Research and implementation of energy saving scheduling algorithm for elevator group control system in intelligent building
智能建筑中电梯群控系统的节能调度算法研究与实现

摘要

当今智能建筑蓬勃发展，电梯作为核心垂直运输部件，能耗问题备受瞩目。本研究聚焦电梯群控系统节能调度算法，深入剖析传统算法在能耗把控、客流适配等方面缺陷，创新性引入动态时间规整、模糊逻辑技术，协同优化电梯运行。经模拟多类建筑场景及实地测试验证，新算法精准平衡候梯、乘梯体验，大幅削减能耗，有力推动智能建筑电梯迈向高效节能新阶段。

Abstract

Today, smart buildings are thriving, and elevators, as the core vertical transportation components, have garnered significant attention for their energy consumption issues. This study focuses on energy-saving scheduling algorithms for elevator cluster control systems, delving into the shortcomings of traditional algorithms in energy management and passenger flow adaptation. It innovatively introduces dynamic time regularization and fuzzy logic techniques to collaboratively optimize elevator operations. Through simulation of various building scenarios and on-site testing, the new algorithm accurately balances waiting times and elevator riding experiences, significantly reducing energy consumption and effectively advancing intelligent building elevators to a new stage of high efficiency and energy savings.