Advertisement delivery system, selection device, and generation device

Abstract

We provide an advertising system that can deliver advertisements tailored to the overall usage of elevators. [Solution] The advertising provision system 1 comprises an advertising data storage unit 30, a data acquisition unit 41, a selection unit 42, and a notification control unit 43. The selection unit 42 uses a trained model to determine which advertisement to notify from the notification device from the selection data, and selects one of several advertising data from the selection data acquired by the data acquisition unit 41. The selection data includes information on the number of people getting on and off at each landing 14 on each floor where the elevator car 10 can stop, attribute information on the attributes of the people getting on and off, and current time information.

Description

Technical Field

[0001] The present disclosure relates to an advertisement providing system, a selection device, and a generation device.

Background Art

[0002] Patent Document 1 describes a system that outputs content to an output device such as a liquid crystal indicator. In the system described in Patent Document 1, a user registers content setting information in advance. When multiple users are in an elevator car, the order of the content output to the output device is determined based on the content setting information registered by each user.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the system described in Patent Document 1, content is provided according to the users in the car at that time. In this system, it was not possible to provide advertisements according to the usage status of the entire elevator.

[0005] The present disclosure has been made to solve the above problems. An object of the present disclosure is to provide an advertisement providing system capable of providing advertisements according to the usage status of the entire elevator. Another object of the present disclosure is to provide a selection device and a generation device that can be used in such a system.

Means for Solving the Problems

[0006] The advertising delivery system relating to this disclosure comprises: an advertising data storage unit storing multiple advertising data for broadcasting advertisements from an alarm; a first data acquisition unit for acquiring selection data; a selection unit that uses a trained model for determining which advertisement to broadcast from the alarm from the selection data to select one of the multiple advertising data from the selection data acquired by the first data acquisition unit; and an alarm control unit that broadcasts an advertisement from the alarm based on the advertising data selected by the selection unit. The alarm is installed in the elevator car or in a landing where the car can stop. The selection data includes information on the number of people getting on and off at each landing on each floor where the car can stop, attribute information on the attributes of the people getting on and off, and current time information.

[0007] The selection device relating to this disclosure comprises a data acquisition unit that acquires selection data, and a selection unit that uses a trained model for determining which advertisement to announce from the selection data to select one of a plurality of advertisement data pre-stored in an advertisement data storage unit from the selection data acquired by the data acquisition unit. The announcement unit is installed in the elevator car or a landing where the car can stop. The selection data includes information on the number of people getting on and off at each landing on each floor where the car can stop, attribute information on the attributes of the people getting on and off, and current time information.

[0008] The generation device relating to this disclosure comprises a data acquisition unit that acquires generation data, and a control unit that generates advertising data for announcing advertisements from an alarm by inputting the generation data acquired by the data acquisition unit into artificial intelligence. The alarm is installed in the elevator car or a landing where the car can stop. The generation data includes information about the goods or services offered by the advertiser and concept information about the advertiser's views on advertising. [Effects of the Invention]

[0009] According to this disclosure, advertisements can be delivered in accordance with the overall usage of the elevator. [Brief explanation of the drawing]

[0010] [Figure 1] This figure shows an example of an advertising provision system in Embodiment 1. [Figure 2] This flowchart shows an example of how an advertising delivery device works. [Figure 3] This figure shows an example of a learning device. [Figure 4] This flowchart shows an example of how the learning device works. [Figure 5] This figure shows an example of a generation device for generating advertising data. [Figure 6] This flowchart shows an example of the operation of the generating device. [Figure 7] This figure shows an example of hardware resources for an advertising delivery device. [Figure 8] This figure shows another example of hardware resources for an advertising delivery device. [Modes for carrying out the invention]

[0011] A detailed explanation follows, with reference to the drawings. Repetitive explanations will be simplified or omitted as appropriate. In each drawing, the same reference numerals indicate the same or corresponding parts.

[0012] Embodiment 1. Figure 1 shows an example of the advertising provision system 1 in Embodiment 1. The advertising provision system 1 comprises an elevator device 2, a data management device 3, and an advertising provision device 4.

[0013] The elevator system 2 comprises a car 10 and a control device 11. The car 10 moves up and down in the hoistway 12. The hoistway 12 is a vertically extending space formed in the building 13. The movement of the car 10 is controlled by the control device 11. By being controlled by the control device 11, the car 10 can stop at landings 14 on multiple floors within the building 13. Hereinafter, the floors on which the car 10 can stop at a landing 14 will also be referred to as stopping floors.

