CN111225866A - Automatic call registration system and automatic call registration method - Google Patents

Abstract

Provided are an automatic call registration system and a registration method, which can include an instruction of a destination direction and reduce the burden on a user. An automatic call registration system for controlling and managing a hall elevator service request device provided in a hall in a facility, comprising: a receiving part for obtaining the number of users of the elevator device and the destination information of the cage; a learning unit for storing and learning the number of users and destination information of the car obtained from the receiving unit as past experience data; a prediction unit that predicts destination information of the user for each floor of the entrance using the stored information of the learning unit; and a hall call registration determination unit for automatically displaying the destination direction of the car in the hall elevator service request device based on the prediction result of the prediction unit when a person is detected in the hall in the facility.

Description

Automatic call registration system and automatic call registration method

Technical Field

The present invention relates to an automatic call registration system and an automatic call registration method for an elevator apparatus, and more particularly to an automatic call registration system and an automatic call registration method for an elevator apparatus having a hall processing function for automatically inputting and displaying a moving direction in a hall of an elevator.

Background

Conventionally, a large number of proposals have been made for operation management of elevator apparatuses. Among these, a display processing function for indicating a moving direction in a hall of each floor by a user of an elevator apparatus or confirming a moving direction of a car by a display is proposed.

For example, patent document 1 discloses that "an elevator control system (24) performs elevator scheduling and elevator door control based on passenger data received from a video monitoring system. The video surveillance system includes a video processor (16) connected to receive video input from at least 1 video camera (12). A video processor (16) tracks objects located within the field of view of the video camera to calculate parameters of passenger data associated with each tracked object. The elevator control device (24) partially transmits the information to the elevator dispatching device (26), the elevator door control device (28) and the safety system (30) based on the passenger data sent from the video processor (16). In addition, the security system operates based in part on data from the visiting control system (14). ".

Prior art documents

Patent document

Patent document 1: JP 2009-523678A

Disclosure of Invention

Problems to be solved by the invention

According to the device described in patent document 1, the scheduling of the elevator and the control of the elevator door can be performed by using the video input from the video camera. However, in this case, it is also necessary to wait for the user's instruction regarding the destination direction.

Accordingly, an object of the present invention is to provide an automatic call registration system and an automatic call registration method that can reduce the burden on a user by including an instruction of a destination direction.

Means for solving the problems

As described above, according to the present invention, an "automatic call registration system for controlling and managing a hall elevator service request device provided in a hall in a facility, the automatic call registration system includes: a receiving part for obtaining the number of users of the elevator device and the destination information of the cage; a learning part for storing and learning the number of users and destination information of the elevator car obtained from the receiving part as past experience data; a prediction unit that predicts destination information of the user for each floor of the entrance using the stored information of the learning unit; and a hall call registration determination unit that automatically displays the destination direction of the car in the hall elevator service request device based on the result of the prediction by the prediction unit when a person is detected in the hall in the facility.

In the present invention, an "automatic call registration method for controlling and managing a hall elevator service request device provided in a hall in a facility" is characterized in that the number of users of an elevator device and destination information of a car are measured and stored as past experience data, the destination information of the users is predicted differently for each floor of the hall using the past experience data, and when a person is detected in the hall in the facility, the predicted destination direction of the car is automatically displayed in the hall elevator service request device based on the predicted destination direction ".

Effects of the invention

According to the present invention, the user can be relieved of burden by including the indication of the destination direction.

Drawings

Fig. 1 is a diagram showing a schematic configuration of an elevator operation management system according to the present invention.

Fig. 2 is a diagram showing an example of a hall environment suitable for the present invention.

Fig. 3 is a diagram showing an example of a storage format of past experience data learned by the learning unit 31.

Fig. 4a is a diagram showing an example of the predicted boarding passenger number table TB1 predicted by the floor-based passenger number prediction unit 32.

Fig. 4b is a diagram showing an example of the predicted elevator descending people number table TB2 predicted by the floor-based distinguished people number prediction unit 32.

