JP2013235349A - Information processing system, and information processing method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique by which a highly accurate detection result can be obtained in detecting information relating to a specific place.SOLUTION: An information processing system includes: logic storage means for storing a plurality of logics for detecting information relating to a first place; information acquisition means for acquiring position information; selection means for selecting at least one of the plurality of logics on the basis of the position information; and detection means for detecting the information relating to the first place with at least one of the selected logic or logics.

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 positioned using GPS.

  Various services using GPS are provided. As an example of such a service, the following Patent Document 1 includes means for setting information related to electronic mail and a transmission point on a route, means for calculating the current vehicle position of the vehicle, and the calculated vehicle position. A navigation device having means for monitoring whether or not the set transmission point has been reached and transmission means for transmitting the set e-mail when the vehicle position has reached the transmission point is disclosed. Yes.

JP 2000-285382 A

  By the way, with the rapid spread of mobile terminals, the Internet, navigation systems, etc., the use of GPS is expanding in various scenes. As a result, among users such as mobile terminals equipped with a GPS function, there is an increasing need for improving the convenience of services using GPS. For example, as an example of a service that uses the GPS function of a mobile terminal, when the current position of the mobile terminal is periodically measured and the current position that has been measured approaches a destination set in advance by the user, that fact is indicated. There are known services for notifying a user and providing information related to the destination.

  Here, the inventor of the present invention provides information related to a specific location (for example, the position of the target user's home based on the positioning information measured by the GPS function or the positional information obtained from information such as the base station and the access point). In the case of a single detection logic, environmental attributes (traffic environment, population density, etc.) of the specific location and user attributes (living environment, behavior pattern, birthplace, gender) It was difficult to respond flexibly to differences in age, etc.), and it was found that sufficient detection accuracy could not be obtained.

  Therefore, the present invention provides a technique capable of obtaining a highly accurate detection result by selecting and applying an appropriate detection logic from a plurality of detection logics when detecting information on a specific place. It is in.

  The information processing system according to the present invention includes a logic storage unit that stores a plurality of logics for detecting information related to the first place, an information acquisition unit that acquires position information, and a plurality of logics that are stored based on the position information. It is characterized by comprising selection means for selecting at least one and detection means for detecting information relating to the first location with the selected at least one logic.

  The position information is information related to the second place.

  Further, the information acquisition means acquires position information (information on the second place) based on the positioning information.

  Further, the first place or the second place is an action base of the target user. Alternatively, the first place or the second place is a visited place of the target user.

  The information on the first place or the information on the second place is congestion degree information.

  The plurality of stored logics include logic for detecting information on the first location using at least one of a positioning frequency parameter, a staying time parameter, and a positioning accuracy parameter.

  The information processing method of the present invention is an information processing method for detecting information related to a first location, which is executed by a computer, and includes a step of acquiring location information and logic for detecting information related to the first location. , Referring to a plurality of logic storage means, and selecting at least one of the plurality of stored logic based on the position information, and detecting information about the first location by the selected at least one logic And a detecting step.

  The program of the present invention is a program for causing a computer to execute an information processing method for detecting information about a first location, and a logic for detecting information about the first location and an instruction for acquiring location information. Referring to a plurality of logic storage means for storing, based on the position information, an instruction for selecting at least one of the plurality of stored logic and information on the first location is detected by the selected at least one logic And an instruction to perform.

  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.

  According to the present invention, it is possible to provide a technique capable of obtaining a highly accurate detection result by selecting and applying an appropriate detection logic from a plurality of detection logics when detecting information regarding a specific place. Can do.

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 explaining an example of an action base mesh group and an action base mesh. 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 a logic memory | storage means. It is a block diagram which shows schematic structure of a portable terminal. It is a flowchart which shows an example of the whole flow of an everyday sphere setting process. It is a flowchart which shows an example of the flow of a daily mesh data generation process. It is a flowchart which shows an example of the flow of a mesh data generation process according to a period, and a daily sphere setting process. It is a flowchart which shows an example of the whole flow of an action base detection process. It is a flowchart which shows an example of the whole flow of a home mesh group specific process. It is a flowchart which shows an example of the flow of the whole work place mesh group specific process. It is a flowchart which shows an example of the whole flow of an adaptive home detection process.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. The information processing system according to the present embodiment uses the positioning information from the terminal to detect information related to the action base (first place) of the target user. For example, the user's daily life zone (hereinafter referred to as “daily zone”) is automatically set using positioning information from the terminal, and the user's specific action base (for example, home) is set within the set daily zone. ) Position information is detected.

