CN106061878B - Control parameter detection method and device, elevator group management emulation mode and device - Google Patents

Abstract

The control parameter detection device (10), which is provided for the elevator group management simulation device (1) for simulating the operation of the elevator group management system (100) with multiple cars (24), detects the Unified management of the current setting values of the control parameters of multiple cars (24), the control parameter detection device has: action history record data memory (14), which stores the action history related to the actions of multiple cars (24) Record data; control mode transfer time point detection part (10A), it detects the time point of the control mode transfer of elevator group management system (100) according to the action history record data; and control parameter detection part (10B), it according to action The historical record data detects the setting values of the control parameters in each time period, wherein the time period is the time period between the time point of the detected control mode transition and the time point of the next transition.

Description

Control parameter detection method and device, elevator group management simulation method and device

technical field

The present invention relates to a control parameter detection method for detecting control parameters set for unified management of a plurality of cars in, for example, an elevator group management system controlling a plurality of cars, and an elevator group management simulation method including the method , and a control parameter detection device that detects control parameters set for unified management of multiple cars in an elevator group management system that controls multiple cars, and an elevator group management simulation device with the device.

Background technique

In the elevator group management system that uniformly manages the actions of multiple cars, the control parameters for collectively managing the actions of multiple cars are independently set according to the traffic demand of the cars, thereby achieving the improvement of operating efficiency . In the past, the performance evaluation of the elevator group management system was carried out through the elevator group management simulation device. In the elevator group management simulation device, the data on the occurrence of passengers and the data on control parameters are used as inputs to simulate the operation of multiple cars.

For example, Patent Document 1 discloses an elevator group management simulation device that performs performance evaluation of an elevator group management system. In the elevator group management simulation device of Patent Document 1, based on the traffic data representing the actual operating conditions obtained from the elevator group management system, passenger generation data representing the occurrence of passengers is generated, and the passenger generation data is used as input. Simulate the operation of multiple cars. Thereby, the performance evaluation of the elevator group control system already in operation is performed.

【Prior technical literature】

【Patent Literature】

[Patent Document 1] Japanese Unexamined Patent Publication No. 2011-20784

Contents of the invention

The problem to be solved by the invention

However, the elevator group management simulation device disclosed in Patent Document 1 requires the current set values of the control parameters as input data in order to perform performance evaluation corresponding to the actual situation of the elevator group management system already in operation. Therefore, in the elevator group management simulation device disclosed in Patent Document 1, the user must generate and input data representing the current set values of the control parameters different from the traffic data representing the actual operating conditions in advance, which requires a lot of man-hours. The problem. In addition, when some or all of the current set values are not clear, there may be cases where a simulation result matching the current actual performance cannot be obtained.

The purpose of the present invention is to solve the above problems, and to provide a control parameter detection device capable of easily and accurately detecting the current set value of a control parameter in an elevator group management system, and an elevator group management simulation device equipped with the same. , and a control parameter detection method and an elevator group management simulation method including the method.

means of solving problems

The control parameter detection method of the present invention is to simulate the operation of the elevator group management system with multiple cars, and detect the current set value of the control parameters for unified management of the multiple cars. In that, the control parameter detection method includes the following steps: a step of storing action history record data related to the actions of the plurality of cars; according to the action history record data, detecting the control mode transfer of the elevator group management system The step of the time point; according to the action history record data, the step of detecting the set value of the control parameter in each time period, wherein, the time period is the detected time point of the transition of the control mode and the next transition The time period between the time points.

Invention effect

According to the control parameter detection method of the present invention, the control mode of the group management control of the group management control of the elevator group management system in operation and the current status of the respective control parameters of the control mode are detected based on the action history record data of a plurality of cars. Therefore, the set value of the control parameter can be detected easily and with high precision.

Description of drawings

Fig. 1 is a block diagram showing the configuration of an elevator group management simulation device 1 and an elevator group management system 100 according to the first embodiment of the present invention.

FIG. 2 is a flowchart showing operation simulation execution processing executed by the elevator group management simulation device 1 of FIG. 1 .

FIG. 3 is a table showing an example of passenger flow data in step S4 of FIG. 2 .

FIG. 4 is a flowchart illustrating in detail the control parameter detection process in step S2 of FIG. 2 .

FIG. 5A is a diagram illustrating an example of a time-period control pattern of the group management control unit 13 in FIG. 1 .

FIG. 5B is a diagram showing an example of setting values of control parameters for each control mode in FIG. 5A .

