JP2018008758A - Elevator system and car call estimation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To solve problems for example, by only predicting a car call after a short time in a single elevator, an elevator cannot be efficiently operated.SOLUTION: A behavior measurement part which an elevator system has, measures a behavior of a passenger who moves in a peripheral area of an elevator for outputting behavior data. An elevator control device controls an operation of an elevator, and outputs operation data of the elevator, and getting on/off data which indicates that, the passenger who uses the elevator gets on/gets off from the car. A car call estimation part estimates a car call generated on the elevator, using a learning result obtained by learning a relationship of a getting on/off floor and getting on/off number of passengers based on the operation data and getting on/off data, and the behavior of the passengers estimated based on the behavior data, and registers the estimated car call in the elevator control device.SELECTED DRAWING: Figure 2

Description

  The present invention relates to an elevator system and a car call estimation method.

  Conventionally, various methods have been studied for predicting elevator operation demand. For example, Patent Literature 1 includes an elevator system that predicts the occurrence of a car call on each floor using the correlation of car calls on each floor of the elevator, and performs group management control in accordance with the prediction of the car call occurrence on the apparatus. Is disclosed.

JP-A-6-329352

  However, in the elevator system disclosed in Patent Document 1, even if it is possible to predict a car call after a short time in a single elevator, operation control linked to other elevators cannot be performed. For this reason, when a passenger moves to the destination floor via a plurality of elevators, when a passenger who has moved to the middle floor by a certain elevator moves from the middle floor to the destination floor by another elevator, May stay. Moreover, in the elevator system disclosed by patent document 1, since operation control was performed by selecting a traffic flow based on general information, appropriate operation control could not be performed for every moving passenger.

  The present invention has been made in view of such a situation, and an object of the present invention is to predict a car call generated in an elevator so that the operation of the elevator can be efficiently controlled.

The elevator system according to the present invention includes a behavior measurement unit, an elevator control device, and a car call estimation unit.
The behavior measuring unit measures the behavior of a passenger moving in the area around the elevator and outputs behavior data. The elevator control device controls the operation of the elevator and outputs elevator operation data and boarding / alighting data indicating that a passenger using the elevator has got on and off the car. The car call estimation unit uses a learning result obtained by learning the relationship between passenger behavior estimated based on behavior data and passenger boarding / exiting floors based on operation data and boarding / exiting data. Estimate the call and register the estimated car call in the elevator controller.

According to the present invention, for example, an elevator car operation control is efficiently performed by automatically registering an estimated car call without being conscious of passengers moving between elevators.
Problems, configurations, and effects other than those described above will become apparent from the following description of embodiments.

It is explanatory drawing which shows the example of the building with which the elevator system which concerns on the basic structural example of embodiment of this invention is comprised. It is a block diagram which shows the internal structural example of the elevator system which concerns on the basic structural example of embodiment of this invention. It is a block diagram which shows the example of the learning process of the car call estimation part which concerns on the basic structural example of embodiment of this invention. It is a block diagram which shows the example of an internal structure of the elevator system which concerns on the 1st Example of this invention. It is a block diagram which shows the hardware structural example of the computer which concerns on the 1st Example of this invention. It is a flowchart which shows the operation example of the elevator system which concerns on the 1st Example of this invention. It is a flowchart which shows the operation example which an elevator system registers a car call based on the learning result preserve | saved in FIG. It is a block diagram which shows the example of an internal structure of the elevator system which concerns on the 2nd Example of this invention. It is a flowchart which shows the operation example of the elevator system which concerns on the 2nd Example of this invention. It is a flowchart which shows the operation example which an elevator system registers a car call based on the learning result preserve | saved in FIG. It is a block diagram which shows the example of an internal structure of the elevator system which concerns on the 3rd Example of this invention. It is a flowchart which shows the operation example of the elevator system which concerns on the 3rd Example of this invention. It is a flowchart which shows the operation example which an elevator system registers a car call based on the learning result preserve | saved in FIG. It is a block diagram which shows the example of an internal structure of the elevator system which concerns on the 4th Example of this invention. It is a flowchart which shows the operation example of the elevator system which concerns on the 4th Example of this invention. It is a flowchart which shows the operation example which an elevator system registers a car call based on the learning result preserve | saved in FIG. It is a block diagram which shows the internal structural example of the elevator system which concerns on the 5th Example of this invention. It is a flowchart which shows the operation example of the elevator system which concerns on the 5th Example of this invention. It is a flowchart which shows the operation example which an elevator system registers a car call based on the learning result preserve | saved in FIG. It is a block diagram which shows the example of an internal structure of the elevator system which concerns on the 6th Example of this invention. It is a block diagram which shows the example of an internal structure of the elevator system which concerns on the 7th Example of this invention. It is a block diagram which shows the example of an internal structure of the elevator system which concerns on the 8th Example of this invention. It is a block diagram which shows the example of an internal structure of the elevator system which concerns on the 9th Example of this invention. It is a block diagram which shows the example of an internal structure of the elevator system which concerns on the 10th Example of this invention.

  DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments for carrying out the present invention will be described with reference to the accompanying drawings. In the present specification and drawings, components having substantially the same function or configuration are denoted by the same reference numerals, and redundant description is omitted.

[Basic configuration example]
First, a basic configuration example of the elevator system will be described.
FIG. 1 is an explanatory diagram illustrating an example of a building in which the elevator system 1 is configured.

The elevator system 1 shown in FIG. 1 estimates car calls generated by passengers using each elevator based on the behavior of passengers getting on and off the elevators installed in the buildings 2A and 2B, respectively.
An elevator controller 20A is installed in the building 2A. The elevator control device 20A controls the operation of the elevator installed in the building 2A (for example, raising and lowering a car, opening and closing a door).
Similarly, the elevator control apparatus 20B is installed in the building 2B. The elevator control device 20B controls the operation of the elevator installed in the building 2B.

  A behavior measuring unit 10 exists in the peripheral region 4 provided between the buildings 2A and 2B. The peripheral region 4 is not limited to between the buildings 2A and 2B, but may be outside the buildings 2A and 2B within a predetermined range centered on the buildings 2A and 2B or an elevator. Further, the peripheral region 4 may be inside the buildings 2A and 2B. Further, the peripheral area 4 may be an elevator hall, a passage corridor, an office room, a meeting room, or the like.

  The behavior measuring unit 10 is used to measure the behavior of a passenger moving between the buildings 2A and 2B, and measures the behavior of the passenger moving in the peripheral area 4 of the elevator and outputs behavior data. As the behavior measurement unit 10, for example, a smartphone 11 (see FIG. 4 described later) carried by a passenger is used. In addition, as an example of the behavior measuring unit 10, car reservation devices 16A and 16B (see FIG. 8 described later), a security gate 17 (see FIG. 11 described later), and the like are used.

  The monitoring center 3 monitors the operation status of elevators installed in the buildings 2A and 2B. The monitoring center 3 may be installed in any of the buildings 2A and 2B. In this monitoring center 3, a car call estimation unit 30 and a storage device 40 are installed.

FIG. 2 is a block diagram illustrating an internal configuration example of the elevator system 1.
The elevator system 1 includes a behavior measurement unit 10, elevator control devices 20A and 20B, a car call estimation unit 30, and a storage device 40.

