Elevator fleet management system parameter optimization method

Abstract

The application discloses an elevator group management system parameter optimization method, obtains basic data required when an elevator group management system executes at least one time of elevator deployment, a deployment result and system parameters of the elevator group management system; executes optimal deployment by using the basic data, and outputs an optimal deployment result; judges whether the optimal deployment result is same as the deployment result; judges whether the deployment result of the elevator group management system can be same as the optimal deployment result by adjusting the system parameters; minimizes an evaluation index model with the system parameters as variables, outputs the system parameters corresponding to the minimum value of the evaluation index model and takes the system parameters as optimal system parameters; and replaces the system parameters of the elevator group management system with the optimal system parameters. The application can improve the performance of the elevator group management system, improve and enhance the operation efficiency of the elevator and save electric energy by automatically optimizing the group management system parameters.

Description

TECHNICAL FIELD

[0001] The present application relates to the elevator technical field, specifically to the elevator group management system parameter optimization method. BACKGROUND

[0002] When the elevator is put into use, the manufacturer will usually set the related group management system parameters for the elevator group management system according to the actual situation of the building, so that the elevators in the elevator group management system can efficiently provide transportation services for passengers. However, as time goes on after the elevator is put into use, the format distribution situation of the building where the elevator is located, the traffic travel demand and law of passengers on each floor, etc. may change. These changes will make the original elevator group management system parameters not well adapt to the changed elevator boarding demand, thereby reducing the rationality of the deployment result of the elevator group management system, thereby reducing the overall operation efficiency of the elevator, and adversely affecting the boarding experience of passengers.

[0003] Therefore, how to make the elevator group management system have the parameter self-adjusting capability, so that it can automatically adapt to the changing boarding demand according to the actual situation of the elevator boarding demand has become a technical problem to be solved. SUMMARY

[0004] In order to solve the above technical problem, the present application provides an elevator group management system parameter optimization method, which comprises:

[0005] Step S1, obtaining the basic data required when the elevator group management system executes at least once elevator deployment, the deployment result and the system parameters of the elevator group management system, the basic data at least including building information, elevator specification information, elevator operation information and call registration information;

[0006] Step S2, performing optimal deployment using the basic data, outputting the optimal deployment result, the optimal deployment result being the deployment scheme corresponding to the best evaluation index in all possible deployment schemes, and the optimal deployment being the deployment that obtains the optimal deployment result using the basic data;

[0007] Step S3, judging whether the optimal deployment result and the deployment result are the same, if yes, turning to step S7, otherwise turning to step S4;

[0008] Step S4, judging whether the deployment result of the elevator group management system can be made the same as the optimal deployment result by adjusting the system parameters, if yes, taking the adjusted system parameters as the optimal system parameters, and turning to step S6, otherwise turning to step S5;

[0009] Step S5, minimizing the evaluation index model with the system parameters as variables, outputting the system parameters corresponding to the minimum value of the evaluation index model as the optimal system parameters;

[0010] Step S6, replacing the system parameters of the elevator group management system with the optimal system parameters;

[0011] Step S7, ending.

[0012] Preferably, the step S2 enumerates all possible deployment schemes, and the deployment scheme corresponding to the best evaluation index is taken as the optimal deployment result and output.

[0013] Preferably, the step S2 applies the evaluation method corresponding to the evaluation index of the deployment result generated and output by the elevator group management system to perform evaluation on all possible deployment schemes enumerated.

[0014] Preferably, when the responding elevator corresponding to the optimal deployment result is identified by the elevator group management system as an elevator to be excluded, the step S4 first analyzes the rules and rule parameters according to which the responding elevator is identified as an elevator to be excluded, and then analyzes whether the responding elevator can be identified as an elevator not to be excluded by modifying the rule parameters.

[0015] Preferably, when the responding elevator corresponding to the optimal deployment result is identified by the elevator group management system as a candidate elevator that can be assigned to a call signal, the step S4 analyzes whether the responding elevator corresponding to the optimal deployment result can become the responding elevator of the deployment result identified by the elevator group management system by modifying the deployment strategy parameters.

[0016] Preferably, the modified parameters do not exceed the pre-set parameter allowed range.

[0017] Preferably, when the analysis result is that it can be done, the S4 judges whether the number of feasible modification results of the parameters exceeds a threshold value a, and when it exceeds, the number of elevator deployments performed by the elevator group management system in the step S1 is increased until the number of feasible modification results does not exceed the threshold value a.

[0018] Preferably, the elevator deployment performed by the elevator group management system in the step S1 corresponds to different passenger flow patterns and / or different operation periods.