  As the logic for detecting the position of the user's action base, for example, it is conceivable to use the number of positioning times, the staying time, the positioning accuracy, etc. as parameters. And the user attribute cannot be handled, and there is a problem that the detection accuracy of the action base position is poor.

  Therefore, the inventor of the present invention examines a configuration for selecting an appropriate logic from a plurality of action base detection logics, and takes action according to information on a place (second place) other than the action base to be detected. It was discovered that the detection accuracy can be greatly improved when the site detection logic is selected. For example, when detecting the position of the home (first place) based on the positioning information, if the work place (second place) is close to the home, the work place where a lot of positioning information is acquired is confused with the home. The possibility of detection increases. Therefore, when information indicating that the work location is close to the home is obtained, the detection accuracy can be improved by selecting a home detection logic that employs a parameter that suppresses confusion with the work location. The present embodiment is based on such a technical idea.

[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 sphere setting means 110, group processing means 111, action base mesh group specifying means 112, action base detection means 113, logic storage means 124, action base information. It mainly comprises various function realizing means such as an output means 125, positioning information DB 114, basic mesh data DB 115, daily mesh DB 116, period mesh DB 117, daily area DB 118, action base DB 119, mesh group DB 123, and the like.

  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 114. 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 114, 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 114. 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 115.

  Returning to FIG. 1, the mesh data generation means 105 determines the number of positioning days and positioning within a predetermined period in each mesh area based on the basic mesh data stored in the basic mesh data DB 115 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 the basic mesh data stored in the basic mesh data DB 115. 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 116.

  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 115, 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 the 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 116 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. End the process. 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 119. 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”.

  Next, when detecting the “home” as the behavior base, the behavior base detection unit 113 detects at least one of the home detection logics stored in the logic storage unit 124 based on the identification result of the behavior base mesh group. The selected home detection logic is applied to the daily mesh data or the daily mesh data of the mesh area in the home mesh group to detect the home mesh (home position).

  In the present embodiment, each home detection logic is configured to include a detection condition based on at least one action base parameter among stay days, stay seconds, positioning times, and reliability. Specifically, the logic storage means 124 includes a first home detection logic with a condition of “detecting a mesh with the longest stay” and a second home detection logic with a condition of “detecting a mesh with the maximum reliability”. Home detection logic is stored.

  Note that these detection conditions and detection logic are merely examples. For example, there are various conditions depending on the action base to be detected, such as a condition in which two or more action base parameters are combined, and a condition for the behavior base likelihood calculated from the action base parameters. The detection logic can be configured by adopting conditions.

  Moreover, in this embodiment, the information regarding a work place is referred as information to be referred to when the home detection logic is selected. Specifically, the behavior base detection unit 113 selects the first home detection logic when the work place mesh group can be specified, and selects the second home when the work place mesh group cannot be specified. Select detection logic.

  As will be described later, in this embodiment, the mesh group specified as the home mesh group is excluded from the candidates for the work place mesh group. Therefore, when the home and the work place are close, if the mesh group including the work place is specified as the home mesh group, the work place mesh group is not specified. Therefore, in this embodiment, when the work place mesh group cannot be specified, it is assumed that the work place may be close to the home, and the second home detection logic that places importance on reliability in order to suppress confusion between the two is presumed. Select. On the other hand, when the work location mesh group can be specified, the first home detection logic that emphasizes the number of stay days is selected.

  The home detection logic selection criteria are not only based on whether or not the work location mesh group can be identified, but also based on various information related to the work location that can affect the home detection logic, for example, the work location mesh It is possible to adopt a criterion based on whether the group is close to the home mesh group, whether the work place mesh group and the home mesh group are connected by the same route or road, and the like. Alternatively, a plurality of detection logics may be selected, and the results may be combined by a logical operation to detect a home mesh.

