JP2012032924A - Information analysis device and information analysis method - Google Patents

Abstract

[PROBLEMS] To easily and quickly collect highly accurate data regarding a macroscopic population distribution.
An information analysis apparatus 600 includes an information analysis apparatus communication control unit 601 that receives a position registration signal including a sector ID where position registration has been performed, position registration time information, and a user ID, and a position for each user. An extraction unit 603 that extracts a position registration signal whose position registration time is within the target time width from the registration signal, and the number of position registration signals within the target time width and the position registration signal within the target time width for each user. Based on the position corresponding to the sector ID, a weight calculation unit 604 that calculates the weight of each position registration signal within the target time width for each user, and the weight of each position registration signal within the target time width is tabulated for each sector. A population distribution calculation unit 605 that calculates an average population distribution in units of sectors in the target time range by counting all target users; That.
[Selection] Figure 2

Description

  The present invention relates to an information analysis apparatus and an information analysis method for obtaining an average population distribution at a target time having a certain time width (hereinafter referred to as “target time width” in the present case).

  Conventionally, there has been a national census conducted nationwide in a five-year cycle as a method for collecting data on macroscopic population distribution. This survey required a series of very time-consuming tasks, such as distributing and collecting questionnaires to the target people, and using a large number of human resources, and it took time to obtain the survey results. . In addition, it was a burden for the respondents to complete and return the questionnaire.

JP 2003-44969 A

  As described above, it has been very troublesome to collect data related to macroscopic population distribution, and it has been difficult to collect such data easily and quickly.

  On the other hand, as an attempt to obtain a population distribution using a mobile terminal, for example, Patent Document 1 describes the point of obtaining a population distribution using a mobile terminal with a GPS function. It is a great deal to find the population distribution, such as distributing GPS built-in devices with identifiers that can uniquely identify all users to each user, and collecting information measured using GPS. Processing load and time are required. Therefore, a technique for collecting data on population distribution more easily and quickly has been awaited. Needless to say, the collected data is required to have a certain level of accuracy.

  In view of the above problems, an object of the present invention is to easily and quickly collect highly accurate data relating to a macroscopic population distribution.

  In order to achieve the above object, the applicant has filed a Japanese application (Japanese Patent Application No. 2009-92225) and an international patent application (PCT / JP2010 / 0554424) regarding an invention relating to derivation of population distribution using a location registration signal. Already submitted. Thereafter, the applicant further advanced the invention relating to the derivation of the population distribution using the location registration signal, and this time the present invention has been improved from a new viewpoint.

  An information analysis apparatus according to one aspect of the present invention includes a receiving unit that receives a location registration signal including a sector ID where location registration has been performed, location registration time information, and a user ID, and a location registration signal for each user. An extraction unit for extracting a position registration signal whose position registration time is within the target time range, and the number of position registration signals within the target time range and the sector ID included in the position registration signal within the target time range for each user A weight calculation unit that calculates the weight of each position registration signal within the target time width for each user, and the weight of each position registration signal within the calculated target time width for each user. A population distribution calculation unit that calculates an average population distribution in units of sectors in the target time range by counting the users.

  In the information analysis apparatus, when the receiving unit receives a location registration signal including the sector ID, location registration time information, and user ID from the outside, the extraction unit detects the location registration time from the location registration signal for each user. The position registration signal within the width is extracted, and the weight calculation unit sets the number of position registration signals within the target time width for each user and the position corresponding to the sector ID included in the position registration signal within the target time width. Based on this, the weight of each position registration signal within the target time width for each user is calculated. Furthermore, the population distribution calculation unit calculates the average population distribution in units of sectors in the target time width by counting the weights of the position registration signals within the calculated target time width for all the users to be counted for each sector. Note that all users to be counted may be all users who have received the location registration signal, or may be users who are limited according to attribute information (for example, age, sex, address, etc.).

  As described above, by calculating the average population distribution in units of sectors in the target time width based on the weight of each position registration signal within the target time width for each user, highly accurate data on the macroscopic population distribution Can be collected easily and quickly. At this time, since the weight of each position registration signal within the target time width for each user is based on the number of occurrences of the position registration signal, not simply based on the number of occurrences of the position registration signal. It is possible to prevent inconveniences that are assumed in the case of the basis (for example, inconvenience due to generation of a position registration signal that is considerably larger than the actual population number in the vicinity of the position registration area boundary).

  More specifically, the weight calculation unit can calculate the weight of each position registration signal within the target time width for each user as follows. For example, the weight calculation unit counts the number of position registration signals within the target time width for each user for each user, and calculates the reciprocal of the number of position registration signals within the target time width for each user as the position registration within the target time width. By setting the weight of each signal, the weight of each position registration signal within the target time width for each user can be calculated.

  As another aspect, the weight calculation unit corresponds to the sector ID included in the position registration signal within the target time width for each user based on the information regarding the position and sector boundary corresponding to each sector ID stored in advance. Connect the locations in a time-sequential line on the virtual map, generate a virtual location registration signal for the sector through which the line passes, count the number of virtual location registration signals generated for each user, By setting the inverse of the number of virtual position registration signals as the weight of each position registration signal within the target time width, the weight of each position registration signal within the target time width for each user can be calculated.

