Research Article
Design of Electric Power Intelligent Traffic System under Adaptive Dispatching Duty Mode
@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
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.
