Abstract: A car call prediction unit provided in an elevator system: predicts a car calling to be generated in the elevator using learning results from learning the relationship between the behavior of passenger moving in an area around an elevator that is predicted on the basis of behavior data and a landing and the number of passengers boarding and exiting at the landing based on elevator operation data and boarding and exiting data; and stores the predicted car call in an elevator control device.
Technical field
[0001]
The present invention relates to elevator systems and car call estimation method.
BACKGROUND
[0002]
Conventionally, various methods for predicting the elevator of service demand has been studied. For example, the elevator system in Patent Document 1, which utilizes the correlation of the car call floor of the elevator, a device for predicting the occurrence of each floor of the car call, performs group supervisory control in accordance with a car call generation prediction of device It has been disclosed for.
CITATION
Patent Document
[0003]
Patent Document 1: Laid-Open Publication No. 6-329352
Summary of the Invention
Problems that the Invention is to Solve
[0004]
However, in the elevator system disclosed in Patent Document 1, even if possible to predict the car call after a short time in a single elevator failed operation control in conjunction with other elevator. Therefore, via a plurality of elevators, when the passenger moves to the destination floor, when the passenger moves halfway floor by some elevator moves from the middle floor to the destination floor by other elevators, the passenger in the middle floor there was to be staying. Further, in the elevator system disclosed in Patent Document 1, because it was subjected to operation control to select the traffic flow based on general information, not to make the appropriate operation control for each passenger to be moved.
[0005]
The present invention has been made in view of such circumstances, and an object thereof is to predict call squirrel occur elevator to allow efficient elevator operation control.
Means for Solving the Problems
[0006]
Elevator system according to the present invention includes a behavior measuring unit, and the elevator control unit, a car call estimation unit.
Behavior measuring unit outputs the behavior data to measure the behavior of passengers moving elevator peripheral region. Elevator control unit controls the operation of the elevator, elevator operational data, and passengers to utilize the elevator to output the passenger data indicating that the passenger cage. Car call estimation unit uses the behavior of passengers estimated based on the behavior data, a learning result of the learning the relationship between the elevating floor and the number of passenger in the passenger based on the operational data and passenger data, cage occurring elevator call to estimate the, to register the estimated car call to the elevator controller.
Effect of the invention
[0007]
According to the present invention, for example, without being aware of passengers to move between the elevator, that the estimated car call is automatically registered, the operation control of the elevator can be efficiently carried out.
Other problems mentioned above, and advantages will become apparent from the following description of exemplary embodiments.
BRIEF DESCRIPTION OF THE DRAWINGS
[0008]
[1] is an explanatory diagram showing an example elevator system is configured building according to the basic configuration of the embodiment of the present invention.
Is a block diagram showing an internal configuration of the elevator system according to a basic configuration of the embodiment of the present invention; FIG.
3 is a block diagram showing an example of a learning process of car call estimation unit according to the basic configuration of the embodiment of the present invention.
Is a block diagram showing an internal configuration of the elevator system according to a first embodiment of FIG. 4 the present invention.
5 is a block diagram showing a hardware configuration example of a computer according to a first embodiment of the present invention.
Is a flowchart showing an operation example of the elevator system according to a first embodiment of FIG. 6 the present invention.
[7] based on the stored learned results in FIG. 6 is a flowchart showing an operation example of an elevator system registers a car call.
8 is a block diagram showing an internal configuration of the elevator system according to a second embodiment of the present invention.
9 is a flowchart showing an operation example of the elevator system according to a second embodiment of the present invention.
[10] based on the stored learned results in FIG. 9 is a flowchart showing an operation example of an elevator system registers a car call.
11 is a block diagram showing an internal configuration of the elevator system according to a third embodiment of the present invention.
Is a flowchart showing an operation example of the elevator system according to a third embodiment of FIG. 12 the present invention.
[13] based on the stored learned results in FIG. 12 is a flowchart showing an operation example of an elevator system registers a car call.
14 is a block diagram showing an internal configuration of the elevator system according to a fourth embodiment of the present invention.
Is a flowchart showing an operation example of the elevator system according to a fourth embodiment of FIG. 15 the present invention.
[16] based on the stored learned results in FIG. 15 is a flowchart showing an operation example of an elevator system registers a car call.
17 is a block diagram showing an internal configuration of the elevator system according to a fifth embodiment of the present invention.
18 is a flowchart showing an operation example of the elevator system according to a fifth embodiment of the present invention.
[19] based on the stored learned results in FIG. 18 is a flowchart showing an operation example of an elevator system registers a car call.
FIG. 20 is a sixth block diagram showing an internal configuration of the elevator system according to an exemplary embodiment of the present invention.
21 is a seventh block diagram illustrating an internal configuration of the elevator system according to an exemplary embodiment of the present invention.
22 is a eighth block diagram showing the internal configuration of the elevator system according to an exemplary embodiment of the present invention.
FIG. 23 is a block diagram showing an internal configuration of the elevator system according to a ninth embodiment of the embodiment of the present invention.
Is a block diagram showing an internal configuration of the elevator system according to a tenth embodiment of the embodiment of FIG. 24 the present invention.
DESCRIPTION OF THE INVENTION
[0009]
DESCRIPTION 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, and duplicated description will be omitted by referring to the figures.
[0010]
[Basic Configuration Example
First, a description will be given of a basic configuration example of the elevator system.
Figure 1 is an explanatory diagram elevator system 1 shows an example of a building constructed.
[0011]
Elevator system 1 shown in FIG. 1, building 2A, based on the behavior of passengers getting on and off the elevator installed respectively 2B, to estimate which car call generated by a passenger utilizing the elevator.
The building 2A, the elevator control device 20A is installed. Elevator control unit 20A, elevator operation to be installed in buildings 2A (e.g., lifting the car, door, etc.) are controlled.
Similarly, the building 2B, elevator control unit 20B is installed. Elevator control unit 20B controls the operation of the elevator to be installed in buildings 2B.
[0012]
Building 2A, the peripheral region 4 provided between the 2B is present the behavior measuring unit 10. Peripheral area 4, building 2A, not only during 2B, buildings 2A, buildings 2A in a predetermined range around the 2B or elevator may be an external 2B. The peripheral area 4, building 2A, or may be internal 2B. In addition, the peripheral region 4, elevator hall, corridor, office, may be a conference room or the like.
[0013]
Behavior measuring unit 10, building 2A, used to measure the behavior of passengers to move between 2B, and outputs the behavior data to measure the behavior of passengers moving elevator peripheral region 4. As the behavior measuring unit 10, for example, (see FIG. 4 to be described later) smartphone 11 passengers carry is used. Further, as an example of a behavior measuring unit 10 (see FIG. 8 described later) is also car reservation device 16A, 16B to the other, such as the security gate 17 (see FIG. 11 to be described later) is used.
[0014]
Monitoring center 3, building 2A, monitoring the elevator operation status installed in 2B. Monitoring center 3, building 2A, may be placed in any of 2B. The monitoring center 3, car call estimation unit 30 and the storage device 40 is installed.
[0015]
Figure 2 is a block diagram showing an example of the internal configuration of the elevator system 1.
Elevator system 1 comprises, behavior measuring unit 10, the elevator control device 20A, 20B, car call estimation unit 30, a storage device 40.
[0016]
Behavior measuring unit 10, the behavior of passengers measured one or more, transmits the behavior data to the car call estimation unit 30. As the behavior of the passenger, for example, position information of the passenger, the moving speed, and moving direction or the like.
Elevator control unit 20A, 20B controls the operation of the elevator, elevator operational data, and passengers to utilize the elevator to output the passenger data indicating that the passenger cage.
[0017]
The behavior data, for example, the number of passengers behavior measuring unit 10 has measured, includes information such as the moving vector. The operation data, the elevator control device 20A, 20B is included the operation information of the car treated. To passenger data, to ride in the car what the passengers perform the operation of the car calls, or information and such to get off at any floor, elevator car passengers were getting on and off is installed (Unit) is Which information is included, such as or.
[0018]
Car call estimation unit 30, the elevator control device 20A, 20B, and is connected to the behavior measuring unit 10. Car call estimation unit 30, and behavior of passengers estimated based on the behavior data received from the behavior measuring unit 10, a learning result of the learning the relationship between the number of passenger floor and landing passengers based on operational data and passenger data used to estimate the car call generated in the elevator. The car call estimation unit 30 determines the behavior of the passenger, and registers the estimated car call to the elevator control device 20A, the 20B.
