Proposed system, learning device, and inference device

Abstract

To provide objective and easy-to-understand suggestions that are useful for supporting users in managing their buildings. [Solution] The proposed system comprises: an access means for acquiring access history information of elevator users in a building; an access history storage means for storing the access history information acquired by the access history acquisition means; and a proposal means for making proposals regarding the installation of facilities within the building or the services of facilities within the building, based on the access history information stored in the access history storage means.

Description

Technical Field

[0001] The present disclosure relates to a proposal system, a learning device, and an inference device.

Background Art

[0002] As a conventional technique, Patent Document 1 describes an elevator operation diagnosis device. The conventional technique described in Patent Document 1 provides improvement measures based on the operation data of an elevator.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional technique as described in Patent Document 1, there is a problem that it is difficult to objectively and easily make proposals useful for building operation to users such as owners or administrators.

[0005] The present disclosure is for solving the above problems. The object of the present disclosure is to objectively and easily make proposals useful for supporting building operation by users.

Means for Solving the Problems

[0006] The proposal system according to the present disclosure includes boarding / alighting history information acquisition means for acquiring boarding / alighting history information of users of an elevator provided in a building, boarding / alighting history storage means for storing the boarding / alighting history information acquired by the boarding / alighting history information acquisition means, and proposal means for making proposals regarding installation of facilities in the building or proposals regarding services of facilities in the building based on the boarding / alighting history information stored in the boarding / alighting history storage means. The learning device relating to this disclosure is a learning device relating to a proposal system that makes suggestions regarding the installation of facilities within a building or suggestions regarding the services of facilities within a building by utilizing the boarding and alighting history information of users of elevators installed in the building, and comprises a data acquisition unit that acquires learning data including the attributes of the building's users and suggestions to improve user satisfaction that match those attributes, and a model generation unit that uses the learning data to generate a trained model for inferring suggestions from the boarding and alighting history information, which includes attribute information that is information about the user's attributes. The inference device relating to this disclosure is an inference device relating to a proposal system that makes suggestions regarding the installation of facilities within a building or suggestions regarding services for facilities within a building by utilizing the boarding and alighting history information of users of elevators installed in the building, and comprises a data acquisition unit that acquires the boarding and alighting history information including attribute information which is information about the attributes of the user, and an inference unit that outputs suggestions from the boarding and alighting history information including the attribute information. [Effects of the Invention]

[0007] According to this disclosure, it is possible to objectively and easily make useful suggestions to support the operation of buildings by users. [Brief explanation of the drawing]

[0008] [Figure 1] This diagram shows the overall configuration of the proposed system according to Embodiment 1. [Figure 2] This is a table showing an example of boarding and alighting history information stored in the information recording unit of Embodiment 1. [Figure 3] This is a table showing an example of density information in Embodiment 1. [Figure 4] This figure shows an example of the hardware configuration of the main part of the proposed system according to Embodiment 1. [Figure 5] This figure shows an example configuration that realizes the functions of the proposed device in Embodiment 1. [Figure 6] This figure shows another example of a learning device that realizes the functions of the proposed device in Embodiment 1. [Figure 7] This figure shows another example of an inference device that realizes the functions of the proposed device in Embodiment 1. [Modes for carrying out the invention]

[0009] The embodiments will be described below with reference to the attached drawings. In each drawing, the same or corresponding parts are denoted by the same reference numerals. In this disclosure, redundant explanations will be simplified or omitted as appropriate. This disclosure is not limited to the embodiments and their modifications shown below. Any components described in the embodiments and their modifications below can be freely combined, modified, or omitted without departing from the spirit of this disclosure.

[0010] Embodiment 1. Figure 1 is a diagram showing the overall configuration of the proposed system according to Embodiment 1. The proposed system according to this embodiment is applied to a building equipped with an elevator 100. The proposed system according to this embodiment includes a means for acquiring boarding and alighting history information of the elevator 100 by users 101 of the elevator 100 installed in the building. In this disclosure, boarding and alighting history information means, for example, the boarding time, boarding floor and alighting floor information of the elevator 100 for each user 101. The boarding and alighting history information acquisition means is composed of, for example, an elevator control panel 102 that manages the operation of the elevator 100.

