JP2570208B2 - Elevator group management controller - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an elevator group management control device, and more particularly to a control device suitable for realizing control corresponding to a user's sensitivity.

[0002]

2. Description of the Related Art Conventionally, elevator group management and control devices monitor generated hall calls online for the purpose of improving the operation efficiency of elevators and improving the service of passengers and take into account the service status of all hall calls. Thus, a method is adopted in which the average waiting time is shortened by allocating a call to an optimal elevator. Recently, in selecting an elevator to which a hall call is to be assigned from a plurality of elevators, a variable parameter is added to an evaluation function for evaluating each elevator, and the variable parameter value is set according to traffic demand. Japanese Patent Application Laid-Open Publication No. H11-163873 discloses a method in which a parameter value that satisfies a target value set in advance is learned using the obtained result, and call allocation control is performed using the parameter according to the operating condition of the elevator. JP-A-58-52162, JP-A-58-6162
It is proposed in Japanese Patent No. 3668 and the like.

[0003]

Although the prior art described above can solve the dissatisfaction of passengers by shortening the average waiting time, it still has some problems. Specifically, long waits always occur at the same time on a specific floor, calls are assigned to distant elevators even when a standby elevator is nearby, or large luggage such as wagons Was assigned to a congested elevator despite being transported, causing various complaints, such as the elevator having to call again after departure.
It was reported to the administrator.

[0004] In order to respond to the above-mentioned complaints in a building once delivered, an elevator user such as a building owner or a manager requests a modification to the elevator manufacturer, and changes the program on the elevator manufacturer side. And had to rewrite the ROM by adding. This requires a lot of manpower and time, and cannot satisfy all the diverse requirements of passengers, passengers, building owners, managers, etc. Therefore, it is difficult to present the effect of actually operating the elevator after changing the program.

An object of the present invention is to solve the above-mentioned problem by inputting a user's request in an easy-to-understand format of sensitivity, directly inputting the request into a control system, and immediately reflecting the result in control. It is still another object of the present invention to provide an elevator group management control device capable of easily adding and deleting various required items by a user.

[0006]

The object of the present invention is to make it possible to easily set a qualitative request for a user's elevator operation as a sensitivity target by a sensitivity target input means,
A means for converting the input sensitivity target into an actual elevator control target, a control parameter and a control method to be actually used for control are obtained from these control targets, and the control execution for executing the actual group management control using this is performed. This is achieved by providing means.

More specifically, the kansei target setting means sets the kansei targets of a plurality of items and the use environment of the elevator (elevator operating conditions, traffic demand, etc.) together, and the target conversion means sets the kansei target to a predetermined kansei target. A conversion function (corresponding to a fuzzy control membership function) for each use environment of the elevator is provided for the item, and the conversion function is used to convert the item into the control target of the elevator.

Further, the control execution means includes means for selecting at least one control method candidate for achieving the control target, means for obtaining a predicted achievement value of each control target for the selected control method candidate, Means for determining a control method based on these predicted achievement values.

In addition, the result of actual control execution of each elevator is inversely converted by the target conversion means, and the result is notified by the sensitivity target setting means.

[0010]

[Effect] The input of the kansei target (ie, value, interest, preference, sensation, good or bad, etc.), which is a qualitative requirement for elevator operation, is based on elevator control using plain Japanese or laser charts. It can be easily set by non-experts, and the set kansei target is converted into a control target using a variable function obtained by a questionnaire survey or the like. By substituting control methods based on preset rules for the obtained multiple control targets that are correlated for each item, fully incorporate the needs of users and realize unique group management control for each building it can.

[0011]

DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below with reference to FIGS.

FIG. 1 shows an overall configuration of an elevator group management control device according to the present invention. The group management control device of the present invention is roughly composed of three blocks.

One is a sensibility target setting means 2 for setting the sensibility target value of the user, the operating condition of the elevator to achieve the sensibility target value, and the use environment of the elevator such as traffic demand. By providing this means, it is possible to easily change the control method, make a reservation for driving, and the like, even if one is not an expert in elevators. In this figure, the input terminal (a personal computer, a workstation, or the like) 2-1 combining a keyboard and a display is used to input a predetermined condition 2-2 such as a sensitivity target value. It is also possible to provide a dip switch or the like in the control device body 1 and change the setting conditions by turning on and off the switch. Furthermore, it is also possible to use a telephone line or to directly set the group management control device main body 1 using a recording medium such as an IC card.