  8A and 8B show that the home mesh group is identified from the mesh groups, and the first home detection logic and the second home described above in the mesh data according to the period of the mesh region in the home mesh group. An example in which a home mesh is detected by applying each detection logic is shown.

  The action base information output unit 125 outputs the position information of the action base. As an output method, various forms such as displaying on a display, printing on a print medium, storing in a storage medium, and transmitting to another information processing system can be considered. Various modes such as outputting the latitude / longitude of the identified behavior base mesh and the corresponding address, and displaying the behavior base mesh on a map are conceivable as the output modes.

  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 114 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 114 stores data such as “positioning time”, “user ID”, “latitude”, “longitude”, “positioning accuracy” in association with the positioning information history. .

  The basic mesh data DB 115 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 115 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 116 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 116 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 117 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, the mesh DB 117 by period includes “user ID”, “target period”, “mesh number”, “total stay time”, “total number of positioning times”, “total number of positioning days”, “average reliability”. "Is stored in association with each other.

  The mesh group DB 123 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 123 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 118 stores data relating to the daily area setting, and specifically includes daily area conditions used in the daily area setting 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 118. 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 118. 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 119 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 logic storage unit 124 stores action base detection logic. FIG. 11C illustrates an example of the data structure. According to the figure, the logic storage means 124 stores data such as “behavior bases to be detected”, “logic application conditions”, and “detection conditions” in association with the identification information of each detection logic. ing.

[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. 12, the mobile 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. 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. Daily zone setting process]
First, the daily zone setting process will be described. FIG. 13 is a flowchart showing an example of the overall flow of the daily area setting process. When receiving the positioning information (positioning point, positioning time, user ID) transmitted from the mobile terminal 20 at a predetermined transmission interval, the positioning information storage unit 103 stores the received positioning information in the positioning information DB 114 (S100). Thereby, the history of the positioning information according to the movement of the user is stored in the positioning information DB 114 (see FIG. 9A).

  The basic mesh data generation means 104 rearranges the positioning information in the positioning information DB 114 in time series according to the date for each user, and generates basic mesh data in which the positioning point and the positioning time are associated with the corresponding mesh area for each positioning date for each user. (S200) (refer FIG. 2). The generated basic mesh data is stored in the basic mesh data DB 115 (see FIG. 9B).

  The mesh data generation means 105 (daily mesh generation means 106), based on the generated basic mesh data, determines the number of times of positioning in each mesh area and the user's stay seconds for each predetermined unit period (eg, 1 day) for each user. Daily mesh data representing the number is generated (S300) (see FIGS. 3 and 4). The generated daily mesh data is stored in the daily mesh DB 116 (see FIG. 9C). Details of the daily mesh data generation process will be described later.

  The mesh data generation means 105 (period-specific mesh generation means 109) counts the number of positioning times, stay seconds, and stay days of each mesh area in a predetermined counting period based on the generated daily mesh data. The mesh data according to the period in which the total number of positioning times, the staying seconds, and the staying days are associated with each other is generated (S400) (see FIG. 5). The generated period-specific mesh data is stored in the period-specific mesh DB 117 (see FIG. 10A).

  The daily area setting means 110 is a mesh area in which any one of the number of positioning times, the number of staying seconds, and the number of staying included in the period-specific mesh data, or an arbitrary combination of two or more thereof satisfies a predetermined daily area condition. Is extracted from the user's daily sphere (S500) (see FIG. 6). The generated daily area data is stored in the daily area DB 118 (see FIGS. 10B and 10C).

[3-1-1. Daily mesh data generation process]
Next, the flow of daily mesh data generation processing will be described with reference to FIG. First, the daily mesh generation means 106 determines, based on the basic mesh data, from the positioning points on the mesh area, for example, according to the time series, the first positioning point of the positioning point before movement and the second positioning point of the positioning point after movement. When the group is identified and the group can be identified (S301: YES), the process proceeds to step 302 to apply the first distribution condition or the second distribution condition, and when the group cannot be identified (S301). : NO), go to Step 309 to apply the third distribution condition.

  When the daily mesh generating means 106 proceeds to step 302, the daily mesh generating means 106 calculates the distance between the first positioning point and the second positioning point, and calculates the first positioning time of the first positioning point and the second positioning point. The time between positioning points between two positioning times is calculated (S302).