[0014] When a call is generated, the control device 11 registers the call in accordance with the moving direction of the car 10 and makes the car 10 respond to the registered call. Calls include landing calls and destination calls.

[0015] In the example shown in FIG. 1, the elevator device 2 includes a portable terminal 15 held by a user as a device for generating a call. As an example, the terminal 15 is a smartphone. When the terminal 15 is a smartphone, an application for using the car 10 is pre-installed in the terminal 15. The user starts the application and inputs the boarding floor. The user can generate a landing call by transmitting information indicating the input boarding floor from the terminal 15 to the control device 11.

[0016] The user may input both the boarding floor and the destination floor from the application. Thereby, the user can generate both a landing call and a destination call before boarding the car 10. The transmission of information from the terminal 15 to the control device 11 may be performed directly or via a server device connected to a network such as the Internet.

[0017] The elevator device 2 may include a device permanently installed at each stop as a device for generating a call. The elevator device 2 may include a device permanently installed at each stop as a device for generating a landing call and a device permanently installed in the car 10 as a device for generating a destination call. These permanently installed devices may include buttons or touch panels. The elevator device 2 may include a device adopting another input method as a device for generating a call.

[0018] In the preferred example shown in FIG. 1, a display 16 such as a digital signage is provided at the landing 14 of each stop. The display 16 is an example of a notification device that notifies information to the user at the landing 14. As the notification device, a projector capable of projecting an image on the floor, wall, or door of the landing 14 may be provided at the landing 14. As the notification device, a plurality of devices may be provided at the landing 14 of each stop.

[0019] In the preferred example shown in FIG. 1, a display 17 such as a digital signage is provided in the cage 10. The display 17 is an example of an informer that notifies information to the users in the cage 10. As the informer, a projector capable of projecting an image on the floor, wall, or door of the cage 10 may be provided in the cage 10. As the informer, a plurality of devices may be provided in the cage 10.

[0020] Note that the elevator device 2 may include only the informer provided at the landing 14 and not include the informer provided in the cage 10. When the elevator device 2 includes the informer provided at the landing 14, the informer may be provided only at some landings 14. As another example, the elevator device 2 may include only the informer provided in the cage 10 and not include the informer provided at the landing 14.

[0021] Also, in the preferred example shown in FIG. 1, a camera 18 is provided at each landing 14 of each stop floor. If there is a user at the landing 14, the user is photographed by the camera 18 provided at the landing 14.

[0022] In the preferred example shown in FIG. 1, a camera 19 is provided in the cage 10. If there is a user in the cage 10, the user is photographed by the camera 19.

[0023] The data management device 3 includes an advertisement data storage unit 30. The advertisement providing device 4 includes a learned model storage unit 40, a data acquisition unit 41, a selection unit 42, and a notification control unit 43.

[0024] A plurality of advertisement data for causing the informer provided in the elevator device 2 to notify an advertisement are stored in the advertisement data storage unit 30. In the preferred example shown in FIG. 1, the advertisement data is data for causing the displays 16 and 17 to display an advertisement. When the building 13 exists in a commercial facility, the advertiser is a company or the like that has a store in the building 13. As an example, a large number of advertisement data of the stores included in the building 13 are stored in the advertisement data storage unit 30 in advance.

[0025] The data acquisition unit 41 and the selection unit 42 constitute a selection device for selecting one advertising data from among a large number of advertising data stored in the advertising data storage unit 30. The selection data is input to the advertising provision device 4. The data acquisition unit 41 acquires the selection data input to the advertising provision device 4.

[0026] The selection data includes the number of passengers getting on and off at each landing 14 on each stopping floor, that is, the number of passengers who boarded the elevator car 10 and the number of passengers who got off the elevator car 10 for each landing 14. The passenger count information may be information that shows the number of passengers getting on and off at each landing 14, or it may be information that can be derived from the number of passengers getting on and off. The passenger count information may also be time-based information. For example, information that shows the landing 14 with a large number of passengers boarding the elevator car 10 and the landing 14 with a large number of passengers getting off the elevator car 10 may be included in the selection data as passenger count information. There may be one or more of these "landing 14 with a large number of passengers".