The other block is a target conversion means 3 for converting a user's request (kansei target value) set by the kansei target setting means 2 into a numerical value used in an actual control system.
Using data such as building specifications, elevator specifications, and usage information of the elevator, such as usage information, which were entered when setting the kansei target value, a questionnaire survey was conducted by the user in advance for each sensibility item. A target conversion function created based on the obtained data is extracted, a target value for actual control is determined using the extracted function, and a control parameter or a control method that best achieves the control target is used. To determine. The determined control method is stored in a table classified for each condition. Note that the target conversion unit 3 may be provided outside the group management control device main unit 1 instead of inside, or may be integrated with the sensitivity target setting unit 2 as an integral unit.

The control execution means 4, which is the third block, judges the operation status of the elevator or the like based on the data from the hall call control unit 5 and the respective unit control units 6, 7, and 8, and stores the data in the table. The control method and the call assignment method are taken out and executed, and the result is transmitted to each unit. By configuring the present system in this way, a user's request can be immediately reflected in control, and the usability of the elevator is improved. In addition, by converting the actual operation result of each car into the kansei target value by the target conversion means 3 in reverse, it is also possible to notify the user how much the set target has been satisfied.

FIG. 2 is a diagram for explaining the operation of the sensitivity target setting means 2 and the target conversion means 3. Kansei target setting means 3
Kansei target value setting unit 2a, the usage environment of the elevator that must achieve the Kansei target value (for example, the usage state such as time zone and traffic volume, the property (specification) of the building where the elevator is installed, the specification of the elevator, etc. ) For setting an elevator use environment setting unit 2b. By the way, the emotion target value does not directly set the target value desired by the user with a physical quantity, but indirectly indicates a degree of psychological feeling such as strength of preference. In other words, it can be said that it is a qualitative request for the elevator operation guided by the user's sense of value, interest, taste, sensation, evil, and the like. For example, if you are not an elevator expert (designer, maintenance person, etc.)
Quantitative numerical values such as "〇 elevators with floors parallel to the floor and speeds of 〇〇 m / min should have a waiting time of about 〇〇 seconds are appropriate." It is difficult to make a request. Therefore, the present invention aims to solve the problem by introducing a qualitative target value of "want to ride an empty car" or "want to ride quickly" as a sensitivity target value.

However, even if the elevator user requests that all the input items, such as "I want to get on an empty car", "I want to get on quickly", etc., be completely satisfied, there are conflicting input items (for example, It is difficult to simultaneously satisfy the desire to "ride on an empty car" and the desire to "ride quickly" during the congested time zone in consideration of driving efficiency and the like. Therefore, it is necessary to set in advance which one of the requests is to be prioritized, and the ranking is performed (this ranking is possible because it is a matter of comparison regardless of the qualitative target value). As a method of determining the priority, a method of first setting the input order (order of inputting the sensitivity target), a second method of setting the order simultaneously when the sensitivity target value is set, and the like can be considered. It is also conceivable to assign a priority, that is, a weight, in addition to the priority, and it is more effective to use the priority and the weight (priority) together.

Further, since the kansei target value is a qualitative target value and simply represents the magnitude of the user's desire, the input kansei target value is converted to an actual control target value (control amount). ), The elevator cannot be controlled. However, in this target conversion, since the sensitivity target value alone is not uniquely determined, in accordance with the input of the sensitivity target value, the elevator use environment (elevator number and speed, elevator specifications such as capacity, hotel, Enter data on the specifications of buildings such as exclusive use of one company, department stores, mixed-use buildings, etc., seasons, time zones (or hours), floors, usage of traffic, etc.). The function or rule used for the target conversion is determined by the control target determination unit 3a in the target conversion means 3 according to the elevator utilization environment, and the control target value corresponding to the sensitivity target value is determined. Is recorded in the control target table 3b. A specific method of converting the control target will be described later.

In the sensitivity setting section 2a, "I want to get on an empty elevator", "I want to get in early" and "I want to arrive early" are sensitivity goals corresponding to the congestion degree, the waiting time, and the riding time, respectively. At least one of the degree, the waiting time, and the boarding time are factors that mutually affect the operation of the elevator.

In FIG. 2, the sensitivity target value is set by a numerical value of 1 to 5. Instead of this input method, FIG.
As shown in FIG. 4, it is also possible to make an analog setting using a mouse or the like using a radar chart.