  As an example of the distribution condition, the daily mesh generation unit 106 determines whether the calculated distance between positioning points is less than a predetermined reference distance and whether the calculated time between positioning points is less than a predetermined reference time ( In step S303, if the determination result is right, the process proceeds to step 304 in order to apply the first distribution condition. If the determination result is negative, the process proceeds to step 307 in order to apply the second distribution condition.

  When the daily mesh generation means 106 proceeds to step 304, it sets the transmission time interval of the positioning information in the portable terminal to the travel time (S304). Then, the travel time subtracted time is calculated by subtracting the travel time from the positioning point time, and the calculated travel time subtracted time is allocated to the first mesh region to which the first positioning point belongs as the allocated staying seconds. (S305). Next, the moving time is distributed approximately evenly as the allocated staying seconds to one or a plurality of mesh regions located on the connection between the first positioning point and the second positioning point (S306). Thereby, the allocation staying seconds are appropriately distributed to the first mesh region, the second mesh region, and the complementary mesh region (see FIG. 4A).

  On the other hand, when the daily mesh generation means 106 proceeds to step 307, the daily mesh generation means 106 calculates the travel time based on the distance between the positioning points and the predetermined speed information (S307). Then, the travel time subtracted time is calculated by subtracting the travel time from the positioning point time, and the calculated travel time subtracted time is allocated to the first mesh region to which the first positioning point belongs as the allocated staying seconds. (S308). In addition, the allocation stay seconds are not distributed to the second mesh area to which the second positioning point belongs or other mesh areas. Thereby, the allocation staying seconds are appropriately allocated to the first mesh region (see FIG. 4B).

  In addition, since the judgment result is NO in step S301, the daily mesh generation means 106, when proceeding to step 309, is the last when the first positioning point where the target positioning point was first positioned on the corresponding day was last determined. It is determined whether there is a positioning point, and if it is the first measuring point, the time from the reference time 0:00 to the positioning time of the target positioning point is distributed to the target mesh area within a predetermined maximum time ( S310). On the other hand, when the target positioning point is the last positioning point, the time from the positioning time of the target positioning point to 24 o'clock as the reference time is distributed to the target mesh area within a predetermined maximum time (S311). . As a result, the allocated staying seconds are also appropriately distributed to the mesh areas of the first positioning point and the last positioning point (see FIG. 4C).

  The daily mesh generation means 106 calculates the staying seconds in the target mesh area based on the allocated staying seconds allocated to the mesh area, and the positioning point is determined in the mesh area. Calculation is performed based on the number of times (S312). Further, the daily mesh generation means 106 calculates the mesh data reliability of the target mesh region by, for example, averaging the positioning accuracy of the positioning information associated with the target mesh region (S312). For the complementary mesh region, the staying seconds are added, but the positioning point is not added.

  Next, the daily mesh generation means 106 determines whether there is a positioning point to be processed next. If there is a positioning point to be processed next (S313: YES), the process returns to step S301. The above process is repeated. On the other hand, if there is no positioning point to be processed next, the process is terminated (S313: NO).

[3-1-2. Periodic mesh data generation process]
Next, the flow of the period-specific mesh data generation process will be described with reference to FIG. 15A (see FIG. 5). The period-specific mesh generation means 109 determines whether or not the period-specific mesh data of the target aggregation period exists in the period-specific mesh DB 117. If the period-specific mesh data has already been generated (S401: YES), the process proceeds to step S402 and still If not generated (S401: NO), the process proceeds to step S403.

  When the process proceeds to step S402, the period-specific mesh generation unit 109 reads the existing period-specific mesh data from the period-specific mesh DB 117, and reads the daily target mesh data for the addition target date and the subtraction target date from the daily mesh DB 116. The period-specific mesh data is updated (S402). Specifically, while adding the stay seconds, positioning times, stay days on the additional target day for each mesh area, subtract the stay seconds, positioning times, stay days on the subtraction target day, Update the stay seconds, positioning times, and stay days included. Also, the average reliability included in the read-out mesh data by period is multiplied by the number of days in the total period to obtain a period total, and the mesh data reliability of the addition target day is added to the total period, and the mesh data reliability of the subtraction target day is added. The period total is updated by subtracting the degree, an average value per day in the target aggregation period is obtained based on the updated period total, and the average reliability is updated.