The storage device 40, behavior data, various data of the learning result due car call estimation unit 30 is stored.
[0019]
It will now be described learning process of the car call estimation unit 30.
Figure 3 is a block diagram showing an example of a learning process of the car call estimation unit 30.
[0020]
The algorithm used for car call estimation unit 30 the car call estimation, for example, including statistical processing, old called neural networks, machine learning is used called deep learning recently. The car call estimation unit 30 as shown in FIG. 3, the deep neural network 33 for performing machine learning based on the input data used. Deep neural network 33 is, for example, elevator control unit 20A, the operation data and passenger data is operated proven 20B as teacher data 31, the input data 32 behavior data behavior measuring unit 10 is outputted. Then, deep neural network 33 is utilized based on the teacher data 31 and the input data 32, passengers using any elevator and passenger at any floor, how among elevators (including inter building 2A, 2B) perform machine learning to figure out what was. Learning result is stored in the storage device 40.
[0021]
Deep neural network 33 which has finished machine learning, the new behavior data 34 is input, this behavior data 34, based on the read out learning result from the storage unit 40, the number of passengers of a passenger utilizing the specific elevator , to estimate the destination floor and the like. Then, deep neural network 33 outputs the estimated data 35 including the number of passengers and destination floor estimated, elevator control device 20A is a passenger of the destination, to either of 20B. Estimation data 35 is used as a car call or estimated by the car call estimation unit 30. Elevator control unit 20A, 20B is able to register a car call on the basis of the estimated data 35.
[0022]
Again, back to FIG.
Elevator control unit 20A, 20B, for example, to process the time of occurrence of car call and the departure floor, the operation data obtained by combining the arrival floor. In addition, the elevator control unit 20A, 20B is, passengers rode in any floor manages the detailed passenger data that did get off at any floor.
Car call estimation unit 30, behavior data, by analyzing the operational data and passenger data, to estimate the destination floor corresponding to at least the car call at any time.
[0023]
Behavior measuring unit 10 is a device for measuring the quantity of a specific object (such as human), and speed of a particular object, and direction. Behavior measuring unit 10, be a single part, it may more, be a composite part that combines a variety of sensors. Behavior data the behavior measuring unit 10 includes a value obtained by measurement, it is generally combined with temporal factors such as the measurement time.
[0024]
Function of the behavior measuring unit 10 has a function of measuring the passenger behavior itself is divided into function of measuring objects or events that affect the behavior of passengers. As a sensor having the former function, for example, those capable of measuring a physical quantity as the acceleration sensor described in the first exemplary embodiment to be described later. As a sensor having the latter function, for example, there is a pressure sensor. The pressure sensor can be measured is a change in the atmospheric pressure, it affects the indirect human behavior by climate change. Car call estimation unit 30, if the decrease in atmospheric pressure, reduces the people to go out because the weather is disturbed, by learning the actual phenomena such as a reduction in the flow of people, estimate the behavior of the passengers were correlated with the atmospheric pressure change it becomes possible to. Thus a sensor having a function of measuring objects or events that affect the behavior of passengers, the temperature sensor as other general, a humidity sensor, an illumination sensor, a wind speed sensor.
[0025]
If large buildings with multiple elevators in a building is placed, it is often placed a plurality of elevator control device. For example, when moving a plurality of elevators installed in tall buildings from a low floor in the passenger Noritsugu that the higher-order floor, elevator as passengers easily transit is disposed adjacent. And, even without taking into account the movement of passengers between the elevator, the elevator had been operating using only passengers getting on and off floor data.
[0026]
On the other hand, in this configuration, as the peripheral area 4, each floor (elevator hall, office, etc.) a plurality of behavior measuring unit 10 installed on it, it is possible to measure the behavior of passengers inside skyscrapers. For this reason, it is called estimating unit 30, as well as getting on and off floor, getting on and off the number be estimated to car call generation, including elevator control device 20A, it is possible to register a car call to 20B, elevator than a conventional it is possible to improve the operating efficiency of.
[0027]
Also in the minimum configuration one elevator is installed in a single building, the behavior of the building and elevator near the passenger to estimate the car call based on, can improve the travel efficiency of the elevator. Further, even in a large-scale structure where a plurality of elevators in the area including a plurality of buildings are laid, by linking a plurality of elevators are installed in a plurality of buildings, operation of the elevator in the entire region it is possible to improve the efficiency.
[0028]
In the elevator system 1, depending on the behavior of the passenger, have registered car calls for car movable vertically. However, as the object to register the car call is not limited to the car, it may be another mobile device (escalators, vehicles, etc.).
[0029]
Further, with respect to the car call estimation unit 30, a behavior measuring unit 10, the elevator control device 20A, and 20B, although the storage device 40 is communicatively connected, connection form is not limited to this.
[0030]
Further, in FIG. 1, building 2A, assuming that building 2B, is one elevator each provided, two elevator control device 20A, but 20B is configured, but is not limited to the two units. Even in one of the elevator, on the basis of the behavior of the passenger behavior measuring unit 10 is measured, because the car call estimation unit 30 can estimate the car call or not to occur in the future, it is possible to improve the operation efficiency of the elevator.
[0031]
[First Embodiment Example]
connection arrangement of the behavior measuring unit 10 and the car call estimation unit 30 provided in the elevator system 1 described above may take various forms. It will be described each embodiment examples below.
[0032]
First, a description will be given of the elevator system according to a first embodiment of the present invention. Figure 4 is a block diagram showing an internal configuration of the elevator system 1A. Here, the smartphone 11 is an example of an electronic device that passenger mobile is used as an example of a behavior measuring unit 10. However, in addition to the smartphone 11, tablet terminal, laptop PC (Personal Computer), a passenger, such as a wearable device is portable electronic devices may be used as an example of a behavior measuring unit 10.
[0033]
Smartphone 11 comprises an acceleration sensor 12, gyro sensor 13, a position measuring sensor 14. Acceleration sensor 12, gyro sensor 13, a position measuring sensor 14 collectively as "internal sensor".
[0034]
Acceleration sensor 12 detects the acceleration of the smartphone 11 with the movement of the smartphone 11.
Gyro sensor 13 detects an angular velocity of the smartphone 11 accompanying the rotation of the smartphone 11.
Position measuring sensor 14 uses the GPS (Global Positioning System), the current position of the smartphone 11, i.e. measures the current position of the passenger. Position measuring sensor 14, the current position of the smartphone 11, for example, represented by the position data including the latitude and the longitude.
[0035]
Smartphone 11, another apparatus including a plurality of wireless communication mode standardization, is accessible point such as a wireless communication. The smartphone 11, while present in the peripheral area 4 shown in FIG. 1, and communication connection to the car call estimation unit 30, an angular velocity acceleration acceleration sensor 12 is measured, the gyro sensor 13 is measured, the position measuring sensor 14 is measured transmitting behavior data including the position information. Car call estimation unit 30 grasps the number of passengers by the number of the behavior data received acceleration included in the behavior data, the angular velocity, the position information, the moving speed of each of the passengers, and the moving direction can be grasped . Therefore, the behavior data, it can be said to include passenger number, moving speed, and moving direction. Incidentally, as shown in FIG. 14 to be described later, the smartphone 11, elevator control device 20A, and communication connection to 20B, it is also possible to transmit the behavior data.
Communication path between the smart phone 11 and other devices is not limited to FIG. 4, the communication distance and the communication unit (not shown) that the smartphone 11 is mounted, suitably configured in accordance with the network topology changes.
[0036]
Car call estimation unit 30, elevator control unit 20A, receives the elevator operational data and passenger data from 20B, directly from the smartphone 11 or elevator control unit 20A, via 20B receives the current behavior data. The car call estimation unit 30, behavior data, by using the learning result read from the storage device 40 based on the operation data and passenger data, to estimate the car calls. Car call estimation unit 30 determines, based on the behavior of the passenger estimated from the behavior data, for example, a merging or withdrawal of passengers for traffic flow in the peripheral region 4 toward the building 2B from building 2A. Then, the car call estimation unit 30, after any of the time, passengers to carry a smartphone 11 to estimate the call elevator cage to be used. The car call estimation unit 30 registers the car call to the elevator controller 20A or elevator control unit 20B passengers than the behavior of the estimated passenger determines whether to use the elevator to control the elevator passengers to use to. Also, car call estimation unit 30, to keep the learning result in the storage device 40, when receiving the new behavior data, by reading the learning result from the storage unit 40, the estimation accuracy of the car calls it is possible to improve.