FIG. 3 shows an example of the hotel's sensibility target, which is set in advance by a designer or the like based on the use status of the elevator. As shown in this figure, at the hotel, when using the elevators of the guests, it is preferable to use the luggage in addition to the desire not to meet with others or to get on an empty basket because there is luggage etc. There are large demands such as "I want to be notified of the arrival car correctly" because of the desire to minimize the amount of travel, and small demands such as "I want to ride quickly" and "I want to carry many people in a short time". However, at one time, an event or the like may occur, and a request to "carry many people in a short time" may occur. At this time, it is no longer possible to satisfy the required values of other items such as "I want to get on an empty car". The degree of this change varies according to the required amount and the degree of importance for each item. In FIG. 2, the degree of importance of the achievement of the request is input by ranking. However, even in a radar chart as shown in the figure, a method of ordering and a method of judging a setting order as an order of importance are also available. Conceivable.

FIG. 4 shows an example of the sensitivity target of a building occupied by one company. In the case of this diagram, in consideration of work efficiency, there is a tendency that requests for items such as "I want to notify the reserved car quickly", "I want to carry many people in a short time", and "I want to ride fast" become smaller.

By the way, it is necessary to set the specifications of the building at the time of inputting the sensitivity. When the properties of the building are shown in a radar chart, it can be seen that there is a difference in the properties for each application as shown in FIG. In FIG. 5, the solid line in FIG. 5A indicates the property of the building occupied by one company, and the dotted line in FIG. 5B indicates the property of the hotel. The difference in the property is the difference in the sensitivity target value described above. It is.

FIG. 6 shows a configuration of the control target determining unit 3a for converting the set sensitivity target value into a control target value.

As described above, when setting the kansei target value, the elevator use environment setting unit 2b sets together with the elevator use information. The elevator use information can be broadly classified into building properties (specifications) 2b1, elevator specifications 2b2, and use information 2b3. Elevator specifications and building properties do not change significantly once they are set, but the usage information 2b3 includes items that must be reset when the user sets a new request. (For example, items such as traffic volume, time zone, floor, etc. that need to satisfy new requirements). The kansei target set by the kansei target setting unit 2a (not shown in FIG. 6) and the elevator use information set by the elevator use environment setting unit 2b are transmitted to the control target setting unit 3a of the target conversion unit 3. The target conversion means 3 comprises a control target setting unit 3a (control target conversion function generation rule 3a1, conversion function database 3a2, target conversion unit 3a3) and a control target data table 3b shown in FIG. Here, the control target conversion function generation rule 3a1 is a rule that activates a conversion function selection rule set for each property of the building from the use information of the elevator, and sets the sensitivity target item recorded in advance in the conversion function database 3a2. Corresponding conversion function item S
_1, is to select a function fs ₁ ...... fs _n of S ₂ ...... in S _n.

FIG. 7 shows an example of the conversion function. This corresponds to a membership function of fuzzy control or the like. In FIG. 7, for example, for the sensibility target item “I want to ride fast”, f ₁ a (x ₁ ) or f ₁ b
The function of (x ₁ ) (where f ₁ a (x ₁ ) is a function when there is a hall information guide device and a function when f ₁ b (x ₁ ) is not) is selected. That is, in consideration of the use environment of the elevator with or without the hall information guide device, the control target conversion function generation rule 3a1 states that “there is no IF hall information guide device, and the user wants to ride faster AND THE f ₁ (x) = f ₁
The rule “b (x ₁ )” is searched, and the control target conversion function f ₁ b (x ₁ ) is selected. Similarly, a conversion function is selected for the sensibility target items of "want to get on an empty car" and "want to arrive early" in consideration of the use environment of each elevator.

In the example shown in FIG. 7, for simplicity, one item is used for determining the use environment of the elevator. However, in practice, the conversion function to be used is determined by a combination of a plurality of items.

Next, an example in which the desired sensitivity value is converted into a desired control value using the above conversion function will be described. In FIG. 7, assuming that the sensitivity target value of “I want to ride fast” is set to 4 at the time of setting the target, the conversion function is also f ₁ (x) = f ₁ b (x
Assuming _{that 1)} has been selected, the target value x ₁ of the waiting time is calculated as specifically x ₁ = 40 seconds as the control target value from the conversion function. The calculated value of 40 seconds is determined to be the maximum allowable waiting time (limit value), and is recorded in the control target table 3b shown in FIG. 2 so that the waiting time has a value of 40 seconds or less. . In addition, the control environment table 3b also records the usage environment and weights of the elevators that must achieve the control target. In this way, the qualitative and indirect sensitivity target values are converted into quantitative and direct control target values.

