JP5914598B2 - Information providing server and program - Google Patents

Description

  The present invention relates to an information providing server and a program.

  In recent years, attention has been focused on environmental health effects such as dehydration due to temperature rise in summer and heat shock caused by experiencing severe temperature differences. Under such circumstances, for example, a home appliance control method considering heat shock is considered. Specifically, Patent Document 1 measures the temperature at various places in the house, determines the risk of heat shock based on the temperature difference of each part in the house, and if it is determined that there is a risk, The example of the housing system which adjusts the temperature of each part in a house is disclosed.

JP 2013-015300 A

  However, in the past, it has not been considered to estimate / notify the influence on the health of each individual in consideration of environmental conditions over a wide range of activities of the individual.

  The present invention has been made in view of the above circumstances, and provides an information providing server and program capable of estimating / notifying the influence on an individual's health based on environmental conditions in each place in consideration of activities for each individual. This is one of its purposes.

  The information providing server that solves the problems of the conventional example uses environmental information including past emergency transport records for each region and environmental information including information on the weather in the region at the time of emergency transport for each region. And a correlation information database that holds weather / disease correlation information obtained by analyzing the correlation between the patient and the patient's illness that has been transported urgently. Environmental information acquisition means for acquiring environmental information; accessing the correlation information database; acquiring the weather / disease correlation information; acquiring environmental information for each user; and the acquired weather / disease correlation information; And generating means for generating disease-related information to be provided to the user, and notification means for informing the corresponding user of the generated disease-related information.

  Here, the environmental information acquisition means may acquire environmental information relating to a region where the user is located, including weather information measured by the terminal, from a terminal owned by the user. Furthermore, the environmental information acquisition means may acquire environmental information relating to the region where the user is located from information provided by a weather information provider.

  Further, the environmental information acquisition means acquires environmental information relating to a region where the user is located, including weather information measured by the terminal, from a terminal owned by the user, and the user is located. The environmental information related to the area is acquired from the information provided by the weather information provider, and the generating means includes the environmental information acquired from the terminal and the information provided by the weather information provider. Disease-related information provided to the user may be generated based on the difference between the environmental information acquired from the information and the weather / disease correlation information acquired from the correlation information database.

  Furthermore, it is connected so as to be accessible to a sensitivity information database that holds sensitivity information related to environmental sensitivity for each user, the generation means acquires the sensitivity information of the user from the sensitivity information database, and the acquired sensitivity information It is good also as producing | generating the disease related information provided with respect to a user.

  The program according to an aspect of the present invention uses environmental information including past emergency transport records for each region and environmental information including information related to the weather in the region at the time of emergency transport for each region, and includes environmental information and emergency transport. Computers that are connected to access to a correlation information database that holds weather / disease correlation information obtained by analyzing correlations with illnesses of patients, for each user, the environment related to the region where the user is located Environment information acquisition means for acquiring information, accessing the correlation information database, acquiring the weather / disease correlation information, and acquiring the environmental information acquired for each user and the acquired weather / disease correlation information A function for generating disease-related information to be provided to the user, and a function for notifying the generated user of the generated disease-related information. Those were.

  According to the present invention, it is possible to estimate and report an influence on an individual's health based on an environmental condition in each place in consideration of an activity for each individual.

It is a block diagram showing the structure and example of a connection state of the information provision server which concerns on embodiment of this invention. It is explanatory drawing showing the example of the content of the database which the information provision server which concerns on embodiment of this invention accesses and uses. It is a functional block diagram showing the example of the information provision server which concerns on embodiment of this invention. It is explanatory drawing showing the example of management of the information of the user by the information provision server which concerns on embodiment of this invention. It is explanatory drawing showing the example of the content of the information which the information provision server which concerns on embodiment of this invention provides. It is explanatory drawing showing the example of the information showing the movement condition of the user which the information provision server which concerns on embodiment of this invention produces | generates.

  Embodiments of the present invention will be described with reference to the drawings. The information providing server 1 according to the embodiment of the present invention includes a control unit 11, a storage unit 12, and a communication unit 13, as illustrated in FIG. Further, the information providing server 1 is communicably connected to terminals 2a, 2b,... Carried by each user via communication means such as a network.

  Here, the control unit 11 is a CPU or the like, and operates according to a program stored in the storage unit 12. The information providing server 1 according to the present embodiment uses the past emergency transport record for each region and the environment information including the information related to the weather in the region at the time of emergency transport for each region. The correlation information database D1 holding weather / disease correlation information obtained by analyzing the correlation with the disease of the patient is accessed and connected. The correlation information database D1 may be stored in the storage unit 12.

  The control unit 11 acquires, for each preset user, environmental information related to the region where the user is located, accesses the correlation information database D1, acquires weather / disease correlation information, and obtains the weather / disease Based on the correlation information and the environmental information acquired for each user, a process for generating disease-related information to be provided to the user and notifying the corresponding user is performed. The specific processing contents of the control unit 11 will be described later.

  The storage unit 12 is a memory, a disk device, or the like, and holds a program executed by the control unit 11. The storage unit 12 also operates as a work memory for the control unit 11. In an example of the present embodiment, the storage unit 12 stores a correlation information database D1. The correlation information database D1 holds weather / disease correlation information obtained by analyzing the correlation between environmental information including weather information and the onset of the disease.

  Specifically, as illustrated in FIG. 2, the correlation information database D1 includes conditions (Ca1, Ca2..., Cb1, Cb2,...) Related to information elements included in the environmental information for each disease (Sa, Sb...). And at least one set (judgment item) of information representing the onset risk (Ra1, Ra2,..., Rb1, Rb2,...) When the conditions are satisfied as numerical values. In the correlation information database D1 illustrated in FIG. 2, each piece of environmental information is classified into predetermined categories for each type of environmental information, and disease risk points (or deduction points) (that is, correlation values) are classified for each category. Is stipulated.

