Guidance system

Abstract

To perform more appropriate guidance to a destination desired by each user of a facility, by flexibly coping with various situations in the facility.SOLUTION: A guidance system of the present disclosure includes: an input unit configured to receive an input of destination information that is information regarding a destination of a user; a storage unit configured to store the destination information input to the input unit and position information of the destination in association with each other; a classification unit configured to classify the pieces of destination information, input within a reference time, into movement routes for destination groups according to the pieces of position information stored in the storage unit; an identification code generation unit configured to generate identification patterns corresponding to the respective movement routes so that the movement routes can be distinguished from each other; and a guidance unit configured to notify, by means of the identification patterns corresponding to the respective movement routes, guidance on each of the movement routes into which the respective pieces of destination information is classified by the classification unit.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

[0002] In a large complex housing many stores, a user searches for the store in question using the facility's floor guide and determines which floor to go to. When going to a specific floor, the user must determine the appropriate elevator to take, specify the elevator's vertical direction or floor number relative to the current floor, and identify the elevator car number to board. Thus, traveling to a destination in a large complex requires many steps.

[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 the elevator. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2004-277019 Summary of the Invention [Problem to be solved by the invention]

[0005] Large-scale complexes generally have many users, and it is expected that there will be multiple elevators available, and destinations will not be one-to-one with keywords. Furthermore, the number of users in a facility will vary in complex ways depending on the time of day, etc. It is difficult to derive a uniquely optimal travel method for these situations using a simple calculation formula, etc. Therefore, it is not always possible to provide flexible guidance tailored to each user's situation, and guidance may actually cause congestion or backlogs. In this regard, there is still room for improvement in the floor registration device of Patent Document 1.

[0006] In view of the above-mentioned problems, the present disclosure provides an improved guidance system that can flexibly respond to various situations within a facility and more appropriately provide routes to the destinations desired by each facility user. [Means for solving the problem]

[0007] The guidance system of the present disclosure includes an input unit that accepts input of destination information, which is information relating to 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 into travel routes for each destination group based on the location information stored in the memory unit; 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 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. [Effects of the Invention]

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

[0009] [Figure 1] 1 is a block diagram schematically illustrating a configuration of a guidance system and its peripheral devices according to a first embodiment of the present disclosure. [Figure 2] FIG. 10 is a diagram illustrating an example of a screen displayed on a display of a guidance terminal according to the first embodiment of the present disclosure. [Figure 3] 5A and 5B are diagrams illustrating an example of display of guidance information displayed on a guide unit according to the first embodiment of the present disclosure. [Figure 4] 5A and 5B are diagrams illustrating an example of display of guidance information displayed on a guide unit according to the first embodiment of the present disclosure. [Figure 5] FIG. 2 is a diagram showing an example of display of guidance information displayed on a guide display in an elevator car according to the first embodiment of the present disclosure. [Figure 6] 2 is an enlarged view of an example of a screen displayed on a display of a guidance indicator in an elevator car according to the first embodiment of the present disclosure. FIG. [Figure 7] 5A and 5B are diagrams illustrating an example of display of guidance information displayed on a guide unit according to the first embodiment of the present disclosure. [Figure 8] FIG. 2 is a diagram illustrating 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 illustrating a control operation executed by the guidance system according to the first embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, embodiments will be described with reference to the drawings. In each drawing, the same or corresponding parts are designated 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 of a facility with a desired store when the user searches for the store using keywords or the like, 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 terminals 10 are, for example, fixedly installed in advance on each floor of a facility. 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 inputs from the user. The input unit 11 includes, for example, a touch display or operation buttons, and accepts operational inputs such as input of keywords related to the store or the like desired by the user. The input unit 11 may also include a microphone and accept voice inputs from the user.

[0014] The display unit 12 displays information to the user. The display unit 12 includes a display for displaying information using, for example, characters, figures, or symbols. The announcement unit 13 announces 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] The guidance system 1 also 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, display means for displaying information using characters, figures, or symbols, or speakers for notifying information using voice. Although three guidance units 31 to 33 are shown 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 control of 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 and hall equipment, and entrance / exit 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 announcement 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 using letters, figures, or symbols. The guide display 41 may also be equipped with a speaker for announcing 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 that allows data to be sent and received.

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

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

[0023] <Guidance 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 within 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 that realize this guidance function will be described below.

[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. Furthermore, 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 of 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, location information, and the like corresponding to the destination information, based on the settings made in advance 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 via 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 input.

