Title of invention: Automatic call registration system and automatic call registration method
Technical field
[0001]
　The present invention relates to an automatic call registration system and an automatic call registration method for an elevator device, and particularly to an automatic call registration system and automatic device for an elevator device having a hall processing function for automatically inputting and displaying a moving direction at an elevator hall. Regarding call registration method.
Background technology
[0002]
　Conventionally, many proposals have been made regarding the operation management of elevator devices. Among these, there is a proposal of a hall display processing function for allowing a user of an elevator device to indicate a movement direction at a hall on each floor, or to confirm the movement direction of a car by a display.
[0003]
　For example, Patent Document 1 discloses that "an elevator control system (24) performs elevator dispatching and door control based on passenger data received from a video surveillance system. The video surveillance system includes at least one video camera (12). A video processor (16) connected to receive the video input of the video processor (16), the video processor (16) tracking objects in the field of view of the video camera and of passenger data associated with each of the tracked objects. Calculate the parameters: The elevator controller (24) is based in part on the passenger data sent from the video processor (16), the elevator vehicle dispatching device (26), the door controller (28), the security system (30). The security system also operates based in part on the data from the access control system (14)."
Prior art documents
Patent literature
[0004]
Patent Document 1: Japanese Patent Publication No. 2009-523678
Summary of the invention
Problems to be Solved by the Invention
[0005]
　According to the device described in Patent Document 1, it is possible to perform elevator dispatching and door control by using a video input from a video camera. However, even in this case, it is necessary to wait for the user's instruction regarding the destination direction.
[0006]
　From this, it is an object of the present invention to provide an automatic call registration system and an automatic call registration method that can reduce the burden on the user including the instruction of the destination direction.
Means for solving the problem
[0007]
　From the 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, which receives the number of users of the elevator device and the destination information of the car Section, the number of users obtained from the receiving section and the destination information of the car are stored as past experience data, and the learning information of the learning section to learn and the destination information of the user for each floor of the hall are stored using the memory information of the learning section. Equipped with a prediction unit that predicts and a hall call registration determination unit that automatically displays the destination direction of the car on the hall elevator service request device based on the prediction result of the prediction unit when a person is detected at the hall in the facility. The automatic call registration system is characterized by "
[0008]
　In addition, 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, in which past experience is obtained by obtaining the number of users of the elevator device and car destination information. Stored as data and predicting user's destination information by floor of the hall using past experience data, when a person is detected at the hall in the facility, based on the predicted destination direction, the hall elevator service request device The automatic call registration method is characterized in that the predicted car destination direction is automatically displayed.
Effect of the invention
[0009]
　According to the present invention, it is possible to reduce the burden on the user including the instruction of the destination direction.
Brief description of the drawings
[0010]
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 landing environment suitable for the present invention.
FIG. 3 is a diagram showing a storage format example of past experience data learned by a learning unit 31.
FIG. 4a is a diagram showing an example of a predicted passenger count table TB1 predicted by a floor-specific passenger count prediction unit 32.
FIG. 4b is a diagram showing an example of a predicted getting-off number table TB2 predicted by the floor-by-floor number prediction unit 32.
FIG. 5 is a flowchart specifically exemplifying the processing contents in the floor-by-floor number prediction unit 32 of FIG. 1.
FIG. 6a is a diagram showing an example of a predicted passenger number table TB1 including actual data added in accuracy verification.
FIG. 6b is a diagram showing an example of a predicted number of descending people table TB2 including the actual data added in the accuracy verification.
[Fig. 7a] Fig. 7a is a diagram showing an output example (in 1-minute increments) of a predicted number of people getting off in time series.
FIG. 7b is a diagram showing an output example (in 5-minute increments) of the predicted number of people getting off in a time series.
FIG. 8 is a diagram showing an output example in which predicted values ​​of the number of people getting on and off for each floor are displayed and output.
FIG. 9 is a diagram showing an output example in which predicted values ​​and actual values ​​of the number of people getting on and off for each floor are displayed and output.