The behavior measurement unit 10 measures one or more behaviors of passengers and transmits behavior data to the car call estimation unit 30. Examples of passenger behavior include passenger position information, travel speed, and travel direction.
Elevator control device 20A, 20B controls the operation of an elevator, and outputs the operation data of an elevator, and the boarding / alighting data which show that the passenger using the elevator got on and off the car.

  The behavior data includes, for example, information such as the number of passengers and movement vectors measured by the behavior measurement unit 10. The operation data includes the operation information of the car processed by the elevator control devices 20A and 20B. The boarding / exiting data includes information such as which passengers use the car call operation to get on the car and on which floor to get off, and which elevator (unit) where the car on which the passenger got on and off is installed. This information is included.

The car call estimation unit 30 is connected to the elevator control devices 20 </ b> A and 20 </ b> B and the behavior measurement unit 10. The car call estimation unit 30 learns the learning result of learning the relationship between the passenger behavior estimated based on the behavior data received from the behavior measurement unit 10 and the passenger floor and the number of passengers based on the operation data and boarding data. Use to estimate the car call generated in the elevator. And the car call estimation part 30 determines a passenger's behavior, and registers the estimated car call into elevator control apparatus 20A, 20B.
The storage device 40 stores various data such as behavior data and learning results obtained by the car call estimation unit 30.

Here, the learning process of the car call estimation unit 30 will be described.
FIG. 3 is a block diagram illustrating an example of the learning process of the car call estimation unit 30.

  The algorithm used by the car call estimation unit 30 for car call estimation includes, for example, statistical processing, is called a neural network in the old days, and recently machine learning called deep learning is used. As shown in FIG. 3, the car call estimation unit 30 uses a deep neural network 33 that performs machine learning based on input data. The deep neural network 33 uses, for example, operation data and boarding / exiting data, which are operation results of the elevator control devices 20A and 20B, as teacher data 31, and behavior data output by the behavior measuring unit 10 as input data 32. Then, the deep neural network 33 uses which elevator the passenger uses, on which floor, and how to use the elevator (including between the buildings 2A and 2B) based on the teacher data 31 and the input data 32. Perform machine learning to understand what happened. The learning result is stored in the storage device 40.

  When new behavior data 34 is input to the deep neural network 33 that has finished machine learning, the number of passengers using a specific elevator based on the behavior data 34 and the learning result read from the storage device 40. Estimate the destination floor etc. Then, the deep neural network 33 outputs the estimated data 35 including the estimated number of passengers and the destination floor to one of the elevator control devices 20A and 20B that are the destinations of the passengers. The estimated data 35 is used as a car call estimated by the car call estimating unit 30. The elevator controllers 20 </ b> A and 20 </ b> B to which the estimated data 35 is input can register a car call based on the estimated data 35.

Returning again to the description of FIG.
Elevator control device 20A, 20B processes the operation data which combined the generation | occurrence | production time of a car call, a departure floor, and an arrival floor, for example. Further, the elevator control devices 20A and 20B manage detailed boarding / exiting data indicating on which floor the passenger who got on which floor got off.
The car call estimation unit 30 estimates the destination floor corresponding to at least the car call at an arbitrary time by analyzing the behavior data, the operation data, and the boarding / alighting data.

  The behavior measurement unit 10 is a device that measures the quantity of a specific object (such as a person), the speed and direction of the specific object. The behavior measuring unit 10 may be a single component or a composite component combining a plurality of various sensors. In general, behavior data including a value measured by the behavior measurement unit 10 is combined with a temporal element such as a measurement time.

  The function of the behavior measuring unit 10 is divided into a function of measuring the passenger's behavior itself and a function of measuring an event or event that affects the passenger's behavior. As the sensor having the former function, for example, there is a sensor that can be measured as a physical quantity, such as an acceleration sensor described in a first embodiment described later. An example of a sensor having the latter function is a barometric pressure sensor. Barometric pressure sensors can measure atmospheric pressure fluctuations, and climate changes indirectly affect human behavior. The car call estimation unit 30 estimates the passenger's behavior correlated with the change in the atmospheric pressure by learning the actual phenomenon such as the number of people going out and the flow of people decreases because the weather collapses when the atmospheric pressure drops. It becomes possible to do. As sensors having a function of measuring passenger behavior and events as described above, other common sensors include a temperature sensor, a humidity sensor, an illuminance sensor, and a wind speed sensor.

  In the case of a large-scale building, a plurality of elevators are installed in one building and a plurality of elevator control devices are often installed. Conventionally, when elevators are arranged close to each other, for example, when moving to a higher floor by connecting a plurality of elevators installed in a high-rise building, the elevators are arranged adjacent to each other so that passengers can easily transfer. And the elevator was operated using only passenger boarding / exiting floor data, without considering the movement of passengers between elevators.

  On the other hand, in this configuration, a plurality of behavior measuring units 10 installed on each floor (elevator hall, office room, etc.) as the peripheral region 4 can measure the behavior of passengers inside the high-rise building. Therefore, the call estimation unit 30 can estimate a car call that includes not only the boarding / exiting floor but also the number of passengers, and can register the car call in the elevator control devices 20A and 20B. Operation efficiency can be improved.

  Further, even in a minimum configuration in which one elevator is installed in one building, it is possible to improve the operation efficiency of the elevator by estimating the car call based on the behavior of passengers around the building and the elevator. In addition, even in a large-scale configuration where multiple elevators are laid in an area that includes multiple buildings, multiple elevators installed in multiple buildings are linked to operate elevators throughout the area. Efficiency can be improved.

  In the elevator system 1, a car call for a car that can move in the vertical direction is registered according to the behavior of the passenger. However, the object for registering the car call is not limited to the car, and may be other moving devices (escalator, vehicle, etc.).

  Moreover, although the behavior measurement part 10, elevator control apparatus 20A, 20B, and the memory | storage device 40 are connected with respect to the car call estimation part 30 so that communication is possible, the connection form is not this limitation.

  In FIG. 1, two elevator control devices 20 </ b> A and 20 </ b> B are configured on the premise that one elevator is provided for each of the building 2 </ b> A and the building 2 </ b> B, but the number is not limited to two. Even in the case of one elevator, the car call estimation unit 30 can estimate a car call to be generated in the future based on the behavior of the passenger measured by the behavior measurement unit 10, so that the operation efficiency of the elevator can be improved.

[First Embodiment]
The connection configuration between the behavior measurement unit 10 and the car call estimation unit 30 included in the elevator system 1 described above can take various forms. Each embodiment will be described below.

First, an elevator system according to a first embodiment of the present invention will be described.
FIG. 4 is a block diagram illustrating an internal configuration example of the elevator system 1A. Here, as an example of the behavior measurement unit 10, the behavior measurement unit 10 is applied to a smartphone 11 that is an example of an electronic device carried by a passenger. However, in addition to the smartphone 11, an electronic device that can be carried by a passenger, such as a tablet terminal, a notebook PC (Personal Computer), or a wearable terminal, may be used as an example of the behavior measuring unit 10.

  The smartphone 11 includes an acceleration sensor 12, a gyro sensor 13, and a position measurement sensor 14. The acceleration sensor 12, the gyro sensor 13, and the position measurement sensor 14 are also collectively referred to as “built-in sensor”.

