JP6029864B2 - Information processing system, information processing method, and program - Google Patents

Description

  The present invention relates to information processing technology using GPS (Global Positioning System) and the like, and more particularly, to technology for processing positioning information of a mobile terminal measured using GPS.

  Various services using GPS are provided. As such a service, Patent Literature 1 discloses a technique for distributing an electronic mail in which an advertisement of a store located in the vicinity of a mobile terminal is distributed to the mobile terminal based on positioning information.

Japanese Patent Application No. 2010-226261

  However, in the above-described conventional technology, when the user of the mobile terminal receives the e-mail during work, the advertisement may have contents that are completely uninteresting for the user. Conversely, when received on a holiday, the advertisement may be beneficial to the user. As described above, in a service using GPS, when a user of a mobile terminal performs a service in consideration of whether it is a work day or a holiday, a service useful for the user may be provided.

  The present invention has been made in view of the above. The objective of this invention is providing the technique which can specify the working day of the user of a terminal device.

  The information processing system according to the present invention includes an area storage unit that stores information on an area used for specifying a work day or a holiday of a user of a mobile terminal, and information stored in the area storage unit based on positioning information. A working day / holiday identifying unit is provided for identifying a day in which the user has stayed in a predetermined area for a predetermined time or more, and identifying a working day or a holiday of the user according to the identified day.

  An information processing method of the present invention is a method implemented by an information processing apparatus including a control unit, and an area storage step for storing information on an area used for specifying a work day or a holiday of a user of a mobile terminal; Based on the positioning information, the control unit specifies a date on which the user has stayed in the area indicated by the information stored in the area storage step for a predetermined time or more, and the user's work is determined according to the specified date. A work day holiday specifying step for specifying a day or a holiday.

  According to the program of the present invention, the information stored in the area storage means is stored on the basis of the area storage means for storing information on the area used for specifying the work day or holiday of the user of the portable terminal. The date when the user stayed in the area to be shown for a predetermined time or more is specified, and it is made to function as work day holiday specifying means for specifying the user's work day or holiday according to the specified date.

  The program of the present invention can be installed or loaded on a computer through various recording media such as an optical disk such as a CD-ROM, a magnetic disk, and a semiconductor memory, or via a communication network. .

  Further, in this specification and the like, the term “means” does not simply mean a physical means, but includes a case where the functions of the means are realized by software. Further, the function of one means may be realized by two or more physical means, or the functions of two or more means may be realized by one physical means.

  ADVANTAGE OF THE INVENTION According to this invention, the technique which can specify the working day of the user of a terminal device can be provided.

It is a block diagram which shows schematic structure of an information processing system. It is a figure explaining an example of basic mesh data. It is a figure explaining an example of daily mesh data. It is a figure explaining the time allocation between positioning points. It is a figure explaining an example of the mesh data according to a period. It is a figure explaining the setting of an everyday zone. It is a figure which shows an example of a mesh group. It is a figure which shows an example of the time table of life time. It is a figure which shows an example of the data structure of positioning information DB, basic | foundation mesh data DB, and daily mesh DB. It is a figure which shows an example of the data structure of mesh DB classified by period, mesh group DB, and daily life area DB. It is a figure which shows an example of the data structure of action base DB and life time zone DB. It is a figure which shows an example of the data structure of facility information DB, action pattern DB, work day DB, and user information DB. It is a block diagram which shows schematic structure of a portable terminal. It is a flowchart which shows an example of the flow of the whole work day specific process. It is a flowchart which shows an example of the whole flow of a life time zone specific process.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. However, the scope of the invention is not limited to these. The information processing system of the present embodiment determines the user's working day by using positioning information from the terminal, information on the user's behavior base of the terminal, information on the user's behavior pattern, and the like as necessary.

[1. Configuration of information processing system]
FIG. 1 is a block diagram illustrating an example of a schematic configuration of an information processing system according to the present embodiment. The information processing system 10 is connected to a mobile mobile terminal device (hereinafter referred to as “mobile terminal”) 20 via a network N.

  The information processing system 10 includes a main control unit 101, a communication unit 102, a positioning information storage unit 103, a basic mesh data generation unit 104, a mesh data generation unit 105 (daily mesh generation unit 106 (number of seconds stayed / number of positioning counts 107). Distribution complementing means 108), period-specific mesh generating means 109), daily zone setting means 110, group processing means 111, action base mesh group specifying means 112, working day / holiday specifying means 113, life time zone specifying means 114, Positioning information DB 120, basic mesh data DB 121, daily mesh DB 122, period mesh DB 123, daily life DB 124, action base DB 125, mesh group DB 126, facility information DB 127, action pattern DB 128, work day DB 129, user information DB 130, and life time Mainly it includes various function realizing means such as a band DB131.

  The information processing system 10 is realized by using a dedicated or general-purpose server computer including a CPU, a memory such as a ROM and a RAM, an external storage device for storing various information, an input / output interface, a communication interface, and a bus connecting them. For example, when the CPU executes a predetermined program stored in a ROM or the like, it functions as each of the function realizing means. The information processing system 10 may be configured by a single computer or may be configured by a plurality of computers distributed on a network.

  The main control unit 101 controls the overall operation of the information processing system 10 and the operation of each unit described above. The communication means 102 is an interface for transmitting and receiving various types of information by communicating with the mobile terminal 20 via the network N. The communication unit 102 also functions as a reception unit that receives positioning information transmitted from the mobile terminal 20.

  The positioning information storage means 103 stores, for a plurality of users, positioning information transmitted from the user's portable terminal 20 in the positioning information DB 120. Although positioning information will be described later, a positioning point (coordinate information) where the current position of the mobile terminal 20 is positioned, a positioning time of the positioning point, positioning accuracy, and a user identification that uniquely identifies the user of the mobile terminal 20 Information (ID).

  Based on the positioning information stored in the positioning information DB 120, the basic mesh data generation unit 104 associates a positioning point, a positioning time (stay start time), and a positioning accuracy for each user and each positioning date with the corresponding mesh area of the map. Generate basic mesh data. The mesh area is a plurality of divided areas obtained by dividing the map based on the latitude and longitude, and the shape and size of the divided areas can be appropriately set according to specifications and designs. For example, the shape of the mesh region can be a region surrounded by a polygon such as a quadrangle, a hexagon, a rhombus, or a curve such as a circle. Further, for example, when the user wants to specify an area where he / she frequently stays, the size of the mesh area can be set large. On the other hand, when he / she wants to specify a store where the user frequently visits, the mesh area can be set small. Further, the size of the mesh area may not be constant. For example, the urban mesh may be made smaller (finer). You can also change the size of the mesh for each region based on demographic information (for example, make the mesh in a region with a large population smaller), or set the size based on city classification, residential land type, daily life information, etc. May be. The size may be set based on positioning information for a certain period (for example, August, weekday morning, etc.) or current positioning information. For example, it is conceivable to increase the mesh size when the number of users who have been measured during a certain period is small, or when the positioning accuracy of positioning information during a certain period is low. Even if there are many users who have measured the position during a certain period, it is desirable to increase the mesh size if the positioning accuracy is low. The mesh area corresponding to the positioning point means a mesh area to which the coordinate information of the positioning point belongs.