FIG. 6 is a diagram showing an example of a detection result of a control mode transition time point by the control mode transition time point detection unit 10A of FIG. 1 .

Fig. 7 is a block diagram showing the configurations of the elevator group management simulation device 1A and the elevator group management system 100 according to the second embodiment of the present invention.

Fig. 8 is a block diagram showing the configuration of an elevator group control simulation device 1B according to a third embodiment of the present invention.

Fig. 9 is a flowchart showing operation simulation execution processing executed by the elevator group management simulation device 1B of Fig. 8 .

Fig. 10 is a block diagram showing the configuration of an elevator group control simulation device 1C according to a fourth embodiment of the present invention.

Fig. 11 is a flowchart showing operation simulation execution processing executed by the elevator group management simulation device 1C of Fig. 10 .

Detailed ways

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In addition, in each of the following embodiments, the same components are given the same reference numerals and descriptions thereof are omitted.

first embodiment

Fig. 1 is a block diagram showing the configuration of an elevator group management simulation device 1 and an elevator group management system 100 according to the first embodiment of the present invention. In Fig. 1, the elevator group management simulation system is composed of an elevator group management simulation device 1 and an elevator group management system 100, and the elevator group management simulation device 1 is used to perform the simulation of the established elevator group management system 100 Run the simulation of the action in the state, and output the simulation result. In addition, the elevator group management system 100 is configured to have: a driving device 21 having a motor 21a and a driving sheave 21b; Hanging, lifting in the hoistway by means of the driving force of the motor 21a; weighing device 26, which is mounted on the car 24, detects the weight in the car 24, that is, the load in the car; the car control device 20, which controls The operation of each car 24; and the group management control unit 13, which collectively manages the operation of a plurality of cars 24. Furthermore, each car 24 is equipped with a car operating panel 25 for passengers to register a destination floor or to open and close a door. In addition, the elevator group management system 100 is configured such that each hall of each floor has: a hall call button 30 for passengers to call the car 24 according to each floor and direction; and a hall control device 31 for controlling and The hall equipment on each floor to which the hall call button 30 is connected. Wherein, the passenger presses the landing call button 30 for each floor and direction, thereby registering the landing call, and moving the car 24 to the registered floor (registered floor) and registered direction (registered direction).

In FIG. 1 , the elevator group management simulation device 1 is configured to have: a passenger flow data memory 15 for storing, for example, passenger flow data representing passenger generation conditions such as the time at which passengers are generated; and an operation history data memory 14 for storing It is used to store the action history record data of each car 24; the group management control parameter detection device 10, which detects the current setting value of the control parameter of the group management control part 13 according to the action history record data of each car 24; A table memory 11 as a table storage unit, which stores the detected control parameters as a look-up table for each control mode; a simulation part 16, which performs operation simulation according to the passenger flow data and the control parameter data stored in the look-up table; and The display unit 17 is used for displaying the simulation result. And, the group supervisory control parameter detection device 10 is configured to have: a control mode transition time point detection unit 10A, which detects the time point of the control mode transition of the elevator group management system 100; and a group supervisory control parameter detection unit 10B, which In each time period in which the same control pattern lasts the control parameter in that time period is detected. Specifically, the group management control parameter detection device 10 is provided for the elevator group management simulation device 1 that simulates the operation of the elevator group management system 100, and detects the control parameters used to uniformly manage multiple cars 24. fixed value, wherein the elevator group management system 100 has a plurality of cars 24 and a car control device 20 for controlling the operation of each car 24 . In addition, in this specification, the setting value of the detected control parameter refers to the current setting value of the estimated control parameter.

In FIG. 1 , the car control device 20 is connected to the drive device 21 provided for each car 24, and controls the drive device 21 according to the control signal from the group management control unit 13, so that the car 24 moves toward the registered floor call. The floor (registered floor) of the elevator moves upward or downward. Then, the car control device 20 generates car data, and transmits the car data to the group supervisory control unit 13. The car data includes the load in the car detected by the weighing device 26 mounted on each car 24. data, data indicating the position of each car 24 , data indicating the opening and closing of the doors of each car 24 , and data indicating operations performed by passengers on the car operating panel 25 . Then, 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 supervisory control unit 13 . That is, the car control device 20 is a car control unit provided for each car 24, and controls the operation of the car 24 in response to the passenger setting a destination floor, and generates information related to the operation of the car 24. car data.