Fig. 5 is a flowchart for specifically illustrating the processing content in the floor-by-floor number-of-people prediction unit 32 in fig. 1.

Fig. 6a is a diagram showing an example of the predicted boarding passenger number table TB1 including real data added for accuracy verification.

Fig. 6b is a diagram showing an example of the predicted elevator descending people number table TB2 including the added real data for accuracy verification.

Fig. 7a is a diagram showing an output example (every 1 minute) regarding the predicted number of alighting persons in time series.

Fig. 7b is a diagram showing an output example (every 5 minutes) regarding the predicted number of passengers getting off in time series.

Fig. 8 is a diagram showing an example of output in which predicted values of the number of passengers are displayed and output for each floor.

Fig. 9 is a diagram showing an example of output in which predicted values and actual results of the number of passengers are displayed and output for each floor.

Fig. 10 is a diagram showing an example in which the number of passengers is vertically and horizontally arranged and displayed and outputted so that the current elevator use state can be grasped.

Fig. 11 is a diagram showing an example of a flow of processing contents in the hall call registration determination unit 39.

Fig. 12 is a diagram showing transition of display contents of the hall elevator service request device 4 at the time of the flow of fig. 11.

Detailed Description

The following describes embodiments of the present invention with reference to the drawings.

Example 1

Fig. 1 shows a schematic configuration of an elevator operation management system for realizing an automatic call registration system and a registration method according to the present invention. Fig. 1 illustrates devices and systems in facilities such as a building 1 and an external system 2.

Among these devices and systems in facilities such as the building 1 are generally the elevator operation management system 3, the hall elevator service request device 4 on each floor, the monitoring camera 5 on each floor, the building management system 6, and the like, and data communication is performed between them via the communication means 8. The elevator control system 7a … 7n is provided in a plurality of machines and controlled by the elevator operation management system 3. In addition, in the implementation of the present invention, the elevator operation management system 3 and the building management system 6 need not be devices or systems in facilities such as the building 1. If data communication is performed between the devices via the communication means 8, it is possible to perform similar control and monitoring by installing some or all of the functions outside the facilities such as the building 1.

Further, although the public institution management system is illustrated as an example of the external system 2 in fig. 1, the system may be a taxi dispatching system or the like.

The elevator operation management system 3 according to the present invention obtains a large number of inputs, settings, and outputs. Among these inputs and outputs, between the elevator control system 7a … 7n and the elevator operation management system 3, the elevator control system 7a … 7n reports the operation state information S71 to the elevator operation management system 3, and the elevator control system 7a … 7n selects a car to be dispatched after the hall button is pressed by each elevator car in accordance with the control command signal S72 from the elevator operation management system 3. Here, the elevator operation management system 3 is a characteristic part in that all the elevators in the building 1 are managed, and the description thereof is omitted here since the operation is not changed from the normal elevator control.

In the present invention, as still other inputs, the service request signal S4 is obtained from the hall elevator service request device 4 on each floor, the video signal S5 is obtained from the monitoring camera 5 on each floor, the building management information S6 is obtained from the building management system 6, and the institution management information S2 is obtained from the institution management system 2.

Further, guidance information, such as whether or not registration is correctly performed with respect to the service request signal S4 or which elevator is scheduled, is transmitted to the elevator side as the service guidance signal SS 4.

Fig. 2 is a diagram showing an example of a hall environment suitable for the present invention. The elevator hallways at each floor are provided with: a monitoring camera 5(5-1, 5-2, 5-3, 5-4) for monitoring and photographing a space including an elevator door; and up-down keys 4(4-1, 4-2, 4-3, 4-4) as the hall elevator service request device 4. In fig. 2, reference numeral 20(20-1, 20-2, 20-3) denotes a signal light for predicting the arrival of the elevator car and guiding the reservation status. In fig. 2, an in-car camera 21 and a load sensor 22 are also provided in a car 24 of the elevator.