[0019] Preferably, when the analysis result is that it cannot be done, the step S5 minimizes the evaluation index model with the system parameters as variables, outputs the system parameters corresponding to the minimum value of the evaluation index model as the optimal system parameters.

[0020] Preferably, the parameter optimization method further comprises, between steps S6 and S7:

[0021] Step A1: adjusting the weight coefficients of each influencing factor involved in the evaluation index according to the deployment result of the elevator group management system.

[0022] Preferably, the step A1 further comprises

[0023] Sub-step A1-1: obtaining actual data (i.e. actual values of the influencing factors involved in the evaluation index) corresponding to the deployment result of the elevator group management system after the replacement operation is performed;

[0024] Sub-step A1-2: calculating the difference between the obtained actual data and the reference values of the corresponding influencing factors;

[0025] Sub-step A1-3: adjusting the weight coefficients of the influencing factors in the evaluation index according to the differences of the influencing factors (by adjusting so that the relative sizes of the weight coefficients are roughly proportional to the relative sizes of the differences corresponding to the weight coefficients);

[0026] Sub-step A1-4: replacing the weight coefficients in the evaluation index calculation formula with the adjusted weight coefficients.

[0027] Preferably, the step S6 verifies the optimal system parameters using the remaining basic data unrelated to the optimal system parameters before performing the replacement operation of the system parameters, and performs the replacement operation only when the verification is passed.

[0028] Preferably, the step S6 performs the replacement operation only when the optimal deployment result can still be obtained under the optimal system parameters, or although the optimal deployment result cannot be obtained, the comprehensive evaluation index output by the evaluation index model of all deployment results corresponding to all basic data under the optimal system parameters is optimal.

[0029] Beneficial technical effects

[0030] The elevator group management system parameter optimization method of the present application has the ability to automatically adjust parameters, can automatically adapt to changing passenger demand, and thus improves the performance of the elevator group management system, improves and enhances the efficiency of elevator operation, and saves power. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 Flowchart of the elevator group management system parameter optimization method of Example One;

[0032] Figure 2 Flowchart of the elevator group management system parameter optimization method of Example Two. DETAILED DESCRIPTION

[0033] Other advantages and novel features of the present application will become apparent from the following detailed description of the application when considered in conjunction with the drawings. The application will be described with reference to the attached figures. The following detailed description includes specific details for the purpose of providing a thorough understanding of the present application. However, it will be apparent to those skilled in the art that the present application can be practiced without these specific details. In some instances, well-known structures and devices are shown in block diagram form in order to avoid obscuring the present application.

[0034] Embodiment One

[0035] As shown in the figure, the elevator group management system parameter optimization method of the present embodiment includes: Figure 1

[0036] Step S1, obtaining the basic data required when the elevator group management system executes at least one time of elevator deployment, the deployment result and the system parameters of the elevator group management system, the basic data at least including building information, elevator specification information, elevator operation information and call registration information;

[0037] Step S2, executing optimal deployment by using the basic data, outputting the optimal deployment result; the optimal deployment result refers to the deployment scheme corresponding to the best evaluation index among all possible deployment schemes, and the optimal deployment refers to the deployment of obtaining the optimal deployment result by using the basic data;

[0038] Step S3, judging whether the optimal deployment result is the same as the deployment result, if yes, turning to step S7, otherwise, turning to step S4;

[0039] Step S4, judging whether the deployment result of the elevator group management system can be the same as the optimal deployment result by adjusting the system parameters, if yes, taking the adjusted system parameters as the optimal system parameters, turning to step S6, otherwise, turning to step S5;

[0040] Step S5, minimizing the evaluation index model by taking the system parameters as variables, outputting the system parameters corresponding to the minimum value of the evaluation index model and taking them as the optimal system parameters;

[0041] Step S6, replacing the system parameters of the elevator group management system with the optimal system parameters;

[0042] Step S7, ending.

[0043] The system parameters of the elevator group management system include rule parameters and strategy parameters.

[0044] ​In step S2, enumeration is preferably adopted, i.e. all possible allocation schemes are enumerated, and the allocation scheme corresponding to the best evaluation index is taken as the optimal allocation result and outputted; specifically, step S2 applies the evaluation method corresponding to the evaluation index of the evaluation result of the elevator group management system when generating and outputting the evaluation result to perform evaluation on all possible allocation schemes obtained by enumeration.

[0045] In engineering practice, in order to reduce the calculation amount of the group management system and reduce the processing capacity requirement of the elevator group management processor, when a lift request signal is received, first, according to various rules, the elevators obviously unsuitable for responding to the lift request signal are excluded from all elevators, then the remaining selectable elevators for responding to the lift request signal are evaluated, and the selectable elevator with the optimal evaluation result is taken as the response elevator of the lift request signal. This process involves the rule parameters in the group management system and the evaluation parameters in the evaluation index calculation. In addition, according to the current passenger flow mode, etc., the group management system also designs some special allocation strategies for specific purposes, such as special response strategies during the morning peak, which involves some strategy parameters. Thus, the elevator group management system parameter optimization method should have the ability to optimize all these parameters.

