JP4957613B2 - Facility information collecting apparatus, facility information collecting method and program - Google Patents

Description

  The present invention relates to a facility information collecting apparatus, a facility information collecting method, and a program for collecting information from a facility.

Conventionally, various techniques for collecting information from facilities such as stores have been proposed.
For example, by obtaining the number displayed on the license plate of the vehicle entering and exiting the parking lot by the photographing device installed at the entrance of the parking lot such as a store, and identifying each vehicle by the number etc. There is a customer information collection device configured to create a travel history database of vehicles entering and exiting a store (see, for example, Patent Document 1).
JP 2005-1000017 (paragraphs (0006) to (0020), FIGS. 1 to 11)

  However, in the configuration described in Patent Document 1 described above, the address, visit time, stay time, and the like of customers entering and exiting each store can be estimated from the numbers displayed on the license plate, etc. There is a problem that gender and age group cannot be estimated.

  Therefore, the present invention has been made to solve the above-described problems, and provides a facility information collection device, a facility information collection method, and a program that can estimate the user group of the facility. Objective.

  In order to achieve the object, the facility information collecting apparatus according to claim 1 includes vehicle information collecting means (17) for collecting vehicle information including characteristics of a vehicle body of a vehicle parked in the facility, vehicle owner information and vehicle body information. A statistical information storage means (16) for storing statistical information in association with features, and a plurality of vehicle information collected by the vehicle information collection means and the user information of the facility are estimated based on the statistical information. It comprises a user estimation means (10) and facility information storage means (16) for storing the user layer estimated by the user estimation means and the facility in association with each other.

  Further, the facility information collecting apparatus according to claim 2 is the facility information collecting apparatus (3) according to claim 1, wherein the owner information includes gender, and the user estimating means (10) When the gender corresponding to the feature of each vehicle body included in the vehicle information is specified by one gender at a predetermined ratio or more, it is estimated that the facility has many users of the specified gender. .

  Moreover, the facility information collection device according to claim 3 is the facility information collection device (3) according to claim 1 or 2, wherein the owner information includes an age group, and the user estimation means includes: When the age group corresponding to the characteristics of each vehicle body included in the plurality of vehicle information is specified as any age group of a predetermined ratio or more, it is estimated that the facility has many users of the specified age group It is characterized by doing.

The facility information collecting method according to claim 4 is executed by an apparatus including at least a control unit, a storage unit, and vehicle information collecting means for collecting vehicle information including characteristics of a vehicle body of a vehicle parked in the facility. The facility information collecting method, wherein the storage unit includes statistical information storage means for storing statistical information in which vehicle owner information and vehicle body characteristics are associated with each other, and is executed by the control unit, Based on a vehicle information collection step of collecting the vehicle information via a vehicle information collection unit, the statistical information stored in the statistical information storage unit, and a plurality of vehicle information collected in the vehicle information collection step A user estimation step for estimating a user layer of the facility; and a facility information storage step for storing the user layer estimated in the user estimation step and the facility in association with each other in the storage unit . It is characterized by that.

Furthermore, the program according to claim 5 includes a storage unit having statistical information storage means for storing statistical information in which vehicle owner information and vehicle body characteristics are associated with each other, and vehicle body characteristics of a vehicle parked in a facility. A vehicle information collecting means for collecting vehicle information; a vehicle information collecting step for collecting the vehicle information via the vehicle information collecting means; and a statistical information stored in the statistical information storage means. A user estimation step for estimating a user layer of the facility based on a plurality of vehicle information collected in the vehicle information collection step, a user layer estimated in the user estimation step, and the facility And a facility information storage step for storing the information in the storage unit in association with each other.

  In the facility information collection device according to claim 1 having the above-described configuration, it is possible to estimate and store a user group of the facility by collecting a plurality of vehicle information including the characteristics of the vehicle body from the facility. Become. Thereby, it becomes possible to provide the information regarding the user layer of each facility to the manager and user of the facility.

  Further, in the facility information collecting apparatus according to claim 2, it is possible to estimate the gender of the main user of the facility by collecting a plurality of vehicle information including the characteristics of the vehicle body from the facility.