  In an example of this embodiment, the temperature, which is an example of environmental information, is divided into “cold”, “slightly cold”, “normal temperature”, “slightly hot”, “hot”, “severe heat” The humidity is also divided into “dry”, “slightly dry”, “moderate”, “slightly high humidity”, and “high humidity”. When the temperature is “hot”, the risk associated with the disease “heatstroke” is added by “+10”, and when the humidity is “slightly humid”, the risk associated with the same disease “heatstroke” is “ It is shown that a score of “+30” is added (E).

  Specifically, this determination item can be set by mechanical learning by a computer. For this purpose, for example, past emergency transport for a plurality of predetermined periods A1, A2,..., Such as every period T1, T2,..., And Tokyo 23 wards, Tokyo urban area, Chiba City, Chiba, etc. Get a record. If this information can be obtained, it may be obtained from public records such as the Fire Department, or may be obtained from transport records at a local hospital. Moreover, the information regarding the weather in each said area A1, A2, ... for every same T1, T2, ... is acquired. For this information, for example, information provided by a weather information provider such as the Japan Meteorological Agency may be used, and different types of information may be used for each area. Then, the obtained weather information is classified into predetermined categories for each type, and the correlation value is corrected according to the incidence of disease for each category. Such processing is statistical processing or the like, and a widely known method can be used, and detailed description thereof is omitted here.

  Here, the correlation value for each category is determined. However, the setting method of the correlation information database D1 in the present embodiment is not limited to this, and if each environment information is digitized, the value for each value is determined. Various methods can be employed, such as determining the risk of developing a disease by a mathematical model.

  The communication unit 13 is a network card, for example, and transmits / receives information to / from the terminal 2 via the network. The communication unit 13 sends instructions and information to the terminal 2 in accordance with the instructions input from the control unit 11, and outputs information received from the terminal 2 to the control unit 11.

  The terminal 2 is a cellular terminal such as a smartphone, for example, and communicates with a base station BS that is relatively close to itself among base stations BS of a plurality of communication operators distributed in various places. The terminal 2 is connected to the network via the base station BS, and transmits / receives information to / from the information providing server 1 according to the present embodiment. In an example of the present embodiment, the terminal 2 includes a sensor that measures meteorological information such as temperature and pressure, and transmits the meteorological information measured by the sensor to the information providing server 1 via the network. May be provided. The terminal 2 may have a positioning function by GPS (Global Positioning System).

  Next, operation | movement of the control part 11 of the information provision server 1 which concerns on embodiment of this invention is demonstrated. As illustrated in FIG. 3A, the control unit 11 according to an example of the present embodiment functionally includes a user information management unit 41, an environment information acquisition unit 42, an information generation unit 43, and a notification. And a processing unit 44. Moreover, the information generation part 43 is comprised including the provision information generation process part 51, the database access part 52, and the disease related information generation part 53 in an example of this Embodiment.

  The user information management unit 41 manages registered user information. Specifically, as illustrated in FIG. 4, the user information management unit 41 associates information registered in advance with a user with information for identifying individual users, and stores the information in the storage unit 12. ing. Here, the information registered by the user includes at least the contact information (e-mail address or the like) of the user, and may include the residence (information such as an address) of the user.

  The environment information acquisition unit 42 acquires environment information according to an instruction input from the information generation unit 43. Specifically, the environment information acquisition unit 42 receives an acquisition instruction including information on the area and date / time from the information generation unit 43. The environmental information to be acquired includes weather information. Specifically, the environmental information acquisition unit 42 has a date and time designated by the information generation unit 43 from a website provided by a weather information provider such as the Japan Meteorological Agency. In addition, environmental information such as temperature, humidity, atmospheric pressure, and precipitation in the area is acquired and output to the information generation unit 43.

  Further, in an example of the present embodiment, the environment information acquisition unit 42 may acquire environment information of predetermined locations repeatedly by repeating each time a predetermined timing (for example, regular timing) arrives. . In this case, the environment information acquisition unit 42 associates information (date and time information) indicating the point in time when the environment information is acquired and the acquired environment information (including region information indicating which region is environmental information). It is stored in the storage unit 12. In this case, when the environment information acquisition unit 42 receives an acquisition instruction including the area and date information from the information generation unit 43, the environment information corresponding to the area and date specified by the received instruction is obtained. The environment information found from the storage unit 12 and found by the search is output to the information generation unit 43.

  The provision information generation processing unit 51 of the information generation unit 43 sequentially sets one piece of user information managed by the user information management unit 41 as attention user information. Then, the information on the location of the user identified by the noticed user information (hereinafter referred to as the noticed user) is acquired. The acquisition of the location information may be performed by, for example, acquiring location information measured by the positioning function from the user terminal 2. Further, the provision information generation processing unit 51 may acquire information on a user's residence registered in advance as user information as location information. Furthermore, if it is possible to receive provision of information managed by the telecommunications carrier, the provision information generation processing unit 51 obtains information identifying the area where the base station BS with which the terminal 2 is communicating is located from the telecommunications carrier. You may get it.

  The provided information generation processing unit 51 includes information on the current date and time (which can be obtained by a widely known method such as obtaining from a clock IC (not shown)) at the timing of the provided information generation process, and the user's previously obtained information. The location information (regional information) is output to the environment information acquisition unit 42 to instruct acquisition of the environment information. The provision information generation processing unit 51 outputs the environment information output by the environment information acquisition unit 42 to the database access unit 52 in response to the instruction.

