Guidance System

The guidance system optimizes travel routes in large facilities by using supervised machine learning to group users and provide unique guidance patterns, addressing congestion and inefficiencies in existing systems.

JP7597258B1Active Publication Date: 2024-12-10MITSUBISHI ELECTRIC BUILDING SOLUTIONS CORP

Patent Information

Application Number
JP2024034004
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2024-03-06
Publication Date
2024-12-10
Estimated Expiration
2044-03-06

AI Technical Summary

Technical Problem

Existing guidance systems in large complex facilities struggle to provide flexible and optimal travel routes to users due to varying user numbers and destinations, leading to potential congestion and inefficiencies.

Method used

A guidance system that includes an input section for destination information, a classification unit for grouping users into travel routes using supervised machine learning, and an identification code generation unit to provide unique guidance patterns for each route, optimizing elevator dispatch and user navigation.

Benefits of technology

The system effectively guides users to their destinations by dynamically grouping them into optimal routes, reducing congestion and improving navigation efficiency within the facility.

✦ Generated by Eureka AI based on patent content.

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Abstract

It responds flexibly to various situations within the facility and provides more appropriate guidance to each facility user's desired destination. [Solution] The guidance system disclosed herein includes an input unit that accepts input of destination information, which is information regarding a user's destination; a memory unit that stores the destination information input to the input unit in association with location information of the destination; a classification unit that classifies each of the destination information input within a reference time based on the location information stored in the memory unit into travel routes for each destination group; an identification code generation unit that generates an identification pattern corresponding to each of the travel routes so that each of the travel routes is distinguishable from one another; and a guidance unit that provides guidance regarding the travel routes classified by the classification unit for each of the destination information, using the identification pattern corresponding to each of the travel routes.
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Description

[Technical field]

[0001] The present disclosure relates to guidance systems. [Background technology]

[0002] In a large complex with many stores, a user searches for the store in question from a floor guide of the facility and determines which floor to go to. When moving to a floor, the user must determine the appropriate elevator to go to that floor, specify the elevator's up or down direction or floor number from the current floor, and identify the elevator car number to board. In this way, many steps are required to move to a destination in a large complex.

[0003] Regarding user movement within a facility, for example, Patent Document 1 proposes a floor registration device that reads out store information using a keyword as a key, and calls and registers the floor on which the read out store is located as the destination floor of an elevator. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2004-277019 A Summary of the Invention [Problem to be solved by the invention]

[0005] In large complexes, there are generally many users, and it is expected that there are multiple elevators available, and that destinations are not one-to-one with keywords. Furthermore, the number of users in a facility changes in a complex manner depending on the time of day, etc. It is difficult to derive a uniquely optimal transportation method using a simple formula or the like depending on these conditions. Therefore, it is not always possible to provide flexible guidance according to the situation for each user, and guidance may actually cause congestion or congestion. In this respect, there is still room for improvement in the floor registration device of Patent Document 1.

[0006] In consideration of the above-mentioned problems, the present disclosure provides an improved guidance system that can flexibly respond to various conditions within a facility and more appropriately provide each user of the facility with a route to their desired destination. [Means for solving the problem]

[0007] The guidance system according to the present disclosure includes an input unit that receives input of destination information, which is information related to a user's destination, and , the time when the destination information is input, A storage unit that stores the location information of a destination in association with the location information of the destination stored in the storage unit. Each destination information is input time and Location information and Based on ,eye a classification unit that classifies the travel routes into groups of target locations; and an identification code generation unit that generates an identification pattern corresponding to each of the travel routes so that each of the travel routes can be distinguished from another. Included in each of the migration routes For each destination , move Movement path Each of and a guidance unit that notifies guidance regarding the travel route by using an identification pattern that corresponds to each of the travel routes. Effect of the Invention

[0008] Users who wish to travel to specific destinations scattered throughout the facility at specific times can be grouped into travel routes to the destinations and guided using a common identification pattern, thereby enabling appropriate guidance to the destinations. [Brief description of the drawings]

