JPH07257836A - Method and device for control of elevator - Google Patents

Abstract

PURPOSE:To make service in good response to varying business time band etc. and accomplish particular services for different demands of elevator management and users. CONSTITUTION:Collection of the elevator control data (Step 2B) and collection of the traffic information (Step 2B) are conducted, and judgement is made whether the collection of the traffic information has been conducted for the whole day (Step 2D). The feature of the traffic demand is extracted, and setting about the correction the feature mode itself, setting of a new one, and deletion is performed (Step 2E). Then the same traffic demand is partitioned by the predetermined time band to generate different feature mode, and the study of the traffic demand is made (Step 2F). Finally, on the basis of the studied traffic demand, the optimum operation control program is prepared for each partitioned time band by the simulation process, and the result is accommodated (Step 2G). and the elevator operations control is performed using this operation control program.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an elevator control apparatus and method capable of controlling operation according to traffic demand and building use.

[0002]

2. Description of the Related Art Japanese Unexamined Patent Publication No. 1-226679 provides an individualization support device that applies a fuzzy theory to numerical sensitivity to reflect the sensory demands of users and building managers in control. Is listed. Then, it is disclosed that by inputting a request regarding the operation of the elevator to the personalization support device, a personalization control program according to the use of the building is generated, and the operation control of the elevator is performed by this.

In Japanese Patent Laid-Open No. 3-124676, a neuron is applied to automatically set a control parameter matching a building-specific evaluation standard for each time zone, and the elevator is operated using this control parameter. Controlling is disclosed.

Further, Japanese Patent Laid-Open No. 59-48369 discloses that an individualization control program is generated for each traffic demand. In the office building, since the traffic demands are different at work in the morning, at lunch, and at the time of leaving the office in the evening, the operation control of the elevator can be performed by the individualization control program generated for each traffic demand.

[0005]

However, among the above-mentioned conventional techniques, Japanese Patent Laid-Open No. 1-226679 and Japanese Patent Laid-Open No.
In the one disclosed in Japanese Patent No. 124676, even if the elevator manager tries to change the individualization target due to a change in traffic demand or a jumping-in visitor, the individualization support device is used. There is a drawback in that it is not possible to easily change the individualization target desired by the administrator of.

Further, according to the one disclosed in Japanese Patent Laid-Open No. 59-48369, since the individualization control program is generated for each traffic demand, the individualization control program is determined to be the same when it is determined that the traffic demands are the same. turn into. That is,
There is a drawback in that it is not possible to make individualized selections that correspond to the usage status of elevators in the building, such as the working hours and visitor hours.

An object of the present invention is to flexibly respond to changes in the traffic demand of buildings, business hours, etc., and to realize a personalization service suited to the needs of elevator managers and users. An elevator control apparatus and method are provided.

[0008]

In order to achieve the above object, an elevator control device of the present invention comprises a utilization information collecting means for collecting the number of passengers getting on and off a car and elevator use information such as hall calls and car calls. , Individualization target setting means for setting a plurality of individualization targets according to the use of the building by time zone or type of traffic demand, and based on the elevator usage information collected by the usage information collection means, The operation control is performed for each time zone that is adapted to the individualization target set by the individualization target setting means by learning the use status by classifying the usage status and simulating elevator operation using the learning result. Operation control program generating means for generating a program and operation control program storage for storing the generated operation control program And the step, and detects the current time zone, select operation control program corresponding to the time zone the detected from among the operation control program storage means,
Elevator control means for controlling the operation of the elevator by using the selected operation control program.

In the above elevator control device, it may be performed according to traffic demand instead of according to time zone. Further, the individualization target may be configured to correspond to the setting with the schedule including the month, the day, and the time zone.

Further, the elevator control method of the present invention includes a first step of collecting elevator use information such as the number of passengers getting on and off a car and hall calls and car calls, and a plurality of personalization targets according to the purpose of the building. Based on the elevator use information collected in the first step and the second step of setting the
A third step of generating an operation control program for each time zone adapted to the individualization target set in the second step by simulating elevator operation using the learning result, and the generated operation control The fourth step of storing the program and the current time zone are detected, and the operation control program corresponding to the detected time zone is selected from the operation control programs stored in the fourth step, And a fifth step of performing elevator operation control using the selected operation control program.

