Guiding system
By combining the input unit, storage unit, classification unit and identification code generation unit of the guidance system, dynamic grouping and generation of identification patterns are achieved, which solves the problems of stagnation and congestion in mobile paths in large-scale complexes and realizes flexible personalized guidance.
Patent Information
- Application Number
- CN202410736927.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-03-06
- Filing Date
- 2024-06-07
- Publication Date
- 2025-09-09
AI Technical Summary
In large-scale complex facilities, existing technologies make it difficult to flexibly provide optimal movement paths based on the complex conditions within the facilities, leading to problems such as delays and congestion.
Through the input unit, storage unit, classification unit and identification code generation unit of the guidance system, users are dynamically grouped and a unique identification pattern is generated to provide personalized travel route guidance.
It enables flexible guidance to dispersed destinations within a specific time period, optimizes movement paths within the facility, and avoids congestion and delays.
Smart Images

Figure CN120607167A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a guidance system. Background Art
[0002] In large, complex facilities with many shops, users must search for their desired shop from the facility's floor guide and determine which floor to move to. Then, when moving to a floor, they must select the appropriate elevator for that floor, specify the elevator's direction and floor number, and determine the car number to board, all from their current floor. This makes moving to a destination within a large complex a significant effort.
[0003] Regarding user movement within a facility, for example, Patent Document 1 proposes a floor registration device that reads store information using a keyword as a search key and registers an elevator call using the floor where the read store is located as the destination floor of the elevator.
[0004] Prior art literature
[0005] Patent Literature
[0006] Patent Document 1: Japanese Patent Application Laid-Open No. 2004-277019 Summary of the Invention
[0007] Large, complex facilities often have numerous users and multiple available elevators, and destinations and keywords are not necessarily one-to-one. Furthermore, the number of users within the facility fluctuates significantly depending on factors such as the time of day. These circumstances make it difficult to uniquely derive the optimal travel method using simple calculations. Therefore, it is also possible that flexible guidance tailored to each user's situation may not be provided, potentially leading to delays and congestion. In this regard, the floor registration device of Patent Document 1 leaves room for improvement.
[0008] In view of the above problems, the present invention provides an improved guidance system that can flexibly respond to various situations in a facility and more appropriately provide a travel route to a destination requested by each user of the facility.
[0009] The guidance system of the present invention comprises: an input unit that accepts input of information related to the user's destination, namely, destination information; a storage unit that stores the destination information input into the input unit in correspondence with the location information of the destination; a classification unit that classifies each destination information input within a reference time into a movement path 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 movement path in a manner that allows each movement path to be distinguished from each other; and a guidance unit that uses the identification pattern corresponding to each movement path to notify guidance related to the movement path classified by the classification unit for each destination information.
[0010] Effects of the Invention
[0011] By grouping users who are to move to specific destinations dispersed within a facility at a specific time period into travel routes to destination groups and guiding them based on a common recognition pattern, it is possible to appropriately guide them to their destinations. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] Figure 1 This is a block diagram schematically showing the configuration of a guidance system and its peripheral devices according to the first embodiment of the present invention.
[0013] Figure 2 This is a diagram showing an example of a screen displayed on the display of the guidance terminal according to the first embodiment of the present invention.
[0014] Figure 3 This is a diagram showing a display example of guidance information displayed on the guidance unit according to the first embodiment of the present invention.
[0015] Figure 4 This is a diagram showing a display example of guidance information displayed on the guidance unit according to the first embodiment of the present invention.
[0016] Figure 5 This is a diagram showing a display example of guidance information displayed on a guidance indicator in an elevator car according to Embodiment 1 of the present invention.
[0017] Figure 6 This is a diagram showing an example of an enlarged screen of a display screen of a guidance indicator displayed in an elevator car according to Embodiment 1 of the present invention.
[0018] Figure 7 This is a diagram showing a display example of guidance information displayed on the guidance unit according to the first embodiment of the present invention.
[0019] Figure 8 This 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 invention.
[0020] Figure 9 This is a flowchart for explaining the control operation executed by the guidance system according to the first embodiment of the present invention.