The acceleration sensor 12 detects the acceleration of the smartphone 11 accompanying the movement of the smartphone 11.
The gyro sensor 13 detects the angular velocity of the smartphone 11 accompanying the rotation of the smartphone 11.
The position measurement sensor 14 measures the current position of the smartphone 11, that is, the current position of the passenger, using GPS (Global Positioning System). In the position measurement sensor 14, the current position of the smartphone 11 is represented by position information including, for example, latitude and longitude.

The smartphone 11 can wirelessly communicate with other devices, access points, and the like by a plurality of standardized wireless communication methods. The smartphone 11 is connected to the car call estimation unit 30 while it is present in the peripheral area 4 shown in FIG. 1. The acceleration measured by the acceleration sensor 12, the angular velocity measured by the gyro sensor 13, and the position measurement sensor 14 are measured. The behavior data including the position information is transmitted. The car call estimation unit 30 that has received the behavior data can grasp the number of passengers, the moving speed, and the moving direction from the acceleration, angular velocity, and position information. For this reason, it can be said that the behavior data includes the number of passengers, the moving speed, and the moving direction. As shown in FIG. 14 to be described later, the smartphone 11 can also be connected to the elevator control devices 20A and 20B to transmit behavior data.
The communication path between the smartphone 11 and another device is not limited to that shown in FIG. 4, and the configuration is appropriately changed according to the communicable distance of the communication unit mounted on the smartphone and the network topology.

  The car call estimation unit 30 receives elevator operation data controlled by the elevator control devices 20A and 20B and current behavior data from the smartphone 11 directly or via the elevator control devices 20A and 20B. And the car call estimation part 30 estimates a car call using the learning result read from the memory | storage device 40 based on behavior data, operation data, and boarding / alighting data. The car call estimation unit 30 determines, for example, whether a passenger joins or leaves the traffic flow in the peripheral region 4 from the building 2A toward the building 2B based on the passenger behavior estimated from the behavior data. And the car call estimation part 30 estimates the car call of the elevator which the passenger who carries the smart phone 11 uses after arbitrary time. And the car call estimation part 30 determines whether a passenger uses an elevator from the estimated passenger's behavior, and registers a car call in the elevator controller 20A that controls the elevator used by the passenger. Further, the car call estimation unit 30 stores the learning result in the storage device 40, and when newly receiving behavior data, reads the learning result from the storage device 40, thereby increasing the estimation accuracy of the car call. Can be improved.

Next, the hardware configuration of the computer C configuring each device of the elevator system 1A will be described.
FIG. 5 is a block diagram illustrating a hardware configuration example of the computer C.

  The computer C is hardware used as a so-called computer. The computer C includes a CPU (Central Processing Unit) C1, a ROM (Read Only Memory) C2, and a RAM (Random Access Memory) C3 connected to the bus C4. Further, the computer C includes a display unit C5, an operation unit C6, a nonvolatile storage C7, and a network interface C8.

  The CPU C1 reads out the program code of software that implements each function according to the present embodiment from the ROM C2, and executes it. In the RAM C3, in addition to variables and parameters generated during the arithmetic processing, a door opening / closing instruction for the car door is temporarily written. The door opening / closing instruction includes either a door opening instruction for opening the car door or a door closing instruction for closing the car door. In the following description, opening or closing a car door is also abbreviated as “door opening / closing”.

  The display unit C5 is, for example, a liquid crystal display monitor, and displays the results of processing performed by the computer C to the passenger. For example, a keyboard, a mouse, or the like is used for the operation unit C6, and a passenger can perform predetermined operation inputs and instructions. Note that the display unit C5 and the operation unit C6 of the smartphone 11 are used as a touch panel display in an overlapping manner. In the elevator control devices 20A and 20B, the display unit C5 is used as a display panel for displaying the registered destination floor, and the operation unit C6 is used as a touch panel sensor for registering the destination floor. Note that the car call estimation unit 30 may not include the display unit C5 and the operation unit C6.

  As the nonvolatile storage C7, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flexible disk, an optical disk, a magneto-optical disk, a CD-ROM, a CD-R, a magnetic tape, a nonvolatile memory, or the like is used. It is done. In addition to the OS (Operating System) and various parameters, a program for causing the computer C to function is recorded in the nonvolatile storage C7. The storage device 40 is configured by a nonvolatile storage C7. Note that the smartphone 11, the elevator control devices 20A and 20B, and the car call estimation unit 30 may include the nonvolatile storage C7.

  For example, a network interface card (NIC) or the like is used as the network interface C8, and various types of data can be transmitted / received via a LAN (Local Area Network) to which a terminal is connected, a dedicated line, or the like. The smartphone 11 performs wireless communication with other devices, an access point (not shown), and the like via the network interface C8. Moreover, elevator control apparatus 20A, 20B performs wireless communication with the smart phone 11 via the network interface C8, or performs wired communication with the car call estimation part 30. However, the elevator control devices 20A and 20B may perform wireless communication with the car call estimation unit 30 via the network interface C8.

Next, a car call estimation method performed by the elevator system 1A will be described.
FIG. 6 is a flowchart showing an operation example of the elevator system 1A. This flowchart shows an operation example in which the car call estimation unit 30 learns the operation state of the elevator based on behavior data, operation data, and boarding / alighting data. In this process, it is assumed that the smartphone 11, the car call estimation unit 30, and the elevator control devices 20A and 20B cooperate to perform a series of operations.

  While the passenger is in the peripheral area 4 shown in FIG. 1, the smartphone 11 can directly communicate with the car call estimation unit 30. The acceleration sensor 12 included in the smartphone 11 measures acceleration, the gyro sensor 13 measures angular velocity, and the position measurement sensor 14 measures position information (S1). Then, the smartphone 11 transmits the acceleration, angular velocity, and position information as behavior data to the car call estimation unit 30 (S2). After transmitting the behavior data, the smartphone 11 returns to step S1 and repeats the sensor measurement again.

  Similarly, the elevator control device 20A performs sensor measurement using a touch sensor that constitutes a car call button or the like (S3). The data measured by the elevator controller 20A is transmitted to the car call estimation unit 30 as operation data and boarding / alighting data (S4). After transmitting operation data and boarding / alighting data, the elevator controller 20A returns to step S3 and repeats sensor measurement. The elevator control device 20B performs the same processing as steps S3 and S4 performed by the elevator control device 20A.

  The car call estimation unit 30 receives behavior data from the smartphone 11, receives operation data and boarding / alighting data from the elevator control devices 20A and 20B (S5), and stores the received data in the storage device 40 (S6). Next, the car call estimation unit 30 executes a learning process based on the data stored in the storage device 40 (S7), and stores the learning result in the storage device 40. And the car call estimation part 30 returns to step S5 after a learning process, and repeats reception of behavior data.

  FIG. 7 is a flowchart showing an operation example in which the elevator system 1A registers a car call based on the learning result stored in FIG. In this processing, it is assumed that the passenger heads from the building 2A to the building 2B.

  Since the process of step S11, S12 performed by the smart phone 11 is the same as the process of step S1, S2 of FIG. 6, detailed description is abbreviate | omitted.

  The car call estimation unit 30 receives behavior data from the smartphone 11 (S13), and stores the behavior data in the storage device 40 (S14). Next, the car call estimation unit 30 reads the learning result stored in the learning process shown in FIG. 6 from the storage device 40, and estimates the passenger behavior based on the learning result (S15).

