CN109311622B - Elevator system and car call estimation method - Google Patents

Abstract

A car call estimation unit provided in an elevator system estimates a car call generated in an elevator using a learning result obtained by learning a relationship between a behavior of a passenger moving in a peripheral area of the elevator estimated based on behavior data and an access floor and an access number of the passenger based on operation data and access data of the elevator, and registers the estimated car call in an elevator control device.

Description

Elevator system and car call estimation method

Technical Field

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

Background

In the past, various methods have been discussed to predict the operational needs of an elevator. For example, patent document 1 discloses an elevator system including a device for predicting the occurrence of a car call at each floor of an elevator by using the correlation between car calls at each floor, and performing group management control based on the prediction of the occurrence of a car call of the device.

Prior art documents

Patent document

Patent document 1: japanese laid-open patent publication No. 6-329352

Disclosure of Invention

Problems to be solved by the invention

However, in the elevator system disclosed in patent document 1, even if a car call after a short time in a single elevator can be predicted, operation control in conjunction with other elevators cannot be performed. Therefore, when a passenger moves to a destination floor via a plurality of elevators, when the passenger moving to a middle floor by a certain elevator moves from the middle floor to the destination floor by another elevator, the passenger once stays at the middle floor. In addition, in the elevator system disclosed in patent document 1, since the operation control is performed by selecting the traffic flow based on the general information, it is not possible to perform the operation control appropriately for each moving passenger.

The present invention has been made in view of such a situation, and an object thereof is to predict a car call generated in an elevator and to efficiently perform operation control of the elevator.

Means for solving the problems

An elevator system according to the present invention includes a behavior measuring unit, an elevator control device, and a car call estimating unit.

A behavior measuring unit measures the behavior of passengers moving in the peripheral area of the elevator and outputs behavior data. An elevator control device controls the operation of the elevator and outputs operation data of the elevator and boarding and alighting data indicating that passengers using the elevator get in and out of the car. A car call estimation unit estimates a car call generated in an elevator using a learning result obtained by learning a relationship between a behavior of a passenger estimated based on behavior data and an boarding/landing floor and a boarding/landing number of the passenger based on travel data and boarding/landing data, and registers the estimated car call in an elevator control device.

Effects of the invention

According to the present invention, operation control of elevators is efficiently performed by automatically registering an estimated car call, for example, in a case where a passenger moving between elevators is not aware of it.

Problems, structures, and effects other than those described above will be clarified by the following description of examples.

Drawings

Fig. 1 is an explanatory view showing an example of a building constituting an elevator system according to a basic configuration example of an embodiment of the present invention.

Fig. 2 is a block diagram showing an example of the internal configuration of an elevator system according to a basic configuration example of the embodiment of the present invention.

Fig. 3 is a block diagram showing an example of the learning process of the car call estimation unit according to the basic configuration example of the embodiment of the present invention.

Fig. 4 is a block diagram showing an example of the internal configuration of an elevator system according to a first embodiment of the present invention.

Fig. 5 is a block diagram showing an example of a hardware configuration of a computer according to the first embodiment of the present invention.

Fig. 6 is a flowchart showing an example of the operation of the elevator system according to the first embodiment of the present invention.

Fig. 7 is a flowchart showing an operation example in which the elevator system registers a car call based on the learning result stored in fig. 6.

Fig. 8 is a block diagram showing an example of the internal configuration of an elevator system according to a second embodiment of the present invention.

Fig. 9 is a flowchart showing an example of the operation of an elevator system according to a second embodiment of the present invention.

Fig. 10 is a flowchart showing an operation example in which the elevator system registers a car call based on the learning result stored in fig. 9.

Fig. 11 is a block diagram showing an example of the internal configuration of an elevator system according to a third embodiment of the present invention.

Fig. 12 is a flowchart showing an example of the operation of an elevator system according to a third embodiment of the present invention.

Fig. 13 is a flowchart showing an operation example in which the elevator system registers a car call based on the learning result stored in fig. 12.

Fig. 14 is a block diagram showing an example of the internal configuration of an elevator system according to a fourth embodiment of the present invention.

Fig. 15 is a flowchart showing an example of the operation of an elevator system according to a fourth embodiment of the present invention.

Fig. 16 is a flowchart showing an operation example in which the elevator system registers a car call based on the learning result stored in fig. 15.

Fig. 17 is a block diagram showing an example of the internal configuration of an elevator system according to a fifth embodiment of the present invention.

Fig. 18 is a flowchart showing an example of the operation of an elevator system according to a fifth embodiment of the present invention.

Fig. 19 is a flowchart showing an operation example in which the elevator system registers a car call based on the learning result stored in fig. 18.

Fig. 20 is a block diagram showing an example of the internal configuration of an elevator system according to a sixth embodiment of the present invention.

Fig. 21 is a block diagram showing an example of the internal configuration of an elevator system according to a seventh embodiment of the present invention.

Fig. 22 is a block diagram showing an example of the internal configuration of an elevator system according to an eighth embodiment of the present invention.

Fig. 23 is a block diagram showing an example of the internal configuration of an elevator system according to a ninth embodiment of the present invention.

Fig. 24 is a block diagram showing an example of the internal configuration of an elevator system according to a tenth embodiment of the present invention.

Detailed Description

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

[ basic structural example ]

First, a basic configuration example of an elevator system will be described.

Fig. 1 is an explanatory view showing an example of a building in which an elevator system 1 is configured.

The elevator system 1 shown in fig. 1 estimates a car call generated by a passenger using each elevator based on the behavior of the passenger who enters and exits the elevator provided in each of the buildings 2A and 2B.

In the building 2A, an elevator control device 20A is provided. The elevator control device 20A controls operation (e.g., raising and lowering of a car, opening and closing of doors, and the like) of an elevator provided in the building 2A.

Similarly, an elevator control device 20B is provided in the building 2B. The elevator control device 20B controls the operation of the elevator provided in the building 2B.

In the peripheral area 4 provided between the buildings 2A, 2B, there is a behavior measurement unit 10. The peripheral area 4 is not limited to the space between the buildings 2A and 2B, and may be the outside of the buildings 2A and 2B within a predetermined range centered on the buildings 2A and 2B or the elevator. Further, the peripheral area 4 may be the inside of the buildings 2A, 2B. Further, the peripheral area 4 may be an elevator lobby, a corridor, an office, a conference room, or the like.

The behavior measurement unit 10 measures the behavior of passengers moving between the buildings 2A and 2B, measures the behavior of passengers 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. Further, as an example of the behavior measuring section 10, car reservation devices 16A and 16B (see fig. 8 described later), a security gate 17 (see fig. 11 described later), and the like may be used.