  FIG. 2 is a diagram for explaining how the basic mesh data is generated based on the positioning information stored in the positioning information DB 120. In the same figure, basic mesh data B1 in which a positioning point and a positioning time are associated with each mesh area is described as a user's action trajectory on the corresponding day for the positioning date (March 2010) of the user (Mr. A). ing. The generated basic mesh data is stored in the basic mesh data DB 121.

  Returning to FIG. 1, the mesh data generation unit 105 determines the number of positioning days and positioning within a predetermined period in each mesh region based on the basic mesh data stored in the basic mesh data DB 121 for a plurality of users who have received positioning information. The number of times, staying time, and mesh data reliability are calculated as action base parameters, and mesh data in which each mesh region and the acquired action base parameters are associated with each other is generated. The number of positioning days is the total number of days that positioning was performed in the corresponding mesh area within a predetermined period (the same day is not double-added) and indicates the number of days the user stayed in the corresponding mesh area. Is also referred to as “stay days”. The number of positioning times is the total number of times positioning has been performed in the corresponding mesh region within a predetermined period. The user's stay time is the total time that the user stayed in the corresponding mesh area within a predetermined period. In the present embodiment, since the stay time is expressed in seconds, this is also referred to as “stay seconds” hereinafter. The mesh data reliability is a value indicating the reliability of mesh data. Information other than stay days, positioning times, stay seconds, and mesh data reliability may be calculated as the behavior base parameters. The mesh data includes daily mesh data and period-specific mesh data, which will be described below.

  The daily mesh generation means 106 generates mesh data for each unit period including the number of positioning times, the number of stay seconds, and the mesh data reliability in each mesh region for each predetermined unit period for each user. The predetermined unit period is a minimum unit period for generating mesh data, and can be appropriately set according to specifications / designs such as “one day” and “half day”. In the present embodiment, “1 day” is set as the predetermined unit period, and hence the mesh data by unit period is hereinafter referred to as “daily mesh data”.

  FIG. 3 is a diagram for explaining how daily mesh data is generated based on basic mesh data stored in the basic mesh data DB 121. In the figure, mesh data M1 in which the number of stay seconds and the number of times of positioning are associated with each mesh area is described for the positioning date (2010/03/03) of the user (Mr. A). In this embodiment, the case where the number of positioning times and the number of staying seconds are calculated and associated for each mesh region has been described. However, only the number of positioning times or the number of staying seconds may be calculated and associated. The generated daily mesh data is stored in the daily mesh DB 122.

  Returning to FIG. 1, the daily mesh generation unit 106 specifically includes a staying seconds / positioning count totaling unit 107 and a distribution complementing unit 108.

  Based on the basic mesh data stored in the basic mesh data DB 121, the staying seconds / positioning number counting means 107 determines the number of positioning points at each mesh region, the number of seconds the user of the mobile terminal stays, and mesh data reliability. The degree is calculated for each predetermined unit period, and each mesh region is associated with the calculated number of positioning times, staying seconds, and mesh data reliability. The number of positioning times in each mesh area is calculated by summing the number of times positioning has been performed in the corresponding mesh area. The staying seconds in each mesh area is calculated by totaling the allocation time allocated to the corresponding mesh area by the distribution complementing means 108 described later. For example, the mesh data reliability is calculated by averaging the positioning accuracy of the positioning information associated with the corresponding mesh region.

  The distribution complementing means 108 selects the first positioning point and the second positioning point arranged next to the first positioning point on the time axis from the positioning points associated with the mesh region. The first positioning point is also called a pre-movement point, and the second positioning point is also called a post-movement point. Next, the time from the first positioning time of the first positioning point to the second positioning time of the second positioning point (hereinafter referred to as “time between positioning points”), the second positioning point, and the first positioning point (Hereinafter, referred to as “distance between positioning points”). Then, an allocation condition is determined based on the time between the positioning points and the distance between the positioning points, and the time between the positioning points is set on the movement path from the first positioning point to the second positioning point according to the determined allocation condition. Allocate to the mesh area (including the first mesh area of the first positioning point and the second mesh area of the second positioning point). The allocation includes allocation of 0 hours. In this case, the allocation is substantially the same as not allocation.

  The distribution conditions can be set as appropriate according to the specifications and design, and there is no particular limitation on the contents thereof, but in this embodiment, according to the transmission conditions and configuration of positioning information from the mobile terminal, as follows: Allocation conditions are set. Specifically, the portable terminal 20 in the present embodiment transmits positioning information to the information processing system 10 at a predetermined transmission time interval (for example, 5 minutes). If the user does not move, the reason for saving power consumption, etc. Is configured not to transmit positioning information. That is, when the user is in the radio wave range, the positioning information from the mobile terminal 20 is transmitted at a predetermined transmission time interval only when the user is moving. Therefore, the user's stay at the first positioning point, which is the point before moving, is the time obtained by excluding the moving time from the time between the positioning points between the first positioning time and the second positioning time (hereinafter referred to as “time after moving time subtraction”). Therefore, the movement time subtracted time is allocated to the mesh area of the first positioning point.

  Next, when it is possible to estimate the user's movement content (moving means and movement route) between the first positioning point and the second positioning point (when there is continuity between the first positioning point and the second positioning point) ) Distributes the movement time substantially evenly to the mesh region located on the estimated movement path (hereinafter referred to as “estimated movement path”) from the first positioning point to the second positioning point (first distribution). conditions). That is, the staying seconds are complemented for the mesh region on the estimated movement route. On the other hand, when the user's movement content between the first positioning point and the second positioning point cannot be estimated (when there is no continuity between the first positioning point and the second positioning point), the mesh area of the movement time No allocation is made (0 hours are allocated) (second allocation condition). That is, the number of seconds staying in the mesh area is not complemented.

  The method for determining whether or not the movement content can be estimated can be appropriately set according to the specification and design, and the content thereof is not particularly limited. For example, the time between positioning points and / or the distance between positioning points is a predetermined reference time. If it is less than the distance and / or less than the predetermined reference distance, it is assumed that the movement path of the user can be estimated by assuming that the movement is by walking or the like. On the other hand, when it is not less than the predetermined reference time and / or less than the predetermined reference distance, it can be assumed that the user's movement route cannot be estimated by considering that the movement is, for example, when using the subway.

  In addition, the calculation method of the travel time can be appropriately set according to the specification and design, and the content thereof is not particularly limited. For example, a method of using a transmission time interval of the mobile terminal 20 or a distance between positioning points And a method of calculating the travel time from a predetermined speed according to the travel means (eg, train, car, walk). In the present embodiment, in the case of the first distribution condition, the transmission time interval (for example, 5 minutes) of the positioning information in the mobile terminal 20 is set as the travel time. In the case of the second distribution condition, the travel time from the first positioning point to the second positioning point is calculated based on the distance between the positioning points and a predetermined speed (for example, 30 km) set in advance. Note that the predetermined hourly speed can be appropriately set according to the estimated moving means and the like. For example, for the first distribution condition, the traveling time may be calculated using the hourly walking speed.