  When the process proceeds to step S403, the period-specific mesh generation unit 109 reads the daily mesh data for the target aggregation period from the daily mesh DB 116, and generates the period-specific mesh data (S403). Specifically, as the mesh data for each period, the number of stay seconds, the number of positioning times, and the number of stay days for the target total period are totaled, and the average reliability per day of the mesh data reliability in the target total period is calculated. Ask.

  The period-specific mesh generation unit 109 stores the generated period-specific mesh data in the period-specific mesh DB 117 (S404).

[3-1-3. Daily zone setting process]
Next, the flow of the daily area setting process will be described with reference to FIG. 15B (see FIG. 6). The daily sphere setting means 110 refers to the daily sphere conditions of the target daily sphere from the daily sphere DB 118 (S501), and reads the corresponding period-specific mesh data from the period-specific mesh DB 117. A matching mesh region is extracted and set as a daily zone (S502). The information processing system 10 stores the set type of the daily sphere and the mesh number in the daily sphere DB 118 in association with each other (S503).

[3-2. Action base detection process]
Next, behavior base detection processing for detecting a user's behavior base using the daily sphere set as described above will be described. Here, as an example, a case where “home” is detected as an action base will be described as an example. FIG. 16 shows the overall flow of the behavior base detection process.

  The group processing unit 111 has a predetermined connection relationship (for example, from among mesh areas included in the daily sphere of the user (hereinafter referred to as “daily sphere mesh”) for at least one of the plurality of users who generated the mesh data. Mesh regions satisfying (4 adjacency or 8 adjacency relationship) are grouped to generate a mesh group (S1000: see FIG. 7A). Next, for at least one user, at least one of the mesh groups is targeted, and by referring to the period-specific mesh DB 117, the number of stay days by group, the number of stay seconds by group, and the number of positioning times by group are calculated in the aggregation target period. Then, mesh group data associated with the mesh group is generated and stored in the mesh group DB (S1010: see FIG. 7B).

  Next, a home mesh group specifying process is executed for the user who generated the mesh group data (S1020). Further, the work location mesh group specifying process is executed (S1030).

  Next, adaptive home detection processing is executed based on the results of the home mesh group specification processing and the work location mesh group specification processing (S1040). Details of each of these processes will be described below.

[3-2-1. Home mesh group identification process]
FIG. 17 shows the overall flow of the home mesh group specifying process. The behavior base mesh group specifying unit 112 refers to the home mesh group extraction condition from the behavior base DB 119 (S701), and among the generated mesh groups, the home group extraction condition (eg, stay days by group ≧ minimum stay days n, In addition, it is determined whether or not there is a mesh group that satisfies the group stay seconds ≥ minimum stay seconds m) (S702). If the determination result is negative (S702: NO), it is determined that the home mesh group is unknown for the user (S703). In this case, the action base DB 119 stores information indicating that the home mesh group is unknown in association with the user ID of the user.

  On the other hand, when the determination result is “good” (S702: YES), the behavior base mesh group specifying unit 112 selects a mesh group having the largest “stay days by group” from mesh groups that match the home mesh group extraction condition. It identifies as a home mesh group (S704). When a plurality of home mesh groups having the maximum stay days are specified (S705: YES), the mesh group having the largest “stay time by group” is selected as the home mesh group (S706). Further, when a plurality of home mesh groups having the maximum staying seconds are specified (S707: YES), the mesh group having the largest “number of positioning by group” is selected as the home mesh group (S708). When the home base mesh group is specified, the behavior base mesh group specifying unit 112 associates the user ID of the user with the mesh number in the home mesh group, and stores it in the behavior base DB 119.

[3-2-2. Work location mesh group identification process]
FIG. 18 shows the overall flow of work location mesh group identification processing. The behavior base mesh group specifying unit 112 refers to the work location mesh group extraction condition from the behavior base DB 119 (S801), and among the mesh groups excluding the home mesh group from the target mesh group, the work location mesh group extraction condition (example) : It is determined whether there is a mesh group satisfying the group stay days ≧ minimum work days x and the group stay seconds ≧ minimum work seconds y) (S802).

