JP7260501B2 - Platform content selection system and platform content selection method - Google Patents

Description

The present invention relates to a platform content selection system and a platform content selection method for selecting content to be output to passengers at an elevator platform.

Conventionally, there is a technique described in Japanese Patent Application Laid-Open No. 2017-171422 (Patent Document 1) for providing contents such as advertisements to elevator passengers. The bulletin states, ``An advertisement delivery device installed in an elevator car detects that a passenger has exited the car based on the radio wave intensity of the communication between the advertisement delivery device and the mobile terminal carried by the passenger. and the floor where the passenger exited the car (
destination floor) to the passenger's mobile device. ” is written.

JP 2017-171422 A

In Patent Literature 1, passengers need to view advertisements on mobile terminals after getting off the train, and the content of the advertisements is limited to the destination floor. When the target and content of the advertisement are limited in this way, it is difficult to fully exhibit the advertising effect. In addition, passengers often get off at the destination floor for a specific purpose, so even if the advertisement is sent after getting off the vehicle, a high advertising effect cannot be expected. This problem is not limited to advertisements, and similarly arises when providing content that seeks the attention of passengers, such as for communication and entertainment purposes.

Accordingly, an object of the present invention is to effectively provide various contents to passengers.

In order to achieve the above object, one of the hall contents selection systems and hall contents selection methods of the present invention is to determine the attributes of passengers waiting for a car based on the floor of the hall where the service request is received. It estimates, selects content corresponding to the estimated attributes, and outputs the selected content to passengers at the elevator hall.

According to the present invention, various contents can be effectively provided to passengers. Problems, configurations, and effects other than those described above will be clarified by the following description of the embodiments.

1 is a configuration diagram of a platform content selection system according to the present invention; FIG. FIG. 2 is a functional block diagram of a platform content selection system according to the present invention; Explanatory drawing about learning of the boarding/alighting track record. Explanatory drawing of the specific example of the boarding/alighting track record. Explanatory drawing of the specific example of the specification of an installation place. Explanatory diagram of data for managing office tenants. Explanatory diagram of data for managing commercial tenants. Explanatory drawing of a commercial tenant's place of residence. Explanatory drawing of content data. 4 is a flowchart showing the procedure of content display control; 4 is a flowchart showing a content selection procedure;

An embodiment will be described below with reference to the drawings.

FIG. 1 is a configuration diagram of a platform content selection system according to the present invention. As shown in FIG. 1 , the platform content selection system includes an operation management device 10 , a database 20 , an elevation control device 30 , an in-car display device 40 , a service request device 50 and a platform display device 60 .

The elevator control device 30 and the in-car display device 40 are provided for each elevator car. The elevation control device 30 is a device that receives instructions from the operation management device 10 and controls the elevation of the car. The in-car display device 40 is a device that operates as an output unit that outputs a display to passengers in the car. The in-car display device 40 can display the current location of the car, the destination floor, and the like. It is also possible to output content such as advertisements to passengers in the car.

The service request device 50 and the hall display device 60 are provided for each hall on each floor. Here, the floor identifies the floors forming a hierarchy in a building in which an elevator is installed. A car of an elevator moves up and down on a hierarchical floor, and the current location and destination floor are identified by the floor. The service request device 50 has buttons corresponding to the direction of the destination floor (up and/or down). The operation of this button is a service request from the passenger to the elevator, that is, a "call". The service request device 50 notifies the operation management device 10 of reception of the service request when the button operation is received. The reception notification of the service request includes the floor of the boarding point where the service request is received and the direction of the destination floor. In addition, we have adopted an up-and-down platform button that has a button height that is assumed to be operated while sitting in a wheelchair (lower button) and a button height that is assumed to be operated while standing (upper button). In this configuration, which button was operated is also included in the reception notification of the service request.

The hall display device 60 is a device that operates as an output unit that outputs a display to passengers waiting for the arrival of the car at the hall of the elevator. The platform display device 60 displays content such as advertisements instructed by the operation management device 10 .

The operation management device 10 receives a service request reception notification from the service request device 50 and controls the operation of the car. In addition, the operation management device 10 learns the number of passengers by time zone, by user attribute, by departure floor, and by destination floor, and the number of passengers waiting for a car based on the floor of the boarding hall where the service request is received. An attribute is estimated, and content corresponding to the estimated attribute is selected and output to the platform display device 60. - 特許庁The database 20 is a storage device that stores various data used by the operation management device 10 .

