Elevator operation visualization system and elevator operation visualization method

Abstract

To improve convenience for users who live or stay in any of a plurality of rooms in a building having a plurality of floors, each of which has a plurality of rooms for living or staying.SOLUTION: A system acquires data on elevator operation, identifies a boarding floor where a user resides or is staying, identifies a use time zone of the elevator, calculates operation indices for each time interval during the use time zone, and provides the user with information based on the calculated operation indices.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates generally to techniques for visualization of elevator operations. [Background technology]

[0002] Known technology for visualizing elevator operation is disclosed in, for example, Patent Document 1. The system disclosed in Patent Document 1 encourages users to use the elevator during times when the number of users is below a threshold. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2016-160079 Summary of the Invention [Problem to be solved by the invention]

[0004] Apartment building residents often use elevators from their residential floors to the lobby floor, then exit the building and travel to their destinations by the desired arrival time. However, if the time it takes from arriving at the elevator on their residential floor to arriving at the lobby floor exceeds the user's expectations, it can become difficult to travel to their destinations by the desired arrival time.

[0005] Such a problem is not limited to apartment buildings, but can also occur in other buildings having multiple floors, each of which has multiple rooms for living or staying, such as hotels. [Means for solving the problem]

[0006] The system acquires data on elevator operation, identifies the boarding floor where the user resides or is staying, identifies the time period during which the elevator will be used, calculates operation indices for each time interval during the time period, and provides the user with information based on the calculated operation indices. [Effects of the Invention]

[0007] According to the present invention, the convenience of users who live or stay in any of a plurality of rooms in a building having multiple floors, each of which has multiple rooms for living or staying, is improved. [Brief explanation of the drawings]

[0008] [Figure 1] 1 illustrates an example of a functional configuration of an elevator operation visualization system according to an embodiment. [Figure 2] Examples of the floor where the user boards and floors other than the boarding floor are shown below. [Figure 3] An example of the data structure in the operation DB is shown below. [Figure 4] An example of the data structure in the setting DB is shown below. [Figure 5] 10 shows an example of the data structure in an index DB. [Figure 6] An example of visualization of operational indicators is shown below. [Figure 7] 10 shows an example of the flow of processing performed by the elevator operation visualization system. [Figure 8] 10 shows an example of a flow of calculation of a required time index. [Figure 9] 10 shows an example of a flow of calculating a congestion index. [Figure 10] An example of the flow of determining whether a train is deemed full will be shown below. [Figure 11] An example of a specific flow of boarding floors is shown. [Figure 12] 10 shows an example of the configuration of data related to index priority among the data in the setting DB. [Figure 13] An example of the flow of determining the indices to be displayed is shown below. DETAILED DESCRIPTION OF THE INVENTION

[0009] In the following description, an "interface apparatus" may refer to one or more interface devices, which may be at least one of the following: An I / O interface device is one or more I / O (Input / Output) interface devices. The I / O (Input / Output) interface devices are interface devices for at least one of an I / O device and a remote display computer. The I / O interface device for the display computer may be a communications interface device. The at least one I / O device may be a user interface device, for example, either an input device such as a keyboard and a pointing device, or an output device such as a display device. A communication interface apparatus that is one or more communication interface devices. The one or more communication interface devices may be one or more homogeneous communication interface devices (e.g., one or more NICs (Network Interface Cards)) or two or more heterogeneous communication interface devices (e.g., an NIC and an HBA (Host Bus Adapter)).

[0010] In the following description, "memory" refers to one or more memory devices, which are an example of one or more storage devices, and may typically be a primary storage device. At least one memory device in the memory may be a volatile memory device or a non-volatile memory device.

[0011] In the following description, a "persistent storage device" may refer to one or more persistent storage devices, which are an example of one or more storage devices. A persistent storage device may typically be a non-volatile storage device (e.g., an auxiliary storage device), and specifically may be, for example, a hard disk drive (HDD), a solid state drive (SSD), a non-volatile memory express (NVME) drive, or a storage class memory (SCM).

[0012] Also, in the following description, "storage device" may be at least one of memory and persistent storage device.

[0013] Furthermore, in the following description, a "processor" may refer to one or more processor devices. The at least one processor device may typically be a microprocessor device such as a CPU (Central Processing Unit), but may also be another type of processor device such as a GPU (Graphics Processing Unit). The at least one processor device may be a single-core or multi-core. The at least one processor device may also be a processor core. The at least one processor device may also be a processor device in a broader sense, such as a circuit that is a collection of gate arrays written in a hardware description language that performs some or all of the processing (for example, an FPGA (Field-Programmable Gate Array), a CPLD (Complex Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit)).

[0014] In the following description, functions are sometimes described using the expression "yyy unit." However, the functions may be realized by one or more computer programs executed by a processor, by one or more hardware circuits (e.g., FPGAs or ASICs), or by a combination thereof. When a function is realized by a program executed by a processor, the specified processing is performed using a storage device and / or an interface device, etc., as appropriate, and therefore the function may be considered to be at least a part of the processor. Processing described using a function as the subject may be processing performed by a processor or a device having the processor. A program may be installed from a program source. The program source may be, for example, a program distribution computer or a computer-readable storage medium (e.g., a non-transitory storage medium). The description of each function is merely an example; multiple functions may be combined into one function, or one function may be divided into multiple functions.

[0015] In the following description, data that produces an output in response to an input may be described using expressions such as "xxxDB." However, this data may have any structure (for example, structured data or unstructured data), or may be a neural network that generates an output in response to an input, or a learning model such as a genetic algorithm or random forest. Therefore, "xxxDB" can be referred to as "xxx data." In the following description, the configuration of each DB is an example, and one DB may be divided into two or more DBs, or all or part of two or more DBs may be one DB.

[0016] In the following description, when elements of the same type are described without distinction, common reference symbols are used, and when elements of the same type are described with distinction, reference symbols are used.

[0017] An embodiment will now be described with reference to the drawings. In the following embodiment, the building having multiple floors, each of which has multiple rooms for living or staying, is an apartment building or a hotel.

[0018] 1 shows an example of the configuration of an elevator operation visualization system according to an embodiment. Note that "DB" stands for database.

[0019] The elevator operation visualization system 100 is a physical computer system, but is not limited to this and may also be a logical computer system based on a physical computer system (for example, a system in a cloud environment). The elevator operation visualization system 100 has an interface device 51, a storage device 52, and a processor 53 connected to the devices 51 and 52.