[0021] Label Description
[0022] 1: Guidance system; 10: Guidance terminal; 11: Input unit; 11A: Input field; 12: Display unit; 12A: Guidance information; 13: Broadcast unit; 13A: Guidance information; 20: Guidance device; 21: Storage 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: Ground; 40: Elevator control device; 41: Guidance display; 42: Landing door; 43: Display; 43A: Elevator information display unit; 43B: Guidance unit; 43C: Guidance information; 44: Broadcast unit; 44A: Guidance information; 45: Car door; 100: Input data; 101: Position information; 102: Position information; 103: Movement information; 104: Work schedule information; 110: Output data DETAILED DESCRIPTION
[0023] Hereinafter, the embodiment will be described with reference to the accompanying drawings. In the drawings, the same or corresponding parts are denoted by the same reference numerals and their descriptions are simplified or omitted.
[0024] Implementation method 1.
[0025] <System Structure>
[0026] Figure 1 This is a block diagram schematically showing the 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 and information related thereto when the user searches for the desired store using a keyword or the like.
[0027] The guidance system 1 includes a guidance terminal 10 and a guidance device 20. Figure 1 Although only one guidance terminal 10 is shown, the guidance system 1 may include multiple guidance terminals 10. For example, the guidance terminal 10 may be pre-installed on each floor of the facility. Alternatively, a mobile terminal (not shown) such as a smartphone held by the user may function as the guidance terminal 10.
[0028] The guidance terminal 10 includes an input unit 11, a display unit 12, and a broadcast unit 13. The input unit 11 receives user input. The input unit 11 includes, for example, a touch screen display or operation buttons, and receives input such as keywords associated with a user's desired store. Alternatively, the input unit 11 may include a microphone to receive user voice input.
[0029] The display unit 12 displays information to the user. The display unit 12 includes a display for displaying information using characters, graphics, or symbols. The announcement unit 13 notifies the user of information using voice.
[0030] 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.
[0031] Furthermore, 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 pre-learning and setting 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 the guidance terminal 10 may include the functions of the setting unit 30.
[0032] The guide units 31 to 33 are notification units for notifying users of information and are installed at various locations within the facility. The guide units 31 to 33 include, for example, a display unit for displaying information using characters, graphics, or symbols, and a speaker for notifying users of information using voice. Figure 1 In the embodiment, three guide portions 31 to 33 are illustrated, but the number of guide portions 31 to 33 is not limited thereto.
[0033] One or more elevator control devices 40 are provided 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 provided for each elevator. Each elevator control device 40 drives the traction machine required for elevator operation, controls the car and landing equipment, and entrance and exit doors, and monitors sensors and switches installed in the hoistway and around the doors.
[0034] The elevator control device 40 is connected to the guidance indicators 41 within the car. Information notification by each guidance indicator 41 within the car is controlled by the elevator control device 40. Each guidance indicator 41 within the car includes a display for displaying information using characters, graphics, or symbols. Furthermore, the guidance indicator 41 may include a speaker for providing voice notification.
[0035] The guidance terminal 10 and the guidance device 20, more specifically, the input unit 11 and the storage unit 21 of the guidance terminal 10, the storage unit 21 and the display unit 12, the storage unit 21 and the broadcasting unit 13, the identification code generation unit 23 and the display unit 12, and the identification code generation unit 23 and the broadcasting unit 13 are connected in a state capable of sending and receiving data.
[0036] Similarly, the guidance device 20 and the guidance units 31-33, more specifically, the storage unit 21 and the guidance units 31-33, and the identification code generation unit 23 and the guidance units 31-33 are connected via a communication interface in a manner capable of data transmission. Furthermore, the classification unit 22 of the guidance device 20 is connected to the elevator communication unit 34 in a manner capable of data transmission and reception. Furthermore, the elevator communication unit 34 and the elevator control device 40, as well as the elevator control device 40 and the guidance display 41 in the car, are connected in a manner capable of data transmission and reception.