  Next, the car call estimation unit 30 determines whether or not the behavior of the passenger is a behavior corresponding to the car call (S16). When the behavior of the passenger is not the behavior corresponding to the car call, the car call estimation unit 30 returns to step S13 and repeats the process of receiving the behavior data. The behavior that does not correspond to the car call is, for example, a case where a passenger who has left the building 2A moves to another place without going to the building 2B.

  When the behavior of the passenger is a behavior corresponding to a car call, the car call estimation unit 30 transmits a car call registration request to the elevator control device 20B that controls the operation of the car determined to be boarded by the passenger (S17). . The behavior corresponding to the car call is, for example, a case where a passenger leaving the building 2A heads for the building 2B.

When the elevator controller 20B receives the car call registration request transmitted from the car call estimating unit 30 (S18), it actually registers the car call (S19). Thereby, the passenger who arrived at the building 2B can get on the already-arrived car and go to the destination floor. Thereafter, the elevator control device 20B returns to step S18 and repeats reception of the car call registration.
In addition, when a passenger leaves the building 2B, goes to the building 2A, and uses the elevator of the building 2A, the processing of steps S18 and S19 is performed by the elevator control device 20A.

  In the elevator system 1A according to the first embodiment described above, the behavior of the passenger whose built-in sensor of the smartphone 11 moves between a plurality of elevators by using the smartphone 11 carried by the passenger as the behavior measuring unit 10. Measure. Then, the car call estimation unit 30 pre-registers the car call estimated based on the number of passengers and the behavior of the passengers in the elevator control device 20B at the destination of the passengers. Thereby, the passenger can reduce the waiting time until the car arrives. Thus, since the elevator system 1A can perform optimum operation control for an individual by estimating a call based on the behavior of the passenger, the elevator system 1A can efficiently control the operation of the elevator.

[Second Embodiment]
Next, an elevator system according to a second embodiment of the present invention will be described.
FIG. 8 is a block diagram illustrating an internal configuration example of the elevator system 1B.

  The elevator system 1B includes, as an example of the behavior measurement unit 10, in addition to the elevator control devices 20A and 20B, the car call estimation unit 30, and the storage device 40, the car reservation devices 16A and 16B installed in the peripheral area 4 shown in FIG. Is provided. The car reservation device 16A is connected to the elevator control device 20A, and the car reservation device 16B is connected to the elevator control device 20B.

  The car reservation devices 16A and 16B are used by passengers to register reservations for elevator car calls installed in the buildings 2A and 2B, and include a user interface for passengers to reserve destination floors. For example, when a passenger inputs a destination floor through the car reservation device 16A, an elevator machine having a car arriving at the input destination floor is displayed on the car reservation device 16A. For this reason, the passenger can get into the car of the number machine displayed on the car reservation apparatus 16A.

  As described above, the car reservation device 16A transmits the reservation for the car call including the destination floor to the elevator control device 20A, and registers the reservation for the car call in the elevator control device 20A. For this reason, the car reservation device 16A measures the destination floor information based on the destination floor input by the passenger and the information on the number of passengers as behavior data. This behavior data includes a car call reserved from the car reservation device 16A. However, since there are passengers who enter the car without inputting to the car reservation device 16A, the information on the number of passengers included in the behavior data is not always accurate. Then, the car reservation device 16A generates behavior data that combines destination floor information and the number of passengers at a certain time, and transmits this behavior data to the elevator control device 20A.

  The elevator control device 20A registers a normal car call based on the car call reservation registration received from the car reservation device 16A. Further, the elevator control device 20A transmits the behavior data received from the car reservation device 16A to the car call estimation unit 30.

  The car call estimation unit 30 estimates the elevator car call used by the passenger using the car reservation device 16A based on the behavior of the passenger estimated from the behavior data. Here, the elevator from which the car call is estimated is not an elevator control device 20A but an elevator controlled by the elevator control device 20B. Then, the car call estimation unit 30 stores the behavior data in the storage device 40. The car call estimation unit 30 collectively processes the learning results learned in the past and the latest behavior data, thereby estimating a more accurate number of passengers and transmitting the car call to the elevator controller 20B. The elevator control device 20B registers the car call received from the car call estimation unit 30. Thereby, a passenger can utilize the elevator of the building 2B.

  The operations of the car reservation device 16B and the elevator control device 20B are the same as the operations of the car reservation device 16A and the elevator control device 20A. When the passenger inputs the destination floor using the car reservation device 16B, the car call estimated by the car call estimation unit 30 is transmitted to the elevator control device 20A, and the elevator control device 20A registers the car call.

Next, a car call estimation method performed by the elevator system 1B will be described.
FIG. 9 is a flowchart illustrating an operation example of the elevator system 1B. In this processing, it is assumed that the car reservation device 16A, the elevator control device 20A, and the car call estimation unit 30 perform a series of operations in cooperation.

  First, the car reservation device 16A measures input contents through buttons and a touch panel as a user interface for a passenger to reserve a destination floor (S21). Next, the car reservation device 16A transmits destination floor reservation data as behavior data to the elevator control device 20A (S22). The destination floor reservation data includes a car call reservation. After completing the transmission of the destination floor reservation data, the car reservation device 16A returns to step S21 and waits for passenger input.

  When the elevator control device 20A receives the destination floor reservation data from the car reservation device 16A (S23), the elevator control device 20A arranges the destination floor reservation together with the existing destination floor reservation (S24). For example, after a passenger who uses the car reservation device 16A first reserves the fourth floor, a passenger who uses the car reservation device 16A second may also reserve the fourth floor. In this case, the elevator control device 20A arranges the reserved destination floors so that the two records have the fourth floor instead of the two records. The process of grouping overlapping destination floors into one record in this way is called “arrangement”.

After step S24, the elevator controller 20A transmits the destination floor reservation data to the car call estimation unit 30 (S25). After completing the transmission of the destination floor reservation data, the elevator control device 20A returns to step S23 and waits for reception of the destination floor reservation data.
The car reservation device 16B and the elevator control device 20B can perform the same processing as steps S21 to S25 performed by the car reservation device 16A and the elevator control device 20A.

  When the car call estimation unit 30 receives the destination floor reservation data from the elevator control device 20A (S26), the car call estimation unit 30 stores the destination floor reservation data in the storage device 40 (S27). Then, the car call estimation unit 30 executes a learning process based on the stored destination floor reservation data (S28), and stores the learning result in the storage device 40. After the learning process, the car call estimation unit 30 returns to step S26 and waits for reception of destination floor reservation data.

  FIG. 10 is a flowchart illustrating an operation example in which the elevator system 1B registers a car call based on the learning result stored in FIG. In this processing, it is assumed that the passenger heads from the building 2A to the building 2B.

  Since the processing of steps S31 to S37 performed by the car reservation device 16A, the elevator control device 20A, and the car call estimation unit 30 is the same as the processing of steps S21 to S27 in FIG. 9, detailed description thereof is omitted.

  After the destination floor reservation data is stored in the storage device 40 in step S37, the car call estimation unit 30 reads the learning result from the storage device 40 and estimates the behavior of the passenger (S38). Next, the car call estimation unit 30 determines whether or not the behavior of the passenger is a behavior corresponding to the car call (S39). If the behavior of the passenger is not the behavior corresponding to the car call, the car call estimation unit 30 returns to step S36 and waits for reception of the destination floor reservation data. When the behavior of the passenger is a behavior corresponding to the car call, the car call estimation unit 30 requests the car call registration to the elevator control device 20B that controls the operation of the elevator of the building 2B that is determined to be boarded by the passenger. Destination floor reservation data is transmitted (S40).