[0020] Communication is performed via the interface device 51. Specifically, for example, an elevator group control system 110, a hall terminal 121, an in-car terminal 122, a user terminal 123, and a room terminal 124 are communicably connected to the interface device 51 via, for example, a secure communication network 60 (an example of a communication network). The elevator operation visualization system 100 may be located inside or outside the building, and the communication network 60 may also be located inside or outside the building.

[0021] The elevator group control system 110 manages multiple elevators 111-1 to 111-M in a building. The elevator group control system 110 transmits elevator operation data for each of the elevators 111-1 to 111-M to the elevator operation visualization system 100 at each time. For each elevator 111, the elevator operation data includes data representing the operation of the elevator 111, and is transmitted to the elevator operation visualization system 100 periodically or irregularly. Note that the present invention can also be applied to a building with only one elevator 111 installed. All or part of the functions of the elevator group control system 110 may be provided in the elevator operation visualization system 100, or the elevator group control system 110 may not be required. Furthermore, the elevator group control system 110 may be communicatively connected to the elevator operation visualization system 100 without the communication network 60.

[0022] The hall terminal 121 is an information processing terminal (for example, a laptop or tablet personal computer) installed at the hall. The car terminal 122 is an information processing terminal installed in the elevator car. The user terminal 123 is a mobile information processing terminal (typically a smartphone) of the user. The room terminal 124 is an information processing terminal installed in a room in a building where the user lives or stays. In the example shown in FIG. 1, the communication performed by each of the hall terminal 121 and the car terminal 122 may be wired communication, and the communication performed by each of the user terminal 123 and the room terminal 124 may be wireless communication. Of the terminals 121 to 124, terminals 121, 122, and 124 may be unnecessary, and any of terminals 121, 122, and 124 may be used by the user instead of user terminal 123.

[0023] The storage device 52 stores data and programs. The data stored in the storage device 52 includes, for example, a building DB 131, an operation DB 132, a setting DB 133, an index DB 134, and a visualization history DB 135.

[0024] The building DB 131 has data related to the building, and the data may include, for example, data indicating how many rooms are on which floor and the number of people (for example, the standard number of people) that can live or stay in each room.

[0025] The operation DB132 contains data regarding the operation of each elevator 111, and for example, the data may include a time series of data representing, for each elevator 111, the date and time, the position of the car, the direction of travel, and the number of passengers (e.g., an estimated value from the load weight).

[0026] The setting DB133 has set data, and the data may include, for example, data representing, for each user, the user's boarding floor, a target date on which visualization of elevator operation is required for the user, a usage time slot which is a time slot on the target date on which visualization is required, a time interval for each of one or more time slots constituting the usage time slot, and indicator items for which it is desired to display operation indicators related to the elevator. In this embodiment, for each user, the "boarding floor" is the floor on which the user has a room where he or she lives or stays (i.e., the residence floor or stay floor).

[0027] The index DB 134 has data representing indexes, and for example, the data may include data representing operation indexes calculated for each of a plurality of (or one) index items for each floor. Details of the "operation index" will be described later.

[0028] The visualization history DB 135 contains data representing the history of operation visualization. For example, this data may include, for each user, data representing the displayed operation indicators and the date and time when the display was performed. When operation visualization is performed (for example, when the UI (User Interface) shown in FIG. 6 is provided to the user), the visualization history DB 135 may be updated. For example, the UI unit 144 may refer to the visualization history DB 135, preferentially select the same conditions as the conditions of the visualization previously viewed by the user, and perform visualization according to the selected conditions. This is expected to improve user convenience. For example, if visualization was performed for a certain user at 7:30 in the morning under the condition of average required time, the next time visualization for that user may be performed under those conditions.

[0029] When the processor 53 executes the program in the storage device 52, functions such as an acquisition unit 141, an identification unit 142, a calculation unit 143, a UI unit 144, and a determination unit 145 are realized.

[0030] The acquisition unit 141 acquires elevator operation data of each elevator 111.

[0031] The identification unit 142 identifies, for each user, the floor on which the user will board, the target day on which the elevator will be used, and the time period during which the elevator will be used, based on the setting DB 133 or other information.

[0032] The determination unit 145 determines, for each user, the time interval width for each of one or more time periods that make up the usage time period.

[0033] The calculation unit 143 calculates the operation index for each of the multiple (or one) index items for the boarding floor, and stores the calculated operation index in the index DB 134.

[0034] The UI unit 144 accepts input of information from at least one of the terminals 121-124 and outputs information to at least one of the terminals 121-124. For example, examples of the accepted information may be information representing at least one of the target date, the usage time period, and items for which elevator operation indicators are desired to be displayed. Furthermore, examples of the output information include information representing calculated operation indicators. Specifically, for example, the UI unit 144 provides the user terminal 123 or the room terminal 124 with a UI that visualizes operation during the usage time period based on one or more operation indicators.

[0035] FIG. 2 shows an example of a floor where a user boards and floors other than the boarding floor.

[0036] As shown in Figure 2, the boarding floor is the base point. If there are one or more floors above the boarding floor, each of those one or more floors is an upper floor. If there are one or more floors below the boarding floor, each of those one or more floors is a lower floor. The boarding floor differs depending on which floor the user lives or stays in, so each floor will be considered a boarding floor, an upper floor, or a lower floor depending on the user's boarding floor.

[0037] Furthermore, the calculation unit 143 can calculate the operation index for both movement in the direction of movement from the lobby floor to the boarding floor (typically an upward direction) and movement in the direction of movement from the boarding floor to the lobby floor (typically an upward direction), but in this embodiment, the operation index is calculated for movement in the direction of movement from the boarding floor to the lobby floor. There may be only one operation index that can be calculated and displayed, but in this embodiment, there are multiple operation indexes, for example, the following operation indexes. At least one of the following operation indexes (A) to (F) may be adopted as the calculation target or display target. (A) Average travel time index, which is an index of the average time required to travel in an elevator from the boarding floor to the lobby floor (an index of the sum of the waiting time at the boarding floor's landing and the riding time in the elevator). (B) Crowding index, which is an indicator of the degree of congestion of the car when the car arrives at the boarding floor. (C) Average waiting time index, which is an indicator of the average waiting time at the boarding floor. (D) A ride time index, which is an index of the ride time (e.g., average ride time) from the boarding floor to the lobby floor. (E) Ride-sharing index, which is an indicator of the likelihood of sharing a car with others. (F) A deemed fullness index, which is an indicator of the number of occurrences of deemed fullness in the target building or boarding floor.