FIG. 2 is a functional block diagram of the platform content selection system according to the present invention. As shown in FIG. 2, the boarding point content selection system includes a car control requesting unit 11, a learning unit 12, an estimating unit 13, and a content selecting unit 14 as functional units. Tenant data 23 and content data 24 are used. For example, by executing a predetermined program, the operation management device 10 is configured to realize the functions of the car control requesting unit 11, the learning unit 12, the estimating unit 13, and the content selecting unit 14, and the database 20 stores boarding/alighting record data. 21, installation site specification data 22, tenant data 23 and content data 24 may be stored.

Upon receiving a service request acceptance notification from the service request device 50, the car control request unit 11 responds to the service request based on the state of each car (current location, destination floor, number of passengers, call allocation status, etc.). This car is assigned, a lift request is sent to the lift control device 30, and the operation of the car is controlled.

The learning unit 12 learns the boarding/alighting records for each floor using the results of the operation control by the car control requesting unit 11 , and registers them in the boarding/alighting record data 21 . The number of passengers on each floor (the number of passengers whose departure floor is the relevant floor) and the number of passengers who get off the car (the number of passengers whose destination floor is the relevant floor) can be identified using changes in the weight of the car. Furthermore, the learning unit 12 learns boarding/alighting records for each time zone and each passenger's attribute. Passenger attributes may be given depending on which button of the up-and-down platform buttons is operated. Moreover, you may estimate sex and age from the image of the passenger which provided the camera and imaged. Further, data may be acquired from a portable terminal or an ID card and attributed to the passenger.

The estimating unit 13 receives notification of the occurrence of the service request from the car control requesting unit 11, and estimates attributes of passengers waiting for the car based on the floor of the boarding point that received the service request. Specifically, the estimating unit 13 first refers to the installation location specification data 22 to identify the office tenants occupying the floor for which the service request has been accepted. Then, by reading the personnel composition of the specified office tenant from the tenant data 23, the personnel composition of the users who use the floor for which the service request is received as an office is acquired. The estimation unit 13 estimates attributes of passengers based on the acquired personnel composition. Furthermore, the estimation unit 13 estimates the destination floor using the current time and the boarding/alighting record data 21 .

The content selection unit 14 selects content corresponding to the attribute of the passenger and the destination floor estimated by the estimation unit 13 from the content data 24 and causes the platform display device 60 to output the content display instruction.

FIG. 3 is an explanatory diagram of learning of boarding/alighting records. In FIG. 3, the results of the learning of boarding/alighting records are indicated by the traffic volume in the down direction and the traffic volume in the up direction. Specifically, the traffic volume at the time of going to work is distributed in the region M2, in which the downward direction is small and the upward direction is large. The traffic volume at lunchtime is distributed in the region M3, in which both the downward direction and the upward direction are large. The traffic volume at the time of leaving work is distributed in an area M4 where there is a large amount of traffic in the down direction and a small amount in the up direction. The traffic volume during normal times is distributed in a region M1 in which both the down direction and the up direction are moderate, and the traffic volume in off-peak times is distributed in the region M0 where both the down direction and the up direction are low.

FIG. 4 is an explanatory diagram of a specific example of boarding/alighting records. FIG. 4 shows the boarding/alighting results at the time of going to work from floor "1FL" indicating the first floor, which is the ground floor, to floor "10FL" indicating the tenth floor, which is the top floor. It should be noted that the case where the destination direction is upward is indicated as "UP direction", and the case where the destination direction is downward is indicated as "DOWN direction".

In the results of getting on and off at the time of going to work shown in FIG. 4, the number of passengers in the UP direction is generally larger than the number of passengers in the DOWN direction. In particular, the number of passengers on the UP side of floor "1FL" is remarkably large. In this way, the boarding/alighting results for each floor show characteristics according to the time zone. For example, in the first half of lunchtime, the number of passengers in the DOWN direction is generally larger than the number of passengers in the UP direction, and the number of passengers getting off on the DOWN side of floors "1FL" and "2FL" is significantly larger. Also, in the latter half of the lunch hour, the number of passengers on the UP side of floors "1FL" and "2FL" increases. At the time of leaving work, the number of passengers in the DOWN direction is generally greater than the number of passengers in the UP direction, and in particular, the number of passengers getting off on the DOWN side of floor "1FL" is significantly greater.

