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 |
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| Jazyk: | angličtina |
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IEEE
16.05.2025
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Zhang, Zhengrui |
| Author_xml | – sequence: 1 givenname: Zhengrui surname: Zhang fullname: Zhang, Zhengrui email: zhengrui-zhang@foxmail.com organization: Xinjiang University,School of Electrical Engineering,Urumqi,China |
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| Snippet | This paper proposes a dynamic multi-factor optimization algorithm for elevator group control to address the challenges of unbalanced capacity utilization and... |
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| SubjectTerms | 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 |
| Title | Dynamic Multi-Factor Optimization for Elevator Group Control Scheduling |
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