JPH01226679A - Group management control for elevator and device therefor - Google Patents

Abstract

PURPOSE:To carry out the control in adjustment for the demands on a number of item by inputting the sensitivity of a user for the elevator operation and calculating the weighting order or the priority order for each item by using the AHP method. CONSTITUTION:Receiving the demand for the movement of elevators by users and a building manager, as sensitivity in the question and answer course from an input/output device 1, a sensitivity input part 2 estimates an aimed control value in an estimation part 22 on the basis of the sensitivity input knowledge base 21, and performs weighting by the comparison in one to one correspondence for each item in an AHP calculation part 23, and prepares a customer demand table 24, referring to an environment and traffic state data base 34. In a control method determining part 3, a control method is estimated, and the estimation achievement value of each aimed control in the control method is obtained, and the value is represented on an input/output device 1, and if 'OK' is shown, the control method is instructed to a group management control device 4. Therefore, the control method in proper adjustment can be realized for the demands of customers on a number of items.

Description

[Detailed Description of the Invention] [Field of Industrial Application] The present invention relates to group management control of elevators, and is particularly suitable for accepting and realizing various requests of elevator users. The present invention relates to a group management control method and device for elevators.

[Conventional technology]

In conventional elevator group management, the control objective that serves as the standard for allocating calls is the waiting time from when the call button is pressed in the hall until the elevator arrives at the landing, and this has been a problem for many years. Efforts have been made to shorten it. Control objectives that take into account evaluation items other than these include saving the power consumption of elevators and reducing the amount of electricity consumed by passengers waiting at the platform, as described in Japanese Patent Publications No. 62-70 and No. 62-71. There is a need to strike a balance with waiting time so as not to degrade service. This is an evaluation item when allocating a car to a hall call, not only the waiting time but also the predicted value of power consumption, in order to achieve both energy saving and service for customers waiting at the hall. It is excellent in that it can be shortened at the same time.

However, reservation changes, number of reservations, and number of passengers.

Although there are many other evaluation items such as ride time, other evaluation items are not taken into consideration, and the balance between energy saving and waiting time is determined by the system, so it is difficult to listen to user opinions. cannot be reflected.

Furthermore, regarding other evaluation items, for example, Tokuko Shou 58-56709 is an evaluation item that includes the prediction of full occupancy, and Tokko No. 62 is an evaluation item that includes at least one of the probability that the forecast is wrong and the probability that the crowd is full. No. 47787, but it is difficult to take into account the wishes of users when balancing the waiting time.

Therefore, no consideration was given to a means for inputting the wishes of users and building managers.

Although it is not a means for inputting control objectives or sensitivities, there is Japanese Patent Application Laid-Open No. 59-48364 which shows a method for inputting information such as event reservations and centralized services to elevator group management.

[Problem to be solved by the invention]

The above-mentioned conventional technology is excellent in realizing the individual wishes of users and building managers by balancing them with waiting time, which is the main evaluation item of group management control.
No consideration is given to methods for balancing multiple evaluation items and determining a control method that satisfies users and building managers.

Another problem is that it is not possible to perform control that satisfies the overall wishes of users and building managers.

In addition, in order to perform group management that incorporates the wishes of users, it is necessary to have users and building managers input their wishes for each evaluation item as target values and their weights or priorities for each evaluation item. However, there are restrictions on the resources available in each building, the number of elevators, capacity, elevator speed, etc., and it requires a lot of trial and error and experience to enter the desired values that can be achieved within these restrictions. . Furthermore, it is difficult to quantify the wishes of users and building managers in advance without contradiction. However, in the above-mentioned conventional technology, since there is no idea of inputting the wishes of users and building managers, no consideration has been given to a method for determining the wishes without contradiction.

The purpose of the present invention is to provide an elevator that can solve such problems, respond to the various requests of users and building managers, and support the users and building managers to input reasonable requests.
An object of the present invention is to provide a group management control method and device.

[Means to solve the problem]

The present invention is based on ARP (Analytical Hie
The main feature is that the various requests input by the user are weighted or prioritized using methods such as rarchyProcess) and incorporated into group management control.