[0009] [Figure 1] 1 is a block diagram illustrating a schematic configuration of a guidance system and its peripheral devices according to a first embodiment of the present disclosure. [Diagram 2] FIG. 13 is a diagram showing an example of a screen displayed on a display of a guidance terminal according to the first embodiment of the present disclosure; [Diagram 3] 5A to 5C are diagrams illustrating an example of display of guide information displayed on a guide unit according to the first embodiment of the present disclosure. [Figure 4] 5A to 5C are diagrams illustrating an example of display of guide information displayed on a guide unit according to the first embodiment of the present disclosure. [Diagram 5] FIG. 2 is a diagram showing an example of guidance information displayed on a guide display in an elevator car in accordance with the first embodiment of the present disclosure. [Figure 6] FIG. 2 is an enlarged view of an example of a screen displayed on a display of a guide indicator in an elevator car in accordance with the first embodiment of the present disclosure. [Figure 7] 5A to 5C are diagrams illustrating an example of display of guide information displayed on a guide unit according to the first embodiment of the present disclosure. [Figure 8] FIG. 2 is a diagram showing an example of a data set used in supervised machine learning in the guidance system according to the first embodiment of the present disclosure. [Figure 9] 4 is a flowchart for illustrating a control operation executed by the guidance system according to the first embodiment of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, an embodiment will be described with reference to the drawings. In each drawing, the same or corresponding parts are denoted by the same reference numerals, and the description thereof will be simplified or omitted.

[0011] Embodiment 1 <System configuration> 1 is a block diagram showing a schematic configuration of a guidance system and its peripheral devices according to embodiment 1. Guidance system 1 is a system for providing a user who uses a facility with a desired store by searching for the store using a keyword or the like, the user with the corresponding store and information about the store.

[0012] The guidance system 1 includes a guidance terminal 10 and a guidance device 20. Although only one guidance terminal 10 is shown in FIG. 1, the guidance system 1 may include multiple guidance terminals 10. The guidance terminal 10 is, for example, fixedly installed in advance on each floor of a facility and used. Alternatively, a mobile terminal (not shown) such as a smartphone owned by a user may function as the guidance terminal 10.

[0013] The guidance terminal 10 includes an input unit 11, a display unit 12, and an announcement unit 13. The input unit 11 accepts operational input from a user. The input unit 11 includes, for example, a touch display or an operation button, and accepts operational input such as input of a keyword related to a store or the like desired by the user. The input unit 11 may also include a microphone and accept voice input from the user.

[0014] The display unit 12 displays information to a user. The display unit 12 includes a display for displaying information by, for example, characters, figures, or symbols. The announcing unit 13 notifies the user of information by voice.

[0015] The guidance device 20 includes a storage unit 21, a classification unit 22, and an identification code generation unit 23. The functions of the guidance device 20 will be described later.

[0016] Moreover, the guidance system 1 includes a setting unit 30, guidance units 31 to 33, and an elevator communication unit 34. The setting unit 30 is an information setting terminal for performing advance learning and setting of information for the storage unit 21. The setting unit 30 may be an external PC connected to the storage unit 21 via a network, or, for example, the guidance terminal 10 may have the function of the setting unit 30.

[0017] The guidance units 31 to 33 are notification means for notifying users of information, and are installed in various locations within the facility. The guidance units 31 to 33 have, for example, either display means for displaying information by characters, figures, or symbols, or a speaker for notifying information by voice. Although three guidance units 31 to 33 are illustrated in FIG. 1, there is no limit to the number of guidance units 31 to 33 that can be installed.

[0018] One or more elevator control devices 40 are installed under the elevator communication unit 34. The elevator communication unit 34 manages the operation of each connected elevator control device 40. An elevator control device 40 is installed for each elevator car. Each elevator control device 40 drives the hoisting machine required for the operation of each elevator car, controls the car, hall equipment, and entrance doors, and monitors the sensors and switches installed in the hoistway and around the doors.

[0019] An in-car guide display 41 is connected to the elevator control device 40. The presentation of information by each in-car guide display 41 is controlled by the elevator control device 40. Each in-car guide display 41 is equipped with a display for displaying information by characters, figures, or symbols. The guide display 41 may also be equipped with a speaker for presenting information by voice.

[0020] The guidance terminal 10 and the guidance device 20, more specifically, between the input unit 11 and the memory unit 21 of the guidance terminal 10, between the memory unit 21 and the display unit 12, between the memory unit 21 and the announcement unit 13, between the identification code generation unit 23 and the display unit 12, and between the identification code generation unit 23 and the announcement unit 13, are connected in a state allowing data to be sent and received.