[Fig. 10] Fig. 10 is a diagram showing an example in which the number of people getting on and off is arranged vertically and horizontally, and displayed and output so that the current elevator usage status can be grasped.
FIG. 11 is a diagram showing an example of a flow specifically exemplifying the processing content in the hall call registration determination unit 39.
FIG. 12 is a diagram showing changes in display contents of the hall elevator service request device 4 in the flow of FIG. 11.
MODE FOR CARRYING OUT THE INVENTION
[0011]
　Embodiments of the present invention will be described below with reference to the drawings.
Example 1
[0012]
　FIG. 1 shows a schematic configuration of an elevator operation management system that realizes an automatic call registration system and a registration method according to the present invention. In FIG. 1, facilities and systems in a facility such as a building 1 and an external system 2 are described.
[0013]
　Among these, the facilities and systems in the facility such as the building 1 are generally an elevator operation management system 3, a landing elevator service request device 4 on each floor, a surveillance camera 5 on each floor, a building management system 6, and the like. Data communication is mutually performed between the communication means 8. A plurality of elevator control systems 7a... 7n are installed and controlled by the elevator operation management system 3. In implementing the present invention, the elevator operation management system 3 and the building management system 6 do not have to be equipment or systems in the facility such as the building 1. If mutual data communication is performed via the communication means 8, similar control and monitoring can be performed even if some or all functions are installed outside the facility such as the building 1.
[0014]
　Further, in FIG. 1, a public institution management system is illustrated as an example of the external system 2, but it may be a taxi dispatch system or the like.
[0015]
　The elevator operation management system 3 according to the present invention obtains many inputs and settings and gives outputs. 7n of 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 operating state information S71 to the elevator operation management system 3 and the elevator control system 3 7a...7n have their vehicle allocation units selected after the elevator button for each elevator has been pressed by the control command signal S72 from the elevator operation management system 3. What is characteristic here is that the elevator operation management system 3 operates and manages all the units in the building 1, and other matters are the same as normal elevator control, so the explanation here Omit.
[0016]
　In the present invention, as further inputs, the service request signal S4 from the hall elevator service request device 4 on each floor, the video signal S5 from the surveillance camera 5 on each floor, the building management system 6 to the building management information S6, and the public institution management system 2 Obtain public institution management information S2 and the like.
[0017]
　Further, as the service guidance signal SS4, guidance information such as whether the registration is correctly performed or which elevator is to be dispatched is transmitted to the elevator side with respect to the service request signal S4.
[0018]
　FIG. 2 is a diagram showing an example of a landing environment suitable for the present invention. At the elevator halls on each floor, surveillance cameras 5 (5-1, 5-2, 5-3, 5-4) for monitoring and photographing the space including the elevator doors, and a vertical button 4 as a hall elevator service request device 4 are provided. (4-1, 4-2, 4-3, 4-4) are installed. Further, in FIG. 2, reference numeral 20 (20-1, 20-2, 20-3) is a lantern for predicting the arrival of the elevator car and guiding the reservation status. FIG. 2 further includes an in-car camera 21 and a load sensor 22 in an elevator car 24.
[0019]
　As will be described below, the positioning of the service request signal S4 in the present invention is for confirming the ascending and descending directions of the elevator, and the up/down button 4 is illustrated in FIG. May be a destination floor registration device or the like.
[0020]
　The positioning of the video signal S5 in the present invention is for measuring the number of users, and can be replaced as long as the number of users can be confirmed directly or indirectly. In the example of FIG. 2, it is possible to obtain information on the number of users from the in-car camera 21 provided in the elevator car 24 and the load sensor 22 provided in the lower part of the elevator car 24.
