JP6104409B2 - Control parameter detection method, elevator group management simulation method, control parameter detection device, and elevator group management simulation device - Google Patents

Description

  The present invention is, for example, a control parameter detection method for detecting a control parameter set to collectively manage a plurality of cars in an elevator group management system for controlling a plurality of cars, an elevator group management simulation method including the same, and For example, the present invention relates to a control parameter detection device that detects a control parameter set to collectively manage a plurality of cars in an elevator group management system that controls a plurality of cars, and an elevator group management simulation device including the control parameter detection device.

  In the elevator group management system that manages the operation of multiple cars at once, the operation efficiency is improved by individually setting control parameters for managing the operation of multiple cars according to the traffic demand of the car. ing. Conventionally, performance evaluation of an elevator group management system has been performed by an elevator group management simulation apparatus. In the elevator group management simulation device, the operation of a plurality of cars is simulated by inputting data relating to passenger occurrence status and data relating to control parameters.

  An elevator group management simulation device that performs performance evaluation of an elevator group management system is disclosed in Patent Document 1, for example. In the elevator group management simulation apparatus of Patent Document 1, passenger generation data indicating the generation status of passengers is created from traffic data indicating the actual driving status obtained from the elevator group management system, and the passenger generation data is used as input to generate a plurality of passenger generation data. Simulate car operation. Thereby, the performance evaluation of the elevator group management system that is already in operation is performed.

JP 2011-20784 A

  However, the elevator group management simulation apparatus disclosed in Patent Document 1 requires the current set values of control parameters as input data in order to perform performance evaluation in accordance with the actual operation of an elevator group management system that is already in operation. . Therefore, in the elevator group management simulation device disclosed in Patent Document 1, the user must create and input data indicating the current set value of the control parameter in advance separately from the traffic data indicating the actual driving situation. There was a problem that much labor was required. Furthermore, when some or all of the current set values are unknown, there is a problem that simulation results based on the current actual performance cannot be obtained.

  The object of the present invention is to solve the above problems and to easily and accurately detect the current set values of control parameters in an existing elevator group management system, and an elevator group management simulation including the same. An apparatus, a control parameter detection method, and an elevator group management simulation method including the same are provided.

The control parameter detection method according to the present invention includes:
A control parameter detection method for detecting a set value for each control mode of a control parameter for collectively managing the plurality of cars in order to simulate the operation of an existing elevator group management system having a plurality of cars. ,
Storing operation history data relating to the operations of the plurality of cars;
Detecting the time when the control mode of the elevator group management system has shifted based on the operation history data;
Based on the operation history data, the setting value of the control parameter for each time period between the time point when the detected control mode shifts to the next time point is detected as the setting value in the detected control mode. And the step of performing.

  According to the control parameter detection method according to the present invention, the control mode for each time period of the group management control in the elevator group management system in operation and the current set values of the control parameters for each control mode are used for the operation of a plurality of cars. Since the detection is performed based on the history data, the set value of the control parameter can be detected easily and accurately.

It is a block diagram which shows the structure of the elevator group management simulation apparatus 1 and the elevator group management system 100 which concern on the 1st Embodiment of this invention. It is a flowchart which shows the operation simulation execution process performed by the elevator group management simulation apparatus 1 of FIG. It is a table | surface which shows an example of the passenger flow data in step S4 of FIG. It is a flowchart which shows in detail the control parameter detection process of step S2 of FIG. It is a figure which shows an example of the control mode according to time period by the group management control part 13 of FIG. It is a figure which shows an example of the setting value of the control parameter for each control mode of FIG. 5A. It is a figure which shows an example of the detection result of the control mode transition time by 10 A of control mode transition time detection parts of FIG. It is a block diagram which shows the structure of 1 A of elevator group management simulation apparatuses and elevator group management system 100 which concern on the 2nd Embodiment of this invention. It is a block diagram which shows the structure of the elevator group management simulation apparatus 1B which concerns on the 3rd Embodiment of this invention. It is a flowchart which shows the operation simulation execution process performed by the elevator group management simulation apparatus 1B of FIG. It is a block diagram which shows the structure of 1 C of elevator group management simulation apparatuses which concern on the 4th Embodiment of this invention. It is a flowchart which shows the operation simulation execution process performed by the elevator group management simulation apparatus 1C of FIG.

  Hereinafter, embodiments according to the present invention will be described with reference to the drawings. In the following embodiments, the same components are denoted by the same reference numerals, and description thereof is omitted.