  Here, the provision information generation processing timing may be set at a predetermined time or may be a time point when an instruction is given from the terminal 2. Moreover, the timing including both may be sufficient.

  The database access unit 52 is determined for each disease by referring to the weather / disease correlation information included in the correlation information database D1 stored in the storage unit 12 using the environment information input from the provided information generation processing unit 51 as a key. Among the determined conditions, a risk value for onset corresponding to the condition that the environmental information as a key is satisfied is obtained. Then, the obtained risk risk set for each disease is output to the disease-related information generation unit 53.

  The disease-related information generation unit 53 accumulates the risk of onset for each disease based on the information output from the database access unit 52, and calculates the cumulative onset risk for each disease. The disease-related information generation unit 53 generates disease-related information based on information specifying a disease whose cumulative onset risk value exceeds a predetermined threshold value, and outputs the disease-related information to the notification processing unit 44.

  The notification processing unit 44 transmits the disease related information generated by the disease related information generating unit 53 to the contact information of the user included in the attention user information set by the provided information generation processing unit 51.

  The information providing server 1 according to an example of the embodiment of the present invention has the above configuration and operates as follows. In an example of the present embodiment, the user registers information (email address and the like) of the terminal 2 used by the user in the information providing server 1 in advance. This registration may be performed by an administrator of the information providing server 1.

  Specifically, in an example of the present embodiment, it is assumed that the user U1 registers the mail address UM1 of the terminal 2 used by the user U1 in the information providing server 1 in association with the information U1 for identifying himself / herself. .

  The information providing server 1 manages the registered user information by storing it in the storage unit 12. The information providing server 1 sets the managed user information one by one as attention user information one by one. Then, information on the location of the noticeable user is acquired. Here, it is assumed that the information providing server 1 obtains information for specifying the area where the base station BS with which the terminal 2 is communicating is located from a communication carrier with permission from the user in advance. Here, for example, it is assumed that the information “Tokyo 23 wards” is obtained as regional information.

  The information providing server 1 uses the information on the current date and time when processing is performed and the information on the area where the user U1 is located in advance, using the website of the Japan Meteorological Agency (AMeDAS in Japan). The environmental information such as temperature, humidity, atmospheric pressure, and precipitation in the area and the area is acquired from the above information. Here, it is assumed that the current date and time is “August 1, 2014 16:00”, and environmental information in Tokyo 23 wards at that date is “atmospheric pressure (sea level correction): 1002.5 hPa, temperature: 32.1 degrees, dew point temperature: 23.4 degrees , Humidity: 60%, wind speed: 2.0, wind direction: north, sunshine duration: 0.8 hours, weather: clear, cloud cover: 5 ... "and so on.

  The information providing server 1 refers to the weather / disease correlation information included in the correlation information database D1 stored in the storage unit 12 using the obtained environment information as a key. The information providing server 1 obtains an onset risk value corresponding to a condition that satisfies environmental information as a key among conditions determined for each disease. Specifically, the information providing server 1 classifies each information element included in the obtained environment information into a predetermined category. For example, the temperature is classified as “hot”, the humidity is “moderate”, the wind is “weak”, the sunshine time is “slightly long”, and so on.

  The information providing server 1 obtains the onset risk “+10” because, for example, for the disease “heatstroke”, the key environmental information satisfies the condition that it is “hot”. Further, since the condition that the wind is “weak” is satisfied, the onset risk “+5” is obtained. On the other hand, for the disease “influenza”, the information providing server 1 obtains the risk of onset if the key environmental information satisfies the condition that it is “cold” or “dry”. Therefore, the information providing server 1 does not obtain the value of the onset risk for the disease “influenza” because the environmental information is “cold” or “dry”.

  The information providing server 1 accumulates risk values for each disease using information obtained by referring to the correlation information database D1. In the above example, the onset risk “+10” obtained for the disease “heatstroke” (a value obtained to satisfy the condition that the key environmental information is “hot”), and “+5”. (Value obtained to satisfy the condition that the key environmental information is that the wind is “weak”) and... Are accumulated, for example, to obtain “+25” as the cumulative onset risk value. Similarly, for the disease “influenza”, the obtained risk value for the onset is accumulated, but since the disease risk value for the disease “influenza” has not been obtained, the cumulative risk for the disease “influenza” is not obtained. The value is “0”.

  The information providing server 1 selects, as a notification target, one that exceeds a predetermined threshold value among the cumulative onset risk values for each disease thus obtained. Here, if the threshold value is set to “+20”, the information providing server 1 selects the disease “heatstroke” as a notification target. The information providing server 1 generates disease-related information including information on the selected disease to be notified. Here, an example of the disease-related information generated by the information providing server 1 includes a list (L) of names (“heat stroke”, etc.) of diseases targeted for notification, as illustrated in FIG. Also good. Further, as illustrated in FIG. 5, the information providing server 1 may include at least a part of the obtained environmental information, for example, temperature and weather information, in the disease related information (W).

  Further, in the list (L), display for each stage such as “caution” and “warning” may be performed in accordance with the magnitude of the cumulative onset risk value for each disease. For example, if the cumulative onset risk value is lower than “+40”, “caution” is set, otherwise “warning” is set.

  The information providing server 1 transmits the disease-related information generated in this way to the contact information (for example, mail address) of the user included in the noticed user information. The user then obtains disease-related information based on environmental information in the vicinity of the area where the user is located at the terminal 2.

[When using so-called apps]
The information providing server 1 sends an explicit instruction from the terminal 2 instead of or in addition to voluntarily providing information to the terminal 2 by e-mail, notification (Notification Service), or the like. You may receive it and provide information. In this example, application software for requesting the information providing server 1 to provide disease-related information is installed in the terminal 2.