In the above elevator control method, it may be performed according to traffic demand instead of according to time zone.

Further, based on the current usage information or the usage information that has been learned and stored according to the time of day or the traffic demand of the past days, the schedule of the operation program suitable for the individualization target set in the schedule is started. You may make it generate | occur | produce by performing a simulation before.

[0013]

Operation: The elevator usage information is constantly monitored, and when the personalization target desired by the elevator manager or the like is set, the usage status of the elevator is based on the elevator usage information according to the time zone (or traffic). It is classified into demands) and the elevator operation is automatically simulated using the learning results. By time zone (or traffic demand) adapted to the individualization target set by the elevator manager, etc. Another) operation control program is automatically generated and stored in a storage medium.

When the elevator control is performed based on the personalization target desired by the elevator manager or the like, the current time zone (or traffic demand) is detected and the detected time zone (or traffic demand) is detected. A corresponding operation control program is selected from the storage medium, and the operation of the elevator is managed using the selected operation control program.

As described above, according to the present invention, it becomes possible to provide detailed service in response to changes such as business hours and events of buildings and rapid changes and temporary increases in traffic demand, and elevators It is possible to realize a personalized service suitable for the needs of the administrator and the user.

[0016]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of an elevator group supervisory control device according to the present invention will be described in detail below with reference to the drawings. Although the embodiment described below is an example of selecting the individualization control method for each traffic demand, the present invention is similarly applied to the case of selecting the individualization control method for each time zone or schedule setting. can do.

(First Embodiment) In FIG. 1, 1 is an elevator control device, 2 is a control method setting device, 10 is a group management control device, 11 is a hall call registration device for each floor, 12 is a building management device, and 13 is a landing. Display device, 15 and 16 are alarms,
20 to 22 are machine control devices, and 30 to 32 are cars. The elevator control device 1 includes a group management control device 10 and a unit control device 20 that controls each unit elevator.
22 to 22, and can be configured by a known microcomputer control method.

In FIG. 2, CP10 is an operation control program, CP20 is a traffic demand determination program, and CP3.
0 is a communication program, CP40 is a usage information collection program, CT11 is an operation parameter table, CT12 is an elevator control data table, CT13 is a hall call table, CT14 is an elevator specification table, and CT15.
Is a traffic information storage table, and CT16 is an individualization selection control table. The detailed structure of the tables CT11 to CT16 is shown in FIG.

The group management control device 10 receives a signal from the hall call registration device 11 on each floor and a signal from the building management device 12, and outputs a signal to the hall display device 13 of all elevators in the hall. Unit control device 20
Indicated by the instructions from the group management control device 10 to 22 are the alarm 15 and the hall lantern, the chime, etc., which perform the traveling control of the elevator cars 30 to 32 of each elevator and the opening / closing control of the doors, and provide various information in the car. The alarm 16 is controlled in the hall for each elevator. Further, the group management control device 10 receives the command from the control method setting device 2 through the line 6 to set the individualization target for each basic traffic demand or each time zone and the individualization target schedule.

As shown in FIG. 2, the software of the group management control device 10 includes an operation control program CP10, a traffic demand determination program CP20, a communication program CP30,
A utilization information collection program CP40 is provided.

The driving control program CP10 selects a driving parameter corresponding to the current traffic demand from the driving parameter table CT11 based on the judgment result of the traffic demand judgment program CP20. Then, group management control such as hall call allocation processing is performed based on this operation parameter. In addition, the operation control program CP10 also includes, as other input information, the current time zone transmitted from each unit control device 20 to 22, the position and direction of the elevator from the elevator control data table CT12, the car call floor, and the like. Information, hall call information from the hall call table CT13, information such as the number of managed elevators from the elevator specification table CT14 are given.

The traffic demand judgment program CP20 judges the feature mode identification or size of the current traffic demand in the building according to the number of passengers getting on and off each floor, the opening time of the door, etc., and transmits the judgment result to the operation control program CP10. . By changing the traffic demand determination program CP20 to the time zone determination program, the individualization control method can be selected according to the time zone.

The utilization information collection program CP40 samples various information such as hall calls, elevator control table contents, and passenger detection data for each car on each floor on a fixed traffic volume collection basis or on a fixed cycle basis. This program collects data for learning and simulation of traffic information and calculation of its control parameters, and mainly collects traffic demand by floor.