  When the elevator control device 20B receives the destination floor reservation data from the car call estimation unit 30 (S41), it actually registers the car call (S42). Thereby, the passenger who goes to the building 2B from the building 2A can use the elevator of the building 2B. Thereafter, the elevator control device 20A returns to step S33 and waits for reception of destination floor reservation data.

[Third embodiment]
Next, an elevator system according to a third embodiment of the present invention will be described.
FIG. 11 is a block diagram illustrating an internal configuration example of the elevator system 1C.

  1 C of elevator systems are equipped with the security gate 17 installed in the peripheral region 4 shown in FIG. 1 as an example of the behavior measurement part 10 in addition to the elevator control apparatuses 20A and 20B, the car call estimation part 30, and the storage device 40. The security gate 17 is connected to the elevator control devices 20A and 20B and the car call estimation unit 30, and restricts the movement of passengers.

  When the passenger carries an electronic device such as a non-contact ID card, when the electronic device approaches the reading unit of the security gate 17, the reading unit reads authentication information such as an ID from the electronic device. Then, the security gate 17 authenticates the passenger based on the authentication information, and controls the flow of the passenger by permitting or not permitting the passage of the security gate 17. The car call estimation unit 30 can use behavior data indicating that the passenger has passed the security gate 17. For example, the security gate 17 measures the number of passengers who have passed through the security gate 17, and the number of passengers is used as behavior data. The moving direction of the passenger is determined by the direction in which the passenger has passed through the security gate 17. For this reason, the security gate 17 can grasp | ascertain the moving direction of the passenger who moved to the direction of the building 2A from the building 2B, and the passenger who moved to the direction of the building 2A from the building 2B.

  In addition, the electronic device carried by the passenger can store the destination floor registration data in which the destination floor regularly used by the passenger is registered in the authentication information. For this reason, when a passenger passes security gate 17, security gate 17 can measure a passenger's destination floor, and can also include this destination floor in behavior data. Then, the security gate 17 transmits the behavior data to the elevator control devices 20A and 20B and the car call estimation unit 30.

  The car call estimation unit 30 stores the received behavior data in the storage device 40. Further, the car call estimation unit 30 processes the behavior data stored in the storage device 40 in the past and the latest behavior data together to estimate the exact number of passengers and the destination floor, and the elevator used by the passengers. Is transmitted to any one of the elevator control devices 20A and 20B.

  In the elevator system 1C configured as described above, for example, if a floor where a certain passenger goes to work is registered in the destination floor registration data as a destination floor, the passenger simply passes the security gate 17 when going to work. A car call to is registered. However, when the destination floor registration data is stored in the electronic device, if there is no car call estimation unit 30 in the elevator system 1C, it is pre-registered in the destination floor registration data when the passenger passes the security gate 17. Car call registration to the destination floor is always performed.

  However, the passenger may get off on a different floor from the floor pre-registered in the destination floor registration data at a time other than when going to work. In this case, the car call estimation unit 30 generates a car call to a destination floor other than the pre-registered registration floor, which is estimated from the actual results in a time zone other than the time of attendance based on the correlation between the time and the destination floor. It becomes possible to make it.

Next, a car call estimation method performed by the elevator system 1C will be described.
FIG. 12 is a flowchart illustrating an operation example of the elevator system 1C. In this process, it is assumed that the security gate 17, the elevator control device 20A, and the car call estimation unit 30 perform a series of operations in cooperation.

  First, the security gate 17 measures authentication information of the ID card through the reading unit (S51). This measurement includes processing such as authentication information authentication. Hereinafter, the process will be described assuming that the authentication result of the authentication information is permitted to pass through the security gate 17.

  Next, the security gate 17 transmits destination floor reservation data for one person as behavior data to the elevator control device 20A (S52). The destination floor reservation data includes a car call reservation. After completing the transmission of the destination floor reservation data, the security gate 17 returns to step S51 and waits for passenger input.

  When the elevator control device 20A receives the destination floor reservation data from the security gate 17 (S53), the elevator control device 20A arranges the destination floor reservation together with the existing destination floor reservation (S54). Then, the elevator control device 20A transmits the destination floor reservation data to the car call estimation unit 30 (S55). After completing the transmission of the destination floor reservation data, the elevator control device 20A returns to step S53 and waits for reception of the destination floor reservation data.

When the car call estimation unit 30 receives the destination floor reservation data from the elevator controller 20A (S56), the car call estimation unit 30 stores the destination floor reservation data in the storage device 40 (S57). Then, the car call estimation unit 30 executes a learning process based on the stored destination floor reservation data (S58), and stores the learning result in the storage device 40. After the learning process, the car call estimation unit 30 returns to step S56 and waits for reception of destination floor reservation data.
The security gate 17 and the elevator control device 20B perform the same processing as steps S51 to S55 performed by the security gate 17 and the elevator control device 20A.

  FIG. 13 is a flowchart showing an operation example in which the elevator system 1C registers a car call based on the learning result stored in FIG. In this processing, it is assumed that the passenger heads from the building 2A to the building 2B.

  Since the processing of steps S61 to S67 performed by the security gate 17, the elevator control device 20A, and the car call estimation unit 30 is the same as the processing of steps S51 to S57 of FIG. 12, detailed description thereof is omitted.

  After the destination floor reservation data is stored in step S67, the car call estimation unit 30 reads the learning result from the storage device 40 and estimates the passenger's behavior (S68). Next, the car call estimation unit 30 determines whether or not the behavior of the passenger is a behavior corresponding to the car call (S69). If the behavior of the passenger is not the behavior corresponding to the car call, the car call estimation unit 30 returns to step S66 and waits for receiving destination floor reservation data. When the behavior of the passenger is a behavior corresponding to a car call, the car call estimation unit 30 transmits a car call registration request to the elevator control device 20B that controls the operation of the elevator of the building 2B that is determined to be boarded by the passenger. (S70).

  When the elevator control device 20B receives the car call registration request transmitted from the car call estimation unit 30 (S71), it actually registers the car call (S72). Thereby, the passenger who goes to the building 2B from the building 2A can use the elevator of the building 2B. Thereafter, the elevator control device 20A returns to step S63 and waits for reception of destination floor reservation data.

[Fourth Embodiment]
Next, an elevator system according to a fourth embodiment of the present invention will be described.
FIG. 14 is a block diagram illustrating an internal configuration example of the elevator system 1D.

  Similarly to the elevator system 1A, the elevator system 1D includes a smartphone 11, elevator control devices 20A and 20B, a car call estimation unit 30, and a storage device 40. The smartphone 11 is connected to the elevator control devices 20A and 20B. The smartphone 11 includes an application 18 that automatically registers a car call, and is used as an example of the behavior measurement unit 10.

  Here, when the smartphone 11 approaches the elevator control device 20A, the smartphone 11 may be connected to the elevator control device 20A only in some cases. At this time, the smartphone 11 performs data transmission / reception with the elevator control device 20A. For example, when a passenger carrying the smartphone 11 approaches an elevator whose operation is controlled by the elevator control device 20A, the application 18 wirelessly transmits behavior data including the destination floor to the elevator control device 20A. The elevator controller 20 </ b> A organizes the received behavior data and transmits the behavior data to the car call estimation unit 30. The car call estimation unit 30 registers the car call in the elevator control device 20B that controls the elevator used by the passenger determined based on the behavior of the passenger estimated from the behavior data.