FIG. 8 shows an example of the control target items corresponding to the sensitivity target items. In FIG. 8, the sensitivity target and the control target are one-to-one.
However, in reality, one sensibility target affects a plurality of control targets (for example, in order to satisfy the item of wanting to ride quickly, not only the waiting time, but also the waiting time, The car call arrival rate, the amount of information guidance, etc. also have a significant effect.)

The plurality of control target values determined by the above method are transmitted to the control execution means 4 (see FIG. 1).

The control execution means 4 shown in FIG. 9 controls the control method database 4 based on the information of the control target table 3b.
f, a control method that can be realized from the plurality of control methods (for example, the minimum waiting time allocation control (Mi
n), the longest wait time minimizing assignment control (Min-Ma
x), average waiting time minimizing assignment control, floating service control, etc.) are derived using knowledge (control method selection rules) in the knowledge base 4e. If there is only one control method that can be realized, the control method is determined accordingly. Here, when some control method candidates are derived, they are sent to an elevator simulation experiment unit 4g that simulates the movement of the elevator in a software manner. The simulation experiment unit 4g extracts data such as traffic volume and elevator specifications from the previous control target table 3b, performs a simulation experiment using a plurality of selected control methods, and divides the results for each of the previous control target items. Organize and calculate the predicted achievement value for each control target. The obtained predicted achievement value is transmitted to the multi-target decision-making unit 4h, where it is compared with the previously determined control target value, and the control method with the highest degree of achievement is selected.

The comparison between the superiority and the inferiority is made, for example, by a vector f ＾ = (f ＾ ₁ , f ＾ ₂ ) in which the target value as a whole is the target value f ＾ _i (i = 1... N) of each control target as an element. .., F ＾ _n ), and the prediction achievement value as a whole is a vector f = using the prediction achievement value fi (i = 1... N) of each control target as an element.
_{(f 1, f 2 ...... f} n) and be represented by, the target value vector f ^ values weighted by the weighting omega ₁ at a distance of the predicted achievement value vector f from l _p weighted value lp (norm l _p = sigma
ω ₁ | f ₁ −f ＾ ₁ |), and the control method with the smallest distance is selected. The control method selected in this manner is stored in the control method database 4f for each piece of elevator use information.

Next, the online operation will be described.

In the control execution means 4, each unit control unit 6
And signal S ₂ from 8, signals S ₁ from the hall call control unit 5 is input to the elevator running data collection unit 4a. The elevator operation data collection unit 4a uses the input data for a short time (10
Minutes ago) elevator use information data (traffic demand data, elevator position and direction, responsible call,
Create the number of passengers in the car (passenger rate), etc). Data obtained here is transmitted as signal S ₃ to the learning system 4b. The learning system learns traffic demand, waiting time, and other data for each time zone based on this data. By using the usage information S ₃ brief created by these learned information S ₅ and data collection unit 4a, judges elevator operating conditions the control method selection section 4d. Further, in the control method selection unit 4d, as described above, the control method selection knowledge base 4e, the simulation experiment unit 4g, and the multi-target decision unit 4h determine the plurality of control target values input in advance. From the control method database 4f in which the control methods are stored, a control method suitable for the actual operating condition of the elevator is selected using a control method selection rule. The control method selection section 4d, the control method database consisting 4f etc. have been controlled method selected with the aid system signal group supervisory control system as S ₄ 4c
Sent to where the selected No. machine determines evaluates the each car by using the transmitted control method, in which the new hall call is sent to the selected Unit allocation command S _2.

In the above online operation, the learning system learns at least the traffic demand for each time zone, and the support system determines the operating condition of the elevator from the traffic demand and selects a control method suitable for the operating condition. The operation of the elevator is controlled by the group management system based on the selected control method.

FIG. 10 shows an example of a rule for selecting a control method for call assignment performed by the group management control system 4c. As shown, the rule table is composed of three parts. T
Reference numeral 11 denotes a registration rule table indicating whether a rule to be applied is defined for each direction of each floor. In the registration rule table, a rule is defined where a circle is attached. This example shows that rule 3 is registered for an ascending call on the first floor, and that rules 1 and 3 are registered for an ascending call on the third floor. Other portions marked with a circle indicate that the respective rules are registered in the same manner as described above. T12 is a rule condition table that records the condition part of each rule. As conditions, designation of a day of the week, time, traffic demand, and the like corresponding to the use information of the elevator, and control target values (waiting time, occupancy rate, call notification time, etc.) are set. These conditions are all A
If the ND condition is handled and the OR condition is handled, it is registered as another rule. Each of these data is written by a judgment condition expression. For example, the condition that the boarding rate is 30% or less is as follows: WEIGHT (K) = <SEKISAI (K) * 0.3 (1) where WEIGHT (K): the number of passengers on the K-unit SEKISAI (K): It is described as capacity.