[0021]
　In this way, from the service request signal S4, the up and down directions of the elevator can be confirmed, from the video signal S5, the number of users can be confirmed, and from the building management information S6, the conference in the facility can be confirmed. The action schedule of an event or the like can be confirmed, and the operation information (for example, train delay) of the public institution on the day can be grasped from the public institution management information S2. It should be noted that some of these pieces of information include pieces of information that are also input by existing systems and used for some purpose, but the present invention is new in that it is used for estimating the predicted number of people getting off.
[0022]
　The reception unit 36 ​​in the elevator operation management system 3 of FIG. 1 obtains the service request signal S4, the video signal S5, the building management information S6, etc. via the communication means 8, and the operation state from the elevator control system 7a... 7n. Input the information S71. The driving state information S71 includes information on the position of the car.
[0023]
　The input signal from the reception unit 36 ​​is given to the hall call registration determination unit 39 and the learning unit 31 and used. Since these are the portions related to the essence of the present invention, this description will be given later, The general evaluation unit 37 and the assignment command unit 38, which have various functions, will be described first.
[0024]
　The comprehensive evaluation unit 37 determines the user's request and the moving direction from these input signals, and the assignment command unit 38 gives the control command signal S72 to the elevator control systems 7a... To control. This part is no different from the conventional elevator control, and will not be described further.
[0025]
　The service request signal S4, the video signal S5, the building management information S6 and the like obtained through the communication means 8 are recorded and used in the learning section 31. Further, the number of users is also transmitted from the in-car camera 21 provided in the elevator car 24 and the load sensor 22 provided in the lower part of the elevator car 24, which are transmitted from the elevator control systems 7a... 7n. Based on the information and the position of the elevator car, the number of passengers on each floor and the number of passengers getting off can be grasped. Here, the service request signal S4 and the video signal S5 are stored together with information on the time when these signals were generated, and are used as experience information in the past. As a result, a certain past scene (day of the week, season, etc.), a user's behavior at a certain time, and a mode are statistically grasped. For example, it is possible to grasp the outline of the movement situation of a person at the time of going to work, lunch, leaving time, and the like. Therefore, in the same future scene, it is possible to presume that the macro traffic flow of the entire building shows the traffic flow similar to the past experience, although the same operation is not performed on an individual basis.
[0026]
　The service request signal S4 and the video signal S5 are used as the experience information in the past, whereas the building management information S6 from the building management system 6 is the action schedule of the conference, event, etc. in the facility in the near future. (Holding place, attendees and their attending places) and the like are information registered in the building management system 6, and according to this, for example, the movement of people from each floor during a meeting from 3 o'clock today. It is predictable.
[0027]
　If the train delay and the degree thereof can be grasped from the public institution management information S2 as the operation information of the public institution on the day, especially the movement trend of the user at the time of going to work is different from the movement tendency in the normal time without delay. , Can be predicted to change. As is clear from this, the public institution management information S2 can be used as correction information for prediction determined from experience information in the past or schedule in the near future.
[0028]
　In this way, the learning unit 31 learns the number of people who normally use the elevator every day. Here, macro number information can be output. Further, the learning unit 31 includes a boarding rate setting unit 40, and compares the number of people in the elevator car from the number of people in the daily hall to learn the boarding rate for each floor.
[0029]
　Here, the boarding rate for each floor is the ratio of the number of passengers to the number of elevators on each floor of the stop floor, the destination floor, or each floor and the vertical direction. This may be an occupancy rate with respect to the occupied area in the car, instead of the number of people. These change depending on the time zone and the situation, and the boarding rate may be set according to each time zone, a certain mode, or a fixed value method. The actual boarding rate is 70% when the maximum number of passengers per day is 16 when the number of passengers is 24. By correctly learning this boarding rate, it is possible to more accurately optimize the operation pattern of the number of people.
[0030]
　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 past record passengers, and stores the number of passengers on each floor and the boarding rate information for each ascending/descending floor for each date and time in association with each other. There is. The memory format for the number of people who have descended in the past is also created in the same format. It is preferable that the storage format includes information that is stored by grasping the number of people for each day, for example, every 5 minutes, and accumulated for a long period in the past. Further, the past experience data may include event information such as meetings and various events as accompanying information. The past experience data learned by the learning unit 31 is used as a past experience in the prediction process in the following process.