[0037]
Next, a hardware configuration of a computer C that constitute each device of the elevator system 1A.
Figure 5 is a block diagram showing a hardware configuration example of a computer C.
[0038]
Computer C is a hardware which is used as a so-called computer. Computer C, the bus each C4 connected CPU: comprises (Central Processing Unit The central processing unit) C1, ROM (Read Only Memory) C2, RAM (Random Access Memory) C3. Furthermore, the computer C includes a display unit C5, operation unit C6, non-volatile storage C7, a network interface C8.
[0039]
CPU C1 reads and executes the program code of software realizing the functions according to the embodiment of the present embodiment from ROMC2 or non-volatile storage C7. The RAM C3, other variables or parameters that have occurred in the middle of processing, door instruction or the like of the car door is temporarily written. The door opening and closing instruction includes door opening instruction to open the car door, or either door closing command for closing the car door. In the following description, abbreviated opening the car door or close it as a "door opening and closing."
[0040]
Display unit C5 is, for example, a liquid crystal display monitor, for displaying a computer results of processing performed by the C passengers. The operation unit C6, for example, a keyboard, a mouse or the like is used, passengers predetermined operation input, it is possible to perform instruction. The display unit C5 and operation unit C6 of the smartphone 11 is used as a touch panel display superimposed. Also, the elevator control device 20A, the 20B, the display unit C5 is used as a display panel for displaying the destination floor registered, the operation unit C6 is used as a touch panel sensor for registering the destination floor. Incidentally, the car call estimation unit 30 may not include a display unit C5 and operation unit C6.
[0041]
Non-volatile storage C7, for example, HDD (Hard Disk Drive), SSD (Solid State Drive), a flexible disk, an optical disk, a magneto-optical disk, CD-ROM, CD-R, magnetic tape, memory, etc. of the non-volatile is used It is. The nonvolatile storage C7, OS (Operating System), in addition to the various parameters, a program for causing a computer C are recorded. The storage device 40 is composed of a non-volatile storage C7. Incidentally, the smartphone 11, elevator control unit 20A, 20B, car call estimation unit 30 may comprise a non-volatile storage C7. Volatile storage C7 and ROMC2 is used as an example of a non-transitory recording medium program computer readable storing performed by each device of the elevator system 1A, the nonvolatile storage C7, this program is permanently It is stored to.
[0042]
Network interface C8, for example, be used NIC (Network Interface Card) or the like, LAN which the terminal is connected (Local Area Network), it is possible to transmit and receive various data through a dedicated line or the like. Smartphone 11, another apparatus via the network interface C8, performs an access point, etc. and a wireless communication (not shown). Also, the elevator control device 20A, 20B is, or subjected to the smartphone 11 and radio communication via the network interface C8, or perform wired communication and car call estimation unit 30. However, the elevator control device 20A, 20B may also perform wireless communication with car call estimation unit 30 via the network interface C8.
[0043]
It will now be described car call estimation method or performed by the elevator system 1A.
Figure 6 is a flowchart showing an operation example of the elevator system 1A. This flowchart shows car call estimation unit 30 is the behavior data, an operation example of learning elevator operating state based on the operation data and passenger data. In this process, a smart phone 11, a car call estimation unit 30, the elevator control device 20A, and 20B, and which performs a series of operations in cooperation.
[0044]
While the passenger is in the peripheral area 4 shown in FIG. 1, the smartphone 11 can communicate directly to the car call estimation unit 30. Accelerometer 12 smartphone 11 has measures the acceleration, gyroscopic sensor 13 measures the angular position measuring sensor 14 measures the positional information (S1). The smartphone 11, acceleration, angular velocity, and transmits the car call estimation unit 30 the position information as the behavior data (S2). Smartphone 11, after transmitting behavior data and repeats the sensor measurement again returns to step S1.
[0045]
Similarly, the elevator control device 20A performs the sensor measurement due to the touch sensor constituting the car call buttons, etc. (S3). Data elevator control device 20A has sensor measurement is transmitted to the car call estimation unit 30 as an operation data passenger data (S4). Elevator control unit 20A, after transmitting the passenger data and travel data, repeat the sensor measurement returns to step S3.
Incidentally, the elevator control unit 20B performs the same processing as steps S3, S4 performed by the elevator controller 20A.
[0046]
Car call estimation unit 30 receives the behavior data from the smartphone 11, elevator control unit 20A, receives the operational data and passenger data from 20B (S5), stores the received data in the storage device 40 (S6). Next, car call estimation unit 30, based on the data stored in the storage device 40 performs a learning process (S7), to store the learning result into the storage device 40. The car call estimation unit 30, after the learning process, repeated reception of the behavior data returns to step S5.
[0047]
7, based on the stored learned results in FIG. 6 is a flowchart showing an operation example of registering the elevator system 1A the car call. In this process, it is assumed that the passengers towards the building 2B from building 2A.
[0048]
Processing in steps S11, S12 performed by the smartphone 11 is the same as the steps S1, S2 in FIG. 6, a detailed description thereof will be omitted.
[0049]
Car call estimation unit 30 stores the smartphone 11 receives behavior data (S13), the behavior data in the storage device 40 (S14). Next, car call estimation unit 30 reads the learning result stored in the learning process shown in FIG. 6 from the storage unit 40, estimates the behavior of passengers on the basis of the learning result (S15).
[0050]
Next, car call estimation unit 30 determines whether the behavior behavior of passengers corresponding to a car call (S16). If the behavior of the passenger is not behavior corresponding to car calls, car call estimation unit 30 returns to step S13, and repeats the process of receiving the behavior data. Is not a behavior corresponding to the car call, for example, a passenger leaving the building 2A is not directed to the building 2B, a case has been moved to another location.
[0051]
If the behavior of the passenger is the behavior that corresponds to the car call, car call estimation unit 30 transmits the request of the car call registration to the elevator control unit 20B for controlling the operation of the passenger is determined to boarding the car (S17) . The behavior corresponding to car calls, for example, a passenger leaving the building 2A is a case towards the building 2B.
[0052]
Elevator control unit 20B receives the request for the car call registration or the car call estimation unit 30 (S18), actually registering a car call (S19). As a result, passengers arriving at the building. 2B, can be directed to the destination floor to ride in the car that has already arrived. Thereafter, the elevator control unit 20B returns to step S18, and repeats the reception of the car call registration.
Incidentally, the passenger exits the building 2B facing the building 2A, when using the elevators of the building. 2A, the process of step S18, S19 is performed by the elevator controller 20A.
[0053]
Behavior of passengers in the elevator system 1A according to the first exemplary embodiment described, by using a smart phone 11 passengers carrying a behavior measuring unit 10, the built-in sensor of the smartphone 11 moves between a plurality of elevators or to measure. Then, the car call estimation unit 30, the number of passengers, the car calls or were estimated on the basis of the behavior of the passenger, by sending to the passenger destination of the elevator control device, called the car in the passenger of the destination is registered in advance that. For this reason, the passenger is more likely that the car will arrive before arriving at the elevator of the destination, passengers arriving at the elevator of the destination, it is possible to immediately ride in the car. As described above, since the passenger car call is registered during the movement, due to the fact that the passengers to wait in front of the destination of the elevator, it is possible to reduce the waiting time for the car to arrive. Thus elevator system 1A, to estimate the call by the behavior of passengers, since it is possible to perform optimum operation control for the passenger, it is possible to travel control efficiently elevator.
[0054]
[Second embodiment]
Next, a description will be given elevator system according to a second embodiment of the present invention.
Figure 8 is a block diagram showing an internal configuration of the elevator system 1B.
[0055]
Elevator system 1B is, the elevator control device 20A, 20B, car call estimation unit 30, in addition to the storage device 40, as an example of the behavior measuring unit 10, or reservation system 16A is installed in the peripheral area 4 shown in FIG. 1, 16B equipped with a. Car reservation apparatus 16A is connected to the elevator control device 20A, the car reservation device 16B is connected to the elevator control device 20B.
