Hierarchical leak detection and localization method in natural gas pipeline monitoring sensor networks.
Hierarchical leak detection and localization method in natural gas pipeline monitoring sensor networks.
复制标题
天然气管道监测传感器网络中的分层泄漏检测与定位方法
DOI：
10.3390/s120100189
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Yu N
中科院分区：
文献类型：
--
作者：
Wan J;Yu Y;Wu Y;Feng R;Yu N
针对传统管道安全检测技术识别效率低、误判率高、定位精度差的问题，提出了一种用于天然气管道监测传感器网络的分层泄漏检测与定位方法。在信号预处理阶段，利用小波变换技术对原始监测信号进行处理，提取单模信号和特征参数。在初始识别阶段，构建了基于支持向量机的多分类器模型，将特征参数作为输入向量送入多分类器进行初始识别。在最终决策阶段，设计了一种改进的证据组合规则，将初始识别结果整合为最终决策。在此基础上，提出了基于到达时间差的加权平均定位算法来确定泄漏点的位置。实验结果表明，这种层次化的管道泄漏检测与定位方法能有效地提高泄漏点定位的准确性，降低漏检率和误警率。
In light of the problems of low recognition efficiency, high false rates and poor localization accuracy in traditional pipeline security detection technology, this paper proposes a type of hierarchical leak detection and localization method for use in natural gas pipeline monitoring sensor networks. In the signal preprocessing phase, original monitoring signals are dealt with by wavelet transform technology to extract the single mode signals as well as characteristic parameters. In the initial recognition phase, a multi-classifier model based on SVM is constructed and characteristic parameters are sent as input vectors to the multi-classifier for initial recognition. In the final decision phase, an improved evidence combination rule is designed to integrate initial recognition results for final decisions. Furthermore, a weighted average localization algorithm based on time difference of arrival is introduced for determining the leak point’s position. Experimental results illustrate that this hierarchical pipeline leak detection and localization method could effectively improve the accuracy of the leak point localization and reduce the undetected rate as well as false alarm rate.
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