[0031]
　The 5 minutes is a time width used for a scale used when planning the installation of the elevator, and is not limited to this. For example, it is possible to use a method that is determined for each case of the elevator every one hour or a method that specifies a fixed width other than 5 minutes. Further, the resolution may be calculated in increments of 1 minute, and may be appropriately processed for 5 minutes or 10 minutes.
[0032]
　The floor-by-floor number-of-people prediction unit 32, for example, the movement of a person in an arbitrary time width from the present time, or the movement of a person in the traffic flow of the building recognized by the learning unit 31 from the past experience, the schedule of the meeting on the day, and the like. Predict the number of people by floor. FIG. 4a shows an example of the predicted passenger number table TB1 predicted by the floor-by-floor passenger number prediction unit 32, and FIG. 4b shows an example of the predicted alighting passenger number table TB2 by the floor-by-floor passenger number prediction unit 32.
[0033]
　The predicted number of passengers table TB1 and the predicted number of descended passengers table TB2 are sequentially time data D1, D6, floor data D2, D7, predicted number of passengers data D3, D8, actual number of passengers data D4, D9, predicted accuracy data D5, D10, from the top. It is composed of boarding rates D11 and D12. The floor-by-floor number prediction unit 32 forms the data from the top to the third row in these tables using the past experience data in FIG.
[0034]
　For example, in the predicted passenger number table TB1, at 8 o'clock time (which will be described later, for example, it represents 5 minutes from 8 o'clock), the number of passengers on each floor (here, from the first floor to the eighth floor) is 20, 9 respectively. , 7, 14, 13, 7, 8 and 5 are predicted. Further, for example, in the predicted descending number table TB2, at 8 o'clock (which will be described later, for example, it represents 5 minutes from 8 o'clock), the number of descending persons on each floor (here, from the first floor to the eighth floor) is 20, It shows that it is predicted to be 5, 9, 15, 11, 15, 18, and 11.
[0035]
　Regarding the method of creating the predicted passenger number table TB1 and the predicted disembarkation number table TB2, it can be created in consideration of past experience and today's schedule as described above, and further considering today's train delay and the like. It can be obtained by correction.
[0036]
　FIG. 5 is a flowchart specifically exemplifying the processing contents in the floor-by-floor number prediction unit 32 of FIG. 1. As a premise, the learning unit 31 processes the number of time-series users measured every day together with the boarding rate information for each floor and up/down direction to form the past experience data of FIG. Have been done. That is, it is assumed that the past experience data corresponding to the actual number of passengers data D4, D9 is secured and stored in time series and for a corresponding number of days in the predicted number of passengers table TB1 and the predicted number of passengers descending table TB2. Also, it is assumed that the past days are stored including information on events and conferences held on that day.
[0037]
　The process of FIG. 5 may be started at an appropriate timing, but if it is provided as information for one day on the following day, for example, the process will be performed at an appropriate time on the previous day. Alternatively, if it is provided by a request from the outside, it may be started at the time of request.
[0038]
　In the first processing step S100 of the floor-by-floor number prediction unit 32, past experience data and the like are fetched. This includes past real-person data D4, D9, time data D1, D6, boarding rate, building management information S6, and the like. In processing step S101, setting information such as a time width and a designated time is fetched.
[0039]
　In the processing step S102, the output date (for example, tomorrow) is determined. It is determined whether the output date is a weekday, a holiday, or a part of the output date, and only the items having the corresponding conditions are extracted from the past experience data of FIG. In the processing step S103, for example, if the output day is a weekday, only the past experience data of the weekday is extracted, and if the output day is a holiday, only the past experience data of the holiday is extracted. If seasonal fluctuations and day-of-the-week fluctuations are noticeable for the user, these points should be taken into consideration for extraction.