First embodiment.
FIG. 1 is a block diagram showing a configuration of an elevator group management simulation apparatus 1 and an elevator group management system 100 according to the first embodiment of the present invention. In FIG. 1, an elevator group management simulation system includes an elevator group management simulation apparatus 1 for executing an operation simulation that simulates the current operation of an existing elevator group management system 100 and outputting a simulation result, and an elevator group management system. 100. The elevator group management system 100 is suspended by a drive device 21 having a motor 21a and a drive sheave 21b, and a main rope 23 hung on the drive sheave 21b, and the inside of the hoistway is driven by the drive force of the motor 21a. A car 24 that moves up and down, a counterweight 22, a scale device 26 that is mounted on the car 24 and detects a load in the car that is the weight in the car 24, and a car control device 20 that controls the operation of each car 24. And a group management control unit 13 that collectively manages the operations of the plurality of cars 24. Each car 24 is equipped with a car operation panel 25 for passengers to register destination floors or open / close doors. Further, the elevator group management system 100 controls a hall call button 30 for a passenger to call the car 24 for each floor and direction and a hall device connected to the hall call button 30 for each hall. And a control device 31. Here, the passenger registers the hall call by pressing the hall call button 30 for each floor and direction, and moves the car 24 to the registered floor (registered floor) and the registered direction (registered direction).

  In FIG. 1, the elevator group management simulation device 1 stores passenger flow data memory 15 for storing passenger flow data indicating the occurrence of passengers, such as the time at which passengers are generated, and operation history data of each car 24. Operation history data memory 14, group management control parameter detection device 10 that detects the current setting values of control parameters of group management control unit 13 based on the operation history data of each car 24, and detected control parameters A table memory 11 that is a table storage means for storing the vehicle as a lookup table for each control mode, a simulation unit 16 that executes a driving simulation based on the passenger flow data and the control parameter data stored in the lookup table, and a simulation Provided with a display unit 17 for displaying the results Composed of Te. In addition, the group management control parameter detection device 10 includes a control mode transition point detection unit 10A that detects a point in time when the control mode of the elevator group management system 100 transitions, and for each time period in which the same control mode continues, And a group management control parameter detection unit 10B that detects control parameters in the period. Specifically, the group management control parameter detection device 10 is an elevator group management simulation device 1 that simulates the operation of an elevator group management system 100 that includes a plurality of cars 24 and a car control device 20 that controls the operation of each car 24. And a set value of a control parameter for collectively managing the plurality of cars 24 is detected. In the present specification, detecting the set value of the control parameter means estimating the current set value of the control parameter.

  In FIG. 1, the car control device 20 is connected to a drive device 21 provided for each car 24 and controls the drive device 21 based on a control signal from the group management control unit 13 to register a car 24 with a hall call. Move upwards or downwards toward the registered floor (registered floor). The car control device 20 also includes car load data detected by the weighing device 26 mounted for each car 24, data indicating the position of each car 24, and data indicating the opening / closing of the doors of each car 24. The car data including the data indicating the operation of the car operation panel 25 by the passenger is generated, and the car data is transmitted to the group management control unit 13. In addition, the hall control device 31 generates hall data indicating the operation of the hall call button 30 by the passenger, and transmits the hall data to the group management control unit 13. That is, the car control device 20 is provided for each car 24, controls the operation of the car 24 in response to the passenger setting the destination floor, and further generates car data related to the operation of the car 24. It is a car control means.

  When the group management control unit 13 receives a signal indicating that there is a hall call from the hall control device 31, the group management control unit 13 assigns an optimum car 24 to the hall call in the registration floor and the registration direction, and sets the car 24 to the registration floor. Move. Specifically, the group management control unit 13 generates a control signal for controlling each car 24 based on a signal indicating that a hall call has been received from each hall control device 31 and car data from each car control device 20. It is a group management control means that controls the car 24 that is generated and outputs the control signal to the car control device 20 and moves to the registered floor. Further, the group management control unit 13 accumulates the car data from each car control device 20 and the hall data from the hall control device 31 in time series, and uses the accumulated car data and the hall data as operation history data. Output to the operation history data memory 14. Here, the operation history data memory 14 is operation history data storage means for storing operation history data.