  As another aspect, the weight calculation unit uses the sector ID included in the position registration signal within the target time range for each user based on information on the position and sector boundary corresponding to each sector ID stored in advance. Connect the corresponding positions with a line in chronological order on a virtual map, and for a sector through which the line passes, generate a number of virtual position registration signals according to the length that the line passes through the sector, By setting the weight of each position registration signal within the target time width based on the ratio of the number of virtual position registration signals of each sector generated, the weight of each position registration signal within the target time width for each user Can be calculated.

  As yet another aspect, the weight calculation unit divides the target time width into a plurality of slots, and for each user, counts the number of slots including the position registration time of each position registration signal within the target time width. For each slot, the number of location registration signals whose location registration time is included in the slot is counted, and as the weight of each location registration signal within the target time width, the reciprocal of the slot number and the location registration time of the location registration signal are By setting the product of the reciprocal of the number of position registration signals in the included slot, the weight of each position registration signal within the target time width for each user can be calculated.

  Note that the information analysis apparatus may further include a target time width input unit for inputting a target time width, and may further include an output unit that outputs the calculated population distribution information.

  The information analysis apparatus further includes an attribute information holding unit that holds attribute information for each user, and the extraction unit limits a target user according to the attribute information, and positions the limited user as a target. Registration signal extraction may be performed.

  As another aspect, the information analysis apparatus further includes an attribute information holding unit that holds attribute information for each user, and the weight calculation unit limits a target user according to the attribute information, and the limited user The weight may be calculated for the target.

  As yet another aspect, the information analysis apparatus further includes an attribute information holding unit that holds attribute information for each user, and the population distribution calculation unit limits a target user according to the attribute information. The population distribution may be calculated for the selected user.

  The invention relating to the information analysis apparatus described above can be regarded as an invention relating to an information analysis method executed by the information analysis apparatus, and can be described as follows.

  An information analysis method according to an aspect of the present invention is an information analysis method executed by an information analysis device, and receives a location registration signal including a sector ID, location registration time information, and a user ID for which location registration has been performed from the outside. A receiving step for receiving, an extraction step for extracting a position registration signal whose position registration time is within the target time width from the position registration signal for each user, and the number and target of the position registration signals within the target time width for each user A weight calculating step for calculating the weight of each position registration signal within the target time width for each user based on the position corresponding to the sector ID included in the position registration signal within the time width; and within the calculated target time width By counting the weight of each location registration signal for each sector for all sectors, Characterized in that it comprises a population distribution calculation step of calculating the population distribution, the.

  According to the present invention, by calculating the average population distribution in units of sectors in the target time width based on the weight of each position registration signal within the target time width for each user, it is possible to improve the accuracy of the macroscopic population distribution. Data can be collected easily and quickly. At this time, since the weight of each position registration signal within the target time width for each user is based on the number of occurrences of the position registration signal, not simply based on the number of occurrences of the position registration signal. It is possible to prevent inconveniences that are assumed in the case of the basis (for example, inconvenience due to generation of a position registration signal that is considerably larger than the actual population number in the vicinity of the position registration area boundary).

It is a figure which shows the system configuration | structure of the communication system of 1st-3rd embodiment. It is a figure which shows the function structure of the communication system shown in FIG. It is a figure which shows the relationship between BTS and a sector. It is a flowchart which shows the process of 1st-3rd embodiment. It is a flowchart which shows the weight calculation process of the position registration signal for every user in 1st Embodiment. It is a figure for demonstrating the process of FIG. It is a flowchart which shows the weight calculation process of the position registration signal for every user in 2nd Embodiment. It is a figure for demonstrating the process of FIG. It is a flowchart which shows the weight calculation process of the position registration signal for every user in 3rd Embodiment. It is a figure for demonstrating the process of FIG. It is a figure which shows an example of the population distribution map output in 1st-3rd embodiment. It is a figure which shows an example of the population distribution figure showing the average population distribution of a location registration area unit with the average population distribution of a sector unit. It is a figure which shows the system configuration | structure of the communication system of 4th Embodiment. It is a figure which shows the modification of the function structure of FIG. It is a figure for demonstrating the modification of 2nd Embodiment.

  Embodiments of the present invention will be described with reference to the accompanying drawings. Where possible, the same parts are denoted by the same reference numerals, and redundant description is omitted.

[First Embodiment]
[Configuration of communication system]
FIG. 1 is a diagram illustrating a system configuration of a communication system 10 according to the present embodiment. As shown in FIG. 1, the communication system 10 includes a mobile device 100, a BTS (base station) 200, an RNC (radio network control device) 300, an exchange 400, and a management center 500. The management center 500 includes a social sensor unit 501, a petamining unit 502, a mobile demography unit 503, and a visualization solution unit 504.

  The RNC 300 receives the location registration signal transmitted from the mobile device 100 via the BTS 200 and counts the number of location registration signals. According to the standard specification “Radio Resource Control (RRC) Protocol Specification: 3GPP TS 25.331”, the RNC 300 stipulates the number of signals per sector, and this method complies with this.

