Algorithm of elevator group system with destination reservation based on traffic mode

ZHOU Hai dan, CHEN Su yang, XV Xv dong

(College of Special Equipment, Hangzhou Vocational and Technical College, Hangzhou 310018, China)

Abstract: Aiming at the problems that incomplete uncertain call information, low service efficiency and high energy power comsumption of traditional elevator group control system (EGCS), the structure, call mode and dispatch algorithm of EGCS was researched, an EGCS with destination reservation was proposed , both direction and definite destination were available, and the exact call information of the system could be obtained. The fuzzyneural network was constructed and trained, taking the traffic flow as input, the identification of traffic mode based on fuzzyneural network was realized. At last, the simulation software was written by visual basic and matrix VB and the dispatching algorithm of EGCS based on fuzzyneural network was simulated. The results indicate that various controlling strategies are adopted under different traffic patterns in order to achieve the optimization control of elevator group, the proposed algorithm of EGCS with destination reservation bases on traffic mode can improve operating efficiency and group performance. Therefore, it is validity and feasible.

Key words: traffic mode; destination reservation; elevator group control system; fuzzyneural network