JPWO2009075294A1 - Risk prediction system and method - Google Patents

Abstract

The risk calculation system includes a situation information collecting unit that collects situation information indicating a situation of a user of a mobile terminal or an accessory of the mobile terminal that constitutes a monitoring target, and situation information that transmits the situation information collected by the situation information collection unit A risk that is predicted to be monitored by referring to the mobile terminal having the transmission unit, the situation information transmitted from the mobile terminal, and the risk data that is stored in the database and that depends on the attribute of the monitor target A risk calculation server having a risk calculation unit for calculating and a risk notification unit for notifying a risk calculated by the risk calculation unit to a predetermined terminal device;

Description

  The present invention relates to a risk prediction system, and more specifically, attributes (types, characteristics, states), situations, actions, behaviors, etc. of a person carrying a portable terminal (user) or an article attached to the portable terminal (attached article). The present invention relates to a risk prediction system for measuring a risk according to a situation history or the like. The present invention further relates to a risk prediction method for measuring the risk of a carrier or an accessory, a portable terminal used for that purpose, a risk calculation server, and a program.

  In recent years, various businesses have provided services that enable the grasping of the status of people and goods by utilizing mobile terminals with built-in GPS (Global Positioning System) receivers, sensors, non-contact IC chips, etc. Has been. As an example of a system that provides such services, a terminal with a sensor is attached to an article, and changes in temperature, humidity, and location of deliveries and inventory are collected via a network on a server connected to the network. There is a quality management system that appropriately grasps the quality in the distribution process of goods. In addition, a service system is also known that protects a portable terminal with a positioning function such as a GPS receiver or active RFID (Radio Frequency Identification) by carrying it to a person to be protected (old man or child). In this system, the position of the person to be protected is transmitted from the portable terminal, and based on the received signal, it is determined that the person to be protected is present in the dangerous area or the normal activity area, and the guardian is notified.

  As another service, there is also known an insurance content determination system in which a user transmits his / her current location information and a user ID to a server using a portable terminal with a GPS function, and the server determines the risk level of the user. (Patent Document 1). The server determines the risk based on the received current location information of the user, selects the content of the proposed insurance, and transmits it to the user's mobile terminal.

  Furthermore, there is also known a risk notification system in which a server notifies a climber's mobile terminal of risk information such as weather change and sunset time (Patent Document 2). In this system, a climber who is a user of a service registers a climbing route, a mountain climbing / descent plan, age, climbing experience, a mobile terminal call number, and the like in the climber behavior management system. When the registered information includes a risk factor, the server notifies the climber's mobile terminal of the content and the modification of the registered content. In addition, the server periodically acquires regional information such as weather, monitors the location of the registrant by GPS, and notifies the climber's mobile terminal of the arrival time at the planned location. The server repeatedly checks whether there is any information that may cause danger to the climber's action. If the server confirms the danger, the server notifies the climber's mobile terminal to that effect.

Japanese Patent Laid-Open No. 2004-62335 JP 2001-160193 A

  In the risk notification system described in the above-mentioned patent document, the absolute temperature at the time of specifying the risk regarding a user of a portable terminal having status information collecting means such as a sensor, GPS, RFID, user operation, or an accessory of the portable terminal Or the temperature notified, or the risk degree corresponding to the user position is merely calculated from a database in which a statistical danger area is recorded. That is, the risk level prediction according to the attribute of the user or article, the situation, the history of behavior / situation change, or the like is not performed. In addition, the service is based on GPS location information, and it is impossible to realize risk prediction according to the attribute of the user or article, the situation, the history of behavior / situation change, and the like.

  For example, the risk level of an article is not limited to the change in the absolute value of the external condition, but varies depending on the relative change amount of the external condition, the continuous state of the managed object, and the combination of the attributes of the managed object. For example, in mixed management of goods, products that become defective when a certain temperature is exceeded, products that become defective when a certain temperature is exceeded for a certain period of time, products that become defective due to impact, products that become defective due to lightness, etc. The risk of losing a mixed load that contains, depends on the mixed load ratio.

  In human condition management, the risk of individual behavior, such as heat stroke, varies depending on the relative change in temperature and the period of the change, and increases with the continuation of exercise beyond a certain load. . Regarding the risk depending on the position of the child and the elderly, for example, even if the location is near the home, the risk of a child who is left without a person in the evening is higher than that of the elderly.

  In view of the above, the present invention is based on the situation, attributes (type, characteristics, state), etc. of the user of the mobile terminal having status information collection means by sensors, GPS, RFID, user operation, etc. An object of the present invention is to provide a system for measuring the above.

  The present invention relates to a situation information collection unit that collects situation information indicating a situation of a user of a portable terminal or an accessory of the portable terminal that constitutes a monitoring target, and situation information transmission that transmits the situation information collected by the situation information collection unit A risk level data that is connected to the mobile terminal via a network and is transmitted from the mobile terminal, and stored in a database, depending on at least the attribute of the monitoring target And a risk level calculation unit that calculates the risk level predicted for the monitoring target, and a risk level notification unit that notifies the risk level calculated by the risk level calculation unit to a predetermined terminal device. A risk calculation system comprising: a risk calculation server having a risk calculation server.

  The present invention also relates to a method for calculating a risk using a mobile terminal and a risk calculation server connected to each other via a communication line, wherein the mobile terminal is a user of a mobile terminal constituting a monitoring target or The step of collecting and transmitting status information indicating the status of the accessory of the mobile terminal, the risk calculation server at least in the attribute of the monitoring target stored in the status information transmitted from the mobile terminal and the database Referring to the dependent risk level data, calculating a risk level predicted for the monitoring target, and a step of the risk level calculation server notifying the calculated risk level to a predetermined terminal device. Provided is a risk calculation method characterized by having

  Furthermore, the present invention refers to a database that stores risk factor data that depends at least on the attribute of the user of the mobile terminal or the accessory of the mobile terminal that constitutes the monitoring target, and extracts the risk factor of the monitoring target An extraction unit, a status information collection unit that collects status information of the monitoring target related to the extracted risk factor, a change in the status information, and a risk pattern related to the corresponding risk factor are stored in association with each other The portable terminal is provided with a similarity determination unit that determines a similarity between the situation indicated in the situation information and the danger pattern with reference to the database.

  Furthermore, the present invention is a program for a mobile terminal having a computer, and refers to a database that stores risk factor data depending at least on attributes of a user of a mobile terminal or an accessory of the mobile terminal that constitutes a monitoring target. A process of extracting the risk factor of the monitoring target, a process of collecting the status information of the monitoring target related to at least the extracted risk factor, a change of the status information, and a corresponding risk factor There is provided a program characterized in that a process for determining the degree of similarity between the situation indicated in the situation information and the danger pattern is specified with reference to a database that stores the danger pattern to be associated with each other.

