JP2012034090A - Information analyzer and information analyzing method - Google Patents

Abstract

[PROBLEMS] To easily and quickly collect highly accurate data regarding a macroscopic population distribution.
An information analysis apparatus 600 includes information on the number of transmitted / received signals for each type of signal indicating the number of transmitted / received signals of a mobile device in each of a plurality of sectors constituting a position registration area, and the position registered in each sector. An information analyzer communication control unit 601 that receives information on the number of location registrations in units of sectors indicating the number of mobile units from the outside, and estimates the number of location registrations in each of the LA boundary sectors as sectors near the boundary of the location registration area A derivation unit 603 for deriving a mathematical expression for the non-LA boundary sector as a sector other than the LA boundary sector based on position registration number information and transmission / reception signal number information in each non-LA boundary sector; A position registration number estimation unit 604 that estimates the number of position registrations in each of the LA boundary sectors based on the number of transmission / reception signal numbers in each of the boundary sectors; Equipped with a.
[Selection] Figure 2

Description

  The present invention relates to an information analysis apparatus and an information analysis method for estimating a population distribution, and in particular, an information analysis apparatus for accurately estimating a population distribution in each of the location registration area boundary sectors as sectors near the boundary of the location registration area, and It relates to information analysis methods.

  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 on macroscopic population distribution in the past, and it has been difficult to collect such data easily and quickly and to obtain survey results easily and quickly. It was.

  On the other hand, as an attempt to obtain a population distribution using mobile terminals, for example, Patent Document 1 discloses a detailed current position for each user based on GPS position information of individual users obtained using a mobile terminal with a GPS function. However, with this technology, it is described that the detailed population distribution situation is grasped, but even with this technology, an identifier that can be uniquely identified by all users is added to all the target users. It requires a great amount of processing load and time for obtaining a population distribution, such as distributing devices and collecting individual information measured using GPS. Therefore, a technique for collecting and investigating 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-) regarding an invention relating to derivation of population distribution using the number of transmission / reception signals of a mobile device (for example, the number of outgoing / incoming mobile devices). No. 92228), Japanese application (Japanese Patent Application No. 2009-207160) and international patent application (PCT / JP2010 / 055435) have already been submitted. In addition, the applicant has already submitted a Japanese application (Japanese Patent Application No. 2009-92225) and an international patent application (PCT / JP2010 / 055424) regarding the invention relating to the derivation of the population distribution using the location registration signal. Thereafter, the applicant further advanced the invention relating to the derivation of the population distribution, and this time, the present invention has been improved from a new point of view.

  An information analysis apparatus according to one aspect of the present invention provides information on the number of transmitted / received signals for each signal type indicating the number of transmitted / received signals of a mobile device in each of a plurality of sectors constituting a position registration area, and position registration in each sector. In order to estimate the number of location registrations in each of the reception unit for receiving the location registration number information indicating the number of mobile stations that have been received from the outside and the location registration area boundary sector as a sector near the boundary of the location registration area A derivation unit for deriving the mathematical expression based on position registration number information in each of the non-position registration area boundary sectors as sectors other than the position registration area boundary sector and transmission / reception signal number information in each of the non-position registration area boundary sectors; Based on the derived formula and the information on the number of transmission / reception signals in each of the location registration area boundary sectors, the location registration area boundary segment is set. Characterized in that it comprises a location registration number estimation section for estimating the location registration number in each of the data, the.

  In the information analysis apparatus, the reception unit transmits / receives the number of transmitted / received signals for each type of signal indicating the number of transmitted / received signals of the mobile device in each of the plurality of sectors constituting the position registration area, and the position registered in each sector In order to estimate the number of location registrations in each of the location registration area boundary sectors as sectors near the boundary of the location registration area when receiving the location registration number information indicating the number of mobile units from the outside. Is derived based on the position registration number information in each of the non-position registration area boundary sectors as sectors other than the position registration area boundary sector and the transmission / reception signal number information in each of the non-position registration area boundary sectors, and the position The registration number estimation unit is based on the derived mathematical formula and the information on the number of transmitted / received signals in each of the location registration area boundary sectors. To estimate the number of location registration in each of the registration area boundary sector. This estimation is performed on the assumption that the transmission / reception signal and the position registration of the mobile device should occur at the same rate in both the non-position registration area boundary sector and the position registration area boundary sector.