[0011] Furthermore, the proposed system according to this embodiment may also include an authentication unit 103, as shown in Figure 1. The authentication unit 103 acquires attribute information, which is information about the attributes of the elevator user 101. The attributes of the user 101 include, for example, gender and age. As an example, the authentication unit 103, together with the elevator control panel 102, constitutes a means for acquiring boarding and alighting history information. That is, the boarding and alighting history information acquired by the boarding and alighting history information acquisition means may include attribute information in addition to the floor travel information.

[0012] The proposed system according to this embodiment includes an information recording unit 104 as an example of a boarding / alighting history storage means that stores boarding / alighting history information acquired by the boarding / alighting history information acquisition means. The information recording unit 104 may be an element that constitutes the elevator 100, as shown in Figure 1, or it may be provided outside the elevator 100.

[0013] The proposed system according to this embodiment includes a proposal device 105 as an example of a boarding / alighting history storage means that stores boarding / alighting history information acquired by a boarding / alighting history information acquisition means, and makes proposals based on the boarding / alighting history storage means stored in the boarding / alighting history storage means. The proposal device 105 is installed, for example, in a monitoring room 106 of a building where an elevator 100 is installed, and makes proposals to users such as the building owner or manager to improve the satisfaction of users 101. The proposal device 105, which is an example of a proposal means according to this disclosure, makes proposals regarding the installation of facilities within the building or proposals regarding services for facilities within the building.

[0014] The proposed system according to this embodiment uses elevators 100 that constitute the movement routes of users 101 within a building to acquire boarding and alighting history information, which constitutes passenger flow information for users 101. The proposed system according to this embodiment utilizes this boarding and alighting history information to make suggestions regarding the installation of facilities within the building or suggestions regarding the services of facilities within the building. With a proposal system configured in this way, useful suggestions can be made objectively and easily to support the operation of the building by users such as owners or managers. According to this embodiment, for example, it is possible to create suggestions for improving the value of a building and support the acceleration of smart buildings and smart cities.

[0015] Furthermore, as mentioned above, the boarding and alighting history information may include attribute information of user 101. By utilizing boarding and alighting history information that includes attribute information to make suggestions, it becomes possible to make more objective and effective suggestions.

[0016] FIG. 2 is a table showing an example of the boarding and alighting history information stored in the information recording unit 104 of Embodiment 1. As shown in FIG. 2, as an example, the information recording unit 104 stores boarding and alighting history information as information in which the movement floor information acquired by the elevator management panel 102 is linked to the attribute information acquired by the authentication unit 103.

[0017] The authentication unit 103 can acquire attribute information by analyzing, for example, image data captured by a camera capable of capturing images inside the car and in the landing area of the elevator 100. In the case of this example, attribute information can be acquired without previously registering the personal information of the user 101. In public facilities such as shopping malls or hospitals visited by an unspecified number of users 101, it is preferable to acquire attribute information by analyzing the image data captured by a camera as in this example.

[0018] Also, the authentication unit 103 may acquire attribute information as information associated with a personal ID that can be acquired, for example, by reading a device such as a mobile terminal possessed by the user 101 inside the car and in the landing area. In the case of this example, attribute information can be acquired with a high degree of reliability. However, it is necessary to previously register personal information. Therefore, this example is preferably used in office buildings, schools, condominiums, etc. visited by specific persons.

[0019] In the present embodiment, the proposal device 105 may generate density information from the boarding and alighting history information and make a proposal based on the density information. FIG. 3 is a table showing an example of the density information in Embodiment 1. The "density information" in the present embodiment means information on the number of boarding and alighting passengers for each time zone on a specific floor. In the example of FIG. 3, distribution data of the number of alighting passengers per hour on a specific floor is shown. Note that the "number of boarding and alighting passengers" in the present disclosure may include any of the "number of boarding passengers", the "number of alighting passengers", or the "number of boarding and alighting passengers". The proposal system according to the present embodiment can make a more objective and effective proposal by making a proposal based on the density information.

[0020] The detailed information may be based on specific attributes of user 101. For example, the detailed information may be generated targeting women in their 20s. By making suggestions based on detailed information targeting specific attributes, it becomes possible to make more targeted and effective suggestions.