The monitoring center 3 monitors the operation state of the elevators installed in the buildings 2A, 2B. The monitoring center 3 may be provided in either of the buildings 2A, 2B. The monitoring center 3 is provided with a car call estimating unit 30 and a storage device 40.

Fig. 2 is a block diagram showing an example of the internal configuration 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 measuring section 10 measures the behavior of one or more passengers, and transmits the behavior data to the car call estimating section 30. The behavior of the passenger includes, for example, position information, moving speed, and moving direction of the passenger.

The elevator control devices 20A and 20B control the operation of the elevator and output operation data of the elevator and landing data indicating that passengers using the elevator get in and out of the car.

The behavior data includes information such as the number of passengers and the movement vector measured by the behavior measuring unit 10. The operation data includes operation information of the car processed by the elevator control devices 20A and 20B. The boarding/alighting data includes information on what passenger performs a car call operation and rides the car, on which floor the passenger gets on the elevator, and information on which elevator (car) of the car the passenger gets in/out is installed.

The car call estimation unit 30 is connected to the elevator control devices 20A and 20B and the behavior measurement unit 10. The car call estimating section 30 estimates a car call generated in the elevator using a learning result obtained by learning the behavior of the passenger estimated based on the behavior data received from the behavior measuring section 10 and the relationship between the boarding/alighting floor and the boarding/alighting number of the passenger based on the traveling data and the boarding/alighting data. Then, the car call estimating section 30 determines the behavior of the passenger, and registers the estimated car call in the elevator control devices 20A and 20B.

The storage device 40 stores various data such as behavior data and learning results of the car call estimating unit 30.

Here, the learning process of the car call estimating unit 30 will be described.

Fig. 3 is a block diagram showing an example of the learning process of the car call estimating unit 30.

The algorithm used by the car call estimating unit 30 for estimating a car call is represented by, for example, statistical processing, and uses mechanical learning, which is called Neural Network (Neural Network) in the past and is called Deep learning (Deep learning) in the recent past. As shown in fig. 3, the car call estimating unit 30 uses a Deep Neural Network (Deep Neural Network)33 that performs machine learning based on input data. The deep neural network 33 uses, for example, operation data and boarding/alighting data, which are actual results of operation of the elevator control devices 20A and 20B, as the teacher data 31, and uses behavior data output from the behavior measurement unit 10 as the input data 32. The deep neural network 33 performs machine learning for grasping which elevator the passenger uses, on which floor the passenger takes in and out, and how the passenger uses between elevators (including between the buildings 2A and 2B) based on the teacher data 31 and the input data 32. The learning result is saved in the storage device 40.

When new behavior data 34 is input, the deep neural network 33 having completed the machine learning estimates the number of passengers, destination floors, and the like of passengers using a specific elevator based on the behavior data 34 and the learning result read from the storage device 40. Further, the deep neural network 33 outputs estimation data 35 including the estimated number of passengers and the destination floor to any one of the elevator control devices 20A, 20B as the moving destinations of the passengers. The estimated data 35 is used as the car call estimated by the car call estimating section 30. The elevator control devices 20A, 20B can register a car call based on the estimation data 35.

The description returns to fig. 2 again.

The elevator control devices 20A and 20B process operation data obtained by combining the generation timing of the car call, the departure floor, and the arrival floor, for example. The elevator control devices 20A and 20B manage detailed boarding and alighting data, such as which floor passengers get on and off the elevator.

The car call estimation unit 30 analyzes the behavior data, the travel data, and the boarding/alighting data, and estimates a destination floor corresponding to at least a car call at any time.

The behavior measurement section 10 is a device that measures the number of specific objects (persons, etc.), the speed and the direction of the specific objects. The behavior measurement unit 10 may be a single component or a composite component in which a plurality of sensors or a plurality of types of sensors are combined. In general, behavior data including a value measured by the behavior measurement unit 10 is combined with a time factor such as a measurement time.

The function of the behavior measurement section 10 is classified into a function of measuring the behavior itself of the passenger and a function of measuring factors and events that affect the behavior of the passenger. As a sensor having the former function, for example, there is a sensor capable of measuring a physical quantity, such as an acceleration sensor described in the first embodiment described later. As a sensor having the latter function, for example, an air pressure sensor is known. The air pressure sensor can measure the change of air pressure, and indirectly influences the action of people through the change of climate. If the air pressure is reduced, the weather is bad, and therefore, the number of people who go out is reduced, and the car call estimation unit 30 can estimate the behavior of the passenger related to the air pressure change by learning the actual phenomenon such as the reduction of the passenger flow rate. As a sensor having a function of measuring such factors and events affecting the behavior of passengers, there are a temperature sensor, a humidity sensor, an illuminance sensor, and a wind speed sensor as other general sensors.

In the case of a large-scale building, a plurality of elevators and a plurality of elevator control devices are installed in one building in many cases. For example, when a passenger moves from a low floor to a high floor by riding on a plurality of elevators installed in a high-rise building in succession, the elevators are adjacently disposed so that the passenger can easily ride on the elevators in succession. Thus, regardless of the movement of passengers between elevators, only the boarding and disembarking data of passengers is used to operate the elevators.

On the other hand, in the present configuration, the behavior measuring units 10 provided at each floor (elevator lobby, office, etc.) as the peripheral area 4 can measure the behavior of passengers inside the high-rise building. Therefore, the call estimating unit 30 can estimate a car call generated by including not only the number of passengers on/off the landing floor but also the number of passengers on/off the landing floor and register the car call in the elevator control devices 20A and 20B, and can improve the operation efficiency of the elevator as compared with the conventional one.

In addition, even in a minimum structure in which one elevator is provided in one building, it is possible to improve the operation efficiency of the elevator by estimating the car call based on the behavior of the building and the passengers around the elevator. In addition, even in a large-scale structure in which a plurality of elevators in a region including a plurality of buildings are laid, the plurality of elevators provided in the plurality of buildings can be made to cooperate, and the operation efficiency of the elevators in the entire region can be improved.

In the elevator system 1, a car call to a car that can move in the up-down direction is registered in accordance with the behavior of the passenger. However, the object to register the car call is not limited to the car, and may be another moving device (an escalator, a vehicle, or the like).

The behavior measuring unit 10, the elevator control devices 20A and 20B, and the storage device 40 are communicably connected to the car call estimating unit 30, but the connection method is not limited to this.

In fig. 1, two elevator control devices 20A and 20B are configured as a premise that one elevator is installed in each of the buildings 2A and 2B, but the present invention is not limited to two devices. Even in one elevator, the car call estimating section 30 can estimate a car call to be generated in the future based on the behavior of the passenger measured by the behavior measuring section 10, and therefore, the operation efficiency of the elevator can be improved.

