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...

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Vydáno v:	2025 5th International Symposium on Computer Technology and Information Science (ISCTIS) s. 1296 - 1301
Hlavní autor:	Zhang, Zhengrui
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 16.05.2025
Témata:	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
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Popis
Shrnutí:	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