  Further, in the facility information collecting apparatus according to claim 3, it is possible to estimate the age group of the main user of the facility by collecting a plurality of vehicle information including the characteristics of the vehicle body from the facility. .

  Further, in the facility information collecting method according to claim 4, by collecting a plurality of vehicle information including the characteristics of the vehicle body of the vehicle from the facility, it is possible to estimate and store the user layer of the facility. Thereby, it becomes possible to provide the information regarding the user layer of each facility to the manager and user of the facility.

  Further, in the program according to claim 5, when the computer reads the program, the computer collects a plurality of vehicle information including the characteristics of the vehicle body from the facility, thereby estimating the user group of the facility. And memorize it. Accordingly, the computer can provide information regarding the user layer of each facility to the manager and user of the facility.

  Hereinafter, a facility information collection device, a facility information collection method, and a program according to the present invention will be described in detail with reference to the drawings based on an embodiment in which the information collection system is embodied.

  First, a schematic configuration of the information collection system 1 according to the present embodiment will be described with reference to FIGS. 1 and 2. FIG. 1 is a diagram illustrating a schematic configuration of an information collection system 1 according to the present embodiment. FIG. 2 is a block diagram showing the information collection system 1.

  As shown in FIG. 1, the information collection system 1 according to the present embodiment includes a navigation device 2, an information distribution center 3, a network 4, and drug stores, convenience stores, shopping centers, etc. that can be connected to the network 4. It is basically composed of a PC (Personal Computer) 7 owned by the store 5 (each facility). The navigation device 2 and the information distribution center 3, and the PC 7 and the information distribution center 3 are configured to be able to transmit and receive various types of information via the network 4, respectively. In each store 5, a camera 8 constituted by a CCD camera or the like is installed so that the vehicles 101 to 103 parked in the store 5 can be photographed.

  As the network 4, for example, a communication system such as a LAN (Local Area Network), a WAN (Wide Area Network), an intranet, a mobile phone network, a telephone network, a public communication network, a dedicated communication network, a communication network such as the Internet Can be used. In addition, the navigation device 2 and the information distribution center 3 can receive traffic information such as traffic congestion information and traffic regulation information from a road traffic information center (not shown) via the network 4 every predetermined time. It is configured to be possible.

  As shown in FIG. 2, the PC 7 controls the communication device 25 that communicates with the information distribution center 3 via the network 4 and the camera 8 and performs image recognition on the video signal of the camera 8 to perform image recognition. And an image recognition unit 26. Further, the PC 7 acquires the characteristics of the vehicle body of the vehicle parked in the store 5 (for example, the vehicle type, color, vehicle type name (coupe, sedan, etc.)) by the image recognition unit 26, and date / time data at the time of acquisition. Remember with.

  Then, the PC 7 sets the store 5 in the characteristics of the body of the vehicle parked in the stored store, the date / time data, etc. at predetermined time intervals (for example, approximately every 1 hour or approximately every 3 hours). The store identification ID to be identified is attached and transmitted to the information distribution center 3 as vehicle information.

  For example, as shown in FIG. 1, when a vehicle 101 of a white vehicle type A is parked in the store 5, the PC 7 has vehicle information such as the vehicle type “vehicle type A”, the vehicle body color “white”, the parking date and time, and the store identification ID. Is transmitted to the information distribution center 3. When the vehicle 102 of the blue vehicle type B is parked in the store 5, the PC 7 transmits vehicle information such as the vehicle type “vehicle type B”, the vehicle body color “blue”, the parking date and time, and the store identification ID to the information distribution center 3. To do.

  As shown in FIG. 2, the navigation device 2 includes a communication device 21 that communicates with the information distribution center 3 via the network 4.

  As shown in FIG. 2, the information distribution center 3 includes a server 10, a center side map information database (center side map information DB) 14 as a map information recording unit connected to the server 10, and navigation update history information. A database (navigation update history information DB) 15, a store information database (store information DB) 16, and a center side communication device 17 are provided.