  Also, the method for specifying the movement route can be set as appropriate according to the specification and design, and the content thereof is not particularly limited. In the present embodiment, however, the connection is made by connecting the first positioning point and the second positioning point. Represents the travel route. In FIG. 4A, the connection is shown as a straight line, but the connection is not limited to a straight line, and has, for example, a shape along an arbitrary movement route estimated according to a road, a route, a building, or the like. be able to. Further, among the mesh regions located on the connection, mesh regions other than the mesh regions of the first positioning point and the second positioning point are referred to as complementary mesh regions.

  In addition, since the daily mesh generation means 106 manages the positioning information for each predetermined unit period, when the first positioning point and the second positioning point cross the day (for example, the reference time (e.g., 0: 00/24 When)). That is, the first positioning point (hereinafter referred to as “first positioning point”) and the last positioning point (hereinafter referred to as “last positioning point”) in the unit period before the movement to be combined. A positioning point or a post-movement positioning point belongs to another day.

  Therefore, in the present embodiment, as the third distribution condition, for the first positioning point, since the corresponding pre-movement positioning point belongs to another day, the time from the reference time (for example, 0:00) to the positioning time of the first positioning point. The time is allocated as the staying seconds to the mesh area of the first positioning point. For the last positioning point, since the corresponding post-movement positioning point belongs to another day, the time from the positioning time of the last positioning point to the reference time (for example, 24:00) is displayed in the mesh area of the last positioning point. To distribute. In the third distribution condition, the maximum time allocated to the mesh area can be set, and the content thereof is not particularly limited, but in the present embodiment, a maximum of 6 hours is set.

  FIG. 4A is a diagram illustrating a state in which the staying seconds are distributed according to the first distribution condition. In the figure, first, the travel time obtained by subtracting the travel time (5 minutes) from the time between the positioning points between the first positioning point and the second positioning point (9: 40-9: 30 = 10 minutes). The subtracted time (5 minutes (300 seconds)) is distributed to the mesh area of the first positioning point. Next, in order to supplement the stay time in the mesh area between the first positioning point and the second positioning point, the movement time (5) is set to the six mesh areas located on the connection between the first positioning point and the second positioning point. Minute) is distributed approximately evenly (50 seconds each).

  FIG. 4B is a diagram for explaining a state in which the staying seconds are distributed according to the second distribution condition. In the figure, first, the travel time (20 minutes) between the first positioning point and the second positioning point is calculated from the distance between positioning points (10 km) and a predetermined speed (eg, 30 km / hour). The movement time subtracted time (100 minutes) obtained by subtracting the movement time (20 minutes) from the interval time (11: 30-9: 30 = 120 minutes) is allocated to the mesh area of the first positioning point. Yes. Here, since the mesh region located between the first positioning point and the second positioning point is not complemented, the travel time is not allocated.

  FIG. 4C is a diagram illustrating a state in which the staying seconds are distributed according to the third distribution condition. In the figure, the first positioning point (positioning time 7:30) is allocated 6 hours as the maximum time, and the last positioning point (positioning time 23:30) is from the positioning time to 0:00. 30 minutes are allocated.

  Next, returning to FIG. 1, the period-specific mesh generation means 109 will be described. The period-specific mesh generation means 109 totals the number of positioning times, the number of stay seconds, and the number of stay days included in the daily mesh data for each predetermined count period, and average reliability that is an average value of mesh data reliability per day. The degree of positioning is determined, and the mesh data for each period (hereinafter referred to as “mesh data for each period”) in which each mesh region is associated with the number of times of positioning, the number of stay seconds, the number of days of stay, and the average reliability obtained by the aggregation or averaging. Is generated. The predetermined counting period can be set as appropriate according to the design and specifications, and the contents of the period are not particularly limited. For example, the counting period such as the latest 7 days, the latest 30 days, the latest 180 months, the latest 365 days, etc. Can be set. A plurality of total periods may be set at the same time.

  In addition, if mesh data by period already exists, the daily mesh data for the date to be newly added (for example, the latest positioning date) and the date to be subtracted (for example, the oldest positioning date in the existing counting period) Read from the daily mesh DB 122 and add the stay seconds, positioning times, stay days for the additional target day for each mesh area, while subtracting stay seconds, positioning times, stay days for the subtraction target day for each mesh area To do. The average reliability is calculated by multiplying the already existing average reliability by the number of days for the total period, and adding the mesh data reliability for the additional target day to the total for the period. The period total is updated by subtraction, and an average value per day in the target aggregation period is obtained based on the updated period total. FIG. 5 is a diagram for explaining how the period-specific mesh data is generated from the daily mesh data. This figure shows a state in which the number of stay seconds, the number of positioning times, the number of stay days, and the average reliability are associated with each mesh region in the mesh data by period M6 generated from the daily mesh data M5.

  The daily mesh generation means 106 and the period mesh generation means 109 may create mesh data using the positioning accuracy included in the positioning information. For example, when creating daily mesh data according to the positioning accuracy, the staying seconds / positioning count totaling means 107 uses only the basic mesh data with high positioning accuracy, and uses the positioning count, staying seconds, staying days, mesh data. Reliability can be calculated. On the other hand, daily mesh data may be created using all basic mesh data regardless of positioning accuracy.

  The daily area setting unit 110 extracts a mesh area in which a combination of at least two of the number of positioning times, the number of staying seconds, and the number of staying days included in the mesh data for each period is equal to or greater than a predetermined threshold value. Set the daily life zone.

  FIG. 6 is a diagram for explaining the setting of the daily sphere based on the period-specific mesh data. In the figure, when a mesh area that matches the condition of “stay time is 300 minutes or more and stay days is 3 days or more” is extracted from the mesh data M7 of the most recent 30 days, A case is shown in which the daily sphere is set by extracting a mesh area that matches the condition “stay time is 60 minutes or more and stay days are 2 days or more” from the mesh data M8 of the day. As shown in the figure, the daily life area may include various places such as a user's main base of action, home, work place, transfer station road on a commute route, and a store at a destination.

  Returning to FIG. 1, the group processing unit 111 will be described. The group processing unit 111 executes mesh grouping processing and group-specific calculation processing for at least one of a plurality of users who created mesh data. In the mesh grouping process, mesh areas satisfying a predetermined connection relationship are grouped for mesh areas included in the daily life.

  When the GPS positioning accuracy of the mobile terminal 20 is low, there is a possibility that the mesh area adjacent to the mesh area where the user is actually located is measured as the current position. For this reason, in this embodiment, mesh regions that satisfy a predetermined connection relationship are grouped and processed. The “predetermined connection relationship” can be set as appropriate according to the specifications and design. For example, at least a part of the mesh region is in contact (if the vertices of different mesh regions are in contact, the sides of the mesh region are Including, but not limited to, a case where a predetermined number (for example, 1) of extraordinary sphere meshes are sandwiched between them.

  The grouped mesh region is referred to as “mesh group”. When there is no mesh area that satisfies the predetermined connection relationship, the mesh area is handled as one mesh group. FIG. 7A is a diagram for explaining grouping of mesh regions. In FIG. 9A, mesh data M11 indicates the daily sphere before grouping, and mesh data M12 indicates the daily sphere after grouping.

  The group-specific calculation process targets at least one mesh group composed of one or a plurality of mesh regions, and calculates the group stay days, the group stay seconds, and the group positioning times as the group action base parameters. Mesh group data in which the calculated group stay days, group stay sickness, and group positioning count are associated with the mesh group is generated.