  When the user operates the terminal 2 to activate the application software, the terminal 2 operates according to the program of the application software and identifies itself to the information providing server 1 (specific to the terminal 2). Information or information identifying the user, such as the user's e-mail address) and information on the location where the user is located, and requesting the provision of disease-related information (providing request) . Here, the position information of the terminal 2 may be latitude and longitude information obtained by using the function if the terminal 2 has a positioning function using GPS (Global Positioning System). . Further, the information on the position of the terminal 2 may be information (for example, information such as “within Tokyo 23 wards”) that is input from the user and specifies the area.

  As described above, in the information providing server 1 that explicitly receives a disease-related information provision request from the terminal 2, when the information generation unit 43 operates as the provision information generation processing unit 51, the terminal 2 responds to the explicit request. Get the location information of the user from The provided information generation processing unit 51 outputs the current date and time information and the user location information (regional information) transmitted from the terminal 2 to the environment information acquisition unit 42 to acquire the environment information. Instruct. Then, the provision information generation processing unit 51 outputs the environment information output by the environment information acquisition unit 42 to the database access unit 52 in response to the instruction.

  In this case, the notification processing unit 44 sends the disease-related information generated by the disease-related information generation unit 53 to the terminal 2 as a response to the received provision request. Specifically, the provision request sent by the terminal 2 may be an HTTP (HyperText Transfer Protocol) acquisition request. In this case, the terminal 2 may include information identifying itself and position information as parameters in the URL (Uniform Resource Locater) of the information providing server 1. In this case, the disease-related information may be described in HTML (Hyper Text Markup Language). The terminal 2 generates a display screen based on the received response (disease related information) and presents it to the user.

[Measurement of environmental information on the terminal]
Further, when the terminal 2 includes a sensor that measures weather information such as temperature and pressure, and has a function of transmitting the weather information measured by the sensor to the information providing server 1 via the network, The environmental information acquisition unit 42 of the information providing server 1 in the form acquires environmental information from a website provided by a weather information provider such as the Japan Meteorological Agency, and also from the terminal 2 environmental information relating to the region where the user is located May be acquired and output to the information generation unit 43.

  In the case of this example, the contents of the correlation information database D1 accessed by the information providing server 1 may also take into account environmental information obtained from the terminal 2. For example, in the correlation information database D1, at least a part of the conditions (Ca1, Ca2..., Cb1, Cb2,...) Related to the information elements included in the environmental information in the determination items for each disease (Sa, Sb...) It may be a condition based on environmental information obtained from the terminal 2. Moreover, the conditions may be based on both the environmental information obtained from the terminal 2 and the environmental information provided by the weather information provider.

  As an example, when the temperature information element is included in the environmental information obtained from the terminal 2, the correlation information database D1 provides the temperature information Tterminal obtained from the terminal 2 and weather information regarding the disease “heat shock”. When the absolute value of the difference from the temperature information Tpublic provided by the institution, ΔT = | Tpublic−Tterminal | (| * | means that the absolute value of *) exceeds a predetermined threshold value A setting for adding onset risk may be included.

  As another example, regarding the disease “heat stroke”, when the temperature information Tterminal obtained from the terminal 2 exceeds a predetermined threshold, the setting that the risk of onset is added is the correlation information database D1. May be included in the weather / disease correlation information.

  The provision information generation processing unit 51 of the information generation unit 43 obtains the current date and time and the location information (regional information) of the user of interest to instruct acquisition of the environment information, and in response to the instruction, the environment information acquisition unit 42 outputs the environmental information acquired from the weather information provider and the environmental information acquired from the terminal 2 to the database access unit 52.

  The database access unit 52 is determined for each disease by referring to the weather / disease correlation information included in the correlation information database D1 stored in the storage unit 12 using the environment information input from the provided information generation processing unit 51 as a key. Among the determined conditions, a risk value for onset corresponding to the condition that the environmental information as a key is satisfied is obtained. Then, the obtained risk risk set for each disease is output to the disease-related information generation unit 53.

  Here, the above conditions include those using environment information obtained from the terminal 2. In other words, the database access unit 52 obtains the value of the onset risk corresponding to the condition satisfied by the environmental information as a key among the conditions determined for each disease. For example, the database access unit 52 classifies each of the information elements included in the environmental information acquired from the weather information provider to a predetermined category. For example, the temperature is classified as “hot”, the humidity is “moderate”, the wind is “weak”, the sunshine time is “slightly long”, and so on.

  The database access unit 52 obtains the onset risk “+10” because, for example, the condition “heat stroke” for the disease satisfies the condition that the key environmental information is “hot”. Further, since the condition that the wind is “weak” is satisfied, the onset risk “+5” is obtained. If the temperature information included in the environmental information obtained from the terminal 2 represents that it exceeds “30 degrees”, for example, “+30” is obtained as an onset risk.

  The disease-related information generation unit 53 accumulates the risk value for each disease using information obtained by the database access unit 52 referring to the correlation information database D1. In the above example, the onset risk obtained for the disease “heatstroke” is accumulated to obtain, for example, “+55” as the cumulative onset risk value.

  The disease-related information generation unit 53 selects, as a notification target, a cumulative risk value for each disease obtained in this way that exceeds a predetermined threshold value. Then, the disease-related information generation unit 53 generates disease-related information including information on the selected notification target disease.

  According to this example, not only the outside temperature of the area where the user is located (environmental information provided by the weather information provider), but also the temperature actually experienced by the user (measured by the terminal 2 owned by the user) Environmental information) is used, for example, it is possible to provide information related to the risk of onset by a user in a cool indoor place during the summer.