[ first embodiment ]

The connection structure between the behavior measuring unit 10 and the car call estimating unit 30 provided in the elevator system 1 can be implemented in various ways. The following examples are described.

First, an elevator system according to a first embodiment of the present invention will be described. Fig. 4 is a block diagram showing an example of the internal configuration of the elevator system 1A. Here, a smartphone 11, which is an example of an electronic device carried by a passenger, is used as an example of the behavior measurement unit 10. However, 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 measurement section 10, in addition to the smartphone 11.

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 sensors".

The acceleration sensor 12 detects the acceleration of the smartphone 11 accompanying the movement of the smartphone 11.

The gyro sensor 13 detects an 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, i.e., the current position of the passenger, using a GPS (Global Positioning System). For the position measurement sensor 14, the current position of the smartphone 11 is represented by position information including latitude and longitude, for example.

The smartphone 11 can wirelessly communicate with other devices, access points, and the like by a plurality of wireless communication methods standardized in specifications. While the smartphone 11 is present in the peripheral area 4 shown in fig. 1, the smartphone is connected to the car call estimating unit 30 in a communication manner, and transmits behavior data including acceleration measured by the acceleration sensor 12, angular velocity measured by the gyro sensor 13, and position information measured by the position measuring sensor 14. The car call estimation unit 30 can grasp the number of passengers by the number of received behavior data, and grasp the moving speed and moving direction of each passenger by the acceleration, angular velocity, and position information included in the behavior data. Therefore, 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, the smartphone 11 is also connected to the elevator control devices 20A and 20B for communication, and transmits behavior data.

The communication path between the smartphone 11 and another device is not limited to fig. 4, and the configuration may be appropriately changed according to the communicable distance and network/topology of a communication unit, not shown, mounted on the smartphone 11.

The car call estimation unit 30 receives operation data and boarding/alighting data of the elevator from the elevator control devices 20A and 20B, and receives current behavior data from the smartphone 11 directly or via the elevator control devices 20A and 20B. Also, the car call estimating section 30 estimates a car call using a learning result read from the storage device 40 based on the behavior data, the traveling data, and the boarding/alighting data. The car call estimation section 30 determines, for example, merging or separation of passengers with respect to a traffic flow from the building 2A to the peripheral area 4 of the building 2B based on the behavior of the passengers estimated from the behavior data. Then, at an arbitrary timing later, the car call estimating section 30 estimates a car call of an elevator to be used by the passenger carrying the smartphone 11. Then, the car call estimating section 30 determines whether or not the passenger wants to use the elevator from the estimated behavior of the passenger, and registers the car call in the elevator control device 20A or the elevator control device 20B that controls the elevator that the passenger wants to use. In addition, when the car call estimating unit 30 stores the learning result in the storage device 40 in advance and newly receives behavior data, the learning result is read from the storage device 40, whereby the accuracy of estimating the car call can be improved.

Next, a hardware configuration of the computer C constituting each device of the elevator system 1A will be described.

Fig. 5 is a block diagram showing an example of the hardware configuration of the computer C.

The computer C is hardware serving 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, which are connected to a bus C4, respectively. The computer C further includes a display unit C5, an operation unit C6, a nonvolatile memory C7, and a network interface C8.

The CPU C1 reads and executes the program code of the software that realizes the respective functions relating to the present embodiment from the ROMC2 or the nonvolatile memory C7. The RAM C3 temporarily writes a door opening/closing instruction and the like of the car door in addition to variables and parameters generated during the arithmetic processing. The door opening/closing instruction includes either a door opening instruction to open the car door or a door closing instruction to close the car door. In the following description, opening or closing the car door will also be simply referred to 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, the passenger can perform a predetermined operation input or instruction by using a keyboard, a mouse, or the like for the operation portion C6. The display unit C5 and the operation unit C6 of the smartphone 11 may be superimposed on each other to be used as a touch panel display. In the elevator control devices 20A and 20B, the display unit C5 is used as a display panel for displaying a destination floor for registration, and the operation unit C6 is used as a touch panel sensor for registering the destination floor. The car call estimating unit 30 may not include the display unit C5 and the operation unit C6.

Examples of the nonvolatile memory C7 include hdd (hard Disk drive), ssd (solid State drive), flexible Disk, optical Disk, magneto-optical Disk, CD-ROM, CD-R, magnetic tape, and nonvolatile memory. In addition to the os (operating system) and various parameters, a program for causing the computer C to function is recorded in the nonvolatile memory C7. The storage device 40 is constituted by a nonvolatile memory C7. The smartphone 11, the elevator control devices 20A and 20B, and the car call estimating unit 30 may include a nonvolatile memory C7. The nonvolatile memories C7 and the ROMC2 are used as an example of a computer-readable non-transitory recording medium storing programs to be executed by the devices of the elevator system 1A, the programs being permanently stored in the nonvolatile memory C7.

For the network Interface C8, for example, nic (network Interface card) or the like is used, and various data can be transmitted and received via a lan (local Area network) connected to a terminal, a dedicated line, or the like. The smartphone 11 wirelessly communicates with other devices, an access point not shown, and the like via the network interface C8. The elevator control devices 20A and 20B communicate wirelessly with the smartphone 11 via the network interface C8 or communicate by wire with the car call estimating unit 30. However, the elevator control devices 20A and 20B may communicate with the car call estimating unit 30 wirelessly 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 example of the operation 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 the behavior data, the operation data, and the boarding/alighting data. In this process, it is assumed that the smartphone 11, the car call estimating 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 estimating section 30. The acceleration sensor 12 of 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 to the car call estimating unit 30 as behavior data (S2). After transmitting the behavior data, the smartphone 11 returns to step S1 and repeats the sensor measurements again.

Similarly, the elevator control device 20A performs sensor measurement of a touch sensor constituting a car call button or the like (S3). The data measured by the sensor in the elevator control device 20A is transmitted to the car call estimating unit 30 as the operation data and the boarding/alighting data (S4). After transmitting the operation data and the boarding/alighting data, the elevator control device 20A returns to step S3 and repeats the 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 the behavior data from the smartphone 11, receives the operation data and the 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 estimating unit 30 executes the learning process based on the data stored in the storage device 40 (S7), and stores the learning result in the storage device 40. After the learning process, the car call estimation unit 30 returns to step S5 and repeats the reception of the 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. 6. In this process, it is assumed that the passenger goes from the building 2A to the building 2B.

The processing of steps S11 and S12 by the smartphone 11 is the same as the processing of steps S1 and S2 in fig. 6, and therefore detailed description thereof is omitted.