  The number of stays by group is the sum of the stay days of all mesh areas in the same mesh group in the aggregation target period (however, duplicate days are not double-added), or all meshes in the same mesh group in the aggregation target period It can be the maximum number of stays in the region. The group stay seconds are the sum of the stay seconds of all mesh areas in the same mesh group in the aggregation target period, or the maximum of the stay seconds of all mesh areas in the same mesh group in the aggregation target period. Dwell time. The positioning count by group is the total positioning count of all mesh areas in the same mesh group in the aggregation target period, or the maximum positioning count among the positioning counts of all mesh areas in the same mesh group in the aggregation target period. It can be. FIG. 7B shows an example in which the staying time per group and the staying time per group are calculated.

  Next, the behavior base mesh group specifying unit 112 specifies a behavior base mesh group from the mesh group on condition that the mesh group that generated the mesh group data satisfies a predetermined calculation condition.

  Specifically, first, it is determined whether or not there is a mesh group satisfying a predetermined calculation condition in the mesh group. If the determination result is negative, in principle, the user's action base is unknown. The process ends. Details of the predetermined calculation condition will be described later. On the other hand, if the determination result is correct, the action base mesh group specifying process is executed.

  The action base mesh group identification process identifies the mesh group with the maximum number of days stayed by group, number of stays by group or number of positionings by group from the mesh groups as the action base mesh group, and is included in the action base mesh group. The mesh number (mesh number in the mesh group) of the mesh area to be stored is stored in the action base DB 125. For example, when the action base is “home”, the mesh group having the maximum “stay period by group” is selected as the “home mesh group”. On the other hand, when the action base is “work location”, the mesh group having the maximum “stay time per group” is selected as the “work location mesh group”.

  The work day holiday specifying means 113 specifies the work day and holiday of the user of the portable terminal 20 based on the mesh data, and stores the specified information in the work day DB 129. Although there are various methods for specifying work days and holidays, in this embodiment, (1) information on the mesh group (for example, work place mesh group) of the first place stored in the action base DB 125 is used. A method of specifying based on (2) a method of specifying based on job type information stored in the user information DB 130, and (3) a method of estimating and specifying the job type of the user will be described.

  First, regarding the identification method (1), a method for identifying a user's work day and holiday using a work location mesh group as the mesh group of the first place will be described. The work day / holiday specifying means 113 acquires the data of the mesh group (work place mesh group) whose action base is “work place” from the action base DB 125 and stores the acquired information on the work place mesh group and the daily mesh DB 122. Based on the information, the date when the user stayed in the work place mesh group for a predetermined time (for example, 4 hours) or more is specified. The work day / holiday specifying means 113 determines that the specified day is a work day, and determines other days as holidays. The reason for setting the day of stay for a predetermined time or more as the work day is to eliminate the case where the user stays in the work place mesh group for a short time on the holiday and determines that the day is a holiday.

  In the specifying method (2), the work day / holiday specifying means 113 stores information on the user's job type stored in the user information DB 130, information corresponding to the job type stored in the behavior pattern DB 128, and the daily mesh DB 122. Based on the stored information, the user's working day and holiday are specified. Specifically, the behavior pattern DB 128 stores information on facilities that are likely to stay during working hours for a certain job type. For example, when the occupation type is “taxi driver”, information such as “taxi stand”, “station front”, “airport”, etc. is stored as facilities that are likely to stay during working hours. When the occupation type is “sales”, information on facilities considered as customers, such as “office buildings” and “retail stores” is stored. When the occupation type is “truck driver”, information on facilities such as “warehouse” is stored. When the occupation type is “bus driver”, information on facilities such as “bus station” is stored. Information on various facilities is also stored in association with other occupations. The work day / holiday specifying means 113 determines that a day in which the time and the number of times the user stays per day in the facility indicated in the behavior pattern DB 128 corresponding to the user's occupation is equal to or greater than a predetermined threshold is a work day. The other day is determined as a holiday. Note that the movement speed between facilities may be taken into consideration in determining work days (for example, if a taxi driver is moving from a taxi stand at a vehicle speed, there is a high possibility of a work day).

  In the identification method (3), the work day / holiday identification unit 113 first estimates the job type of the user based on the information stored in the daily mesh DB 122 (or period mesh DB 123), the facility information DB 127, and the behavior pattern DB 128. To do. Specifically, the facility information DB 127 stores facility location information (for example, mesh numbers) and facility type information (for example, taxi ranks, office buildings, retail stores, etc.) in association with each other. The work day / holiday specifying means 113 obtains information on the stay time and the number of stays of the facility where the user stayed within a predetermined period (for example, one day) from the daily mesh DB 122 (or the mesh DB 123 by period) and the facility information DB 127. To do. The work day / holiday specifying means 113 acquires information on a facility having a high score (for example, a value obtained by multiplying the stay time and the number of stays) calculated from the information on the acquired stay time and the number of stays, and has a high degree of coincidence with the facility. Information on the occupation corresponding to the facility is acquired from the behavior pattern DB 128. The job type acquired in this way is the job type estimated by the user. The occupation type estimation method is not limited to this method, and any method can be used as long as it compares the behavior pattern specified from the mesh data of the user with the behavior pattern DB 128 and estimates the occupation type from the high degree of similarity of the behavior pattern. Such a method may be used. The work day / holiday specifying means 113 determines the user's work day and holiday based on the estimated job type by the same method as the specifying method (2) described above.

  The life time zone specifying means 114 refers to the basic mesh data DB 121, the behavior base DB 125, and the life time zone DB 131, and the user of the mobile terminal 20 has moved between the predetermined area and the time during which the user stayed in the predetermined area. Calculate time. The life time zone specifying means 114 then generates a time table (life time time table) that represents the state of the user's stay in the predetermined area or the movement between the predetermined areas in time series using the calculated time. And stored in the life time zone DB 131. In addition, the living time zone specifying unit 114 can generate a time table for a specific day, or can generate a representative time table for one day for a plurality of different days. Here, a typical time table for a day is a transition of a state on a plurality of different days (a state in which a user stays in a predetermined area or a state in which a user is moving between predetermined areas). It is the timetable which integrated and represented the transition of the typical state of one day in time series.

  First, a specific example of processing for generating a time table for a specific day will be described. The living time zone specifying unit 114 acquires information on the mesh number (or mesh number in the mesh group) of the action base from the action base DB 125 for the user who is the target of generating the time table of the life time. The life time zone specifying unit 114 acquires information on the stay start time and the stay end time from the basic mesh data DB 121 for the mesh corresponding to the acquired mesh number. The living time zone specifying means 114 calculates the stay time of the target user's action base and the travel time between the action bases from the acquired information of the stay start time and stay end time, and refers to the life time zone DB 131 to Data representing a change in the user's state (stay or movement) in time series is generated. From this data, a time table representing a state transition in a predetermined time zone (for example, 15 minutes) (hereinafter referred to as a time unit) is generated. When the time table is generated, if a plurality of states are included in the time zone of one time unit, the time table is generated so that the state with the longest time is the state of the time unit. Note that the shorter the time unit length, the more accurate the time table can be generated, but the length of the time unit is determined according to the positioning accuracy. For example, when the number of positioning is once every 5 minutes, it is appropriate that the length of the time unit is about 15 minutes.