[0021] The density information is information about the number of people occupying each floor within a building at different times of the day. This density information is thought to be influenced by existing facilities within the building, such as tenants like shops or offices. Therefore, for example, as a suggestion regarding the services of existing facilities within the building, it may be possible to suggest tenant operating hours. For example, a specific threshold may be set based on the number of people getting on or off at each time of day on the floor where the target tenant is located, and appropriate operating hours may be suggested according to that threshold. For example, for a tenant whose target user 101 has defined attributes, density information targeting specific attributes may be generated from boarding / alighting history information including attribute information, and the tenant's operating hours may be suggested from this density information. According to this example, more appropriate operating hours can be suggested.

[0022] For example, if a tenant targeting women in their 20s is located on the 4th floor of a building, density information for women in their 20s on the 4th floor is obtained. Then, for example, a threshold of 20 people is set, and the time slots during which 20 or more people disembark on the 4th floor are proposed as business hours. If the obtained density information is as shown in Figure 3, for example, the time slot from 7:00 AM to 8:00 PM would be proposed as business hours. In this example, it is possible to support the setting of business hours during the time slots when there are many users 101 with the target attributes on the floor where the target tenant is located. This can help increase the tenant's profits. It also has the effect of supporting users 101 to use the tenant efficiently, and staffing according to the number of users 101 at each time slot.

[0023] For example, suppose information is obtained from density data indicating that a particular floor has a high density of users 101 with specific attributes. In this case, the building owner may be offered a suggestion regarding the installation of facilities that match the preferences of these users 101 with specific attributes. By utilizing the attribute information and density data of the target users, the suggestion device 105 can suggest a floor suitable for installing the facilities. This allows, for example, a store or equipment to be installed in a location where many users 101 with the target attributes gather. In this example, the effect is to support increased profitability for the store or efficient use of facilities by users 101.

[0024] The means for acquiring boarding and alighting history information in this disclosure may, for example, acquire boarding and alighting history information for another building already located in the vicinity of the building targeted by the proposed system. This "another building" may be a building with a different purpose or structure than the building targeted by the proposed system. This "another building" may, for example, be a public facility such as a station located outside the target building. Alternatively, the means for acquiring boarding and alighting history information may, for example, acquire boarding and alighting history information for another building of the same type as the building targeted by the proposed system. This "another building of the same type" may be a building with a similar purpose and structure located near the building targeted by the proposed system, or it may be a building located at a different location.

[0025] Furthermore, the boarding and alighting history storage means may store boarding and alighting history information for other existing buildings or other similar buildings located around the building targeted by the proposed system. Based on this boarding and alighting history information, the proposal means may generate and propose information on the building's specifications to increase pedestrian traffic. This "building specification information" is generated, for example, as information linking user 101 attribute information, information on the building's facilities, and building specifications. According to this example, effective proposals based on actual experience become possible during the planning stage of constructing a new building.

[0026] Furthermore, if the building targeted by the proposed system undergoes renovation, the boarding / alighting history information acquisition means may, for example, acquire boarding / alighting history information before the renovation. The boarding / alighting history storage means may store boarding / alighting history information from before the renovation. The proposal means may then make proposals regarding the installation of facilities within the building or proposals regarding services for facilities within the building based on the boarding / alighting history information from before the renovation. By utilizing past boarding / alighting history information from before the renovation, it becomes possible to make even more accurate proposals.

[0027] Even if the entire building is not renovated, changes to the building's specifications may occur, such as tenants withdrawing, new tenants opening, or new facilities being installed. The passenger boarding and alighting history storage means may store passenger boarding and alighting history information before and after the changes in the building's specifications. The proposal means may then compare the passenger boarding and alighting history information stored in the passenger boarding and alighting history storage means with the passenger boarding and alighting history information before and after the changes in the building's specifications, and make proposals based on the changes in the passenger boarding and alighting history information. By accumulating actual performance information while the building is actually in operation and making proposals that utilize this accumulated performance information, it becomes possible to make even more accurate proposals.