T13 is a rule execution table in which execution units when the conditions of each rule are satisfied are recorded, in which an evaluation formula or an assigned machine number is recorded. For example, the evaluation formula for selecting the elevator that can arrive at the earliest from elevators with a capacity of 30% or less is: ω = WEIGHT (K) −SEKISAI (K) * 0.3 IFω ≦ 0 THEN VALUE (K) = WAIT ELSE VALUE (K) = MAX (2) ASIGN = K FOR MINE [VALUE (K)] (3) where VALUE (K): array of evaluation values K: variable corresponding to the unit ASIGN: assigned unit MAX : Described as the maximum value. The data actually recorded in each table is obtained by converting the above equations into binary data that can be executed by the microcomputer. A blank means that there is no condition.

FIG. 11 is a flowchart showing the operation described above. First, the use environment of the elevator is set (E10). Subsequently, a sensitivity target item corresponding to E10 is selected and a target value is set (E20). The control target conversion function generation rule is activated according to the set elevator use environment and the sensitivity target, and a conversion function is obtained (E30). However, when the control target value is uniquely determined, the control target value is determined by the generation rule. Continue to E30
The sensitivity target value is converted into the control target value using the conversion function selected in (E40). The converted control target value is recorded in the control target table (E50). From here, the work is transferred to the control execution means 4. Using the values of the control target table, control method candidates are selected using expert knowledge set in advance (G10). The selected plurality of control methods are transmitted to the simulation experiment section, and the system is simulated according to the set conditions using a system simulating the operation of the elevator in software (G20). From the operation results, a predicted achievement value for each control item is calculated (G30). The predicted achievement value of each control method is compared with the input target value by using the multi-target decision-making method, and the control method with the highest degree of target achievement is selected (G40). In addition, the control method is presented to the user,
If the user is not satisfied, the processing of sensitivity target setting E20 to G30 may be repeatedly performed to select the best control method. The selected control method is stored in the control method data table together with the elevator use information (G50). As described above, the processing from E10 to E50 and G10 to G50 can be performed in an offline manner when viewed from the control of the elevator.

Next, the elevator control execution start command L1
By 0, the operation control of the elevator is started. First, processing of a call signal of each hall, that is, hall call input processing is executed (L20). Further, a communication process for exchanging various data from each unit control system is executed (L
30). Request usage information based on these data, etc.,
The control method to be used is selected from the control method database using the obtained usage information (L40). Next, the optimum call allocation car is determined by the selected control method, and the call allocation processing is executed (L50). Based on the hall call assignment information and the estimated elevator arrival time, etc., the guidance contents of the guidance display at each landing are determined and notified (L6).
0). In addition to the above processing, processing (L70) such as output and display of various data is executed. Next, it is determined whether or not to continue the operation after the end of this series of operations (L80). If the operation is to be continued, the process of L20 is repeated again, and if the operation is to be ended, the operation ends.

Referring to FIG. 12, a schematic flow of processing of a portion visible to the user in the flow shown in FIG. 11 will be described. First, when the user turns on the switch, a screen (for example, FIGS. 3 and 4) in which the initial sensitivity goal is set is displayed (E).
0). Next, the user inputs a target value of a target to be changed on the initially set screen using a mouse or the like (E2).
0). When all change values have been input (the change end signal is transmitted), the sensitivity target is converted into a control target using a conversion function or the like (E40). Next, a candidate of a control method that can best achieve each control target is selected using the control target table and the knowledge base (G10). Since there may be one or a plurality of control method candidates selected here, it is determined whether there is only one or a plurality of control method candidates (G15). If there is only one control method, the method is immediately simulated. It is sent to the experimental section G20 '. The simulation experiment section G20 'executes a simulation using traffic flow data and the like set at the time of input of the sensitivity target. From the experimental results, a predicted achievement value of the previously set control target is obtained (G30 '). The result is inversely converted to the kansei target and displayed together with the kansei target previously set by the user (G45 ').

When only one control method is selected, the control method may be determined to be executed as described above without performing the simulation.