  Thereby, the population in each non-location registration area boundary sector can be obtained from the number of location registrations in the sector, and the population in each location registration area boundary sector is the location in the sector estimated using the above formula. It can be obtained from the number of registrations. In other words, populations in all sectors can be obtained, and accurate data regarding macroscopic population distribution can be easily and quickly collected.

  Also, at this time, the location registration area boundary sector is not based on the location registration number information in each location registration area boundary sector, but is based on the location registration number information and transmission / reception signal number information in each non-location registration area boundary sector. In order to derive a mathematical formula for estimating the number of location registrations in each of the above, inconveniences assumed when location registration number information in each of the location registration area boundary sectors is used as a basis (for example, actual location near the location registration area boundary It is possible to prevent inconvenience due to the occurrence of considerably more location registration signals than the population.

  In addition, a mathematical formula for estimating the number of location registrations in each of the location registration area boundary sectors is derived, and in order to estimate the number of location registrations in each of the location registration area boundary sectors using this formula, Compared with the prior art that obtains a detailed current position for each user based on information and grasps a detailed population distribution situation, it is possible to collect data on a macroscopic population distribution more easily and quickly.

  The transmission / reception signal number information includes at least one of packet arrival number information to the mobile device, voice arrival number information to the mobile device, packet transmission number information from the mobile device, and voice transmission number information from the mobile device. What is necessary is just to comprise so that one may be included.

  The information analysis apparatus may further include a sector setting unit that classifies and sets sectors as position registration area boundary sectors and non-position registration area boundary sectors. In addition, the sector setting unit sets a sector having a common location registration area identifier of all adjacent sectors as a non-location registration area boundary sector, and the location registration area identifiers of all adjacent sectors are not common. The sector may be configured to be set as a location registration area boundary sector.

  Further, the information analysis apparatus outputs the population distribution information in units of sectors based on the estimated number of position registrations in each of the position registration area boundary sectors and the number of position registrations in each of the non-position registration area boundary sectors. May be further provided. The output unit may be configured to count the population of sectors belonging to the same location registration area for each location registration area and output population distribution information for each location registration area obtained by the count.

  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 one aspect of the present invention is an information analysis method executed by an information analysis apparatus, and is a sector unit signal indicating the number of transmission / reception signals of a mobile device in each of a plurality of sectors constituting a location registration area. As a sector near the boundary of the location registration area, a reception step for receiving the number of transmitted / received signal information for each type and the location registration number information for each sector indicating the number of registered mobile devices in each sector; Formulas for estimating the number of location registrations in each of the location registration area boundary sectors are expressed as follows: the location registration number information in each of the non-location registration area boundary sectors as sectors other than the location registration area boundary sector and the non-location registration area boundary sector A derivation step derived based on the number of transmitted / received signal information in each, a derived mathematical formula and a location registration area boundary section; Based on the reception signal number information in each, characterized in that it comprises a location registration number estimating step of estimating the number of location registration in each position registration area boundary sector, the.

  According to the present invention, it is possible to easily and quickly collect highly accurate data relating to a macroscopic population distribution.

  Also, at this time, the location registration area boundary sector is not based on the location registration number information in each location registration area boundary sector, but is based on the location registration number information and transmission / reception signal number information in each non-location registration area boundary sector. In order to derive a mathematical formula for estimating the number of location registrations in each of the above, inconveniences assumed when location registration number information in each of the location registration area boundary sectors is used as a basis (for example, actual location near the location registration area boundary It is possible to prevent inconvenience due to the occurrence of considerably more location registration signals than the population.

  Further, a mathematical formula for estimating the number of location registrations in each of the location registration area boundary sectors is derived, and the GPS location of each user is estimated using this formula to estimate the number of location registrations in each of the location registration area boundary sectors. Compared with the prior art that obtains a detailed current position for each user based on information and grasps a detailed population distribution situation, it is possible to collect data on a macroscopic population distribution more easily and quickly.

It is a figure which shows the system configuration | structure of the communication system of 1st 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 Embodiment. It is a figure for demonstrating the setting process of a sector. It is a figure which shows an example of the population distribution map output in 1st Embodiment. It is a figure which shows an example of the population distribution figure showing the population distribution of a location registration area unit with the population distribution of a sector unit. It is a figure which shows the system configuration | structure of the communication system 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 RRC connection request signal transmitted from the mobile device 100 via the BTS 200. At this time, it is possible to count the number of signals in which voice incoming, voice outgoing, packet incoming, and packet outgoing are set as parameters of the RRC connection request signal. The standard specification “Radio Resource Control (RRC) Protocol Specification: 3GPP TS 25.331” stipulates the number of signals per sector in the RNC 300, and this method complies with this.