  When the control mode transition time detection unit 10A detects all the time points when the control mode for collectively managing the plurality of cars 24 in the group management control unit 13 has shifted based on the operation history data 14 stored in the operation history data memory 14. Then, a transition point extraction completion signal is generated, and the transition point extraction completion signal is output to the group management control parameter detection unit 10B. Further, when the group management control parameter detection unit 10B receives the transition time point extraction completion signal from the control mode transition point detection unit 10A, the group management control parameter detection unit 10B at the time of each transition point based on the operation history data stored in the operation history data memory 14. The control parameters are detected, and the detected control parameters are output to the table memory 11 as a lookup table. That is, the group management control parameter detection unit 10B detects a control parameter setting value for the time period between the time point when the detected control mode is changed and the time point when the detected control mode is changed based on the operation history data. It is a detection unit.

The simulation unit 16 extracts the control parameters for each time period corresponding to the time from the look-up table based on the passenger flow data indicating the time when the passengers are generated from the passenger flow data memory 15 and extracts the control parameters. The operation simulation is executed using the control parameters, and the simulation result is output to the display unit 17. The display unit 17 displays the simulation result from the simulation unit 16 . Here, the simulation result may be, for example, an average waiting time of passengers, an index related to operation efficiency such as a ratio of passengers whose waiting time exceeds a predetermined time, or the transition of the position of each car 24 or the landing of each floor The number of passengers waiting for the arrival of the car 24 may be changed.

  The operation of the elevator group management simulation apparatus 1 according to the first embodiment configured as described above will be described below.

  FIG. 2 is a flowchart showing operation simulation execution processing executed by the elevator group management simulation apparatus 1 of FIG. In step S1 of FIG. 2, the control mode transition time detection unit 10A detects a control mode transition time that is a time when the control mode of the elevator group management system 100 changes. Next, in step S2, the group management control parameter detection unit 10B executes control parameter detection processing set in the control mode at the time of transition. Next, in step S3, the detected control parameter for each control mode is stored in the table memory 11 as a lookup table. Next, the simulation unit 16 reads the passenger flow data from the passenger flow data memory 15 (step S4), and extracts the control parameters corresponding to the time of occurrence for each passenger in the read passenger flow data from the lookup table. Then, an operation simulation is executed using the extracted control parameter (step S5), and the simulation result is displayed on the display unit 17 (step S6).

  FIG. 3 is a table showing an example of passenger flow data in step S4 of FIG. The passenger flow data indicates the time of occurrence for each passenger, that is, the time at the landing, the boarding floor, and the getting-off floor, and the simulation unit 16 generates a passenger on the simulation according to the passenger flow data to simulate the operation of the elevator group management system 100. Execute.

  FIG. 4 is a flowchart showing in detail the control parameter detection process in step S2 of FIG. Here, in the control mode for collectively managing the plurality of cars 24 of the elevator group management system 100 of FIG. 1, different control modes are set according to the time, with one day as one break, and control parameters are set for each control mode. The Therefore, the group management control parameter detecting device 10 divides the operation history data stored in the operation history data memory 14 every day, and the same control mode is used for the operation history data for each day when the control mode shifts. The control parameter setting value for each continuing time period is detected.

  FIG. 5A is a diagram illustrating an example of a control mode for each time period by the group management control unit 13 of FIG. FIG. 5B is a diagram showing an example of control parameter setting values for each control mode in FIG. 5A. In the example shown in FIG. 5A, the time period 0:00 to 8:00 is the control mode 1, the time period 8:00 to 9:00 is the control mode 2, the time period 9:00 to 12:00 is the control mode 3, and the time The control mode 4 is set for the period 12: 0 to 13:00, and the control mode 5 is set for the time period 13: 0 to 24:00. Further, in the example shown in FIG. 5B, as control parameters for each control mode, the vehicle allocation floor and the number of vehicles allocated, the number of doors open among the vehicle allocations, the service cut floor for each car 24, the departure adjustment floor and the departure adjustment time, respectively. Set. Here, the vehicle allocation floor indicates a floor where a part or all of the cars 24 that do not have passengers in the car and are not assigned to the hall call are automatically dispatched. There may be a plurality of vehicle allocation floors. The number of dispatched vehicles indicates the number of cars 24 to be dispatched to each dispatched floor. The number of doors opened among the number of vehicles dispatched indicates the number of vehicles automatically opened among the number of vehicles dispatched. The service cut floor indicates a floor where the car 24 is not stopped. Passengers cannot register a hall call on the service cut floor and cannot register a service cut floor as a destination floor. Furthermore, the departure adjustment is to invalidate the door closing operation by the car operation panel for a predetermined time after the car 24 arrives at the floor. Furthermore, the departure adjustment floor indicates a floor where departure adjustment is performed, and the departure adjustment time indicates a time period during which the door closing operation by the car operation panel is invalidated after the car 24 arrives at the departure adjustment floor.

