运筹与管理 ›› 2014, Vol. 23 ›› Issue (5): 168-177.

• 应用研究 • 上一篇    下一篇

高层电梯系统运行方案的建模与求解

孟佶贤1, 徐凤2, 吕新忠1   

  1. 1.浙江师范大学 数学系,浙江 金华 321004;
    2.北京师范大学 历史学院,北京 100875
  • 收稿日期:2013-05-15 出版日期:2021-05-25
  • 作者简介:孟佶贤(1990-),男,甘肃天水人,硕士研究生,研究方向:运筹学,图论与组合数学;徐凤(1989-),女,四川简阳人,硕士研究生,研究方向:军事史,军事运筹学;吕新忠(1956-),男,河南延津人,教授,硕士生导师,研究方向:图论与组合数学,图论算法及复杂性。
  • 基金资助:
    国家自然科学基金(61170302);国家自然科学基金(10971198)

Modeling and Solving of the Running Programs of High-rise Elevator System

MENG Ji-xian1, XU Feng2, LU Xin-zhong1   

  1. 1. Department of Mathematics, Zhejiang Normal University, Jinhua 321004, China;
    2. School of History, Beijing Normal University, Beijing 100875, China
  • Received:2013-05-15 Online:2021-05-25

摘要: 随着社会的发展,运用垂直交通系统的高层建筑和智能化建筑不断出现。而有效的电梯交通配置,是垂直交通系统高效运行的基本保证。本文针对高层商务建筑中的电梯运行管理方案设计问题,分析了影响电梯耗能和用户满意度的主要因素。分别建立了电梯数目已知和电梯数目未知情况下的电梯调度优化模型,并设计相应动态规划算法和遗传算法。结合算例,求解算例中的电梯优化调度方案,以验证模型的合理性。最后根据我们建立的电梯调度模型,借助VC++作出可视化的电梯调度示意界面,将本文的研究结果用于实际的电梯调度中。

关键词: 电梯交通系统, 性能指标, 电梯运行周期, 分区运行, 动态规划, 遗传算法

Abstract: With the development of society, the high-rise buildings and intelligent buildings with vertical transportation systems continue to emerge. Meanwhile, optimum dispatching of elevator banks is essential to elevator traffic system. In view of the elevators in high rise commercial building operation and management program design issues, we analyze the main factors of the impact of the elevator energy consumption and customer satisfaction. Then we respectively establish two optimization models which are the number of elevators known and unknown by dynamic programming algorithm and genetic algorithm. With an example of a high-rise building, we can get the optimization scheduling programs to verify the rationality of the model. Finally, VC++can be used to make the visualization of elevator scheduling beckoned to the interface. The research result of this paper will be used for the real architectures.

Key words: elevator traffic system, performance indices, elevator round trip time, partition running, dynamic programming, genetic algorithms

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