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Research On Simulation And Scheduling Of Traffic Flow In Elevator Group Control System

Posted on:2019-11-11Degree:MasterType:Thesis
Country:ChinaCandidate:Y F DuanFull Text:PDF
GTID:2392330578471965Subject:Electrical engineering
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With the rapid development of social economy,a lot of high-rise building appeared Elevators are the main force supporting the existence of high-rise buildings.The consequences of the absence of an elevator will be unthinkable.Nowadays,the service quality of elevators needs to be improved to satisfy the requirements of passengers,single elevator is insufficient for the building transportation.Therefore,it is necessary to install multiple elevators to cooperate with each other.And this requires the elevator group control system to be introduced to dispatch elevators.The traffic flow has been studied in depth because the traffic flow condition plays a decisive role in the selection of the scheduling scheme of the elevator group control system and its collection is difficult.The thesis use the Matlab programming to complete the establishment of the passenger flow simulation model based on the Monte Carlo sampling method and arrival time of passengers.And the arrival time of passengers was obtained by using the law of passengers' time distribution.Subsequently,the multi-objective evaluation function was constructed with the average waiting time,average riding time and the power loss as the evaluation index.And this function is the basis for choosing the elevator plan for elevator group control system.The particle swarm optimization algorithm and multi-objective evaluation function are used to schedule elevators in elevator group control system.The elevator dispatching scheme for multiple elevators can be quickly obtained by this method because the principle of this method is simple and requires few parameters to be adjusted.Finally,the group control system simulation program is used to simulate the elevator group control system based on particle swarm optimization.The simulation results show that the elevator can run efficiently and conveniently under the control of the elevator group control system based on the particle swarm optimization algorithm.And it can reduce the unnecessary power loss caused by multiple start-stops in a certain extent,it reduces the passengers' waiting time and time for boarding,and brings a good ride experience to passengers.
Keywords/Search Tags:Elevator group control system, passenger flow simulation model, particle swarm algorithm, multi-objective evaluation function, scheduling
PDF Full Text Request
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