As described below, the service request signal S4 of the present invention is for confirming the upward and downward directions of the elevator, and the up-down button 4 is illustrated in fig. 2, but it may be a destination floor registration device or the like.

The video signal S5 of the present invention is used to measure the number of users, and can be replaced by directly or indirectly confirming the number of users. In the example of fig. 2, information on the number of users can be entered from the in-car camera 21 provided in the car 24 of the elevator and the load sensor 22 provided in the lower part of the car 24 of the elevator.

In this way, the service request signal S4 can confirm the upward and downward directions of the elevator, the video signal S5 can confirm the number of users, the building management information S6 can confirm the schedule of action such as a meeting or a gathering in the facility, and the public institution management information S2 can grasp the operation information (for example, the late of the train) of the public institution of the same day. Further, although some of these pieces of information include information that is input in an existing system and used for what purpose, the present invention is new in that it is used for estimation of the number of people going off the elevator.

The receiver 36 in the elevator operation management system 3 in fig. 1 receives the service request signal S4, the video signal S5, the building management information S6, and the like via the communication means 8, and receives the operation state information S71 from the elevator control system 7a … 7 n. The operating state information S71 includes information on the position of the car.

The input signal from the receiving unit 36 is given to the hall call registration determining unit 39 and the learning unit 31 and used, but since these are parts related to the essence of the present invention, the description will be given later, and the general functions, that is, the comprehensive evaluation unit 37 and the assignment commanding unit 38 will be described first.

The overall evaluation unit 37 determines the user' S request and the moving direction from the input signals, and the allocation commander 38 gives a control command signal S72 to the elevator control system 7a … 7n of each car to control the system. Since this section does not change from the control of the elevator in the past, further description thereof will be omitted.

The service request signal S4, the video signal S5, the building management information S6, and the like obtained via the communication means 8 are recorded and used in the learning unit 31. Further, the number of persons who take the elevator and the number of persons who get off the elevator can be grasped on a per floor basis from the information on the number of users and the car position of the elevator based on the in-car camera 21 provided in the car 24 of the elevator and the load sensor 22 provided at the lower part in the car 24 of the elevator transmitted from the elevator control system 7a … 7 n. Here, the service request signal S4 and the video signal S5 are stored together with information on the time at which these signals are generated, and are used as past experience information. This makes it possible to statistically grasp a certain past situation (day of the week, season, etc.) and the action and state of the user at a certain time. For example, the outline of the movement state of the person at the time of work, lunch, and off-duty can be grasped. Therefore, in the same future scenario, the same operation is not performed on an individual basis, but a macroscopic traffic flow such as the entire building can be estimated to represent the same traffic flow as the past experience.

While the service request signal S4 and the video signal S5 are used as past experience information, the building management information S6 from the building management system 6 is information obtained when the building management system 6 registers a schedule of action (holding place, attendees, and sitting place) such as a meeting or an event in a facility in the near future, and thereby, for example, the movement of people from each floor at the time of a meeting at 3 o' clock on the day can be predicted.

Further, if the train delay and the degree thereof can be grasped as the operation information of the public institution on the current day from the public institution management information S2, it can be predicted that the movement direction of the user particularly at work is different from the movement direction at normal time without delay and is changed. As is clear from this, the institution management information S2 can be used as past experience information or predicted correction information determined based on a future schedule.

In this way, the learning unit 31 learns the number of persons who normally use the elevator every day. Here, macroscopic information of the number of persons can be output. The learning unit 31 further includes an elevator boarding rate setting unit 40 for comparing the number of persons in the elevator car with the number of persons in the entrance hall every day and learning the boarding rate for each floor.

Here, the elevator boarding rate for each floor is a ratio of the number of persons boarding the elevator to the number of fixed persons in the elevator, which is determined for each floor of the stop floor or the destination floor, or for each floor and the vertical direction. It may be an occupancy rate with respect to an occupied area in the car, instead of the number of people. These values change according to time zones and situations, and the elevator riding rate may be set so as to change for each time zone, so as to be distinguished in an arbitrary pattern, or so as to be fixed. Specifically, when the number of passengers is 24, the elevator boarding rate becomes 70% when the maximum number of passengers is 16 in 1 day. By accurately learning the boarding rate, the operation pattern of the number of people can be more accurately optimized.