When the group supervisory control unit 13 receives a signal indicating that there is a hall call from the hall control device 31, it allocates the most suitable car 24 for the hall call of the registered floor and the registered direction, and makes the car 24 24 Move to the registration floor. Specifically, the group supervisory control unit 13 is a group supervisory control unit that generates, based on a signal indicating the presence of a hall call from each hall control device 31 and car data from each car control device 20, The control signal for controlling each car 24 is output to the car control device 20 respectively, and the car 24 to move to the registration floor is controlled. Furthermore, the group supervisory 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 hall data as operation history data. , output to the action history record data memory 14. Here, the action history data memory 14 is an action history data storage unit that stores action history data.

When the control mode transition time point detection unit 10A detects the time point at which the group management control unit 13 collectively manages the control mode transition of a plurality of cars 24 based on all the operation history data stored in the operation history data memory 14, it generates Transition time point extraction completion signal, output the transition time point extraction completion signal to the group management control parameter detection unit 10B. In addition, when the group supervisory control parameter detection unit 10B receives the transition time point extraction completion signal from the control mode transition time point detection unit 10A, it detects each transition time point based on the operation history data stored in the operation history data memory 14. As for the control parameters at the point in time, the detected control parameters are output to the table memory 11 as a look-up table. That is, the group supervisory control parameter detection unit 10B is a control that detects the set value of the control parameter in the time period between the time point of the detected control mode transition and the time point of the next transition based on the operation history data. Parameter detection section.

The simulation part 16 extracts from the look-up table corresponding to the time-period-divided control parameters corresponding to the time according to the passenger flow data from the passenger flow data memory 15 indicating the time when passengers are generated, and uses the extracted control parameters to perform operation simulation , and output the simulation result to the display unit 17 . The display unit 17 displays the simulation result from the simulation unit 16 . Among them, the simulation results may be indicators related to operating efficiency, such as the average waiting time of passengers, the ratio of passengers whose waiting time exceeds a predetermined time, etc., or the change of the position of each car 24, and the number of boarding stations on each floor. Changes in the number of passengers waiting for the arrival of the car 24 .

Next, the operation of the elevator group control simulation device 1 of the first embodiment configured as described above will be described.

FIG. 2 is a flowchart showing operation simulation execution processing executed by the elevator group management simulation device 1 of FIG. 1 . In step S1 in FIG. 2 , the control mode transition timing detection unit 10A detects the control mode transition timing which is the timing when the control mode of the elevator group management system 100 is changed. Next, in step S2 , the group management control parameter detection unit 10B executes detection processing of the control parameters set in the control mode at the transition time point. Next, in step S3, the detected control parameters for each control mode are stored in the table memory 11 as a lookup table. Next, the simulation part 16 reads out the passenger flow data from the passenger flow data memory 15 (step S4), extracts respectively the control parameters corresponding to the generation time of each passenger in the passenger flow data read out from the look-up table, and uses the The extracted control parameters are subjected to operation simulation (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. 2 . Passenger flow data represent the generation time of each passenger, that is, the time when each passenger appears at the landing, the boarding floor and the landing floor. The simulation part 16 generates simulated passengers according to the passenger flow data, and executes the operation of the elevator group management system 100 simulation.

FIG. 4 is a flowchart illustrating in detail the control parameter detection process in step S2 of FIG. 2 . Among them, with regard to the control mode of unified management of multiple cars 24 of the elevator group management simulation system 100 of Fig. 1, one day is regarded as a section, different control modes are set according to time, and control parameters are set for each control mode . Therefore, the group management control parameter detection device 10 divides the action history record data stored in the action history record data memory 14 according to each day, and for each day's action history record data, detects the time point when the control mode transitions, and the same The setpoint of the control parameter in each time period that the control mode lasts.