[0040]
　In the processing step S104, the use average for each time is calculated for the extracted time-series use records for a plurality of days, and is set as the predicted passenger number data D3 and D8 in the predicted passenger number table TB1 and the predicted passenger number table TB2. Since the above process is performed for the number of users for each floor, floor data D2 and D7 are also obtained.
[0041]
　In processing step S105, the presence/absence of the building management information S6 is confirmed. For example, if a meeting is scheduled to be held from 15:00 today, in processing step S106, the movement of the user according to the holding scale, the elevator The predicted number of passengers data D3 and D8 of the predicted number of passengers table TB1 and the predicted number of passengers descending table TB2 obtained in the processing step S104 are corrected to reflect the usage method. If the past experience data has the experience that a conference to the same effect as this conference was held in the past, the estimated passenger number table TB1 and the estimated number of persons disembarked based on the user information at that time. It is preferable to correct the predicted number of people data D3 and D8 in the table TB2.
[0042]
　In processing step S108, the presence or absence of the public institution management information S2 is confirmed. For example, if it is obtained at 8 o'clock today that the train arriving at the nearest station of the building is late, then in processing step S108. , The predicted number of passengers data TB3 and D8 of the predicted number-of-passengers table TB1 and the predicted number-of-descendants table TB2 obtained in the processing steps S104 and S106 by reflecting the movement of the user according to the degree of the delay and the way of using the elevator. Fix it.
[0043]
　As described above, the past performance is corrected based on the action schedule and the information of the public institution, and the predicted passenger number data D3 and D8 of the predicted passenger number table TB1 and the predicted passenger number table TB2 are obtained. Although not clearly shown in the flow chart of FIG. 5, the passenger rate data in the past experience data of FIG. 3 is reflected in the passenger rate tables D11 and D12 of the predicted passenger number table TB1 and the predicted passenger number table TB2. To be done.
[0044]
　The floor-by-floor number-of-people prediction unit 32 is further provided with an accuracy verification function. Based on the actual experience of the predicted day, the lower-level two-level information is added to the upper-level three-level data created by the floor-level number-of-people prediction unit 32. Add data. FIG. 6a shows an example of the predicted passenger number table TB1 including the actual data added by the accuracy verification, and FIG. 6b shows an example of the predicted passenger number table TB2 including the actual data added by the accuracy verification.
[0045]
　In this example, for example, in the predicted passenger number table TB1, at 8 o'clock time (which will be described later, for example, it represents 5 minutes from 8 o'clock), the number of passengers on each floor (here, from the first floor to the eighth floor), We predicted that there were 20, 9, 7, 14, 13, 7, 8, 5 people, respectively, but in reality, 18, 13, 10, 19, 14, 14, 10, 9 people, and the accuracy of each is It turns out that it was 82,38,60,75,92,88,95,90%.
[0046]
　Further, in this example, for example, in the predicted number-of-descendants table TB2, at 8 o'clock time (which will be described later, for example, it represents 5 minutes from 8 o'clock), the number of people getting off on each floor (here, from the first floor to the eighth floor) , Were predicted to be 20, 5, 9, 15, 11, 15, 18, 11 people, respectively, but actually, 13, 13, 15, 12, 12, 17, 19, 19, and 10 people, respectively, the accuracy of each It can be seen that was 89, 69, 70, 74, 93, 50, 80, 56%.
[0047]
　It should be noted that the addition of the data D4 and D9 in the tables of FIGS. 6a and 6b means that the data has been added to the learning unit 31 as new past experience data.
[0048]
　According to the automatic call registration system according to the present invention described above, the automatic call registration system obtains the number of users of the elevator device and the destination information of the car, and based on these past experience data, the floors of the halls. Predicts user destination information. The destination information includes information on the destination direction, information on the destination floor, or information on the car position. In actual operation, the predicted direction of the car destination is automatically displayed. Note that the information on the car position becomes the destination information of the car by grasping it in time series.