[0056]
Car reservation device 16A, 16B is building 2A, are those used by the passenger to register the installed elevator car call reservations 2B, it comprises a user interface for passengers to reserve destination floor. For example, a passenger, if you enter a destination floor through the car reservation device 16A, elevator machine number having a cage to arrive at the destination floor that has been input is displayed on the car reservation device 16A. For this reason, the passenger can get into the car with the elevator is displayed on the car reservation apparatus 16A Unit number.
[0057]
In this way the car reservation apparatus 16A sends the car call of the reservation or including a destination floor to the elevator control unit 20A, to register a car call of the reservation to the elevator control device 20A. Therefore, the car reservation device 16A measures the destination floor information based on the destination floor the passenger entered, the number of passengers information, as the behavior data. This behavior data, include call you or has been reserved from the car reservation device 16A. However, since there are passengers ride on the car without entering the car reservation system 16A, the number of passengers of the information contained in the behavior data are not necessarily accurate. The car reservation apparatus 16A transmits the behavior data that is a combination of destination floor information and the number of passengers at some point in the elevator control device 20A.
[0058]
Elevator control unit 20A, to register a normal car call on the basis of the reservation registration of the car call has been received from the car reservation device 16A. Also, the elevator control device 20A transmits the behavior data received from the car reservation device 16A to the car call estimation unit 30.
[0059]
Here, after the passengers using the elevators of the building 2A, by moving the building 2B, it is assumed to utilize the elevator building 2B. Car call estimation unit 30, based on the behavior of the passenger estimated from the behavior data, passengers using the car reservation device 16A estimates the car call elevators to use. At this time, elevator car call is estimated, the elevator control device 20A without a lift which is controlled by the elevator control device 20B. The car call estimation unit 30 stores the behavior data in the storage device 40. Car call estimation unit 30, and the learning results that have been learned in the past, and the latest of behavior data, by processing collectively, the car call to estimate the exact number of passengers of the passenger to use the elevator of the building 2B and transmits it to the elevator control unit 20B. Elevator control unit 20B, to register a car call has been received from the car call estimation unit 30. This allows the passenger to use the elevator of the building 2B.
[0060]
Incidentally, the car reservation device 16B, the operation of the elevator control device 20B car reservation device 16A, is similar to the operation of the elevator control device 20A. Passengers If you enter a destination floor with the car reservation device 16B will be referred to you or car call estimation unit 30 has been estimated is sent to the elevator control unit 20B, to register the elevator control unit 20B the car is called.
[0061]
It will now be described car call estimation method or performed by the elevator system 1B.
Figure 9 is a flowchart showing an operation example of the elevator system 1B. In this process, to a car reservation device 16A, and elevator control apparatus 20A, the car call estimation unit 30, and that performs a series of operations in cooperation.
[0062]
First, the car reservation apparatus 16A performs the sensor measurement by buttons or a touch panel as a user interface for passengers to reserve destination floor (S21). Car reservation device 16A is by a sensor measuring, acquires the contents inputted through the buttons or a touch panel. Then, the car reservation apparatus 16A transmits the destination floor reservation data as behavior data to the elevator control device 20A (S22). The destination floor reservation data, include the reservation of the car calls. Car reservation apparatus 16A, after completion of transmission of the destination floor reservation data, waits for an input of the passenger returns to step S21.
[0063]
Elevator control device 20A receives the destination floor reservation data from the car reservation device 16A (S23), to organize the destination floor reservation in conjunction with existing destination floor reservation (S24). For example, a passenger using the car reservation device 16A to the first is then reserved the fourth floor, also the passengers using the second-car reservation device 16A to reserve the fourth floor. In this case, the elevator control unit 20A instead of having two record to the fourth floor and destination floor are reserved, organize to have a fourth order one record. The processing to combine the destination floor reservation to duplicate this way in one of the record referred to as the "organize".
[0064]
After step S24, the elevator control device 20A transmits the estimation unit 30 car calls the destination floor reservation data (S25). Elevator control unit 20A, after completion of transmission of the destination floor reservation data and waits to receive a destination floor reservation data returns to step S23.
Car reservation device 16B and the elevator control unit 20B can perform the same processes as in steps S21 ~ S25 performed by the car reservation device 16A and the elevator control device 20A.
[0065]
Car call estimation unit 30 receives the destination floor reservation data from the elevator control device 20A (S26), stores the destination floor reservation data to the storage device 40 (S27). The car call estimation unit 30 performs a learning process based on the destination floor reservation data stored (S28), stores the learning result in the storage device 40. After the learning process, the car call estimation unit 30 waits for reception of the destination floor reservation data returns to step S26.
Incidentally, the car reservation device 16B and the elevator control unit 20B performs the same processing as steps S21 ~ S25 performed by the car reservation device 16A and the elevator control device 20A.
[0066]
10, based on the stored learned results in FIG. 9 is a flowchart showing an operation example of registering the elevator system 1B the car call. In this process, it is assumed that the passengers towards the building 2B from building 2A.
[0067]
Car reservation device 16A, elevator control apparatus 20A, processing in steps S31 ~ S37 performed by the car call estimation unit 30 is the same as the processing in steps S21 ~ S27 of FIG. 9, a detailed description thereof is omitted.
[0068]
After the destination floor reservation data in the storage device 40 is stored at step S37, the car call estimation unit 30 from the storage device 40 reads the learning result, to estimate the behavior of the passenger (S38). Next, car call estimation unit 30 determines whether the behavior behavior of passengers corresponding to a car call (S39). If the behavior of the passenger is not behavior corresponding to car calls, car call estimation unit 30 returns to step S36, waits for reception of the destination floor reservation data. If the behavior of the passenger is the behavior that corresponds to the car call, car call estimation unit 30 sends the request of the car call registration to the elevator control unit 20B for controlling the elevator operation of building 2B it is determined that the passenger boarding to (S40).
[0069]
Elevator control unit 20B receives the request for the car call registration or the car call estimation unit 30 (S41), actually registering a car call (S42). Thus, passengers towards the building 2B from building 2A can utilize the elevator building 2B. Thereafter, the elevator control unit 20A returns to step S33, waits for reception of the destination floor reservation data.
[0070]
[Third Embodiment Example]
Next, a description will be given elevator system according to a third embodiment of the present invention.
Figure 11 is a block diagram showing an internal configuration of the elevator system 1C.
[0071]
Elevator system 1C includes elevator control device 20A, 20B, car call estimation unit 30, in addition to the storage device 40, as an example of the behavior measuring unit 10, and a security gate 17 installed in the peripheral area 4 shown in FIG. Security gate 17, the elevator control device 20A, and 20B, is connected to the car call estimation unit 30, for limiting the movement of the passengers.
[0072]
If the passenger is a portable electronic device such as a non-contact ID card and the electronic device approaches the reader of the security gate 17, the reading unit reads the authentication information such as ID from the electronic device. Then, the security gate 17 performs the passenger authentication based on the authentication information, that a permission or refusal through the security gate 17 controls the flow of passengers. Car call estimation unit 30 can passengers use the behavior data indicating that it has passed through the security gate 17. For example, the security gate 17 is to measure the number of passengers passengers passed through the security gate 17, the number of passengers is used as the behavior data. Passengers by the direction passing through the security gate 17, passenger traveling direction is found. Thus, the behavior data, by including the direction of the passengers passed through the security gate 17, the car call estimation unit 30, and based on the behavior data was transferred from the building 2A in the direction of building 2B passengers, building You can grasp the direction of movement of passengers moving from the object 2B in the direction of the building 2A.
[0073]
Further, an electronic device passenger mobile may store including destination floor registration data destination floor has been registered passenger customary credentials. Therefore, the security gate 17, when the passenger passes through the security gate 17, to measure the destination floor of the passenger, it is also possible to include this destination floor on the behavior data. Then, the security gate 17 transmits the behavior data, the elevator control device 20A, 20B car call in the estimation unit 30 Toka.
[0074]
Car call estimation unit 30 stores the behavior data received in the storage device 40. Also, car call estimation unit 30, a past behavior data stored in the storage device 40, the result of estimating the latest behavior data and collectively correct number of passengers was treated with destination floor, elevator passengers to use elevator controller 20A that controls and transmits to 20B.