The communication program CP30 is a program for communicating with a control method setting device 2 provided outside the group management control device 10 in order to set a desired individualization control method for each basic traffic demand. . This communication program CP30 is configured by integrating the control method setting device 2 with the operation control program CP10, and when the control method can be set in the group management control device 1,
It can be unnecessary.

As described above, the software tables used in the group management control device 10 are the operation parameter table CT11, the elevator control data table CT12, the hall call table CT13, the elevator specification table CT14, the traffic information storage table CT15, and the like.
Each table is made up of the individualization selection control table 16, and each of these tables is made up of each illustrated block, as shown in FIG. Then, in the present embodiment, different personalization control is realized in the elevator group management control by selecting a combination of different parameters from the above-mentioned operation parameter table CT11.

The variables K, J, and I in the blocks of each table shown in FIG. 3 respectively indicate the elevator number, the hall call direction, and the hall floor. In addition, the above-mentioned programs CP10, CP20, CP3
0 and CP40 are divided into a plurality of tasks, and are managed under a system program that performs efficient control, that is, an operating system (OS). Therefore, these programs can be freely activated by activation from the system timer or activation from another program.

Next, the overall operation of the elevator control apparatus of this embodiment will be described with reference to FIG. Here, FIG. 4 shows the processing operation of the operation control program CP10. (1) The operation control program CP10 is started after the power is turned on or by restarting, and first executes an initial process which is an initial process such as a clear process of the elevator control data table CT12 (step DCP10). (2) Next, the hall call for all floors is input, the hall call table CT13 is set and reset, and the response lamp turn-on and turn-off commands for the hall call are output (step DCP20). (3) The communication data from the No. 1 control device is stored in the elevator control data table CT12 (step DCP3
0). (4) The current traffic demand and time zone are determined, and the corresponding personalization control operation parameter is selected to determine the personalization control method for group management control (step DCP40).
~ Step DCP50).

(5) Next, an actual hall call allocation process is performed by using the operation parameters selected in step DCP50 (step DCP60). (6) Elevator services such as current control contents and arrival guidance, and guidance notification processing such as building guidance information from the building management device 12 are performed (step DCP70). (7) Finally, other processing required for elevator control not directly related to the present invention is executed (step DCP).
80). The processes of steps DCP20 to DCP80 described above are repeatedly executed until the power source is down or a program abnormality occurs, and the elevator group management control is executed.

Next, the control method selection processing in step DCP50 of FIG. 4 described above will be described with reference to the flow chart shown in FIG. In the illustrated embodiment, three methods can be selectively used as the selection method of the individualization control method. These methods include individuality set by traffic demand, time zone, and time zone. There is a combination target of individualization target and traffic demand and schedule setting of individualization target.

(1) First, the schedule of the individualization target is set (step DCP500), and it is judged by online simulation whether the generation of the individualization control program is completed (step DCP50).
7) When it is completed, the parameters of the table CT11-i are selected (step DCP508). As a result, it is possible to perform personalization operation that immediately responds to the schedule given by the elevator administrator or the personalization target given tentatively according to events or sudden changes in traffic demand.

(2) Next, it is checked whether or not the time zone is set (step DCP501). If the time zone is not set, it is set for the traffic demand determined in the above-mentioned step DCP40. The control method number corresponding to the individualization target is determined (DCP 505). (3) If it is determined in step DCP501 that the time zone is set, it is checked whether or not the individualization target is set for each traffic demand (step DCP502). If the individualization target is not set online, the above-mentioned step DCP4
The individualization control method number is determined only from the time zone determined in 1 (step DCP504).

(4) If it is determined in step DCP502 that the individualization target is set, and if it is determined in step DCP507 that the program generation is incomplete, the traffic demand determined in step DCP40 described above. And the individualization target selected in step DCP42 are combined to determine the individualization control method number (step DCP503). (5) Finally, step DCP503, DCP504,
Operation parameters are determined according to the individualization control method determined by the DCP 505 (step DCP 506).

