KR960013089B1 - Elevator group control method - Google Patents

Abstract

The method is designed to group control of elevators for optimizing distributed allocation of elevators to users considering the distribution of future platform call signal. The method includes the steps of : operating an expected arrival time; operating an call period location; detecting expected in/out passengers number by floor and direction; calculating call period distribution adequacy; and allocating call period to new platform call.

Description

Military management control method of elevator

1 is a block diagram of a military management system of a general elevator.

Figure 2 is a schematic diagram of an elevator to which the military management control method of the present invention is applied.

3 is a signal processing system diagram schematically showing a processing procedure for the group management control method of the present invention.

4 is a signal processing system diagram schematically showing a process of data storage and statistical processing in FIG.

5 is a diagram illustrating division of a building according to an elevator operation.

6 is a signal flow diagram for the calculation process of aerobic variance adequacy.

* Explanation of symbols for main parts of the drawings

20A: Military management control system 20B: Elevator control system

21: Allocation data generation unit 22: Allocation / control algorithm unit

23: data storage and statistical processing unit 24: data collection unit

25: Exhalation controller 26: Hall information transmission unit

27: elevator

The present invention relates to a military management control technology of an elevator, and in particular, intentionally distributing the elevator in operation so that passengers waiting for the elevator can be serviced quickly, in consideration of the distribution of the platform call signal to occur in the future, It relates to a military management control method of the elevator to be suitable.

The elevator military management system is a system that combines several elevators in one building to organically combine high-performance microprocessors and communication functions to select passengers who are more suitable in various situations and serve passengers who want to receive service in the hall. . That is, when a platform call is made, the location, speed, direction, door open / closed state of the elevator, the number of passengers who can ride, etc. are evaluated in various ways. As a result, the most suitable elevator is selected, and the selected elevator is Service (assignment) to the hall call.

One of the main objectives of the military management system is to reduce the waiting time for passengers, that is, the waiting time for passengers. In order to achieve this purpose, a method of allocating a new call to an elevator that can be assigned the new platform call among the several elevators by the above evaluation process is used.

However, if this assignment is continued, elevators may flock. In this case, the floors close to the elevators may receive quick service, while the other floors increase passenger waiting time. . For example, if six elevators operate in a building, four elevators operate at a close distance, and the four elevators are located at the upper floor of the building, and the driving direction of each elevator is a rising direction (△). Passengers waiting to go up in the upper part of the building may receive fast service, but the lower part of the upper part of the building and the passengers in the lower part of the building should be serviced by the other two elevators for the time being. This is likely to be longer, which is undesirable in military management systems.

FIG. 1 is a block diagram of a general elevator military management system. As shown in the drawing, the elapsed time from the time when the landing call is registered, the registration of the landing call (rising / lowering call) of each floor, and the like are deleted. A platform call registration device 11 for calculating a position, an aerobic position predictive computing device 12 for calculating a car position and a car direction after a predetermined time elapses from a current point of time, and each unit at a platform of each floor. Estimated arrival time calculation device 13 for predicting the time for each direction to arrive, and evaluating each situation of the current elevator to allocate the best car to the platform call and responding to the new platform call for the elevator whose value is minimum. Between the allocation device 14 for predicting and predicting the distance between the exhalations after a predetermined time, based on the predicted car position and the predicted car direction. Control unit 15, waiting device 16 to wait for a car on a completed floor or a specific floor in a state in which the car has completed a call, and control of a platform call button, direction lantern, etc., installed in the platform of each floor. The boarding point button control device 17 and the exhalation control device 18 for controlling the start, stop, speed, etc. of each unit, will be described as follows.

In order to prevent the waiting time from getting longer due to the concentrated operation of elevators in one place, as well as the good elevators of predicted waiting time when allocating elevators, the distance between the exhalers is maintained as follows. The assignment of elevators will be controlled.

When a platform call is newly generated in the platform call registration device 11, the predicted arrival time calculation device 13 calculates a predicted arrival time t which each unit can serve in the new platform call, and after this time, The position and the direction are obtained from the exhalation position predictive computing device 12. The distance between the exhalations is measured by using the positions of the predicted exhalations thus obtained, and the measured values are used for allocation. That is, the exhalation that the distance between them becomes smaller than a certain value becomes difficult to assign, which is expressed as follows.

