The invention relates to a charging safety detection method and device, computer equipment and a storage medium. The method comprises the steps of obtaining charging data of a charging pile; inputting the charging data to the multi-task prediction model to obtain a safety detection result of the charging pile; wherein the multi-task prediction model comprises an expert network and a target prediction network; the expert network comprises at least one public expert network and a plurality of private expert networks; the public expert network is used for performing feature extraction and fusion processing on the charging data related to the physical fault and the charging data related to the virtual fault of the charging pile to obtain a public feature vector; the private expert network is used for performing feature extraction on the charging data of the charging pile in different scenes to obtain private feature vectors; and the target prediction network is used for performing multi-task prediction on a target feature vector obtained by fusing the public feature vector and the private feature vector to obtain a security detection result. Therefore, the relevance of different charging characteristics is considered, and the accuracy of a safety detection result is improved.
本申请涉及一种充电安全检测方法、装置、计算机设备和存储介质。方法包括:获取充电桩的充电数据;输入充电数据至多任务预测模型,得到充电桩的安全检测结果;其中,多任务预测模型包括专家网络和目标预测网络;专家网络包括至少一个公共专家网络及多个私有专家网络;公共专家网络用于对充电桩的物理故障相关的充电数据及虚拟故障相关的充电数据进行特征提取和融合处理,得到公共特征向量;私有专家网络用于分别对充电桩在不同场景下的充电数据进行特征提取,得到私有特征向量;目标预测网络用于对公共特征向量和私有特征向量融合得到的目标特征向量进行多任务预测,得到安全检测结果。如此考虑了不同充电特征的关联性,提升安全检测结果精准性。
Charging safety detection method and device, computer equipment and storage medium
充电安全检测方法、装置、计算机设备和存储介质
15.04.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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