Studies On The Optimization Of The EGCS

With the prevalence of modern intelligent buildings, elevator has become more and moreimportant as the main conveyance between floors. People’s demands to the elevator systemfunctions are also more and more high. A single elevator cannot satisfy people’s demands fortransportation capability, service quality and work efficiency any longer. The thesis improvesthe intelligent scheduling algorithm of the EGCS based on Adaptive Multi-objectiveScheduling Algorithm regarding the Elevator Group Control System as the research object，cutting down waiting time and riding time, reducing energy using, decreasing congestiondegree of lift car as the goal after the EGCS, the Fuzzy Neural Network as well as theReinforcement Learning is studied.，after that，The thesis also simulates the EGCS. The maincontents are as follows.First, the structure of the EGCS is given; the characters and the targets of performanceevaluation for the EGCS are studied. By taking the shortest average waiting time ofpassengers, the lowest waiting rate of the passengers, the minimum consumption and the leastcrowded degree as the evaluate indexes, the objective function is founded. Thecomprehensive evaluation function is established with the weighted average method. Then thearchitecture of self-adaptive multi-objective optimization is built, the fuzzy neural networkmethod based on the Mamdani mode is applied to identify the traffic pattern；the fuzzy neuralnetwork method based on the Sugeno model is applied to get the objective functionreliability；the Reinforcement Learning method is applied to adjust the evaluation functionparameters；Adaptive Multi-objective Scheduling Algorithm of the EGCS is completed.Finally, using the Matlab/Slmulink,simulation software, the Traffic Flow Simulation Model,the Elevator Running Simulation Model, the Single Elevator Control Simulation Model andthe Elevator Group Control Simulation Model are founded. Taking a three sets12-storyelevator control system as the example, the Adaptive Multi-objective Scheduling Algorithmand the Multi-objective Programming Algorithm are applied to simulate the EGCS separately.The simulation results which can reflect the service quality is obtained. It can verify the correctness of the Simulation Model and the Algorithm and the superiority of the AdaptiveMulti-objective Scheduling Algorithm.The researches in this paper shows that the Adaptive Multi-objective SchedulingAlgorithm applied in the EGCS can enhance the adaptation of the system effectively as wellas improve the performance of the EGCS. It can also provide a reference to the similaroptimization problem. It has a certain practical significance and theoretical significance.