[0028] The classification unit 22 receives, from the storage unit 21, destination information, the input time stored in association with the destination information, the location information of the guidance terminal 10, and the like. The classification unit 22 dynamically classifies the destination information 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 may be, for example, the entire floor including the destination information, or a plurality of destinations within a predetermined 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 by the classification unit 22 is based on an algorithm constructed through supervised machine learning using static data including the location of each information terminal 10, combined routes from the location of expected areas within the facility to each destination via specific intermediate points, and the distances between them. Specific details of the algorithm's training method will be described later. The specific intermediate points in the static data include elevator locations, elevator capacity, and accessible floor information. This makes it possible to consider the number of passengers allocated to the elevator at the scheduled boarding time and accessible floor information 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 uses the trained model to refer to the following information and classify the destination information into travel routes to a group of destinations. (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 guide terminal 10 within a reference range from the guide terminal 10 used for input within a reference time based on the input time. (e) Attribute information of elevators located on the route to the destination group

[0032] The information (A) and (C) is included in the information input to the storage unit 21 together with the destination information when the destination information is input from the input unit 11 to the storage unit 21. The information (B) and (D) is acquired from the data stored in the storage unit 21. The reference time and reference range are also set appropriately during classification by the classification unit 22. 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 floors that can be accessed. 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 classification results 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, if 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 the 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 pre-stored 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 user's floor search, the identification pattern P generated by the identification code generation 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 guide terminal 10, the guide units 31-33, and the guide 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, the direction of travel, route information on a facility map, the time required for travel, the elevator number to board, etc. The guide terminal 10, the guide units 31-33, and the elevator control device 40 obtain the guidance information to be displayed at the installation locations of the guide units 31-33, etc. from the storage unit 21, convert it into an appropriate display format, and display it. Examples of these displays and notifications will be described using Figures 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, a screen such as that 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 using a facility can start a search for a desired floor by inputting destination information including various search terms, store names, or floor information into the input field 11A.

[0038] When a user performs a floor search, the display unit 12 displays guidance information 12A obtained by processing of the guidance device 20 and the corresponding identification pattern P. The guidance information displayed on the display unit 12 may include the direction of travel from the current location, route information on a map of the facility, and the time required for travel. It is also displayed that the guidance information for the user is indicated by the identification pattern P. In addition to displaying 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 guidance unit 31 is a guide board near elevator hall doors 42. As shown in Fig. 3, near the elevator entrance / exit, an identification pattern P and the elevator car number associated with that identification pattern P are displayed as guidance information 31A.

[0040] The example in Fig. 4 is a case where the guidance unit 32 is a guidance display installed above the landing door 42. As shown in Fig. 4, the guidance unit 32 displays an identification pattern P and information related to the identification pattern P as guidance information 32A. Alternatively, the guidance unit 32 may display only the identification 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 a display 43 as a display unit and an announcement unit 44. Guidance information 44A is announced by voice guidance from announcement unit 44.

[0042] 6, the display 43 has 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 to be commonly notified to all passengers in the car. The guidance section 43B displays the identification pattern P and information related to the identification pattern P as guidance information 43C.

[0043] Fig. 7 is a diagram showing an example of displaying guidance information on 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 projector 33A. Projector 33A displays identification pattern P and guidance information 33B, which is information related to identification pattern P, on floor surface 35 on the movement route. Furthermore, although Fig. 7 shows an example in which floor surface 35 is used as the guidance unit, guidance information may also be displayed on a ceiling, wall surface, etc.

[0044] <Learning> Next, construction of an algorithm by supervised machine learning using 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, location information 101 of a destination, location information 102 of a movement starting point, movement information 103 of other subjects, and operation schedule information 104 of elevators within the facility. The movement information 103 of other subjects is movement information of other subjects during the time period when the movement starts. This movement information may include information on the expected number of other subjects at intersections of facility corridors that can be used to travel from the movement starting point to the destination at the time the subject is likely to arrive at the intersection. Furthermore, the operation schedule information 104 of elevators within the facility is information on all elevators within the facility. The operation schedule information 104 may include information on the allocation status of passengers assigned to elevators that can be used to travel from the movement starting point to the destination group at the time the subject is likely to arrive at the elevator. The dataset includes information on movement routes to the destination group, which becomes output data 110.

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

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

[0047] After arriving at the destination group, the actual travel route and travel time 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 results of the scale rating into the information terminal. Based on the results of the subject's numerical input, the collected data is weighted and used as a reward for the training data. Based on the input data and output data acquired in this way, the 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 on each destination are provided when machine learning is performed, and if this information is updated, the algorithm is reconfigured by performing machine learning again. Examples of when information is updated include when there is a change in the stores within the facility, 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 processing in Fig. 9 is executed every time guidance terminal 10 receives an operation input from a user. To operate this system, it is necessary to set in advance in memory unit 21 destination information within the facility 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 of Fig. 9, first, in step S100, when a user inputs a search term related to destination information from the input unit 11 of the guide terminal 10, the input unit 11 of the guide 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 as distinct from the destination information of other users, the travel routes to the destination groups of other users, and the identification patterns, these 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. If there are multiple candidates, the candidates are presented on the display unit 12, for example, in order of decreasing relevance. If only one candidate is presented, the user makes an input to select or deselect that candidate, and if 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 location 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 on 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 account the time it takes 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 respective guidance units 31 to 33, and the elevator communication unit 34 of the guide terminal 10. In step S106, the memory unit 21 appropriately outputs guidance information for the target movement route related to the identification pattern to the display unit 12, the announcement unit 13, the respective guidance units 31 to 33, and the elevator communication unit 34 of the guide 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 announced 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, it is determined whether the time elapsed since the user selected the target destination information has reached a reference time.