The past experience data learned by the learning unit 31 is organized and stored as shown in fig. 3, for example. Fig. 3 illustrates, for example, a storage format of the number of persons getting on/off the elevator from the past performance, and stores the number of persons getting on/off the elevator at each floor and information on the rate of elevator riding on the basis of the number of persons riding on/off the elevator for each floor in association with each other for each past date and time. The past actual performance elevator descending number storage format is also generated in the same format. The storage format may include information that is stored by grasping the number of people every day, for example, every 5 minutes, and that has been accumulated over a long period in the past. In addition, the past experience data may include event information such as a meeting and various gatherings as incidental information. The past experience data learned by the learning unit 31 is used as the past experience in the following process to be used in the prediction process.

The 5 minutes is the time scale used in the setup planning of the elevator and is not limited thereto. For example, the mode may be determined on a case-by-case basis at each weekly time of the elevator, or a mode in which a fixed amplitude other than 5 minutes is specified. Further, the resolution may be calculated every 1 minute, and the processing may be appropriately performed for 5 minutes or 10 minutes.

The floor-by-floor number-of-people prediction unit 32 predicts the number of people for each floor based on past experience, a meeting prediction of the day, and the like, for example, the movement of people within a certain time span from the current time point, or the movement of people in the traffic flow of the building recognized by the learning unit 31. Fig. 4a shows an example of the predicted boarding passenger number table TB1 predicted by the floor-specific passenger number prediction unit 32, and fig. 4b shows an example of the predicted alighting passenger number table TB2 predicted by the floor-specific passenger number prediction unit 32.

The predicted boarding passenger number table TB1 and the predicted disembarking passenger number table TB2 are composed of time data D1 and D6, floor data D2 and D7, predicted passenger number data D3 and D8, real passenger number data D4 and D9, prediction accuracy data D5 and D10, and boarding ratios D11 and D12 in this order from the top. In the floor-by-floor number-of-people predicting unit 32, the data from the top to the 3 rd floor is formed using the past empirical data of fig. 3 and the like in these tables.

For example, the predicted elevator boarding population table TB1 shows that the number of people boarding the floors (here, 1 floor to 8 floors) is 20, 9, 7, 14, 13, 7, 8, and 5 people at the time point of 8 points (representing, for example, 5 minutes from 8 points described later). For example, the predicted number of passengers getting off table TB2 shows that the number of passengers getting off at each floor (here, floor 1 to floor 8) is 20, 5, 9, 15, 11, 15, 18, and 11 at the time point of 8 (indicating, for example, 5 minutes from 8, which will be described later).

The generation methods of the predicted boarding passenger number table TB1 and the predicted disembarking passenger number table TB2 can be determined by taking into account past experience and scheduled generation on the present day, and further by performing correction in consideration of the train delay on the present day and the like, as described above.

Fig. 5 is a flowchart for specifically illustrating the processing content in the floor-by-floor number-of-people prediction unit 32 in fig. 1. As a premise for this, the processing in the learning unit 31 grasps the information on the number of users in the time series measured each day, which is differentiated by floor, differentiated by ascending and descending, and the riding rate, and forms the past experience data of fig. 3. That is, the predicted boarding passenger number table TB1 and the predicted disembarking passenger number table TB2 store past experience data corresponding to the real passenger number data D4 and D9 while securing the equivalent number of days in time series. In addition, for each past day, information of meetings and conferences performed on that day is included and stored.

The start of the processing of fig. 5 may be performed at an appropriate timing, but if information corresponding to the next day, 1 day, is provided on the previous day, for example, the processing is performed at an appropriate time on the previous day. Alternatively, the supply may be performed by an external request, and may be started at a time point when the request is made.