[0021] Similarly, the guiding device 20 and the guiding units 31 to 33, more specifically, the memory unit 21 and the guiding units 31 to 33, and the identification code generating unit 23 and the guiding units 31 to 33 are connected via a communication interface in a state where data can be transmitted. The classification unit 22 of the guiding device 20 and the elevator communication unit 34 are connected in a state where data can be transmitted and received. The elevator communication unit 34 and the elevator control device 40, and the elevator control device 40 and the guide display 41 in the car are connected in a state where data can be transmitted and received.

[0022] The above-mentioned connections between the guidance terminal 10 and the guidance device 20, between the guidance device 20 and the guidance units 31 to 33, between the guidance device 20 and the elevator communication unit 34, between the elevator communication unit 34 and the elevator control device 40, and between the elevator control device 40 and the guidance display 41 in the car may be made by either a wired or wireless method. In the case of wireless connections, each connection is made through a Wi-Fi network via a Wi-Fi wireless access point installed in the facility, or through an Internet network or a mobile phone network via an Internet gateway.

[0023] <Guide system functions> The guidance system 1 according to the first embodiment has a guidance function that dynamically groups users who are going to specific destinations scattered in a facility during a specific time period, and provides guidance using a common identification pattern for each grouped travel route. The functions of each unit of the guidance system 1 described above to realize this guidance function will be described.

[0024] The setting unit 30 sets the storage unit 21 by having the storage unit 21 learn destination information in advance. Here, the destination information may include various search terms such as keywords related to each destination, store names, and location information of each destination. In addition, the location information may include information such as the floor of the destination and the location within the floor of the destination.

[0025] When a user who uses the facility inputs destination information, such as various search terms or store names, from the input unit 11, the input unit 11 accepts the input of the destination information and transmits the information to the memory unit 21.

[0026] The storage unit 21 of the guidance device 20 stores destination information in association with various search terms, store names, and location information corresponding to the destination information, based on the pre-settings made by the setting unit 30. The information stored in the storage unit 21 may be in the form of an on-premise database environment in which keywords are set and learned based on the destination information obtained from the input unit 11 or the setting unit 30. Alternatively, the storage unit 21 may be linked to a search service on the Internet, such as a cloud environment. This allows various natural languages ​​input by the user from the input unit 11 to be converted into expected destination information.

[0027] Furthermore, the storage unit 21 stores destination information input by the user from the input unit 11 in association with the input time and the identification information or location information of the guidance terminal 10 used for the input.

[0028] The classification unit 22 receives destination information, the input time stored in association with the destination information, position information of the guidance terminal 10, and the like from the storage unit 21. The classification unit 22 dynamically classifies the destinations into travel routes to a group of destinations using a trained model, and outputs the classification results as travel routes to the group of destinations corresponding to each piece of destination information.

[0029] Here, the destination group is, for example, the entire floor including the destination information, or a plurality of destinations within a determined range on the same floor including the destination information, etc. The destination group is appropriately set by the classification unit 22 when classifying the destination information.

[0030] The trained model used in the classification unit 22 is based on an algorithm constructed based on supervised machine learning using static data including the positions of each information terminal 10, combined routes from the positions of the expected areas in the facility to each destination via specific intermediate points, and the distances therebetween. The specific details of the learning method of the algorithm will be described later. The specific intermediate points in the static data include the location of the elevator, the elevator capacity, and information on floors that can be reached. This makes it possible to consider the number of people allocated to the elevator at the scheduled boarding time and information on floors that can be reached as one of the classification attributes when classifying travel routes to a group of destinations using the algorithm.

[0031] Specifically, when destination information is input from the input unit 11, the classification unit 22 classifies the destination information into travel routes to the group of destinations by referring to the following information. (a) The location of the information terminal 10 used to input the destination information (b) Location information associated with destination information (c) The time when the user inputs the destination information from the input unit 11 (2) Destination information input from a guidance terminal 10 within a reference range from the guidance terminal 10 used for input within a reference time based on the input time (e) Elevator attribute information located on the travel route to the destination group

[0032] The information (a) and (c) are included in the information input to the memory unit 21 together with the destination information when the destination information is input from the input unit 11 to the memory unit 21. The information (b) and (c) are acquired from the data stored in the memory unit 21. The reference time and reference range are also set appropriately when the classification unit 22 classifies the information. However, the reference time and reference range may be set in advance. The elevator attribute information (e) may include, for example, the capacity of each elevator, the number of passengers in the usage time period, and information on the floors to which the elevator can be moved. This information is acquired by the elevator communication unit 34 from the elevator control device 40 and via the elevator communication unit 34.