  The exchange 400 collects the location registration signals transmitted by the mobile device 100 via the BTS 200 and the RNC 300. The exchange 400 manages the mobile devices 100 and the like in units of location registration areas, and the number of mobile devices 100 registered in the location registration area by collecting the location registration signals transmitted by the mobile device 100 (number of registrations). For each location registration area. The exchange 400 outputs the number of 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. Here, in general, the RNC 300 is composed of about 1,000 pieces and is arranged throughout Japan. On the other hand, about 300 exchanges 400 are arranged in Japan.

  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. Performs statistical processing using information on signals and outgoing / incoming calls.

  The social sensor unit 501 is a server device that collects data including the number of registrations stored in each 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 in accordance with 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 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 BTSs 200, a plurality of mobile stations 100 located in sectors controlled by the plurality of BTSs 200, an RNC 300 that controls the BTSs 200, an exchange 400, and an information analysis apparatus 600. And comprising. 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 RNC communication control unit 302 can transmit an Initial UE Message used for communication connection processing to the exchange 400. In addition, this Initial UE Message can also add instruction information (location registration signal) indicating a transmission or location registration request, an ID that uniquely identifies the mobile device 100, and location information. Here, the ID may be, for example, ID information as a temporary ID 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 divided into a plurality of parts 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 calculate the GAI (Geographical Area ID) as to which position in the sector the mobile device 100 is located based on the signal delay obtained when the RRC connection request is further processed. it can. The position of the mobile device 100 can also be specified based on the sector identifier 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 is a part that measures the number of signals indicating the amount of signals transmitted and received by the mobile device 100 located in the sector and transmits the measured number of signals to the management center 500 via the RNC communication control unit 302. is there. Here, as the amount of signals transmitted and received by the mobile device 100, for example, the number of incoming voice calls, the number of incoming packets, the number of incoming voice calls, the number of outgoing packets, etc. determined by the method using the parameters of the RRC connection request signal described above. It is possible to use. However, there is no intention to limit to these.

  For example, the signal number measurement unit 304 counts the number of signals for which one of voice incoming, voice outgoing, packet incoming, and packet outgoing is set as a parameter of the RRC connection request signal described above for each signal type. Thus, the number of signals for each type of signal (hereinafter referred to as “number of signals”) for all mobile devices 100 located in a certain sector is measured, and the measured number of signals is transmitted to the management center via the RNC communication control unit 302. This is a part to be transmitted to 500. Here, it is not essential that the types of signals related to the “number of signals” are voice incoming, packet incoming, voice outgoing, and packet outgoing, and one of the four may be used. Two or more combinations may be used.

  However, there are four preferred priorities for use in the number of incoming voice calls, the number of incoming packets, the number of outgoing voices, and the number of outgoing calls. From the highest priority, the number of incoming packets, the number of incoming voice calls, the number of outgoing packets, The number of voice calls. Here, the reason why the number related to packet communication is given priority over the number related to voice communication is that the frequency of use of packet communication is generally higher than the frequency of use of voice communication. The reason why the number of incoming calls (number of incoming packets, number of incoming voice calls) is given priority over the number of outgoing calls (number of outgoing packets, number of outgoing voices) is as follows. That is, since the number of outgoing calls is generally related to the behavior of individual users, it increases when the user is at work, at home, or at a station, and decreases when the user is on a moving train. However, since the number of incoming calls does not have much relation to individual user behavior, it seems that there is almost no “bias according to time”. Because it is. Needless to say, even if the number of signals is measured from the number of voice transmissions and the number of packet transmissions, it can be sufficiently put into practical use.

  Next, the exchange 400 will be described. The exchange 400 includes an exchange communication control unit 401, a conversion unit 402, a storage unit 403, and a location registration signal processing unit 404. 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 exchange communication control unit 401 is a part that controls an operation of transmitting information such as the number of registrations and the number of signals stored in the storage unit 403 described later to the information analysis apparatus 600.

  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 are real numbers of the mobile device 100 registered in the location registration area based on the received location registration signal. It is a part to do.