  If the determination result is right (S802: YES), the action base mesh group specifying unit 112 selects a mesh group having the largest “seconds stayed by group” from the mesh groups that match the work place calculation conditions. The mesh group is specified (S804). If a plurality of work place mesh groups having the maximum stay seconds are specified (S805: YES), the mesh group having the largest “stay days by group” is selected as the work place mesh group (S806). Furthermore, when a plurality of work location mesh groups having the maximum stay days are specified (S807: YES), the mesh group having the largest “number of positioning by group” is selected as the work location mesh group (S808). When the work base mesh group specifying unit 112 specifies the work place mesh group, the user base of the user and the mesh number in the work place mesh group are associated with each other and stored in the action base DB 119.

  On the other hand, if it is determined in step S802 that there is no mesh group satisfying the work location calculation condition (S802: NO), it is determined that the work location mesh group is unknown for the user (S809). In this case, the action base DB 119 stores information indicating that the work location mesh group is unknown in association with the user ID of the user.

[3-2-3. Adaptive home detection process]
FIG. 19 shows the overall flow of the adaptive home detection process. The behavior base detection unit 113 refers to the behavior base DB 119 and acquires information on whether or not a work location mesh group is specified (S901).

  Next, the behavior base detection unit 113 refers to the logic storage unit 124 and selects a detection condition depending on whether or not a work location mesh group is specified (S902).

  Next, the behavior base detection unit 113 refers to the daily mesh DB 116 or the period mesh DB 117 and applies the selected detection condition to the daily mesh data or the period mesh data obtained from the positioning information to A mesh is detected (S903). Note that whether to refer to daily mesh data or period-specific mesh data can be determined according to the design.

  In this embodiment, when the work place mesh group is specified, the first home detection logic, that is, the detection condition of “detect the mesh with the longest stay days” is selected. The mesh area with the longest time is detected as the home mesh area (see FIG. 8A). On the other hand, when the work location mesh group is not specified, the second home detection logic, that is, the detection condition “detect the mesh with the highest reliability” is selected, and the reliability is the highest among the home mesh groups. The mesh area is detected as a home mesh area (see FIG. 8B).

  When the user's home mesh area is determined, the behavior base specifying unit 113 associates the user with the mesh number of the home mesh area and stores it in the behavior base DB 119 (S904). Through the above process, the user's home mesh area is identified from the daily life.

  According to the above, since the home detection logic is selected according to information on a place other than the home (in this embodiment, information indicating whether or not the mesh group of the work place has been identified), It is possible to flexibly cope with differences in the environmental attributes and user attributes that are characterized, and the home can be detected with high accuracy.

[Examples of use of action bases]
An example of using the action base set as described above will be described. The usage method of the action base can be determined according to the purpose, etc., and there is no particular limitation on the content thereof. The content of the information to be provided can be determined after considering the relationship between the facility and the user's action base. For example, when the target facility is located around the user's home mesh area or in the home mesh group, sale information, lunch information, real estate information, and the like of the facility can be provided.

  In addition, the mesh area in the mesh group excluding the home mesh group and work place mesh group from the daily life area is identified as the “frequently meshed area” as the third action base, and is located in the identified “frequently meshed area” It is also possible to discriminate the user's hobbies (eg, golf, skiing) from information (eg, golf courses, ski resorts) regarding the facility to be performed, and provide information on the discriminated hobbies.

  Furthermore, it is possible to determine the occupation and attributes of the user by using the specified action base mesh group and action base mesh area. For example, a user for whom a work location mesh group is specified can be determined as a company employee or a student, and a user for whom a work location mesh group has not been specified can be determined as a housewife or a self-employed person. In addition, when the work location mesh group includes a university, the user can be determined as a college student, and when the work location mesh group is located in an office district, the user can be determined as a company employee.

[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.

  (1) In the above embodiment, the home detection logic is selected based on whether or not the workplace mesh group can be specified based on the positioning information, but the present invention is not limited to such a configuration. For example, when a DB or the like in which work locations are registered in advance can be used, the location of the work location is acquired from the DB or the like, and home detection is performed based on whether or not the acquired work location exists in the home mesh group. Logic may be selected.

