基于多参数优先级判定的PLC电梯群控动态调度算法研究

Research on Dynamic Scheduling Algorithm for PLC Elevator Group Control Based on Multi-Parameter Priority Determination

摘要: 随着城市化进程的加速，高层建筑数量持续增长，电梯群控系统的调度效率与资源配置合理性已成为亟待优化的关键问题。传统的调度算法在高负荷场景下存在响应延迟、能耗不均和调度冲突等弊端。本文基于西门子S7-1200系列PLC控制平台，针对现有电梯群控系统的结构特点和控制逻辑，提出了一种融合多参数优先级判定的改进型调度算法。该算法通过构建综合优先级函数，量化了乘客等待时间、电梯当前运行状态及任务分布等多种动态因素。通过在Simulink环境中进行建模与仿真，并将改进算法与传统的“分区调度”算法进行了对比。仿真结果表明，在高峰时段、低峰时段和特殊场景下，本文提出的算法均能有效缩短平均候梯时间，降低调度冲突，显著提升系统综合性能。

Abstract: With the acceleration of urbanization, the continuous growth of high-rise buildings has made the scheduling efficiency and resource allocation rationality of elevator group control systems a critical issue requiring urgent optimization. Traditional scheduling algorithms suffer from drawbacks such as response delays, uneven energy consumption, and scheduling conflicts under high-load scenarios. Based on the Siemens S7-1200 series PLC control platform, this paper proposes an improved scheduling algorithm that integrates multi-parameter priority determination, tailored to the structural characteristics and control logic of existing elevator group control systems. The algorithm constructs a comprehensive priority function to quantify dynamic factors including passenger waiting time, elevator operational status, and task distribution. Through modeling and simulation in the Simulink environment, the improved algorithm was compared with traditional “partition scheduling” algorithms. Simulation results demonstrate that under peak hours, off-peak hours, and special scenarios, the proposed algorithm effectively reduces average waiting time, decreases scheduling conflicts, and significantly enhances overall system performance.