FIG. 5A is a diagram showing an example of a control pattern in each time period of the group management control unit 13 in FIG. 1 . In addition, FIG. 5B is a diagram showing an example of setting values of control parameters for each control mode in FIG. 5A . In the example shown in FIG. 5A, control mode 1 is set for the time period 0:00 to 8:00, control mode 2 is set for the time period 8:00 to 9:00, and control mode 2 is set for the time period 9:00 to 9:00. Control mode 3 is set at 12:00, control mode 4 is set for the time period from 12:00 to 13:00, and control mode 5 is set for the time period from 13:00 to 24:00. And, in the example shown in Fig. 5 B, respectively set elevator dispatching floor and elevator dispatching number, the door opening number in elevator dispatching number, the non-service floor of each car 24, departure adjustment floor and departure adjustment time, as each control The respective control parameters of the modes. Here, the elevator dispatch floor refers to a floor to which a part or all of the cars 24 that have no passengers in the car and are not assigned a landing call are automatically dispatched to the floor. There are also cases where a plurality of elevator dispatch floors are set. The number of dispatched elevators indicates the number of cars 24 dispatched to each dispatched elevator floor. The number of door-opening elevators in dispatched elevators indicates the number of elevators in dispatched elevators that automatically open doors. In addition, an unserved floor means a floor on which the car 24 does not stop. Passengers cannot register landing calls at unserved floors, nor can they register unserved floors as destination floors. Note that the departure adjustment refers to the case where the door closing operation by the car operating panel is disabled within a predetermined time after the car 24 arrives at the floor. In addition, the departure adjustment floor refers to the floor where the departure adjustment is performed, and the departure adjustment time refers to the period of time during which the door closing operation by the car operating panel is disabled 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 time point detection unit 10A. When it is determined in step S21 that the transition time point extraction completion signal has not been received, return to step S21 and continue this determination step until the transition time point extraction completion signal is received. When it is determined in step S21 that the transition time point extraction completion signal is received, the group management control parameter detection unit 10B detects the control parameters set in each time period in which the same control mode continues (step S22), The control parameter detection process S2 ends.

FIG. 6 is a diagram showing an example of a detection result of a control mode transition time point by the control mode transition time point detection unit 10A of FIG. 1 . For the operation history data of each day, the time when the elevator group management system 100 starts is the data start time tS, and the time when the elevator group management system 100 ends is the data end time tE. And, the times at which the control mode transition time point detection unit 10A detects the transition time points are set to t1, t2, ..., tn (n represents the number of detected transition time points) in order from early to late. . Also, the time period from time tS to time t1 is T1, the time period from time t1 to time t2 is T2, . . . , and the time period from time tn to time tE is Tn+1. That is, in step S22, the setting value of the control parameter in each time period of time period T1, time period T2, ..., time period Tn+1 is detected respectively. Here, the control parameters to be detected refer to, for example, the elevator dispatch floor and the number of elevator dispatches, the number of door-opening elevators in the dispatch number, non-service floors of each car 24, departure adjustment floors and departure adjustment time, etc. The set values of all these control parameters may be detected, or the set values of some of the control parameters may be detected.

Next, the detection method of the control mode transition time point will be described.

Since the traffic demand is different for each time slot, the elevator group management system 100 operates by changing the control mode for collectively managing the plurality of cars 24 in accordance with the different traffic demand. Therefore, a plurality of cars 24 can be appropriately controlled in accordance with different traffic demands in each time zone. For example, a control pattern in which control parameters are set so as to increase the number of elevators dispatched to the main floor is applied during a time period when there is a large traffic demand from the main floor to the upward direction. In addition, in a time period when the traffic demand from a certain floor to the downward direction is large, a control pattern in which control parameters are set so as to increase the number of elevators dispatched to the floor is applied. Or, in the time period when the overall traffic demand is small, the application sets the control mode of the control parameters in the manner of dispatching elevators in a distributed manner. Here, the control mode transition time point can be detected from 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 of each floor are calculated, and the time point when the change of the number of stops and the stop time on a certain floor reaches a predetermined size or more is detected as the time when the control mode is transferred. point. In addition, the control mode transition time point may be detected based on a plurality of data obtained by adding other data included in the operation history data memory 14 to the history data of the car position.

Next, a method of detecting the set value of each control parameter in the time period Ti (i is 1, 2, . . . , n+1) will be described.

Based on the history data of each car position stored in the operation history data memory 14, the elevator dispatch floors and the number of elevator dispatches are detected. For example, calculate the transition of the number of cars 24 that stop at each floor during the time period Ti, if the cumulative value of the time that the cars of a specific number stop at a certain floor is longer than the specified time, then this floor is used as the elevator dispatch floor, This number of stops is taken as the number of dispatched elevators.

And, based on the history data of each car position and the history data of door opening and closing contained in the operation history data memory 14, the number of door-opened elevators among the number of elevators dispatched is detected. For example, the number of doors-opened cars 24 when the dispatched elevator cars 24 stop at the dispatched elevator floor during the time period Ti is defined as the door-opened number of the dispatched elevators. When there are a plurality of elevator dispatch floors, the calculation is performed for each elevator dispatch floor.