[Consideration of travel route]
Further, in an example of the present embodiment, in the processing of the information providing server 1, the movement of the user in the middle and long distance (movement not only in the building or moving out of the building but also using a vehicle or the like) ) Is considered. Specifically, the control unit 11 of the information providing server 1 according to an example of the present embodiment functionally includes a user information management unit 41, an environment information acquisition unit 42, as illustrated in FIG. The information generation unit 43 ′ and the notification processing unit 44 are configured. Here, the information generation unit 43 ′ includes a provision information generation processing unit 55, a user tracking unit 56, a database access unit 57, and a disease related information generation unit 53. In addition, the same code | symbol is attached | subjected about what becomes the structure similar to what was already demonstrated.

  In this example, the control unit 11 is one of user information managed by the user information management unit 41 by the provision information generation processing unit 55 repeatedly as the operation of the information generation unit 43 ′ at a predetermined timing. Are set as attention user information sequentially. And the information of the location of the notice user identified by the notice user information concerned is acquired. Since this acquisition method is the same as the operation of the provision information generation processing unit 51, a detailed description thereof is omitted here. The provided information generation processing unit 55 outputs the acquired location information of the user to the user tracking unit 56.

  The provided information generation processing unit 55 also provides information on the current date and time (which can be obtained by a widely known method such as obtaining from a clock IC (not shown)) at the timing of the provided information generation process, and the use obtained earlier. The location information of the person (regional information) is output to the environment information acquisition unit 42 to instruct acquisition of the environment information. The provision information generation processing unit 55 outputs the environment information output by the environment information acquisition unit 42 to the database access unit 57 in response to the instruction. The provided information generation processing unit 55 instructs the user tracking unit 56 to output information related to the movement of the noted user.

  In the present embodiment, the environment information acquisition unit 42 acquires environment information according to an instruction input from the information generation unit 43 or the database access unit 57 described later. Specifically, the environmental information acquisition unit 42 accepts an instruction to acquire environmental information including the area and date / time information from the information generation unit 43 or the database access unit 57, and is a web provided by a weather information provider such as the Japan Meteorological Agency. Environmental information such as temperature, humidity, atmospheric pressure, and precipitation in the instructed date and time and region is acquired from the site or the like, and is output to the instructed information generation unit 43 or database access unit 57.

  The user tracking unit 56 obtains information on the location of each user (regional information) that the provided information generation processing unit 55 acquires and outputs at each predetermined timing, and obtains information for each user (that is, the terminal 2). As shown in FIG. 6, the location information P is associated with the date and time (which can be obtained in the same manner as the current date and time) τ when the location information is obtained. The person tracking information D2 is stored in the storage unit 12. The user tracking unit 56 generates information related to the movement status for each user from the information accumulated here.

  Specifically, the user tracking unit 56 generates a movement distance (information related to movement speed) per predetermined time for each user. That is, using the information accumulated in the storage unit 12 illustrated in FIG. 6, the most recently accumulated date and time τlast and the location information Plast, and the date and time τpast accumulated earlier (for example, one before) Using the position information Ppast, the distance between Ppast and Plast (if each is regional information, the distance between the centers of the region may be used) and the difference between each date and time Δτ = τlast− τpast is calculated. Then, the user tracking unit 56 obtains the movement distance L / Δτ per predetermined time.

  When the moving distance L / Δτ exceeds a predetermined threshold value, the user tracking unit 56 determines that the target user is moving in the middle / long distance, and the most recently accumulated location In association with the position information Plast, information indicating “long-distance movement” is included in the user tracking information D2 of the storage unit 12 and recorded as the movement status information S. Further, if the moving distance L / Δτ does not exceed a predetermined threshold value, the user tracking unit 56 determines that the target user has not moved the middle / long distance, and has accumulated the latest. In association with the location information Plast, information indicating “stay” as the movement status information S is included in the user tracking information D2 of the storage unit 12 and recorded.

  Note that the user tracking unit 56 determines whether or not to delete from the user tracking information D2 a record in which the accumulated date / time τpast is before the current date / time and exceeds a predetermined period. The user tracking unit 56 deletes the record if the movement status information S included in the record for which it is determined whether or not to delete represents “long-distance movement”. In addition, if the movement status information S included in the target record indicates “stay”, the movement status information S is “stay” among the records that are not the targets for determining whether or not to delete. It is checked whether or not there is a record that represents. If there is such a record, the user tracking unit 56 deletes the record that is the target for determining whether or not to delete. If there is no such record, the user tracking unit 56 does not delete the record for which it is determined whether or not to delete. Thus, in principle, a relatively old record such as, for example, before 24 hours is deleted from the user tracking information D2, but a record indicating the location where the user last stayed is left.

  Further, when the user tracking unit 56 receives an instruction from the provision information generation processing unit 55 to output information on the movement of the noticed user, the user tracking part 56 relates to the noticed user in the user tracking information D2 stored in the storage unit 12. With reference to the information, information on the movement of the user of interest is generated. Specifically, the user tracking unit 56 checks whether or not “long-distance movement” is included in the movement status information S related to the user of interest. Here, if “long-distance movement” is not included in the movement status information S, the user tracking unit 56 ends the processing assuming that there is no information regarding the movement of the noted user. In this case, information regarding the movement of the noted user is not output.

  Further, when “long-distance movement” is included in the movement status information S, the user tracking unit 56 reverses the movement status information S from the last recorded “long-distance movement” (the information recorded later). The records associated with the movement status information S representing “stay” are searched with reference to the head. If a record including the movement status information S representing “stay” is found, the location information P and date / time τ associated with the movement status information S representing “stay” found first are obtained. Further, if there is no record including the movement status information S indicating “stay”, the user tracking unit 56 may determine that an error has occurred and interrupt the process. As a result, the user tracking unit 56 obtains information on the location of the noticeable user associated with the movement status information S representing “stay” recorded before “long-distance movement”. That is, information on the location of the noted user before the start of movement is obtained.