[0075]
In such construction as the elevator system 1C, for example, if it is registered in the destination floor registration data floor with passenger arrival at attendance as a destination floor, destination floor only passengers during attendance to pass through the security gate 17 cage to call is registered. However, if the destination floor registration data to the electronic device is stored, if there is estimation section 30 car call to the elevator system 1C, when the passenger passes through the security gate 17, which is preregistered to the destination floor registration data car call registration to the destination floor is always performed.
[0076]
However, the passengers other than the attendance time, in some cases, get off at different floors from the floor that has been pre-registered in the destination floor registration data. In this case, the car call estimation unit 30, based on the correlation between the time and the destination floor, in a time zone other than the attendance was estimated from the actual results, generate a car call to the pre-registration has been registered floor other than the destination floor it is possible to.
[0077]
It will now be described car call estimation method or performed by the elevator system 1C.
Figure 12 is a flowchart showing an operation example of the elevator system 1C. In this process, the security gate 17, and elevator control apparatus 20A, the car call estimation unit 30, and that performs a series of operations in cooperation.
[0078]
First, the security gate 17, through the reading unit, measures the authentication information of the ID card (S51). The measurement includes processing such as authentication credentials. Thereafter, the authentication result of the authentication information, the processing as was to allow the passage of the security gate 17.
[0079]
Next, the security gate 17 transmits a destination floor reservation data for one person worth as behavior data to the elevator control device 20A (S52). The destination floor reservation data, include the reservation of the car calls. Security gate 17, after the completion of the transmission of the destination floor reservation data, waits for an input of the passenger returns to the step S51.
[0080]
Elevator control device 20A receives the destination floor reservation data from the security gate 17 (S53), to organize the destination floor reservation in conjunction with existing destination floor reservation (S54). The elevator control apparatus 20A transmits to the estimation part 30 car calls the destination floor reservation data (S55). Elevator control unit 20A, after completion of transmission of the destination floor reservation data and waits to receive a destination floor reservation data returns to step S53.
[0081]
Car call estimation unit 30 receives the destination floor reservation data from the elevator control device 20A (S56), stores the destination floor reservation data to the storage device 40 (S57). The car call estimation unit 30 performs a learning process based on the destination floor reservation data stored (S58), stores the learning result in the storage device 40. After the learning process, the car call estimation unit 30 waits for reception of the destination floor reservation data returns to step S56.
Incidentally, the security gate 17 and the elevator control unit 20B performs the same processing as that in steps S51 ~ S55 performed by the security gate 17 and the elevator control device 20A.
[0082]
13, based on the stored learned results in FIG. 12 is a flowchart showing an operation example of registering the elevator system 1C the car call. In this process, it is assumed that the passengers towards the building 2B from building 2A.
[0083]
Security gate 17, the elevator control apparatus 20A, processing in steps S61 ~ S67 performed by the car call estimation unit 30 is the same as the processing in steps S51 ~ S57 of FIG. 12, detailed description thereof will be omitted.
[0084]
After the destination floor reservation data is stored at step S67, the car call estimation unit 30 from the storage device 40 reads the learning result, to estimate the behavior of the passenger (S68). Next, car call estimation unit 30 determines whether the behavior behavior of passengers corresponding to a car call (S69). If the behavior of the passenger is not behavior corresponding to car calls, car call estimation unit 30 returns to step S66, the waits for reception of the destination floor reservation data. If the behavior of the passenger is the behavior that corresponds to the car call, car call estimation unit 30 sends the request of the car call registration to the elevator control unit 20B for controlling the elevator operation of building 2B it is determined that the passenger boarding to (S70).
[0085]
Elevator control unit 20B receives the request for the car call registration or the car call estimation unit 30 (S71), actually registering a car call (S72). Thus, passengers towards the building 2B from building 2A can utilize the elevator building 2B. Thereafter, the elevator control unit 20A returns to step S63, waits for reception of the destination floor reservation data.
[0086]
[Fourth Embodiment Example]
Next, a description will be given elevator system according to a fourth embodiment of the present invention.
Figure 14 is a block diagram showing an internal configuration of the elevator system 1D.
[0087]
Elevator system 1D includes similar to the elevator system 1A, a smart phone 11, the elevator control device 20A, and 20B, the car call estimation unit 30, a storage device 40. Smartphone 11, elevator control unit 20A, is connected to 20B. Smartphone 11, automatically includes an application 18 to register the car call, the smartphone 11 is used as an example of a behavior measuring unit 10.
[0088]
Here, when the smartphone 11 approaches the elevator control device 20A, the smartphone 11 that can communicate connection may only elevator control device 20A. At this time, the smartphone 11 to implement transmission and reception of the elevator control device 20A and the data. For example, a passenger carrying the smartphone 11, when operated by the elevator controller 20A approaches the elevator to be controlled, the application 18, the behavior data wirelessly transmits containing destination floor to the elevator control device 20A. Elevator control unit 20A, to organize the behavior data received, transmits the behavior data to the car call estimation unit 30. Car call estimation unit 30 registers the car call to the elevator control device for controlling the elevator passengers determined based on the behavior of the passenger estimated from the behavior data utilized (elevator control device 20A, either 20B).
[0089]
Further, when the passenger in possession of the smartphone 11 has moved to the vicinity to communicate connection with the elevator control device 20B, the smartphone 11 transmits the behavior data to the elevator control device 20B. This behavior data, after being used for estimation of car calls either by car call estimation unit 30, is stored in the storage device 40.
[0090]
However, the smart phone 11, the elevator control device 20A, and a 20B, for example, may communicate through the Internet. In this case, the smartphone 11, elevator control device 20A, regardless of whether there near 20B, it is possible to communicate elevator control device 20A, and 20B.
[0091]
It will now be described car call estimation method or performed by the elevator system 1D.
Figure 15 is a flowchart showing an operation example of the elevator system 1D. In this process, a smart phone 11, and elevator control apparatus 20A, the car call estimation unit 30, and that performs a series of operations in cooperation.
[0092]
While the passenger is in the peripheral area 4 shown in FIG. 1, the smartphone 11 can communicate directly to the car call estimation unit 30. Accelerometer 12 smartphone 11 has measures the acceleration, gyroscopic sensor 13 measures the angular position measuring sensor 14 measures positional information (S81). The smartphone 11, acceleration, angular velocity, and transmits the behavior data including position information to the elevator control device 20A (S82). This is the behavior data includes the destination floor reservation data previously set by the application 18. Smartphone 11, after transmitting behavior data and repeats the sensor measurement again returns to step S81.
[0093]
Elevator control device 20A receives the behavior data from the smartphone 11 (S83), based on the destination floor reservation data included in the behavior data, organize destination floor reservation in conjunction with existing destination floor reservation (S84). The elevator control device 20A transmits the car call estimation unit 30 the behavior data including the destination floor reservation data (S85). Elevator control unit 20A, after completion of the transmission of the behavior data including the destination floor reservation data and waits to receive the behavior data and the destination floor reservation data returns to step S83.
Smartphone 11 and elevator control unit 20B performs the same processing as that in steps S81 ~ S85 performed by the smartphone 11 and elevator control device 20A.
[0094]
Car call estimation unit 30, the elevator control device 20A, upon receiving the behavior data including the destination floor reservation data from 20B (S86), stores the behavior data and the destination floor reservation data to the storage device 40 (S87). The car call estimation unit 30, based on the behavior data and the destination floor reservation data stored by executing a learning process (S88), stores the learning result in the storage device 40. After the learning process, the car call estimation unit 30 waits for reception of the destination floor reservation data returns to step S86.
[0095]
16, based on the stored learned results in FIG. 15 is a flowchart showing an operation example of registering the elevator system 1D the car call. In this process, it is assumed that the passengers towards the building 2B from building 2A.
[0096]
Processing in steps S91 ~ S97 performed by the smart phone 11, the elevator control apparatus 20A, the car call estimation unit 30 is the same as the processing in steps S81 ~ S87 of FIG. 15, detailed description thereof is omitted.
