The invention discloses a fault diagnosis method for a bridge crane, relates to the technical field of fault diagnosis, and solves the technical problem in the prior art that the operation of the bridge crane can be influenced by no consideration of environmental factors so as to cause crane faults. The method comprises the following steps: acquiring operation data of the bridge crane and surrounding environment data; calculating an environment early warning evaluation coefficient based on the environment data; judging whether early warning information is generated or not based on the environment early warning evaluation coefficient and a preset environment threshold value; if yes, early warning information is sent to the user side; if not, continuously monitoring and judging; training an artificial intelligence model based on the historical operation data and the corresponding environment data to obtain a fault recognition model; and performing fault prediction identification on the operation data of the bridge crane and the environment early warning evaluation coefficient corresponding to the environment data based on the fault identification model to obtain an identification result, thereby solving the technical problem.
本发明公开了一种桥式起重机用故障诊断方法,涉及故障诊断技术领域,解决了现有技术没有考虑到环境因素也会影响桥式起重机的运行,从而导致起重机故障的技术问题;本发明通过获取桥式起重机的运行数据以及周围的环境数据;基于环境数据计算得到环境预警评估系数;基于环境预警评估系数与预设环境阈值判断是否生成预警信息;是,则发送预警信息至用户端;否,则持续监测判断;基于历史运行数据和对应的环境数据训练人工智能模型,得到故障识别模型;基于故障识别模型对桥式起重机的运行数据以及环境数据对应的环境预警评估系数进行故障预测识别,得到识别结果,解决了上述技术问题。
Fault diagnosis method for bridge crane
一种桥式起重机用故障诊断方法
2024-12-13
Patent
Electronic Resource
Chinese
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