[0033] The classification unit 22 assigns identification information to the travel routes to the destination groups into which the destination information has been classified, and outputs the result of the classification to the storage unit 21 and the identification code generation unit 23. The storage unit 21 stores the travel routes to the destination groups corresponding to the destination information in association with the identification information.

[0034] Furthermore, when an elevator is included on the travel route to the destination group as a result of classification by the classification unit 22, the classification unit 22 outputs a dispatch command for that elevator to the elevator communication unit 34. The elevator control device 40 for that elevator receives the dispatch command from the elevator communication unit 34 and controls the operation of that elevator. Furthermore, the elevator control device 40 outputs information such as dispatch information for each elevator to the elevator communication unit 34.

[0035] The identification code generation unit 23 generates an identification pattern that allows a travel route to the group of destinations classified by the classification unit 22 to be uniquely distinguished from other travel routes. Specifically, an identification pattern such as a color, a symbol, a character string, a sound, or a vibration is selected from a pattern data set and assigned in association with the identification information of the travel route. The pattern data set is stored in advance in the storage unit 21. Furthermore, when an identification pattern is assigned to a travel route to a certain group of destinations, the storage unit 21 stores, together with the pattern data set, that the identification pattern is currently assigned. An assigned identification pattern is prohibited from being assigned to another travel route until the assignment is released.

[0036] As a result of the floor search by the user, the identification pattern P generated by the identification code generating unit 23 and guidance information for guiding the user to the travel route of the identification information corresponding to the identification pattern P are displayed on the guidance terminal 10, the guidance units 31-33, and the guidance display 41 in the car, or are notified by voice. The guidance information for guiding the user to the travel route may include, for example, information such as the travel direction, route information on the facility map, the time required for travel, and the elevator number to be boarded. The guidance terminal 10, the guidance units 31-33, and the elevator control device 40 acquire guidance information to be displayed at the installation positions of the guidance units 31-33, etc. from the storage unit 21, convert it into an appropriate display form, and display it. Examples of these displays and notifications will be described with reference to Figs. 2-6.

[0037] Fig. 2 is a diagram showing an example of a screen displayed on the display of the guidance terminal. When a user performs a floor search, for example, a screen as shown in Fig. 2 is displayed on the guidance terminal 10. In the portion of the display screen of the guidance terminal 10 that serves as the input unit 11, for example, an input field 11A that the user can operate and input is displayed. A user who uses the facility can start a search for a desired floor by inputting destination information including various search terms, store names, or floor information, etc., into the input field 11A.

[0038] When a user performs a floor search, guidance information 12A obtained by processing of the guidance device 20 and the corresponding identification pattern P are displayed on the display unit 12. The guidance information displayed on the display unit 12 may include a moving direction from a current position, route information on a map of an interior of the facility, and a time required for moving. Also, it is displayed that the guidance information for the user is indicated by the identification pattern P. Also, together with the display of the guidance information, the announcement unit 13 announces guidance information 13A by audio output.

[0039] 3 and 4 are diagrams showing examples of display of guidance information on a guidance unit. The example in Fig. 3 is an example in which the guidance unit 31 is a guide board in the vicinity of an elevator landing door 42. As shown in Fig. 3, in the vicinity of the elevator entrance / exit, an identification pattern P and the elevator car number associated with the identification pattern P are displayed as guidance information 31A.

[0040] The example in Fig. 4 is an example in which the guidance unit 32 is a guidance display device installed above the landing door 42. As shown in Fig. 4, the guidance unit 32 displays the recognition pattern P and information related to the recognition pattern P as guidance information 32A. Alternatively, the guidance unit 32 may display only the recognition pattern P.