  In addition, the server 10 is based on requests from the navigation device 2 and the arithmetic unit that controls the entire server 10 and the CPU 11 as the control unit, the RAM 12 that is used as a working memory when the CPU 11 performs various arithmetic processes. Of the map information stored in the navigation device 2, the update information for updating the map information of the predetermined area to the new version of the map information is extracted from the center side map information DB 14 and distributed to the navigation device 2. Various kinds of information update processing and user estimation processing (see FIG. 4) for estimating the user group of each store 5 based on vehicle information received from facilities such as each store 5 as described later And an internal storage device such as a ROM 13 in which the control program is recorded, a timer 19 for measuring time, and the like.

  In the center-side map information DB 14, update map information 14A, which is map information that is the basis for updating the map information created by the information distribution center 3 and stored in the navigation device 2, is classified for each version. Is remembered. Furthermore, update information for updating part or all of the map information stored in the current navigation device 2 to the update map information 14A is also stored. Here, the version is creation time information for specifying the time when the map information is created, and the time when the map information is created can be specified by referring to the version.

  The update map information 14A stored in the center-side map information DB 14 stores various information necessary for route guidance and map display by the navigation device 2, for example, for displaying a map. Map display data, intersection data related to each intersection, node data related to node points, link data related to roads (road links) as a kind of facility, search data for searching for routes, POIs such as stores as a kind of facility Stores related to (Interest), search data for searching points, and the like.

  Then, the information distribution center 3 uses the latest version of the update map information 14A stored in the center-side map information DB 14 at the timing when the request is received from the navigation device 2, and the navigation device 2 uses the latest version of the update map information 14A. Update the map information stored in.

  In the navigation update history information DB 15, information related to the update history in which the map information stored in the navigation device 2 has been updated so far is stored together with the navigation identification ID that identifies the navigation device 2. As the update history, which version of map information is used for each of the three distribution road classifications of the high-standard road classification, the general road classification, and the narrow street classification in the link data and node data constituting the map information specifically Every time the map information of the navigation device 2 is updated, it is rewritten to a new update history.

  In addition, the store information DB 16 stores vehicle information received from each store 5 and stores owner information such as the purchaser of the vehicle, that is, the gender and age of the vehicle owner, for the vehicle type and the body color of each vehicle. Gender / age statistical information 16A (see FIG. 3) obtained by collecting and statistically processing is stored.

Here, an example of the data structure of the sex / age statistical information 16A stored in the store information DB 16 will be described with reference to FIG.
As shown in FIG. 3, in the gender / age statistical information 16A, a vehicle type 51C and a vehicle body color 51D are associated with each gender 51A and age 51B of the vehicle owner.

  The lower data of the sex 51A is age 51B. This age 51B is divided for each age group, “no distinction” in which the age of the vehicle owner cannot be specified, “20s” representing the 20s, “30s” representing the 30s,. . Further, the lower data of the age 51B is a vehicle type 51C and a vehicle body color 51D.

  For example, when the gender 51A is “no distinction” where the gender cannot be distinguished, and the age 51B is “no distinction” where the age cannot be specified, the vehicle type 51C and the vehicle body color 51D are “white” of “vehicle type A”, “vehicle type A”. "紺" and "Silver" of "Car type B" are stored. That is, the vehicle owners of “white vehicle type A”, “dark blue vehicle type A”, and “silver color vehicle type B” are of all ages for both men and women.

Next, in the information collection system 1 having the above-described configuration, a user estimation process in which the CPU 11 of the information distribution center 3 estimates the user layer of each store 5 based on the vehicle information collected from each store 5 is shown in FIG. Based on
FIG. 4 is a flowchart illustrating a user estimation process in which the CPU 11 of the information distribution center 3 according to the present embodiment estimates the user layer of each store 5 based on the vehicle information collected from each store 5. Note that the program shown in the flowchart of FIG. 4 is stored in the ROM 13 provided in the information distribution center 3 and is executed by the CPU 11.

  As shown in FIG. 4, first, in step (hereinafter abbreviated as “S”) 11, the CPU 11 receives vehicle information (for example, vehicle type, body color, parking date and time, store identification ID, etc.) from each store 5. If received, the received vehicle information is temporarily stored in the RAM 12. And CPU11 reads store identification ID from the vehicle information memorize | stored in RAM12, matches the said vehicle information with this store identification ID, and memorize | stores it in store information DB16.