[0037] The connection between the guidance terminal 10 and the guidance device 20, the connection between the guidance device 20 and the guidance units 31 to 33, the connection between the guidance device 20 and the elevator communication unit 34, the connection between the elevator communication unit 34 and the elevator control device 40, and the connection between the elevator control device 40 and the guidance display 41 in the car can be either wired or wireless. In the case of wireless, each connection is connected via a Wi-Fi network via a Wi-Fi wireless access point installed in the facility or via the Internet and mobile phone network via an Internet gateway.
[0038] <Function of booting system>
[0039] The guidance system 1 of this first embodiment specifically has the following guidance function: it dynamically groups users who will travel to specific destinations dispersed throughout a facility within a specific time period and provides guidance using a common recognition pattern for each grouped travel path. The functions of the various components of the guidance system 1 described above that implement this guidance function will now be described.
[0040] The setting unit 30 sets the storage unit 21 by pre-learning the destination information. The destination information may include various search terms such as keywords associated with each destination, store names, and location information of each destination. Furthermore, the location information may include information such as the destination floor and the location within the destination floor.
[0041] When a user of a facility operates the input unit 11 to input destination information such as various search terms or store names, the input unit 11 receives the operation input of the destination information and transmits the information to the storage unit 21 .
[0042] The storage unit 21 of the guidance device 20 associates and stores destination information with various search terms, store names, and location information corresponding to the destination information, as pre-set by the setting unit 30. The information stored in the storage unit 21 may also be in the form of an on-premises database environment that sets and learns keywords based on the destination information received from the input unit 11 or the setting unit 30. Alternatively, the storage unit 21 may collaborate with an internet search service, such as a cloud environment. This allows the user to convert various natural language inputs from the input unit 11 into the desired destination information.
[0043] Furthermore, the storage unit 21 stores the destination information input by the user from the input unit 11 in association with the input time, identification information or position information of the guidance terminal 10 used for the input, and the like.
[0044] The storage unit 21 inputs the destination information, the input time associated with the destination information, the location information of the guidance terminal 10, and the like into the classification unit 22. The classification unit 22 uses the learned model to dynamically classify the travel routes to the destination groups and outputs the classification results as travel routes to the destination groups associated with each piece of destination information.
[0045] Here, the destination group is, for example, the entire floor including the destination information or a plurality of destinations within a range determined on the same floor including the destination information. The destination group is appropriately set by the classification unit 22 when classifying the destination information.
[0046] The learned model used in the classification unit 22 is based on an algorithm constructed by supervised machine learning based on static data, wherein the static data includes the location of each guidance terminal 10, and a combined path from the assumed area location within the facility via a specific via point to each destination, as well as their distances. The specific content of the algorithm's learning method will be described later. The specific via point in the static data includes information about the location of the elevator, the rated number of people in the elevator, and the floors on which movement is possible. As a result, when using the algorithm to classify the movement paths to the destination group, the number of people assigned to the elevator at the scheduled time of the elevator ride and the information about the floors on which movement is possible can be considered as one of the classification attributes.
[0047] Specifically, when destination information is input from the input unit 11 , the classification unit 22 refers to the following information in the learned model and classifies the destination information into travel routes to the destination group.
[0048] (1) Location of the guidance terminal 10 used for inputting destination information
[0049] (2) Establishing corresponding location information with destination information
[0050] (3) The time when the user inputs the destination information from the input unit 11
[0051] (iv) Destination information input from a guidance terminal 10 located within a reference range from the guidance terminal 10 used for input within a reference time based on the input time.
[0052] (5) Attribute information of elevators located on the moving path to the destination group
[0053] The information of (1) and (3) is included in the information input into the storage unit 21 together with the destination information when the destination information is input into the storage unit 21 from the input unit 11. The information of (2) and (4) is obtained from the data stored in the storage unit 21. In addition, the reference time and the reference range are also appropriately set during the classification by the classification unit 22. However, the reference time and the reference range can also be set in advance. The attribute information of the elevator (5) can include, for example, the rated number of people of each elevator, the number of people riding in the elevator during the utilization time period, and information on floors that can be moved. This information is obtained by the elevator communication unit 34 from the elevator control device 40 and obtained via the elevator communication unit 34.