[0046] It should be noted that the elevator group management system parameter optimization method of the present application is usually set in a specific server with stronger information processing capacity, the server and the elevator group management controller have communication capability, and the server issues the optimized parameters to the elevator group management controller after obtaining the optimized parameters. Of course, it can also be directly set in the elevator group management controller, and the parameter optimization method is executed by the elevator group management controller in the idle period when the group management algorithm is not executed.

[0047] When the response elevator corresponding to the optimal allocation result is the elevator to be excluded as identified by the elevator group management system, step S4 first analyzes the rules and rule parameters according to which the response elevator is identified as the elevator to be excluded, and then analyzes whether the response elevator can be no longer identified as the elevator to be excluded by modifying the rule parameters; when the response elevator corresponding to the optimal allocation result is the candidate elevator that can be assigned to the lift signal as identified by the elevator group management system, step S4 analyzes whether the response elevator corresponding to the optimal allocation result can be changed to the response elevator of the allocation result identified by the elevator group management system by modifying the allocation strategy parameters; the modified parameters cannot exceed the pre-set parameter allowed range.

[0048] To avoid the situation that the optimized parameters are only applicable to a certain set of specific data but not to the overall current elevator demand, the optimized parameters need to be verified. To this end, when the analysis result is positive, S4 determines whether the number of feasible modification results of the parameters exceeds a threshold a (e.g., a = 1), and when it does, increases the number of elevator dispatches performed by the elevator group management system in step S1 until the number of feasible modification results does not exceed the threshold a. Preferably, the elevator dispatches performed by the elevator group management system in step S1 correspond to different passenger flow patterns and / or different time periods.

[0049] When the analysis result is negative, step S5 minimizes the evaluation index model with the system parameters as variables, outputs the system parameters corresponding to the minimum value of the evaluation index model as the optimal system parameters.

[0050] Embodiment Two

[0051] As shown in the following table, embodiment one does not involve the optimization of the evaluation index involved in the evaluation index calculation. This embodiment is specifically directed to the optimization of the evaluation index. Figure 2

[0052] The parameter optimization method further includes the following steps between steps S6 and S7:

[0053] Step A1 adjusts the weight coefficients of each influencing factor involved in the evaluation index according to the dispatch results of the elevator group management system.

[0054] Further, step A1 can further include:

[0055] Sub-step A1-1 obtains the actual data (i.e., the actual values of the influencing factors involved in the evaluation index) corresponding to the dispatch results of the elevator group management system after the replacement operation is performed;

[0056] Sub-step A1-2 calculates the difference between the obtained actual data and the reference values of the corresponding influencing factors;

[0057] Sub-step A1-3 adjusts the weight coefficients of the influencing factors in the evaluation index according to the differences of the influencing factors (by adjusting so that the relative sizes of the weight coefficients are roughly proportional to the relative sizes of the differences corresponding to the weight coefficients);

[0058] Sub-step A1-4 replaces the weight coefficients in the evaluation index calculation formula with the adjusted weight coefficients (i.e., the evaluation index parameters in the group management system).

[0059] Embodiment Three

[0060] This embodiment adds a verification function for the optimal system parameters on the basis of the foregoing embodiments.

[0061] ​The step S6 verifies the optimal system parameter with the rest of the basic data irrelevant to the optimal system parameter before performing the replacing operation of the system parameter, and performs the replacing operation only when the verification is passed.

[0062] The step S6 performs the replacing operation only when the optimal deployment result is still obtained under the optimal system parameter, or although the optimal deployment result is not obtained, the comprehensive evaluation index output by the evaluation index model of all deployment results corresponding to all basic data under the optimal system parameter is optimal.

[0063] The above has been described in detail through specific embodiments, and the above embodiments are only the preferred embodiments of the present application, and the present application is not limited to the above embodiments. Equivalent substitutions and improvements made by those skilled in the art without departing from the principles of the present application should be considered within the scope of the technical field protected by the present application.