  In FIG. 4, in step S21, it is determined whether or not a transition time point extraction completion signal has been received from the control mode transition point detection unit 10A. When the transition time point extraction completion signal is not received in step S21, the process returns to step S21, and this determination step is continued until the transition time point extraction completion signal is received. When the transition time point extraction completion signal is received in step S21, the group management control parameter detection unit 10B detects the control parameter set for each time period during which the same control mode is continued (step S22). The detection process S2 ends.

  FIG. 6 is a diagram illustrating an example of a detection result of the control mode transition time point by the control mode transition time point detection unit 10A of FIG. For the daily operation history data, the time when the elevator group management system 100 starts is a data start time tS, and the time when the elevator group management system 100 ends is a data end time tE. In addition, the times at which the control mode transition point detection unit 10A detects the transition point are t1, t2,..., Tn (n is the number of detected transition points) in order from the earliest. A time period from time tS to time t1 is T1, a time period from time t1 to time t2 is T2,..., And a time period from time tn to time tE is Tn + 1. That is, in step S22, the set values of the control parameters in each time period of time period T1, time period T2,..., Time period Tn + 1 are detected. Here, the control parameters to be detected are, for example, the vehicle allocation floor and the number of vehicles allocated, the number of doors open among the vehicle allocation, the service cut floor for each car 24, the departure adjustment floor and the departure adjustment time. The set values of all these control parameters may be detected, or the set values of some control parameters may be detected.

  Hereinafter, the detection method at the time of transition to the control mode will be described.

  The elevator group management system 100 operates by changing the control mode for collectively managing the plurality of cars 24 so as to meet different traffic demands because the traffic demands differ from time to time. Therefore, the plurality of cars 24 can be appropriately controlled according to different traffic demands for each time zone. For example, a control mode in which control parameters are set so as to increase the number of vehicles allocated to the main floor is applied in a time zone in which there is a large traffic demand going from the main floor in the upward direction. Also, in a time zone when there is a large traffic demand going down from a certain floor, a control mode in which control parameters are set so as to increase the number of vehicles dispatched to that floor is applied. Alternatively, a control mode in which control parameters are set so as to be distributed in a time zone when traffic demand is small as a whole is applied. Here, the control mode transition time can be detected based on the history data of the car position of each car 24 included in the operation history data memory 14. Specifically, the number of stops and the stop time of the car 24 per unit time in each floor are calculated, and the time when they change more than a predetermined size on a certain floor is detected as the time when the control mode has shifted. The control mode transition time may be detected based on a plurality of data obtained by adding other data included in the operation history data memory 14 to the car position history data.

  Next, a method for detecting the set values of the control parameters in the time period Ti (i is 1, 2,..., N + 1) will be described below.

  The vehicle allocation floor and the number of vehicles allocated are detected based on the history data of each car position stored in the operation history data memory 14. For example, in the time period Ti, the transition of the number of cars 24 stopped on each floor is calculated, and if the accumulation of the time when a specific number of cars are stopped on a certain floor is longer than a predetermined time, that floor is assigned to the dispatch floor. The number of stops will be the number of vehicles dispatched.

  Further, the number of doors opened among the number of vehicles dispatched is detected based on the history data of each car position and the door opening / closing history data included in the operation history data memory 14. For example, in the situation where the cars 24 corresponding to the number of vehicles dispatched are stopped on the vehicle allocation floor during the time period Ti, the number of cars 24 that are opened is set as the number of doors opened among the number of vehicles dispatched. When there are a plurality of vehicle allocation floors, the calculation is made for each vehicle allocation floor.

  Further, the service cut floor for each car 24 is detected based on the history data of each car position included in the operation history data memory 14. For example, for each car 24, the number of stoppages by floor during the time period Ti and the number of stoppages by floor during a time period other than the time period Ti are calculated. As a result, if there is a floor where the number of stops during the time period Ti is zero and the number of stops during the time period other than the time period Ti is not zero, that floor is set as the service cut floor of the car 24.

  Furthermore, the departure adjustment floor and the departure adjustment time are detected based on the history data of each car position and the opening / closing history data of the doors included in the operation history data memory 14. For example, the time period when the door of each car 24 in each floor during the time period Ti is open is calculated, and if there is a floor having a constant length of the time period, the floor is set as the departure adjustment floor, and the time period Is the departure adjustment time.