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

Next, the car call estimating unit 30 determines whether the behavior of the passenger corresponds to a car call (S16). When the behavior of the passenger is not the behavior corresponding to the car call, the car call estimating unit 30 returns to step S13 and repeats the process of receiving the behavior data. The behavior not corresponding to the car call is, for example, a case where the passenger coming out of 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 estimating unit 30 transmits a request for car call registration to the elevator control device 20B that controls the operation of the car determined as the passenger to board (S17). The behavior equivalent to the car call refers to, for example, a case where a passenger coming out of the building 2A goes to the building 2B.

When the elevator control device 20B receives a request for car call registration from the car call estimating unit 30 (S18), a car call is actually registered (S19). Thus, the passenger who arrives at the building 2B can ride the car that has arrived and go to the destination floor. After that, the elevator control device 20B returns to step S18 and repeats the reception of the car call registration.

When the passenger gets out of the building 2B, goes to the building 2A, and uses the elevator of the building 2A, the elevator control device 20A performs the processing of steps S18 and S19.

In the elevator system 1A according to the first embodiment described above, the smart phone 11 carried by the passenger is used as the behavior measuring unit 10, and the built-in sensor of the smart phone 11 measures the behavior of the passenger moving between the plurality of elevators. Then, the car call estimating section 30 transmits a car call estimated based on the number of passengers and the behavior of the passenger to the elevator control device of the destination of the passenger, thereby registering the car call in advance at the destination of the passenger. Therefore, the probability of the arrival of the car increases before the passenger arrives at the elevator at the destination of movement, and the passenger who arrives at the elevator at the destination of movement can immediately take the car. In this way, since the car call is registered while the passenger is moving, it is possible to reduce the waiting time until the car arrives, which is caused by waiting the passenger before the elevator at the destination. In this way, the elevator system 1A can perform the operation control optimal for the passenger by estimating the call based on the behavior of the passenger, and thus can efficiently perform the operation control 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 showing an example of the internal configuration of the elevator system 1B.

The elevator system 1B includes car reservation devices 16A and 16B provided in the peripheral area 4 shown in fig. 1 as an example of the behavior measuring unit 10 in addition to the elevator control devices 20A and 20B, the car call estimating unit 30, and the storage device 40. 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 devices used by passengers to register reservations of car calls of elevators installed in the buildings 2A and 2B, and include user interfaces for the destination floors of the passenger reservations. For example, when the passenger inputs a destination floor through the car reserving device 16A, the car number of the elevator having the car that reaches the input destination floor is displayed on the car reserving device 16A. Therefore, the passenger can get into the car of the elevator with the elevator number displayed on the car reserving device 16A.

In this way, the car reservation device 16A transmits the reservation of the car call including the destination floor to the elevator control device 20A, and registers the reservation of the car call in the elevator control device 20A. Therefore, the car reservation device 16A measures the destination floor information based on the destination floor input by the passenger and the information of the number of passengers as the behavior data. The behavior data includes a car call reserved from the car reservation device 16A. However, since there are passengers who are going to ride the car without being input into the car reservation device 16A, the information of the number of passengers included in the behavior data is not necessarily correct. Then, the car reservation device 16A transmits behavior data obtained by combining the destination floor information at a certain time point and the number of passengers to the elevator control device 20A.

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

Here, it is assumed that the passenger moves to the building 2B and uses the elevator of the building 2B after using the elevator of the building 2A. The car call estimating section 30 estimates a car call of an elevator to be used by the passenger using the car reserving device 16A based on the behavior of the passenger estimated from the behavior data. At this time, the elevator estimated to be called by the car is not the elevator control device 20A but an elevator controlled by the elevator control device 20B. Then, the car call estimating unit 30 stores the behavior data in the storage device 40. The car call estimating unit 30 estimates the correct number of passengers for the passengers using the elevator of the building 2B by performing the inductive processing on the learning result learned in the past and the latest behavior data, and transmits the car call to the elevator control device 20B. The elevator control device 20B registers the car call received from the car call estimating unit 30. Thereby, the passenger can use the elevator of the building 2B.

The operations of the car reserving device 16B and the elevator control device 20B are the same as those of the car reserving 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 section 30 is transmitted to the elevator control device 20B, and the elevator control device 20B registers the car call.

Next, a car call estimation method performed by the elevator system 1B will be described.

Fig. 9 is a flowchart showing an example of the operation of the elevator system 1B. In this process, it is assumed that the car reservation device 16A, the elevator control device 20A, and the car call estimation unit 30 cooperate to perform a series of operations.

First, the car reservation device 16A performs sensor measurement of a button or a touch panel as a user interface for a passenger reservation destination floor (S21). The car reservation device 16A acquires contents input through a button or a touch panel by sensor measurement. Next, the car reservation device 16A transmits destination floor reservation data as behavior data to the elevator control device 20A (S22). In the destination floor reservation data, reservations for car calls are included. After the transmission of the destination floor reservation data is completed, the car reservation device 16A returns to step S21 to wait for the input of the passenger.

When the elevator control device 20A receives the destination floor reservation data from the car reservation device 16A (S23), the destination floor reservation is collated with the existing destination floor reservation (S24). For example, there are the following cases: after the first passenger using the car reserving device 16A reserves four floors, the second passenger using the car reserving device 16A also reserves four floors. In this case, the elevator control device 20A performs collation so that the destination floor of the reservation of four floors is provided in one record, not in two records. In this way, the process of summarizing the repeated destination layer reservations into one record is called "consolidation".

After step S24, the elevator control device 20A transmits the destination floor reservation data to the car call estimating unit 30 (S25). After finishing the transmission of the destination floor reservation data, the elevator control device 20A returns to step S23 to wait for the reception of the destination floor reservation data.

The car reserving device 16B and the elevator control device 20B can perform the same processing as steps S21 to S25 performed by the car reserving 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), it stores the destination floor reservation data in the storage device 40 (S27). Then, the car call estimating unit 30 executes the 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 estimating unit 30 returns to step S26 to wait for the reception of the destination floor reservation data.

The car reserving device 16B and the elevator control device 20B perform the same processing as steps S21 to S25 performed by the car reserving device 16A and the elevator control device 20A.

Fig. 10 is a flowchart showing an operation example in which the elevator system 1B registers a car call based on the learning result stored in fig. 9. In this process, it is assumed that the passenger goes from the building 2A to the building 2B.

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

After the destination floor reservation data is stored in the storage device 40 in step S37, the car call estimating unit 30 reads the learning result from the storage device 40 and estimates the behavior of the passenger (S38). Next, the car call estimating unit 30 determines whether the behavior of the passenger corresponds to a car call (S39). When the behavior of the passenger is not the behavior corresponding to the car call, the car call estimating unit 30 returns to step S36 to wait for the reception of the destination floor reservation data. When the behavior of the passenger is a behavior corresponding to a car call, the car call estimating section 30 transmits a request for 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 taken by the passenger (S40).