  Subsequently, in S12, the CPU 11 again reads out the store identification ID from the vehicle information stored in the RAM 12, counts the number of vehicle information stored in the store information DB 16 in association with the store identification ID, and exceeds a predetermined number. (For example, it is 100 or more.) A determination process for determining whether or not it is stored is executed.

If the number of vehicle information stored in association with the store identification ID is less than a predetermined number (for example, less than 100) (S12: NO), the CPU 11 ends the process.
On the other hand, when the number of vehicle information stored in association with the store identification ID is equal to or greater than a predetermined number (for example, 100 or more) (S12: YES), the CPU 11 proceeds to the process of S13. .

  In S13, the CPU 11 sequentially reads “vehicle type” and “body color” from each vehicle information stored in the store information DB 16 in association with the store identification ID, and from the sex / age statistics information 16A, “ The gender 51A corresponding to “vehicle type” and “vehicle color” is read out and sequentially stored in the RAM 12.

  Thereafter, the CPU 11 counts the numbers of “no distinction”, “male”, and “female” of the sex 51 A stored in the RAM 12, sequentially calculates the ratio of each number to the total number, and stores it in the RAM 12. Subsequently, the CPU 11 sequentially reads the ratio of the “male” number to the total number and the ratio of the “female” number to the total number from the RAM 12, and selects either the “male” number or the “female” number. A determination process for determining whether the ratio to the total number is 50% or more is executed.

When the ratio of the number of “male” and the number of “female” to the total number is less than 50% (S13: NO), the CPU 11 proceeds to the process of S15 described later.
On the other hand, if the ratio of the number of “male” or the number of “female” to the total number is 50% or more (S13: YES), the CPU 11 proceeds to the process of S14.

In S <b> 14, when the ratio of the number of “male” to the total number is 50% or more, the CPU 11 reads the store identification ID again from the vehicle information stored in the RAM 12 in S <b> 11 and corresponds to the store identification ID. In addition, store information to which information indicating “many users are many” is stored in the store information DB 16.
Further, when the ratio of the number of “female” to the total number is 50% or more, the CPU 11 reads the store identification ID again from the vehicle information stored in the RAM 12 in S11 and associates it with the store identification ID. Then, store information to which information indicating “there are many female users” is stored in the store information DB 16.

  Subsequently, in S15, the CPU 11 reads the store identification ID again from the vehicle information stored in the RAM 12 in S11, and obtains “vehicle type” from each vehicle information stored in the store information DB 16 in association with the store identification ID. The “vehicle body color” is read in order, and the age 51B corresponding to the “vehicle type” and the “vehicle body color” is read from the sex / age statistical information 16A and stored in the RAM 12 sequentially.

  Thereafter, the CPU 11 counts the number of each age group of “no distinction”, “20s”, “30s”,... Of the age 51B stored in the RAM 12, and stores it in the RAM 12 corresponding to each age group. Remember. Then, the CPU 11 sequentially calculates the ratio of the number of each age group to the total number for each age group and stores it in the RAM 12. Subsequently, the CPU 11 sequentially reads the ratio of the number of each age group to the total number from the RAM 12, and whether there is a ratio of 50% or more, that is, the number of any age group is relative to the total number. It is determined whether it is 50% or more.

When the ratio of the number of each age group to the total number is less than 50% (S15: NO), the CPU 11 ends the process.
On the other hand, when the number of any age group becomes 50% or more with respect to the total number (S15: YES), the CPU 11 proceeds to the process of S16.

  In S <b> 16, the CPU 11 is an age group (for example, “20s”) corresponding to a number that is 50% or more of the total number from the number stored in the RAM 12 corresponding to each age group in S <b> 15. .) Is read from the RAM 12. Then, the CPU 11 reads out the store identification ID again from the vehicle information stored in the RAM 12 in S11, and associates it with the store identification ID to indicate that “there are many users in the age group” (for example, “use in 20's” Store the store information to which the information of “there are many people” is stored in the store information DB 16, and the process is terminated.