  According to the elevator group management simulation apparatus 1 according to the present embodiment as described above, the control mode for each time period in the group management control, and the current set values of the control parameters for each control mode are used as the operation of the car 24. Since the detection is performed based on the history data, the set value of the control parameter can be detected easily and accurately.

  Moreover, according to the elevator group management simulation apparatus 1 which concerns on this Embodiment, based on the operation history data obtained from a group management system or a car control apparatus or a landing control apparatus, the elevator group management system 100 in operation Since the current set value of the control parameter is detected, the set value of the control parameter can be detected without installing an additional device in the elevator group management system 100.

  In addition, according to the elevator group management simulation apparatus 1 according to the present embodiment, the number of vehicles allocated, the number of vehicles allocated, and the number of doors open among the number of vehicles allocated, which are control parameters that greatly affect the performance (operation efficiency) of the group management control. Since the service cut floor for each car 24 and the current set values of the departure adjustment floor and the departure adjustment time can be detected, a simulation result corresponding to the actual performance of the elevator group management system 100 in operation can be obtained. Can do.

  Furthermore, according to the elevator group management simulation apparatus 1 according to the present embodiment, the current setting value of the control parameter is detected based on the operation history data of the car 24, and the group management simulation is executed with the detected setting value as an input. Therefore, it is possible to obtain a simulation result corresponding to the actual performance of the operating elevator group management system 100 without separately creating data indicating the current set value. Furthermore, even when some or all of the current set values are unknown, it is possible to obtain a simulation result that matches the actual performance of the elevator group management system 100 in operation.

  In the embodiment described above, the car data created by the car control device 20 and the hall data created by the hall control device 31 are stored in the operation history data memory 14 via the group management control unit 13. The present invention is not limited to this, and the car data and the hall data may be stored directly in the operation history data memory 14 without going through the group management control unit 13.

  Further, in the above-described embodiment, the simulation is executed based on the passenger flow data and the set value data of the control parameter. By adding data such as the number of floors and information related to the specifications of the elevator group management system 100, a more accurate simulation can be executed. In this case, it is necessary to further provide means for inputting such information in the elevator group management simulation apparatus 1.

  The elevator group management simulation apparatus 1 according to the present embodiment is assumed to be used when the existing set values of control parameters cannot be obtained directly from the group management control unit 13 with the existing elevator group management system 100. In addition, for example, it is assumed that the existing elevator group management system 100 is old and the current setting value of the control parameter is unknown, such as when the information regarding the setting value of the control parameter does not remain.

  By using the elevator group management simulation apparatus 1 according to the present embodiment, even if the current set value of the control parameter cannot be obtained directly from the group management control unit 13, it is based on the operation history data of the car 24. Since it can estimate, the performance evaluation in the present setting of the said existing elevator group management system 100 can be performed. Furthermore, by using a plurality of different passenger flow data, it is possible to perform performance evaluation in various traffic demand situations with the current setting of the existing elevator group management system 100.

  Further, in the elevator group management simulation apparatus 1 according to the present embodiment, the elevator group management system 100 has a learning function, and is configured to automatically obtain and dynamically set an optimal control parameter according to the operation history. You can also The group management control unit 13 outputs the operation history data to the operation history data memory 14 and obtains an optimal control parameter according to the operation history data. Further, the group management control unit 13 generates a control signal for controlling each car 24 based on the obtained control parameter. In the elevator group management system 100 configured as described above, since the optimum control parameter is dynamically set, the current set value of the control parameter is unknown from the outside. Even in such a case, according to the elevator group management simulation apparatus 1 according to the present embodiment, the current set value of the control parameter can be estimated, and the performance evaluation based on the estimated set value can be performed. It becomes possible. Therefore, it is possible to confirm whether or not the set value of the control parameter that is dynamically set is appropriate.

  In the present embodiment, it is assumed that the control parameters necessary for the simulation and the control parameters used in the existing elevator group management system 100 are the same, but these parameters are not necessarily the same. Is not limited. If the control parameters necessary for the simulation and the control parameters used in the existing elevator group management system 100 are different, the set values of the control parameters will also be different. It suffices if a setting value that can simulate the operation of the group management system 100 can be acquired.