In addition, based on the history data of each car position included in the operation history data memory 14, the non-serving floors of each car 24 are detected. For example, the number of stops on each floor in the time period Ti and the number of stops on each floor in a time period other than the time period Ti are calculated for each car 24 . As a result, if there is a floor where the number of stops in the time period Ti is 0 and the number of stops in time periods other than the time period Ti is not 0, then this floor is set as the non-service floor of the car 24 .

In addition, based on the history data of each car position and the history data of door opening and closing contained in the operation history data memory 14, the departure adjustment floor and the departure adjustment time are detected. For example, calculate the time period during which the doors of each car 24 are opened on each floor in the time period Ti, if there is a floor with a fixed length of the time period, then this floor is used as the departure adjustment floor, and the length of the time period is used as the departure Adjust the time.

According to the elevator group management simulation device 1 of the present embodiment as described above, the control mode for each time period in the group management control and the current setting of the control parameter for each control mode are detected from the movement history data of the car 24. Therefore, the set value of the control parameter can be detected easily and with high precision.

In addition, according to the elevator group management simulation device 1 of the present embodiment, the elevator group management system 100 in operation is detected based on the operation history data obtained from the group management system or the car control device and/or the hall control device. The current setting value of the control parameter of the elevator group management system 100, so the setting value of the control parameter can be detected without installing an additional device to the elevator group management system 100.

In addition, according to the elevator group management simulation device 1 of the present embodiment, it is possible to detect control parameters that have a large influence on the performance (operating efficiency) of the group management control, that is, the elevator dispatch floor, the number of elevator dispatches, and the door opening among the number of elevator dispatches. The number of elevators, the non-service floors of each car 24, the departure adjustment floors and the current setting values of the departure adjustment time can obtain simulation results consistent with the actual performance of the elevator group management system 100 in operation.

In addition, according to the elevator group management simulation device 1 of this embodiment, the current setting value of the control parameter is detected according to the movement history record data of the car 24, and the group management simulation is executed by inputting the detected setting value. Even without separately generating data indicating the current set value, it is possible to obtain a simulation result matching the actual performance of the operating elevator group management system 100 . In addition, even when some or all of the current set values are unclear, it is possible to obtain a simulation result matching the actual performance of the elevator group management system 100 in operation.

In addition, in the above-mentioned embodiment, the car data generated by the car control device 20 and the hall data generated by the hall control device 31 are stored in the operation history data memory 14 through the group supervisory control section 13, However, the present invention is not limited thereto, and the car data and the hall data may be directly stored in the operation history data memory 14 without using the group management control unit 13 .

In addition, in the above-mentioned embodiment, the simulation is performed based on the passenger flow data and the set value data of the control parameters, but the present invention is not limited to this, and the number of cars 24 and the number of stops of the cars 24 may be added to these data. By collecting data such as the number of floors and information related to the specifications of the elevator group management system 100, high-precision simulation can be performed. In this case, it is also necessary to provide means for inputting these information in the elevator group management simulation device 1 .

The elevator group management simulation device 1 of the present embodiment is assumed to be used when the current set value of the control parameter cannot be directly obtained from the group management control unit 13 in the existing elevator group management system 100 . In addition, it is assumed to be used when the current set value of the control parameter is unclear, for example, when the existing elevator group management system 100 is relatively old and there is no information about the set value of the control parameter.

By using the elevator group management simulation device 1 of this embodiment, even when the current set value of the control parameter cannot be directly obtained from the group management control unit 13, it can be estimated based on the movement history data of the car 24, so The performance evaluation under the current setting of the established elevator group management system 100 can be performed. In addition, by using a plurality of different passenger flow data, it is possible to perform performance evaluation of various traffic demand conditions under the current setting of the established elevator group management system 100 .

In addition, the elevator group management simulation device 1 of the present embodiment can also be configured such that the elevator group management system 100 has a learning function, automatically finds the optimal control parameters from the operation history, and dynamically sets them. The group management control unit 13 outputs the operation history data to the operation history data memory 14, and obtains the optimum control parameters according to the operation history data. In addition, the group supervisory control unit 13 generates a control signal for controlling each car 24 based on the obtained control parameter. Since optimal control parameters are dynamically set in the elevator group management system 100 configured in this way, the current set values of the control parameters cannot be known from the outside. According to the elevator group control simulation device 1 of the present embodiment, even in such a case, the current set value of the control parameter can be estimated, and performance evaluation based on the estimated set value can be performed. Therefore, it is possible to check whether or not the set value of the dynamically set control parameter is appropriate.