  As a more specific example for generating the time table, for example, the action base DB 125 includes “work place” (first place), “home” (second place), and “frequent place” as action bases. ”(Place where frequency of stay is high in addition to home and work place) (third place) is stored. The living time zone DB 131 stores information such as “stay at home”, “stay at work place”, and “stay at frequent places” as the state of staying at each action base. Further, in the living time zone DB 131, “going to work” (first state) as a state of moving from “home” to “working place”, and “retirement” as a state of moving from “working place” to “home”. Information such as (second state) is stored. The life time zone specifying means 114 allocates time to each state using these information, the calculated stay time of the action base and the travel time between action bases, and determines the state for each time unit. Then, a time table representing the state transition in time series is generated and stored in the living time zone DB 131. Also, for example, even if there is a period of 5 minutes between “6:30” and “6:45” time units that have not stayed at home for 5 minutes, When the most time is allocated to a state, the time unit shows “stay at home”.

  Next, a specific example of processing for generating a representative time table for one day for a plurality of different days will be described. There are various methods for generating a representative time table for one day. In this embodiment, (1) a plurality of time tables for a plurality of different days are generated, and the generated plurality of time tables are displayed. A method of counting and generating a representative time table for one day, and (2) a method of generating one time table as a representative time table for one day using basic mesh data for a plurality of days. To do.

  In the generation method (1), first, the living time zone specifying unit 114 generates a plurality of time tables for a plurality of different days by the method described above. The life time zone specifying means 114 aggregates the plurality of time tables and generates a time table of representative daily life time for a plurality of days. Specifically, the life time zone specifying unit 114 compares a plurality of time tables to be counted for each corresponding time unit, and in each time unit, the time having the most state is the time unit state. Generate a table. The generated time table is stored in the living time zone DB 131 as a representative daily time table.

  For the generation method (2), first, referring to FIG. 8A, a process of allocating the stay time and travel time calculated using the basic mesh data for a plurality of days to each state for each time unit An example will be described. In FIG. 8A, for a plurality of days, meshes on which the user stayed on the 1st are shown in time series based on the basic mesh data. The life time zone specifying means 114 totals the basic mesh data shown in FIG. 8A across each date, and calculates the total time of staying time of each mesh in each time unit.

  Thereafter, the life time zone specifying means 114 determines “for each time unit based on the calculated total time of stay for each mesh in each unit and the data stored in the behavior base DB 125 and the life time zone DB 131. Allocate each status such as “stay at home” or “attendance”. Specifically, the mesh having the longest stay time in the time zone of each time unit is specified, and the action base corresponding to the specified mesh is specified with reference to the action base DB 125. A state assigned to the time unit from the identified action base is specified with reference to the living time zone DB 131 (described later with reference to FIG. 11C). In addition, the status indicating movement such as “attendance” is specified in consideration of the status assigned to the preceding and following time units (for example, the status of the previous time unit is “stay at home” and the status of the subsequent time unit) ) Is “stay at work”, the status of the time unit during that time is “attendance”).

  FIG. 8B shows an example of a time table of typical living hours in the morning generated using basic mesh data for a plurality of days (for 30 days) and stored in the living time zone DB 131. . In this example, as shown in “time zone”, a time table having a time unit of 15 minutes is shown. In addition, “total time (S)” in the figure shows the number of seconds allocated to each state for each time unit of stay time and travel time calculated using 30 days of basic mesh data. ing. For example, it is shown that “16200” seconds are allocated to the state of “staying at home” in the time zone of the time unit from “6:30” to “6:45”. This indicates that during the period of 30 days, the “stay at home” state between “6:30” and “6:45” was “16200” seconds. The state shown in this time table indicates a state in which the most time is allocated during a period of 30 days. Therefore, even if there is a day not staying at home for 5 minutes between “6:30” and “6:45” on one day, If the most time is allocated to the “stay at home” state, the time unit indicates “stay at home”.

  Moreover, the time table of typical life time produces | generates the time table of the typical life time of the day when the user of the portable terminal 20 is a working day, or the typical life time of the day which is a holiday. May be. Specifically, the life time zone specifying unit 114 uses the information on the user's work day or holiday stored in the work day DB 129 by the work day / holiday specifying unit 113, and represents the time of the typical life time for the work day. A table or a time table of representative life time for holidays can be generated.

  In the present embodiment, the living time zone specifying unit 114 calculates the time spent in the area having the action base indicated in the action base DB 125 as a unit and the travel time between the areas, and generates a time table. However, the unit of the area is not limited to this. It is possible to set an area of various units according to the positioning accuracy, calculate the time spent in the area and the travel time between the areas, and generate a time table. For example, the area is set to have an arbitrary size of at least one of a home area including the user's home, a work area including the user's work place, and other high-frequency stay areas including other places with high stay frequency. can do.

  The time table of the user's life time generated as described above can be used for information distribution to the user, for example. Specifically, the life time zone specifying unit 114 refers to the time table stored in the life time zone DB 131 to specify when the information to be distributed is useful for the user when the information to be distributed is distributed, Information is distributed via the communication means 102 in the specified time zone. That is, the information distribution time is determined according to the content of the information and the time zone indicated in the time table. For example, route information of a commuting route may be distributed during a user's attendance time zone. Lunch information may be distributed during work hours during the daytime hours. Moreover, you may deliver bargain information in the time zone of going out of work.

  Next, the structure of each database will be described. Each database includes not only the secondary storage device but also a case where data is temporarily stored in a memory.

  The positioning information DB 120 stores positioning information transmitted from the mobile terminal 20. FIG. 9A shows an example of the data structure. According to the figure, the positioning information DB 120 stores data such as “positioning time”, “user ID”, “latitude”, “longitude”, “positioning accuracy” in association with the positioning information history. .

  The basic mesh data DB 121 stores the basic mesh data generated by the basic mesh data generating unit 104. FIG. 9B shows an example of the data structure. According to the figure, the basic mesh data DB 121 is associated with data such as “user ID”, “positioning date”, “mesh number”, “stay start time”, “stay end time”, and “positioning accuracy”. Stored. The “mesh number” stores identification information for uniquely identifying a mesh area.

  The daily mesh DB 122 stores the daily mesh data generated by the daily mesh generation means 106. FIG. 9C illustrates an example of the data structure. According to the figure, the daily mesh DB 122 is associated with data such as “user ID”, “positioning date”, “mesh number”, “stay time”, “number of times of positioning”, and “mesh data reliability”. Stored.

  The period-specific mesh DB 123 stores the period-specific mesh data generated by the period-specific mesh generation unit 109. FIG. 10A shows an example of the data structure. According to the figure, in the mesh DB 123 by period, “user ID”, “target period”, “mesh number”, “total stay time”, “total number of positioning times”, “total positioning days”, “average reliability” "Is stored in association with each other.

  The mesh group DB 126 stores mesh group data generated by the group processing unit 111. FIG. 10D shows an example of the data structure. According to the figure, the mesh group DB 126 stores data such as “user ID”, “target period”, “mesh number in mesh group”, “total stay time”, “total number of positioning times”, “total positioning days”, and the like. Are stored in association with each other.