[0038] The presence of upper floors affects, for example, (A) to (C) and (E). The presence of lower floors affects, for example, (A), (D) and (E). Regarding the assumed fullness index (F), "assumed fullness" refers to an event in which an elevator car is not full, but passengers consider it full and decide not to board. This results in unnecessary stops in terms of elevator operation (for example, a loss of 20 to 60 seconds). For this reason, the assumed fullness index, which is the number of times this event occurs, is defined as an indicator of operational efficiency.

[0039] The operation index (A) may be calculated based on at least one of the following (a1) to (a3): Any of (a1) to (a3) ​​can be identified based on data in the operation DB 132. (a1) The sum of the average hall call duration at the boarding floor and the average ride time from the boarding floor to the lobby floor. The "hall call duration" is the time from when a user presses the hall call button (the call button for the up / down elevator) to when the elevator arrives. The average hall call duration at the boarding floor is an indicator corresponding to the waiting time of users. (a2) The sum of the number of platform call stops (e.g., average value) and the number of car call stops (e.g., average value) for the entire building. For each floor, the "number of platform call stops" is the number of times that a car stopped at that floor because a call was registered at the platform at that floor. For each floor, the "number of car call stops" is the number of times that a car stopped at that floor because a car call was registered to stop at that floor. (a3) The sum of the number of hall calls (e.g., average value) and the number of car calls (e.g., average value) for the entire building. For each floor, the "number of hall calls" is the number of calls generated at the hall on that floor. For each floor, the "number of car calls" is the number of car calls generated at that floor. Therefore, the number of hall calls generated for the entire building (7:00-7:10) = the number of hall calls generated on the first floor (7:00-7:10) + the number of hall calls generated on the second floor (7:00-7:10) + the number of hall calls generated on the third floor... Similarly, the number of car calls generated for the entire building (7:00-7:10) = the number of car calls generated on the first floor (7:00-7:10) + the number of car calls generated on the second floor (7:00-7:10) + the number of car calls generated on the third floor...

[0040] The operation index (B) may be calculated based on at least one of the following (b1) to (b4). Any of (b1) to (b4) can be identified based on data in the operation DB 132. The "occupancy rate" is the ratio of the identified number of passengers to the maximum number of passengers in the car. (b1) The occupancy rate of the car when arriving at the boarding floor (for example, the average value). (b2) Elevator usage (e.g., average value) for all upper floors. (b3) The occupancy rate (e.g., average value) when the building is deemed full. (b4) The occupancy rate (for example, average value) when the floor is deemed full.

[0041] The operation index (C) may be calculated based on at least one of the following (c1) and (c2): (c1) and (c2) can both be identified based on data in the operation DB 132. (c1) Average floor call duration. (c2) The sum of the number of stops at the platform (average value) and the number of stops at the car (average value) for the entire building.

[0042] The operation index (D) may be calculated based on at least one of the following (d1) and (d2): (d1) and (d2) can both be identified based on data in the operation DB 132. (d1) Average ride time (e.g., average value) from the boarding floor to the lobby floor. (d2) The sum of the number of stops at the boarding floor (for example, the average value) and the number of stops at the car call (for example, the average value) from the boarding floor to the lobby floor.

[0043] The operation index (E) may be calculated based on the following (e1): (e1) can be identified based on the data in the operation DB 132. (e1) Car occupancy rate (e.g., average value).

[0044] FIG. 3 shows an example of the structure of data in the operation DB 132.

[0045] The operation DB 132 may contain periodically acquired elevator operation data or data resulting from the aggregation of such data. For example, the data in the operation DB 132 may represent, by day, time period, and floor, values ​​obtained for multiple elevator operation parameters, such as the average hall call duration at the target floor, the average ride time from the target floor to the lobby floor, the average number of hall call stops during the target time period, and the average number of car call stops during the target time period. Note that the "target floor" and "target time period" in this paragraph refer to the floor and time period recorded in the same record. Furthermore, the "hall call duration" is the waiting time of the first passenger who pressed the hall call button. The hall call duration is useful as an alternative indicator of waiting time at the hall. This is because it is difficult to measure each passenger's exact waiting time without a camera or other device.

[0046] FIG. 4 shows an example of the data structure in the setting DB 133. As shown in FIG.

[0047] The setting DB 133 has data representing, for each user, the user name, the boarding floor (residential floor or floor where the user is staying), the target date (the date on which operation visualization is performed), the usage time period (the time period for which operation visualization is performed), and the indicator items to be displayed. The data may also include a time interval (the time interval will be described later).

[0048] FIG. 5 shows an example of the structure of data in the index DB 134.

[0049] The index DB 134 has data that represents, for each floor, an operation index corresponding to each of a plurality of index items for each time interval. As illustrated in Fig. 5, for each index item, an "operation index" is an index of the value obtained for the index item. The operation index is a relative value (e.g., a level value) in the usage time period.

[0050] Figure 6 shows an example of a UI that visualizes operations.

[0051] The UI that visualizes the operation is typically provided and displayed on the user terminal 123 or the room terminal 124 by the elevator operation visualization system 100. The UI may display the numerical values ​​of the operation indicators shown in Fig. 5, for example, but preferably displays the operation indicators in a highly visible representation (for example, a graph) as in the UI exemplified in Fig. 6. According to the graph displayed on the UI shown in Fig. 6, the user can easily understand the following points regarding the usage time period (07:45 to 08:15): The time step size is 5 minutes. The average travel time from the boarding floor to the lobby floor is smallest between 07:45 and 07:50 or between 08:10 and 08:15. The congestion index is lowest between 07:45 and 07:50.

[0052] Therefore, a user who sees this display is likely to determine that it is most preferable to travel from the boarding floor to the lobby floor between 07:45 and 07:50, when both the average required time index and the congestion degree are the smallest.

[0053] In addition, a representation other than a graph, such as a heat map, may be adopted as a representation with excellent visibility. In a heat map, for each operation index, the smaller the operation index for each time step width, the lighter the color, and the larger the operation index, the darker the color.

[0054] Fig. 7 shows an example of the flow of processing performed by the elevator operation visualization system 100. Note that Fig. 7 shows processing for one user. This processing is performed at a predetermined time (for example, 00:00) every day. Note that the time at which visualization is performed may be set for each user in the setting DB 133, and the processing shown in Fig. 7 may be performed when the visualization time arrives.

[0055] The identification unit 142 determines whether or not a user's desire for visualization of operation indicators has been set in the setting DB 133 by referring to the setting DB 133 (S701). If the determination result of S701 is true (S701: YES), S702 and subsequent steps are performed. Note that, instead of S701: YES, S702 and subsequent steps may be performed in response to the UI unit 144 receiving a request for operation visualization from the user terminal 123 (or other terminal).