Second embodiment.
Although the elevator group management simulation device 1 according to the first embodiment has been described with respect to the case where the car control device 20 creates the car data of the operation history data used in the elevator group management simulation device 1, The present invention is not limited to this, and the car data may be acquired from a measuring device such as an acceleration sensor and a laser scan sensor installed in each car 24.

  FIG. 7 is a block diagram showing configurations of the elevator group management simulation apparatus 1A and the elevator group management system 100 according to the second embodiment of the present invention. The elevator group management simulation apparatus 1A of FIG. 7 is compared with the elevator group management simulation apparatus 1 of FIG. 1, the history data of the car position from the acceleration sensor 27 installed in each car 24 instead of the operation history data memory 14. And an operation history data memory 14 </ b> A for storing the door opening / closing history data of the cage 24 and the history data of the load in the cage from the laser scan sensor 28 installed in each cage 24.

  In FIG. 7, an acceleration sensor 27 detects the acceleration of each car, calculates a change in the car position of the car 24 based on the detected acceleration, and records the change in the car position as a history of car positions. Output as data. The laser scan sensor 28 acquires the open / closed state of the door of the car 24 using a laser, and outputs the acquired open / closed state of the car 24 as door opening / closing history data. Further, the laser scan sensor 28 calculates the number of passengers in the car based on the measurement result of the number of persons existing in each car 24 by the laser, calculates the car load from the number of people riding in each car 24, The calculated car load is output as history data of the car load.

  The operation of the elevator group management simulation apparatus 1A according to the second embodiment configured as described above will be described below.

  Compared to the elevator group management simulation apparatus 1 according to the first embodiment, the elevator group management simulation apparatus 1 </ b> A according to the second embodiment includes the car position history data and the car 24 history data from the group management control unit 13. When the door opening / closing history data and the car load history data are not stored in the operation history data memory 14A, the car position history data, the door opening / closing history data, It becomes possible to store the history data of the load in the car in the operation history data memory 14A.

  According to the elevator group management simulation apparatus 1A according to the above embodiment, the same effects as those of the elevator group management simulation apparatus 1 according to the first embodiment can be obtained. Further, according to the elevator group management simulation apparatus 1A according to the above embodiment, compared to the elevator group management simulation apparatus 1 according to the first embodiment, the measurement apparatus is independent of the elevator group management simulation apparatus 1A. Since the set value of the control parameter can be detected based on the obtained operation history data, the set value of the control parameter can be detected even when the operation history data cannot be obtained from the group management control unit 13. .

  The place where the acceleration sensor 27 and the laser scan sensor 28 are installed is not limited to the above-described place. Further, other measuring devices such as an image sensor may be used.

Third embodiment.
The elevator group management simulation apparatuses 1 and 1A according to the above-described embodiments use passenger flow data created in advance from the passenger flow data memory 15 for use. On the other hand, the elevator group management simulation apparatus 1B according to the third embodiment of the present invention is characterized by creating passenger flow data based on the operation history data of each car 24.

  FIG. 8 is a block diagram showing a configuration of an elevator group management simulation apparatus 1B according to the third embodiment of the present invention. The elevator group management simulation device 1B of FIG. 8 includes a passenger flow data creation unit 18 that creates passenger flow data instead of the passenger flow data memory 15 as compared to the elevator group management simulation device 1 of FIG. Features.

  In FIG. 8, the passenger flow data creation unit 18 creates passenger flow data indicating the occurrence of passengers based on the operation history data stored in the operation history data memory 14, and the passenger flow data is stored in the simulation unit 16. Output.

  The operation of the elevator group management simulation apparatus 1B according to the third embodiment configured as described above will be described below.

  FIG. 9 is a flowchart showing operation simulation execution processing executed by the elevator group management simulation apparatus 1B of FIG. Compared with the flowchart showing the operation simulation execution process of FIG. 2 according to the first embodiment, the flowchart showing the operation simulation execution process of FIG. 9 includes step S4A instead of step S4, and steps instead of step S5. S5A is provided, and further, step S7 for creating passenger flow data is provided before step S1.

  In FIG. 9, in step S <b> 7, the passenger flow data creation unit 18 creates passenger flow data based on the operation history data from the operation history data memory 14. Here, based on the history data of each car position and the history data of the load in the car included in the operation history data 14, the generation time, the boarding floor and the getting-off floor for each passenger are estimated, and the first embodiment is concerned. Passenger flow data as shown in FIG. 3 is created. This will be briefly described below.