Next, the above-mentioned DCP503, DCP50
4, part of the configuration of the personalization selection control table CT16 used in the process of selecting the personalization control method determined by the DCP 505 will be described with reference to FIG. Each table shown in FIG. 6 may be provided in the operation control program CP10, or may be connected to the operation control program CP10 as another table.

FIG. 6A is an example of a data table used when selecting an individualization control method for each traffic demand, that is, a personalization control program generated by using a simulation function. It is a table in which a demand number and an individualization control method number corresponding to the number are stored as a pair. When the traffic demand is determined, the personalization control method number corresponding to the traffic demand number can be obtained by referring to this table, and thus the personalization control method is selected.

FIG. 6B is an example of a data table used when selecting an individualization control method for each time zone, in which the time zone number and the individualization control method number corresponding to the number are paired. It is a stored table. When the time zone is determined, the time zone number can be obtained by referring to this table, and thus the individualization control method is selected.

By preparing each table of FIGS. 6A and 6B for each floor and setting an individualization target for each floor, floor individualization control can be easily performed.

Specifically, the traffic demand numbers 1 to 8 are, for example, traffic demand at work, traffic demand at work, traffic demand at first half of lunch, traffic demand at second half of lunch, traffic demand at off-season, traffic demand at morning and afternoon. Indicates normal traffic demand. Also, the time zone number 1
Specifically, 8 to 8 represent, for example, the working hours, the first half of the lunch, the second half of the lunch, the off hours, and the normal hours, which are peculiar to the building to which the group management control device is delivered. The time zone is set in the table CT16-B according to the number.

Specifically, the individualization target is, for example, emphasis on hall call continuation time (waiting time), importance on car call duration, importance on congestion in the car, importance on passenger ratio, importance on transportation capacity, importance on energy saving effect, Reservation change rate emphasis, passing rate emphasis, immediate reservation rate emphasis, and a plurality of the above items are emphasized at the same time. Here, a case where a maximum of eight targets are handled is shown.

Further, the individualization control method is specifically, hall call duration (waiting time) -oriented control, car call duration-oriented control, in-car congestion degree-oriented control, passenger ratio-oriented control, transportation capacity-oriented control. , Energy-saving effect-oriented control,
Reservation change rate-oriented control, pass rate-oriented control, immediate reservation rate-oriented control, standard control, etc., obtained by program CP40 simulation based on traffic information data (CT15) learned by time zone or traffic demand feature mode It is a thing. Here, a maximum of 128 control methods are stored in the table CT11 shown in FIGS. 3 and 7.

FIG. 7 shows a specific example of a data table that stores operating parameters, which represents a personalization control program corresponding to a personalization control method number. Such a table corresponds to the individualization control method, is prepared in the number corresponding to the individualization control method, and is configured in the form of the table CT11 shown in FIG. 3 as a whole. The contents of the table are a plurality of types of operation parameters and their specification values.

Therefore, the step DC explained in FIG.
When the individualization control method number is determined in P503, DCP504, and DCP505, in step DCP506, as shown in FIG.
The data table of the target number is selected from the plurality of data tables as shown in FIG. 2, and the plurality of operation parameter values required by the operation control program CP10 shown in FIG. 2 are selected and used from the selected data table.

Next, the hall call allocation processing in step DCP60 of FIG. 4 described above will be described with reference to the flow chart shown in FIG. (1) First, since the hall call assignment processing for all floors of ascending and descending is performed in order, a loop variable of direction and floor (direction J
n, floor In) is initialized (step HCSP1)
0). (2) Next, it is determined whether or not there is an allocation request hall call in the loop. This determination may be a determination as to whether or not there is a newly generated hall call, or simply a determination as to whether or not a call has been registered (step HCSP2).
0).

(3) If it is determined in step HCSP20 that there is a call allocation request, hall call allocation elevator selection processing is performed (step HCSP30). Here, when the floor individualization control is performed, the individualization control method number table CT16-C prepared for each floor is used to select from the operation parameter table CT11 each time. (4) After the processing of step HCSP30 is completed, or
If there is no call allocation request in the determination of step HCSP20, it is checked whether the processing for all floors is completed, and if completed, the processing is completed (step HC
SP40). If the processing is not completed, the loop variable (Jn, In) is updated (step HCSP5
0), the process returns to step HCSP20. Then, the determination of the HCSP 20 and the allocation process of the HCSP 30 are repeatedly executed until the processes for all floors are completed.