[0056] The identification unit 142 acquires operation status data from the operation DB 132 (S702). The "operation status data" may be all or part of the data held by the operation DB 132, for example, data including elevator operation data for each elevator 111 for a certain period of time in the past (for example, for the past week, month, or year), or data including statistical data of the elevator operation data (for example, data configured as illustrated in FIG. 3).

[0057] The identification unit 142 identifies the boarding floor of the user (S703). The boarding floor may be identified from data about the user acquired from the setting DB 133 (for example, data input by the user via the user terminal 123 or another terminal and set in the setting DB 133), or may be identified based on location information from the user terminal 123 (for example, information representing a GNSS (Global Navigation Satellite System) location detected by the user terminal 123), or may be identified based on data (data including data representing the user) from a device installed on each floor where a room for residence or stay is located and which communicates with the user terminal 123 on that floor, or may be identified based on information input by the user via a UI provided by the UI unit 144, or may be identified based on the user's past behavior or other history.

[0058] The identification unit 142 identifies the user's usage time zone (S704). The usage time zone may be identified from data about the user acquired from the setting DB 133 (for example, data input by the user via the user terminal 123 or another terminal and set in the setting DB 133), or may be identified based on information input by the user via a UI provided by the UI unit 144, or may be identified based on the user's past actions or other history.

[0059] The determination unit 145 determines a time interval corresponding to the use time slot identified in S704 (S705). For example, the determination unit 145 may determine the time interval from data about the user acquired from the setting DB 133 (for example, data input by the user via the user terminal 123 or another terminal and set in the setting DB 133). Furthermore, for example, the determination unit 145 may determine the elevator usage volume during the use time slot identified in S704 from the operation status data acquired in S702, and determine the time interval according to the identified elevator usage volume. For a use time slot, the "elevator usage volume" is a value representing the number of users, and may be based on at least one of the number of users of the elevator, the number of hall calls, and the number of car calls for the use time slot, for example.

[0060] The greater the elevator usage volume, the narrower the time increment may be, and the less the elevator usage volume, the larger the time increment may be. For example, the determination unit 145 may calculate the number of users per time interval for one or more time intervals based on the elevator usage volume for the usage time period, and determine the narrowest unit time interval among the unit time intervals that results in a number of users of X or more as the time increment. Also, for example, if the usage time period overlaps with one or more time periods each associated with a time increment in advance (e.g., by more than a certain percentage of the usage time period), the determination unit 145 may determine the time increment associated with the time period with which the usage time period overlaps (e.g., a 5-minute increment associated with a certain time period in the morning or a 60-minute increment associated with a certain time period in the evening) as the time increment for the usage time period.

[0061] The calculation unit 143 calculates, for the usage time period identified in S704, for each time interval determined in S705, the operation index for each index item at that time interval based on the operation status data acquired in S702 (S706). For example, the above-mentioned operation indexes (A) to (F) are calculated. Here, for each index item, the operation index for each time interval during the usage time period is a relative value compared with the usage time period at the boarding floor identified in S703. This allows the user to easily know what time is best to use the elevator during the usage time period.

[0062] The UI unit 144 determines whether the index items to be displayed are specified (S707). This determination may be made by determining whether the index items to be displayed are specified in data acquired about the user from the setting DB 133 (for example, data input by the user via the user terminal 123 or another terminal and set in the setting DB 133). Alternatively, the determination in S707 may be made before S706, and operation indices may be calculated only for the index items to be displayed.

[0063] If the determination result of S707 is true (S707: YES), the UI unit 144 selects the specified index item (S708). The UI unit 144 displays the operation index of the index item selected in S708 from the operation indexes calculated in S706 on the user terminal 123 (or the room terminal 124) (S710).

[0064] On the other hand, if the determination result of S707 is false (S708: NO), the UI unit 144 selects the default index item (S709). The UI unit 144 displays the operation index of the index item selected in S709 from the operation indexes calculated in S706 on the user terminal 123 (or the room terminal 124) (S710).

[0065] Examples of operational indicators include the above-mentioned (A) and (B), namely, the following: (A) Average time required for elevator travel from the boarding floor to the lobby floor. (B) The congestion index of the car when it arrives at the boarding floor.

[0066] Hereinafter, a detailed example of calculation of the operation indexes (A) and (B) (a detailed example of S706) will be described with reference to FIGS.

[0067] FIG. 8 shows an example of the flow of calculation of the required time index.

[0068] The calculation unit 143 identifies (P) or (Q) below from the operation status data acquired in S702 for a certain period of time (e.g., 5 days) for the boarding floor identified in S703 and the usage time period identified in S704, for each time interval identified in S705 (S801). (P) (p1) The average call duration at the boarding floor and (p2) the average boarding time from the boarding floor to the lobby floor. (Q) (q1) Average number of platform call stops and (q2) Average number of car call stops.

[0069] The calculation unit 143 calculates a provisional average required time index (S802) for the boarding floor specified in S703 and the usage time period specified in S704, for each time interval specified in S705, based on (P) or (Q) specified in S801. For example, for each time interval, the average required time index may be the sum of (p1) and (p2) specified in S801, or the sum of (q1) and (q2) specified in S801.

[0070] The calculation unit 143 calculates an average travel time index as a relative value of the provisional average travel time index calculated in S802 for the boarding floor identified in S703 and the usage time period identified in S704, for each time interval identified in S705 (S803).

[0071] FIG. 9 shows an example of the flow of calculating the congestion index.

[0072] The calculation unit 143 performs the following (X) and (Y) for each time interval specified in S705 for the boarding floor specified in S703 and the usage time period specified in S704 (S901). (X) The calculation unit 143 identifies the average occupancy rate at the time of car arrival from the data for the past first period (for example, five days) of the operation status data acquired in S702. (Y) The calculation unit 143 identifies the average occupancy rate at the time of assumed full occupancy from the data for a past second period (e.g., one month) of the operation status data acquired in S702. Note that the "second period" is preferably longer than the "first period." This is because assumed full occupancy is considered to occur less frequently, and it is preferable to acquire data for a period longer than the first period. Furthermore, the "occupancy rate at the time of assumed full occupancy" may be identified based on data for the entire building and / or all time periods, without being limited to the boarding floor and / or usage time period (e.g., when the number of data items is less than a certain number).

[0073] The calculation unit 143 calculates a provisional congestion index based on the occupancy rate and the assumed full occupancy rate specified in S901 for each time interval specified in S705 for the boarding floor specified in S703 and the usage time slot specified in S704 (S902). For example, for each time interval, the congestion index may be the average value of the ratio of the occupancy rate at the time of car arrival to the occupancy rate at the time of car arrival when assumed full.

