油气管网故障监测与诊断系统的配置工具模型算法研究

Research on Configuration Tool Models Algorithm of Fault Detection and Diagnosis System of Oil-gas Pipe Net

本文介绍了一种油气管网故障监测与诊断系统的算法配置工具,该工具针对油气管网故障监测与诊断系统的算法提供了配置模型,用户可以通过该配置工具对油气管网故障监测与诊断系统的核心算法进行研究,基于已有的生产数据以及管网模型,利用SCADA实时与历史数据,研究异常波动特征与规律,自动捕捉异常变化,判断正常工况与异常工况,分析识别影响因素,辅助运行人员快速识别与决策,以提高管网控制水平,降低运行风险,提高事件应对能力。

This article introduces an algorithm tool, which offers configuration models for fault detection and diagnosis system of the oilas pipe net. Equipped with this, users are able to research the core algorithm of detection and diagnosis system of the net. Based on the existing production statistics and net model, they are able to make full use of SCADA real time data and historical data to conduct research on characteristics and rules of abnormal fluctuations, snap abnormal changes automatic, identify normal works and abnormal ones, recognize affecting factors and analyze them, assist operators to be more efficient on identification and decision-making. We are aiming to offer a tool that promote the net control and reduce the operation risks as well as response capacity in emergency.