Claims

1. An elevator fleet management system parameter optimization method, characterized by, The parameter optimization method comprises: Step S1, obtaining basic data required when the elevator group management system executes at least one time of elevator dispatching, a dispatching result and system parameters of the elevator group management system, wherein the basic data at least comprises elevator operation information and call registration information; Step S2, performing optimal dispatching by using the basic data, and outputting an optimal dispatching result, wherein the optimal dispatching result refers to a dispatching scheme corresponding to the best evaluation index in all possible dispatching schemes, and the optimal dispatching refers to a dispatching of obtaining the optimal dispatching result by using the basic data; Step S3, judging whether the optimal dispatching result is same as the dispatching result, if yes, turning to step S7, otherwise, turning to step S4; Step S4, judging whether the dispatching result of the elevator group management system can be same as the optimal dispatching result by adjusting the system parameters, if yes, taking the adjusted system parameters as optimal system parameters, and turning to step S6, otherwise, turning to step S5; Step S5, minimizing an evaluation index model by taking the system parameters as variables, outputting the system parameters corresponding to the minimum value of the evaluation index model and taking the system parameters as optimal system parameters; Step S6, replacing the system parameters of the elevator group management system with the optimal system parameters; Step S7, ending.

2. The elevator group management system parameter optimization method according to claim 1, characterized by, The step S2 enumerates all possible dispatching schemes, and takes a dispatching scheme corresponding to the best evaluation index as the optimal dispatching result and outputs the optimal dispatching result.

3. The elevator group management system parameter optimization method according to claim 2, characterized by, The step S2 applies an evaluation method corresponding to an evaluation index when the elevator group management system generates and outputs a dispatching result thereof to perform evaluation on all possible dispatching schemes obtained by enumeration.

4. The elevator group management system parameter optimization method according to claim 1, characterized by, When a responding elevator corresponding to the optimal dispatching result is identified as an elevator to be excluded by the elevator group management system, the step S4 firstly analyzes rules and rule parameters on which the responding elevator is identified as the elevator to be excluded, and then analyzes whether the responding elevator can be no longer identified as the elevator to be excluded by modifying the rule parameters.

5. The elevator fleet management system parameter optimization method of claim 1, wherein, When the responding elevator corresponding to the optimal dispatching result is identified as a candidate elevator to which a call signal can be assigned by the elevator group management system, the step S4 analyzes whether the responding elevator corresponding to the optimal dispatching result can be changed into a responding elevator of a dispatching result identified by the elevator group management system by modifying dispatching strategy parameters.

6. The group elevator management system parameter optimization method according to claim 4 or 5, characterized by, The modified parameters do not exceed a pre-set parameter allowable range.

7. The elevator fleet management system parameter optimization method of any of claims 4-6, wherein, When the analysis result is that it can, the step S4 judges whether a number of feasible modification results of the parameters exceeds a threshold value α, and when the number of the feasible modification results exceeds the threshold value α, the number of times of elevator dispatching executed by the elevator group management system in the step S1 is increased until the number of the feasible modification results does not exceed the threshold value α.

8. The elevator group management system parameter optimization method according to claim 7, characterized by, The elevator dispatching executed by the elevator group management system in the step S1 corresponds to different passenger flow modes and / or different operation time periods.

9. The elevator group management system parameter optimization method according to claim 5, characterized by, When the analysis result is that it cannot, the step S5 minimizes an evaluation index model by taking the system parameters as variables, outputs the system parameters corresponding to the minimum value of the evaluation index model and takes the system parameters as optimal system parameters.

10. The elevator fleet management system parameter optimization method of claim 1, wherein, The parameter optimization method further comprises the following steps between step S6 and S7: Step A1, adjusting the weight coefficients of each influencing factor involved in the evaluation index according to the deployment result of the elevator group management system.

11. The elevator fleet management system parameter optimization method of claim 10, wherein, The step A1 further comprises Sub-step A1-1, obtaining actual data corresponding to the deployment result of the elevator group management system after the replacement operation is performed; Sub-step A1-2, calculating the difference between the obtained actual data and the reference value of the corresponding influencing factor; Sub-step A1-3, adjusting the weight coefficient of each influencing factor in the evaluation index according to the difference of each influencing factor (by adjusting the weight coefficient to make the relative size of the weight coefficient to the corresponding difference value roughly proportional); Sub-step A1-4, replacing the weight coefficient in the evaluation index calculation formula with the adjusted weight coefficient.

12. The group elevator management system parameter optimization method according to claim 1, characterized by, The step S6 verifies the optimal system parameter using the remaining basic data unrelated to the optimal system parameter before performing the replacement operation of the system parameter, and performs the replacement operation only when the verification is passed.

13. The elevator fleet management system parameter optimization method of claim 12, wherein, The step S6 performs the replacement operation only when the optimal deployment result can still be obtained under the optimal system parameter, or although the optimal deployment result cannot be obtained, the comprehensive evaluation index output by the evaluation index model of all deployment results corresponding to all basic data under the optimal system parameter is optimal.

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