In particular, the one that inputs the sensitivity towards elevator operation,
Multiple control objectives based on sensitivity (at least, hall waiting time 9 times multiplied, reservation change rate, transportation capacity 9 number of passengers, longevity rate, reservation notification time, first-come-first-served car call rate, number of times the car passes, number of times the car passes fully, amount of information guidance, etc.) AHP is useful for weighting or prioritizing each item by calculating two or more of the following: noise level, energy saving, number of elevator starts, scheduled operation), or by directly inputting control targets.
Furthermore, it is characterized in that weighting or priority is determined by introducing concepts such as item weight without using AHP.

In addition, as means for achieving the above object, firstly, a means for inputting the preferences, values, likes and dislikes of users and building managers in order to determine control targets for a plurality of elevators; means for inferring control target items and control target values from the input sensitivity;
analytic hierarchy・Process
s) for weighting the sensibilities of users and building managers or calculating priorities, and means for inferring control methods for realizing each control target value and its weighting or priority. It is a feature.

Second, it would be more effective to make inferences using a knowledge base that is stored in advance as knowledge of the environment surrounding the elevators, the number of elevators, their performance, etc.

Third, it is characterized by making inferences while interacting with users and building managers in a guidance format.

Fourth, it is equipped with a means to determine the predicted achievement value of each control objective and present it to users in graphs, etc., so that the predicted achievement value can be displayed when proceeding with work interactively with users and building managers. Can be presented in an easy-to-understand manner.

[Effect]

First, it is necessary to obtain a control target corresponding to the input sensitivity using the input means. Here, the environment surrounding the elevator, such as the purpose of the building and the speed of the elevator, and the performance of the elevator are input or specified, and control target values are inferred by sequentially answering questions based on that input. do.

This inference is performed using knowledge in a knowledge base that stores knowledge for converting input sensibilities into appropriate control target values based on the environment surrounding the elevator and the performance of the elevator. Derive the snow control target value.

Next, in the 0th order, a pairwise comparison is made between the sensitivity requests corresponding to each control target value, and a pairwise comparison matrix is created based on the results.

Find the eigenvector and eigenvalue of this pairwise comparison matrix. Each component of this eigenvector becomes a weight for each control target.

Furthermore, using the target value and weight of each control target derived in this way, the predicted achieved value of each control target is determined, and this is converted into a graph or the like and presented to users and building managers in an easy-to-understand manner. Since the elevator control method can be determined interactively, it is possible to perform control that satisfies customers such as users and building managers.

【Example〕

An embodiment of the present invention will be described below with reference to the drawings.

FIG. 1 is an overall configuration diagram of the present invention. From the input/output device 1 to the sensibility input section 2, the environment surrounding the elevator such as the purpose of the building, the performance of the elevator, etc., as well as the demands of users and building managers regarding the movement of the elevator, are sent to the sensibility input section 2 through questions and answers. The zero-order sensibility input unit 2 receives the input as sensibility information, and uses the input environment surrounding the elevator and the customer's sensibilities to calculate sensibilities based on the knowledge stored in the sensibility input knowledge base 21. The input inference unit 22 infers the target value of the control target. Furthermore, the input/output device 1 performs pairwise comparisons with respect to items corresponding to each control target, and inputs the results.
It is sent to the AHP calculation section 23 in the sensitivity input section 2. Ah
The P calculation unit 23 creates a pairwise comparison matrix from the pairwise comparison results, and calculates the eigenvalues and eigenvectors of this pairwise comparison matrix. The components of this eigenvector are used as weights for each control objective, and a customer request table 24 is created in conjunction with the target value of each control objective previously derived by the affective input inference unit 22. When inferring control target values, information such as traffic flow, the environment surrounding the elevator, the number and performance of elevators, etc. are not only input from the input/output control device 1, but also stored in advance in the environment/traffic flow database 34. You may also use the data obtained.