ψ (k) = ω ₁ T (k) + ω ₂ D (k) (Equation 1)

Where k is exhalation

T (k): Estimated arrival time of unit k

D (k): Distance between elevators when assigned to new hall call of Unit k.

An exhalation k having the smallest value of the evaluation function ψ (k) is assigned to the new hole call. Here, the D value is a value obtained by a function that becomes larger as the distance of the call period becomes smaller than the reference value, and becomes smaller as it approaches the reference value.

By using the algorithm as described above, not only elevators for shortening the waiting time of passengers but also elevators for preventing the elevators from being driven can be improved, thereby improving overall elevator performance.

However, in such a military management system, in order to prevent the elevators from moving around, the spaces between elevators are considered in the allocation, where floors in which future callings occur only based on the current situation and the distance of the elevators. Since it does not take into account the direction, direction, and frequency at all, it is difficult to assign an elevator suitable for the future situation. In other words, there is a defect that tends to maintain a constant distance because the allocation is based only on the distance data of the waiting time and the call period regardless of how the future situation is developed.

Accordingly, an object of the present invention is to provide a group management control method of an elevator for allocating a breath in consideration of the distribution of the platform call signal to be generated in the future for effective distributed control.

The military management control method of the present invention for achieving the above object is based on the estimated time of arrival calculation process (S31) and each time the elevator calculates the predicted arrival time T (k) to the new platform call floor, and based on the current time Prediction position calculation process (S32) for predicting and calculating the exhalation position and the expiration direction after the estimated time of arrival calculated in the arrival time calculation process (S31), and the number of passengers generated by day, time zone, floor, direction On the basis of the data accumulated by statistically processing the platform call signal, etc., the prediction for each floor and direction for calculating the predicted getting on and off factors and the number of the boarding call signals to be generated during the estimated arrival time calculated in the expected time calculation process (S31). Getting off and getting-off detection process (S3), aerobic dispersion accuracy calculation process (S34) for calculating the dispersion degree D (k) when K number is assigned to the new platform call signal, and the estimated time of arrival The allocation process of obtaining the evaluation function ψ (k) using the predicted arrival time T (k) and the dispersion degree D (k) obtained in the calculation process (S31), and assigning the unit with the minimum value to the new platform call Is done.

2 is a schematic diagram of an elevator to which the military management control method of the present invention is applied, and as shown therein, a data collection unit 24 for collecting various data transmitted from the elevator control system 20B, and the collected data. Data necessary for allocation on the basis of various data collected and generated by the data storage and statistics processing unit 23 for statistically processing and updating data in real time, and the data collection unit 24 and the data storage and statistical processing unit 23. The allocation data generation unit 21 for generating the PDU and the data generated by the allocation data generation unit 21 are used to evaluate the states of the elevators, and assign the elevators determined to be most appropriate for the platform call signal. The assignment / control algorithm unit 22 for transmitting to the elevator control system 20B and the assignment control transmitted from the assignment / control algorithm unit 22 Exhalation controller 25 for driving the elevator 27 selected based on the new platform call occurs, and the position, speed, direction, number of passengers of each unit collected by the exhalation controller 25, It consists of a hall information transmitter 26 for processing the information on the door opening and closing state and the like and transmitting the information to the data collection unit 24 of the military management control system 20A. A detailed description with reference to FIGS. 3 to 6 is as follows.

First, the overall control process of the present invention will be described.

The data collection unit 24 of the military management control system 20A collects various data sent from the elevator control system 20B, and the data storage and statistical processing unit 23 statistically processes the collected data in real time and updates the data. .

Then, the allocation data generation unit 21 generates data necessary for allocation based on the various data collected and generated above. As an example, the time of each elevator required to reach the new landing hall call is generated. In addition, the allocation / control algorithm unit 22 evaluates the state of each elevator by using the data generated in this way, allocates the elevator determined to be the most appropriate to the platform call signal, and assigns this allocation information to the exhalation of the elevator control system 20B. Transfer to the controller 25.

The exhalation controller 25 receives allocation information from the allocation / control algorithm unit 22 to control stop / start of each elevator, speed and direction control, door opening and closing control, driving control of various safety devices, a machine and It controls the driving of the electric system, and operates the elevator to the place where the new landing call is generated in accordance with the allocation signal on the transmission door from the military management control system 20A, and from each of the elevator 27 Information about the position, speed, direction, number of passengers, door open / closed state, and the like are collected and transmitted to the data collection unit 24 of the military management control system 20A through the hall information transmission unit 26. The exhalation controller 25 further controls signals of various lamps of the boarding stations, and transmits the boarding point call signals to the group management control system 20A.