  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 according to 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 signals received from the RNC 300 via the exchange communication control unit 401. Note that the storage unit 403 stores the number of signals for each type of signal. In addition, the telephone number converted by the conversion unit 402, the location information of the mobile device 100 included in the Initial UE Message, and the time when the location information was measured can be stored in association with each other. The number of registrations stored in the storage unit 403 is collected by the management center 500 in response to a predetermined timing or a request from the management center 500 in accordance with communication processing by the exchange communication control unit 401.

  Next, the information analysis apparatus 600 will be described. The information analysis device 600 includes an information analysis device communication control unit 601, a holding unit 602, a derivation unit 603, a location registration number estimation unit 604, an output unit 605, and a sector setting unit 606 as components related to the present invention. It is configured. Among these, the information analysis device communication control unit 601 is a part that controls communication between the information analysis device 600 and the exchange 400, and receives registration number information and signal number information for each sector from the exchange 400. As a result, the information analysis apparatus communication control unit 601 performs a location registration area boundary sector (hereinafter referred to as “LA boundary sector” in the present embodiment) as a sector near the boundary of the location registration area for a population distribution derivation process described later. Signal number information in non-position registration area boundary sectors (hereinafter referred to as “non-LA boundary sectors” in this embodiment) as non-position registration area boundary sectors, and non-LA boundary sectors Registration number information can be obtained.

  The holding unit 602 is a part that holds the registration number information and the signal number information received by the information analysis device communication control unit 601. Note that the holding unit 602 holds the signal number information for each type of signal.

  The deriving unit 603 derives a mathematical formula (for example, regression equation) for estimating the number of registrations in each of the LA boundary sectors based on the signal number information in the non-LA boundary sectors and the registration number information in the non-LA boundary sectors. is there. An example of the above formula will be described later.

  The location registration number estimation unit 604 is a part that estimates the registration number in each of the LA boundary sectors based on the formula derived by the deriving unit 603 and the signal number information in the LA boundary sector.

  The output unit 605 is a part that outputs population distribution information in units of sectors based on the number of registrations in each of the non-LA boundary sectors and the number of registrations in each of the LA boundary sectors estimated by the location registration number estimation unit 604. Needless to say, “output” here includes display output and print output widely. That is, the 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. The “output” includes a mode in which population distribution information is output in a file format for the purpose of use in other systems.

[About processing executed in communication system 10]
Next, processing executed in the communication system 10 as described above will be described with reference to FIGS.

  When a transmission request or a location registration request is output from the mobile device 100 and an RRC connection request is received by the RNC communication control unit 302 of the RNC 300, the RNC communication control unit 302 performs RRC in response to the request. A connection setup (RRC Connection setup) is transmitted to the mobile device 100. Then, an RRC connection setup complete signal is transmitted from the mobile device 100 to the RNC communication control unit 302 (step S101 in FIG. 4).

  The signal number measuring unit 304 of the RNC 300 counts the number of signals in which any of voice incoming, voice outgoing, packet incoming, and packet outgoing is set as a parameter of the RRC connection request signal for each sector for each signal type. Thus, the number of signals (that is, the number of signals for each signal type) is measured (step S102).

  The location registration signal receiving unit 303 adds the location registration signal to the Initial UE Message via the RNC communication control unit 302 and transmits it to the exchange 400 (step S103). Further, the RNC communication control unit 302 transmits the signal number information measured by the signal number measuring unit 304 to the exchange 400 (step S104).

  The location registration signal processing unit 404 of the exchange 400 measures the number of registrations, which is the real number of the mobile device 100 registered in the location registration area, based on the location registration signal transmitted by the mobile device 100 (step S105).

  The storage unit 403 of the exchange 400 stores the number of registrations measured by the position registration signal processing unit 404 and the number of signals measured by the signal number measurement unit 304 (step S106). At this time, the signal number information is stored in the storage unit 403 for each signal type. The stored registration number information and signal number information are transmitted to the management center 500 via the exchange communication control unit 401 at regular intervals or in response to a request from the management center 500. Thereby, the information analysis apparatus 600 corresponding to the mobile demography unit 503 and the visualization solution unit 504 in the management center 500 can receive the registration number information and the signal number information in units of sectors.

