JPH07106844B2 - Elevator group management control method and device - Google Patents

Description

Description: TECHNICAL FIELD The present invention relates to elevator group management control, and in particular, to an elevator group suitable for accepting and fulfilling various user requests for elevators. The present invention relates to a management control method and device.

[Conventional technology]

In the conventional group management of elevators, the control target that is the standard for assigning calls is mainly the waiting time from when the call button is pressed in the hall until the elevator arrives at the hall, and efforts have been made to shorten this for many years. Has been done. As for the control target considering other evaluation items, as described in JP-B-62-70 and JP-B-62-71, the power consumption of the elevator is saved and the waiting passengers at the platform can be saved. There is a thing to balance with the waiting time so that the service is not deteriorated. This is an evaluation item when assigning a car to a hall call, in addition to waiting time, it adds a predicted value of power consumption to achieve both energy saving and waiting time because it aims to achieve both services for waiting passengers. It is excellent in that it can be shortened at the same time.

However, even though there are many other evaluation items such as reservation changes and the number of passengers, number of passengers, and boarding time, other evaluation items are not taken into consideration, and the balance between energy saving and waiting time is on the system side. Since it is decided by, it is not possible to reflect the opinion of the user.

Further, regarding other evaluation items, for example, Japanese Patent Publication No. 56-56709, which includes a forecast of fullness, and Japanese Patent Publication No. 62-709, which includes at least one of the out-of-forecast probability and the fullness probability, are added to the evaluation items. -47787 is available, but it is difficult to incorporate the user's wishes when balancing the waiting time.

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

Incidentally, although it is not a means for inputting control targets and sensibilities and other information, JP-A-59-48364 discloses a method for inputting information such as event reservations and centralized services to elevator group management. is there.

[Problems to be Solved by the Invention]

The above-mentioned conventional technology is excellent in that it realizes the individual wishes of users and building managers by balancing with the waiting time, which is the main evaluation item of group management control.
No consideration has been given to the method of balancing multiple evaluation items and determining the control method that the user or building manager can be satisfied with. There was a problem that the control given to us could not be performed.

In addition, in order to incorporate user's wishes into group management, it is necessary for users and building managers to input their wishes for each evaluation item as the target value for each evaluation item and its weight or priority. However, there are restrictions on the resources available in each building, the number of elevators, the number of passengers, the speed of elevators, etc., and it takes a lot of trial and error and experience to enter the desired value that can be realized within these restrictions.
In addition, it is difficult to quantify the wishes of users and building managers in advance without contradiction. However, in the above-mentioned prior art, since there is no idea of inputting the wishes of the user or the building manager, no consideration has been given to the method of determining the wishes consistently.

An object of the present invention is to solve such a problem, to answer various requests of users and building managers, and to assist the users and building managers to input appropriate request, and a group management control method for elevators. To provide a device.

[Means for Solving the Problems]

The present invention is characterized mainly in that a method such as an AHP (Analytical Hierarchy Process) is used to weight or prioritize various requests input by the user and to put them into group management control.

In particular, those that input the sensitivity to elevator operation,
Sensitivity to multiple control targets (at least hall wait time, multiplication time, reservation change rate, transportation capacity, number of passengers, long waiting rate, reservation notification time, car call first arrival rate, number of car passes, number of full passes, information guidance amount , Noise level, energy saving,
AHP is used to weight or prioritize each item based on the number of elevator starts, two or more of schedule operation) or the one directly inputting the control target.
Is used, and further, the concept of weight of items is introduced without using AHP to determine weighting or priority.

In addition, as means for achieving the above object,
In addition, means for inputting preferences and values of users and building managers for determining control targets of a plurality of elevators, preference and disagreement, and control target items and control target values based on the input sensitivities. AHP (Analytical)
Hierarchy Process) is used to weight the sensitivity of users and building managers or to calculate the priority order, and to infer the control target values and the control method for realizing the weighting or priority order. Is characterized by.

Secondly, it is more effective to make an inference using a knowledge base that stores the environment surrounding the elevator, the number of elevators, performance, etc. as knowledge in advance.

Thirdly, it is characterized in that inference is performed while interacting with users and building managers in a guidance format.

Fourthly, it is equipped with a means for obtaining the predicted achievement value of each control target and presenting it to the user in a graph or the like, and the predicted achievement value can be displayed when the work is carried out interactively with the user or the building manager. It can be presented in an easy-to-understand manner.

[Operation] First, it is necessary to obtain the control target corresponding to the inputted sensitivity by the input means. Here, the control target value is set by inputting or specifying the building application, the elevator speed, the environment surrounding the elevator and the elevator performance, and answering the questions sequentially based on the input. Reason.

This inference is based on the environment surrounding the elevator and the performance of the elevator. Based on the performance of the elevator, the inference is performed by using the knowledge in the knowledge base that stores the knowledge to convert the input sensitivity into an appropriate control target value. Derive the target value.