[0027] Any method may be used to detect the number of passengers who boarded the elevator car 10 from the landing 14 and the number of passengers who disembarked from the elevator car 10 to the landing 14. For example, the detection is performed based on images captured by cameras 18 and 19. For instance, regarding the number of passengers who boarded the elevator car 10, the number of faces that moved from the landing 14 is detected based on images captured by camera 18. Regarding the number of passengers who disembarked from the elevator car 10, the number of backs of heads that moved from the elevator car 10 is detected based on images captured by camera 19. For this detection, a weighing device (not shown) on the elevator car 10 or the number of registered passenger calls may be used.

[0028] The selection data further includes attribute information relating to the attributes of the passengers and current time information indicating the current time. Preferably, at least one of gender or age is used as an attribute. The user's attributes may also be identified from images captured by cameras 18 and 19. When a user makes a call using terminal 15, the user's attributes may be identified based on information from terminal 15. When a user makes a call using terminal 15, other information registered in terminal 15 may also be included in the selection data.

[0029] The selection data may also include utilization rate information regarding the utilization rate of the cage 10. The utilization rate information may be broken down by time of day. Any method may be used to detect the utilization rate of the cage 10. For example, the utilization rate of the cage 10 may be detected based on the operating status of the drive mechanism controlled by the control device 11. The utilization rate of the cage 10 may be detected based on the time the call is registered. A weighing device for the cage 10 may be used to detect the utilization rate of the cage 10.

[0030] The selection data may also include event information regarding events currently taking place on any of the stopping floors. This event information may include details such as the event's content, duration, and target age group.

[0031] The selection data may also include current climate information. This climate information may include details such as weather, temperature, humidity, sunshine duration, precipitation, and wind speed.

[0032] The selection data is data in which these multiple pieces of information are linked to each other. The selection data is input to the advertising device 4 from the elevator device 2, the data management device 3, and other devices. For example, regarding the number of people information, the necessary calculations and information management may be performed in the data management device 3 or other devices based on the information acquired by the elevator device 2. Regarding event information, the information may be input and managed at a terminal owned by the building management company of building 13.

[0033] A trained model is stored in the trained model storage unit 40. Preferably, the trained model is a model for determining which advertisement to announce from the alarm provided in the elevator device 2, based on selection data. In this example, the selection unit 42 uses the trained model stored in the trained model storage unit 40 to select one advertisement from among a large number of advertisement data stored in the advertisement data storage unit 30, based on the selection data acquired by the data acquisition unit 41.

[0034] Specifically, the selection unit 42 inputs the selection data acquired by the data acquisition unit 41 into the trained model. As a result, the trained model outputs information to identify one of the many advertising data stored in the advertising data storage unit 30. Based on the information output from the trained model, the selection unit 42 selects one advertising data from the many advertising data stored in the advertising data storage unit 30.

[0035] The notification control unit 43 notifies advertisements from the alarm based on the advertisement data selected by the selection unit 42. In the preferred example shown in Figure 1, the notification control unit 43 displays advertisements based on the advertisement data selected by the selection unit 42 on the display units 16 provided at the landings 14 of each stopping floor. The notification control unit 43 also displays advertisements based on the advertisement data selected by the selection unit 42 on the display unit 17 provided in the elevator car 10.

[0036] As an example, the trained model is generated by the training device 50 described later. The trained model may also be a trained model generated by a device other than the training device 50. This device may include server devices, etc., managed by the management company of the advertising provision system 1.

[0037] Figure 2 is a flowchart illustrating an example of the operation of the advertising distribution device 4. In the advertising distribution device 4, first, the data acquisition unit 41 acquires selection data (S101). Next, the selection unit 42 inputs the selection data acquired by the data acquisition unit 41 in S101 into the trained model stored in the trained model storage unit 40 (S102). Next, the selection unit 42 selects advertising data based on the result obtained by inputting the selection data into the trained model in S102 (S103). Next, the notification control unit 43 notifies the advertisement based on the advertising data selected by the selection unit 42 from the notification unit (S104). Specifically, the notification control unit 43 displays the advertisement on the display unit 16 and the display unit 17.

[0038] The learning device 50 described above will be explained below. Figure 3 shows an example of the learning device 50. The learning device 50 may be provided in the advertising device 4, or it may be provided in another device that can communicate with the advertising device 4.