In the first processing step S100 of the floor-by-floor number prediction unit 32, past experience data and the like are acquired. The past real number data D4, D9, time data D1, D6, elevator riding rate, building management information S6, and the like are contained therein. In step S101, setting information such as a time width and a designated time is acquired.

In step S102, the output day (e.g., tomorrow) is determined. It is determined whether the output day is a work day, a holiday, a partial rest, or the like, and only data of the corresponding conditions are extracted from the past empirical data of fig. 3. In the processing step S103, for example, when the output day is a work day, only the past experience data of the work day is extracted, and when the output day is a holiday, only the past experience data of the holiday is extracted. In addition, when the seasonal variation and the day of the week appear conspicuous to the user, the extraction can be performed in consideration of these points.

In the processing step S104, the use average of the extracted use actual results in the time series corresponding to the number of days is obtained, and the predicted number data D3 and D8 of the predicted boarding passenger number table TB1 and the predicted disembarking passenger number table TB2 are created. Further, since the above processing is performed for the number of users per floor, floor data D2 and D7 are also obtained.

In the processing step S105, the presence or absence of the building management information S6 is confirmed, and, for example, when a scheduled meeting is held at 15 o' clock of the day, in the processing step S106, the predicted number-of-people data D3 and D8 of the predicted boarding number table TB1 and the predicted disembarking number table TB2 obtained in the processing step S104 are corrected in accordance with the scale of holding in which the user moves and the elevator is used. In addition, when the past experience data includes past experience of a conference having the same theme as the conference, the predicted number of people D3 and D8 in the predicted boarding number table TB1 and the predicted alighting number of people table TB2 can be corrected by referring to the user information at that time.

In the processing step S108, the presence or absence of the public institution management information S2 is checked, and for example, when information such as the train time delay scheduled to arrive at the nearest station of the building at 8 o' clock of the present day is obtained, in the processing step S108, the predicted number-of-passengers data D3, D8 of the predicted boarding passenger number table TB1 and the predicted alighting passenger number table TB2 obtained in the processing steps S104, S106 are corrected so as to reflect the movement of the user and the use of the elevator in accordance with the degree of the time delay.

As described above, the past results are corrected based on the information of the scheduled action and the public institution, and the predicted passenger number data D3 and D8 of the predicted boarding passenger number table TB1 and the predicted disembarking passenger number table TB2 are obtained. Note that, although not explicitly described in the flow of fig. 5, the data of the elevator riding rate in the past experience data of fig. 3 is reflected in the columns of the elevator riding rates D11 and D12 of the predicted boarding passenger number table TB1 and the predicted disembarking passenger number table TB 2.

The floor-based person number prediction unit 32 further has an accuracy verification function, and the data of the upper level 3 generated in the floor-based person number prediction unit 32 further adds the information of the lower level 2 to the data based on the actual experience of the day on which the prediction is made. Fig. 6a shows an example of a predicted boarding passenger number table TB1 including the actual data added by the accuracy verification, and fig. 6b shows an example of a predicted disembarking passenger number table TB2 including the actual data added by the accuracy verification.

In this example, for example, with respect to the predicted number of boarding persons table TB1, the number of boarding persons for each floor (here, 1 floor to 8 floors) is predicted to be 20, 9, 7, 14, 13, 7, 8, and 5 persons at a time point of 8 points (representing, for example, 5 minutes from 8 points described later), but actually 18, 13, 10, 19, 14, 10, and 9 persons, and the accuracy thereof is known to be 82, 38, 60, 75, 92, 88, 95, and 90%.

In this example, for example, in the predicted elevator descending number table TB2, at the time point of 8 o 'clock (representing, for example, 5 minutes from 8 o' clock described later), the elevator descending numbers of each floor (here, 1 floor to 8 floors) are predicted to be 20, 5, 9, 15, 11, 15, 18, and 11 persons, but actually 17, 13, 15, 12, 17, 19, and 10 persons, and the accuracy of each is 89, 69, 70, 74, 93, 50, 80, and 56%.

