管道盗油事件监测与提升小波熵分析  

Monitoring and Lifting Wavelet Entropy Analysis for Stealing Oil Events of Pipeline

作　　者：李迎春[1] 付兴建[2] 刘培培[1] 薛琴[1] 

机构地区：[1]北华航天工业学院电子工程系,河北廊坊065000 [2]北京信息科技大学自动化学院,北京100192

出　　处：《机床与液压》2016年第2期147-150,共4页Machine Tool & Hydraulics

基　　金：河北省教育厅项目(QN20131129;Z2014163);北京市自然科学基金资助项目(4132009);北京市属高等学校高层次人才引进与培养计划项目(CIT&TCD201304120)

摘　　要：介绍管道安全实时监测系统,给出DSP处理模块硬件结构;简述管道盗油事件的提升小波熵分析方法;并对所采集的管道振动信号进行了提升小波分解与熵值计算,给出盗油事件和无盗油事件的识别方法。实验结果表明:提升小波熵法能够实时有效地识别管道盗油事件,且该方法计算简单,编程容易实现,具有广阔的应用前景。Real?time pipeline safety monitoring system was presented and the DSP processing module hardware structure was giv?en. The method of lifting wavelet entropy was described. The lifting wavelet entropy values of pipeline signals were counted, and identi?fication method for stealing oil events was given. Experimental results demonstrate that lifting wavelet entropy method can be used to i?dentify effectively real?time pipeline stealing oil event. At the same time, this method is simple and easy to implement programming, which has broad application prospects.

关 键 词：盗油事件 实时监测 DSP 提升小波熵 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]