FIG. 5 is an explanatory diagram of a specific example of the specifications of the installation site. The installation site specifications shown in FIG. 5 are stored in the installation site specification data 22 . Specifically, the floor "1FL" of the building where the elevator is installed has a reception desk and an entrance. Floor "2FL" is occupied by restaurant Ar, convenience store Ac, and shop As as tenants. Floor "3FL" has a shared conference room and is occupied by office G1 as a tenant. Floors "4FL" to "8FL" are occupied by offices G1 to G4. Floors "9FL" to "10FL" are occupied by office G5.

Next, the tenant data 23 will be explained. A tenant is a resident who resides in a building, and is divided into office tenants, commercial tenants, and the like. Office tenants are intended to be used as offices, and commercial tenants are intended to be used as shops in commercial facilities. Commercial tenants can be further categorized as appropriate, such as product sales, eating and drinking, and convenience stores.

When office tenants and commercial tenants reside in the same building, there are cases where users of office tenants become customers of commercial tenants. Therefore, for passengers who leave the office tenants and get on the elevator, advertisements of commercial tenants in the same building and commercial facilities located in the vicinity of the building can be provided as content. expected to be effective.

The tenant data 23 includes data for managing office tenants in the building where the elevator is installed, and data for managing commercial tenants located in and around the building.

FIG. 6 is an explanatory diagram of data for managing office tenants. In FIG. 6, the name of the office tenant, the type of store, and the person who works are associated. The name may be "office G1" or the like, and the store type may be "office" or the like. Targets include "female", "male", and "vulnerable to traffic" as attributes other than age. Subjects also include chronology as an attribute of age. It should be noted that vulnerable traffic users are users of wheelchairs, etc., and it is assumed that, for example, in the case of an up-and-down platform button, the lower button is operated.

In FIG. 6, a double circle symbol indicates that the number of workers is excessive, a single circle symbol indicates that the number of workers is large, a triangular symbol indicates that the number of workers is small, and "-" indicates no workers. For example, office G1 has many men in their thirties, and there are no teens employed. This data indicates that office G2 has a large number of female employees.

FIG. 7 is an explanatory diagram of data for managing commercial tenants. In FIG. 7, the names of commercial tenants, store types, and target customers are associated. The types of stores include product sales, convenience stores, restaurants, and the like. Targets include "female", "male", and "vulnerable to traffic" as attributes other than age. In addition, the target includes age as an attribute related to age.

In FIG. 7, a customer group that is particularly important is indicated by a single circle symbol as an important customer group, a tentative customer group is indicated by a triangular symbol as an assumed customer group, and a group that is not assumed as a customer is indicated by a "-". is shown. For example, Convenience Store Ac, Convenience Store Bc, Convenience Store Cc, and Convenience Store Dc treat all customers as important customer groups. Shop Bs targets men in their thirties and above as its important customer base, and does not target women. Shop Cs targets women in their thirties and above as its main customer base, and does not target men.

FIG. 8 is an explanatory diagram of locations of commercial tenants. As shown in FIG. 8, a building Ab of a client Ap houses a convenience store Ac, a shop As, and a restaurant Ar. Convenience store Bc, shop Bs, and shop Cs are located in building Bb of client Ap. Convenience store Cc and shop Ds are located in building Cb of client Bp. Restaurant Br and restaurant Cr reside in building Db of owner Bp. A convenience store Dc and a restaurant Dr are located in the building Eb of the client Cp. These destinations may be included in the tenant data 23, for example, and referred to when selecting content.

FIG. 9 is an explanatory diagram of the content data 24. As shown in FIG. The content data 24 associates the data of the content itself (not shown) with a number that uniquely identifies the content, the name of the content, and the display time. The display time includes whether the image is a still image or a moving image, and the required output time. When the content is a moving image, the required output time indicates the time required for one playback, that is, the length of the moving image. When the content is a still image, the required output time indicates the minimum display time, and the display can be finished at an arbitrary timing after the required output time has passed.

For example, No "1-1-1-1" is a video advertisement for Shop As, and the playback time is 20 seconds. No "1-3-2-1" is a still image advertisement of restaurant Br, and the playback time is 15 seconds. Nos "1-4-1-1" to "1-4-5-1" are cases used as posters or bulletin boards in offices, and the content is a still image with a required output time of 15 seconds. Nos "2-1-1-1" to "2-1-2-1" are cases in which information is transmitted from the client, and the content is a video with a required output time of 20 seconds. No "3-1-1-1" is sold as an advertising space, and the CM (commercial message) specified by the purchaser is used as the content. Nos "4-1-1-1" to "4-1-1-2" are contents published on the Internet.