The addition of the data D4 and D9 to the tables in fig. 6a and 6b means that the learning unit 31 additionally records new past experience data.

According to the automatic call registration system according to the present invention described above, the automatic call registration system accesses the number of users of the elevator apparatus and the destination information of the car, and predicts the destination information of the users for each floor of the hall based on the past experience data. The destination information includes information on a destination direction, information on a destination floor, and information on a car position, and the predicted destination direction of the car is automatically displayed in actual operation. The information on the car position is time-series grasped to be the destination information of the car.

The result of the processing in the floor-by-floor number-of-people prediction unit 32 can be displayed and output in an appropriate form on a monitor or the like not shown in fig. 1. In this case, the information on the predicted number of boarding passengers and the predicted number of disembarking passengers obtained by the floor-by-floor passenger number prediction unit 32 is processed as appropriate and output to the inside and outside of the elevator operation management system 3. The internal output destination is a monitor or the like in the system, the external output destination is the building management system 6, and the external system 2 is an institution management system or the like. In displaying and outputting, as setting contents to be set appropriately, for example, a time width, a designated time, and the like are referred to.

The output form (display form) of the information on the predicted number of persons going up the elevator and the predicted number of persons going down the elevator output here is not limited in many cases. In an extreme case, the original information may be the original information not subjected to the processing, and the building management system 6 on the use side and the external system 2 may be used by appropriately interpreting and processing the information according to the purpose of use. The following describes an output case and an application case.

Fig. 7a and 7b are diagrams showing examples of output of predicted elevator descending people in time series, and basically, the predicted elevator descending people table TB2 is a table in which time data D6, predicted people data D8, real people data D9, and prediction accuracy data D10 are collected as time-series data for every 1 minute in fig. 7a, and are collected as time-series data for every 5 minutes in fig. 7 b. Note that the time of every 1 minute, every 5 minutes, or 8 o' clock is given as an appropriate time width setting or time setting.

Fig. 8 is a diagram showing and outputting the predicted values of the number of persons who take on/off the vehicle for each floor, and fig. 9 is a diagram showing the output performance values (dotted lines) superimposed one on another.

This information is information for easily understanding and illustrating fig. 7a and 7 b. For example, information for every 1 hour corresponding to the past 1 day is requested from the elevator operation management system 3 via the network 8, and the predicted value and the actual measurement value shown above are output. In order to show the user status of a building in one day to a building manager, the manager can flexibly cope with the safety of the building and the schedule of the air conditioning equipment by outputting the information to a monitoring panel installed in a management room of the building, a PC, or a Web content management screen for building management and visualizing the use status in the building. The output mode may include only the measured value without the predicted value.

Fig. 10 shows an example in which the number of passengers is vertically and horizontally arranged and the current elevator usage status is displayed so as to be able to be grasped. The peak values of normal use, lunch, ascending and descending can be identified according to the area determined by the number of passengers on and off vertically and horizontally.

Returning to fig. 1, in the hall call registration determination unit 39 of the elevator operation management system according to the present invention, display control in the hall elevator service request devices 4 at each floor is performed as follows.

Fig. 11 is a flowchart specifically illustrating the contents of processing in the hall call registration determination unit 39. The process of fig. 11 is initiated with a certain control cycle of the computer in the elevator operation management system.

In S200 of the first processing step of fig. 11, it is determined whether or not a user is newly detected in the entrance hall of each floor based on the information of the monitoring cameras 5 of each floor. If the detection is made, it is determined in step S201 whether or not the probability that the person uses the elevator is equal to or higher than a predetermined value. This determination can be made by referring to the predicted numbers of boarding and alighting persons D3 and D8 in fig. 4a and 4b (when the number of users is predicted to be large, it can be determined that the probability of using the elevator is a certain value or more), or actions (approach to the elevator and standby) obtained from the monitoring camera.