  (2) In addition, the first place and the second place may be places other than the action base (for example, a visited place). For example, if a favorite spot is selected as the first place, and a place where men generally go (for example, a barber shop) or a place where women generally go (eg, a beauty salon) is selected as the second place, go to the second place. Since the sex of the user can be determined based on the degree of visit, the favorite spot detection logic for men or women can be selected according to the determination result. In this case, for example, for the favorite detection logic for men, the weight of the positioning information obtained for the popular spot for men is increased, the visit frequency is totaled, and the favorite spot is detected based on the visit frequency, With regard to the favorite detection logic for women, it is conceivable to increase the weight of the positioning information obtained for the spots popular with women, and total the visit frequencies, and detect the favorite spots based on the visit frequencies.

  (3) Further, the first place and the second place may not be places that are associated with individuals, and information about each place may not be user attributes. For example, it is possible to consider the degree of congestion as information on each location, where the first location is the X point where the event is held and the second location is the Y station nearest to the X location. In this case, for example, when the congestion degree of Y station is more than a certain level, it is determined that there are many people using Y station to visit the event, and based on the positioning information of the route from Y station to X point, If the logic for detecting the degree of congestion is selected, otherwise, the logic for detecting the degree of congestion at the X point can be selected based on the positioning information in a circle having a predetermined radius including the X point.

  (4) The second location may include a plurality of locations. For example, it is conceivable to select a workplace head office and a branch office as the second location, and to select a home detection logic based on information on whether the workplace head office or the branch office is close to the home.

  (5) In addition, the mesh data reliability is not limited to the configuration calculated by averaging the positioning accuracy of the positioning information associated with the mesh region. For example, among the positioning information associated with the mesh region, The ratio of positioning information with high positioning accuracy may be considered as mesh data reliability.

  (6) In the above embodiment, the logic storage unit 124 is configured to store a plurality of home detection logics. However, a plurality of home (first location) detection logics are used for adaptive home (first location) detection. It is good also as a structure which incorporates and stores directly in a process. In this case, the behavior base detection means 113 also functions as a means for storing a plurality of home detection logics, and the adaptive home detection processing is performed depending on whether the work place mesh group is specified or not. The detection logic is configured to branch to the corresponding logic process.

  (7) In the above embodiment, the home position information is detected based on the positioning information. However, the home (first location) information may be detected based on information other than the positioning information. Good. For example, it is conceivable to detect home location information by home detection logic based on user location information obtained from information such as base stations and access points.

  (8) In the above embodiment, the home (first place) detection logic is selected based on the information on the work place (second place), but the first place detection logic is selected. The information to be referred to may be information that can be acquired based on the position information, and does not necessarily have to be information regarding the location. For example, based on the location information of a user over time, information such as the user's behavior pattern and living environment (information on the date and time of daily activities such as commuting, information on whether day work or night work , Information regarding whether the weekend is a holiday or work attendance, etc.) may be determined, and the home detection logic may be selected based on the determined information.

  (9) The behavior base attribute can be determined using the behavior base parameter “stay seconds” and “positioning count”. When the mobile terminal 20 is configured to transmit positioning information only when the user moves, the number of positioning increases if the user moves, while the number of positioning decreases when the user does not move much. Accordingly, when a certain mesh area has a small number of staying seconds but a large number of positioning times, it can be assumed that the mesh area is an active action base (for example, a shopping mall). On the other hand, when the number of staying seconds is large but the number of positioning times is small, the mesh area can be assumed to be an inactive action base (for example, a movie or a concert).

  (10) For example, when it is determined that the positioning accuracy of the current position in the mobile terminal 20 is low, a mesh region (hereinafter referred to as “movement path mesh”) located on the movement path from the first positioning point to the second positioning point. One or a plurality of mesh regions located in the vicinity of the “region” may be set as the peripheral mesh region, and the time between positioning points may be allocated to the peripheral mesh region. The surrounding mesh area can be set as appropriate according to the design and specifications. For example, when the positioning accuracy of the first positioning point and / or the second positioning point is low, the first mesh area and / or Alternatively, the mesh area around the second mesh area can be set as the first peripheral mesh area and / or the second peripheral mesh area. For example, when the positioning accuracy of both the first positioning point and the second positioning point is low, a mesh area around the complementary mesh area on the movement path may be set as the complementary peripheral mesh area. When the surrounding mesh area is set, the distribution complementing means 108 is calculated according to the distributing method described in the above embodiment, for example, and the movement route mesh area corresponding to the surrounding mesh area (eg, the first mesh surrounding area). The allocation stay seconds for (example: first mesh area) can be distributed to both the movement path mesh area and the peripheral mesh area (example: first mesh area and first mesh peripheral area). According to this configuration, when a positioning point with low accuracy is received, the number of staying seconds is also distributed around the positioning point. As a result, it is possible to improve the accuracy of the daily life zone.