  The daily area DB 124 stores data related to the daily area setting, and specifically includes daily area conditions used for setting the daily area and data of the set daily area.

  FIG. 10B is a diagram illustrating an example of the daily sphere conditions included in the daily sphere DB 124. Although the contents according to the specification design can be set in the daily sphere conditions, and there is no particular limitation, in the figure, the daily sphere types and conditions are stored in association with each other. Specifically, “Aggregation Period”, “Number of Stay Days”, and “Number of Stays” are set for Daily Area A, and “Target Count Period”, “Positioning Days”, and “Number of Stays” are set for Daily Area B. And “number of times of positioning” are set, and “daily counting period” and “stay days” are set in the daily life zone C. Further, for each item, an arbitrary period and the number of days, time, and number of times as a threshold are set for each type of daily area. As shown in the figure, the conditions for the daily life can be set according to the type of the daily life to be extracted. For example, if you place importance on the number of days you stay and do not consider the number of seconds to stay or the number of positioning, you can specify the daily area that mainly uses the commute route, and if you do not consider the number of days to stay with an emphasis on the number of stays It is possible to specify a daily life area that includes a place where the number of visits is small but stays long (eg, parents' home). In addition, if you set a long period for the target aggregation period, you can prevent the daily area from disappearing when you go on a long trip or a business trip, while if you set a short period for the target aggregation period, It can be easily identified.

  FIG. 10C is a diagram illustrating an example of a user's daily area included in the daily area DB 124. In the figure, for each user ID, “type of daily life” and “mesh number” are stored in association with each other. According to the figure, it can be seen that the mesh number of the set daily sphere differs depending on the type of daily sphere.

  The behavior base DB 125 stores data related to the behavior base detection process, and as shown in FIGS. 11A and 11B, an extraction condition table storing mesh group extraction conditions and each user are specified. And an action base data table for storing data related to the action base. As the mesh group extraction condition, a condition according to the characteristics of the action base can be set. In FIG. 11A, as an example, in the case of a home mesh group, “stay days by group is a predetermined number of days (n days ) And the number of stay seconds per group is equal to or greater than a predetermined number of seconds (m seconds). In the case of a work place mesh group, “the number of stay seconds per group is a predetermined number of days (x seconds ) And the number of stay days by group is greater than or equal to a predetermined number of days (y days). n is the minimum number of days stayed (eg, n is 20 days), m is the minimum length of stay (eg, m is 432000 seconds = 15 days × 8 hours × 60 minutes × 60 seconds), x is the minimum working days (eg, x is 234000 seconds = 13 days × 5 hours × 60 minutes × 60 seconds), and y is the minimum working time (for example, y is 13 days).

  In the action base data table, as shown in FIG. 11B, “user ID”, “type of action base”, “mesh number” of the action base, “date” specifying the action base, the action Data such as “mesh number in mesh group” corresponding to the base is stored as data of the action base.

  The facility information DB 127 stores data related to the location of the facility. FIG. 12A is a diagram illustrating an example of a data structure of the facility information DB 127. According to the figure, the facility information DB 127 stores data such as “facility ID”, “mesh number”, “facility type”, “name”, and “address” in association with each other. The “mesh number” is information for uniquely identifying the mesh area where the facility is located.

  The behavior pattern DB 128 stores, as behavior pattern data, data on facilities that are likely to stay during work hours for each occupation. FIG. 12B is a diagram illustrating an example of the data structure of the behavior pattern DB 128. According to the figure, the behavior pattern DB 128 stores data such as “pattern ID”, “job type”, “facility type 1”, “facility type 2”, and “movement speed” in association with each other. “Pattern ID” is information for uniquely identifying a behavior pattern. Even in the same occupation, there may be a plurality of behavior patterns (for example, even in the case of sales, the behavior pattern differs depending on which industry belongs), and therefore the behavior pattern DB 128 has one occupation type. A plurality of behavior pattern data can be stored.

  The work day DB 129 stores data on work days and holidays of the user of the mobile terminal 20. FIG. 12C is a diagram illustrating an example of the data structure of the work day DB 129. According to the figure, the work day DB 129 stores data such as “user ID”, “date”, “working time”, and “working type” in association with each other. In this example, the work day DB 129 stores, for each day, data indicating whether the day is a user's work day or a holiday. Data is stored as a working day when the working time is a predetermined time (for example, 4 hours) or more and as a holiday on the other day. Note that the data shown in the figure can be aggregated for each user, data related to work days such as regular holidays and weekly holidays of the user can be specified, and the data can be stored in the work day DB 129. For example, the number of holidays can be tabulated for each day of the week, and the day of the week that has been a holiday 8 times or more in 10 weeks can be specified as a regular holiday.

  The user information DB 130 stores data related to the user of the mobile terminal 20 that has been input to the information processing system 10 in advance. FIG. 12D is a diagram illustrating an example of a data structure of the user information DB 130. According to the figure, the user information DB 130 stores data such as “user ID”, “name”, “telephone number”, “job type”, and “mail address” in association with each other.

  The life time zone DB 131 stores data of a master table for specifying the life time zone of the user of the mobile terminal 20 and data of a time table of the specified life time. FIG. 11C is a diagram illustrating an example of a master table for specifying a life time zone. According to the figure, data such as “state ID”, “state”, “area before moving”, “area after moving” are stored in association with each other in this master table. According to this master table, it is possible to specify the state of the user when staying in a predetermined area or moving between predetermined areas. FIG. 8A is a diagram illustrating an example of data in a time table of life time. The explanation for this figure is as described above.

[2. Configuration of mobile terminal]
Returning to FIG. 1, the mobile terminal 20 will be described. As the mobile terminal 20, for example, a conventional terminal device having a function of uploading positioning information obtained by measuring the current position at predetermined time intervals using GPS such as a mobile phone, a PDA, and a personal computer can be applied. Although one mobile terminal 20 is illustrated in FIG. 1, a plurality of mobile terminals 20 can be connected to the information processing system 10 according to the usage mode.

  As shown in FIG. 13, the portable terminal 20 includes various function realizing means such as a main control means 201, a communication means 202, a display means 203, an operation means 204, a storage means 205, a current position positioning means 206, and a positioning information transmission means 207. Prepare for the main.

  The main control unit 201 includes a CPU (not shown) and a processor including a memory such as a ROM and a RAM, and controls the operation of each unit of the portable terminal 20 by the CPU executing a predetermined program stored in the ROM. . The communication unit 202 is an interface for transmitting and receiving various types of information to and from the information processing system 10 via the network N. The display unit 203 is a display that displays information such as characters and images, and the operation unit 204 is a button or a touch panel that receives an operation instruction from the user. The storage unit 205 is a memory as a storage device that stores various programs and data.

  The current position positioning means 206 includes, for example, a GPS receiver, and measures the current position (latitude / longitude) of the mobile terminal 20 by receiving and processing GPS satellite signals at predetermined reception intervals.

  The positioning information transmitting unit 207 transmits positioning information including the positioning point, the positioning time, and the positioning accuracy measured by the current position positioning unit 206 and the user ID of the user who owns the mobile terminal 20 to the information processing system 10. . The positioning information can be appropriately set according to the specification / design. However, as described above, in this embodiment, when the user is moving, the positioning information is transmitted according to a predetermined transmission interval. It is configured as follows. Whether or not the user is moving can be determined, for example, by applying a conventional technique using an acceleration sensor (not shown).

