Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

Design of Electric Power Intelligent Traffic System under Adaptive Dispatching Duty Mode

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  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344699,
        author={You  Wu and Feifan  Lu and Zhendong  Sun and Changqin  Lv and Zexiang  Huang},
        title={Design of Electric Power Intelligent Traffic System under Adaptive Dispatching Duty Mode},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={adaptive scheduling duty mode; electric intelligent traffic system; ai high performance core board; exchanger; multi-batch; operating time; situational characteristics; resource allocation;},
        doi={10.4108/eai.8-12-2023.2344699}
    }
    
  • You Wu
    Feifan Lu
    Zhendong Sun
    Changqin Lv
    Zexiang Huang
    Year: 2024
    Design of Electric Power Intelligent Traffic System under Adaptive Dispatching Duty Mode
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344699
You Wu1,*, Feifan Lu1, Zhendong Sun1, Changqin Lv1, Zexiang Huang1
  • 1: Shenzhen Power Supply Co., Ltd.
*Contact email: 418765296@qq.com

Abstract

Influenced by the multi-dimensional parallelism of the self-adaptive scheduling duty mode, the overload risk of the traffic system is high. Therefore, the design and research of the electric power intelligent traffic system under the self-adaptive scheduling duty mode are proposed. —SOM-3588, the high-performance core board of AI, is the development board of the system, and —FK-NSVU, a standard 6U 5HP VPX architecture product, is the switch of the system. After extracting the scene features of adaptive scheduling duty from the aspects of multi-batch and operation time of complex tasks, taking into account the objective needs of the actual adaptive scheduling duty mode scene, and taking the balance as the guide, the traffic resource allocation is designed pertinently. In the test results, the CPU occupancy rate of the design system is always below 30.0% in different task situations, and the overload risk is extremely low.