[0097]
After the behavior data and the destination floor reservation data is stored at step S97 in the storage device 40, the car call estimation unit 30 from the storage device 40 reads the learning result, to estimate the behavior of the passenger (S98). Next, car call estimation unit 30 determines whether the behavior behavior of passengers corresponding to a car call (S99). If the behavior of the passenger is not behavior corresponding to car calls, car call estimation unit 30 returns to step S96, waits for reception of the destination floor reservation data. In embodiments of the present invention, is not a behavior corresponding to the car call, for example, by learning the past behavior data, that either reservation registered in the car reservation device 16A has been canceled, is registered in the car reservation device 16A passengers are included that did not get off at the destination floor of Takago reservation.
[0098]
If the behavior of the passenger is the behavior that corresponds to the car call, car call estimation unit 30 transmits the request of the car call registration to the elevator control unit 20B for controlling the operation of the passenger is determined to boarding the car (S100) .
[0099]
Elevator control unit 20B receives the request for the car call registration or the car call estimation unit 30 (S101), actually registering a car call (S102). Thus, passengers towards the building 2B from building 2A can utilize the elevator building 2B. Thereafter, the elevator control unit 20A returns to step S93, waits for reception of the destination floor reservation data.
[0100]
[Fifth Embodiment Example]
Next, a description will be given elevator system according to a fifth embodiment of the present invention.
Figure 17 is a block diagram showing an internal configuration of the elevator system 1E.
[0101]
Elevator system 1E is elevator control device 20A, 20B, car call estimation unit 30, in addition to the storage device 40, as an example of the behavior measuring unit 10, a stereo camera 50A installed in the peripheral area 4 shown in FIG. 1, the 50B provided. Stereo cameras 50A, 50B is connected to a car call estimation unit 30. Stereo cameras 50A, 50B, based on the shape and distance of the passengers, passenger number, used moving speed, and moving direction as an example of a three-dimensional measuring unit for measuring. The imaging possible stereo camera 50A a three-dimensional image, instead of 50B, a two-dimensional image may be used capable of imaging cameras. Also, stereo cameras 50A, 50B can be imaged either a moving image or a still image.
[0102]
Stereo cameras 50A, 50B recognizes the shape of the imaged subject (object), it is possible to measure the distance to the object accurately. Therefore, the stereo camera 50A, 50 was measured based on the shape and distance of the object, respectively, and transmits passenger number, passenger moving speed, the car call estimation unit 30 behavior data including the moving direction of the passenger. Car call estimation unit 30, the stereo camera 50A, 50B in the imaging region of, based on a change in the behavior data, it is possible to estimate the number of passengers riding in the car for each elevator.
[0103]
It will now be described car call estimation method or performed by the elevator system 1E.
Figure 18 is a flowchart showing an operation example of the elevator system 1E. In this process, the stereo camera 50A, and elevator control apparatus 20A, the car call estimation unit 30, and that performs a series of operations in cooperation.
[0104]
Stereo camera 50A captures the stereo image peripheral area 4 as an imaging area (S 111). Then, the stereo camera 50A performs predetermined image processing on the stereo image data, number of passengers moving the peripheral area 4, moving speed, and measures the direction of movement (S112). Then, the stereo camera 50A is the number of the detected passenger, and transmits the moving speed, and the car call estimation unit 30 behavior data including the moving direction (S113). Stereo camera 50A, after transmitting behavior data, repeats the imaging returns to step S111.
[0105]
Here, the elevator control unit 20A, when the car call registration by car call reservation or registered by the passenger (S114), and transmits the estimated portion 30 car call the car call registration information (S115). For example, when the car call registration is made through the elevator control device 20A in a state where a passenger by the stereo camera 50A is not imaged is transmitted to the elevator control device 20A the car call car call registration information estimation unit 30. As a result, the car call estimation unit 30, can be stereo camera 50A to learn the car calls or have been registered from the location that is not picked up.
Stereo camera 50B and elevator control unit 20B performs the same processing as that in steps S 111 ~ S115 performed by the stereo camera 50A and elevator control device 20A.
[0106]
Car call estimation unit 30 receives the behavior data from the stereo camera 50A, upon receiving the car call registration information or from the elevator control device 20A (S116), to save the car call registration information Toka behavior data in the storage device 40 (S117) . The car call estimation unit 30, based on the saved behavior data and the car call registration information performs a learning process (S118), stores the learning result in the storage device 40. After the learning process, the car call estimation unit 30, the reception waiting for the behavior data and the car call registration information back to the step S116.
[0107]
19, based on the stored learned results in FIG. 18 is a flowchart showing an operation example of registering the elevator system 1E the car call. In this process, it is assumed that the passengers towards the building 2B from building 2A.
[0108]
Stereo camera 50A, the processing of steps S121 ~ S125 performed by the elevator controller 20A, car call estimation unit 30 is the same as the processing of steps S111 ~ S113, S116, S117 of FIG. 18, detailed description thereof is omitted .
[0109]
After the behavior data is stored at step S125, the car call estimation unit 30 from the storage device 40 reads the learning result, to estimate the behavior of the passenger (S126). Next, car call estimation unit 30 determines whether the behavior behavior of passengers corresponding to a car call (S127). If the behavior of the passenger is not behavior corresponding to car calls, car call estimation unit 30 returns to step S124, the waits for reception of the behavior data. If the behavior of the passenger is the behavior that corresponds to the car call, car call estimation unit 30 transmits the request of the car call registration to the elevator control unit 20B for controlling the operation of the passenger is determined to boarding the car (S128) .
[0110]
Elevator control unit 20B receives the request for the car call registration or the car call estimation unit 30 (S129), actually registering a car call (S130). Thus, passengers towards the building 2B from building 2A can utilize the elevator building 2B. Thereafter, the elevator control unit 20B returns to step S129, it waits for reception of the car call registration.
[0111]
Sixth Embodiment example]
Next, a description will be given of a sixth elevator system according to an exemplary embodiment of the present invention.
Figure 20 is a block diagram showing an internal configuration of the elevator system 1F.
[0112]
Elevator system 1F includes elevator control device 20A, 20B, car call estimation unit 30, in addition to the storage device 40, as an example of the behavior measuring unit 10, the installed LiDAR (Light Detection and Ranging in the peripheral area 4 shown in FIG. 1 ) equipped with a 60. LiDAR60 is a kind of three-dimensional measurement unit, passenger shape, the distance to the passenger is measured by measuring the reflection of the laser irradiated to the passengers, to measure passenger number, moving speed, and moving direction 3 used as an example of the dimension measurement portion.
[0113]
LiDAR60 recognizes the passengers on the plane, it is possible to generate a three-dimensional map, and transmits the number of passengers, behavior data including a moving vector i.e. the moving speed and moving direction to the car call estimation unit 30 a. Car call estimation unit 30, based on the behavior of the passenger estimated from the behavior data, to determine the confluence or departure of a passenger with respect to the traffic flow in the peripheral region 4, estimates the car calls. The elevator system 1F, by providing the LiDAR60, stereo camera 50A according to an exemplary fifth embodiment described above, the same system configuration and elevator system 1E provided with 50B.
[0114]
[Seventh Embodiment Example]
Next, a description will be given elevator system according to a seventh embodiment of the embodiment of the present invention.
Figure 21 is a block diagram showing an internal configuration of the elevator system 1G.
[0115]
Elevator system 1G includes elevator control device 20A, 20B, car call estimation unit 30, in addition to the storage device 40, as an example of the behavior measuring unit 10, installed in the peripheral area 4 shown in FIG. 1, at railway station building and the like an automatic ticket gate 70 that is used. Automatic ticket gate 70, to limit the movement of passengers.
[0116]
Here, the train arrival time, and the ticket gate issuing tickets number of people, that there is a correlation, and operation management data after a certain time. The automatic ticket gate 70 measures the number of passengers passing through the automatic ticket gate 70, transmits the behavior data including the number of passengers car call in the estimation unit 30. Car call estimation unit 30, on the basis of the behavior of the passengers was estimated from the behavior data, for example, when the train arrives, after how much time has elapsed, in which floor, how much of the car of the number of people call occurs, it is estimated that. In particular, at the time of going to work (for example, 8 am to 9 o'clock) in, for example, because the tendency of the car call or not to issue the lobby floor is likely to be high, the car call estimation unit 30, to take a simple correlation analysis technique it is also possible. Elevator system 1G, by providing an automatic ticket gate 70 in the peripheral area 4 shown in FIG. 1, the same system configuration and elevator system 1C comprises a security gate 17 according to the embodiment of the third embodiment described above .
