离群点挖掘技术在成品油管道泄漏监测中的应用

Application of Outlier Mining Technology in Leak Detection of Oil Product Pipeline

在介绍了聚类和离群点挖掘概念的基础上,利用管道运行中采集的大量数据建立基于聚类的离群点挖掘模型,实现了对管道泄漏的快速检测、预警,避免了以往泄漏误报及反复报多、效率低、依靠人工核实,主观性强的弊端,提高了检测精度和效率,为成品油管道安全运行提供了保障。

On the basis of introducing the concept of clustering and outlier mining,a cluster based outlier mining model is set up to make full use of a large amount of data collected in the pipeline operation to realize the rapid warning of pipeline leakage. This method can avoid the shortcomings of previous leakage detection methods,such as much misinformation,low efficiency,manual verification and strong subjectivity,and improve the detection accuracy and efficiency,which can provide a guarantee for the safe operation of the oil product pipeline.