  In addition, the user tracking unit 56 reads the location information Plast and date / time τlast recorded last from the user tracking information D2 related to the user of interest. Then, the user tracking unit 56 obtains the location information P and date / time τ of the noted user before the start of movement and the last recorded location position information Plast and date / time τlast (that is, the location before and after the movement). Information on the position and date and time) is output as information on the movement of the noted user.

  The database access unit 57 uses the environmental information input from the provided information generation processing unit 55 as a key, and refers to the weather / disease correlation information included in the correlation information database D1 stored in the storage unit 12 to determine each disease. Among the determined conditions, a risk value for onset corresponding to the condition that the environmental information as a key is satisfied is obtained. Then, the obtained risk risk set for each disease is output to the disease-related information generation unit 53.

  In the example here, the conditions stored in the correlation information database D1 include conditions related to changes in the environment information. As an example, the content of the correlation information database D1 accessed by the information providing server 1 includes the environment information obtained from the terminal 2 in the determination item for each disease (Sa, Sb. At least a part of conditions (Ca1, Ca2,..., Cb1, Cb2,...) Related to information elements included in the information are conditions related to information elements included in environmental information in a plurality of regions. As a specific example of this condition, for the disease “cold syndrome”, the value of the difference obtained by subtracting the temperature in the area before movement from the temperature in the area before movement is larger than a predetermined threshold value. Is the value of "."

  The database access unit 57 obtains an onset risk value corresponding to a condition that satisfies environmental information as a key among conditions determined for each disease. For example, the database access unit 52 classifies each of the information elements included in the environmental information acquired from the weather information provider to a predetermined category. For example, the temperature is classified as “hot”, the humidity is “moderate”, the wind is “weak”, the sunshine time is “slightly long”, and so on.

  Then, the database access unit 57 obtains the onset risk “+10” because, for example, the condition “heat stroke” for the disease satisfies the condition that the key environmental information is “hot”. Further, since the condition that the wind is “weak” is satisfied, the onset risk “+5” is obtained. If the temperature information included in the environmental information obtained from the terminal 2 represents that it exceeds “30 degrees”, for example, “+30” is obtained as an onset risk.

  In addition, when information related to the movement of the user of interest is output from the user tracking section 56, the database access unit 57 includes information P, Plast related to the location before and after the movement, and information τ related to the date and time included in the information related to the movement. , Τlast is taken out. Here, the database access unit 57 outputs the information P of the location before the user's movement and the information τ of the date and time when the user is located to the environment information acquisition unit 42, and the region represented by the location In addition, environment information (environment information before movement) at the date and time is acquired. In addition, the database access unit 57 outputs the location information Plast of the location of the user of interest after movement and the corresponding date and time information τlast to the environment information acquisition unit 42, and the environment in the region and date and time represented by the location. Acquire information (environmental information after movement).

  The database access unit 57 acquires from the correlation information database D1 the value of the onset risk corresponding to the condition that the acquired pre-movement environment information and post-movement environment information are satisfied.

  The information providing server 1 according to this example operates as follows. Also in this example, it is assumed that the user U1 registers the mail address UM1 of the terminal 2 used by the user U1 in the information providing server 1 in association with the information U1 for identifying himself / herself.

  The information providing server 1 manages the registered user information by storing it in the storage unit 12. The information providing server 1 sets the managed user information one by one as attention user information one by one. Then, information on the location of the noted user is acquired sequentially. Here, it is assumed that the information providing server 1 obtains information for specifying the area where the base station BS with which the terminal 2 is communicating is located from a communication carrier with permission from the user in advance. Here, for example, information of “inside Tokyo 23 wards” is obtained until 10:00 on December 1, 2014 (am) as local information, and at 11 o'clock, “Omiya City, Saitama Prefecture”, 12 noon It is assumed that information on “Sendai City in Miyagi Prefecture” is sometimes obtained, and information on “Morioka City in Iwate Prefecture” is obtained at 13:00.

  At this time, the information providing server 1 performs an operation as the user tracking unit 56, and information indicating that “stayed” in “23 wards of Tokyo” until 10:00 on December 1, 2014 (morning). Is recorded as user tracking information D2, and from 11 o'clock to 13 o'clock on the same day, information indicating that the vehicle has been moved to a long distance is recorded as user tracking information D2.

  Also in this example, the information providing server 1 uses the information on the current date and time when processing is performed and the information on the area where the user U1 is acquired in advance to use the website of the Japan Meteorological Agency (in Japan) Environmental information such as temperature, humidity, atmospheric pressure, and precipitation in the area and the area is acquired from the AMeDAS (AMeDAS information). Here, assuming that the current date and time is “December 1, 2014, 13:00” and the current location information is “Morioka City, Iwate Prefecture”, the date and time and the environmental information in the region are “Atmospheric pressure (sea level correction): 1015.5hPa, temperature: 6.7 degrees, dew point temperature: -3.2 degrees, humidity: 49%, wind speed: 5.1m, wind direction: southwest, sunshine duration: 0.2 hours, weather: clear, cloud cover: 7 ... And so on.

  The information providing server 1 refers to the weather / disease correlation information included in the correlation information database D1 stored in the storage unit 12 using the obtained environment information as a key. The information providing server 1 obtains an onset risk value corresponding to a condition that satisfies environmental information as a key among conditions determined for each disease. Specifically, the information providing server 1 classifies each information element included in the obtained environment information into a predetermined category. For example, the temperature is classified as “slightly cold”, humidity as “slightly dry”, wind as “strong”, sunshine duration as “short”, and so on.

