Energy-Saving Scheduling Of Elevator Group Control System Research

The mushrooming of high-rise building entailed a sharp increase in the demand for elevators as a single elevator simply cannot satisfy the needs of passengers.In order to improve efficiency of passenger transport,high-rise buildings increased the number of elevators to meet people's demands.The application of elevator group reduce the users' time spent on waiting for the elevator.However,currently available elevator is of low efficiency and high-energy consumption.Therefore,it is necessary to optimize the design to improve the operation efficiency of elevator group and reduce the energy consumption in the process of its operation.The purpose of this study is to optimize the elevator group,through analyzing the characterstics of elevator group in operation.The artifical intelligence algotithm is applied to the elevator group control system(EGCS).due to its prominent performance in the optimized design of modeling.Also,MATLAB is used to realize the core programming and a simulation platform for research testing is established.This thesis is arranged as follows.First of all,the history of elevator control and research status quo of EGCS status are expounded.Secondly,the various algorithms on EGCS are brifely introduced in the former EGCS research and their advantages and disadvantages are indetified.Then,regarding the elevator operation control process,some key issues are analyzed: Existing image recognition technology can be used to effectivly record the number of people of the elevator.When the number of people determined,the traffic flow model of elevator can be defined.through calculating the proportion of traveling personnel and the distribution of request information of each hall.Next,the optimized mathematical model is established,utilizing destination floor reservation technology and according to the features of EGCS indexs,i.e.average waiting time,average riding time,and average energy consumption by the system.Futhermore,multi-objective optimized control is realized by using the core control algorithm(artifical colony algorithm)mathematical model was established,by using the core control algorithm in this thesisFinally,the simulation research is carried out upon the EGCS that is based on the aforesaid algorithm and a platform is eatablished to perform test verification.passenger information is randomly generated and traffic pattern is recognized each hall request information is produced manually.the algorithm design is optimized and the results are generated.The effectiveness of the proposed algorithm is verified by the simulation results obtained from comparative analysis of the EGCS controller using the proposed algorithm and the controller using genetic algorithm.