On the other hand, when a plurality of control methods are selected, a simulation experiment is performed for each control method (G20). As a result, the predicted target achievement value of each control target is determined for each control method. It is calculated (G30). Next, the calculated predicted target achievement value is compared with the target value, and the total achievement degree is calculated for each control method (G35). Comparing this overall achievement for each control method, the one with the largest achievement
(Or smaller one) as the optimal control method (G4
0). The predicted target achievement value of the selected control method is inversely converted to the sensitivity target value, and is displayed together with the sensitivity target value set by the user (G45). If the user determines from the display screen that the control method determined by the system is sufficient (G60), the user transmits the control method to the control method table.
(G70). If it is determined that the method is not good, the process is repeated from E20.

Next, a description will be given of a process that operates offline from input of a sensitivity target to recording of a control method in a data table based on a specific example.

First, a hotel and an elevator specification (number of vehicles, speed, service floor, etc.) are set as shown in FIG. 13 as building specifications of an elevator use environment. Floor)
Then, it is assumed that the traffic volume is normal and the check-in time zone and the like are set (FIG. 11E10).

At this time, the sensibility target items are shown in FIG.
In the case of an item, it is assumed that the value of the solid line is set in the system in advance as an initial value (of course, the user may directly set the value). It is assumed that the user has changed the setting of the sensitivity target value of “I want to ride quickly” in the figure from a value of 1 to a value of 4 using input means such as a mouse (FIG. 11E20). At the same time as this setting change, the priority of achievement is also input.
If the priority of achievement is the same as the default setting, and the priority of the item with the setting change request is low,
The feasible control method remains the same, prompting the customer to change the priority. Here, when the target value becomes larger than the initial setting value due to the setting change, the priority is set to the first, and when the target value is smaller, the priority is set to the sixth (last). .

Next, a control target conversion function generation rule is activated in order to convert the sensitivity target value of "I want to ride fast" to a control target value. An example of this rule (for hotels) is shown below.

1) Rule group of items for which one wants to ride early Rule 1 IF hotel AND check-in time THENf ₁ (x) = f ₁ h (x ₁ ) Rule 2 IF hotel AND lunch time THENf ₁ (x) = f ₁ h (x ₂ )... A target conversion function with a condition that meets the rule is selected (E30 in FIG. 11). The selected target conversion function (here, f ₁ h (x ₂ ) in FIG. 15 is selected) is sent to the target conversion means 3, where the control target is calculated.
That is, the initially set sensitivity target value was 1, so that the waiting time was set to 40 seconds or less, but the sensitivity target value was set to 4 by this setting, so that the target value was set to 25 seconds. The following is set (E40 in FIG. 11).
The control target table value previously set is changed by this target value (E50 in FIG. 11). At this time, the weight of the control target table is also changed. FIG. 16 shows the state before and after the change of the control target this time.

A candidate for a control method that satisfies these control objectives is selected using a knowledge base that has been set in advance by expert knowledge or the like (G10 in FIG. 11). An example of this selection rule is shown below.

Rule 1 IF time zone = t₁and traffic volume ≧ a and front floor THENφ = T₁ Rule 2 IF time zone = t₁and traffic volume ≧ a and general floor THENφ = T_Two  ……………… Here t₁Is time of check-in, traffic volume a person / vehicle
5 minutes, T₁, T_TwoIndicates call assignment method
doing. Here, the call assignment method T₁Is the minimum waiting time
The evaluation value is obtained by the following equation using the application method (Min).

Φ _k = T _k −α · T _Ak + α ′ · T _Bk (4) T ₁ = min (φ ₁ ,..., Φ _k ) (5) where φ _k : Hall waiting time of the Kth machine Evaluation value T _k : Time required for Unit K to arrive at the newly assigned hall call floor T _Ak : Stop call evaluation value considering the assigned hall call and car call of Unit K Evaluation value T _Bk : Load concentration evaluation according to elevator status Values α, α ': weighting factors. Next, T ₂ is the minimum waiting time minimum call allocation method (M
in-Max), which is obtained by the following equation.

