摘要
电梯群控系统的任务是有效地运送乘客 ,提高电梯运行效率 ,改善服务质量。根据大楼不同交通流状况识别不同的交通流模式 ,并采用最合适的调度方法分派电梯是提高电梯群控性能的关键。实现了一种基于模式识别的智能多模式电梯群控调度方法 ,该方法可以在一天中根据不同的交通流状况 ,提供不同的群控策略 ,从而使电梯服务更优。仿真实验表明了这种电梯调度方法是有效的。
The task of elevator group control systems is to transfer passengers effectively and improve the operational efficiency and service quality of elevators. The key to improving performances of elevator group control systems is to identify traffic flow pattern according to different traffic flow status in multi-storied building and adopt the optimal dispatching method to dispatch elevators. A method of intelligent multi-pattern elevator group control dispatching based-on pattern recognition is proposed. The method can provide different group control strategy according to different traffic flows in a day; consequently, elevator service quality is improved. Simulation results show that the method is effective.
出处
《计算机测量与控制》
CSCD
2003年第1期32-35,38,共5页
Computer Measurement &Control
基金
天津市自然科学基金重点基金项目 (99380 12 11)
关键词
智能多模式
电梯群控系统
电梯调度
交通模式识别
模糊神经网络
建筑物
elevator group control systems (EGCS)
elevator dispatching
traffic pattern recognition
fuzzy neural network
multi-pattern