[0041] Fig. 5 is a diagram showing an example of a guidance display in an elevator car. Fig. 6 is a diagram showing an enlarged example of a screen displayed on the display of the guidance display in the car. As shown in Fig. 5, guidance display 41 is installed near car door 45. Guidance display 41 includes display 43, which is a display unit, and announcing unit 44. Guidance information 44A is announced by voice guidance from announcing unit 44.

[0042] 6, the display 43 is provided with an elevator information display section 43A and a guidance section 43B. The elevator information display section 43A displays elevator operation information and the like as information commonly notified to all passengers in the car. The guidance section 43B displays a recognition pattern P and information related to the recognition pattern P as guidance information 43C.

[0043] Fig. 7 is a diagram showing an example of display of guidance information in a guidance unit. The example in Fig. 7 is an example of guidance unit 33 that displays guidance on the floor surface of the route. As shown in Fig. 7, guidance unit 33 includes a projector 33A. Projector 33A displays an identification pattern P and guidance information 33B, which is information related to identification pattern P, on floor surface 35 on the movement route. Also, while Fig. 7 shows an example in which floor surface 35 is used as the guidance unit, guidance information may be displayed on a ceiling, a wall surface, or the like, for example.

[0044] <Learning> Next, construction of an algorithm by supervised machine learning by the classification unit 22 will be described. FIG. 8 is a diagram showing an example of a dataset used in supervised machine learning. This dataset includes, as input data 100, destination location information 101, movement start point location information 102, movement information 103 of other subjects, and operation schedule information 104 of elevators in the facility. The movement information 103 of other subjects is movement information of other subjects in a time period when the movement starts. This movement information may include information on the planned number of other subjects at an intersection of a facility passage that can be used to move from the movement start point to the destination at the time when the subject can reach the intersection. In addition, the operation schedule information 104 of the elevators in the facility is information on all elevators in the facility. The operation schedule information 104 may include information on the allocation status of passengers assigned to the elevators that can be used to move from the movement start point to the destination group at the time when the subject can reach the elevator. The dataset includes information on the movement route to the destination group, which is output data 110.

[0045] The data set is created, for example, by collecting the subjects' travel routes from the starting point of travel within a facility to the group of destinations. The subjects are, for example, users of the facility. When collecting the travel routes, the subjects are made to wear or carry an information terminal capable of recording the travel routes using a position information acquisition means such as a GPS.

[0046] The subject determines the starting point of the route, sets a group of destinations, and selects the optimal route to the group of destinations. As a support, a system is provided on the information terminal that can monitor the congestion status of corridors and elevators along the route in real time based on the location information of other subjects in the facility. This encourages the subject to select the optimal route to the group of destinations.

[0047] After arriving at the group of destinations, the actual travel route and the time required for travel are collected from the information terminal. The subject also rates the comfort of the travel, including the degree of congestion and ease of travel, on a scale. The subject inputs the result of the scale rating into the information terminal. Based on the result of the subject's numerical input, the collected data is weighted and used as a reward for the learning data. Based on the input data and output data acquired in this manner, an algorithm of the trained model used in the classification unit 22 is constructed.

[0048] The location of each guidance terminal 10, map information of the expected area, and information of each destination are provided when machine learning is performed, and when such information is updated, the algorithm is reconfigured by performing machine learning again. When information is updated, for example, information is updated when a store in a facility is changed, or when a guidance terminal 10 is added or its location is changed.

[0049] <Operation> Fig. 9 is a flowchart for explaining the control operation executed by the guidance system according to the first embodiment. The process in Fig. 9 is executed every time guidance terminal 10 accepts an operation input from a user. To operate this system, it is necessary to set in advance in memory unit 21 destination information and related search word data from the setting unit. It is also necessary to construct an algorithm for classification unit 22 corresponding to the contents of memory unit 21. The following procedure will be explained on the assumption that these initial settings have been performed.

[0050] In the control process in Fig. 9, first, in step S100, when a user inputs a search term related to destination information from the input unit 11 of the guidance terminal 10, the input unit 11 of the guidance terminal 10 detects the input of the search term related to the destination information by the user. Note that in the following process, when it is necessary to explain the destination information input by a given user, the travel route into which that destination information is classified, and the identification pattern corresponding to that travel route in distinction from the destination information of other users, the travel routes to the destination groups of other users, and the identification patterns, they will be particularly referred to as "target destination information," "target travel route," and "target identification pattern."