[0049]
　The result of the processing by the number-of-floors-by-floor prediction unit 32 can be displayed and output in an appropriate format on a monitor or the like not shown in FIG. In this case, the information on the predicted number of passengers and the predicted number of passengers obtained by the floor-by-floor number prediction unit 32 is appropriately processed 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, and the external output destination is the building management system 6 or the external system 2 such as a public institution management system. At the time of display output, for example, a time width or a designated time is referred to as the setting content appropriately set.
[0050]
　In many cases, the output format (display format) of the information on the predicted number of passengers and the predicted number of people getting off is not limited. In an extreme case, the raw information may be unprocessed, and the building management system 6 or the external system 2 on the user side interprets it appropriately according to the purpose of use, processes it, and uses it. .. Output examples and usage examples are described below.
[0051]
　FIGS. 7a and 7b are diagrams showing an output example of a time-series predicted number of people getting off, and basically, the time data D6, the predicted number of people data D8, the actual number of people data D9, and the prediction for the predicted number of people getting off table TB2. The accuracy data D10 are summarized as time-series data in 1 minute intervals in FIG. 7a and 5 minute intervals in FIG. 7b. It should be noted that the distinction in 1 minute increments, 5 minute increments, or times in the 8 o'clock range are given as time width setting and time setting as appropriate.
[0052]
　FIG. 8 shows and outputs the predicted values ​​of the number of people getting on and off for each floor, and FIG. 9 further shows and outputs the actual values ​​(dotted lines) in a superimposed manner.
[0053]
　This information is an easy-to-understand illustration of FIGS. 7a and 7b. For example, via the network 8, the elevator operation management system 3 is requested to request information for each hour for the past day, and the predicted value and the actual measured value described above are output. This information is output to a building management room or a PC installed in the building management room or a Web content management screen for building management so that this information can be displayed to building managers for the day's user status. By visualizing the usage status in the building, the administrator can flexibly deal with the security of the building and the schedule of air conditioning equipment. The output method may not include the predicted value and may be only the actually measured value.
[0054]
　FIG. 10 shows an example in which the numbers of people getting on and off are arranged vertically and horizontally, and displayed and output so that the current elevator usage status can be grasped. Depending on the area determined by the number of people getting on and off in the vertical and horizontal directions, normal use, lunch, uphill and downhill peaks can be identified.
[0055]
　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 device 4 on each floor is performed as follows.
[0056]
　FIG. 11 is a flowchart specifically illustrating the processing content of the hall call registration determination unit 39. The process of FIG. 11 is started at a constant control cycle of the computer in the elevator operation management system.
[0057]
　In S200, which is the first processing step in FIG. 11, it is determined from the information of the surveillance camera 5 on each floor that a new user has been detected at the landing on each floor. When it is detected, it is determined in processing step S201 that the probability that the person will use the elevator is equal to or higher than a certain value. For this determination, the estimated number of people D3 and D8 getting on and off in FIGS. 4a and 4b (if 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 the surveillance camera You can take into consideration the actions (approaching the elevator, waiting) that can be obtained from.
[0058]
　Further, when it can be determined that the probability of using the elevator is high, in processing step S202, it is determined whether the probability of moving up or down is high. This determination can be made using the boarding rates D11 and D12 in FIGS. 4a and 4b or the prediction accuracies D5 and D10 in FIGS. 6a and 6b. If it can be estimated that the probability of upward movement is high, an upward call button is automatically registered in processing step S203, and if it is estimated that the downward movement probability is high, downward processing is performed in processing step S204. The call button of is automatically registered. By this registration, the call button on the floor (hall elevator service requesting device 4) is displayed vertically.
[0059]
　After the call button is automatically registered, a timer starting process is performed in process step S205.
[0060]
　In processing step S206, either "no new person is detected" in processing step S200, "elevator usage probability is low" in processing step S201, or "after timer activation" in processing step S205. In the state, it is confirmed that the button in the other direction is registered before the timer time expires. Note that the registration of the button in the other direction here is performed by the user of the floor directly operating the call button (hall elevator service request device 4) of the floor.
