Based On The Ant Colony Algorithm Research And Design Of Elevator Group Controller

Elevator as an important means of transport in high-rise buildings, it is not just simply play a role in the transport of passengers, but it also marks the quality of service to passengers throughout the building. Passenger waiting time, riding time and riding comfort, have already become the main criteria for assessing the transport capacity of the elevator. In order to improve the operating efficiency of the elevator, the elevator to meet the quality of passenger service elevator group control system has become a focus topic.This paper presents the general structure of the elevator control system, based on the model of Elevator Traffic analysis identified five basic modes of transport. Through various scheduling methods elevator group control techniques for analysis, established a colony algorithm based elevator group control controller model. Traffic simulation using traffic data, the factors such as passenger waiting time of passengers and users of concern as input controller to simulate the operation of a house of three buildings typical traffic patterns on the ant colony algorithm Elevator Group simulation controller. The results show that the true effectiveness of this algorithm controller.In this paper, a DSP chip design part of the elevator group controller hardware system, especially information and communication via CAN bus protocol and field data collection. Using Visual Basic6.0language interface for monitoring the elevator system has been programmed with the transmission speed of the group controller uses the faster USB communication technology, so by exchanging information, the elevator lift supervisory personnel to observe the operation in real time. Ant colony algorithm combines hardware and software design, making this article has practical significance for the study of elevator group control system.