[0051] Next, in step S101, candidates related to the destination information corresponding to the input search term are presented from the storage unit 21. When there are multiple candidates, the candidates are presented on the display unit 12, for example, in order of relevance. When only one candidate is presented, the user makes an input to select or not select that candidate, and when multiple candidates are presented, the user makes an input to select one of the candidates. The input unit 11 accepts the user's input of the candidate selection. Information such as the target destination information and the position information of the guidance terminal 10 where the input was made is input into the storage unit 21.

[0052] Next, in step S102, the classification unit 22 classifies the target destination information into travel routes to a group of destinations according to the selected destination information, etc. When the classification process is performed by the classification unit 22, the classification result is output to the identification code generation unit 23. Furthermore, if an elevator exists in the target travel route, the classification unit 22 outputs an elevator dispatch instruction to the elevator communication unit 34.

[0053] Next, in step S103, the identification code generation unit 23 converts the classification result by the classification unit 22 into an identification pattern. In step S104, the elevator communication unit 34, which has received the elevator dispatch instruction, issues a dispatch command to the elevator control device 40 of the elevator included in the target movement route. As a result, the elevator of the target elevator starts operation. However, for example, if the distance between the user's movement start position and the elevator of the target elevator is far, the dispatch command is executed taking into consideration the time it takes for the user to reach the elevator landing of the target elevator. Note that the operation of elevators is well known, so a detailed explanation will be omitted.

[0054] In step S105, the identification code generation unit 23 appropriately outputs the target identification pattern to the display unit 12, the announcement unit 13, the guidance units 31 to 33, and the elevator communication unit 34 of the guidance terminal 10. In step S106, guidance information for the target movement route related to the identification pattern is appropriately output from the storage unit 21 to the display unit 12, the announcement unit 13, the guidance units 31 to 33, and the elevator communication unit 34 of the guidance terminal 10.

[0055] In step 107, the target identification pattern received from the identification code generation unit 23 and the associated guidance information are notified to the user by the display unit 12 or the announcement unit 13.

[0056] Further thereafter, in step S108, the target identification pattern and related guidance information are notified to the user from each of the guide units 31, 32, and 33 on the target movement route.

[0057] In step S109, the target identification pattern and related guidance information are notified from the guide display 41 in the car of the target elevator in accordance with the operation status of the elevator control device.

[0058] Next, in step S110, the time elapsed since the user selected the target destination information is setting It is determined whether the time has elapsed.

[0059] If it is determined in step S110 that the set time has not elapsed, the process of step S110 is repeated. On the other hand, if it is determined in step S110 that the set time has elapsed, then in step S111, the guidance in each guidance unit is terminated. Additionally, in step S112, the classification result used in the current route guidance is erased from the storage unit 21, and the allocation of the target identification pattern in the identification code generation unit 23 is released. Thereafter, the current process is temporarily terminated.

[0060] As described above, the guidance system according to the present embodiment enables a user in a facility to search for a desired store or the like using the guidance terminal 10, and to specify information such as a travel route to a group of destinations in the facility during that time period, the elevator to board, and the floor to get off on, based on the integrated guidance information. This relieves the user from the need to search for a travel route to a group of destinations or to call an elevator to board.

[0061] In addition, because the guidance information for that time period is managed in an integrated manner, the routes to the destinations of other users in the facility are optimally distributed, making it possible to avoid congestion on routes to the destinations and on elevators. In addition, by using voices, symbols, etc. in addition to displays as identification patterns used as guidance methods, it becomes possible to provide appropriate guidance to users who are not able-bodied.

[0062] In the present embodiment, the classification unit 22 performs classification based on an algorithm that has been machine-learned in advance. However, the present invention is not limited to this, and the classification unit 22 may optimize the classification result by additionally learning information such as the location of each user in the facility during the time period when the destination information is input, the destination, and the number of passengers in the elevator, by extending the learned algorithm.

[0063] In this embodiment, information on elevator locations and the like is included as route information in the learning data for the machine learning of the algorithm of the classification unit 22. In addition, when classifying by the classification unit 22, the number of passengers allocated to the elevator, information on floors that can be moved to, and the like are taken into consideration as one of the classification attributes, and the elevator boarding number is associated with the movement route of the classification result. This makes it possible to select an appropriate movement route, and simultaneously select an elevator required for that movement and register the call.

