The embodiment of the invention provides a train operation abnormity diagnosis method and device based on log data. The method comprises the following steps: collecting log data in real time, and storing the log data in a message queue; reading the log data from the message queue, and inputting the log data into a pre-designed multi-dimensional model number bin; in a multi-dimensional model data bin, analyzing the data, and processing the data into wide table data described by a dimension table and a fact table; and according to the train operation speed in the wide table data, diagnosing the train operation abnormal state. In this way, the log data can be obtained in real time, the train operation abnormal state can be rapidly recognized, the train abnormal state diagnosis efficiency is improved, and the train operation safety is improved.
本发明的实施例提供了一种基于日志数据的列车运行异常诊断方法和装置。所述方法包括实时采集日志数据,存储到消息队列中;从消息队列中读取日志数据,输入到预先设计的多维度模型数仓中;在多维度模型数仓中,将数据进行分析,并处理成通过维度表和事实表描述的宽表数据;根据宽表数据中的列车运行速度对列车运行异常状态进行诊断。以此方式,可以实时获取日志数据,快速识别出列车运行异常状态,提高列车异常状态诊断的效率,增加列车运行的安全性。
Train operation abnormity diagnosis method and device based on log data
基于日志数据的列车运行异常诊断方法和装置
2022-04-12
Patent
Electronic Resource
Chinese
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