Optimization strategy of group control algorithm for small and medium-sized elevators with traffic pattern

Abstract

In the elevator group control dispatching system, the deterministic analytical algorithm is still widely used in practical applications, but the traditional algorithm lacks self-adaptability to the elevator group control strategy, the processing efficiency of the call signal is low, and the selection of the elevator to be distributed is not flexible. To solve the above problems, traffic flow is introduced to identify traffic patterns and flexibly switch to optimize the stop sequence of call signals; Select the allocatable elevator flexibly, and use Poisson signal to simulate the passenger flow on MATLAB for simulation verification. The results show that after optimization, the owner's waiting time, congestion and elevator energy consumption are improved effectively.