Although the above-described embodiment has been described by automatically selecting the individualization control method according to traffic demand, time zone, or a combination thereof, the present invention is not limited to the elevator manager or use. It is possible for a person to select only the individualization target, which allows the individualization control method to be selected more easily and timely.

FIG. 9 is a utilization information collection program CP of FIG.
It is the flowchart which showed 40 concretely. The flowchart will be described below. (1) The contents of the elevator control data table CT12 and the contents of the elevator specification table CT14 of FIG. 2 are fetched, initial values are created and set in a common information learning table (not shown) (step 2A). (2) Next, the usage information collection program CP40 is activated to collect traffic information. The use information collection program CP40 ends when the number of people getting on and off the traffic information exceeds a predetermined value, or when the traffic information collection has passed a predetermined period (step 2B).

(3) Then, the start time zone is 2 to 30 minutes before the schedule consisting of the personalization goal and the month, day, and time zone set in the personalization goal schedule setting table CT16-D in step 2C1. It is determined whether there is a vehicle approaching the vehicle, and in step 2C2, the predicted traffic information 2 to 30 minutes ahead of the learning data of the current or past traffic demand is estimated, and the given floor distinction target is obtained. A program optimal for the above is generated and stored in the table CT11. (4) It is determined whether the traffic information has been collected for one day in step 2B (step 2D). Note that the collection of traffic information is not limited to one day, and may be shorter than one day, or may be long time, for example, one week.

(5) Next, the feature of traffic demand is extracted, and the feature mode itself is corrected, and settings such as new installation and deletion are made (step 2E). (6) Further, the same traffic demand is classified according to preset time zones and set as different characteristic modes, and the traffic demand is learned (step 2F). (7) Finally, for each divided time zone, an optimal driving control program is generated using simulation based on the learned traffic demand, and stored in the driving parameter table CT11 (step 2G), and then step 2B. Return to.

Details of step 2B in FIG. 9 are shown in FIG.
Will be explained. (1) First, the initial set of variables and the inside of the collection table are cleared (step 2B1). (2) Next, the elevator control data table CT12,
The contents of the hall call table CT13, the elevator specification table CT14, etc. are fetched and the collected traffic information such as the number of people getting on and off is stored in the traffic information storage table CT15 (step 2B2).

(3) Next, data such as average weight, door opening / closing time, boarding / alighting time, etc. necessary to grow the simulation equivalent elevator control program into a program having a function equivalent to that of an actual machine in various buildings. To collect. This collecting operation is always executed once per second (step 2B3), and every 2 minutes, the next step 2B5 is executed.
Go to (step 2B4). (4) Then, the current traffic demand and the current time zone collected in step 2B2 are learned, and the algorithm parameter and its control parameter for making the optimum operation control program are commanded. (Step 2B5). (5) Next, the traffic demand collected in step 2B2 is converted into the number of people, and it is determined whether the number of people exceeds 100 (step 2B6). If not, the process proceeds to step 2B7.
Determine if the collection time has passed 30 minutes (Step 2B
7). That is, when the traffic volume of 100 people or more is collected, or when the collection time has passed 30 minutes, the data collected in step 2B3 is stored in the sampling data table. (6) Finally, the same traffic demand is divided into preset characteristic time zones and set as different characteristic modes, and the traffic demand is learned. (Step 2B8). (Second Embodiment) Next, a second embodiment of the present invention will be described with reference to FIG. In Japanese Unexamined Patent Publication No. 59-48369, individualization control programs are generated for each traffic demand, so that only one individualization control can be performed for the same traffic demand. Therefore, in this embodiment, even if the same transportation demand for lunch is used, it is divided according to the time zone during work and during lunch break. Specifically, during the lunch break, the inter-floor demand is almost unimportant and the peak of users heading to the cafeteria floor is expected.
Since the inter-floor demand is more important, the individualization goal is set to give priority to the general floor and the conference room floor. Furthermore, according to traffic flow,
Normal (BT1), Early Lunch (LBT2), Mid Lunch (LBT1), Late Lunch (LBT3), Normal (BT
By classifying into 2) and learning the traffic demand, it becomes possible to generate a driving control program.

