Elevator Group Dynamic Dispatching System Based on Artificial Intelligent Theory

Elevator group control is a multi-input and multi-output decision-making problem. It is very difficult to obtain high quality performance by using traditional control method due to the uncertainty of traffic flow and complexity of elevator control. A dynamic dispatching system for elevator group based on artificial intelligent technology is presented in this paper. This system includes traffic pattern identify module and dispatching control module mainly. Traffic pattern identify module based on ANN expert system is used to identify the traffic mode of elevators according to the actual traffic flow. Dispatching control module founded on ANN control theory is used to calculate dispatching parameter, the power coefficients selected according to the traffic mode, and give optimized dispatching scheme via ANN deducing. The simulation is made in MATLAB. The results show that elevator dispatching pattern is optimized, the service quality of elevator is improved, and the transportation efficiency of elevator is increased by using this control system.