Furthermore, the present invention refers to a database that stores at least risk factors depending on attributes of a monitoring target when receiving status information of a user of the mobile terminal that constitutes the monitoring target or an accessory of the mobile terminal from the mobile terminal. The risk extraction unit for extracting the risk factor and the database storing the risk pattern depending on the risk factor and the attribute of the monitoring target are referred to, and the risk level of the monitoring target is calculated from the situation information related to the risk factor There is provided a risk level calculation server comprising: a risk level calculation unit that performs a risk level notifying unit that notifies the mobile terminal of the calculated risk level.
Furthermore, from the present invention, there is provided a program for a risk level calculation server for calculating a risk level of a monitoring target from status information of a user of the mobile terminal constituting the monitoring target or an accessory of the mobile terminal. When the situation information of the object is received, the process of extracting the risk factor with reference to the database storing at least the risk factor depending on the attribute of the monitored object, and the risk pattern depending on the attribute of the risk factor and the monitored object are stored. A program characterized by referring to a database and prescribing a process of calculating a risk level of the monitoring target from status information related to the risk factor and notifying the mobile terminal of the calculated risk level provide.

  In the risk notification system, method, and program of the present invention, not only the location of the user of the portable terminal device or the accessory item, but also the measurement of the risk factor taking into account the attribute, residence time, situation, time, etc. of the user or accessory item. As a result, it is possible to measure a more quantitative and highly accurate risk.

  The above and other objects, features, and advantages of the present invention will become apparent from the following description with reference to the drawings.

1 is a block diagram of a risk prediction system according to a first embodiment of the present invention. It is a 1st block diagram of the portable terminal of FIG. It is a flowchart which shows the process of the risk prediction system of FIG. It is a flowchart which shows the detail of the one part step of FIG. It is a block diagram of the risk prediction system which concerns on the 2nd Embodiment of this invention. It is a block diagram of the portable terminal of FIG. It is a flowchart which shows the process of the risk prediction system of FIG. It is a block diagram of the risk prediction system which concerns on the 3rd Embodiment of this invention. It is a flowchart which shows the process of the risk prediction system of FIG. It is a flowchart which shows the detail of step A7 of FIG. It is a block diagram of the risk prediction system which concerns on the 4th Embodiment of this invention. It is a flowchart which shows the process of the risk prediction system of FIG. It is a block diagram of the risk prediction system which concerns on the 5th Embodiment of this invention. It is a flowchart which shows the process of the risk prediction system of FIG.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. In order to facilitate understanding, the same components are denoted by the same reference numerals throughout the drawings.

First embodiment

  FIG. 1 is a block diagram of a risk prediction system according to the first embodiment of the present invention. The risk level prediction system of the present embodiment includes a mobile terminal 100A and a risk level prediction server (risk level calculation server) 200A. The mobile terminal 100A and the risk prediction server 200A operate by program control, and are connected to each other by a network 300 configured by the Internet or the like. The portable terminal 100A is an information processing apparatus, and includes status information acquisition means such as sensors, GPS, RFID, and user operations, and data communication means.

  FIG. 2 shows a block diagram of the mobile terminal 100A shown in FIG. The portable terminal 100A includes a situation information collection unit 101, a notification unit 102, an attribute information storage unit 103, a risk factor pattern storage unit 104, a risk factor identification unit 105, a situation information storage unit 106, a situation information monitoring unit 107, a control unit 108, And a communication control unit 109.

  The status information collecting means 101 includes sensors (detectors such as temperature, humidity, altitude, brightness, impact, acceleration, pressure, etc.), optical communication devices such as infrared communication devices and cameras, and non-contact IC tags collectively referred to as RFID. It includes devices that collect status information around status information collection means, such as cards. The status information collecting unit 101 also includes a device that reads and writes signals detected by sensors, a GPS (Global Positioning System) receiver, a device that has a function of communicating with a sensor device embedded in the environment, and the like. The notification means 102 has a function of notifying the user of the danger level, the presence / absence of danger, and the like by voice call, voice synthesis, mail, messenger, blinking light of a light emitting diode (LED), vibration, display screen, and the like. Here, the user is a person who uses a portable terminal equipped with status information collecting means such as a sensor, GPS, RFID, and user operation, and exists in an environment or situation where there is a possibility of danger. In addition, an incidental article to be described later is an article that exists in a potentially dangerous environment or situation. Users and incidental items are monitoring targets as viewed from the risk prediction system.

  The attribute information storage unit 103 has a function of storing information such as a user attribute and a notification method for each risk factor. The risk factor pattern storage unit 104 records the status information type and monitoring pattern (time interval, holding period, trend, number of samples, etc.) specific to the risk factor. The risk factor specifying unit 105 has a function of searching the risk factor pattern storage unit 104 for a risk factor pattern file corresponding to the attribute information recorded in the attribute information storage unit 103 and setting the risk factor pattern file in the situation information monitoring unit 107.

  The status information storage unit 106 has a function of storing status information values, history, trends, and the like acquired from the status information collection unit 101. Here, the value of the situation information is the value of the information collected by the situation information collecting means 101, and is quantified as a numerical value thereof, for example, by analogy based on recognition of the usage status of the apparatus, camera images, and microphone sounds. And possible status (conversation, moving, meeting, etc.).

  The status information monitoring unit 107 is configured to notify the status information from the status information collecting unit 101, collect status information at regular time intervals, and acquire status information at the timing of user interface (UI) operation. Is constantly monitored. The situation information monitoring unit 107 stores the value, history, trend, and the like of the situation information obtained by monitoring in the situation information storage unit 106, and compares the danger pattern set by the risk factor specifying unit 105 with the corresponding situation information. And has a function of detecting the degree of matching (similarity). The control unit 108 is a central processing unit and controls the above-described units 101 to 107 in an integrated manner. The communication control unit 109 controls data communication means via the network 300. The mobile terminal 100A includes devices including devices capable of information communication using sensor devices, active RFIDs, home appliances, and the like. For example, the control unit 108 may perform control so as to transmit the risk factor status information that has reached a predetermined fitness level and the corresponding risk factor to the risk prediction server 200A.

  Returning to FIG. 1, the risk prediction server 200 </ b> A is an information processing apparatus, and is configured as a computer system including a communication apparatus and the like. The risk prediction server 200A has an area risk information database (hereinafter referred to as DB) 205 in which risk information for each area linked to latitude and longitude, risk levels for each risk factor, and the like are stored. The risk prediction server 200A uses the terminal unique ID as a key, the attribute information DB 206 storing the attribute of the user or article to be managed, the situation information type and threshold value to be compared for each risk factor, Connect to the risk factor DB 207 in which countermeasures and the like are recorded, and read / write from / to each of the DBs 205 to 207. These DBs 205 to 207 may all be provided by a single device, or may be configured by a plurality of processing devices without being limited to a single device.