In addition, in the present embodiment, it is assumed that the control parameters required for the simulation are the same as the control parameters used in the existing elevator group management system 100, but these parameters do not necessarily have to be the same. For example, when the control parameters required for simulation are different from the control parameters used in the established elevator group management system 100, the set values of the control parameters are also different. The set value of the operation that matches the actual situation of the established elevator group management system 100 is sufficient.

2nd embodiment

Regarding the elevator group management simulation device 1 according to the first embodiment, the case where the car control device 20 generates the car data in the operation history data used in the elevator group management simulation device 1 has been described, but the present invention Without being limited thereto, the car data may be obtained from measurement devices such as acceleration sensors and laser scanning sensors installed in each car 24 .

Fig. 7 is a block diagram showing the configurations of the elevator group management simulation device 1A and the elevator group management system 100 according to the second embodiment of the present invention. The feature of the elevator group management simulation device 1A of Fig. 7 is that, compared with the elevator group management simulation device 1 of Fig. 1 , instead of the operation history data storage 14, an operation history data storage 14A is provided, the operation history data The memory 14A stores the history data of the car position from the acceleration sensor 27 provided in each car 24 and the history data of the opening and closing of the door of the car 24 from the laser scanning sensor 28 provided in each car 24. And the historical record data of the load in the car.

In Fig. 7, the acceleration sensor 27 detects the acceleration of each car, calculates the change of the car position of the car 24 based on the detected acceleration, and uses the calculated change of the car position as a historical record of the car position The data is output. Then, the laser scanning sensor 28 acquires the open and closed state of the door of the car 24 by laser light, and outputs the acquired open and closed state of the door of the car 24 as door opening and closing history data. In addition, the laser scanning sensor 28 calculates the number of passengers in the car based on the measurement results of the number of people in each car 24 by laser, and calculates the load in the car based on the number of people riding in each car 24. The calculated load in the car is output as history data of the load in the car.

Next, the operation of the elevator group control simulation device 1A of the second embodiment configured as described above will be described.

Compared with the elevator group management simulation device 1 of the first embodiment, the elevator group management simulation device 1A of the second embodiment does not transfer the history record data of the car position, the position of the car 24 from the group management control unit 13 When the history record data of opening and closing of the door and the history record data of the load in the car are stored in the operation history record data memory 14A, the history record data of the car position, car The opening and closing history data of the door of the car 24 and the history data of the load in the car are stored in the operation history data memory 14A.

According to the elevator group management simulation device 1A of the above-mentioned embodiment, the same effect as that of the elevator group management simulation device 1 of the first embodiment can be obtained. Furthermore, according to the elevator group control simulation device 1A of the above-mentioned embodiment, compared with the elevator group control simulation device 1 of the first embodiment, it is possible to Since the set value of the control parameter is detected based on the 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 supervisory control unit 13 .

In addition, the places where the acceleration sensor 27 and the laser scanning sensor 28 are installed are not limited to the above-mentioned places. In addition, other measurement devices such as image sensors may also be used.

third embodiment

The elevator group control simulation devices 1 and 1A of the above-described embodiments acquire passenger flow data generated in advance from the passenger flow data memory 15 and use the data. In contrast, the elevator group control simulation device 1B according to the third embodiment of the present invention is characterized in that it generates passenger flow data based on the operation history data of each car 24 .

Fig. 8 is a block diagram showing the configuration of an elevator group control simulation device 1B according to a third embodiment of the present invention. The elevator group control simulation device 1B of FIG. 8 is characterized in that, in comparison with the elevator group control simulation device 1 of FIG.

In FIG. 8 , the passenger flow data generation unit 18 generates passenger flow data showing passenger occurrence conditions based on the operation history data stored in the operation history data memory 14 , and outputs the passenger flow data to the simulation unit 16 .

Next, the operation of the elevator group control simulation device 1B of the third embodiment configured as described above will be described.

Fig. 9 is a flowchart showing operation simulation execution processing executed by the elevator group management simulation device 1B of Fig. 8 . 9 is characterized in that, compared with the flowchart showing operation simulation execution processing in FIG. 2 of the first embodiment, step S4A is included instead of step S4, and step S5 is included instead of step S5. Step S5A has a step S7 of generating passenger flow data before step S1.

In FIG. 9 , in step S7 , the passenger flow data generator 18 generates passenger flow data based on the operation history data from the operation history data memory 14 . Here, according to the historical record data of each car position contained in the action historical record data memory 14 and the historical record data of the load in the car, estimate the generation time, boarding floor and disembarkation floor of each passenger, and generate as follows: Passenger flow data as shown in FIG. 3 of the first embodiment. A brief description is given below.