  The information providing server 1 does not obtain the risk of onset risk, for example, for the disease “heatstroke” because the key environmental information does not satisfy the condition such as “hot”. On the other hand, for the disease “cold syndrome”, since the key environmental information satisfies the condition that “slightly cold” or “somewhat dry”, the information providing server 1 determines the disease “cold syndrome” from each condition. “+5” and “+5” are obtained as onset risk values, respectively.

  Furthermore, the information providing server 1 refers to the user tracking information D2 related to the user of interest, and since the last recorded information relates to “long distance movement”, the information providing server 1 was “staying” retroactively. Identify region and date. Here, since it is recorded as “staying” in “Tokyo 23 Wards” as local information at 10:00 am on the same day, the information providing server 1 has the environment of “Tokyo 23 Wards” at 10:00 am on the same day. Obtain information from the Japan Meteorological Agency website. Here, the date and time and regional environmental information are: “Atmospheric pressure (sea level correction): 1012.5 hPa, Temperature: 10.8 degrees, Dew point temperature: 2.4 degrees, Humidity: 60%, Wind speed: 0.9 m, Wind direction: Northwest, Sunlight time: 1.0 hours ”, Weather: clear, cloud cover: 0...” And so on. The environmental information for the last recording is the same as that already obtained.

  The information providing server 1 refers to the weather / disease correlation information included in the correlation information database D1 stored in the storage unit 12 using the obtained environmental information as a key. The information providing server 1 obtains an onset risk value corresponding to a condition that satisfies environmental information as a key among conditions determined for each disease. Specifically, the information providing server 1 determines that the difference between the obtained temperature of 10.8 degrees in Tokyo 23 wards at 10:00 am and the temperature of 6.7 degrees in Morioka city, Iwate prefecture at 13:00, 3.1 degrees, or humidity difference. (11% in this example) is calculated (conditions relating to temperature differences are included in the correlation information database D1), and among the conditions determined for each disease, the calculated temperature difference The value of the onset risk corresponding to the condition satisfied by is obtained. Here, regarding the disease “cold syndrome”, if the value of the onset risk associated with the condition “temperature difference is positive and humidity difference is 10% or more” is “+10”, the information providing server 1 Since the above conditions are satisfied from the respective environmental information in the region before and after the user's movement and the date and time, the onset risk value “+10” for the disease “cold syndrome” is obtained.

  The information providing server 1 accumulates risk values for each disease using information obtained by referring to the correlation information database D1. In the above example, since there is no risk of onset obtained for the disease “heatstroke”, the cumulative risk value for the disease “heatstroke” is set to “0”. On the other hand, for the disease “cold syndrome”, “+5”, “+5”, and “+10” are obtained as risk risk values, and these are accumulated to give “+25” as a cumulative risk risk value. obtain.

  The information providing server 1 selects, as a notification target, one that exceeds a predetermined threshold value among the cumulative onset risk values for each disease thus obtained. Here, if the threshold is set to “+20”, the information providing server 1 selects the disease “cold syndrome” as a notification target. The information providing server 1 generates disease-related information including information on the selected disease to be notified. Here, an example of the disease related information generated by the information providing server 1 is the same as that illustrated in FIG. 5, and therefore will not be described again here.

  According to the information providing server 1 according to this example, the user can obtain disease-related information due to a change in weather conditions experienced by the user because the user has moved.

  In this example, when the user moves on a trip, etc., that is, environmental information at the time when the user stayed and environmental information at the time of movement at the destination. And the information providing server 1 obtains information on the risk of developing disease based on the plurality of environmental information. However, this embodiment is not limited to this, and if there is information (for example, an address, etc.) that the user has registered in advance as a place where the user usually lives, the environmental information at the address and the destination The information providing server 1 may acquire the environmental information at the time of movement, and provide information on the risk of developing a disease based on the plurality of environmental information. That is, in this case, in the above-described example, the information on the area represented by the pre-registered address is obtained instead of obtaining the information on the area and date / time recorded as “stay” before the movement. In addition, when obtaining regional information in this way, it is possible to obtain environmental information in the area of the address location at the time of movement, or the average environmental information (average temperature, etc.) of the date and time in the area of the address location. ). In such a case, the correlation information database D1 also includes a condition using a value such as the difference between the average temperature and the current temperature.

[Use of personal characteristic information]
Furthermore, in the present embodiment, correction may be performed using information on the constitution of each user (information relating to sensitivity to the environment). The information regarding the sensitivity to the environment includes various information such as age, sex, body composition, height / weight, life log (sleeping time, activity amount, etc.), genetic information, past illness, birthplace, and so on. These pieces of information may be input in advance by the user and stored in the storage unit 12 in association with information for identifying each user together with the contact information (email address or the like) of the user. The user information management unit 41 manages these pieces of information. In this example, the information stored in the storage unit 12 and recorded in association with the information for specifying the user corresponds to the sensitivity information database D3 of the present invention.

  Moreover, when the user is requested to input in advance, the life log information must be average information (information such as average sleep time and daily average number of steps). There is a device that measures the number of steps and sleep time, communicates with a server on the network via the terminal 2, and sends out the measured information every day (for example, Fitbit (registered trademark) device of US Fitbit Corporation) ).

  Therefore, when the user wears these devices, the information providing server 1 accepts information (information specifying the user, information on the number of steps, information on the sleep time, etc.) transmitted from the device every day. The daily average information may be calculated, and the life log information of the day may be recorded in the sensitivity information database D3 in association with the information specifying the user.

  When the constitution information for each individual is recorded in this way, for at least some diseases, the correlation information database D1 includes a record in which the condition related to the constitution information is associated with the onset risk. For example, regarding the disease “heart disease”, the onset risk when the body weight exceeds a predetermined weight threshold is “+3”, the onset risk when the sleep time on the day falls below the predetermined time threshold is “+1”, etc. And recorded in the correlation information database D1.

