基于边缘计算的电源网关设计研究

Huafeng Luo, Chaowen Dong, Hui Zhou, Liuwang Wang, Jun Yu, Jibo He
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引用次数: 0

摘要

本文借助Docker虚拟化技术,为网关构建了一个专用的计算服务模型。在分析边缘计算在现有电力行业不同应用的基础上,全面梳理Python语言和Docker技术,形成独特的服务体系,并对最终边缘计算网络所展示的具体相关系统进行合理的设计实验。最后的试验结果表明,本文设计的模型能够准确地获得接地刀的最终坐标位置信息和刀的实际旋转角度。同时,还可以根据网关图像的最终处理信息计算出损失率和缺陷剔除率,进而选择更合适的卷积核大小,即5×5。它可以很好地处理Docker电源网关设计过程中的逻辑混乱。遵循这一思路完成后续工作,可以保证设计目标的最终实现,即基于边缘计算的电源网关优化设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Power Gateway Design Based on Edge Computing
With the help of Docker virtualization technology, this paper builds a special computing service model for the gateway. Based on the analysis of different applications of edge computing in the existing power industry, it comprehensively sorts out Python language and Docker technology to form a unique service system, and makes a reasonable design experiment on the specific related system displayed by the final edge computing network. The final test results show that the model designed in this paper can accurately obtain the final coordinate position information of grounding knife and the actual rotation angle of the knife. At the same time, it can also calculate the loss rate and defect rejection rate according to the final processing information of the gateway image, and then choose a more appropriate convolution kernel size, which is 5×5. It can successfully handle the logic confusion in Docker’s power gateway design process. Following this idea to complete the follow-up work can ensure the final realization of the design goal, that is, the optimal design of power gateway based on edge computing.
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