Φ _k1 = T _K1 + T _p1 −α · T _Ak1 + α′T _Bk1 (6) φ _k1 : Evaluation value of the i-th floor hall call assigned to the K-th unit T _k1 : K-th unit is the i-th floor from the current time time to arrive at the T _p1: i floor hall call is joint over time from the occurrence T _Ak1: K Unit stop call evaluation value T _Bk1: load concentration evaluation value corresponding to the elevator state α, α ': weight Coefficient φ _k = max (φ _k1 ,..., Φ _k1 ) (7) T ₂ = min (φ ₁ , φ _2, ..., Φ _k ) (8) That is, the evaluation value of each hall call assigned to each car is determined (Equation (6)), the maximum evaluation value is selected (Equation (7)), and the call to the smallest evaluation value is made. Is assigned.

The sum of T _k1 and T _{p1 in} the above equation (6) is the waiting time.

In addition, rules for selecting a formulated allocation evaluation method such as an average waiting time allocation evaluation method, a waiting time distribution allocation evaluation method, an equally spaced car allocation evaluation method, and an evaluation method combining these evaluation methods are known. Be prepared on the base.

In this control method selection rule, various operation specifications are selected in addition to the call assignment method. In the example of the above-mentioned hotel, the lobby control system for returning the elevator that does not handle the call to the reference floor is also commanded. Here, as a result of the user inputting the sensitivity target value, it is assumed that the control method is derived as a control method that can realize two methods, the minimum waiting time evaluation method and the average waiting time evaluation method. In the initial setting on the system side, the initially set target value is obtained by the method of assigning the minimum wait time and the minimum call to suppress the occurrence of the long wait. However, since the minimum waiting time allocation evaluation method and the average waiting time allocation evaluation method were selected as candidates,
The selected two types of the call assignment evaluation method and the operation specifications are transmitted to the simulation experiment section, and the simulation experiment is performed (FIG. 11G2).
0). As a result, the result in the case of using the two types of allocation evaluation methods and other operation specifications is obtained. If only the assignment evaluation method is changed this time, the predicted achievement value of each control target is obtained as shown in FIG. 17 (G30 in FIG. 11).
From this result, one of the evaluation methods of the target achievement value described above
The norm l _p = Σω ₁
| _{P 1} −f ＾ ₁ | is used to determine l _p for each assignment method. This time, as a method of evaluating the target achievement value, the value of the item that satisfies the set target value is evaluated as zero, the unattained value is multiplied by each weight coefficient value, and Ask. Also, the weight coefficient ω ₁
Is the weight set when each control target is set. F ₁ -f ^ ₁ | | norm l _p = Σω ₁ by the conditions in the formula to determine the degree of achievement for each control method of Figure 17 obtained by earlier simulation. For example, the degree of achievement l _p1 for the minimum waiting time method is as follows.

L _p1 = 8 (40−30) +7 (5−3) +6 (3−3) +9
(25-25) +5 (-35 + 30) +4 (0.1-1) In the above equation, one item is a boarding rate, two items are a reservation change rate, three items are car call arrival rates, four items are hall waiting times, and five are hall waiting times. The item is the transportation capacity, and the six items are the reservation notification time. Here, the target values of the transportation capacity of the five items are 30 persons / min or more, and it is sufficient that the target values are larger than the target values, and the remaining terms are better as they are smaller than the target values. Under the above conditions, l _p1 is obtained.

L _p1 = 8 × 10 + 7 × 2 + 6 × 0 + 9 × 0 + 5 × 0 + 4
× 0 = 94. Similarly, when the average waiting time method is calculated, l _p2
= 147. As described above, in this case, the negative term is set to zero for easy understanding, but in actuality, the weighting factor ω ₁ for each evaluation item is set as a coefficient for leveling each control item, and There is also a method of evaluating a good value of the achievement rate in addition to the evaluation value.

As a result, the smaller waiting time minimum call allocation method is selected. The control target value of the selected control method is again converted back to the sensitivity target and displayed in the form of a radar chart together with the initial set value (dotted line in FIG. 14). If the user determines that this method is acceptable, the selected control method is registered and recorded in the control method data table.

The processing from E10 to G50 in FIG. 11 has been described above using specific examples. The description so far is based on the assumption that all processing is performed in the group management control device. Another embodiment is shown in FIG.

This embodiment comprises a sensitivity goal setting support system 9 and a group management control device 1. The group management control device is a multi-target decision-making unit 4 of the control execution unit 4 described above with reference to FIG.
h, the same applies to the parts excluding the simulation experiment section 4g and the knowledge base 4e. That is, the off-line operation part is taken out and integrated with the sensibility target setting means 2 and the target conversion means 3 to form a separate device.