  Specifically, for example, an RRC Connection Request signal for which parameter Registration is set may be measured. Alternatively, the signal content of a higher level may be confirmed.

  The exchange 400 collects the location registration signals transmitted by the mobile device 100 via the BTS 200 and the RNC 300. While the RNC 300 counts the location registration signals in units of sectors, the exchange 400 manages the mobile devices 100 and the like in units of location registration areas, and collects the location registration signals transmitted by the mobile devices 100. Thus, the number of mobile devices 100 registered in the location registration area is grasped and stored for each location registration area. The exchange 400 outputs the number (registered number) of the mobile devices 100 registered in the stored location registration area to the management center 500 at a predetermined timing or in response to a request from the management center 500.

  As described above, the management center 500 includes the social sensor unit 501, the petamining unit 502, the mobile demography unit 503, and the visualization solution unit 504. In each unit, the location registration transmitted by the mobile device 100 is registered. Perform statistical processing using signals.

  The social sensor unit 501 is a server device that collects data including the number of mobile devices 100 registered in the location registration area stored in the exchange 400 from each exchange 400. The social sensor unit 501 is configured to receive data periodically output from the exchange 400 and acquire data from the exchange 400 according to a predetermined timing in the social sensor unit 501.

  The petamining unit 502 is a server device that converts data received from the social sensor unit 501 into a predetermined data format. For example, the petamining unit 502 performs the sorting process using the user ID as a key or for each area.

  The mobile demography unit 503 is a server device that performs aggregation processing on the data processed in the petamining unit 502, that is, count processing for each item. For example, the mobile demography unit 503 can perform processing such as derivation of population distribution using a location registration signal as described later.

  The visualization solution unit 504 is a server device that processes the data aggregated in the mobile demography unit 503 so as to be visible. For example, the visualization solution unit 504 can map the aggregated data on a map. Data processed by the visualization solution unit 504 is provided to companies, government offices or individuals, and is used for store development, road traffic surveys, disaster countermeasures, environmental countermeasures, and the like. It should be noted that the information statistically processed in this way is processed so that individuals are not specified so as not to infringe privacy.

  The social sensor unit 501, petamining unit 502, mobile demography unit 503, and visualization solution unit 504 are all configured by the server device as described above, and although not shown, the basic configuration of a normal information processing device Needless to say, it includes a CPU, a RAM, a ROM, an input device such as a keyboard and a mouse, a communication device that communicates with the outside, a storage device that stores information, and an output device such as a display and a printer.

  FIG. 2 shows a functional configuration of the communication system 10. As shown in FIG. 2, the communication system 10 includes a plurality of mobile devices 100 located in sectors controlled by each of the plurality of BTSs 200, an RNC 300 that controls the BTSs 200, an exchange 400, and an information analysis device 600. Composed. The information analysis apparatus 600 corresponds to the mobile demography unit 503 and the visualization solution unit 504 shown in FIG. Regarding the functions corresponding to the social sensor unit 501 and the petamining unit 502 in FIG. 1, these notations are omitted in FIG.

  First, the RNC 300 will be described. The RNC 300 includes an RNC communication control unit 302, a location registration signal receiving unit 303, and a signal number measuring unit 304. Among these, the RNC communication control unit 302 is a part that performs communication connection with the mobile device 100 via the BTS 200. For example, the communication connection processing based on the transmission processing from the mobile device 100 and the communication connection processing based on the location registration request I do. In the present embodiment, the mobile device 100 (1) moves across the location registration area, which is a unit region when the mobile device 100 requests location registration, and (2) a certain period (for example, Every 54 minutes), a location registration signal which is a signal for requesting location registration in the location registration area is transmitted. Further, in the present embodiment, the RNC communication control unit 302 can transmit an Initial UE Message used for communication connection processing to the exchange 400. This Initial UE Message includes instruction information (location registration signal) indicating a call origination or location registration request and an ID such as a temporary ID that uniquely identifies the mobile device 100. Further, the location information of the mobile device 100 can be added to the Initial UE Message. The temporary ID is ID information issued by the exchange 400 when the mobile device 100 is connected to the network.

  FIG. 3 is a diagram showing the relationship between the BTS 200 and sectors. The BTS 200 is located at the center of a region indicated by a circle, and a sector that is equally divided into a plurality of portions around the center is a sector. For example, in FIG. 3, the communication area of the BTS 200 is composed of a maximum of 6 sectors, and a sector ID (sector identifier) that can uniquely identify each sector is assigned to each sector, and the RNC 300 By using the ID, it is possible to know which sector the mobile device 100 is in via the BTS 200.

  Note that the RNC 300 can also calculate the GAI (Geographical Area ID) of where in the sector the mobile device 100 is located based on the signal delay obtained when the RRC connection request is processed. . The position of the mobile device 100 can be specified based on the sector ID and the position in the sector.

  The location registration signal receiving unit 303 is a part that receives the location registration signal transmitted by the mobile device 100 via the RNC communication control unit 302.