If it can be determined that the probability of using the elevator is high, the processing step S202 determines that the probability of moving in the vertical direction is high. This determination can be made using the boarding ratios D11 and D12 in fig. 4a and 4b, or the prediction accuracies D5 and D1 in fig. 6a and 6 b. If the probability that the movement in the upward direction can be estimated is high, the call key in the upward direction is automatically registered in processing step S203, and if the probability that the movement in the downward direction can be estimated is high, the call key in the downward direction is automatically registered in processing step S204. In addition, by this registration, the call key (hall elevator service request device 4) of the floor is displayed in the vertical direction.

After the call key is automatically registered, a timer start process is performed in step S205.

In step S206, in a state where the result is "no new person detected" in step S200, the result is "low utilization probability of elevator" in step S201, or the result is "after timer start" in step S205, it is further checked whether or not a button in the other direction is registered before the timer time expires. Here, the registration of the key in the other direction is indicated by the user of the floor directly operating the call key (hall elevator service request device 4) of the floor.

When the key in the other direction is not registered, the series of processing is ended, and the standby is advanced to the next control cycle, and when the key in the other direction is registered, the automatic registration to the moving direction set in processing step S203 or processing step S204 is canceled in processing step S207, and the elevator control is changed to the moving direction in which the registered call is confirmed in processing step S206.

Fig. 12 shows a transition of the display content of the hall elevator service request device 4 in the flow of fig. 11. In (a), since there is no one in the lower hall, the display content of the hall elevator service request device 4 is not displayed either vertically or vertically. In (b), the monitoring camera 5 detects a person regarded as a user, and the elevator operation management system 3 automatically displays the downward direction, for example, with prediction as downward. (c) In the case of a prediction error, the user operates the hall elevator service request device 4 by himself or herself to re-instruct the upward direction. In the state (e) after the instruction correction, the display in the lower direction disappears, and the upper direction is performed again. (d) In the case where the prediction is correct, the display in the downward direction is continued without change.

Further, according to (e), when a new person appears and it is determined that the possibility that the person is facing downward is high, the downward display is performed again.

The characteristic of the point at which the state changes from (b) to (e) is shown in the present invention. If the prediction is wrong, the point is accepted and displayed is corrected. Incidentally, in the conventional apparatus, the lower lighting operation is the upper lighting operation if the instruction is given during the lower lighting operation, but the present invention is characterized in that the lower lighting operation disappears and changes to the upper lighting operation.

In addition, since the moving direction is uniquely determined in the uppermost layer and the lowermost layer, the present invention can be applied to the intermediate layer. By adopting the present invention, the user can omit unnecessary operation of the hall elevator service request device 4.

Description of the symbols

1: facilities such as buildings

2: external system (public institution management system)

3: elevator operation management system

4: elevator hall service request device for each floor

5: monitoring camera for each layer

6: building management system

7a … 7 n: elevator control system

8: communication unit

31: learning part

32: prediction part for number of people according to floor

36: receiving part

37: comprehensive evaluation department

38: distribution command part

39: hall call registration determination unit

S2: public institution management information

S4: service request signal

S5: image signal

S6: building management information

S72: control command signal

Claims (18)

1. An automatic call registration system for controlling and managing a hall elevator service request device provided in a hall in a facility,

the automatic call registration system includes:

a receiving part for obtaining the number of users of the elevator device and the destination information of the cage;

a learning unit for storing and learning the number of users and destination information of the car obtained from the receiving unit as past experience data;

a prediction unit that predicts destination information of the user for each floor of the entrance using the stored information of the learning unit; and

and a hall call registration determination unit that automatically displays the destination direction of the car in the hall elevator service request device based on the result of the prediction by the prediction unit when a person is detected in the hall in the facility.

2. The automatic call registration system of claim 1,

the hall call registration determination unit automatically displays a 1 st direction as a destination by the hall elevator service request device when a 1 st person is detected in a hall in the facility, and cancels the automatic display of the 1 st direction and operates the 2 nd direction as the destination when the 1 st person is instructed to have the 2 nd direction as a destination by the hall elevator service request device.