[0054] The classification unit 22 adds identification information to the travel routes to the destination group into which the destination information is 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 group corresponding to the destination information in association with the identification information.
[0055] Furthermore, if an elevator is included on the travel path to the destination group as determined by the classification unit 22, the classification unit 22 outputs a dispatch instruction for the elevator to the elevator communication unit 34. Upon receiving the dispatch instruction from the elevator communication unit 34, the elevator control device 40 for the elevator in question controls the operation of the elevator. Furthermore, the elevator control device 40 outputs information such as dispatch information for each elevator to the elevator communication unit 34.
[0056] The identification code generation unit 23 generates an identification pattern that uniquely distinguishes the movement path to the destination group classified by the classification unit 22 from other movement paths. Specifically, for example, an identification pattern such as color, symbol, character string, voice, and vibration is selected from the pattern data set and associated with the identification information of the movement path for assignment. The pattern data set is pre-stored in the storage unit 21. In addition, when an identification pattern is assigned to a movement path to a destination group, the storage unit 21 stores the information that the identification pattern is being assigned together with the pattern data set. For an assigned identification pattern, it is prohibited to assign it to another movement path until its assignment is released.
[0057] As a result of the floor search performed by the user, the identification pattern P generated by the identification code generation unit 23 and the guidance information for guiding the moving path of the identification information corresponding to the identification pattern P are displayed on the guidance terminal 10 and the guidance units 31 to 33, the guidance display 41 in the car, or notified by voice. The guidance information for guiding the moving path may include information such as the direction of movement, path information on the map within the facility, the time required for movement, and the elevator number to be taken. The guidance terminal 10, the guidance units 31 to 33, and the elevator control device 40 obtain the guidance information to be displayed at the installation location of the guidance units 31 to 33, etc. from the storage unit 21, and convert it into an appropriate display form for display. Figures 2 to 6 These display examples and notification examples are described.
[0058] Figure 2 1 is a diagram showing an example of a screen displayed on a display of a guidance terminal. When a user searches for a floor, the guidance terminal 10 displays, for example, Figure 2 The screen shown. The portion of the display screen of the guidance terminal 10 serving as the input unit 11 displays, for example, an input field 11A for user input. A user using a facility can begin searching for a target floor by entering destination information, including various search terms, store names, or floor information, into input field 11A.
[0059] When a user searches for a floor, guidance information 12A and the corresponding recognition pattern P, obtained through processing by the guidance device 20, are displayed on the display unit 12. The guidance information displayed on the display unit 12 may include the direction of travel from the current location, route information on a facility map, and travel time. Furthermore, the guidance information for the user is displayed using the recognition pattern P. Furthermore, along with the displayed guidance information, guidance information 13A is provided by voice output from the announcement unit 13.
[0060] Figure 3 and Figure 4 It is a diagram showing a display example of guidance information in the guidance unit. Figure 3 The example is an example of a case where the guide portion 31 is a guide plate near the elevator landing door 42. Figure 3 As shown, near the elevator entrance, an identification pattern P and an elevator car associated with the identification pattern P are displayed as guidance information 31A.
[0061] Figure 4 The example is an example of a case where the guide unit 32 is a guide display provided on the upper portion of the landing door 42. Figure 4As shown in FIG, 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.
[0062] Figure 5 This is a diagram showing an example of a guidance display in an elevator car. Figure 6 This is an enlarged view of an example of a screen of a guide display in an elevator car. Figure 5 As shown, the guidance indicator 41 is provided near the car door 45. The guidance indicator 41 includes an announcement unit 44 and a display unit 43. The announcement unit 44 notifies guidance information 44A by voice guidance.
[0063] like Figure 6 As shown, the display 43 is provided with an elevator information display unit 43A and a guidance unit 43B. The elevator information display unit 43A displays elevator operation information and other information as common information for all passengers in the car. In addition, the guidance unit 43B displays the identification pattern P and information related to the identification pattern P as guidance information 43C.