[0039] The learning device 50 generates a trained model for determining which advertisements to announce from the alarm installed in the elevator device 2. The learning device 50 includes a data acquisition unit 51 and a model generation unit 52.

[0040] Training data is input to the learning device 50. The data acquisition unit 51 acquires the training data input to the learning device 50. The model generation unit 52 generates the trained model described above using the training data acquired by the data acquisition unit 51. The trained model generated by the model generation unit 52 is stored in the trained model storage unit 40.

[0041] As an example, unsupervised learning may be used as the learning algorithm by the model generation unit 52. Other known algorithms, such as supervised learning or semi-supervised learning, may also be used as the learning algorithm. Deep learning, which learns to extract features themselves, may also be used as the learning algorithm. Other known methods, such as genetic programming, inductive logic programming, or support vector machines, may also be used as the learning algorithm.

[0042] The following describes an example in which unsupervised learning is used as the learning algorithm by the model generation unit 52. Unsupervised learning is a method in which the learning device 50 learns features from training data that does not contain results (labels).

[0043] In this example, the training data includes information on the number of passengers getting on and off at each stop's platform 14, attribute information on the attributes of those passengers, and current time information. The training data may also include utilization rate information on the utilization rate of the elevator car 10. The training data may also include event information on events currently taking place at any of the stop's platforms. The training data may also include current weather information. The training data is data in which multiple pieces of information are interconnected.

[0044] The model generation unit 52 generates a trained model for determining which advertisements to announce from the alarm installed in the elevator device 2, based on training data created, for example, on the number of people, attribute information, and current time information.

[0045] As an example, we will describe an example in which the model generation unit 52 performs learning using unsupervised learning according to the K-means method of grouping. The K-means method is a non-hierarchical clustering algorithm that classifies a given number of clusters into k groups using the mean of the clusters.

[0046] Specifically, the K-means algorithm processes data in the following manner: First, each data point xi is randomly assigned to a cluster. Next, the center Vj of each cluster is calculated based on the assigned data. Then, the distance between each xi and each Vj is calculated, and each xi is reassigned to the cluster with the closest center. Finally, if there is no change in the cluster assignment of all xi in the above process, or if the amount of change is below a pre-set threshold, the process is considered to have converged and terminated.

[0047] Figure 4 is a flowchart illustrating an example of the operation of the learning device 50. In the learning device 50, first, the data acquisition unit 51 acquires training data (S201). Next, the model generation unit 52 uses the training data acquired by the data acquisition unit 51 in S201 to perform unsupervised learning and generate a trained model (S202). Then, the trained model generated by the model generation unit 52 is stored in the trained model storage unit 40 (S203).

[0048] Thus, in the advertising provision system 1, the selection unit 42 selects one advertising data from among the many advertising data stored in the advertising data storage unit 30 by inputting the selection data acquired by the data acquisition unit 41 into a trained model. The selection data includes information on the number of people getting on and off at each stopping floor landing 14, attribute information on the attributes of those people, and current time information. Therefore, the advertising provision system 1 can provide advertisements according to the overall usage status of the elevator.

[0049] In this embodiment, a preferred example has been described in which the advertising provision system 1 comprises an elevator device 2, a data management device 3, and an advertising provision device 4. In other examples, the data management device 3 and the advertising provision device 4 may be provided as a single device. The data management device 3 may be provided in the elevator device 2, or some or all of the functions of the advertising provision device 4 may be provided in the elevator device 2. Some of the functions of the advertising provision device 4 may be provided as other devices.

[0050] The following describes other functions that advertising delivery system 1 can employ. If possible, advertising delivery system 1 may employ a combination of the following functions.

[0051] The notification control unit 43 may notify the advertisement from the alarm based on the advertisement data selected by the selection unit 42 and the identification code for identifying the advertisement data. In the preferred example shown in Figure 1, the notification control unit 43 causes the display unit 16 and the display unit 17 to display the advertisement containing the identification code. It is preferable that the identification code is a code that can be read by the user's terminal 15. As an example, the identification code is a two-dimensional code.

[0052] For example, when a user riding in the cart 10 reads the identification code displayed on the display unit 17 with the terminal 15, the details of the advertisement displayed on the display unit 17 are displayed on the terminal 15.

