摘要
输油管道进行长距离油品传输的过程中,传输管道内流体的温度随传输距离变化发生改变,造成压力波的不均衡,存在泄漏检测虚报警的问题;为此提出一种基于物联传感网的异常参数动态映射压力波提取算法,通过提取输油管道异常系数,建立压力波数据与输油管道空间位置的映射联系,进行管道异常定位,从而实现输油管道异常监测;根据实验结果分析可以得知,这种算法可以有效降低了虚报警,取得了令人满意的结果。
For long distance transmission oil pipeline in the process, the transmission line with the fluid temperature transmission distance change change, pressure wave of unbalanced, produce the problem of virtual alarm. Put forward a kind of, the anomaly parameters of the dy- namic mapping the pressure wave extraction algorithm, an oil pipeline through extracting anomaly coefficient, set up the pressure wave data and oil pipeline space position mapping relation, for pipeline abnormal orientation, so as to realize the abnormal condition of oil pipeline. Ac- cording to the analysis of experimental results can learn, this algorithm can effectively reduce the virtual alarm, achieved satisfactory results
出处
《计算机测量与控制》
CSCD
北大核心
2012年第8期2288-2290,2293,共4页
Computer Measurement &Control
关键词
物联网
输油管道
异常监测
content networking oil pipeline abnormal monitoring
作者简介
张天伍（1973-），男，河南新乡人，讲师，主要从事计算机网络、人工智能等方向的研究。