[0064] Figure 7 It is a diagram showing a display example of guidance information in the guidance unit. Figure 7 The example of FIG is an example of a guide portion 33 that displays a guide on the ground of a path. Figure 7 As shown in FIG. 3 , the guide unit 33 includes a projector 33A. The projector 33A displays the recognition pattern P and guidance information 33B as information associated with the recognition pattern P on the ground 35 on the moving path. Figure 7 3 shows an example in which the floor 35 is used as the guide portion, but guidance information may be displayed on a ceiling, a wall, or the like, for example.
[0065] <Learning>
[0066] Next, the construction of an algorithm based on supervised machine learning performed by the classification unit 22 will be described. Figure 8This figure shows an example of a dataset used in supervised machine learning. This dataset includes, as input data 100, destination location information 101, travel start point location information 102, other subject movement information 103, and facility elevator operation schedule information 104. Other subject movement information 103 is information about other subjects' movements during the time period when the movement begins. This movement information may include information about the expected number of other subjects at an intersection of facility passageways usable from the travel start point to the destination, at the time the subject can reach that intersection. Furthermore, facility elevator operation schedule information 104 is information related to all elevators within the facility. This operation schedule information 104 may include information about the allocation of passengers assigned to an elevator usable from the travel start point to the destination group, at the time the subject can reach that elevator. The dataset includes, as output data 110, information about the movement path to the destination group.
[0067] For example, a dataset is created by collecting the movement paths of subjects within a facility from their starting point to their destination group. The subjects are, for example, facility users. To collect movement paths, the subjects are instructed to wear or hold an information device capable of recording movement paths using a location information acquisition device such as GPS.
[0068] The subject determines the starting point of their travel route, sets their destination group, and then selects the optimal travel route to that destination group. As an aid, the information terminal provides real-time monitoring of congestion in corridors and elevators along their travel route based on the location information of other subjects within the facility. This encourages the subject to select the optimal travel route to their destination group.
[0069] After arriving at the destination group, the actual travel route and travel time are collected from the information terminal. Furthermore, the subject rates their travel comfort, including congestion and ease of travel. The subject inputs the resulting numerical value into the information terminal. The collected data is weighted based on the subject's numerical input, and this is used as the learning data reward. Based on the input and output data obtained in this manner, the algorithm for the learned model used by the classification unit 22 is constructed.
[0070] The location of each guidance terminal 10, the assumed area map information, and the destination information are generated during machine learning. If this information is updated, the algorithm is rebuilt by performing machine learning again. Information updates include, for example, changes to stores within the facility, the addition of a guidance terminal 10, or changes in the location of a guidance terminal 10.
[0071] <Action>
[0072] Figure 9 This is a flowchart for explaining the control operation executed by the guidance system according to the first embodiment. Figure 9 This processing is executed each time the guidance terminal 10 receives an operation input from the user. To operate this system, the settings unit must pre-set the destination information within the facility and the search term data associated with that destination information in the storage unit 21. Furthermore, the algorithm of the classification unit 22 must be constructed to correspond to the contents of the storage unit 21. The following steps assume these initial settings have been made.
[0073] exist Figure 9 In the control process, first, in step S100, when a user inputs a search term associated with destination information through the input unit 11 of the guidance terminal 10, the input unit 11 of the guidance terminal 10 detects the user's input of the search term associated with the destination information. In the following process, when it is necessary to distinguish the destination information input by any user, the travel route into which the destination information is classified, and the identification pattern corresponding to the travel route from the destination information of other users, the travel routes to the destination group of other users, and the identification patterns thereof, these are specifically referred to as "target destination information," "target travel routes," and "target identification patterns."
[0074] Next, in step S101, candidates associated with 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 to the display unit 12 in descending order of relevance, for example. If only one candidate is presented, the user inputs whether to select or not select that candidate. If multiple candidates are presented, the user inputs a selection of one of the candidates. The input unit 11 receives the user's input of a candidate selection. Information such as the target destination information and the location information of the guidance terminal 10 that was input is input into the storage unit 21.