[0053] Furthermore, information indicating that an identification code has been read by terminal 15 may be transmitted to the advertising provision system 1. In such a case, the data management device 3 may further include a data aggregation unit 31. The data aggregation unit 31 aggregates code information related to the identification code read by terminal 15. The code information may be information indicating which advertisements were read and how many times by terminal 15, or information indicating the percentage of advertisements that were read. The code information may also be information indicating other content. The code information may include information indicating the attributes of the user who read the identification code. The code information may also be time-based information.

[0054] Preferably, the code information aggregated by the data aggregation unit 31 is included in the selection data. In this case, the selection unit 42 inputs the selection data containing the code information into the trained model. This allows the selection unit 42 to reflect information about advertisements that the user has shown interest in when selecting advertisements.

[0055] Furthermore, in the advertising provision system 1, the elevator device 2 or the advertising provision device 4 may be equipped with functions similar to those of the data aggregation unit 31.

[0056] In this embodiment, an example was described in which advertising data prepared by advertisers, etc., is pre-stored in the advertising data storage unit 30. As another example, the advertising provision system 1 may also be equipped with a function to generate advertising data.

[0057] Figure 5 shows an example of a generation device for generating advertising data. Figure 5 shows an example in which the generation device is implemented by some functions of the advertising provision device 4 and artificial intelligence 60. Some or all of the functions of the generation device may be provided in the elevator device 2 or in the data management device 3. Some or all of the functions of the generation device may be provided in other devices that can communicate with the advertising provision device 4.

[0058] In the preferred examples shown in Figures 1 and 5, the advertising device 4 comprises a data acquisition unit 44 and a control unit 45. The data acquisition unit 44 acquires generation data for generating advertising data. As an example, the generation data may include store information regarding the goods or services offered at the advertiser's store. The store information may also include a detailed description of the goods or services offered. The store information may also include the name and image of the goods offered. The store information may also include information such as the location and time when the goods or services are offered.

[0059] Furthermore, the generated data includes conceptual information regarding the advertiser's perspective on advertising. This conceptual information may include information indicating the target audience of the advertisement, the atmosphere and quality of the advertisement, etc.

[0060] The control unit 45 inputs the generation data acquired by the data acquisition unit 44 to the artificial intelligence 60 to generate advertising data for displaying advertisements from the alarms provided in the elevator device 2. In the preferred example shown in Figure 1, the advertising data is data for displaying advertisements on the display units 16 and 17. The advertising data generated by the control unit 45 is stored in the advertising data storage unit 30.

[0061] The artificial intelligence 60 comprises an inference unit 61 and a trained model 62. The trained model 62 is pre-stored. The inference unit 61 outputs advertising data for the notification device to display the advertisement based on the trained model 62 and the generation data input from the control unit 45. The artificial intelligence 60 uses one or more algorithms from among Transformer, BERT (Bidirectional Encoder Representations from Transformers), or GPT (Generative Pre-Training).

[0062] Figure 6 is a flowchart illustrating an example of the operation of the generation device. In the generation device, first, the data acquisition unit 44 acquires the data to be generated (S301). Next, the control unit 45 inputs the data to be generated acquired by the data acquisition unit 44 in S301 to the artificial intelligence 60 (S302). As a result, the control unit 45 obtains the advertising data output from the artificial intelligence 60. Next, the control unit 45 outputs the advertising data obtained from the artificial intelligence 60 in S302 (S303). The advertising data output from the control unit 45 is stored in the advertising data storage unit 30.

[0063] Furthermore, if the alarm is a display device such as a digital signage, as shown in the example in Figure 1, the generation data may include essential image information. Essential image information is information about images that are always used in advertisements. In such cases, the control unit 45 inputs the generation data acquired by the data acquisition unit 44 to the artificial intelligence 60 to generate advertising data that partially uses the essential image information. Advertising data that partially uses the essential image information also includes advertising data generated by adding only text information such as slogans to the essential image information.

[0064] In the examples shown in Figures 5 and 6, advertisers do not need to create their own advertising data. Therefore, the system can be used by a wider range of stores and businesses.

[0065] Figure 7 shows an example of the hardware resources of the advertising distribution device 4. The advertising distribution device 4 includes a processing circuit 70 as a hardware resource, which includes a processor 71 and memory 72. The processing circuit 70 may include multiple processors 71. The processing circuit 70 may also include multiple memory 72.

