The invention relates to the technical field of deep learning, and discloses a liquid cooling heat dissipation automobile charging pile with a liquid leakage early warning function and an early warning method. The method comprises the steps of obtaining historical liquid leakage fault data of the liquid cooling heat dissipation automobile charging pile, and constructing a liquid leakage fault evolution chain of the liquid cooling heat dissipation automobile charging pile according to the historical liquid leakage fault data; performing liquid cooling system state data monitoring on the liquid cooling heat dissipation automobile charging pile to obtain an initial liquid cooling system state data set, and preprocessing the initial liquid cooling system state data set through a subspace recognition algorithm to obtain a target liquid cooling system state data set; performing fault feature extraction and feature matrix construction on the target liquid cooling system state data set based on the liquid leakage fault evolution chain to obtain a liquid cooling system fault feature matrix; and inputting the liquid cooling system fault feature matrix into a preset multi-classifier fusion decision model for liquid leakage fault diagnosis to obtain a liquid leakage fault diagnosis result, and improving the liquid leakage early warning accuracy of the liquid cooling heat dissipation automobile charging pile.
本申请涉及深度学习技术领域,公开了一种漏液预警的液冷散热汽车充电桩及预警方法。所述方法包括:获取液冷散热汽车充电桩的历史漏液故障数据,并根据历史漏液故障数据构建液冷散热汽车充电桩的漏液故障演化链;对液冷散热汽车充电桩进行液冷系统状态数据监控,得到初始液冷系统状态数据集,并通过子空间识别算法对初始液冷系统状态数据集进行预处理,得到目标液冷系统状态数据集;基于漏液故障演化链对目标液冷系统状态数据集进行故障特征提取和特征矩阵构建,得到液冷系统故障特征矩阵;将液冷系统故障特征矩阵输入预置的多分类器融合决策模型进行漏液故障诊断,得到漏液故障诊断结果,本申请提高了液冷散热汽车充电桩的漏液预警准确率。
Liquid-cooling heat dissipation automobile charging pile with liquid leakage early warning function and early warning method
一种漏液预警的液冷散热汽车充电桩及预警方法
2024-05-10
Patent
Electronic Resource
Chinese
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