  First, every time a car stops on a floor, the number of passengers and the number of people getting off at that stop floor are calculated. Next, the boarding floor and the boarding floor of each passenger are calculated from the number of passengers and the number of boarding persons at each stop floor. For example, a passenger who gets on a certain floor calculates the boarding floor and the getting-off floor of each passenger under the condition that the passenger gets off at a floor ahead of the boarding floor in the traveling direction. Subsequently, the occurrence time of each passenger is calculated. For example, in the time from the time when the car 24 stopped on the floor immediately before the car 24 on which the passenger was boarded to the boarding floor to the time when the car 24 on which the passenger was boarded arrived on the floor Calculate according to the random arrival model. The method for creating passenger flow data is not limited to the above-described method.

  Next, steps S1 to S3 are the same as steps S1 to S3 in FIG. 2 according to the first embodiment. Next, the simulation unit 16 receives passenger flow data indicating the generation status of passengers from the passenger flow data creation unit 18 (step S4A), and corresponds to the time when the passengers are generated from the lookup table based on the passenger flow data. The control parameters for each time period to be extracted are extracted, the operation simulation is executed using the extracted control parameters (step S5A), and the simulation result is displayed on the display unit 17 (step S6).

  According to the elevator group management simulation apparatus 1B according to the above embodiment, the same effects as those of the elevator group management simulation apparatus 1 according to the first embodiment can be obtained. Moreover, according to the elevator group management simulation apparatus 1B according to the above embodiment, compared to the elevator group management simulation apparatus 1 according to the first embodiment, the control parameter is based on the operation history data of each car 24. Detection and passenger flow data creation can be performed, so that it is not necessary to create data indicating the current set values of control parameters and passenger flow data, and the elevator group management system 100 in operation It is possible to obtain a simulation result in accordance with the actual performance.

Fourth embodiment.
The elevator group management simulation devices 1, 1 </ b> A, and 1 </ b> B according to the above-described embodiments execute an operation simulation based on the operation history data of each car 24. On the other hand, the elevator group management simulation apparatus 1C according to the fourth embodiment of the present invention uses the operation history data of each car 24 by the elevator group management simulation apparatuses 1, 1A, 1B according to the above-described embodiments. It is characterized in that the operation simulation based on the operation simulation can be compared with the operation simulation based on an arbitrarily input control parameter.

  FIG. 10 is a block diagram showing a configuration of an elevator group management simulation apparatus 1C according to the fourth embodiment of the present invention. Compared with the elevator group management simulation apparatus 1 of FIG. 1, the elevator group management simulation apparatus 1 </ b> C includes a simulation unit 16 </ b> A instead of the simulation unit 16, and sets control parameters for the group management control of the elevator group management system 100. A control parameter input unit 19 for inputting arbitrarily is further provided.

  Compared with the simulation unit 16 according to the first embodiment, the simulation unit 16A further includes passenger flow data stored in the passenger flow data memory 15 and control parameters input from the group management control parameter input unit 19. On the basis of this, an operation simulation of the elevator group management system is executed, and each simulation result is output to the display unit 17.

  The operation of the elevator group management simulation apparatus 1C according to the fourth embodiment configured as described above will be described below.

  FIG. 11 is a flowchart showing an operation simulation execution process executed by the elevator group management simulation apparatus 1C of FIG. Compared with the flowchart showing the operation simulation execution process of FIG. 2 according to the first embodiment, the flowchart showing the operation simulation execution process of FIG. 11 includes steps S8 to S10 instead of step S6. And

  In FIG. 11, Steps S1 to S5 are the same as those in the flowchart of FIG. 2 according to the first embodiment. Next, in step S8, an arbitrary control parameter is input to the group management control parameter input unit 19. Next, in step S9, the simulation unit 16A executes an operation simulation based on the passenger flow data from the passenger flow data memory 15 and the input control parameters, and displays the result of each operation simulation on the display unit 17. (Step S10).

  According to the elevator group management simulation apparatus 1C according to the above embodiment, the same effects as those of the elevator group management simulation apparatus 1 according to the first embodiment can be obtained. Further, according to the elevator group management simulation apparatus 1C according to the above embodiment, when compared with the elevator group management simulation apparatus 1 according to the first embodiment, the control parameter is set to the current set value, Since the simulation was executed using the same passenger flow data when the setting value was different from the setting value, the actual change in performance (operation efficiency) when the control parameters were changed from the current state It becomes possible to grasp in accordance with

  Note that the control parameter input unit 19 may receive input of arbitrary set values of a plurality of control parameters, execute an operation simulation for each input setting, and output a simulation result. Also, a relative comparison result between a simulation result when the control parameter is set to the current set value and a simulation result when the input parameter is an arbitrary set value may be calculated and output.