  By the way, in the information analysis apparatus 600, the following sector setting process is executed by the sector setting unit 606 at regular intervals or in response to a request from the operator (step S100). That is, the sector setting unit 606 classifies and sets sectors as LA boundary sectors and non-LA boundary sectors. Although the classification method here is not limited to a specific method, an example of the method is described below based on FIG. FIG. 5 shows a large number of sectors each represented by a hexagon, and “LAI =” shown in each sector indicates a location registration area identifier (LAI) to which each sector belongs. A sector with “LAI = 1” belongs to a location registration area with an identifier “1”, and a sector with “LAI = 2” belongs to a location registration area with an identifier “2”. In FIG. 5, the boundary of the location registration area is indicated by a bold line. The sector setting unit 606 checks the location registration area identifier (LAI) of all sectors adjacent to the target sector in one target sector (target sector). As a result, when the location registration area identifiers of all adjacent sectors are common, as in the sector not hatched in FIG. 5, it can be determined that the target sector is not in contact with the location registration area boundary. The sector setting unit 606 sets the target sector as a non-LA boundary sector. On the other hand, when the position registration area identifiers of all adjacent sectors are not common (that is, “1” and “2” are mixed) like the hatched sector in FIG. Since it can be determined that it is in contact with the registered area boundary, the sector setting unit 606 sets the target sector as the LA boundary sector.

  As described above, in a situation where each sector is classified and set in advance as an LA boundary sector and a non-LA boundary sector, the information analysis device communication control unit 601 receives the registration number information and the signal number information for each sector ( Step S107). Thereby, the information analysis device communication control unit 601 acquires the signal number information in the LA boundary sector, the signal number information in the non-LA boundary sector, and the registration number information in the non-LA boundary sector. The received registration number information and signal number information are held by the holding unit 602. At this time, the signal number information is held by the holding unit 602 for each type of signal.

Next, the deriving unit 603 derives a mathematical formula for estimating the number of registrations in each LA boundary sector based on the signal number information in the non-LA boundary sector and the registration number information in the non-LA boundary sector (step S108). . For example, the following regression equation (1) can be adopted as the formula here.
Number of registrations in each of the LA boundary sectors = a ₁ × number of voice calls + a ₂ × number of voice calls + a ₃ × number of packet calls + a ₄ × number of packet calls + constant k (1)
In step S108, the deriving unit 603 uses the signal number information and the registered number information in a plurality of non-LA boundary sectors, and the coefficients a ₁ , a ₂ , a ₃ , a ₄ and the constant k in the regression equation (1). Is calculated, and the regression equation (1) is derived.

  Then, the location registration number estimation unit 604 estimates the registration number for each LA boundary sector by applying the signal number information in the LA boundary sector to the derived regression equation (1) (step S109).

Further, the output unit 605 obtains population information for each sector by integrating the registration number information for each non-LA boundary sector and the estimated registration number information for each LA boundary sector, and obtains the population distribution for each sector in two dimensions. A population distribution map for each sector is output (step S110). FIG. 6 shows an example of a population distribution chart in units of sectors. In FIG. 6, A to L represent sector IDs, and the number below each sector ID represents an estimated value of the population of the sector. In the example of FIG. 6, the coefficients a ₁ , a ₂ , a ₃ , a ₄ and the constant k in the regression equation (1) are calculated as numerical values up to the first decimal place, and the regression equation (1) is derived. An example in which population information for each sector is obtained and a population distribution map is output is shown.

  According to the first embodiment described above, it is possible to easily and quickly collect highly accurate data regarding the macroscopic population distribution. At this time, the number of registrations in each of the LA boundary sectors is estimated based on the registration number information and the signal number information in each of the non-LA boundary sectors without using the registration number information in each of the LA boundary sectors. Inconvenience assumed when the registration number information in each of the LA boundary sectors is used as a basis for deriving the mathematical formula (for example, a location registration signal considerably larger than the actual population number is generated near the location registration area boundary. ) Can be prevented.

  Further, in order to derive a mathematical formula (for example, the regression equation (1) above) for estimating the number of registrations in each of the LA boundary sectors, and to estimate the registration number in each of the location registration area boundary sectors using this mathematical formula, It is possible to collect data on macroscopic population distribution more easily and quickly than in the conventional technique in which a detailed current position for each user is obtained based on the GPS position information of each user to grasp the detailed population distribution situation.

  In the above-described first embodiment, an example of calculating a population distribution in units of sectors has been shown. However, by performing a process of counting the population of sectors belonging to the same location registration area for each location registration area, It is possible to calculate the population distribution for each registered area. For example, the population of the location registration area to which the sectors A to E in FIG. 6 belong and the population of the location registration area to which the sectors F to L belong are calculated, and as shown in FIG. By applying the corresponding notation (color coding, diagonal lines, shading, etc.), it is possible to output a diagram representing the population distribution of the location registration area as well as the population distribution of the sector unit.

