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Research on Accident Inversion and Analysis Method of the Oil and Gas Pipeline SCADA System

机译:油气管道SCADA系统事故反演与分析方法研究

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It is more intuitive and clear to analyze and judge the pipeline accident with completely inversion and prediction. This paper studies accidents inversion and analysis methods for the oil and gas pipeline SCADA system. First, we save log data and real-time data section in the database and creating event scenes. Then, we use inversion with the accident realtime data section, log data and the timeline playback data. We also use an accident analysis method based on Apriori °ree;C a association rules mining algorithm with specified features, to make a preliminary diagnosis for the alarms, accidents, equipment breakdowns, etc. In the industry experiment, this new method is proved to be effective to help the dispatcher locate the accident spot and provide decision support for the reason analysis.
机译:通过完全的反演和预测,分析和判断管道事故更加直观,清晰。本文研究了油气管道SCADA系统的事故反演与分析方法。首先,我们将日志数据和实时数据部分保存在数据库中并创建事件场景。然后,我们将反演与事故实时数据部分,日志数据和时间轴回放数据一起使用。我们还使用了基于Apriori&C;一种具有特定功能的关联规则挖掘算法的事故分析方法,对警报,事故,设备故障等进行了初步诊断。在工业实验中,这种新方法被证明是可行的。有效地帮助调度员定位事故现场并为原因分析提供决策支持。

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