[0074] The calculation unit 143 calculates a congestion index as a relative value of the provisional congestion index calculated in S902 for the boarding floor identified in S703 and the usage time period identified in S704, for each time interval identified in S705 (S903).

[0075] Instead of the "occupancy rate," other occupancy amounts such as the average number of people or the average load capacity may be employed. Furthermore, the calculation unit 143 may perform the following with respect to the calculation of the congestion index. That is, the calculation unit 143 may normally identify the occupancy rate when the entire building or the boarding floor is deemed full. When the usage time period includes a crowded time (for example, when the occupancy rate exceeds a certain value based on past history), the calculation unit 143 may identify the occupancy rate when the entire building or the boarding floor is deemed full during the usage time period.

[0076] Furthermore, the operation index includes the operation index (F) mentioned above, that is, the level index of the assumed fullness (actual fullness) in the target building or boarding floor. The assumed fullness is also related to the calculation of the operation index (congestion index) (B). An example of determining the assumed fullness will be explained below with reference to FIG. 10.

[0077] FIG. 10 shows an example of the flow of determining whether a train is deemed full. This determination is made for each floor. This determination is made by a function of either the elevator group management system 110 (an example of an elevator control system) or the elevator operation visualization system 100, and if the determination detects that the train is deemed full, data indicating the floor on which the full-fledged train occurred, the time of occurrence, etc. is included in the elevator operation data. In the description of FIG. 10, the time span may be a first time span (for example, the minimum time span), and the time interval may be an integer multiple of the first time span.

[0078] The elevator group control system 110 determines whether or not a hall call has been generated at a floor in question and whether or not a car of any elevator has arrived at the floor in question (S1001).

[0079] If the determination result of S1001 is true (S1001: YES), the elevator group control system 110 determines whether or not boarding of the arriving elevator car has been detected (for example, whether an increase in the load sensor of the elevator car has occurred) (S1002).

[0080] If the determination result of S1002 is false (S1002: NO), the elevator group control system 110 determines whether a hall call has occurred again at the floor within a predetermined time since the elevator car departed from the floor (S1003).

[0081] If the judgment result of S1003 is true (S1002: YES), the elevator group control system 110 detects that S1003 was YES as an occurrence of an assumed full load on the floor in question, and records data representing the occurrence of the assumed full load, the floor on which it occurred (the floor in question), the time of occurrence (for example, the time when S1003: YES was obtained), and the occupancy rate of the car at the time of occurrence as part of the elevator operation data of the elevator that has that car (S1004).

[0082] 7, the boarding floor may be specified as illustrated in FIG 11. The boarding floor specified in S703 in FIG 7 may be the boarding floor determined in S1106 in FIG 11.

[0083] FIG. 11 shows an example of the flow of determining the boarding floor.

[0084] The identification unit 142 determines whether the user has permitted automatic identification of the boarding floor (S1101). This determination may be made based on the setting DB 133, for example. If the determination result of S1101 is false (S1101: NO), the UI unit 144 displays a UI on the user terminal 123 (or another terminal) requesting the user to input the boarding floor (S1105). The identification unit 142 determines that the boarding floor indicated by the information input in response to the request is the boarding floor of the user (S1106).

[0085] If the determination result of S1101 is true (S1101: YES), the identification unit 142 determines whether or not information for determining the boarding floor of the user can be obtained from a predetermined app (for example, an app for an operation visualization service for users who reside or stay in a building) installed in the user terminal 123 (S1102). If the determination result of S1102 is true (S1102: YES), the identification unit 142 determines the boarding floor of the user based on the information obtained from the app (S1106).

[0086] If the determination result of S1102 is false (S1102: NO), the identification unit 142 determines whether or not the boarding floor can be determined based on the GNSS signal received by the user terminal 123 (S1103). If the determination result of S1103 is true (S1103: YES), the identification unit 142 determines the boarding floor of the user based on data representing the GNSS signal and obtained from the user terminal 123 (S1106).

[0087] If the determination result of S1103 is false (S1103: NO), the identification unit 142 determines whether the boarding floor of the user can be identified from the elevator group control system 110 (S1104). For example, the elevator group control system 110 may identify the user who will board the car by comparing a facial image of the user (or other identification information about the user) with an image captured by a camera installed at the landing or the car (or information obtained by a device such as an IC card reader installed at the landing or the car), and transmit data representing the identified user to the elevator operation visualization system 100, for example, as part of the elevator operation data. If the determination result of S1104 is true (S1104: YES), the identification unit 142 determines the boarding floor of the user based on data obtained from the elevator group control system 110 (S1106).

[0088] If the determination result of S1104 is false (S1104: NO), the UI unit 144 displays a UI on the user terminal 123 (or other terminal) requesting the user to input the boarding floor (S1105). The identification unit 142 determines that the boarding floor indicated by the information input in response to the request is the boarding floor of the user (S1106).

[0089] Incidentally, the indicator items to be displayed do not have to be common to all periods, but may differ depending on the day, time period, weather, the type of event being held in the building, etc. Data representing the weather and data representing a calendar in which the events being held and their types are recorded may be acquired (for example, input) from outside the elevator operation visualization system 100 and stored in the storage device 52, and based on the data stored in the storage device 52, the weather during the usage time period, the type of event, etc. may be identified.

[0090] Specifically, for example, as illustrated in FIGS. 12 and 13, it is possible to associate index priorities according to the day or time period with operation indexes, and to control visualization according to the day, time period, and index priorities.

[0091] FIG. 12 shows an example of the structure of data relating to index priority order among the data in the setting DB 133. As shown in FIG.

[0092] The data illustrated in Fig. 12 may exist for each user, or may be common to the boarding floor or the entire building. According to the example illustrated in Fig. 12, the priority of the displayed index items differs depending on the day and time period.

[0093] For example, during times when it is likely that passengers will arrive at their destination by the desired time (e.g., weekday mornings), the average travel time index from the boarding floor to the lobby floor (the index (A) described above) is given top priority, followed by the congestion index (the index (B) described above).

[0094] Also, for example, during times when it is unlikely that a person will arrive at their destination by the intended time (for example, other than weekday mornings or on holidays), the ride-sharing index (the above-mentioned index (E)) is given top priority, followed by the average waiting time index (the above-mentioned index (C)).

[0095] Fig. 13 shows an example of a flow for determining items to be displayed (index items to be displayed). This flow follows the data illustrated in Fig. 12. This flow may also be performed in S708 or S709 in Fig. 7.