When the elevator control device 20B receives a request for car call registration from the car call estimating unit 30 (S41), a car call is actually registered (S42). Thus, passengers traveling from building 2A to building 2B can use the elevator of building 2B. After that, the elevator control device 20A returns to step S33 to wait for reception of the 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 showing an example of the internal configuration of the elevator system 1C.

The elevator system 1C includes a security gate 17 provided in the peripheral area 4 shown in fig. 1 as an example of the behavior measuring unit 10 in addition to the elevator control devices 20A and 20B, the car call estimating unit 30, and the storage device 40. The safety gate 17 is connected to the elevator control devices 20A and 20B and the car call estimating unit 30, and restricts movement of passengers.

When a passenger carries an electronic device such as a contactless ID card, the reading unit reads authentication information such as an ID from the electronic device when the electronic device approaches the reading unit of the security gate 17. The security gate 17 controls the flow of passengers by performing authentication of passengers based on the authentication information and allowing or disallowing passage of the security gate 17. The car call estimating unit 30 can use behavior data indicating that the passenger has passed through the security gate 17. For example, the security gate 17 measures the number of passengers of the passenger who passed through the security gate 17, and the number of passengers is used as behavior data. The direction of movement of the passenger is determined based on the direction in which the passenger passes through the safety door 17. Therefore, by including the direction of the passenger who has passed through the safety door 17 in the behavior data, the car call estimation section 30 can grasp the moving direction of the passenger moving from the building 2A to the building 2B and the moving direction of the passenger moving from the building 2B to the building 2A based on the behavior data.

In addition, the electronic device carried by the passenger can store destination layer registration data in which a destination layer commonly used by the passenger is registered, including the destination layer registration data in the authentication information. Therefore, when the passenger passes through the security gate 17, the security gate 17 can also measure the destination layer of the passenger and include the destination layer in the behavior data. The security gate 17 transmits the behavior data to the elevator control devices 20A and 20B and the car call estimating unit 30.

The car call estimating unit 30 stores the received behavior data in the storage device 40. The car call estimation unit 30 also transmits the result of the estimation of the number of passengers and the destination floor to the elevator control devices 20A and 20B that control the elevator to be used by the passengers by performing the sum-up processing of the behavior data and the latest behavior data stored in the storage device 40 in the past.

In the elevator system 1C having such a configuration, if a floor where a certain passenger enters a company at the time of attendance is registered as a destination floor in destination floor registration data, for example, the passenger registers a car call to the destination floor as long as the passenger passes through the security gate 17 at the time of attendance. However, in the case where the destination floor registration data is stored in the electronic device, if the car call estimating unit 30 is not provided in the elevator system 1C, the car call registration to the destination floor registered in the destination floor registration data in advance is inevitably performed when the passenger passes through the security gate 17.

However, there are also cases where: the passenger gets off the elevator at a different floor from the floor registered in the destination floor registration data in advance at a time other than the time of the departure. In this case, the car call estimating unit 30 can generate a car call to a destination floor other than the registered floor registered in advance, which is estimated from the actual result in a time zone other than the time of attendance, based on the correlation between the time and the destination floor.

Next, a car call estimation method performed by the elevator system 1C will be described.

Fig. 12 is a flowchart showing 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 estimating unit 30 cooperate to perform a series of operations.

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

Next, the security gate 17 transmits the destination floor reservation data of one person as the behavior data to the elevator control device 20A (S52). In the destination floor reservation data, reservations for car calls are included. After the transmission of the destination floor reservation data is completed, the security gate 17 returns to step S51 to wait for the input of the passenger.

When the elevator control device 20A receives the destination floor reservation data from the security gate 17 (S53), the destination floor reservation is collated with the existing destination floor reservation (S54). Then, the elevator control device 20A transmits the destination floor reservation data to the car call estimating unit 30 (S55). After finishing the transmission of the destination floor reservation data, the elevator control device 20A returns to step S53 to wait for the reception of the destination floor reservation data.

When the car call estimation unit 30 receives the destination floor reservation data from the elevator control device 20A (S56), it stores the destination floor reservation data in the storage device 40 (S57). Then, the car call estimating unit 30 executes the 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 estimating unit 30 returns to step S56 to wait for the reception of the 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. 12. In this process, it is assumed that the passenger goes from the building 2A to the building 2B.

The processing of steps S61 to S67 by the security gate 17, the elevator control device 20A, and the car call estimating unit 30 is the same as the processing of steps S51 to S57 in fig. 12, and therefore 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 behavior of the passenger (S68). Next, the car call estimating unit 30 determines whether the behavior of the passenger corresponds to a car call (S69). If the behavior of the passenger is not the behavior corresponding to the car call, the car call estimating unit 30 returns to step S66 to wait for the reception of the destination floor reservation data. When the behavior of the passenger is a behavior corresponding to a car call, the car call estimating section 30 transmits a request for 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 taken by the passenger (S70).

When the elevator control device 20B receives a request for car call registration from the car call estimating unit 30 (S71), a car call is actually registered (S72). Thus, passengers traveling from building 2A to building 2B can use the elevator of building 2B. After that, the elevator control device 20A returns to step S63 to wait for reception of the 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 showing an example of the internal configuration of the elevator system 1D.

Like 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 smart phone 11 is connected to the elevator control devices 20A and 20B. The smartphone 11 is provided with an application 18 that automatically registers a car call, and the smartphone 11 is used as an example of the behavior measurement portion 10.

Here, there are the following cases: when the smartphone 11 approaches the elevator control device 20A, only the elevator control device 20A to which the smartphone 11 can be connected is communication-connected. At this time, the smartphone 11 transmits and receives data to and from the elevator control device 20A. For example, when a passenger having the smartphone 11 approaches an elevator controlled to operate by the elevator control device 20A, the application 18 wirelessly transmits behavior data including a destination floor to the elevator control device 20A. The elevator control device 20A collates the received behavior data and transmits the behavior data to the car call estimating unit 30. The car call estimating unit 30 registers a car call in an elevator control device (either one of the elevator control devices 20A and 20B) that controls an elevator to be used by a passenger determined based on the behavior of the passenger estimated from the behavior data.

When the passenger having the smartphone 11 moves to the vicinity where communication with the elevator control device 20B is possible, the smartphone 11 transmits the behavior data to the elevator control device 20B. The behavior data is used for estimation of a car call by the car call estimation unit 30 and then stored in the storage device 40.