  The risk prediction server 200A includes status information receiving means 201, risk degree determining means 202, risk countermeasure determining means 203, and result transmitting / receiving means 204 as functional components. The situation information receiving unit 201 includes a situation degree information receiving unit 201, a risk degree determining unit 202, a risk countermeasure determining unit 203, and a result transmitting / receiving unit 204 as functional components. It receives risk prediction information such as terminal unique ID, status information, terminal position information, risk factor ID, notification destination, and notification means transmitted from the portable terminal 100A. The risk determination means 202 searches the area risk information DB 205 for the area risk corresponding to the position information based on the received terminal unique ID, status information, position information, risk factor, and the like, and uses the terminal unique ID as an attribute. The attribute information is searched from the information DB 206, the risk level corresponding to the risk factor, status information, and attribute information is calculated from the risk factor DB 207 based on the risk factor, status information, and attribute information. Determine the risk. Also, the mobile terminal to be notified and the transmission means (communication line and communication method) suitable for the notification means are determined. Based on the information of the determined transmission means, a communication line to be used for information transmission is determined, and a notification means to be used in the receiving terminal device is designated. The risk countermeasure determining means 203 searches the risk factor DB 207 for risk countermeasure means corresponding to the risk determined by the risk determining means 202. The result transmission / reception unit 204 transmits the risk level and the risk countermeasure plan according to the notification destination and the notification unit specified by the mobile terminal 100A, and response information such as the risk level, the risk countermeasure plan evaluation and the implementation result, etc. Receive. The notification destination may be the mobile terminal 100A or another predetermined information processing terminal device.

  The area danger information DB 205 is an information processing apparatus, and has a database function for managing risk information for each area in association with its own storage device. The area risk information is a correspondence table that is managed by latitude and longitude and includes at least the latitude and longitude that uniquely identifies the position, the risk factor ID that uniquely identifies the risk factor, the risk information, and the risk level. The area danger information may include a suitable attribute, time zone, and the like.

  The attribute information DB 206 is an information processing apparatus, and is a database that stores attribute information associated with the terminal unique ID. The attribute information is a one-to-one correspondence table including at least a terminal ID for uniquely identifying a mobile terminal and an attribute type. The attribute information may include information related to the owner of the mobile terminal and incidental items, past history, notification destination information, and the like.

  The risk factor DB 207 is an information processing apparatus, and is a database that stores a risk factor ID for uniquely identifying a risk factor and information associated with the risk factor ID. The risk factor information is a correspondence table including at least a risk factor ID for uniquely identifying a risk factor, a status information type to be monitored, a threshold value for each risk level, a target attribute, and countermeasure means. A plurality of countermeasures may be included for each attribute and each risk level.

  3 and 4 are flowcharts showing processing of the first exemplary embodiment of the present invention. With reference to FIG. 3, a flow from when the portable terminal 100 </ b> A transmits status information to the risk prediction server 200 </ b> A and receiving a response from the risk prediction server 200 </ b> A will be described.

  The portable terminal 100A first identifies the risk factor pattern file corresponding to the user attribute information recorded in the attribute information storage unit 103 by the risk factor identifying unit 105, and sets the risk factor pattern file in the situation information monitoring unit 107 (step A1). Next, the portable terminal 100A acquires the situation information from the situation information collecting unit 101 by the situation information monitoring unit 107 (step A2).

  Next, the portable terminal 100A stores the situation information acquired by the situation information monitoring unit 107 in the situation information storage unit 106 (step A3). The situation information monitoring unit 107 compares the situation information type with the situation information type described in the risk factor pattern file, and determines whether or not they match (step A4).

  If the portable terminal 100A determines that they match in step A4, the portable terminal 100A evaluates the change in the situation information and determines the notification means from the attribute information (step A5). Here, the notification means is means for notifying the user or the user of danger levels such as flashing of light such as mail, messenger, LED, vibration, display screen, danger, etc. At this time, a predetermined terminal device that should receive the degree of risk may be specified separately from the portable terminal 100A. If it is determined in step A4 that they do not match, the process returns to step A1 and the series of steps A1 to A4 is repeated. If the portable terminal 100A determines that they match in step A4, after determining the notification means (step A5), the terminal ID that uniquely identifies the terminal itself, the risk factor ID that uniquely identifies the risk factor, situation information, and position information Information including the determined notification means is transmitted to the risk prediction server 200A (step A6).

  The risk prediction server 200A that has received the above information inputs the information to the risk determination means 202 to determine the risk (step A7), and inputs the risk to the risk countermeasure determination means 203 to handle the risk countermeasure. A plan is determined (step A8). Subsequently, the risk prediction server 200A uses the communication means (communication line and communication method) for notifying the risk based on the information of the notification destination and the notification means received in step A6, and carries the risk and the risk countermeasure plan. Transmit to terminal 100A (step A9). In addition, if the predetermined | prescribed terminal device which notifies a risk level is designated, it will notify to the predetermined | prescribed terminal device. The mobile terminal 100 </ b> A that has received the risk level and the risk countermeasure plan notifies the user by the notification unit 102. The user of the mobile terminal 100A evaluates the risk based on the notified risk and the risk countermeasure plan, and transmits the evaluation to the risk prediction server 200A (step A10). The risk prediction server 200A that has received the evaluation registers the risk evaluation in the area risk information DB 205, the attribute information DB 206, the risk factor DB 207, and the like (step A11).

  Next, with reference to FIG. 4, steps A7 and A8 of FIG. 3 executed by the risk prediction server 200A will be described in more detail. In the flowchart of FIG. 4, steps A71, A72, and A73 correspond to step A7 of FIG. 3, and step A81 corresponds to step A8 of FIG. Steps A71 to A73 are executed by the risk determination means 202, and step A81 is executed by the risk countermeasure determination means 202.

  The risk prediction server 200A receives the terminal ID, risk factor ID, situation information, position information, and notification means information from the portable terminal 100A, and inputs the received information to the risk determination means 202. The risk determination means 202 searches the area risk for each risk factor based on the position information, risk factor, time zone, and attribute information (step A71). Subsequently, the risk level determination means 202 compares the situation information threshold value for each risk factor retrieved from the risk factor DB 207 based on the risk factor and attribute with the degree of suitability (similarity) of the user status information to determine the risk level. Is calculated (step A72). Here, the degree of conformity is how dangerous the condition is based on the relationship between each numerical value (situation) of multiple risk factors (for example, location, time, congestion) and the threshold value for each corresponding factor. Indicates the degree of situation (similar).