[0117]
Eighth Embodiment example]
Next, a description will be given elevator system according to an eighth embodiment of the embodiment of the present invention.
Figure 22 is a block diagram showing an internal configuration of the elevator system 1H.
[0118]
Elevator system 1H is elevator control device 20A, 20B, car call estimation unit 30, in addition to the storage device 40, as an example of the behavior measuring unit 10, and a vehicle allocation system 80 used by taxi companies, or the like. Dispatch system 80, for example, by a passenger to move the lobby floor as a peripheral region 4, is used as an example of a management system for managing the movement of a particular elevator.
[0119]
Dispatch system 80, for example, by Geisha time taxi is reserved, the passengers to move to a specific time zone managed by the dispatch system 80 persons, the destination (e.g., buildings 2A) behavior data including It is sent to the car call estimation unit 30.
[0120]
Car call estimation unit 30, based on the behavior of the passenger estimated from the behavior data, for example, to determine the confluence or departure of a passenger with respect to the traffic flow in the peripheral region 4 descending to the lobby floor before the reserved time, estimates the car call . Then, the car call estimation section 30, the registration of the car call to the destination the lobby floor from the floor who is a subscriber, it is possible to perform on the elevator control device 20A. Also, if you can present a dispatch system 80 the car is called the taxi arrival time in the estimation unit 30, the car call estimation unit 30, for example, the car until the arrival time is to perform the car call registered to arrive at the lobby floor it is possible to increase the elevator of convenience.
[0121]
Moreover, the elevator system 1H, for example, captures congestion information from the road traffic information supplied from outside, the occurrence of delay due to traffic congestion, may be passenger behavior data riding in an automobile. In this case, to cancel the pre-booking a car call of registration, or by the car call registration is postponed, once because you can use the car the car call has been registered in other applications, the operating efficiency of the elevator it can be increased. Elevator system 1H, by cooperation with the dispatch system 80, the elevator system 1B equivalent system configuration with a second embodiment of the squirrel-programming apparatus 16A according to the embodiment example described above, the 16B.
[0122]
Ninth Embodiment Example]
Next, a description will be given elevator system according to a ninth embodiment of the embodiment of the present invention.
Figure 23 is a block diagram showing an internal configuration of the elevator system 1 J.
[0123]
Elevator system 1J includes elevator control device 20A, 20B, car call estimation unit 30, in addition to the storage device 40, as an example of the behavior measuring unit 10 includes a schedule management system 90. The schedule management system 90, for example, by a passenger to move the building Conference Room as a peripheral region 4, is used as an example of a management system for managing the movement of a particular elevator.
[0124]
The schedule management system 90, for example, by passengers schedule is registered, the behavior data including number of passengers moving to a specific time zone managed by the schedule management system 90, the destination (e.g., buildings 2B) and it transmits to the car call estimation unit 30.
[0125]
Car call estimation unit 30, based on the behavior of the passenger estimated from the behavior data, for example, buildings 2A determines merging or withdrawal of passengers for traffic flow in the peripheral region 4 toward the building-2B, estimated car call to. Here, that the schedule management system 90 if was able to detect the conference start time, to pre-run the registration of the car call or a destination floor the floor there is a conference room from the floor where there are participants in the conference before the start time it is possible. Also, if the meeting number that is registered in the schedule management system 90 is large, the car call estimation unit 30 is capable of executing a plurality of car call registration based on the maximum loading weight of the car.
[0126]
Also, car call estimation unit 30 stores a descending number of people to floors with Conference Room as passenger behavior in the storage unit 40 before and after the start time of the meeting. The car call estimation unit 30 estimates as the end time multiplication toll getting-off number read from the storage device 40 prior to the meeting, also possible to perform the registration of the car call to floor with conference room beforehand and Become.
[0127]
Tenth Embodiment Examples of]
will now be described elevator system according to a tenth embodiment of the embodiment of the present invention. Figure 24 is a block diagram showing an internal configuration of the elevator system 1K.
[0128]
As shown in the upper part of FIG. 24, the elevator system 1K includes elevator control device 20A, 20B, 20C, car call estimation unit 30, a storage device 40. FIG 24, three adjacent buildings buildings 2A, building 2B, each of the building 2C, elevator control unit 20A, 20B, that 20C is installed is shown. The building 2A, during 2B, it is assumed that the building 2B, 2C plurality of behavior measuring unit 10 in the peripheral area 4 between are installed. Architecture 2B from building 2A, referred to as the flow of passengers toward the 2C and traffic flow in the peripheral region 4.
[0129]
Here, as shown in the lower part of FIG. 24, described the behavior of the passenger moving between the buildings.
First, building 2A passenger P1 of 8 people from the installed car is down to at the time T0, exiting the building 2A.
8 passengers P1 is moved to the building 2B from buildings 2A. On the way moving from the passenger P1 of eight time T1 2 passengers P2 is disengaged, the 6 passengers P3, P4 reaches the building 2B.
And, elevator to 3 passengers P4 of buildings 2B is boarding. For this reason, passengers were exiting the building 2B will be of 3 passengers P3.
[0130]
The building-2C building 2B 3 passengers P3 moves. In way of movement, the time T3 to 3 passengers P3 from one passenger P5 is disengaged, two passengers P6 reaches the building 2C.
Then, two passengers P6 is get into the elevator of the building 2C.
[0131]
Time Tn (= T0) in building passenger P1 of eight from elevator 2A is down as shown in FIG. 24, a case where the time Tn + 2 (= T2) lift 3 passengers P4 building 2B to ride Suppose. In this case, the car call estimation unit 30, the time in building 2C Tn + 2 + f (= T4) huge car call may occur, it is possible to perform such estimation. Here, Tf, if the time indicated by T4-T2, represents the time that the registration of the elevator car call in buildings 2C can be reliably performed.
[0132]
Thus car call estimation unit 30 measures a series of behavior of passengers, by increasing the accuracy of estimating the car call, it is possible to improve the travel efficiency of the elevator by elevator controller 20A ~ 20C. Incidentally, the car call estimation unit 30 can estimate a car call even when other passengers are merged. For example, if a passenger leaving the building 2B during certain times to move the building 2C, car call estimation unit 30, taking into account the number and direction of movement of passengers joins during this time, building 2A the number of passengers moving to the building-2B, it is possible estimate the car calls by adding the number of merging the passengers. Then, in the elevator system 1K, passengers leaving the concept of merging is also applicable to elevator system according to the other exemplary.
[0133]
The present invention is not limited to the above described embodiments, the range and various other applications without departing from the gist of the present invention described in the claims, it may take a modified example of course.
For example, the above described embodiments are those described apparatus and structure of the system details and specifically to better illustrate the present invention, not limited to those having the necessarily all described configurations. Further, where by replacing a part of the configuration of the embodiment examples described the configuration of another example of the embodiment are possible, further configured for another example of the embodiment to the configuration of an embodiment example that it is also possible to add. A part of the configuration of the example of the embodiment, addition of other configurations, deletion, can also be substituted.
The control lines and information lines indicates what is believed to be necessary for explanation, not necessarily indicate a not all control lines and information lines on products. In practice, almost all of the configurations may be considered to be connected to each other.
DESCRIPTION OF SYMBOLS
[0134]
1, 1A ~ 1K ... elevator system, 3 ... monitoring center, 4 ... peripheral region, 10 ... behavior measuring unit 11 ... smartphone, 30 ... car call estimation unit, 40 ... storage device, 16A, 16B ... reservation device, 17 ... security gate, 18 ... application, 20A ~ 20C ... elevator controller, 50A, 50B ... stereo camera, 60 ... LiDAR, 70 ... automatic ticket gate, 80 ... vehicle allocation system, 90 ... schedule management system
The scope of the claims
[Requested item 1]
A behavior measuring unit for outputting the behavior data behavior and by measuring the passenger to move the elevator in the peripheral region,
passenger controls operation of the elevator, the elevator operation data, and the passenger car to use the elevator and the elevator control device for outputting a passenger data indicating that the,
the behavior of the passenger estimated based on the behavior data, the relationship between the elevating floor and the number of passenger in the passenger based on the operational data and the passenger data using learned learning result includes the estimated elevator to car call occurs, the car call estimation unit estimated the car call is registered in the elevator control device, the
elevator system.