[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, guidance at each guidance unit is terminated. Additionally, in step S112, the classification result used in this 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, this process is temporarily terminated.

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

[0061] Furthermore, because guidance information for that time period is managed in an integrated manner, the routes to the destinations of other users within the facility are optimally distributed, making it possible to avoid congestion on routes to the destinations and on elevators.In addition to displays, the use of voice, symbols, and other identification patterns as guidance methods also makes it 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 results 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 machine learning of the algorithm of the classification unit 22. Furthermore, 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 number of the passenger is associated with the travel route of the classification result. This makes it possible to select an appropriate travel route, and simultaneously select and register the elevator required for that travel.

[0064] In addition, although the present embodiment shows an example in which elevator equipment is installed in the facility, the present invention is not limited to this. For example, the present invention can be applied to cases in which trains, buses, or similar means of transportation operating within the facility, or escalators, travelators (i.e., moving walkways), stairs, etc. are included in the travel route. The present invention can also be used even when these facilities are not available.

[0065] Furthermore, in this embodiment, the user moving within the facility is assumed to be a human, 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 providing 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, which is 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, processing device, arithmetic unit, microprocessor, microcomputer, processor, or DSP) that executes a program stored in memory. When the processing circuit is dedicated hardware, the processing circuit may be, 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 memory. Here, memory refers to, for example, non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, and EEPROM, as well as magnetic disks, flexible disks, optical disks, compact disks, minidisks, DVDs, etc.

[0068] ( It should be noted that each function of the guidance system 1 may be partially implemented by dedicated hardware and partially implemented by software or firmware. In this way, the processing circuit can implement each of the above-described 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 input to the input unit and location 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 travel routes 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 one another; 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; A guidance system comprising: (Appendix 2) The classification unit 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; 10. The guidance system of 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 floors 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 time when the user boards the elevator 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. 1. 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 an elevator control device to dispatch the elevator, and receives dispatch information of the elevator from the elevator control device; The guidance unit notifies the passenger of boarding and alighting guidance to the car of the elevator for each of the travel routes based on the dispatch information received by the elevator communication unit. 10. The guidance system described in Appendix 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 the movement paths from each other; 5. The guidance system of 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 travel routes from among a plurality of pre-stored identification patterns that are not assigned to other travel routes; When the guidance for the one travel route is completed, the allocation of the identification pattern allocated to the one travel route is cancelled. 10. The guidance system described in Appendix 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 a notification means that is disposed in the facility separately from the guidance terminal; 7. The guidance system of any one of claims 1 to 6. (Appendix 8) the classification unit erases the information of the travel route corresponding to one piece of destination information when the reference time has elapsed since the time when the one piece of destination information was input. 8. A guidance system according to any one of appendices 1 to 7, characterized in that: [Explanation of symbols]

[0070] 1 Guidance system, 10 Guidance terminal, 11 Input unit, 11A Input field, 12 Display unit, 12A Guidance information, 13 Announcement unit, 13A Guidance information, 20 Guidance device, 21 Memory unit, 22 Classification unit, 23 Identification code generation unit, 30 Setting unit, 31-33 Guidance unit, 31A, 32A, 33B Guidance information, 33A Projector, 34 Elevator communication unit, 35 Floor, 40 Elevator control device, 41 Guidance display, 42 Landing door, 43 Display, 43A Elevator information display unit, 43B Guidance unit, 43C Guidance information, 44 Announcement unit, 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 and location 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 travel routes 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 one another; 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; A guidance system comprising:

2. The classification unit 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; The guidance system of claim 1 .

3. The specific route includes an elevator; The learning data includes information about the location of the elevator, the capacity of the elevator, and floors 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 time when the user boards the elevator 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 an elevator control device to dispatch the elevator, and receives dispatch information of the elevator from the elevator control device; The guidance unit notifies the passenger of boarding and alighting guidance to the car of the elevator 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 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 pre-stored identification patterns that are not assigned to other travel routes; 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 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 a notification means that is disposed 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 the information of the travel route corresponding to one piece of destination information when the reference time has elapsed since the time when the one piece of destination information was input; 5. The guidance system according to claim 1, wherein the guidance system comprises: a first guide member;

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