  The signal number measuring unit 304 calculates the number of sector unit signals (the number of signals: that is, the corresponding sector), which is the total number of times the position registration signal has been received for each sector from the position registration signal received by the position registration signal receiving unit 303. The number of position registration signals transmitted by the mobile device 100 per unit time) is measured.

  The signal number measurement unit 304 transmits the sector unit signal number to the exchange 400 via the RNC communication control unit 302.

  Next, the exchange 400 will be described. The exchange 400 includes an exchange communication control unit 401, a conversion unit 402, a location registration signal processing unit 404, and a storage unit 403. Among them, the exchange communication control unit 401 is a part that receives an Initial UE Message transmitted from the RNC 300 and performs communication connection processing using the Initial UE Message.

  The conversion unit 402 is a part that converts an ID such as a temporary ID included in the Initial UE Message received by the exchange communication control unit 401 into a telephone number. During the conversion process, the conversion unit 402 extracts a telephone number associated with an ID such as a temporary ID from a subscriber profile information storage unit (not shown) that stores subscriber profile information, and the extracted telephone Convert to number. The subscriber profile information storage unit is provided in, for example, an unillustrated HLR (Home Location Register), and here manages and stores an ID such as a temporary ID and a telephone number in association with each other. .

  The location registration signal processing unit 404 receives a location registration signal from the mobile device 100 via the BTS 200, and measures the number of registrations that is the number of mobile devices 100 registered in the location registration area based on the received location registration signal. It is a part to do.

  As described above, in the present embodiment, the mobile device 100 transmits a location registration signal when the mobile device 100 moves across the location registration area. Thereby, the location registration signal processing unit 404 can grasp the real number of the mobile devices 100 existing in the location registration area. The standard specification “Mobile Application Part (MAP) specification: 3GPP TS 29.002” describes a method in which the exchange 400 manages location registration. The processing in the exchange 400 of this embodiment is based on this method.

  The storage unit 403 is a part that inputs and stores the number of registrations measured by the location registration signal processing unit 404 and the number of sector unit signals received from the RNC 300 via the exchange communication control unit 401. In addition, the telephone number converted by the conversion unit 402, the position information of the mobile device 100 included in the Initial UE Message, and the time when the position information is measured can be stored in association with each other.

  Next, the information analysis apparatus 600 will be described. The information analysis apparatus 600 includes, as components related to the present invention, an information analysis apparatus communication control unit 601, a holding unit 602, an extraction unit 603, a weight calculation unit 604, a population distribution calculation unit 605, an output unit 606, and a target time width. An input unit 607 is included. Among them, the information analysis device communication control unit 601 is a part that controls communication between the information analysis device 600 and the exchange 400. For the population distribution derivation process described later, the sector ID for which location registration has been performed, A location registration signal including location registration time information and a user ID is received via the exchange communication control unit 401 and the RNC communication control unit 302.

  The holding unit 602 is a part that holds the location registration signal received by the information analysis device communication control unit 601. The holding unit 602 may hold attribute information (for example, age, sex, address, etc.) for each user. In the following description, it is assumed that the holding unit 602 holds attribute information for each user.

  The target time width input unit 607 is a part for the user to input a target time width for which an average population distribution should be obtained. The input format of the target time width here is not limited to a specific format. For example, a format for inputting the start time and the end time may be adopted, or the start time and the length of the width are input. You may adopt the form to do.

  The extraction unit 603 is a part that extracts a position registration signal whose position registration time is within the target time width from a position registration signal for each user whose weight is to be described later. It should be noted that the users whose weights are described later may be all users of the received location registration signal, or may be users limited according to the attribute information. That is, the extraction unit 603 refers to the attribute information for each user held by the holding unit 602, limits the target user according to the attribute information, and sets the location registration signal for the limited user. Extraction may be performed.

  The weight calculation unit 604 performs a process described later on the basis of the number of position registration signals within the target time width for each user and the position corresponding to the sector ID included in the position registration signal within the target time width. This is a part for calculating the weight of each position registration signal within the target time width.

  The population distribution calculation unit 605 counts all the weights of the position registration signals within the calculated target time range for all users who are to be weighted for each sector (hereinafter referred to as “total users to be counted”). This is the part that calculates the average population distribution in sectors in the width.

  The weight calculation unit 604 and the population distribution calculation unit 605 in the present embodiment will be described later without using the number of position registration signals in units of sectors counted by the RNC 300 or the number of registrations of each position registration area obtained by the exchange 400. By calculating the weight of each position registration signal within the target time width for each user, and calculating the average weight distribution for each sector in the target time width by counting the calculated weights for all the target users for each sector Is calculated.

  The output unit 606 is a part that outputs the average population distribution information calculated by the population distribution calculation unit 605. Needless to say, “output” here includes display output and print output widely. That is, the average population distribution information may be displayed and output on a display or the like, may be printed out from a printer or the like, or may be output both in display and printing.

[Processing executed by the information analyzer]
Next, processing executed by the information analysis apparatus 600 in the communication system 10 as described above will be described with reference to FIGS.