  Moreover, when the passenger who carries the smart phone 11 moves to the vicinity which can be communicably connected with the elevator control apparatus 20B, the smart phone 11 transmits behavior data to the elevator control apparatus 20B. The behavior data is stored in the storage device 40 after being used for estimating a car spare by the car call estimation unit 30.

  However, the smartphone 11 and the elevator control devices 20A and 20B may communicate through the Internet, for example. In this case, the smartphone 11 can communicate with the elevator control devices 20A and 20B regardless of whether the smartphone 11 is near the elevator control devices 20A and 20B.

Next, a car call estimation method performed by the elevator system 1D will be described.
FIG. 15 is a flowchart illustrating an operation example of the elevator system 1D. In this process, it is assumed that the smartphone 11, the elevator control device 20A, and the car call estimation unit 30 perform a series of operations in cooperation.

  While the passenger is in the peripheral area 4 shown in FIG. 1, the smartphone 11 can directly communicate with the car call estimation unit 30. The acceleration sensor 12 included in the smartphone 11 measures acceleration, the gyro sensor 13 measures angular velocity, and the position measurement sensor 14 measures position information (S81). Then, the smartphone 11 transmits behavior data including acceleration, angular velocity, and position information to the elevator control device 20A (S82). This behavior data includes destination floor reservation data preset by the application 18. After transmitting the behavior data, the smartphone 11 returns to step S81 and repeats the sensor measurement again.

When the elevator control device 20A receives the behavior data from the smartphone 11 (S83), the elevator control device 20A arranges the destination floor reservation together with the existing destination floor reservation based on the destination floor reservation data included in the behavior data (S84). Then, the elevator control device 20A transmits behavior data including destination floor reservation data to the car call estimation unit 30 (S85). The elevator control device 20A ends the transmission of the behavior data including the destination floor reservation data, and then returns to step S83 to wait for reception of the behavior data and the destination floor reservation data.
The smartphone 11 and the elevator control device 20B perform the same processing as steps S81 to S85 performed by the smartphone 11 and the elevator control device 20A.

  When the car call estimation unit 30 receives the behavior data including the destination floor reservation data from the elevator control devices 20A and 20B (S86), the car call estimation unit 30 stores the behavior data and the destination floor reservation data in the storage device 40 (S87). Then, the car call estimation unit 30 executes a learning process based on the stored behavior data and the destination floor reservation data (S88), and stores the learning result in the storage device 40. After the learning process, the car call estimation unit 30 returns to step S86 and waits for reception of destination floor reservation data.

  FIG. 16 is a flowchart illustrating an operation example in which the elevator system 1D registers a car call based on the learning result stored in FIG. In this processing, it is assumed that the passenger heads from the building 2A to the building 2B.

  Since the process of step S91-S97 performed by the smart phone 11, the elevator control apparatus 20A, and the car call estimation part 30 is the same as the process of step S81-S87 of FIG. 15, detailed description is abbreviate | omitted.

  After the behavior data and the destination floor reservation data are stored in the storage device 40 in step S97, the car call estimation unit 30 reads the learning result from the storage device 40 and estimates the passenger behavior (S98). Next, the car call estimation unit 30 determines whether or not the behavior of the passenger is a behavior corresponding to a car call (S99). If the behavior of the passenger is not the behavior corresponding to the car call, the car call estimation unit 30 returns to step S96 and waits for receiving the destination floor reservation data. In the present embodiment, the behavior that does not correspond to the car call is, for example, that the car reservation registered in the car reservation device 16A has been canceled or the car reservation device 16A is registered by learning past behavior data. This includes the fact that passengers did not get off at the destination floor of the Takago reservation.

  When the behavior of the passenger is a behavior corresponding to a car call, the car call estimation unit 30 makes a destination floor reservation for requesting car call registration to the elevator control device 20B that controls the operation of the car determined to be boarded by the passenger. Data is transmitted (S100).

  When the elevator control device 20B receives the destination floor reservation data transmitted from the car call estimation unit 30 (S101), it actually registers the car call (S102). Thereby, the passenger who goes to the building 2B from the building 2A can use the elevator of the building 2B. Thereafter, the elevator control device 20A returns to step S93 and waits for reception of destination floor reservation data.

[Fifth Embodiment]
Next, an elevator system according to a fifth embodiment of the present invention will be described.
FIG. 17 is a block diagram illustrating an internal configuration example of the elevator system 1E.

  The elevator system 1E includes, as an example of the behavior measurement unit 10, in addition to the elevator control devices 20A and 20B, the car call estimation unit 30, and the storage device 40, stereo cameras 50A and 50B installed in the peripheral region 4 shown in FIG. Prepare. Stereo cameras 50 </ b> A and 50 </ b> B are connected to car call estimation unit 30. The stereo cameras 50A and 50B are used as an example of a three-dimensional measuring unit that measures the number of passengers, the moving speed, and the moving direction based on the shape and distance of the passengers. A camera that can capture a two-dimensional image may be used instead of the stereo cameras 50A and 50B that can capture a three-dimensional image. Stereo cameras 50A and 50B may capture either moving images or still images.

  The stereo cameras 50A and 50B can recognize the shape of the captured subject (object) and can accurately measure the distance to the subject. Therefore, the stereo cameras 50 </ b> A and 50 transmit behavior data including the number of passengers, passenger movement speed, and passenger movement direction to the car call estimation unit 30 based on the shape and distance of the subject, respectively. The car call estimation unit 30 can estimate the number of passengers in the car for each elevator based on the change in behavior data in the imaging areas of the stereo cameras 50A and 50B.

Next, a car call estimation method performed by the elevator system 1E will be described.
FIG. 18 is a flowchart illustrating an operation example of the elevator system 1E. In this process, it is assumed that the stereo camera 50A, the elevator control device 20A, and the car call estimation unit 30 perform a series of operations in cooperation.

  The stereo camera 50A captures a stereo image using the peripheral area 4 as an imaging area (S111). Next, the stereo camera 50A performs predetermined image processing on the stereo image data and detects the number of passengers moving in the peripheral area 4, the moving speed, and the moving direction (S112). Then, the stereo camera 50A transmits behavior data including the detected number of passengers, moving speed, and moving direction to the car call estimating unit 30 (S113). After transmitting the behavior data, the stereo camera 50A returns to step S111 and repeats imaging.

Here, when the elevator control device 20A performs the car call registration by the car call reservation registered by the passenger (S114), the car call registration information is transmitted to the car call estimation unit 30 (S115). For example, when car call registration is performed through the elevator control device 20A in a state where no passenger is imaged by the stereo camera 50A, the elevator control device 20A transmits the car call registration information to the car call estimation unit 30. Thereby, the car call estimation unit 30 can learn a car call registered from a place where the stereo camera 50A has not taken an image.
Stereo camera 50B and elevator control device 20B perform the same processing as steps S111 to S115 performed by stereo camera 50A and elevator control device 20A.