[0075] Next, in step S102, the classification unit 22 classifies the target destination information into travel routes to the destination group based on the selected destination information, etc. After 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 is included in the target travel route, the classification unit 22 outputs an elevator dispatch instruction to the elevator communication unit 34.
[0076] Next, in step S103, the identification code generator 23 converts the classification result of the classifier 22 into an identification pattern. In step S104, the elevator communication unit 34, having received the elevator dispatch instruction, issues a dispatch instruction to the elevator control device 40 of the elevator included in the target travel path. This causes the elevator of the target elevator to begin operating. However, if, for example, the user's starting position is far from the elevator of the target elevator, the dispatch instruction is executed taking into account the time it takes the user to arrive at the elevator landing of the target elevator. The operation of elevators is well known, so a detailed explanation is omitted.
[0077] In step S105, the identification code generator 23 appropriately outputs the object recognition pattern to the display unit 12, the announcement unit 13, the guidance units 31-33, and the elevator communication unit 34 of the guidance terminal 10. In step S106, the storage unit 21 appropriately outputs guidance information on the object's movement path related to the recognition pattern to the display unit 12, the announcement unit 13, the guidance units 31-33, and the elevator communication unit 34 of the guidance terminal 10.
[0078] In step 107 , the display unit 12 or the broadcast unit 13 notifies the user of the object recognition pattern received from the recognition code generation unit 23 and guidance information associated with the object recognition pattern.
[0079] Then, in step S108 , the object recognition pattern and the associated guidance information are notified to the user from the respective guide units 31 , 32 , and 33 on the object movement path.
[0080] Furthermore, in step S109, the target recognition pattern and the associated guidance information are notified from the guidance indicator 41 in the car of the target elevator according to the operating status of the elevator control device.
[0081] Next, in step S110 , it is determined whether the time elapsed from the time when the user selected the target destination information has reached the reference time.
[0082] If it is determined in step S110 that the set time has not yet 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, guidance by each guidance unit is terminated in step S111. Accordingly, in step S112, the classification results used for this guidance are deleted from storage unit 21, and the assignment of the object recognition mode by identification code generator 23 is canceled. This process then temporarily ends.
[0083] As described above, according to the guidance system of this embodiment, users within a facility can use the guidance terminal 10 to search for a target store, etc., and then, based on the comprehensive guidance information, determine the travel route to the destination group within the facility during that time period, the elevator to take, and the floor to exit. This relieves users from the task of searching for a travel route to the destination group and calling the elevator to take.
[0084] Furthermore, since guidance information for that time period is comprehensively managed, the paths of other users within the facility to their destination groups are optimized and dispersed, reducing congestion on their paths to their destination groups and in the elevators. Furthermore, guidance methods utilize recognition modes such as voice and symbols in addition to displays, enabling appropriate guidance even for users other than the able-bodied.
[0085] Furthermore, in this embodiment, the classification unit 22 performs classification based on an algorithm that has been previously machine-learned. However, this is not limiting. Alternatively, the classification unit 22 may perform additional learning of information such as each user's location within the facility, their destination, and the number of elevator passengers during the time period in which their destination information was input, by expanding the learned algorithm to optimize the classification results.
[0086] Furthermore, in this embodiment, the learning data used for machine learning in the classifier 22 algorithm includes information such as the location of the elevator as route information. Furthermore, when performing classification, the classifier 22 considers information such as the number of people assigned to the elevator and the floors available for travel as one of the classification attributes, and associates the elevator's boarding number with the resulting travel path. This allows for the selection of an appropriate travel path, while also enabling the selection of the elevator required for the travel and the registration of an elevator call.
[0087] Furthermore, this embodiment illustrates an example in which an elevator system is installed within a facility, but the present invention is not limited thereto. For example, the present invention can also be applied to situations where a railway, bus, or similar moving equipment, escalators, moving walkways (i.e., moving sidewalks), or stairs operating within the facility are included in the movement path. Furthermore, the present invention can be flexibly used even in the absence of such equipment.