FIG. 3 is a signal processing system diagram schematically showing a process of a group management control method of an elevator of the present invention, and an application part thereof is an allocation data generation unit 21 in FIG. 2, and its operation will be described below.

In the estimated time of arrival calculation process (S31), the time required for each elevator to arrive at the new platform call floor is calculated, and in the predicted flight position calculation process (S32), the estimated time of arrival calculation process is performed based on the current time (S31). Prediction operation is performed on the exhalation position and the expiration direction after the estimated time of arrival calculated in.

In the process of detecting predicted getting on and off for each floor and direction (S33), the data storage and statistics processing unit 23 of FIG. 2 performs statistical processing on the number of passengers generated by day of the week, time zone, floor, and direction, and platform call signal. Based on the accumulated data, the predicted getting on and off factors and the number of landing call signals generated during the estimated arrival time T calculated in the estimated arrival time calculation process S31 are calculated.

In the aerobic variance adequacy calculation process (S34), the aerobic variance adequacy, which is the determination criterion of the allocation / control algorithm unit 22, is calculated. Is a value. The calculation process of the expiration aerobic adequacy is shown in FIG. 6, which is described in detail below.

In order to enhance the effect of the present invention, the accuracy of the occurrence probability of landing call is very important. Therefore, in order to increase this accuracy, it is necessary to statistically process the phenomenon of continuous passenger occurrence and to maintain optimal data similar to the actual situation. For this purpose, as shown in FIG. 4, the prediction riding factor detection means for each floor and direction is configured.

The occurrence factor of the passengers varies greatly depending on the day of the week and the time of day, and since the change is large in the same day and time of day, accurate prediction is impossible.However, the constant pattern of each situation can be found through continuous statistical processing of traffic flow by day and time. Can be.

Therefore, the present invention totally processes passenger generation data by day and time zone, and combines the past data and the collected current traffic flow data with an appropriate coupling coefficient to be used as basic data for calculating the probability of occurrence of platform call.

However, the traffic flow is learned as described above, and the probability of occurrence of platform calls in the hall on the 1st floor, the probability of occurrence of platform calls in the ascending and descending directions of the hall on the second floor, based on the current data and the historical data processed statistically, Rather than calculating the probability of occurrence of platform calls in the ascending and descending directions separately, and using them for the control, it is necessary to set the range to a larger interval and calculate the probability of probability of occurrence of platform calls for each floor. It can increase the reliability.

In other words, even if the probability of occurrence of passengers (probability of landing call) is obtained for each floor and direction, the data is not only low in reliability but also hardly expected to improve control performance. Therefore, in the present invention, as shown in FIG. 5, the section of the building is set in accordance with the direction (△, ▽) of the platform call in proportion to the number of floors, and the probability of predicting the occurrence of the predicted platform call occurring for a certain time within the section is calculated. We want to increase the reliability of prediction.

When explaining the embodiment of the present invention.

Each unit is virtually assigned to the newly generated landing site call, and the evaluation function is calculated accordingly to allocate the unit with the smallest value.

ψ (k) = ω ₁ T (k) + ω ₂ D (k) (Equation 2)

Where k is exhalation

T (k): Estimated arrival time to new landing platform call

D (k): The dispersion degree when allocated to the new platform call signal of unit k.

First, the predicted arrival time is obtained through the expected time calculation process (S31), and the expiration adequacy adequacy is determined through the expiration aerobic adequacy calculation process (S34). Obtain as

First, the predicted platform call probability Pup (i) (i-floor ascending direction), Pdown (), which will occur within the time T (k) for each floor (i) and each direction, from the step S33 for each section and direction. i) (i-layer descending direction), and based on the P _{K.UP (i)} and P _{K.down (i)} , the number of predicted landing call signals to be generated from the present time T (k) N _{K ( TOTAL)} and calculates the number N _k (x) of predicted landing hall calls for the interval x. The following equations (3) and (4A) (4B) are used to calculate the number of predicted landing call signals N _{K (TOTAL)} of the entire building and the predicted landing call number N _K (x) for the section x.

Where n = number of floors in the building

Sum of predicted landing call signals that will be generated in buildings within N _{K (TOTAL)} = T (k) hours

If section x is upward (△),

If section x is in the downward direction (▽),

Where m = lowest floor of interval x

n = top layer of interval x

The appropriate number of breaths in each section is calculated as follows.