[0061]
　If the button in the other direction is not registered, the series of processing is ended and the next control cycle is waited. If the button in the other direction is registered, the processing step S203 or the processing step S207 is executed. The automatic registration in the moving direction set in step S204 is canceled, and the elevator control is changed toward the moving direction of the call whose registration is confirmed in processing step S206.
[0062]
　FIG. 12 shows the transition of the display contents of the hall elevator service requesting device 4 during the flow of FIG. In (a), there is no one in the lower hall, and therefore, the display contents of the hall elevator service requesting device 4 are neither displayed on the upper side nor on the lower side. In (b), the surveillance camera 5 detects a person who seems to be a user, and the elevator operation management system 3 predicts that the user will go down, and automatically displays the downward direction. (C) is the case where the prediction was wrong, and the user himself operated the hall elevator service requesting device 4 to instruct the up direction again. In the state (e) after the instruction correction, the downward display disappears and the upward display is displayed again. (D) is a case where the prediction was correct, and the downward display is continued.
[0063]
　In addition, when a new person appears from (e) and it is determined that the person is likely to go down, the downward display is displayed again.
[0064]
　The display of the present invention described above is characterized in that the state changes from (b) to (e). If the prediction is wrong, the point is to accept it and correct the display. By the way, the conventional device is characterized in that if the upper device is pointed up while the lower device is lit, the upper device is turned on and the lower device is turned on.
[0065]
　In addition, since the moving direction is uniquely determined on the top floor and the bottom floor, the present invention is preferably applied to the middle floor. By adopting the present invention, the user can omit the unnecessary operation of the hall elevator service request device 4.
Explanation of symbols
[0066]
1: Facilities such as buildings, 2: External system (public institution management system), 3: Elevator operation management system, 4: Elevator service request device on each floor, 5: Monitoring camera on each floor, 6: Building management system, 7a ... 7n elevator control system, 8: communication means, 31: learning unit, 32: floor-based number prediction unit, 36: reception unit, 37: comprehensive evaluation unit, 38: allocation command unit, 39: hall call registration determination Section, S2: public institution management information, S4: service request signal, S5: video signal, S6: building management information, S72: control command signal
The scope of the claims
[Claim 1]
　An automatic call registration system for controlling and managing a hall elevator service request device prepared for a hall in a facility, including a
　receiving unit that obtains the number of users of the elevator device and car destination information, and a receiving unit that obtains the information from the receiving unit. A learning unit that stores the number of users and the destination information of the car as past experience data, learns the learning unit, and a prediction unit that predicts the destination information of the user for each floor of the hall using the stored information of the learning unit, When a person is detected at the hall in the facility, based on the prediction result of the prediction unit, a hall call registration determination unit that automatically displays the destination direction of the car on the hall elevator service request device is provided. Characteristic automatic call registration system.
[Claim 2]
　The automatic call registration system according to claim 1,
　wherein the hall call registration determination unit changes the first direction by the hall elevator service request device when a first person is detected at a hall in the facility. When the first person instructs the second direction as the destination direction by the hall elevator service request device, the automatic display of the first direction is canceled and the second direction is displayed. An automatic call registration system characterized by being operated in the direction of the destination.
[Claim 3]
　The automatic call registration system according to claim 1 or 2,
　wherein the hall call registration determination unit uses the hall elevator service request device to detect a first person at a hall in the facility. The first direction is automatically displayed as the destination direction, and when the first person instructs the second direction as the destination direction by the hall elevator service request device, the automatic display of the first direction is canceled and the first direction is canceled. An automatic call registration system, wherein the direction 2 is the destination direction, and when the second person is detected thereafter, the hall elevator service request device automatically displays the first direction as the destination direction.
[Claim 4]
　The automatic call registration system according to any one of claims 1 to 3,
　wherein the prediction unit uses past experience data regarding the number of users and the direction of the destination at the elevator hall in the facility. An automatic call registration system, which predicts a first direction as a destination direction to be automatically displayed by the hall elevator service requesting device when a first person is detected at a hall in the facility.
