The invention provides a charging pile fault diagnosis model based on a large language model, and the method comprises the steps: building a continuously-updated charging pile fault diagnosis knowledge base based on charging pile fault diagnosis multi-mode input information and historical fault elimination experience; online continuous training is carried out on the charging pile fault diagnosis large language model based on the database, and the long-term effectiveness of the fault diagnosis method is improved; meanwhile, man-machine interaction between the charging pile fault diagnosis big language model and a worker is established, auxiliary diagnosis information is provided for the worker, manual diagnosis experience is provided for parameter training of the model, a diagnosis database can be perfected, manual maintenance experience is promoted, and database diagnosis precision is guaranteed.

    本发明提出一种基于大语言模型的充电桩故障诊断模型,基于充电桩故障诊断多模态输入信息和历史故障排除经验,构建可持续更新的充电桩故障诊断知识库;基于数据库对充电桩故障诊断大语言模型进行线上持续训练,提升故障诊断方法的长期有效性;与此同时,建立充电桩故障诊断大语言模型与工作人员的人机交互,既为工作人员提供辅助诊断信息,也为模型的参数训练提供人工诊断经验,有利于完善诊断数据库,推广人工检修经验,保证数据库诊断的精度。


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    Title :

    Charging pile fault diagnosis model based on large language model


    Additional title:

    一种基于大语言模型的充电桩故障诊断模型


    Contributors:
    WANG NING (author) / LYU YELIN (author) / WANG HAO (author) / ZHAO JIAQI (author)

    Publication date :

    2024-04-05


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen



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