  Subsequently, the total risk is calculated from the area risk searched and specified in step A71 and the risk for each risk factor calculated in step A72 (step A73). Here, the total risk level means a degree indicating exposure to a risk expressed by a level (qualitative), a probability value (quantitative), or the like. The total risk calculated in step A73 differs for each risk factor pattern. In step A81, if the total risk for each risk factor is a certain standard, a countermeasure means is searched and selected from the risk factor DB 207 (step A81).

  According to the present embodiment, status information (for example, numerical values such as status change, inclination, change amount, average) collected periodically by the mobile terminal 100A provided with status information collection means is used as the user of the mobile terminal 100A or an accessory. Compare with risk factor patterns according to the attributes of When there is a change in the situation information that matches the risk factor pattern, the mobile terminal 100A transmits the situation information, position information, and notification means information related to the identified risk factor to the risk prediction server 200A. In the risk prediction server 200A, the risk determination means performs risk prediction according to the attribute, status, action history, etc. of the user or incidental article based on such information. Further, the risk measure measure determining means determines a measure method for the risk factor from the risk factor, the risk level, and the attribute information. In the measurement of the degree of risk, not only the location of the user (mobile terminal), but also the measurement of the risk taking into account the attributes, residence time, situation, and time of the user or incidental items (the risk of step A7 performed by the risk prediction server 200A) By performing (decision), a more quantitative risk level is presented to the user of the mobile terminal 100A. The risk prediction server 200 </ b> A can also present the danger avoidance method determined by the risk countermeasure determination means 203 to the user of the mobile terminal 100 </ b> A according to the user situation.

  In the present embodiment, as described above, the risk level is presented to the user, the collected risk factor / situation information is accumulated, and these are fed back to enable more accurate risk level prediction. .

Second embodiment

  Next, the configuration of the second exemplary embodiment of the present invention will be described in detail with reference to the drawings.

  FIG. 5 is a block diagram of a risk prediction system according to the second embodiment of the present invention. In the figure, components similar to those in FIG. As illustrated in FIG. 5, the risk level prediction system according to the present embodiment includes a mobile terminal 100B and a risk level prediction server 200B. The mobile terminal 100B and the risk prediction server 200B operate by program control, and are connected to each other by a network 300 such as the Internet provided in each component. The portable terminal 100B is an information processing apparatus, and includes status information acquisition means such as sensors, GPS, RFID, and user operations, and data communication means.

  FIG. 6 is a block diagram showing a configuration of the mobile terminal shown in FIG. In the figure, the same components as those in FIG. The portable terminal 100B stores the status information value, history, trend, etc. acquired from the status information collection unit 101, the notification unit 102, the attribute information storage unit 103, and the status information collection unit 101, as in the portable terminal 100A of FIG. A situation information storage unit 106 and a communication control unit 109. The mobile terminal device 100B is different from the mobile terminal 100A of the first embodiment in that it does not have the risk factor pattern storage unit 104 and the risk factor specifying unit 105, and in the configuration of the situation information monitoring unit 110 and the control unit 111. .

  The situation information monitoring means 110 transmits a terminal ID that uniquely identifies the portable terminal 100B to the risk prediction server 200B, and the situation information type, monitoring pattern (time interval, holding period, trend, It has a function of receiving risk factor pattern information describing the number of samples) and setting it to itself. Further, the status information monitoring unit 110 constantly notifies the status information by changing the status information device from the status information collecting unit 101, collecting status information at regular time intervals, and acquiring status information at the timing of the user's UI operation. It has a function of monitoring and recording status information values, history, trends, etc. in the status information storage unit 106. The situation information monitoring unit 110 compares the danger pattern acquired from the danger prediction server 200B with the situation information corresponding to the danger pattern, and detects the degree of fitness. The control unit 111 is a central processing unit that comprehensively controls the situation information collection unit 101, the notification unit 102, the attribute information storage unit 103, the situation information storage unit 106, and the situation information monitoring unit 110. Note that the mobile terminal device in the present embodiment is not limited to the mobile terminal 100B, and can be widely applied to devices having devices capable of information communication, such as sensor devices, active RFIDs, and home appliances.

  Returning to FIG. 5, the risk prediction server 200 </ b> B is an information processing apparatus, and is configured as a computer system including a communication apparatus and the like. The risk level prediction server 200B is a risk information for each area linked to latitude and longitude, an area risk information DB 205 storing the risk level for each risk factor, and the person or item to be managed with the terminal unique ID as a key. The attribute information DB 206 storing the attributes of the risk factor, the risk factor DB 207 in which the status information type and threshold value to be compared for each attribute, the countermeasures, etc. are recorded for each risk factor. Has the ability to read and write.

  The risk prediction server 200B includes a terminal request reception unit 211, a risk determination unit 202, a risk countermeasure determination unit 203, and a result transmission / reception unit 204 as functional components. The terminal request receiving unit 211 searches the risk factor pattern information from the risk factor DB 207 using the terminal ID and attribute information received from the mobile terminal 100B as keys and notifies the terminal, and the terminal ID and status information transmitted from the mobile terminal 100B. , Terminal location information, risk factor ID, notification destination, notification means, etc. The risk determination means 202 searches the area risk information DB 205 for an area risk corresponding to the position information based on the received terminal ID, status information, position information, risk factor, and other information. Also, the attribute information is searched from the attribute information DB 206 by the terminal ID, the risk level corresponding to the risk factor, status information, and attribute information is calculated from the risk factor DB 207 based on the risk factor, status information, and attribute information, and the area risk level is calculated. Together with this, the risk level is determined comprehensively. The risk countermeasure determining means 203 searches the risk factor DB 207 for risk countermeasure means corresponding to the risk determined by the risk determining means 202. The result transmission / reception means 204 determines the notification destination specified by the portable terminal 100B, the terminal device and the communication line to be notified according to the notification means, and determines and transmits the risk level and the risk countermeasure plan. In addition, response information such as the degree of risk, evaluation of the risk countermeasure plan, and implementation results is received from the mobile terminal 100B.

  The risk level prediction server 200B of the present embodiment has substantially the same configuration as the risk level prediction server 200A of the first embodiment shown in FIG. The risk prediction server 200B includes a function of receiving the terminal ID and attribute information transmitted from the mobile terminal 100B, searching for risk factor pattern information from the risk factor DB 207 using the received terminal ID and attribute information as a key, and notifying the risk factor pattern information. Terminal request receiving means 211 is provided. The area risk information DB 205, the attribute information DB 206, and the risk factor DB 207 are all information processing apparatuses, and the configuration thereof is the same as that of the first embodiment.

  FIG. 7 is a flowchart illustrating processing of the risk level prediction system according to the second embodiment. In the figure, the same steps as those in FIG. 3 are denoted by the same reference numerals.