Next, this customer request table 23 is created by the control method determining unit 3.
sent to. The control method determining section 3 uses the control method inference section 3 based on the knowledge stored in the control method determining knowledge base 31.
2, a control method that can achieve the customer request table 23 is deduced. Furthermore, the control method inference unit 32 calculates the predicted achievement value of each control target when this control method is adopted, presents this result to the input/output device 11, and asks the customer whether this is acceptable.

If the result is unsatisfactory, have the user repeat the above steps once again, and if the result is acceptable, write this control method and the parameters for realizing it in the decision table 41 in the group management control device 4.0 group management The control device 4 performs control according to this decision table 41, thereby making it possible to perform group management that incorporates customer requests. In this way, by asking customers to input their requests as vague and qualitative things such as sensitivity, and converting them into quantitative control objectives using methods such as inference and AHP, we are able to acquire customers' prior knowledge about elevators. It is possible to realize group management that incorporates vague requirements that do not exist.

Next, a method for determining weights using AHP will be explained using FIG. 2. First, as shown in Fig. 2(a), each control target is compared pairwise with each other to create a pairwise comparison table as shown in Fig. 2(b).Next, based on this pairwise comparison table, a pairwise comparison table is created. 2. Create a pairwise comparison matrix A as shown in Figure 2(c). The maximum eigenvalue λIIAx and eigenvector V of this matrix are determined.

Each component of this eigenvector V becomes the weight of each control target.

FIG. 3 is a block diagram of the control method determining section 3 when the control method determining section 3 is provided with a simulation experiment function 33 having a function of simulating the movement of an elevator. In this embodiment, the control method determination unit 32 determines several control methods that satisfy the customer request table 23, and the predicted achievement value of each control target when this control method is performed is determined by the simulation experiment unit 32.
The control method reasoning unit 32 determines which control method is best based on the results obtained by simulating the movement when group management is performed in step 3.The result of the 0 determination is displayed on the input/output device 1. , if you like, decision table 4
Write to 1.

When performing a simulation in the simulation experiment section 33, the environment and
According to this embodiment, which uses the data stored in the traffic flow database 34, the prediction achievement value uses the simulation results, so there is no need to store knowledge regarding this in advance, and the service floors are different. Even in special cases where there are elevators or where the speeds and capacities of individual elevators are different, reliable predicted achieved values can be obtained.

FIG. 4 is an example of a sensory input knowledge base.

The value of each control target value is derived based on the input customer's perceived traffic demand.For example, if the demand for reservation changes is low in an office building, the predicted accuracy rate is 90 based on rules 1 and 2. % or more, if the request for the number of passengers is low, the congestion degree in the car will be 60% or less according to rule 3.

FIG. 5 is an example of an input method for pairwise comparison in AHP.

The relative importance of each item is input using the cursor keys of the input/output device, and according to this embodiment,
This has the effect of allowing you to visually and easily input which items are more important.

FIG. 6 is an example of the traffic flow/environment database 34. The environment of the building in which the elevator is housed, the traffic flow at each hour, season, day of the week, etc., the number of elevators, performance, etc. are input from the input/output device l or stored in advance, and the control target value is calculated. When performing inference or simulation, it is output to the emotional input inference section 22 and the simulation experiment section 33.

FIG. 7 is an example of a customer request table. Figure 8 shows
An example of a control method determination knowledge base, FIG. 9, is an example of a decision table.

FIG. 10 shows a method of inputting a pairwise comparison of AHP using the tilt of the balance. According to this embodiment, the abstract concept of the weight of each control target is replaced with the concept of physical weight of the tilt of the balance. It can be expressed in correspondence with

FIG. 11 is a radar chart showing the target values of each control target inputted by the sensory input device, and FIG. 12 is a radar chart in which predicted achieved values are superimposed and displayed on the radar chart.

In addition to the above embodiments, weighting or priority order can be determined using AHP without determining control targets from input sensitivity items, and AHP of each item can be calculated by directly inputting control targets.
It is also possible to determine weighting or priority order as appropriate.

〔Effect of the invention〕

According to the present invention, it is possible to easily weight or prioritize each item input by the user.