[0064] In addition, in the present embodiment, an example in which an elevator facility is installed in the facility has been shown, but the present invention is not limited to this. For example, the present invention can be applied to cases in which a train, bus, or similar means of transportation operating within the facility, an escalator, a travector (i.e., a moving walkway), stairs, etc. are included in the travel route. The present invention can also be used even when these facilities are not present.

[0065] In addition, in the present embodiment, the user moving within the facility is assumed to be a human being, but the present invention is not limited to this. For example, the guidance information can be used to smoothly guide an autonomous driving robot moving within the facility. In this case, instead of reporting guidance information according to the moving route, the guidance information can be directly transmitted to the robot.

[0066] Each function of the guidance system 1 realized by the components described in this specification is realized by a processing circuit. The processing circuit may be dedicated hardware or a CPU (also called a Central Processing Unit, central processing unit, processing unit, arithmetic unit, microprocessor, microcomputer, processor, DSP) that executes a program stored in a memory. When the processing circuit is dedicated hardware, the processing circuit is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination of these. Each function of the guidance system 1 may be realized by a processing circuit, or the functions of each part may be realized collectively by a processing circuit.

[0067] When the processing circuit is a CPU, each function of the guidance system 1 is realized by software, firmware, or a combination of software and firmware. Software and firmware are written as programs and stored in memory. The processing circuit realizes the functions of each part by reading and executing the programs stored in the memory. Here, memory refers to, for example, non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, EEPROM, etc., as well as magnetic disks, flexible disks, optical disks, compact disks, mini disks, DVDs, etc.

[0068] ( It should be noted that each of the functions of the guidance system 1 may be partially realized by dedicated hardware and partially realized by software or firmware. In this manner, the processing circuit can realize each of the above-mentioned functions by hardware, software, firmware, or a combination of these.

[0069] Various aspects of the present disclosure are summarized below as appendices. (Appendix 1) An input unit that accepts input of destination information that is information related to a user's destination; a storage unit that stores the destination information inputted to the input unit and position information of the destination in association with each other; a classification unit that classifies each of the destination information input within a reference time into a travel route for each destination group based on the location information stored in the storage unit; an identification code generation unit that generates an identification pattern corresponding to each of the movement paths so that each of the movement paths can be distinguished from another; a guidance unit that notifies guidance regarding the travel route classified by the classification unit for each of the destination information by using the identification pattern corresponding to each of the travel routes; A guidance system comprising: (Appendix 2) The classification unit includes: Using an algorithm constructed by supervised machine learning based on learning data including at least a combination route from the position of the input unit to a destination via a specific intermediate point and a distance of the route, classifying each of the destination information input within the reference time from a plurality of input units within a reference range into travel routes for each of the destination groups; 2. A guidance system as described in appended claim 1. (Appendix 3) The specific route includes an elevator; The learning data includes information on the location of the elevator, the capacity of the elevator, and floor information that can be reached by the elevator, When the classification unit classifies the destination information into travel routes for each of the destination groups using the algorithm, an expected number of people to be assigned to the elevator at the scheduled boarding time of the user and floor information to which the user can move by the elevator are used as one of classification attributes; The classification unit outputs, as a classification result, information on the elevator car in association with information on the travel route. 3. A guidance system as described in appendix 2. (Appendix 4) an elevator communication unit that, when an elevator is included in the travel route for each of the destination groups classified by the classification unit, transmits a command to dispatch the elevator to an elevator control device and receives dispatch information of the elevator from the elevator control device; The guidance unit notifies boarding and alighting guidance to a car of a boarding car for each of the travel routes based on the dispatch information received by the elevator communication unit. 4. A guidance system as described in appended claim 3. (Appendix 5) The identification pattern is at least one of a color, a symbol, a character string, a sound, and a vibration that can distinguish each of the movement paths from each other. 5. A guidance system according to any one of claims 1 to 4. (Appendix 6) The identification code generation unit determining the identification pattern to be assigned to one of the moving routes from among a plurality of identification patterns stored in advance, the identification pattern not being assigned to any other moving route; When the guidance for the one moving route is completed, the allocation of the identification pattern allocated to the one moving route is cancelled. 6. A guidance system as described in appended claim 5. (Appendix 7) the guidance unit includes at least one of a display unit that is disposed in a guidance terminal including the input unit and displays information, an announcement unit that is disposed in the guidance terminal and notifies information by voice, and a communication interface that transmits information to an announcement means that is disposed in the facility separately from the guidance terminal; 7. A guidance system according to any one of claims 1 to 6. (Appendix 8) When the reference time has elapsed since a point in time when one piece of destination information among the destination information is input, the classification unit erases information of the travel route corresponding to the one piece of destination information. 8. A guidance system according to any one of claims 1 to 7. [Explanation of symbols]