  With reference to FIG. 7, the flow from the portable terminal 100B transmitting the situation information to the risk prediction server 200B until the portable terminal 100B receives a response from the risk prediction server 200B will be described.

  First, the portable terminal 100B reads out a unique terminal ID for uniquely identifying the terminal itself and attribute information related to the user or an accessory from the attribute information storage unit 103, and transmits it to the risk prediction server 200B (step A21). Upon receiving the terminal ID and the attribute information, the terminal request receiving unit 211 of the risk prediction server 200B searches the risk factor DB 207, and identifies the situation information type, monitoring pattern (time interval, retention period) for each risk factor. , Trend, sample, etc.) are obtained (step A22). Subsequently, the risk prediction server 200B notifies the mobile terminal 100B of the acquired risk factor pattern by the terminal request receiving unit 211 (step A23).

  Next, the portable terminal 100B sets the received risk factor pattern information in the situation information monitoring unit 110 (step A24). Subsequently, the status information monitoring unit 110 acquires status information from the status information collection unit 101 (step A2), and stores the acquired status information in the status information storage unit 103 (step A3). Next, the mobile terminal 100B compares the acquired status information type with the status information type described in the risk factor pattern file, and determines whether or not both match (step A4).

  Hereinafter, similarly to the portable terminal 100A, when the portable terminal 100B determines that they match at step A4, the change of the situation information is evaluated, and the notification means is determined from the attribute information (step A5). If the portable terminal 100B determines that they do not match in step A4, the portable terminal 100B returns to step A24 and repeats a series of processes of steps A24 and A2 to A4. If the portable terminal 100B determines that they match in step A4, after determining the notification means (step A5), the terminal ID that uniquely identifies the terminal itself, the risk factor ID that uniquely identifies the risk factor, situation information, and position information The information of the determined notification destination and notification means is transmitted to the risk prediction server 200B (step A6). Hereinafter, the risk prediction server 200B performs the operations of steps A7, A8, and A11 similar to those of the risk prediction server 200A of the first embodiment. The portable terminal 100B also performs the operations of Steps A9 and A10 similar to the portable terminal 100A of the first embodiment.

  In the present embodiment, the risk factor pattern storage unit is not included in the mobile terminal 100B, and the risk factor pattern is searched for by the risk prediction server 200B and transmitted as a response. The storage capacity of 100B may be smaller than that of the portable terminal 100A. In addition, as in the first embodiment, the present embodiment is not limited to the location of the user, but the measurement of the risk taking into account the user attribute, residence time, situation, and time (in step A7 performed by the risk prediction server 200B). The risk level determination) presents a more quantitative risk level to the user of the mobile terminal 100B. The risk prediction server 200B can present a danger avoidance method suitable for the user situation determined by the risk countermeasure determination means 203 to the user of the mobile terminal 100B.

Third embodiment

  FIG. 8 shows a block diagram of a risk prediction system according to the third embodiment of the present invention. In the figure, components similar to those in FIG. The risk level prediction system of the present embodiment includes a mobile terminal 100A and a risk level prediction server 200C. The mobile terminal 100A and the risk prediction server 200C operate by program control, and are connected to each other by a network 300 such as the Internet provided in each component. The mobile terminal 100A has the configuration shown in FIG. 2 as with the mobile terminal 100A of the first embodiment.

  The risk prediction server 200C is an information processing device and is configured as a computer system including a communication device. The risk prediction server 200C is a person or article to be managed with the risk information for each area linked to latitude and longitude, the risk information for each risk factor stored in the DB 205, and the terminal unique ID as a key. The attribute information DB 206 stores the attributes of the risk factor DB 207 in which the status information types and threshold values to be compared for each attribute, countermeasures, and the like are recorded for each risk factor. The risk prediction server 200 </ b> C has a function of reading and writing to each DB 205 to 207.

  The risk prediction server 200C includes a situation information receiving unit 201, a risk determining unit 202, and a result transmitting / receiving unit 204 as components unique to the present embodiment. The situation information receiving unit 201 receives the risk degree prediction information such as the terminal ID, the situation information, the terminal position information, the risk factor ID, the notification unit, and the notification destination transmitted from the portable terminal 100A. The risk determination means 202 searches the area risk information DB 205 for the area risk corresponding to the position information based on the received terminal ID, status information, position information, risk factor, and the like, and uses the terminal ID as attribute information. The attribute information is searched from the DB 206, the risk level corresponding to the risk factor, status information, and attribute information is calculated from the risk factor DB 207 based on the risk factor, status information, and attribute information. Determine the degree. The result transmission / reception means 204 transmits the degree of risk according to the notification destination and notification means specified by the mobile terminal 100A, and receives response information such as evaluation and result of the risk degree from the mobile terminal 100A. The area risk information DB 205, the attribute information DB 206, and the risk factor DB 207 are all information processing apparatuses, and the configuration thereof is the same as that of the first embodiment and 2.

  9 and 10 are flowcharts showing the processing of the risk level prediction system according to the third embodiment of this invention. 9 and 10, the same steps as the processing steps of FIGS. 3 and 4 are denoted by the same reference numerals.

  With reference to FIG. 9, a flow from when the mobile terminal 100A transmits the situation information to the risk prediction server 200C until the mobile terminal 100A receives a response from the risk prediction server 200C will be described.

  The portable terminal 100A performs the same operation as in the first embodiment in steps A1 to A6. That is, the mobile terminal 100A first identifies the risk factor pattern file corresponding to the user attribute information recorded in the attribute information storage unit 103 by the risk factor identifying unit 105, and sets the risk factor pattern file in the situation information monitoring unit 107 (step A1). ). Next, the portable terminal 100A acquires the situation information from the situation information collecting unit 101 by the situation information monitoring unit 107 (step A2), and stores the situation information in the situation information storage unit 106 (step A3). The status information monitoring unit 107 compares the acquired status information type with the status information type described in the risk factor pattern file, and determines whether or not both match (step A4).

  If the portable terminal 100A determines that they match in step A4, the portable terminal 100A evaluates the change in the situation information and determines the notification means from the attribute information (step A5). If portable terminal 100A determines that they do not match in step A4, it returns to step A1 and repeats a series of processing in steps A1 to A4. When the portable terminal 100A determines a match in step A4, the portable terminal 100A moves to step A6, where the terminal ID uniquely identifying the terminal itself, the risk factor ID uniquely identifying the risk factor, the situation information, the position information, and the determined notification means Is transmitted to the risk prediction server 200C.

