Dynamic Multi-Factor Optimization for Elevator Group Control Scheduling

This paper proposes a dynamic multi-factor optimization algorithm for elevator group control to address the challenges of unbalanced capacity utilization and conflict in response efficiency in multi-elevator systems. The algorithm integrates response time, energy consumption, and passenger-load weig...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:2025 5th International Symposium on Computer Technology and Information Science (ISCTIS) S. 1296 - 1301
1. Verfasser: Zhang, Zhengrui
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 16.05.2025
Schlagworte:
Computational modeling
Dynamic scheduling
Dynamic scheduling algorithm
Elevator group control
Elevators
Heuristic algorithms
Load capacity balancing
Optimization
PLC-based control system
Processor scheduling
Programming
Real-time systems
Response cost optimization
Time factors
Transportation
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper proposes a dynamic multi-factor optimization algorithm for elevator group control to address the challenges of unbalanced capacity utilization and conflict in response efficiency in multi-elevator systems. The algorithm integrates response time, energy consumption, and passenger-load weight into a dynamic scheduling cost model, which is implemented through Siemens S7-1200 PLC with integrated Ladder Diagram (LAD) and Structured Control Language (SCL) programming. The dynamic reallocation mechanism balances the workload through real-time cost analysis. Simulations on a threeelevator ten-floor model demonstrates that transportation efficiency has increased by 19.0% and the average waiting time has been reduced by 19.3%, validating the effectiveness of the framework in real-time scheduling.
DOI:10.1109/ISCTIS65944.2025.11064957