[Requested item 2]
The behavior measuring unit is an electronic device the passenger is portable,
the behavior data, the number of the passengers, includes moving speed, and moving direction,
the car call estimation unit, based on the behavior of the passenger Te, wherein determining the merging or withdrawal of the passenger relative to the peripheral region of traffic flow, the passenger who carries the electronic device estimates the call the squirrel of the elevators to use
elevator system according to claim 1.
[Requested item 3]
The electronic device transmits the behavior data to the car call estimation unit,
the car call estimation unit, the passenger is determined whether or not to use the elevator based on the behavior of the passenger, said passenger registering the car call on the elevator control device for controlling the elevators to use
elevator system according to claim 2.
[Requested item 4]
The electronic device sends said behavior data including the destination floor to the elevator control device,
the elevator control device, to organize the behavior data, and transmits the behavior data to the car call estimation unit,
the car call estimating unit registers the car call to the elevator control device for controlling the elevator in which the passenger is determined based on the behavior of the passenger to use
the elevator system according to claim 2.
[Requested item 5]
The behavior measurement unit, is installed in the peripheral region, said an elevator control device the car call your reservation device or not to register the reservation, including a destination floor in,
said the behavior data, are reserved to the basket reservation device the car call is included,
the car call estimation unit, based on the behavior of the passenger, the passenger using the car reservation device estimates the call the squirrel of the elevators to use
elevator according to claim 1 system.
[Requested item 6]
The behavior measuring unit, the installed around the area, an automatic ticket checker or security gate for limiting the movement of the passenger,
the number of the passengers the behavior data, passing through the automatic ticket gate or the security gate include,
the car call estimation unit, based on the behavior of the passenger, the passenger has passed through the automatic ticket gate or the security gate to estimate the elevator the car call to use
according to claim 1 Elevator system.
[Requested item 7]
The behavior measuring unit is installed in the peripheral area, based on the shape and distance of the passenger, the number of the passengers, a three-dimensional measuring unit for measuring a moving speed, and moving direction,
the behavior data, number of the passengers, traveling speed, and includes a moving direction,
the car call estimation unit, based on the behavior of the passenger, it is determined merging or withdrawal of the passenger relative to the traffic flow in the peripheral region, the car call estimating the
elevator system according to claim 1.
[Requested item 8]
The behavior measuring unit is a management system for managing the movement of a particular of the elevator by the passenger,
the behavior data, the number of the passengers to move to a specific time zone managed by the management system and, destination is included,
the car call estimation unit, based on the behavior of the passenger, it is determined merging or withdrawal of the passenger relative to the traffic flow in the peripheral region, estimates the car call
of claim 1 Elevator system.
[Requested item 9]
And outputting the behavior data behavior and by measuring the passenger to move the elevator in the peripheral region,
and controls the operation of the elevator, that the passengers using the elevator operation data, and the elevator was getting on and off the car and outputting the passenger data indicating the the behavior of the passenger estimated based on the behavior data, the learning result of the learning the relationship between the elevating floor and the number of passenger in the passenger based on the operational data and the passenger data using said estimates the elevator to car call generated, comprising the steps of registering estimated the car call was to the elevator control device, the
car call estimation method.
| # | Name | Date |
|---|---|---|
| 1 | 201817048959.pdf | 2018-12-24 |
| 2 | 201817048959-TRANSLATIOIN OF PRIOIRTY DOCUMENTS ETC. [24-12-2018(online)].pdf | 2018-12-24 |
| 3 | 201817048959-STATEMENT OF UNDERTAKING (FORM 3) [24-12-2018(online)].pdf | 2018-12-24 |
| 4 | 201817048959-REQUEST FOR EXAMINATION (FORM-18) [24-12-2018(online)].pdf | 2018-12-24 |
| 5 | 201817048959-PROOF OF RIGHT [24-12-2018(online)].pdf | 2018-12-24 |
| 6 | 201817048959-PRIORITY DOCUMENTS [24-12-2018(online)].pdf | 2018-12-24 |
| 7 | 201817048959-POWER OF AUTHORITY [24-12-2018(online)].pdf | 2018-12-24 |
| 8 | 201817048959-FORM 18 [24-12-2018(online)].pdf | 2018-12-24 |
| 9 | 201817048959-FORM 1 [24-12-2018(online)].pdf | 2018-12-24 |
| 10 | 201817048959-DRAWINGS [24-12-2018(online)].pdf | 2018-12-24 |
| 11 | 201817048959-DECLARATION OF INVENTORSHIP (FORM 5) [24-12-2018(online)].pdf | 2018-12-24 |
| 12 | 201817048959-COMPLETE SPECIFICATION [24-12-2018(online)].pdf | 2018-12-24 |
| 13 | 201817048959-Power of Attorney-271218.pdf | 2019-01-02 |
| 14 | 201817048959-OTHERS-271218.pdf | 2019-01-02 |
| 15 | 201817048959-OTHERS-271218-1.pdf | 2019-01-02 |
| 16 | 201817048959-OTHERS-271218-.pdf | 2019-01-02 |
| 17 | 201817048959-Correspondence-271218.pdf | 2019-01-02 |
| 18 | abstract.jpg | 2019-02-06 |
| 19 | 201817048959-FORM 3 [15-02-2019(online)].pdf | 2019-02-15 |
| 20 | 201817048959-FORM 3 [09-04-2020(online)].pdf | 2020-04-09 |
| 21 | 201817048959-FORM 4(ii) [06-05-2021(online)].pdf | 2021-05-06 |
| 22 | 201817048959-OTHERS [21-05-2021(online)].pdf | 2021-05-21 |
| 23 | 201817048959-MARKED COPIES OF AMENDEMENTS [21-05-2021(online)].pdf | 2021-05-21 |
| 24 | 201817048959-Information under section 8(2) [21-05-2021(online)].pdf | 2021-05-21 |
| 25 | 201817048959-FORM-26 [21-05-2021(online)].pdf | 2021-05-21 |
| 26 | 201817048959-FORM 3 [21-05-2021(online)].pdf | 2021-05-21 |
| 27 | 201817048959-FORM 13 [21-05-2021(online)].pdf | 2021-05-21 |
| 28 | 201817048959-FER_SER_REPLY [21-05-2021(online)].pdf | 2021-05-21 |
| 29 | 201817048959-COMPLETE SPECIFICATION [21-05-2021(online)].pdf | 2021-05-21 |
| 30 | 201817048959-CLAIMS [21-05-2021(online)].pdf | 2021-05-21 |
| 31 | 201817048959-AMMENDED DOCUMENTS [21-05-2021(online)].pdf | 2021-05-21 |
| 32 | 201817048959-ABSTRACT [21-05-2021(online)].pdf | 2021-05-21 |
| 33 | 201817048959-FER.pdf | 2021-10-18 |
| 34 | 201817048959-US(14)-HearingNotice-(HearingDate-11-03-2024).pdf | 2024-02-26 |
| 35 | 201817048959-Correspondence to notify the Controller [08-03-2024(online)].pdf | 2024-03-08 |
| 36 | 201817048959-Response to office action [12-03-2024(online)].pdf | 2024-03-12 |
| 37 | 201817048959-US(14)-ExtendedHearingNotice-(HearingDate-22-03-2024).pdf | 2024-03-16 |
| 38 | 201817048959-Correspondence to notify the Controller [19-03-2024(online)].pdf | 2024-03-19 |
| 39 | 201817048959-FORM-26 [21-03-2024(online)].pdf | 2024-03-21 |
| 40 | 201817048959-Written submissions and relevant documents [01-04-2024(online)].pdf | 2024-04-01 |
| 41 | 201817048959-FORM-26 [01-04-2024(online)].pdf | 2024-04-01 |
| 42 | 201817048959-FORM 3 [01-04-2024(online)].pdf | 2024-04-01 |
| 43 | 201817048959-Annexure [01-04-2024(online)].pdf | 2024-04-01 |
| 44 | 201817048959-Response to office action [16-04-2025(online)].pdf | 2025-04-16 |
| 1 | searchE_23-10-2020.pdf |