  As described above in detail, according to the control parameter detection method according to the present invention, the control mode for each time period of the group management control in the elevator group management system in operation and the current set value of the control parameter for each control mode Is detected based on the operation history data of a plurality of cars, so that the set value of the control parameter can be easily detected with high accuracy.

  1, 1A, 1B, 1C Elevator group management simulation device, 10 group management control parameter detection device, 10A control mode transition point detection unit, 10B group management control parameter detection unit, 11 table memory, 13 group management control unit, 14, 14A Operation history data memory, 15 Passenger flow data memory, 16, 16A Simulation unit, 17 Display unit, 18 Passenger flow data creation unit, 19 Group management control parameter input unit, 20 Car control device, 21 Drive device, 21a Motor, 21b drive Sheave, 22 counterweight, 23 main rope, 24 car, 25 car operation panel, 26 scale device, 27 acceleration sensor, 28 laser scan sensor, 30 landing call button, 31 landing control device, 100 elevator group management system.

Claims (11)

A control parameter detection method for detecting a set value for each control mode of a control parameter for collectively managing the plurality of cars in order to simulate the operation of an existing elevator group management system having a plurality of cars. ,
Storing operation history data relating to the operations of the plurality of cars;
Detecting the time when the control mode of the elevator group management system has shifted based on the operation history data;
Based on the operation history data, the setting value of the control parameter for each time period between the time point when the detected control mode shifts to the next time point is detected as the setting value in the detected control mode. A control parameter detection method comprising the steps of:   2. The control parameter detection method according to claim 1, further comprising a step of acquiring the operation history data by each measuring device provided for each car. The operation history data includes the history data of the car position of each car,
3. The control parameter detection method according to claim 1, further comprising a step of detecting a vehicle allocation floor and the number of vehicles allocated among the control parameters based on the history data of the car position of each car. The operation history data further includes opening / closing history data of each car door,
4. The control according to claim 3, further comprising a step of detecting the number of doors opened among the control parameters based on the history data of the car positions of the cars and the history data of opening / closing of the doors of the cars. Parameter detection method. The operation history data includes the history data of the car position of each car,
3. The control parameter detection method according to claim 1, further comprising a step of detecting a service cut floor among the control parameters based on the car position history data of each car. The operation history data includes the history data of the car position of each car and the history data of the opening and closing of each car door,
The method includes a step of detecting a departure adjustment floor and a departure adjustment time among the control parameters based on the history data of the car position of each car and the history data of opening and closing of each car door. 3. The control parameter detection method according to 1 or 2. An elevator group management simulation method for simulating operation of the elevator group management system, comprising the control parameter detection method according to any one of claims 1 to 6,
Storing the control parameter setting values detected in the step of detecting the control parameter setting values as a lookup table for each control mode;
The elevator group management simulation method characterized by including the step which performs an operation | movement simulation based on the passenger flow data which show the generation | occurrence | production state of a passenger, and the said look-up table.   The elevator group management simulation method according to claim 7, further comprising the step of creating the passenger flow data based on the operation history data. A step of inputting an arbitrary set value of the control parameter;
The elevator group management simulation method according to claim 7 or 8, further comprising a step of executing an operation simulation based on the inputted arbitrary set value and the passenger flow data. It is provided for an elevator group management simulation device that simulates the operation of an existing elevator group management system with multiple cars, and detects the set values for each control mode of the control parameters for managing the multiple cars at once. A control parameter detecting device for
Operation history data storage means for storing operation history data relating to the operations of the plurality of cars;
Based on the operation history data, a control mode transition time point detection unit that detects a time point when the control mode of the elevator group management system has shifted,
Based on the operation history data, the setting value of the control parameter for each time period between the time point when the detected control mode shifts to the next time point is detected as the setting value in the detected control mode. A control parameter detection apparatus comprising: a control parameter detection unit that performs the control parameter detection. An elevator group management simulation device comprising the control parameter detection device according to claim 10,
Table storage means for storing a set value of the control parameter detected by the control parameter detection device as a lookup table for each control mode;
An elevator group management simulation apparatus comprising: a simulation unit that executes an operation simulation based on passenger flow data indicating a passenger generation situation and the lookup table.

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