  When the user inputs the target time width of the population distribution from the target time width input unit 607 in the information analysis apparatus 600 and performs a predetermined process start operation, the processing of FIG. However, the input of the target time width is not an essential condition. For example, a predetermined time width may be set in advance as the target time width. In addition, regarding the process start, it is not essential for the user to perform a predetermined process start operation, and the process of FIG. 4 may be automatically started by a scheduled operation or the like.

  In step S1 of FIG. 4, the information analyzer communication control unit 601 sends a location registration signal including the sector ID, location registration time information, and user ID for which location registration has been performed, to the exchange communication control unit 401 and the RNC communication control unit 302. The holding unit 602 holds the received location registration signal. In the next step S <b> 2, the extraction unit 603 extracts a location registration signal whose location registration time is within the target time range from the location registration signal for each user held in the holding unit 602. In this step S2, the extracting unit 603 refers to the attribute information for each user held by the holding unit 602, thereby limiting the target user according to the attribute information, and targeting the limited user. The location registration signal may be extracted. In this case, it is possible to narrow down the position registration signals to be processed later, so that the processing load can be reduced and the processing speed can be increased.

  In the next step S3, the weight calculation unit 604 executes a weight calculation process for the position registration signal for each user in FIG. 5 described below. That is, the weight calculation unit 604 counts the number of position registration signals within the target time width for each user for each user (step S311 in FIG. 5), and calculates the reciprocal of the number of position registration signals within the target time width for each user. The weights of the position registration signals within the target time width are set (step S312). The process of FIG. 5 as described above is executed for each user. FIG. 6 shows an example in which four position registration signals for Mr. X are extracted and two position registration signals for Mr. Y are extracted in the target time width. The black circles in FIG. The sector ID included in the corresponding location registration signal is shown above each black circle. In the example of FIG. 6, for Mr. X, the number of position registration signals within the target time width is four, and the reciprocal 1/4 (that is, 0.25) is set as the weight of each position registration signal within the target time width. Is done. For Mr. Y, the number of position registration signals within the target time width is two, and the inverse number 1/2 (that is, 0.5) is set as the weight of each position registration signal within the target time width.

  When the execution of the process in FIG. 5 is completed for all the aggregation target users, the process returns to FIG. 4. In the next step S4, the population distribution calculation unit 605 determines each position registration signal within the target time width obtained in the process in FIG. The weights are aggregated for all the users to be aggregated for each sector. Thereby, an average population in units of sectors in the target time width is obtained, and as a result, an average population distribution in units of sectors in the target time width is obtained. In the example of FIG. 6, assuming that all users to be aggregated are only X and Y, the average population for sectors A and D is 0.75 (ie, the sum of 0.25 and 0.5), and the average population for sectors B and C. Becomes 0.25.

  In the next step S5, the output unit 606 outputs an average population distribution diagram that two-dimensionally represents the average population distribution in units of sectors obtained as described above. FIG. 11 shows an example of an average population distribution chart for each sector. In FIG. 11, A to L represent sector IDs, and the number below each sector ID represents the average population of the sector in the target time width.

  According to the first embodiment described above, by calculating the average population distribution in units of sectors in the target time width based on the weight of each position registration signal within the target time width for each user, the macro population distribution is calculated. Accurate data can be easily and quickly collected. At this time, since the weight of each position registration signal within the target time width for each user is based on the number of occurrences of the position registration signal, not simply based on the number of occurrences of the position registration signal. It is possible to prevent inconveniences that are assumed in the case of the basis (for example, inconvenience due to generation of a position registration signal that is considerably larger than the actual population number in the vicinity of the position registration area boundary).

[Second Embodiment]
In the second embodiment, the system configuration of the communication system 10 in FIG. 1 and the functional block configuration of the communication system 10 in FIG. 2 are the same as those in the first embodiment, and redundant description is omitted. However, since step S3 (processing executed by the weight calculation unit 604) in the overall processing of FIG. 4 is different from the first embodiment described above, the processing of step S3 will be described with reference to FIGS. This will be described below.

  In the second embodiment, in step S3 of FIG. 4, the weight calculation unit 604 registers the position within the target time width for each user based on the information on the position and sector boundary corresponding to each sector ID stored in advance. A line is generated by connecting the positions corresponding to the sector IDs included in the signal in time series order on a virtual map as shown in FIG. 8 (step S321 in FIG. 7), and the generated line is virtual for the sector through which the line passes. Position registration signal is generated (step S322). As the position corresponding to the sector ID, the sector center position may be employed, or a point (GAI (Geographical Area ID)) obtained by so-called PRACH-PD positioning calculation may be employed. The geometric center-of-gravity position may be adopted. In addition, the line generated in step S321 may be a straight line or a line that matches a road or a railroad on a virtual map. Here, as an example, an example will be described in which a sector center position is adopted as a position corresponding to a sector ID, and a straight line is generated by connecting the sector center positions in time series on a virtual map.

