Cloud-edge cooperative optimization scheduling strategy of metro integrated supervision and control system based on edge computing
Abstract Metro Integrated Supervision and Control System (MISCS) belongs to the category of integrated automation of electromechanical equipment of urban rail transit, through establishing the monitoring and control of each electromechanical equipment system, making its operation within the controll...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-01969-8 |
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| Summary: | Abstract Metro Integrated Supervision and Control System (MISCS) belongs to the category of integrated automation of electromechanical equipment of urban rail transit, through establishing the monitoring and control of each electromechanical equipment system, making its operation within the controllable scope, providing emergency treatment plan and rich information for safe operation and dispatching command, so as to ensure the safety and high efficiency of metro operation. rich information, so as to ensure the safety and high efficiency of metro operation. Aiming at the operation and scheduling pressure existing in the existing MISCS, a cloud-side cooperative optimization scheduling method for MISCS based on edge computing is designed by taking advantage of the real-time analysis and fast calculation of edge computing technology and relying on the cloud-side cooperative architecture. Using edge-side monitoring data ubiquitous sensing, edge node data feature analysis, panoramic monitoring visualization technology, optimizing the existing MISCS operation mode, designing the operation optimization scheme of the ground body integrated monitoring system applying edge computing technology, and targeting the problem of the current metro integrated monitoring system covering a wide range of areas and having too many tasks, which leads to the system latency being too high, under the cloud-edge cooperative architecture, we propose a simulated annealing-based Simulated-annealing-based Adaptive Genetic Taboo Search Algorithm (SAGTSA) computational offloading strategy, which enables the scheduling tasks of the MISCS to adaptively adjust the offloading strategy of migrating to the edge nodes or cloud center. According to the characteristics of task scheduling, a scheduling method based on improved pointer network (IPN) is designed for scheduling ISCS tasks after the computational offloading strategy based on SAGTSA is proposed. Simulation results show that the method proposed in this paper, the method proposed in this paper has ideal timeliness, is better than other methods in achieving the efficiency of scheduling computational tasks, effectively improves the operational performance of MISCS, and helps to enhance the stability of metro operation. |
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| ISSN: | 2199-4536 2198-6053 |