  Upon receiving the above information by the situation information receiving unit 201, the risk level predicting server 200C inputs the received information to the risk level determining unit 202 and determines the risk level (step A7), and then the notification received in step A6. Using the communication line determined using the information of the means, the degree of danger is transmitted to the designated notification destination (in this case, the portable terminal 100A) (step A31). That is, in the present embodiment, unlike the risk prediction server 200A of the first embodiment, the risk prediction server 200C does not transmit the risk countermeasure plan to the mobile terminal 100A, and only responds to the mobile terminal 100A with the risk level. Send.

  The mobile terminal 100A that has received the degree of risk notifies the user with the output means, and the user of the mobile terminal 100A transmits an evaluation of the degree of risk to the risk level prediction server 200C (step A32). The risk prediction server 200C that has received the evaluation registers the risk evaluation in the area risk information DB 205, the attribute DB 206, the risk factor DB 207, and the like (step A11).

  Next, step A7 of FIG. 9 will be described in more detail with reference to the flowchart of FIG. In FIG. 10, upon receiving the terminal ID, risk factor ID, situation information, position information, notification means, etc. from the portable terminal 100A, the risk prediction server 200C inputs these information to the risk determination means 202, and receives the position information. The area risk for each risk factor is searched and specified based on the risk factor, time zone, and attribute (step A71). Subsequently, the risk prediction server 200C compares the situation information threshold for each risk factor retrieved from the risk factor DB 207 based on the risk factor and attribute with the suitability of the user status information, and calculates the risk ( Step A72). Subsequently, the risk prediction server 200C calculates the total risk from the area risk determined by searching in step A71 and the risk factor fitness calculated in step A72 (step A73). Here, the total risk calculated in step A73 differs for each risk factor pattern.

  According to the present embodiment, unlike the first embodiment, the risk prediction server 200C does not determine the risk countermeasure and transmits it to the mobile terminal 100A, but calculates the overall risk and calculates the mobile terminal. To 100A. For this reason, the risk prediction server 200 </ b> C is not limited to the user's location, but the risk determination (step A <b> 7) that takes into account user attributes, residence time, situation, and time gives a more quantitative risk to the mobile terminal 100 </ b> A. Can be presented to other users.

Fourth embodiment

  FIG. 11 is a block diagram of a risk degree prediction system according to the fourth embodiment of the present invention. In the figure, components similar to those in FIG. The risk level prediction system of the present embodiment includes a mobile terminal 100B and a risk level prediction server 200D. The mobile terminal 100B and the risk prediction server 200D operate by program control, and are connected to each other via a network 300 such as the Internet provided in each component. The mobile terminal 100B has the configuration shown in FIG. 6 as with the mobile terminal 100B of the second embodiment.

  The risk prediction server 200D is an information processing device and is configured as a computer system including a communication device and the like. The risk prediction server 200D is a person or article to be managed with the risk information for each area linked to latitude and longitude, the risk information for each risk factor stored in the DB 205, and the terminal unique ID as a key. The attribute information DB 206 stores the attributes of the risk factor DB 207 in which the status information types and threshold values to be compared for each attribute, countermeasures, and the like are recorded for each risk factor. The risk prediction server 200 </ b> D has a function of reading / writing from / to each DB 205-207.

  The risk prediction server 200D includes a terminal request reception unit 211 as a component unique to the present embodiment. The terminal request receiving unit 211 searches the risk factor pattern information from the risk factor DB 207 using the terminal ID and attribute information received from the mobile terminal 100B as keys and notifies the terminal, and the terminal ID and status information transmitted from the mobile terminal 100B. , Terminal position information, risk factor ID, notification means, and a function of receiving risk degree prediction information such as a notification destination. The risk level prediction server 200 </ b> D further includes a risk level determination unit 202 and a result transmission / reception unit 204. The risk determination means 202 searches the area risk information DB 205 for the area risk corresponding to the position information based on the received terminal ID, status information, position information, risk factor, and the like, and uses the terminal ID as attribute information. The attribute information is searched from the DB 206, the risk level corresponding to the risk factor, status information, and attribute information is calculated from the risk factor DB 207 based on the risk factor, status information, and attribute information. Determine the degree. The result transmission / reception means 204 transmits the degree of risk according to the notification destination and notification means specified by the mobile terminal 100B, and receives response information such as evaluation and result of the risk degree from the mobile terminal 100B. The area risk information DB 205, the attribute information DB 206, and the risk factor DB 207 are all information processing apparatuses, and the configuration thereof is the same as that of the first to third embodiments.

  FIG. 12 is a flowchart showing the processing of the risk calculation device according to the fourth embodiment of the present invention. In FIG. 12, the same steps as the processing steps in FIG. 7 are denoted by the same reference numerals. With reference to FIG. 12, the flow from the situation information is transmitted from the portable terminal 100B to the risk prediction server 200D until the portable terminal 100B receives a response from the risk prediction server 200D will be described.

  First, the portable terminal 100B reads the unique terminal ID for uniquely identifying the terminal itself and the attribute information related to the user or the accessory from the attribute information storage unit 103, and transmits it to the risk prediction server 200D (step A21). Upon receiving the terminal ID and the attribute information, the terminal request receiving unit 211 searches the risk factor DB 207 of the risk prediction server 200D, and identifies the situation information type, monitoring pattern (time interval, retention period) for each risk factor. , Trend, sample, etc.) are obtained (step A41). Subsequently, the risk prediction server 200D uses the terminal request reception unit 211 to transmit the acquired risk factor pattern in response to the mobile terminal 100B (step A42).

  Next, the portable terminal 100B sets the received risk factor pattern information in the situation information monitoring unit 110 in FIG. 6 (step A24). Subsequently, the situation information monitoring unit 110 acquires the situation information from the situation information collection unit 101 (step A2), and stores the situation information in the situation information storage unit 103 (step A3). Next, the status information monitoring unit 110 compares the acquired status information type with the status information type described in the risk factor pattern file, and determines whether or not both match (step A4).

  Similarly to the portable terminal 100A, the portable terminal 100B evaluates the change in the situation information and determines the notification means based on the attribute information (step A5) when it is determined that they match in step A4. If the portable terminal device 100B determines that they do not match in step A4, the portable terminal device 100B returns to step A24 and repeats a series of processes of A24, A2, A3, and A4. If the portable terminal 100B determines that they match in step A4, after determining the notification means in step A5, the terminal ID that uniquely identifies the terminal itself, the risk factor ID that uniquely identifies the risk factor, situation information, position information, Information on the determined notification means is transmitted to the risk prediction server 200D (step A6).

  When the risk prediction server 200D receives the above information at the terminal request receiving means 211, the risk request determining means 202 inputs the information to the risk determining means 202 to determine the risk (step A43), and then the notification received at step A6. The degree of risk determined using the means is notified (step A44). In the present embodiment, unlike the risk prediction server 200B of the second embodiment, the risk prediction server 200D does not transmit the risk countermeasure plan to the mobile terminal 100B, and notifies only the risk to the mobile terminal 100B.