  FIG. 8 shows position registration signals a, b, and f within a target time range (here, 0:00 to 1:00) for a single user and their respective position registration times 0:10, 0:30, 0:50 and sectors A to F are shown. The position of the black circle in the position registration signal a indicates the position corresponding to the sector ID included in the position registration signal a (here, the center position of the sector A). Similarly, the position of the black circle in the position registration signal b is the position registration. The position corresponding to the sector ID included in the signal b (here, the center position of the sector B), and the position of the black circle in the position registration signal f is the position corresponding to the sector ID included in the position registration signal f (here, sector F). The center position of each) is shown. In the example of FIG. 8, first, a straight line connecting the black circle of the position registration signal a and the black circle of the position registration signal b is virtually generated in order of time of the position registration time. A straight line connecting the black circles of the position registration signal f is virtually generated. At this time, since the sectors through which the generated straight line passes are sectors A, B, C, and F, virtual location registration signals are generated for these sectors A, B, C, and F.

  Next, the weight calculation unit 604 counts the number of generated virtual position registration signals for each user (step S323), and calculates the reciprocal of the number of virtual position registration signals for each user as the position registration signal within the target time width. Each weight is set (step S324). In the example of FIG. 8, the number of generated virtual position registration signals is four, and the inverse number 1/4 (that is, 0.25) is set as the weight of each position registration signal within the target time width. The process of FIG. 7 as described above is executed for each user.

  With the process of FIG. 7 as described above, the weight of each position registration signal within the target time width is appropriately calculated. After that, as in the first embodiment, the weights of the position registration signals within the target time width are totalized for all the target users for each sector in step S4 of FIG. The average population distribution is calculated, and in step S5, for example, a population distribution chart in units of sectors as shown in FIG. 11 is output.

  In the second embodiment, an example is shown in which one virtual location registration signal is generated for each sector through which a straight line passes on a virtual map. However, one location registration signal is equally generated one by one. It is not limited to. As a modification, for a sector through which a straight line passes on a virtual map, a number of virtual position registration signals corresponding to the length of the straight line passing through each sector may be generated. For example, as shown in FIG. 15, a straight line connecting the black circle of the position registration signal a and the black circle of the position registration signal d is virtually generated for the position registration signals a and d within the target time width for a certain user, The straight line passes through sectors A, B, C, and D, the boundary between sectors A and B is point x, the boundary between sectors B and C is point y, and the boundary between sectors C and D is point z. Cross each other. At this time, the number of virtual position registration signals corresponding to the length of the straight line passing through each sector is generated. For example, if the ratio of lengths passing through each sector, that is, the ratio of lengths of line segments ax, xy, yz, and zd is 2: 3: 1: 2, the number of virtual position registration signals generated is Two for sector A, three for sector B, one for sector C, and two for sector D, and the ratio of the number of virtual location registration signals of each sector generated (2: 3: 1: Based on 2), the weight of each position registration signal within the target time width may be set as follows. That is, as an example, the weight of the position registration signal of sector A is 0.250 (= 2/8), the weight of the position registration signal of sector B is 0.375 (= 3/8), and the weight of the position registration signal of sector C is 0.125 (= = 1/8), the weight of the position registration signal of sector D may be set to 0.250 (= 2/8).

[Third Embodiment]
In the third embodiment, the system configuration of the communication system 10 in FIG. 1 and the functional block configuration of the communication system 10 in FIG. 2 are the same as those in the first embodiment, and redundant description is omitted. However, since step S3 (processing executed by the weight calculation unit 604) in the overall processing of FIG. 4 is different from the above-described first and second embodiments, FIG. 9 and FIG. This will be described below with reference.

  In the third embodiment, in step S3 in FIG. 4, the weight calculation unit 604 first divides the target time width equally into a plurality of slots (time frames) (step S331 in FIG. 9). The number of slots at this time may be a predetermined value, may be a value input from the outside, or may be determined according to the size of the target time width (for example, 3 if the target time width is 30 minutes, or 6 if the target time width is 60 minutes).

  Next, the weight calculation unit 604 counts the total number of slots (hereinafter simply referred to as “slot number”) including the position registration times of the position registration signals within the target time width for each user (step S332). For each user, the number of location registration signals whose location registration time is included in the slot is counted for each slot (step S333).

  FIG. 10 shows five position registration signals and their sector IDs (A to E) within a target time width (here, 0:00 to 1:00) for one user. The location registration signal with sector ID A is referred to as “point A” for convenience, and similarly, the location registration signals with sector IDs B to E are “point B”, “point C”, and “point D”, respectively. , Referred to as “Point E”. The target time range (0:00 to 1:00) is slot 1 from 0:00 to 0:10, slot 2 from 0:10 to 0:20, slot 3 from 0:20 to 0:30, 0 It is divided into a total of six slots: slot 4 from: 30 to 0:40, slot 5 from 0:40 to 0:50, and slot 6 from 0:50 to 1:00. The location registration time of point C is included in slot 1, the location registration time of point D is included in slot 5, the location registration time of point D is included in slot 5, and the location registration time of point E is included in slot 6. In the example of FIG. 10, the slots including the position registration times of the position registration signals within the target time width are slots 1, 4, 5, and 6, and the number of slots is “4”. As for the number of location registration signals whose location registration time is included in the slot, the slot 1 is “2”, the slot 4 is “1”, the slot 5 is “1”, and the slot 6 is “1”.