This separate device, that is, the sensibility target setting support system 9 corresponds to the sensibility target input / output unit 2 a corresponding to the kansei target setting unit 2, the elevator use environment input setting unit 2 b, and the target conversion unit 3. Control target conversion function generation rule 3a1, conversion function database 3a2, target conversion unit 3a3, and control execution unit 4
It comprises a control method selection rule 4he combining a multi-purpose decision-making unit and a knowledge base, a simulation experiment unit 4g, and a control method database unit 4f. Here, the control method determines the control method that satisfies the plurality of input sensitivity goals and records the determined control method in the control method database in the group management control device. With this configuration, the user's request can be input in the form of sensitivity and converted to the control value completely separately from the group management control device main body. For example, a sensitivity target setting support system can be used as a hand-held personal computer (laptop). And the like, and meetings can be held with the user when the terminal is completely separated from the building where the elevator is installed.

Further, as another embodiment, when the control target value can be directly input in advance, it is possible to adopt a configuration in which the conversion unit for setting the sensitivity target value and converting to the control target is removed.

[0062]

According to the present invention, a desired control can be performed without the help of an elevator expert because the sensibility target (qualitative quantity) of the elevator user is automatically converted into the actual control target. It is possible to carry out the method. In addition, after delivery, the result of the actual operation of the elevator is also converted to the kansei target or control target value using the operation data to determine whether the control desired by the user has been executed first, and presented. It is also possible to diagnose the situation of elevator use. Further, since the control method used by the control execution means is adopted after the user is satisfied, the usability of the user is improved.

[Brief description of the drawings]

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

FIG. 2 is an explanatory diagram of operations of a sensitivity target setting unit and a target conversion unit.

FIG. 3 is a diagram showing an example of setting a sensitivity target.

FIG. 4 is a diagram showing an example of setting a sensitivity target.

FIG. 5 is a laser chart showing properties of a building.

FIG. 6 is an explanatory diagram of a control target conversion method.

FIG. 7 is a diagram showing an example of a target conversion function.

FIG. 8 is a correspondence diagram between a sensitivity target and a control target.

FIG. 9 is an explanatory diagram of the operation of the control execution means.

FIG. 10 is a diagram showing an example of a control method selection rule.

FIG. 11 is an operation flowchart of the present invention.

FIG. 12 is a flowchart of a portion visible to the user.

FIG. 13 is a diagram showing an example of setting elevator specifications.

FIG. 14 is a diagram showing an example of changing a sensitivity target setting.

FIG. 15 is a diagram showing an example of a target conversion function.

FIG. 16 is a diagram showing an example of a control target table.

FIG. 17 is a diagram showing an example of a prediction achievement value.

FIG. 18 is an overall configuration diagram of another embodiment of the present invention.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... Group management control device main body, 2 ... Kansei target setting means, 3 ...
Target conversion means, 4 ... control execution means, 5 ... Hall call control section, 6, 7, 8 ... Unit control section.

 ──────────────────────────────────────────────────続 き Continuing on the front page (72) Inventor Atsushi Fujino 4026 Kuji-cho, Hitachi City, Ibaraki Prefecture Hitachi, Ltd.Hitachi Laboratory Co., Ltd. (72) Inventor ▲ Kuzu ▼ Shoshiro Kanuki 4026 Kuji-cho, Hitachi City, Ibaraki Co., Ltd. Hitachi, Ltd.Hitachi Laboratory (72) Inventor Kotaro Hirasawa 4026, Kuji-cho, Hitachi City, Ibaraki Prefecture Hitachi, Ltd.Hitachi Laboratory (72) Inventor Sakai ▲ Yoshi ▼ 1070 Ichige, Katsuta City, Ibaraki Prefecture Hitachi, Ltd.Mito Inside the plant (72) Inventor Kenji Yoneda 1070 Ma, Katsuta-shi, Ibaraki Pref.Hitachi, Ltd.Mito Plant, Hitachi Ltd. Person Toda ▲ Yu ▼ 2 4-6 Kanda Surugadai, Chiyoda-ku, Tokyo Inside Hitachi, Ltd. (56 References JP-A-1-192682 (JP, A)

Claims (1)

(57) [Claims] An elevator group management control device for group-managing and controlling a plurality of elevators working between multi-floor floors, wherein a user selects and sets a plurality of control targets related to elevator operation; The control target includes the congestion degree of the elevator car, a control unit and a control method for determining a control parameter and a control method for group management control based on the set control target, and a control method determined by the determination unit. A group management control device for an elevator, comprising: group management control means for performing group management control by using the group management control device.