The invention relates to the field of intelligent self-inspection of charging piles, and particularly discloses an intelligent charging pile with a self-inspection function and a method. The method comprises the following steps: firstly, acquiring temperature values of a to-be-monitored charging pile at a plurality of preset time points, temperature values of a surrounding environment of the to-be-monitored charging pile at a plurality of preset time points, working state data of a to-be-monitored radiator and a monitoring video of a to-be-monitored dustproof net; and then feature extraction and analysis are performed on the input data through a convolutional neural network model in a deep learning technology, and then a classification result used for representing whether the dustproof net of the to-be-detected charging pile needs to be maintained or not is obtained by combining feature information. In this way, the temperature and heat dissipation conditions of the charging pile can be monitored in real time, and maintenance personnel are reminded to conduct cleaning and maintenance in time. Therefore, the heat dissipation effect of the charging pile can be effectively improved, the overheating problem is reduced, and the potential risk to the electric vehicle and a user is reduced.
本申请涉及充电桩的智能自检领域,其具体地公开了一种具有自检功能的智能充电桩及方法,其首先采集待监测充电桩的多个预定时间点的温度值、待检测充电桩周围环境的多个预定时间点的温度值、待监测散热器的工作状态数据以及待监测防尘网的监控视频,接着通过深度学习技术中的卷积神经网络模型分别对这些输入数据进行特征提取和分析,然后结合这些特征信息以获得用于表示待检测充电桩的防尘网是否需要维护的分类结果。这样,能够实时监测充电桩的温度和散热情况,及时提醒维护人员进行清洗和维护。这样,能够有效地提高充电桩的散热效果,减少过热问题的发生,并降低对电动汽车和用户的潜在风险。
Intelligent charging pile with self-checking function and method
具有自检功能的智能充电桩及方法
16.07.2024
Patent
Elektronische Ressource
Chinesisch
IPC: | B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen |
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