[0088] Furthermore, while this embodiment assumes that the users moving within the facility are humans, the present invention is not limited to this. For example, guidance information can also be used to smoothly guide autonomous robots moving within the facility. In this case, guidance information can be directly sent to the robot, rather than notifying it of guidance information corresponding to its movement path.
[0089] Furthermore, each function of the guidance system 1 implemented by the components described in this specification is implemented by a processing circuit. The processing circuit can be dedicated hardware, or it can be a CPU (Central Processing Unit), a central processing unit, a processing device, an arithmetic unit, a microprocessor, a microcomputer, a processor, or a DSP that executes a program stored in a memory. When the processing circuit is dedicated hardware, it can be, for example, a single circuit, a complex circuit, a programmable processor, a parallel programmable processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof. Each function of the guidance system 1 can be implemented separately by the processing circuit, or the functions of each component can be implemented collectively by the processing circuit.
[0090] When the processing circuit is a CPU, each function of the boot system 1 is implemented by software, firmware, or a combination of software and firmware. Software and firmware are described as programs and stored in a memory. The processing circuit implements the functions of each part by reading and executing the programs stored in the memory. Here, the memory is, for example, non-volatile or volatile semiconductor memory such as RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), EEPROM (Electrically Erasable Programmable Read Only Memory), magnetic disks, floppy disks, optical disks, CDs (Compact Disks), minidiscs, DVDs (Digital Versatile Disks), etc.
[0091] In addition, each function of the boot system 1 may be partially implemented by dedicated hardware and partially implemented by software or firmware. In this way, the processing circuit can implement the above functions by hardware, software, firmware, or a combination thereof.
[0092] Hereinafter, various aspects of the present invention will be described in general as supplementary notes.
[0093] (Note 1)
[0094] A guidance system, wherein the guidance system comprises:
[0095] an input unit for accepting input of destination information, which is information related to a user's destination;
[0096] a storage unit for storing the destination information inputted into the input unit in association with the location information of the destination;
[0097] a classification unit that classifies each of the destination information input within a reference time into a movement path for each destination group based on the position information stored in the storage unit;
[0098] an identification code generating unit for generating identification patterns corresponding to the respective movement paths so as to enable the movement paths to be distinguished from each other; and
[0099] A guidance unit notifies guidance regarding the movement routes classified by the classification unit for each piece of destination information using the recognition patterns corresponding to the respective movement routes.
[0100] (Note 2)
[0101] The guidance system according to Supplementary Note 1, wherein:
[0102] The classification unit uses an algorithm constructed through supervised machine learning based on learning data to classify each of the destination information input from multiple input units located within the reference range within the reference time into the movement path of each destination group, wherein the learning data at least includes a combined path from the position of the input unit via a specific stopover to the destination and the distance of the path.
[0103] (Note 3)
[0104] The guidance system according to Supplementary Note 2, wherein:
[0105] The specific transit point includes an elevator,
[0106] The learning data includes information on the location of the elevator, the rated number of people in the elevator, and the floors that can be moved by the elevator.
[0107] When the classification unit classifies the destination information into the travel routes for each destination group using the algorithm, the classification unit uses information on the estimated number of people that can be assigned to the elevator and the floors that can be moved by the elevator at the scheduled boarding time of the user who plans to board the elevator as one of the classification attributes.
[0108] The classifying unit outputs the elevator car information as a classification result in association with the information on the movement path.
[0109] (Note 4)
[0110] The guidance system according to Supplementary Note 3, wherein:
[0111] The guidance system includes an elevator communication unit that, when the movement path of each destination group classified by the classification unit includes an elevator, transmits an instruction to dispatch the elevator to the elevator control device and receives dispatch information of the elevator from the elevator control device.
[0112] The guidance unit notifies boarding and alighting guidance of the elevator car for each boarding number on the movement path based on the dispatch information received by the elevator communication unit.
[0113] (Note 5)
[0114] The guidance system according to any one of Supplementary Notes 1 to 4, wherein:
[0115] The recognition pattern is at least one of a color, a symbol, a character string, a voice, and a vibration that can distinguish the movement paths from each other.