  Next, the weight calculation unit 604 uses the reciprocal of the number of slots obtained in step S332 and the position registration time of the position registration signal obtained in step S333 as the weight of each position registration signal within the target time width. The product of the reciprocal of the number of position registration signals is set (step S334). In the example of FIG. 10, as the weight of the point A, the reciprocal of the number of slots (1/4) and the reciprocal of the number of position registration signals in the slot (slot 1) including the position registration time of the point A (1/2) Product, that is, 0.125 is set. Similarly for point B, as the weight of point B, the reciprocal of the slot number (1/4) and the reciprocal number of the position registration signal in the slot (slot 1) including the position registration time of point B (1/2) are used. Is set, that is, 0.125. Further, as the weight of the point C, the product of the reciprocal (1/4) of the number of slots and the reciprocal (1/1) of the number of position registration signals in the slot (slot 4) including the position registration time of the point C, that is, , 0.25 is set. Further, as the weight of the point D, the product of the reciprocal (1/4) of the number of slots and the reciprocal (1/1) of the number of position registration signals in the slot (slot 5) including the position registration time of the point D, that is, , 0.25 is set. Further, as the weight of the point E, the product of the reciprocal (1/4) of the number of slots and the reciprocal (1/1) of the number of position registration signals in the slot (slot 6) including the position registration time of the point E, that is, , 0.25 is set. The process of FIG. 9 as described above is executed for each user.

  Through the processing of FIG. 9 as described above, the weight of each position registration signal within the target time width is appropriately calculated. After that, as in the first embodiment, the weights of the position registration signals within the target time width are totalized for all the target users for each sector in step S4 of FIG. The average population distribution is calculated, and in step S5, for example, a population distribution chart in units of sectors as shown in FIG. 11 is output.

  In the first to third embodiments, for the processing of numerical values after the decimal point when calculating the weight, for example, when there are two or more digits after the decimal point, the second digit is rounded off to 1 after the decimal point. What is necessary is just to process according to a predetermined method, such as setting a numerical value up to a digit. Of course, you may process according to the method input from the outside. In addition, in FIG. 11, the population distribution figure at the time of calculating a weight and calculating an average population distribution as a numerical value to the first decimal place is illustrated.

  Moreover, although the example which calculates the average population distribution of a sector unit was shown in the 1st-3rd embodiment mentioned above, Furthermore, the process which totals the average population of the sector which belongs to the same position registration area for every position registration area is performed. By doing so, it is possible to calculate the average population distribution for each location registration area. For example, the average population of the location registration areas to which the sectors A to E in FIG. 11 belong and the average population of the location registration areas to which the sectors F to L belong are calculated, and as shown in FIG. By applying notation according to the number of populations (color coding, diagonal lines, shading, etc.), it is possible to output a diagram representing the average population distribution of the location registration area unit as well as the average population distribution of the sector unit.

  In the above-described first embodiment, the example in which the attribute information (for example, age, sex, address, etc.) for each user is held by the holding unit 602 is shown. However, the present invention is not limited to this. As shown, the information analysis apparatus 600 may employ a configuration including an attribute information holding unit 608 that holds attribute information for each user separately from the holding unit 602.

  Further, in the first embodiment described above, an example in which the extraction unit 603 limits the target user according to the attribute information and extracts the location registration signal for the limited user in step S2 of FIG. 4. However, the present invention is not limited to this. In step S4 of FIG. 4, the population distribution calculation unit 605 limits the target user according to the attribute information, and sets the weight for the limited user. Aggregation (population distribution calculation) may be performed. Further, in step S3 of FIG. 4, the weight calculation unit 604 may limit the target user according to the attribute information, and calculate the weight for the limited user. As described above, in step S4 or S3 in FIG. 4, when the target users are limited according to the attribute information, the population distribution calculation or the weight calculation may be performed under various conditions such as age or gender. it can. Of course, the target user may be limited according to the attribute information in a plurality of steps among steps S2 to S4 in FIG.

[Fourth Embodiment]
FIG. 13 is a system configuration diagram of a communication system 10a according to the fourth embodiment. As shown in FIG. 13, this communication system 10a has a system configuration when applied to LTE (Long Term Evolution), which is a new communication method, and includes a mobile device 100, an eNB (Evolution Node B) 250, an exchange 400, and The management center 500 is included. The management center 500 includes a social sensor unit 501, a petamining unit 502, a mobile demography unit 503, and a visualization solution unit 504. Note that the eNB 250 includes the functions of both the BTS 200 and the RNC 300.

  The fourth embodiment is a system configuration when applied to LTE, and the specific processing contents thereof are the same as those of the first to third embodiments described above, and thus detailed description thereof is omitted. In the first to third embodiments, the protocol is RANAP (Radio Access Network Application Part), but in the fourth embodiment, S1AP (S1 Application protocol) used in LTE is used. As for the Initial UE Message, the same signal is also used in S1AP.