  When the car call estimation unit 30 receives the behavior data from the stereo camera 50A and receives the car call registration information from the elevator controller 20A (S116), the car call estimation unit 30 stores the behavior data and the car call registration information in the storage device 40 (S117). . Then, the car call estimation unit 30 executes a learning process based on the stored behavior data and the car call registration information (S118), and stores the learning result in the storage device 40. After the learning process, the car call estimation unit 30 returns to step S116 and waits for reception of behavior data and car call registration information.

  FIG. 19 is a flowchart illustrating an operation example in which the elevator system 1E registers a car call based on the learning result stored in FIG. In this processing, it is assumed that the passenger heads from the building 2A to the building 2B.

  Since the processes of steps S121 to S125 performed by the stereo camera 50A, the elevator control device 20A, and the car call estimation unit 30 are the same as the processes of steps S111 to S113, S116, and S117 in FIG. .

  After the behavior data is stored in step S125, the car call estimation unit 30 reads the learning result from the storage device 40 and estimates the passenger's behavior (S126). Next, the car call estimation unit 30 determines whether or not the behavior of the passenger is a behavior corresponding to the car call (S127). When the behavior of the passenger is not the behavior corresponding to the car call, the car call estimation unit 30 returns to step S124 and waits for reception of the behavior data. When the behavior of the passenger is a behavior corresponding to a car call, the car call estimation unit 30 transmits a car call registration request to the elevator control device 20B that controls the operation of the car determined to be boarded by the passenger (S128). .

  When the elevator controller 20B receives the car call registration request transmitted from the car call estimating unit 30 (S129), it actually registers the car call (S130). Thereby, the passenger who goes to the building 2B from the building 2A can use the elevator of the building 2B. Thereafter, the elevator control device 20B returns to step S129 and waits for reception of car call registration.

[Sixth Embodiment]
Next, an elevator system according to a sixth embodiment of the present invention will be described.
FIG. 20 is a block diagram illustrating an internal configuration example of the elevator system 1F.

  The elevator system 1F includes, as an example of the behavior measurement unit 10, in addition to the elevator control devices 20A and 20B, the car call estimation unit 30, and the storage device 40, LiDAR (Light Detection and Ranging) installed in the peripheral region 4 shown in FIG. ) 60. The LiDAR 60 is a kind of three-dimensional measuring unit, and measures the shape of the passenger, the distance to the passenger by measuring the reflection of the laser irradiated to the passenger, and measures the number of passengers, the moving speed, and the moving direction 3 Used as an example of a dimension measurement unit.

  Since the LiDAR 60 can recognize a passenger on a plane and generate a three-dimensional map, the LiDAR 60 transmits behavior data including the number of passengers and a movement vector, that is, a movement speed and a movement direction, to the car call estimation unit 30. The car call estimation unit 30 determines whether the passenger joins or leaves the traffic flow in the surrounding area 4 based on the passenger behavior estimated from the behavior data, and estimates the car call. By providing the LiDAR 60, the elevator system 1F has a system configuration equivalent to the elevator system 1E including the stereo cameras 50A and 50B according to the fifth embodiment described above.

[Seventh Embodiment]
Next, an elevator system according to a seventh embodiment of the present invention will be described.
FIG. 21 is a block diagram illustrating an internal configuration example of the elevator system 1G.

  The elevator system 1G is an example of the behavior measurement unit 10 in addition to the elevator control devices 20A and 20B, the car call estimation unit 30 and the storage device 40, and is installed in a peripheral station 4 shown in FIG. An automatic ticket gate 70 is provided. The automatic ticket gate 70 restricts the movement of passengers.

  Here, it is assumed that there is a correlation between the train arrival time, the number of ticket gates and the operation management data after a certain time. Then, the automatic ticket gate 70 transmits behavior data including the number of passengers passing through the automatic ticket gate 70 to the car call estimation unit 30. The car call estimation unit 30 is based on the passenger behavior estimated from the behavior data. For example, when a train arrives, how many car calls are generated on which floor after how much time has passed. Can be estimated. In particular, when going to work (for example, between 8 am and 9 am in the morning), it is considered that the tendency of the car call to be generated is high, so the car call estimation unit 30 can also take a simple correlation analysis method. The elevator system 1G has the same system configuration as the elevator system 1C including the security gate 17 according to the third embodiment described above by providing the automatic ticket gate 70 in the peripheral area 4 shown in FIG. .

[Eighth Embodiment]
Next, an elevator system according to an eighth embodiment of the present invention will be described.
FIG. 22 is a block diagram illustrating an internal configuration example of the elevator system 1H.

  In addition to the elevator control devices 20A and 20B, the car call estimation unit 30, and the storage device 40, the elevator system 1H includes a vehicle allocation system 80 used as a taxi company or the like as an example of the behavior measurement unit 10. The vehicle allocation system 80 is used as an example of a management system that manages movement to a specific elevator by a passenger moving on the lobby floor as the peripheral area 4, for example.

  The vehicle allocation system 80 calls, for example, behavior data including the number of passengers moving in a specific time zone managed by the vehicle allocation system 80 and the destination (for example, the building 2A) when the arrival time is reserved. It transmits to the estimation part 30.

  Based on the passenger behavior estimated from the behavior data, the car call estimation unit 30 determines, for example, whether the passenger joins or leaves the traffic flow in the peripheral area 4 that gets down to the lobby floor by the reservation time, and estimates the car call. . And the car call estimation part 30 can perform registration of the car call which makes a lobby floor a destination from the floor where a reservation person exists with respect to the elevator control apparatus 20A. Further, if the vehicle allocation system 80 can present the arrival time to the car call estimation unit 30, the convenience of the car call estimation unit 30 is enhanced if the car call registration to the lobby floor can be performed by the arrival time, for example.

  Furthermore, the elevator system 1H may take traffic information from road traffic information supplied from the outside, for example, and use the occurrence of delay due to traffic as behavior data of passengers in a car. Then, by canceling the registration of the car call or postponing the car call, the current car can be used for other purposes, so that the operation efficiency of the elevator can be increased. The elevator system 1H has a system configuration equivalent to that of the elevator system 1B including the car reservation devices 16A and 16B according to the second embodiment described above in cooperation with the vehicle allocation system 80.

[Ninth Embodiment]
Next, an elevator system according to a ninth embodiment of the present invention will be described.
FIG. 23 is a block diagram illustrating an internal configuration example of the elevator system 1J.

  The elevator system 1J includes a schedule management system 90 as an example of the behavior measurement unit 10 in addition to the elevator control devices 20A and 20B, the car call estimation unit 30, and the storage device 40. The schedule management system 90 is used as an example of a management system that manages the movement of a building with a conference room to a specific elevator by a passenger moving as a peripheral area 4.

  The schedule management system 90 is, for example, behavior data including the number of passengers moving in a specific time zone managed by the schedule management system 90 and the destination (for example, the building 2B) when the passenger schedule is registered. Is transmitted to the car call estimation unit 30.

  Based on the passenger behavior estimated from the behavior data, the car call estimation unit 30 determines, for example, whether the passenger joins or leaves the traffic flow in the peripheral area 4 from the building 2A toward the building 2B, and estimates the car call. To do. Here, if the schedule management system 90 can detect the meeting start time, registration of a car call is performed in advance from the floor where there are participants to the meeting to the floor where the meeting room is located as the destination floor before the start time. Is possible. When the number of attendees registered in the schedule management system 90 is large, the car call estimation unit 30 can perform registration of a plurality of car calls based on the maximum load weight of the car.

