JPS5926873A - Elevator group controller - Google Patents

Abstract

(57) [Summary] This bulletin contains application data before electronic filing, so abstract data is not recorded.

Description

DETAILED DESCRIPTION OF THE INVENTION [Object of the Invention] The present invention relates to an elevator group management device, and particularly to elevator group management control using a computer.

[Prior art]

Conventional group control devices have difficulty in fine-grained group control that adapts to building-specific traffic conditions. It had the disadvantage of not being able to adapt to change.

[“Purpose of the invention”]

The purpose of the present invention is to calculate group management operation control parameters adapted to the traffic volume specific to the pill in a short time in an elevator group management device equipped with an in-building traffic collection means for capturing the traffic volume unique to the pill. The purpose of the present invention is to provide a group management device that can perform the following tasks.

[Features of the invention]

A feature of the present invention is that in group management control for allocating hall calls to elevators, nine variable parameters of the evaluation function for selecting the elevators to be allocated are inserted, and these parameters are set in advance according to the traffic in the building F+1. By selecting from multiple set traffic volume data or by interpolating multiple preset traffic volume data to make decisions in a short time, efficient group management control that immediately responds to the traffic volume within the building can be performed. K is possible.

[One example]

Hereinafter, the present invention will be explained in detail with reference to a specific embodiment shown in FIGS. 1 to 16. In addition, the explanation of the example will first be explained as follows.
The hardware configuration for realizing the present invention will be described, then the overall software configuration and its control concept will be described, and finally the software for realizing the above control concept will be explained using table configuration diagrams and flows.

FIG. 1 is an overall hardware configuration diagram of an embodiment of the present invention.

-[-Reheater group management device f'vj A has an elevator operation control function, an in-building traffic data collection function, an in-building traffic data and a plurality of preset traffic data, and compares the above data. (There is a microcomputer M that controls functions.

The microcomputer MK receives the call signal H from the hall call device HD.
A circuit PIA (peripheral
Microcontrollers E1 to E1 for controlling individual elevators, which are connected via l Interface Adapter) and control individual elevators such as door opening/closing and corner acceleration/deceleration commands.
1 (Here, it is assumed that there is an n-th elevator.

) are connected to serial communication processors 5DAI to 5DAn via communication lines CM1 to CMn.

On the other hand, the signal PM from the setting device PD, which gives commands necessary for determining the variable parameters described above, is manually input via a circuit PIA that outputs signals in parallel.

The microcomputers E1 to EnK for controlling the units are equipped with control input/output consisting of call information required for side slopes, car load change information at each floor, various safety limit switches for elevators, relays, and response lamps. The circuit PIA that inputs and outputs signals in parallel with the elements EIOI to EIOn is connected to the signal line 5IOI.
~S l0rl.

The present invention will be explained in detail using FIG.

The microcomputer M has a built-in operation control program mainly for call assignment, and this operation control program receives information necessary for control from the side-turning microcomputers E1 to En of each machine and the hall call HC. Further, the operational sterilization program performs call assignment using the variable parameters described above. For example, this parameter includes a weighting coefficient that indicates the relationship between waiting time and power consumption evaluation value in the call assignment evaluation function, a time coefficient that determines the door opening/closing time, and a call assignment control logic, that is, a call assignment algorithm. There are control parameters etc. to select.

These variable parameters are set by the microcontrollers E1 to E for each machine.
It is calculated using the information on the number of passengers getting on and off each floor obtained from n, a plurality of preset traffic volumes, and the command PM from the setting device PD. This calculation is processed in real time at a fixed period IU, and outputs eight operational side parameters that are optimal for elevator group management at each time.

For example, when the setting device PD is commanded to minimize the waiting time, it first compares the building whiteboard general data from that point until a predetermined time before with a plurality of preset traffic data,
Select the traffic data closest to the pill traffic data from the preset original traffic data, and select the shortest waiting time from the list of waiting time data in the selected transit volume data. Select parameters to achieve this. This parameter is assumed to be the optimal driving control parameter for the current traffic volume within the building. Therefore, the group management control of elevators according to the present invention can respond to the ever-changing environmental conditions of the building, and greatly contributes to improving the performance of group management of elevators.

? The specific hardware configuration of each XK1 microcomputer will be shown, but these microcomputers can be easily configured as shown in FIGS. 2 and 3. The MPU (841cro Processing Unit), which is the center of the microcomputer, has 8
8-bit hmpu is suitable because it does not require much processing power, especially for the microcomputers E1 to En for controlling machine numbers. On the other hand, since the microcomputer M for the elevator operating side (goods) requires complex calculations, a 16-bit MPU with excellent calculation performance is appropriate.

Now, each microcomputer has M as shown in Figures 2 and 3.
i) ROM (Read Only Memory) that stores side program 1, etc. on the path line BUS of U
and R for storing 1lilJ control data, work data, etc.
A M (random Access i%4emo
ry) 1 and a circuit PIA that outputs signals in parallel,
Dedicated processor S DA that performs serial communication with other microcontrollers
(Serial 1)a (aAdapter H, for example, H1 manufactured by Hitachi, Ltd. 43370) is connected.

In addition, in each microcomputer M, El to I'rn, It
, to A-1,R,OM is composed of a plurality of elements depending on the size of its control program.

In Fig. 2, the setting device P1]-1 is composed of a setting volume VR and an A/D converter that converts the analog output pressure of this VR into a digital value.
M is taken into 1 from PTA to A and n71. Ru.

@ In Figure 3, the elevator control data includes, for example, the car call button CB and the safety limit switch S.
WL, Relay contact SWn, Car heavy discharge We i g
h t is loaded into the RAM from the PIA.

On the other hand, the data calculated by the MPV is outputted from the PTA to the control element 1, such as the response lamp Lalηp and the relay ■ty.

Here, the hardware configuration of the processor SDA for serial communication between microcomputers used in FIGS. 2 and 3 is mainly a transmission buffer TX!, as shown in FIG. 1゜Reception buffer R) t++, P for parallel/serial conversion of data
/S, S/I) that performs inverse conversion, and a controller CNT that controls their timing. The above transmission buffer 'I' X n 1 reception buffer R,
The controller CNT sends the contents of the transmission buffer TXm to the reception buffer RXB of another SDA via the P/S.
It has a function to automatically send to. Therefore, since the microcomputer does not have to perform any transmission/reception processing, it can concentrate on other processing. The detailed structure and operation explanation regarding this 51)A are disclosed in Japanese Patent Application Laid-Open No. 1988-37972 and Japanese Patent Application Publication No. 1987-37973.

Next, a software configuration according to an embodiment of the present invention will be described.First, the overall software configuration will be explained with reference to FIG.

As shown in FIG. 5, the software is roughly divided into operation control system software SF1 and optimum operation control parameter calculation system software SF2, both of which are processed by the microcomputer M.

Operation control system software SFI is an operation control program 5F that directly commands and controls elevator group management control such as call assignment processing and elevator distributed standby processing.
It consists of 14 parts. The machine control program (Figure 1: built-in microcontrollers E1 to EnK) is used as the human power information for this program.
Elevator control table SL"11 including elevator position, direction, car call, etc., hall call tape/l'sl"12, elevator specification table 5F13 including number of elevators to be managed, etc., and optimum operation, sent from On the side m41 Harameter calculation system liftware SF2, i'l1 (n), the outputted optimal operation control parameters, etc. are used as human data.

On the other hand, optimal operation control parameter calculation system software S
I''2 consists of the following processing program.

(I) Hill traffic data collection program SF21...
This is a program that samples the contents of the hall call and elevator control tables online at predetermined intervals and mainly collects the traffic volume within the pill.

(2) Optimal traffic volume calculation and optimal operation control parameter calculation program 5F25...In-pil traffic data collected for a predetermined period of time, multiple traffic data set in advance, and arbitrarily set by the building manager. The target value is manually set, and first, the traffic volume whose difference from the traffic volume in the pill is within the reference value is selected from among the multiple traffic M'' set in advance.
If the difference between all preset traffic volumes and the traffic volume within the building is not within the predetermined standard value, the traffic volume obtained by adding and subtracting multiple preset traffic volumes will be calculated based on the traffic volume within the building. Select the traffic volume with the smallest difference. This selected traffic volume is defined as the current optimal traffic at.

Next, operating control parameters that achieve the target value set by the building manager within a predetermined reference value under the optimal traffic volume are selected from the optimal traffic volume data. If there is no driving control parameter in the optimal traffic volume data that achieves the target value within a predetermined reference value, the driving control parameter that can be obtained by interpolating multiple driving control parameters in the optimal traffic volume data. Among the parameters, select the operation control parameter f that minimizes the difference from the target value. This selected operation control parameter is set as the optimum operation control parameter. ''As you can see, this program - 1 Optimum operation control) Parameters should be fully utilized.

Next, a table configuration used in an embodiment of the present invention will be explained with reference to FIGS. 6 and 7. Figure 6 shows the double configuration of the operation sterilization system software, which can be roughly divided into elevators and
Control table SF 11, pole call table 5F
12. Elevator - specification table S Fl Consists of 3 blocks. The tables in each block will be described each time the operation control program described below is explained.

Figure 7 shows the table configuration of the optimal operation control parameter calculation system software, and shows the traffic volume in the building Cheetah Table 5F2.
2. Multiple preset traffic data tables 81”
23, a target value table 8F24, and an optimum operation control parameter table 5F26.

Next, an embodiment of the software of the present invention will be described.

First, the program for the operation control system will be explained, and then the program for the optimum operation parameter calculation system will be explained. It is assumed that the program described below is managed under a system program that divides the program into a plurality of tasks and performs efficient control, that is, an operating system (O8). Therefore, programs can be started freely from the system timer or from other programs.

Now, FIGS. 8 to 11 show the flow of the driving side σII program. Two of the most important driving-side sub-programs, the elevator-predicted arrival time table calculation program and the call assignment program, will be explained.

FIG. 8 is a flowchart of a program that calculates the arrival time 6111 to any floor of the elevator, which is the basic data for calculating the waiting time evaluation value 11j. This program is activated periodically, for example, every second, and calculates the predicted arrival time from the current position of the elevator to a desired floor for all floors and for all elevators.

In FIG. 8, steps EIO and E 90 t'l:
, indicates that loop processing is performed for all elevators. In step E20, an initial value is first set in the work time table T, and its contents are set in the predicted arrival time table of FIG. As initial values, the door opening/closing state, υ, the time required for departure, and the predetermined time until the elevator is activated when it is idle, etc. can be considered.

Next, advance one floor (step E30) and compare whether the floor is the same as the elevator position (step E40). If they are the same, it means that the predicted arrival time table for one machine L/Beta has been calculated.
Jumping to step E90, the same process is repeated for other elevators. On the other hand, if "NO" in step E40, the first floor running time T is stored in the time table T.

is added (step E50). This time table T is then set in the predicted arrival time table (step E60). Next, it is determined whether there is a call to be serviced by the elevator in question or the allocated hall call, and if there is, the elevator will stop. Add to the table (step E 80 ). Next, the process jumps to step E30 and repeats the above process for all floors.

FIG. 9 shows the flow of the call allocation program, which is activated when a poll call occurs.

In this program, the call allocation algorithm is a long-waiting call minimization call allocation algorithm (described later in FIG. 10) as shown in step A50.

When a hall call occurs, first, in step AIO, the generated hall call is read from the outside. And step A2
0 and A 801 STETSU 7'A Perform the following processing with 30 and A70. In other words, if there is a hall call, the most suitable elevator in terms of minimizing long-waiting calls will be selected.
This call is assigned (step A60).

FIG. 10 is a processing flow of the long-waiting call minimum call allocation algorithm. In order to determine which elevator is optimal, from steps A30-1 and A50 6VC xv
Loop processing with one Beta unit. In the process in the loop, first, in step A30-2, the maximum predicted time 'I'may of the allocated hall call on the forward path including the generated hall call is calculated. The predicted waiting time is the sum of the hall call elapsed time (see FIG. 6) and the predicted arrival time (see FIG. 6), which indicate the elapsed time from the time the hall call is generated to the present time. In the next step A30-3, a stop call evaluation value ゛Pc is calculated from the stop calls on predetermined floors before and after the generated hall call, and this evaluation value and the above-mentioned maximum predicted waiting time Tm are calculated.
ax and calculate the evaluation function φ (step A30-4)
. Then, the smallest elevator in this evaluation function φ is selected (A50-4). If the above process is executed for all elevators, the elevator with the optimum evaluation value will be selected by the calculation in step A30-5.

In the following, we have explained the processing flow of the predicted arrival time table calculation program and the call assignment program, which are operational sterilization programs. There is a distributed standby processing program that causes an elevator to wait at a predetermined floor when the elevator is quiet, but a description of these programs will be omitted.

Next, the program of the Nr&appropriate sterilization control parameter calculation system software will be explained using FIGS. 11 to 17.

FIG. 11 is a flowchart of the building white text traffic data collection program.

First, in step 5AIO, the total number of passengers getting on and getting off the stopped elevator is counted (6111).

Next, in step 5A20, the elevator is in one direction;
A stop floor is detected at SA30. From the above measurement data, the intra-pill traffic volume can be collected by updating the intra-pill traffic volume G(1, j, k) (step 5A40).

FIGS. 12 to 17 are programs that are the key points of the optimum operation open side 1 harammeter calculation system.

This program is activated every time a predetermined period of time (for example, 10 minutes) has elapsed, and extracts the trend of the current in-building traffic volume by comparing and interpolating with a plurality of preset traffic volumes. Next, the optimal operation control parameters are calculated based on this extracted tendency. P is calculated using a method etc. and stored in multiple preset traffic data tables SI" 23. Operation control parameters include crowdedness prediction parameters that greatly affect service performance depending on traffic demand, elevator The stop probability parameter for each floor or direction is necessary to accurately determine the predicted arrival time required for the ball to arrive at the hall call floor. A lockout parameter for allocating 1 room, and an area priority parameter for preferentially allocating hall calls occurring on floors near the continuous floors to elevators that have hall calls or car calls on consecutive floors. In addition, there is a door opening/closing time control parameter for controlling door opening/closing time, a priority service level variable make for preferentially servicing congested floors, etc.

The above-mentioned driving-side (goods) parameters vary greatly depending on not only traffic demand but also patterns such as dispatch and normal times.

Next, the basic concept of optimal operation parameter calculation will be explained.

First, the traffic volume within the building is compared with multiple preset traffic volumes, and the traffic volume with the most similar traffic demand and pattern is selected from among the multiple preset traffic volumes, and the similarity is evaluated. is within a certain standard value, the current traffic volume in the building is considered to be the same as the traffic volume selected above,
The driving ratio parameter for the selected traffic volume is set as the optimal driving control parameter for the current building white pattern total.

However, if the similarity is not within a certain standard value, the selected traffic demand and pattern are constructed by capturing multiple traffic surfaces within the vicinity of the traffic volume considered to be the most similar. Create traffic similar to internal traffic. The driving control parameters are also interpolated as described above (* calculation) to create the driving control parameters for the traffic volume created above.

As mentioned above, by interpolating operation control parameters for multiple preset traffic types instead of multiple preset traffic volumes, the optimal operation control parameters for the current traffic volume in the building can be determined. This is the important point of this patent.

FIG. 12 will be explained. - First, in step SBI, in-building traffic table G (1, j, k) (where, i...passenger number table or alighting number table, J...elevator one direction, k...
・・elevator - indicates the stop floor) and the preset r
For n traffic volumes H(i, j, t) = 1. ...
・・・In ) is compared to the most)
, lc, L”). Step 8132
In step 1, the optimal traffic volume H (P j, L '') table and the target value table are compared to determine the optimal driving control parameters.

Next, FIG. 13 is shown.

FIG. 13 is a program explaining step 5131 in FIG. 12.

First, in step 5BI-1, the traffic volume G(i,
j, k) and m preset traffic volumes H(i, L k
, 7) (t=1.~.m) difference E('+ J+ ke
Calculate the square of t). In step 5BI-2, E
Calculate the square of (i+j, k, t) and proceed to step 5B.
In I-3, variable J (elevator one direction [JP or D
OWn) for E('+ Je L') 2
Multiply calculation is performed, and in step 5DI-4, E ('p J r
1(v t) is squared, and in step 5BI-5, the building white text distribution G(i, j, k) and the preset traffic volume 1-1(i.

j, to 7) (A=1.m), the sum of the squares of the differences 8 (t
) (j=1.....+"). Next,
In step 5BI-6, the minimum value M in (7”) is found among m S<t>, and the middle traffic volume H
It is determined that ('+ J + J l-") is closest to the traffic volume in the building. In step 5BI-7, Min(
t*) is smaller than the reference value ST.

As a result, if it is within the standard value, the preset traffic volume I
I (i, j, i, t") is the same as the in-building traffic volume (step 8B1-9), and step 8131 is terminated. However, if Min(t") is greater than the reference value S'11' At the intersection, the preset traffic 1H (1゜j, ni, /
, ”) is not considered to be the same as building white text, and step 5BI
-8, the preset multiple traffic volumes are supplemented (
7, create the traffic volume within the standard value 81.

FIG. 14 illustrates a program for interpolating the preset traffic volume in step 5BI-8 of FIG. 13.

In step 5BI-8-1, the traffic volume in the building G(++j
+k) and the preset traffic volume H(i.

There is a difference between E('+'j+ kg t) and E(1, L k, tl) and E(1゜j) with different signs.
, it is determined whether t2) exists. If it exists, building traffic G (+ + J, k)
u is between the preset traffic volume 1 ((+, L k, 71) and 1 - I (+ * J r ket2 ), and using an appropriate positive number d, the standard value 81 υ can be created by interpolating the traffic volume H (1, j, 2) as shown in the following equation (1).

H(1, j, z*) = α・H(t, jt
k, tl)+(1-α)・H(i, j, k,
72) ・・・・・・・・・(1) (Step 5
BI-8-3).

In addition, the difference between the traffic volume in the building G (i, j, k) and the preset traffic volume 1-T (1, j , k, /ri) (1゜jt k, t) (t = 1 ~ m ), if there is no difference E ('l J l '<* z) with a different sign, the traffic volume 1-■(
,i.

J + ``+ 1'') cannot be created, so the first
The preset traffic volume) ((i, j, to, 7'' ) is considered to be the same as the building's total traffic volume.However, since the traffic volume inside the building is examined in detail at the time of building completion, the upper and lower limits of the building's total traffic volume can be predicted.

From this result, if the above upper and lower limits of traffic h1- are also set in advance, it will be practical.''2.The method according to this patent can accurately calculate the traffic that can be equated with pill-white text traffic G(i, J r k). Traffic that can be identified as (2) - [N4: Can be created by comparison or interpolation aW.

In step 5BI-'8-4, the average waiting time Tt*' at the traffic volume l] ('+ J + kHz") created by interpolation using equation (1), long-lasting part Pt*q, consumption 71
The T force value P W t* (q=1-n) is determined by the preset traffic volume ■■ ('e J, ni-zl) and I-1 (i,
j, k, t2) average waiting time T, Q,
T, q, long waiting rate P1'+long life, q, power consumption value PW, q
, PW, q (q=, 1 to n) and a positive number α, it can be found by interpolating as shown in the following equations (2) to (4).

TL, ==αTL, q+(1-α) Tt□(q =
t ~ n) −”(2)Pt*−”Ptl +(1−
a) Pz2 ((1-1~n) , , , , --・-
(3) PW t* = αPW L' + (1-α)P
t2q(q-1~n)...Similarly to song (4),
The operation control parameters to realize the above Tt*+Pt+PWL* (q=1~n) can also be calculated using the above positive number α using the following equation (5
) to (8) are determined by interpolation.

The area priority parameter K t*q (q-1 to n) is
Gut:=αI(t □ 10(1-4)Kt2q
...Song - (5) Door opening/closing time control parameter D 1 * q (q - 1 ~ n) is D - "αDL, q+ (1 - α) Dt29
Hit/song (6) Full crowd prediction parameter Ft” (q =
1 to n) are J・lt, q=αFt, q0(1−α)
Pt2q...Tune (7) Stop probability parameter 51-(Q===1~n) is St*q-αSt
, q+(1-α)St2q ・・・・・・・
...(8) In step 5BI-8-6, the traffic volume n(+) created in step 5BI-8-3.

It is determined whether the square of the difference between the amount of pills passed (G(1, j, lc)) is smaller than the reference value 8T by υ.

If it is small, it means that the optimal traffic volume and positive number α have been found. However, if it is thicker than the reference value ST, step 5
In I31-8-7, add 0.1e to the positive number α and repeat the above formula (1) to obtain 1INi of prayerful traffic.

j, to t'') and repeat the above process.

In this way, the optimal traffic volume II (
'+ Jr k+ 1'') and the driving side (goods) parameters were found.

FIGS. 15 and 16 are program flows for interpolating optimal operation control parameters in order to realize the target values in the target value table 5F24 set externally by the building manager or the like.

FIG. 15 is a flowchart of an operation control parameter calculation program for achieving the target value with high accuracy when the target value is the average waiting time.

This program is a program for when the target value is the average waiting time, but it is possible to create a program that can calculate the optimal operation control parameters even when the target value is the long waiting rate or power consumption value using a similar configuration. It is.

In step 5B2-1, it is determined whether the target value is the average waiting time. Otherwise, it ends, and if it is the average waiting time, in step 5B2-2, the average waiting time and the optimal traffic volume H(i) in the target value table.

Average waiting time Tt-(q=1~n
) Calculate the square A2(q) of the difference A(q) (A'(q)=
(Target value - ding,, qp, q==1~n), then the next Stella 7's B 2-3 Tld:, A'(q) (q=1~n
), find the minimum value M in (q umbrella). In step 5r32-4, it is determined whether Min(q'') is smaller than the reference value T[J. If smaller, the average waiting time Il
Considering that l t blur is equal to the target value, the operation control parameters that realize Tl''/ are the optimal operation control parameters (
The area priority parameter is medium, the door opening/closing time control 1 parameter D t*'', the full occupancy prediction parameter p t,
q *, stop probability parameter s t, q *, etc.) (step 8B2-6).

If it is not small, T t*” (q = 1~n)
is interpolated to create optimal operation control parameters (step 8B2-5).

Figure 16 shows the average waiting time Tz-(q=1~n) and the average waiting time [i
The square of the difference A'(q) (q=t~n) is all the reference value T
If Tt*'' (C1=1 to n) is larger than U, interpolate Tt*'' (C1=1 to n), and set the operation control parameters Kt*' and Dt♂.

Ft*q, St*q (Q = 1-n) are also interpolated 1.
Then, the average waiting time Tt* smaller than the reference value TU and the driving control huff −' −ta K t"" r D t"
``+F t'''' + S t'''''r.

In step 5B2-5-1, the difference A(q) (q=1 to n
), it is determined whether A(ql) and ノ~(q2) with different signs exist. If they do not exist,
The average waiting time target value is the optimal traffic volume ■1 ('1 j+
All average waiting times Tt*'(q
= 1 to n) means that it is larger but still smaller in size, so the operation control parameter selected in step 5B2-6 in FIG. 15 is set as the optimum operation control parameter.

However, it can be seen that the average waiting time target value, if present, lies between the average waiting time T z* q l and T,q2. Therefore, in steps 5B2-5 to 2, freezing β=0, and in step 5B2-5-3, Tt
Using *q1 and T z * q 2, Tt,
Find q *.

Tt*q'''=β'I't* -1-(1-β) '1
．． 't$q2 Next, in step 5B2-5-4, operation control parameters for realizing the newly created average waiting time Tt,q4' are calculated. In other words, area priority 9 * I parameters, l-city, door opening/closing time antibacterial harammeter 1
)j*", performance prediction parameter F t's '9, etc. t-9=βKt"'+ (1-β)Kz*q2Dt
*”-βDz4+(1-β) Dz*Ft-1βF
t*" + (1-β)■-1*q!. In step 5B2-5-5, the average waiting time Tt-" found in step 5B2-5-3 and the average waiting time target value are calculated. 2 of the difference between
It is determined whether the power is smaller than the reference value TtJ by υ. If you don't have to worry about it, in step 5B2-5-6, set β to 0.
．． 1 power [Count by 1 and repeat the above process. If it is smaller, the current LIT t*Q '' is equated with the average waiting time target value, and the operation control parameter KL''' + Dt〆,F
Let L*q, etc. be the optimal operation control parameter. With the above, this program has ended.

The above optimal operation control parameters) <The group management side under the optimal operation control parameter determined by the parameter calculation system software? It has been found that the elevator operation control desired by the pill administrator can be achieved by implementing [il'l], and is also adaptable to the traffic volume specific to the pill.

Optimal operation control parameter performance 1'1. In the system software, only the average waiting time is given as an example of the target value, but it may also be the longevity rate, or it may be the power consumption if energy saving is desired.

In the above embodiment, if the difference between the collected traffic volume and the preset traffic volume is more than a predetermined value, there is a drawback that group management collateral parameters suitable for the pill traffic volume cannot be determined. . However, in that case, if the group management control device is equipped with a means to simulate group control bacteriostatic control,
Using the collected traffic volume and the simulation means, it is possible to calculate driving control parameters suitable for any traffic volume within the pill.

An embodiment of the present invention has been described above, and the effects of the embodiment of the present invention will be described below.

The first effect is that multiple traffic volumes and optimal operation control parameters for the above traffic volumes (for example, area priority parameters that minimize waiting time, area priority parameters that enable energy-saving driving, and There are set door opening/closing time control parameters, fullness prediction parameters, stop probability parameters to accurately calculate the predicted arrival time required for the elevator to arrive at the corresponding hall call floor, etc.), and the number of elevator users. Service performance evaluation values and economic evaluation values, such as the average waiting time, longevity rate, and power consumption value, were set in advance and collected when the system was operated under group management under the above operation control parameters until a certain value was reached. A traffic volume whose difference from the current in-building traffic volume is less than a certain reference value is set to a certain reference value by selecting from among the plurality of preset traffic volumes or by interpolating the plurality of preset traffic volumes. The following traffic volume is calculated, and the four parameters of the optimal driving control and the service performance if'F value/economic evaluation value are also interpolated, so the optimal driving control parameters for the current traffic volume within the pill can be determined.

As a result, the group management device can easily adapt to changes in the building environment, which reduces the average waiting time, reduces long waiting times, and
This greatly contributes to reducing the occurrence of overcrowding and reducing power consumption.

As a second advantage, since the optimal operating control parameters are determined based on the current traffic volume within the building, there is little delay in control, and the system can quickly respond to changes in the building environment, thereby making it possible to reliably shorten waiting times.

As a third effect, by installing a target value setting device in the group management device, the operation desired by the building manager becomes possible. For example, if you want to operate with an average waiting time of 20 seconds, the optimal driving side parameters will be interpolated, and if you want to reduce energy consumption by 10%, the area priority parameters that will achieve 10% energy saving can be calculated by interpolation.・Machine performance has been significantly improved compared to conventional group management devices.

〔Effect of the invention〕

As described above, according to the group management control of the present invention, the group management control of the present invention is highly efficient in responding to the specific traffic volume of the building, and is man-machine-friendly in the sense that it realizes the service performance or economy desired by building managers. able to provide exceptional elevator service.

[Brief explanation of the drawing]

Figure 1 is an overall configuration diagram of the air elevator system, Figure 2
Figure 3 is a block diagram of the group management control device, Figure 3 is a block diagram of the unit control unit, Figure 4 is a block diagram of the SDA, Figure 5 is a diagram for explaining the overall software configuration, and Figure 6 is a diagram for explaining the overall software configuration. The figure is a table diagram of the operation control system software, Figure 7 is a table diagram of the optimum operation control parameter calculation system software,
Figure 8 is a flowchart for calculating the 111 predicted arrival time table, Figures 9 and 10 are flowcharts for long-waiting call minimization allocation calculation, Figure 11 is a practical flowchart for "Bill White Text" I, and Figure 12 is an optimal flowchart. Figure 13 is a flowchart for selecting a traffic volume whose difference from Pill Baibun Jl 'A is less than a certain reference value from among preset traffic volumes. The figure is a flowchart for interpolating and calculating the preset intersecting Ichikawa, average waiting time, long life rate, power consumption value, and j forward rotation fi control parameters. Figure 15 shows the optimal operation to achieve the set target value. Figure 16 shows how to select the control parameters and how to achieve the set target values. 1! 12 is a flowchart for calculating interpolation of control parameters. 8B1...Intra-building traffic volume and preset data
The part that calculates the optimal traffic volume, SB2...Building F
/9 The part that compares the traffic volume and the target value to determine the optimal driving fttlJ parameter. ETO/EI02 E
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Claims (1)

[Claims] 1. A pole calling device for calling a plurality of elevators in service between multiple floors, elevators provided at each floor landing, and a destination floor provided in each elevator car. a hall call device, a means for collecting the traffic volume within the pill, and a means for selecting an elevator to service a hall call according to an evaluation function having a variable operation control haramometer; In group management FLRT control that allocates a pole call to an elevator selected from -, a means for presetting traffic volume data consisting of operation control parameters corresponding to multiple types of traffic volumes; An elevator group management device characterized by comprising means for capturing data and calculating the operation sterilization parameter based on the traffic volume in the building obtained by the collection means. 2. The elevator group management device according to claim 1, wherein the means for calculating the operation control parameter selects one from the plurality of preset traffic data. 3. The elevator group management device according to claim 1, wherein the means for calculating the operation control parameters is calculated by interpolating a plurality of preset traffic volume data. 4. In claim 1, the means for calculating the driving control parameter is obtained from the intersection of at least one of the plurality of preset traffic volumes and the intra-pil traffic collection means. When the difference in traffic volume within the building is less than a predetermined reference value, the operation filling at the traffic volume within the building is selected from a plurality of preset operation control parameters.
Elevator-11 characterized in that the Son parameter is selected, and when it is less than a predetermined reference value, the calculation is performed by interpolating a plurality of preset operation control parameters.
``Management device.'' 5. In claim 1, the plurality of preset traffic volume data includes a plurality of preset traffic volumes;
The operation control parameters for the relevant traffic volume and the operation side till parameters for the hall call when group management operation is performed until the number of elevator users reaches a predetermined number of people J, or when group management operation is performed for a predetermined time. An elevator group management device comprising an average waiting time, a long service life rate, and a power consumption value required to service a pole call. 6. In claim 5, the in-building traffic f
9. An elevator group management device, wherein the means for calculating the operation restriction parameter at tK, the average waiting time, the longevity rate, and the power consumption value are selected from a plurality of preset traffic volume data. 7. In claim 5, the means for calculating the operation control parameters, average waiting time, longevity rate, and power consumption value in the building traffic meter performs interpolation calculations on a plurality of preset traffic volume data. by poetry,
Elevator group management device with a % sign of release. 8. In claim 5, the means for calculating all of the operation control parameters, average waiting time, long life rate, and power consumption values for the traffic volume in the building is configured to calculate at least seven of the plurality of preset traffic volumes. If the difference between one traffic volume and the traffic volume in the building is less than a predetermined reference value, select from among a plurality of preset operation control parameters, average waiting time, longevity rate, and power consumption value, An elevator group management device characterized in that when the value is equal to or higher than a predetermined reference value, calculation is performed by interpolating a plurality of preset operation control parameters, average waiting time, longevity rate, and power consumption value. 9. Claim 8, further comprising means for externally setting an average waiting time, a longevity rate, or a power consumption value as a target value; An elevator-flF' administrative system, characterized in that an operation control parameter that realizes the above-mentioned target value is calculated by selecting or interpolating the average waiting time, long life rate, or power consumption value and operation control parameter in 7. .