First, the sum of the predicted landing hall calls that will be generated in the whole building within the time T (k) and the landing calls that have been allocated so far but have not been serviced (Y), the predicted landing hall calls for each section and the corresponding section. _Find the sum ratio R (x) of the number of landing site calls Y _K that occurred within and allocated and terminated.

(Eq. 5)

The value obtained by multiplying R (x) by the number of exhalations (elevators) of the building is the appropriate number of exhalations K (x) for the interval x.

K (x) = R (x) × Total number of units

The meaning of the appropriate number of breaths K (x) is the number of breaths that are present in each section or proportional to the number of landing call signals that will occur within the time T (k). In other words, if this value is small, it means that the number of elevators required for the corresponding section is small. However, this value does not mean the optimal number of elevators for a given section because it changes according to the total number of elevators in the building, but the ratio of elevators to be allocated to the corresponding section in the entire elevator.

In the flight prediction operation S32, each unit is assigned to a new platform call, and the predicted positions of the units after the predicted arrival time T are obtained. That is, when the i unit is virtually allocated to the new platform call, the time required for the i unit to arrive at the new platform call (predicted arrival time) T (i) is calculated, and for each future T (i) time. Find the position (predictive position) to be changed as the elevator runs. Then, the number J (x) of elevators present in each section x is calculated. Then, the square of the difference between the appropriate number of breaths K (x) for each section and the number of elevators J (x) that exist after T (i) time in each section x is calculated and the sum is calculated. This value is the dispersion degree D (i) for the unit i, which is expressed as shown in Equation 5 below.

Where i = each elevator

x = each interval

n = number of sections

K (x) = optimum number of sections in x

The number of elevators in the x interval after J (x) = T (i) time

D (i) = i Dispersion Suitability of Elevator

The value D (i) has a different value for each elevator. This is because the time T to reach the new platform call is different for each elevator, and if the value is different, the predicted position of each elevator is also changed.

The smaller the value D (i) means that the elevator position is properly distributed according to the occurrence of predicted landing call. If the value is larger, the elevator is not distributed according to the predicted landing call occurrence distribution. In other words, if there are fewer elevators in a section where there are many elevators, or conversely, there are many elevators in a section where elevators should be present, or if the elevators are distributed differently from the distribution of platform call occurrences, etc. Means.

Therefore, assigning the new minimum call number to the new landing call requires that the evaluation function ψ (k) = ω ₁ T (k) + ω ₂ D (k) be distributed closest to the distribution of the predicted landing call. As a result of assigning the exhalation, it is possible to disperse the elevator by considering the predicted hall call as described above.

As described in detail above, the present invention can be distributed according to the probability distribution when the air is naturally concentrated or the occurrence calling probability is distributed near the floor having a high probability of occurrence calling based on the predicted probability of occurrence of platform call. Thus, by dispersing the elevator in consideration of the prediction hall call, it is possible to improve the operating efficiency of the elevator.

Claims (3)

Expected arrival time calculation process for each elevator to calculate the predicted arrival time T (k) to the new platform call floor, and predicted flight position and expiration direction after the estimated arrival time T (k) has elapsed based on the current time. The floor which calculates the number of predicted getting on and off and the boarding call signal to be issued during the predicted arrival time T (k) based on the calculation process of the flight position prediction, the number of passengers, the platform calling signal, etc. Calculate the dispersion degree D (k) when K is assigned to the new platform call signal by using the prediction boarding factor detection process for each direction, and the result of the exhalation position prediction calculation, the predicted boarding factor and the number of platform calling signals. Evaluate the function ψ (k) using the predicted arrival time T (k) and the variance accuracy D (k), which are obtained from the calculation process of aerobic variance accuracy, and the estimated estimated time of arrival. The military group control method of the elevator, characterized in that the assignment process for allocating the call to the new landing platform call. According to claim 1, the aerobic dispersion adequacy calculation process is calculated by dividing each section of the building and the direction of operation of the elevator to obtain the probability of occurrence of platform call, and statistical processing by classifying traffic flows such as floor, direction, etc. Military management control method of the elevator, characterized in that. The method for controlling group management of an elevator according to claim 1, wherein the evaluation function ψ (k) = ω ₁ T (k) + ω ₂ D (k) is calculated.