Dynamic Access Strategy of Power Terminals and Carbon Emission Tracking Method Based on Edge Computing
DOI:
https://doi.org/10.13052/spee1048-5236.44411Keywords:
Edge computing, dynamic access, carbon emission tracking, carbon emission calculationAbstract
With the rapid growth of power terminal devices and the increasing demand for low carbon emissions, how to efficiently manage device access and track carbon emissions has become a difficult problem. This paper proposes a solution based on edge computing, which includes an intelligent access strategy and a carbon emission tracking method. Firstly, an AI algorithm is used to dynamically adjust the access sequence of terminals, giving priority to ensuring the access of critical devices. Secondly, the complex carbon emission calculation model is simplified into a lightweight version suitable for the operation of edge devices. This method employs privacy protection
technologies to ensure the data security of each node. Tests based on publicly available power data show that when 200 devices are accessed simultaneously, compared with traditional methods, the access success rate is increased to 89.5%, the calculation error of carbon emissions is less than 4.3%, and the response speed is maintained within 0.15 seconds. This solution can be directly deployed on small devices such as the Raspberry Pi, providing a practical tool for the low-carbon transformation of the power system.
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