[0028] Figure 4 shows an example of the hardware configuration of the main part of the proposed system according to Embodiment 1. The functions of the elevator control panel 102, authentication unit 103, information recording unit 104, and proposed device 105, which are the main parts of the proposed system, can be realized by a processing circuit. The processing circuit includes, for example, a ROM 200a (ROM: Read Only Memory), a RAM 200b (RAM: Random Access Memory), an EEPROM 200c (EEPROM: Electrically Erasable Programmable Read-Only Memory), and a CPU 200d (CPU: Central Processing Unit). The ROM 200a stores programs to be executed on the proposed system. The RAM 200b stores operational information, such as temporary storage of communication packet data. The EEPROM 200c stores information such as command data and command response data for playback. The CPU 200d executes the programs stored in the ROM 200a. Part or all of the processing circuit may be configured by dedicated hardware. Some or all of the processing circuit may be composed of software or firmware, etc.

[0029] In this embodiment, the proposed system, for example, involves each device such as the elevator control panel 102, authentication unit 103, information recording unit 104, and proposed device 105, reading a program recorded on a recording medium and executing each function according to that program. The recording medium on which the program is recorded may be, for example, built into the processing circuit of each device, connected to each device, or the information may be read by a reading device such as a drive in each device. The program may be a software package containing multiple pieces of software that run on each of the multiple devices constituting the proposed system.

[0030] Figure 5 shows an example configuration for realizing the functions of the proposed device 105 in Embodiment 1. The functions of the proposed device 105, which is the main component of the proposed system according to Embodiment 1, can be realized, for example, by a learning device and an inference device that use known algorithms such as supervised learning or reinforcement learning. Figure 5 shows an example of a learning device and an inference device when supervised learning is used.

[0031] As shown in Figure 5, the learning device that realizes the functions of the suggestion device 105 includes, for example, a data acquisition unit 107 that acquires learning data including the attributes of the user 101 and suggestions to improve the satisfaction of the user 101 that match those attributes as input data, and a model generation unit 108 that uses this learning data, which consists of a combination of both data, to generate a trained model for inferring suggestions from boarding and alighting history information including attribute information. The trained model generated by the model generation unit 108 is stored in the storage unit 109.

[0032] Furthermore, the inference device that realizes the functions of the proposal device 105 includes, for example, a data acquisition unit 110 that acquires boarding and alighting history information including attribute information of the user 101, and an inference unit 111 that outputs a proposal from the boarding and alighting history information acquired by the data acquisition unit 110 and a trained model stored in the storage unit 109.

[0033] For example, the suggestion device 105 generates density information targeting specific attributes from boarding and alighting history information including attribute information, and makes suggestions using a trained model stored in the memory unit 109 to improve the density of attributes and the satisfaction of users 101 that match these attributes.

[0034] Figure 6 shows another example of a learning device that implements the functions of the proposed device 105 in Embodiment 1. Figure 7 shows another example of an inference device that implements the functions of the proposed device in Embodiment 1.

[0035] In the example shown in Figure 6, reinforcement learning is used. In the example in Figure 6, the data acquisition unit 107, which constitutes the learning device, acquires learning data that includes information on the changes in boarding and alighting history information before and after the adoption of a proposal by the proposal device 105, and information on the adopted proposal, as input data. The model generation unit 108 calculates a reward using the change in density information as the reward criterion, generates a trained model, and updates the trained model stored in the storage unit 109.

[0036] In the example shown in Figure 7, the data acquisition unit 110, which constitutes the inference device, acquires building information such as the location and specifications of the building targeted by the proposed system as input data. The inference unit 111 then references, for example, passenger boarding and alighting history information from another building of the same type as the building targeted by the proposed system, and outputs a proposal.

[0037] The various aspects of this disclosure are summarized below as an appendix.