(Third Embodiment) Next, a third embodiment of the present invention will be described with reference to FIG. Even if the traffic demand is the same, it is possible to perform classification learning according to time zones and generate operation control programs for the respective divided time zones.
In FIG. 12, the traffic demand at work is from 7:30 to 9: 3.
Consider the case where 0 occurs. At this time, in the time zone before 8:00 (scheduled start time), the peak time of coming to work is reached, so lobbying priority transportation control is implemented. In contrast, 8:00
During the time period thereafter, flextime users who come to work and users who are working coexist, so it is important to implement control that prioritizes inter-floor demand. And as for traffic demand, it is quiet (IT) before 7:30, and from 7:30
9:30 is the up-peak (at work) traffic demand, 9: 3
Since 0 is normal (BT), the traffic demand is learned for each time zone and traffic demand, and the driving program is generated.

(Fourth Embodiment) As a modification of the third embodiment, the traffic demand learning is performed as UP from 7:30 to 9:30 and two types of operation control programs are generated in step 2G of FIG. Also, it is possible to obtain almost the same effect.

The individualization control described so far can also be performed for each floor.

According to the above-described embodiment of the present invention, the traffic demand is learned by classifying the traffic demand in a preset time zone,
By generating the individualization control program and controlling the operation of the elevator, it becomes possible to select the individualization corresponding to the usage information of the elevator in the building, for example, the working hours and the visitor hours. That is, since the elevator control method can be changed according to the traffic demand or time zone in the building, highly flexible and detailed service can be realized.

(Fifth Embodiment) In the above embodiments, the number of programs to be generated is the number of learning divisions, and the number of programs may be once a day, which is advantageous in that a relatively slow computer can be used. There is a drawback that it cannot respond to a sudden change in the individualization target.

Therefore, the utilization information collection program CP40
Alternatively, step 2C2 in FIG. 9 is configured by another microcomputer, and an optimum operation program for the individualization target is generated online. Further, following step 2B in FIG. 9, it is determined in step 2C whether or not the individualization target schedule is set.
In step 2C2, an optimal operation program that matches the building event of the day is generated by the simulation performed online before the schedule. As a result, it is possible to exert an effect that the adaptive control can be quickly performed in response to a change in traffic volume or schedule on the day (parameters are output in step 2B5).

(Sixth Embodiment) In the first embodiment, the group management control device 10 can be configured by a computer having a relatively low processing capacity, but this cannot cope with the schedule change on the day.
Therefore, another high-speed microcomputer is installed, or a microcomputer for the number of learning categories is installed.
In step 2G of FIG. 9, all the personalization programs that can be set as individualization targets are generated, given to the operation control computer by the transmission means or the shared memory, and stored in the operation parameter table CT11.

With such a configuration, the operation suitable for the purpose is provided according to the judgment of the elevator manager and the request of the individual floor managers or individual users according to the situation or event at that time. can do.

[0058]

As described above, according to the present invention, it is possible to select the individualization control according to the use of the building and perform the optimum elevator operation control according to the characteristic mode or time zone in the building. Therefore, it is possible to realize highly flexible and detailed service.

[Brief description of drawings]

FIG. 1 is a block diagram showing a general hardware configuration of an elevator control device.

FIG. 2 is a software configuration diagram in the elevator control device of the present invention.

FIG. 3 is a diagram showing a table structure of software.

FIG. 4 is a flowchart showing an overall processing operation of an operation control program.

FIG. 5 is a flowchart showing the operation of the operation parameter selection processing.

FIG. 6 is a configuration diagram of a data table used for selecting an individualization control method.

FIG. 7 is a diagram showing a data table storing operation parameters according to the individualization control method.

FIG. 8 is a flowchart showing an operation of hall call allocation processing.

FIG. 9 is a flowchart showing a processing operation of a usage information collection program.

FIG. 10 is a flowchart showing a processing operation in step 2B of FIG. 9.

FIG. 11 is a diagram for explaining an example of generating a plurality of individualization controls for traffic demand.

FIG. 12 is a diagram for explaining usage information learning for each time zone and generation of a time zone distinction program.