  The mobile terminal 100B that has received the degree of risk notifies the user with the output means, and the user of the mobile terminal 100B transmits an evaluation of the degree of risk to the risk level prediction server 200D (step A10). The risk prediction server 200D that has received the evaluation registers the risk evaluation in the area risk information DB 205, attribute DB 206, risk factor DB 207, and the like (step A45).

  In the present embodiment, unlike the second embodiment, the risk level prediction server 200D does not determine risk measures and transmit them to the mobile terminal 100B, but calculates the overall risk level to the mobile terminal 100B. Send. For this reason, the risk prediction server 200D is not limited to the user's location, but the risk measurement (step A43) taking into account the user attribute, residence time, situation, and time gives a more quantitative risk to the mobile terminal 100B. Can be presented to other users.

Fifth embodiment

  FIG. 13 is a block diagram of a risk prediction system according to the fifth embodiment of the present invention. In the figure, components similar to those in FIG. As illustrated in FIG. 13, the risk level prediction system according to the present embodiment includes a mobile terminal 100 </ b> A, a risk level prediction server 200 </ b> E, and an external service division system 400. The mobile terminal 100A, the risk prediction server 200E, and the external service division system 400 are operated by program control, and are connected to each other by a network 300 such as the Internet provided in each component. The mobile terminal 100A has the configuration shown in FIG. 2 as with the mobile terminal 100A of the first embodiment.

  The risk prediction server 200E is configured as a computer system provided with a communication device and the like. In addition to the configuration of the risk prediction server 200A in FIG. 1, a charging unit 208 is added and an external service provider system 400 is provided. Can communicate with. The charging unit 208 charges the user or the service provider according to the evaluation of the risk level and risk countermeasures from the mobile terminal 100A and the service provider's service provision.

  FIG. 14 is a flowchart showing processing of the risk level prediction system of FIG. Referring to FIG. 14, a flow from when the mobile terminal 100A transmits status information to the risk information server 200E until the mobile terminal 100A receives a response from the risk prediction server 200E is shown.

  In FIG. 14, the mobile terminal 100A performs the same operations as in the first embodiment from step A1 to A6. That is, the mobile terminal 100A first identifies the risk factor pattern file corresponding to the user attribute information recorded in the attribute information storage unit 103 by the risk factor identifying unit 105, and sets the risk factor pattern file in the situation information monitoring unit 107 (step A1). ). Next, the portable terminal 100A acquires the situation information from the situation information collecting unit 101 by the situation information monitoring unit 107 (step A2), and stores the situation information in the situation information storage unit 106 (step A3). The status information monitoring unit 107 of the portable terminal 100A compares the status information type with the status information type described in the risk factor pattern file, and determines whether or not both match (step A4).

  If the portable terminal 100A determines that they match in step A4, the portable terminal 100A evaluates the change in the situation information and determines the notification means from the attribute information (step A5). If it is determined in step A4 that they do not match, the portable terminal 100A returns to step A1 and repeats a series of processes of steps A1 to A5. When the portable terminal 100A detects a match in step A4, the terminal ID that uniquely identifies the terminal, the risk factor ID that uniquely identifies the risk factor, the situation information, the position information, and the determined notification are detected via step A5. The means is transmitted to the risk prediction server 200E (step A6).

  When the risk information receiving unit 201 receives the above information, the risk level predicting server 200E inputs the information to the risk level determining unit 202 and determines the risk level (step A51). The risk level prediction server 200E inputs the risk level to the risk measure determination means 203, and determines a risk measure plan (step A52). Subsequently, the risk prediction server 200E transmits the determined risk and the risk countermeasure plan to the external service provider system 400 (step A53). When the external service provider system 400 receives the risk level and the risk countermeasure plan, the external service provider system 400 extracts information about the service corresponding to the risk level countermeasure darkness (step A54), and the service access such as the extracted information about the service or URL. The identifier is transmitted to the risk prediction server 200E (step A55).

  Subsequently, the risk prediction server 200E receives the risk and the risk countermeasure plan determined in Steps A51 and A52 and the information related to the service or the service access identifier received from the external service provider system 400 in Step A6. Using the communication line determined from the information of the notification means, it is transmitted to the portable terminal 100A (step A56).

  Subsequently, the mobile terminal 100A that has received the risk level, the risk countermeasure plan, the service information or the service access identifier notifies the user with the designated notification means, thereby acquiring the risk level and risk acquired from the user of the belt terminal 100A. Evaluation of the countermeasure plan is transmitted to the risk prediction server 200E (step A10). The risk prediction server 200E receives the evaluation transmitted from the mobile terminal 100A, and registers the risk evaluation in the area risk information DB 205, attribute DB 206, risk factor DB 207, and the like (step A57).

  Thereafter, the risk prediction server 200E performs charging according to the evaluation to the risk evaluation of the user of the portable terminal 100A by the charging unit 208 (step A58). Here, whether or not the degree of risk calculated by the system of the present embodiment is appropriate for the user of the mobile terminal 100A is used as the evaluation of the degree of risk. The above charging may be performed by the user of the mobile terminal 100A directly inputting the evaluation, or may be automatically determined according to the user's behavior. For example, the user of the mobile terminal 100 </ b> A can determine whether the risk evaluation is an appropriate evaluation for the user after receiving the recommended service from the external service provider system 400. Note that the charging is not limited to the user of the mobile terminal 100A, and may be made to the external service provider system 400 when the service is enjoyed.

  According to the present embodiment, it becomes possible to provide a service according to the degree of danger and the measure against the degree of danger by cooperation with the external service division system 400, and the location of the user, the attribute of the user and incidental items, the residence time, the situation, By measuring the degree of risk taking time into account, it is possible to provide services such as provision of risk level information, service mediation, and advertisement provision to external service providers providing safety and security to users.

  The above embodiment can be applied to providing various services according to the risk level of the user, for example, health monitoring service, life care service, traveler navigation service, and the like. Further, the present invention can be applied to an application such as a quality control system for mixed transportation that transports a variety of products having different management conditions such as fresh food, medicine, and cosmetics at a time. In other words, when various types of mixed products include products that may be damaged due to changes in the environment or circumstances, more specifically, there is a change in the risk factors for each of the mixed products, and some products are damaged. Then, the present invention can also be applied to a quality management system for notifying the degree of risk or the measure for the degree of risk when a commercial sales contract is not established.

  The present invention is not limited to the above embodiment. For example, the risk measurement server that can be connected to the external service provider system 400 as shown in FIG. Moreover, it is applicable also to the portable terminal 100B.