[0096] The calculation unit 143 determines whether the target day (the day on which visualization is performed) is a weekday (S1301). If the determination result of S1301 is true (S1301: YES), the calculation unit 143 determines whether a predetermined percentage or more of the usage time period overlaps with the morning time period (S1302).

[0097] If the determination result of S1302 is true (S1302: YES) and multiple index items are to be displayed (S1303: YES), the calculation unit 143 determines the priority order of (1) the average required time index, and (2) the car congestion index (S1304). In this case, in S710 of Fig. 7, the UI displayed by the UI unit 144 lists the index items (operation index) in the order of the average required time index to the lobby floor and the car congestion index, as shown in Fig. 6.

[0098] On the other hand, if the determination result of S1302 is true (S1302: YES) and one index item is to be displayed (S1303: NO), the calculation unit 143 determines the average required time index that has the highest priority for weekdays and mornings (S1305).

[0099] If the determination result of S1301 or S1302 is false (S1301 or S1302: NO) and multiple index items are to be displayed (S1306: YES), the calculation unit 143 determines the priority order of (1) ride-sharing index, and (2) average waiting time index (S1307). In this case, in S710 of Fig. 7, the UI displayed by the UI unit 144 lists the index items (operation index) in the order of ride-sharing index, average waiting time index.

[0100] On the other hand, if the determination result of S1301 or S1302 is false (S1301 or S1302: NO) and one index item is to be displayed (S1306: NO), the calculation unit 143 determines a ride-sharing index (S1308).

[0101] With respect to the description with reference to FIGS. 12 and 13, for example, the following can be said.

[0102] Since apartment buildings are the residents' everyday living spaces, there is a strong sense of personal privacy. For this reason, there is a greater need to avoid sharing elevator cars with other people than in public spaces such as office buildings.

[0103] For example, residents of an apartment building may use elevators to travel to their destination without a specific arrival time, such as going shopping during the day or at night, throwing away trash at a designated dump, or checking their mail at a mailbox on a specific floor. In such cases, some users prefer to avoid sharing the elevator with others as much as possible.

[0104] In addition, in apartment buildings, elevator congestion is mainly concentrated in the morning when people are heading down the stairs. Because residents from each floor use the elevator to commute to work or school in the morning (for example, between 7:00 and 9:00), there are cases where waiting times at the elevator stand and ride times after boarding are very long due to the elevator stopping at each floor.

[0105] Hotels are temporary living spaces for guests, so just like apartment buildings, there is a strong need to avoid sharing the car with others. Also, just like apartment buildings, there is a high concentration of passengers heading out in the morning for meals and check-out.

[0106] As mentioned above, apartment buildings and hotels are particularly busy in the morning, so during this time, the elevator travel time, which includes the waiting time at the boarding floor and the ride time from the boarding floor to the lobby floor, is considered to be important.At other times, people are more conscious of protecting their privacy, so it is considered important to avoid sharing the elevator car as much as possible.

[0107] Therefore, the items to be displayed differ depending on the date attribute (weekday or holiday) and the time period. Specifically, as follows: Weekday mornings (7:00-9:00): During this time period, the average required time and congestion level are important indicators for users. Therefore, the UI unit 144 displays the average required time indicator first, and when multiple operation indicators are displayed, displays the congestion level indicator second. During non-morning hours on weekdays: During these hours, the most important need for users is to avoid sharing the car, followed by waiting time. Therefore, the UI unit 144 displays the car occupancy rate indicator with priority, and when multiple operation indicators are displayed, the UI unit 144 displays the average waiting time indicator at the boarding floor with second priority. Holidays: On holidays, the need to avoid passengers sharing the same car is most important, followed by waiting time. For this reason, the UI unit 144 displays the car occupancy rate indicator with priority, and when displaying multiple operation indicators, displays the average waiting time indicator for the boarding floor with second priority.

[0108] Although one embodiment has been described above, this is merely an example for explaining the present invention, and the scope of the present invention is not limited to this embodiment. The present invention can be implemented in various other forms. For example, other statistical values ​​such as a maximum value or a minimum value may be used instead of at least one average value in the above description.

[0109] The above description can be summarized as follows: The following summary may include supplementary explanations and explanations of variations of the above description.

[0110] The elevator operation visualization system 100 includes an acquisition unit 141, an identification unit 142, a calculation unit 143, and a UI unit 144. The acquisition unit 141 acquires elevator operation data, which is data related to the operation of one or more elevators 111 installed in a building having multiple floors (e.g., multiple floors each having multiple rooms for living or staying). The acquired elevator operation data is stored, for example, in the operation DB 132. The identification unit 142 identifies a boarding floor, which is a floor where a user lives or stays, and identifies a target date and usage time period, which are a date and time period when the user can move from the boarding floor to the lobby floor. The calculation unit 143 calculates one or more operation indicators for the boarding floor for each time interval in the usage time period using operation values ​​of one or more operation items for the operation indicators, which are values ​​based on at least a portion of the elevator operation data for each of one or more elevators. The UI unit 144 outputs operation information for the usage time period (e.g., a UI visualizing the operation) based on one or more operation indicators. This improves convenience for users who live or stay in any of a plurality of rooms in a building having multiple floors, each of which is provided with a plurality of rooms for living or staying. In the above-described embodiment, the UI unit 144 is located within the elevator operation visualization system 100. However, the elevator operation visualization system 100 itself does not have to provide a UI, and therefore the UI unit 144 may be located outside the elevator operation visualization system 100. Specifically, the elevator operation visualization system 100 may have, instead of or in addition to the UI unit 144, an output unit that outputs operation information for a usage time period based on one or more operation indicators. The UI unit 144 may provide a UI that visualizes the operation information output by the output unit.

[0111] The one or more display target indicators, which are one or more operation indicators displayed on the UI, may be one or more of the operation indicators (A) to (F) below. This improves user convenience. (A) Travel time index, which is an indicator of the time required for elevator travel from the boarding floor to the lobby floor. (B) Crowding index, which is an indicator of the degree of congestion of the car when the car arrives at the boarding floor. (C) Waiting time index, which is an indicator of waiting time at the boarding floor. (D) Ride time index, which is an indicator of the ride time from the boarding floor to the lobby floor. (E) Ride-sharing index, which is an indicator of the likelihood of sharing a car with others. (F) A deemed fullness index, which is an indicator of the number of occurrences of deemed fullness in the target building or boarding floor.

[0112] The one or more display target indices may include the indices (A) and (B), or may include the indices (E) and (C). Because an appropriate combination of indices is displayed, user convenience is improved.