  And the information provision server 1 selects an attention user, calculates the onset risk for every disease based on the environmental information regarding the said attention user, and the information on the constitution recorded about the attention user in the sensitivity information database D3. The risk of onset for each disease associated with the acquired information is further obtained, and the risk of onset obtained is accumulated for each disease. Then, among the obtained cumulative onset risk values for each disease, those exceeding a predetermined threshold value are selected as notification targets, and notification processing is performed.

  According to this example, even if it is an environmental condition that a person with a general body shape is not affected, if the person is easily affected by an obese body person, the risk of developing some diseases is increased. Thus, processing such as providing information on the disease can be performed. Further, for example, a user who has a history of asthma, such as a user who has a history of asthma, can perform processing such as evaluating the onset risk regarding some diseases higher than that of a user who has no such disease.

  Further, in such an example, the correlation information database D1 may include information on the risk of onset related to conditions related to both the information related to the constitution and the environment information. For example, for the disease “heart disease”, when the weight exceeds a predetermined weight threshold value and the temperature exceeds a predetermined temperature threshold value, the onset risk value is set to “+5”. May be included.

[Information such as day of the week and month]
Furthermore, in the description so far, environmental information experienced by the user and information on the constitution of the user are used as the conditions for adding the onset risk for each disease included in the correlation information database D1. The embodiment is not limited to this, and the onset risk may be corrected to increase or decrease according to conditions common to each user.

  As such conditions, for example, there may be conditions based on information such as the day of the week on which the information providing process is performed or the month to which the day belongs. For example, for the disease “acute alcoholism”, the disease risk associated with the condition “It is Friday” is set to “+2”. In addition, the disease risk associated with the condition “the month is from July to September” is set to “+2”. This reflects the fact that acute alcohol poisoning occurs more frequently on Friday nights and more in summer when it is likely to become dehydrated due to ingestion of beer or the like.

[Information feedback by users]
In an example of the present embodiment, the information provided by the information providing server 1 may include a field for inputting feedback from the user. Specifically, when the user browses the information on the terminal 2, it may be possible to input information indicating the degree of feeling of onset or discomfort for each disease. The information input here is sent to the information providing server 1 from the terminal 2 together with the provided environment information according to an instruction.

  And the information provision server 1 receives the said information, and obtains the information of the disease made into the input onset feeling or discomfort contained in the said information. For the obtained disease, the correlation information is adjusted by adjusting the value of the onset risk associated with the conditions recorded in the correlation information database D1 and satisfying the environmental information included in the received information. The contents of the database D1 may be updated.

  According to this example, the contents of the correlation information database D1 are updated by feedback from the user.

[Modifications, etc.]
In the description so far, the example in which the risk of onset is evaluated by the method by adding points has been described, but the present embodiment is not limited to this, and if the evaluation and comparison can be performed by a predetermined method, points are added. It does not have to be the method by.

DESCRIPTION OF SYMBOLS 1 Information provision server, 2 terminal, 11 Control part, 12 Storage part, 13 Communication part, 41 User information management part, 42 Environmental information acquisition part, 43, 43 'Information generation part, 44 Notification processing part, 51, 55 provision Information generation processing unit, 52, 57 Database access unit, 53 disease related information generation unit, 56 user tracking unit.

Claims (3)

Analyze the correlation between the environmental information and the illness of the patient who was transported by ambulance using the past emergency transport record for each region and the environmental information including the information related to the weather at the time of the emergency transport for each region. Connected to a correlation information database that holds weather / disease correlation information obtained through
Environmental information acquisition means for acquiring environmental information related to the region where the user is located for each user;
Diseases provided to users based on the environmental information acquired for each user and the acquired weather / disease correlation information by acquiring the weather / disease correlation information by accessing the correlation information database Generating means for generating related information;
Informing means for informing the corresponding user of the generated disease related information;
Only including,
The environmental information acquisition means acquires environmental information relating to a region where the user is located, including weather information measured by the terminal, from a terminal possessed by the user, and in the region where the user is located. Such environmental information is obtained from the information provided by the weather information provider,
The generation means includes a difference between the environmental information acquired from the terminal and the environmental information acquired from the information provided by the weather information provider, the weather / disease correlation information acquired from the correlation information database, and An information providing server that generates disease related information to be provided to users based on the above . The information providing server according to claim 1 ,
Connected to a sensitivity information database that holds sensitivity information related to environmental sensitivity for each user,
The information generating server is configured to acquire susceptibility information of a user from the susceptibility information database and generate disease-related information to be provided to the user using the acquired sensitivity information. Analyze the correlation between the environmental information and the illness of the patient who was transported by ambulance using the past emergency transport record for each region and the environmental information including the information related to the weather in the region at the time of emergency transport for each region. A computer connected so as to be able to access a correlation information database holding weather / disease correlation information obtained by
Environmental information acquisition means for acquiring environmental information related to the region where the user is located for each user;
Diseases provided to users based on the environmental information acquired for each user and the acquired weather / disease correlation information by acquiring the weather / disease correlation information by accessing the correlation information database Generating means for generating related information;
Informing means for informing the corresponding user of the generated disease related information;
To function as,
When functioning as the environmental information acquisition means, the environmental information relating to the area where the user is located, including the weather information measured by the terminal, is acquired from the terminal owned by the user, and the user Environmental information related to the area where the
When functioning as a generating means, the difference between the environmental information acquired from the terminal and the environmental information acquired from the information provided by the weather information provider, and the weather acquired from the correlation information database A program that generates disease-related information to be provided to users based on disease correlation information .

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