集成电路应用2024,Vol.41Issue(3) :368-369.DOI:10.19339/j.issn.1674-2583.2024.03.169

充电桩故障的神经网络动态追踪与巡检技术分析

Analysis of Neural Network Dynamic Tracking and Inspection Techniques for Charging Station Faults

吴俊菁 何平 陈吉
集成电路应用2024,Vol.41Issue(3) :368-369.DOI:10.19339/j.issn.1674-2583.2024.03.169

充电桩故障的神经网络动态追踪与巡检技术分析

Analysis of Neural Network Dynamic Tracking and Inspection Techniques for Charging Station Faults

吴俊菁 1何平 1陈吉1
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作者信息

  • 1. 国网上海奉贤供电公司,上海 201400
  • 折叠

摘要

阐述针对充电桩故障的动态追踪数字化巡检问题,提出基于神经网络的关键技术.通过构建和训练一个神经网络模型,实现对充电桩故障的准确预测和动态追踪,并实验验证该技术的有效性.

Abstract

This paper describes the dynamic tracking digital inspection problem for charging station faults and proposes key technologies based on neural networks.By constructing and training a neural network model,it achieves accurate prediction and dynamic tracking of charging station faults,and experimentally verifies the effectiveness of this technology.

关键词

智能控制/充电桩故障/动态追踪/数字化巡检

Key words

intelligent control/charging station failure/dynamic tracking/digital inspection

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出版年

2024
集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
参考文献量2
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