  In addition, the car call estimation unit 30 stores, in the storage device 40, the number of descenders to the floor where the conference room is located before and after the start time of the conference as passenger behavior. Then, the car call estimation unit 30 can estimate the number of getting-outs read from the storage device 40 before the end time of the meeting as the number of passengers, and can execute registration of the car call to the floor with the conference room in advance. Become.

[Tenth Embodiment]
Next, an elevator system according to a tenth embodiment of the present invention will be described.
FIG. 24 is a block diagram illustrating an internal configuration example of the elevator system 1K.

  As shown in the upper part of FIG. 24, the elevator system 1K includes elevator control devices 20A, 20B, and 20C, a car call estimation unit 30, and a storage device 40. FIG. 24 shows that elevator controllers 20A, 20B, and 20C are installed in each of the three adjacent buildings 2A, 2B, and 2C. And the some behavior measurement part 10 shall be installed in the peripheral area | region 4 between the buildings 2B and 2C between the buildings 2A and 2B. The flow of passengers from the building 2A toward the buildings 2B and 2C is referred to as the traffic flow in the peripheral area 4.

Here, the behavior of passengers moving between buildings shown in the lower part of FIG. 24 will be described.
First, eight passengers P1 get off the car installed in the building 2A at time T0, and leave the building 2A.
Eight passengers P1 move from the building 2A to the building 2B. In the middle of movement, two passengers P2 leave from eight passengers P1 at time T1, and six passengers P3 and P4 arrive at the building 2B.
And three passengers P4 board the elevator of the building 2B. For this reason, the passenger who left the building 2B becomes three passengers P3.

Three passengers P3 move from the building 2B to the building 2C. During the movement, one passenger P5 leaves from three passengers P3 at time T3, and two passengers P6 arrive at the building 2C.
Then, two passengers P6 get into the elevator of the building 2C.

  As shown in FIG. 24, eight passengers P1 get off the elevator of the building 2A at time Tn (= T0), and three passengers P4 get on the elevator of the building 2B at time Tn + 2 (= T2). Suppose. In this case, the car call estimation unit 30 can perform an estimation that a car call may occur in the building 2C at time Tn + 2 + f (= T4). Here, Tf represents the time during which the elevator car call can be reliably registered in the building 2C within the time indicated by T4-T2.

  As described above, the car call estimation unit 30 measures a series of behaviors of passengers and increases the accuracy of estimating the car call, whereby the elevator operation efficiency by the elevator control devices 20A to 20C can be improved. In addition, the car call estimation part 30 can estimate a car call also when another passenger joins. For example, when a passenger who has left the building 2B in a specific time zone moves to the building 2C, the car call estimation unit 30 considers the number of passengers joining in this time zone and the moving direction, and the building 2A The car call can be estimated by adding the number of joined passengers to the number of passengers moving to the building 2B. Then, the concept of passenger detachment and merging in the elevator system 1K is also applied to an elevator system according to another embodiment.

The present invention is not limited to the above-described embodiments, and various other application examples and modifications can be taken without departing from the gist of the present invention described in the claims.
For example, the above-described embodiments are detailed and specific configurations of the apparatus and the system in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described. Further, it is possible to replace a part of the configuration of the embodiment described here with the configuration of another embodiment, and further, the configuration of another embodiment is replaced with the configuration of another embodiment. It is also possible to add. Moreover, it is also possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.
Further, the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

  DESCRIPTION OF SYMBOLS 1, 1A-1K ... Elevator system, 3 ... Monitoring center, 4 ... Peripheral area | region, 10 ... Behavior measurement part, 11 ... Smartphone, 30 ... Car call estimation part, 40 ... Memory | storage device, 16A, 16B ... Reservation apparatus, 17 ... Security gate, 18 ... Application, 20A-20C ... Elevator control device, 50A, 50B ... Stereo camera, 60 ... LiDAR, 70 ... Automatic ticket gate, 80 ... Vehicle allocation system, 90 ... Schedule management system

Claims (9)

A behavior measurement unit that measures the behavior of passengers moving around the elevator and outputs behavior data;
An elevator controller that controls the operation of the elevator, and outputs the operation data of the elevator and the boarding / alighting data indicating that the passenger using the elevator has got on and off the car;
A car generated in the elevator using a learning result obtained by learning a relationship between the behavior of the passenger estimated based on the behavior data and the passenger floor / number of passengers based on the operation data and the boarding / alighting data. An elevator system comprising: a car call estimation unit that estimates a call and registers the estimated car call in the elevator control device. The behavior measuring unit is an electronic device carried by the passenger,
The behavior data includes the number of passengers, moving speed, and moving direction,
The car call estimation unit determines the joining or leaving of the passenger with respect to the traffic flow in the surrounding area based on the behavior of the passenger, and the car call of the elevator used by the passenger carrying the electronic device. The elevator system according to claim 1 to estimate. The electronic device transmits the behavior data to the car call estimation unit,
The car call estimation unit determines whether the passenger uses the elevator based on the behavior of the passenger, and registers the car call in the elevator control device that controls the elevator used by the passenger. The elevator system according to claim 2. The electronic device transmits behavior data including a destination floor to the elevator control device,
The elevator control device organizes the behavior data and transmits the behavior data to the car call estimation unit,
The elevator system according to claim 2, wherein the car call estimation unit registers the car call in the elevator control device that controls the elevator used by the passenger determined based on the behavior of the passenger. The behavior measuring unit is a car reservation device that is installed in the peripheral area and registers the reservation of the car call including a destination floor in the elevator control device,
The behavior data includes the car call reserved in the car reservation device,
The elevator system according to claim 1, wherein the car call estimation unit estimates the car call of the elevator used by the passenger using the car reservation device based on the behavior of the passenger. The behavior measuring unit is an automatic ticket gate or a security gate that is installed in the peripheral area and restricts movement of the passenger.
The behavior data includes the number of passengers passing through the automatic ticket gate or the security gate,
The elevator system according to claim 1, wherein the car call estimation unit estimates the car call of the elevator used by the passenger who has passed the automatic ticket gate or the security gate based on the behavior of the passenger. The behavior measuring unit is a three-dimensional measuring unit that is installed in the peripheral area and measures the number of passengers, the moving speed, and the moving direction based on the shape and distance of the passengers.
The behavior data includes the number of passengers, moving speed, and moving direction,
The elevator system according to claim 1, wherein the car call estimation unit determines whether the passenger joins or leaves the traffic flow in the surrounding area based on the behavior of the passenger, and estimates the car call. The behavior measuring unit is a management system that manages movement of the passenger to the specific elevator,
The behavior data includes the number of passengers moving in a specific time zone managed by the management system, and the destination of movement,
The elevator system according to claim 1, wherein the car call estimation unit determines whether the passenger joins or leaves the traffic flow in the surrounding area based on the behavior of the passenger, and estimates the car call. Measuring the behavior of passengers moving around the elevator and outputting behavior data;
Controlling operation of the elevator, outputting operation data of the elevator, and getting on / off data indicating that the passenger using the elevator got on and off the car;
A car generated in the elevator using a learning result obtained by learning a relationship between the behavior of the passenger estimated based on the behavior data and the passenger floor / number of passengers based on the operation data and the boarding / alighting data. Estimating a call and registering the estimated car call in an elevator control device.

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