[0038] (Note 1) A means for acquiring boarding and alighting history information for elevator users installed in a building, A boarding / alighting history storage means that stores the boarding / alighting history information acquired by the boarding / alighting history information acquisition means, Based on the boarding and alighting history information stored in the boarding and alighting history storage means, a proposal means makes a proposal regarding the installation of facilities within the building or a proposal regarding the services of facilities within the building, A proposal system equipped with the following features. (Note 2) The proposed system according to Appendix 1, characterized in that the boarding and alighting history information includes attribute information which is information about the user's attributes. (Note 3) The proposal means is characterized by making a proposal based on information on the number of passengers getting on and off at specific times of day for specific attributes on a specific floor level, as described in Appendix 2. (Note 4) The proposal system described in Appendix 3 is characterized in that the proposal means makes a proposal for the tenant's business hours. (Note 5) The proposed means is a proposed system according to any one of the appendices 1 to 4, characterized in that it generates and proposes information on the specifications of a building in such a way that it increases pedestrian flow, based on the boarding and alighting history information of another building or another building of the same type that is already located in the vicinity of the building. (Note 6) The proposed means is a proposal system described in any one of the appendices 1 to 5, which makes a proposal regarding the installation of facilities within the building or a proposal regarding the services of facilities within the building, based on the boarding and alighting history information of the building before the renovation. (Note 7) The proposed means is a proposal system described in any one of the appendices 1 to 6, which makes a proposal regarding the installation of facilities within the building or a proposal regarding the services of facilities within the building, based on the changes in the boarding and alighting history information before and after the specification change of the building. (Note 8) A learning device for a proposal system that makes suggestions regarding the installation of facilities within a building or the services of facilities within a building, utilizing information on the boarding and alighting history of elevator users installed in the building, A data acquisition unit acquires learning data including the attributes of users of the aforementioned building and proposals to improve user satisfaction that match those attributes. A model generation unit generates a trained model for inferring proposals from the boarding and alighting history information, which includes attribute information, which is information about the user's attributes, using the aforementioned training data. A learning device equipped with this device. (Note 9) An inference device relating to a proposal system that makes suggestions regarding the installation of facilities within a building or the services of facilities within a building, utilizing information on the boarding and alighting history of elevator users installed in the building, A data acquisition unit that acquires the boarding and alighting history information, which includes attribute information that is information about the attributes of the user, An inference unit that outputs a proposal from the boarding and alighting history information including the attribute information, An inference device equipped with this device. [Explanation of Symbols]

[0039] 100 Elevator, 101 User, 102 Elevator control panel, 103 Authentication unit, 104 Information recording unit, 105 Proposal device, 106 Monitoring room, 107 Data acquisition unit, 108 Model generation unit, 109 Storage unit, 110 Data acquisition unit, 111 Inference unit, 200a ROM, 200b RAM, 200c EEPROM, 200d CPU

Claims

1. A means for acquiring boarding and alighting history information for elevator users installed in a building, A boarding / alighting history storage means that stores the boarding / alighting history information acquired by the boarding / alighting history information acquisition means, Based on the boarding and alighting history information stored in the boarding and alighting history storage means, a proposal means makes a proposal regarding the installation of facilities within the building or a proposal regarding the services of facilities within the building, A proposal system equipped with the following features.

2. The proposed system according to claim 1, characterized in that the boarding and alighting history information includes attribute information which is information about the user's attributes.

3. The proposal system according to claim 2, characterized in that the proposal means makes a proposal based on information on the number of passengers getting on and off at specific times of day for specific attributes on a specific floor.

4. The proposal system according to claim 3, characterized in that the proposal means makes a proposal for the tenant's business hours.

5. The proposed means is characterized by generating and proposing information on the building's specifications in such a way as to increase pedestrian flow, based on the boarding and alighting history information of other buildings or other buildings of the same type that are already located around the building.

6. The proposal means provides a proposal regarding the installation of facilities within the building or a proposal regarding services for facilities within the building, based on the boarding and alighting history information of the building before renovation, according to the proposal system according to claim 1 or claim 2.

7. The proposal system according to claim 1 or 2, wherein the proposal means makes a proposal regarding the installation of facilities within the building or a proposal regarding the services of facilities within the building, based on the changes in the boarding and alighting history information before and after the specification change of the building.

8. A learning device for a proposal system that makes suggestions regarding the installation of facilities within a building or the services of facilities within a building, utilizing information on the boarding and alighting history of elevator users installed in the building, A data acquisition unit acquires learning data including the attributes of users of the aforementioned building and proposals to improve user satisfaction that match those attributes. A model generation unit generates a trained model for inferring proposals from the boarding and alighting history information, which includes attribute information, which is information about the user's attributes, using the aforementioned training data. A learning device equipped with this device.

9. An inference device relating to a proposal system that makes suggestions regarding the installation of facilities within a building or the services of facilities within a building, utilizing information on the boarding and alighting history of elevator users installed in the building, A data acquisition unit that acquires the boarding and alighting history information, which includes attribute information that is information about the attributes of the user, An inference unit that outputs a proposal from the boarding and alighting history information including the attribute information, An inference device equipped with this device.

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