[0116] (Note 6)
[0117] The guidance system according to Supplementary Note 5, wherein:
[0118] The identification code generating unit determines the identification pattern to be assigned to one movement path from among a plurality of identification patterns stored in advance and not assigned to other movement paths,
[0119] When the guidance of the one movement route is completed, the identification pattern assigned to the one movement route is released.
[0120] (Note 7)
[0121] The guidance system according to any one of Supplementary Notes 1 to 6, wherein:
[0122] The guidance unit includes at least one of a display unit, a broadcasting unit, and a communication interface, wherein the display unit is configured on the guidance terminal including the input unit and displays information, the broadcasting unit is configured on the guidance terminal and notifies information by voice, and the communication interface transmits information to a notification unit that is set in the facility separately from the guidance terminal.
[0123] (Note 8)
[0124] The guidance system according to any one of Supplementary Notes 1 to 7, wherein:
[0125] The classification unit deletes the information on the travel route corresponding to one piece of destination information when the reference time has elapsed since a time when one piece of destination information is input.
Claims
1. A guidance system, wherein: The guidance system comprises: an input unit for accepting input of destination information, which is information related to a user's destination; a storage unit for storing the destination information inputted into the input unit in association with the location information of the destination; a classification unit that classifies each of the destination information input within a reference time into a movement path for each destination group based on the position information stored in the storage unit; an identification code generating unit for generating identification patterns corresponding to the respective movement paths in a manner that enables the movement paths to be distinguished from each other; as well as A guidance unit notifies guidance regarding the movement routes classified by the classification unit for each piece of destination information using the recognition patterns corresponding to the respective movement routes.
2. The guidance system according to claim 1, wherein: The classification unit uses an algorithm constructed through supervised machine learning based on learning data to classify each of the destination information input from multiple input units located within the reference range within the reference time into the movement path of each destination group, wherein the learning data at least includes a combined path from the position of the input unit via a specific stopover to the destination and the distance of the path.
3. The guidance system according to claim 2, wherein: The specific transit point includes an elevator, The learning data includes information on the location of the elevator, the rated number of people in the elevator, and the floors that can be moved by the elevator. When the classification unit classifies the destination information into the travel routes for each destination group using the algorithm, the classification unit uses information on the estimated number of people that can be assigned to the elevator and the floors that can be moved by the elevator at the scheduled boarding time of the user who plans to board the elevator as one of the classification attributes. The classifying unit outputs the elevator car information as a classification result in association with the information on the movement path.
4. The guidance system according to claim 3, wherein: The guidance system includes an elevator communication unit that, when the movement path of each destination group classified by the classification unit includes an elevator, transmits an instruction to dispatch the elevator to the elevator control device and receives dispatch information of the elevator from the elevator control device. The guidance unit notifies boarding and alighting guidance of the elevator car for each boarding number on the movement path based on the dispatch information received by the elevator communication unit.
5. The guidance system according to any one of claims 1 to 4, wherein: The recognition pattern is at least one of a color, a symbol, a character string, a voice, and a vibration that can distinguish the movement paths from each other.
6. The guidance system according to claim 5, wherein: The identification code generating unit determines the identification pattern to be assigned to one movement path from among a plurality of identification patterns stored in advance and not assigned to other movement paths, When the guidance of the one movement route is completed, the identification pattern assigned to the one movement route is released.
7. The guidance system according to any one of claims 1 to 4, wherein: The guidance unit includes at least one of a display unit, a broadcasting unit, and a communication interface, wherein the display unit is configured on the guidance terminal including the input unit and displays information, the broadcasting unit is configured on the guidance terminal and notifies information by voice, and the communication interface transmits information to a notification unit that is set in the facility separately from the guidance terminal.
8. The guidance system according to any one of claims 1 to 4, wherein: The classification unit deletes the information on the travel route corresponding to one piece of destination information when the reference time has elapsed since a time when one piece of destination information is input.
Citation Information
Patent Citations
Floor registering device
JP2004277019A