FIG. 10 is a flow chart showing the procedure of content display control. This flowchart is executed from step S101 by the boarding point content selection system.
Step S101 (service request determination)
The car control requesting unit 11 receives the reception notification of the service request from the service requesting device 50, determines that the service request is generated, and proceeds to step S102.
S102 (estimated arrival time calculation)
Based on the status of each car (current location, destination floor, number of passengers, call allocation status, etc.), the car control request unit 11 calculates the predicted arrival time for each car when allocating the generated service request. Calculation is performed, and the process proceeds to step S103.
S103 (evaluation calculation)
The car control request unit 11 uses the estimated arrival time to calculate an evaluation value based on indicators such as time, congestion, and energy saving, and determines a car to be assigned to the service request according to the calculation result. Then, a lift request is transmitted to the lift control device 30, the operation of the car is controlled, and the process proceeds to step S104.
S104 (content selection)
The estimation unit 13 estimates the attribute and destination floor of passengers waiting for a car. The content selection unit 14 selects content corresponding to the attribute of the passenger and the destination floor estimated by the estimation unit 13 from the content data 24, and proceeds to step S105.
S105 (content display)
The content selection unit 14 transmits a display instruction for the selected content, displays the content on the hall display device 60, and ends the process.

FIG. 11 is a flowchart showing detailed procedures for content selection in S104.
S201 (service request floor determination)
The estimating unit 13 receives notification of the occurrence of the service request from the car control requesting unit 11, determines the floor of the landing for which the service request has been received, and proceeds to step S202.
S202 (attribute determination)
The estimating unit 13 refers to the installation location specification data 22 and identifies an office tenant occupying the floor for which the service request has been accepted. Then, by reading the personnel composition of the specified office tenant from the tenant data 23, the personnel composition of the users who use the floor for which the service request is received as an office is acquired. The estimation unit 13 estimates the attributes of the passengers based on the acquired personnel composition, and proceeds to step S203.
S203 (destination floor estimation)
The estimation unit 13 estimates the destination floor using the current time and the boarding/alighting record data 21, and proceeds to step S204.
S204 (content extraction)
The content selection unit 14 selects the content corresponding to the attribute of the passenger and the destination floor estimated by the estimation unit 13 from the content data 24 to determine the content, and returns to the original process.

When selecting contents, it is possible to select contents matching a specific policy from contents corresponding to the estimated attributes of passengers and destination floors. For example, if there is a difference in the usage status (e.g. sales) of commercial tenants in the same building, by preferentially selecting advertisements for commercial tenants with low usage status, the usage status of commercial tenants will increase. Smoothing can be achieved to make it uniform. Alternatively, commercial tenants with high performance may be selected by focusing on advertisements of commercial tenants with high utilization. As an index for judging the usage status, any index such as the degree of congestion of the store, the number of users, etc. can be used without being limited to the sales.

Also, when selecting content, it is also possible to select content according to time. For example, at the time of coming to work, information that can be used at lunchtime is provided, in the latter half of lunch time, effective information after leaving work is provided, and at the time of leaving work, effective information at the time of coming to work the next day may be provided.

It is also possible to select content based on the tenant's positional relationship, weather, and the like. For example, it is possible to give priority to advertisements of commercial tenants in the same building when it is raining, or to give priority to advertisements of commercial tenants providing special services on rainy days. .

Also, the content selection policy can be switched according to the time. For example, multiple modes are provided, such as a smoothing mode that smoothes the usage of commercial tenants, a focused mode that focuses on selecting advertisements from commercial tenants with high usage, and a content specification mode that directly specifies the content itself. By making it possible to set the mode for each time zone, it is possible to switch the content selection policy according to the time.

As described above, the boarding point content selection system and boarding point content selection method disclosed in the present embodiment estimate the attributes of passengers waiting for a car based on the floor of the boarding point that receives the service request. Select content corresponding to the attribute and output the selected content to passengers at the elevator hall.

Therefore, it is possible to effectively provide various contents to passengers. This is because it is possible to output content that matches the attributes of passengers during the waiting time at the boarding point, which is free time for the passengers.

Also, by outputting advertisements of commercial facilities located inside or around buildings where elevators are installed as contents, high advertising effects can be obtained. At this time, the content may be selected so that the usage conditions of multiple commercial facilities are even. For example, when there is a difference in the usage status of a plurality of commercial facilities, it is possible to equalize the usage status of the commercial facilities by preferentially selecting advertisements for commercial facilities with low usage status. Alternatively, content may be selected to improve usage of a particular commercial establishment. For example, when there is a difference in the usage status of a plurality of commercial facilities, commercial tenants with good performance can be selected by focusing on advertisements for commercial facilities with high usage status.