First, whenever the car stops at a floor, the number of passengers and passengers on that floor is calculated. Then, according to the number of people who take the elevator and the number of people who get off the elevator at each stop floor, calculate the elevator floor and the elevator floor of each passenger. For example, the boarding floor and the disembarking floor of each passenger are calculated based on the condition that passengers boarding on a certain floor get off at a floor located in front of the traveling direction of the boarding floor. Next, the generation time of each passenger is calculated. For example, during the time from the moment when the car 24 that the passenger is going to ride on arrives at the boarding floor, the car 24 that has stopped at the floor departs to the time when the car 24 that the passenger is going to take arrives at the floor , calculated according to the random arrival model. In addition, the generation method of passenger flow data is not limited to the above-mentioned method.

Next, step S1 to step S3 are the same as step S1 to step S3 in FIG. 2 of the first embodiment. Next, the simulation part 16 receives the passenger flow data representing the generation status of passengers from the passenger flow data generation part 18 (step S4A), and extracts the control parameters of each time period corresponding to the time when passengers are generated from the look-up table according to the passenger flow data. , execute operation simulation using the extracted control parameters (step S5A), and display the simulation result on the display unit 17 (step S6).

According to the elevator group management simulation device 1B of the above-described embodiment, the same effect as that of the elevator group management simulation device 1 of the first embodiment can be obtained. And, according to the elevator group management simulation device 1B of the above embodiment, compared with the elevator group management simulation device 1 of the first embodiment, it is possible to perform control parameter detection and passenger monitoring based on the operation history data of each car 24. Therefore, it is neither necessary to generate data representing the current set value of the control parameter nor to generate passenger flow data, so that the actual performance of the elevator group management system 100 in operation can be obtained. Simulation results.

4th embodiment

The elevator group control simulation devices 1 , 1A, and 1B of the above-described embodiments execute operation simulation based on the operation history data of each car 24 . In contrast, the elevator group management simulation device 1C according to the fourth embodiment of the present invention is characterized in that it can use the elevator group management simulation devices 1, 1A, and 1B of the above-mentioned embodiments based on the operation history of each car 24 A running simulation of the data is compared to a running simulation based on arbitrary input control parameters.

Fig. 10 is a block diagram showing the configuration of an elevator group control simulation device 1C according to a fourth embodiment of the present invention. The feature of the elevator group management simulation device 1C of FIG. 10 is that, compared with the elevator group management simulation device 1 of FIG. Group management control parameter input unit 19 for control parameters of group management control.

The simulation part 16A is characterized in that, compared with the simulation part 16 of the first embodiment, the elevator group is executed based on the passenger flow data stored in the passenger flow data memory 15 and the control parameters input from the group management control parameter input part 19. The operation simulation of the group management system outputs each simulation result to the display unit 17 .

Next, the operation of the elevator group control simulation device 1C of the fourth embodiment configured as described above will be described.

Fig. 11 is a flowchart showing operation simulation execution processing executed by the elevator group management simulation device 1C of Fig. 10 . Compared with the flowchart showing the operation simulation execution process in FIG. 2 of the first embodiment, the flowchart in FIG. 11 showing the operation simulation execution process is characterized by having steps S8 to S10 instead of step S6 .

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

According to the elevator group management simulation device 1C of the above embodiment, the same effect as that of the elevator group management simulation device 1 of the first embodiment can be obtained. Furthermore, according to the elevator group management simulation device 1C of the above embodiment, compared with the elevator group management simulation device 1 of the first embodiment, when the control parameter is set to the current setting value and the current In the case of different arbitrary set values, the simulation is performed using the same passenger flow data, so it is possible to grasp the change in performance (operating efficiency) when the control parameter is changed from the current situation in accordance with the actual situation.

In addition, the group supervisory control parameter input unit 19 may accept input of arbitrary set values of various control parameters, perform operation simulation for various input settings, and output the simulation results. In addition, a relative comparison result between the simulation result when the control parameter is set to the current set value and the simulation result when the control parameter is set to an arbitrary set value input may be calculated and output.

Industrial availability

As described in detail above, according to the control parameter detection method of the present invention, according to the movement history record data of a plurality of cars, the control mode and the control mode during each time period of the group management control of the elevator group management system in operation are detected. The current set value of the control parameter of each control mode can detect the set value of the control parameter easily and with high precision.