[0113] When the usage time period overlaps with a first time period (e.g., morning) that is determined as a time period when it is often necessary to arrive at the destination by the desired time, the one or more indicators to be displayed may include indicator (A) and indicator (B). When the usage time period overlaps with a second time period that is determined as a time period other than the first time period, the one or more indicators to be displayed may include indicator (E) and indicator (C). Because an appropriate combination of indicators is displayed in appropriate cases, convenience for users is improved.

[0114] For each time interval on the target day and in the usage time slot, the operation value used to calculate each operation index may be a value (e.g., a statistical value) obtained based on past data of elevator operation data for one or more elevators, which has the same date attribute as the target day and which is in the same time slot as the usage time slot. This is expected to enable accurate calculation of operation indexes based on past data.

[0115] The elevator operation visualization system 100 may further include a determination unit 145. The determination unit 145 may determine an elevator usage volume based on at least one of the number of elevator occupants and the number of hall calls and the number of car calls for a specified boarding floor and usage time period, based on at least a portion of the elevator operation data for each of one or more elevators 111, and may determine a time increment for the usage time period based on the determined elevator usage volume. The calculation unit may calculate one or more operation indicators for the boarding floor for each determined time increment for the usage time period. This allows a time increment of an appropriate length to be obtained.

[0116] The operation values ​​of one or more operation items for the operation indicators of (A) may be at least one of the statistical value of the duration of a boarding floor's hall call, the statistical value of the average ride time from a boarding floor to the lobby floor, the statistical value of the number of boarding call stops in the entire building, the statistical value of the number of car call stops in the entire building, the statistical value of the number of boarding call occurrences in the entire building, and the statistical value of the number of car call occurrences in the entire building. The number of boarding floor call stops is the number of times a car stopped at a boarding floor because a call was made at the boarding floor. The number of car call stops at a boarding floor is the number of times a car stopped at a boarding floor because a car call was made to stop at the boarding floor. The number of boarding floor call occurrences is the number of times a call was made at a boarding floor's hall. The number of car call occurrences at a boarding floor is the number of times a car call was made at a boarding floor. The operation indicators of (A) may be any of the following (a1) to (a3). This is expected to result in an appropriate operation indicator as the operation indicator of (A). (a1) The sum of the statistical value of the duration of the boarding floor call and the statistical value of the average boarding time from the boarding floor to the lobby floor. (a2) The sum of the statistical value of the number of stops at the landings and the statistical value of the number of stops at the car calls for the entire building. (a3) The sum of the statistical value of the number of hall calls made in the entire building and the statistical value of the number of car calls made.

[0117] The operation value of one or more operation items for the operation index (B) may be at least one of the following (b1) to (b4). This is expected to result in an appropriate operation index as the operation index (B). The elevator usage volume at each upper floor may be based on at least one of the number of elevator users and the number of hall calls and car calls for that upper floor. For each floor, the occurrence of a deemed full occupancy may be when a car arrives at that floor due to a hall call, but a hall call occurs again at that floor within a predetermined time after the car departs. (b1) Statistical value of the occupancy rate of the car when arriving at the boarding floor. (b2) Statistics on elevator usage at all floors above the boarding floor. (b3) Statistical values ​​of occupancy rates when a building is deemed full. (b4) Statistical value of occupancy rate when the boarding floor is deemed full.

[0118] The data on which the statistical values ​​of (b1) and (b2) are based may be from a first past period, and the data on which the statistical values ​​of (b3) and (b4) are based may be from a second past period that is longer than the first period. The occupancy rate when a building is deemed full may be the occupancy rate in a car when a car stops at a floor where a boarding call is made in the building and no passengers board the car. The occupancy rate when a boarding floor is deemed full may be the occupancy rate in a car when a boarding call is made at a boarding floor in the building and a car stops, but no passengers board the car.

[0119] The operation value of one or more operation items for the operation index of (C) can be the statistical value of the duration of the boarding floor call during the same time period as the usage time period. This is expected to be an appropriate operation index for the operation index of (C).

[0120] The operation values ​​of one or more operation items for the operation indicators of (D) can be statistical values ​​of the ride time from the boarding floor to the lobby floor during the same time period as the usage time period. This is expected to result in appropriate operation indicators as the operation indicators of (D).

[0121] The operation values ​​of one or more operation items for the operation indicators of (E) can be the statistical values ​​of the occupancy rate of the car, the statistical values ​​of the number of calls made at the elevator hall, and the statistical values ​​of the number of people using the elevator during the same time period as the usage time period. This is expected to provide an appropriate operation indicator for (E).

[0122] The identification unit 142 may identify the boarding floor from any of data in which the boarding floor for the user is recorded in advance, location information of the user terminal 123 (an example of a mobile terminal) of the user, and input information from the user. This makes it possible to automatically identify the boarding floor.

[0123] The UI may display one or more display target indicators, which are one or more operation indicators to be displayed, for each boarding floor at each time interval during the usage time period, from among one or more operation indicators. This allows the user to estimate at which time interval it is preferable for the user to use the elevator.

[0124] For each of one or more operation indices, the operation indices may be a relative level value of the operation indices during the usage time period. This allows users to estimate what time interval is best for using the elevator during the usage time period. In particular, in buildings with multiple floors, such as apartment buildings and hotels, each of which has multiple rooms for living or staying, there is a standard number of people that can live or stay in each room, so the daily variation in the number of people using the elevator is smaller than in office buildings or commercial buildings. Therefore, using a relative level value of the operation indices during the usage time period makes it easier for users to determine what time is best for using the elevator during the usage time period.