However, the smartphone 11 and the elevator control devices 20A and 20B may communicate with each other via the internet, for example. In this case, the smartphone 11 can communicate with the elevator control devices 20A and 20B regardless of whether or not it is in the vicinity of 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 showing 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 estimating unit 30 cooperate to make a series of operation assumptions.

The smartphone 11 can directly communicate with the car call estimating section 30 during the time when the passenger is in the peripheral area 4 shown in fig. 1. The acceleration sensor 12 of 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). The behavior data includes destination layer reservation data set in advance in the application 18. After transmitting the behavior data, the smartphone 11 returns to step S81 and repeats the sensor measurements again.

When the elevator control device 20A receives the behavior data from the smartphone 11 (S83), the destination floor reservation is collated 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 the behavior data including the destination floor reservation data to the car call estimating unit 30 (S85). After finishing the transmission of the behavior data including the destination floor reservation data, the elevator control device 20A returns to step S83 to wait for the 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 behavior data and the destination floor reservation data are stored in the storage device 40 (S87). Then, the car call estimation unit 30 executes the learning process based on the stored behavior data and destination floor reservation data (S88), and stores the learning result in the storage device 40. After the learning process, the car call estimating unit 30 returns to step S86 to wait for the reception of the destination floor reservation data.

Fig. 16 is a flowchart showing an operation example in which the elevator system 1D registers a car call based on the learning result stored in fig. 15. In this process, it is assumed that the passenger goes from the building 2A to the building 2B.

The processes of steps S91 to S97 performed by the smartphone 11, the elevator control device 20A, and the car call estimating unit 30 are the same as those of steps S81 to S87 in fig. 15, and therefore detailed description thereof is omitted.

In step S97, after the behavior data and the destination floor reservation data are stored in the storage device 40, the car call estimation unit 30 reads the learning result from the storage device 40 and estimates the behavior of the passenger (S98). Next, the car call estimating unit 30 determines whether the behavior of the passenger corresponds to a car call (S99). If the behavior of the passenger is not the behavior corresponding to the car call, the car call estimating unit 30 returns to step S96 to wait for the reception of the destination floor reservation data. In the present embodiment, the behavior not equivalent to a car call includes, for example: based on the learning of past behavior data, the car reservation registered by the car reservation device 16A is cancelled, and the passenger does not get off the elevator at the destination floor of the car reservation registered by the car reservation device 16A.

When the behavior of the passenger is a behavior corresponding to a car call, the car call estimating section 30 transmits a request for car call registration to the elevator control device 20B that controls the operation of the car determined as the passenger to get in (S100).

When the elevator control device 20B receives a request for car call registration from the car call estimating unit 30 (S101), a car call is actually registered (S102). Thus, passengers traveling from building 2A to building 2B can use the elevator of building 2B. After that, the elevator control device 20A returns to step S93 to wait for reception of the 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 showing an example of the internal configuration of the elevator system 1E.

The elevator system 1E includes, as an example of the behavior measuring unit 10, stereo cameras 50A and 50B provided in the peripheral area 4 shown in fig. 1, in addition to the elevator control devices 20A and 20B, the car call estimating unit 30, and the storage device 40. The stereo cameras 50A and 50B are connected to the car call estimating unit 30. The stereo cameras 50A, 50B are used as an example of a three-dimensional measurement section that measures the number of passengers, the moving speed, and the moving direction based on the shapes and distances of the passengers. In addition, instead of the stereo cameras 50A and 50B capable of capturing three-dimensional images, cameras capable of capturing two-dimensional images may be used. Further, the stereo cameras 50A, 50B may capture either a moving image or a still image.

The stereo cameras 50A and 50B recognize the shape of a subject (object) to be photographed, and can accurately measure the distance to the subject. Therefore, the stereo cameras 50A and 50B respectively transmit behavior data including the number of passengers, the moving speed of the passengers, and the moving direction of the passengers, which are measured based on the shape and distance of the subject, to the car call estimating section 30. The car call estimation unit 30 can estimate the number of passengers who will take the car for each elevator based on the change of the behavior data in the imaging regions 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 showing an example of the operation of the ladder system 1E. In this process, it is assumed that the stereo camera 50A, the elevator control device 20A, and the car call estimating unit 30 cooperate to perform a series of operations.

The stereo camera 50A takes a stereo image with the peripheral area 4 as a shooting area (S111). Next, the stereo camera 50A performs predetermined image processing on the stereo image data, and measures 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 shooting again.

Here, when the elevator control device 20A performs 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 section 30 (S115). For example, when the car call registration is performed by the elevator control device 20A in a state where the passenger is not photographed by the stereo camera 50A, the elevator control device 20A transmits the car call registration information to the car call estimating section 30. Thereby, the car call estimating unit 30 can learn a car call registered from a place not photographed by the stereo camera 50A.

The stereo camera 50B and the elevator control device 20B perform the same processing as steps S111 to S115 performed by the stereo camera 50A and the elevator control device 20A.

When the car call estimating unit 30 receives the behavior data from the stereo camera 50A and the car call registration information from the elevator control device 20A (S116), the behavior data and the car call registration information are stored in the storage device 40 (S117). Then, the car call estimating 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 estimating unit 30 returns to step S116 to wait for the reception of the behavior data and the car call registration information.

Fig. 19 is a flowchart showing an operation example in which the elevator system 1E registers a car call based on the learning result stored in fig. 18. In this process, it is assumed that the passenger goes from the building 2A to the building 2B.

The processes of steps S121 to S125 performed by the stereo camera 50A, the elevator control device 20A, and the car call estimating unit 30 are the same as those of steps S111 to S113, S116, and S117 in fig. 18, and therefore, detailed description thereof is omitted.

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 behavior of the passenger (S126). Next, the car call estimating section 30 determines whether or not the behavior of the passenger corresponds to a car call (S127). When the behavior of the passenger is not the behavior corresponding to the car call, the car call estimating unit 30 returns to step S124 and waits for the reception of the behavior data. When the behavior of the passenger is a behavior corresponding to a car call, the car call estimating section 30 transmits a request for car call registration to the elevator control device 20B that controls the operation of the car determined as the passenger to board (S128).

When the elevator control device 20B receives a request for car call registration from the car call estimating unit 30 (S129), a car call is actually registered (S130). Thus, passengers traveling from building 2A to building 2B can use the elevator of building 2B. After that, the elevator control device 20B returns to step S129 and waits for reception of the 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 showing an example of the internal configuration of the elevator system 1F.