[Explanation of symbols]

 1 Elevator control device 2 Control method setting device 10 Group management control device 11 Hall call registration device on each floor 12 Building management device 13 Landing display device 15, 16 Alarm device 20-22 Unit control device 30-32 Car cage CP10 Operation control program CP20 Traffic Demand judgment program CP30 communication program CP40 usage information collection program

Claims (6)

[Claims] 1. A utilization information collecting means for collecting information on the number of passengers getting on and off a car and elevator use information such as hall calls and car calls, and personalization for setting a plurality of individualization targets according to the purpose of use of the building for each time zone. An operation control program with a time zone adapted to the individualization target set by the individualization target setting unit by performing a simulation of elevator operation using the target setting unit and the elevator usage information collected by the usage information collection unit. And an operation control program storage means for storing the generated operation control program, a current time zone is detected, and stored in the operation control program storage means during the time zone. Elevator control means for controlling the operation of the elevator using the operation control program described above. Elevator control system. 2. A usage information collecting means for collecting the number of passengers getting in and out of a car, and elevator usage information such as hall calls and car calls for each of a plurality of traffic demands, and a plurality of individualization targets according to the purpose of use of the building at different time zones. Based on the individualization target setting means set separately and the elevator usage information collected by the usage information collection means, the usage status of the elevator is learned by classifying it according to the traffic demand, and the learning result is used to lift the elevator. Operation control program generation means for generating a traffic demand-specific operation control program adapted to the individualization target or a plurality of individualization targets set by the individualization target setting means, and the generated operation control program The operation control program storage means for storing the individual traffic information according to individualization target and traffic demand, and the current traffic demand are detected. While outputting, the personalization target corresponding to the current time is detected, and the operation control program corresponding to the detected traffic demand and personalization target is selected from the operation control program storage means, and the selected operation control is performed. An elevator control device comprising: an elevator control means for controlling the operation of the elevator using a program. 3. The elevator controller according to claim 1, wherein the personalization target is a hall call duration time,
Car call duration, congestion in the car when arriving in the hall, crossing rate, maximum number of people in the car per lap of elevator,
Of the data on elevator transportation capacity, reservation change rate, car passing rate on floors with hall calls, immediate reservation rate, first-arrival rate other than reserved elevators, power consumption, etc.
At least two elevator control devices. 4. A first step of collecting information on the number of passengers getting on and off a car and elevator use information such as hall calls and car calls, and a second step of setting a plurality of individualization targets according to the purpose of use of the building by time zone. And, based on the elevator usage information collected in the first step, learn the usage status of the elevator by classifying it according to the time zone, and perform a simulation of elevator operation using the learning result. The third step of generating an operation control program for each time zone adapted to the individualization target set in the second step, the fourth step of storing the generated operation control program, and the current time The zone is detected, and the operation control program corresponding to the detected time zone is stored in the fourth step. A fifth step of selecting from the programs and controlling the operation of the elevator using the selected operation control program, and an elevator control method comprising: 5. A first step of collecting information on the number of passengers getting on and off a car and elevator usage information such as hall calls and car calls, and a second step of setting a plurality of individualization targets according to the usage of the building for each traffic demand. And, based on the elevator usage information collected in the first step, learning the elevator usage situation by classifying it according to the traffic demand, and simulating elevator operation using the learning result. The third step of generating an operation control program for each traffic demand adapted to the individualization target set in the second step, the fourth step of storing the generated operation control program, and the current traffic The demand is detected, and the operation control program corresponding to the detected traffic demand is stored in the fourth step. An elevator control method comprising: a fifth step of selecting from an operation control program and performing elevator operation control using the selected operation control program. 6. A first step of collecting information on the number of passengers getting on and off a car and elevator usage information such as hall calls and car calls, and a plurality of individualization targets according to the purpose of the building by time zone or traffic demand Based on the second step of setting and the elevator usage information collected in the first step, the usage status of the elevator is learned by classifying it by the time zone or the traffic demand, and using the learning result. A third operation control program for each individualization target by time zone or traffic demand adapted to the multiple individualization targets settable in the second step is generated by simulating elevator operation according to the third step. And a fourth step of storing the plurality of generated operation control programs
And the current time zone or traffic demand is detected, and the operation control program corresponding to the detected time zone or traffic demand and the individualization target set in the second step is stored in the fourth step. An elevator control method comprising: a fifth step of selecting from the operation control programs described above, and performing elevator operation control using the selected operation control program.