[0125] The indicators to be displayed and their display priority may differ depending on at least one of the date attribute and / or weather attribute of the target day and the time period in which the usage time period overlaps. This allows appropriate operation indicators to be displayed. For example, the example shown in FIG. 13 includes a date attribute, but a weather attribute (e.g., weather) may be used instead of or in addition to the date attribute. In addition to elevator operation data, the operation DB 132 may also store acquired weather data. The weather for the target day may be the forecasted weather. [Explanation of symbols]

[0126] 100: Elevator operation visualization system

Claims

1. an acquisition unit that acquires elevator operation data, which is data related to operation of each of one or more elevators installed in a building having multiple floors; an identification unit that identifies a boarding floor that is a floor where a user resides or stays, and identifies a target date and time period that is a date and time period when the user can move from the boarding floor to a lobby floor; a calculation unit that calculates one or more operation indicators for the boarding floor for each time interval in the use time slot using operation values ​​of one or more operation items for the operation indicators, the operation values ​​being values ​​based on at least a portion of the elevator operation data for each of the one or more elevators; an output unit that outputs operation information for the use time period based on the one or more operation indicators; An elevator operation visualization system equipped with

2. One or more display target indicators, which are one or more operation indicators, are displayed on a UI (User Interface) in which operation information for the use time period is visualized based on the one or more operation indicators; The one or more display target indicators are one or more operation indicators selected from the following (A) to (F): (A) a travel time index that is an index of the time required for elevator travel from the boarding floor to the lobby floor; (B) a congestion index that is an index of the congestion level of the elevator car when the elevator car arrives at the boarding floor; (C) a waiting time index that is an index of the waiting time at the boarding floor; (D) a ride time index that is an index of the ride time from the boarding floor to the lobby floor; (E) a ride-sharing index, which is an indicator of the likelihood of sharing a car with others; (F) a deemed fullness index, which is an index of the number of occurrences of deemed fullness in the target building or boarding floor; The elevator operation visualization system according to claim 1 .

3. The one or more display target indices include an index (A) and an index (B), or an index (E) and an index (C), The elevator operation visualization system according to claim 2.

4. When the use time period overlaps with a first time period determined as a time period during which it is often necessary to arrive at a destination by a desired time, the one or more display target indicators include an indicator (A) and an indicator (B); When the usage time period overlaps with a predetermined second time period among time periods other than the first time period, the one or more display target indicators include an indicator (E) and an indicator (C); The elevator operation visualization system according to claim 3.

5. For each time step width on the target day and in the usage time slot, the operation value used for calculating each operation index is a value obtained based on past data of elevator operation data for each of the one or more elevators, which has the same date attribute as the date attribute to which the target day belongs and which is in the same time slot as the usage time slot; The elevator operation visualization system according to claim 1 .

6. a determination unit that determines an elevator usage volume based on at least one of the number of elevator users and the number of hall calls and the number of car calls for the specified boarding floor and usage time period based on at least a part of the elevator operation data for each of the one or more elevators, and determines a time step width for the usage time period based on the determined elevator usage volume; Further provided with the calculation unit calculates one or more operation indicators for the boarding floor for each determined time interval in the use time period, The elevator operation visualization system according to claim 1 .

7. (A) The operation value of one or more operation items for the operation index is at least one of a statistical value of the duration of a hall call at the boarding floor, a statistical value of the average boarding time from the boarding floor to the lobby floor, a statistical value of the number of hall call stops in the entire building, a statistical value of the number of car call stops in the entire building, a statistical value of the number of hall call occurrences in the entire building, and a statistical value of the number of car call occurrences in the entire building, The operation index (A) is one of the following (a1) to (a3): (a1) the sum of the statistical value of the hall call duration at the boarding floor and the statistical value of the average boarding time from the boarding floor to the lobby floor, (a2) the sum of the statistical value of the number of stops at the landings and the statistical value of the number of stops at the car calls in the entire building, (a3) the sum of the statistical value of the number of hall calls generated in the entire building and the statistical value of the number of car calls generated; The number of times of stops at the boarding floor due to a call at the boarding floor is the number of times that the elevator car stops at the floor, The number of car call stops at the boarding floor is the number of times that the car stopped at the boarding floor because a car call was made to stop at the boarding floor, The number of times that calls were generated at the boarding floor is the number of times that calls were generated at the boarding floor, The number of car calls generated at the boarding floor is the number of car calls generated at the boarding floor. The elevator operation visualization system according to claim 2.

8. The operation value of one or more operation items for the operation index (B) is at least one of the following (b1) to (b4): (b1) a statistical value of the occupancy rate of the car when arriving at the boarding floor; (b2) a statistical value of elevator usage at all floors above the boarding floor; (b3) a statistical value of the occupancy rate when the building is deemed full; (b4) a statistical value of the occupancy rate when the assumed fullness occurs at the boarding floor; The elevator usage volume at each upper floor is determined based on at least one of the number of elevator users and the number of hall calls and the number of car calls for the upper floor. For each floor, the occurrence of a deemed full occupancy occurs when a car arrives at the floor due to a hall call occurring at that floor, but a hall call occurs again at that floor within a predetermined time after the car departs. The elevator operation visualization system according to claim 2.

9. The occupancy rate when a deemed full occupancy occurs in the building is the occupancy rate in the car when no passengers board the car that has stopped at the floor where the boarding call was made in the building, The occupancy rate when a deemed full occupancy occurs at the boarding floor is the occupancy rate in the car when a call is made to the boarding floor in the building and the car stops, but no passengers board the car. The elevator operation visualization system according to claim 8.

10. (C) The operation value of one or more operation items for the operation index is a statistical value of the hall call duration of the boarding floor during the same time period as the use time period, The elevator operation visualization system according to claim 2.

11. (D) The operation value of one or more operation items for the operation index is a statistical value of the ride time from the boarding floor to the lobby floor during the same time period as the use time period. The elevator operation visualization system according to claim 2.

12. (E) The operation values ​​of one or more operation items for the operation index are the statistical value of the occupancy rate of the elevator car, the statistical value of the number of calls made at the elevator hall, and the statistical value of the number of people using the elevator during the same time period as the use time period. The elevator operation visualization system according to claim 2.

13. The identification unit identifies the boarding floor from any of data in which the boarding floor for the user is recorded in advance, location information of the user's mobile terminal, and input information from the user. The elevator operation visualization system according to claim 1 .

14. The UI displays one or more display target indicators, which are one or more operation indicators to be displayed among the one or more operation indicators, for each of the boarding floors for each of the time intervals during the usage time period. The elevator operation visualization system according to claim 1 .

15. For each of the one or more operation indicators, the operation indicator is a relative level value of the operation indicator during the usage time period. The elevator operation visualization system according to claim 1 .

16. The operation indicators to be displayed and the priority of the operation indicators to be displayed differ depending on at least one of the attribute of the target day and the time period in which the usage time period overlaps. The elevator operation visualization system according to claim 1 .

17. acquiring elevator operation data, which is data relating to operation of each of one or more elevators installed in a building having multiple floors; Identifying a boarding floor, which is the floor where the user resides or stays, and identifying a target date and time period during which the user can move from the boarding floor to the lobby floor; calculating one or more operation indicators for the boarding floor for each time interval in the use time period using operation values ​​of one or more operation items for the operation indicator, the operation values ​​being values ​​based on at least a portion of the elevator operation data for each of the one or more elevators; outputting operation information for the use time period based on the one or more operation indicators; This is a computer-based method for visualizing elevator operation.

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