Research On Intelligent Dispatching Algorithm Of Elevator Group Control System Based On Multi-Objective Planning

With the prevalence of modern intelligent high-rise buildings, elevator intends to be more popular and essential as the main conveyance between floors. The elevator system is requested for a better performance. In recent years, the control technique of the elevator has developed rapidly, many advanced control techniques are applied to the Elevator Group Control System (EGCS), thus the performance of EGCS has been improved greatly. Nevertheless, there are many stressing problems demands for adequate resolution.In order to improve the operating efficiency and quality of elevator, this paper researches an intelligent dispatching algorithm of multi-objective planning based on fuzzy control and destination floor reservation. The main contents of the research are as follows:1. The properties of EGCS are analyzed and a general mathematical model is built up according to the multi objectives of elevator group control. This paper analyses the type and characters of the traffic pattern of elevator, then use the fuzzy logic to identify the real-time mode of traffic, which has provided base for rational elevator scheduling.2. By analyzing the feasibility of the fuzzy scheduling and research status at home and abroad, a comprehensive evaluation function based on multi-objective is built up. Considering the average waiting time, the average riding time, rate of waiting long time of passengers and riding power consumption, weighted coefficient is optimized with different traffic patterns, thus to achieve the optimization control of elevator group.3. With the increase popularity of elevator control method based on destination floor reservation, a mathematic model of multi-objective planning based on destination floor reservation is established. Relevant regulations of group control are designed, through a comprehensive consideration of the average waiting time, the average riding time, rate of waiting long time of passengers and riding power consumption, and multi-objective planning algorithm with reservation in various traffic modes is proposed.4. This thesis researches the arrival process of passengers, builds up a traffic mathematic model based on Poisson Distributing, providing data of traffic flow for algorithm simulation of EGCS. Minimum waiting time, multi-target planning intelligent dispatching and fuzzy controlling algorithms are embedded in the simulating software and environment which are programmed with Visual Basic.