[0066] In this embodiment, the parts indicated by reference numerals 40 to 45 represent functions of the advertising device 4. The function of the learned model storage unit 40 is realized by the memory 72. The functions of the parts indicated by reference numerals 41 to 45 can be realized by software, firmware, or a combination of software and firmware written as a program. The program is stored in the memory 72. The advertising device 4 realizes the functions of the parts indicated by reference numerals 41 to 45 by executing the program stored in the memory 72 using the processor 71 (computer).

[0067] The processor 71 is also called a CPU (Central Processing Unit), etc. For memory 72, semiconductor memory or the like may be used.

[0068] Figure 8 shows another example of the hardware resources of the advertising distribution device 4. In the example shown in Figure 8, the advertising distribution device 4 includes a processor 71, memory 72, and a processing circuit 70 including dedicated hardware 73. Figure 8 shows an example in which some of the functions of the advertising distribution device 4 are realized by the dedicated hardware 73. All of the functions of the advertising distribution device 4 may also be realized by the dedicated hardware 73.

[0069] The hardware resources of each device, such as the data management device 3, the selection device, and the generation device, are the same as those shown in the example in Figure 7 or Figure 8. Each device includes a processing circuit containing a processor and memory as hardware resources. The processing circuit may contain multiple processors. The processing circuit may contain multiple memories. Each device realizes the functions of each part indicated by reference numeral 31, etc., by executing a program stored in memory using the processor (computer). Each device may include a processing circuit containing a processor, memory, and dedicated hardware as hardware resources. Some or all of the functions of each device may be realized by dedicated hardware.

[0070] Examples of aspects that may be included in this disclosure are listed below as an addendum.

[0071] [Note 1] An advertising data storage unit that stores multiple advertising data for broadcasting advertisements from the alarm, A first data acquisition unit that acquires data for selection, A selection unit selects one of the multiple advertisement data from the selection data acquired by the first data acquisition unit, using a trained model for determining which advertisement to announce from the aforementioned notification device based on the selection data. A notification control unit that notifies the advertisement from the notification device based on the advertisement data selected by the selection unit, Equipped with, The aforementioned alarm is installed in the elevator car or in a landing where the car can stop. An advertising provision system in which the selection data includes information on the number of passengers getting on and off at each floor landing where the elevator car can stop, attribute information on the attributes of the passengers, and current time information. [Note 2] The advertising provision system described in Appendix 1, wherein the selection data further includes usage rate information regarding the usage rate of the shopping cart. [Note 3] The advertising provision system described in Appendix 1 or Appendix 2, wherein the selection data further includes event information relating to events taking place on floors where the elevator car can stop. [Note 4] An advertising provision system described in any one of the appendices 1 to 3, which further includes current climate information in the aforementioned selection data. [Note 5] The notification control unit notifies the advertisement from the notification device based on the advertisement data selected by the selection unit and an identification code readable by the user terminal for identifying the advertisement data. An advertising provision system described in any one of the appendices 1 to 4, wherein the aforementioned selection data further includes code information relating to an identification code read by the user's terminal. [Note 6] A second data acquisition unit acquires data for generation, The control unit generates advertising data for notifying the advertisement from the alarm by inputting the generation data acquired by the second data acquisition unit into artificial intelligence, Furthermore, The aforementioned data for generation includes store information regarding products or services offered at the advertiser's store, and concept information regarding the advertiser's views on advertising. The advertising data generated by the control unit is stored in the advertising data storage unit in the advertising provision system described in any one of the appendices 1 to 5. [Note 7] The aforementioned alarm is a display device, The aforementioned generation data includes essential image information, The advertising provision system according to Appendix 6, wherein the control unit inputs the generation data acquired by the second data acquisition unit into artificial intelligence to generate advertising data that partially uses the essential image information. [Note 8] A data acquisition unit that acquires data for selection, A selection unit selects one of a plurality of advertisement data pre-stored in the advertisement data storage unit from the selection data acquired by the data acquisition unit, using a trained model for determining the advertisement to be announced from the selection data acquired by the alarm unit. Equipped with, The aforementioned alarm is installed in the elevator car or in a landing where the car can stop. A selection device whose selection data includes information on the number of passengers getting on and off at each landing on each floor where the elevator car can stop, attribute information on the attributes of the passengers, and current time information. [Note 9] A data acquisition unit that acquires data for generation, The control unit generates advertising data for notifying an advertisement from a notification device by inputting the generation data acquired by the data acquisition unit into artificial intelligence, Equipped with, The aforementioned alarm is installed in the elevator car or in a landing where the car can stop. A generation device that includes, in the data for generation, information about the products or services offered by the advertiser and conceptual information about the advertiser's views on advertising.

