Optimization of elevator group control scheduling with multi-strategy switch

Research on the elevator group control strategy has important significances towards to improving efficiency and reducing energy consumption of elevators. In order to optimize the performance of elevator group control system (EGCS) and offer excellent service to passengers, the elevator group control scheduling method based upon known-waiting passengers and multi-strategy switch is proposed in the paper. The number of the passengers who are waiting for elevators can be obtained through detecting device, which is called passive pyroedetric infrared sensor device for body detection. The feasibility of the scheme is validated by sub-area experiment. In this way, the traffic mode of the EGCS can be judged in real time. There are two scheduling algorithms based on fuzzy control theory developed in the paper. The multi-strategy switch method is used to schedule elevators when there is new call according to traffic. So the optimization allocation of scheduling algorithm is realized. The results show that the performance indices of EGCS are optimized and the efficiency of EGCS is improved.