The elevator system 1F includes, as an example of the behavior measuring unit 10, LiDAR (Light Detection and Ranging) 60 provided in the peripheral area 4 shown in fig. 1, in addition to the elevator control devices 20A and 20B, the car call estimating unit 30, and the storage device 40. The LiDAR60 is one of three-dimensional measuring parts, and is used as an example of a three-dimensional measuring part that measures the shape of a passenger, the distance to the passenger by measuring the reflection of laser light irradiated to the passenger, and measures the number of passengers, the moving speed, and the moving direction.

The LiDAR60 is capable of identifying passengers on a plane and generating a three-dimensional map, and thus transmits behavior data including the number of passengers and movement vectors, that is, the movement speed and the movement direction, to the car call estimation portion 30. The car call estimating section 30 determines the merging or the separation of passengers with respect to the traffic flow of the peripheral area 4 based on the behavior of the passengers estimated from the behavior data, and estimates a car call. The elevator system 1F has a system configuration equivalent to that of the elevator system 1E including the stereo cameras 50A and 50B according to the fifth embodiment described above by providing the LiDAR 60.

[ seventh embodiment ]

Next, an elevator system according to a seventh embodiment of the present invention will be described.

Fig. 21 is a block diagram showing an example of the internal configuration of the elevator system 1G.

The elevator system 1G includes, as an example of the behavior measuring unit 10, an automatic ticket gate 70 provided in the peripheral area 4 shown in fig. 1 and used at a railway train station or the like, in addition to the elevator control devices 20A and 20B, the car call estimating unit 30, and the storage device 40. The automatic ticket checker 70 restricts the movement of the passenger.

Here, it is assumed that there is a correlation among the train arrival time, the number of ticket inspectors, and the operation management data at or below a constant time. Further, the automatic ticket gate 70 measures the number of passengers passing through the automatic ticket gate 70, and transmits behavior data including the number of passengers to the car call estimating section 30. The car call estimation unit 30 can estimate how many passengers are called after how much time has elapsed, on which floor, and when a train arrives, based on the behavior of the passengers estimated from the behavior data. In particular, at the time of attendance (for example, between 8 and 9 am), the car call estimating unit 30 can also adopt a simple correlation analysis method because it is considered that the tendency of a car call occurring in the lobby floor is high, for example. The elevator system 1G has a system configuration similar to that of 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. 1.

[ eighth embodiment ]

Next, an elevator system according to an eighth embodiment of the present invention will be described.

Fig. 22 is a block diagram showing an example of the internal configuration of the elevator system 1H.

The elevator system 1H includes a car allocation system 80 used by a taxi company or the like 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 distribution system 80 is used as an example of a management system for managing movement to a specific elevator by a passenger who moves the lobby floor as the peripheral area 4.

The car-allocating system 80 transmits the number of passengers and the behavior data of the destination (for example, the building 2A) including the number of passengers who move in a specific time zone managed by the car-allocating system 80 to the car-call estimating unit 30 by reserving the time of pickup of a taxi, for example.

The car call estimating section 30 determines, for example, the merging or the separation of passengers for the traffic flow of the peripheral area 4 of the elevator below the lobby floor before the reservation time based on the behavior of the passenger estimated from the behavior data, and estimates a car call. The car call estimating unit 30 can register a car call from the floor where the reserver is located to the hall floor as the destination in the elevator control device 20A. Further, if the car allocation system 80 presents the arrival time of the taxi to the car call estimation section 30, the car call estimation section 30 can perform car call registration, for example, so that the car arrives at a lobby floor before the arrival time, thereby improving the convenience of the elevator.

Further, the elevator system 1H may acquire traffic jam information from road traffic information supplied from the outside, for example, and use the occurrence of a delay due to traffic jam as behavior data of passengers riding in the motor vehicle. In this case, by canceling the registration of the car call reserved in advance or delaying the registration of the car call, the car in which the car call is temporarily registered can be used for other purposes, and therefore, the operation efficiency of the elevator can be improved. The elevator system 1H cooperates with the car distribution system 80 to have a system configuration equivalent to that of the elevator system 1B including the car reservation devices 16A and 16B according to the second embodiment.

[ ninth embodiment ]

Next, an elevator system according to a ninth embodiment of the present invention will be described.

Fig. 23 is a block diagram showing an example of the internal configuration of the elevator system 1J.

The elevator system 1J includes a dispatch management system 90 as an example of the behavior measuring unit 10 in addition to the elevator control devices 20A and 20B, the car call estimating unit 30, and the storage device 40. The dispatch management system 90 is used as an example of a management system for managing movement to a specific elevator by a passenger moving a building having a meeting room as the peripheral area 4.

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

The car call estimating section 30 determines, for example, merging or separation of passengers with respect to a traffic flow from the building 2A to the peripheral area 4 of the building 2B based on the behavior of the passengers estimated from the behavior data, and estimates a car call. Here, if the schedule management system 90 can detect the conference start time, the registration of a car call with the floor of the conference room as the destination floor can be performed in advance from the floor of the participant of the conference before the start time. Further, in the case where the number of conference attendants registered by the schedule management system 90 is large, the car call estimation section 30 can perform registration of a plurality of car calls on the basis of the maximum load capacity of the car.

The car call estimating unit 30 stores the number of persons getting off the elevator to the floor where the meeting room is located as passenger behavior in the storage device 40 in advance before and after the start time of the meeting. The car call estimating unit 30 can estimate the number of elevators dropped read from the storage device 40 before the end time of the conference as the number of passengers, and can register in advance a car call to a floor in which the conference room is present.

[ tenth embodiment ]

Next, an elevator system according to a tenth embodiment of the present invention will be described. Fig. 24 is a block diagram showing an example of the internal configuration 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 estimating unit 30, and a storage device 40. Fig. 24 shows that the elevator control devices 20A, 20B, and 20C are provided in 3 buildings 2A, 2B, and 2C adjacent to each other. Further, it is assumed that a plurality of behavior measurement units 10 are provided in the peripheral region 4 between the buildings 2A, 2B and between the buildings 2B, 2C. The flow of passengers heading from the building 2A to the buildings 2B, 2C is referred to as a traffic flow of the peripheral area 4.

Here, the behavior of the passenger moving between the buildings shown in the lower part of fig. 24 will be described.

First, at time T0, eight passengers P1 get off the car installed in the building 2A and leave the building 2A.

Eight passengers P1 move from building 2A to building 2B. In the middle of the movement, at time T1, two passengers P2 are separated from eight passengers P1, and six passengers P3 and P4 arrive at building 2B.

Three passengers P4 get in the elevator of the building 2B. Therefore, the passenger who has left the building 2B becomes three passengers P3.

Three passengers P3 move from building 2B to building 2C. In the middle of the movement, at time T3, one passenger P5 is separated from three passengers P3, and two passengers P6 arrive at building 2C.

Then, two passengers P6 take in the elevator of the building 2C.