Furthermore, according to the present invention, a control method that harmonizes not only conventional control items such as waiting time in the hall and energy saving but also customer requests for many items such as boarding time and reservation change rate 9 number of passengers has been realized. Moreover, the requests of users and building managers regarding these control items can be entered in an easy-to-understand format such as sensitivity, and the predicted results can be presented to customers, making it possible to realize elevator control that satisfies customers. It becomes possible.

[Brief explanation of the drawing]

Figure 1 is an overall configuration diagram of the present invention, Figure 2 is a diagram explaining the method for determining weights by AHP, Figure 3 is an overall configuration diagram when a simulation experiment section is added, and Figure 4 is an illustration of the overall configuration of the present invention. , an example of a sensory input knowledge base, FIG. 5 is an example of a method for inputting relative importance of AHP, FIG. 6 is an example of a traffic flow environment database, FIG. 7 is an example of a customer request table, FIG. 8
The figure shows an example of the control method decision knowledge base, FIG. 9 is an example of the decision table, FIG. The radar chart shown in FIG. 12 is a radar chart in which predicted achieved values are superimposed. DESCRIPTION OF SYMBOLS 1... Input/output device, 2... Sensitive input section, 3... Control method determining section, 4... Group control control device, 5... Unit control device, 21... Sensitive input knowledge Base, 22...
Sensitive input inference section, 23... AHP calculation section, 24...
Original judgment request table, 31... Control method determination knowledge base, 32... Enforcement method inference section, 33... Simulation experiment section,
34...Environment/traffic flow database, 41...Decision table. Hou 21!1 (a-9 (Shun to Usui: 3・?4 4th eye 7th eye 8th mouth 9th eye early 70 Kuniyu Tsukiri

Claims (1)

[Scope of Claims] 1. In an elevator group management control method for comprehensively managing and controlling the movement of a plurality of elevators in service between floors, a sensitivity to elevator operation is input, and each item of the sensitivity is weighted. Alternatively, an elevator group management control method, characterized in that the priority order is calculated using AHP. 2. In an elevator group management control method that centrally manages and controls the movement of multiple elevators in service between each floor, sensitivity to elevator operation is input, multiple control targets are determined from that sensitivity, and each control target is determined. 1. A group management control method for elevators, characterized in that weighting or priority for the items is calculated using AHP. 3. In an elevator group management control method that centrally manages and controls the movement of multiple elevators in service between each floor, multiple control targets are input, and weighting or priority for each control target item is determined using AHP. 1. A group management control method for an elevator, characterized in that the calculation is performed using the following method. 4. In an elevator group management control method that centrally manages and controls the movement of multiple elevators in service on each floor, multiple control targets are input, and the mass of each control target or an expression or design that suggests it, Visually express the relative weight, volume, area, or length, etc., and
A group management control method for elevators, characterized in that weighting or priority for each control target item is determined by changing relative weight, volume, area, length, etc. 5. In an elevator group management control device that centrally manages and controls the movement of multiple elevators in service between floors, a means for inputting the user's sensitivity to elevator operation and a plurality of controls corresponding to the sensitivity means for inferring target items and control target values; means for calculating weighting or priority for each control target item using AHP; and an elevator control method using the control target value and the weighting or priority. 1. A group management control method for elevators, comprising means for determining. 6. Claims 1, 2, 3, or 5, wherein the AHP performs a pairwise comparison between each item, and calculates the components of the eigenvectors of the pairwise comparison matrix as weights or priorities as a result of the comparison.
The elevator group management control method or device described above. 7. The elevator group management control method or device according to claim 1, 2 or 5, wherein the sensibility is the user's sense of value, interest, preference, or degree of likes and dislikes. 8. The elevator group management control device according to claim 5, wherein the inference means includes a knowledge base that stores knowledge of the environment surrounding the elevator, the number of elevators, performance, etc. in advance. 9. The elevator group management control system according to claim 5, wherein said inference means makes inferences based on answers to questions posed to users in the form of guidance. 10. The elevator control device according to claim 5, wherein the elevator control method determining means includes means for determining predicted achievement values for each control target and presenting them to the user.