The invention discloses an elevator fault diagnosis method based on an artificial intelligence large model, and relates to the technical field of fault diagnos.The elevator fault diagnosis method comprises the steps that operation data generated when a target elevator operates are obtained, and the operation data with the operation data exceeding a preset data threshold value are removed; performing data division on the rejected elevator data sets, and dividing each elevator data set into an elevator training data set, an elevator verification data set and an elevator test data set; the method comprises the following steps: configuring a light direction in an InternLM-20B model to a localized weight path, and improving fault diagnosis of elevator operation data; hyper-parameter demand types are obtained, and hyper-parameter values are determined based on the hyper-parameter demand types; determining and substituting each hyper-parameter value, training the InternLM-20B model by using the elevator training data set, and determining the change of the loss value and the accuracy rate; and the elevator verification data set and the elevator test data set are substituted into the InternLM-20B model, and the accuracy of the InternLM-20B model is confirmed. The elevator fault diagnosis method has the effect of improving the accuracy of elevator fault diagnosis.
本申请公开了一种基于人工智能大模型的电梯故障诊断方法,涉及故障诊断技术领域,其包括获取目标电梯运行时所产生的运行数据,将运行数据超出预设数据阈值的运行数据进行剔除;对剔除后的电梯数据集进行数据划分,将各电梯数据集划分为电梯训练数据集、电梯验证数据集和电梯测试数据集;将InternLM‑20B模型中的Wight指向配置到本地化的权重路径,对电梯运行数据的故障诊断进行改进;获取超参数需求类型,基于各超参数需求类型确认各超参数数值;确认并代入各超参数数值,将电梯训练数据集对InternLM‑20B模型进行训练,确认损失值、准确率的变化;将电梯验证数据集和电梯测试数据集代入至InternLM‑20B模型,确认InternLM‑20B模型的准确性。本申请具有提高电梯故障诊断的准确性的效果。
Elevator fault diagnosis method based on artificial intelligence large model
一种基于人工智能大模型的电梯故障诊断方法
2024-04-12
Patent
Electronic Resource
Chinese
IPC: | B66B Aufzüge , ELEVATORS |
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