The Performance Test Platform Of The Elevator Group Control System

With high-rise buildings increasing rapidly, single elevator can not meet people’s demand on consumption and quality of service, which requires us not only to introduce more elevators, but also to manage them with better operational efficiency, lower consumption and higher quality of service. For this, the elevator group control system needs to be introduced, and scheduling algorithm is the key to achieve its function in the group control system. However, it is usually difficult to verify the feasibility of scheduling algorithm in a real environment. Therefore, the performance test platform of elevator group control system was developed to achieve this functionality by simulation, which was based on VC++ platform.Four questions have been focused on in this paper, which are how to construct the simulation platform, build traffic flow model, design multi-objective scheduling algorithm develop and simulate the platform of performance test. The article is summarized as follows:Firstly, in order to design the performance test platform of the elevator group control system, this paper identified the purpose of the test platform, then developed the platform by analyzing the overall architecture of the elevator group control system and the functional requirements of the test platform.Secondly, based on the consideration of the actual situation, the traffic flow was divided into four forms. According to the arrival process of the passenger in line with the characteristics of the Poisson distribution, the arrival time of the passenger was calculated. What’s more, the starting floors and the destination floors were determined,which was analyzed by Monte Carlo. All this provided a theoretical support for the test platform.Thirdly, the problem of the multi-objective optimization model was elaborated. And for the elevator group control system meeting the requirements of the time and energy, the evaluation function of the riding time, the waiting time and the energy consumption were identified and the corresponding multi-objective evaluation function was constructed. The best solution for the multi-objective evaluation function was found by genetic algorithm. The performance test platform of the elevator group control system by the group control algorithm was superior in reducing the average riding time, waiting time and energy consumption, comparing with it without group control algorithm, which proved its feasibility.Finally, the performance test platform of the elevator group control system was designed by VC++ software. The mixed programming method of VC++ and Matlab were studied and the dynamic link library was selected. What’s more, it was proved to be feasible by the examples generated by the traffic flow.