Optimized scheduling method for multi-lift-car elevator cluster

Abstract

An optimized scheduling method based on a particle swarm optimization algorithm and used for a multi-lift-car elevator cluster includes the following steps that passenger flow information is generated through a passenger flow generator, wherein the passenger flow information is a hall layer elevator calling signal; parameter initialization is conducted, wherein parameters include the parameters including cluster size, the iteration number and the like of the adopted particle swarm optimization algorithm and the comprehensive evaluation function determined according to elevator running information; optimized calculation is conducted through the particle swarm optimization algorithm, the optimal solution is obtained through the limited times of iteration, and the optimal elevator dispatching scheme is determined; and the elevator dispatching scheme is converted into a control signal, elevator calling signals are reasonably distributed for all elevators, operation of all the elevators is coordinated, and therefore optimized scheduling of the elevator cluster is achieved. Because the update strategy of the global extremum is improved in the scheduling algorithm, optimal particles which are evenly distributed are obtained, the algorithm convergence and the scheduling performance are improved, meanwhile, it is avoided that the danger of collision may happen when lift cars run in the same shaft, and running safety of a whole elevator system and validity of the scheduling algorithm are ensured.

Description

technical field [0001] The invention relates to a scheduling method for elevator groups, in particular to an optimal scheduling method for multi-car elevator groups based on a particle swarm algorithm. Background technique [0002] The traditional single deck elevator system (Single Deck Elevator Systems, SDES), when the passenger flow exceeds a certain level, its operating efficiency will reach the limit and it is difficult to improve, and increasing the number of elevators will inevitably lead to an increase in the number of hoistways, thereby increasing the consumption of effective building area. . Multi-Car Elevator Systems (MCES), generally expressed as xSyCzF, that is, the elevator system in the z-story building has x hoistways, and each hoistway has y cars, the appearance of MCES is just right. It is used to overcome the problem of insufficient passenger handling capacity caused by the traditional SDES-based traffic configuration. As the name suggests, a multi-car e...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an optimal scheduling method for multi-car elevator groups based on particle swarm optimization algorithm to overcome the problem of insufficient passenger processing capacity based on traditional traffic configuration

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