Further, in this embodiment, for each of a plurality of floors, the staff composition of users who use the floor as an office is acquired, and the passenger attributes are estimated based on the staff composition. can be easily estimated.

In addition, in this embodiment, by learning the boarding/alighting record for each floor, further estimating the destination of the passenger based on the boarding/alighting record, and selecting the contents further using the destination, the content more suited to the passenger is provided. be able to. In addition, by learning changes in boarding/alighting performance according to time and estimating the destination based on the learning performance corresponding to the time when the service request is accepted, the estimation accuracy can be improved.

In the above example, a building with commercial tenants on one floor and office tenants on multiple floors was explained as an example, but a building with commercial tenants on multiple floors can also be applied to In particular, in the case of a department store where store types are assigned to floors, store types are learned by associating them with boarding/alighting records, and contents are selected using the store types of floors that have received service requests. can be done.

In addition, in this embodiment, the age, gender, and whether or not the person is vulnerable to traffic were exemplified as the attributes of the passengers, but these examples do not limit the attributes of the passengers, and the attributes of the passengers and how to obtain them are arbitrary. can be used. As an example, various attributes can be estimated or acquired by imaging with a camera, communication with a passenger's mobile terminal, or the like. Furthermore, in a configuration that requires an ID card to be held over when making a service request, various attributes may be estimated or acquired from information linked to the ID card.

Similarly, the classification of tenants disclosed in this embodiment is merely an example, and any classification can be used to manage tenants, learn boarding/alighting records, estimate passenger attributes, and select content.

Thus, the present invention is not limited to the above-described embodiments, but includes various modifications. For example, the above-described embodiments have been described in detail in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the described configurations. Moreover, not only deletion of such a configuration but also replacement and addition of the configuration are possible.

11: car control request unit, 12: learning unit, 13: estimation unit, 14: content selection unit, 21: boarding/alighting performance data, 22: installation location specification data, 23: tenant data, 24: content data

Claims (9)

In an elevator hall content selection system that selects content to be output to passengers at an elevator hall,
an estimating unit for estimating the attributes of the passengers waiting for the car based on the floor of the boarding point that has received the service request;
a content selection unit that selects content corresponding to the attribute estimated by the estimation unit;
An output unit that outputs the content selected by the content selection unit,
If the floor that received the service request is a floor where one office tenant resides on one floor, the estimation unit reads the personnel composition of the office tenant, A content selection system for a boarding area, characterized by acquiring a personnel composition of users who use a floor for which a service request has been received as an office, and estimating attributes of the passengers based on the acquired personnel composition. 2. The platform according to claim 1, wherein the content selection unit selects the content from advertisements of commercial facilities located inside and/or around the building where the elevator is installed. Content selection system for. 3. The platform content selection system according to claim 2, wherein the content selection unit selects the content so that the plurality of commercial facilities are evenly used. 4. The platform content selection according to claim 3, wherein the content selection unit preferentially selects an advertisement for a commercial facility with a low usage status when there is a difference in the usage status of a plurality of the commercial facilities. system. 3. The platform content selection system according to claim 2, wherein the content selection unit selects the content so as to improve the utilization of a specific commercial facility. 6. The platform content selection according to claim 5, wherein when there is a difference in usage status of a plurality of commercial facilities, the content selection unit selectively selects an advertisement for a commercial facility with a high usage status. system. further comprising a learning unit that learns boarding/alighting performance for each floor;
The estimation unit further estimates the destination of the passenger based on the boarding/alighting record,
2. The platform content selection system according to claim 1, wherein the content selection unit further uses the destination to select the content. The learning unit learns changes in the boarding/alighting record according to time,
8. The boarding point content selection system according to claim 7, wherein the estimation unit estimates the destination based on a learning result corresponding to a point in time when the service request is accepted. In a platform content selection method for selecting content to be output to passengers at an elevator platform,
an estimating step of estimating the attributes of the passengers waiting for the car based on the floor of the boarding point that received the service request;
a content selection step of selecting content corresponding to the attribute estimated by the estimation step;
and an output step of outputting the content selected by the content selection step,
In the estimating step, if the floor that received the service request is a floor where one office tenant resides on one floor, the staff composition of the office tenant is read, A platform content selection method comprising the steps of acquiring a personnel composition of users who use a floor for which a service request has been received as an office, and estimating attributes of the passengers based on the acquired personnel composition.

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