Label description

1, 1A, 1B, 1C elevator group management simulation device; 10 group management control parameter detection device; 10A control mode transfer time point detection part; 10B group management control parameter detection part; 11 table memory; 13 group management control 14, 14A action history record data memory; 15 passenger flow data memory; 16, 16A simulation part; 17 display part; 18 passenger flow data generation part; 19 group management control parameter input part; 20 car control device; 21 Driving device; 21a motor; 21b driving sheave; 22 counterweight; 23 main rope; 24 car; 25 car operating panel; 26 weighing device; 27 acceleration sensor; 28 laser scanning sensor; 30 floor call button; 31 floor station control devices; 100 elevator group management systems.

Claims (11)

1. a kind of control parameter detection method, it detects the setting value of the control parameter for being managed collectively more cars, with Emulated in the operation of the elevator group management system with the more cars to having set, it is characterised in that the control Parameter detection method processed comprises the following steps：

The step of storing the action historical record data relevant with the action of the more cars；

According to the action historical record data, the time point of the control model transfer of the elevator group management system is detected Step；

According to the action historical record data, the step of detecting the setting value of control parameter during each time, wherein, it is described During being the time time point of the control model transfer detected and the time point shifted next time between during time.

2. control parameter detection method according to claim 1, it is characterised in that

The control parameter detection method also includes obtaining the action by each measuring device for being arranged on each car The step of historical record data.

3. control parameter detection method according to claim 1 or 2, it is characterised in that

The action historical record data includes the historical record data of the car position of each car,

The control parameter detection method also includes the historical record data of the car position according to each car, detects institute State the step of elevator in control parameter sends floor and elevator to send number of units.

4. control parameter detection method according to claim 3, it is characterised in that

The action historical record data also includes the historical record data of the opening and closing of the door of each car,

The control parameter detection method also includes the historical record data and Ge Tai of the car position according to each car The historical record data of the opening and closing of the door of the car, the step of detecting the enabling number of units in the control parameter.

5. control parameter detection method according to claim 1 or 2, it is characterised in that

The action historical record data includes the historical record data of the car position of each car,

The control parameter detection method also includes the historical record data of the car position according to each car, detects institute The step of stating the not service floor in control parameter.

6. control parameter detection method according to claim 1 or 2, it is characterised in that

Sedan-chair described in the historical record data and Ge Tai of the car position of the action historical record data including each car The historical record data of the opening and closing of the door in railway carriage or compartment,

The control parameter detection method also includes the historical record data and Ge Tai of the car position according to each car The historical record data of the opening and closing of the door of the car, detect in the control parameter setting out adjustment floor and set out adjustment when Between the step of.

7. the control parameter detection side in a kind of elevator group management emulation mode, including claim 1~6 described in any one Method, the operation to the elevator group management system emulate, it is characterised in that the elevator group manages emulation mode bag Include following steps：

The setting value of the control parameter detected in the step of detecting the setting value of the control parameter is stored as each control The step of inquiry table of pattern；And

According to the passenger flow data for the generation situation for representing passenger and the inquiry table, the step of operation emulates is performed.

8. elevator group according to claim 7 manages emulation mode, it is characterised in that

The elevator group management emulation mode also includes generating the passenger flow data according to the action historical record data The step of.

9. the elevator group management emulation mode according to claim 7 or 8, it is characterised in that

The elevator group management emulation mode also includes：

The step of inputting the arbitrary setting value of the control parameter；And

The step of operation emulation is performed according to the arbitrary setting value inputted and the passenger flow data.

10. a kind of control parameter detection means, it is arranged to be used for the elevator group management with more cars to having set The elevator group management simulator that the operation of system is emulated, the control parameter detection means are detected for being managed collectively The setting value of the control parameter of the more cars, it is characterised in that the control parameter detection means has：

Historical record data memory cell is acted, it stores the action historical record number relevant with the action of the more cars According to；

Control model transfer time point test section, it detects the elevator group management according to the action historical record data The time point of the control model transfer of system；And

Control parameter test section, it detects the setting of the control parameter during each time according to the action historical record data Value, wherein, be during the time control model transfer detected time point and time point for shifting next time it Between time during.

11. a kind of elevator group manages simulator, it has the control parameter detection means described in claim 10, its feature It is, the elevator group management simulator has：

Table memory cell, the setting value of the control parameter detected by the control parameter detection means is stored as each control by it The inquiry table of pattern；And

Simulation part, its passenger flow data according to the generation situation for representing passenger and the inquiry table, perform operation emulation.