The invention belongs to the field of charging pile abnormality diagnosis, relates to a data analysis technology, is used for solving the problem that a DC charging pile power supply abnormality monitoring system in the prior art cannot diagnose an abnormality type during charging abnormality, and particularly relates to an artificial intelligence-based DC charging pile power supply abnormality diagnosis and prediction system, which comprises a diagnosis and prediction platform, the diagnosis and prediction platform is in communication connection with an operation monitoring module, a fault analysis module, a depth analysis module and a storage module; the operation monitoring module is used for monitoring and analyzing the operation state of the direct current charging pile. A charging gun connected with the direct current charging pile is marked as a monitoring object, and the monitoring coefficient of the monitoring object in the operation period is obtained. Monitoring coefficients of all monitoring objects of the direct current charging pile are sent to a fault analysis module through a diagnosis and prediction platform; according to the invention, the operation state of the DC charging pile can be monitored and analyzed, and the charging state of the monitored object in the operation period is fed back through the monitoring coefficient.

    本发明属于充电桩异常诊断领域,涉及数据分析技术,用于解决现有技术中的直流充电桩供电异常监测系统,无法在充电异常时对异常类型进行诊断的问题,具体是基于人工智能的直流充电桩供电异常诊断预测系统,包括诊断预测平台,诊断预测平台通信连接有运行监测模块、故障分析模块、深度分析模块以及存储模块;运行监测模块用于对直流充电桩的运行状态进行监测分析:将直流充电桩的连接充电枪标记为监测对象,获取监测对象在运行时段内的监测系数;将直流充电桩的所有监测对象的监测系数通过诊断预测平台发送至故障分析模块;本发明可以对直流充电桩的运行状态进行监测分析,通过监测系数对监测对象在运行时段内的充电状态进行反馈。


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    Titel :

    Direct current charging pile power supply abnormity diagnosis and prediction system based on artificial intelligence


    Weitere Titelangaben:

    基于人工智能的直流充电桩供电异常诊断预测系统


    Beteiligte:
    CAO MINGSHAN (Autor:in) / WEN JIANBO (Autor:in) / CHENG LINGHUI (Autor:in)

    Erscheinungsdatum :

    15.04.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G01R Messen elektrischer Größen , MEASURING ELECTRIC VARIABLES / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen



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