  (11) In the above embodiment, the distribution complementing means 108 performs the process of allocating the stay time to the mesh area on the movement path between the first positioning point and the second positioning point. The distribution process may not be performed. That is, the process of steps S303 to S308 in FIG. 12 may not be performed and the process may proceed from step S302 to step S312.

  In addition, when the predetermined condition is satisfied, the stay time distribution by the distribution supplement means 107 may not be performed, and the stay time may be distributed by the distribution supplement means 107 in other cases. Examples of such conditions include the following. One is that complementation is not performed if the size of the mesh region is larger than a predetermined size. This is because when the size of the mesh is sufficiently large (for example, 300 m square), the first positioning point and the second positioning point are often included in the same mesh, and the result does not change much even if complementation is performed. The other is that complementation is not performed when the time between positioning points between the first positioning point and the second positioning point is shorter than the threshold value. This is because when the time between positioning points is short (for example, less than 10 minutes), there is not much difference between the results when complementing is performed and when complementing is not performed. The other is that when the transmission time interval of the positioning information in the mobile terminal 20 is shorter than the threshold value, no complement is performed. When the transmission time interval is short (for example, less than 5 minutes), the distance between the first positioning point and the second positioning point is often short, and there is not much difference between the results with and without complementing. Because it is not. The other is that complementation is not performed when the distance for everyday area determination is greater than the threshold. This is because when the distance for everyday area determination is large (for example, 400 m or more), there is not much difference between the results when complementing is performed and when it is not performed. Note that it may be determined whether or not to perform complementation using one of these conditions, or may be determined by combining two or more conditions.

  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 ... positioning count counting means, 108 ... distribution complementing means, 109 ... period-specific mesh generation means, 110 ... daily area setting Means 111 ... Group processing means 112 ... Action base mesh group specifying means 113 ... Action base detection means 114 ... Positioning information DB 115 ... Basic mesh data DB 116 -Daily mesh DB, 117 ... Period-specific mesh DB, 118 ... Daily life DB, 119 ... Action base DB, 123 ... Mesh group DB, 124 ... Logic storage means, 125 ... action base information output means, 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 (9)

Logic storage means for storing a plurality of logics for detecting information relating to the first location;
Information acquisition means for acquiring position information;
Selection means for selecting at least one of the plurality of stored logic based on the position information;
Detecting means for detecting information about the first location with the selected at least one logic;
An information processing system comprising:   The information processing system according to claim 1, wherein the position information is information related to a second place.   The information processing system according to claim 2, wherein the information acquisition unit acquires information on the second location based on the positioning information.   The information processing system according to claim 2, wherein the first place or the second place is an action base of the target user.   4. The information processing system according to claim 2, wherein the first place or the second place is a visit place of a target user.   6. The information processing system according to claim 2, wherein the information about the first place or the information about the second place is congestion degree information.   The plurality of stored logics include logic for detecting information about the first location using at least one of a positioning frequency parameter, a staying time parameter, and a positioning accuracy parameter. The information processing system according to any one of the above. An information processing method for detecting information related to a first place, executed by a computer,
Obtaining location information;
Selecting at least one of the plurality of stored logics based on the position information with reference to logic storage means for storing a plurality of logics for detecting information relating to the first location;
A detecting step of detecting information about the first location with the selected at least one logic;
An information processing method comprising: A program for causing a computer to execute an information processing method for detecting information about a first location,
A command to obtain location information;
An instruction to select at least one of the plurality of stored logics based on the position information with reference to logic storage means for storing a plurality of logics for detecting information about the first location;
Instructions for detecting information about the first location in the selected at least one logic;
A program comprising: