JPH0798622B2 - Elevator group management control device - Google Patents

Description

Description: TECHNICAL FIELD The present invention relates to an elevator group management control device for performing group management of elevators that immediately responds to various changes in building traffic.

[Prior Art] In the recent group management of elevators, when a hall call by a hall button in an elevator hall occurs, a prediction calculation of the waiting time when each elevator is assigned is performed, and an elevator with a short waiting time is selected. The control method of turning on the indicator light at the landing and guiding the passengers to the waiting area has become mainstream.

Conventionally, group management of elevators calculates a certain evaluation function having attributes of various evaluation items calculated from prediction results when determining a service elevator (hereinafter referred to as an assigned car), and the evaluation function value is the maximum or minimum. I was choosing.

In addition, by learning the daily traffic volume, the method of changing the parameters of the evaluation function and the number of generated hall calls as a fuzzy quantity, and the parametric combination of several evaluation functions preset by fuzzy reasoning A method of calculating and setting a new evaluation function has been considered.

[Problems to be Solved by the Invention] By the way, the group management of elevators using the fixed evaluation function described above is not necessarily adapted to a building environment which is constantly changing.

In addition, the method of modifying the parameters of the evaluation function takes several days to generate an appropriate function, and it is possible to cope with macroscopic fluctuations that show the same tendency every day, but to avoid the randomness of passenger movements. It cannot adapt to the irregular micro-variations that result.

Furthermore, the method using the fuzzy inference is the number of hall calls that are generated as a fuzzy amount in the inference process, and finally uses a specific evaluation function. In this way, there are trade-offs in the evaluation items for passengers, and passengers are randomly generated in intra-building traffic.Therefore, there are cases in which the conventional method using an evaluation function cannot be overwhelmed, and there is a drop in service. It was the cause.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide an elevator group management control system capable of providing an efficient elevator service that immediately responds to traffic demands that change from moment to moment.

[Means for Solving Problems] A group management control device for elevators according to the present invention includes a plurality of elevators operating between floors, a hall call means provided on each floor, and means for calling an elevator, and a hall call. When a hall call is generated by the means, a plurality of cages are selected based on the prediction calculation means for predicting the estimated arrival time of each elevator to each hall and the passenger load at each hall, and the result of the prediction calculation. The fuzzy amount corresponding to the evaluation item based on the evaluation item means for calculating the evaluation item that numerically represents the service state at that time and the candidate car selection rule group in which the appropriate elevator allocation method is described in the conditional execution form in advance. And a candidate car selection means that eliminates inappropriate elevators based on the fuzzy amount, and an appropriate elevator selection method are described in advance in a conditional execution format. Based on the assigned car selection rule group, the assigned car selection means selects the assigned car from the elevators not excluded by the candidate car selection means.

[Operation] In the present invention, when a hall call is generated by the hall call means by the prediction calculation means, a predicted calculation of the arrival time at each hall of a plurality of elevators and a passenger load at each hall is performed, and the evaluation items are evaluated. Based on the result of the predictive calculation, the means calculates the evaluation item that numerically represents the service state when a plurality of cars are selected, and the candidate car selecting means preconditions an appropriate elevator allocation method. Based on the candidate car selection rules described in the execution format,
The fuzzy amount corresponding to the evaluation item is calculated, inappropriate elevators are eliminated based on the fuzzy amount, and the assigned car selection means makes it possible to assign the appropriate elevator selection method to the assigned car selection rule group in advance in the condition execution format. Based on this, the assigned car is selected from the elevators that have not been eliminated by the candidate car selection means.

[Embodiment] An embodiment of the present invention will be described in detail below with reference to the accompanying drawings.

FIG. 1 is a block diagram of an elevator group management control device according to the present invention. The elevator group management control device according to the present invention is a hall control to which an elevator control device (10) for controlling each elevator (not shown) and a hall button (13) for each hall are connected and which controls for each hall. Equipment (1
From (1), the operation control unit (1) that takes out information related to the state and issues commands related to operation, and when a hall button (13) is pressed to generate a hall call, determine an appropriate assigned car. It is composed of a call assignment control unit (2) and a county management rule base (3) which stores knowledge necessary for county management.

The call allocation control unit (2) is a prediction calculation sub-unit (4), which is a prediction calculation unit that predicts the arrival time of each car at each landing and the passenger load of each landing, and the prediction result of the prediction calculation sub-unit (4). Based on the above, the evaluation item calculation sub-unit (5), which is an evaluation item calculation means for digitizing the service state when each car is selected, corresponds to the evaluation item based on a preset candidate car selection rule group. According to the candidate car selection subunit (6), which is a candidate car selection means that calculates the fuzzy amount and eliminates inappropriate cars by this fuzzy amount, and the assigned car selection rule group based on the preset condition execution form Allocation car selection subunit (7) which is the allocation car selection means to be selected
It consists of

The county management rule base (3) is composed of a candidate car selection rule group (8) and an assigned car selection rule group (9).

Next, the operation of the elevator group supervisory control device according to the present invention will be described with reference to the flowchart of FIG.

(1) Steps S0 to S1 When the hall button (13) is pressed at a certain hall and a hall call is generated (step S0), the operation status of each elevator and the status of each hall up to that point are controlled via the operation control unit (1). Information about the call generation status is the call allocation control unit (2)
(Step S1).

(2) Step S2 The prediction calculation subunit (4) performs prediction calculation of the estimated arrival time of each elevator at each hall and the passenger load at each hall of each elevator. Prediction calculation of estimated arrival time
The procedure is similar to that described in No. 61-197378 "Elevator group control device". That is, when a hall call is generated, the estimated arrival time from the floor where the elevator is currently located to each floor is calculated for each elevator. The passenger load prediction calculation is performed by calculating the number of passengers in the elevator. For example, if an elevator a with x passengers is scheduled to stop on the f floor, when it is predicted that y passengers will get off and z passengers will get on the f floor, the prediction of the boarding load on the f floor of the elevator a is predicted. The value is (x-y +
z). In addition, the number of people on the elevator a x
The number of people, the number y of people getting off on the f-th floor, and the number z of people getting on the f-th floor are set in advance by learning traffic statistics and statistics. The prediction calculation subunit (4) performs this calculation for each elevator and each floor in the same manner as the predicted arrival time.

(3 Step S3 The evaluation item calculation sub-unit (5) is based on the prediction calculation result of the prediction calculation sub-unit (4) and is in a service state when each elevator is selected, that is, when a hall call occurs at a certain floor. , Calculate the waiting time at each floor when assigning each elevator, the forecast change probability of registered hall calls, the forecast failure probability, and the evaluation items that numerically represent the maximum value and average value of these .

(4) Step S4 The candidate car selection subunit (6) calculates the fuzzy amount corresponding to the evaluation item from the rule group stored in the group management rule base (3) using fuzzy inference. The rule group stored in the group management rule base (3) is described in the condition-execution (IF-THEN) format as shown below.

(RUEL 1) IF (1) If car 1 is assigned, it is easy to miss the forecast.

[A _i1 , b _i1 , GT] (2) ... (2) ... THEN Car 1 is excluded. (3) Here, the “condition” indicates the degree of conformity of each rule to the service state, and the degree of conformity is a subjective ambiguity that a certain amount is “large” or “small” from 0 to 1. It is expressed by the amount of phages defined by corresponding to the values up to. Specifically, it is obtained by the membership function as shown in FIG. FIG. 4 shows that [a _i1 , b _i1 , GT] is 1 (x ≧ a) 1 / b (x−a + b) (ab−x ≦ a) 0 (x <a−b) [a _i1 , b _i1 , LT] is 0 (x> a-b) -1 / b (x-a-b) (a≤x <a + b) 1 ( _x≤a ) [a _i1 , b _i1 , EQ] is 1 / b (X + a−b) (ab ≦ x ≦ a) 1 (x = a) −1 / b (x + a + b) (a ≦ x ≦ a + b).

"Execution" indicates a procedure to be executed when "condition" is satisfied.

The calculation of this fuzzy amount will be described with reference to the flowchart of FIG.

(A) Step SA1 The candidate car selection subunit (6) calculates the fuzzy amount C _ij which is the membership function value of the condition j of the rule i from the evaluation item value calculated by the evaluation item calculation subunit (5). That is, condition 1, condition 2, ..., Condition k of rule 1,
Rule 1, condition 1, condition 2, ..., Rule 1, ..., Rule m
Condition 1, condition 2, ..., Condition n are calculated. Here, the rule i is, for example, that “the forecast is easily missed when the car 1 is assigned” and is represented by [a _i1 , b _i1 , GT].

(B) Step SA2 The candidate car selection subunit (6) is rule 1 condition 1 to
The one showing the minimum fuzzy amount C _{1 (min)} among k, the one showing the minimum fuzzy amount C _{2 (min)} among the conditions _{1 to 1 of} rule 2, ..., The minimum fuzzy amount among the conditions 1 to n of rule m C _{3 (min)} and C _i = min {C _i1 , C _i2 , ...} _Are calculated.

(C) Step SA3 The candidate car selection subunit (6) is the minimum fuzzy amount C
Select the rule that takes the maximum fuzzy amount C _(max) of _{1 (min)} , C _{2 (min)} , ..., C _{m (min)} .

(D) Step SA4 The execution part of the selected rule is executed. That is, the candidate car selection sub-unit (6) excludes an elevator having a significantly poor waiting time evaluation and an elevator having a bad forecast change probability and a bad forecast probability as inappropriate. The forecast change probability and the forecast outlook probability have a psychological effect on passengers in addition to the waiting time and impair comfort. Therefore, those with high probabilities should not be selected even if the waiting time evaluation is good.

(5) Step S5 The candidate car selection sub-unit (6) selects the allocation candidate cars in descending order of the waiting time evaluation among those left out in step S4.

(6) Step S6 The assigned car selection subunit (7) selects the final assigned car from the candidate cars selected in step S5. For the final selection of the assigned car, the rules stored in the assigned car selection rule group (9) are used. The format of this rule is the same as the candidate car selection rule group. That is, if you assign car 1,
The average waiting time is a little better than when the car 2 is assigned. The selection method here is performed using the same fuzzy inference as in step S4, so description thereof will be omitted.

(7) Step S7 The call allocation control unit transmits the allocation command and the forecast command to the landing to each elevator via the operation control unit (1). These procedures are done online.

[Effects of the Invention] As described above, according to the present invention, the prediction calculation means
When a hall call is generated by the hall call means, the predicted arrival time of each elevator to each hall and the passenger load at each hall are calculated, and the evaluation item means calculates multiple cars based on the result of the prediction calculation. The evaluation items that numerically represent the service status when each is selected are calculated, and the evaluation items are evaluated by the candidate car selection means based on the candidate car selection rule group in which the appropriate elevator allocation method is described in the conditional execution format. Calculate the fuzzy amount corresponding to the above, eliminate inappropriate elevators based on the fuzzy amount, and use the assigned car selection means based on the assigned car selection rule group that describes in advance the appropriate elevator selection method in the condition execution format. , Since the assigned car is selected from the elevators that have not been eliminated by the candidate car selection means, it will change from moment to moment in the building. To Sakai, flexible and efficient elevator service group management control device of an elevator that can be obtained.

[Brief description of drawings]

FIG. 1 is a block diagram of an elevator group management control device according to the present invention, FIGS. 2 and 3 are flowcharts showing the operation of the elevator group management control device shown in FIG. 1, and FIG.
The figure is an illustration of the membership function. In each figure, 1 is an operation control unit, 2 is a call allocation control unit, 3 is a group management rule base, 4 is a prediction calculation subunit (prediction calculation means), 5 is an evaluation item calculation subunit (evaluation item calculation means), 6 is a candidate car selection subunit (candidate car selection means), 7 is an assigned car selection subunit (allocated car selection means), 8 is a candidate car selection rule group, 9
Is an assigned car selection rule group, and 13 is a hall button (hall call means). In the drawings, the same reference numerals indicate the same or corresponding parts.

Claims (1)

[Claims] 1. A plurality of elevators working between floors,
When the hall call means is provided on each of the floors and calls the elevator, and when the hall call means generates a hall call, the predicted arrival time of each of the plurality of elevators at each hall and the prediction calculation of the passenger load at each hall And an evaluation item means for calculating an evaluation item that numerically represents a service state when each of the plurality of cars is selected, based on the result of the prediction operation, and an appropriate elevator allocation in advance. A candidate car selection means that calculates a fuzzy amount corresponding to the evaluation item based on a candidate car selection rule group that describes the method in a conditional execution form, and eliminates inappropriate elevators based on the fuzzy amount Based on the assigned car selection rule group that describes the elevator selection method in the conditional execution format, it is not excluded by the candidate car selection means Group control device for an elevator, characterized in that a allocated car selecting means for selecting the allocated car from the elevator.