  Furthermore, the present invention includes a risk prediction program for a portable terminal and a program for a risk prediction server that cause the computer to execute the processes of the flowcharts of FIGS. 3, 7, 9, 12, and 14.

  Although the invention has been particularly shown and described with reference to illustrative embodiments, the invention is not limited to these embodiments and variations thereof. It will be apparent to those skilled in the art that various modifications can be made to the present invention without departing from the spirit and scope of the invention as defined in the appended claims.

  This application is based on and claims the priority of Japanese Patent Application No. 2007-317952 filed on Dec. 10, 2007, the entire disclosure of which is incorporated herein by reference. join.

Claims (20)

A situation information collecting unit that collects situation information indicating a situation of a user of a mobile terminal or a mobile terminal that constitutes a monitoring target, and a situation information transmission unit that transmits the situation information collected by the situation information collection unit A mobile device,
The monitoring target is connected to the portable terminal via a network, and refers to the status information transmitted from the portable terminal and the risk level data stored in the database and depending on at least the attribute of the monitoring target. A risk calculation server having a risk calculation unit for calculating a risk level predicted by the risk calculation unit, and a risk level notification unit for notifying a risk level calculated by the risk level calculation unit to a predetermined terminal device, A risk calculation system characterized by comprising.   The risk level calculation system according to claim 1, wherein the status information collection unit collects status information of a type corresponding to at least a risk factor depending on the attribute of the monitoring target.   The risk calculation server refers to a database that stores at least risk factors that depend on the attributes to be monitored, specifies the type of situation information corresponding to the risk factors, and the situation information collection unit includes the risk calculation server The risk calculation system according to claim 1 or 2, which collects status information of a type specified in (1).   The portable terminal further includes a situation information monitoring unit that calculates the similarity between the change mode of the situation information and the risk pattern in the corresponding risk factor, and the situation information transmission unit is a predetermined number in the situation information monitoring unit. The risk calculation system according to claim 2, wherein the situation information related to the risk factor from which the similarity is detected is transmitted.   The risk level calculation unit calculates a total risk level with reference to a database in which the risk level is described corresponding to each of the risk factor, the situation information, and the attribute information. The risk calculation system described in any one.   The risk degree calculation system according to any one of claims 1 to 5, wherein the situation information collection unit collects the situation information based on a monitoring pattern that depends at least on the attribute of the monitoring target.   The risk calculation server further includes a risk measure determination unit that determines a risk measure for avoiding a risk for a monitoring target for which a predetermined risk level is predicted, and the risk notification unit further includes information on the risk measure The degree-of-risk calculation system according to any one of claims 1 to 5, wherein the notification is sent to the mobile terminal.   The status information includes terminal information for designating the predetermined terminal device, and the risk notification unit notifies the risk to the predetermined terminal device specified by the terminal information. The risk calculation system according to any one of 7 above.   The situation information includes notification means information for designating the risk notification means, and the risk notification section notifies the calculated risk using a communication means specified by the notification means information. The risk calculation system according to any one of claims 1 to 8.   The risk calculation system according to any one of claims 1 to 9, wherein the portable terminal transmits evaluation information that evaluates a risk returned from the risk calculation server to the risk calculation server.   The risk calculation system according to claim 9, wherein the risk calculation server further includes a billing unit that charges an amount depending on the evaluation indicated by the evaluation information. A method for calculating a risk using a portable terminal and a risk calculation server connected to each other via a communication line,
A portable terminal that collects and transmits status information indicating a status of a user of a portable terminal or an accessory of the portable terminal that constitutes a monitoring target; and
The risk calculation server refers to the situation information transmitted from the mobile terminal and the risk data stored in the database and depends on at least the attribute of the monitoring target, and determines the risk predicted for the monitoring target. A step of calculating;
A risk calculation server comprising: a step of notifying the calculated risk to a predetermined terminal device.   The mobile terminal extracts a risk factor with reference to a database storing risk factors depending on at least the attribute to be monitored, and collects status information of a type corresponding to the extracted risk factor. The risk calculation method described in 1.   The portable terminal further includes a step of calculating the similarity between the change mode of the situation information and the risk pattern in the corresponding risk factor, and in the transmission step, the situation relating to the risk factor for which the predetermined similarity is detected The risk calculation method according to claim 11 or 12, wherein the information is transmitted.   The risk calculation method according to any one of claims 11 to 14, further comprising a step of the risk determination server determining a risk countermeasure for avoiding a risk for a monitoring target for which a predetermined risk is predicted. Transmitting the evaluation information evaluating the risk returned from the risk calculation server to the risk calculation server, the portable terminal;
The risk calculation method according to claim 16, further comprising a charging step in which the risk calculation server charges an amount depending on the evaluation indicated by the evaluation information. A risk factor extracting unit that extracts the risk factor of the monitoring target with reference to a database that stores risk factor data that depends at least on the attribute of the user of the mobile terminal or the accessory of the mobile terminal constituting the monitoring target;
A status information collection unit that collects status information of the monitoring target related to the extracted risk factors;
Similarity determination for determining the similarity between the situation indicated in the situation information and the danger pattern with reference to a database that stores the change in the situation information and the danger pattern related to the corresponding risk factor in association with each other And a portable terminal. A program for a portable terminal having a computer,
A process of extracting the risk factor of the monitoring target with reference to a database storing risk factor data depending at least on the attribute of the user of the mobile terminal constituting the monitoring target or the accessory of the mobile terminal;
A process of collecting status information of the monitoring target related to at least the extracted risk factor;
A process for determining a similarity between the situation indicated in the situation information and the danger pattern with reference to a database that stores the change in the situation information and the danger pattern related to the corresponding risk factor in association with each other. A program characterized by prescribing. Risk of extracting risk factors with reference to a database storing at least risk factors depending on the attributes of the monitoring target when receiving status information of the user of the mobile terminal constituting the monitoring target or the accessory of the mobile terminal from the mobile terminal A degree extractor;
A risk level calculation unit that calculates the risk level of the monitoring target from the situation information related to the risk factor with reference to a database that stores the risk pattern depending on the risk factor and the attribute of the monitoring target, and the calculated risk A risk level calculation server comprising a risk level notification unit that notifies the mobile terminal of a level. A program for a risk calculation server that calculates a risk level of a monitoring target from status information of a user of a mobile terminal or an accessory of the mobile terminal that constitutes the monitoring target,
When receiving status information of a monitoring target from a mobile terminal, a process of extracting a risk factor with reference to a database that stores at least a risk factor depending on the attribute of the monitoring target;
A process for calculating a risk level of the monitoring target from the situation information related to the risk factor, referring to a database storing a risk pattern depending on the risk factor and the attribute of the monitoring target, and the calculated risk level A program characterized by prescribing a process of notifying a mobile terminal.

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