  In the first embodiment described above, when deriving a mathematical formula for estimating the number of registrations in each of the LA boundary sectors, one of the number of voice calls, the number of voice calls, the number of packet calls, the number of packet calls or Although it is based on a plurality of combinations, it may be based on the number of GPS positioning result signals periodically output from the mobile device. That is, if the number of GPS positioning result signals is counted for each sector where the mobile device is located from the GPS positioning result signals from each mobile device, the number of GPS positioning result signals in units of sectors can be obtained. The number of GPS positioning result signals in units of sectors can be used in place of the number of signals in the first embodiment. Also in this case, since a high-load process such as specifying a detailed current position for each user is not performed, data on a macroscopic population distribution can be collected easily and quickly.

[Second Embodiment]
FIG. 8 is a system configuration diagram of the communication system 10a of the second embodiment. As shown in FIG. 8, 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 second embodiment is a system configuration when applied to LTE, and the specific processing content is the same as that of the first embodiment described above, and therefore detailed description thereof is omitted. In the first embodiment, the protocol is RANAP (Radio Access Network Application Part). However, in the second embodiment, S1AP (S1 Application protocol) used in LTE is used, and Initial UE Message is used. The same signal is also used in S1AP.

  In the first and second embodiments, the third generation mobile phone (3G) system has been described. However, 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 ... Derivation section, 604 ... Location registration number estimation section, 605 ... Output section, 606 ... Sector setting section.

Claims (7)

Number of transmitted / received signal information for each sector type indicating the number of transmitted / received signals of the mobile device in each of the plurality of sectors constituting the location registration area, and the position of the sector unit indicating the number of registered mobile devices in each sector A receiving unit for receiving registration number information from the outside;
The position registration in each of the non-position registration area boundary sectors as sectors other than the position registration area boundary sector is calculated using a mathematical formula for estimating the number of position registrations in each of the position registration area boundary sectors as sectors near the boundary of the position registration area. A deriving unit for deriving based on the number information and the number of transmitted / received signal information in each of the non-location registration area boundary sectors;
A position registration number estimation unit that estimates the number of position registrations in each of the position registration area boundary sectors, based on the derived mathematical formula and the number of transmission / reception signal information in each of the position registration area boundary sectors;
An information analysis apparatus comprising: Send / receive signal count information
It includes at least one of information on the number of incoming packets to the mobile device, information on the number of incoming voice calls to the mobile device, information on the number of outgoing packets from the mobile device, and information on the number of outgoing voice calls from the mobile device. Item 4. The information analysis apparatus according to Item 1.   The information analysis apparatus according to claim 1, further comprising a sector setting unit configured to classify and set the sector into a position registration area boundary sector and a non-position registration area boundary sector. The sector setting unit
A sector where the location registration area identifier of all adjacent sectors is common is set as a non-location registration area boundary sector,
The information analysis apparatus according to claim 3, wherein a sector whose location registration area identifiers of all adjacent sectors are not common is set as a location registration area boundary sector. An output unit that outputs population distribution information in units of sectors based on the estimated number of position registrations in each of the position registration area boundary sectors and the number of position registrations in each of the non-position registration area boundary sectors;
The information analysis device according to any one of claims 1 to 4, further comprising: The output unit is
6. The information analysis apparatus according to claim 5, wherein the population of sectors belonging to the same location registration area is aggregated for each location registration area, and population distribution information for each location registration area obtained by the aggregation is output. An information analysis method executed by an information analysis device,
Number of transmitted / received signal information for each sector type indicating the number of transmitted / received signals of the mobile device in each of the plurality of sectors constituting the location registration area, and the position of the sector unit indicating the number of registered mobile devices in each sector A reception step of receiving registration number information from the outside;
The position registration in each of the non-position registration area boundary sectors as sectors other than the position registration area boundary sector is calculated using a mathematical formula for estimating the number of position registrations in each of the position registration area boundary sectors as sectors near the boundary of the position registration area. Deriving step for deriving based on the number information and the number of transmitted / received signal information in each of the non-location registration area boundary sectors;
A location registration number estimation step for estimating the number of location registrations in each of the location registration area boundary sectors based on the derived mathematical formula and the number of transmitted / received signal information in each of the location registration area boundary sectors;
An information analysis method comprising:

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