  The network N is a communication line for transmitting and receiving information between the information processing system 10 and the mobile terminal 20. For example, it may be any of the Internet, a LAN, a dedicated line, a packet communication network, a telephone line, a corporate network, other communication lines, combinations thereof, and the like, regardless of whether they are wired or wireless.

[3. Operation of information processing system]
Next, an outline of the operation of the information processing system 10 configured as described above will be described with reference to the flowcharts of FIGS. 14 and 15. In addition, each processing step to be described later can be executed in any order or in parallel as long as there is no contradiction in processing contents, and other steps may be added between the processing steps. . Further, a step described as one step for convenience can be executed by being divided into a plurality of steps, while a step described as being divided into a plurality of steps for convenience can be grasped as one step.

[3-1. Work day identification process]
With reference to FIG. 14, the work day specifying process will be described. FIG. 14 is a flowchart illustrating an example of the overall flow of work day identification processing. This process is a process of specifying the work day or holiday of the user of the mobile terminal 20 and storing the specified data in the work day DB 129.

  First, in step S101, the work day / holiday specifying unit 113 refers to the behavior base DB 125 and determines whether data of a work place mesh group (mesh group of the first place) is stored for the target user.

  When the data of the work place mesh group is stored, in step S102, the work day / holiday specifying means 113 refers to the daily mesh DB 122 and for each date, the target user stays in the work place mesh group per day. Identify time.

  In step S <b> 103, the work day / holiday specifying unit 113 specifies, as a work day, a day in which the time per day spent in the work place mesh group is equal to or longer than a predetermined time (for example, 4 hours). That is, the work day / holiday specifying means 113 works on the day when the time per day the user stays in the area designated as the work place of the user of the mobile terminal 20 based on the positioning information. Specify as day. An arbitrary value can be set as the threshold of this time used for determining whether it is a working day.

  In step S104, the work day holiday specifying means 113 specifies a day other than the day specified as the work day as a holiday, and stores the specified data in the work day DB 129. FIG. 12C shows an example of data stored in the work day DB 129. Further, as described above, the work day / holiday specifying means 113 aggregates data for each user, specifies data related to the work day such as the regular holiday of the user and the number of weekly holidays, and stores the data in the work day DB 129. You can also

  If it is determined in step S101 that the data on the work location mesh group is not stored, in step S105, the behavior base mesh group specifying unit 112 performs processing for specifying the work location mesh group of the target user. Details of the processing are as described above. That is, the behavior base mesh group specifying unit 112 specifies the work location of the user as the behavior base mesh group based on the number of stays of the user of the mobile terminal 20 in a certain area and the stay time per day.

  Next, in step S106, the work day holiday specifying unit 113 determines whether the work place mesh group is specified in step S105. If specified, the process proceeds to step S102. If not specified, the process proceeds to step S107.

  In step S107, the work day / holiday specifying unit 113 refers to the user information DB 130 to determine whether or not the job type data of the target user is stored. If stored, the process proceeds to step S108. If not stored, the process proceeds to S110.

  In step S108, the work day / holiday specifying means 113 acquires job type information from the user information DB 130 for the target user, or acquires the job type information estimated in step S110. The work day / holiday specifying means 113 acquires action pattern data corresponding to the job type from the action pattern DB 128, and analyzes the data of the daily mesh DB 122 using the acquired action pattern data. Specifically, the work day / holiday specifying means 113 specifies the time and the number of times the user stayed per day in the facility indicated in the behavior pattern data. That is, in the present embodiment, the facility indicated in the action pattern data is an area determined based on the occupation information of the user. Further, in this step, the work day / holiday specifying means 113 refers to the basic mesh data DB 121 and specifies the number of movements in which the speed at which the user moves between the facilities is equal to or higher than the movement speed indicated in the action pattern data. May be.

  In step S109, the work day / holiday specifying unit 113, based on the processing result of step S108, has a total stay time of a user staying at a plurality of facilities indicated in the behavior pattern data per day over a predetermined threshold. Determine the day is a working day. Alternatively, the work day / holiday specifying means 113 calculates a score for the time and number of times of staying at the facility based on a predetermined criterion (for example, multiplying the total staying time by the number of times, or at other facilities) For example, the difference between the stay time and the average of the number of times is calculated), and the calculated score may be determined as the user's working day. Moreover, you may add as conditions for determining with it being a working day that the frequency | count of a movement specified by step S108 is more than a predetermined threshold value.

  If the job type data of the target user is not stored in step S107, in step S110, the work day / holiday specifying means 113 first selects the facility where the user stayed within a predetermined period (for example, one day). Information on the stay time and the number of stays is acquired from the daily mesh DB 122 (or the mesh DB 123 by period) and the facility information DB 127. The work day / holiday specifying means 113 acquires information on a facility having a high score (for example, a value obtained by multiplying the stay time and the number of stays) calculated from the information on the acquired stay time and the number of stays, and has a high degree of coincidence with the facility. Information on the occupation corresponding to the facility is acquired from the behavior pattern DB 128. The work day / holiday specifying means 113 estimates the job type acquired in this way as the job type of the user. Thereafter, the process proceeds to step S108, and the user's behavior is analyzed.

  As described above, according to the present embodiment, first, the area storage means (the behavior base DB 125, the facility information DB 127, the behavior pattern DB 128, etc.) in the information system 20 specifies the work day or holiday of the user of the mobile terminal 20. Information on the area used for this purpose is stored. Based on the positioning information, the information processing system 20 specifies the day when the user stayed in the area indicated by the information stored in the area storage unit for a predetermined time or more, and the user's working day according to the specified date Or specify holidays. As a result, the working day and holiday of the user of the mobile terminal 20 can be specified, and in the service using GPS, the service is provided in consideration of whether the user of the mobile terminal 20 is a working day or a holiday. can do.

[3-2. Life time zone specific processing]
With reference to FIG. 15, the life time zone specifying process will be described. FIG. 15 is a flowchart illustrating an example of the entire flow of the life time zone specifying process. This process calculates the time when the user of the mobile terminal 20 stayed in a predetermined area and the time when the user moved between the predetermined areas, and based on the calculated time, the time table of the user's life time is calculated. It is a process to generate. Here, a method for generating a representative time table for the above-mentioned day (1) (generating a plurality of time tables for a plurality of different days, summing up the generated plurality of time tables, and representing a representative one day A method for generating a time table will be described as an example.

  First, in step S <b> 201, the life time zone specifying unit 114 acquires information on the mesh number (or mesh number in the mesh group) of the action base from the action base DB 125 for the user whose life time time table is to be generated. . The life time zone specifying unit 114 acquires information on the stay start time and the stay end time from the basic mesh data DB 121 for the mesh corresponding to the acquired mesh number. The living time zone specifying unit 114 uses the information on the acquired stay start time and stay end time, and after the time when the target user stays at the action base (first action base) and after the stay at the action base ends. The time until the start of the stay at the action base (second action base) (movement time between action bases) is calculated. That is, the life time zone specifying unit 114 calculates the time that the user of the mobile terminal 20 stayed in a predetermined area and the time that the user moved between the predetermined areas based on the positioning information.