[0072] The matters described in Appendix 2-5 may be added to Appendix 8 in the same way that they are added to Appendix 1. The matters described in Appendix 7 may be added to Appendix 9 in the same way that they are added to Appendix 6. [Explanation of symbols]

[0073] 1. Advertising provision system, 2. Elevator equipment, 3. Data management device, 4. Advertising provision device, 10. Car, 11. Control device, 12. Hoistway, 13. Building, 14. Landing, 15. Terminal, 16-17. Display unit, 18-19. Camera, 30. Advertising data storage unit, 31. Data aggregation unit, 40. Trained model storage unit, 41. Data acquisition unit (first data acquisition unit), 42. Selection unit, 43. Notification control unit, 44. Data acquisition unit (second data acquisition unit), 45. Control unit, 50. Learning device, 51. Data acquisition unit, 52. Model generation unit, 60. Artificial intelligence, 61. Inference unit, 62. Trained model, 70. Processing circuit, 71. Processor, 72. Memory, 73. Dedicated hardware

Claims

1. An advertising data storage unit that stores multiple advertising data for broadcasting advertisements from the alarm, A first data acquisition unit that acquires data for selection, A selection unit selects one of the multiple advertisement data from the selection data acquired by the first data acquisition unit, using a trained model for determining which advertisement to announce from the aforementioned notification device based on the selection data. A notification control unit that notifies the advertisement from the notification device based on the advertisement data selected by the selection unit, Equipped with, The aforementioned alarm is installed in the elevator car or in a landing where the car can stop. An advertising provision system in which the selection data includes information on the number of passengers getting on and off at each floor landing where the elevator car can stop, attribute information on the attributes of the passengers, and current time information.

2. The advertising provision system according to claim 1, wherein the selection data further includes usage rate information relating to the usage rate of the shopping cart.

3. The advertising provision system according to claim 1 or claim 2, wherein the selection data further includes event information relating to an event being held on a floor where a landing where the elevator car can stop exists.

4. The advertising provision system according to claim 1 or claim 2, wherein the selection data further includes current climate information.

5. The notification control unit notifies the advertisement from the notification device based on the advertisement data selected by the selection unit and an identification code readable by the user terminal for identifying the advertisement data. The advertising provision system according to claim 1 or claim 2, wherein the selection data further includes code information relating to an identification code read by the user terminal.

6. A second data acquisition unit acquires data for generation, The control unit generates advertising data for notifying the advertisement from the alarm by inputting the generation data acquired by the second data acquisition unit into artificial intelligence, Furthermore, The aforementioned data for generation includes store information regarding products or services offered at the advertiser's store, and concept information regarding the advertiser's views on advertising. The advertising provision system according to claim 1 or 2, wherein the advertising data generated by the control unit is stored in the advertising data storage unit.

7. The aforementioned alarm is a display device, The aforementioned generation data includes essential image information, The advertising provision system according to claim 6, wherein the control unit inputs the generation data acquired by the second data acquisition unit into artificial intelligence to generate advertising data that partially uses the essential image information.

8. A data acquisition unit that acquires data for selection, A selection unit selects one of a plurality of advertisement data pre-stored in the advertisement data storage unit from the selection data acquired by the data acquisition unit, using a trained model for determining the advertisement to be announced from the selection data acquired by the alarm unit. Equipped with, The aforementioned alarm is installed in the elevator car or in a landing where the car can stop. A selection device whose selection data includes information on the number of passengers getting on and off at each landing on each floor where the elevator car can stop, attribute information on the attributes of the passengers, and current time information.

9. A data acquisition unit that acquires data for generation, The control unit generates advertising data for notifying an advertisement from a notification device by inputting the generation data acquired by the data acquisition unit into artificial intelligence, Equipped with, The aforementioned alarm is installed in the elevator car or in a landing where the car can stop. A generation device that includes, in the data for generation, information about the products or services offered by the advertiser and conceptual information about the advertiser's views on advertising.

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