  As described above in detail, in the information collection system 1 according to the present embodiment, the CPU 11 of the information distribution center 3 determines the characteristics of the vehicle body parked in the store 5 (for example, “vehicle type”) from the store 5 (facility). The vehicle information (for example, vehicle type, vehicle body color, parking date and time, store identification ID, etc.) is collected by collecting a predetermined number or more of the vehicle information based on the vehicle information. 5 (facility) of the main user's gender (“male” or “female”) and age group (for example, “20's” etc.) are estimated, and the store identification of the store 5 is stored in the store information DB 16. It can be stored as store information in association with the ID. Thereby, the CPU 11 can distribute the store information stored in the store information DB 16 in association with the store identification ID of each store 5 to the PC 7 and the navigation device 2 of each store 5 (facility).

  In addition, this invention is not limited to the said Example, Of course, various improvement and deformation | transformation are possible within the range which does not deviate from the summary of this invention.

  For example, the model name 51C may be used instead of the model 51C of the sex / age statistics information 16A. This makes it possible to easily identify the characteristics of the vehicle body.

It is a figure which shows schematic structure of the information collection system which concerns on a present Example. It is the block diagram which showed the information collection system. It is a figure which shows an example of the data structure of the sex and age statistical information stored in shop information DB. It is a flowchart which shows the user estimation process which CPU of an information delivery center estimates the user layer of each said shop based on the vehicle information collected from each shop.

Explanation of symbols

1 Information collection system 2 Navigation device 3 Information distribution center 4 Network 5 Store 7 PC
8 Camera 10 Server 11 CPU
12 RAM
13 ROM
14 Center side map information DB
16 Store information DB
16A Gender and age statistical information 17 Center side communication device 21, 25 Communication device

Claims (5)

Vehicle information collecting means for collecting vehicle information including the characteristics of the vehicle body of the vehicle parked at the facility;
Statistical information storage means for storing statistical information in which vehicle owner information and vehicle body characteristics are associated with each other;
User estimation means for estimating a user group of the facility based on a plurality of vehicle information collected by the vehicle information collection means and the statistical information;
Facility information storage means for storing the user layer estimated by the user estimation means and the facility in association with each other;
A facility information collecting apparatus comprising: The owner information includes gender,
In the case where the gender corresponding to the characteristics of each vehicle body included in the plurality of vehicle information is specified by one gender at a predetermined ratio or more, the user estimation means is a facility having many users of the specified gender. The facility information collecting apparatus according to claim 1, wherein the facility information collecting apparatus is estimated to be. The owner information includes an age group,
When the age group corresponding to the characteristics of each vehicle body included in the plurality of vehicle information is specified as any age group of a predetermined ratio or more, the user estimation unit uses the specified age group. The facility information collecting apparatus according to claim 1, wherein the facility information collecting device estimates that the facility has many persons. A facility information collection method executed by an apparatus comprising at least a control unit, a storage unit, and vehicle information collection means for collecting vehicle information including characteristics of a vehicle body of a vehicle parked in the facility,
The storage unit includes statistical information storage means for storing statistical information in which vehicle owner information and vehicle body characteristics are associated with each other.
Executed by the control unit;
A vehicle information collecting step of collecting the vehicle information via the vehicle information collecting means ;
A user estimation step of estimating a user layer of the facility based on the statistical information stored in the statistical information storage means and a plurality of vehicle information collected in the vehicle information collection step;
A facility information storage step for storing the user layer estimated in the user estimation step and the facility in association with each other in the storage unit ;
A facility information collection method characterized by comprising: A storage unit having statistical information storage means for storing statistical information in which vehicle owner information and vehicle body characteristics are associated; vehicle information collection means for collecting vehicle information including vehicle body characteristics of a vehicle parked in a facility; A computer equipped with at least
A vehicle information collecting step of collecting the vehicle information via the vehicle information collecting means ;
A user estimation step of estimating a user layer of the facility based on the statistical information stored in the statistical information storage means and a plurality of vehicle information collected in the vehicle information collection step;
A facility information storage step for storing the user layer estimated in the user estimation step and the facility in association with each other in the storage unit ;
A program for running

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