  In step S202, the life time zone specifying unit 114 refers to the life time zone DB 131 and allocates the time calculated in step S201 to the above time units for each state as shown in FIG. 11C. Thus, the state for each time unit is determined, and a one-day time table for a specific date is generated and stored in the living time zone DB 131.

  Specifically, the living time zone specifying unit 114 acquires information on the mesh number (or mesh number in the mesh group) of the action base from the action base DB 125 for the user who is the target of generating the time table of the life time. The life time zone specifying unit 114 acquires information on the stay start time and the stay end time from the basic mesh data DB 121 for the mesh corresponding to the acquired mesh number. The life time zone specifying unit 114 calculates the stay time of the target user's action base and the travel time between the action bases from the acquired information of the stay start time and the stay end time. The life time zone specifying unit 114 refers to the life time zone DB 131 and generates data representing changes in the state (stay or movement) in time series. From this data, a time table representing a state transition for each time unit is generated. When the time table is generated, if a plurality of states are included in the time zone of one time unit, the state having the longest time is determined as the state of the time unit, and the time table is generated.

  In step S203, the life time zone specifying unit 114 aggregates the plurality of time tables generated for a plurality of different days in step S202, and generates a time table of representative life time for the plurality of days. Store in the time zone DB 131. Specifically, the living time zone specifying unit 114 compares the plurality of time tables generated in step S202 for each time unit, and sets the most frequent state in each time unit as the state of the time unit. Is generated.

  In the example of FIG. 15, a method has been described in which a plurality of time tables for a plurality of different days are generated and the generated plurality of time tables are aggregated to generate a representative time table for one day. As described above, the method for generating a representative time table for one day is not limited to this. For example, as described above as the generation method (2), it is possible to generate one time table as a representative time table for one day using basic mesh data for a plurality of days.

  In addition, the life time zone specifying unit 114 uses the user's work day or holiday information stored in the work day DB 129 to represent a typical life time table for the work day or a typical life about the holiday. A time table of hours may be generated. By generating the time table in this way, it is possible to generate a time table of representative life time by a method more in line with the actual life of the user.

  In addition, when generating such a time table, you may perform the process which considered that it is a working day or a holiday. For example, states such as “staying at work place” and “going to work” cannot be taken on holidays. Therefore, even when the user stays in the work area for a long time, in the case of a holiday, the time table may be generated so that the states such as “stay at work” and “go to work” do not appear. .

  As described above, according to the present embodiment, the life time zone of the user of the terminal device 20 can be specified. As a result, in the service using GPS, it is possible to provide a service that is more useful to the user in consideration of whether the user of the mobile terminal 20 is a working day or a holiday.

  The mobile terminal 20 downloads the time table stored in the life time zone DB 131 from the information processing system 10, and the mobile terminal 20 uses the time zone indicated by the time table (that is, the time zone by the life time zone specifying unit 114). It is good also as performing operation according to the state determined every). For example, the mobile terminal 20 can perform an operation of sounding an alarm for alarming one hour before the commuting time starts. Moreover, the portable terminal 20 may perform the operation | movement which displays the information of a commuting route in the time zone of commuting. By performing such processing, the mobile terminal 20 can perform operations with higher usability.

[Other Embodiments]
The present invention is not limited to the above-described embodiment, and can be implemented in various other forms without departing from the gist of the present invention. The above-described embodiment is merely an example in all respects, and is not construed as limiting.

  DESCRIPTION OF SYMBOLS 10 ... Information processing system, 20 ... Portable terminal, 101 ... Main control means, 102 ... Communication means, 103 ... Positioning information storage means, 104 ... Basic mesh data generation means, 105 ... Mesh data generation means, 106 ... Daily mesh generation means, 107 ... Stay seconds / position count counting means, 108 ... Distribution complementing means, 109 ... Period-specific mesh generation means, 110 ... Daily zone setting means 111. Group processing means 112 112 Action base mesh group specifying means 113 113 Work day / holiday specifying means 114 114 Life time zone specifying means 120 -Positioning information DB, 121 ... Basic mesh data DB, 122 ... Daily mesh DB, 123 ... Period mesh DB, 124 ... Daily zone DB, 125 ... Row Base DB, 126 ... Mesh group DB, 127 ... Facility information DB, 128 ... Action pattern DB, 129 ... Working day DB, 130 ... User information DB, 131 ... Life time zone DB, 201 ... main control means, 202 ... communication means, 203 ... display means, 204 ... operation means, 205 ... storage means, 206 ... current position positioning means, 207 ... .Positioning information transmission means, N ... network

Claims (7)

Area storage means for storing information of an area used for specifying a work day or holiday of a user of the mobile terminal;
Job type information acquisition means for acquiring the job type information of the user;
Based on the positioning information, the date when the user stayed in the area indicated by the information stored in the area storage means for a predetermined time or more is specified, and the work day or holiday of the user is specified according to the specified date Means to identify working days and holidays,
With
The work day / holiday specifying means calculates a total stay time by the user in a plurality of areas indicated by the information stored in the area storage means based on the positioning information, and is determined based on the acquired job type information. An information processing system that identifies a day on which the total stay time for a given area is a predetermined time or more as a working day of the user.   The information processing system according to claim 1, wherein the area storage unit stores information on an area designated as a work place of the user. Based on the number of stay days and the stay time per day for the user in a certain area, the work place specifying means for specifying the user's work place is provided,
The information processing system according to claim 1, wherein the area storage unit stores information on a work place specified by the work place specifying unit.   The information processing system according to any one of claims 1 to 3, wherein the working day holiday specifying unit specifies a day other than the day specified as the working day as a holiday.   5. The apparatus according to claim 4, further comprising a fixed holiday specifying unit that totals holidays specified by the work day / holiday specifying unit for each user and specifies a day of a regular holiday of the user based on a result of the calculation. The information processing system described. A method implemented in an information processing apparatus including a control unit,
An area storing step for storing information on an area used for the control unit to specify a work day or a holiday of a user of the mobile terminal;
The control unit acquires job type information of the user, job type information acquisition step,
Based on the positioning information, the control unit specifies a date on which the user has stayed in the area indicated by the information stored in the area storage step for a predetermined time or more, and the user's work is determined according to the specified date. A work day / holiday identifying step for identifying a day or holiday, and
The work day / holiday specifying step calculates a total stay time by the user in a plurality of areas indicated by the information stored in the area storage step based on the positioning information, and is determined based on the acquired job type information. The information processing method characterized by specifying the day when the said total stay time about the given area is more than predetermined time as a working day of the said user. Computer
Area storage means for storing area information used for specifying a work day or holiday of a user of a portable terminal;
Job type information acquisition means for acquiring job type information of the user,
Based on the positioning information, the date when the user stayed in the area indicated by the information stored in the area storage means for a predetermined time or more is specified, and the work day or holiday of the user is specified according to the specified date Work day holiday identification means,
Function as
The work day / holiday specifying means calculates a total stay time by the user in a plurality of areas indicated by the information stored in the area storage means based on the positioning information, and is determined based on the acquired job type information. A program for specifying a day on which the total stay time for a given area is a predetermined time or more as a working day of the user.