement means, area attribute, and exposure countermeasure information predicted by the user information prediction unit 28 from the exposure rate storage unit 24. The exposure amount of the user is predicted based on the environmental information and the exposure rate (reflectance, reduction rate) (S307). Finally, the exposure amount output unit 26 outputs the exposure amount estimated by the exposure amount estimation unit 25a and the predicted exposure amount to the user information collection device 4 and displays them on the display unit of the user information collection device 4 ( S308, exposure amount output step). The steps S305 to S308 are preferably performed when an exposure amount prediction instruction is received from the user information collection device 4.

  Conventionally, the user's behavior history has been grasped based on a schedule registered for the user. However, the method using the scheduler may differ from the actual behavior due to unregistered or changed schedules. However, according to the exposure amount estimation system 1a of the second embodiment, it is possible to solve the above problem by predicting the user's moving route and moving means, and based on the predicted moving route and moving means. The amount of exposure of future exposure targets can be predicted, and the user can take measures to prevent and prevent exposure. For example, if it is predicted that the user is moving by train, the exposure amount prediction accuracy can be improved by predicting the exposure amount of the user in consideration of the exposure rate in the train to the outdoors. it can.

  According to the second embodiment, the situation of the user's exposure countermeasures can be predicted, the exposure rate can be estimated according to the predicted exposure countermeasures, and the exposure amount of the environmental information can be predicted more accurately. . For example, if a user is predicted to use a high-performance mask as a countermeasure against pollen, the exposure to the pollen may be reduced by using the mask. Since the prediction is performed, the exposure amount of the user can be predicted more accurately.

  According to the second embodiment, even if environmental information at a position where the user is predicted to exist in the future cannot be obtained, the environmental information at the position can be predicted from the predicted value of the nearby environmental information, and the exposure amount can be predicted. It can be implemented more reliably. By performing a weighted average based on the reciprocal of the distance between the position where the user is predicted to exist in the future and each location for the predicted values of N locations in the vicinity of the position where the user is predicted to exist in the future, It is possible to predict environmental information at a position where is predicted to exist in the future, and to more reliably carry out exposure amount prediction.

DESCRIPTION OF SYMBOLS 1, 1a ... Exposure amount estimation system 2, 2a ... Exposure amount estimation apparatus, 3 ... Environmental information collection device, 4 ... User information collection device, 21 ... Area attribute storage part, 22 ... User information acquisition part, 23, 23a ... Environmental information storage unit, 24 ... exposure rate storage unit, 25, 25a ... exposure amount estimation unit, 26 ... exposure amount output unit, 27 ... user behavior history storage unit, 28 ... user information prediction unit, 31 ... environment information collection unit, 32 ... Environmental information transmission unit, 41 ... User information collection unit, 42 ... Display unit, 43 ... Transmission / reception unit

Claims (10)

Environmental information storage means for storing the positional information indicating the position and the environmental information indicating the amount of the exposure target existing at the position in association with each other;
Exposure rate storage means for storing movement information indicating movement means, behavior information including at least one of area attribute information indicating an attribute of the region, and an exposure rate indicating a rate of exposure to the exposure target;
User information acquisition means for acquiring position information of the user whose exposure amount is to be estimated and behavior information of the user;
The environmental information according to the user position information acquired by the user information acquisition means with reference to the environmental information storage means is acquired, and acquired by the user information acquisition means with reference to the exposure rate storage means Exposure amount corresponding to the user's behavior information, exposure amount estimation means for calculating the exposure amount of the exposure target based on the acquired environmental information and the exposure rate,
Exposure amount output means for outputting the exposure amount calculated by the exposure amount estimation means;
An exposure estimation system comprising: The user information acquisition means includes
The exposure amount estimation according to claim 1, further comprising acquiring step count information indicating the number of steps of the user, and acquiring the user behavior information based on at least one of the position information and step count information of the user. system. The user information acquisition means includes
The exposure amount estimation system according to claim 2, wherein the user's movement route is estimated based on the user's position information, and the user's behavior information is acquired based on the movement route. Further comprising area attribute storage means for storing the position information and area attribute information indicating the attribute of the region including the position indicated by the position information in association with each other;
The user information acquisition means includes
4. The user behavior information including the area attribute information corresponding to the acquired location information of the user is acquired with reference to the area attribute storage unit. 5. The described exposure estimation system. The exposure rate storage means includes
Store exposure measure information indicating preventive action against exposure and the exposure rate in association with each other,
The user information acquisition means includes
Further acquiring exposure countermeasure information of the user whose exposure is estimated,
The exposure amount estimation means includes
Referring to the exposure rate storage means, further acquiring the exposure rate corresponding to the user exposure countermeasure information acquired by the user information acquisition means,
The exposure amount estimation system according to any one of claims 1 to 4, wherein the exposure amount of the exposure target is calculated based on the acquired environmental information and the exposure rate. It further comprises environmental information collecting means for acquiring environmental information at a plurality of positions,
The environment information collecting means supplies the environment information storage means with a plurality of position information indicating the plurality of positions and the environment information corresponding to each position information. The exposure amount estimation system according to item. The exposure amount estimation means includes
The position of the user is obtained by weighted averaging the environment information corresponding to the plurality of position information supplied to the environment information storage means by the reciprocal of the distance from the user position information acquired by the user information acquisition means. The exposure amount estimation system according to claim 6, wherein the environmental information corresponding to the information is calculated. User action history storage means for storing the user position information and the user action information acquired by the user information acquisition means together with time information;
Based on the information stored in the user behavior history storage means, user information prediction means for predicting future location information of the user and behavior information of the user;
Further comprising
The exposure amount estimation means includes
Based on the environmental information according to the position information of the user predicted by the user information prediction means and the exposure rate corresponding to the user behavior information predicted by the user information prediction means, the exposure target The exposure amount estimation system according to any one of claims 1 to 7, wherein the exposure amount is predicted. The exposure amount output means includes
The exposure amount estimation system according to any one of claims 1 to 8, wherein the exposure amount is converted into a predetermined index indicating the exposure amount and output. At least of environmental information storage means for storing the positional information indicating the position and the environmental information indicating the amount of the exposure target existing at the position, the moving means information indicating the moving means, and the area attribute information indicating the attribute of the region An exposure rate estimation method in an exposure rate estimation system comprising: exposure rate storage means that stores behavior information including one and an exposure rate indicating a rate of exposure to the exposure target in association with each other,
A user information acquisition step in which the user information acquisition means acquires the position information of the exposure target user and the behavior information of the user;
Exposure amount estimation means refers to the environment information storage means, acquires environmental information according to the user's position information acquired by the user information acquisition step, and refers to the exposure rate storage means, the user information An exposure amount estimation step of acquiring the exposure rate corresponding to the user behavior information acquired by the acquisition step, and calculating an exposure amount of the exposure target based on the acquired environment information and the exposure rate;
An exposure amount output step for the exposure amount output means to output the exposure amount calculated by the exposure amount estimation means;
An exposure amount estimation method comprising:

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