3. The automatic call registration system according to claim 1 or 2,

the hall call registration determination unit automatically displays a 1 st direction as a destination by the hall elevator service request device when a 1 st person is detected in a hall in the facility, cancels the automatic display of the 1 st direction and sets the 2 nd direction as a destination direction when the 1 st person is instructed to set the 2 nd direction as the destination direction by the hall elevator service request device, and then automatically displays the 1 st direction as the destination by the hall elevator service request device when a 2 nd person is detected.

4. The automatic call registration system according to any one of claims 1 to 3,

the prediction unit predicts a 1 st direction as a destination direction automatically displayed by the hall elevator service request device at a 1 st person detected in a hall of an elevator in a facility, using past experience data of information on the number of users in the hall and the destination direction of the elevator in the facility.

5. The automatic call registration system according to any one of claims 1 to 4,

the prediction unit obtains scheduled event information in the facility and predicts a destination direction of the user for each floor of the entrance hall based on the scheduled event information and the past experience data.

6. The automatic call registration system according to any one of claims 1 to 5,

the prediction unit obtains operation information in a public institution, and predicts a destination direction of a user for each floor of a hall based on the operation information and the past experience data.

7. The automatic call registration system according to any one of claims 1 to 6,

the prediction unit obtains information on the destination direction that is automatically displayed as information for each preset time zone.

8. The automatic call registration system according to any one of claims 1 to 7,

the destination information of the car is information of a destination direction of the car, information of a destination floor or information of a car position.

9. The automatic call registration system according to any one of claims 1 to 8,

the user's destination information is information of a user's destination direction or information of a destination layer.

10. An automatic call registration method for controlling and managing a hall elevator service request device provided in a hall in a facility,

the number of users of the elevator device and the destination information of the elevator car are obtained and stored as past experience data,

the destination information of a user is predicted differently for each floor of a hall using past experience data, and when a person is detected in the hall in the facility, the predicted destination direction of the car is automatically displayed to the hall elevator service request device based on the predicted destination.

11. The automatic call registration method of claim 10,

when the 1 st person is detected in the entrance hall of the facility, the 1 st direction is automatically displayed as the destination direction by the entrance hall elevator service request device, and when the 1 st person indicates the 2 nd direction as the destination direction by the entrance hall elevator service request device, the automatic display of the 1 st direction is cancelled, and the 2 nd direction is used as the destination.

12. The automatic call registration method according to claim 10 or 11,

when a 1 st person is detected in a hall in the facility, the 1 st direction is automatically displayed as a destination direction by the hall elevator service request device, and when the 1 st person instructs a 2 nd direction as a destination direction by the hall elevator service request device, the automatic display of the 1 st direction is canceled and the 2 nd direction is set as a destination direction, and then when a 2 nd person is detected, the 1 st direction is automatically displayed as a destination direction by the hall elevator service request device.

13. The automatic call registration method according to any one of claims 10 to 12,

the 1 st direction is predicted using past empirical data for information about the number of users and destination directions in the lobby of an elevator in the facility as the destination direction that is automatically displayed by the lobby elevator service request device when the 1 st person is detected in the lobby in the facility.

14. The automatic call registration method according to any one of claims 10 to 13,

the destination direction of the user is predicted differently for each floor of the entrance hall based on the schedule information and the past experience data.

15. The automatic call registration method according to any one of claims 10 to 14,

the operation information in the public institution is obtained, and the destination direction of the user is predicted differently for each floor of the entrance hall based on the operation information and the past experience data.

16. The automatic call registration method according to any one of claims 10 to 15,

the information of the automatically displayed destination direction is obtained as information for each preset time zone.

17. The automatic call registration method according to any one of claims 10 to 16,

the destination information of the car is information of a destination direction of the car, information of a destination floor or information of a position of the car.

18. The automatic call registration method according to any one of claims 10 to 17,

the user's destination information is information of a user's destination direction or information of a destination layer.

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