[Claim 5]
　The automatic call registration system according to any one of claims 1 to 4,
　wherein the prediction unit obtains event schedule information in the facility, and the hall is obtained from the event schedule information and the past experience data. An automatic call registration system that predicts the destination direction of the user for each floor.
[Claim 6]
　The automatic call registration system according to any one of claims 1 to 5,
　wherein the prediction unit obtains operation information in a public institution, and based on the operation information and the past experience data, for each floor of a hall. An automatic call registration system that predicts the destination direction of a user.
[Claim 7]
　The automatic call registration system according to any one of claims 1 to 6,
　wherein the prediction unit obtains destination direction information to be automatically displayed as information for each preset time zone. An automatic call registration system featuring.
[Claim 8]
　The automatic call registration system according to any one of claims 1 to 7,
　wherein the destination information of the car is information about a car destination direction, information about a destination floor, or information about a car position. An automatic call registration system characterized by:
[Claim 9]
　The automatic call registration system according to any one of claims 1 to 8,
　wherein the destination information of the user is information on a destination direction of the user or information on a destination floor. Automatic call registration system.
[Claim 10]
　It is an automatic call registration method for controlling and managing the elevator elevator service request device prepared for the hall in the facility,
　and stores it as past experience data by obtaining the number of elevator device users and car destination information and storing it as past experience data. The user's destination information is predicted for each floor of the hall using experience data, and when a person is detected at the hall in the facility, based on the predicted destination direction, the predicted elevator to the hall elevator service request device An automatic call registration method characterized by automatically displaying the destination direction of the car.
[Claim 11]
　The automatic call registration method according to claim 10,
　wherein when the first person is detected at the hall in the facility, the hall elevator service request device automatically displays the first direction as the destination direction. When the first person instructs the second direction as the destination direction by the hall elevator service request device, the automatic display of the first direction is canceled and the second direction is operated as the destination direction. And automatic call registration method.
[Claim 12]
　The automatic call registration method according to claim 10 or 11,
　wherein when the first person is detected at the hall in the facility, the hall elevator service request device automatically sets the first direction to the destination direction. When the first person instructs the second direction as the destination direction by the hall elevator service request device, the automatic display of the first direction is canceled and the second direction is set as the destination direction, Thereafter, when a second person is detected, the hall elevator service requesting device automatically displays the first direction as the destination direction, and the automatic call registration method.
[Claim 13]
　The automatic call registration method according to any one of claims 10 to 12
　, wherein the facility inside is used by using past experience data regarding the number of users and destination information at an elevator hall inside the facility. The automatic call registration method, wherein the first direction is predicted as the destination direction to be automatically displayed by the hall elevator service requesting device when the first person is detected at the hall.
[Claim 14]
　The automatic call registration method according to any one of claims 10 to 13,
　wherein the event schedule information in the facility is obtained, and the user is classified by floor of the hall from the event schedule information and the past experience data. An automatic call registration method characterized by predicting the destination direction of a car.
[Claim 15]
　The automatic call registration method according to any one of claims 10 to 14,
　wherein operation information in a public institution is obtained, and the destination direction of the user is determined by the operation information and the past experience data for each floor of the landing. An automatic call registration method characterized by predicting.
[Claim 16]
　The automatic call registration method according to any one of claims 10 to 15, wherein
　information about a destination direction to be automatically displayed is obtained as information for each preset time zone. Call registration method.
[Claim 17]
　The automatic call registration method according to any one of claims 10 to 16,
　wherein the destination information of the car is information of a direction of a car destination, information of a destination floor, or a position of the car. An automatic call registration method characterized by being information.
[Claim 18]
　The automatic call registration method according to any one of claims 10 to 17,
　wherein the information is destination information of the user, information of a destination direction of the user, or information of a destination floor. Call registration method.