Next, a pair comparison is performed between the respective sensitivity requests corresponding to the respective control target values, and a pair comparison matrix is created based on the result. Next, the eigenvectors and eigenvalues of this pair comparison matrix are obtained. Each component of this eigenvector becomes a weight for each control target.

In addition, obtain the predicted achievement value of each control target by using the target value and weight of each control target derived in this way, and convert it into a graph etc. to present it to users and building managers in an easy-to-understand manner. Thus, the control method of the elevator can be interactively determined, so that it is possible to perform control that the user and the building manager and the customer are satisfied with.

〔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 sensitivity input unit 2, the environment surrounding the elevator such as the purpose of the building and the performance of the elevator, and the request of the user and the building manager for the movement of the elevator can be sensitized by question and answer. Ask them to enter it as qualitative information. Next, the sensitivity input inference unit 2 uses the input environment surrounding the elevator and the customer's sensitivity to input the sensitivity input inference unit based on the knowledge stored in the sensitivity input knowledge base 21.
22 is used to infer the target value of the control target. Further, the input / output device 1 performs pairwise comparison on items corresponding to respective control targets, inputs the results, and sends the results to the AHP calculation unit 23 in the sensitivity input unit 2. In the AHP calculation unit 23,
A pair comparison matrix is created from the pair comparison result, and the eigenvalue and eigenvector of this pair comparison matrix are calculated. The component of this eigenvector is used as the weight of each control target, and together with the target value of each control target derived by the sensitivity input inference unit 22, a customer request table 24, an example of which is shown in FIG. 7, is created. When inferring the control target value, not only the traffic flow, the environment surrounding the elevator, the number and performance of elevators, etc. are input from the input / output control device 1, but also the environment / traffic shown in FIG. 6 as an example. Data stored in advance in the flow database 34 may be used.

Next, this customer request table 24 is sent to the control method determination unit 3. In the control method determination unit 3, based on the knowledge accumulated in the control method determination knowledge base 31 (an example is shown in FIG. 8), the control method inference unit 32 determines each control target stored in the customer request table 24. Infer a control method that can achieve the target value and weight. Further, the control method inference unit 32 obtains the predicted achievement value of each control target when this control method is adopted, presents the result to the input / output device 1, and asks the customer whether or not this is acceptable.

If you are dissatisfied with the results, please repeat the above steps. If the result is acceptable, the control method and the parameters for realizing the control method are written in the decision table 41 (one example is shown in FIG. 9) in the group management control device 4. The group management control device 4 performs control according to the decision table 41, which enables group management that takes into account the customer's request. In this way, the customer's request is input as a vague and qualitative one that is sensitive and sensitive, and this is converted into the target value and weight of the quantitative control target by using inference and AHP and the method. This makes it possible to implement group management that incorporates the vague requirements of elevators without prior knowledge.

Next, a method of determining weights using AHP will be described with reference to FIG. First, as shown in FIG. 2 (a), a pair comparison table as shown in FIG. 2 (b) is created by performing pair-wise comparisons with respect to items corresponding to respective control targets. Next, a pair comparison matrix A as shown in FIG. 2C is created based on this pair comparison table. Maximum eigenvalue λ _{max of} this matrix
And the eigenvector v. Each component of this eigenvector v becomes the weight of each control target. The priority of the control target is an order when the weights of the control target are arranged in order of size.

FIG. 3 is a configuration diagram of the control method determination unit 3 in the case where the control method determination unit 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 some control methods that satisfy the customer request table 24, and the predicted achievement value of each control target when this control method is performed is calculated by the simulation experiment unit 33. The control method inference unit 32 determines which control method is preferable based on the result obtained by simulating the movement when the management is performed. The judgment result is displayed on the input / output device 1, and if it is good, it is written in the decision table 41.

When performing simulation in the simulation experiment section 33, the data stored in the environment / traffic flow database 34 is used. According to the present embodiment, since the result of simulation is used for the predicted achievement value, it is not necessary to store knowledge about this in advance, and it is possible to use elevators with different service floors, and different elevator speeds and capacity. Even in such a special case, it is possible to obtain a reliable predicted achievement value.

FIG. 4 is an example of a sensitivity input knowledge base. The value of each control target value is derived based on the input traffic demand of the customer's sensitivity and when. For example, in an office building, if the demand for a reservation change is low, the predictive predictive ratio from rule 1 and rule 2 is 90% or more, and if the demand for the number of passengers is low, then from rule 3, the congestion level in the car is 60% or less. .

FIG. 5 is an example of an AHP pair comparison input method. The cursor keys of the input / output device are used to input the relative importance of each item. According to the present embodiment, it is possible to input which is important and how important it is. is there.

FIG. 6 shows an example of the traffic flow / environmental database 34.
The environment of the building where the elevator is stored, the time, the season,
The traffic flow for each day of the week, the number of elevators, the performance, etc. are input from the input / output device 1 or stored in advance, and the sensitivity input inference unit 22 and the simulation experiment are performed when the control target value is inferred or simulated Output to the unit 33.