As shown in fig. 24, assume a case where eight passengers P1 get off from the elevator of building 2A at time Tn (═ T0), and three passengers P4 get on the elevator of building 2B at time Tn +2(═ T2). In this case, the car call estimation unit 30 can estimate that a car call is likely to occur at time Tn +2+ f (T4) in the building 2C. Here, if Tf is within the time indicated by T4-T2, it indicates a time at which the registration of the car call of the elevator in the building 2C can be reliably performed.

In this way, the car call estimating unit 30 can improve the estimated car call accuracy by measuring a series of behaviors of passengers, and can improve the operation efficiency of the elevator by the elevator control devices 20A to 20C. The car call estimating unit 30 can estimate a car call even when other passengers are joined. For example, when a passenger coming out of the building 2B moves to the building 2C in a certain time zone, the car call estimation section 30 can estimate a car call by adding the number of merged passengers to the number of passengers moving from the building 2A to the building 2B, taking into account the number of passengers merged in the time zone and the moving direction. The method of considering the separation and the merging of passengers in the elevator system 1K is also applicable to elevator systems according to other embodiments.

The present invention is not limited to the above-described embodiments, and it is needless to say that various other application examples and modifications can be adopted without departing from the gist of the present invention described in claims.

For example, in the above-described embodiments, the configurations of the apparatus and the system are described in detail and specifically for easy understanding of the present invention, and the above-described embodiments are not necessarily limited to the embodiments having all the configurations described. It is to be noted that a part of the configurations of the embodiments described herein may be replaced with the configurations of the other embodiments, and the configurations of the other embodiments may be added to the configuration of a certain embodiment. Further, it is also possible to add, delete, or replace a part of the configurations of the embodiments with another configuration.

The control lines and the information lines are shown in consideration of the need for description, and not all the control lines and the information lines are necessarily shown in the product. In practice, almost all structures can be considered to be interconnected.

Description of the reference numerals

1. 1A to 1K: the elevator system 3: the monitoring center 4: peripheral region 10: the behavior measurement unit 11: the smart phone 30: car call estimation unit 40: storage devices 16A, 16B: the reservation device 17: the safety door 18: application programs 20A to 20C: elevator control devices 50A and 50B: the stereo camera 60: LiDAR 70: automatic ticket checker 80: the vehicle matching system 90: and scheduling the management system.

Claims (8)

1. An elevator system is provided with:

a behavior measuring unit for measuring the behavior of passengers moving in the peripheral area of the elevator and outputting behavior data;

an elevator control device for controlling the operation of the elevator and outputting the operation data of the elevator and the boarding and alighting data representing the passengers using the elevator to get in and out of the elevator car; and

a car call estimating unit that estimates a car call generated in the elevator using a learning result obtained by machine learning using the operation data and the boarding/alighting data as teacher data, which are actual results of operation of the elevator control device, and the behavior data at the time of obtaining the boarding/alighting data as input data, and learning a relationship between the behavior of the passenger estimated based on the behavior data and the boarding/alighting floors and the number of boarding/alighting floors of the passenger based on the operation data and the boarding/alighting data, and registers the estimated car call in the elevator control device,

the behavior measurement section transmits behavior data including a destination floor to the elevator control device,

the elevator control device sorts the behavior data and transmits the behavior data to the car call estimation section,

the car call estimation section registers the car call in the elevator control device that controls the elevator to be utilized by the passenger determined based on the behavior of the passenger.

2. The elevator system of claim 1,

the behavior measurement section is an electronic device carried by the passenger,

the behavior data includes the number of passengers, the moving speed and the moving direction,

the car call estimation section determines, based on the behavior of the passenger, the merging or the separation of the passenger with respect to the traffic flow of the peripheral area, and estimates the car call of the elevator to be utilized by the passenger carrying the electronic device.

3. The elevator system of claim 2,

the electronic device transmits the behavior data to the car call estimation portion,

the car call estimation section determines whether the passenger wants to utilize the elevator based on the behavior of the passenger, and registers the car call in the elevator control device that controls the elevator to be utilized by the passenger.

4. The elevator system of claim 1,

the behavior measuring section is a car reservation device that is provided in the peripheral area and registers a reservation of the car call including a destination floor into the elevator control device,

the behavior data includes the car call reserved in the car reservation device,

the car call estimation section estimates the car call of the elevator to be utilized by the passenger using the car reservation device based on the behavior of the passenger.

5. The elevator system of claim 1,

the behavior measuring section is an automatic ticket gate or a security gate provided in the peripheral area and restricting movement of the passenger,

the behavior data includes the number of the passengers who pass through the automatic ticket gate or the security gate,

the car call estimation section estimates the car call of the elevator to be utilized by the passenger who has passed the automatic ticket gate or the security gate, based on the behavior of the passenger.

6. The elevator system of claim 1,

the behavior measurement unit is a three-dimensional measurement unit that is provided in the peripheral area and measures the number of passengers, the movement speed, and the movement direction based on the shape and the distance of the passengers,

the behavior data includes the number of passengers, the moving speed and the moving direction,

the car call estimation section determines, based on the behavior of the passenger, the merging or the separation of the passenger with respect to the traffic flow of the peripheral area, and estimates the car call.

7. The elevator system of claim 1,

the behavior measurement unit is a management system that manages movement of the passenger to a specific elevator,

the behavior data including the number of passengers moving in a specific time period managed by the management system and a moving destination,

the car call estimation section determines, based on the behavior of the passenger, the merging or the separation of the passenger with respect to the traffic flow of the peripheral area, and estimates the car call.

8. A car call estimation method, comprising:

a step in which a behavior measuring unit measures the behavior of passengers moving in the peripheral area of the elevator and outputs behavior data;

an elevator control device for controlling the operation of the elevator and outputting the operation data of the elevator and the boarding and alighting data representing the passengers getting in and out of the elevator car by the elevator; and

a step in which a car call estimating section estimates a car call generated in the elevator using a learning result obtained by machine learning using the operation data and the boarding/alighting data as actual results of operation of the elevator control apparatus as teacher data and the behavior data at the time of obtaining the boarding/alighting data as input data and newly input behavior data and learning a relationship between the behavior of the passenger estimated based on the behavior data and the boarding/alighting floor and the number of boarding/alighting floors of the passenger based on the operation data and the boarding/alighting data, and registers the estimated car call in the elevator control apparatus,

the behavior measurement section transmits behavior data including a destination floor to the elevator control device,

the elevator control device sorts the behavior data and transmits the behavior data to the car call estimation section,

the car call estimation section registers the car call in the elevator control device that controls the elevator to be utilized by the passenger determined based on the behavior of the passenger.

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