  In the first to fourth embodiments, the description has been made on the assumption that the third-generation mobile phone (3G) system is used, but the present invention can also be applied to GSM (Global System for Mobile Communications).

  DESCRIPTION OF SYMBOLS 10, 10a ... Communication system, 100 ... Mobile station, 200 ... BTS, 250 ... eNB, 300 ... RNC, 302 ... RNC communication control part, 303 ... Location registration signal receiving part, 304 ... Signal number measurement part, 400 ... Switch, 401: exchange communication control unit 402: conversion unit 403 storage unit 404 location registration signal processing unit 500 management center 501 social sensor unit 502 petamining unit 503 mobile demography unit 504 ... Visualization solution unit, 600 ... Information analysis apparatus, 601 ... Information analysis apparatus communication control section, 602 ... Holding section, 603 ... Extraction section, 604 ... Weight calculation section, 605 ... Population distribution calculation section, 606 ... Output section, 607 ... Target time width input unit, 608... Attribute information holding unit.

Claims (11)

A receiving unit for receiving a location registration signal including the sector ID, location registration time information, and user ID for which location registration has been performed;
An extraction unit for extracting a position registration signal whose position registration time is within the target time width from the position registration signal for each user;
The weight of each position registration signal within the target time width for each user based on the number of position registration signals within the target time width for each user and the position corresponding to the sector ID included in the position registration signal within the target time width A weight calculation unit for calculating
A population distribution calculation unit that calculates an average population distribution in units of sectors in the target time width by counting the weight of each position registration signal within the calculated target time width for all the users to be counted for each sector;
An information analysis apparatus comprising: The weight calculation unit
Count the number of location registration signals within the target time range for each user for each user,
The reciprocal of the number of position registration signals within the target time width for each user is set as the weight of each position registration signal within the target time width.
By calculating the weight of each position registration signal within the target time width for each user,
The information analysis apparatus according to claim 1. The weight calculation unit
Based on the information on the position and sector boundary corresponding to each sector ID stored in advance, the position corresponding to the sector ID included in the position registration signal within the target time width is time-sequentially displayed on the virtual map for each user. Connect with a line in order, generate a virtual location registration signal for the sector through which the line passes,
Count the number of generated virtual location registration signals for each user,
The inverse of the number of virtual location registration signals for each user is set as the weight of each location registration signal within the target time width.
By calculating the weight of each position registration signal within the target time width for each user,
The information analysis apparatus according to claim 1. The weight calculation unit
Based on the information on the position and sector boundary corresponding to each sector ID stored in advance, the position corresponding to the sector ID included in the position registration signal within the target time width is time-sequentially displayed on the virtual map for each user. For each sector through which the line passes in order, generate a number of virtual location registration signals corresponding to the length that the line passes through the sector,
Based on the ratio of the number of virtual location registration signals of each sector generated, the weight of each location registration signal within the target time width is set.
By calculating the weight of each position registration signal within the target time width for each user,
The information analysis apparatus according to claim 1. The weight calculation unit
Divide the target time width into multiple slots,
For each user, count the number of slots containing the location registration time of each location registration signal within the target time range,
For each user, for each slot, count the number of location registration signals whose location registration time is included in the slot,
As a weight of each position registration signal within the target time width, a product of the reciprocal of the number of slots and the reciprocal of the number of position registration signals in the slot including the position registration time of the position registration signal is set.
By calculating the weight of each position registration signal within the target time width for each user,
The information analysis apparatus according to claim 1. Target time width input unit for inputting the target time width,
The information analysis apparatus according to any one of claims 1 to 5, further comprising: An output unit for outputting the calculated population distribution information;
The information analysis device according to claim 1, further comprising: The information analysis apparatus further includes an attribute information holding unit that holds attribute information for each user,
The extraction unit limits a target user according to the attribute information, and extracts a location registration signal for the limited user.
The information analysis apparatus according to any one of claims 1 to 7, wherein: The information analysis apparatus further includes an attribute information holding unit that holds attribute information for each user,
The weight calculation unit limits a target user according to the attribute information, and calculates a weight for the limited user.
The information analysis apparatus according to any one of claims 1 to 7, wherein: The information analysis apparatus further includes an attribute information holding unit that holds attribute information for each user,
The population distribution calculation unit limits a target user according to attribute information, and calculates a population distribution for the limited user.
The information analysis apparatus according to any one of claims 1 to 7, wherein: An information analysis method executed by an information analysis device,
A reception step of receiving a location registration signal including the sector ID, location registration time information, and user ID for which location registration has been performed;
An extraction step of extracting a position registration signal having a position registration time within the target time width from the position registration signal for each user;
The weight of each position registration signal within the target time width for each user based on the number of position registration signals within the target time width for each user and the position corresponding to the sector ID included in the position registration signal within the target time width A weight calculating step for calculating
A population distribution calculating step of calculating an average population distribution in units of sectors in the target time width by counting the weight of each of the position registration signals within the calculated target time width for all users to be counted for each sector;
An information analysis method comprising:

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