[0070] 1 Guidance system, 10 Guidance terminal, 11 Input section, 11A Input field, 12 Display section, 12A Guidance information, 13 Announcement section, 13A Guidance information, 20 Guidance device, 21 Memory section, 22 Classification section, 23 Identification code generation section, 30 Setting section, 31-33 Guidance section, 31A, 32A, 33B Guidance information, 33A Projector, 34 Elevator communication section, 35 Floor surface, 40 Elevator control device, 41 Guidance display, 42 Landing door, 43 Display, 43A Elevator information display section, 43B Guidance section, 43C Guidance information, 44 Announcement section, 44A Guidance information, 45 Cage door, 100 Input data, 101 Position information, 102 Location information, 103 movement information, 104 operation schedule information, 110 output data

Claims

1. An input unit that accepts input of destination information that is information related to a user's destination; a storage unit that stores the destination information input to the input unit, an input time of the destination information, and location information of the destination in association with each other; a classification unit that classifies each of the destination information stored in the storage unit into travel routes for each destination group based on the input time and the location information; an identification code generation unit that generates an identification pattern corresponding to each of the movement paths so that each of the movement paths can be distinguished from another; a guidance unit that notifies a user of guidance regarding each of the travel routes for each of the destination information included in each of the travel routes by using the identification pattern corresponding to each of the travel routes; A guidance system comprising:

2. The classification unit is Using an algorithm constructed by supervised machine learning based on learning data including at least a combination route from the position of the input unit to a destination via a specific intermediate point and a distance of the route, classifying each of the destination information into travel routes for each of the destination groups; The guidance system according to claim 1 .

3. The specific route includes an elevator; The learning data includes a location of the elevator, a capacity of the elevator, and floor information that can be reached by the elevator, When the classification unit classifies the destination information into travel routes for each of the destination groups using the algorithm, an expected number of people to be assigned to the elevator at the scheduled boarding time of the user and floor information to which the user can move by the elevator are used as one of classification attributes; The classification unit outputs, as a classification result, information on the elevator car in association with information on the travel route. The guidance system according to claim 2.

4. an elevator communication unit that, when an elevator is included in the travel route for each of the destination groups classified by the classification unit, transmits a command to dispatch the elevator to an elevator control device and receives dispatch information of the elevator from the elevator control device; The guidance unit notifies boarding and alighting guidance to a car of a boarding car for each of the travel routes based on the dispatch information received by the elevator communication unit. The guidance system according to claim 3.

5. The identification pattern is at least one of a color, a symbol, a character string, a sound, and a vibration that can distinguish each of the movement paths from each other. A guidance system according to any one of claims 1 to 4.

6. The identification code generation unit determining the identification pattern to be assigned to one of the travel routes from among a plurality of identification patterns stored in advance, the identification pattern not being assigned to any other travel route; When the guidance for the one moving route is completed, the allocation of the identification pattern allocated to the one moving route is cancelled. The guidance system according to claim 5.

7. The guidance unit includes at least one of a display unit arranged on a guidance terminal including the input unit and displaying information, an announcement unit arranged on the guidance terminal and announcing information by voice, and a communication interface for transmitting information to an announcement means arranged in the facility separately from the guidance terminal. A guidance system according to any one of claims 1 to 4.

8. the classification unit erases information of the travel route corresponding to one of the destination information when a set time has elapsed since the one of the destination information was input; 5. The guidance system according to claim 1, wherein the navigation system is a navigation system for navigating a navigation system including a navigation system for navigational devices.

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