FIG. 7 is an example of the customer request table 24. FIG. 8 shows an example of the control method decision knowledge base, and FIG. 9 shows an example of the decision table.

FIG. 10 shows a method of inputting a paired comparison of AHP with the inclination of the balance. According to the present embodiment, the abstract concept of the weight of each control target can be expressed in correspondence with the concept of the physical weight of the balance inclination.

FIG. 11 is a radar chart showing the target value of each control target input by the sensitivity input device, and FIG. 12 is the radar chart when the predicted achievement value is superimposed on the radar chart. .

As described above, the radar chart is used for inputting the target value of each control target of the customer request table 24 in FIG. 7 and comparing the input with the predicted achievement value.

Other than the above examples, to obtain the weighting or priority by using AHP without determining the control target from the input sensitivity item, directly input the control target to weight or prioritize the AHP of each item. Requests and the like can be appropriately implemented.

〔The invention's effect〕

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

Further, according to the present invention, not only the conventional control items such as waiting time in the hall and energy saving, but also the riding time, the reservation change rate, the number of passengers and the demands of many items of customers are harmonious. A control method can be realized, and the demands of users and building managers for these control items can be entered in an easy-to-understand and sensitive form, and the prediction results can be presented to the customer. Can be realized.

[Brief description of drawings]

FIG. 1 is an overall configuration diagram of the present invention, FIG. 2 is a diagram illustrating a method for determining weights by using AHP, and FIG. 3 is an overall configuration diagram when a simulation experiment section is added. Figure is an example of Kansei input knowledge base. Figure 5 is an example of method of inputting relative importance of AHP. Figure 6 is an example of traffic flow environment database. Figure 7 is an example of customer request table. , FIG. 8 is an example of a control method decision knowledge base, FIG. 9 is an example of a decision table, FIG. 10 is an example in which pair comparison is performed with the balance tilt, and FIG. 11 is a control target. Fig. 12 is a radar chart showing the target value of Fig. 12. 1 ... I / O device, 2 ... Kansei input unit, 3 ... Control method determination unit, 4 ... Group management control device, 5 ... Unit control device,
21 …… Kansei input knowledge base, 22 …… Kansei input inference unit, 23
…… AHP calculation unit, 24 …… Customer request table, 31 …… Control method decision knowledge base, 32 …… Control method inference unit, 33 …… Simulation experiment unit, 34 …… Environment and traffic flow database, 41 …… Deciment Jiyoung table.

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Kiyoshi Nakamura 4026 Kuji Town, Hitachi City, Hitachi City, Ibaraki Prefecture Hitate Works, Ltd., Hitachi Research Institute (72) Hiromi Inaba 4026 Kuji Town, Hitachi City, Ibaraki Prefecture, Hitate Works Co., Ltd. Hitachi Research Laboratory (72) Inventor Soshiro Katsuruki, 4026 Kuji-machi, Hitachi City, Ibaraki Prefecture Hitachi, Ltd.Hitachi Research Laboratory (72) Inventor Kenji Yoneda 1070 Ige, Katsuta City, Ibaraki Hitachi Factory, Mito Factory ( 72) Inventor Takaaki Uejima 1070 Moe, Katsuta City, Ibaraki Prefecture Mito Plant, Hitachi, Ltd. (56) Reference JP-A-59-48369 (JP, A)

Claims (4)

[Claims] 1. A group management control method for controlling a plurality of elevators working between floors, wherein an environment surrounding the elevators, the performance of the elevators, and a request for the movements of the elevators are input as qualitative information such as sensitivity. , The target value of the control item is obtained by using the knowledge stored in advance in the knowledge base using the input information, and a pair comparison is performed between the items for each control target item, and the comparison result An elevator group management control method, characterized in that the eigenvector components of the pairwise comparison matrix are calculated as weighting or priority. 2. A group management control device for controlling a plurality of elevators working between floors, and a sensitivity input section for inputting a request regarding elevator operation as qualitative information of sensitivity, and a plurality of sensitivity corresponding to said sensitivity. The sensitivity input knowledge base for obtaining the control target item and the control target value of, and weighting or priority for each control target item are pair-compared between the items of each control target, and the eigenvectors of the pair comparison matrix of the comparison result are compared. Elevator group management characterized by including an AHP calculation unit for calculating components as weighting or priority, and a control method determining unit for determining an elevator control method using the control target value and the weighting or priority. Control device. 3. The elevator group management control according to claim 2, wherein the sensitivity input knowledge base is a record of the environment surrounding the elevator, the number of elevators, performance, etc. as knowledge in advance in IF, THEN format. apparatus. 4. The elevator group management control device according to claim 2, wherein the control method determination unit includes means for obtaining a predicted value of each control target and presenting it to the user.